PloS one · 2025
Risk factors analysis of 90-day mortality in patients with sepsis in intensive care unit.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Xu Yuntian, Zhang He, Li Jiezhi, Wang Nan, Yuan Huifeng
Аннотация
BACKGROUND: The incidence and mortality of sepsis in the intensive care unit (ICU) remain persistently high. This study primarily investigates the risk factors associated with the 90-day mortality in sepsis patients.
METHOD: This retrospective study included 123 sepsis patients admitted to a hospital in China from January 2015 to December 2018, clinical and abdominal CT data were compared between survivors and non-survivors, logistic regression and Cox regression analyses were performed on the abdominal CT data, Finally, survival curves for different skeletal muscle indices were analyzed using the Kaplan-Meier (K-M) method.
RESULT: In the abdominal CT scan data, significant differences were observed between survivors and non-survivors in skeletal muscle density (SMD), skeletal muscle area (SMA), skeletal muscle index (SMI), and subcutaneous adipose tissue area (SAT); Cox regression analysis revealed that higher skeletal muscle density (SMD) (HR = 0.953; 95% CI = 0.923-0.984; p = 0.003), skeletal muscle area (SMA) (HR = 0.986; 95% CI = 0.976-0.997; p = 0.011), and skeletal muscle index (SMI) (HR = 0.951; 95% CI = 0.917-0.985; p = 0.005) were significantly associated with lower 90-day mortality compared to non-survivors. Finally, the Kaplan-Meier (K-M) curves demonstrated differences in survival based on the median skeletal muscle index (SMI).
CONCLUSION: Body composition parameters assessed by abdominal CT scans are highly associated with 90-day mortality in ICU patients with sepsis. Among them, SMD, SMA, and SMI are valuable prognostic factors.
METHOD: This retrospective study included 123 sepsis patients admitted to a hospital in China from January 2015 to December 2018, clinical and abdominal CT data were compared between survivors and non-survivors, logistic regression and Cox regression analyses were performed on the abdominal CT data, Finally, survival curves for different skeletal muscle indices were analyzed using the Kaplan-Meier (K-M) method.
RESULT: In the abdominal CT scan data, significant differences were observed between survivors and non-survivors in skeletal muscle density (SMD), skeletal muscle area (SMA), skeletal muscle index (SMI), and subcutaneous adipose tissue area (SAT); Cox regression analysis revealed that higher skeletal muscle density (SMD) (HR = 0.953; 95% CI = 0.923-0.984; p = 0.003), skeletal muscle area (SMA) (HR = 0.986; 95% CI = 0.976-0.997; p = 0.011), and skeletal muscle index (SMI) (HR = 0.951; 95% CI = 0.917-0.985; p = 0.005) were significantly associated with lower 90-day mortality compared to non-survivors. Finally, the Kaplan-Meier (K-M) curves demonstrated differences in survival based on the median skeletal muscle index (SMI).
CONCLUSION: Body composition parameters assessed by abdominal CT scans are highly associated with 90-day mortality in ICU patients with sepsis. Among them, SMD, SMA, and SMI are valuable prognostic factors.