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Background Nonsteroidal anti-inflammatory drugs (NSAIDs) have been discouraged for the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, fearing that they could increase the risk of infection or the severity of SARS-CoV-2. Methods Original studies providing information on exposure to NSAIDs and coronavirus disease 2019 (COVID-19) outcomes were retrieved and were included in a descriptive analysis and a meta-analysis with Cochrane Revue Manager (REVMAN 5.4), using inverse variance odds ratio (OR) with random- or fixed-effects models. Results Of 92,853 papers mentioning COVID-19, 266 mentioned NSAIDs and 61 mentioned ibuprofen; 19 papers had analysable data. Three papers described NSAID exposure and the risk of SARS-CoV-2 positivity, five papers described the risk of hospital admission in positive patients, 10 papers described death, and six papers described severe composite outcomes. Five papers studied exposure to ibuprofen and death. Using random-effects models, there was no excess risk of SARS-CoV-2 positivity (OR 0.86, 95% confidence interval [CI] 0.71–1.05). In SARS-CoV-2-positive patients, exposure to NSAIDs was not associated with excess risk of hospital admission (OR 0.90, 95% CI 0.80–1.17), death (OR 0.88, 95% CI 0.80–0.98), or severe outcomes (OR 1.14, 95% CI 0.90–1.44). With ibuprofen, there was no increased risk of death (OR 0.94, 95% CI 0.78–1.13). Using a fixed-effect model did not modify the results, nor did the sensitivity analyses. Conclusion The theoretical risks of NSAIDs or ibuprofen in SARS-CoV-2 infection are not confirmed by observational data. Supplementary Information The online version contains supplementary material available at 10.1007/s40264-021-01089-5.

Purpose: Heart failure (HF) is a common, serious, and still poorly known illness, which might benefit from studies in claims databases. However, to provide reliable estimates, HF patients must be adequately identified. This validation study aimed to estimate the diagnostic accuracy of the International Classification of Diseases, Tenth Revision (ICD-10) codes I50.x, heart failure, in the French hospital discharge diagnoses database.Methods: This study was performed in two university hospitals, comparing recorded discharge diagnoses and electronic health records (EHRs). Patients with discharge ICD-10 codes 150.x were randomly selected. Their EHRs were reviewed to classify HF diagnosis as definite, potential, or miscoded based on the European Society of Cardiology diagnostic criteria, from which the codes' positive predictive value (PPV) was computed.To estimate sensitivity, patients with an EHR HF diagnosis were identified, and the presence of the I50.x codes was sought for in the hospital discharge database.Results: Two hundred possible cases of HF were selected from the hospital discharge database, and 229 patients with an HF diagnosis were identified from the EHR. The PPV of I50.x codes was 60.5% (95% CI, 53.7%-67.3%) for definite HF and 88.0% (95% CI, 83.5%-92.5%) for definite/potential HF. The sensitivity of I50.x codes was 64.2% (95% CI, 58.0%-70.4%). PPV results were similar in both hospitals; sensitivity depended on the source of EHR: Departments of cardiology had a higher sensitivity than had nonspecialized wards.Conclusions: Diagnosis codes I50.x in discharge summary databases accurately identify patients with HF but fail to capture some of them.