2023
DOI: 10.1017/ice.2022.300
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Impact of changing case definitions for coronavirus disease 2019 (COVID-19) hospitalization on pandemic metrics

Abstract: Objective: To examine the impact of commonly used case definitions for coronavirus disease 2019 (COVID-19) hospitalizations on case counts and outcomes. Design, patients, and setting: Retrospective analysis of all adults hospitalized between March 1, 2020, and March 1, 2022, at 5 Massachusetts acute-care hospitals. Interventions: We applied 6 commonly used definitions of COVID-19 hospitalization: positive severe acute respiratory coronavirus virus 2 (SARS-CoV-2) polymer… Show more

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Cited by 3 publications
(7 citation statements)
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“…In hospital systems with widespread use of SARS-CoV-2 testing for all inpatients, such as MGB, PPV may be lower than in systems that perform more targeted testing because the chance of diagnosing incidental or noncontributing SARS-CoV-2 infections rises with increased testing . Third, we may have misattributed organ dysfunction to SARS-CoV-2, particularly during periods of high community transmission when some hospitalized patients tested positive for SARS-CoV-2 while hospitalized for other reasons . Fourth, our analyses of mortality trends for presumed bacterial sepsis may have been confounded by changes in case mix for the non–COVID-19 population over time.…”
Section: Discussionmentioning
confidence: 97%
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“…In hospital systems with widespread use of SARS-CoV-2 testing for all inpatients, such as MGB, PPV may be lower than in systems that perform more targeted testing because the chance of diagnosing incidental or noncontributing SARS-CoV-2 infections rises with increased testing . Third, we may have misattributed organ dysfunction to SARS-CoV-2, particularly during periods of high community transmission when some hospitalized patients tested positive for SARS-CoV-2 while hospitalized for other reasons . Fourth, our analyses of mortality trends for presumed bacterial sepsis may have been confounded by changes in case mix for the non–COVID-19 population over time.…”
Section: Discussionmentioning
confidence: 97%
“… 46 Third, we may have misattributed organ dysfunction to SARS-CoV-2, particularly during periods of high community transmission when some hospitalized patients tested positive for SARS-CoV-2 while hospitalized for other reasons. 22 Fourth, our analyses of mortality trends for presumed bacterial sepsis may have been confounded by changes in case mix for the non–COVID-19 population over time. We did adjust our estimates for patient demographics and comorbidities, but we did not adjust for vital signs or laboratory measures, allowing for the possibility of residual confounding.…”
Section: Discussionmentioning
confidence: 99%
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“…This disconnect has also been demonstrated in COVID-19 patients. Using chart review, the study by Shappell et al ( 23 ) found that a COVID-19 ICD-10 discharge diagnostic code had only a fair positive predictive value (74%) for an acute COVID-19 infection as the primary or secondary reason for admission. Similarly, we found that patients with sepsis ICD-10 code + COVID-19 diagnosis had lower systolic blood pressure, higher initial lactate level, increased ICU admission, and higher baseline disease severity (GCS, MEWS scores) when compared to COVID-19 diagnosis-only patients.…”
Section: Discussionmentioning
confidence: 99%
“… 3 , 8 , 9 Nonetheless, the prevailing definitions used to determine severity level of COVID-19 hospitalizations have led to invalid case counts and outcomes. 10 …”
mentioning
confidence: 99%