BACKGROUND

Hand grip strength (HGS) is a tool to measure muscle strength, which is an important component in sarcopenia and frailty. Grip strength (GS) in midlife can predict physical disability in senior years and help evaluate a patient's overall health.

The general purpose of this study is to validate the HGS using an aneroid sphygmomanometer and Jamar dynamometer as a diagnostic tool for sarcpenia. The specific aims of this study are (a) to determine the concurrent criterion validity, (b) to determine the reliability, and (c) to measure the inter-rater agreement of the aneroid sphygmomanometer against the Jamar dynamometer in measuring HGS.

This prospective validation study measures HGS using an aneroid sphygmomanometer and Jamar dynamometer obtained from seventy participants 50 years old and above. Statistical methods used in data analysis include Spearman Rho, univariate linear regression analyses, intra-class correlation, inter-rater reliability, intra-rater reliability, Bland-Altman plots, and Lin’s concordance.

There was a significant correlation of HGS with the Jamar dynamometer and aneroid sphygmomanometer regardless of the rater [Spearman Rho (rs=0.762 to 0.778, p=0.001)]. Jamar GS is comparable to GS using a sphygmomanometer with the formula of [Jamar = 0.54 x sphygmomanometer (mmHg) - 45.12].

Aneroid sphygmomanometer can be used as an option to measure GS and has a valid value to predict the Jamar GS value. Hence, it can be an alternate tool for diagnosing sarcopenia.

INTRODUCTION: The aim of this study was to elucidate the epidemiology and distribution of hand fractures in Singapore. METHODS: A total of 701 hand fractures in 596 patients aged 21 years and above from a single centre were reviewed from 2010 to 2011. Details regarding the patient demographics, occupation, mechanism of injury, associated injuries and treatment were obtained. RESULTS: Hand fractures were particularly significant in patients between the ages of 21 and 40 years 58.9% of the total cases. The relative risk of hand fractures in males was 5.5 times greater than that in females. The majority of hand fractures occurred at the workplace (47.7%), with crush injury being the main mechanism of injury (33.6%). The most common locations of hand fracture were the little finger ray (31.2%) and distal phalanges (37.7%). There were 170 cases that underwent surgical fixation, which accounted for 24.3% of all fractures. Fixation rate was similar for both closed and open fractures but was significantly higher in the proximal and middle phalanges compared to the distal phalanx and metacarpal ( P < 0.001). With regards to surgical fixation methods, wires were commonly used in either tuft fractures (100.0%) or intra-articular fractures (69.9%), whereas plates and screws were commonly used in shaft fractures (65.5%). CONCLUSION The most significant population that sustained hand fractures in Singapore are young to middle-aged males who are skilled manual workers. The most commonly involved ray and location of hand fractures are the little finger ray and the distal phalanges, respectively, as they are in a relatively more exposed location.
Humans ; Singapore/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Fractures, Bone/surgery* ; Hand Injuries/surgery* ; Young Adult ; Aged ; Hand Bones/injuries* ; Retrospective Studies ; Fracture Fixation, Internal

INTRODUCTION: In this study, we aimed to compare the performance of a convolutional neural network (CNN)-based deep learning model that was trained on a dataset of normal and abnormal paediatric elbow radiographs with that of paediatric emergency department (ED) physicians on a binomial classification task. METHODS: A total of 1,314 paediatric elbow lateral radiographs (patient mean age 8.2 years) were retrospectively retrieved and classified based on annotation as normal or abnormal (with pathology). They were then randomly partitioned to a development set (993 images); first and second tuning (validation) sets (109 and 100 images, respectively); and a test set (112 images). An artificial intelligence (AI) model was trained on the development set using the EfficientNet B1 network architecture. Its performance on the test set was compared to that of five physicians (inter-rater agreement: fair). Performance of the AI model and the physician group was tested using McNemar test. RESULTS: The accuracy of the AI model on the test set was 80.4% (95% confidence interval [CI] 71.8%-87.3%), and the area under the receiver operating characteristic curve (AUROC) was 0.872 (95% CI 0.831-0.947). The performance of the AI model vs. the physician group on the test set was: sensitivity 79.0% (95% CI: 68.4%-89.5%) vs. 64.9% (95% CI: 52.5%-77.3%; P = 0.088); and specificity 81.8% (95% CI: 71.6%-92.0%) vs. 87.3% (95% CI: 78.5%-96.1%; P = 0.439). CONCLUSION The AI model showed good AUROC values and higher sensitivity, with the P-value at nominal significance when compared to the clinician group.
Humans ; Deep Learning ; Child ; Retrospective Studies ; Male ; Female ; Radiography/methods* ; ROC Curve ; Elbow/diagnostic imaging* ; Neural Networks, Computer ; Child, Preschool ; Elbow Joint/diagnostic imaging* ; Emergency Service, Hospital ; Adolescent ; Infant ; Artificial Intelligence

Professor YIN Kejing's academic thoughts and clinical experience in treating lateral epicondylitis using classical acupuncture techniques are introduced. Professor YIN Kejing believes that the onset of lateral epicondylitis is due to external pathogenic factors and internal overstrain, leading to a pathological mechanism of muscular tension, meridian obstruction, and qi-blood stasis, resulting in disharmony between nutritive qi and defensive qi. Treatment should adhere to the principles of disease pathogenesis, with meticulous diagnosis and emphasis on relaxing tendons, relieving muscular tension, dredging meridians, and regulating nutritive qi and defensive qi. Based on the theories of yin-yang balance, nutritive qi and defensive qi regulation, and the collateral connection of meridians, the treatment involves selecting positive muscular reaction points, the five-shu points of the related meridians, and collateral connection points. Classical acupuncture techniques, including floating needling, guan needling, three-needle needling, cross-needling, and through-needling, are applied to stimulate defensive qi, regulate nutritive qi, facilitate the transmission of meridian qi, and adjust tendon qi. This approach effectively relieves muscular tension, alleviates pain, restores function, and rebalances yin and yang. The treatment is characterized by precise acupoint selection, distinctive features, and remarkable efficacy.
Humans ; Acupuncture Therapy/history* ; Tennis Elbow/physiopathology* ; Acupuncture Points ; Qi ; Meridians ; Yin-Yang ; Male ; Adult

This paper introduces Professor WANG Jihong's clinical experience in treating refractory lateral epicondylitis using the Wang's crescent technique of blade needle. Based on the classical theories of Huangdi Neijing (the Yellow Emperor's Inner Classic) such as the "twelve sinew meridians" "short needling" and "shu needling", Professor WANG applies a self-designed blade needle with crescent needling method. This approach forms a distinctive treatment philosophy characterized by "sinew meridians as the foundation, selecting points at the pain site; using chicken-claw needling technique deliverd at both internal and external; integration of heaven, earth, and man, using both short and shu needling; treating tendon injuries and inflammation with the crescent technique of blade needle". It embodies the therapeutic concept of "treating tendons and bones simultaneously, harmonizing yin and yang", and shows unique advantages in the treatment of this condition.
Acupuncture Therapy/methods* ; Humans ; Tennis Elbow/therapy* ; Male ; Middle Aged ; Adult ; Needles ; Female ; Acupuncture Points

OBJECTIVE: To observe the effect of acupuncture at Jiaji (EX-B2) points on upper limb motor dysfunction in patients after stroke. METHODS: A total of 62 patients with upper limb motor dysfunction after stroke were randomly assigned to an observation group (n=31, 3 cases dropped out) and a control group (n=31, 2 cases dropped out). Both groups received routine medical treatment and rehabilitation training. The control group was treated with conventional acupuncture at the affected side's Jianyu (LI15), Quchi (LI11), Shousanli (LI10), Huantiao (GB30), Yanglingquan (GB34), and Zusanli (ST36) etc. On this basis, the observation group received additional acupuncture at the affected side's Jiaji points from C₄ to T₅. Treatment was administered once daily, five times a week, for four weeks. Motor evoked potential (MEP) latency and amplitude of the abductor pollicis brevis and abductor digiti minimi, Fugl-Meyer assessment for upper extremity (FMA-UE), and Wolf motor function test (WMFT) scores were compared before and after treatment in the two groups. RESULTS: After treatment, both groups showed increased MEP amplitudes and decreased latencies of the abductor pollicis brevis and abductor digiti minimi (P<0.05), as well as increased FMA-UE and WMFT scores (P<0.05); the observation group had greater MEP amplitudes, shorter latencies, and higher FMA-UE and WMFT scores compared to the control group (P<0.05). CONCLUSION Acupuncture at Jiaji (EX-B2) points could enhance the excitability of upper limb motor neural pathways in upper limb motor dysfunction after stroke patients, thereby promoting motor function recovery of the upper limb.
Humans ; Acupuncture Therapy ; Male ; Female ; Middle Aged ; Acupuncture Points ; Stroke/complications* ; Upper Extremity/physiopathology* ; Aged ; Adult ; Stroke Rehabilitation ; Treatment Outcome

OBJECTIVE: To compare the clinical efficacy of electroacupuncture (EA) at neuro-arterial stimulation points with topical western medication in treating post-stroke shoulder-hand syndrome (SHS). METHODS: A total of 72 patients with post-stroke SHS were randomly assigned to an observation group (n=36, 2 cases dropped out) and a control group (n=36, 3 cases dropped out). Both groups received standard neurological treatment, comprehensive rehabilitation, and physical therapy. The observation group received EA at neuro-arterial stimulation points, including the ipsilateral stellate ganglion point, vagus nerve trunk and auricular branch (left side), and stimulation points of the radial and ulnar arteries, radial nerve, ulnar nerve, and median nerve, once daily for 4 weeks. The control group was treated with topical diclofenac diethylamine emulgel, and mucopolysaccharide polysulfate cream was added for patients with pronounced early-stage edema, twice a day for 4 weeks. The VAS pain score and hand edema volume were recorded before treatment, at 2 and 4 weeks during treatment, and 2 weeks after treatment completion (follow-up). Musculoskeletal ultrasound was used to measure the thickness of the dorsal hand and middle finger skin on the affected side before and after 4 weeks of treatment. RESULTS: Compared before treatment, the VAS pain scores and edema volume of the affected hand in both groups were decreased at week 2, week 4, and follow-up (P<0.05). At week 4, both groups showed lower VAS pain scores and edema volume than those at week 2 (P<0.05); during follow-up, both VAS pain scores and edema volume were further reduced compared to those at week 4 (P<0.05). At week 2, week 4, and follow-up, the VAS scores and edema volume of the affected hand in the observation group were lower than those in the control group (P<0.05). Compared before treatment, the dorsal hand skin thickness and middle finger skin thickness on the affected side were decreased in both groups after 4 weeks of treatment (P<0.05). Compared with the control group, the observation group showed thinner dorsal hand and middle finger skin thickness after 4 weeks of treatment (P<0.05). CONCLUSION EA at neuro-arterial stimulation points effectively alleviates pain and edema in patients with post-stroke SHS, and demonstrates superior efficacy compared to topical western medication.
Humans ; Male ; Female ; Middle Aged ; Electroacupuncture ; Aged ; Stroke/complications* ; Acupuncture Points ; Adult ; Reflex Sympathetic Dystrophy/physiopathology* ; Treatment Outcome ; Hand

OBJECTIVE: To observe the clinical efficacy of wrist-ankle acupuncture in the treatment of functional frequent premature ventricular contractions (PVCs). METHODS: A total of 64 patients with functional frequent PVCs were randomly divided into an observation group and a control group, 32 cases in each group. The observation group was treated with wrist-ankle acupuncture at bilateral upper 1 and upper 2 on the wrist. The control group received sham acupuncture at the same points as the observation group. Both groups were treated once every day from Monday to Friday, with the needles retained for 60 min each time, for a total of 4 weeks. The TCM syndrome score, the 24-hour PVC count, and MOS 36-item short form health survey (SF-36) score were compared between the two groups before and after treatment, and the clinical efficacy was evaluated after treatment. RESULTS: After treatment, the TCM syndrome scores and the 24-hour PVC counts in both groups were reduced compared with those before treatment (P<0.01), and the above indexes in the observation group were lower than those in the control group (P<0.01). After treatment，scores of all SF-36 items in the observation group were increased compared with those before treatment (P<0.01); in the control group, the scores of general health (GH), social function (SF) and role-emotional (RE) were increased compared with those before treatment (P<0.05). After treatment, scores of all SF-36 items in the observation group were higher than those in the control group (P<0.01). The total effective rate in the observation group was 90.6% (29/32), which was higher than 46.9% (15/32) in the control group (P<0.01). CONCLUSION Wrist-ankle acupuncture has a significant clinical efficacy in the treatment of functional frequent PVCs. It can effectively improve symptoms such as chest tightness and palpitations, reduce 24-hour PVC count, and improve patients' quality of life.
Humans ; Acupuncture Therapy ; Male ; Female ; Middle Aged ; Adult ; Ventricular Premature Complexes/physiopathology* ; Ankle/physiopathology* ; Wrist/physiopathology* ; Acupuncture Points ; Treatment Outcome ; Aged ; Young Adult

INTRODUCTION: The diagnosis of sarcopenia relies on key indicators such as handgrip strength, walking speed and muscle mass. Developing a composite index that integrates these measures could enhance clinical evaluation in older adults. This study aimed to standardise and combine these metrics to establish a z score for the sarcopenia composite index (ZoSCI) tailored for the ageing population. Additionally, we explore the risk factors associated with ZoSCI to provide insights into early prevention and intervention strategies. METHOD: This retrospective study analysed data between January 2017 and December 2021 from an elderly health programme in Taiwan, applying the Asian Working Group for Sarcopenia criteria to assess sarcopenia. ZoSCI was developed by standardising handgrip strength, walking speed and muscle mass into z scores and integrating them into a composite index. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values, and multiple regression analysis identified factors influencing ZoSCI. RESULTS: Among the 5047 participants, the prevalence of sarcopenia was 3.7%, lower than the reported global prevalence of 3.9-15.4%. ROC curve analysis established optimal cut-off points for distinguishing sarcopenia in ZoSCI: -1.85 (sensitivity 0.91, specificity 0.88) for males and -1.97 (sensitivity 0.93, specificity 0.88) for females. Factors associated with lower ZoSCI included advanced age, lower education levels, reduced exercise frequency, lower body mass index and creatinine levels. CONCLUSION This study introduces ZoSCI, a new compo-site quantitative indicator for identifying sarcopenia in older adults. The findings highlight specific risk factors that can inform early intervention. Future studies should validate ZoSCI globally, with international collaborations to ensure broader applicability.
Humans ; Sarcopenia/physiopathology* ; Male ; Aged ; Female ; Retrospective Studies ; Hand Strength ; Taiwan/epidemiology* ; ROC Curve ; Aged, 80 and over ; Risk Factors ; Walking Speed ; Geriatric Assessment/methods* ; Prevalence ; Muscle, Skeletal ; Middle Aged

In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN) - convolutional block attention module (CBAM) - bidirectional long short-term memory network (BiLSTM) muscle strength prediction model to fully explore the spatial and temporal features of the data and simultaneously suppress useless features, and finally achieve the improvement of the accuracy of the muscle strength prediction model. To verify the effectiveness of the model proposed in this paper, the model in this paper is compared with traditional models such as support vector machine (SVM), random forest (RF), convolutional neural network (CNN), CNN - squeeze excitation network (SENet), MSCNN-CBAM and MSCNN-BiLSTM, and the effect of muscle strength prediction by each model is investigated when the hand force application changes from 40% of the maximum voluntary contraction force (MVC) to 60% of the MVC. The research results show that as the hand force application increases, the effect of the muscle strength prediction model becomes worse. Then the ablation experiment is used to analyze the influence degree of each module on the muscle strength prediction result, and it is found that the CBAM module plays a key role in the model. Therefore, by using the model in this article, the accuracy of muscle strength prediction can be effectively improved, and the characteristics and laws of hand muscle activities can be deeply understood, providing assistance for further exploring the mechanism of hand functions .
Neural Networks, Computer ; Humans ; Hand Strength/physiology* ; Support Vector Machine ; Muscle Strength/physiology* ; Hand/physiology* ; Convolutional Neural Networks