Evidence map›Paper›PMID 35262260›Full record

ArticleDiabetes/metabolism research and reviews2022

Development of a clinical risk score to predict death in patients with COVID-19.

Ghadeer Alhamar, Ernesto Maddaloni, Abdullah Al Shukry, Salman Al-Sabah, Mohannad Al-Haddad, Sarah Al-Youha, Mohammed Jamal, Sulaiman Almazeedi, Abdullah A Al-Shammari, Mohamed Abu-Farha and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes/metabolism research and reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. COVID-19 induced Diabetes: A novel presentation.Diabetes research and clinical practice · 2022
    Review
  7. Article
  8. 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

24 authors at 8 institutions in 2 countries.

Ghadeer AlhamarEndocrinology & Diabetes Unit, Campus Biomedico University of Rome, Rome, Italy.ORCID 0000-0002-4070-3099
Ernesto MaddaloniDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Abdullah Al ShukryDepartment of Otolaryngology & Head and Neck Surgery, Jaber Al-Ahmad Hospital, Ministry of Health, Safat, Kuwait.
Salman Al-SabahCOVID-19 Research Group, Jaber Al-Ahmad Al-Sabah Hospital, Kuwait City, Kuwait.
Mohannad Al-HaddadCOVID-19 Research Group, Jaber Al-Ahmad Al-Sabah Hospital, Kuwait City, Kuwait.
Sarah Al-YouhaCOVID-19 Research Group, Jaber Al-Ahmad Al-Sabah Hospital, Kuwait City, Kuwait.
Mohammed JamalCOVID-19 Research Group, Jaber Al-Ahmad Al-Sabah Hospital, Kuwait City, Kuwait.
Sulaiman AlmazeediCOVID-19 Research Group, Jaber Al-Ahmad Al-Sabah Hospital, Kuwait City, Kuwait.
Abdullah A Al-ShammariDasman Diabetes Institute, Kuwait City, Kuwait.
Mohamed Abu-FarhaDasman Diabetes Institute, Kuwait City, Kuwait.ORCID 0000-0001-8357-1252
Jehad AbubakerDasman Diabetes Institute, Kuwait City, Kuwait.ORCID 0000-0003-0681-7305
Abdulnabi T AlattarDasman Diabetes Institute, Kuwait City, Kuwait.
Ebaa AlOzairiDasman Diabetes Institute, Kuwait City, Kuwait.
Francesco AlessandriUmberto I "Policlinico" General Hospital, Sapienza University of Rome, Rome, Italy.
Luca D'OnofrioUmberto I "Policlinico" General Hospital, Sapienza University of Rome, Rome, Italy.ORCID 0000-0003-3905-0139
Gaetano LetoSanta Maria Goretti Hospital, Polo Pontino Sapienza University, Latina, Italy.
Carlo Maria MastroianniUmberto I "Policlinico" General Hospital, Sapienza University of Rome, Rome, Italy.
Carmen MignognaUmberto I "Policlinico" General Hospital, Sapienza University of Rome, Rome, Italy.
Giuseppe PascarellaDepartment of Anesthesia, Intensive Care and Pain Management, Campus Bio-Medico University of Rome, Rome, Italy.
Francesco PuglieseUmberto I "Policlinico" General Hospital, Sapienza University of Rome, Rome, Italy.
Hamad AliDasman Diabetes Institute, Kuwait City, Kuwait.
Fahd Al MullaDasman Diabetes Institute, Kuwait City, Kuwait.
Raffaella BuzzettiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.ORCID 0000-0003-1490-6041
Paolo PozzilliEndocrinology & Diabetes Unit, Campus Biomedico University of Rome, Rome, Italy.ORCID 0000-0001-5090-636X
Policlinico Umberto I · ITDasman Diabetes Institute · KWKuwait University · KWAl-Sabah Hospital · KWUniversità Campus Bio-Medico · ITAmiri Hospital · KWSapienza University of Rome · ITOspedale Santa Maria Goretti · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo build a clinical risk score to aid risk stratification among hospitalised COVID-19 patients.

methodsThe score was built using data of 417 consecutive COVID-19 in patients from Kuwait. Risk factors for COVID-19 mortality were identified by multivariate logistic regressions and assigned weighted points proportional to their beta coefficient values. A final score was obtained for each patient and tested against death to calculate an Receiver-operating characteristic curve. Youden's index was used to determine the cut-off value for death prediction risk. The score was internally validated using another COVID-19 Kuwaiti-patient cohort of 923 patients. External validation was carried out using 178 patients from the Italian CoViDiab cohort.

resultsDeceased COVID-19 patients more likely showed glucose levels of 7.0-11.1 mmol/L (34.4%, p < 0.0001) or >11.1 mmol/L (44.3%, p < 0.0001), and comorbidities such as diabetes and hypertension compared to those who survived (39.3% vs. 20.4% [p = 0.0027] and 45.9% vs. 26.6% [p = 0.0036], respectively). The risk factors for in-hospital mortality in the final model were gender, nationality, asthma, and glucose categories (<5.0, 5.5-6.9, 7.0-11.1, or 11.1 > mmol/L). A score of ≥5.5 points predicted death with 75% sensitivity and 86.3% specificity (area under the curve (AUC) 0.901). Internal validation resulted in an AUC of 0.826, and external validation showed an AUC of 0.687.

conclusionThis clinical risk score was built with easy-to-collect data and had good probability of predicting in-hospital death among COVID-19 patients.

Indexed as

COVID-19GlucoseHospital MortalityHumansPrognosisRetrospective StudiesRisk FactorsROC CurveGlucoseclinical risk scorecomorbiditiesCOVID-19glucose controlhyperglycemiaintensive care

Identifiers

PMID35262260
PMCPMC9087367
OpenAlexW4220804822

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.