ABSTRACT
OBJECTIVE: Real-world data on cardiopulmonary events among pregnant women receiving ß-agonist therapy are scarce. In the present study, we aimed to examine the absolute and relative risks of maternal cardiopulmonary events associated with the use of ß-agonist ritodrine during pregnancy. METHODS: By linking Taiwan's National Birth Certificate Application Database with National Health Insurance data, 1 831 564 pregnancies at ≥20 weeks' gestation were identified. Age-standardized incidence rates of cardiopulmonary events among pregnant women exposed to ritodrine were estimated. Nested case-control analyses were conducted to evaluate the relative risk of pulmonary edema, heart failure, and arrhythmia associated with prior ritodrine use. Cases and controls were matched using risk set sampling, and adjusted odds ratios were estimated using conditional logistic regression models. RESULTS: A total of 189 cases of pulmonary edema, 126 cases of heart failure, and 162 cases of arrhythmia were identified (corresponding age-standardized incidence rates: 20.90, 8.35, and 16.63 per 100 000 among pregnant women only exposed to oral ritodrine; 91.28, 36.01, and 14.61 per 100 000 among those ever exposed to intravenous ritodrine). Exposure to oral ritodrine was associated with a lower increased risk of pulmonary edema (aOR 1.76; 95% CI: 1.12-2.76) and arrhythmia (2.21; 1.47-3.32) whereas exposure to ritodrine injection was associated with a significantly higher risk of pulmonary edema (10.56; 6.39-17.45), arrhythmia (4.15; 1.99-8.64), and heart failure (5.58; 2.27-13.74). CONCLUSIONS: Pregnant women receiving intravenous ritodrine therapy had higher cardiopulmonary risks and should be intensively monitored. While the relative risk associated with oral ritodrine is not pronounced, it should be used judiciously among pregnant women as well.
ABSTRACT
Purpose: Development and evaluation of a drug-safety signal detection system integrating data-mining tools in longitudinal data is essential. This study aimed to construct a new triage system using longitudinal data for drug-safety signal detection, integrating data-mining tools, and evaluate adaptability of such system. Patients and Methods: Based on relevant guidelines and structural frameworks in Taiwan's pharmacovigilance system, we constructed a triage system integrating sequence symmetry analysis (SSA) and tree-based scan statistics (TreeScan) as data-mining tools for detecting safety signals. We conducted an exploratory analysis utilizing Taiwan's National Health Insurance Database and selecting two drug classes (sodium-glucose co-transporter-2 inhibitors (SGLT2i) and non-fluorinated quinolones (NFQ)) as chronic and episodic treatment respectively, as examples to test feasibility of the system. Results: Under the proposed system, either cohort-based or self-controlled mining with SSA and TreeScan was selected, based on whether the screened drug had an appropriate comparator. All detected alerts were further classified as known adverse drug reactions (ADRs), events related to other causes or potential signals from the triage algorithm, building on existing drug labels and clinical judgement. Exploratory analysis revealed greater numbers of signals for NFQ with a relatively low proportion of known ADRs; most were related to indication, patient characteristics or bias. No safety signals were found. By contrast, most SGLT2i signals were known ADRs or events related to patient characteristics. Four were potential signals warranting further investigation. Conclusion: The proposed system facilitated active and systematic screening to detect and classify potential safety signals. Countries with real-world longitudinal data could adopt it to streamline drug-safety surveillance.
ABSTRACT
To investigate associations between isoniazid for latent tuberculosis and risk of severe hepatitis, affecting patients with rheumatoid arthritis or ankylosing spondylitis whose treatment includes tumor necrosis factor inhibitors. Our self-controlled case series study analyzed Taiwan's National Health Insurance Database from 2003 to 2015 to identify RA or AS patients, aged ≥ 20 years, receiving TNF inhibitors and a 9-month single isoniazid treatment. The outcome of interest was hospitalization due to severe hepatitis. We defined risk periods by isoniazid exposure (days): 1-28, 29-56, 57-84, 85-168, 169-252, and 253-280. To compare risk of severe hepatitis in exposed and non-exposed periods, we performed conditional Poisson regressions to generate incidence rate ratios (IRR) and 95% confidence intervals, with adjustment of patients' baseline covariates including age, sex, HBV, HCV and related medication. Of 54,267 RA patients and 137,889 AS patients identified between 2000 and 2015, 11,221 (20.7%) RA and 4,208 (3.1%) AS patients underwent TNFi therapy, with 722 (5%) receiving isoniazid for latent tuberculosis. We identified 31 incident cases (4.3%) of hospitalization due to severe hepatitis. Of these hospitalization events, 5 occurred in the exposed periods, 25 occurred in the INH unexposed periods, and 1 occurred in the pre-exposure period. Compared with non-exposure, the risk of severe hepatitis was higher in exposed periods (incidence rate ratio [IRR]: 5.1, 95% CI: 1.57-16.55), especially 57-84 days (IRR: 17.29, 95% CI: 3.11-96.25) and 85-168 days (IRR:10.55, 95% CI: 1.90-58.51). The INH related fatal hepatotoxicity was not identified in our study. Our findings suggest an association between risk of severe hepatitis and exposure to isoniazid in patients with RA or AS under TNFi therapy, particularly within the exposed period 57-168 days. A close monitoring of liver function is mandatory to minimize the risk, especially within the first 6 months after initiation of 9 months isoniazid.
