Journal of cardiac surgery · 2022
Systemic immune-inflammation index predicted short-term outcomes in ATAD patients undergoing surgery.
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Xu Hongjie, Li Yang, Wang He, Yuan Ye, Chen Di, Sun Yangyong, Xu Zhiyun
Аннотация
OBJECTIVE: Systemic immune-inflammation index (SII) is a biomarker that reflect systemic inflammation. We aimed to assess the value of SII in prediction of short-term outcomes in acute type A aortic dissection (ATAD) patients undergoing surgery.
METHOD: All patients underwent surgery for ATAD at our institution from 2018 to 2020 (n = 324) were retrospectively reviewed and divided into low SII (<1582.6 × 109 /L) and high SII (≥1582.6 × 109 /L) group according to optimal cut-off values defined by receiver operating characteristic curve. Cox regression and Kaplan-Meier analyses were performed to illustrate the correlation between SII and postoperative short-outcomes, including 30-day mortality and main complications after surgery.
RESULTS: In total, 48 (14.8%) patients died in 30 days after ATAD surgery. And multivariable Cox analysis demonstrated that high preoperative SII was closely related with 30-day mortality (hazard ratio: 3.532, 95% confidence interval: 1.719-7.255, p = .001). Furthermore, Kaplan-Meier analysis illustrated that the short-term mortality rate increased significantly in high SII group (p < .001). In addition, the incidence of main postoperative complications including major adverse cardiovascular events (p = .001) and multiorgan failure (p = .002) were higher in high SII group. However, the length of intensive unit stay (p = .909) and hospital stay (p = .836) presented no difference in two groups.
CONCLUSION: The study indicated that SII was an available biomarker to predict postoperative short-term prognosis, but not length of stay in intensive care unit and hospital in ATAD patients. And SII may be applied to risk stratification and patient selection in ATAD patients before surgery.
METHOD: All patients underwent surgery for ATAD at our institution from 2018 to 2020 (n = 324) were retrospectively reviewed and divided into low SII (<1582.6 × 109 /L) and high SII (≥1582.6 × 109 /L) group according to optimal cut-off values defined by receiver operating characteristic curve. Cox regression and Kaplan-Meier analyses were performed to illustrate the correlation between SII and postoperative short-outcomes, including 30-day mortality and main complications after surgery.
RESULTS: In total, 48 (14.8%) patients died in 30 days after ATAD surgery. And multivariable Cox analysis demonstrated that high preoperative SII was closely related with 30-day mortality (hazard ratio: 3.532, 95% confidence interval: 1.719-7.255, p = .001). Furthermore, Kaplan-Meier analysis illustrated that the short-term mortality rate increased significantly in high SII group (p < .001). In addition, the incidence of main postoperative complications including major adverse cardiovascular events (p = .001) and multiorgan failure (p = .002) were higher in high SII group. However, the length of intensive unit stay (p = .909) and hospital stay (p = .836) presented no difference in two groups.
CONCLUSION: The study indicated that SII was an available biomarker to predict postoperative short-term prognosis, but not length of stay in intensive care unit and hospital in ATAD patients. And SII may be applied to risk stratification and patient selection in ATAD patients before surgery.