ObjectiveTo analyze the research status and development trends of non-pharmacological therapies for post-stroke spasticity (PSS) over the past two decades. MethodsRelevant literatures on non-pharmacological rehabilitation of PSS published from January, 2004 to June, 2024 were retrieved from Web of Science Core Collection. CiteSpace 6.3.R6 and VOSviewer 1.6.18 were used for visualization analysis. ResultsA total of 780 publications were included. The annual number of publications showed an overall upward trend. China, the USA, and Italy contributed the highest number of publications. The Hong Kong Polytechnic University and researcher Noureddin Nakhostin Ansari were identified as the most influential institution and author, respectively. High-frequency keywords and cluster labels included electric stimulation, transcranial magnetic stimulation, robot and acupuncture. ConclusionOver the past 20 years, researches on non-pharmacological therapies for PSS have remained active, with hotspots focusing on diverse interventions such as electrical stimulation, magnetic stimulation and robot-assisted therapy.

Objective To investigate the cognition level and behavior compliance of blood pressure measurement in community residents and analyze the related influencing factors, and to provide evidence for community health management and blood pressure control. Methods A questionnaire survey was conducted to investigate 4470 community patients. Questionnaires included basic personal information，blood pressure measurement cognition, and blood pressure measurement behavior related issues. SPSS 19.0 was used to analyze the basic information, blood pressure measurement cognition, and pressure measurement behavior of the survey subjects. Logistic regression was performed to analyze relevant factors affecting blood pressure measurement cognition and behavior compliance. Results The overall cognitive compliance rate for blood pressure measurement among the visiting community patients was 31.52%. Age, education level, and chronic disease had a statistically significant impact on the cognitive knowledge (P<0.05). The overall behavior compliance rate of blood pressure measurement among the community patients was 23.69%. The cognition, age and education had a statistically significant impact on the overall behavior compliance rate of blood pressure measurement (P<0.05). Conclusion The cognitive level and standardized behavior of blood pressure measurement of community patients need to be improved. More attention should be paid to the elderly, low education level residents and community residents without chronic diseases, to promote community residents to form correct and standardized behavior of blood pressure measurement through health education.

Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.

Objective: To explore the potential category patterns of risk prevention and control behaviors of HIV infection among young students who have sex with men (MSM) and their impact on HIV infection and late detection, aiming to optimize intervention strategies. Methods: From September 2017 to December 2024, a total of 1 637 MSM young students in Tianjin were recruited through both online and offline channels. Latent class analysis was applied to classify 11 HIV risk prevention and control behaviors [condom use during the most recent anal sex in the past 6 months, consistent condom use, use of water based lubricants, abstinence from recreational drugs, regular on site professional testing, fixed sexual partners, partner testing, awareness of partner s HIV testing results, testing before sexual activity, nucleic acid testing, and use of pre exposure prophylaxis (PrEP) or post exposure prophylaxis (PEP)]. Multivariate Logistic regression analyzed associations between demographic characteristics/intervention services factors and latent classes. Differences in HIV infection and late detection across behavior patterns were compared. Results: HIV risk prevention and control behaviors among MSM students were classified into three latent classes:condom dependent group (38.42%), low prevention group (27.73%), and comprehensive prevention group (33.85%). Students who received condom promotion/testing services were more likely to belong to the comprehensive prevention group ( OR =5.58), while those who received peer education were less likely to the comprehensive prevention group ( OR =0.43) (both P <0.01). Among the MSM student population, the HIV infection rate was 4.83%, with 2.26% of cases detected late. The HIV infection rate (1.45%) and late detection proportion (0.82%) in the comprehensive prevention group were lower than those in the low prevention group (7.89% and 3.83%, respectively) ( χ 2=16.20, 7.31, both P <0.01). Conclusions HIV risk prevention and control behaviors among MSM young students exhibit significant heterogeneity. Comprehensive prevention strategies can effectively reduce HIV infection and late detection risks. It is necessary to optimize peer education content and improve the accessibility of diversified prevention measures such as PrEP/PEP to enhance HIV prevention and control.

Objective:To determine incidence of seasonal influenza virus infection in the community and to analyze the factors influencing seasonal influenza virus infection.Methods:This study recruited residents aged 6-59 years to build a cohort in 15 villages/streets in Macheng city in November 2019. Meanwhile, a cross-sectional baseline survey was conducted immediately to collect sera, information on demographics and child protection knowledge, behaviors, as well as attitudes using a questionnaire from the participants enrolled in the cohort (i.e., before the influenza epidemic season). In July 2020, a cross-sectional follow-up survey was conducted to collect sera once again (i.e., after the influenza season). Paired sera from the two cross-sectional surveys were tested for influenza virus-specific antibodies by hemagglutination inhibition (HI) test or micro-neutralization (MN) test using a circulating representative strain of each subtype/lineage of influenza virus as the test antigen. The infections with influenza virus subtype/lineage was confirmed if there was a four-fold or more increase in titers of antibodies against circulating representative strain of the subtype/lineage of influenza virus. Factors influencing infection with influenza A (H3N2) and B/Victoria viruses were analyzed using univariable and multivariable logistic regression.Results:In November 2019, 800 study participants were enrolled in the cohort, including 340 children aged 6-17 years and 460 adults aged 18-59 years; 605 study participants (including 224 children and 381 adults) were followed up in July 2020 and their paired sera were obtained before and after the influenza season. 25.3% (153/605) of the participants were confirmed to be infected with at least one subtype/lineage of seasonal influenza virus by HI and MN tests. The overall incidence of influenza viruses of all subtypes/lineages in children was 44.2% (95% CI: 37.6%-50.8%) which was significantly higher than the incidence of 14.1% in adults (95% CI: 10.7%-17.7%). Children had the highest incidence of influenza A (H3N2) virus infection, followed by B/Victoria. MN or HI antibody titers in A (H3N2)[ OR=0.88 (95% CI: 0.84-0.93)] and B/Victoria[ OR=0.97 (95% CI: 0.95-0.99)] before the influenza season were significantly associated with whether children were infected with that subtype/lineage of influenza virus. Conclusions:The residents aged 6-59 years in Macheng city had a substantial incidence of seasonal influenza virus infection during the influenza season from winter 2019 to spring 2020. Notably, almost half of children aged 6-17 years have been infected with seasonal influenza virus. Higher titers of HI/MN antibodies against seasonal influenza virus before the influenza season would be likely to reduce the risk of infection with influenza A (H3N2) and B/Victoria.

[Objective]People infected with Hepatitis B are often divided into hepatitis B carriers and hepatitis B patients based on whether ALT is normal or not,and ALT ≥ 2UNL is one of the indications for clinical antiviral treatment,but no sufficient evidence to justify this. In order to explore the theoretical basis,the paper investigated the effects of hepatitis B virus(HBV) on hepatic stellate cells(HSCs).[Methods]A total of 132 chronic hepatitis B patients with different viral loads and ALT levels were randomly selected as the study subjects. Of these patients,those with ALT≥2UNL were treated with antiviral therapy and followed up for 24 weeks. The effects of HBV on HSCs before and after the treatment were compared and analyzed. HSCs proliferation was detected by MTT method,HSCs cell cycle by flow cytometry,and expression of TGF-β1,Smad3,Smad7,α-SMA,collagen Ⅰ,collgen Ⅲ mRNAs and corresponding proteins by RT-PCR and Western blotting,respectively.[Results]At the normal ALT level,HBV with different viral loads had no significant effect on the proliferation,cell cycle and cell secretion of the HSCs. At the abnormal ALT level,especially when ALT ≥ 2UNL,with the increase of virus loads,HSCs proliferation accelerated;cells in the G0/G1 phase decreased significantly and cells in the S and G2/M phases increased significantly;the expression of TGF-β1,Smad3,α-SMA,collagen Ⅰ,collgen Ⅲ mRNAs and corresponding proteins increased significantly,but Smad7 mRNA and protein expression decreased significantly,the differences were statistically significant. HBV showed a significantly lower effect on HSCs after the antiviral therapy than before.[Conclusions]This paper reveals the differential effects of HBV on HSCs at different ALT levels and presents a comparative analysis of the effects before and after the antiviral therapy,which provides a theroretical basis for identifying the ALT level as an indication for HBV antiviral therapy.

BACKGROUND:The high rate of postoperative hypoproteinemia in patients undergoing hip revision is associated with severe trauma,which affects the rapid recovery of patients. OBJECTIVE:To investigate the risk factors of perioperative hypoproteinemia in patients with hip revision,and to provide guidance for early screening of high-risk patients with postoperative hypoproteinemia. METHODS:According to the inclusion and exclusion criteria,161 patients who underwent hip revision were divided into hypoproteinemia group(76 cases)and normal group(85 cases).The rate of hypoproteinemia was 47.2%.Data such as age,gender,body mass index,osteoporosis,operation time,preoperative erythrocytes,preoperative hemoglobin,preoperative leukocytes,preoperative platelets,preoperative fibrinogen,preoperative C-reaction protein,preoperative sedimentation rate,preoperative blood calcium,preoperative albumin,postoperative drainage tube placement,American Society of Anesthesiologists score,and postoperative hypoproteinemia were collected.SPSS software was used to analyze the independent risk factors of hypoproteinemia after hip revision using multivariate binary logistic regression analysis.R software was used to construct the nomogram prediction model.Receiver operating characteristic curve and calibration curve and decision curve were drawn to evaluate the model. RESULTS AND CONCLUSION:(1)Univariate analysis results showed that body mass index,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative fibrinogen,preoperative C-reaction protein,and operation time were significantly different between the two groups(P<0.05).(2)Multivariate binary Logistic regression analysis results showed that body mass index(OR=0.859,P=0.021),operation time(OR=1.010,P=0.002),preoperative erythrocytes(OR=0.424,P=0.036),and preoperative C-reaction protein(OR=1.043,P=0.032)levels were independent risk factors for postoperative hypoproteinemia in patients with hip revision.(3)Based on four independent risk factors:body mass index,operation time,preoperative erythrocytes and preoperative C-reaction protein,the nomogram can effectively predict the risk of hypoproteinemia after hip revision.This nomogram prediction model has good differentiation and accuracy,and may lead to better clinical net benefits for patients.

BACKGROUND:Trunk pressure biofeedback is considered a reliable indicator for assessing core muscle strength.It not only reflects the status of an individual's trunk strength but also has a close relationship with the function of respiratory muscles. OBJECTIVE:To explore the correlation between trunk pressure biofeedback and diaphragmatic function in young adults. METHODS:A total of 80 young adults from Shangrao Normal University,China were enrolled,including 34 males and 46 females,with an average age of(19.83±1.45)years.Diaphragmatic thickness and mobility were measured using a bedside musculoskeletal ultrasound system.Maximum inspiratory pressure was determined using a portable pulmonary function tester.Lumbar and abdominal pressures in prone and supine positions were assessed using a pressure biofeedback device.The degree of correlation between trunk pressure biofeedback and diaphragmatic function was determined using Pearson or Spearman correlation coefficients.A multivariate linear regression analysis was used to determine predictive models for diaphragmatic function. RESULTS AND CONCLUSION:Grouped by sex,age,height,body mass,trunk pressure biofeedback values,diaphragm thickness during quiet inspiration and expiration,diaphragmatic thickening ratio during quiet breathing,diaphragmatic thickness during deep inspiration and expiration,diaphragmatic thickening ratio during deep breathing,diaphragmatic mobility during deep inspiration,and maximum inspiratory pressure were higher in the male group than the female group(all P<0.05).Grouped by physical activity level,trunk pressure biofeedback values and maximum inspiratory pressure were lower in the sedentary group than in the exercise group(both P<0.05).Both anterior and posterior trunk pressure biofeedback were significantly correlated with diaphragmatic thickness during quiet inspiration and expiration,diaphragmatic thickening ratio during quiet breathing,diaphragmatic thickness during deep inspiration and expiration,diaphragmatic thickening ratio during deep breathing,diaphragmatic mobility during deep inspiration,and maximum inspiratory pressure(all P<0.01).Anterior trunk pressure biofeedback entered the predictive model for diaphragmatic thickness during quiet inspiration(F=27.228,P<0.001),during deep inspiration(F=38.615,P<0.001),and along with age for diaphragmatic mobility during deep inspiration(F=15.408,P<0.001).Anterior trunk pressure biofeedback,body mass,and age entered the predictive model for maximum inspiratory pressure(F=22.314,P<0.001).To conclude,there is a strong correlation between trunk pressure biofeedback and diaphragmatic thickness,diaphragmatic mobility,and maximum inspiratory pressure.The rapid and simple measurement of trunk pressure biofeedback can serve as a method for screening the diaphragmatic function in healthy young adults.

BACKGROUND:Establishing a nomogram prediction model for postoperative pulmonary infection in hip fractures and taking early intervention measures is crucial for improving patients'quality of life and reducing medical costs. OBJECTIVE:To construct a nomogram risk prediction model of postoperative pulmonary infection in elderly patients with hip fracture,and provide theoretical basis for feasible prevention and early intervention. METHODS:Case data of 305 elderly patients with hip fractures who underwent surgical treatment at Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine between January and October 2020(training set)were retrospectively analyzed.Using univariate and multivariate logistic regression analysis and Hosmer-Lemeshow goodness of fit test,receiver operating characteristic curve was utilized to analyze the diagnostic predictive efficacy of independent risk factors and joint models for postoperative pulmonary infections.Tools glmnet,pROC,and rms in R Studio software were applied to construct a nomogram model for predicting the risk of postoperative pulmonary infection in elderly patients with hip fractures,and calibration curves were further drawn to verify the predictive ability of the nomogram model.Receiver operating characteristic curves,calibration curves,and decision curves were analyzed for 133 elderly patients with hip fractures(validation set)receiving surgery at the same hospital from November 2022 to March 2023 to further predict the predictive ability of the nomogram model. RESULTS AND CONCLUSION:(1)The postoperative pulmonary infection rate in elderly patients with hip fractures in this group was 9.18%(28/305).(2)Single factor and multivariate analysis,as well as forest plots,showed that preoperative hospitalization days,leukocyte count,hypersensitive C-reactive protein,and serum sodium levels were independent risk factors(P<0.05).The Hosmer-Lemeshow goodness of fit test showed good fit(χ2=4.57,P=0.803).Receiver operating characteristic curve analysis was conducted on the independent risk factors and their joint models mentioned above,and the differentiation of each independent risk factor and joint model was good,with statistical significance(P<0.05).(3)The graphical calibration method,C-index,and decision curve were used to validate the nomogram prediction model.The predicted calibration curve was located between the standard curve and the acceptable line,and the predicted risk of the nomogram model was consistent with the actual risk.(4)The validation set used receiver operating characteristic curve,graphic calibration method,and decision curve to validate the prediction model.The results showed good consistency with clinical practice,indicating that the model had a good fit.The nomogram risk prediction model constructed for postoperative pulmonary infection in elderly patients with hip fractures has good predictive performance.The use of the nomogram risk prediction model can screen high-risk populations and provide a theoretical basis for early intervention.