Background/Objectives: Periprosthetic fractures (PFs) can occur in both the upper and lower limbs, commonly resulting from falls at the same level. The frequency of PFs following total hip arthroplasty (THA) ranges from 0.045% to 4.1%, and this incidence is influenced by several factors, including age, gender, the type of prosthesis used, and existing comorbidities. Previous studies on this subject have been small in scale and did not adequately address the associated comorbidities, which pose a challenge for the aging population. This study aims to comparatively assess the incidence of THA-related PFs, immediate postoperative complications, and comorbidities in patients with PFs from three emergency hospitals. Methods: A retrospective observational study was conducted from 1 January to 31 December 2024, in which 54 patients with PFs hospitalized in three emergency hospitals (Bucharest, Oradea, and Ploiești) were evaluated, divided into Group B (n = 29), Group O (n = 14), and Group P (n = 11). Results: Of all patients with PFs, 81.48% had minor complications—grade 1, 9.26% had grade 2 complications (complications requiring medical treatment or other minor interventions), and 3.70% had complications requiring surgery or invasive procedures. Clavien–Dindo grade 5 (patient death) had an incidence of 3.70%. Cardiac pathology was the most common pathology; hypertension predominated in Group O (42.85%). Alzheimer’s disease was associated in 7 patients (12.96%). Without associated pathology, about 13% of patients were identified. Diabetes mellitus also occurred frequently in 31.50%. Data analysis indicates a very weak positive correlation between the Dindo Index and the Charlson Comorbidity Index (r = 0.046), which is not statistically significant (p = 0.628). The effect size, measured by Fisher’s z, is also reported as 0.046. Conclusions: No significant differences were found among the evaluated centers regarding therapeutic approaches, postoperative complications, and associated comorbidities. Furthermore, there is insufficient evidence to suggest a significant association between the Charlson Comorbidity Index and the Clavien–Dindo Index.

Background/Objectives: Periprosthetic fractures (PFs) are serious complications that can occur after total hip arthroplasty (THA), particularly in elderly patients who often have multiple comorbidities and low bone density. The surgical treatment of PFs typically involves internal fixation or revision arthroplasty, depending on the fracture type categorized by the Vancouver classification. This study examines the annual incidence of PFs and the complications that arise during hospitalization, as well as the predictive role of age in the occurrence of these fractures and their associated complications. Methods: Based on a retrospective observational study conducted over three years (2021–2023) at the Bihor County Emergency Hospital in Oradea, we analyzed 783 patients who underwent various hip surgeries. Results: The retrospective analysis identified 38 cases of PF out of 768 hip surgeries, resulting in an incidence of PF of 4.5%. Most PFs were classified as Vancouver B, with surgeries mainly involving internal fixation. Complications occurred in 23.68% of cases, including a mortality rate of 7.90%. A correlation analysis examining the relationship between age and post-surgical complications demonstrates a weak and statistically insignificant association (r = 0.120, p = 0.478). To highlight whether age is a predictive factor for PFs, we used the linear regression model; this suggests that older age explains 2.7% of the total variability in the incidence of PFs, being statistically significant ([F(1, 766) = 20.923], p < 0.001). Conclusions: The rising incidence of periprosthetic fractures is closely linked to the increasing number of total hip arthroplasties and the aging population. Fractures of this type are more common in elderly women, with no statistically significant differences have been found between the sexes.

Background and Objectives: Spinal cord lesion is a severe disorder of the central nervous system, leading to partial or complete interruption of nerve impulse transmission between the brain and the periphery and causing severe neurological and functional deficits. Conventional rehabilitation offers limited outcomes, while robotic gait training (Lokomat^®) and Vojta Therapy have shown benefits individually. Evidence on their combined effect remains scarce. To evaluate the combined effect of Vojta Therapy and Lokomat-assisted gait training on motor recovery, functional independence, and quality of life in SCL patients. Materials and Methods: A retrospective clinical study was conducted on 205 patients with traumatic and non-traumatic SCL. Patients were allocated to four groups: (F)—conventional rehabilitation; (V)—conventional + Vojta; (L)—conventional + Lokomat; (VL)—conventional + Vojta + Lokomat. Assessments included the ASIA Impairment Scale (AIS), ASIA motor/sensory scores, spasticity (Modified Ashworth Scale, MAS), functional independence (Functional Independence Measure, FIM), and health-related quality of life (EQ-5D), performed at admission and discharge. Statistical analyses comprised paired t-tests, Wilcoxon signed-rank tests, chi-square tests, Kruskal–Wallis with Dunn’s post hoc corrections, and linear regression. Results: The most frequent lesion levels were C7 (21%) and L1 (20%). All groups showed improvement in FIM scores, with the greatest gains in the VL group (from 79.25 to 84.79, p < 0.05). Post hoc analysis confirmed significantly higher FIM outcomes in VL compared with L. Regression analysis identified the ASIA motor score as the strongest predictor of functional independence (β = 0.76, p < 0.001), with VL group membership adding +10.3 points (p = 0.004). EQ-5D indicated persistent deficits in mobility and self-care, especially in VL patients, consistent with higher lesion severity. Conclusions: Combining Vojta Therapy with Lokomat training provides additional functional benefits compared with Lokomat or Vojta alone. Multimodal individualized rehabilitation appears promising for patients with spinal cord lesions. Prospective randomized controlled trials with long-term follow-up are warranted.

Background/Objectives: Low back pain (LBP) is a leading cause of disability worldwide and is influenced by multiple biological and functional factors. While pain intensity is a well-established determinant of disability, the contribution of body composition and relative skeletal muscle mass remains insufficiently understood. This study aimed to investigate the associations between body composition parameters, Muscle-to-Weight Ratio (MWR), pain intensity, and functional disability in patients with LBP and to explore sex-related differences in these variables. Methods: A cross-sectional observational study was conducted in 98 adults with chronic non-specific LBP recruited from a rehabilitation department in Romania. Anthropometric and body composition measurements were obtained using bioelectrical impedance analysis (BIA). Pain intensity was assessed using the Visual Analogue Scale (VAS), and functional disability was evaluated using the Roland–Morris Disability Questionnaire (RMDQ). The MWR was calculated as skeletal muscle mass divided by body weight and expressed as a percentage. Sex comparisons, correlation analyses, and multiple linear regression analyses were performed. Results: The mean age of participants was 61.9 ± 10.0 years, and 53.1% were female. Female participants reported significantly higher pain intensity than males (60.5 ± 31.0 vs. 44.2 ± 35.5; p = 0.021) and demonstrated a different distribution of disability severity categories compared with males (Fisher–Freeman–Halton exact p = 0.021). Pain intensity showed the strongest positive correlation with disability (r = 0.56, p < 0.001), whereas MWR was negatively correlated with disability (r = −0.34, p = 0.001). In multivariable regression analysis, pain intensity (β = 0.49, p < 0.001), age (β = 0.22, p = 0.013), and MWR (β = −0.27, p = 0.018) remained significantly associated with disability after adjustment for sex and body fat percentage. The model explained 43.2% of the variance in RMDQ scores (R² = 0.432). Conclusions: Pain intensity, age, and MWR were significantly associated with functional disability in patients with chronic non-specific LBP. Lower MWR values were associated with greater disability after adjustment for age, sex, body fat percentage, and pain intensity. These findings suggest that assessment of body composition and MWR may provide additional information when evaluating patients with chronic non-specific low back pain. However, the cross-sectional design precludes conclusions regarding causality.

Background and Objectives: Wearable health technologies have become increasingly important in the remote management of cardiovascular diseases (CVDs); however, their successful implementation depends not only on technical performance but also on patient usability and technology acceptance. This study aimed to evaluate the perceived usability and technology acceptance of a wearable monitoring system among patients with CVDs and to investigate whether demographic and clinical characteristics influenced these outcomes. Materials and Methods: A cross-sectional observational study was conducted among 60 patients with CVDs enrolled in a six-month wearable monitoring program at the Medical Rehabilitation Outpatient Clinic of the Avram Iancu Clinical Hospital, Oradea, Romania. Participants used a Garmin vívosmart^® 5 fitness tracker to continuously monitor physiological and behavioral parameters. At the end of the monitoring period, perceived ease of use (PEU) was assessed using the System Usability Scale (SUS), while technology acceptance was evaluated using a Technology Acceptance Model (TAM)-based questionnaire. Descriptive statistics, reliability analysis, Spearman’s rank correlation, and multiple linear regression analyses were performed. Results: The wearable monitoring system demonstrated high PEU, with a median SUS score of 82.5 (IQR = 23.1) and a mean score of 75.5 ± 17.6. Overall, 75.0% of participants rated the system as having good or excellent usability. The SUS questionnaire demonstrated acceptable internal consistency (Cronbach’s α = 0.730; McDonald’s ω = 0.741). Technology acceptance was generally favorable, with an overall median TAM-based score of 1.33 (IQR = 0.78). Age and comorbidity burden were not associated with PEU, and no participant characteristics independently predicted SUS scores. Although the overall regression model was not statistically significant, age showed a statistically significant association with the overall TAM-based score (β = 0.328, p = 0.037). Significant positive correlations were observed between PU, self-efficacy (SE), and reverse-scored technology anxiety (TA) measure (p < 0.001). Conclusions: Patients with CVDs reported high PEU and favorable acceptance of wearable monitoring technology. While usability appeared independent of demographic and clinical characteristics, technology acceptance showed an exploratory association with age, although the overall regression model was not statistically significant. These findings support the integration of wearable monitoring systems into routine cardiovascular care and highlight the importance of patient-centered implementation strategies to promote long-term engagement.

Background: Aging is associated with increased adiposity, sarcopenia risk, and metabolic vulnerability. Digital tools may enhance adherence to nutritional strategies, but their impact on detailed body composition remains insufficiently explored. Methods: This 6-month prospective controlled longitudinal intervention study included 60 middle-aged and older adults. All participants received a smart watch and smart scale for self-monitoring. The control group attended evaluations only at baseline and study completion, while the intervention group received monthly follow-up and remote feedback. Body composition was assessed using multi-frequency BIA. Statistical analyses included paired tests, effect sizes, correlations, and linear mixed-effects models. Results: Significant reductions were observed in BMI (p < 0.001), fat mass (p = 0.003), and visceral fat (p = 0.003; Cohen’s d = 0.41). The sarcopenic index improved (p = 0.001), while skeletal muscle mass remained stable. ECW increased significantly (p = 0.010). Age was inversely associated with the magnitude of improvement. Mixed-effects modeling confirmed a time-dependent reduction in visceral fat independent of age and sex. Conclusions: A 6-month digitally assisted nutritional monitoring program was associated with favorable changes in adiposity, muscle quality, and hydration status. Multi-frequency BIA provides valuable integrative markers for monitoring nutritional interventions in aging populations.