Predictive validity of the quick Sequential Organ Failure Assessment (qSOFA) score for the mortality in patients with sepsis in Vietnamese intensive care units
Adult
Adolescent
Organ Dysfunction Scores
Epidemiology
Science
Cutoff
Logistic regression
Receiver operating characteristic
Critical Care and Intensive Care Medicine
Quantum mechanics
03 medical and health sciences
0302 clinical medicine
Asian People
Management of Ventilator-associated Pneumonia in ICU Patients
Sepsis
Health Sciences
Humans
Predictive value of tests
Intensive care medicine
Hospital Mortality
SOFA score
Internal medicine
Retrospective Studies
Area under the curve
Optimization of Perioperative Fluid Therapy
Physics
Q
R
Prognosis
3. Good health
Intensive Care Units
Cross-Sectional Studies
ROC Curve
Vietnam
Intensive care
ICU
Epidemiology and Management of Sepsis and Septic Shock
Medicine
Emergency medicine
Surgery
Research Article
DOI:
10.1371/journal.pone.0275739
Publication Date:
2022-10-14T18:03:23Z
AUTHORS (25)
ABSTRACT
Background
The simple scoring systems for predicting the outcome of sepsis in intensive care units (ICUs) are few, especially for limited-resource settings. Therefore, this study aimed to evaluate the accuracy of the quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA) score in predicting the mortality of ICU patients with sepsis in Vietnam.
Methods
We did a multicenter cross-sectional study of patients with sepsis (≥18 years old) presenting to 15 adult ICUs throughout Vietnam on the specified days (i.e., 9th January, 3rd April, 3rd July, and 9th October) representing the different seasons of 2019. The primary and secondary outcomes were the hospital and ICU all-cause mortalities, respectively. The area under the receiver operating characteristic curve (AUROC) was calculated to determine the discriminatory ability of the qSOFA score for deaths in the hospital and ICU. The cut-off value of the qSOFA scores was determined by the receiver operating characteristic curve analysis. Upon ICU admission, factors associated with the hospital and ICU mortalities were assessed in univariable and multivariable logistic models.
Results
Of 252 patients, 40.1% died in the hospital, and 33.3% died in the ICU. The qSOFA score had a poor discriminatory ability for both the hospital (AUROC: 0.610 [95% CI: 0.538 to 0.681]; cut-off value: ≥2.5; sensitivity: 34.7%; specificity: 84.1%; PAUROC = 0.003) and ICU (AUROC: 0.619 [95% CI: 0.544 to 0.694]; cutoff value: ≥2.5; sensitivity: 36.9%; specificity: 83.3%; PAUROC = 0.002) mortalities. However, multivariable logistic regression analyses show that the qSOFA score of 3 was independently associated with the increased risk of deaths in both the hospital (adjusted odds ratio, AOR: 3.358; 95% confidence interval, CI: 1.756 to 6.422) and the ICU (AOR: 3.060; 95% CI: 1.651 to 5.671).
Conclusion
In our study, despite having a poor discriminatory value, the qSOFA score seems worthwhile in predicting mortality in ICU patients with sepsis in limited-resource settings.
Clinical trial registration
Clinical trials registry–India: CTRI/2019/01/016898
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