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 / N. Mauer, G. Chiecca, G. Carioli, V. Gianfredi, L. Iacoviello, S. Bertagnolio, R. Guerra, A. Odone, C. Signorelli. - In: INTERNATIONAL JOURNAL OF PUBLIC HEALTH. - ISSN 1661-8556. - 67:(2022 May 11), pp. 1604427.1-1604427.10. [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

G. Carioli;V. Gianfredi
Conceptualization
;
2022

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.
COVID-19; Coronavirus disease; Italy; Lombardy; SARS-CoV-2; epidemiology; hospital admission statistics; hospital records; Comorbidity; Hospitalization; Humans; Pandemics; Risk Factors; COVID-19
Settore MED/42 - Igiene Generale e Applicata
https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604427/full
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/944210
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