TY - JOUR
T1 - Surgical apgar score predicts early complication in transfemoral amputees
T2 - Retrospective study of 170 major amputations
AU - Wied, Christian
AU - Foss, Nicolai Bang
AU - Kristensen, Morten T
AU - Holm, Gitte
AU - Kallemose, Thomas
AU - Troelsen, Anders
PY - 2016/12/18
Y1 - 2016/12/18
N2 - AIM To assess whether the surgical apgar score (SAS) is a prognostic tool capable of identifying patients at risk of major complications following lower extremity amputations surgery. METHODS This was a single-center, retrospective observational cohort study conducted between January 2013 and April 2015. All patients who had either a primary transtibial amputation (TTA) or transfemoral amputation (TFA) conducted at our institution during the study period were assessed for inclusion. All TTA patients underwent a standardized one-stage operative procedure (ad modum Persson amputation) performed approximately 10 cm below the knee joint. All TTA procedures were performed with sagittal flaps. TFA procedures were performed in one stage with amputation approximately 10 cm above the knee joint, performed with anterior/posterior flaps. Trained residents or senior consultants performed the surgical procedures. The SAS is based on intraoperative heart rate, blood pressure and blood loss. Intraoperative parameters of interest were collected by revising electronic health records. The first author of this study calculated the SAS. Data regarding major complications were not revealed to the author until after the calculation of SAS. The SAS results were arranged into four groups (SAS 0-4, SAS 5-6, SAS 7-8 and SAS 9-10). The cohort was then divided into two groups representing low-risk (SAS ≥ 7) and highrisk patients (SAS < 7) using a previously established threshold. The outcome of interest was the occurrence of major complications and death within 30-d of surgery. RESULTS A logistic regression model with SAS 9-10 as a reference showed a significant linear association between lower SAS and more postoperative complications [all patients: OR = 2.00 (1.33-3.03), P = 0.001]. This effect was pronounced for TFA [OR = 2.61 (1.52-4.47), P < 0.001]. A significant increase was observed for the high-risk group compared to the low-risk group for all patients [OR = 2.80 (1.40-5.61), P = 0.004] and for the TFA sub-group [OR = 3.82 (1.5-9.42), P = 0.004]. The AUC from the models were estimated as follows: All patients = [0.648 (0.562-0.733), P = 0.001], for TFA patients = [0.710 (0.606-0.813), P < 0.001] and for TTA patients = [0.472 (0.383-0.672), P = 0.528]. This indicates moderate discriminatory power of the SAS in predicting postoperative complications among TFA patients. CONCLUSION SAS provides information regarding the potential development of complications following TFA. The SAS is especially useful when patients are divided into high- and low-risk groups.
AB - AIM To assess whether the surgical apgar score (SAS) is a prognostic tool capable of identifying patients at risk of major complications following lower extremity amputations surgery. METHODS This was a single-center, retrospective observational cohort study conducted between January 2013 and April 2015. All patients who had either a primary transtibial amputation (TTA) or transfemoral amputation (TFA) conducted at our institution during the study period were assessed for inclusion. All TTA patients underwent a standardized one-stage operative procedure (ad modum Persson amputation) performed approximately 10 cm below the knee joint. All TTA procedures were performed with sagittal flaps. TFA procedures were performed in one stage with amputation approximately 10 cm above the knee joint, performed with anterior/posterior flaps. Trained residents or senior consultants performed the surgical procedures. The SAS is based on intraoperative heart rate, blood pressure and blood loss. Intraoperative parameters of interest were collected by revising electronic health records. The first author of this study calculated the SAS. Data regarding major complications were not revealed to the author until after the calculation of SAS. The SAS results were arranged into four groups (SAS 0-4, SAS 5-6, SAS 7-8 and SAS 9-10). The cohort was then divided into two groups representing low-risk (SAS ≥ 7) and highrisk patients (SAS < 7) using a previously established threshold. The outcome of interest was the occurrence of major complications and death within 30-d of surgery. RESULTS A logistic regression model with SAS 9-10 as a reference showed a significant linear association between lower SAS and more postoperative complications [all patients: OR = 2.00 (1.33-3.03), P = 0.001]. This effect was pronounced for TFA [OR = 2.61 (1.52-4.47), P < 0.001]. A significant increase was observed for the high-risk group compared to the low-risk group for all patients [OR = 2.80 (1.40-5.61), P = 0.004] and for the TFA sub-group [OR = 3.82 (1.5-9.42), P = 0.004]. The AUC from the models were estimated as follows: All patients = [0.648 (0.562-0.733), P = 0.001], for TFA patients = [0.710 (0.606-0.813), P < 0.001] and for TTA patients = [0.472 (0.383-0.672), P = 0.528]. This indicates moderate discriminatory power of the SAS in predicting postoperative complications among TFA patients. CONCLUSION SAS provides information regarding the potential development of complications following TFA. The SAS is especially useful when patients are divided into high- and low-risk groups.
KW - Journal Article
U2 - 10.5312/wjo.v7.i12.832
DO - 10.5312/wjo.v7.i12.832
M3 - Journal article
C2 - 28032037
SN - 2218-5836
VL - 7
SP - 832
EP - 838
JO - World Journal of Orthopedics
JF - World Journal of Orthopedics
IS - 12
ER -