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

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.

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.

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.

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.

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.

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 The aim of this study was to investigate the high risk factors of intraoperative stress injury in children with posterior spinal scoliosis and to construct a corresponding risk prediction model.Methods A total of 237 cases of orthopaedic surgery for posterior scoliosis performed in three first-class hospitals in Changsha City from October 2021 to February 2023.The patients were divided into injury group(31 cases)and uninjured group(206 cases)according to whether stress injury occurred.The risk factors were screened by single factor analysis and multiple Logistic regression analysis,and the corresponding risk prediction model was constructed.Results The results of single factor analysis showed that constitutional index,preoperative skin condition,preoperative hypoproteinemia,preoperative anemia,operative time,intraoperative body temperature and intraoperative bleeding were related to the occurrence of vascular crisis.BMI,preoperative skin condition,preoperative hypoproteinemia,operative time and intraoperative bleeding are high risk factors for the occurrence of intraoperative stress injury in children with posterior scoliosis.The area under ROC curve is 0.612,the sensitivity is 89.7％,and the specificity is 91.0％,indicating that this model has good risk prediction ability.Conclusion BMI,preoperative skin condition,preoperative hypoproteinemia,operative time and intraoperative bleeding are high risk factors for the occurrence of intraoperative stress injury in children with posterior scoliosis.

Objectives:To investigate the association of trajectories of atherogenic index of plasma(AIP)with the risk of atherosclerotic cardiovascular disease(ASCVD). Methods:A total of 51 831 employees and retirees who participated in Kailuan Group health examination for three consecutive times from 2006 to 2010 were included in this study.AIP was calculated using the log(triglycerides[TG]/high-density lipoprotein-cholesterol[HDL-C])formula.AIP trajectory models were fitted by the SAS Proc Traj program,and according to AIP trajectory,the subjects were divided into low stability group(n=11 114),low to moderate stability group(n=21 647),medium to high stability group(n=13 659),and high stability group(n=5 411).Kaplan-Meier method was used to calculate the cumulative incidence of ASCVD in different groups and compared by log-rank test.Cox proportional risk regression model was used to analyze the effects of different AIP trajectories on ASCVD risk. Results:Finally,51 831 patients were included in the analysis.During a mean follow-up of(10.19±2.22)years,5 142(9.92%)subjects developed ASCVD,4 013(7.74%)subjects died.Cox regression analysis after adjusting for confounding factors showed:compared with the low stability group,the risk of ASCVD increased by 13%(HR=1.13,95%CI:1.04-1.23,P=0.003)and 20%(HR=1.20,95%CI:1.10-1.31,P＜0.001)and 41%(HR=1.41,95%CI:1.27-1.57,P＜0.001)in the low to moderate stability group,moderate to high stability group and high stability group,respectively,and the risk increased gradually(Ptrend＜0.001).Stratified analysis showed that the risk of ASCVD in people aged＜65 years and low-density lipoprotein cholesterol(LDL-C)＜3.4 mmol/L with long-term high levels of AIP was higher than that in people aged≥65 years and LDL-C≥3.4 mmol/L(both Pinteraction＜0.01). Conclusions:In Kailuan Study cohort,those with long-term high levels of AIP had a higher risk of ASCVD,and the risk gradually increased.In addition,we found that the risk of ASCVD in people with long-term high levels of AIP was higher in＜65 years old than in≥65 years old,and the risk of ASCVD in people with LDL-C＜3.4 mmol/L was higher than that in people with LDL-C≥3.4 mmol/L.