The Canadian Mother-Child Cohort Active Surveillance Initiative (CAMCCO): Comparisons between Quebec, Manitoba, Saskatchewan, and Alberta.

BACKGROUND: Given that pregnant women taking medications are excluded from clinical trials, real-world evidence is essential. We aimed to build a Canadian Mother-Child Cohort Active Surveillance Initiative (CAMCCO) and compare frequency of prematurity, low-birth-weight (LBW), major malformations, multiplicity, and gestational medication use across four provinces. METHODS: CAMCCO is a collaborative research infrastructure that uses real-world data from large provincial health care databases in Canada; developed with standardized methods to similarly construct population-based pregnancy/child cohorts with longitudinal follow-up by linking administrative/hospital/birth databases. CAMCCO also includes a common repository to i) share algorithms and case definitions based on diagnostic and procedural codes for research/training purpose, and ii) download aggregate data relevant to primary care providers, researchers, and decision makers. For this study, data from Quebec (1998-2015), Manitoba (1995-2019), Saskatchewan (1996-2020), and Alberta (2005-2018) are compared (Chi-square tests, p-values), and trends are calculated using Cochran-Armitage trend tests. RESULTS: Almost two-thirds (61%) of women took medications during pregnancy, mostly antibiotics (26%), asthma drugs (8%), and antidepressants (4%). Differences in the prevalence of prematurity (5.9-6.8%), LBW (4.0-5.2%), and multiplicity (1.0-2.5%) were statistically significant between provinces (p<0.001). Frequency of major malformations increased over time in Quebec (7-11%; p<0.001), Saskatchewan (5-11%; p<0.001), and Alberta (from 7-8%; p<0.001), and decreased in Manitoba (5-3%; p<0.001). Cardiovascular and musculoskeletal malformations were the most prevalent. INTERPRETATION: Medications are often used among Canadian pregnancies but adverse pregnancy outcomes vary across provinces. Digitized health data may help researchers and care providers understand the risk-benefit ratios related to gestational medication use, as well as province-specific trends.

Association between chronic obstructive pulmonary disease, smoking, and interstitial lung disease onset in rheumatoid arthritis.

OBJECTIVES: In rheumatoid arthritis (RA), respiratory manifestations include chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD). We assessed whether baseline COPD and smoking were associated with RA-ILD onset. METHODS: We identified new-onset ILD in incident RA subjects within the MarketScan Commercial Claims database, using physician and/or hospitalisation diagnostic codes. Smoking data (current, past, never) were available for a subset via a health questionnaire. Kaplan-Meier analyses assessed time to ILD onset, stratified by prior COPD and smoking. Multivariate Cox regression models were adjusted for age, sex, and (in the subset) smoking. Sensitivity analyses adjusted for past RA drugs. RESULTS: Among 373,940 new RA subjects, 6343 (1.7%) developed ILD (8.1 events per 1000 person-year, 95% CI 7.9, 8.3). ILD was more common among subjects with baseline COPD. Adjusting for age and sex, the hazard ratio (HR) between baseline COPD and incident ILD was 2.15, 95% CI 1.93, 2.39. We could not establish a clear relationship between current smoking and ILD; in the subset with smoking data, the HR point estimate for COPD was similar but the 95% CI was wider (due to fewer subjects) and included the null value. Adjusting for baseline RA drugs did not change results. CONCLUSIONS: Pre-existing COPD in incident RA subjects was associated with higher risk of future ILD. While a trend persisted after adjusting for smoking, we were limited by reduced sample size. Our study highlights the importance of ongoing assessments of potentially complicated relationships between smoking, COPD, and other factors in RA-associated ILD.

New evidence for concern over the risk of birth defects from medications for nausea and vomitting of pregnancy.

OBJECTIVES: The aim of the study was to quantify the risk of major congenital malformations (MCM) associated with first-trimester exposure to antiemetics. STUDY DESIGN AND SETTING: Using the Quebec Pregnancy Cohort (1998-2015), first-trimester doxylamine-pyridoxine, metoclopramide, and ondansetron exposures were assessed for their association with MCM. Generalized estimating equations were used to estimate odds ratios (OR), adjusting for potential confounders (aOR). RESULTS: Within 17 years of follow-up, the prevalence of antiemetic use during pregnancy increased by 76%. Within our cohort, 45,623 pregnancies were exposed to doxylamine-pyridoxine, 958 to metoclopramide, and 31 to ondansetron. Doxylamine-pyridoxine and metoclopramide use were associated with an increased risk of overall MCM (aOR 1.07, 95% confidence interval [CI]: 1.03-1.11; 3,945 exposed cases) and (aOR 1.27, 95% CI: 1.03-1.57; 105 exposed cases), respectively. Doxylamine-pyridoxine exposure was associated with increased risks of spina bifida (aOR 1.87, 95% CI: 1.11-3.14; 23 exposed cases), nervous system (aOR 1.25, 95% CI: 1.06-1.47; 225 exposed cases), and musculoskeletal system defects (aOR 1.08, 95% CI: 1.02-1.14; 1,735 exposed cases). Metoclopramide exposure was associated with an increased risk of genital organ defects (aOR 2.26, 95% CI: 1.14-4.48; 10 exposed cases). No statistically significant association was found between ondansetron exposure and the risk of overall MCM. CONCLUSION: First-trimester doxylamine-pyridoxine and metoclopramide exposure was associated with a significantly increased risk of overall and specific MCM.

Identifying Rheumatoid Arthritis Cases within the Quebec Health Administrative Database.

OBJECTIVE: Our objective was to calculate rheumatoid arthritis (RA) point prevalence estimates in the CARTaGENE cohort, as well as to estimate the sensitivity and specificity of our ascertainment approach, using physician billing data. We investigated the effects of using varying observation windows in the Régie de l'assurance maladie du Québec (RAMQ) health services administrative databases, alone or in combination with self-reported diagnoses and drugs. METHODS: We studied subjects enrolled in the CARTaGENE cohort, which recruited 19,995 participants from 4 metropolitan regions in Québec from August 2009 to October 2010. A series of Bayesian latent class models were developed to assess the effects of 3 factors: the number of years of billing data, the addition of self-reported information on RA diagnoses and drugs, and the adjustment for misclassification error. RESULTS: The 3-year 2010 point prevalence estimate among cohort members aged 40-69 years, using physician billing plus self-report, adjusting for misclassification error in each source, was 0.9% [95% credible interval (CrI) 0.7-1.2] with RAMQ sensitivity of 84.0% (95% CrI 74.0-93.7) and a specificity of 99.8% (95% CrI 99.6-100.0). Our results show variations in the prevalence point estimates related to all 3 factors investigated. CONCLUSION: Our study illustrates that multiple data sources identify more RA cases and thus a higher prevalence estimate. RA point prevalence estimates using billing data are lower if fewer years of data are used.