Evidence map›Paper›PMID 37436751›Full record

ArticleJAMA network open2023

Outcomes Among Patients Hospitalized With Non-COVID-19 Conditions Before and During the COVID-19 Pandemic in Alberta and Ontario, Canada.

Finlay A McAlister, Anna Chu, Feng Qiu, Yuan Dong, Sean van Diepen, Erik Youngson, Amy Y X Yu, Charles de Mestral, Heather J Ross, Peter C Austin and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Reducing Hospitalisations With a Skin and Soft Tissue Infection Clinic.Journal of evaluation in clinical practice · 2025
    Article
  4. Article
  5. Clinical evaluation of a machine learning-based early warning system for patient deterioration.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Finlay A McAlisterDivision of General Internal Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Anna ChuICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
Feng QiuICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
Yuan DongAlberta Strategy for Patient Oriented Research Support Unit, Edmonton, Alberta, Canada.
Sean van DiepenDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Erik YoungsonAlberta Strategy for Patient Oriented Research Support Unit, Edmonton, Alberta, Canada.
Amy Y X YuICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
Charles de MestralICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
Heather J RossDepartment of Medicine (Cardiology), University of Toronto, Toronto, Ontario, Canada.
Peter C AustinICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
Douglas S LeeICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
Sameer S KadriCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Harindra C WijeysunderaICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
CORONA Collaboration

Funding

Big Data - Epidemiology of Critical Illness and SepsisZIACL090045 · CLC · CLINICAL CENTER · PI KADRI, SAMEER · 2017 to 2025
$0k
CIHR VR4 172736
6 · The paper itself

Abstract

Importance: The association of inpatient COVID-19 caseloads with outcomes in patients hospitalized with non-COVID-19 conditions is unclear. Objective: To determine whether 30-day mortality and length of stay (LOS) for patients hospitalized with non-COVID-19 medical conditions differed (1) before and during the pandemic and (2) across COVID-19 caseloads. Design, Setting, and Participants: This retrospective cohort study compared patient hospitalizations between April 1, 2018, and September 30, 2019 (prepandemic), vs between April 1, 2020, and September 30, 2021 (during the pandemic), in 235 acute care hospitals in Alberta and Ontario, Canada. All adults hospitalized for heart failure (HF), chronic obstructive pulmonary disease (COPD) or asthma, urinary tract infection or urosepsis, acute coronary syndrome, or stroke were included. Exposure: The monthly surge index for each hospital from April 2020 through September 2021 was used as a measure of COVID-19 caseload relative to baseline bed capacity. Main Outcomes and Measures: The primary study outcome was 30-day all-cause mortality after hospital admission for the 5 selected conditions or COVID-19 as measured by hierarchical multivariable regression models. Length of stay was the secondary outcome. Results: Between April 2018 and September 2019, 132 240 patients (mean [SD] age, 71.8 [14.8] years; 61 493 female [46.5%] and 70 747 male [53.5%]) were hospitalized for the selected medical conditions as their most responsible diagnosis compared with 115 225 (mean [SD] age, 71.9 [14.7] years, 52 058 female [45.2%] and 63 167 male [54.8%]) between April 2020 and September 2021 (114 414 [99.3%] of whom had negative SARS-CoV-2 test results). Patients admitted during the pandemic with any of the selected conditions and concomitant SARS-CoV-2 infection exhibited a much longer LOS (mean [SD], 8.6 [7.1] days or a median of 6 days longer [range, 1-22 days]) and greater mortality (varying across diagnoses, but with a mean [SD] absolute increase at 30 days of 4.7% [3.1%]) than those without coinfection. Patients hospitalized with any of the selected conditions without concomitant SARS-CoV-2 infection had similar LOSs during the pandemic as before the pandemic, and only patients with HF (adjusted odds ratio [AOR], 1.16; 95% CI, 1.09-1.24) and COPD or asthma (AOR, 1.41; 95% CI, 1.30-1.53) had a higher risk-adjusted 30-day mortality during the pandemic. As hospitals experienced COVID-19 surges, LOS and risk-adjusted mortality remained stable for patients with the selected conditions but were higher in patients with COVID-19. Once capacity reached above the 99th percentile, patients' 30-day mortality AOR was 1.80 (95% CI, 1.24-2.61) vs when the surge index was below the 75th percentile. Conclusions and Relevance: This cohort study found that during surges in COVID-19 caseloads, mortality rates were significantly higher only for hospitalized patients with COVID-19. However, most patients hospitalized with non-COVID-19 conditions and negative SARS-CoV-2 test results (except those with HF or with COPD or asthma) exhibited similar risk-adjusted outcomes during the pandemic as before the pandemic, even during COVID-19 caseload surges, suggesting resiliency in the event of regional or hospital-specific occupancy strains.

Indexed as

AsthmaCOVID-19Heart FailurePulmonary Disease, Chronic ObstructiveAdolescentAdultAgedAlbertaCohort StudiesFemaleHumansMaleOntarioPandemicsRetrospective StudiesSARS-CoV-2

Identifiers

PMID37436751
PMCPMC10339156

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Registered trials

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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.