Proton Pump Inhibitor Use Is Not Strongly Associated With SARS-CoV-2 Related Outcomes: A Nationwide Study and Meta-analysis.

BACKGROUND & AIMS: Proton pump inhibitor (PPI) use has been associated with increased risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severe outcomes. However, meta-analyses show unclear results, leading to uncertainty regarding the safety of PPI use during the ongoing coronavirus disease 2019 (COVID-19) pandemic. METHODS: We conducted a nationwide observational study including all SARS-CoV-2 cases (n = 83,224) in Denmark as of December 1, 2020. The association of current PPI use with risk of infection was examined in a case-control design. We investigated the risk of severe outcomes, including mechanical ventilation, intensive care unit admission, or death, in current PPI users (n = 4473) compared with never users. Propensity score matching was applied to control for confounding. Finally, we performed an updated meta-analysis on risk of SARS-CoV-2 infection and COVID-19 mortality attributable to PPI use. RESULTS: Current PPI use was associated with increased risk of infection; adjusted odds ratio, 1.08 (95% confidence interval [CI], 1.03-1.13). Among SARS-CoV-2 cases, PPI use was associated with increased risk of hospital admission; adjusted relative risk, 1.13 (1.03-1.24), but not with other severe outcomes. The updated meta-analysis showed no association between PPI use and risk of infection or mortality; pooled odds ratio, 1.00 (95% CI, 0.75-1.32) and relative risk, 1.33 (95% CI, 0.71-2.48). CONCLUSIONS: Current PPI use may be associated with an increased risk of SARS-CoV-2 infection and hospital admission, but these results with minimally elevated estimates are most likely subject to residual confounding. No association was found for severe outcomes. The results from the meta-analysis indicated no impact of current PPI use on COVID-19 outcomes.

Characteristics and predictors of hospitalization and death in the first 11 122 cases with a positive RT-PCR test for SARS-CoV-2 in Denmark: a nationwide cohort.

BACKGROUND: Population-level knowledge on individuals at high risk of severe and fatal coronavirus disease 2019 (COVID-19) is urgently needed to inform targeted protection strategies in the general population. METHODS: We examined characteristics and predictors of hospitalization and death in a nationwide cohort of all Danish individuals tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 27 February 2020 until 19 May 2020. RESULTS: We identified 11 122 SARS-CoV-2 polymerase chain reaction-positive cases of whom 80% were community-managed and 20% were hospitalized. Thirty-day all-cause mortality was 5.2%. Age was strongly associated with fatal disease {odds ratio [OR] 15 [95% confidence interval (CI): 9-26] for 70-79 years, increasing to OR 90 (95% CI: 50-162) for ≥90 years, when compared with cases aged 50-59 years and adjusted for sex and number of co-morbidities}. Similarly, the number of co-morbidities was associated with fatal disease [OR 5.2 (95% CI: 3.4-8.0), for cases with at least four co-morbidities vs no co-morbidities] and 79% of fatal cases had at least two co-morbidities. Most major chronic diseases were associated with hospitalization, with ORs ranging from 1.3-1.4 (e.g. stroke, ischaemic heart disease) to 2.6-3.4 (e.g. heart failure, hospital-diagnosed kidney disease, organ transplantation) and with mortality with ORs ranging from 1.1-1.3 (e.g. ischaemic heart disease, hypertension) to 2.5-3.2 (e.g. major psychiatric disorder, organ transplantation). In the absence of co-morbidities, mortality was <5% in persons aged ≤80 years. CONCLUSIONS: In this nationwide population-based COVID-19 study, increasing age and multimorbidity were strongly associated with hospitalization and death. In the absence of co-morbidities, the mortality was, however, <5% until the age of 80 years.

Existing Data Sources in Clinical Epidemiology: The Danish COVID-19 Cohort.

BACKGROUND: To facilitate research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a prospective cohort of all Danish residents tested for SARS-CoV-2 in Denmark is established. DATA STRUCTURE: All Danish residents tested by reverse transcriptase polymerase chain reactions (RT-PCR) for SARS-CoV-2 in Denmark are included. The cohort is identified using the Danish Microbiology Database. Individual-level record linkage between administrative and health-care registries is facilitated by the Danish Civil Registration System. Information on outcomes related to SARS-CoV-2 infection includes hospital admission, intensive care unit admission, mechanical ventilation, and death and is retrieved from the five administrative Danish regions, the Danish National Patient Registry, and the Danish Register of Causes of Death. The Patient Registry further provides a complete hospital contact history of somatic and psychiatric conditions and procedures. Data on all prescriptions filled at community pharmacies are available from the Danish National Prescription Registry. Health-care authorization status is obtained from the Danish Register of Healthcare Professionals. Finally, selected laboratory values are obtained from the Register of Laboratory Results for Research. The cohort is governed by a steering committee with representatives from the Danish Medicines Agency, Statens Serum Institut, the Danish Health Authority, the Danish Health Data Authority, Danish Patients, the Faculties of Health Sciences at the Danish universities, and Danish regions. The steering committee welcomes suggestions for research studies and collaborations. Research proposals will be prioritized based on timeliness and potential clinical and public health implications. All research protocols assessing specific hypotheses for medicines will be made publicly available using the European Union electronic Register of Post-Authorisation Studies. CONCLUSION: The Danish COVID-19 cohort includes all Danish residents with an RT-PCR test for SARS-CoV-2. Through individual-level linkage with existing Danish health and administrative registries, this is a valuable data source for epidemiological research on SARS-CoV-2.