Evidence map›Paper›PMID 36111328›Full record

ArticleCureus2022

Clinical Characteristics, Complications, and Predictors of Poor Outcome Among Hospitalized Adult COVID-19 Patients: A Retrospective Cohort Study.

Tariq Abdulrahman Tabbakh, Hashem H Alhashemi, Khalid Alharbi, Sultan Qanash, Mohammed S Alzahrani, Ahmed Saati, Samaher Alsulami, Atheer Alsulami, Alfaisal Neyazi, Abdullah Alzahrani and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 44% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

13 authors at 3 institutions in 1 country.

Tariq Abdulrahman TabbakhMedicine, Ministry of National Guard-Health Affairs, Jeddah, SAU.
Hashem H AlhashemiMedicine, Ministry of National Guard-Health Affairs, Jeddah, SAU.
Khalid AlharbiMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Sultan QanashMedicine, Ministry of National Guard-Health Affairs, Jeddah, SAU.
Mohammed S AlzahraniMedicine, Ministry of National Guard-Health Affairs, Jeddah, SAU.
Ahmed SaatiMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Samaher AlsulamiMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Atheer AlsulamiMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Alfaisal NeyaziMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Abdullah AlzahraniMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Ziad A TaherMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Ghala AljedaaniMedicine, King Abdulaziz Medical City, Jeddah, SAU.
Abdulkareem AlhejailiMedicine, King Abdulaziz Medical City, Jeddah, SAU.
King Abdulaziz Medical City · SAKing Saud bin Abdulaziz University for Health Sciences · SANational Guard Health Affairs · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Many international studies have reported the outcomes and predictors of coronavirus disease 2019 (COVID-19); however, only a few national studies have reported predictors of poor outcomes among adult hospitalized patients with COVID-19. Therefore, this study aimed to describe the clinical characteristics and complications of COVID-19 and identify predictors of poor outcomes. Methods This was a retrospective cohort study. All adult patients confirmed with COVID-19 who were admitted at the King Abdulaziz Medical City (KAMC)-Jeddah between March 1, 2020, and December 31, 2020, were included; pediatric and pregnant patients were excluded. The clinical features and complications of COVID-19 were tested for association with poor outcomes (intensive care unit [ICU] admission or death) using chi-square and Fisher's exact tests. In addition, logistic regression analysis was performed to identify the predictors of poor outcomes. Results A total of 527 patients were included in this study. Forty-two patients (8%) (6-10, 95% confidence interval [CI]) died: 13 in the general wards and 29 in the ICU. Of the 84 patients admitted to the ICU, 65 underwent invasive mechanical ventilation. Poor outcome affected 97 patients (18%) (15-22, 95% CI). Shortness of breath, oxygen saturation <92%, and abnormal chest x-ray findings were associated with poor outcomes (P-value < 0.001). In addition, lymphocyte counts were significantly lower, while c-reactive protein levels were significantly higher among patients with poor outcomes (P-value < 0.001). The most common complications were acute cardiac (83 patients, 16%), acute kidney (78 patients, 15%), and liver injuries (76 patients, 14%). Predictors of poor outcome were the updated Charlson comorbidity index (CCI) (odds ratio [OR] 1.2 [95% CI 1.1-1.4]), liver injury (OR 2.6 [95% CI 1.3-4.9]), acute kidney injury (OR 4.3 [95% CI 2.3-7.8]), and acute cardiac injury (OR 5.1 [95% CI 2.8-9.4]). Conclusions COVID-19 disease is associated with significant morbidity and mortality. Predictors of poor outcomes among COVID-19 hospitalized patients were the updated CCI, liver injury, acute kidney, and acute myocardial injuries. Subsequently, the risk of poor COVID-19 outcomes is increased among patients with multiple comorbidities and/or multiple COVID-19 complications.

Indexed as

covid-19intensive care unitoutcomepredictorsupdated charlson comorbidity index

Identifiers

PMID36111328
PMCPMC9462886
OpenAlexW4294970535

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.