AIM: To investigate outcomes and predictors of inhospital morbidity and mortality after total pancreatectomy(TP) and islet autotransplantation. METHODS: The nationwide inpatient sample(NIS) database was used to identi...AIM: To investigate outcomes and predictors of inhospital morbidity and mortality after total pancreatectomy(TP) and islet autotransplantation. METHODS: The nationwide inpatient sample(NIS) database was used to identify patients who underwent TP and islet autotransplantation(IAT) between 2002-2012 in the United States. Variables of interest were inherent variables of NIS database which included demographic data(age, sex, and race), comorbidities(such as diabetes mellitus, hypertension, and deficiency anemia), and admission type(elective vs nonelective). The primary endpoints were mortality and postoperative complications according to the ICD-9 diagnosis codes which were reported as the second to 25 th diagnosis of patients in the database. Risk adjusted analysis was performed to investigate morbidity predictors. Multivariate regression analysis was used to identify predictors of in-hospital morbidity.RESULTS: We evaluated a total of 923 patients who underwent IAT after pancreatectomy during 2002-2012. Among them, there were 754 patients who had TP + IAT. The most common indication ofsurgery was chronic pancreatitis(86%) followed by acute pancreatitis(12%). The number of patients undergoing TP + IAT annually significantly increased during the 11 years of study from 53 cases in 2002 to 155 cases in 2012. Overall mortality and morbidity of patients were 0% and 57.8 %, respectively. Postsurgical hypoinsulinemia was reported in 42.3% of patients, indicating that 57.7% of patients were insulin independent during hospitalization. Predictors of inhospital morbidity were obesity [adjusted odds ratio(AOR): 3.02, P = 0.01], fluid and electrolyte disorders(AOR: 2.71, P < 0.01), alcohol abuse(AOR: 2.63, P < 0.01), and weight loss(AOR: 2.43, P < 0.01). CONCLUSION: TP + IAT is a safe procedure with no mortality, acceptable morbidity, and achieved high rate of early insulin independence. Obesity is the most significant predictor of in-hospital morbidity.展开更多
文摘AIM: To investigate outcomes and predictors of inhospital morbidity and mortality after total pancreatectomy(TP) and islet autotransplantation. METHODS: The nationwide inpatient sample(NIS) database was used to identify patients who underwent TP and islet autotransplantation(IAT) between 2002-2012 in the United States. Variables of interest were inherent variables of NIS database which included demographic data(age, sex, and race), comorbidities(such as diabetes mellitus, hypertension, and deficiency anemia), and admission type(elective vs nonelective). The primary endpoints were mortality and postoperative complications according to the ICD-9 diagnosis codes which were reported as the second to 25 th diagnosis of patients in the database. Risk adjusted analysis was performed to investigate morbidity predictors. Multivariate regression analysis was used to identify predictors of in-hospital morbidity.RESULTS: We evaluated a total of 923 patients who underwent IAT after pancreatectomy during 2002-2012. Among them, there were 754 patients who had TP + IAT. The most common indication ofsurgery was chronic pancreatitis(86%) followed by acute pancreatitis(12%). The number of patients undergoing TP + IAT annually significantly increased during the 11 years of study from 53 cases in 2002 to 155 cases in 2012. Overall mortality and morbidity of patients were 0% and 57.8 %, respectively. Postsurgical hypoinsulinemia was reported in 42.3% of patients, indicating that 57.7% of patients were insulin independent during hospitalization. Predictors of inhospital morbidity were obesity [adjusted odds ratio(AOR): 3.02, P = 0.01], fluid and electrolyte disorders(AOR: 2.71, P < 0.01), alcohol abuse(AOR: 2.63, P < 0.01), and weight loss(AOR: 2.43, P < 0.01). CONCLUSION: TP + IAT is a safe procedure with no mortality, acceptable morbidity, and achieved high rate of early insulin independence. Obesity is the most significant predictor of in-hospital morbidity.
