Objective:To assess the safety,efficacy and potential impact of stem cell therapy(SCT)in improving erectile dys-function(ED).Methods:A comprehensive search strategy was used to search the literatures on safety and efficacy evaluation of stem cell(SC)in the treatment of ED by human clinical trials from PubMed,Embase and Web of science databases with a search time frame from database creation to July 4,2024.The exclusion criteria were as follows:reviews,conference abstracts,animal experi-ments,and duplicate sample literature.Results:The study initially screened 1 773 papers,and 17 were included in the final analy-sis.These studies involved a total of 269 ED patients,and a variety of sources of stem cells had been used in the treatment of ED,in-cluding adipose-derived stem cells,bone marrow-derived stem cells,placental stroma-derived stem cells,umbilical cord-derived stem cells,dental pulp-derived stem cells,and oral mucosa-derived stem cells.All studies were conducted by injecting stem cells into the cavernous body of the penis,but there is no fixed standard for the amount of injection,injection site and number of injections.The op-timal treatment mode was still being explored.Patients' International Index of Erectile Function(IIEF)scores and Erection Hardness Score(EHS),peak systolic velocity(PSV),and end diastolic velocity(EDV)improved after treatment.But some studies showed that the efficacy of the treatment diminished with increasing time.No serious adverse effects were reported in any of the studies and none of the adverse effects persisted for a long period of time.The most common adverse effects included injection site reactions,and SCT showed a good safety and tolerability profile.Conclusion:SCT has the potential to be a promising and innovative regenerative therapy option for ED patients.In the future,with the advancement of stem cell technology,larger randomized controlled studies should continue to be conducted to explore standardized treatments,so as to further evaluate the long-term efficacy and safety of SCT for ED.

Objective To analyze the characteristics and risk factors associated with postoperative deep vein thrombosis(DVT)of the lower extremities in patients undergoing surgery for lumbar degenerative diseases.Methods A retrospective analysis was conducted on clinical data from 298 patients who were hospitalized for lumbar degenerative diseases and underwent lumbar spine surgery treatment in the First Affiliated Hospital of Nanchang University from October 1,2022 to April 15,2023.Patients were divided into DVT group(n=71)and non-DVT group(n=227)according to whether DVT of the lower limbs occurred within 1 week postoperatively.The incidence and distribution characteristics of postoperative DVT were analyzed.Univariate and binary logistic regression analyses were performed to identify risk factors for DVT,and receiver operating characteristic(ROC)curves were used to determine cut-off values for relevant risk factors.Results A total of 298 patients were included,among whom 159 were males(53.4%)and 139 were females(46.6%),with an average age of(64.5±9.8)years.DVT occurred in 71 patients,and the incidence of lower extremity DVT was 23.8%.In the DVT group,there were 49 cases(69.0%)of intermuscular vein thrombosis,and 22 cases of other types of thrombosis(7 cases of peroneal vein thrombosis,4 cases of posterior tibial vein thrombosis,3 cases of common femoral vein thrombosis,1 case of anterior tibial vein thrombosis,and 7 cases of multiple thrombosis);58 cases(81.7%)had DVT in one lower extremity,and 13 cases(18.3%)had DVT in both lower extremities.Univariate analysis results showed that age,body mass index(BMI),length of hospital stay,history of hypertension,operative time,and intraoperative blood loss were associated with the occurrence of lower extremity DVT after surgery for lumbar degenerative diseases(P<0.05).Binary logistic regression analysis results indicated that older age(OR=1.079,P<0.01),higher BMI(OR=1.130,P=0.01),history of hypertension(OR=2.992,P<0.01),and larger intraoperative blood loss(OR=1.002,P=0.03)were independent risk factors for the occurrence of lower extremity DVT.ROC curve analysis demonstrated that patients with age>58.5 years,BMI>24.01 kg/m2,history of hypertension,and intraoperative blood loss>550 ml had a significantly increased risk of postoperative lower limb DVT.Conclusions The incidence of lower extremity DVT after surgery for lumbar degenerative disease is high,and intermuscular venous thrombosis is more common.Older age,higher BMI,history of hypertension,and larger intraoperative blood loss are independent risk factors for the occurrence of lower extremity DVT after surgery.

Objective To develop an enteral nutrition delivery device for nasal feeding patients to relieve gastrointestinal discomfort during enteral nutrition therapy and solve the problems in heating,quality preservation and constant temperature maintenance of the solution.Methods The enteral nutrition delivery device was mainly composed of a nasal feeding container,a fixing frame,a limiting trough,a heating wire,a temperature control unit and a speed control unit.The heating wire and temperature and speed control units were combined to facilitate the nasogastric solution in the container to be delivered to the patient's stomach and intestines at a constant temperature and a uniform speed.The device developed had its shell made of 304 waterproof stainless steel and the nasal feeding container made of 05-polypropylene.Results The device developed realized constant-temperature and uniform-speed delivery and auto cleaning,and could reduced effectively gastrointestinal adverse reactions during nasal feeding.Conclusion The device developed gains advantages in easy operation and autonomous feeding,and thus is worth promoting for nasal feeding patients clinically.[Chinese Medical Equipment Journal,2025,46(2):108-111]

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective:To observe the effect of traditional chinese medicine fumigation combined with medicinal stick acupoint massage in patients with lumbar disc herniation(LDH).Methods:90 patients with LDH who were admitted to our hospital from March 2022 to March 2024 were divided into control group(received conventional treatment,n=45)and observation group(received traditional chinese medicine fumigation combined with acupuncture stick massage,n=45)by envelope drawing method.The clinical efficacy,lumbar range of motion,lumbar function[Japanese Orthopaedic Association Score(JOA),Oswestry Disability Index(ODI)],inflammatory cytokines[C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),interleukin-6(IL-6)],pain severity,and quality of life were compared between two groups.Results:Compared with control group after intervention,the observation group had higher clinical total effective rate,flexion,extension,scoliosis,straight legs Raise(SLR),JOA score,Quality of Life Assessment Scale(SF-36)score,and lower ODI score,Visual analogue Scale(VAS)score,ESR,CRP,and IL-6(P＜0.05).Conclusion:Application of traditional chinese medicine fumigation combined with medicinal stick acupoint massage in patients with LDH,it can reduce pain and inflammation,improve lumbar range of motion,lumbar function,and improve quality of life.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective:To analyze the correlation of monocyte/high density lipoprotein ratio(MHR),neutrophil/lymphocyte ratio(NLR),platelet/lymphocyte ratio(PLR)and bone density,bone metabolism markers in elderly essential hypertension with osteoporosis(OP)patients.Methods:This study was a retrospective study,198 elderly essential hypertension patients who were admitted in our hospital from January 2022 to June 2024 were selected.According to the patient's bone mass test results,patients were divided into normal bone mass group(n=79),osteopenia group(n=68)and OP group(n=51).MHR,NLR,PLR,bone density(left hip,left femoral neck and lumbar spine L1-L4)and bone metabolism markers were compared among three groups,the correlation of MHR,NLR,PLR and bone density,bone metabolism markers were analyzed by Pearson correlation.Results:MHR,NLR,PLR in normal bone mass group,osteopenia group and OP group increased in turn(P＜0.05).The left hip,left femoral neck and lumbar spine L1-L4 bone density in normal bone mass group,osteopenia group,OP group decreased in turn(P＜0.05).25-hydroxyvitamin D[25(OH)D]in normal bone mass group,osteopenia group and OP group decreased in turn,alkaline phosphatase(ALP)and parathyroid hormone(PTH)increased in turn(P＜0.05).MHR,NLR and PLR were negatively correlated with left hip bone density,left femoral neck bone density,lumbar spine L1-L4 bone density,25(OH)D and positively correlated with PTH and ALP(P＜0.05).Conclusion:The increase of MHR,NLR and PLR in elderly essential hypertension with OP patients can affect bone mineral density and bone metabolism.

Objective To analyze the hotspots and frontiers of traditional Chinese medicine treatment for allergic rhinitis(AR)in China,aiming to provide reference for the treatment of AR patients in China.Methods Literatures related to traditional Chinese medicine treatment of AR published by CNKI,Wanfang Data and VIP database from January 2004 to December 2023 were searched,and CiteSpace software was used for visual analysis of the number of literatures,key words,research institutions and authors.Results A total of 1604 literatures were included,and the annual number of literatures generally showed an upward trend.The research frontiers in the last 5 years include medication patterns,immune function,quality of life,data mining,and thumbtack needle.The top five institutions in terms of publications were Beijing University of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Nanjing University of Traditional Chinese Medicine,the First Affiliated Hospital of Beijing University of Traditional Chinese Medicine,and Chengdu University of Traditional Chinese Medicine.The core authors were Yuan Weiling,Yan Daonan,Zhao Jiping,Zhang Qinxiu,and Feng Weiyun.Conclusion The application of traditional Chinese medicine in treatment of AR has always been in a high research heat,and giving full play to the characteristics of traditional Chinese medicine can be the development direction of AR research in the future.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.