This study obtained estimates of the incidence and prevalence of septic shock and/or death in septic neonates for future sample size calculations for confirmatory studies and evaluated the feasibility of using sTREM-1 as a predictor of septic shock and/or death in neonates with LONS criteria.
Multivariate analysis showed that rainfall in the 14 days before admission was an independent predictor of septic shock and death.
The mottling score was an objective reproducible system to bedside use and a good predictor of septic shock mortality.
Additionally, in the logistic regression analysis, presepsin and PCT were found to be independent predictors of septic shock in septic patients, which indicated presepsin and PCT had certain value in predicting septic shock.
We designed this study to assess the independent predictors of septic shock in patients with MRSA bacteremia.
Univariate predictors of appropriate shock are shown in Table II in the Data Supplement.
Competing risk predictors of appropriate shock included nonsustained ventricular tachycardia, atrial fibrillation, serum creatinine concentration, digoxin or amiodarone use, and QRS duration near 130-ms peak.
Multivariate logistic regression analysis was used to find the independent predictors of recurrent shock using MedCalc version 11.0 statistical software (MedCalc Software, Ostend, Belgium).
The current body of literature addressing predictors of septic shock mortality is remarkably limited to date, especially in the setting of appropriate antimicrobial therapy, bundled sepsis treatment, and a dedicated SRT.
Multivariable predictors of appropriate shock from the competing risk models (Table 2) included previously documented nonsustained VT, atrial fibrillation, higher serum creatinine, and the absolute difference of QRSd from a high risk value of 130 ms (ie, |QRSd=130|).
