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Abstract Hip fractures (HFx) are associated with a higher morbidity and mortality rates, leading to a significant reduction in life quality and in limitation of patient´s mobility. The present study aimed to obtain real-world evidence on the clinical characteristics of patients with an initial and a second hip fracture (HFx) and develop a predictive model for second HFx using artificial intelligence. Electronic health records from one hospital centre in Spain from January 2011 to December 2019 were analysed using EHRead® technology, based on natural language processing and machine learning. A total of 1,960 patients with HFx were finally included during the study period after meeting all inclusion and exclusion criteria. From this total, 1835 (93.6%) patients were included in the HFx subgroup, while 124 (6.4%) were admitted to the second HFx (2HFx) subgroup. The mean age of the participants was 84 years and 75.5% were female. Most of comorbidities were more frequently identified in the HFx group, including hypertension (72.0% vs. 67.2%), cognitive impairment (33.0% vs. 31.2%), diabetes mellitus (28.7% vs. 24.8%), heart failure (27.6% vs. 22.4%) and chronic kidney disease (26.9% vs. 16.0%). Based on clinical criteria, 26 features were selected as potential prediction factors. From there, 16 demographics and clinical characteristics such as comorbidities, medications, measures of disabilities for ambulation and type of refracture were selected for development of a competitive risk model. Specifically, those predictors with different associated risk ratios, sorted from higher to lower risk relevance were visual deficit, malnutrition, walking assistance, hypothyroidism, female sex, osteoporosis treatment, pertrochanteric fracture, dementia, age at index, osteoporosis, renal failure, stroke, COPD, heart disease, anaemia, and asthma. This model showed good performance (dependent AUC: 0.69; apparent performance: 0.75) and could help the identification of patients with higher risk of developing a second HFx, allowing preventive measures. This study expands the current available information of HFx patients in Spain and identifies factors that exhibit potential in predicting a second HFx among older patients.

BackgroundOur aim was to analyze the effects of a multicomponent exercise program (MEP) on frailty and physical performance in older adults with HIV (OAWH) since exercise can reverse frailty in the older population overall, but there is no data for OAWH.MethodsA prospective longitudinal study with intervention and control group was designed. Sedentary adults 50 or over with and without HIV were included. The intervention was a 12-week home-based MEP. Dependent variables were frailty (frailty phenotype), physical performance (Senior Fitness Test), muscle mass (ASMI) by bioimpedance. Pre- and postintervention measurements were analyzed using McNemar’s test for categorical variables and the Wilcoxon signed-rank test for quantitative variables.Results40 OAWH and 20 OA without HIV. The median age was 56.5 years. 23.3% were women. The prevalence of frailty was 6.6% with no frail HIV-negative participants. Three of the four frail HIV-participants transitioned two (50%) from frail to prefrail and one (25%) to robust after the MEP. In participants with an adherence ≥50%, physical performance was significantly improved [basal vs. 12 week]: upper extremity strength [13 (13–15) vs. 16 (15–19), p = 0.0001], lower extremity strength [13 (11–16) vs. 15 (13–16), p = 0.004], aerobic endurance [62 (55–71) vs. 66 (58–80), p = 0.005]. Participants with low adherence experienced a significant worsening in ASMI [8.35 (7.44–9.26) vs. 7.09 (6.08–8.62), p = 0.03].ConclusionA 12-week MEP enhances frailty by increasing robustness in OAWH, and improves physical performance, and preserves muscle mass in older adults with good adherence to the MEP independently of HIV status.Clinical trial number: NCT 05435521

Objectives: The main objective was to analyze the evolution of muscle of the Quadriceps Rectus Femoris (QRF) between admission and discharge, in older adults hospitalized with an acute medical disease in Acute Geriatric Units (AGUs). Design: Prospective multicentric observational cohort study. Setting: Seven AGUs from University Hospitals in Spain. Participants: Hospitalized adults ≥ 70 years old, able to ambulate and without severe dementia. Measurements: Ultrasound measurements of QRF were acquired at 2/3 distal between anterior-superior iliac spine and patella in both legs by trained Geriatricians. Ultrasound Chison model ECO2 was used. QRF area, thickness, edema, echogenicity, and fasciculations were measured. Results: From the complete sample (n = 143), in 45 (31.5%) participants, ultrasound images were classified as non-valid by an expert radiologist. Mean age was 87.8 (SD 5.4). Mean hospital stay 7.6 days (SD 4.3). From those with valid images, 36 (49.3%), 2 (2.7%), and 35 (47.9%) presented a decrease, equal values, or an increase in QRF area from baseline to discharge, respectively, and 37 (50.0%), 2 (2.7%), and 35 (47.3%) presented a decrease, equal values, or an increase in QRF thickness, respectively. 26 (35.6%) presented a decrease in more than 0.2 cm2 of QRF area, and 23 (31.1%) a decrease in more than 0.1 cm of QRF thickness. Only 4 (5.4%) patients presented new edema, while 13 (17.6%) worsened echogenicity. Conclusion: One third of older adults develop significant muscle loss during a hospitalization for acute medical diseases. Trial registration number: NCT05113758