Objectives: To describe the monthly distribution of COVID-19 hospitalisations, deaths and case-fatality rates (CFR) in Lombardy (Italy) throughout 2020. Methods: We analysed de-identified hospitalisation data comprising all COVID-19-related admissions from 1 February 2020 to 31 December 2020. The overall survival (OS) from time of first hospitalisation was estimated using the Kaplan-Meier method. We estimated monthly CFRs and performed Cox regression models to measure the effects of potential predictors on OS. Results: Hospitalisation and death peaks occurred in March and November 2020. Patients aged ≥70 years had an up to 180 times higher risk of dying compared to younger patients [70–80: HR 58.10 (39.14–86.22); 80–90: 106.68 (71.01–160.27); ≥90: 180.96 (118.80–275.64)]. Risk of death was higher in patients with one or more comorbidities [1: HR 1.27 (95% CI 1.20–1.35); 2: 1.44 (1.33–1.55); ≥3: 1.73 (1.58–1.90)] and in those with specific conditions (hypertension, diabetes). Conclusion: Our data sheds light on the Italian pandemic scenario, uncovering mechanisms and gaps at regional health system level and, on a larger scale, adding to the body of knowledge needed to inform effective health service planning, delivery, and preparedness in times of crisis.

The First 110,593 COVID-19 Patients Hospitalised in Lombardy: A Regionwide Analysis of Case Characteristics, Risk Factors and Clinical Outcomes / Mauer, N., Chiecca, G., Carioli, G., Gianfredi, V., Iacoviello, L., Bertagnolio, S., Guerra, R., Odone, A., Signorelli, C.. - In: INTERNATIONAL JOURNAL OF PUBLIC HEALTH. - ISSN 1661-8564. - 67:(2022). [10.3389/ijph.2022.1604427]

The First 110,593 COVID-19 Patients Hospitalised in Lombardy: A Regionwide Analysis of Case Characteristics, Risk Factors and Clinical Outcomes

Mauer N.
Primo
;
Chiecca G.
Secondo
;
Gianfredi V.
;
Odone A.
Penultimo
;
Signorelli C.
Ultimo
2022-01-01

Abstract

Objectives: To describe the monthly distribution of COVID-19 hospitalisations, deaths and case-fatality rates (CFR) in Lombardy (Italy) throughout 2020. Methods: We analysed de-identified hospitalisation data comprising all COVID-19-related admissions from 1 February 2020 to 31 December 2020. The overall survival (OS) from time of first hospitalisation was estimated using the Kaplan-Meier method. We estimated monthly CFRs and performed Cox regression models to measure the effects of potential predictors on OS. Results: Hospitalisation and death peaks occurred in March and November 2020. Patients aged ≥70 years had an up to 180 times higher risk of dying compared to younger patients [70–80: HR 58.10 (39.14–86.22); 80–90: 106.68 (71.01–160.27); ≥90: 180.96 (118.80–275.64)]. Risk of death was higher in patients with one or more comorbidities [1: HR 1.27 (95% CI 1.20–1.35); 2: 1.44 (1.33–1.55); ≥3: 1.73 (1.58–1.90)] and in those with specific conditions (hypertension, diabetes). Conclusion: Our data sheds light on the Italian pandemic scenario, uncovering mechanisms and gaps at regional health system level and, on a larger scale, adding to the body of knowledge needed to inform effective health service planning, delivery, and preparedness in times of crisis.
2022
Inglese
Frontiers Media S.A.
67
1604427
Pubblicato
https://www.ssph-journal.org/journals/international-journal-of-public-health/articles/10.3389/ijph.2022.1604427/full
Esperti anonimi
Internazionale
Goal 3: Good health and well-being
Coronavirus disease
COVID-19
epidemiology
hospital admission statistics
hospital records
Italy
Lombardy
SARS-CoV-2
The First 110,593 COVID-19 Patients Hospitalised in Lombardy: A Regionwide Analysis of Case Characteristics, Risk Factors and Clinical Outcomes / Mauer, N., Chiecca, G., Carioli, G., Gianfredi, V., Iacoviello, L., Bertagnolio, S., Guerra, R., Odone, A., Signorelli, C.. - In: INTERNATIONAL JOURNAL OF PUBLIC HEALTH. - ISSN 1661-8564. - 67:(2022). [10.3389/ijph.2022.1604427]
open
9
info:eu-repo/semantics/article
262
Mauer, N.; Chiecca, G.; Carioli, G.; Gianfredi, V.; Iacoviello, L.; Bertagnolio, S.; Guerra, R.; Odone, A.; Signorelli, C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/150371
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