Validation of neural tube defects in the full featured--general practice research database

A comparison of infants' birth defects self-reported by mothers with data provided by general practitioners: Data from the Dutch Pregnancy Drug Register

BACKGROUND

Since the presence of a birth defect is often a primary outcome in drug-safety studies among pregnant women, researching the validity of data collection methods is imperative. The aim of this study is to compare self-reported birth defects in infants by mothers with the information provided by general practitioners (GP (singular) or GPs (plural)).

METHODS

Mothers who participated in the Dutch Pregnancy Drug Register reported information about possible birth defects of their infants via questionnaires. GPs were approached to provide information on possible birth defects of the same infants. All reported birth defects by mothers and GPs were blindly coded using the International Classification of Diseases, Tenth Revision (ICD-10) index and EUROCAT-classified as either a minor or major birth defect. Differences in reported birth defects between participants and GPs were assessed.

RESULTS

Participants and GPs (N = 551) reported 67 and 53 birth defects respectively, leading to a total of 120 birth defects among 65 infants. When both the GP and the participant reported a birth defect, 76.9% of these birth defects (N = 60) were coded with an identical ICD-10 code. Information on the absence of a birth defect and the presence of a major birth defect was identically reported by the GP and the mother in almost all cases (98.2%). Of the major birth defects reported by the GP, 67% could be matched with information provided by the participant, for 33% contradicting information was reported.

CONCLUSION

Self-reported questionnaire data on infants' birth defects from mothers yield fairly similar information compared to information obtained through GPs. Future studies should validate the accuracy of self-reported birth defects by mothers more extensively to improve the quality of drug safety studies during pregnancy.

The identification and validity of congenital malformation diagnoses in UK electronic health records: A systematic review

PURPOSE

To describe the methods used to identify and validate congenital malformation diagnoses recorded in UK electronic health records, and the results of validation studies.

METHODS

Medline and Embase were searched for publications between 1987 and 2019 that involved identifying congenital malformations from UK electronic health records using diagnostic codes. The methods and code-lists used to identify congenital malformations, and the methods and results of validations, were examined.

RESULTS

We retrieved 54 eligible studies; 36 identified congenital malformations from primary care data and 18 from secondary care data alone or in combination with birth and/or death records. Identification in secondary care data relied on codes from the 'Q' chapter for congenital malformations in ICD-10. In contrast, studies using primary care data frequently used additional codes outside of the 'P' chapter for congenital malformation diagnoses in Read, although the exact codes used were not always clear. Eight studies validated diagnoses identified in primary care data. The positive predictive value was highest (80%-100%) for congenital malformations overall, major malformations, and heart defects although the validity of the reference standard used was often uncertain. It was lowest for neural tube defects (71%) and developmental hip dysplasia (56%).

CONCLUSIONS

Studies identifying congenital malformations from primary care data provided limited details about the methods used. The few validation studies were limited to diagnoses recorded in primary care. Further assessments of all measures of validity in both data sources and of other malformation subgroups are needed, using robust reference standards and adhering to reporting guidelines.

The Impact of Technology on the Diagnosis of Congenital Malformations

As technology improves and becomes more widely accessible, more subclinical congenital malformations are being detected. Using a cohort of 1,780,156 pregnant women and their offspring nested in the 2000-2013 US Medicaid Analytic eXtract, we contrasted time trends in malformations which do not necessarily present with overt clinical symptoms early in life and are more likely to be diagnosed via imaging (secundum atrial septal defect, patent ductus arteriosus, ventricular septal defect, pulmonary artery anomalies, pulmonary valve stenosis, hydrocephalus) with trends in malformations that are unlikely to escape clinical diagnosis (tetralogy of Fallot, coarctation of the aorta, transposition of the great vessels, hypoplastic left heart syndrome, oral cleft, abdominal wall defect). Logistic regression was used to account for trends in risk factors while assessing the impact of increased screening intensity. Prevalence of the diagnosis of secundum atrial septal defect rose from 2.3‰ in 2000-2001 to 7.5‰ in 2012-2013, of patent ductus arteriosus from 1.9‰ to 4.1‰, and of ventricular septal defect from 3.6‰ to 4.5‰. Trends were not explained by changes in the prevalence of risk factors but were attenuated when accounting for screening tests. The other malformations showed no temporal trends. Findings suggest that increased screening partially explains the observed increase in diagnosis of milder cases of select common malformations.

Identifying pregnancies in insurance claims data: Methods and application to retinoid teratogenic surveillance

PURPOSE

The purpose of the study is to develop an algorithm to identify pregnancies in administrative databases and apply it to assess pregnancy rates and outcomes in women prescribed isotretinoin or tretinoin.

METHODS

Using the 2011 to 2015 Truven Health MarketScan Database, we identified pregnancies, including losses and terminations. In a cohort design, nonpregnant women filling a prescription for isotretinoin or tretinoin were matched to five women without either prescription. Women were followed for 365 days or until conception, medication discontinuation, or enrollment discontinuation ("prescription episode"). Rates of pregnancy, risks of pregnancy losses, and prevalence of infant malformations at birth were assessed by exposure.

RESULTS

We identified 2 179 192 livebirths, 8434 stillbirths, 2521 mixed births, 415 110 spontaneous abortions, 124 556 elective terminations, and 8974 unspecified abortions. There were 86 834 isotretinoin and 973 587 tretinoin episodes, matched to 5 302 105 unexposed women. Pregnancy rates were 3 (isotretinoin), 19 (tretinoin), and 34 (unexposed) per 1000 person-years. Risk of spontaneous pregnancy losses were similar; however, terminations were more common in the isotretinoin-exposed (28% [95% CI: 21%-36%]) than the tretinoin-exposed (10% [95% CI: 9%-11%]) or unexposed pregnancies (6%). Malformations occurred in 4.5% (95% CI: 3.5%-5.6%) of the tretinoin-exposed pregnancies and 4.2% of the unexposed pregnancies (adjusted odds ratio: 1.16 [95% CI: 0.85-1.58]); isotretinoin-exposed births were too few to assess malformations.

CONCLUSIONS

Administrative databases can complement risk evaluation and mitigation strategies (REMS) for known teratogens and contribute to safety surveillance for other medications. Here, isotretinoin-exposed pregnancy rates were low, but existent, and many pregnancies were terminated. Tretinoin exposure was not associated with a meaningfully elevated risk of losses or malformations as compared with unexposed pregnancies.

Improving case ascertainment of congenital anomalies: findings from a prospective birth cohort with detailed primary care record linkage

BACKGROUND

Congenital anomalies (CAs) are a common cause of infant death and disability. We linked children from a large birth cohort to a routine primary care database to detect CA diagnoses from birth to age 5 years. There could be evidence of underreporting by CA registries as they estimate that only 2% of CA registrations occur after age 1 year.

METHODS

CA cases were identified by linking children from a prospective birth cohort to primary care records. CAs were classified according to the European Surveillance of CA guidelines. We calculated rates of CAs by using a bodily system group for children aged 0 to <5 years, together with risk ratios (RRs) with 95% CIs for maternal risk factors.

RESULTS

Routinely collected primary care data increased the ascertainment of children with CAs from 432.9 per 10 000 live births under 1 year to 620.6 per 10 000 live births under 5 years. Consanguinity was a risk factor for Pakistani mothers (multivariable RR 1.87, 95% CI 1.46 to 2.83), and maternal age >34 years was a risk factor for mothers of other ethnicities (multivariable RR 2.19, 95% CI 1.36 to 3.54). Education was associated with a lower risk (multivariable RR 0.78, 95% CI 0.62 to 0.98).

CONCLUSION

98% of UK CA registrations relate to diagnoses made in the first year of life. Our data suggest that this leads to incomplete case ascertainment with a further 30% identified after age 1 year in our study. Risk factors for CAs identified up to age 1 year persist up to 5 years. National registries should consider using routine data linkage to provide more complete case ascertainment after infancy.

Benzodiazepines and risk of death: Results from two large cohort studies in France and UK

Benzodiazepines are widely prescribed for the treatment of anxiety or insomnia, but their impact on mortality is still debated. This study investigated the impact of benzodiazepine use on short term mortality. Exposed-unexposed cohorts were constructed with the Clinical Practice Research Datalink (CPRD) in the UK and with the General Sample of Beneficiaries (EGB) in France. Benzodiazepine incident users were matched to incident users of antidepressants/non-benzodiazepine sedatives and to controls (non-users of antidepressants or anxiolytics/hypnotics) according to age and gender in both sources (and practice for the CPRD only). Survival at one year was studied using Cox regression model. In the CPRD, the final population comprised 94 123 patients per group (57 287 in the EGB). In the CPRD, adjusted HR was 3.73 in benzodiazepine users (95% CI, 3.43-4.06), and 1.61 (1.47-1.76) in antidepressant/non-benzodiazepine users compared to controls. When considering benzodiazepine use as a time-dependent covariate, adjusted HR for current use at 12 months was 1.70 (1.36-2.12). In the EGB, adjusted HR was 1.26 in benzodiazepine users (95% CI, 1.08-1.48), and 1.07 (95% CI, 0.91-1.27) in antidepressant/non-benzodiazepine users. When considering benzodiazepine use as a time-dependent covariate, adjusted HR for current use at 12 months was 1.03 (0.74-1.44). Using two nationally representative databases, we found a significant while moderate increase in all-cause mortality in relation to benzodiazepines, in a population of incident and mostly occasional users. This issue need to be monitored given the extensive use of these drugs.

How accurate is diagnosis of congenital anomalies made by family physicians?

BACKGROUND

Although family physicians have a key role in clinical management of many diseases and in community health, the accuracy of the diagnosis for congenital anomalies by family physicians still needs more investigations. The aim of this study was to assess the accuracy of family physicians in case detection and diagnosis of congenital anomalies in rural areas, northwest of Iran.

METHODS

In a community-based study of 22500 children born between 2004 and 2012, all 172 cases of congenital anomalies diagnosed by family physicians were assessed by a qualified pediatrician in 47 health houses in rural areas of Tabriz District, northwest Iran. A group of 531 children was compared as control subjects.

RESULTS

The overall sensitivity and specificity of family physicians‟ diagnosis for congenital anomalies were estimated 98% (95% Confidence Interval (CI): 95.9 to 100) and 100% (95% CI: 99.3 to 100), respectively. Sensitivity for diagnosis of congenital heart diseases was 97% (95% CI: 93 to 100), and for genitourinary tract, it was 86% (95% CI: 59 to 100). Specificity was estimated 100% for both groups of heart and genitourinary tract anomalies.

CONCLUSION

The performance of family physicians was found accurate enough in the diagnosis of congenital anomalies. Health care system may consider family physician program as an effective approach to detect and clinical management of congenital anomalies.

First trimester exposure to anxiolytic and hypnotic drugs and the risks of major congenital anomalies: a United Kingdom population-based cohort study

Background

Despite their widespread use the effects of taking benzodiazepines and non-benzodiazepine hypnotics during pregnancy on the risk of major congenital anomaly (MCA) are uncertain. The objectives were to estimate absolute and relative risks of MCAs in children exposed to specific anxiolytic and hypnotic drugs taken in the first trimester of pregnancy, compared with children of mothers with depression and/or anxiety but not treated with medication and children of mothers without diagnosed mental illness during pregnancy.

Methods

We identified singleton children born to women aged 15–45 years between 1990 and 2010 from a large United Kingdom primary care database. We calculated absolute risks of MCAs for children with first trimester exposures of different anxiolytic and hypnotic drugs and used logistic regression with a generalised estimating equation to compare risks adjusted for year of childbirth, maternal age, smoking, body mass index, and socioeconomic status.

Results

Overall MCA prevalence was 2.7% in 1,159 children of mothers prescribed diazepam, 2.9% in 379 children with temazepam, 2.5% in 406 children with zopiclone, and 2.7% in 19,193 children whose mothers had diagnosed depression and/or anxiety but no first trimester drug exposures. When compared with 2.7% in 351,785 children with no diagnosed depression/anxiety nor medication use, the adjusted odds ratios were 1.02 (99% confidence interval 0.63–1.64) for diazepam, 1.07 (0.49–2.37) for temazepam, 0.96 (0.42–2.20) for zopiclone and 1.27 (0.43–3.75) for other anxiolytic/hypnotic drugs and 1.01 (0.90–1.14) for un-medicated depression/anxiety. Risks of system-specific MCAs were generally similar in children exposed and not exposed to such medications.

Conclusions

We found no evidence for an increase in MCAs in children exposed to benzodiazepines and non-benzodiazepine hypnotics in the first trimester of pregnancy. These findings suggest that prescription of these drugs during early pregnancy may be safe in terms of MCA risk, but findings from other studies are required before safety can be confirmed.

The Clinical Practice Research Datalink for drug safety in pregnancy research: an overview

Medicine use during pregnancy is common; however the safety of medicine use during pregnancy is largely unknown when a medicine comes to market. Electronic healthcare databases, including the Clinical Practice Research Datalink (CPRD), are increasingly being used for post-marketing surveillance in this field. The CPRD contains anonymised, longitudinal medical records routinely collected in primary care. Using CPRD data it is possible to identify medical records indicative of pregnancy, including pregnancy losses. Data on prescriptions issued can be used to determine maternal exposure and for about 80% of pregnancies it is possible to link the mother's medical record to the medical record of the child. Data in the medical records of the mother and child can then be used to identify adverse pregnancy outcomes, including congenital malformations. This paper describes some of the complexities involved in using CPRD data for pregnancy related research and discusses some of its strengths and limitations.

Challenges of using primary care electronic medical records in the UK to study medications in pregnancy

PURPOSE

This paper aimed to assess the prescription of medications during pregnancy by primary care physicians in the UK.

METHODS

We identified both completed pregnancies and pregnancies losses (ectopic pregnancies, miscarriages, terminations, and stillbirths) in women aged 13-49 years enrolled in The Health Improvement Network (THIN) between 1996 and 2010 following an algorithm with three sequential cycles that searched for Read Code groups in hierarchical order: (1) indicators of conception; (2) delivery or pregnancy loss; and (3) other codes suggestive of pregnancy. Completed pregnancies were linked to liveborn infants by means of the family identification number and date of birth. Prescription of specific drugs during the first trimester and time trends during the last decade were calculated.

RESULTS

A total of 191 000 pregnancies were identified, including 148 544 completed pregnancies and 42 456 (22.2%) pregnancies losses (ectopic pregnancies, miscarriages, terminations, and stillbirths). Of the completed pregnancies, 131670 (88.6%) were successfully linked with the offspring. The most commonly prescribed drugs were antibiotics, antimycotics, asthma/allergy medications, and analgesics. From 1996 to 2010, the proportion of completed pregnancies with at least one prescription during the first trimester increased for antidepressants (1.8% to 4.2%), thyroid hormones (0.7% to 1.6%), and opiods (1.5% to 2.6%), among other drugs.

CONCLUSION

In conclusion, the prescription of several medications by primary care physicians during the first trimester of pregnancy has risen in the UK during the last decade. We discuss how, when important challenges are considered, THIN may be a promising resource to study specific therapies during pregnancy.

Validity of diagnostic coding within the General Practice Research Database: a systematic review

BACKGROUND

The UK-based General Practice Research Database (GPRD) is a valuable source of longitudinal primary care records and is increasingly used for epidemiological research.

AIM

To conduct a systematic review of the literature on accuracy and completeness of diagnostic coding in the GPRD.

DESIGN OF STUDY

Systematic review.

METHOD

Six electronic databases were searched using search terms relating to the GPRD, in association with terms synonymous with validity, accuracy, concordance, and recording. A positive predictive value was calculated for each diagnosis that considered a comparison with a gold standard. Studies were also considered that compared the GPRD with other databases and national statistics.

RESULTS

A total of 49 papers are included in this review. Forty papers conducted validation of a clinical diagnosis in the GPRD. When assessed against a gold standard (validation using GP questionnaire, primary care medical records, or hospital correspondence), most of the diagnoses were accurately recorded in the patient electronic record. Acute conditions were not as well recorded, with positive predictive values lower than 50%. Twelve papers compared prevalence or consultation rates in the GPRD against other primary care databases or national statistics. Generally, there was good agreement between disease prevalence and consultation rates between the GPRD and other datasets; however, rates of diabetes and musculoskeletal conditions were underestimated in the GPRD.

CONCLUSION

Most of the diagnoses coded in the GPRD are well recorded. Researchers using the GPRD may want to consider how well the disease of interest is recorded before planning research, and consider how to optimise the identification of clinical events.

Validation of a national disease recording system for dairy cattle against veterinary practice records

In Sweden, morbidity in dairy cattle is monitored through a national disease recording system. This system gives valuable information for research as well as advisory work and genetic evaluation. Our main objective was to evaluate the completeness in the disease recording system. Farm copies of veterinary records (n=851) from 112 herds, from March 2003 to April 2004, were compared with the information registered in the recording system. The evaluation of completeness was performed at two stages: (i) in the raw data transferred from the Swedish Board of Agriculture (SBA) to the Swedish Dairy Association (for records, cases and diagnostic events) and (ii) in the dairy disease database (DDD) at the Swedish Dairy Association (for diagnostic events). The evaluation was stratified by record type: manual and computerized records from state-employed veterinarians and private veterinarians, respectively. The completeness was high both for records (95-100%) and cases (90-99%) except manual records from private veterinarians (76% for records and 74% for cases). The overall completeness for diagnostic events was 75% in the DDD, with significant differences between record types. For all record types other than manual records from private veterinarians, the majority of diagnostic events lost disappeared after registration in the raw data from the SBA. The reasons for loss found suggest that there is potential for improvement. A multilevel logistic regression analysis showed that the completeness of diagnostic events in the DDD depended on region, diagnosis and veterinary employment. The random effect of veterinarian accounted for 35% of the modeled variation. Future studies are needed to assess how the differential misclassification affect estimates based on the data, and how to account for it.