Evidence map›Paper›PMID 40018591›Full record

ArticleBMJ public health2024

Evaluating the CURB-65 score for in-hospital mortality prediction in COVID-19 patients: insights into dysglycaemia.

Farzahna Mohamed, Brent A Prim, Jarrod Zamparini, Aletta Millen, Frederick Raal, Ismail Sikander Kalla

Abstract read
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Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Farzahna MohamedInternal Medicine, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-5602-3621
Brent A PrimInternal Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Jarrod ZampariniInternal Medicine, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-1365-5650
Aletta MillenSchool of Physiology, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-4831-7336
Frederick RaalInternal Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Ismail Sikander KallaInternal Medicine, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-9131-7123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: While the CURB-65 score predicts mortality in community-acquired pneumonia (CAP), its performance in COVID-19 CAP is suboptimal. Hyperglycaemia correlates with an increased mortality in COVID-19. This analysis aims to enhance predictive accuracy for in-hospital mortality among COVID-19 patients by augmenting the CURB-65 score with objective variables, including markers of dysglycaemia. Design: A single-centre retrospective observational analysis assessed the effectiveness of the CURB-65 score in predicting in-hospital mortality among adult patients with moderate to severe COVID-19 from March to September 2020. Using a binary logistic regression model, two extended CURB-65 scores which include markers of dysglycemia are proposed to enhance the predictive capability of the CURB-65 score for in-hospital mortality. Results: Among 517 patients admitted, 117 (22.6%) died. Using the CURB-65 score, 393 patients (76%) were classified as low risk, 91 (17.6%) as medium risk and 33 (6.4%) as high risk. 37 patients were diagnosed with new-onset dysglycaemia, of which 22 (59.5%) died (p<0.001). Of those with dysglycaemia who died, 41% and 23% were classified as low risk and high risk using the CURB-65 score. The CURB-65 score demonstrated a modest area under the receiver operator characteristic curve (AUC) of 0.75 (95% CI 0.70 to 0.81) for in-hospital mortality in COVID-19 CAP. An Extended CURB-65 Score 1, incorporating an admission of fasting plasma glucose (FPG) and neutrophil to lymphocyte ratio, showed improved prognostic performance with an AUC of 0.80 (95% CI 0.76 to 0.85). When lactate and lactate dehydrogenase were added to these parameters (Extended CURB-65 Score 2), the AUC was 0.82 (95% CI 0.78 to 0.86). The integrated discrimination index showed an 11% and 24% higher discrimination slope when using the Extended CURB-65 Scores 1 and 2, respectively. Conclusions: The addition of common biochemical parameters including an admission FPG enhances the prognostic performance of CURB-65 for in-hospital mortality among patients with COVID-19.

Indexed as

Communicable Disease ControlCOVID-19SARS-CoV-2

Identifiers

PMID40018591
PMCPMC11816281

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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.