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Risk Factors for Severe Hospital Burden During the First Wave of COVID-19 Disease in Regione Lombardia

36 Pages Posted: 26 Feb 2021

See all articles by Anne M. Presanis

Anne M. Presanis

University of Cambridge - MRC Biostatistics Unit

Kevin Kunzmann

MRC Biostatistics Unit, University of Cambridge

Francesca M. Grosso

Postgraduate School of Public Health, Department of Biomedical Sciences for Health, University of Milan

Christopher H. Jackson

MRC Biostatistics Unit, University of Cambridge

Alice Corbella

MRC Biostatistics Unit, University of Cambridge

Giacomo Grasselli

Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan

Marco Salmoiraghi

Welfare General Directorate, Regione Lombardia

Maria Gramegna

Welfare General Directorate, Regione Lombardia

Daniela DeAngelis

Government of the United Kingdom - Public Health England

Danilo Cereda

Welfare General Directorate, Regione Lombardia

More...

Abstract

Background: Understanding the risk factors associated with hospital burden of COVID-19 is crucial for healthcare planning for any future waves of infection.

Methods: An observational cohort study is performed, using data on all RT-PCR confirmed cases of COVID-19 in Regione Lombardia, Italy, during the first wave of infection from February-June 2020. A multi-state modelling approach is used to simultaneously estimate risks of progression through hospital to final outcomes of either death or discharge, by pathway (via critical care or not) and the times to final events (lengths of stay). Logistic and time-to-event regressions are used to quantify the association of patient and population characteristics with the risks of hospital outcomes and lengths of stay respectively.

Findings: Risks of severe outcomes such as ICU admission and mortality have decreased with month of admission and increased with age. Care home residents aged 65+ are at increased risk of hospital mortality and decreased risk of ICU admission. Being a healthcare worker appears to have a protective effect on mortality risk and length of stay. Lengths of stay decrease with month of admission for survivors, but do not appear to vary with month for non-survivors.

Interpretation: Improvements in clinical knowledge, treatment, patient and hospital management and public health surveillance, together with the waning of the first wave after the first lockdown, are hypothesised to have contributed to the reduced risks and lengths of stay over time.

Funding: This work has been funded by the Medical Research Council (De Angelis, Jackson, Presanis: Unit programme number MC UU 00002/11; Kunzmann: Unit programme number MC_UU_00002/10); and the UKRI-MRC COVID-19 Rapid Call (Presanis, De Angelis, grant no MC_PC_19074).

Declaration of Interests: None to declare.

Suggested Citation

Presanis, Anne M. and Kunzmann, Kevin and Grosso, Francesca M. and Jackson, Christopher H. and Corbella, Alice and Grasselli, Giacomo and Salmoiraghi, Marco and Gramegna, Maria and DeAngelis, Daniela and Cereda, Danilo, Risk Factors for Severe Hospital Burden During the First Wave of COVID-19 Disease in Regione Lombardia. Available at SSRN: https://ssrn.com/abstract=3792155 or http://dx.doi.org/10.2139/ssrn.3792155

Anne M. Presanis (Contact Author)

University of Cambridge - MRC Biostatistics Unit ( email )

United Kingdom

Kevin Kunzmann

MRC Biostatistics Unit, University of Cambridge ( email )

Trinity Ln
Cambridge, CB2 1TN
United Kingdom

Francesca M. Grosso

Postgraduate School of Public Health, Department of Biomedical Sciences for Health, University of Milan ( email )

Via Festa del Perdono, 7
Milan, 20122
Italy

Christopher H. Jackson

MRC Biostatistics Unit, University of Cambridge ( email )

Trinity Ln
Cambridge, CB2 1TN
United Kingdom

Alice Corbella

MRC Biostatistics Unit, University of Cambridge ( email )

Trinity Ln
Cambridge, CB2 1TN
United Kingdom

Giacomo Grasselli

Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan ( email )

Via Festa del Perdono, 7
Milan, 20122
Italy

Marco Salmoiraghi

Welfare General Directorate, Regione Lombardia ( email )

Milan
Italy

Maria Gramegna

Welfare General Directorate, Regione Lombardia ( email )

Milan
Italy

Daniela DeAngelis

Government of the United Kingdom - Public Health England ( email )

Wellington House
133-155 Waterloo Road
London, SE1 8UG
United Kingdom

Danilo Cereda

Welfare General Directorate, Regione Lombardia ( email )

Milan
Italy