TY - JOUR
T1 - Age stratified analysis of pre-operative factors impacting unplanned thirty day readmission in geriatric general surgery
AU - Subramaniam, Sneha
AU - Aalberg, Jeffrey J.
AU - Divino, Celia M.
N1 - Publisher Copyright:
© 2018 Elsevier Inc.
PY - 2019/7
Y1 - 2019/7
N2 - Background: The geriatrics population can no longer be considered as one homogenous group when it comes to patient-centric and value-based care. We aim to determine if there are pre-operative factors which differ between geriatric age strata (65–74, 75–84, 85 + years) that impact unplanned thirty-day readmission. Methods: 2015 NSQIP general surgery procedure data was utilized. Chi Square and t-tests were utilized to see if certain pre-operative factors impacted readmission. Regressions with age strata as an interaction term were run to determine if age was an effect-modifier. Significant pre-operative factors were included in a multivariate model with step-wise selection for significant age-stratification interaction terms. Results: Gender, inpatient status, wound classification, disseminated cancer, origin status, functional status, and RVU were significantly impacted by age strata in unadjusted models. Gender, inpatient status, emergency, and transfer/origin status were significant in our adjusted model. Conclusions: Exogenous variables between age strata significantly impact unplanned thirty-day readmission in comparison to differing co-morbidity and symptomatology.
AB - Background: The geriatrics population can no longer be considered as one homogenous group when it comes to patient-centric and value-based care. We aim to determine if there are pre-operative factors which differ between geriatric age strata (65–74, 75–84, 85 + years) that impact unplanned thirty-day readmission. Methods: 2015 NSQIP general surgery procedure data was utilized. Chi Square and t-tests were utilized to see if certain pre-operative factors impacted readmission. Regressions with age strata as an interaction term were run to determine if age was an effect-modifier. Significant pre-operative factors were included in a multivariate model with step-wise selection for significant age-stratification interaction terms. Results: Gender, inpatient status, wound classification, disseminated cancer, origin status, functional status, and RVU were significantly impacted by age strata in unadjusted models. Gender, inpatient status, emergency, and transfer/origin status were significant in our adjusted model. Conclusions: Exogenous variables between age strata significantly impact unplanned thirty-day readmission in comparison to differing co-morbidity and symptomatology.
UR - http://www.scopus.com/inward/record.url?scp=85057355542&partnerID=8YFLogxK
U2 - 10.1016/j.amjsurg.2018.10.052
DO - 10.1016/j.amjsurg.2018.10.052
M3 - Article
C2 - 30503516
AN - SCOPUS:85057355542
SN - 0002-9610
VL - 218
SP - 77
EP - 81
JO - American Journal of Surgery
JF - American Journal of Surgery
IS - 1
ER -