ArticlePLOS global public health2022
Validation of MuLBSTA score to derive modified MuLB score as mortality risk prediction in COVID-19 infection.
Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Predictive Value of the CURB-65, MuLBSTA, Pneumonia Severity Index Scores and Laboratory Parameters for In-Hospital Mortality in Patients with Diabetes Mellitus and COVID-19 Infection.Journal of clinical medicine · 2026Article
- Predictability of Severity Scores in Patients over 70 Years Old with COVID-19 Infection: Results from a Single-Center Retrospective Observational Study.Journal of clinical medicine · 2026Article
- Severity Scores in SARS-CoV-2 Infection-A Comprehensive Bibliometric Review and Visualization Analysis.Epidemiologia (Basel, Switzerland) · 2026Review
- Performance of the 4C and SEIMC scoring systems in predicting mortality from onset to current COVID-19 pandemic in emergency departments.Scientific reports · 2024Observational
- Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality.Biomedical reports · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19pandemic was started in December 2019. It has variable presentation from mild sore throat to severe respiratory distress. It is important to identify individuals who are likely to worsen. The Research question is how to identify patients with COVID-19 who are at high risk and to predict patient outcome based on a risk stratification model? We evaluated 251 patients with COVID-19 in this prospective inception study. We used a multi-variable Cox proportional hazards model to identify the independent prognostic risk factors and created a risk score model on the basis of available MuLBSTA score. The model was validated in an independent group of patients from October2020 to December 2021. We developed a combined risk score, the MuLBA score that included the following values and scores: Multi lobar infiltrates (negative0.254, 2), lymphopenia (lymphocytes of <0.8x109 /L, negative0.18,2), bacterial co- infection (negative, 0.306,3). In our MuLB scoring system, score of >8 was associated with high risk of mortality and <5 was at mild risk of mortality (P < 0.001). The interpretation was that The MuLB risk score model could help to predict survival in patients with severe COVID-19 infection and to guide further clinical research on risk-based treatment.
Identifiers
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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.