‏إظهار الرسائل ذات التسميات women. إظهار كافة الرسائل
‏إظهار الرسائل ذات التسميات women. إظهار كافة الرسائل

الأحد، 26 أغسطس 2012

Risk of preterm birth after treatment for cervical intraepithelial neoplasia among women attending colposcopy in England: retrospective-prospective cohort study

Risk of preterm birth after treatment for cervical intraepithelial neoplasia among women attending colposcopy in England: retrospective-prospective cohort study | BMJ

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Research Risk of preterm birth after treatment for cervical intraepithelial neoplasia among women attending colposcopy in England: retrospective-prospective cohort study BMJ 2012; 345 doi: 10.1136/bmj.e5174 (Published 17 August 2012) Cite this as: BMJ 2012;345:e5174 Article Related content Read responses (1) Article metrics Alejandra Castanon, epidemiologist1, Peter Brocklehurst, professor of women’s health2, Heather Evans, consultant obstetrics and gynaecology3, Donald Peebles, professor of maternal and fetal medicine2, Naveena Singh, consultant histopathologist4, Patrick Walker, consultant obstetrics and gynaecology3, Julietta Patnick, director5, Peter Sasieni, professor of cancer epidemiology and biostatistics1 for the PaCT Study Group
1Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UK
2Institute for Women’s Health UCL, London, UK
3Department of Gynaecology, Royal Free Hampstead NHS Trust, London, UK
4Division of Cellular Pathology, Barts Health NHS Trust, London
5NHS Cancer Screening Programmes, Sheffield, UKCorrespondence to: P Sasieni p.sasieni{at}qmul.ac.ukAccepted 23 July 2012AbstractObjective To explore the association between preterm delivery and treatment at colposcopy.

Design Retrospective-prospective cohort study using record linkage.

Setting 12 National Health Service hospitals in England.

Participants Women who had a cervical histology sample taken between 1987 and 2009. These women were linked by hospital episode statistics to hospital obstetric records between 1998 and 2009 for the whole of England to identify singleton live births between 20-43 gestational weeks before or after cervical histology.

Main outcome measures Proportion of preterm births (<37 weeks); the relative risk for the strength of association between preterm births and treatment for cervical intraepithelial neoplasia.

Results 18?441 singleton births occurred: 4176 before histology and 14?265 after histology. Of the singleton births after histology, 9.0% (n=1284) were preterm compared with 6.7% of all births in England over the same period (excess risk 2.3 per 100 births, 95% confidence interval 1.8% to 2.8%). Among first births after histology, the adjusted relative risk associated with previous treatment was 1.19 (95% confidence interval 1.01 to 1.41); among first births before histology the relative risk associated with subsequent treatment was 1.47 (1.05 to 2.05). Combining these, the relative risk associated with treatment adjusted for timing relative to histology was 0.91 (0.66 to 1.26) corresponding to an absolute difference of -0.25 (-2.61 to 2.11) per 100 singleton births. Among 372 women who gave birth both before and after treatment, there were 30 preterm births after treatment and 32 before treatment (relative risk 0.94, 0.62 to 1.43).

Conclusion The risk of preterm delivery in women treated by colposcopy in England was substantially less than that in many other studies, predominantly from Nordic countries. The increased risk may be a consequence of confounding and not caused by treatment. Although this study is reassuring for large loop excision of the transformation zone overall, it is possible that deep conisation or repeated treatment leads to an increased risk of preterm delivery.

IntroductionScreening for cervical cancer aims to detect and treat cancer precursors (cervical intraepithelial neoplasia) before progression to invasive cancer. Women with abnormal cytology are referred to colposcopy for further assessment. In the United Kingdom, most of these women will either have no procedure (and be discharged) or have a punch biopsy sample taken at their first colposcopy appointment to confirm the presence or absence of disease, whereas others (particularly those with high grade cytological abnormalities) may be offered excisional treatment at the first visit.1 Those with a histological sample showing high grade cervical intraepithelial neoplasia are commonly treated by large loop excision of the transformation zone (LLETZ). Other less common types of fertility preserving treatment include laser conisation, cold knife excision, cold coagulation, and other ablative treatments.2

In recent years several studies have linked treatment for cervical intraepithelial neoplasia with a higher risk of subsequent preterm delivery (before 37 completed weeks of gestation). Preterm infants are associated with substantial emotional and economic costs to their families and communities and have a disproportionate impact on health service utilisation. In 2006 a widely cited meta-analysis of 27 included studies found that large loop excision of the transformation zone was associated with preterm delivery, low birth weight, and preterm premature rupture of membranes.3 Since then several studies have been published on this subject. The largest to date, a Norwegian record linkage study of 57?136 births before treatment and 15?108 after treatment, found the proportion of preterm deliveries in each group, respectively, to be 6.7% and 17.2%.4 Few studies are from the United Kingdom and those that are tend to be generally small5 6 7 8 9 and do not confirm the strong association between treatment and subsequent preterm delivery found elsewhere. Colposcopy and treatment of cervical intraepithelial neoplasia in England is quality assured by the National Health Service cervical screening programme and self regulated by the British Society for Colposcopy and Cervical Pathology.10 It is possible that the results reported internationally are not representative of large loop excision of the transformation zone as carried out by specially trained colposcopists working to detailed clinical guidelines.

We explored the association between preterm delivery and treatment at colposcopy by comparing three populations: external (population of England), internal (within the cohort), and within individual women. We reasoned that although excisional treatment might result in a subsequent preterm delivery, punch biopsy is too small to have such a causal role. Furthermore, by definition treatment cannot affect the outcome of a birth that occurred before that treatment. In our analyses we adjusted for any increased risk associated with a history of cervical intraepithelial neoplasia and focused on the association with the treatment itself.

MethodsWe identified women from clinical records in 12 NHS hospitals as having had a cervical histology sample taken (by a punch biopsy at colposcopy or excisional treatment, or both) between January 1987 and December 2009. Hospitals included in the study responded to an invitation for participation in a letter posted on the British Society for Colposcopy and Cervical Pathology website and sent to the hospitals’ mailing lists. A prerequisite for participation was that the units had over 350 new referrals a year and support from their local research and development office. Of units that expressed an interest we selected the largest (>550 new referrals a year) in each region of the country to ensure representation from all of England. Three selected units could not obtain local ethical approval in time and we substituted these with others in regions already represented in the study and one with fewer than 300 referrals a year.

For each woman, we obtained the date of the first and last histological sample recorded in the clinic and requested the most severe procedure (that is, whether it was a punch biopsy or material from excisional treatment) carried out at these visits. Thus we split our cohort into three groups: women with a punch biopsy, women with excisional treatment, and women with a record of cervical histology but missing treatment status. We followed these women prospectively (through retrospective linkage) for gestational age of subsequent births, and retrospectively for gestational age of previous births.

To identify live births whether before or after the histological sample had been obtained, we linked women by their NHS number and date of birth to hospital episode statistics of inpatient obstetric records between April 1998 and April 2010 for the whole of England. The NHS number is a unique identifier issued when a birth is registered or when an individual first registers with an NHS general practitioner. Hospital episode statistics is a data warehouse containing details of all admissions to NHS hospitals in England, including private patients treated in NHS hospitals.11 From hospital episode statistics records we obtained information on month and year of delivery, gestational age, birth weight, onset of delivery, mode of delivery, resuscitation method, number of previous pregnancies, duration of stay in hospital, and any inpatient diagnosis or operation recorded for the mother.

National comparisonTo obtain the proportion of preterm deliveries in the population for the study period we extracted and pooled NHS maternity statistics12 (published by hospital episode statistics) from 2000-01 to 2009-10. We were unable to find data before April 2000 and would have considered age standardised proportions, but the published reports of gestational age by maternal age did not separate singleton from multiple births as we have done here.13

We considered only births with a known gestational age and that were between 20 and 43 weeks. As best practice indicates that pregnancies should not exceed the 42nd gestational week, we excluded infants born at gestational ages greater than 43 weeks to avoid any inaccuracies of gestational ages over 43 weeks. Because of concerns over accuracy we also excluded births with a recorded gestational age under 20 weeks (599 nationally and 16 in our cohort). We excluded multiple births (twins and triplets). The same exclusions applied to the NHS maternity statistics.

To avoid having to adjust for clustering of preterm deliveries within individuals we limited the internal analysis to the first pregnancy recorded in our cohort data during the 11 year period between 1998 and 2010. We also excluded antepartum stillbirths or stillbirths of indeterminate timing (n=216) on the basis that we could not establish whether preterm delivery was induced as a result of the death of the fetus or vice versa. Supplementary table A1 shows the distribution of births in the cohort by parity, whether the mother was treated before or after delivery, and type of treatment received.

Statistical analysisTo obtain relative risks and 95% confidence intervals for the difference in proportions of births that were preterm compared with those that were term, we used relative risk regression (an alternative to logistic regression for cohort studies) using the glm command in Stata. We adjusted the relative risks for maternal age at delivery (<25, 25-34, >34), parity (0, 1, 2, =3), and study site. To determine parity in the cohort we used the number of previous pregnancies recorded by hospital episode statistics, except where a birth was found in the dataset that was not reflected in the parity field. For completeness we also report the results of risk differences, also estimated using the glm command in Stata. P values cited are for the Pearson’s ?2 test for the difference between proportions or for the likelihood ratio test in other situations.

We compared singleton births using three groups. The first groups (external comparisons) were relative to NHS maternity statistics for the whole of England. In the external comparisons we compared all births in the cohort, all births after histology, and births after treatment with all births in England. For the internal comparisons we considered only first births in the dataset and compared (a) births after histology with those before histology, and births after treatment with each of (b) births before treatment, (c) births after histology in untreated women, and (d) births before histology in untreated women adjusting for disease history. The within woman comparison was between the last birth before colposcopy and the first after colposcopy in a given woman. We considered all women with births both before and after colposcopy and the subset of treated women. We also considered the ratio of the after to before effect in treated women relative to the effect in untreated women (that is, with biopsy only). The confidence interval for the women with biopsy only was obtained by treating the two relative risks (within treated women and within untreated women) as independent. In the within woman analyses we did not adjust for parity or maternal age. For dealing with the question of the effect of treatment on preterm delivery, we considered the most relevant analyses to be for the external comparison, births after treatment; for the internal comparison, births after treatment compared with births before histology adjusting for disease history; and for the within woman comparison, all treated women with births before and after treatment.

The risk ratio comparing births after treatment with births before histology adjusting for disease history is obtained from the interaction term (1 for post-treatment, 0 otherwise) in a generalised linear model with an effect for treatment (1 for treated or subsequently treated, 0 otherwise) and an effect for timing (1 for post-histology, 0 otherwise). In the absence of other adjustments, it is simply the ratio of the relative risks of preterm delivery in (a) births after treatment compared with births after biopsy only to (b) births before treatment compared with birth before biopsy only.

For comparison with published meta-analyses, we added our study to those in the published meta-analysis of 27 included studies to determine whether it differed significantly (taking into account the heterogeneity in earlier studies) using the metareg command in Stata. All analyses were done in Stata 11 (release 11.2. College Station, Texas).

ResultsParticipating hospitalsOn average, the 12 participating clinics were similar to the other 215 clinics in England for published data on colposcopy (see supplementary table A2). With one exception, the mean value of each data item in participating clinics was within the interquartile range of the other clinics. The one exception was the proportion of biopsy results reported within eight weeks, which was 83% in the study clinics but at least 86% in 75% of other clinics nationally. The clinics included in this study accounted for 8.5% of all patients having new colposcopy in England in 2005-06.1

CohortA total of 44?210 NHS numbers of women with data on cervical histology were submitted for linkage to hospital episode statistics, 81.3% (35?958 women) had at least one hospital admission between 1998 and 2009 and 46.8% (16?816/35?958) of those with a record had at least one birth recorded. A total of 26?897 births (in 16?816 women) were identified (fig 1?). Of these, 18?441 were singleton births with known gestational age between 20 and 43 gestational weeks, of which 1616 were preterm (20-36 weeks) and 471 were very preterm (20-32 weeks). Table 1? presents the proportion of births by maternal age at delivery, parity, timing relative to colposcopy, and procedure at colposcopy.

View larger version:In a new windowDownload as PowerPoint SlideFig 1 Flow of women through study

View this table:View PopupView InlineTable 1 Proportion of births by maternal age at delivery, parity, timing relative to colposcopy, and procedure at colposcopy

External comparison (population based)The average preterm delivery rate in England between 2000 and 2010 was 6.7% (34?153/510?660, fig 2?). The preterm rate varied from 6.9% in 2000 to 5.9% in 2009, with a minimum of 5.9% in 2009 and a maximum of 7.6% in 2004. Overall, the observed preterm rate in our cohort was 8.8% (1616/18?441), yielding an excess risk of preterm delivery of 2.08 per 100 singleton births (95% confidence interval 1.66% to 2.49%; P<0.001) and a relative risk of 1.31 (95% confidence interval 1.25 to 1.37) compared with the general population. The proportion of births after cervical histology that were preterm was 9.0% (1284/14?265), giving an excess risk of 2.31 per 100 births (1.84% to 2.79%) and a relative risk of 1.35 (1.28 to 1.42) compared with the general population. Similar results were observed for deliveries after treatment (9.4%, 449/4776, table 2?). This relative risk (1.41, 1.29 to 1.54) was significantly (P=0.03, even after allowing for heterogeneity in the meta-analysis) lower than the comparable result in a meta-analysis (1.97, 1.78 to 2.17).14 The proportion of preterm births after histology, however, varied widely by hospital (fig 2) from 6.2% (161/2608, Wirral University Teaching Hospital) to 15.6% (33/212, St Mary’s Hospital, Imperial College) (?211=66.07, P<0.001).

View larger version:In a new windowDownload as PowerPoint SlideFig 2 Proportion of preterm deliveries after colposcopy by study centre, overall, and compared with England

View this table:View PopupView InlineTable 2 Summary of analyses and results

Internal comparisonFor comparisons within the cohort only the first birth recorded in the dataset was included for each woman, and antepartum stillbirths and stillbirths of indeterminate timing were excluded. This left 12?937 births of which 1099 (8.5%) were preterm. Overall, 52.6% (n=578) of these preterm births had a gestational age of 35-36 weeks, 19.3% (n=212) at 33-34 weeks, 17.5% (n=192) at 29-32, and 10.6% (n=171) at 20-28 weeks. The mean maternal age at first recorded delivery (n=12?937) was 31 (interquartile range 27-34) years.

Among singleton births delivered after cervical histology, 8.9% (832/9368) were preterm compared with 7.5% (267/3569) of those delivered before the date of histology (table 2). The increase in risk of preterm delivery (adjusted by study site, parity, and maternal age at delivery) was significant (adjusted relative risk 1.32, 95% confidence interval 1.13 to 1.53). Figure 3? plots the relative risks for all 12 study sites: there was no evidence of heterogeneity between sites (?211=11.574, P=0.40).

View larger version:In a new windowDownload as PowerPoint SlideFig 3 Relative risk of preterm birth in women with a birth after compared with before colposcopy

The type of sample taken at colposcopy was recorded for 80.6% of births in the cohort (10?423 singleton births) including 77.8% (n=855) of preterm deliveries. Of those that had a delivery after colposcopy, the risk of preterm delivery in women who had a treatment was 9.1% (283/3095) compared with 8.3% (396/4770) in women who had a punch biopsy only (adjusted relative risk 1.19, 1.01 to 1.41). The absolute increased risk of preterm delivery after treatment when compared with a biopsy only adjusted for study site, parity, and maternal age was 1.5 per 100 births (0.1% to 2.9%).

The relative risks for treated versus punch biopsy were similar for births before the histological sample was taken (table 3?). Of births before histology, 7.8% (81/1045) of those in women who were subsequently treated were preterm compared with 6.3% (95/1513) in women who subsequently had a punch biopsy and no treatment (adjusted relative risk 1.31, 0.97 to 1.76, table 3). Thus the risk ratio comparing births after treatment with births before histology adjusting for disease history was 0.91 (95% confidence interval 0.66 to 1.26).

View this table:View PopupView InlineTable 3 Adjusted relative risks for association between cervical histology and preterm delivery

The proportion of births that were under 33 gestational weeks (see supplementary table A3) in those women who had a histology sample taken before birth was 2.8% (243/8779) compared with 2.0% (66/3368) in women who had a histology sample taken after birth (adjusted relative risk 1.60, 1.18 to 2.18). The adjusted relative risk in births after colposcopy comparing treatment with biopsy only was 1.23 (0.89 to 1.69). Further adjustment for disease history yielded a relative risk for delivery under 33 weeks of 0.81 (0.43 to 1.52).

Since the analysis was limited to the first recorded birth in each woman, the risk ratio (treated versus punch biopsy) was also examined and was different in second or subsequent births after colposcopy compared with first births after colposcopy. The adjusted relative risk for treatment in second and subsequent births after colposcopy was non-significantly (P=0.39) greater than for first births after colposcopy, but similar to that of the last birth before colposcopy (see supplementary table A4).

Within womanAn analysis was carried out restricted to women who had a birth both before and after a colposcopy (within woman comparison, table 2). For each woman the last birth before treatment and the first birth after treatment was only included. This left 1078 women. There were 80 (7.4%) preterm births before colposcopy and 98 (9.1%) after colposcopy (relative risk 1.23, 95% confidence interval 0.95 to 1.59, P=0.15). In 372 women with births both before and after treatment, there were 30 preterm births after treatment and 32 before treatment (the relative risk of preterm birth after treatment was 0.94, 0.62 to 1.43). In 501 women with births both before and after punch biopsy, the relative risk of preterm birth after a punch biopsy was 1.14 (0.77 to 1.66). The ratio of the risk ratios (of preterm birth after:before colposcopy) for treated compared with untreated (biopsy only) women was 0.82 (0.27 to 3.17, see supplementary table A5).

Since in general the risk of a preterm birth is greater in a first birth than in a second birth (8.8% v 7.6% in the study cohort, table 1), and given that most women who gave birth both before and after colposcopy had exactly one birth before colposcopy (so that that second births were compared with first births), the relative risk will have been underestimated. However, in women with at least two births the risk of preterm on first birth was less (8.1%), yielding a relative risk of 0.98 (0.85 to 1.13) for second birth compared with first birth in women with at least two births.

DiscussionIn this study of 18?441 singleton deliveries in women who had a cervical biopsy sample taken during colposcopy in England, the additional risk of a preterm birth over that in the general population was 2.1 per 100 singleton births, yielding a relative risk of 1.31. Comparing births in women within the cohort (table 2), the relative risk in women who previously had treatment (conisation, large loop excision of the transformation zone, loop excision) compared with those who only had a biopsy was 1.19. However, the relative risk of preterm delivery in women before colposcopy comparing those who subsequently had treatment with those who subsequently only had a biopsy was also greater than 1 (1.33). Consequently the risk ratio comparing births after treatment with births before histology adjusting for disease history was less than 1, with an upper limit of the 95% confidence interval of 1.26. Furthermore, in 372 women who gave birth both before and after treatment for cervical intraepithelial neoplasia, the number of births that were preterm was fewer after treatment than before (30 v 32).

Strengths and limitations of the studyIn considering causality in the absence of a randomised controlled trial, we took into account confounding by risk modifying factors and the temporality of cause and effect. We allowed for the possibility of general confounding: factors (such as smoking or ethnicity) that might predispose a woman to both abnormal cervical cytology and preterm births; confounding by disease severity—the possibility that factors (such as immune suppression) that make it more likely for a woman to have high grade disease (and be treated by cone excision) will also make her more likely to have a preterm birth; and disease causing prematurity—that the disease in itself (or factors that lead to its presentation) rather than its treatment makes a woman more likely to have a preterm birth. In our analyses we attempted to take into account all three possible sources of confounding. The first analyses included all singleton births in the cohort to ease comparison with published population statistics. Although we present the risk of preterm birth for both the whole cohort and births after treatment, we did not adjust for possible confounding. The internal analysis eliminates general confounding because all women by definition have had colposcopy. To exclude confounding by disease severity, we considered women with treatment and compared births after treatment with those before treatment. To exclude confounding owing to disease causing preterm delivery, we compared births after treatment with those after biopsy only. To take account of both disease severity and temporality, we calculated the ratio of these relative risks. This ratio was less than 1, suggesting that the associations observed in the other analyses could all result from confounding. Finally we took births before and after colposcopy in the same woman. Such an analysis is complicated by changing parity and maternal age, but the relative risk after treatment was less than 1. Additionally, the post-colposcopy relative risk in treated women was less than that in women who only had a punch biopsy (see supplementary table A5) suggesting that confounding has not artificially reduced the relative risk of treatment. However, for 19.4% of women we do not know the type of procedure carried out at colposcopy. This could have an important impact on the estimates comparing treated with untreated women if, for instance, those with an unknown procedure were more likely both to be treated and to subsequently have a preterm birth. This problem will be further investigated in phase 2 of this study (a nested case-control study).

The results in this paper depend on the quality of birth data submitted by participating clinics (NHS trusts) to hospital episode statistics. The proportion of preterm births will also be affected by the population served by the clinic. For example, Whipps Cross Hospital serves a community with a high proportion of ethnic minority groups, whereas St Mary’s Hospital is a referral centre for high risk pregnancies from across London.

There is also a question as to how representative the colposcopy units in this study are of colposcopy done across England. The 12 participating units included both teaching and non-teaching hospitals but were primarily self selected. We therefore investigated the extent to which they seemed to be representative of all colposcopy clinics in England on the basis of published data. Comparing nationally collected statistics from the clinics in this study with the other (n=215) clinics in England showed that in terms of these statistics, the clinics in this study were not atypical of the rest of the country. Colposcopy clinics in England are audited every three years, as are all colposcopists to maintain their membership with the British Society for Colposcopy and Cervical Pathology. Thus the standard of colposcopy in England is likely to be more homogeneous than in many countries. Even if treatment in smaller centres resulted in a greater risk of preterm delivery, we believe that this study (with 8.5% of all new patients in England) is representative of most colposcopy in England.

We tried to minimise biases in this study by restricting the analysis to the first live singleton birth recorded for each women and by adjusting the relative risk by study centre. Additionally, the design of the study avoided recall and selection bias. However, we had no information on risk modifying factors such as ethnicity or smoking, nor did we have any detailed information on treatment received at colposcopy.

Comparison with other studiesThis is the largest study of preterm delivery in women with cytological abnormalities in the United Kingdom. A meta-analysis including 30 cohort studies in total found that the type of comparison group was important in determining the relative risk of preterm delivery.14 When the comparison group was external (such as the general population) the relative risk of preterm delivery was 1.97 (95% confidence interval 1.78 to 2.17). Similarly, when the comparison group was internal (comparing births after treatment with those before treatment), the relative risk was 1.96 (1.46 to 2.64). However, when the analysis was carried out within a cohort of women with cytological abnormalities comparing treated with untreated women, the relative risk was 1.25 (0.98 to 1.58). Three studies from Nordic countries obtained relative risks between 1.8 and 2.8 (all except one not included in the meta-analysis). Of the excluded studies, a large study from Norway found a relative risk of 2.13 (95% confidence interval 2.06 to 2.20) comparing (all not just singleton) births after treatment with births before treatment, but reported a declining relative risk during the study period.4 The absolute risk was 17.2% (in 15?108 births after treatment). Our preterm risk in treated women is clearly less. A study from Denmark had a relative risk of 2.8 (95% confidence interval 2.3 to 3.5) compared with an external control group.15 The same study also provided a within woman odds ratio of 2.8 (95% confidence interval 1.0 to10.0) as did a study from Finland (1.8, 95% confidence interval 1.04 to 3.21).16

The relative risk of preterm delivery after treatment observed in this study compared with the population as a whole is substantially (and significantly) less than that found in the studies included in the Bruinsma meta-analysis.14 Additionally, our internal analyses tend not to support the hypothesis that treatment increases the risk of preterm delivery, by a factor of about 1.7 to 2.0; the analysis that adjusts for both the timing of the delivery relative to colposcopy and whether there was treatment or just a punch biopsy gives a relative risk of 0.91 (95% confidence interval 0.66 to 1.26) for births subsequent to treatment.

Several studies have suggested that it is the amount of tissue removed from the cervix that produces the excess risk, not the procedure itself.17 18 19 It is possible that owing to the quality assurance of the colposcopy programme in England through both the cervical screening programme and the British Society for Colposcopy and Cervical Pathology, tissue removed during colposcopy is kept to a minimum and this could explain the smaller relative risks that we observed. This might be particularly relevant in the self selected colposcopy units in this study. We are currently undergoing phase 2 of this study in which we will attempt to obtain detailed colposcopy and pathology information on all women with a preterm delivery and a sample of women with a term delivery in this cohort. In particular, we are recording the measurements of the tissue excised and whether the woman was treated more than once. It seems likely that removal or destruction of a large amount of tissue may increase the risk of subsequent preterm delivery more than is seen on average.

Conclusions and policy implicationsThe results presented here are encouraging. Accepting the limitations of this study, women treated within the NHS cervical screening programme and particularly those treated in large colposcopy units should be reassured that, in this study of 44?000 women having colposcopy including 14?265 singleton births after colposcopy, the risk of a birth being preterm was 9.0% and only slightly greater than the risk in the general population. Phase 2 of this study should strengthen the results presented here and provide information on the risk associated with the depth of cervical tissue removed.

What is already known on this topicMost studies of preterm delivery after large loop excision of the transformation zone found that treatment was associated with increased risk

An influential meta-analysis (27 studies) found a relative risk of 1.70 (95% confidence interval 1.24 to 2.35)

Subsequent large studies from Nordic countries estimated the relative risk to be between 1.8 and 2.8

What this study addsAfter adjusting for confounding, the increased risk of preterm delivery in births after treatment for cervical intraepithelial neoplasia ceases to exist

There is only a small chance (2.5%) that the risk of preterm delivery is increased by more than 3.5 per 100 births in women treated in England

The relative risk here is significantly less than reported previously possibly because colposcopy treatment is quality assured

NotesCite this as: BMJ 2012;345:e5174

FootnotesMembers of the PaCT Study Group were responsible for the collection of data included in this study. N Gul and A Miles (Wirral University Teaching Hospital), A Hollingworth and R Wuntakal (Whipps Cross University Hospital London), N Singh and A Parberry (Barts and the London NHS Trust), J Palmer (Royal Hallamshire Hospital, Sheffield), N Das and L Russ (Royal Cornwall Hospital), N Wood and S Preston (Royal Preston Hospital Lancashire), M Hannemann and D Fuller (Royal Devon and Exeter NHS Foundation Trust), K Lincoln and P Rolland (The James Cook University Hospital, South Tees), S Ghaem-Maghami and P Soutter (Hammersmith Hospital, Imperial College), R Hutson (St James University Hospital, Leeds), P Senguita and J Dent (North Durham County and Darlington Trust), and D Lyons (St Mary’s Hospital, Imperial College).

Contributors: PS analysed the data and designed the database. He is the guarantor of the study and therefore accepts full responsibility for the work and the conduct of the study, had access to the data, and controlled the decision to publish. AC collated and analysed the data. All authors designed and established the study, wrote the paper, and approved the final version.

Funding: This manuscript presents independent research funded by the National Institute for Health Research (NIHR) under its research for patient benefit programme (No PB-PG-1208-16187). The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR, or the Department of Health.

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; and no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: This study was approved by the Brompton, Harefield, and NHLI research ethics committee, Charing Cross Hospital, London (No 09/H0708/65).

Data sharing: The statistical code is available from the corresponding author at p.sasieni{at}qmul.ac.uk.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

References?Lancucki L, ed. Cervical screening programme, England: 2005-06. NHS Information Centre, 2006. ?Luesley DLS, ed. NHS cervical screening programme. Colposcopy and programme management. Guidelines for the NHS cervical screening programme. NHS Information Centre, 2004.?Kyrgiou M, Koliopoulos G, Martin-Hirsch PL, Arbyn M, Prendiville W. Obstetric outcome after conservative treatment for intraepithelial or early invasive cervical lesions: systematic review and meta-analysis. Lancet2006;367:489-98.OpenUrlCrossRefMedlineWeb of Science?Albrechtsen S, Rasmussen S, Thoresen S, Irgens LM, Iversen OE. Pregnancy outcome in women before and after cervical conisation: population based cohort study. BMJ2008;337:a1343.OpenUrlFREE Full Text?Reilly R, Paranjothy S, Beer H, Brooks C, Fielder H, Lyons R. Birth outcomes following treatment for precancerous changes to the cervix: a population-based record linkage study. BJOG2012;119:236-44.OpenUrlCrossRefMedline?Cruickshank M, Flannelly G, Campbell DM. Fertility and pregnancy outcome following large loop excision of the cervical transformation zone. Br J Obstet Gynaecol1995;102:467-70.OpenUrlMedlineWeb of Science?Shanbhag S, Clark H, Timmaraju V, Bhattacharya S, Cruickshank M. Pregnancy outcome after treatment for cervical intraepithelial neoplasia. Obstet Gynecol2009;114:727-35.OpenUrlCrossRefMedlineWeb of Science?Haffenden DK, Bigrigg A, Codling BW, Read MD. Pregnancy following large loop excision of the transformation zone. Br J Obstet Gynaecol1993;100:1059-60.OpenUrlMedlineWeb of Science?Tan L, Pepera E, Haloob RK. The outcome of pregnancy after large loop excision of the transformation zone of the cervix. J Obstet Gynaecol2004;24:25-7.OpenUrlCrossRefMedline?British Society for Colposcopy and Cervical Pathology. Constitution. BSCCP, 1975.?HES Online. What is HES? 2005-2007. 2011. www.hesonline.nhs.uk/Ease/servlet/ContentServer?siteID=1937&categoryID=456>.?NHS Information Centre. NHS maternity statistics, 2000-2010. 2010. www.ic.nhs.uk/pubs.?Office for National Statistics. Gestation-specific infant mortality in England and Wales, 2009. www.ons.gov.uk/ons/rel/child-health/gestation-specific-infant-mortality-in-england-and-wales/2009/index.html.?Bruinsma FJ, Quinn MA. The risk of preterm birth following treatment for precancerous changes in the cervix: a systematic review and meta-analysis. BJOG2011;118:1031-41.OpenUrlCrossRefMedline?Ortoft G, Henriksen T, Hansen E, Petersen L. After conisation of the cervix, the perinatal mortality as a result of preterm delivery increases in subsequent pregnancy. BJOG2010;117:258-67.OpenUrlCrossRefMedline?Jakobsson M, Gissler M, Paavonen J, Tapper AM. Loop electrosurgical excision procedure and the risk for preterm birth. Obstet Gynecol2009;114:504-10.OpenUrlCrossRefMedlineWeb of Science?Noehr B, Jensen A, Frederiksen K, Tabor A, Kjaer SK. Loop electrosurgical excision of the cervix and subsequent risk for spontaneous preterm delivery: a population-based study of singleton deliveries during a 9-year period. Am J Obstet Gynecol2009;201:33,e1-6.OpenUrlMedline?Acharya G, Kjeldberg I, Hansen SM, Sorheim N, Jacobsen BK, Maltau JM. Pregnancy outcome after loop electrosurgical excision procedure for the management of cervical intraepithelial neoplasia. Arch Gynecol Obstet2005;272:109-12.OpenUrlCrossRefMedline?Sadler L, Saftlas A, Wang W, Exeter M, Whittaker J, McCowan L. Treatment for cervical intraepithelial neoplasia and risk of preterm delivery. 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Migraine and cognitive decline among women: prospective cohort study

Migraine and cognitive decline among women: prospective cohort study | BMJ

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Research Migraine and cognitive decline among women: prospective cohort study BMJ 2012; 345 doi: 10.1136/bmj.e5027 (Published 8 August 2012) Cite this as: BMJ 2012;345:e5027 Headache (including migraine) Epidemiologic studies Memory disorders (psychiatry) Article Related content Article metrics Pamela M Rist, fellow12, Jae H Kang, assistant professor3, Julie E Buring, professor12, M Maria Glymour, assistant professor4, Fran Grodstein, associate professor23, Tobias Kurth, director of research1256
1Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
2Department of Epidemiology, Harvard School of Public Health, Boston, MA
3Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital
4Department of Society, Human Development, and Health, Harvard School of Public Health
5INSERM Unit 708-Neuroepidemiology, Bordeaux, France
6University of Bordeaux, Bordeaux, FranceCorrespondence to: T Kurth, INSERM Unit 708-Neuroepidemiology, Université Bordeaux Segalen,146 rue Léo Saignat, case 11, 33076 Bordeaux cedex, France tobias.kurth{at}univ-bordeaux.frAccepted 9 July 2012AbstractObjective To evaluate the association between migraine and cognitive decline among women.

Design Prospective cohort study.

Setting Women’s Health Study, United States.

Participants 6349 women aged 65 or older enrolled in the Women’s Health Study who provided information about migraine status at baseline and participated in cognitive testing during follow-up. Participants were classified into four groups: no history of migraine, migraine with aura, migraine without aura, and past history of migraine (reports of migraine history but no migraine in the year prior to baseline).

Main outcome measures Cognitive testing was carried out at two year intervals up to three times using the telephone interview for cognitive status, immediate and delayed recall trials of the east Boston memory test, delayed recall trial of the telephone interview for cognitive status 10 word list, and a category fluency test. All tests were combined into a global cognitive score, and tests assessing verbal memory were combined to create a verbal memory score.

Results Of the 6349 women, 853 (13.4%) reported any migraine; of these, 195 (22.9%) reported migraine with aura, 248 (29.1%) migraine without aura, and 410 (48.1%) a past history of migraine. Compared with women with no history of migraine, those who experienced migraine with or without aura or had a past history of migraine did not have significantly different rates of cognitive decline in any of the cognitive scores: values for the rate of change of the global cognitive score between baseline and the last observation ranged from -0.01 (SE 0.04) for past history of migraine to 0.08 (SE 0.04) for migraine with aura when compared with women without any history of migraine. Women who experienced migraine were also not at increased risk of substantial cognitive decline (worst 10% of the distribution of decline). When compared with women without a history of migraine, the relative risks for the global score ranged from 0.77 (95% confidence interval 0.46 to 1.28) for women with migraine without aura to 1.17 (0.84 to 1.63) for women with a past history of migraine.

Conclusion In this prospective cohort of women, migraine status was not associated with faster rates of cognitive decline.

IntroductionMigraine is a chronic-intermittent primary headache disorder that affects about 20% of the female population.1 Up to one third of those with migraine experience aura (that is, transient neurology symptoms mainly of the visual field) before or during a migraine attack. Besides the headache, migraine is believed to usually be a benign condition. However, previous studies have linked migraine, especially migraine with aura, to an increased risk of ischaemic stroke.2 In addition to increasing the risk of stroke, migraine has also been associated with an increased prevalence of clinically silent brain lesions.3 4 5 In the general population, silent brain lesions have been shown to be a risk factor for dementia and cognitive decline,6 leading to speculation that migraine may be a progressive brain disorder.7 Determining if there is an association between migraine and cognitive decline among women is important because women are more likely than men to experience migraines1 and also have a higher prevalence of dementia.8 If an association between migraine and cognitive decline does exist, preventing the onset of migraines may be one way to slow the progression of cognitive decline. Additionally, interventions aimed at preserving cognitive function could be targeted to women who experience migraine.

Although several cross sectional studies9 10 11 12 13 14 15 16 17 18 19 and a few prospective studies20 21 22 have examined the association between migraine and cognitive decline, many were small or were unable to stratify the association between migraine and cognitive decline by aura status. Using data from the Women’s Health Study, we examined the association between migraine subtypes and cognitive decline during four years of follow-up.

MethodsThe Women’s Health Study was a randomised, placebo controlled clinical trial designed to test the effects of low dose aspirin and vitamin E in the primary prevention of cardiovascular disease and cancer. The design and results of the study have been reported previously.23 24 25 Briefly, at baseline (1992-95), 39?876 US female health professionals age 45 or older without a history of cardiovascular disease, cancer, or other major illnesses were enrolled. The clinical trial ended in March 2004, and the women are currently being followed in an observational study.

In 1998, a cognitive subcohort of women participating in the Women’s Health Study was started.26 27 Women were eligible to participate if they were aged 65 or older. Of the 7175 women eligible to participate, 6377 completed the initial cognitive assessment. Two additional follow-up assessments were done, each about two years apart. Of those who completed the initial assessment, 5845 (91.7%) completed at least one follow-up assessment and 5073 (79.5%) completed all assessments. About 8% of participants did not complete any follow-up assessments owing to death (2%), being unreachable (1%), or refusal (5%).

Assessment of migraine On the baseline questionnaire we asked the women “Have you ever had migraine headaches?” and “In the past year, have you had migraine headaches?” We also asked the women who reported experiencing migraine headaches within the past year about the characteristics of their attacks, including the presence of aura or any indication that a migraine was coming. Using the women’s responses to these questions, we divided them into four categories: no migraine history, migraine with aura (women who indicated experiencing migraine within the year before baseline and who reported the presence of aura or any indication that a migraine was coming), migraine without aura, and a past history of migraine (women who reported ever having migraine headache but not experiencing migraine headache within the year before baseline). Previous validation studies in the Women’s Health Study have shown good agreement between self reported migraine and the International Classification of Headache Disorders I and II.28 29 For this analysis we excluded the 28 women who did not provide information on migraine status at baseline. The figure? shows the number of women included and excluded at each stage of the design.

View larger version:In a new windowDownload as PowerPoint SlideFlow chart of participation in migraine and cognitive decline study among women enrolled in the Women’s Health Study

Assessment of outcomesInterviewers blinded to the participant’s migraine status administered the telephone cognitive assessment. The assessment was composed of five separate tests: telephone interview for cognitive status, immediate and delayed recall trials of the east Boston memory test, delayed recall trial of the telephone interview for cognitive status 10 word list, and a category fluency task. The telephone interview for cognitive status assesses global cognitive function and is a telephone adaptation of the mini-mental state examination.30 Scores range from 0 to 41 points, and the test is shown to have high reliability and validity for measuring cognitive function.31 The east Boston memory test assesses verbal memory with scores ranging from 0 to 12 points.32 The delayed recall of the telephone interview for cognitive status 10 word list also assesses verbal memory. The category fluency test assesses language and executive functioning26 33 by asking women to name as many animals as possible in one minute. The validity of the telephone assessment compared with face to face interviews has been shown in previous studies (r=0.81 comparing our brief telephone administered cognitive assessment with face to face interviews composed of 21 tests).26 34

To create a global cognitive score we averaged z scores for performance on each of the five tests. For the 0.4% of participants who did not complete all five tests we used the mean of the z scores of the completed tests. We created a verbal memory composite score by averaging the z scores of the immediate and delayed recalls of both the east Boston memory test and the telephone interview for cognitive status 10 word list. Both of these composite scores have been used in previous studies in the Women’s Health Study.26 27 33 34 Finally, we also examined separately scores on the telephone interview for cognitive status as an additional measure of global cognition and scores on the category fluency task as executive function is particularly affected by clinical or subclinical stroke.

Statistical analysisWe calculated means for continuous baseline characteristics and frequencies for categorical baseline characteristics. At each cognitive assessment we used repeated measures analyses to examine mean performance. We adjusted for several potential confounders, as measured at baseline: age (continuous), smoking status (never, former, current), alcohol consumption (=3 drinks per month, 1-6 drinks per week, =1 drinks per day), body mass index (<25, 25-29.9, =30 kg/m2), educational attainment (less than a bachelors degrees versus bachelors degree or above), use of postmenopausal hormones (never, current, or past), history of high cholesterol levels (yes or no), treatment for high cholesterol levels (yes or no), history of hypertension (yes or no), treatment for hypertension (yes or no), diabetes (yes or no), and history of oral contraceptive use (yes or no).

To examine change in cognitive functioning over time we used general linear models of response profiles. Similar to previous studies done using data from the Women’s Health Study,26 27 33 we modelled time nominally rather than linearly (since there was not a linear relation between time and cognitive performance) and modelled the effect of migraine status over time (the joint effects of migraine and time) by using interaction terms between migraine status and time. All models were fitted using maximum likelihood and accounted for the longitudinal correlation within participants by using an unstructured covariance matrix. We carried out age and multivariable adjusted analyses. The multivariable analysis adjusted for the same potential confounders as the repeated measures analysis of means with the exception of excluding treatment for high cholesterol levels for the global score and category fluency outcomes due to problems with model convergence. We also tested for effect modification by age (dichotomised at the median age of 75 years), history of hypertension, cardiovascular disease (all incident occurrences from baseline to the end of the cognitive substudy), baseline score for the global score, verbal score, telephone interview for cognitive status, and category fluency score (dichotomised at the median), perceived change in memory (worse versus no change or improvement), and educational attainment. The testing was done by including a three way interaction term for each variable with migraine status and time in separate age adjusted models.

We assigned women with missing information on body mass index (n=149) to a separate category. For other covariates, the number of women with missing information was small (<100 for each variable), so we assigned them to the never/rarely or no use categories or, in the case of education, we used information on years of education to impute their highest educational attainment.

We carried out additional analyses using logistic regression to determine if migraine increased the risk of “substantial” cognitive decline. Substantial cognitive decline was defined as the worst 10% of the distribution of decline from the initial to the final cognitive assessment of the whole study cohort. We adjusted for all variables included in our previous analyses of mean scores and also adjusted for the time between entry into the Women’s Health Study and third cognitive assessments.

All models were fit using SAS 9.1. All probability values were two tailed, and we considered P<0.05 to be statistically significant.

ResultsOf the 6349 women, 853 (13.4%) reported any migraine; of these, 195 (22.9%) reported migraine with aura, 248 (29.1%) migraine without aura, and 410 (48.1%) a past history of migraine. Table 1? shows the baseline characteristics of the participating women. Women who experienced migraine with aura were less likely to consume alcohol than women in the other migraine categories. Women who reported a past history of migraine had less education than women without any history of migraine, migraine with aura, or migraine without aura. Women with no history of migraine were more likely to have diabetes. Women with migraine without aura were the least likely to exercise.

View this table:View PopupView InlineTable 1 Baseline characteristics of 6349 women according to migraine status. Values are numbers (percentages) of women unless stated otherwise

The mean follow-up time for the cognitive substudy was 3.4 years. Table 2? shows the average test scores at each cognitive assessment by migraine status adjusted for potential confounders. The global scores, verbal scores, or telephone interview for cognitive status scores did not differ significantly among the migraine categories. For the category fluency test, the scores differed significantly among the migraine groups at the second and third cognitive testing. Overall, cognitive performance seemed to be similar or even slightly better for women in the migraine groups than for women with no history of migraine.

View this table:View PopupView InlineTable 2 Multivariable adjusted mean cognitive scores and standard errors at each follow-up assessment (about two years apart) by migraine status

Table 3? presents the results from age and multivariable adjusted longitudinal analyses. All of the interaction terms between migraine categories and time were close to the null and non-significant, providing no evidence of differences in rates of cognitive decline for those with no history of migraine compared with women who experienced migraine with or without aura or had a past history of migraine.

View this table:View PopupView InlineTable 3 Age and multivariate adjusted associations between rate of change in cognitive function by migraine status

The risk of substantial cognitive decline in women who experienced migraine with or without aura or had a past history of migraine was not increased (table 4?) compared with those with no history of migraine. In secondary analyses, we found no evidence of significant effect modification by history of hypertension, baseline score, perceived change in memory, or educational attainment. Statistically significant effect modification by age (less than or higher than the median of 75 years) was observed for the telephone interview for cognitive status (P=0.02). This result seemed to be driven by a greater rate of cognitive decline at the third time point among those with a past history of migraine who were older than the median age (ß coefficient -0.85) compared with those who were younger than the median age (ß coefficient 0.07). No statistically significant effect modification by median age was observed for the other cognitive outcomes. Statistically significant effect modification by cardiovascular disease was observed on the category fluency test (P=0.01). Among women who experienced migraine with aura, those who also experienced a cardiovascular event had greater rates of decline (ß coefficient -2.76 at the second time point and ß coefficient -2.43 at the third time point) than those who did not experience a cardiovascular event (ß coefficient -0.50 at the second time point and ß coefficient 0.70 at the third time point). No statistically significant effect modification by cardiovascular event was observed for the other cognitive outcomes.

View this table:View PopupView InlineTable 4 Multivariable adjusted* relative risk of substantial cognitive decline† by migraine status

DiscussionResults from this large, prospective cohort study among women provide no evidence that migraine is associated with greater rates of cognitive decline when compared with women without a history of migraine. This result did not differ according to migraine aura status or past history of migraine. We also did not observe meaningful effect modification of this lack of association for most of our migraine groups. We did observe some effect modification by age for those with a past history of migraine, suggesting that older women had faster rates of decline on the telephone interview for cognitive status than younger women. Additionally, among women with migraine with aura, those who experienced a cardiovascular event had faster rates of decline on the category fluency test than those without a cardiovascular event.

Comparisons with other studiesCross sectional studies have shown mixed results on the association between migraine status and lower cognitive functioning. Some studies have shown no differences among those with and without migraine,9 10 11 12 13 14 whereas others have shown evidence of worse cognitive functioning among those who experience migraine.15 16 17 18 19 However, owing to their cross sectional nature, none of these studies could examine the association between migraine and cognitive decline, a more meaningful outcome than cognition at any single time point.

The prospective studies on the association between migraine and cognitive decline among adults have not found greater rates of cognitive decline among people with migraine compared with people without migraine.20 21 22 The Baltimore cohort of the National Institute of Health Mental Health Epidemiology Catchment Area study found that although adults with migraine overall and those with migraine with aura who were aged 50 or older at baseline showed lower baseline scores on tests of delayed and immediate recall, they actually showed less decline in those tests over time compared with people aged 50 or older at baseline who did not have migraines. Rates of decline did not differ between people aged less than 50 at baseline with migraine and those without.21 The Maastricht Ageing Study did not find differences between people with and without migraine in decline on the mini-mental state examination, immediate and delayed recall of tests with 15 word lists, or other tests for simple and complex speed.20 Finally, the Epidemiology of Vascular Ageing Study found no evidence of greater cognitive decline among people who experienced migraine on any of a wide variety of cognitive tests. For the Wechsler adult intelligence scale-revised, there was evidence that people who experienced migraine declined less over time than those with no history of severe headache. There was also little evidence that the presence of white matter hyperintensities or brain infarction modified the association between migraine and cognitive decline.22

In the present study we also found little evidence that cognitive function among those who experienced migraine declined more than those without a history of migraine. Since this study was much larger than previous studies, we were able to examine the impact of migraine with aura, migraine without aura, and past history of migraine. Examining the association between migraine and cognitive decline by aura status is important because migraine with aura has been linked to more deleterious effects on the brain, particularly ischaemic vascular changes.4 Additionally, we were able to carry out other subgroup analyses by age or the presence of cardiovascular disease, which could not be done in previous studies.

Strengths and limitations of the studyThe strengths of this study include its large prospective design, standardised assessment of migraine status, information on migraine with and without aura, and the availability of validated cognitive function measures26 34 at multiple time points, which allowed us to examine change in cognitive function over time.

Several limitations should be considered when interpreting our results. Our cohort was composed of women aged 65 and older, mostly white, female health professionals, which might limit the ability to generalise our results to other cohorts. However, we do not believe that the biological mechanisms linking migraine with cognitive decline would be different in our cohort compared with other populations. Since migraine was self reported, women may incorrectly report their migraine status. However, all participants were health professionals who are known to report health information accurately. Furthermore, validation studies have shown good agreement between self reported migraine and the International Classification of Headache Disorders I and II.28 29 Although our study was not able to examine the impact of migraine on cognitive decline among men, potential effects of migraine on subsequent conditions, such as cognitive decline, are of particular interest in women because of the longer life expectancy among women.

Overall we did not observe a large amount of cognitive decline among our participants, possibly because of the age of the participants and the short follow-up period. Additionally, although the telephone interview for cognitive status does not seem to show a ceiling effect as strong as that seen for the mini-mental state examination,35 it is possible that the women in our cohort may not have been declining enough for our “global score” to detect changes in cognitive status. However, other studies using this cohort have detected risk factors for cognitive decline, such as type 2 diabetes, longer duration of diabetes, educational status, and income,33 36 which suggests that our study period was long enough to observe a meaningful cognitive decline. Given that the Baltimore Epidemiology Catchment Area Study had a much longer period of follow-up than our study (1993 to 2005) and also did not find evidence of worse decline among people who experience migraine further helps to ameliorate concerns that the women in our study may not have been followed for long enough to detect decline. Cognitive assessment was done several years after the start of the trial, so there could be possible bias due to loss to follow-up if women who experienced migraine were more likely to be lost to follow-up before the start of cognitive testing and had lower cognitive scores than women remaining in the cohort. However, only a small percentage of women (1.5%) were lost to follow-up between baseline and cognitive assessment27 so any bias would be relatively small. We did have some loss to follow-up over the course of our study, but the percentage of women lost to follow-up in the migraine categories was similar to that among the women with no history of migraine. Finally, although this study is larger than many previous studies, we may not have had enough participants in our migraine categories to detect small differences in cognitive decline among our groups.

Clinical implicationsResults of this study do not suggest that women with migraine with or without aura or with a past history of migraine have an increased risk of cognitive decline. Based on the results from this study and from previous studies using a wide variety of cognitive tests and various approaches to assessing migraine status, migraine does not seem to lead to functional impairments of the brain. Based on these results, patients with migraine and their treating doctors should be reassured that migraine may not have long term consequences on cognitive function. We did observe greater rates of cognitive decline in the subgroup of women who experience migraine with aura and had a history of cardiovascular disease compared with women who experience migraine with aura and did not have history of cardiovascular disease. However, because of the multiple subgroup analyses, this result should be interpreted with caution and further research is warranted to determine whether the interplay of migraine and cardiovascular disease leads to faster cognitive decline, and whether preventive strategies can be applied.

Unanswered questions and future researchMigraine is a complex disease and has been linked with various comorbidities, such as stroke and other vascular disease events. However, the mechanisms underlying these associations are not fully understood. Evaluating the interrelations between migraine and other diseases remains an important research target to establish strategies to positively influence the course of disease and to optimise treatment strategies.

What is already known on this topicSeveral cross sectional studies and a few prospective cohort studies have examined the association between migraine and cognition

Many of these studies were, however, small or unable to stratify the association by migraine aura status

What this study addsResults from this large, prospective cohort study among women provide no evidence that women who experience migraine with aura or migraine without aura have greater rates of cognitive decline than women without a history of migraine

NotesCite this as: BMJ 2012;345:e5027

FootnotesContributors: PMR designed the study and analysed and interpreted the data. JHK analysed the data. JEB designed the study, interpreted the data, and obtained funding. MMG designed the study and interpreted the data. FG conceived and designed the study, analysed and interpreted the data, obtained funding, and supervised the study. TK conceived and designed the study, analysed and interpreted the data, obtained funding, and supervised the study. All authors critically revised the manuscript for important intellectual content. FG and TK contributed equally to the study. The sponsor of the study had no role in the study design, data collection, data analysis, data interpretation, writing of the report, or in the decision to submit the paper. All authors had full access to all of the data in the study and can take responsibility for the integrity of the data and accuracy of the data analysis. PMR and TK act as guarantors for this study.

Funding: The Women’s Health Study is supported by grants from the National Heart, Lung, and Blood Institute (HL-043851, HL-080467, HL-099355) and the National Cancer Institute (CA-47988). The cognitive substudy of the Women’s Health Study was supported by a grant from the National Institute of Aging (AG-15933). PMR was supported by a training grant from the National Institute of Aging (AG-00158). TK is supported in part by a Chair of Excellence grant of the French National Research Agency (Agence Nationale de la Recherche, R09177DD).

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: that this study has been funded by the US National Institutes of Health; PMR was funded by a training grant from the US National Institute of Aging and has received funding from the Rose Traveling Fellowship Program in Chronic Disease Epidemiology and Biostatistics from the Harvard School of Public Health and received a travel grant from the Department of Epidemiology at the Harvard School of Public Health; JHK has received investigator initiated funding from the US National Institutes of Health, American Heart Association, and Wyeth (now Pfizer) Pharmaceuticals; JEB has received investigator initiated research funding and support from the US National Institutes of Health and Dow Corning, and research support for pills or packaging from Bayer HealthCare and the Natural Source Vitamin E Association; MMG receives or has received research support from the US National Institutes of Health, the Robert Wood Johnson Foundation Health and Society Scholars Program, the MacArthur Foundation Network on Socioeconomic Status and Health, the Milton Fund for Harvard University Junior Faculty, and the American Heart Association; FG has received investigator initiated funding from the US National Institutes of Health and the California Strawberry Council; TK has received investigator initiated research funding from the French National Research Agency, the US National Institutes of Health, Merck, the Migraine Research Foundation, and the Parkinson’s Disease Foundation, and honorariums from the BMJ for editorial services, Allergan, the American Academy of Neurology, Merck for educational lectures, and MAP Pharmaceutical for contributing to a scientific advisory panel; and no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: This study was approved by the institutional review board of Brigham and Women’s Hospital, Boston, MA (protocol No 1999P002903). All participants provided written informed consent to participate in the Women’s Health Study.

Data sharing: No additional data available.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

References?Bigal ME, Lipton RB. The epidemiology, burden, and comorbidities of migraine. Neurol Clin2009;27:321-34.OpenUrlCrossRefMedlineWeb of Science?Schurks M, Rist PM, Bigal ME, Buring JE, Lipton RB, Kurth T. Migraine and cardiovascular disease: systematic review and meta-analysis. BMJ2009;339:b3914.OpenUrlFREE Full Text?Kruit MC, van Buchem MA, Hofman PA, Bakkers JT, Terwindt GM, Ferrari MD, et al. Migraine as a risk factor for subclinical brain lesions. JAMA2004;291:427-34.OpenUrlCrossRefMedlineWeb of Science?Kurth T, Mohamed S, Maillard P, Zhu YC, Chabriat H, Mazoyer B, et al. Headache, migraine, and structural brain lesions and function: the population-based Epidemiology of Vascular Ageing-MRI study. BMJ2011;342:c7357.OpenUrlFREE Full Text?Scher AI, Gudmundsson LS, Sigurdsson S, Ghambaryan A, Aspelund T, Eiriksdottir G, et al. Migraine headache in middle age and late-life brain infarcts. JAMA2009;301:2563-70.OpenUrlCrossRefMedline?Vermeer SE, Prins ND, den Heijer T, Hofman A, Koudstaal PJ, Breteler MM. Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med2003;348:1215-22.OpenUrlCrossRefMedlineWeb of Science?Lipton RB, Pan J. Is migraine a progressive brain disease? JAMA2004;291:493-4.OpenUrlCrossRefMedline?Ott A, Breteler MM, van Harskamp F, Stijnen T, Hofman A. Incidence and risk of dementia. The Rotterdam study. Am J Epidemiol1998;147:574-80.OpenUrlFREE Full Text?Gaist D, Pedersen L, Madsen C, Tsiropoulos I, Bak S, Sindrup S, et al. Long-term effects of migraine on cognitive function: a population-based study of Danish twins. Neurology2005;64:600-7.OpenUrlFREE Full Text?Haverkamp F, Honscheid A, Muller-Sinik K. Cognitive development in children with migraine and their healthy unaffected siblings. Headache2002;42:776-9.OpenUrlCrossRefMedlineWeb of Science?Jelicic M, van Boxtel MP, Houx PJ, Jolles J. Does migraine headache affect cognitive function in the elderly? Report from the Maastricht Aging Study (MAAS). Headache2000;40:715-9.OpenUrlCrossRefMedlineWeb of Science?Leijdekkers ML, Passchier J, Goudswaard P, Menges LJ, Orlebeke JF. Migraine patients cognitively impaired? Headache1990;30:352-8.OpenUrlCrossRefMedlineWeb of Science?Palmer JE, Chronicle EP. Cognitive processing in migraine: a failure to find facilitation in patients with aura. Cephalalgia1998;18:125-32.OpenUrlFREE Full Text?Pearson AJ, Chronicle EP, Maylor EA, Bruce LA. Cognitive function is not impaired in people with a long history of migraine: a blinded study. Cephalalgia2006;26:74-80.OpenUrlFREE Full Text?Calandre EP, Bembibre J, Arnedo ML, Becerra D. Cognitive disturbances and regional cerebral blood flow abnormalities in migraine patients: their relationship with the clinical manifestations of the illness. Cephalalgia2002;22:291-302.OpenUrlFREE Full Text?Hooker WD, Raskin NH. Neuropsychologic alterations in classic and common migraine. Arch Neurol1986;43:709-12.OpenUrlCrossRefMedlineWeb of Science?Le Pira F, Zappala G, Giuffrida S, Lo Bartolo ML, Reggio E, Morana R, et al. Memory disturbances in migraine with and without aura: a strategy problem? Cephalalgia2000;20:475-8.OpenUrlFREE Full Text?Mulder EJ, Linssen WH, Passchier J, Orlebeke JF, de Geus EJ. Interictal and postictal cognitive changes in migraine. Cephalalgia1999;19:557-65; discussion 541.OpenUrlFREE Full Text?Zeitlin C, Oddy M. Cognitive impairment in patients with severe migraine. Br J Clin Psychol1984;23(Pt 1):27-35.OpenUrlCrossRefMedlineWeb of Science?Baars MA, van Boxtel MP, Jolles J. Migraine does not affect cognitive decline: results from the Maastricht Aging Study. Headache2010;50:176-84.OpenUrlCrossRefMedlineWeb of Science?Kalaydjian A, Zandi PP, Swartz KL, Eaton WW, Lyketsos C. How migraines impact cognitive function: findings from the Baltimore ECA. Neurology2007;68:1417-24.OpenUrlFREE Full Text?Rist PM, Dufouil C, Glymour MM, Tzourio C, Kurth T. Migraine and cognitive decline in the population-based EVA study. Cephalalgia2011;31:1291-300.OpenUrlFREE Full Text?Lee IM, Cook NR, Gaziano JM, Gordon D, Ridker PM, Manson JE, et al. Vitamin E in the primary prevention of cardiovascular disease and cancer: the Women’s Health Study: a randomized controlled trial. JAMA2005;294:56-65.OpenUrlCrossRefMedlineWeb of Science?Rexrode KM, Lee IM, Cook NR, Hennekens CH, Buring JE. Baseline characteristics of participants in the Women’s Health Study. J Womens Health Gend Based Med2000;9:19-27.OpenUrlCrossRefMedlineWeb of Science?Ridker PM, Cook NR, Lee IM, Gordon D, Gaziano JM, Manson JE, et al. A randomized trial of low-dose aspirin in the primary prevention of cardiovascular disease in women. N Engl J Med2005;352:1293-304.OpenUrlCrossRefMedlineWeb of Science?Kang JH, Cook N, Manson J, Buring JE, Grodstein F. A randomized trial of vitamin E supplementation and cognitive function in women. Arch Intern Med2006;166:2462-8.OpenUrlCrossRefMedline?Kang JH, Cook N, Manson J, Buring JE, Grodstein F. Low dose aspirin and cognitive function in the Women’s Health Study cognitive cohort. BMJ2007;334:987.OpenUrlFREE Full Text?Kurth T, Gaziano JM, Cook NR, Logroscino G, Diener HC, Buring JE. Migraine and risk of cardiovascular disease in women. JAMA2006;296:283-91.OpenUrlCrossRefMedline?Schurks M, Buring JE, Kurth T. Agreement of self-reported migraine with ICHD-II criteria in the Women’s Health Study. Cephalalgia2009;29:1086-90.OpenUrlFREE Full Text?Folstein MF, Folstein SE, McHugh PR. “Mini-mental state.” A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res1975;12:189-98.OpenUrlCrossRefMedlineWeb of Science?Brandt J, Spencer M, Folstein MF. The telephone interview for cognitive status. Neuropsychiatry Neuropsychol Behav Neurol1988;1:111-7.OpenUrl?Albert M, Smith LA, Scherr PA, Taylor JO, Evans DA, Funkenstein HH. Use of brief cognitive tests to identify individuals in the community with clinically diagnosed Alzheimer’s disease. Int J Neurosci1991;57:167-78.OpenUrlMedlineWeb of Science?Okereke OI, Kang JH, Cook NR, Gaziano JM, Manson JE, Buring JE, Grodstein F. Type 2 diabetes mellitus and cognitive decline in two large cohorts of community-dwelling older adults. J Am Geriatr Soc2008;56:1028-36.OpenUrlCrossRefMedlineWeb of Science?Weuve J, Ridker PM, Cook NR, Buring JE, Grodstein F. High-sensitivity C-reactive protein and cognitive function in older women. Epidemiology2006;17:183-9.OpenUrlCrossRefMedlineWeb of Science?De Jager CA, Budge MM, Clarke R. Utility of TICS-M for the assessment of cognitive function in older adults. Int J Geriatr Psychiatry2003;18:318-24.OpenUrlCrossRefMedlineWeb of Science?Lee S, Buring JE, Cook NR, Grodstein F. 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