Evidence map›Paper›PMID 39211576›Full record

ArticleCHEST critical care2023

ICU Mortality Across Prepandemic and Pandemic Cohorts in a Resource-Limited Setting: A Critical Care Resiliency Analysis From South Africa.

George L Anesi, Stella M Savarimuthu, Jonathan Invernizzi, Robyn Hyman, Arisha Ramkillawan, Creaghan Eddey, Robert D Wise, Michelle T D Smith

Abstract read
In one paragraph

Article in CHEST critical care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Assessing the cost-effectiveness of capnography for end-tidal COAmerican heart journal plus : cardiology research and practice · 2024
    Article
  8. Article
  9. The effect of the SARS-CoV2 pandemic and lockdown on non-Covid ICU admissions: Experience from a South African tertiary hospital.The Southern African journal of critical care : the official journal of the Critical Care Society · 2024
    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

8 authors.

George L AnesiDivision of Pulmonary, Allergy, and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Stella M SavarimuthuSection of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT.
Jonathan InvernizziDepartment of Anaesthesia and Critical Care, Harry Gwala Regional Hospital, Greys Hospital, KwaZulu-Natal Department of Health, Pietermaritzburg.
Robyn HymanDepartment of Anaesthesia and Critical Care, Harry Gwala Regional Hospital, Greys Hospital, KwaZulu-Natal Department of Health, Pietermaritzburg.
Arisha RamkillawanDepartment of Anaesthesia and Critical Care, Greys Hospital, KwaZulu-Natal Department of Health, Pietermaritzburg.
Creaghan EddeyDepartment of Anaesthesia and Critical Care, Greys Hospital, KwaZulu-Natal Department of Health, Pietermaritzburg.
Robert D WiseDepartment of Anaesthesia and Critical Care, School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa.
Michelle T D SmithDepartment of Anaesthesia and Critical Care, Greys Hospital, KwaZulu-Natal Department of Health, Pietermaritzburg.

Funding

Hospital adaptation and resiliency for infected and uninfected patients during respiratory viral surge events: from seasonal influenza to COVID-19K23HL161353 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI George L Anesi · 2022 to 2026
$837k
NHLBI NIH HHS K23 HL161353
6 · The paper itself

Abstract

backgroundHospital adaptation and resiliency, required during public health emergencies to optimize outcomes, are understudied especially in resource-limited settings. RESEARCH QUESTION: What are the prepandemic and pandemic critical illness outcomes in a resource-limited setting and in the context of capacity strain? STUDY DESIGN AND

methodsWe performed a retrospective cohort study among patients admitted to ICUs at two public hospitals in the KwaZulu-Natal Department of Health in South Africa preceding and during the COVID-19 pandemic (2017-2022). We used multivariate logistic regression to analyze the association between three patient cohorts (prepandemic non-COVID-19, pandemic non-COVID-19, and pandemic COVID-19) and ICU capacity strain and the primary outcome of ICU mortality.

resultsThree thousand two hundred twenty-one patients were admitted to the ICU during the prepandemic period and 2,539 patients were admitted to the ICU during the pandemic period (n = 375 [14.8%] with COVID-19 and n = 2,164 [85.2%] without COVID-19). The prepandemic and pandemic non-COVID-19 cohorts were similar. Compared with the non-COVID-19 cohorts, the pandemic COVID-19 cohort showed older age, higher rates of chronic cardiovascular disease and diabetes, less extrapulmonary organ dysfunction, and longer ICU length of stay. Compared with the prepandemic non-COVID-19 cohort, the pandemic non-COVID-19 cohort showed similar odds of ICU mortality (OR, 1.06; 95% CI, 0.90-1.25;

interpretationPatients admitted to the ICU before and during the pandemic without COVID-19 were broadly similar in clinical characteristics and outcomes, suggesting critical care resiliency, whereas patients admitted to the ICU with COVID-19 showed important clinical differences and significantly higher mortality.

Indexed as

capacity strainCOVID-19hospital adaptationhospital resiliencypreparedness

Identifiers

PMID39211576
PMCPMC11360720

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LicenceCC BY-NC-ND
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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.