ArticleJournal of clinical laboratory analysis2022
Prognostic factors for predicting severity and mortality in hospitalized COVID-19 patients.
Article in Journal of clinical laboratory analysis, 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.
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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The association between mortality due to COVID-19 and coagulative parameters: a systematic review and meta-analysis study.BMC infectious diseases · 2024Pooled it
- Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension.Rheumatology international · 2026Article
- Inflammation and Venous Thromboembolism in Hospitalized Patients with COVID-19.Diagnostics (Basel, Switzerland) · 2023Article
- Predictors of mortality and ICU requirement in hospitalized COVID-19 patients with diabetes: A multicentre study.Nursing open · 2023Article
- Status of Inflammatory and Coagulation Factors in COVID-19 and Its Relation with the Disease Severity.Tanaffos · 2023Article
- Article
- Effects of the COVID-19 pandemic on the activity of clinical laboratories in Spain, evolution in the 2019-2021 period.Advances in laboratory medicine · 2022Article
- Prognostic factors for predicting severity and mortality in hospitalized COVID-19 patients.Journal of clinical laboratory analysis · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019, COVID-19, has reached all the corners of the world and was declared by the WHO as a global pandemic and public health emergency of international concern on the January 31, 2020. Allocating quick and specific biomarkers to predict the disease severity upon admission to hospital became a crucial need. This study, therefore, aimed at exploring the relationship between laboratory results in COVID-19 patients admitted to hospital and the final outcome in these patients.
methodsRetrospective analysis was performed on the medical records of 310 COVID-19-positive patients admitted to Uhod Hospital, the referral hospital in the area of Madinah, Kingdom of Saudi Arabia, between the April 13 and the July 29, 2020. The association of laboratory results with the survival/mortality outcomes was studied.
resultsIt was demonstrated that lymphopenia, prolonged aPTT, high INR, high D. dimer and high CK are valuable prognostic predictors of the severity of the disease at early stages that can determine the outcome. Based on the results of the multiple logistic regression, the variables that are associated with death outcome are aPTT, HR, RR, ALT and CK level
conclusionIt is proposed to perform these tests on admission to hospital for moderate to severe COVID-19 patients to improve the management of those cases and reduce mortality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.