scholarly journals Predictive risk score model for severe fever with thrombocytopenia syndrome mortality based on qSOFA and SIRS scoring system

2019 ◽  
Author(s):  
Li Wang ◽  
Kun Ding ◽  
Chunguo Hou ◽  
Zhiqiang Zou ◽  
Song Qin
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Risk Score ◽  
Risk Groups ◽  
Multivariable Logistic Regression Analysis ◽  
Predictive Values ◽  
Independent Risk Factors ◽  
Score Model ◽  
Qsofa Score ◽  
Severe Fever

Abstract Background: Severe fever with thrombocytopenia syndrome (SFTS) is a severe systemic virus infectious disease usually having multi-organ dysfunction which resembles sepsis.Methods: A total of 321 patients with laboratory-confirmed SFTS from May 2013 to July 2017 were retrospectively analysed. Demographic and clinical characteristics, calculated quick sequential organ failure assessment (qSOFA) score and systemic inflammatory response syndrome (SIRS) criteria for survivors and nonsurvivors were compared. Independent risk factors associated with in-hospital mortality were obtained using multivariable logistic regression analysis. Risk score models containing different risk factors for mortality in stratified patients were established whose predictive values were evaluated using area under ROC curve (AUC).Results: Of 321 patients, 87 died (27.1%). Age (p<0.001) and percentage numbers of patients with qSOFA≥2 and SIRS≥2 (p<0.0001) were profoundly greater in nonsurvivors than in survivors. Age, qSOFA, SIRS score and aspartate aminotransferase (AST) were independent risk factors for mortality for all patients. And qSOFA score was the only common risk factor in all patients, those of age≥60 years and those enrolled in intensive care unit (ICU). A risk score model containing all these risk factors (Model1) has high predictive value for in-hospital mortality in these three groups with AUCs (95% CI): 0.919 (0.883-0.946), 0.929 (0.862-0.944) and 0.815 (0.710-0.894), respectively. Kaplan-Meier survival analysis showed a strong difference between high-risk and low-risk groups at a cutoff value > 9.22 (log-rank c2 = 126.3, p <0.0001) Conclusions: qSOFA and risk models containing qSOFA have high predictive validity for SFTS in-hospital mortality.

scholarly journals Predictive risk score model for severe fever with thrombocytopenia syndrome mortality based on qSOFA and SIRS scoring system

2020 ◽  
Author(s):  
Li Wang ◽  
Zhiqiang Zou ◽  
Kun Ding ◽  
Chunguo Hou ◽  
Song Qin
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Risk Score ◽  
Predictive Value ◽  
Multivariable Logistic Regression Analysis ◽  
Predictive Values ◽  
Independent Risk Factors ◽  
Score Model ◽  
Qsofa Score ◽  
Severe Fever

Abstract Background: Severe fever with thrombocytopenia syndrome (SFTS) is a severe systemic virus infectious disease usually having multi-organ dysfunction which resembles sepsis. Methods: Data of 321 patients with laboratory-confirmed SFTS from May 2013 to July 2017 were retrospectively analyzed. Demographic and clinical characteristics, calculated quick sequential organ failure assessment (qSOFA) score and systemic inflammatory response syndrome (SIRS) criteria for survivors and nonsurvivors were compared. Independent risk factors associated with in-hospital mortality were obtained using multivariable logistic regression analysis. Risk score models containing different risk factors for mortality in stratified patients were established whose predictive values were evaluated using the area under ROC curve (AUC). Results: Of 321 patients, 87 died (27.1%). Age ( p <0.001) and percentage numbers of patients with qSOFA≥2 and SIRS≥2 ( p <0.0001) were profoundly greater in nonsurvivors than in survivors. Age, qSOFA, SIRS score and aspartate aminotransferase (AST) were independent risk factors for mortality for all patients. And qSOFA score was the only common risk factor in all patients, those age≥60 years and those enrolled in the intensive care unit (ICU). A risk score model containing all these risk factors (Model1) has high predictive value for in-hospital mortality in these three groups with AUCs (95% CI): 0.919 (0.883-0.946), 0.929 (0.862-0.944) and 0.815 (0.710-0.894), respectively. A model only including age and qSOFA also has high predictive value for mortality in these groups with AUCs (95% CI): 0.872 (0.830-0.906), 0.885(0.801-0.900) and 0.865 (0.767-0.932), respectively. Conclusions: Risk models containing qSOFA have high predictive validity for SFTS mortality.

scholarly journals Predictive risk score model for severe fever with thrombocytopenia syndrome mortality based on qSOFA and SIRS scoring system

2020 ◽  
Author(s):  
Li Wang ◽  
Zhiqiang Zou ◽  
Kun Ding ◽  
Chunguo Hou
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Risk Score ◽  
Predictive Value ◽  
Multivariable Logistic Regression Analysis ◽  
Predictive Values ◽  
Independent Risk Factors ◽  
Score Model ◽  
Qsofa Score ◽  
Severe Fever

Abstract Background: Severe fever with thrombocytopenia syndrome (SFTS) is a severe systemic virus infectious disease usually having multi-organ dysfunction which resembles sepsis.Methods: Data of 321 patients with laboratory-confirmed SFTS from May 2013 to July 2017 were retrospectively analyzed. Demographic and clinical characteristics, calculated quick sequential organ failure assessment (qSOFA) score and systemic inflammatory response syndrome (SIRS) criteria for survivors and nonsurvivors were compared. Independent risk factors associated with in-hospital mortality were obtained using multivariable logistic regression analysis. Risk score models containing different risk factors for mortality in stratified patients were established whose predictive values were evaluated using the area under ROC curve (AUC).Results: Of 321 patients, 87 died (27.1%). Age (p<0.001) and percentage numbers of patients with qSOFA≥2 and SIRS≥2 (p<0.0001) were profoundly greater in nonsurvivors than in survivors. Age, qSOFA, SIRS score and aspartate aminotransferase (AST) were independent risk factors for mortality for all patients. And qSOFA score was the only common risk factor in all patients, those age≥60 years and those enrolled in the intensive care unit (ICU). A risk score model containing all these risk factors (Model1) has high predictive value for in-hospital mortality in these three groups with AUCs (95% CI): 0.919 (0.883-0.946), 0.929 (0.862-0.944) and 0.815 (0.710-0.894), respectively. A model only including age and qSOFA also has high predictive value for mortality in these groups with AUCs (95% CI): 0.872 (0.830-0.906), 0.885(0.801-0.900) and 0.865 (0.767-0.932), respectively.Conclusions: Risk models containing qSOFA have high predictive validity for SFTS mortality.

scholarly journals Increasing Newly Diagnosed Inflammatory Bowel Disease and Improving Prognosis in China: A 30-year Retrospective Study From a Single Center

2020 ◽  
Author(s):  
Hong Lv ◽  
Meng Jin ◽  
Huimin Zhang ◽  
Xuanfu Chen ◽  
Meixu Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Pearson Correlation ◽  
Cohort Analysis ◽  
Tertiary Hospital ◽  
Intestinal Fistula ◽  
Multivariable Logistic Regression Analysis ◽  
Newly Diagnosed ◽  
College Hospital ◽  
Independent Risk Factors

Abstract Background: We aimed to characterize the trends of prognosis in Ulcerative Colitis (UC) and Crohn’s Disease (CD) in a Chinese tertiary hospital. Methods: A 30-year retrospective cohort analysis was conducted at Peking Union Medical College Hospital. Consecutive patients newly diagnosed with UC or CD from 1985 to 2014 were included. The primary outcome was in-hospital mortality. Second outcomes included surgery and length of stay in hospital. Pearson correlation coefficient was performed to determine the relationship between time and prognosis. Multivariable logistic regression analysis was performed to determine the risk factors for in-hospital mortality and surgery. Results: In total, 1467 patients were included in this study (898 cases with UC and 569 cases with CD). Annual admissions of UC and CD rose significantly over the last 30 years (UC, r=0.918, P<0.05; CD, r=0.898, P<0.05). Decreased in-hospital mortalities were observed in patients with UC and CD (UC, from 2.44% to 0.27%, r=-0.827, P<0.05; CD, from 12.50% to 0.00%, r=-0.978, P<0.05). A decreasing surgery rate was observed in patients with CD (r=-0.847, P<0.05) while an increasing surgery rate was observed in patients with UC (r=0.956, P<0.05). Shortened average lengths of stay in hospital were observed both in patients with UC and CD (UC, from 47.83±34.35 days to 23.58±20.05 days, r=-0.970, P<0.05; CD, from 65.50±50.57days to 26.41±18.43 days, r=-0.913, P<0.05). Toxic megacolon, sepsis shock were independent risk factors for in-hospital mortality in patients with UC. Intestinal fistula, intestinal perforation were independent risk factors for in-hospital mortality in patients with CD. Conclusions: In this cohort, the admissions of patients with UC and CD were increased with a significantly improved prognosis during past 30 years.

scholarly journals Increasing newly diagnosed inflammatory bowel disease and improving prognosis in China: a 30-year retrospective study from a single centre

2020 ◽  
Author(s):  
Hong Lv ◽  
Meng Jin ◽  
Huimin Zhang ◽  
Xuanfu Chen ◽  
Meixu Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Pearson Correlation ◽  
Cohort Analysis ◽  
Tertiary Hospital ◽  
Intestinal Fistula ◽  
Multivariable Logistic Regression Analysis ◽  
Newly Diagnosed ◽  
College Hospital ◽  
Independent Risk Factors

Abstract Background: We aimed to characterize the trends of prognosis in ulcerative colitis (UC) and Crohn’s disease (CD) in a Chinese tertiary hospital. Methods: A 30-year retrospective cohort analysis was conducted at Peking Union Medical College Hospital. Consecutive patients newly diagnosed with UC or CD from 1985 to 2014 were included. The primary outcome was in-hospital mortality. The secondary outcomes included surgery and length of stay in hospital. The Pearson correlation coefficient was applied to determine the relationship between time and prognosis. Multivariable logistic regression analysis was performed to determine the risk factors for in-hospital mortality and surgery. Results: In total, 1467 patients were included in this study (898 cases with UC and 569 cases with CD). Annual admissions for UC and CD have increased significantly over the last 30 years (UC, r=0.918, P<0.05; CD, r=0.898, P<0.05). Decreased in-hospital mortality was observed both in patients with UC and CD (UC, from 2.44% to 0.27%, r=-0.827, P<0.05; CD, from 12.50% to 0.00%, r=-0.978, P<0.05). A decreasing surgery rate was observed in patients with CD (r=-0.847, P<0.05), while an increasing surgery rate was observed in patients with UC (r=0.956, P<0.05). Shortened average lengths of hospital stay were observed in both UC and CD patients (UC, from 47.83±34.35 days to 23.58±20.05 days, r=-0.970, P<0.05; CD, from 65.50±50.57 days to 26.41±18.43 days, r=-0.913, P<0.05). Toxic megacolon and septic shock were independent risk factors for in-hospital mortality in patients with UC. Intestinal fistula and intestinal perforation were independent risk factors for in-hospital mortality in patients with CD. Conclusions: In this cohort, the admissions of patients with UC and CD were increased, with significantly improved prognoses during the past 30 years.

scholarly journals Risk factors for the treatment outcome of retreated pulmonary tuberculosis patients in China: an optimized prediction model

2017 ◽  
Vol 145 (9) ◽  
pp. 1805-1814 ◽  
Author(s):  
X.-M. WANG ◽  
S.-H. YIN ◽  
J. DU ◽  
M.-L. DU ◽  
P.-Y. WANG ◽  
...  
Keyword(s):  
Risk Factors ◽  
Treatment Outcome ◽  
Pulmonary Tuberculosis ◽  
Treatment Failure ◽  
Risk Score ◽  
Risk Scores ◽  
Predictive Values ◽  
Factors Associated ◽  
Positive Culture Result ◽  
Score Model

SUMMARYRetreatment of tuberculosis (TB) often fails in China, yet the risk factors associated with the failure remain unclear. To identify risk factors for the treatment failure of retreated pulmonary tuberculosis (PTB) patients, we analyzed the data of 395 retreated PTB patients who received retreatment between July 2009 and July 2011 in China. PTB patients were categorized into ‘success’ and ‘failure’ groups by their treatment outcome. Univariable and multivariable logistic regression were used to evaluate the association between treatment outcome and socio-demographic as well as clinical factors. We also created an optimized risk score model to evaluate the predictive values of these risk factors on treatment failure. Of 395 patients, 99 (25·1%) were diagnosed as retreatment failure. Our results showed that risk factors associated with treatment failure included drug resistance, low education level, low body mass index (<18·5), long duration of previous treatment (>6 months), standard treatment regimen, retreatment type, positive culture result after 2 months of treatment, and the place where the first medicine was taken. An Optimized Framingham risk model was then used to calculate the risk scores of these factors. Place where first medicine was taken (temporary living places) received a score of 6, which was highest among all the factors. The predicted probability of treatment failure increases as risk score increases. Ten out of 359 patients had a risk score >9, which corresponded to an estimated probability of treatment failure >70%. In conclusion, we have identified multiple clinical and socio-demographic factors that are associated with treatment failure of retreated PTB patients. We also created an optimized risk score model that was effective in predicting the retreatment failure. These results provide novel insights for the prognosis and improvement of treatment for retreated PTB patients.

scholarly journals Increasing newly diagnosed inflammatory bowel disease and improving prognosis in China: a 30-year retrospective study from a single centre

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Hong Lv ◽  
Meng Jin ◽  
Huimin Zhang ◽  
Xuanfu Chen ◽  
Meixu Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Pearson Correlation ◽  
Cohort Analysis ◽  
Tertiary Hospital ◽  
Intestinal Fistula ◽  
Multivariable Logistic Regression Analysis ◽  
Newly Diagnosed ◽  
College Hospital ◽  
Independent Risk Factors

Abstract Background We aimed to characterize the trends of prognosis in ulcerative colitis (UC) and Crohn’s disease (CD) in a Chinese tertiary hospital. Methods A 30-year retrospective cohort analysis was conducted at Peking Union Medical College Hospital. Consecutive patients newly diagnosed with UC or CD from 1985 to 2014 were included. The primary outcome was in-hospital mortality. The secondary outcomes included surgery and length of stay in hospital. The Pearson correlation coefficient was applied to determine the relationship between time and prognosis. Multivariable logistic regression analysis was performed to determine the risk factors for in-hospital mortality and surgery. Results In total, 1467 patients were included in this study (898 cases with UC and 569 cases with CD). Annual admissions for UC and CD have increased significantly over the last 30 years (UC, r = 0.918, P < 0.05; CD, r = 0.898, P < 0.05). Decreased in-hospital mortality was observed both in patients with UC and CD (UC, from 2.44 to 0.27%, r = − 0.827, P < 0.05; CD, from 12.50 to 0.00%, r = − 0.978, P < 0.05). A decreasing surgery rate was observed in patients with CD (r = − 0.847, P < 0.05), while an increasing surgery rate was observed in patients with UC (r = 0.956, P < 0.05). Shortened average lengths of hospital stay were observed in both UC and CD patients (UC, from 47.83 ± 34.35 to 23.58 ± 20.05 days, r = − 0.970, P < 0.05; CD, from 65.50 ± 50.57 to 26.41 ± 18.43 days, r = − 0.913, P < 0.05). Toxic megacolon and septic shock were independent risk factors for in-hospital mortality in patients with UC. Intestinal fistula and intestinal perforation were independent risk factors for in-hospital mortality in patients with CD. Conclusions In this cohort, the admissions of patients with UC and CD were increased, with significantly improved prognoses during the past 30 years.

scholarly journals Increasing newly diagnosed inflammatory bowel disease and improving prognosis in China: a 30-year retrospective study from a single center

2020 ◽  
Author(s):  
Hong Lv ◽  
Meng Jin ◽  
Huimin Zhang ◽  
Xuanfu Chen ◽  
Meixu Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Pearson Correlation ◽  
Cohort Analysis ◽  
Tertiary Hospital ◽  
Intestinal Fistula ◽  
Multivariable Logistic Regression Analysis ◽  
Newly Diagnosed ◽  
College Hospital ◽  
Independent Risk Factors

Abstract Background: We aimed to characterize the trends of prognosis in ulcerative colitis (UC) and Crohn’s disease (CD) in a Chinese tertiary hospital. Methods: A 30-year retrospective cohort analysis was conducted at Peking Union Medical College Hospital. Consecutive patients newly diagnosed with UC or CD from 1985 to 2014 were included. The primary outcome was in-hospital mortality. The secondary outcomes included surgery and length of stay in hospital. The Pearson correlation coefficient was applied to determine the relationship between time and prognosis. Multivariable logistic regression analysis was performed to determine the risk factors for in-hospital mortality and surgery. Results: In total, 1467 patients were included in this study (898 cases with UC and 569 cases with CD). Annual admissions for UC and CD have increased significantly over the last 30 years (UC, r=0.918, P<0.05; CD, r=0.898, P<0.05). Decreased in-hospital mortality was observed both in patients with UC and CD (UC, from 2.44% to 0.27%, r=-0.827, P<0.05; CD, from 12.50% to 0.00%, r=-0.978, P<0.05). A decreasing surgery rate was observed in patients with CD (r=-0.847, P<0.05), while an increasing surgery rate was observed in patients with UC (r=0.956, P<0.05). Shortened average lengths of hospital stay were observed in both UC and CD patients (UC, from 47.83±34.35 days to 23.58±20.05 days, r=-0.970, P<0.05; CD, from 65.50±50.57 days to 26.41±18.43 days, r=-0.913, P<0.05). Toxic megacolon and septic shock were independent risk factors for in-hospital mortality in patients with UC. Intestinal fistula and intestinal perforation were independent risk factors for in-hospital mortality in patients with CD. Conclusions: In this cohort, the admissions of patients with UC and CD were increased, with significantly improved prognoses during the past 30 years.

scholarly journals Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ming Li ◽  
Suochun Xu ◽  
Yang Yan ◽  
Haichen Wang ◽  
Jianjie Zheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Type A ◽  
Multivariable Logistic Regression Analysis ◽  
Hospital Deaths ◽  
Independent Risk Factors ◽  
D Dimer

AbstractThe aim of this study was to analyze the role of blood biomarkers regarding preoperative inflammation and coagulation in predicting the postoperative in-hospital mortality of patients with type A acute aortic dissection (AAD). A total of 206 patients with type A AAD who had received surgical treatment were enrolled in this study. Patients were divided into two groups: the death group (28 patients who died during hospitalization) and the survival group (178 patients). Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) were compared between the two groups. Univariable and multivariable logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of these indices in the postoperative in-hospital mortality of the patients. Univariable logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariable logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for postoperative in-hospital mortality of patients with type A AAD. ROC curve analysis indicated that application of combining FIB and PLT could improve accuracy in prediction of postoperative in-hospital mortality in patients with type A AAD. Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the postoperative in-hospital mortality of such patients. The combination of FIB and PLT may improve the accuracy of clinical prognostic assessment.

scholarly journals O6: EARLY ANASTOMOTIC BILIARY COMPLICATIONS AFTER LIVER TRANSPLANTATION

2021 ◽  
Vol 108 (Supplement_1) ◽  
Author(s):  
SJ Tingle ◽  
ER Thompson ◽  
SS Ali ◽  
IK Ibrahim ◽  
E Irwin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Liver Transplantation ◽  
Hospital Stay ◽  
Graft Survival ◽  
Cox Regression ◽  
Risk Groups ◽  
Biliary Complications ◽  
Anastomotic Strictures ◽  
Selection Of Variables ◽  
Independent Risk Factors

Abstract Introduction Biliary leaks and anastomotic strictures are common early biliary complications (EBC) following liver transplantation. However, their impact on outcomes remains controversial and poorly described. Method The NHS registry on adult liver transplantation between 2006 and 2017 was retrospectively reviewed (n=8304). Multiple imputations were performed to account for missing data. Adjusted regression models were used to assess predictors of EBC, and their impact on outcomes. 35 potential variables were included, and backwards stepwise selection enabled unbiased selection of variables for inclusion in final models. Result EBC occurred in 9.6% of patients. Adjusted cox regression revealed that EBCs have a significant and independent impact on graft survival (Leak HR=1.325; P=0.021, Stricture HR=1.514; P=0.002, Leak plus stricture HR=1.533; P=0.034) and patient survival (Leak HR=1.218; P=0.131, Stricture HR=1.578; P&lt;0.001, Leak plus stricture HR=1.507; P=0.044). Patients with EBC had longer median hospital stay (23 versus 15 days; P&lt;0.001) and increased chance for readmission within the first year (56% versus 32%; P&lt;0.001). On adjusted logistic regression the following were identified as independent risk factors for development of EBC: donation following circulatory death (OR=1.280; P=0.009), accessory hepatic artery (OR=1.324; P=0.005), vascular anastomosis time in minutes (OR=1.005; P=0.032) and ethnicity ‘other’ (OR=1.838; P=0.011). Conclusion EBCs prolong hospital stay, increase readmission rates and are independent risk factors for diminished graft survival and increased mortality in liver transplantation. We have identified factors that increase the likelihood of EBC occurrence; further research into interventions to prevent EBCs in these at-risk groups is vital to improve liver transplantation outcomes. Take-home message Using a large registry database we have shown that early anastomotic biliary complications are independent risk factors for decreased graft survival and increased mortality after liver transplantation. Research into interventions to prevent biliary complications in high risk groups are essential to improve liver transplant outcomes.

scholarly journals A New Preoperative Risk Score for Predicting Postoperative Complications in Elderly Patients Undergoing Hepatectomy

2021 ◽  
Author(s):  
Koichi Tomita ◽  
Itsuki Koganezawa ◽  
Masashi Nakagawa ◽  
Shigeto Ochiai ◽  
Takahiro Gunji ◽  
...  
Keyword(s):  
Risk Factors ◽  
Skeletal Muscle ◽  
Postoperative Complications ◽  
Elderly Patients ◽  
Risk Score ◽  
Surgical Procedure ◽  
Evaluation Method ◽  
Preoperative Risk ◽  
Preoperative Serum ◽  
Independent Risk Factors

Abstract Background Postoperative complications are not rare in the elderly population after hepatectomy. However, predicting postoperative risk in elderly patients undergoing hepatectomy is not easy. We aimed to develop a new preoperative evaluation method to predict postoperative complications in patients above 65 years of age using biological impedance analysis (BIA). Methods Clinical data of 59 consecutive patients (aged 65 years or older) who underwent hepatectomy at our institution between 2017 and 2020 were retrospectively analyzed. Risk factors for postoperative complications (Clavien-Dindo ≥ III) were evaluated using multivariate regression analysis. Additionally, a new preoperative risk score was developed for predicting postoperative complications. Results Fifteen patients (25.4%) had postoperative complications, with biliary fistula being the most common complication. Abnormal skeletal muscle mass index from BIA and type of surgical procedure were found to be independent risk factors in the multivariate analysis. These two variables and preoperative serum albumin levels were used for developing the risk score. The postoperative complication rate was 0.0% with a risk score of ≤ 1 and 57.1% with a risk score of ≥ 4. The area under the receiver operating characteristic curve of the risk score was 0.810 (p = 0.001), which was better than that of other known surgical risk indexes. Conclusion Decreased skeletal muscle and the type of surgical procedure for hepatectomy were independent risk factors for postoperative complications after elective hepatectomy in elderly patients. The new preoperative risk score is simple, easy to perform, and will help in the detection of high-risk elderly patients undergoing elective hepatectomy.

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