Diabetic neuropathy(DN)is a prevalent chronic complication of diabetes,characterized by a com-plex pathogenesis involving various cell types and molecular pathways.Research indicates that microglia,serving as the innate immune cells of the central nervous system,are pivotal in the development of DN.In recent years,with the in-depth understanding of the pathogenesis of DN,targeting microglia polarization has become a new research hotspot.This article provides an overview of current research on the regulatory mechanisms of microglia polarization,the impact of mi-croglia polarization on DN,and treatment strategies that target microglia polarization to improve DN.The objective is to elucidate the pivotal role of microglia in the pathogenesis of DN,and assess the efficacy and constraints of existing and emerging treatment methods targeting microglia,in order to offer a fresh perspective for future research and clinical treat-ment of DN.

OBJECTIVE: To explore the clinical features of patients with necrotizing soft tissue infection (NSTI) and the related factors for sepsis, so as to provide a basis for early intervention and improvement of patients' prognosis. METHODS: A retrospective case series study was conducted to analyze the clinical data of NSTI patients admitted to the department of burns and wound repair surgery of Guangdong Provincial People's Hospital from October 2021 to December 2024. Demographic information, underlying diseases, infection characteristics, laboratory test results and etiological findings at admission, treatment status, occurrence of complications (including sepsis) and prognosis were collected. Univariate and multivariate Logistic regression analyses were used to identify the associated factors for sepsis in NSTI patients. Receiver operator characteristic curves (ROC curves) were plotted to evaluate the predictive value of individual and combined factors for sepsis. RESULTS: A total of 159 NSTI patients were enrolled, mainly middle-aged and elderly males. Most patients had comorbidities, including diabetes mellitus (110 cases, 69.2%) and hypertension (67 cases, 42.1%). The main infection site was the lower extremities (104 cases, 65.4%). Common symptoms included redness (96 cases, 60.4%), swelling (129 cases, 81.1%), local heat (60 cases, 37.7%), pain (100 cases, 62.9%), and skin ulceration or necrosis (9 cases, 5.7%). Imaging findings included soft tissue swelling (66 cases, 57.9%), gas accumulation (41 cases, 36.0%), and abnormal signal/density shadows (50 cases, 43.9%). Staphylococcus aureus was the main pathogenic bacterium [12.0% (31/259)], and drug-resistant Escherichia coli had the highest detection rate among drug-resistant bacteria [35.1% (13/37)]. Regarding debridement and repair, most patients (80 cases, 50.3%) underwent debridement ≥ 72 hours after admission, while only 10.1% (16 cases) received debridement within 6 hours. Most patients underwent multiple debridements, with 2 times of debridements being the most common (68 cases, 42.8%), and the maximum times of debridements reached 6. The largest number of patients received secondary suture (44 cases, 27.7%). In terms of complications, sepsis was the most common (66 cases, 41.51%), followed by acute kidney injury, respiratory failure requiring mechanical ventilation, and multiple organ dysfunction syndrome (MODS), while disseminated intravascular coagulation (DIC) was the least common. During the follow-up period, 9 patients (5.66%) were readmitted within 90 days, and 11 patients died, with a mortality rate of 6.92%. Univariate analysis showed that diabetes, coronary heart disease, gout, body temperature, heart rate, C-reactive protein, platelet count, total bilirubin, albumin, creatinine, out-of-hospital treatment, and out-of-hospital use of antimicrobial agents were significantly associated with sepsis in NSTI patients (all P < 0.05). Multivariate Logistic regression analysis showed that coronary heart disease [odds ratio (OR) = 30.085, 95% confidence interval (95%CI) was 2.105-956.935], C-reactive protein (OR = 1.026, 95%CI was 1.009-1.054), and total bilirubin (OR = 1.436, 95%CI was 1.188-1.948) were independent associated factors for sepsis in NSTI patients (all P < 0.05). ROC curve analysis revealed that the combination of the three predictors yielded the highest AUC for predicting sepsis in NSTI patients compared to any individual predictor [area under the curve (AUC) = 0.799 (95%CI was 0.721-0.878)]. CONCLUSIONS The clinical features of NSTI patients show certain regularity. Coronary heart disease, C-reactive protein, and total bilirubin are independent associated factors for sepsis in NSTI patients.
Humans ; Retrospective Studies ; Male ; Sepsis ; Soft Tissue Infections/microbiology* ; Female ; Middle Aged ; Aged ; Adult ; Prognosis ; Risk Factors ; Necrosis ; Logistic Models ; Fasciitis, Necrotizing

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To observe the clinical efficacy of Huangqi Danggui Compound Decoction(mainly composed of Astragali Radix,Angelicae Sinensis Radix,etc.)combined with Shi's Acupuncture Therapy in the treatment of postpartum low back pain due of qi and blood depletion type.Methods A total of 138 patients diagnosed with postpartum low back pain from March 2021 to February 2024 in the outpatient and inpatient departments of the Second Affiliated Hospital of Hebei University of Chinese Medicine were selected as the study subjects.The patients were randomly divided into an observation group and a control group using a random number table,with 69 cases in each group.The control group was treated with Ibuprofen Sustained-Release Capsules combined with Shi's Acupuncture Therapy,while the observation group was additionally treated with Astragalus and Angelica Compound Decoction on the basis of the control group's treatment.Both groups were treated for 4 weeks.After treatment,the clinical efficacy of the two groups was evaluated.The changes in Oswestry Disability Index(ODI)and Visual Analogue Scale(VAS)scores before and after treatment,as well as the SF-36 Quality of Life Scale scores,were observed.The changes in follicle-stimulating hormone(FSH),luteinizing hormone(LH),and estradiol(E2)levels were compared before and after treatment,and the safety and incidence of adverse reactions in the two groups were evaluated.Results(1)The total effective rate in the observation group was 92.75%(64/69),while it was 79.71%(55/69)in the control group.The efficacy of the observation group was superior to that of the control group,with a statistically significant difference(P＜0.05).(2)After treatment,the ODI and VAS scores of both groups were significantly improved(P＜0.05),and the observation group showed significantly better improvement in ODI and VAS scores compared to the control group,with a statistically significant difference(P＜0.05).(3)After treatment,the SF-36 Quality of Life Scale scores of both groups improved significantly(P＜0.05),and the observation group showed significantly better improvement in SF-36 scores compared to the control group,with a statistically significant difference(P＜0.05).(4)After treatment,the FSH,LH,and E2 levels in the observation group were significantly improved(P＜0.05),and the observation group showed significantly better improvement in FSH,LH,and E2 levels compared to the control group,with a statistically significant difference(P＜0.05).In the control group,the FSH,LH,and E2 levels improved slightly,but there was no statistically significant difference compared to before treatment(P＞0.05).(5)There was no statistically significant difference in the incidence of adverse reactions between the observation group and the control group(P＞0.05).Conclusion Huangqi Danggui Compound Decoction combined with Shi's Acupuncture Therapy in the treatment of postpartum low back pain due to qi and blood depletion can significantly alleviate pain symptoms,improve lumbar function,regulate sex hormone levels,and enhance the quality of life of patients,with significant efficacy and good safety.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Diabetic neuropathy(DN)is a prevalent chronic complication of diabetes,characterized by a com-plex pathogenesis involving various cell types and molecular pathways.Research indicates that microglia,serving as the innate immune cells of the central nervous system,are pivotal in the development of DN.In recent years,with the in-depth understanding of the pathogenesis of DN,targeting microglia polarization has become a new research hotspot.This article provides an overview of current research on the regulatory mechanisms of microglia polarization,the impact of mi-croglia polarization on DN,and treatment strategies that target microglia polarization to improve DN.The objective is to elucidate the pivotal role of microglia in the pathogenesis of DN,and assess the efficacy and constraints of existing and emerging treatment methods targeting microglia,in order to offer a fresh perspective for future research and clinical treat-ment of DN.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To explore the effects of hot compress by aconite tincture combined with medium-frequency electrotherapy on lumbar spine function, lumbar muscle endurance, and inflammatory factors in patients with chronic non-specific low back pain. Methods A total of 120 patients with chronic non-specific low back pain were randomly divided into two groups, with 60 patients in each group. The control group was treated with medium-frequency electrotherapy, while the research group was treated with aconite tincture hot compress based on the treatment of the control group. The symptom improvement, lumbar spine function, lumbar muscle endurance, and serum inflammatory factor levels after treatment were compared between the two groups. Results The total effective rate of the research group was 96.67%, which was higher than 83.33% of the control group (P < 0.05). After treatment, the Visual Analogue Scale (VAS) score of the research group was lower than that of the control group, and the Japanese Orthopaedic Association (JOA) score was higher than that of the control group (P < 0.05). The lumbar muscle endurance test time was prolonged in both groups after treatment, and was longer in the research group than that of the control group (P < 0.05). After treatment, the serum levels of tumor necrosis factor-α (TNF-α) and interleukin-8 (IL-8) in the research group were lower than those in the control group(P < 0.05). The total incidence of adverse reactions in the control group was 30.00% (18/60), and 23.33% (14/60) in the research group, but no statistically significant difference was found (χ²=0.682, P=0.409). Conclusion The combination of hot compress by aconite tincture and medium-frequency electrotherapy has significant therapeutic effects in patients with chronic non-specific low back pain, which can significantly reduce the pain symptoms ofthe lumbar spine, improve lumbar spine function, and reduce the level of inflammatory factors.

OBJECTIVE Treatise on Cold Damage is one of the"Four Classics of Traditional Chinese Medicine,"containing a wealth of medical practice experience and medication rules.However,there has been insufficient data mining in the ancient literature of Treatise on Cold Damage,particularly due to the complex contextual semantics,making it challenging to fully grasp the interrelation-ships.This study aims to conduct entity recognition in Treatise on Cold Damage to facilitate comprehensive knowledge extraction.METHODS A Bert-BiLSTM-RPRSA-CRF model was constructed based on the specialized terminology and concise sentence struc-ture of the ancient literature.By incorporating a relative position representation self-attention(RPRSA)layer,this named entity recog-nition model aimed to identify entities within the text while learning information at different levels,thereby enhancing accuracy.RE-SULTS Experimental verification demonstrated that our named entity recognition model achieved F1-Score,precision,and recall rates of 88.24%,88.48%,and 88.00%respectively on the Treatise on Cold Damage dataset,outperforming other commonly used models.CONCLUSION Our method outperforms other models in identifying entities within Treatise on Cold Damage,providing a foundation for information extraction from traditional Chinese medicine ancient texts such as Treatise on Cold Damage while offering ef-fective means for intelligent assisted diagnosis and treatment in traditional Chinese medicine.