Revolutionizing Sports Rehabilitation: Unleashing the Power of Tele-Rehabilitation for Optimal Physiotherapy Results

Background: Tele-rehabilitation programs have emerged as a promising approach to improve access to physiotherapy services for athletes with sports-related injuries. This randomized controlled trial aimed to compare the effectiveness of a tele-rehabilitation program with traditional in-person physiotherapy in improving outcomes for this population. Methods: This randomized controlled trial enrolled a large sample of 780 athletes with sports-related injuries to compare the effectiveness of tele-rehabilitation and traditional in-person physiotherapy. Blinding procedures were implemented to minimize bias. The intervention group received tele-rehabilitation physiotherapy, whereas the control group received traditional in-person physiotherapy. Pre- and post-intervention assessments were conducted to measure outcome measures, including range of motion, muscle strength, pain levels, and functional performance. Results: Significant improvements were observed in all outcome measures in both the tele-rehabilitation and in-person groups from baseline to postintervention. Independent t tests demonstrated no significant differences between the two groups in any of the outcome measures. These findings indicate that the tele-rehabilitation program was as effective as traditional in-person physiotherapy in improving the outcomes of athletes with sports-related injuries, even in a large sample size of 780 participants. Conclusion: This study provides robust evidence supporting the feasibility and effectiveness of tele-rehabilitation programs as viable alternatives to traditional in-person physiotherapy for athletes with sports-related injuries. These findings highlight the potential of tele-rehabilitation to significantly expand access to high-quality physiotherapy services for a large number of athletes. Further research should focus on evaluating the long-term effectiveness and cost-effectiveness of tele-rehabilitation programs in sports rehabilitation using larger sample sizes.

Comparative analysis of high-intensity interval training and traditional rehabilitation programs for accelerated recovery from musculoskeletal injuries

BACKGROUND

Musculoskeletal injuries, such as strains, are prevalent across all age groups and have a substantial impact on daily functioning and quality of life.

OBJECTIVE

To examine the effectiveness of high-intensity interval training (HIIT) with traditional rehabilitation programs on pain, range of motion (ROM), muscular strength, and functional changes in promoting accelerated recovery from musculoskeletal injuries.

METHODS

A total of 80 participants (54 males, 26 females; mean age 35.6 years) with various musculoskeletal injuries were randomly assigned to either the HIIT group (n= 40) or the traditional rehabilitation group (n= 40). The HIIT group underwent a six-week supervised program, with three sessions per week. The traditional rehabilitation group followed a similar six-week program emphasizing low to moderate intensity exercises and traditional rehabilitation techniques. Outcome measures, including pain levels, ROM, muscular strength, and functional outcomes, were assessed pre- and post-intervention.

RESULTS

Significant improvements were observed in both the HIIT and traditional rehabilitation groups. However, the HIIT group demonstrated superior outcomes. Participants in the HIIT group experienced a greater reduction in pain levels compared to the traditional rehabilitation group (mean visual analog scale (VAS) score decrease of 5.2 vs. 3.8, respectively, p< 0.05). Functional outcomes significantly favored the HIIT group, with participants achieving faster completion times in the Timed Up and Go test (mean reduction of 2.1 seconds vs. 1.5 seconds, respectively, p< 0.01) and longer distances in the Single Leg Hop test (mean increase of 32 cm vs. 25 cm, respectively, p< 0.05).

CONCLUSION

HIIT showed superior effectiveness over traditional rehabilitation in accelerating recovery from musculoskeletal injuries, with greater pain reduction and improved functional outcomes. Incorporating HIIT into rehabilitation protocols may offer an efficient approach for expedited recovery and enhanced functional capacity.

The recognition of severe thoracic aortic dissection using conventional chest radiography in conjunction with a whale optimized bilateral residual convolutional neural network

A life-threatening condition called severe thoracic aortic dissection (STAD) is brought on by blood leakage from the aorta's injured inner layer, which separates the intimal and adventitial layers. It is difficult to make a diagnosis for this disease. Chest x-rays are frequently used for initial screening or diagnosis, however their diagnostic accuracy is not great. Deep learning (DL) has recently been effectively used for a variety of medical image processing tasks. By using DL techniques, we try to enhance the accuracy of the diagnosis of STAD made on the basis of chest x-rays in this work. The significant thoracic aortic dissection was detected using the Whale optimized bilateral residual convolutional neural network (WO-BRCNN). The WO-BRCNN accuracy was found to be 99.21%, with precision at 94.93%, recall at 97.89%, F1-score at 95.71% and specificity at 93.42%. To increase diagnostic accuracy using aorta segmentation, further study is required.

ABCB1 and DRD3 polymorphism as a response predicting biomarker and tool for pharmacogenetically guided clozapine dosing in Asian Indian treatment resistant schizophrenia patients

PURPOSE

To investigate association of two single nucleotide polymorphisms (SNPs) ABCB1(rs1045462) and DRD3(rs6280) with clozapine response and the dose in treatment resistant schizophrenia (TRS) patients.

METHODS

200 TRS patients were enrolled in the study during their follow up visit post clozapine initiation. SNP assessment was performed for DRD3 (rs6280) and ABCB1(rs1045462) by sequencing. Blood sample for genotyping was collected with disease and treatment related variables recording on case record form. Patients were classified as responders or nonresponders based upon Andreasen criteria and Positive and Negative Syndrome Scale (PANSS).

RESULTS

Mean clozapine dose, the genotype frequency distribution of ABCB1, DRD3 SNPs were significantly different in clozapine responder and non-responder study population (p < 0.05). CT genotype of ABCB1 and AG genotype of DRD3 were observed to be more prevalent in the responder group. TT genotype of ABCB1 and AG genotype of DRD3 were prevalent in the nonresponder group. Clozapine dosing equations for responder and nonresponder TRS populations were developed through logistic regression analysis. 27% variability in clozapine dose was explained by possible combinations of ABCB1 and DRD3 SNP analysis.

CONCLUSION

Differential ABCB1(rs1045462) and DRD3(rs6280) genotype frequencies among the clozapine responders and non-responders explained clear feasibility of response predictor potential along with clozapine dose variability association. Pharmacogenetically guided clozapine dosing is possible if more SNPs are considered together with ABCB1(rs1045462) and DRD3(rs6280) in TRS patients.

The cancer-associated, gain-of-function TP53 variant P152Lp53 activates multiple signaling pathways implicated in tumorigenesis

TP53 is the most frequently mutated tumor suppressor gene in many cancers, yet biochemical characterization of several of its reported mutations with probable biological significance have not been accomplished enough. Specifically, missense mutations in TP53 can contribute to tumorigenesis through gain-of-function of biochemical and biological properties that stimulate tumor growth. Here, we identified a relatively rare mutation leading to a proline to leucine substitution (P152L) in TP53 at the very end of its DNA-binding domain (DBD) in a sample from an Indian oral cancer patient. Although the P152Lp53 DBD alone bound to DNA, the full-length protein completely lacked binding ability at its cognate DNA motifs. Interestingly, P152Lp53 could efficiently tetramerize, and the mutation had only a limited impact on the structure and stability of full-length p53. Significantly, when we expressed this variant in a TP53-null cell line, it induced cell motility, proliferation, and invasion compared with a vector-only control. Also, enhanced tumorigenic potential was observed when P152Lp53-expressing cells were xenografted into nude mice. Investigating the effects of P152Lp53 expression on cellular pathways, we found that it is associated with up-regulation of several pathways, including cell-cell and cell-extracellular matrix signaling, epidermal growth factor receptor signaling, and Rho-GTPase signaling, commonly active in tumorigenesis and metastasis. Taken together, our findings provide a detailed account of the biochemical and cellular alterations associated with the cancer-associated P152Lp53 variant and establish it as a gain-of-function TP53 variant.

Antimicrobial susceptibility patterns of organisms causing secondary abdominal infections in patients with perforated abdominal viscus

Background:

Secondary peritonitis, following intestinal perforation, constitutes a significant proportion of cases admitted as a surgical emergency and has a mortality rate of 6–21% worldwide. As a part of an antimicrobial stewardship program, we noted considerable variation among the choice of empirical regimens among such cases. Hence, we conducted a prospective study to generate the evidence for a rational empiric regimen for patients with secondary peritonitis following intestinal perforation.

Methods:

The study included a complete follow up of 77 cases of secondary peritonitis admitted during a 12 month period. The intraoperative fluid (peritoneal) sample of the patient was sent for culture and sensitivity pattern analysis.

Results:

The sites of perforation as seen in decreasing order were lower gastrointestinal (GI) (50.6%), upper GI (36.4%), and unclassified (13%). The most common organism found in the intraoperative fluid was Escherichia coli (47.9%) followed by Klebsiella pneumoniae (12.5%). amikacin, cefoperazone-sulbactam, piperacillin-tazobactam and imipenem were sensitive in 22 (out of 23 tested), 5 (out of 9), 13 (out of 13) and 22 (out of 22) isolates of E. coli and 3 (out of 6), 1 (out of 3), 4 (out of 6), 4 (out of 6) isolates of K. pneumoniae, respectively. The most common empirical antibiotic was cefoperazone-sulbactam (38.7%) followed by piperacillin-tazobactam (29.3%).

Conclusion:

Based on our prospective study, piperacillin-tazobactam or imipenem should be used empirically in patients presenting with complicated intra-abdominal infections secondary to perforated viscus, especially if they have sepsis or septic shock.

Lignolytic Enzymes of a Mushroom Stereum ostrea Isolated from Wood Logs

Production of lignolytic enzymes by the mushroom fungus Stereum ostrea in liquid medium under conditions of vegetative growth was examined for 10 days in comparison to the reference culture Phanerochaete chrysosporium. Though growth and secretion of extracellular protein by S. ostrea were comparable to those of P. chrysosporium, yields of laccase enzyme by S. ostrea were higher than laccase titres of P. chrysosporium by more than 2 folds on the peak production time interval (IVth day of incubation). S. ostrea yielded titres of 25 units of laccase/ml as against 8.9 units of laccase/ml on the IVth day of incubation. Stereum ostrea also exhibited activities of other lignolytic enzymes, lignin peroxidase (LiP) and manganese peroxidase (MnP), higher than the reference culture. Growth of S. ostrea on the medium in the presence of Remazol orange 16 resulted in the decolourisation of dye, confirming the presence of lignolytic enzymes. S. ostrea appears to be a promising culture with complete lignolytic system.

Classification and clustering analysis of pyruvate dehydrogenase enzyme based on their physicochemical properties

Biological systems are highly organized and enormously coordinated maintaining greater complexity. The increment of secondary data generation and progress of modern mining techniques provided us an opportunity to discover hidden intra and inter relations among these non linear dataset. This will help in understanding the complex biological phenomenon with greater efficiency. In this paper we report comparative classification of Pyruvate Dehydrogenase protein sequences from bacterial sources based on 28 different physicochemical parameters (such as bulkiness, hydrophobicity, total positively and negatively charged residues, α helices, β strand etc.) and 20 type amino acid compositions. Logistic, MLP (Multi Layer Perceptron), SMO (Sequential Minimal Optimization), RBFN (Radial Basis Function Network) and SL (simple logistic) methods were compared in this study. MLP was found to be the best method with maximum average accuracy of 88.20%. Same dataset was subjected for clustering using 2*2 grid of a two dimensional SOM (Self Organizing Maps). Clustering analysis revealed the proximity of the unannotated sequences with the Mycobacterium and Synechococcus genus.