Author: Khatri, Akshay; Malhotra, Prashant; Izard, Stephanie; Kim, Angela; Oppenheim, Michael; Gautam-Goyal, Pranisha; Chen, Thomas; Doan, Thien-ly; Berlinrut, Ilan; Niknam, Negin; Flannery, Sarah; Hirschwerk, David; Epstein, Marcia; Farber, Bruce
Title: Hospital-Acquired Bloodstream Infections in Patients Hospitalized With Severe Acute Respiratory Syndrome Coronavirus 2 Infection (Coronavirus Disease 2019): Association With Immunosuppressive Therapies Cord-id: 1jki4t5k Document date: 2021_6_30
ID: 1jki4t5k
Snippet: BACKGROUND: Immunosuppressive therapies proposed for Coronavirus disease 2019 (COVID-19) management may predispose to secondary infections. We evaluated the association of immunosuppressive therapies with bloodstream-infections (BSIs) in hospitalized COVID-19 patients. METHODS: This was an institutional review board-approved retrospective, multicenter, cohort study of adults hospitalized with COVID-19 over a 5-month period. We obtained clinical, microbiologic and laboratory data from electronic
Document: BACKGROUND: Immunosuppressive therapies proposed for Coronavirus disease 2019 (COVID-19) management may predispose to secondary infections. We evaluated the association of immunosuppressive therapies with bloodstream-infections (BSIs) in hospitalized COVID-19 patients. METHODS: This was an institutional review board-approved retrospective, multicenter, cohort study of adults hospitalized with COVID-19 over a 5-month period. We obtained clinical, microbiologic and laboratory data from electronic medical records. Propensity-score-matching helped create balanced exposure groups. Demographic characteristics were compared across outcome groups (BSI/no BSI) using two-sample t-test and Chi-Square test for continuous and categorical variables respectively, while immunosuppressive therapy use was compared using McNemar’s test. Conditional logistic regression helped assess the association between immunosuppressive therapies and BSIs. RESULTS: 13,007 patients were originally included, with propensity-score-matching producing a sample of 6,520 patients. 3.74% and 3.97% were diagnosed with clinically significant BSIs in the original and propensity-score-matched populations respectively. COVID-19 patients with BSIs had significantly longer hospitalizations, higher intensive care unit admission and mortality rates compared to those without BSIs. On univariable analysis, combinations of corticosteroids/anakinra [odds-ratio (OR) 2.00, 95% confidence intervals (C.I.) 1.05-3.80, P value.0342] and corticosteroids/tocilizumab [OR 2.13, 95% C.I. 1.16–3.94, P value .0155] were significantly associated with BSIs. On multivariable analysis (adjusting for confounders), combination corticosteroids/tocilizumab were significantly associated with any BSI [OR 1.97, 95% C.I. 1.04–3.73, P value.0386] and with bacterial BSIs [OR 2.13, 95% C.I. 1.12–4.05, p-value 0.0217]. CONCLUSIONS: Combination immunosuppressive therapies were significantly associated with BSI occurrence in COVID-19 patients; their use warrants increased BSI surveillance. Further studies are needed to establish their causative role.
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