William A Ranson1, Sean N Neifert2, Zoe B Cheung1, Christopher M Mikhail1, John M Caridi2, Samuel K Cho3. 1. Department of Orthopaedics, Mount Sinai Hospital, New York, New York, USA. 2. Department of Neurosurgery, Mount Sinai Hospital, New York, New York, USA. 3. Department of Orthopaedics, Mount Sinai Hospital, New York, New York, USA. Electronic address: Samuel.cho@mountsinai.org.
Abstract
OBJECTIVE: The objective of this study was to determine the ability of the Elixhauser Comorbidity Index (ECI) and Charlson Comorbidity Index (CCI) to predict postoperative complications after anterior cervical discectomy and fusion (ACDF). METHODS: This was a retrospective study of ACDF hospitalizations in the National Inpatient Sample from 2013 to 2014. The ECI and CCI were calculated, and patients who experienced postoperative complications were identified. The ability of these indexes to predict complications was compared using the c statistic (area under the receiver operating characteristic curve [AUC]). In addition, the CCI and ECI were compared with a base model that included age, sex, race, and primary payer. RESULTS: A total of 261,780 patients were included. Patients who experienced a complication were more often male (P < 0.0001) and older (P < 0.0001). They also had a higher comorbidity burden as assessed by both the ECI (P < 0.0001) and the CCI (P < 0.0001). The ECI was superior in predicting airway complications (AUC, 0.81 vs. 0.75; P < 0.0001), hemorrhagic anemia (AUC, 0.67 vs. 0.63; P = 0.0015), pulmonary embolism (AUC, 0.91 vs. 0.77; P < 0.0001), wound dehiscence (AUC, 0.80 vs. 0.55; P = 0.0080), sepsis (AUC, 0.87 vs. 0.82; P = 0.0001), and septic shock (AUC, 0.94 vs. 0.83; P < 0.0001). The CCI was not found to be superior to the ECI for predicting any complications. Both were excellent for predicting mortality (ECI AUC, 0.87; CCI AUC, 0.90). CONCLUSIONS: The ECI was superior to the CCI in predicting 6 of 15 complications in this study. Both are excellent tools for predicting mortality after ACDF.
OBJECTIVE: The objective of this study was to determine the ability of the Elixhauser Comorbidity Index (ECI) and Charlson Comorbidity Index (CCI) to predict postoperative complications after anterior cervical discectomy and fusion (ACDF). METHODS: This was a retrospective study of ACDF hospitalizations in the National Inpatient Sample from 2013 to 2014. The ECI and CCI were calculated, and patients who experienced postoperative complications were identified. The ability of these indexes to predict complications was compared using the c statistic (area under the receiver operating characteristic curve [AUC]). In addition, the CCI and ECI were compared with a base model that included age, sex, race, and primary payer. RESULTS: A total of 261,780 patients were included. Patients who experienced a complication were more often male (P < 0.0001) and older (P < 0.0001). They also had a higher comorbidity burden as assessed by both the ECI (P < 0.0001) and the CCI (P < 0.0001). The ECI was superior in predicting airway complications (AUC, 0.81 vs. 0.75; P < 0.0001), hemorrhagic anemia (AUC, 0.67 vs. 0.63; P = 0.0015), pulmonary embolism (AUC, 0.91 vs. 0.77; P < 0.0001), wound dehiscence (AUC, 0.80 vs. 0.55; P = 0.0080), sepsis (AUC, 0.87 vs. 0.82; P = 0.0001), and septic shock (AUC, 0.94 vs. 0.83; P < 0.0001). The CCI was not found to be superior to the ECI for predicting any complications. Both were excellent for predicting mortality (ECI AUC, 0.87; CCI AUC, 0.90). CONCLUSIONS: The ECI was superior to the CCI in predicting 6 of 15 complications in this study. Both are excellent tools for predicting mortality after ACDF.
Authors: Alec S Kellish; Alisina Shahi; Julio A Rodriguez; Kudret Usmani; Michael Boniello; Ali Oliashirazi; Kenneth Graf; Henry Dolch; David Fuller; Rakesh P Mashru Journal: Arch Bone Jt Surg Date: 2022-06
Authors: Alexander J Schupper; William H Shuman; Rebecca B Baron; Sean N Neifert; Emily K Chapman; Jeffrey Gilligan; Jonathan S Gal; John M Caridi Journal: Spine Deform Date: 2020-08-11
Authors: William H Shuman; Sean N Neifert; Jonathan S Gal; Daniel J Snyder; Brian C Deutsch; Jeffrey H Zimering; Robert J Rothrock; John M Caridi Journal: Global Spine J Date: 2020-10-09