OBJECTIVE: To evaluate the analgesic efficacy of ultrasound-guided high fascia iliaca compartment block (HFICB) in managing tourniquet-related pain following total knee arthroplasty (TKA). METHODS: A prospective randomized controlled trial was conducted involving 84 patients with severe knee osteoarthritis or rheumatoid arthritis who underwent unilateral TKA between March 2024 and December 2024. Patients were randomly assigned to two groups ( n=42) using a random number table. In the trial group, ultrasound-guided HFICB was performed preoperatively, with 0.2% ropivacaine injected into the fascia iliaca compartment. No intervention was administered in the control group. Baseline characteristics, including gender, age, surgical side, body mass index, and preoperative visual analogue scale (VAS) scores at rest and during movement, showed no significant difference between the two groups ( P>0.05). In both groups, a tourniquet was applied after osteotomy and before pulsed lavage, and removed after the closure of the first layer of the joint capsule. Postoperative assessments were conducted at 6, 12, 24, and 48 hours, including VAS scores at the tourniquet site (at rest and during movement), Bromage motor block scores, Ramsay sedation scores, and Bruggrmann comfort scale (BCS) scores to evaluate patient comfort. Additionally, the average tramadol consumption and incidence of nausea and vomiting within 48 hours postoperatively were recorded and compared. RESULTS: In the trial group and control group, VAS scores during movement at the tourniquet site significantly improved at all postoperative time points compared to preoperative levels ( P<0.05). VAS scores at rest increased transiently at 6 hours after operation in both groups, and then gradually decreased to the preoperative level. Except that there was no significant difference at 48 hours after operation in the trial group ( P>0.05), there were significant differences at other time points of two groups compared to preoperative score ( P<0.05). Except for VAS score at rest at 6 hours, VAS score during movement at 48 hours, and BCS comfort score at 48 hours ( P>0.05), the trial group showed significantly better outcomes than the control group in terms of VAS score at rest, VAS score during movement, Ramsay sedation scores, and BCS comfort scores at all other time points ( P<0.05). No significant difference was found in Bromage motor block scores between the groups ( P>0.05). Tramadol was used in 3 patients in the trial group and 7 patients in the control group within 48 hours after operation, the dosage was (133.30±14.19) mg and (172.40±22.29) mg, showing significant difference ( P<0.05). Nausea and vomiting occurred in 4 patients (9.5%) in the trial group and 3 patients (7.1%) in the control group, with no significant difference in incidence between groups ( P>0.05). CONCLUSION Ultrasound-guided HFICB provides effective analgesia for tourniquet-related pain following TKA, facilitates early postoperative functional recovery of the knee joint, and may serve as a valuable clinical option for postoperative pain management in TKA patients.
Humans ; Arthroplasty, Replacement, Knee/adverse effects* ; Nerve Block/methods* ; Male ; Female ; Pain, Postoperative/etiology* ; Tourniquets/adverse effects* ; Prospective Studies ; Middle Aged ; Ropivacaine/administration & dosage* ; Aged ; Ultrasonography, Interventional ; Anesthetics, Local/administration & dosage* ; Pain Measurement ; Fascia ; Osteoarthritis, Knee/surgery* ; Treatment Outcome ; Arthritis, Rheumatoid/surgery*

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

Objective:To explore the clinical efficacy value of the medical failure mode,and failure mode and effect analysis(FMEA)mode in equipment management of the department of optimizing blood purification equipment.Methods:Based on the management concept of medical FMEA,a FMEA management mode for equipment was constructed to manage the hemodialysis equipment in the blood purification department of the First Affiliated Hospital of Hebei North University.A total of 83 used hemodialysis equipment in the blood purification department of our hospital from October 2022 to September 2024 were selected,and they were managed respectively by using conventional management mode and FMEA management mode.The differences of operation quality of equipment,comprehensive efficiency of equipment and the management capabilities of managers who used the equipment between two kinds of management modes were compared.Results:The average values of failure rate of equipment,self-repair rate,maintenance rate,and standardized operation rate of using FMEA management mode were respectively(4.72±0.11)%,(90.62±3.44)%,(95.42±2.43)%and(96.22±1.48)%.The failure rate of FMEA management mode was lower than that of conventional management mode,while the self-repair rate,maintenance rate,and standardized operation rate were higher than those of conventional management mode,and the differences were statistically significant(t=108.568,13.658,9.318,10.354,P＜0.05).The average values of availability ratio of equipment,ratio of performance index,and ratio of quality index of adopting FMEA management mode were respectively(91.04±2.65)%,(96.94±2.31)%and(97.66±1.19)%,which were higher than those of conventional management mode,and the differences were statistically significant(t=19.330,13.085,14.889,P＜0.05).The scores of job responsibilities,basic knowledge for equipment,guarantee capabilities for operation and management performance of manager were respectively(94.12±2.76),(92.03±2.50),(91.35±2.62)and(93.65±3.28)in using the FMEA management mode,which were all higher than those of the conventional management mode,and the differences were statistically significant(t=7.630,11.027,17.311,11.645,P＜0.05).Conclusion:The application of medical FMEA management mode in the management for hemodialysis equipment in the blood purification department can improve the quality of equipment operation,and reduce the failure frequency of equipment,and enhance the overall utilization efficiency of equipment,and improve the quality of clinical services in the department.

Objective To evaluate the association of different obesity phenotypes and their components with the risk of cognitive impairment in older Chinese adults,and to assess the association between obesity and cognitive impairment in different cognition-related genetic backgrounds.Methods A cross-sectional study based on the West China Health and Aging Cohort was conducted.Logistic regression was applied to estimate the association of obesity phenotypes and components with cognitive impairment in older Chinese adults stratified by APOE gene and polygenic risk scores.Results A total of 7 316 participants were enrolled,of whom 1 820 had cognitive impairment.Weight gains were associated with a reduced risk of cognitive impairment(odds ratio[OR]=0.96,95%CI,0.95-0.97).Being overweight with a normal waist-to-hip ratio was a protective factor for cognition(OR=0.74,95%CI,0.61-0.90),whereas the coexistence of elevated waist-to-hip ratio and overweight did not increase the risk of cognitive impairment.Sarcopenia was associated with an elevated risk of cognitive impairment.This association was found in both overweight(OR=2.03,95%CI,1.71-2.41)and non-overweight older adults(OR=1.86,95%CI,1.58-2.20),and was significant across all polygenic risk score strata.Conclusion Increasing body mass may serve as a key protective factor against cognitive decline in older adults.Having sarcopenia and obesity is associated with an elevated risk of cognitive impairment,independent of genetic susceptibility.

Background and Aims:Implant-based breast reconstruction is one of the most common reconstructive approaches after mastectomy for breast cancer.However,the incidence of postoperative complications remains significant,and the associated risk factors have not been fully elucidated.This study aimed to analyze the incidence of surgical complications following implant-based breast reconstruction in patients undergoing mastectomy at our center and to identify potential risk factors.Methods:A retrospective analysis was conducted on patients who underwent mastectomy and implant-based breast reconstruction at Sun Yat-sen Memorial Hospital between May 2004 and August 2022.Patients were grouped according to the presence or absence of postoperative surgical complications,and multivariate Logistic regression was used to identify independent risk factors.Results:A total of 545 patients with 602 reconstructed breasts were included.Surgical complications occurred in 13.6%(82/602)of the cases,including infection,wound dehiscence/poor healing,flap or nipple-areola necrosis,and implant leakage/rupture.Multivariate analysis revealed that nipple-areola complex resection(OR=1.934,95%CI=1.056-3.542,P=0.033),postoperative radiotherapy(OR=2.483,95%CI=1.527-4.036,P<0.001),implant volume≥300 mL(OR=1.663,95%CI=1.025-2.696,P=0.039),and surgeon experience with fewer than 10 cases(OR=1.804,95%CI=1.092-2.979,P=0.021)were all independent risk factors for complications.Conclusion:NAC resection,radiotherapy,large implant volume,and limited surgical experience are important independent risk factors for postoperative surgical complications following implant-based breast reconstruction.Thorough preoperative evaluation and appropriate surgical planning are essential to minimize risks.

Objective To investigate the status of oral frailty(OF)in patients who underwent chemotherapy for lung cancer,identify key factors influencing OF,and develop a risk prediction model.Methods Using convenience sampling,431 lung cancer inpatient were recruited from three Tier-IIIA hospitals in Jiangsu Province between September and November 2024 as the training cohort.The patients were divided into OF and non-OF groups.Relevant data were compared between the two groups.Multifactorial logistic regression analysis was performed to determine factors that associated with OF,and a risk prediction model was created accordingly.Receiver operating characteristic(ROC)curve analysis was used to predict model performance.In December 2024,additional 185 patients from one other Tier-IIIA hospitals were recruited to validate the developed model.Results The prevalence of OF among lung-cancer patients undergoing chemotherapy was 58.93%.Following listed items were identified as the risk factors of OF(all P<0.05):older in age(OR=3.420),poor education(OR=0.030),brain metastasis(OR=7.880),high nutritional risk screening 2002 score(OR=1.550),elevated C-reactive protein(OR=1.100),and elevated lactate dehydrogenase(OR=1.010).ROC area under the curve(AUC)of the model was 0.860(95%CI:0.830-0.900)in modelling cohort and 0.840(95%CI:0.780-0.900)in validation cohort.Hosmer-Lemeshow goodness-of-fit test yielded χ 2=4.870,P=0.770 for the training set and χ 2=2.770,P=0.950 for the validation set.Conclusion The risk prediction model for OF developed in this study demonstrates a good predictive performance and can facilitate early identification of high-risk patients,thereby providing a scientific basis for clinical interventions.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Background and Aims:Implant-based breast reconstruction is one of the most common reconstructive approaches after mastectomy for breast cancer.However,the incidence of postoperative complications remains significant,and the associated risk factors have not been fully elucidated.This study aimed to analyze the incidence of surgical complications following implant-based breast reconstruction in patients undergoing mastectomy at our center and to identify potential risk factors.Methods:A retrospective analysis was conducted on patients who underwent mastectomy and implant-based breast reconstruction at Sun Yat-sen Memorial Hospital between May 2004 and August 2022.Patients were grouped according to the presence or absence of postoperative surgical complications,and multivariate Logistic regression was used to identify independent risk factors.Results:A total of 545 patients with 602 reconstructed breasts were included.Surgical complications occurred in 13.6%(82/602)of the cases,including infection,wound dehiscence/poor healing,flap or nipple-areola necrosis,and implant leakage/rupture.Multivariate analysis revealed that nipple-areola complex resection(OR=1.934,95%CI=1.056-3.542,P=0.033),postoperative radiotherapy(OR=2.483,95%CI=1.527-4.036,P<0.001),implant volume≥300 mL(OR=1.663,95%CI=1.025-2.696,P=0.039),and surgeon experience with fewer than 10 cases(OR=1.804,95%CI=1.092-2.979,P=0.021)were all independent risk factors for complications.Conclusion:NAC resection,radiotherapy,large implant volume,and limited surgical experience are important independent risk factors for postoperative surgical complications following implant-based breast reconstruction.Thorough preoperative evaluation and appropriate surgical planning are essential to minimize risks.

Objective To investigate the status of oral frailty(OF)in patients who underwent chemotherapy for lung cancer,identify key factors influencing OF,and develop a risk prediction model.Methods Using convenience sampling,431 lung cancer inpatient were recruited from three Tier-IIIA hospitals in Jiangsu Province between September and November 2024 as the training cohort.The patients were divided into OF and non-OF groups.Relevant data were compared between the two groups.Multifactorial logistic regression analysis was performed to determine factors that associated with OF,and a risk prediction model was created accordingly.Receiver operating characteristic(ROC)curve analysis was used to predict model performance.In December 2024,additional 185 patients from one other Tier-IIIA hospitals were recruited to validate the developed model.Results The prevalence of OF among lung-cancer patients undergoing chemotherapy was 58.93%.Following listed items were identified as the risk factors of OF(all P<0.05):older in age(OR=3.420),poor education(OR=0.030),brain metastasis(OR=7.880),high nutritional risk screening 2002 score(OR=1.550),elevated C-reactive protein(OR=1.100),and elevated lactate dehydrogenase(OR=1.010).ROC area under the curve(AUC)of the model was 0.860(95%CI:0.830-0.900)in modelling cohort and 0.840(95%CI:0.780-0.900)in validation cohort.Hosmer-Lemeshow goodness-of-fit test yielded χ 2=4.870,P=0.770 for the training set and χ 2=2.770,P=0.950 for the validation set.Conclusion The risk prediction model for OF developed in this study demonstrates a good predictive performance and can facilitate early identification of high-risk patients,thereby providing a scientific basis for clinical interventions.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.