Evidence map›Paper›PMID 34153731›Full record

Observational studyJournal of infection and public health2021

Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia.

Olayan Albalawi, Yousef Alharbi, Mohsen Bakouri, Abdulrahman Alqahtani, Thamer Alanazi, Abdullah Z Almutairi, Bandar Alosaimi, Ayman Mubarak, Ranjay K Choudhary, Wael Alturaiki

Abstract readObservational Study
In one paragraph

Observational study in Journal of infection and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. An Elderly COVID-19 Patient with Community-AcquiredHealthcare (Basel, Switzerland) · 2021
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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

10 authors.

Olayan AlbalawiDepartment of Statistic, Faculty of Science, University of Tabuk, Tabuk 47512, Saudi Arabia. Electronic address: oalbalwi@ut.edu.sa.
Yousef AlharbiDepartment of Medical Equipment Technology, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia. Electronic address: y.alharbi@psau.edu.sa.
Mohsen BakouriDepartment of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi Arabia; Department of Physics, College of Arts, Fezzan University, Traghen City 71340, Libya; Health and Basic Sciences Research Center, Majmaah University, Majmaah 11952, Saudi Arabia. Electronic address: m.bakouri@mu.edu.sa.
Abdulrahman AlqahtaniDepartment of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi Arabia. Electronic address: a.alqahtani@mu.edu.sa.
Thamer AlanaziDepartment of Pathology and Laboratory Medicine, King Abdullah Bin Abdulaziz University Hospital, PNU, Riyadh, Saudi Arabia. Electronic address: thabalanazi@moh.gov.sa.
Abdullah Z AlmutairiLaboratory and Blood Bank, King Fahad Hospital, Medina, Saudi Arabia. Electronic address: Abdullahza@moh.gov.sa.
Bandar AlosaimiDepartment of Research Labs, Research Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia. Electronic address: balosaimi@kfmc.med.sa.
Ayman MubarakDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia. Electronic address: aymubarak@ksu.edu.sa.
Ranjay K ChoudharyDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia. Electronic address: r.choudhary@mu.edu.sa.
Wael AlturaikiDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia. Electronic address: w.alturaiki@mu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe new coronavirus disease (COVID-19) has caused more than 1.8 million deaths, with a fatality rate of 2.5% in more than 200 countries as of January 4, 2021. Analysis of COVID-19 clinical features can help predict disease severity and risk of mortality, early identification of high-risk patients, and provide knowledge to inform clinical interventions.

objectiveThe purpose of this study is to investigate the clinical characteristics and possible predictors associated with mortality in patients with COVID-19 admitted to King Fahad (KFH), Ohood, and Miqat hospitals in Madina, Saudi Arabia.

methodsThis retrospective observational study to investigate the clinical characteristic and possible predictors associated with mortality for those 119 mild, moderate, or critically ill patients confirmed by laboratory results to have COVID-19 who were admitted to three hospitals in Madina, Saudi Arabia, from March 25, 2020, to July 30, 2020. Data were collected from December 1, 2020, to December 14, 2020.

resultsOf the 119 patients included in the study, the mean age was 54.2 (±15.7) years, with 78.2% survivors and 21.8% non-survivors. The demographic analysis indicated that the likelihood of mortality for patients in the older age group (i.e., ≥65 years) was five times higher than those in the younger age group (OR = 5.34, 95% CI 1.71-16.68, p = 0.004). The results also indicated those patients who admitted to the intensive care unit (ICU) was approximately seven times higher odds of mortality compare with those who were not admitted (OR = 6.48, 95% CI 2.52-16.63, p < 0.001). In addition, six laboratory parameters were positively associated with the odds of mortality: white blood cell count (OR = 1.11, 95% CI 1.02-1.21, p = 0.018), neutrophil (OR = 1.11, 95% CI 1.02-1.22, p = 0.020), creatine kinase myocardial band (OR = 1.02, 95% CI 1.00-1.03, p = 0.030), C-reactive protein (OR = 1.01, 95% CI 1.00-1.01, p = 0.002), urea (OR = 1.06, 95% CI 1.01-1.11, p = 0.026), and lactate dehydrogenase (OR = 1.00, 95% CI 1.00-1.01, p = 0.020).

conclusionsIn this cohort, COVID-19 patients within the older age group (≥65 years) admitted to the ICU with increased C-reactive protein levels in particular, were associated with increased odds of mortality. Further clinical observations are warranted to support these findings and enhance the mapping and control of this pandemic.

Indexed as

COVID-19AgedHumansIntensive Care UnitsMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Saudi ArabiaClinical characteristicsCoronavirusCOVID-19Data analysisSaudi Arabia

Identifiers

PMID34153731
PMCPMC8192299

What OpenQuestion holds

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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.