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ORIGINAL ARTICLE
Year : 2014  |  Volume : 4  |  Issue : 1  |  Page : 29-34

Assessment of performance and utility of mortality prediction models in a single Indian mixed tertiary intensive care unit


Department of Critical Care Medicine, Grant Medical Foundation, Ruby Hall Clinic, Pune, Maharashtra, India

Correspondence Address:
Sharda N Bapat
E-2/5 Girija Shankar Vihar, Karve Nagar, Pune - 411 052, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2229-5151.128010

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Objectives: To assess the performance and utility of two mortality prediction models viz. Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) in a single Indian mixed tertiary intensive care unit (ICU). Secondary objectives were bench-marking and setting a base line for research. Materials and Methods: In this observational cohort, data needed for calculation of both scores were prospectively collected for all consecutive admissions to 28-bedded ICU in the year 2011. After excluding readmissions, discharges within 24 h and age <18 years, the records of 1543 patients were analyzed using appropriate statistical methods. Results: Both models overpredicted mortality in this cohort [standardized mortality ratio (SMR) 0.88 ± 0.05 and 0.95 ± 0.06 using APACHE II and SAPS II respectively]. Patterns of predicted mortality had strong association with true mortality (R2 = 0.98 for APACHE II and R2 = 0.99 for SAPS II). Both models performed poorly in formal Hosmer-Lemeshow goodness-of-fit testing (Chi-square = 12.8 (P = 0.03) for APACHE II, Chi-square = 26.6 (P = 0.001) for SAPS II) but showed good discrimination (area under receiver operating characteristic curve 0.86 ± 0.013 SE (P < 0.001) and 0.83 ± 0.013 SE (P < 0.001) for APACHE II and SAPS II, respectively). There were wide variations in SMRs calculated for subgroups based on International Classification of Disease, 10 th edition (standard deviation ± 0.27 for APACHE II and 0.30 for SAPS II). Interpretation and Conclusion: Lack of fit of data to the models and wide variation in SMRs in subgroups put a limitation on utility of these models as tools for assessing quality of care and comparing performances of different units without customization. Considering comparable performance and simplicity of use, efforts should be made to adapt SAPS II.


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