OBJECTIVE:The clinical efficacy and safety of preoperative intravenous glucocorticoids in patients undergoing lower limb joint arthroplasty remain controversial.Therefore,we conducted a meta-analysis based on randomized controlled trials to evaluate the efficacy and safety of preoperative intravenous glucocorticoids for clinical treatment using lower limb joint arthroplasty. METHODS:We systematically searched randomized controlled trials on the effects of preoperative intravenous glucocorticoids on the efficacy and safety of lower limb joint arthroplasty in Chinese and foreign databases up to June 2023,including PubMed,Embase,Web of Science,Cochrane Library,WanFang Data,and CNKI.The trial group was injected with intravenous glucocorticoid before operation to control pain.The control group received placebo or intravenous saline.Outcome measures included postoperative resting pain score,postoperative C-reactive protein,postoperative 5-m walking test pain score,length of hospital stay,operation time,postoperative morphine opioid supplemental dose,postoperative nausea and vomiting reaction,and postoperative periprosthesis infection complications. RESULTS:(1)A total of nine randomized controlled trials included 613 patients(n=311 in the glucocorticoid group,n=302 in the control group).(2)Compared with the control group,preoperative intravenous administration of glucocorticoids significantly reduced the resting pain scores of patients at 6 and 12 hours after surgery,as well as the pain scores of patients walking for 5 m on the first day after surgery.In addition,the need for additional morphine opioids and postoperative nausea and vomiting were reduced in the glucocorticoid group.The inflammatory C-reactive protein was lower than that of the control group within three days after surgery,and the length of hospital stay was shortened after intravenous glucocorticoid injection(P<0.05).(3)However,there were no significant differences in the incidence of infection after arthroplasty,operation time,and pain scores at 24 and 48 hours between the two groups. CONCLUSION:As an effective perioperative multi-modal analgesia protocol,intravenous injection of glucocorticoids before surgery is an effective and safe method to reduce hyperacute pain and improve joint mobility in patients with lower limb joint arthroplasty.More research is needed to determine the optimal dose and type of glucocorticoids for maximum pain control.

Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) among bus drivers. Methods A total of 962 drivers from a bus company in Shenzhen City were selected as the research subjects using the judgment sampling method. The Musculoskeletal Disorders Questionnaire for Bus Drivers was used to investigate the prevalence of WMSDs among the research subjects. Results The prevalence of WMSDs was 37.8% in the bus drivers. The prevalence of WMSDs was higher in the low back/waist, neck, and shoulder compared with other body parts, with prevalence of 24.0%, 20.2%, and 14.8%, respectively. The prevalence of single-site and multi-site WMSDs was 18.5% and 19.3%, respectively. The results of the multivariable logistic regression analysis showed that longer job tenure and higher alcohol consumption frequency were associated with higher WMSDs risks (all P<0.01). Weekly work time >48 hours, insufficient rest, work-related fatigue, uncomfortable auxiliary lenses, non-upright trunk posture, prolonged static trunk posture, prolonged wrist flexion, and habitual staying up late were risk factors of WMSDs in the bus drivers (all P<0.05). Conclusion The prevention and treatment of WMSDs among the bus drivers cannot be ignored. Personal characteristics, work organization, work environment, working posture and sleeping habits are the factors that influence the development of WMSDs.

Objective To investigate the prevalence and risk factors of work-related musculoskeletal disorders (WMSDs) among construction workers. Methods A total of 5 783 workers were selected as participants from 12 construction companies in Guangdong Province, Guangxi Zhuang Autonomous Region and Zhejiang Province using a convenient sampling method. The revised Musculoskeletal Disorders Questionnaire was used to investigate the prevalence and influencing factors of WMSDs. Results The prevalence of WMSDs was 27.4% among the construction workers. The prevalence of WMSDs in shoulder, neck, waist/lower back and hand/wrist was 10.6%, 9.5%, 9.5% and 9.4% respectively, which was higher than that in other body parts. Bianry logistic regression analysis showed that the risk of WMSDs in construction workers with junior high school education and below was higher than that of high school/ college and above (P<0.05). The risk of WMSDs was higher in drinkers than that in non-drinkers (P<0.01). The worse the health status of construction workers, the higher the risk of WMSDs (P<0.01). The risk of WMSDs in those who exercised once or twice a month was lower than that in those who did not exercise (P<0.05). The risk of WMSDs was higher in construction workers with longer working hours in uncomfortable postures and greater back bending amplitude at work (all P<0.01). The risk of WMSDs in construction workers with hands holding above the shoulder was higher than that with hands below the shoulder (P<0.05). Construction workers who repeated the same work daily, involved in high-temperature work, often worked overtime, had insufficient rest time, and had a shortage of department personnel had a relatively high risk of WMSDs (all P<0.01). Conclusion The prevalence of WMSDs among the construction workers was relatively high, and the most common WMSDs occurred in shoulder, neck, waist/lower back and hand/wrist. Individual characteristic, work type, work posture and work organization are the influencing factors of WMSDs. Comprehensive measures, especially ergonomic measures based on personal and occupational characteristics should be taken to reduce the risk of WMSDs among construction workers.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

This paper presents an automatic acquisition and analytic procedure of acupuncture manipulation based on optical navigation, aiming at solving the shortcomings of existing acquisition methods of acupuncture manipulation. An acquisition holder installed at the handle tail of filiform needle was designed to display the movement trajectory of the needle during acupuncture delivery by collecting the movement trajectory of holder. The 3-month old male Bama miniature pig was selected as the experimental subject, and 6 points, "Bojian" "Qiangfeng" "Housanli" "Xiaokua" "Huiyang" (BL35) and "Baihui" (GV20), were selected during acupuncture manipulation. The optical navigation system was used to collect the real-time data, and these data were per-processed and analyzed using mean filtering and Fourier transform. The acupuncture procedure was divided into 3 stages, inserting, lifting-thrusting, and twisting. The results showed that the accuracy was 96.3% at lifting-thrusting stage, and that was 100.0% at twisting stage. The decomposition effect of the entire procedure was satisfactory. This study provides a new approach to the quantitative analysis of acupuncture manipulation. In the future, it needs to further optimize the algorithm and expand the sample size so as to improve the accuracy of this analytic technique.
Acupuncture Therapy/methods* ; Male ; Animals ; Swine ; Acupuncture Points ; Humans ; Swine, Miniature ; Needles

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

ObjectiveTo analyze the spectrum distribution characteristics of high-intensity productive noise in key industries in Guangdong Province. Methods A total of 2 806 enterprises in 21 prefecture-level cities in Guangdong Province were selected as the study subjects using the stratified sampling method. On-site investigations were conducted in workplaces. Noise in workplaces and work-sites, and the noise spectrum of the workplaces with sound pressure level ≥85.0 dB(A) were detected. Results The noise of a total of 23 076 workplaces and 20 969 work sites from 30 key industries were monitored. The median (M) and 25th and 75th percentiles (P₂₅, P₇₅) of workplace sound pressure level were 82.3 (78.6, 86.5) dB(A). The rate of the noise exceeded national standard was 30.4%. The sound pressure level M (P₂₅, P₇₅) of work-site was 78.6 (70.0, 83.5) dB(A). The rate of the noise exceeded national standard was 18.0%. Workplace noise and work site noise were positively correlated (Spearman correlation coefficient=0.86, P<0.01). The rate of the noise exceeded national standard was 46.5% in key work sites where the rate of noise exceeded the national standard was ≥25.0%, and corresponding rate of the workplace noise exceeded national standard was 58.1%. The noise spectrum result of 5 636 workplaces sound pressure level>85.0 dB(A) showed that most of the noise source was from grinding machines (441 cases), and the highest average sound pressure level of noise source was from screening machines [93.0 dB(A)]. Cluster analysis results showed that the main noise sources could be divided into three categories, including wideband noise with levels >80.0 dB in all frequency bands except 8 000.0 Hz, medium-high-frequency noise with the highest sound pressure level at 1 000.0, 2 000.0, and 4 000.0 Hz and low frequencies <75.0 dB, and medium-low-frequency noise below 500.0 Hz with sound pressure level >85.0 dB. Conclusion The rate of the noise exceeded national standard in workplace of key industries in Guangdong Province is high, involving a wide range of industries, with high sound pressure levels and obvious spectrum characteristics of corresponding noise sources. Corresponding noise control strategies can be formulated based on different spectrum characteristics and magnitudes.

Objective:To build a training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province, promoting homogeneous management and standardized promotion of traditional Chinese medicine nursing tourism project.Methods:From July 2022 to June 2023, purposive sampling was used to select 20 experts from ClassⅢ traditional Chinese medicine hospitals in Zhejiang Province for Delphi expert consultation. Two rounds of consultation were conducted via email to construct a training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province.Results:In the two rounds of expert consultation, the effective response rate of the questionnaire was 100% (20/20), the familiarity coefficient of the experts was 0.89, the judgment coefficient was 0.94, and the authority coefficient of the experts was 0.92. The Kendall harmony coefficients for two rounds of consultation were 0.268 and 0.105, respectively, with statistically significant differences ( P<0.001). The training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province included six first-level indicators, 22 second-level indicators, 74 third-level indicators, and 28 fourth-level indicators. Conclusions:The construction process of the training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province is rigorous and standardized, providing reference for training and helping to promote innovation and sustainable development of traditional Chinese medicine nursing.

Objective To summarize the clinical characteristics of patients with occupational melanosis. Methods Diagnostic data of 69 patients with occupational melanosis was analyzed using retrospective analysis. Results The main occupational hazards for the 69 patients with occupational melanosis were coal tar, petroleum and its fractionated products, pigments and dyes and their intermediates, rubber additives and rubber products. The median length of occupational exposure and disease latency were 8.0 and 6.0 years, respectively, with a highly positive correlation between them (Spearman correlation coefficients=0.962, P<0.01). Skin lesions were mainly found on exposed areas such as the face-to-neck and limbs, prevalence of 94.2% and 75.4% respectively. And 78.3% of patients had skin lesion on more than two sites. The lesions were mostly in the form of irregular flakes (59.4%), with a gray-black color (44.9%). About 43.5% of patients experienced skin itching. Complete blood count, liver function, and kidney function were all within normal ranges. Skin biopsy results showed that epidermal hyperkeratosis, thinning of the spinous layer, liquefaction degeneration of basal cells, increased superficial dermal melanocytes, and infiltration of lymphocytes, histiocytes, and melanocytes around the blood vessels. Reflectance confocal microscopy (RCM) detection showed focal liquefaction degeneration of basal cells in the lesions, with a significant infiltration of melanocytes and inflammatory cells in the dermal papillae and superficial layers. Conclusion The primary target organ of occupational melanocytes is the skin, and no damage to other organs was identified thus far. Results from skin biopsies and RCM examinations can be used for differential diagnosis.