Annals of Rehabilitation Medicine-ARM最新文献

Objective: To determine the association between health-related quality of life (HRQOL) and neck pain, kinesiophobia, and modalities of physical activity in individuals with postoperative degenerative cervical myelopathy and radiculopathy (DCM/R) because postoperative pain after cervical spine surgery is likely to persist, causing kinesiophobia and avoidance of physical activity.

Methods: A questionnaire was distributed to 280 individuals with DCM/R. The questionnaire comprised the following four items: HRQOL (EuroQol 5-dimensions 5-level), neck pain (numerical rating scale [NRS]), kinesiophobia (11-item Tampa Scale for Kinesiophobia [TSK-11]), and physical activity (paid work, light exercise, walking, strength training, and gardening). Hierarchical multiple regression analysis was performed using the NRS, TSK-11, and physical activity as independent variables.

Results: In total, 126 individuals provided analyzable responses (45.0%). After including the NRS score as an independent variable to the multiple regression equation for participants' background, the independent rate of the regression equation significantly improved by only 4.1% (R2=0.153). The addition of the TSK-11 score significantly improved this effect by 11.1% (R2=0.264). Finally, the addition of physical activity also significantly improved the explanatory rate by 9.9% (R2=0.363).

Conclusion: Neck pain, kinesiophobia, and physical activity (specifically paid work and walking) were independently associated with HRQOL in individuals with postoperative DCM/R.

Objective: To compile epidemiological characteristics of traumatic spinal cord injury (TSCI) in the Northern Indian Himalayan regions and Sub-Himalayan planes.

Methods: The present study is a retrospective, cross-sectional descriptive analysis based on hospital data conducted at the Department of Physical Medicine and Rehabilitation and Spine Unit of Trauma Centre in a tertiary care hospital in Uttarakhand, India. People hospitalized at the tertiary care center between August 2018 and November 2021 are included in the study sample. A prestructured proforma was employed for the evaluation, including demographic and epidemiological characteristics.

Results: TSCI was found in 167 out of 3,120 trauma patients. The mean age of people with TSCI was 33.5±13.3, with a male-to-female ratio of 2.4:1. Eighty-three participants (49.7%) were from the plains, while the hilly region accounts for 50.3%. People from the plains had a 2.9:1 rural-to-urban ratio, whereas the hilly region had a 6:1 ratio. The overall most prevalent cause was Falls (59.3%), followed by road traffic accidents (RTAs) (35.9%). RTAs (57.2%) were the most common cause of TSCI in the plains' urban regions, while Falls (58.1%) were more common in rural plains. In both urban (66.6%) and rural (65.3%) parts of the hilly region, falls were the most common cause.

Conclusion: TSCI is more common in young males, especially in rural hilly areas. Falls rather than RTAs are the major cause.

Objective: To formulate an equation estimating months to independent walking in moderate to late preterm infants based on neonatal characteristics and gross motor development from 7 months to independent walking.

Methods: Sixty infants born between 32 to 36 weeks were assessed using Alberta Infant Motor Scale (AIMS) for gross motor development. Neonatal characteristics were recorded at 7 months, and caregiver-reported independent walking onset. Pearson correlation analyzed age, AIMS scores, and neonatal factors. Multiple regression developed the prediction equation.

Results: The equation for independent walking onset, which included gestational age (GA) at birth, total AIMS score at 10 months of age (10th AIMS), and birth head circumference (BHC), exhibited a strong correlation (r=0.707) and had a predictive power of 50.0%. The equation is as follows: age onset of independent walking (months)=33.157, -0.296 (GA), -0.132 (10th AIMS), -0.196 (BHC), with an estimation error of 0.631 months.

Conclusion: Neonatal characteristics, such as GA, 10th AIMS, and BHC, are key determinants in estimating the onset of independent walking in moderate to late preterm infants.

To synthesise the best available evidence for the effectiveness of interventions delivered in community-based rehabilitation (CBR) centers on physical fitness, for community-dwelling older adults living in Asian countries. This study is a systematic review and meta-analysis. Seven English and two Chinese electronic databases were searched for randomised controlled trials (RCTs) and quasi-experimental studies that were conducted by centers providing CBR. Independent reviewers screened, quality-appraised and extracted data. The primary outcome was physical fitness measured by validated assessment tools, including the Timed Up and Go Test (TUG), gait speed, hand grip strength, Functional Reach Test (FRT), and one-leg standing test. Assessments of activity of daily living and quality of life using tools including the Barthel Index, Short Form (SF)-12, and SF-36 were secondary outcomes. After screening 5,272 studies, 29 studies were included (16 RCTs, 13 quasi-experimental studies) from four countries. Meta-analyses found that CBR programs significantly decreased TUG time (mean difference [MD], -1.89 seconds; 95% confidence interval [95% CI], -2.84 to -0.94; I2=0%; Z=3.90, p<0.0001), improved gait speed (MD, 0.10 m/s; 95% CI, 0.01-0.18; I2=0%; Z=2.26, p=0.02), and increased one-leg standing time (MD, 2.81 seconds; 95% CI, 0.41-5.22; I2=0%; Z=2.29, p=0.02). Handgrip strength and FRT showed no statistically significant improvement in the meta-analyses. CBR may improve aspects of physical fitness for older adults in Asian countries. However, variability in intervention components and measurement tools reduced the ability to pool individual studies. Further trials are required with robust designs including standardised measures of physical fitness.

Objective: To evaluate the efficacy of light-emitting diode (LED) and their dual-wavelengths as a treatment strategy for osteoarthritis.

Methods: We induced osteoarthritis in male Sprague-Dawley rats by intra-articular injection of sodium iodoacetate into the right rear knee joint. The animals with lesions were divided into an untreated group and an LED-treated group (n=7 each). In the LED-treated group, the lesioned knee was irradiated with lasers (850 and 940 nm) and dose (3.15 J/cm2) for 20 minutes per session, twice a week for 4 weeks. Knee joint tissues were stained and scanned using an in vivo micro-computed tomography (CT) scanner. Serum interleukin (IL)-6 and IL-18 levels were determined using enzyme-linked immuno-sorbent assay. Several functional tests (lines crossed, rotational movement, rearing, and latency to remain rotating rod) were performed 24 hours before LED treatment and at 7, 14, 21, and 28 days after treatment.

Results: LED-treated rats showed improved locomotor function and suppressed matrix-degrading cytokines. Micro-CT images indicated that LED therapy had a preserving effect on cartilage and cortical bone.

Conclusion: LED treatment using wavelengths of 850 and 940 nm resulted in significant functional, anatomical, and histologic improvements without adverse events in a rat model. Further research is required to determine the optimal wavelength, duration, and combination method, which will maximize treatment effectiveness.

Artificial intelligence (AI) tools are increasingly able to learn from larger and more complex data, thus allowing clinicians and scientists to gain new insights from the information they collect about their patients every day. In rehabilitation medicine, AI can be used to find patterns in huge amounts of healthcare data. These patterns can then be leveraged at the individual level, to design personalized care strategies and interventions to optimize each patient's outcomes. However, building effective AI tools requires many careful considerations about how we collect and handle data, how we train the models, and how we interpret results. In this perspective, we discuss some of the current opportunities and challenges for AI in rehabilitation. We first review recent trends in AI for the screening, diagnosis, treatment, and continuous monitoring of disease or injury, with a special focus on the different types of healthcare data used for these applications. We then examine potential barriers to designing and integrating AI into the clinical workflow, and we propose an end-to-end framework to address these barriers and guide the development of effective AI for rehabilitation. Finally, we present ideas for future work to pave the way for AI implementation in real-world rehabilitation practices.

Objective: To examine the impact of telerehabilitation training on exercise capacity, lung function, and health-related quality of life (HRQOL) in comparison to no rehabilitation for post-COVID-19 symptoms in adult females.

Methods: A randomized controlled trial of 48 females after mild to moderate COVID-19 survival were equally and randomly assigned to one of two groups: intervention group or control group. Three sessions per week for 6 weeks of a telerehabilitation program provided via a smartphone to the intervention group. Spirometry was used to quantify lung function, a 6-minute walk test (6MWT) measured in meters to measure exercise capacity, and the Short Form Health Survey-36 was used to assess HRQOL.

Results: After treatment, there was no statistically significant difference in forced vital capacity (FVC) or forced expiratory volume in 1 second (FEV1) between groups (p>0.05), but the 6MWT of the intervention group increased significantly more than that of the control group (p=0.001). The percent of change in 6MWT for the intervention group and control group was 14.22% and 4.21%, respectively. After therapy, the intervention group's HRQOL significantly improved when compared to the control group's (p=0.001).

Conclusion: This study showed that a telerehabilitation programs improved exercise capacity and HRQOL in young females post-COVID-19 compared to no rehabilitation.

Objective: To examine the association between the mobilization level during intensive care unit (ICU) admission and independence in activity of daily living (ADL), defined as Barthel Index (BI)≥70.

Methods: This was a post-hoc analysis of the EMPICS study involving nine hospitals. Consecutive patients who spend >48 hours in the ICU were eligible for inclusion. Mobilization was performed at each hospital according to the shared protocol and the highest ICU mobility score (IMS) during the ICU stay, baseline characteristics, and BI at hospital discharge. Multiple logistic regression analysis, adjusted for baseline characteristics, was used to deter-mine the association between the highest IMS (using the receiver operating characteristic [ROC]) and ADL.

Results: Of the 203 patients, 143 were assigned to the ADL independence group and 60 to the ADL dependence group. The highest IMS score was significantly higher in the ADL independence group than in the dependence group and was a predictor of ADL independence at hospital discharge (odds ratio, 1.22; 95% confidence interval, 1.07-1.38; adjusted p=0.002). The ROC cutoff value for the highest IMS was 6 (specificity, 0.67; sensitivity, 0.70; area under the curve, 0.69).

Conclusion: These results indicate that, in patients who were in the ICU for more than 48 hours, that patients with good function in the ICU also exhibit good function upon discharge. However, prospective, multicenter trials are needed to confirm this conclusion.