Objective: To explore the relationship between non suicidal self injury (NSSI) behavior and serum lipid levels as well as thyroid function among college students with depression. Methods: A total of 169 college students with depression in the psychiatry departments of tertiary hospitals (grade 3A and 3B) in Ningbo from December 2023 to April 2025 were selected. The Adolescent Self injury Scale (ASIS) was used to assess the presence of NSSI, and participants were accordingly divided into a NSSI group ( n =51) and a non NSSI group ( n =118). General demographic data (including gender, age, and family situation) were collected from both groups. Blood tests were performed to measure lipid profiles [triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C)] and thyroid hormones [triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH)]. Multivariate Logistic regression was employed to analyze risk factors for NSSI, and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of serum lipid and thyroid hormone levels for NSSI occurrence in college students with depression. Results: The levels of TC, LDL-C, and TSH in the NSSI group were (4.02±0.73) mmol/L, (2.32±0.36) mmol/L, and (6.57±1.95) mU/L , which were significantly higher than those in the non NSSI group [(3.41±0.56) mmol/L, (2.00±0.27) mmol/L, and ( 4.48± 1.09) mU/L, respectively] ( t =5.32, 5.60, 7.20, all P <0.05). Logistic regression analysis revealed that college students from single parent/reconstituted families, those who had experienced school bullying, and those with higher levels of TC, LDL-C, and TSH had a significantly increased risk of engaging in NSSI ( OR =5.22, 6.12, 5.90, 83.64, 3.64, all P <0.05). ROC curve analysis demonstrated that the combined detection of TC, LDL-C, and TSH had high diagnostic efficacy for predicting NSSI in college students with depression, with a sensitivity of 86.3% and a specificity of 94.9%. Conclusions NSSI behavior in college students with depression is associated with serum lipid levels and thyroid function. These biomarkers may serve as useful reference indicators for assessing the conditions of these patients.

[Objective] To investigate the factors associated with alanine aminotransferase (ALT) abnormalities in multi-ethnic blood donors across five Zang autonomous prefectures in the plateau regions of Qinghai Province, and to provide evidence for ensuring blood safety and formulating screening strategies. [Methods] A retrospective analysis was performed on the ALT abnormal test results of blood donors in the Zang autonomous prefectures of Qinghai from 2022 to 2024. The correlations between ALT levels and factors including gender, age, altitude, and infectious markers were investigated. [Results] The overall ALT unqualified rate among blood donors in this region was 9.01%. Significant differences in ALT levels were observed across genders and age groups (P<0.05). Variations in ALT abnormality rates were also noted among different plateau regions (P<0.05). Overall, ALT values exhibited an increasing trend with rising altitude. The average ALT unqualified rates were 11.19% in Zang donors, 7.96% in Han donors, and 4.79% in donors from other ethnic groups (P<0.05). No statistically significant association was observed between ALT abnormality and the presence of HBV/HCV infectious markers (P>0.05). [Conclusion] In the plateau areas of Qinghai, multi-ethnic blood donors have a relatively high ALT levels and ALT unqualified rates, showing distinct regional characteristics. ALT elevation in voluntary blood donors is related to non-pathological factors such as gender, age, and dietary habits, but not to infectious indicators.

AIM:To investigate the value of optical coherence tomography angiography(OCTA)indicators in the diagnosis of diabetic retinopathy(DR), and to provide patients with diabetic nephropathy(DN)with more sensitive OCTA screening indicators to detect concurrent DR at an early stage.METHODS: A total of 200 patients who treated in the ophthalmology department of the Seventh Affiliated Hospital, Sun Yat-sen University from 2022 to 2023 were included, including 95 first-diagnosed DR patients and 105 patients without DR, and all patients underwent OCTA examination and a collection of demographics and renal function parameters. After a quality check, automated measurements of the foveal avascular zone area, vessel density(VD), and perfusion density(PD)of both 3 mm×3 mm and 6 mm×6 mm windows were obtained.RESULTS: Using random forest and multivariate Logistic regression methods, we developed a diagnostic model for DR based on 12 variables(age, FBG, SBP, DBP, HbA1c, ALT, ALP, urea/Scr, DM duration, HUA, DN, and CMT). Adding specific OCTA parameters enhanced the efficacy of the existing diagnostic model for DR(outer vessel density in 6 mm×6 mm window, AUC=0.837 vs 0.819, P=0.03). In the study of DN patients, the parameters in the 6 mm×6 mm window improved the diagnostic efficacy of DR(inner VD; outer VD; full VD; outer PD; full PD).CONCLUSION:The outer VD in the 6 mm×6 mm window can enhance the efficacy of the traditional DR diagnostic model. Meanwhile, compared with the 3 mm×3 mm window, the microvascular parameters in the 6 mm× 6 mm window focusing on DN patients can be more sensitive to diagnosing the occurrence of DR.

Objective To analyze the characteristics of acupoint selection in treatment for func-tional constipation.Methods Clinical literature on acupuncture and electroacupuncture therapy for functional constipation from January 1,2013,to December 31,2023,was retrieved from CNKI.The acupuncture prescriptions were collected and organized,and data mining techniques were employed to analyze the patterns of acupoint selection.Results A total of 182 articles were included,yielding 123 acupuncture prescriptions involving 92 acupoints with usage frequency of 967 times.The top 10 acu-points in frequency were Tianshu(158 times),Shangjuxu(138 times),Dachangshu(61 times),Zu-sanli(60 times),Zhigou(57 times),Fujie(57 times),Guanyuan(35 times),Zhongwan(34 times),Qihai(34 times),and Quchi(28 times).The meridians of the selected acupoints for acu-puncture treatment of functional constipation were mainly involved in stomach,bladder,Ren,and spleen meridians.Association rule analysis revealed that the combination of Tianshu-Shangjuxu had the highest occurrence probability(75.82％),followed by Tianshu-Dachangshu(33.52％)and Tianshu-Zusanli(32.97％).Cluster analysis of acupoints showed that the main acupoints selected for acu-puncture treatment of functional constipation could be divided into 10 clusters,including primary acu-points,acupoints for various syndrome types,acupoints for regulating spirit,and acupoints for regula-ting sympathetic nerves.Conclusion Acupuncture treatment for functional constipation should follow the principles of holistic treatment and syndrome differentiation,combined with the methods of selecting acupoints based on their upper-lower,proximal-distal,and anterior-posterior relationships.The acu-point selection patterns identified in this study can provide important references for clinical treatment of functional constipation,offer guidance for practitioners in acupoint selection,facilitate precise treatment,and promote early patient recovery.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

The escalating phenomenon of global population aging is posing multi-dimensional challenges to society, the economy and medical healthcare system.Among the significant health threats to the elderly population are cardiovascular diseases(CVD)and cognitive frailty(CF), both of which profoundly affect the quality of life and increase the risks of adverse health outcomes, including disability, hospitalization, and death.The concurrent presence of CVD and CF in elderly patients is prevalent, as these conditions share many common risk factors and underlying pathophysiological mechanisms, such as atherosclerosis, microcirculation dysfunction, and inflammation, which interact to perpetuate a vicious cycle.Notably, CF exhibits a certain degree of reversibility; thus, the implementation of a diagnosis and treatment paradigm that incorporates "comprehensive geriatric assessment and geriatric interdisciplinary teams" should be established as a conventional management strategy for elderly patients affected by both CVD and CF.Cognitive digital therapeutics, along with personalized exercise prescriptions based on cardiopulmonary exercise tests, may represent more appropriate precision interventions for these patients.Consequently, there is a necessity for further in-depth research in this area moving forward.

OBJECTIVE: To observe the therapeutic effect of electroacupuncture (EA) in improving early enteral nutrition tolerance in patients with acute pancreatitis (AP) under the concept of accelerated rehabilitation, and to explore the related mechanism based on the changes in autonomic nerve characteristics. METHODS: A total of 42 patients with AP were randomized into an observation group (21 cases, 1 case dropped out) and a control group (21 cases, 1 case dropped out). The control group received standard basic treatment for AP. On the basis of the treatment in the control group, EA was applied in the observation group, bilateral Zusanli (ST36), Yixian point (Extra), Tianshu (ST25), Neiguan (PC6) and Zhongwan (CV12) were selected as the main points, and the supplementary points were selected according to syndrome differentiation. Ipsilateral Zusanli (ST36) and Yixian point (Extra) were connected to EA, using discontinuous wave, in frequency of 2 Hz, 30 min a time, once a day for 6 continuous days. The enteral nutrition tolerance score was observed before treatment and after 3 and 5 days of treatment; the visual analogue scale (VAS) score for abdominal pain was observed before treatment and after 3 days of treatment; the time of reaching the feeding goal and hospital stay was recorded; the levels of C-reactive protein (CRP) and amylase were measured before treatment and after 5 days of treatment; the heart rate variability (HRV) indexes (standard deviation of NN intervals [SDNN], average standard deviation of NN intervals [SDANN], root mean square of successive NN interval differences [rMSSD], low frequency [LF] and high frequency [HF], ratio of low frequency to high frequency [LF/HF]) were monitored in the two groups. RESULTS: After 3 and 5 days of treatment, the enteral nutrition tolerance scores were decreased compared with those before treatment in both groups (P<0.01), the reductions in the observation group were larger than those in the control group (P<0.01). After 3 days of treatment, the VAS scores for abdominal pain were decreased compared with those before treatment in both groups (P<0.01), the reduction in the observation group was larger than that in the control group (P<0.01). The time of reaching the feeding goal and hospital stay in the observation group was shorter than that in the control group (P<0.05). After 5 days of treatment, the CRP and amylase levels were decreased compared with those before treatment in both groups (P<0.01), the reduction of CRP level in the observation group was larger than that in the control group (P<0.01). In the observation group, SDNN, SDANN and LF/HF were lower than those in the control group (P<0.05, P<0.01), while rMSSD was higher than that in the control group (P<0.01). SDNN, SDANN and LF/HF were positively correlated with the enteral nutrition tolerance scores after 3 and 5 days of treatment (P<0.05), while rMSSD was negatively correlated with the enteral nutrition tolerance scores after 3 and 5 days of treatment (P<0.01). CONCLUSION Electroacupuncture can improve enteral nutrition tolerance in patients with AP by regulating autonomic nervous function, alleviating the inflammation, promoting accelerated recovery, and reducing the length of hospital stay.
Humans ; Electroacupuncture ; Male ; Female ; Enteral Nutrition ; Middle Aged ; Adult ; Pancreatitis/physiopathology* ; Aged ; Acupuncture Points ; Young Adult ; Acute Disease/therapy* ; Autonomic Pathways/physiopathology*

OBJECTIVES: To investigate the effects of different filtration fractions (FFs) during continuous venovenous hemodiafiltration (CVVHDF) post-dilution. METHODS: This study employed a single-blind, head-to-head randomized controlled design. Patients who underwent daytime continuous renal replacement therapy (CRRT) in the Department of Nephrology, the Second Affiliated Hospital of Nanchang University between April 2022 and June 2023 were prospectively enrolled. They were randomly assigned to either a low FF group (FF set at 20%-<25%) or a high FF group (FF set at 25%-30%). All patients received post-dilution CVVHDF with systemic heparin anticoagulation. The primary outcome was extracorporeal circuit coagulation, comprehensively assessed through dynamic monitoring of arterial pressure, venous pressure, and transmembrane pressure, combined with filter clotting grading at the end of the session. Secondary outcomes included changes in serum creatinine, urea, potassium, and pH levels before and after treatment to evaluate efficacy. RESULTS: A total of 40 patients were included in each the low FF group and the high FF group. The baseline characteristics showed no statistically significant differences between the two groups (all P>0.05). All patients completed the treatment successfully, with a treatment duration of 10-12 hours, and no filter required replacement during the sessions. The differences in arterial pressure, venous pressure, and transmembrane pressure at 2 h, 6 h, and the end of treatment compared to values at 1 h showed no statistically significant differences between the two groups (all P>0.05). Furthermore, no significant difference was found in filter clotting grades (including Grade Ⅰ and Grade Ⅱ clotting) at the end of treatment between the two groups (all P>0.05). The creatinine clearance efficiency was significantly higher in the high FF group compared to the low FF group (P<0.01). However, no statistically significant differences were observed between the groups regarding urea reduction, or the changes in serum potassium and pH levels before and after treatment (all P>0.05). CONCLUSIONS For patients with a relatively short treatment duration of 10-12 h undergoing post-dilution CVVHDF, employing a FF of 25%-30% does not pose a higher risk of extracorporeal circuit coagulation compared to a FF of 20%-25%, but shows a trend towards higher creatinine clearance.

Objective:To explore the key components and mechanism of Qufeng Ningfei Powder in treating asthma through qualitative analysis of its blood components, combined with network pharmacology and molecular docking techniques.Methods:The blood components of Qufeng Ningfei Powder were qualitatively analyzed using UPLC-QE-Orbitrap-MS technology. R language was employed to analyze chip data from the GEO database, obtaining a list of differentially expressed genes. SwissTargetPrediction was utilized to predict the targets of drug components. Asthma-related targets were searched through databases such as OMIM, GeneCards, and TTD. The intersection of drug and disease targets was identified using Venn online analysis tool, constructing a "drug-component-target-disease" network to screen potential core components. A protein-protein interaction network (PPI) of core targets was constructed using STRING platform and Cytoscape software. GO function enrichment and KEGG pathway analysis were conducted using DAVID database to validate potential mechanism. Molecular docking was performed to verify the interaction between key components and core targets.Results:A total of 64 components were identified, from which 53 active components were screened, corresponding to 609 targets. Further searching disease databases revealed 96 target genes related to asthma, with an intersection of 6 genes between drug and asthma differential genes. Core target gene IL6 and its corresponding core compound were determined through network topology analysis. Molecular docking confirmed the binding of the main active components of Qufeng Ningfei Powder with the core target protein IL6.Conclusion:The blood components of Qufeng Ningfei Powder may regulate IL-17 through IL6, counteract airway remodeling, oxidative stress, and airway hyperresponsiveness, and thus treat asthma.