Objective T o explore the correlation between adult chest CT quantitative parameters and traditional Chinese medicine(TCM)constitution classification in adult persons with different body mass index(BMI).Methods The basic information of 205 adult subjects in the hospital was collected,including gender,age,height,weight,BMI,etc.They were divided into the low body mass group(BMI＜18.5 kg/mi2),normal body mass group(BMI 18.5-＜24.0 kg/m2)and overweight/obese group(BMI≥24.0 kg/m2)according to BMI.All subjects underwent the TCM constitution classification.The distribution of TCM constitutions a-mong the three groups with different BMI was analyzed.The quantitative chest CT parameters were collected,including fat content,muscle content,area of the middle slice of the transverse section image,transverse diam-eter,anteroposterior diameter,scan length,etc.The differences were compared among different TCM constitu-tions,individual basic information and chest CT quantitative parameters.Results In the low BMI group,the Qi-stagnation constitution was the highest;in the BMI normal group,the gentler constitution was the highest,while in the overweight/obese group,the phlegm-damp constitution was the highest.The gender,age,height,weight and BMI had significant correlation with the TCM constitution(P＜0.05).The fat content,fat vol-ume,muscle volume,area of transverse section ROI(AROI),transverse diameter,anteroposterior diameter and scan length/transverse diameter had significant correlation with the TCM constitution(P＜0.05).The differ-ences in BMI and fat content had statistical difference among the phlegm-damp constitution,Qi-stagnation constitution and the other Chinese medicine constitutions(P＜0.01).The fat content,fat volume and muscle volume had significant correlation with BMI(P＜0.01).The muscle content had no significant correlation with BMI(P＞0.05).The muscle content,scan length and transverse diameter/anteroposterior diameter had no significant correlation with the TCM constitution(P＞0.05).Conclusion The distribution difference of TCM constitution in adult persons with different BMI has the statistical significance.The chest CT quantita-tive parameters are closely correlated with TCM constitution classification.

OBJECTIVE: To develop a method for identifying high-risk patients among septic populations requiring mechanical ventilation, and to conduct phenotypic analysis based on this method. METHODS: Data from four sources were utilized: the Medical Information Mart for Intensive Care (MIMIC-IV 2.0, MIMIC-III 1.4), the Philips eICU-Collaborative Research Database 2.0 (eICU-CRD 2.0), and the Anhui Medical University Second Affiliated Hospital dataset. The adult patients in intensive care unit (ICU) who met Sepsis-3 and received invasive mechanical ventilation (IMV) on the first day of first admission were enrolled. The MIMIC-IV dataset with the highest data integrity was divided into a training set and a test set at a 6:1 ratio, while the remaining datasets were served as validation sets. The demographic information, comorbidities, laboratory indicators, commonly used ICU scores, and treatment measures of patients were extracted. Clinical data collected within first day of ICU admission were used to calculate the sequential organ failure assessment (SOFA) score. K-means clustering was applied to cluster SOFA score components, and the sum of squared errors (SSE) and Davies-Bouldin index (DBI) were used to determine the optimal number of disease subtypes. For clustering results, normalized methods were employed to compare baseline characteristics by visualization, and Kaplan-Meier curves were used to analyze clinical outcomes across phenotypes. RESULTS: This study enrolled patients from MIMIC-IV dataset (n = 11 166), MIMIC-III dataset (n = 4 821), eICU-CRD dataset (n = 6 624), and a local dataset (n = 110), with the four datasets showing similar median ages and male proportions exceeding 50%; using 85% of the MIMIC-IV dataset as the training set, 15% as the test set, and the rest dataset as the validation set. K-means clustering based on the six-item SOFA score was performed to determine the optimal number of clusters as 3, and patients were finally classified into three phenotypes. In the training set, compared with the patients with phenotype II and phenotype III, those with phenotype I had the more severe circulatory and respiratory dysfunction, a higher proportion of vasoactive drug usage, more obvious metabolic acidosis and hypoxia, and a higher incidence of congestive heart failure. The patients with phenotype II was dominated by respiratory dysfunction with higher visceral injury. The patients with phenotype III had relatively stable organ function. The above characteristics were consistent in both the test and validation sets. Analysis of infection-related indicators showed that the patients with phenotype I had the highest SOFA score within 7 days after ICU admission, initial decreases and later increases in platelet count (PLT), and higher counts of neutrophils, lymphocytes, and monocytes as compared with those with phenotype II and phenotype III, their blood cultures had a higher positivity rates for Gram-positive bacteria, Gram-negative bacteria and fungi as compared with those with phenotype II and phenotype III. The Kaplan-Meier curve indicated that in the training, test, and validation sets, the 28-day cumulative mortality of patients with phenotype I was significantly higher than that of patients with phenotypes II and phenotype III. CONCLUSIONS Three distinct phenotypes in septic patients receiving IMV based on unsupervised machine learning is derived, among which phenotype I, characterized by cardiorespiratory failure, can be used for the early identification of high-risk patients in this population. Moreover, this population is more prone to bloodstream infections, posing a high risk and having a poor prognosis.
Humans ; Machine Learning ; Sepsis/therapy* ; Respiration, Artificial ; Intensive Care Units ; Organ Dysfunction Scores ; Male ; Female ; Middle Aged ; Adult

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

BackgroundPreventing and intervening in adolescent gaming disorder is of significant practical importance. Gaming motivation is strongly linked to gaming addiction and serves a key function in comprehending and addressing addictive gaming behaviors. However， the relationship between components of gaming motivation and symptoms of gaming disorder remains unclear. ObjectiveTo explore the relationship between components of gaming motivation and symptoms of gaming disorder among adolescents， so as to provide references for the prevention and intervention of gaming disorder in this population. MethodsFrom January to February 2024， a cluster sampling method was employed to select 1 414 adolescents from four middle schools in Sichuan Province and Chongqing Municipality as participants in the study. Online Game Motivation Scale （OGMS） and Gaming Disorder Scale for Adolescents （GADIS-A） were administered. Network analysis methods were utilized to investigate the relationships between components of gaming motivation and symptoms of gaming disorder. ResultsThe network edge weights revealed that achievement motivation was positively correlated with impaired game control ability， continued gaming despite negative consequences and the frequency of symptom occurrence （r=0.115， 0.050， 0.076， P<0.05）. Social motivation was negatively correlated with negative consequences （r=-0.054， P<0.05），while immersion motivation was positively correlated with continued gaming despite negative consequences （r=0.032， P<0.05）. Achievement motivation exhibited the highest strength centrality （1.157） among the three components of gaming motivation. ConclusionThe connections between components of gaming motivation and symptoms of gaming disorder exhibit distinct patterns， with each motivational component influencing gaming disorder through specific symptom pathway. Among these components， achievement motivation plays the most critical role in the interplay between gaming motivation and symptoms of gaming disorder. ［Funded by Chongqing Science and Health Joint Medical Science and Technology Innovation Projects General Projects （number， 2023MSXM133）］

Background Non-optimal temperatures pose significant threats to public health. Analyzing the association between temperature exposure and the number of emergency cases of acute alcohol intoxication can provide evidence for optimizing emergency resource allocation and response strategies. Objective To analyze the overall impact and lag effects of non-optimal temperatures on the number of 120 emergency calls for acute alcohol intoxication in Wuxi, and to assess the attributable risk, in order to provide empirical evidence for formulating climate-adaptive public health strategies. Methods Call records of acute alcohol intoxication from Wuxi's 120 emergency service, concurrent air pollutant data, and meteorological data (including daily mean temperature) were collected from January 1, 2014 to December 31, 2020. Distributed lag nonlinear modeling was used for time-series analysis, with cross-basis functions to capture the nonlinear relationship and lag effects between temperature and emergency volume. Confounding factors such as long-term trends, humidity, pollutants [ultimately including ozone (O₃) and fine particulate matter (PM_2.5)], day of the week, and holidays were controlled. The maximum lag period was set to 14 days. Single-day lag and cumulative lag effects of extreme temperatures were analyzed, followed by sensitivity analysis. Effects were quantified using relative risk (RR) and 95% confidence intervals (95%CI), and attributable fractions and numbers for different temperature ranges were calculated. Results A total of 10705 emergency cases of acute alcohol intoxication were included during the study period, with males accounting for 89.5% and individuals aged 18–50 years accounting for 83.4%. A non-linear "U-shaped" association was observed between daily mean temperature and the number of emergency calls, with an optimal temperature of 13.3 ℃. The effect of the extreme low temperature (1.88 ℃) was statistically significant from lag1 to lag3 after exposure (P<0.05), with the maximum effect at lag1 (RR=1.063, 95%CI: 1.002, 1.129). The extreme high temperature (32.3 ℃) showed an immediate effect, with maximum effect at lag0 (RR=1.374, 95%CI: 1.248, 1.512). The cumulative effect analysis showed that the risk associated with high temperature was the highest at lag0–3 (RR=2.000, 95%CI: 1.667, 2.399), while the risk associated with low temperature was the highest at lag0–14 (RR=1.462, 95%CI: 1.042, 2.051). The attribution analysis indicated that the mild heat (>24.7–30.8 ℃) and heat (>30.8–33.5 ℃) contributed the largest numbers of attributable cases, with 591 cases (95%CI: 56, 1032) and 190 cases (95%CI: 51, 309), respectively. The corresponding attributable fractions were 5.81% (95%CI: 0.80%, 9.94%) and 1.87% (95%CI: 0.49%, 2.96%), respectively. Conclusion Both extreme high and low temperatures significantly increase the number of 120 emergency calls for acute alcohol intoxication in Wuxi. High temperature exhibit an acute effect, while low temperature show a delayed effect. Mild heat have a significant impact on the emergency burden. It is recommended that emergency departments optimize resource allocation according to climatic characteristics and strengthen emergency responses during extreme weather to reduce alcohol-related health burden.

BACKGROUND: While emotional distress, encompassing anxiety and depression, has been associated with negative clinical outcomes, its impact across various clinical departments and general hospitals has been less explored. Previous studies with limited sample sizes have examined the effectiveness of specific treatments (e.g., antidepressants) rather than a systemic management strategy for outcome improvement in non-psychiatric inpatients. To enhance the understanding of the importance of addressing mental health care needs among non-psychiatric patients in general hospitals, this study retrospectively investigated the impacts of emotional distress and the effects of early detection and management of depression and anxiety on hospital length of stay (LOS) and rate of long LOS (LLOS, i.e., LOS >30 days) in a large sample of non-psychiatric inpatients. METHODS: This retrospective cohort study included 487,871 inpatients from 20 non-psychiatric departments of a general hospital. They were divided, according to whether they underwent a novel strategy to manage emotional distress which deployed the Huaxi Emotional Distress Index (HEI) for brief screening with grading psychological services (BS-GPS), into BS-GPS ( n = 178,883) and non-BS-GPS ( n = 308,988) cohorts. The LOS and rate of LLOS between the BS-GPS and non-BS-GPS cohorts and between subcohorts with and without clinically significant anxiety and/or depression (CSAD, i.e., HEI score ≥11 on admission to the hospital) in the BS-GPS cohort were compared using univariable analyses, multilevel analyses, and/or propensity score-matched analyses, respectively. RESULTS: The detection rate of CSAD in the BS-GPS cohort varied from 2.64% (95% confidence interval [CI]: 2.49%-2.81%) to 20.50% (95% CI: 19.43%-21.62%) across the 20 departments, with a average rate of 5.36%. Significant differences were observed in both the LOS and LLOS rates between the subcohorts with CSAD (12.7 days, 535/9590) and without CSAD (9.5 days, 3800/169,293) and between the BS-GPS (9.6 days, 4335/178,883) and non-BS-GPS (10.8 days, 11,483/308,988) cohorts. These differences remained significant after controlling for confounders using propensity score-matched comparisons. A multilevel analysis indicated that BS-GPS was negatively associated with both LOS and LLOS after controlling for sociodemographics and the departments of patient discharge and remained negatively associated with LLOS after controlling additionally for the year of patient discharge. CONCLUSION Emotional distress significantly prolonged the LOS and increased the LLOS of non-psychiatric inpatients across most departments and general hospitals. These impacts were moderated by the implementation of BS-GPS. Thus, BS-GPS has the potential as an effective, resource-saving strategy for enhancing mental health care and optimizing medical resources in general hospitals.
Humans ; Retrospective Studies ; Male ; Length of Stay/statistics & numerical data* ; Female ; Middle Aged ; Adult ; Psychological Distress ; Inpatients/psychology* ; Aged ; Anxiety/diagnosis* ; Depression/diagnosis*

Objective To investigate the status and developmental trends of clinical trials for weight control drugs in China,and to provide data support for sponsors,researchers,and regulatory authorities.Methods The drug clinical trial registration and information platform of the National Medical Products Administration was utilized to search for registered clinical trials of weight control drugs from November 2012 to June 2024.The search employed"overweight","obesity",and"weight loss"as keywords.The information collected included project registration time,drug name,dosage form,drug classification,indications,trial staging,study progress,design type,lead unit,and sponsor.Microsoft Office Excel software was employed for data entry,organization,and extraction.Results A total of 95 registered clinical trials of weight control drugs were identified,comprising 40 domestic multicenter trials,47 domestic single-center trials,and 8 international multicenter trials.Regarding trial phasing,46(48.4％)were phase Ⅰ clinical trials,17(17.9％)were phase Ⅱ clinical trials,19(20.0％)were phase Ⅲ clinical trials,and 13(13.7％)were bioequivalence trials.The drug categorization encompassed 22 chemical drugs,20 biological products,and 1 traditional Chinese medicine/natural drug.Concerning drug dosage forms,there were 32 items of injectable dosage forms,8 items of tablets,2 items of capsules,and 1 item of chewable tablets.Conclusions Registered clinical trials for weight-loss medications in China are predominantly concentrated in regions with developed medical resources.Injectable biologics constitute most test drugs,with most drugs in the early stages of research and development.The examination of the safety and efficacy of these drugs remains to be substantiated,and it is anticipated that a considerable period will elapse before their approval and market introduction.

This paper starts with an analysis of the types of risks in the procurement of public hospitals,explores the weak links in internal control,identifies problems in risk management,and proposes improvement suggestions to promote stand-ardized and refined management of hospital procurement.

This paper starts with an analysis of the types of risks in the procurement of public hospitals,explores the weak links in internal control,identifies problems in risk management,and proposes improvement suggestions to promote stand-ardized and refined management of hospital procurement.

With the advent of the genomic era, genomics has gradually become a part of nursing. The use of genomic data can explore the mechanisms of disease occurrence and progression, accurately identify intervention targets and regulatory pathways of diseases, provide precise and personalized nursing services for patients, and improve their quality of life. This paper reviews the current application status of genomics in nursing, deeply analyzes the development process of genomics in genetic risk assessment, symptom precision nursing, precision nursing decision-making, and nursing education, and proposes corresponding development strategies. Through a comprehensive and in-depth exploration of the combination of genomics and nursing, the aim is to provide strong theoretical guidance for the future development of genomics nursing in China.