OBJECTIVE: To assess the feasibility of 12-lead electrocardiographic (ECG) measures such as P wave dispersion (PWd), QT interval, QT dispersion (QTd), Tp-e interval, Tp-e/QT and Tp-e/QTc ratio in predicting poor outcome in patients diagnosed with sepsis in pediatric intensive care unit (PICU). METHODS: Ninety-three patients diagnosed with sepsis, severe sepsis or septic shock and 103 age- and sex-matched healthy children were enrolled into the study. PWd, QT interval, QTd, Tp-e interval and Tp-e/QT, Tp-e/QTc ratios were obtained from a 12-lead electrocardiogram. RESULTS: PWd, QTd, Tp-e interval and Tp-e/QT, Tp-e/QTc ratios were significantly higher in septic patients compared with the controls. During the study period, 41 patients had died. In multivariate logistic regression analyses, only Tp-e/QT ratio was found to be an independent predictor of mortality. CONCLUSION: The ECG measurements can predict the poor outcome in patients with sepsis. The Tp-e/QT ratio may be a valuable tool in predicting mortality for patients with sepsis in the PICU.
OBJECTIVE: To assess the feasibility of 12-lead electrocardiographic (ECG) measures such as P wave dispersion (PWd), QT interval, QT dispersion (QTd), Tp-e interval, Tp-e/QT and Tp-e/QTc ratio in predicting poor outcome in patients diagnosed with sepsis in pediatric intensive care unit (PICU). METHODS: Ninety-three patients diagnosed with sepsis, severe sepsis or septic shock and 103 age- and sex-matched healthy children were enrolled into the study. PWd, QT interval, QTd, Tp-e interval and Tp-e/QT, Tp-e/QTc ratios were obtained from a 12-lead electrocardiogram. RESULTS: PWd, QTd, Tp-e interval and Tp-e/QT, Tp-e/QTc ratios were significantly higher in septic patients compared with the controls. During the study period, 41 patients had died. In multivariate logistic regression analyses, only Tp-e/QT ratio was found to be an independent predictor of mortality. CONCLUSION: The ECG measurements can predict the poor outcome in patients with sepsis. The Tp-e/QT ratio may be a valuable tool in predicting mortality for patients with sepsis in the PICU.
Authors: Fatemeh Fattahi; Lynn M Frydrych; Guowu Bian; Miriam Kalbitz; Todd J Herron; Elizabeth A Malan; Matthew J Delano; Peter A Ward Journal: Mol Immunol Date: 2018-06-18 Impact factor: 4.407
Authors: Kusum Menon; Luregn J Schlapbach; Samuel Akech; Andrew Argent; Paolo Biban; Enitan D Carrol; Kathleen Chiotos; Mohammod Jobayer Chisti; Idris V R Evans; David P Inwald; Paul Ishimine; Niranjan Kissoon; Rakesh Lodha; Simon Nadel; Cláudio Flauzino Oliveira; Mark Peters; Benham Sadeghirad; Halden F Scott; Daniela C de Souza; Pierre Tissieres; R Scott Watson; Matthew O Wiens; James L Wynn; Jerry J Zimmerman; Lauren R Sorce Journal: Crit Care Med Date: 2022-01-01 Impact factor: 9.296