Evidence map›Paper›PMID 39202059›Full record

ArticleJournal of personalized medicine2024

Evaluating the Utility of Clinical Scores APACHE, CURB, SOFA, and NEWS2 at Admission and 5-Days after Symptom Onset in Predicting Severe COVID-19 in Patients with Diabetes.

Radu Ion, Jaya Shankar Sai Kumar Kimidi, Chaitanya Kalapala, Oktrian Fnu, Varshika Ramakrishnan Chandrababu, Omprakash Reddy Desireddygari, Mirela Loredana Grigras, Ovidiu Rosca, Felix Bratosin, Flavius Cioca and 2 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Radu IonDepartment III Functional Sciences, Division of Public Health and Management, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0009-0007-6020-2375
Jaya Shankar Sai Kumar KimidiKaturi Medical College and Hospital, Katuri Health City 522019, India.
Chaitanya KalapalaKaturi Medical College, Dr YSR University of Health Sciences, Vijayawada 520008, India.
Oktrian FnuFaculty of Medicine, University of Indonesia, Jakarta 10430, Indonesia.
Varshika Ramakrishnan ChandrababuFaculty of Medicine, Royal Stoke University Hospital, Stoke-on-Trent ST4 6QG, UK.
Omprakash Reddy DesireddygariFaculty of Medicine, Royal Stoke University Hospital, Stoke-on-Trent ST4 6QG, UK.
Mirela Loredana GrigrasMethodological and Infectious Diseases Research Center, Department of Infectious Diseases, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Ovidiu RoscaMethodological and Infectious Diseases Research Center, Department of Infectious Diseases, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.ORCID 0000-0001-8236-2205
Felix BratosinMethodological and Infectious Diseases Research Center, Department of Infectious Diseases, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.ORCID 0000-0003-4711-4315
Flavius CiocaDoctoral School, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Romulus TimarDepartment of Internal Medicine II, Division of Diabetes, Nutrition and Metabolic Diseases, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.ORCID 0000-0003-0792-9202
Rodica Anamaria NegreanDepartment of Preclinical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elevated risk of severe COVID-19 outcomes in patients with diabetes underscores the need for effective predictive tools. This study aimed to assess the predictive accuracy of APACHE II, CURB-65, SOFA, and NEWS2 scores at critical time points in diabetic patients diagnosed with COVID-19, aiming to guide early and potentially life-saving interventions. In a prospective cohort study conducted from January 2021 to December 2023, adult patients with type 1 or type 2 diabetes and confirmed SARS-CoV-2 infection were evaluated. Clinical scores were calculated at admission and five days post-symptom onset, with data analyzed using receiver operating characteristic (ROC) curves and logistic regression to determine areas under the curve (AUC) and hazard ratios (HR) for severe outcomes. Among the 141 diabetic patients studied, ROC analysis revealed high AUC values for SOFA (0.771 at admission, 0.873 at day five) and NEWS2 (0.892 at admission, 0.729 at day five), indicating strong predictive accuracy for these scores. The APACHE II score's AUC improved from 0.698 at admission to 0.806 on day five, reflecting worsening patient conditions. Regression analysis showed significant HRs associated with exceeding threshold scores: The SOFA score HR at day five was 3.07 (95% CI: 2.29-4.12,

Indexed as

COVID-19diabetes mellitusSARS-CoV-2

Identifiers

PMID39202059
PMCPMC11355465

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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.