Prospective evaluation of health-related quality of life in geriatric trauma patients.

BACKGROUND: Frailty is an established predictor of adverse outcomes in geriatric patients. Health-related quality of life (HRQoL) is an important outcome measure among trauma patients. This prospective observational study examined the impact of frailty on health-related quality of life in geriatric trauma patients. METHODS: We prospectively enrolled geriatric (age ≥65 years) trauma patients. We calculated the frailty index (FI) within 24 hours of admission using the trauma-specific frailty index. Patients were stratified into frail (frailty index ≥0.27) and nonfrail (frailty index <0.27). Health-related quality of life was calculated at discharge and at 30 days (day) after discharge using the RAND Short Form-36 (SF-36). Outcome measures were health-related quality of life at discharge, 30-days postdischarge, and delta health-related quality of life. Regression analysis was performed to control for demographic, vital signs, and injury parameters. RESULTS: We enrolled 296 patients. The mean age was 75.1 ± 9.8 years, 59% were male, and 81% were white. Frail patients accounted for 34%, and they had a lower health-related quality of life at discharge (366 vs 548, P < .01) and at 30-day postdischarge (393 vs 744, P < .01). Nonfrail patients scored higher in 6 out of 8 domains of health-related quality of life. Nonfrail patients had improved delta health-related quality of life (P < .01), unlike frail patients (P = .11). A linear regression model revealed an inverse relationship between frailty and improvement in health-related quality of life over 30-day postdischarge (ß = -0.689, [confidence interval, -0.963 to -0.329] P = .01). This association remained statistically significant after controlling for potential confounding covariates, such as age, sex, race, and injury severity. CONCLUSION: Compared with nonfrail geriatric trauma patients, those who were frail had poor health-related quality of life at discharge and at 30-day postdischarge. Frailty negatively affects the recovery of health-related quality of life after trauma. The use of frailty indices may help identify and develop targeted interventions to improve health-related quality of life among geriatric trauma patients.

Geriatric rescue after surgery (GRAS) score to predict failure-to-rescue in geriatric emergency general surgery patients.

BACKGROUND: Geriatric-patients(GP) undergoing emergency-general-surgery(EGS) are vulnerable to develop adverse-outcomes. Impact of patient-level-factors on Failure-to-Rescue(FTR) in EGS-GP remains unclear. Aim of our study was to determine factors associated with FTR(death from major-complication) and devise simple-bedside-score that predicts FTR in EGS-GP. METHODS: 3-year(2013-15) analysis of patients, age≥65y on acute-care-surgery-service and underwent EGS. Regression analysis used to analyze factors associated with FTR and natural-logarithm of significant odds-ratio used to calculate estimated-weights for each factor. Geriatric-Rescue-After-Surgery(GRAS)-score calculated for each-patient. AUROC used to assess model discrimination. RESULTS: 725 EGS-patients analyzed. 44.6%(n = 324) had major-complications. The FTR-rate was 11.5%. Overall-mortality rate was 15.3%. On regression, significant-factors with their estimated-weights were:Age≥80y(2), Chronic-Obstructive-Pulmonary-Disease(COPD)(1), Chronic-renal-failure(CRF)(2), Congestive-heart-failure(CHF)(1), Albumin<3.5(1) and ASA score>3(2). AUROC of score was 0.787. CONCLUSION: GRAS-score is first score based on preoperative assessment that can reliably predict FTR in EGS-GP. Preoperative identification of patients at increased-risk of FTR can help in risk-stratification and timely-mobilization of resources for successful rescue of these patients.