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Eurasian Journal of Medicine and Oncology Utility of the Therapeutic Intervention Scoring System-28 to Predict Mortality in Intensive Care Units [EJMO]
EJMO. 2018; 2(1): 35-39 | DOI: 10.14744/ejmo.2017.00719

Utility of the Therapeutic Intervention Scoring System-28 to Predict Mortality in Intensive Care Units

Yasemin Tekdos Seker, Oya Hergunsel, Ipek Bostanci, Ayten Zeydan
Department of Anesthesia, University of Health Sciences, Bakırkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey

Objectives: We compared the commonly used Acute Physiology and Chronic Health Evaluation (APACHE) II score and Sequential Organ Failure Assessment (SOFA) score with the quicker and easier Therapeutic Intervention Scoring System (TISS)-28) to examine mortality in intensive care units (ICUs).
Methods: Patients treated in the ICU at Bakirköy Dr. Sadi Konuk Research and Training Hospital between May 2012 and January 2017 were included in the present study. Patients who made a full recovery and were discharged were defined as group 1, whereas those who died were defined as group 2. TISS-28 scores recorded twice in the first 24 h and APACHE II and SOFA scores recorded at the end of 24 h were evaluated. The groups were compared based on demographic data; duration of nursing (h/day); and TISS-28, APACHE II, and SOFA scores.
Results: Of 2191 patients in this 5-year study, 1405 (64%; group 1) were discharged from the ICU and 786 (36%; group 2) died. There was no significant difference in age between the two groups. The median TISS-28 score was 17 in group 1 and 25 in group 2. The median APACHE II score was 18 in group 1 and 29 in group 2. The median SOFA score was 6 in group 1 and 8 in group 2. All three scores were significantly higher in group 2.
Conclusion: TISS-28 scores correlated with APACHE II and SOFA scores, predicting mortality.

Keywords: Disease severity score, predicted mortality, TISS-28

Yasemin Tekdos Seker, Oya Hergunsel, Ipek Bostanci, Ayten Zeydan. Utility of the Therapeutic Intervention Scoring System-28 to Predict Mortality in Intensive Care Units. EJMO. 2018; 2(1): 35-39

Corresponding Author: Yasemin Tekdos Seker, Türkiye
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