Wuhan General Hospital of Guangzhou

Kinesio taping, as a non-invasive, non-pharmacological elastic taping technique, has become increasingly popular in sports injury management due to its safety, non-restrictive nature, and lack of interference with joint movement. This study aims to evaluate whether conventional comprehensive rehabilitation combined with kinesio taping can more effectively improve rehabilitation outcomes in military personnel following surgery for recurrent shoulder dislocation caused by training injuries. Sixty military personnel with recurrent shoulder dislocation caused by training injury were selected and randomly divided into a study group and a control group, with 30 cases in each group.The control group received conventional rehabilitation therapy, including physical agent modalities (ultrasound), cryotherapy and exercise therapy. The study group received, in addition to all treatments administered to the control group, shoulder-specific kinesio taping (using I-strip, Y-strip, and fan-cut strips applied over the supraspinatus muscle, deltoid muscle, and glenohumeral joint area, changed daily). After 6 weeks of treatment, shoulder joint range of motion, UCLA(The university of California at Los Angeles shoulder rating scale)score, and Constant-Murley score were compared between the two groups. After treatment, the range of motion for shoulder flexion, abduction, internal rotation, external rotation, and extension increased in both groups compared to pre-treatment values (P < 0.05). Similarly, the UCLA and Constant-Murley scores also improved significantly in both groups (P < 0.05). The study group demonstrated significantly greater improvements in shoulder joint mobility (P < 0.05), UCLA score (P < 0.05), and Constant-Murley score (P < 0.05) compared to the control group. Conventional comprehensive rehabilitation therapy combined with kinesio taping can better improve the range of motion and activities of daily living in postoperative military personnel with recurrent shoulder dislocation caused by training injury.

Accurate monitoring of pulmonary nodules' growth is crucial for preventing lung cancer progression and improving patient outcomes. Yet, identifying high-risk nodules in computed tomography (CT) scans remains challenging due to subtle growth patterns, irregular follow-up intervals, and the limitations of current diagnostic tools. Existing methods often depend on single-timepoint analyses or assume fixed temporal intervals, constraining prediction to rigid scenarios. To address these limitations, we propose NGP-Net, a W-shaped architecture for dynamic nodule growth prediction from irregular longitudinal CT scans. NGP-Net introduces a Spatial-Temporal Encoding Module (STEM) that learns temporal dynamics directly from irregularly sampled data, and a dual-branch decoder that reconstructs high-fidelity nodule textures and shapes at arbitrary future timepoints. We further release a curated dataset of 378 chest CT scans from 103 patients with 226 pulmonary nodules, each followed across at least three timepoints spanning 2-64 months and annotated by seven radiologists. Extensive evaluation demonstrates that NGP-Net achieves state-of-the-art performance on this new dataset, obtaining the lowest mean square error of $\mathbf {{6}.{13} \times {{10}}^{-{3}}}$ (overall) and $\mathbf {{1}.{28} \times {{10}}^{-{4}}}$ (nodule-specific), with substantial improvements in Dice similarity coefficient ( $\mathbf {{10}.{55}\%}$ ), peak signal-to-noise ratio ( $\mathbf {{0}.{29}}$ dB), and structural similarity index ( $\mathbf {{5}.{94}\%}$ ). NGP-Net's robust and precise predictions across varied growth scenarios highlight its potential to support radiologists in clinical decision-making. The source code and dataset are publicly available at GitHub and Kaggle.

Epilepsy patients face significantly elevated cardiovascular risks, with cardiac arrhythmias occurring 2-3 times more frequently than in the general population. Current knowledge of brain-heart functional coupling abnormalities in epilepsy, particularly during interictal periods, remains limited. We investigated brain-heart interplay characteristics in temporal lobe epilepsy through synchronized electroencephalographic-electrocardiographic analysis using a synthetic data generation model and microstate analysis. We enrolled 52 patients with temporal lobe epilepsy (mean age = 33.4 ± 12.7 years) and 42 age-matched healthy controls (mean age = 31.95 ± 11.03 years). Twenty-minute artifact-free electroencephalographic segments were analyzed during resting states. Four directional brain-heart coupling sequences were extracted: CBrain→HF, CBrain→LF, CHF→Brain, and CLF→Brain, representing bidirectional interactions between brain activity and cardiac components. Six microstate topologies were consistently identified across all brain-heart interplay sequences, with temporal lobe epilepsy patients demonstrating significantly more complex and unstable topological characteristics compared to healthy controls. For CBrain→HF coupling, patients exhibited significantly reduced mean duration of microstate 3 (.34 ± .09 s vs. .38 ± .07 s, p = .02), increased occurrence rates of microstates 3 and 4 (both p < .001), and altered temporal coverage patterns. Similar abnormalities were observed across all sequences, with patients showing shortened microstate durations, altered occurrence rates, and disrupted temporal coverage. Spatial dissimilarity analysis revealed significant topological abnormalities across all microstates. A logistic regression model incorporating microstate parameters achieved 94.7% diagnostic accuracy for temporal lobe epilepsy, with an F1 score of .952 and an area under the curve of .932. Temporal lobe epilepsy is characterized by profound disruptions in brain-heart functional coupling during interictal periods, manifesting as altered microstate topographies and temporal dynamics. These findings establish microstate-based analysis as a promising framework for characterizing brain-heart axis dysfunction in epilepsy.

The liver, the largest internal organ in the human body, regulates multiple reactions and processes, including detoxification, regeneration, and immune defense. Liver diseases have emerged as a significant global public health issue. Numerous studies have indicated that the mitochondrial deacetylase SIRT3 has played various roles in the pathogenesis and pathological progression of liver diseases. Objectives: This review aims to explore the advances in the study of SIRT3 and liver disease and review possible mechanisms. Natural and chemical activators of SIRT3 are also discussed. The role of SIRT3 in the pathogenic mechanisms and therapeutic strategies of liver disease is summarized by reviewing Pubmed. SIRT3 alleviates liver diseases by regulating fatty acid metabolism, mitochondrial function, and immune-inflammatory response. Meanwhile, Withaferin A, lipoic acid, major royal jelly proteins, and berberine can activate SIRT3 or upregulate its expression, thereby alleviating liver damage. SIRT3 can effectively slow down the progression of liver disease and protect the liver from further damage. The use of SIRT3 as a pharmacological target for the treatment of liver disease is a potential therapeutic approach.

ObjectivesTo gain an in-depth understanding of the experience of elderly joint replacement patients in making surgical decisions and to identify the needs of patients in the decision-making process.DesignA qualitative study, semistructured interviews were used and analysed by Colaizzi’s seven-step method.SettingThis study was conducted in the orthopaedics department of a tertiary hospital in Wuhan.ParticipantsEligible participants were aged 60 years or older, scheduled for elective joint replacement surgery, cognitively intact and voluntarily consented to participate in the study.ResultsWe conducted interviews with a total of 25 elderly patients who underwent joint replacement surgery. This study reveals three themes and eight subthemes regarding the surgical decision-making experiences of elderly patients undergoing joint replacement. The three themes summarise three stages of the decision-making experience, respectively, trade-offs before decisions, feelings during decision-making and expectations after the decision. In the first stage, three subthemes were identified: (1) weighing the surgical risks and benefits, (2) assessment of medical proficiency and (3) low patient involvement in decision-making. In the second stage, three subthemes emerged: (1) internal fear, (2) self-doubt and (3) a heavy burden. In the third stage, two subthemes were identified: (1) a recovery process filled with confidence and (2) a desire for improved quality of life.ConclusionsThis study delves deep into the experiences of elderly patients undergoing joint replacement surgery during the surgical decision-making process. It provides a theoretical basis for decision-making assistance for elderly joint replacement patients, which is conducive to reducing patients’ decision-making conflicts and enhancing their decision-making capabilities.

Metastatic intracardiac hepatoblastoma is an extremely rare entity. Metastasis pathways include lymphatic, hematogenous routes, direct, or transvenous spread. The multimodality imaging has enabled the identification of the etiology of intracardiac mass in many cases. The significant characteristics of indicating malignant cardiac tumors include irregular borders, vascular invasion, and rapid growth on echocardiography. Additionally, malignant cardiac tumors are characterized by heterogeneous enhancement, necrosis, and restricted diffusion on cardiac magnetic resonance (CMR).

The Fourth Universal Definition of Myocardial Infarction recommends high-sensitivity cardiac troponin (hs-cTn) as the preferred biomarker for diagnosing myocardial infarction. This study evaluated the analytical and clinical performance of a novel hs-cTnT chemiluminescence immunoassay (CLIA) developed by Mindray. Analytical performance characteristics including precision, sensitivity (limit of detection [LoD] and limit of quantification [LoQ]), imprecision profile, linearity, sample type comparison, method comparison, and potential interferences were assessed. Sex-specific 99th percentile upper reference limits (URLs) were established in 895 healthy individuals. Clinical diagnostic performance was evaluated in 559 patients with suspected acute myocardial infarction and compared with the Roche hs-cTnTassay. The Mindray assay showed excellent precision (repeatability CV≤1.99 %, within-laboratory precision CV≤6.11 %), superior sensitivity (LoD: 1.4 ng/L; LoQ: 2.4 ng/L), and linearity (r=0.9978), along with robust performance against common and immunological interferences. Using the manufacturer-claimed LoD of 2.0 ng/L, measurable values were found in 99.36 % of males, 83.26 % of females, and 91.48 % overall, meeting criteria for high-sensitivity assays. The derived sex-specific 99th percentiles were 18.6 ng/L (males), 9.6 ng/L (females), and 16.0 ng/L (overall). In the clinical cohort, the assay showed 100.0 % sensitivity, 83.3 % specificity, 80.0 % PPV, 100.0 % NPV, and an AUC of 0.988, comparable to the Roche Gen 5hs-cTnTassay. The Mindray hs-cTnT (CLIA) assay meets high-sensitivity assay criteria and demonstrates robust analytical and diagnostic performance, offering a reliable alternative to the Roche Gen 5 assay for clinical evaluation of myocardial injury.

While traditional resistance training has been widely used in distance running training, the effects of complex training combining heavy resistance and plyometric exercises on adolescent runners remain unclear. Understanding the impact of complex training on running economy and lower limb strength could provide valuable insights for optimizing training programs for young athletes. To examine the effects of an 8-week complex training program on lower limb strength and running economy in adolescent distance runners compared to traditional resistance training. Thirty-two male adolescent distance runners (age: 16.75 ± 0.68 years) were randomly assigned to either a complex training group (CT; n = 16) or a resistance training group (RT; n = 16). Both groups completed their respective training programs three times per week for 8 weeks, in addition to their regular endurance training. Running economy at three speeds (12, 14, and 16 km/h), maximal oxygen uptake (VO2max), blood lactate concentration, One-repetition maximum (1RM) squat strength, countermovement jump (CMJ), squat jump (SJ), drop jump (DJ), and reactive strength index (RSI) were assessed before and after the intervention. The CT group showed significantly greater improvements in running economy at all speeds (p < 0.001) compared to the RT group. Both groups demonstrated significant improvements in 1RM squat strength (CT: p < 0.001; RT: p < 0.001), CMJ (CT: p < 0.001; RT: p < 0.001), and SJ (CT: p = 0.005; RT: p < 0.001). The CT group exhibited superior improvements in CMJ peak power (p = 0.010), DJ performance (p = 0.017), and RSI (p < 0.001). Blood lactate concentrations at submaximal speeds decreased significantly more in the CT group compared to the RT group (p < 0.05). Complex training appears to be more effective than traditional resistance training for improving both running economy and power-related performance measures in adolescent distance runners. The combination of heavy resistance and plyometric exercises may provide superior neuromuscular adaptations that enhance both strength and running efficiency.