Evidence map›Paper›PMID 35818560›Full record

ArticleAnnals of medicine and surgery (2012)2022

Predictors of intensive care unit admission and mortality in SARS-CoV-2 infection: A cross sectional study at a tertiary care hospital.

Ahmed Alkhamis, Yousef Alshamali, Wassim Chehadeh, Amar Jasem, Abdulaziz Alsayed Omar, Mohammad Alghounaim, Hussein Elsaaran, Sarah Al-Youha, Sulaiman Almazeedi, Moh A Alkhamis and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Ahmed AlkhamisDepartment of Surgery, Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait.
Yousef AlshamaliDepartment of Medicine, Jaber Al-Ahmad Hospital, Kuwait.
Wassim ChehadehDepartment of Microbiology, Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait.
Amar JasemDepartment of Medicine, Jaber Al-Ahmad Hospital, Kuwait.
Abdulaziz Alsayed OmarDepartment of Medicine, Jaber Al-Ahmad Hospital, Kuwait.
Mohammad AlghounaimDepartment of Pediatrics, Amiri Hospital, Kuwait City, Kuwait.
Hussein ElsaaranDepartment of Surgery, Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait.
Sarah Al-YouhaDepartment of Surgery, Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait.
Sulaiman AlmazeediDepartment of Surgery, Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait.
Moh A AlkhamisDepartment of Epidemiology and Biostatistics, Faculty of Public Health, Health Sciences Center, Kuwait University, Kuwait.
Salman AlsabahDepartment of Surgery, Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait.
Kuwait University · KWAmiri Hospital · KW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The transmissibility and associated morbidity and mortality of severe acute respiratory syndrome-related coronavirus (SARS-Cov-2), have overwhelmed worldwide healthcare systems, resulting in an urgent need to understand this virus and its associated effects. The aim of our study was to identify patient symptoms, clinical characteristics, laboratory, and radiology findings that are associated with serious morbidity and mortality in COVID-19 patients. Methods: A cross sectional study was conducted in Jaber Al Ahmad Hospital, the designated COVID-19 center in Kuwait between August 1st, 2020 and January 31st, 2021. The main outcomes measured in this study were to identify variables associated with intensive care unit (ICU) admission, as proxy for serious morbidity, and in hospital mortality. Results: Two hundred and seventy-six patients were included in the study. Thirty-six (13%) patients were admitted to intensive care unit (ICU) and 33 (12%) patients expired. On multivariate analysis we found having elevated fibrinogen [OR 1.39, 95% CI 1.08-1.64, P = 0.04], low estimated glomerular filtration rate (eGFR) [OR 0.89, 95% CI 0.81-0.95, P = 0.02], and having bilateral patchy lung shadowing [OR 6.68, 95% CI 1.85-15.28, P < 0.01] to be significantly associated with increase odds of ICU admission. Elevated CRP [OR 1.25, 95% CI 1.10-1.98, P < 0.01], low eGFR [OR 0.95, 95% CI 0.90-0.99, P = 0.05] and having ischemic heart disease [OR 7.03, 95% CI 1.60-46.42, P = 0.04] were independently associated with increased odds of mortality. Conclusion: Certain inflammatory and coagulopathy markers, and having certain lung radiological features, in addition to having medical comorbidities, specifically, ischemic heart disease and renal impairment are key predictors for serious morbidity and mortality in patients infected with COVID-19. These should be incorporated into medical institutes risk assessment tools used by physicians and policy makers to instigate, prioritize, and reprioritize care in patients with COVID-19 and instigate preventative strategy to reduce the impact of future outbreak.

Indexed as

COVD-19Intensive care unitMorbidityMortalityStool

Identifiers

PMID35818560
PMCPMC9259005
OpenAlexW4284880252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.