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An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease
Rong Xu1, Keke Hou2, Kun Zhang1
1Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China.
Insights
The new MuLBSTA score effectively identifies severe COVID-19 patients at risk for intensive care unit (ICU) admission and death. This tool aids early risk stratification for better patient outcomes in coronavirus disease 2019 (COVID-19) cases.
Area of Science:
- Infectious Diseases
- Critical Care Medicine
- Medical Informatics
Background:
- Coronavirus disease 2019 (COVID-19) poses challenges due to a lack of rapid risk stratification tools for severe cases.
- Effective prediction of poor outcomes in COVID-19 patients remains a critical unmet need.
Purpose of the Study:
- To evaluate the efficacy of the novel Multi-lobular infiltration, hypo-Lymphocytosis, Bacterial coinfection, Smoking history, hyper-Tension and Age (MuLBSTA) Score for predicting severe COVID-19 outcomes.
- To compare the MuLBSTA score with the Confusion, Urea, Respiratory rate, Blood pressure, Age 65 (CURB65) score in risk stratification.
Main Methods:
- Retrospective analysis of 117 hospitalized COVID-19 patients.
- Calculation and comparison of MuLBSTA and CURB65 scores for predicting intensive care unit (ICU) admission and mortality.
- Receiver operating characteristic (ROC) curve analysis and Kaplan-Meier (K-M) survival analysis.
Main Results:
- The MuLBSTA score demonstrated high diagnostic efficiency for predicting death (AUC, 0.956) and ICU care (AUC, 0.875).
- Patients with a MuLBSTA score ≥ 12 were all severe cases, with significantly higher rates of ICU admission and death compared to CURB65.
- K-M survival analysis confirmed that a MuLBSTA score ≥ 12 is associated with a higher risk of ICU admission (P = 0.001) and death (P = 0.000).
Conclusions:
- The MuLBSTA score is a valuable tool for the rapid risk stratification of COVID-19 patients upon admission.
- It effectively screens high-risk individuals who are likely to require ICU care or succumb to the infection.
- The MuLBSTA score offers superior predictive performance compared to CURB65 for severe COVID-19 outcomes.
Abstract:
Background: Despite an increase in the familiarity of the medical community with the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19), there is presently a lack of rapid and effective risk stratification indicators to predict the poor clinical outcomes of COVID-19 especially in severe patients. Methods: In this retrospective single-center study, we included 117 cases confirmed with COVID-19. The clinical, laboratory, and imaging features were collected and analyzed during admission. The Multi-lobular infiltration, hypo-Lymphocytosis, Bacterial coinfection, Smoking history, hyper-Tension and Age (MuLBSTA) Score and Confusion, Urea, Respiratory rate, Blood pressure, Age 65 (CURB65) score were used to assess the death and intensive care unit (ICU) risks in all patients. Results: Among of all 117 hospitalized patients, 21 (17.9%) patients were admitted to the ICU care, and 5 (4.3%) patients were died. The median hospital stay was 12 (10-15) days. There were 18 patients with MuLBSTA score ≥ 12 points and were all of severe type. In severe type, ICU care and death patients, the proportion with MuLBSTA ≥ 12 points were greater than that of CURB65 score ≥ 3 points (severe type patients, 50 vs. 27.8%; ICU care, 61.9 vs. 19.0%; death, 100 vs. 40%). For the MuLBSTA score, the ROC curve showed good efficiency of diagnosis death (area under the curve [AUC], 0.956; cutoff value, 12; specificity, 89.5%; sensitivity, 100%) and ICU care (AUC, 0.875; cutoff value, 11; specificity, 91.7%; sensitivity, 71.4%). The K-M survival analysis showed that patients with MuLBSTA score ≥ 12 had higher risk of ICU (log-rank, P = 0.001) and high risk of death (log-rank, P = 0.000). Conclusions: The MuLBSTA score is valuable for risk stratification and could effectively screen high-risk patients at admission. The higher score at admission have higher risk of ICU care and death in patients infected with COVID.
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