Dataset Information

Glucometabolic changes influence hospitalization and outcome in patients with COVID-19: An observational cohort study.

ABSTRACT:

Aims

The aim was to report the prevalence of diabetes status in patients hospitalized with COVID-19 and assess the association between the glucometabolic status at admission and 90-day mortality.

Methods

Consecutive patients hospitalized with COVID-19 were included in the study. All participants included had an HbA_1c measurement 60 days prior to or within 7 days after admission. We studied the association between diabetes status, the glycemic gap (difference between admission and habitual status), admission plasma-glucose, and mortality using Cox proportional hazards regression.

Results

Of 674 patients included, 114 (17%) had normal glucose level, 287 (43%) had pre-diabetes, 74 (11%) had new-onset, and 199 (30%) had diagnosed diabetes. No association between diabetes status, plasma-glucose at admission, and mortality was found. Compared to the 2nd quartile (reference) of glycemic-gap, those with the highest glycemic gap had increased mortality (3rd (HR 2.38 [1.29-4.38], p = 0.005) and 4th quartile (HR 2.48 [1.37-4.52], p = 0.002).

Conclusion

Abnormal glucose metabolism was highly prevalent among patients hospitalized with COVID-19. Diabetes status per se or admission plasma-glucose was not associated with a poorer outcome. However, a high glycemic gap was associated with increased risk of mortality, suggesting that, irrespective of diabetes status, glycemic stress serves as an important prognostic marker for mortality.

SUBMITTER: Clausen CL

PROVIDER: S-EPMC9055392 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

Glucometabolic changes influence hospitalization and outcome in patients with COVID-19: An observational cohort study.

Clausen Clara L CL Leo-Hansen Christian C Faurholt-Jepsen Daniel D Krogh-Madsen Rikke R Ritz Christian C Kirk Ole O Jørgensen Henrik L HL Benfield Thomas T Almdal Thomas P TP Snorgaard Ole O

Diabetes research and clinical practice 20220425

<h4>Aims</h4>The aim was to report the prevalence of diabetes status in patients hospitalized with COVID-19 and assess the association between the glucometabolic status at admission and 90-day mortality.<h4>Methods</h4>Consecutive patients hospitalized with COVID-19 were included in the study. All participants included had an HbA<sub>1c</sub> measurement 60 days prior to or within 7 days after admission. We studied the association between diabetes status, the glycemic gap (difference between adm ...[more]

PMID: 35483546

Similar Datasets

Project description:BackgroundLittle is known about postdischarge healthcare resource use (HCU) among patients hospitalized for coronavirus disease 2019 (COVID-19). The objective was to identify distinct profiles of patients based on postdischarge cares.MethodsThis was a retrospective cohort study using the French National Health System claims database. We followed up all patients hospitalized for COVID-19 between 2020/02/01 and 2020/06/30 for 6 months; the discharge date was the index date. We excluded patients who died during the index stay or within 30 days after discharge. We described patients' HCU over 5 months from day 31 after the index date to the end of follow-up, i.e., the post-COVID-19 period. We described the sociodemographic and clinical characteristics of the participants and 44 selected types of HCU, including medical and emergency room visits, medications, medical and biological tests, oxygen therapy, rehabilitation, rehospitalization, nurse visits, and sick leave. We performed Ward's ascendant hierarchical clustering (AHC) analysis to identify groups of patients with similar post-COVID-19 HCU and described HCU and clinical characteristics by cluster.ResultsThe study population included 68,822 patients (median age: 64.8 years, 47% women). Eight clusters of patients were identified, each comprising between 1,163 and 35,501 patients. Four clusters were characterized by older patients and high proportions of comorbidities, i.e. cancer (cluster 3), mental disorders (cluster 4), cardiac insufficiency (cluster 5) and respiratory failure (cluster 6). Cluster 8 was characterized by younger patients, often obese and with low mortality. Another cluster was characterized by complex index stays (cluster 7) and a last cluster (cluster 2) by specific medical contacts and therapy. The main cluster (cluster 1, n = 35,501) was similar to the overall study population. The duration and complexity of the index stay also varied across clusters.ConclusionsBased on HCU data, AHC identified 8 clinically relevant profiles of patients surviving the acute episode of COVID-19 hospitalization. The clusters illustrate the many impacts of COVID on the health status of infected patients and may help anticipate future needs of care in a similar context.

Dataset Information

Glucometabolic changes influence hospitalization and outcome in patients with COVID-19: An observational cohort study.

Aims

Methods

Results

Conclusion

Publications

Glucometabolic changes influence hospitalization and outcome in patients with COVID-19: An observational cohort study.

Similar Datasets

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