30-day mortality after hip fracture surgery: Influence of postoperative factors.

PURPOSE: The 30-day mortality rate after hip fracture surgery has been considered as an indirect indicator of the quality of care. The aim of this work is to analyse preoperative and postoperative factors potentially related to early 30-day mortality in patients over 65 undergoing hip fracture surgery. METHODS: Prospective cohort study including all consecutive primary hip fracture patients over 65 admitted to Trauma and Orthopaedics department from January 1, 2018 to December 31, 2019. Bed-ridden, non- surgically treated patients, and high energy trauma or tumoral aetiology fractures were excluded. A total of 943 patients were eligible (attrition rate: 2.1%). Follow-up included 30-days after discharge. We noted the 30-day mortality after hip fracture surgery, analysing 130 potentially related variables including biodemographic, fracture-related, preoperative, and postoperative clinical factors. Qualitative variables were assessed by χ2, and quantitative variables by non-parametric tests. Odds ratio determined by binary logistic regression. We selected preventable candidate variables for multivariate risk assessment by logistic regression. RESULTS: A total of 923 patients were enrolled (mean age 86.22±6.8, 72.9% women). The 30-day mortality rate was 6.0%. We noted significant increased mortality on men (OR = 2.381[1.371-4.136], p = 0.002), ageing patients (ORyear = 1.073[1.025-1.122], p = 0.002), and longer time to surgery (ORday = 1.183[1.039-1146], p<0.001), on other 20 preoperative clinical variables, like lymphopenia (lymphocyte count <103/µl, OR = 1.842[1.063-3.191], p = 0.029), hypoalbuminemia (≤3.5g/dl, OR = 2.474[1.316-4.643], p = 0.005), and oral anticoagulant intake (OR = 2.499[1.415-4.415], p = 0.002), and on 25 postoperative clinical variables, like arrhythmia (OR = 13.937[6.263-31.017], p<0.001), respiratory insufficiency (OR = 7.002[3.947-12.419], p<0.001), hyperkalaemia (OR = 10.378[3.909-27.555], p<0.001), nutritional supply requirement (OR = 3.576[1.894-6.752], p = 0.021), or early arthroplasty dislocation (OR = 6.557[1.206-35.640], p = 0.029). We developed a predictive model for early mortality after hip fracture surgery based on postoperative factors with 96.0% sensitivity and 60.7% specificity (AUC = 0.863). CONCLUSION: We revealed that not only preoperative, but also postoperative factors have a great impact after hip fracture surgery. The influence of post-operative factors on 30-day mortality has a logical basis, albeit so far they have not been identified or quantified before. Our results provide an advantageous picture of the 30-day mortality after hip fracture surgery.

Time to Surgery Reduction in Hip Fracture Patients on an Integrated Orthogeriatric Unit: A Comparative Study of Three Healthcare Models.

OBJECTIVE: To investigate the clinical efficacy of three different healthcare models (Traditional Model, Geriatric Consultant Model, and Orthogeriatric Unit Model) consecutively applied to a single academic center (University Hospital of Salamanca, Spain) for older hip fracture patients. METHODS: We performed a retrospective study, including 2741 hip fracture patients older than 64 years, admitted between 1 January 2003 and 31 December 2014 to the University Hospital of Salamanca. Patients were divided into three groups according to the healthcare model applied. There were 983 patients on the Traditional Model, 945 patients on the Geriatric Consultant Model, and 813 patients on the Orthogeriatric Unit Model. We recorded age and gender of patients, functional status at admission (Barthel Index, Katz Index, and Physical Red Cross Scale), type of fracture, and intervention, and we analyzed the length of stay, time to surgery, post-surgical stay, and in-hospital mortality according to the healthcare model applied. RESULTS: Hip fractures are much more frequent in women, and an increase in the average age of patients was observed along with the study (P < 0.001). The most common type of fracture in the three models studied was an extracapsular fracture, for which the most common surgical procedure used was osteosynthesis. On the functional status of patients, there were no differences on the ambulatory ability previous to fracture, measured by the Physical Red Cross Scale, and the percentage of patients with a slight dependence determined by the Barthel Index (>60) was similar in both groups, but considering the Katz Index, the percentage of patients with a high degree of independence (A-B) was significantly higher for the group of patients treated on the Orthogeriatric Unit Model period (56%, P = 0.009). The Orthogeriatric Unit Model registered the greatest percentage of patients undergoing surgery (96.1%, P < 0.001) and the greatest number of early surgical procedures (<24 h) (24.8%, P < 0.001). The orthogeriatric unit model showed the shortest duration of stay (9 days median), decreasing by one day in respect of each of the other models studied (P < 0.001). Time to surgery was also significantly reduced with the Orthogeriatric Unit Model (median of 3 days, P < 0.001). With regard to in-hospital follow-up, there was a reduction in in-hospital mortality during the study period. We observed differences among the three healthcare models, but without statistical significance. CONCLUSIONS: The healthcare model based on an Orthogeriatric Unit seems to be the most efficient, because it reaches a reduction in time to surgery, with an increased number of patients surgically treated on in the first 24 h, and the greatest frequency of surgically-treated patients.

Geriatric scores can predict long-term survival rate after hip fracture surgery.

BACKGROUND: The management of hip fractures is nowadays mainly performed in Orthogeriatric Units, one of whose fundamental tools is the application of geriatric scores. The purpose of this study is to establish the potential usefulness of Barthel Index, Katz Index, Lawton-Brody Index and Physical Red Cross Scale geriatric scores as predictors of survival rate and readmission rate in older patients after hip fracture surgery. METHODS: We designed a prospective single-center observational study, including 207 older adults over age 65 who underwent hip fracture surgery in the first half of 2014 and followed up to September 2018. Cumulative survival and readmission rates were analyzed by Kaplan-Meier; group comparison, by Log-Rank and hazard ratio, by Cox regression. RESULTS: We found statistical differences (p < 0.001) for cumulative survival rate by every geriatric score analyzed (BI HR = 0.98 [0.97,0.99]; KI HR = 1.24 [1.13-1.37]; LBI HR = 1.25 [1.16, 1.36]; PCRS HR = 1.67 [1.37,2.04]). Furthermore, we could determinate an inflection point for survival estimation by Barthel Index (BI 0-55/60-100*, p < 0.001, HR = 2.37 [1.59,3.53]), Katz Index (KI A-B*/C-G, p < 0.001, HR = 2.66 [1.80, 3.93], and Lawton-Brody Index (LBI 0-3/4-8*, p < 0.001, HR = 3.40 [2.09,5.25]). We reveal a correlation of the Charlson Index (p = 0.002) and Katz Index (p = 0.041) with number of readmissions for the study period. CONCLUSIONS: The geriatric scores analyzed are related to the cumulative survival rate after hip fracture surgery for more than 4 years, independently of other clinical and demographic factors. Katz Index in combination with Charlson Index could also be a potential predictor of the number of readmissions after surgery for hip fracture patients.