Evaluation of sepsis induced cardiac dysfunction as a predictor of mortality

BACKGROUND: Sepsis is characterized by life threatening organ dysfunction with dysregulated immune response. Cardiac dysfunction seen in sepsis is unique as it is reversible within 7–10 days. Initial study by Parker et al. in 1984, showed, paradoxically lower ejection fraction in survivors of septic shock. Subsequent meta-analysis did not support that survivors had lower ejection fraction. Aim of our study was to assess the sepsis induced cardiac dysfunction by 2D echocardiography and Troponin I. METHODS: After obtaining institutional ethical committee approval (ref 125/2016), a prospective observational study was done in an university medical college from February 2016 to April 2016. Inclusion criteria were patients diagnosed with sepsis by new sepsis definition. Pregnant patients and patients with poor echo window were excluded. Echocardiographic assessment was done within 48 h of diagnosis of sepsis by standard methods. Primary outcome was ICU mortality and secondary outcome was ICU length of stay. Statistical analysis was done using STATA™ (Version14, College station TX). RESULTS: Fifty eight patients were screened, ten were excluded due to poor echo window. Baseline characteristics were similar in survivors and non survivors, except APACHE II, SOFA age and cumulative fluid balance. Echocardiographic parameters, mitral annular plane systolic excursion (MAPSE), E/e’ and LV systolic function assessed by visual gestalt method were found to be statistically significant. Parameters found significant in bivariate analysis were used as a covariate in logistic regression. APACHE II and MAPSE were significant co-variates in logistic regression with ROC (0.95) and calibration was satisfactory (chi2(df8),1.98, p = 0.98). CONCLUSIONS: Sepsis induced cardiac dysfunction assessed by echocardiography showed measurement of MAPSE when combined with APACHE II was a good predictor of mortality. Among the echocardiographic parameters MAPSE alone was a good predictor of mortality. Results of this study need further validation from larger study.