Celestine Jia Ling Loh, Ming Hua Cheng, Yuqing Shang, Nicholas Brian Shannon, Hairil Rizal Abdullah, Ke Yuhe
{"title":"腹部重大急诊手术术前休克指数","authors":"Celestine Jia Ling Loh, Ming Hua Cheng, Yuqing Shang, Nicholas Brian Shannon, Hairil Rizal Abdullah, Ke Yuhe","doi":"10.47102/annals-acadmedsg.2023143","DOIUrl":null,"url":null,"abstract":"Introduction: Major abdominal emergency surgery (MAES) patients have a high risk of mortality and complications. The time-sensitive nature of MAES necessitates an easily calculable risk-scoring tool. Shock index (SI) is obtained by dividing heart rate (HR) by systolic blood pressure (SBP) and provides insight into a patient’s haemodynamic status. We aimed to evaluate SI’s usefulness in predicting postoperative mortality, acute kidney injury (AKI), requirements for intensive care unit (ICU) and high-dependency monitoring, and the ICU length of stay (LOS). Method: We retrospectively reviewed 212,089 MAES patients from January 2013 to December 2020. The cohort was propensity matched, and 3960 patients were included. The first HR and SBP recorded in the anaesthesia chart were used to calculate SI. Regression models were used to investigate the association between SI and outcomes. The relationship between SI and survival was explored with Kaplan-Meier curves. Results: There were significant associations between SI and mortality at 1 month (odds ratio [OR] 2.40 [1.67–3.39], P<0.001), 3 months (OR 2.13 [1.56–2.88], P<0.001), and at 2 years (OR 1.77 [1.38–2.25], P<0.001). Multivariate analysis revealed significant relationships between SI and mortality at 1 month (OR 3.51 [1.20–10.3], P=0.021) and at 3 months (OR 3.05 [1.07–8.54], P=0.034). Univariate and multivariate analysis also revealed significant relationships between SI and AKI (P<0.001), postoperative ICU admission (P<0.005) and ICU LOS (P<0.001). SI does not significantly affect 2-year mortality. Conclusion: SI is useful in predicting postopera-tive mortality at 1 month, 3 months, AKI, postoperative ICU admission and ICU LOS.","PeriodicalId":50774,"journal":{"name":"Annals Academy of Medicine Singapore","volume":null,"pages":null},"PeriodicalIF":5.2000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preoperative shock index in major abdominal emergency surgery\",\"authors\":\"Celestine Jia Ling Loh, Ming Hua Cheng, Yuqing Shang, Nicholas Brian Shannon, Hairil Rizal Abdullah, Ke Yuhe\",\"doi\":\"10.47102/annals-acadmedsg.2023143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Major abdominal emergency surgery (MAES) patients have a high risk of mortality and complications. The time-sensitive nature of MAES necessitates an easily calculable risk-scoring tool. Shock index (SI) is obtained by dividing heart rate (HR) by systolic blood pressure (SBP) and provides insight into a patient’s haemodynamic status. We aimed to evaluate SI’s usefulness in predicting postoperative mortality, acute kidney injury (AKI), requirements for intensive care unit (ICU) and high-dependency monitoring, and the ICU length of stay (LOS). Method: We retrospectively reviewed 212,089 MAES patients from January 2013 to December 2020. The cohort was propensity matched, and 3960 patients were included. The first HR and SBP recorded in the anaesthesia chart were used to calculate SI. Regression models were used to investigate the association between SI and outcomes. The relationship between SI and survival was explored with Kaplan-Meier curves. Results: There were significant associations between SI and mortality at 1 month (odds ratio [OR] 2.40 [1.67–3.39], P<0.001), 3 months (OR 2.13 [1.56–2.88], P<0.001), and at 2 years (OR 1.77 [1.38–2.25], P<0.001). Multivariate analysis revealed significant relationships between SI and mortality at 1 month (OR 3.51 [1.20–10.3], P=0.021) and at 3 months (OR 3.05 [1.07–8.54], P=0.034). Univariate and multivariate analysis also revealed significant relationships between SI and AKI (P<0.001), postoperative ICU admission (P<0.005) and ICU LOS (P<0.001). SI does not significantly affect 2-year mortality. Conclusion: SI is useful in predicting postopera-tive mortality at 1 month, 3 months, AKI, postoperative ICU admission and ICU LOS.\",\"PeriodicalId\":50774,\"journal\":{\"name\":\"Annals Academy of Medicine Singapore\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2023-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals Academy of Medicine Singapore\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47102/annals-acadmedsg.2023143\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals Academy of Medicine Singapore","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47102/annals-acadmedsg.2023143","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Preoperative shock index in major abdominal emergency surgery
Introduction: Major abdominal emergency surgery (MAES) patients have a high risk of mortality and complications. The time-sensitive nature of MAES necessitates an easily calculable risk-scoring tool. Shock index (SI) is obtained by dividing heart rate (HR) by systolic blood pressure (SBP) and provides insight into a patient’s haemodynamic status. We aimed to evaluate SI’s usefulness in predicting postoperative mortality, acute kidney injury (AKI), requirements for intensive care unit (ICU) and high-dependency monitoring, and the ICU length of stay (LOS). Method: We retrospectively reviewed 212,089 MAES patients from January 2013 to December 2020. The cohort was propensity matched, and 3960 patients were included. The first HR and SBP recorded in the anaesthesia chart were used to calculate SI. Regression models were used to investigate the association between SI and outcomes. The relationship between SI and survival was explored with Kaplan-Meier curves. Results: There were significant associations between SI and mortality at 1 month (odds ratio [OR] 2.40 [1.67–3.39], P<0.001), 3 months (OR 2.13 [1.56–2.88], P<0.001), and at 2 years (OR 1.77 [1.38–2.25], P<0.001). Multivariate analysis revealed significant relationships between SI and mortality at 1 month (OR 3.51 [1.20–10.3], P=0.021) and at 3 months (OR 3.05 [1.07–8.54], P=0.034). Univariate and multivariate analysis also revealed significant relationships between SI and AKI (P<0.001), postoperative ICU admission (P<0.005) and ICU LOS (P<0.001). SI does not significantly affect 2-year mortality. Conclusion: SI is useful in predicting postopera-tive mortality at 1 month, 3 months, AKI, postoperative ICU admission and ICU LOS.
期刊介绍:
The Annals is the official journal of the Academy of Medicine, Singapore. Established in 1972, Annals is the leading medical journal in Singapore which aims to publish novel findings from clinical research as well as medical practices that can benefit the medical community.