Objective To explore the factors affecting the quality of psychological assistance hotline connections in Shaanxi Province, and to provide a basis for optimizing services. Methods A total of 149 calls with suicidal tendencies were included from January to March 2022, and data were collected by 31 trained assessors through standardized questionnaires (general information, suicide risk, emotional intensity, and wiring characteristics). Results The results showed that 56.38% of the callers were female, with age groups concentrated between ≤ 18 years old (29.53%) and 19-34 years old (43.62%). The call duration was mainly between 31 and 45 minutes (50.34%). Operators conducted a suicide risk assessment on the callers, with 38.9% having a comprehensive assessment, 38.9% having an incomplete assessment, and 22.1% having no assessment. The main mental disorders of the callers were depression (48.32%), anxiety (15.44%), and bipolar disorder (14.77%), with 25.50% having comorbidities of ≥ 2 disorders. Emotional scores were as follows: depression (4.11 ± 0.76), sadness (3.97 ± 1.03), and despair (3.78 ± 1.05). There were significant differences in depression, anger, despair, and sadness among the callers with different levels of danger (t=4.79, 3.35, 15.79, 4.24, all P<0.05). Women had higher levels of fear than men (t=3.10, P<0.01). The longer the call duration, the higher the level of despair (t=5.66, P<0.01). Multiple regression analysis showed that incomplete suicide risk assessment by operators (B=-2.36), general procedures for operators' connections (B=5.44), and technical factors (B=2.01) significantly affected the quality of psychological assistance hotlines (all P<0.05). Conclusion Callers with suicidal tendencies generally have serious mental and psychological problems and prominent negative emotions. Strengthening the suicide risk assessment ability of operators and standardizing processes and service attitudes are key to improving the quality of psychological assistance hotlines.

Objective To explore the relationship between intestinal flora imbalance and pulmonary function in patients with chronic obstructive pulmonary disease (COPD), and to analyze the related influencing factors. Methods A total of 310 patients with COPD who were admitted to Air Force Military Medical University Tangdu Hospital from June 2022 to December 2024 were retrospectively analyzed. Based on intestinal flora status, the enrolled patients were classified into imbalance group (n=83) and non-imbalance group (n=227). Logistic regression analysis was conducted to analyze the independent related factors of intestinal flora imbalance in COPD patients. Based on the above factors, a prediction model was constructed, and ROC curve analysis model was applied to analyze the predictive value of the model on intestinal flora imbalance. Results Logistic regression analysis revealed that age, IL-6, albumin, pulmonary function, long-term bed rest and long-term use of antibiotics were related to intestinal flora imbalance in COPD patients (all P<0.05). ROC results of the Logistic prediction model showed that the area under the curve, sensitivity, specificity and 95%CI were 0.961, 0.880, 0.996 and 0.932-0.989 respectively. Conclusion The intestinal flora imbalance in patients with COPD is closely related to lung function, age, inflammatory status, nutritional indicators, activity ability and antibiotic use.

ObjectiveTo analyze the epidemiological and etiological characteristics of a cluster of human metapneumovirus (HMPV) infection in a kindergarten in Gongshu District of Hangzhou City in May 2024, and to provide reference for the prevention and control of similar outbreaks. MethodsAn on-site investigation was conducted using an epidemiological case investigation form. Throat swab specimens collected from cases were screened for 13 respiratory pathogens using real-time fluorescent polymerase chain reaction (PCR). For HMPV nucleic acid positive specimens, the F gene of HMPV was used as the target gene for amplification and sequencing. The sequencing results were then compared with sequences in GenBank database to determine the virus subtypes and perform phylogenetic analyses. ResultsThe outbreak occurred in a kindergarter junior class with a total of 28 preschoolers and 3 teachers and childcare workers. A total of 11 cases (10 preschoolers and 1 teacher) were identified, including 8 male cases and 3 female cases. Clinical manifestations included fever in all 11 cases (100.00%), cough in 8 cases (72.72%), catarrhal symptoms in 4 cases (36.36%), and headache in 3 cases (27.27%). All symptoms were mild, and no severe cases were observed. A total of 11 throat swab samples were collected. Real-time fluorescent PCR test results showed that 3 samples were positive for HMPV nucleic acid, 2 samples were positive for both HMPV and Streptococcus pneumoniae, and 1 sample was positive for both HMPV and rhinovirus. The sequences of the 6 HMPV nucleic acid positive specimens were amplified and analyzed using specific primers, and all were determined to be HMPV subtype A2b. The F gene fragment sequence showed the highest similarity to PV081665.1/Brazil/2024 (99.65%), and also exhibited high similarity to PP683455.1/Indonesia/2021 (99.48%), PV016275.1/Beijing/2024 (99.31%), and PV052230.1/USA/2024 (99.13%). ConclusionThis cluster of acute respiratory tract infection was caused by HMPV subtype A2b, with co-infection of rhinovirus and Streptococcus pneumoniae. The F gene fragment sequences of the HMPV in this outbreak were highly homologous to those of the A2b strains isolated from Brazil, Beijing, Indonesia, and the the United States.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective To explore the underlying mechanisms by which time-restricted feeding(TRF)attenuates dextran sodium sulfate(DSS)-induced colitis in mice via modulation of regenerating islet-derived protein 3 gamma(Reg3γ)expression and gut microbiota.Methods Six-week-old C57BL/6 mice were stratified by body weight and randomized into ad libitum feeding(AL)and TRF groups(n=7).The AL mice were given unrestricted food access,whereas the TRF mice were allowed feeding only during 00:00 and 08:00 daily,for totally 4 weeks.Mouse colitis model was induced at the fourth week by adding 2.5%dextran sodium sulfate(DSS)in drinking water for 6 d.Disease severity and the effects of TRF were assessed with disease activity index(DAI)scoring,colon length measurement,HE staining and histopathological scoring,and mRNA expression levels of regenerating islet-derived 3 gamma(Reg3g)and inflammatory cytokines in colonic tissues.Another 14 mice were randomized into AL plus antibiotic cocktail(AL+ABX)and TRF plus antibiotic cocktail(TRF+ABX)groups,with 7 animals in each group.ABX was administered to deplete gut microbiota and evaluate the microbiota dependence of TRF in attenuating colitis.Fecal samples from AL and TRF mice were analyzed by 16S ribosomal RNA sequencing(16S rRNA-seq),and serum lipopolysaccharide(LPS)level was measured.The colonic epithelial cells were collected for RNA-seq.Results After modeling,the AL mice exhibited typical colitis symptoms,such as weight loss,diarrhea,and hematochezia.TRF intervention significantly attenuated these above symptoms,with lower DAI scores from day 4 post-modeling(P<0.001),reduced colon shortening(P<0.01),preserved tissue architecture,and decreased inflammation.RT-qPCR analysis showed that TRF down-regulated colonic mRNA expression levels of Reg3g and pro-inflammatory cytokines(IL-1 β,IL-6,TNF-α)(P<0.05)while up-regulated that of anti-inflammatory factor IL-10(P<0.000 1)when compared with the corresponding levels in AL mice.ABX treatment led no significant differences between the AL+ABX and TRF+ABX groups in term of DAI score,colon length,or histopathology.Obviously down-regulated Reg3g was observed in the TRF+ABX group than the AL+ABX group(P<0.05),whereas L-1β,IL-6,TNF-α and IL-10 showed no notable changes.16S rRNA-seq revealed that TRF markedly reshaped gut microbiota composition,with increased Gram-positive bacterial abundance,reduced Gram-negative bacteria,with concomitant lower serum LPS level(P<0.001).RNA-seq also indicated significant suppression of NF-κB and other inflammation-related signaling pathways in the TRF group.Conclusion TRF attenuates DSS-induced colitis in mice by downr-egulating Reg3γ expression,reshaping gut microbiota,and reducing serum LPS level,and thereby suppressing NF-κB-mediated inflammatory signaling pathways.

In this work,a fluorescent probe PIN was synthesized using indole-3-carbohydrazide and pyrenecarboxaldehyde as raw materials.PIN showed weak fluorescence emission in aqueous solution with acetonitrile volume fraction of 70％.However,when Cu2+was added to this aqueous solution of PIN,a new fluorescence emission peak appeared at 495 nm,and the intensity of this peak gradually increased with the increase of concentration of Cu2+,and also caused a significant change in the fluorescence color of the solution.In contrast,the addition of 15 kinds of other common metal ions did not cause such change.The detection limit of PIN for Cu2+was 78.7 nmol/L,which was much lower than the maximum permitting level of Cu2+in drinking water in hygienic standard for drinking water in China.Therefore,PIN was a highly selective and sensitive fluorescence-enhanced probe for Cu2+.Meanwhile,the addition of Cu2+could also cause a new absorption peak at 440 nm in the ultraviolet-visible absorption spectrum of the aqueous solution of PIN,and meanwhile the colorless PIN solution changed into yellow,exhibiting the performance of PIN as a colorimetric probe for Cu2+.By fitting with the Levenberg-Marquardt algorithm equation,the binding ratio of PIN to Cu2+was 2:1,and the binding constant was 3.42×1012 L2/mol2.In addition,the binding mode of PIN with Cu2+was explored by using proton nuclear magnetic resonance(1H NMR)titration experiments and density functional theory simulations.The results showed that the addition of Cu2+could cause the aggregation of PIN molecules to form excimers,thus showing highly selective recognition.Finally,PIN was made into a simple test strip,which could achieve rapid and convenient fluorescence detection of Cu2+in actual water samples.

Objective:To analyze the etiological composition and clinical characteristics of infant hypertension，and provide reference for its diagnosis and treatment.Methods:This is a retrospective case-control study.Retrospective investigation and analysis were conducted on the clinical data of infants discharged from Beijing Children's Hospital Affiliated to Capital Medical University with a diagnosis of "hypertension" from June 1，2016 to September 30，2021，including clinical manifestations，auxiliary examinations，treatment plans，and prognosis.Results:A total of 74 eligible children were collected，including 42 male infants（56.8%）and 32 female infants（43.2%）.A total of 67 cases（90.5%）had clear secondary factors，including 35 cases of kidney disease（47.3%），12 cases of connective tissue disease（16.2%），and 9 cases of hematological tumor disease（12.2%）.At the beginning of the disease，cardiac ultrasound showed that 54 cases（73.0%）had ventricular wall thickening，including mild thickening in 31 cases（57.4%），moderate thickening in 11 cases（20.3%），and severe thickening in 12 cases（22.2%）.After grouping by etiology，the incidence of proteinuria and severe hypertension in the renal hypertension group，as well as those receiving multiple antihypertensive drugs，was significantly higher than that in the non-renal hypertension group（ χ 2=28.493， P<0.001； χ 2=17.283， P<0.001； χ 2=17.358， P<0.001）；Renal disease was risk factor for severe hypertension in infants according to univariate and multivariate logistic regression analysis respectively（ OR=11.176，95% CI：2.882~43.339， P<0.001； OR=11.669，95% CI：2.921~46.624， P<0.001）.Thirty-one children had follow-up records for 6 months or more，and 13（41.9%）still required antihypertensive treatment，of whom 26（83.9%）were no longer recorded as having elevated blood pressure. Conclusion:Infant hypertension is mainly secondary，with a high proportion of renal factors and predisposition to severe hypertension，which requires multiple antihypertensive drugs for control.Active antihypertensive treatment and removal of secondary factors during the acute phase are helpful for controlling hypertension in infants，but further research is needed on treatment options and long-term prognosis.

Acupuncture treatment of chronic pain combined with depression (CPDC) is the result of a multi-target, multi-pathway approach. Acupuncture can treat CPDC by inhibiting the activation of glial cells, regulating the release of inflammatory mediators, regulating the expressions of neurotransmitters, changing the plasticity of neural synapses, regulating related epigenetic effects, regulating the microbiota-brain-gut axis, inhibiting nerve cell apoptosis, and antagonizing oxidative stress. The mechanism of its effect mainly involves anti-inflammatory related signaling pathways, regulation of neural synapse-related signaling pathways, and exerts its therapeutic effect through hippocampus, cerebral cortex, and amygdala.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.

Pectus excavatum (PE) is a common congenital chest malformation in children, manifested by inward depression of the anteriorthorax wall, which can compress the normal tissues and organs in the chest and cause adverse effects on the physiology and psychology of patients. Surgery is the most important means of treating PE, and with the invention of Nuss surgery, the surgical treatment of PE has entered the minimally invasive era. At present, there are many indexes to evaluate the severity of thoracic malformations in PE patients, and selecting appropriate evaluation indexes is of great significance for the formulation of surgical protocols. As a physical and mental disease, PE's deformed thoracic appearance not only affects the function of thoracic organs, but also affects the psychological state of patients. Therefore, there is still controversy over whether the role of orthopedic surgery is to improve function or cosmetic plastic surgery. At the same time, the orthopedic efficacy and postoperative complications of the existing modified and novel surgical methods need to be further observed and evaluated. In addition, the design of surgical plan and the selection of surgical timing for PE combined with other diseases are also critical and controversial issues in clinical practice. Therefore, this article explores and reviews the controversial points in the current surgical treatment of PE.