UTILITY OF HAEMOGRAM PARAMETERS IN MORTALITY RISK PREDICTION OF CRITICALLY ILL PATIENTS
Journal Title: Journal of Evolution of Medical and Dental Sciences - Year 2018, Vol 7, Issue 8
Abstract
BACKGROUND Mortality risk prediction using varying factors is an emerging tool in medicine. Factors which predict mortality can help clinicians to triage the patients, modify the treatment accordingly and give special care to the patients. Different studies have used different parameters in different disease settings to predict mortality risk, evolving from simple blood counts to many sophisticated techniques. Although several of those clinical scores are available, they are found to be too complex for clinical use. Hence identifying a simple tool becomes essential. MATERIALS AND METHODS The study was performed in a tertiary care hospital. The study was a retrospective analysis of 100 patients who were admitted and expired in intensive care units. For comparison, 100 age and sex matched patients who had been admitted in ICU and recovered from the illness were taken as controls. Twelve haematological parameters have been analysed in both study and control groups. Parameters that proved significantly different between the groups were identified and cut off derived using Receiver operating characteristic analysis. Binary logistic regression models were also plotted to identify additional parameters that were significant. RESULTS Of twelve haematological parameters analysed, significant differences were identified in RDW, TLC, ANC and neutrophillymphocyte ratio by univariate analysis. Patients with cut-off values RDW ≥14.65%, TLC≥12000/cumm, ANC≥9156/cumm and NLR≥5 can predict mortality in critically ill patients with sensitivity varies from 66% to 80%. CONCLUSION Basic haematological parameters can be used as a simple and cost-effective tool to predict mortality and to provide early treatment in critically ill patients.
Authors and Affiliations
Poongodi Rajagopal, Sudhakar Ramamoorthy, Angelin Grace Jeslin
Keywords
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- EP ID EP410102
- DOI 10.14260/jemds/2018/234
- Views 83
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