Evidence map›Paper›PMID 34479535›Full record

ArticleBMC public health2021

Decreasing hospital burden of COVID-19 during the first wave in Regione Lombardia: an emergency measures context.

Francesca Maria Grosso, Anne Margaret Presanis, Kevin Kunzmann, Chris Jackson, Alice Corbella, Giacomo Grasselli, Aida Andreassi, Annalisa Bodina, Maria Gramegna, Silvana Castaldi and 3 more

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  3. What is the optimal country for minimum COVID-19 morbidity and mortality rates?Environmental science and pollution research international · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Francesca Maria Grosso *Postgraduate School of Public Health, Department of Biomedical Sciences for Health, Via Pascal 36, University of Milan, Milan, Italy. francesca.grosso@unimi.it.
Anne Margaret Presanis *MRC Biostatistics Unit, University of Cambridge, East Forvie Building, Robinson way, Cambridge, UK.
Kevin KunzmannMRC Biostatistics Unit, University of Cambridge, East Forvie Building, Robinson way, Cambridge, UK.
Chris JacksonMRC Biostatistics Unit, University of Cambridge, East Forvie Building, Robinson way, Cambridge, UK.
Alice CorbellaMRC Biostatistics Unit, University of Cambridge, East Forvie Building, Robinson way, Cambridge, UK.
Giacomo GrasselliFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Via Francesco Sforza 28, Milan, Italy.
Aida AndreassiWelfare General Directorate, Regione Lombardia, Piazza Città di Lombardia 1, Milan, Italy.
Annalisa BodinaWelfare General Directorate, Regione Lombardia, Piazza Città di Lombardia 1, Milan, Italy.
Maria GramegnaWelfare General Directorate, Regione Lombardia, Piazza Città di Lombardia 1, Milan, Italy.
Silvana CastaldiPostgraduate School of Public Health, Department of Biomedical Sciences for Health, Via Pascal 36, University of Milan, Milan, Italy.
Danilo Cereda *Welfare General Directorate, Regione Lombardia, Piazza Città di Lombardia 1, Milan, Italy.
Daniela De Angelis *MRC Biostatistics Unit, University of Cambridge, East Forvie Building, Robinson way, Cambridge, UK.
Covid-19 Lombardy Working Group

Funding

Medical Research Council MC_PC_19074Medical Research Council MC_UU_00002/11
6 · The paper itself

Abstract

backgroundThe aim of this study is to quantify the hospital burden of COVID-19 during the first wave and how it changed over calendar time; to interpret the results in light of the emergency measures introduced to manage the strain on secondary healthcare.

methodsThis is a cohort study of hospitalised confirmed cases of COVID-19 admitted from February-June 2020 and followed up till 17th July 2020, analysed using a mixture multi-state model. All hospital patients with confirmed COVID-19 disease in Regione Lombardia were involved, admitted from February-June 2020, with non-missing hospital of admission and non-missing admission date.

resultsThe cohort consists of 40,550 patients hospitalised during the first wave. These patients had a median age of 69 (interquartile range 56-80) and were more likely to be men (60%) than women (40%). The hospital-fatality risk, averaged over all pathways through hospital, was 27.5% (95% CI 27.1-28.0%); and steadily decreased from 34.6% (32.5-36.6%) in February to 7.6% (6.3-10.6%) in June. Among surviving patients, median length of stay in hospital was 11.8 (11.6-12.3) days, compared to 8.1 (7.8-8.5) days in non-survivors. Averaged over final outcomes, median length of stay in hospital decreased from 21.4 (20.5-22.8) days in February to 5.2 (4.7-5.8) days in June.

conclusionsThe hospital burden, in terms of both risks of poor outcomes and lengths of stay in hospital, has been demonstrated to have decreased over the months of the first wave, perhaps reflecting improved treatment and management of COVID-19 cases, as well as reduced burden as the first wave waned. The quantified burden allows for planning of hospital beds needed for current and future waves of SARS-CoV-2 i.

Indexed as

COVID-19Cohort StudiesFemaleHospitalizationHospitalsHumansMaleSARS-CoV-2

Identifiers

PMID34479535
PMCPMC8414029

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.