A study has been carried out on the build-up of burn up wave in neutron absorbing and diffusive media. New parameters, i.e., transient length and transient time elapsing in establishing the steady burn up wave, have been introduced. The wave characteristics are expressed in terms of these new parameters and Full Width at Half Maxima (FWHM) and Full Width at 1 % of Maximum (FW1M). These characterization parameters would be useful in understanding the neutron burn up wave development and their approach to the equilibrium (steady) state.

Background and Aims:Eosinopenia has recently been associated with sepsis. Thus, eosinopenia can be used as a marker of the severity of sepsis and high mortality, which helps in early identification of high risk patients, so better management can be offered to such patients. Aim of the study was to assess whether Absolute Esoinophil Count (AEC) at the time of ICU admission can be used as a predictor of inhospital mortality in cirrhotics.Materials and Methods:This study was a retrospective cohort study. The study population included cirrhosis patients admitted in ICU and High Dependency Unit with sepsis and their absolute eosinophil counts were assessed on the day of hospital admission.Results: A total of 105 patients were enrolled in the study. Among the various parameters analyzed, MELD score, CTP score, Albumin levels, Total count, CRP, ESR, ALT, Bilirubin, Creatinine, Urea, SIRS and Absolute Eosinophil Count(AEC) were statistically significant in predicting the mortality. AUROC of AEC for predicting mortality was 0.881. Cutoff of AEC by Youden’s index was 110 cells/cumm (sensitivity 91.3%, specificity 89%, positive predictive value 87.5% and negative predictive value 93%) in predicting inhospital mortality. MELD AUROC was 0.78 with cut off of > 24 (sensitivity 89%, specificity 74.6%, positive predictive value 73% and negative predictive value 89%) to predict mortality. Conclusion:In critically ill cirrhosis patients, absolute eosinophil count less than 110 cells/cumm can predict inhospital mortality.

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