Evidence map›Paper›PMID 37645558›Full record

ArticleInfection and drug resistance2023

Epidemiological Characteristics and Outcomes Predictors for Intensive Care Unit COVID-19 Patients in Al-Madinah, Saudi Arabia. Retrospective Cohort Study.

Sari T Alhoufie, Walaa A Mumena, Naif Alsharif, Hatim M Makhdoom, Yahya A Almutawif, Khalid O Alfarouk, Mohammed Z Alharbi, Khaled Aljabri, Alanoud Aljifri

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Sari T AlhoufieMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Munwarah, Saudi Arabia.
Walaa A MumenaDepartment of Clinical Nutrition, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Munwarah, Saudi Arabia.
Naif AlsharifKing Salman Medical City, Al-Madinah General Hospital, Al-Madinah Al-Munwarah, Saudi Arabia.
Hatim M MakhdoomMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Munwarah, Saudi Arabia.
Yahya A AlmutawifMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Munwarah, Saudi Arabia.ORCID 0000-0002-5654-6139
Khalid O AlfaroukZamzam University College, Khartoum, Sudan.ORCID 0000-0001-8656-6117
Mohammed Z AlharbiKing Salman Medical City, Al-Madinah General Hospital, Al-Madinah Al-Munwarah, Saudi Arabia.
Khaled AljabriKing Salman Medical City, Al-Madinah General Hospital, Al-Madinah Al-Munwarah, Saudi Arabia.
Alanoud AljifriAl-Madinah Health Cluster, Ministry of Health, Al-Madinah Al-Munwarah, Saudi Arabia.
Taibah University · SAMinistry of Health · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) increased the demand for intensive care unit (ICU) services. Mortality and morbidity rates among ICU COVID-19 patients are affected by several factors, such as severity, comorbidities, and coinfections. In this study, we describe the demographic characteristics of COVID-19 patients admitted to an ICU in Saudi Arabia, and we determined the predictors for mortality and prolonged ICU length of stay. Additionally, we determined the prevalence of bacterial coinfection and its effect on the outcomes for ICU COVID-19 patients. Methods: We retrospectively studied the medical records of 142 COVID-19 patients admitted to the ICU at a tertiary hospital in Madinah, Saudi Arabia. Data on demographics, medical history, mortality, length of stay, and presence of coinfection were collected for each patient. Results: Neutrophil-to-Lymphocyte ratio (NLR) and intubation were reliable predictors of mortality and ICU length of stay among these ICU COVID-19 patients. Moreover, bacterial coinfections were detected in 23.2% of the patients and significantly (p < 0.001) prolonged their ICU length of stay, explaining the 10% increase in the length of stay for these patients. Furthermore, mortality reached 70% among the coinfected patients, and 60.8% of the isolated coinfecting pathogens were multidrug-resistant (MDR) strains of Conclusion: Increased NLR and intubation are predictors of mortality and prolonged length of stay in COVID-19 patients admitted to the ICU. Coinfection with MDR bacterial strains potentially results in complications and is a high-risk factor for prolonged ICU length of stay.

Indexed as

Al-MadinahcoinfectionCOVID-19ICU length of stayMDR bacteriamortalityneutrophil-to-lymphocyte ratioSaudi Arabia

Identifiers

PMID37645558
PMCPMC10461755
OpenAlexW4386087275

What OpenQuestion holds

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LicenceCC BY-NC
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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.