Prognostic scoring for critically ill hospitalized patients

Area of Science:

• Critical Care Medicine
• Prognostic Modeling
• Health Services Research

Background:

• The APACHE II (Acute Physiology and Chronic Health Evaluation II) system is a widely used prognostic tool in intensive care.
• Validating and refining prognostic scores in specific regional contexts, like India, is crucial for accurate patient risk stratification.
• Existing scores may require adaptation to local patient demographics and healthcare settings.

Purpose of the Study:

• To validate and refine the APACHE II prognostic system within the Indian medical intensive care unit (MICU) setting.
• To develop an improved bedside risk prediction score for hospital mortality.
• To enhance the accuracy of prognostic assessment in critically ill Indian patients.

Main Methods:

• Prospective data collection from 79 patients admitted to a medical intensive care unit.
• Evaluation of the APACHE II system alongside 11 additional physiological variables.
• Development of a novel prognostic score incorporating pH, serum albumin, heart rate, bilirubin, and Glasgow Coma Scale at specific time points.

Main Results:

• The newly developed score demonstrated a pseudo R-squared value of 0.43, significantly outperforming APACHE II.
• APACHE II scores on admission and at 48 hours yielded pseudo R-squared values of 0.02 and 0.12, respectively.
• A new score below 3.5 was independently associated with a statistically significant increase in the risk of hospital death.

Conclusions:

• The refined prognostic score offers superior risk prediction for hospital mortality in the Indian MICU context compared to APACHE II.
• The proposed bedside score is a valuable tool for improving clinical decision-making and resource allocation.
• Further validation of this score in diverse Indian healthcare settings is warranted.