Objective To analyze the factors affecting the prevalence of hyperuricemia(HUA)in an island troop.Methods A total of 1 113 soldiers stationed on an island from December 2021 to December 2022 were selected as research objects by cluster sampling.Their lifestyle and health information were collected.Physical examination and laboratory detection were conducted.Multivariate logistic regression was used to analyze the influencing factors of HUA.Results The prevalence rate of HUA was 21.02%(234/1 113).There were significant differences in the body mass index(BMI),waist-to-hip ratio,triglyceride,alanine aminotransferase,and creatinine between the soldiers with hyperuricemia and the soldiers with normal blood uric acid(P<0.05).Multivariate logistic regression analysis showed that BMI≥24(OR=1.49,95%CI:1.09-2.05),abnormal liver function(OR=2.26,95%CI:1.31-3.92),and dyslipidemia(OR=1.46,95%CI:1.01-2.12)were positively correlated with hyperuricemia;age>30 years old(OR=0.59,95%CI:0.37-0.93)and exercise time>1 h per week(OR=0.46,95%CI:0.22-0.97)were negatively correlated with HUA.Conclusion The prevalence rate of hyperuricemia is at a high level in an island troop.BMI≥24,age≤30 years old,exercise time≤1 h per week,abnormal liver function,and dyslipidemia are the risk factors for HUA.Prevention and control measures should be taken as early as possible for the soldiers with these risk factors.

Objective: To analyze serological and molecular characteristics of asymptomatic HBV infection in HBV surface antigen positive (HBsAg+) blood donors from Dalian. Methods: The prevalence of HBsAg was analyzed among blood donors in Dalian between 2013 and 2022. Randomly selected HBsAg+ blood samples were subjected to HBV serological testing, HBV viral DNA quantification, and HBV genotyping. Results: Over this ten-year period, the prevalence of HBsAg decreased from 1.25% to 0.50% among blood donors in Dalian. Donors who tested positive for HBsAg prior to donation using a rapid test (RT) accounted for 92.5% of all HBsAg+ donors identified. A total of 240 confirmed HBsAg+ blood donors were randomly selected, including 125 donors with positive results and 115 with negative results in the pre-donation rapid test. HBsAg+ donors were mainly males (71.2%), with a median age of 42, and 97.5% of them being first-time donors. Based on HBV serological profiles, three stages of infection were identified: early infection (2.9%), suspected acute hepatitis (0.8%), and chronic infection (96.3%). The dominant HBV genotypes were C (68.9%) and B (28.4%). Among chronic HBV infection individuals, donors infected with HBV genotype B were older than those infected with genotype C (median age: 45y vs 38.5y, P<0.05). Additionally, they showed significantly lower HBsAg levels with a narrower distribution range than those infected with genotype C [median: 23.2 IU/mL (range: <0.05-7 910 IU/mL) vs 968 IU/mL (range: <0.05-3.4×10 ), P<0.05]. However, no significant difference was observed in the HBV DNA loads between these two genotypes (P>0.05). Conclusion: Between 2013 and 2022, the prevalence of HBsAg among blood donors in Dalian showed a year-over-year decline. Chronic infection was predominant among HBsAg+ first-time blood donors. The characteristics of chronic infection in blood donors differed significantly depending on the viral genotype, manifesting as differences in age of infected individuals and HBsAg level distribution.

OBJECTIVE: To evaluate the effectiveness of functional perforator flaps utilizing the superficial circumflex iliac artery as a vascular pedicle, as well as chimeric iliac bone flaps, in the reconstruction of composite tissue defects in the hand and foot. METHODS: A retrospective review of the clinical data from 13 patients suffering from severe hand or foot injuries, treated between May 2019 and January 2025, was conducted. The cohort comprised 8 males and 5 females, with ages ranging from 31 to 67 years (mean, 48.5 years). The injuries caused by mechanical crush incidents (n=9) and traffic accidents (n=4). The distribution of injury sites included 8 cases involving the hand and 5 cases involving the foot. Preoperatively, all patients exhibited bone defects ranging from 2.0 to 6.5 cm and soft tissue defects ranging from 10 to 210 cm². Reconstruction was performed using functional perforator flaps based on the superficial circumflex iliac artery and chimeric iliac bone flaps. The size of iliac bone flaps ranged from 2.5 cm×1.0 cm×1.0 cm to 7.0 cm×2.0 cm×1.5 cm, while the size of the soft tissue flaps ranged from 4 cm×3 cm to 15 cm×8 cm. In 1 case with a significant hand defect, a posterior interosseous artery perforator flap measuring 10.0 cm×4.5 cm was utilized as an adjunct. Likewise, an anterolateral thigh perforator flap measuring 25 cm×7 cm was combined in 1 case involving a foot defect. All donor sites were primarily closed. Postoperative flap survival was monitored, and bone healing was evaluated through imaging examination. Functional outcomes were assessed based on the location of the defects: for hand injuries, grip strength, pinch strength, and flap two-point discrimination were measured; for foot injuries, the American Orthopaedic Foot & Ankle Society (AOFAS) score, visual analogue scale (VAS) score, Maryland Foot Score, plantar pressure distribution and gait symmetry index (GSI) were evaluated. RESULTS: All flaps survived completely, with primary healing observed at both donor and recipient sites. All patients were followed up 6-18 months (mean, 12.2 months). No significant flap swelling or deformity was observed. Imaging examination showed a bone callus crossing rate of 92.3% (12/13) at 3 months after operation, and bone density recovered to more than 80% of the healthy side at 6 months. The time required for bone flap integration ranged from 2 to 6 months (mean, 3.2 months). One patient with a foot injury exhibited hypertrophic scarring at the donor site; however, no major complication, such as infection or bone nonunion, was noted. At 6 months after operation, grip strength in 8 patients involving the hand recovered to 75%-90% of the healthy side (mean, 83.2%), while pinch strength recovered to 70%-85% (mean, 80%). Flap two-point discrimination ranged from 8 to 12 mm, approaching the sensory capacity of the healthy side (5-8 mm). Among the 5 patients involving the foot, the AOFAS score at 8 months was 80.5±7.3, VAS score was 5.2±1.6. According to the Maryland Foot Score, 2 cases were rated as excellent and 3 as good. Gait analysis at 6 months after operation showed GSI above 90%, with plantar pressure distribution closely resembling that of the contralateral foot. CONCLUSION The use of functional perforator flaps based on the superficial circumflex iliac artery, combined with chimeric iliac bone flaps, provides a reliable vascular supply and effective functional restoration for the simultaneous repair of composite bone and soft tissue defects in the hand or foot. This technique represents a viable and effective reconstructive option for composite tissue defects in these anatomical regions.
Humans ; Male ; Middle Aged ; Female ; Perforator Flap/transplantation* ; Adult ; Plastic Surgery Procedures/methods* ; Hand Injuries/surgery* ; Aged ; Retrospective Studies ; Foot Injuries/surgery* ; Ilium/transplantation* ; Iliac Artery/surgery* ; Soft Tissue Injuries/surgery* ; Bone Transplantation/methods* ; Treatment Outcome

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

OBJECTIVES: To compare the anti-inflammatory, antibacterial and analgesic effects of Yinqiao Powder (YQS) formulated granules and decoction. METHODS: We first evaluated the anti-inflammatory effects of the two dosage forms of YQS in a LPS-induced RAW 264.7 cell model using RT-qPCR and Western blotting. We further constructed zebrafish models of inflammation by copper sulfate exposure, caudal fin transection, or LPS and Poly (I:C) microinjection, and evaluated anti-inflammatory effects of YQS granules and decoction by examining neutrophil aggregation and HE staining findings. In a mouse model of acute lung injury (ALI) induced by intratracheal LPS instillation, the effects of YQS gavage at 10, 15, and 20 g/kg on lung pathologies were evaluated by calculating lung wet-dry weight ratio and using HE staining, ELISA and Western blotting. The microbroth dilution method was used to evaluate the antibacterial effect of YQS. Mouse pain models established by hot plate and intraperitoneal injection of glacial acetic acid were used to evaluate the analgesic effects of YQS at 10, 15, and 20 g/kg. RESULTS: Both YQS granules and decoction significantly reduced TNF-α, IL-6, and IL-1β expressions and p-STAT3 (Tyr 705) phosphorylation level in LPS-induced RAW 264.7 cells, and obviously inhibited neutrophil aggregation in the zebrafish models. In ALI mice, YQS granules and decoction effectively ameliorated lung injury, lowered lung wet-dry weight ratio, and reduced p-STAT3 (Tyr 705) expression and TNF-α and IL-6 levels. YQS produced obvious antibacterial effect at the doses of 15.63 and 31.25 mg/mL, and significantly reduced body torsion and increased pain threshold in the mouse pain models. CONCLUSIONS The two dosage forms of TQS have similar anti-inflammatory, antibacterial and analgesic effects with only differences in their inhibitory effect on TNF-α, IL-6 and IL-1β mRNA expressions in LPS-induced RAW 264.7 cells.
Animals ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Anti-Inflammatory Agents/pharmacology* ; Analgesics/pharmacology* ; RAW 264.7 Cells ; Zebrafish ; Anti-Bacterial Agents/pharmacology* ; Powders ; Tumor Necrosis Factor-alpha/metabolism* ; Acute Lung Injury/drug therapy* ; Interleukin-6/metabolism* ; Lipopolysaccharides

Objective:To explore the lifestyle pattern of the physical examination population and analyze its association with metabolic associated fatty liver disease (MAFLD).Methods:This was a cross-sectional study. Based on the data of 196 515 physical examination individuals from the Health Management Center of the Third Xiangya Hospital of Central South University from January 2016 to December 2020, the subjects were grouped and characterized by principal component analysis and cluster analysis. Among them, 137 277 cases with MAFLD diagnosis information were included in the association analysis between lifestyle pattern and MAFLD. The differences in lifestyle pattern choice among different age, sex, education level, marital status, occupational category and medical insurance type and their differences with the risk of MAFLD were analyzed. The generalized linear mixed model was used to control confounding factors and then association analysis was conducted.Results:There were 6 types of lifestyle patterns in the physical examination population, which were respectively: indulgent type-both physical and mental damage, remedial type-excessive diet, giving type-unique intensity, comfortable type-natural health, heavy smoking type-sedentary injury, heavy drinking type-attempting to make up, accounting for 7.29%, 9.62%, 7.43%, 52.16%, 9.77%, 13.73% in the population. Among them, the male lifestyle pattern was mainly the indulgent type, the remedial type, the heavy smoking type and the heavy drinking type, showing the characteristics of unhealthy lifestyle pattern; Women tended to have healthier lifestyle patterns. After association analysis with MAFLD, it was found that the prevalence of MAFLD was more than 50% in the people who belonged to the indulgent type, remedial type, the heavy smoking type and the heavy drinking type (53.62%, 57.06%, 51.25% and 50.50%, respectively), and the prevalence of MAFLD in the giving type group was 40.17%. The risk of MAFLD in comfortable group was relatively low (28.25%), and the difference in risk of MAFLD among all modes was statistically significant after controlling for confounding factors ( P<0.001). Conclusion:According to cluster mining, there are 6 types of lifestyle patterns in the physical examination population, and the healthier lifestyle pattern has a lower risk of MAFLD.

Objective:To explore the lifestyle pattern of the physical examination population and analyze its association with metabolic associated fatty liver disease (MAFLD).Methods:This was a cross-sectional study. Based on the data of 196 515 physical examination individuals from the Health Management Center of the Third Xiangya Hospital of Central South University from January 2016 to December 2020, the subjects were grouped and characterized by principal component analysis and cluster analysis. Among them, 137 277 cases with MAFLD diagnosis information were included in the association analysis between lifestyle pattern and MAFLD. The differences in lifestyle pattern choice among different age, sex, education level, marital status, occupational category and medical insurance type and their differences with the risk of MAFLD were analyzed. The generalized linear mixed model was used to control confounding factors and then association analysis was conducted.Results:There were 6 types of lifestyle patterns in the physical examination population, which were respectively: indulgent type-both physical and mental damage, remedial type-excessive diet, giving type-unique intensity, comfortable type-natural health, heavy smoking type-sedentary injury, heavy drinking type-attempting to make up, accounting for 7.29%, 9.62%, 7.43%, 52.16%, 9.77%, 13.73% in the population. Among them, the male lifestyle pattern was mainly the indulgent type, the remedial type, the heavy smoking type and the heavy drinking type, showing the characteristics of unhealthy lifestyle pattern; Women tended to have healthier lifestyle patterns. After association analysis with MAFLD, it was found that the prevalence of MAFLD was more than 50% in the people who belonged to the indulgent type, remedial type, the heavy smoking type and the heavy drinking type (53.62%, 57.06%, 51.25% and 50.50%, respectively), and the prevalence of MAFLD in the giving type group was 40.17%. The risk of MAFLD in comfortable group was relatively low (28.25%), and the difference in risk of MAFLD among all modes was statistically significant after controlling for confounding factors ( P<0.001). Conclusion:According to cluster mining, there are 6 types of lifestyle patterns in the physical examination population, and the healthier lifestyle pattern has a lower risk of MAFLD.

Objective To investigate the predictive value of bone metabolism parameters on cardiac autonomic nervous system function in patients with type 2 diabetes mellitus(T2DM).Methods A total of 328 patients with T2DM hospitalized in the Department of Endocrinology of Gansu Provincial People's Hospital were enrolled in this study from October 2022 to October 2023.According to the serum 25(OH)D level,all the participants were divided into<10 ng/ml group(n=80),10～20 ng/ml group(n=173),and 20～30 ng/ml group(n=75).Biochemical indicators,bone metabolic parameters,left ventricular mass(LVM)and left ventricular mass index(LVMI)were compared.Time domain indicators ofheart rate variability(HRV)in 24 h holter electrocardiogram,including the global standard deviation of normal sinus RR interval(SDNN),sinus RR interval mean standard deviation(SDANN),and normal continuous sinus RR interval difference root mean square(RMSSD).Meanwhile,adjacent RR interval difference>50 ms as a percentage of the total inter-period(PNN50),HRV triangle index,standard deviation of the difference between the length of the entire adjacent NN interperiod(SDSD),and 24 h holter electrocardiogram HRV time-domain relevant indicators were compared among the three groups.The influence of bone metabolism parameters on cardiac autonomic nervous function and their correlation were analyzed,and the optimal cutting point of cardiac autonomic nervous function was predicted by receiver operating characteristic(ROC)curve.Results SBP,heart rate(HR),FPG,PWV,PTH and β-CTX in groups of 10 ng/ml,10～20 ng/ml and 20～30 ng/ml decreased in turn(P<0.05),while HDL-C,ABI,25(OH)D,Ca2+and PNN50 decreased.Correlation analysis between Spearman and Pearson showed that 25(OH)D was positively correlated with SDNN,HRV triangle index,PNN50 and rMSSD(P<0.01).Logistic regression analysis showed that 25(OH)D,Ca2+and HR were the influencing factors of cardiac autonomic nervous dysfunction in patients with T2DM.The ROC curve analysis showed that the areas under the ROC curve of 25(OH)D,Ca2+and HR were 0.791,0.607 and 0.629,respectively,with sensitivity of 73.4%,53.2%and 38.7%,and specificity of 74.0%,93.6%and 81.4%,respectively.Conclusions 25(OH)D is the influencing factor of cardiac autonomic nervous dysfunction in patients with T2DM,and patients with high degree of deficiency are more prone to cardiac autonomic nervous dysfunction.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective To investigate the predictive value of bone metabolism parameters on cardiac autonomic nervous system function in patients with type 2 diabetes mellitus(T2DM).Methods A total of 328 patients with T2DM hospitalized in the Department of Endocrinology of Gansu Provincial People's Hospital were enrolled in this study from October 2022 to October 2023.According to the serum 25(OH)D level,all the participants were divided into<10 ng/ml group(n=80),10～20 ng/ml group(n=173),and 20～30 ng/ml group(n=75).Biochemical indicators,bone metabolic parameters,left ventricular mass(LVM)and left ventricular mass index(LVMI)were compared.Time domain indicators ofheart rate variability(HRV)in 24 h holter electrocardiogram,including the global standard deviation of normal sinus RR interval(SDNN),sinus RR interval mean standard deviation(SDANN),and normal continuous sinus RR interval difference root mean square(RMSSD).Meanwhile,adjacent RR interval difference>50 ms as a percentage of the total inter-period(PNN50),HRV triangle index,standard deviation of the difference between the length of the entire adjacent NN interperiod(SDSD),and 24 h holter electrocardiogram HRV time-domain relevant indicators were compared among the three groups.The influence of bone metabolism parameters on cardiac autonomic nervous function and their correlation were analyzed,and the optimal cutting point of cardiac autonomic nervous function was predicted by receiver operating characteristic(ROC)curve.Results SBP,heart rate(HR),FPG,PWV,PTH and β-CTX in groups of 10 ng/ml,10～20 ng/ml and 20～30 ng/ml decreased in turn(P<0.05),while HDL-C,ABI,25(OH)D,Ca2+and PNN50 decreased.Correlation analysis between Spearman and Pearson showed that 25(OH)D was positively correlated with SDNN,HRV triangle index,PNN50 and rMSSD(P<0.01).Logistic regression analysis showed that 25(OH)D,Ca2+and HR were the influencing factors of cardiac autonomic nervous dysfunction in patients with T2DM.The ROC curve analysis showed that the areas under the ROC curve of 25(OH)D,Ca2+and HR were 0.791,0.607 and 0.629,respectively,with sensitivity of 73.4%,53.2%and 38.7%,and specificity of 74.0%,93.6%and 81.4%,respectively.Conclusions 25(OH)D is the influencing factor of cardiac autonomic nervous dysfunction in patients with T2DM,and patients with high degree of deficiency are more prone to cardiac autonomic nervous dysfunction.