OBJECTIVE Healthcare-associated infection(HAI)surveillance is a crucial tool for healthcare manage-ment and public health prevention,the World Health Organization(WHO)released simplified technical guidelines of HAI surveillance to enhance the HAI surveillance in areas with limited medical resources.This study explores the applicability and implementation pathways of the WHO's simplified standards for HAI surveillance in China.METHODS This study used text analysis and qualitative interviews to compare the differences of HAI sur-veillance criteria between China and WHO.Interviews were conducted with professionals of infection prevention and control(IPC)to explore the opportunities and challenges of implementing WHO simplified standards in China.RESULTS Twenty-two IPC professionals with long-term experiences participated in the interviews.Main themes derived from the interview were:WHO simplified standards could enhance the sensitivity of HAI surveil-lance,this approach provided insights for a risk early warning surveillance and improved surveillance in primary healthcare institutions.It also increased the international comparability of Chinese HAI surveillance results.How-ever,the implementation of the WHO simplified standards required further pilot validation,higher levels of infor-matic surveillance and clinical diagnostic capabilities.CONCLUSION This study explores the feasibility and accept-ability of the WHO's simplified HAI surveillance in China,provides references for the transformation of China's HAI surveillance models and systems.

Depression is a prevalent mental and emotional disor-der that often results in significant emotional disturbances,cog-nitive dysfunction,and memory impairments.It is characterized by a high incidence rate,a substantial disability burden,and limited therapeutic efficacy.Currently,the long-term use of medications for the treatment of depression can result in a range of adverse reactions,highlighting the urgent need to explore no-vel approaches that can effectively alleviate depressive symptoms while minimizing side effects.Curcumin,a natural polyphenolic compound derived from the rhizome of turmeric,demonstrates considerable potential in the prevention and treatment of depres-sion,owing to its diverse array of biological activities.In recent years,numerous studies have investigated the use of curcumin for the treatment of depression.This article aims to provide a comprehensive review of the mechanisms of action underlying curcumin's efficacy in treating depression.Specifically,it focu-ses on its ability to improve neurotransmitter imbalances,restore neural plasticity,alleviate neural damage,mitigate dysfunction of the hypothalamic-pituitary-adrenal(HPA)axis,regulate in-flammatory factors and neuroinflammatory signaling pathways,and inhibit oxidative stress.This review is intended to offer in-sights and methodological references for basic research on curcu-min,as well as for the development of novel therapeutic agents for the treatment of depression.

Objective:To summarize the best evidence for nutrition management of sarcopenia in patients undergoing maintenance hemodialysis (MHD), to guide the development of nutrition management programs.Methods:Using the 6S evidence model, literature on nutrition management of sarcopenia in MHD patients was electronically retrieved from databases and websites including UpToDate, Guidelines International Network, Joanna Briggs Institute Evidence-Based Health Care Center Database, European Society for Clinical Nutrition and Metabolism, UK Kidney Association, PubMed, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, and Wanfang Data. The search period was from database establishment to July 30, 2024. After screening and quality assessment of the literature, evidence was extracted and summarized.Results:A total of 19 articles were included, comprising one clinical decision, six guidelines, five systematic reviews, five expert consensus, and two randomized controlled trials. Twenty-six pieces of evidence were summarized from six aspects of nutrition team establishment and counseling, nutritional screening and assessment, nutritional support, nutrient intake, nutritional monitoring, and health education.Conclusions:The evidence summary on nutrition management of sarcopenia in MHD patients provides a basis for implementing nutritional interventions. Evidence transformation and application should be conducted in accordance with patient preferences and the actual clinical context.

Objective:To investigate the impact of postoperative complications on adverse outcomes following curative-intent resection for gallbladder cancer (GBC).Methods:The multi-center real-world study was conducted. The clinicopathological data of 629 patients with GBC, who were admitted to 14 medical centers including The First Affiliated Hospital of Army Medical University from the national multicenter database of Biliary Surgery Group of Elite Group of Chinese Journal of Digestive Surgery, from April 2020 to April 2024 were collected. There were 225 males and 404 females, aged (64±10)years. Patients underwent open curative-intent resection for GBC. Observation indicators: (1)surgery, postoperative complica-tions and adverse outcomes; (2) analysis of risk factors affecting postoperative adverse outcomes in patients and population attributable fraction (PAF). Missing data in predictor variables were addressed using multiple imputation with chained equations, while cases with missing outcome variables were addressed using the "multiple imputation then deletion (MID)" strategy. The severity of multicollinearity among independent variables was assessed using the variance inflation factor (VIF) test. Multivariable possion regression models with log link and robust error variance were construc-ted incorporating restricted cubic splines (3 knots) to address nonlinear relationships in continuous variables, calculating adjusted relative risk ( RR) with corresponding 95% confidence interval ( CI). Adjusted PAF was calculated for each imputed dataset using the AF package of R software, with subsequent pooling performed according to Rubin's rules. Results:(1) Surgery, postoperative complications and adverse outcomes. All 629 patients underwent curative-intent resection for GBC, of which 143 cases had postoperative complications, including 68 cases of intra-abdominal ascites, 39 cases of pulmonary infection, 21 cases of bile leakage, 12 cases of intra-abdominal hemorrhage, 11 cases of liver failure, 10 cases of pan-creatic fistula, 10 cases of wound infection, 10 cases of gastroparesis, 7 cases of cholangitis, 7 cases of sepsis. The same patient could have more than one kind of complication. Of 629 patients, there were 19 cases of postoperative 90-day death and 11 cases of missing data, 42 cases with post-operative 90-day reoperation and 7 cases with missing data, 44 cases with postoperative 90-day readmission and 3 cases with missing data, 155 cases with prolonged postoperative hospital stay and 3 cases with missing data. (2) Analysis of risk factors affecting the postoperative adverse outcomes in patients and PAF. Results of multivariate analysis showed that pulmonary infection and liver failure were independent risk factors for postoperative 90-day mortality ( RR=3.74, 12.15, 95% CI as 1.18-11.83, 1.98-74.48, P<0.05). Pulmonary infection demons-trated the highest PAF as 4.61% (95% CI as 3.94%-5.28%, P<0.05). Intra-abdominal ascites, pulmonary infection, bile leakage, and intra-abdominal hemorrhage were independent risk factors for post-operative 90-day reoperation ( RR=4.80, 3.62, 3.46, 4.99, 95% CI as 2.49-9.26, 1.42-9.21, 1.34-8.92, 1.55-16.06, P<0.05). Intra-abdominal ascites demonstrated the highest PAF as 8.65% (95% CI as 8.22%-9.08%, P<0.05). Intra-abdominal ascites, bile leakage, and liver failure were independent risk factors for postoperative 90-day readmission ( RR=6.20, 3.33, 14.33, 95% CI as 3.21-11.95, 1.33-8.35, 3.72-55.28, P<0.05). Intra-abdominal ascites demonstrated the highest PAF as 9.11% (95% CI as 8.85%-9.37%, P<0.05). Intra-abdominal ascites, pulmonary infection, bile leakage, liver failure, and wound infection were independent risk factors for prolonged postoperative hospital stay ( RR=2.29, 2.21, 2.26, 2.14, 3.35, 95% CI as 1.63-3.23, 1.41-3.46, 1.32-3.86, 1.11-4.13, 1.70-6.60, P<0.05). Intra-abdominal ascites demonstrated the highest PAF as 6.03% (95% CI as 5.71%-6.35%, P<0.05). Conclusion:Pulmonary infection is the most significant risk factor for postoperative 90-day mortality after curative-intent resection for GBC, while intra-abdominal ascites is the most significant risk factor for postoperative 90-day reoperation, postoperative 90-day readmission, and prolonged postoperative hospital stay.

Objective To investigate the value of MRI radiomics for the preoperative noninvasive prediction of isocitrate dehydrogenase(IDH)mutation status in glioma.Methods Totally,306 glioma patients were retrospectively selected.All patients were randomly assigned into training group(n=214)and validation group(n=92)at a ratio of 7∶3.Region of interest(ROI)was manually delineated by two radiologists independently on the fluid attenuated inversion recovery(FLAIR)and contrast enhanced(CE)MRI images for obtaining whole volume of interest(VOI)of lesion.A total of 851 radiomics features were extracted from the VOI,respectively.The least absolute shrinkage and selection operator(LASSO)method was used for features dimension reduction combing 10-fold cross validation.Three Radiomics score(Radscore)were calculated by linear combination of retained features and their corresponding coefficients.The optimal Radscore and clinical characteristics were incorporated to perform logistic regression analysis for establishing the IDH mutation status noninvasive prediction model.A nomogram was plotted for realizing the visualization of model.The receiver operating characteristic(ROC)curve was plotted to evaluate the prediction performance of model.The calibration and clinical utility of the model were evaluated by calibration curve and decision curve.Results The area under the curve(AUC)of Radscore-combined based on combination of two sequences was 0.856 in the training group,which was superior to the Radscore-CE(AUC=0.821),Radscore-FLAIR(AUC=0.766)from single sequence,with consistent result in the validation group.The addition of clinical characteristics to the model improved predictive value with AUC,sensitivity and specificity of 0.898,79.59％,90.52％in the training group.Conclusion The radiomics model based on FLAIR and CE MRI contributes to preoperative noninvasive prediction of IDH mutation status in glioma.The combination of multi-sequence and the addition of clinical characteristics can improve the prediction performance.

OBJECTIVE Healthcare-associated infection(HAI)surveillance is a crucial tool for healthcare manage-ment and public health prevention,the World Health Organization(WHO)released simplified technical guidelines of HAI surveillance to enhance the HAI surveillance in areas with limited medical resources.This study explores the applicability and implementation pathways of the WHO's simplified standards for HAI surveillance in China.METHODS This study used text analysis and qualitative interviews to compare the differences of HAI sur-veillance criteria between China and WHO.Interviews were conducted with professionals of infection prevention and control(IPC)to explore the opportunities and challenges of implementing WHO simplified standards in China.RESULTS Twenty-two IPC professionals with long-term experiences participated in the interviews.Main themes derived from the interview were:WHO simplified standards could enhance the sensitivity of HAI surveil-lance,this approach provided insights for a risk early warning surveillance and improved surveillance in primary healthcare institutions.It also increased the international comparability of Chinese HAI surveillance results.How-ever,the implementation of the WHO simplified standards required further pilot validation,higher levels of infor-matic surveillance and clinical diagnostic capabilities.CONCLUSION This study explores the feasibility and accept-ability of the WHO's simplified HAI surveillance in China,provides references for the transformation of China's HAI surveillance models and systems.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Through evidence mapping, this paper systematically summarized the research evidence on the use of traditional Chinese medicine(TCM) in treating renal anemia, displaying the distribution of evidence in this field. A systematic search was conducted across databases, including CNKI, Wanfang, VIP, SinoMed, Springner, PubMed, Engineering Village, and Web of Science, targeting studies published up to June 30, 2024. The research evidence was summarized and displayed through a combination of graphs, tables, and text. A total of 264 interventional studies, 37 observational studies, and 7 systematic reviews were included. The annual publication volumes related to TCM treatment in renal anemia showed an overall upward trend, with most studies involving sample sizes between 60 and 120 participants(224 articles, 74.42%). Intervention measures were categorized into 21 types, with oral TCM decoctions being the most common medicine(171 times, 56.81%). The use of self-made prescriptions was the most common TCM intervention method. The intervention duration was mainly between 8 weeks and 3 months(239 articles, 79.40%). The most frequently reported TCM syndrome was spleen and kidney Qi deficiency. The top 2 outcome indicators were the anemia indicators and renal injury/renal function markers. However, several issues were identified in these studies, such as insufficient attention to the sources, social/geographical information, and temporal continuity of research subjects in observational research. Randomized controlled trials mostly had a high risk of bias, mainly due to issues such as randomization bias, blinding bias, and failure to register research protocols. The methodology quality of systematic reviews was generally low, mainly due to inadequate inclusion of literature, failure to specify funding sources, and lack of pre-registrations. While the report quality of systematic review was acceptable, there were significant gaps in the reporting of protocols, registration, and funds. The results show that these issues affect the quality of research and the reliability of findings on TCM in treating renal anemia, underscoring the need to address them to conduct higher-quality research and provide more reliable medical evidence for TCM in treating renal anemia.
Humans ; Anemia/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Kidney Diseases/drug therapy*

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.