The heart, one of the most important organs for oxygen supply and consumption, is frequently involved in sepsis, i.e. septic cardiomyopathy, also known as septic myocardial suppression. The occurrence of septic myocardial suppression increases mortality in septic patients. Recent studies have found that left ventricular hyperdynamic state (EF \> 70%) is associated with intra-ICU mortality in septic patients, possibly because it reflects unresolved vascular paralysis from sepsis . For septic myocardial suppression, there is still a lack of uniform criteria for diagnosis, but it is well established that the cardiac ultrasound phenotype of septic myocardial suppression can be left ventricular systolic insufficiency (LVSD), left ventricular diastolic insufficiency (LVDD), right ventricular insufficiency (RVD), diffuse ventricular insufficiency, and mixed ventricular insufficiency. According to incomplete statistics, the prevalence of LVSD ranges from 12 to 60%, the prevalence of LVDD is higher, 20% to 79%, and the prevalence of RVD varies from 30% to 55%. However, based on the current understanding of septic myocardial suppression, the relationship between each staging and its prognosis is unclear, and echocardiography can rapidly identify septic myocardial suppression and guide the classification of septic myocardial suppression to further optimize the diagnosis and treatment process of sepsis, especially to avoid over-resuscitation during fluid resuscitation and perform reverse resuscitation in a timely manner to improve patient prognosis and reduce hospitalization time. The aim of this study is to classify and evaluate the prognosis of patients with different septic cardiac ultrasound phenotypes in multiple centers across China by measuring the right and left heart systolic and diastolic indices by echocardiography, recording the baseline conditions and clinical indices of patients, and combining them with the prognosis.
Study Type
OBSERVATIONAL
Enrollment
200
Fujian Provincial Hospital
Fuzhou, Fujian, China
in-hospital mortality
Number of patient deaths divided by the total number
Time frame: From date of randomization until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 12 months
28-day mortality
Number of patient deaths within 28 days divided by the total number
Time frame: From patient admission to day 28
length of stay in the ICU
Total number of days from patient transfer to ICU to transfer out of ICU
Time frame: days from patient transfer to ICU to transfer out,an average of 1 week
number of days of mechanical ventilation
Total number of days the patient was mechanically ventilated until the cessation of mechanical ventilation
Time frame: Days the patient was mechanically ventilated until the cessation of mechanical ventilation,an average of 1 week
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