Comparison of SAPS III and SOFA score for the prediction of mortality among ICU patients.

Farhan, Ahmed; Ali, Syed; Mansoor, Valeed Bin; Chaudhary, Rabail; Rehman, Hassan Ur

doi:10.29052/ijehsr.v9.i4.2021.437-442

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Sepsis is among the greatest challenges managed by emergency doctors, responsible for increasing visits of patients to the emergency department, admissions in the emergency department as well as in intensive care units followed by a prolonged stay in the hospital, increased health care expenditures and also increases the mortality rate 13,14 . In most cases, sepsis presented with a variety of clinical indications that make it difficult for physicians to diagnose sepsis early that ultimately results in the progression of sepsis, development of its complications, and finally, death [15][16][17] .…”

Section: Discussionmentioning

confidence: 99%

Combined accuracy of Procalcitonin and Quick Sequential Organ Failure Assessment (qSOFA) in predicting 3-days in-hospital mortality in suspected sepsis.

Memon

Butt

Khalid

et al. 2021

Int. j. endorsing health sci. res.

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Background: Early identification of sepsis is important for initiating appropriate treatment for decreasing the risk of in-hospital mortality. To determine the diagnostic accuracy of procalcitonin (PCT) and quick sequential organ failure assessment (qSOFA) in predicting 3-days in-hospital mortality in suspected sepsis. Methodology: A cohort study was conducted at the emergency department of Ziauddin University Hospital, Karachi. One-hundred and thirty-two suspected cases of sepsis having age 18-75 years were selected through convenience sampling. PCT level and qSOFA score were obtained for predicting 3-days in-hospital mortality. Results: Of the study patient, 50.8% were male, and 49.2% were female, with a mean age of 53.7 ± 18.3 years. The mean qSOFA score was 1.8 ± 0.5, and the mean PCT level was 2.7 ± 12.5 ng/ml. The combined QSOFA and PCT 3-days in-hospital mortality prediction was 31.1%, while the actual mortality rate was 28.0%. The combined qSOFA score and PCT level sensitivity was 62.2%, specificity 81.1%, positive predicted value 56.1%, negative predicted value 84.7%, and diagnostic accuracy 75.8%. Conclusion: The combined use of QSOFA and PCT improves the 3-day in-hospital mortality prediction in suspected cases of sepsis.

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Section: Discussionmentioning

confidence: 99%

Combined accuracy of Procalcitonin and Quick Sequential Organ Failure Assessment (qSOFA) in predicting 3-days in-hospital mortality in suspected sepsis.

Memon

Butt

Khalid

et al. 2021

Int. j. endorsing health sci. res.

View full text Add to dashboard Cite

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Early Mortality Prediction in Intensive Care Unit Patients Based on Serum Metabolomic Fingerprint

Araújo,

Ramalhete,

Von Rekowski

et al. 2024

IJMS

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Predicting mortality in intensive care units (ICUs) is essential for timely interventions and efficient resource use, especially during pandemics like COVID-19, where high mortality persisted even after the state of emergency ended. Current mortality prediction methods remain limited, especially for critically ill ICU patients, due to their dynamic metabolic changes and heterogeneous pathophysiological processes. This study evaluated how the serum metabolomic fingerprint, acquired through Fourier-Transform Infrared (FTIR) spectroscopy, could support mortality prediction models in COVID-19 ICU patients. A preliminary univariate analysis of serum FTIR spectra revealed significant spectral differences between 21 discharged and 23 deceased patients; however, the most significant spectral bands did not yield high-performing predictive models. By applying a Fast-Correlation-Based Filter (FCBF) for feature selection of the spectra, a set of spectral bands spanning a broader range of molecular functional groups was identified, which enabled Naïve Bayes models with AUCs of 0.79, 0.97, and 0.98 for the first 48 h of ICU admission, seven days prior, and the day of the outcome, respectively, which are, in turn, defined as either death or discharge from the ICU. These findings suggest FTIR spectroscopy as a rapid, economical, and minimally invasive diagnostic tool, but further validation is needed in larger, more diverse cohorts.

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Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores

Mohamed,

Moni,

Sathyapalan

et al. 2024

Indian Journal of Critical Care Medicine

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A bstract Background Sepsis, a life-threatening condition characterized by a dysregulated immune response to infection, remains a significant clinical challenge globally. This study aims to enhance the predictive accuracy of existing sepsis severity scores by developing augmented versions of the SOFA and SAPS-III models, termed Pro-SOFA and Pro-SAPS, through the integration of biomarkers procalcitonin (PCT), neutrophil-to-lymphocyte ratio (NLR), and C-reactive protein (CRP). Methods This prospective observational study was conducted in the medical ICU of a tertiary care hospital in southern India from August 2022 to December 2023. A total of 301 adult patients suspected or confirmed to have sepsis were assessed for eligibility, with 171 patients completing the study. Demographic and clinical data were collected; SOFA and SAPS-III scores were calculated and augmented with PCT, NLR, and CRP to develop Pro-SOFA and Pro-SAPS models. The performance of these models was evaluated using Brier scores, AUC, and net reclassification index (NRI). Results The augmented Pro-SOFA and Pro-SAPS models demonstrated superior predictive accuracy compared to their original counterparts. The Brier scores for Pro-SOFA and Pro-SAPS were 0.181 and 0.165, respectively, indicating better calibration than the original scores. The Pro-SAPS showed significant improvement over the original SAPS-III score (NRI = 0.50, SE = 0.14, p < 0.01). Similarly, Pro-SOFA outperformed the original SOFA (NRI = 0.49, SE = 0.13, p < 0.01). Conclusion and clinical significance Integrating PCT, CRP, and NLR with SOFA and SAPS-III scores to develop Pro-SOFA and Pro-SAPS significantly improves the predictive accuracy for sepsis mortality and can thus potentially improve sepsis outcomes. How to cite this article Nandakumar A, Sudeep S, Sreemohan AC, Vijayakumar S, Sudhakaran GJ, Gutjahr G, et al. Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores. Indian J Crit Care Med 2024;28(10):935–941.

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Comparison of SAPS III and SOFA score for the prediction of mortality among ICU patients.

Cited by 3 publications

References 16 publications

Combined accuracy of Procalcitonin and Quick Sequential Organ Failure Assessment (qSOFA) in predicting 3-days in-hospital mortality in suspected sepsis.

Combined accuracy of Procalcitonin and Quick Sequential Organ Failure Assessment (qSOFA) in predicting 3-days in-hospital mortality in suspected sepsis.

Early Mortality Prediction in Intensive Care Unit Patients Based on Serum Metabolomic Fingerprint

Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores

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