Details

Autor(en) / Beteiligte

• Yang, P L
• Yuan, J
• Chen, Y
• Yu, J Q
• Zheng, Q G
• Chen, Qihong

Titel

Establishment of a predictive model of septic myocardiopathy based on left ventricular global longitudinal strain

Ist Teil von

• Zhong hua yi xue za zhi, 2022-04, Vol.102 (15), p.1100-1107

Ort / Verlag

China

Erscheinungsjahr

2022

Quelle

MEDLINE

Beschreibungen/Notizen

• To explore the risk factors associated with septic cardiomyopathy and establish a predictive model of the disease based on left ventricular global longitudinal strain (LV GLS). Data from sepsis patients without a history of cardiac dysfunction who were treated in the Critical Care Department of the Northern Jiangsu People's Hospital from September, 2019 to January, 2021 were included in the analysis. The LV GLS was measured by echocardiography within 72 hours and the patients were divided into a septic myocardiopathy group (LV GLS>-17%) and a normal cardiac function group (LV GLS≤-17%). Clinical data from two groups of patients were collected for univariate analysis. The receiver operating characteristic (ROC) curves of the factors that were statistically different were drawn for exploring the diagnostic and cut-off values. The continuous variable was converted to a dichotomous variable according to the cut-off value. Multivariate logistic regression analysis of sepsis cardiomyopathy was performed to screen t