BACKGROUND: As the implementation of exclusive acute care surgery (ACS) services thrives, prognostication for mortality and morbidity will be important to complement clinical management of these diverse and complex patients. Our objective is to investigate prognostic risk factors from patient level characteristics and clinical presentation to predict outcomes including mortality, postoperative complications, intensive care unit (ICU) admission and prolonged duration of hospital stay. METHODS: Retrospective review of all emergency general surgery admissions over a 1-year period at a large teaching hospital was conducted. Factors collected included history of present illness, physical exam and laboratory parameters at presentation. Univariate analysis was performed to examine the relationship between each variable and our outcomes with chi-square for categorical variables and the Wilcoxon rank-sum statistic for continuous variables. Multivariate analysis was performed using backward stepwise logistic regression to evaluate for independent predictors. RESULTS: A total of 527 ACS admissions were identified with 8.1% requiring ICU stay and an overall crude mortality rate of 3.04%. Operative management was required in 258 patients with 22% having postoperative complications. Use of anti-coagulants, systolic blood pressure <90, hypothermia and leukopenia were independent predictors of in-hospital mortality. Leukopenia, smoking and tachycardia at presentation were also prognostic for the development of postoperative complications. For ICU admission, use of anti-coagulants, leukopenia, leukocytosis and tachypnea at presentation were all independent predictive factors. A prolonged length of stay was associated with increasing age, higher American Society of Anesthesiologists class, tachycardia and presence of complications on multivariate analysis. CONCLUSIONS: Factors present at initial presentation can be used to predict morbidity and mortality in ACS patients.
BACKGROUND: As the implementation of exclusive acute care surgery (ACS) services thrives, prognostication for mortality and morbidity will be important to complement clinical management of these diverse and complex patients. Our objective is to investigate prognostic risk factors from patient level characteristics and clinical presentation to predict outcomes including mortality, postoperative complications, intensive care unit (ICU) admission and prolonged duration of hospital stay. METHODS: Retrospective review of all emergency general surgery admissions over a 1-year period at a large teaching hospital was conducted. Factors collected included history of present illness, physical exam and laboratory parameters at presentation. Univariate analysis was performed to examine the relationship between each variable and our outcomes with chi-square for categorical variables and the Wilcoxon rank-sum statistic for continuous variables. Multivariate analysis was performed using backward stepwise logistic regression to evaluate for independent predictors. RESULTS: A total of 527 ACS admissions were identified with 8.1% requiring ICU stay and an overall crude mortality rate of 3.04%. Operative management was required in 258 patients with 22% having postoperative complications. Use of anti-coagulants, systolic blood pressure <90, hypothermia and leukopenia were independent predictors of in-hospital mortality. Leukopenia, smoking and tachycardia at presentation were also prognostic for the development of postoperative complications. For ICU admission, use of anti-coagulants, leukopenia, leukocytosis and tachypnea at presentation were all independent predictive factors. A prolonged length of stay was associated with increasing age, higher American Society of Anesthesiologists class, tachycardia and presence of complications on multivariate analysis. CONCLUSIONS: Factors present at initial presentation can be used to predict morbidity and mortality in ACS patients.
Authors: Harrison F Kay; Silky Chotai; Joseph B Wick; David P Stonko; Matthew J McGirt; Clinton J Devin Journal: Eur Spine J Date: 2015-08-27 Impact factor: 3.134
Authors: James Malycha; Timothy Bonnici; David A Clifton; Guy Ludbrook; J Duncan Young; Peter J Watkinson Journal: BMC Med Inform Decis Mak Date: 2019-05-15 Impact factor: 2.796
Authors: Federico Coccolini; Mario Improta; Massimo Sartelli; Kemal Rasa; Robert Sawyer; Raul Coimbra; Massimo Chiarugi; Andrey Litvin; Timothy Hardcastle; Francesco Forfori; Jean-Louis Vincent; Andreas Hecker; Richard Ten Broek; Luigi Bonavina; Mircea Chirica; Ugo Boggi; Emmanuil Pikoulis; Salomone Di Saverio; Philippe Montravers; Goran Augustin; Dario Tartaglia; Enrico Cicuttin; Camilla Cremonini; Bruno Viaggi; Belinda De Simone; Manu Malbrain; Vishal G Shelat; Paola Fugazzola; Luca Ansaloni; Arda Isik; Ines Rubio; Itani Kamal; Francesco Corradi; Antonio Tarasconi; Stefano Gitto; Mauro Podda; Anastasia Pikoulis; Ari Leppaniemi; Marco Ceresoli; Oreste Romeo; Ernest E Moore; Zaza Demetrashvili; Walter L Biffl; Imitiaz Wani; Matti Tolonen; Therese Duane; Sameer Dhingra; Nicola DeAngelis; Edward Tan; Fikri Abu-Zidan; Carlos Ordonez; Yunfeng Cui; Francesco Labricciosa; Gennaro Perrone; Francesco Di Marzo; Andrew Peitzman; Boris Sakakushev; Michael Sugrue; Marja Boermeester; Ramiro Manzano Nunez; Carlos Augusto Gomes; Miklosh Bala; Yoram Kluger; Fausto Catena Journal: World J Emerg Surg Date: 2021-08-09 Impact factor: 5.469