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The First 110,593 COVID-19 Patients Hospitalised in Lombardy: A Regionwide Analysis of Case Characteristics, Risk Factors and Clinical Outcomes.
Mauer, Nicole; Chiecca, Greta; Carioli, Greta; Gianfredi, Vincenza; Iacoviello, Licia; Bertagnolio, Silvia; Guerra, Ranieri; Odone, Anna; Signorelli, Carlo.
  • Mauer N; Vita-Salute San Raffaele University, Milan, Italy.
  • Chiecca G; European Observatory on Health Systems and Policies, Brussels, Belgium.
  • Carioli G; Vita-Salute San Raffaele University, Milan, Italy.
  • Gianfredi V; Vita-Salute San Raffaele University, Milan, Italy.
  • Iacoviello L; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Bertagnolio S; Department of Epidemiology and Prevention, University of Insubria, Varese, Italy.
  • Guerra R; IRCCS Neuromed, Pozzilli, Italy.
  • Odone A; World Health Organization, Geneva, Switzerland.
  • Signorelli C; World Health Organization, Geneva, Switzerland.
Int J Public Health ; 67: 1604427, 2022.
Article in English | MEDLINE | ID: covidwho-1933936
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Int J Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: Ijph.2022.1604427

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Int J Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: Ijph.2022.1604427