tetano
Editor, Senior Moderator
Influenza Other Respir Viruses
. 2024 Nov;18(11):e70021.
doi: 10.1111/irv.70021. Trends in COVID-19-Attributable Hospitalizations Among Adults With Laboratory-Confirmed SARS-CoV-2-COVID-NET, June 2020 to September 2023
Christopher A Taylor[SUP] 1 [/SUP], Michael Whitaker[SUP] 1 [/SUP], Monica E Patton[SUP] 1 2 [/SUP], Michael Melgar[SUP] 1 [/SUP], Pam Daily Kirley[SUP] 3 [/SUP], Breanna Kawasaki[SUP] 4 [/SUP], Kimberly Yousey-Hindes[SUP] 5 [/SUP], Kyle P Openo[SUP] 6 7 8 [/SUP], Patricia A Ryan[SUP] 9 [/SUP], Sue Kim[SUP] 10 [/SUP], Kathryn Como-Sabetti[SUP] 11 [/SUP], Dominic Solhtalab[SUP] 12 [/SUP], Grant Barney[SUP] 13 [/SUP], Brenda L Tesini[SUP] 14 [/SUP], Nancy E Moran[SUP] 15 [/SUP], Melissa Sutton[SUP] 16 [/SUP], H Keipp Talbot[SUP] 17 [/SUP], Kristen Olsen[SUP] 18 [/SUP], Fiona P Havers[SUP] 1 2 [/SUP]
Affiliations
Background: Screening for SARS-CoV-2 infection among hospital admissions made interpretation of COVID-19 hospitalization data challenging as SARS-CoV-2-positive persons with mild or asymptomatic infection may be incorrectly identified as COVID-19-associated hospitalizations. The study objective is to estimate the proportion of hospitalizations likely attributable to COVID-19 among SARS-CoV-2-positive hospitalized patients.
Methods: A sample of laboratory-confirmed SARS-CoV-2-positive hospitalizations from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) from June 2020 to September 2023 was analyzed, with a focus on July 2022 to September 2023. Likely COVID-19-attributable hospitalizations were defined as hospitalizations among SARS-CoV-2-positive non-pregnant adults ages ≥ 18 years with COVID-19-related presenting complaint, treatment, or discharge diagnosis.
Results: Among 44,816 sampled hospitalizations, 90% met the definition of likely COVID-19-attributable. Among the 9866 admissions occurring during July 2022 to September 2023, 86% were likely COVID-19-attributable; 87% had a COVID-19-related presenting complaint, 64% received steroids or COVID-19-related treatment, 47% had respiratory- and 10% had coagulopathy-related discharge diagnoses, and 39% had COVID-19 as the principal discharge diagnosis code. More than 70% met ≥ 2 criteria. Compared with likely COVID-19-attributable hospitalizations, SARS-CoV-2-positive patients who did not meet the case definition were more likely to be ages 18-49 years (27% vs. 13%), have no underlying medical conditions (14% vs. 4%), or be asymptomatic for COVID-19 upon admission (46% vs. 10%) (all p < 0.05).
Conclusions: Most hospitalizations among SARS-CoV-2-positive adults in a recent period were likely attributable to COVID-19. COVID-19-attributable hospitalizations are less common among younger SARS-CoV-2-positive hospitalized adults but still account for nearly three quarters of all admissions among SARS-CoV-2-positive adults in this age group.
Keywords: COVID‐19; epidemiology; hospitalizations; population‐based surveillance.
. 2024 Nov;18(11):e70021.
doi: 10.1111/irv.70021. Trends in COVID-19-Attributable Hospitalizations Among Adults With Laboratory-Confirmed SARS-CoV-2-COVID-NET, June 2020 to September 2023
Christopher A Taylor[SUP] 1 [/SUP], Michael Whitaker[SUP] 1 [/SUP], Monica E Patton[SUP] 1 2 [/SUP], Michael Melgar[SUP] 1 [/SUP], Pam Daily Kirley[SUP] 3 [/SUP], Breanna Kawasaki[SUP] 4 [/SUP], Kimberly Yousey-Hindes[SUP] 5 [/SUP], Kyle P Openo[SUP] 6 7 8 [/SUP], Patricia A Ryan[SUP] 9 [/SUP], Sue Kim[SUP] 10 [/SUP], Kathryn Como-Sabetti[SUP] 11 [/SUP], Dominic Solhtalab[SUP] 12 [/SUP], Grant Barney[SUP] 13 [/SUP], Brenda L Tesini[SUP] 14 [/SUP], Nancy E Moran[SUP] 15 [/SUP], Melissa Sutton[SUP] 16 [/SUP], H Keipp Talbot[SUP] 17 [/SUP], Kristen Olsen[SUP] 18 [/SUP], Fiona P Havers[SUP] 1 2 [/SUP]
Affiliations
- PMID: 39496579
- DOI: 10.1111/irv.70021
Background: Screening for SARS-CoV-2 infection among hospital admissions made interpretation of COVID-19 hospitalization data challenging as SARS-CoV-2-positive persons with mild or asymptomatic infection may be incorrectly identified as COVID-19-associated hospitalizations. The study objective is to estimate the proportion of hospitalizations likely attributable to COVID-19 among SARS-CoV-2-positive hospitalized patients.
Methods: A sample of laboratory-confirmed SARS-CoV-2-positive hospitalizations from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) from June 2020 to September 2023 was analyzed, with a focus on July 2022 to September 2023. Likely COVID-19-attributable hospitalizations were defined as hospitalizations among SARS-CoV-2-positive non-pregnant adults ages ≥ 18 years with COVID-19-related presenting complaint, treatment, or discharge diagnosis.
Results: Among 44,816 sampled hospitalizations, 90% met the definition of likely COVID-19-attributable. Among the 9866 admissions occurring during July 2022 to September 2023, 86% were likely COVID-19-attributable; 87% had a COVID-19-related presenting complaint, 64% received steroids or COVID-19-related treatment, 47% had respiratory- and 10% had coagulopathy-related discharge diagnoses, and 39% had COVID-19 as the principal discharge diagnosis code. More than 70% met ≥ 2 criteria. Compared with likely COVID-19-attributable hospitalizations, SARS-CoV-2-positive patients who did not meet the case definition were more likely to be ages 18-49 years (27% vs. 13%), have no underlying medical conditions (14% vs. 4%), or be asymptomatic for COVID-19 upon admission (46% vs. 10%) (all p < 0.05).
Conclusions: Most hospitalizations among SARS-CoV-2-positive adults in a recent period were likely attributable to COVID-19. COVID-19-attributable hospitalizations are less common among younger SARS-CoV-2-positive hospitalized adults but still account for nearly three quarters of all admissions among SARS-CoV-2-positive adults in this age group.
Keywords: COVID‐19; epidemiology; hospitalizations; population‐based surveillance.