biostudies-literatureUnknown3(1)Sahrmann JM<h4>Objective</h4>To use interrupted time-series analyses to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs). We hypothesized that the pandemic would be associated with higher rates of HAIs after adjustment for confounders.<h4>Design</h4>We conducted a cross-sectional study of HAIs in 3 hospitals in Missouri from January 1, 2017, through August 31, 2020, using interrupted time-series analysis with 2 counterfactual scenarios.<h4>Setting</h4>The study was conducted at 1 large quaternary-care referral hospital and 2 community hospitals.<h4>Participants</h4>All adults ≥18 years of age hospitalized at a study hospital for ≥48 hours were included in the study.<h4>Results</h4>In total, 254,792 admissions for ≥48 hours occurred during the study period. The average age of these patients was 57.6 (±19.0) years, and 141,107 (55.6%) were female. At hospital 1, 78 CLABSIs, 33 CAUTIs, and 88 VAEs were documented during the pandemic period. Hospital 2 had 13 CLABSIs, 6 CAUTIs, and 17 VAEs. Hospital 3 recorded 11 CLABSIs, 8 CAUTIs, and 11 VAEs. Point estimates for hypothetical excess HAIs suggested an increase in all infection types across facilities, except for CLABSIs and CAUTIs at hospital 1 under the "no pandemic" scenario.<h4>Conclusions</h4>The COVID-19 era was associated with increases in CLABSIs, CAUTIs, and VAEs at 3 hospitals in Missouri, with variations in significance by hospital and infection type. Continued vigilance in maintaining optimal infection prevention practices to minimize HAIs is warranted.Antimicrobial stewardship & healthcare epidemiology : ASHEe14https://www.ebi.ac.uk/biostudies/studies/S-EPMC9879893biostudies-literatureHealthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis.PMC9879893Dubberke ERKwon JHStwalley DMichelson APMcMullen KMNickel KBLyons PGGandra SOlsen MABurnham JPSahrmann JMfalseHealthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis.<h4>Objective</h4>To use interrupted time-series analyses to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs). We hypothesized that the pandemic would be associated with higher rates of HAIs after adjustment for confounders.<h4>Design</h4>We conducted a cross-sectional study of HAIs in 3 hospitals in Missouri from January 1, 2017, through August 31, 2020, using interrupted time-series analysis with 2 counterfactual scenarios.<h4>Setting</h4>The study was conducted at 1 large quaternary-care referral hospital and 2 community hospitals.<h4>Participants</h4>All adults ≥18 years of age hospitalized at a study hospital for ≥48 hours were included in the study.<h4>Results</h4>In total, 254,792 admissions for ≥48 hours occurred during the study period. The average age of these patients was 57.6 (±19.0) years, and 141,107 (55.6%) were female. At hospital 1, 78 CLABSIs, 33 CAUTIs, and 88 VAEs were documented during the pandemic period. Hospital 2 had 13 CLABSIs, 6 CAUTIs, and 17 VAEs. Hospital 3 recorded 11 CLABSIs, 8 CAUTIs, and 11 VAEs. Point estimates for hypothetical excess HAIs suggested an increase in all infection types across facilities, except for CLABSIs and CAUTIs at hospital 1 under the "no pandemic" scenario.<h4>Conclusions</h4>The COVID-19 era was associated with increases in CLABSIs, CAUTIs, and VAEs at 3 hospitals in Missouri, with variations in significance by hospital and infection type. Continued vigilance in maintaining optimal infection prevention practices to minimize HAIs is warranted.2023-01-01T00:00:00Z20232025-04-26T13:22:28.553Z2025-04-06T14:10:44.854ZS-EPMC98798933671428410.1017/ash.2022.361