Depression and circadian rhythms exhibit bidirectional interactions,suggesting a close association with the biological clock system.The biological clock in the suprachiasmatic nucleus of the hypothalamus is regulated by circadian genes.Recent clinical and basic research has revealed multifaceted associations between depression and circadian genes.For instance,significant phase abnormalities in BMAL1,PER2,and PER3 were detected in brain tissue from depressed patients,while plasma levels of CRY1,ARNTL,and PER1 proteins showed marked reduction,demonstrating good diagnostic value.Mice with CLOCK and BMAL1 knockouts exhibited depression-like behaviors.Single nucleotide polymorphisms(SNPs)in genes such as PER1 and PER3 directly influence depression susceptibility.Methylation levels of BMAL1,PER3,and CLOCK genes correlate closely with depressive symptoms.Antidepressant mechanisms like ketamine exert their effects by downregulating PER2 and other genes.This review summarizes the differential expression patterns of circadian clock genes in depression and associated therapeutic approaches,aiming to provide new theoretical foundations for precision diagnosis and personalized treatment strategies for depression.

Objective We investigated the clinical features and the potential risk factors of malnutrition in patients with chronic heart failure(CHF),and constructed the risk prediction model of malnutrition.Methods A total of459 CHF patients admitted between January 2023 and July 2024 were classified into a normal nutrition group and a malnutrition group based on the geriatric Nutrition Risk Index(GNRI)score upon admission.The patient-related data were gathered,and single-variable and multi-variable logistic analyses were first carried out to identify the risk factors associated with the malnutrition risk.Subsequently,the stepwise regression approach was employed to define the inclusion criteria and construct a malnutrition nomogram model for CHF patients.The diagnostic efficacy and calibration of this model were appraised using the ROC curve and calibration curve,and its clinical utility was assessed via the clinical decision curve.A P value less than 0.05 signified statistically significant differences.Results Anxiety(OR=1.1902,95%CI:1.0217～1.3865),urea nitrogen(OR=1.4842,95%CI:1.1187～1.9691),low body weight(OR=0.8463,95%CI:0.7852～0.9121),and low albumin(OR=0.0467,95%CI:0.0172～0.1268)were risk factors for malnutrition.The optimal model inclusion factors were selected by stepwise regression,including:Body weight,7 items of Generalized Anxiety Disorder Scale(GAD-7),urea nitrogen,uric acid,albumin,total cholesterol,high density lipoprotein cholesterol(HDL-L),low density lipoprotein cholesterol(LDL-L),D-dimer.The area under the ROC curve(AUC)of the column chart model based on the above factors is 0.996(95%CI:0.971～0.978),with a sensitivity of 97.8%and a specificity of 97.1%.The C-index validated internally in the calibration curve was 0.824.The calibration chart and validation results demonstrate good consis-tency and applicability.Conclusion The column chart prediction model created in this study based on nine factors including body weight,GAD-7,urea nitrogen,uric acid,albumin,total cholesterol,HDL-L,LDL-L,and D-dimer had good calibration and prediction performance,and had good clinical practicality,which was helpful for clinicians to make diagnosis and treatment decisions for malnutrition in CHF patients.

Depression and circadian rhythms exhibit bidirectional interactions,suggesting a close association with the biological clock system.The biological clock in the suprachiasmatic nucleus of the hypothalamus is regulated by circadian genes.Recent clinical and basic research has revealed multifaceted associations between depression and circadian genes.For instance,significant phase abnormalities in BMAL1,PER2,and PER3 were detected in brain tissue from depressed patients,while plasma levels of CRY1,ARNTL,and PER1 proteins showed marked reduction,demonstrating good diagnostic value.Mice with CLOCK and BMAL1 knockouts exhibited depression-like behaviors.Single nucleotide polymorphisms(SNPs)in genes such as PER1 and PER3 directly influence depression susceptibility.Methylation levels of BMAL1,PER3,and CLOCK genes correlate closely with depressive symptoms.Antidepressant mechanisms like ketamine exert their effects by downregulating PER2 and other genes.This review summarizes the differential expression patterns of circadian clock genes in depression and associated therapeutic approaches,aiming to provide new theoretical foundations for precision diagnosis and personalized treatment strategies for depression.

Objective We investigated the clinical features and the potential risk factors of malnutrition in patients with chronic heart failure(CHF),and constructed the risk prediction model of malnutrition.Methods A total of459 CHF patients admitted between January 2023 and July 2024 were classified into a normal nutrition group and a malnutrition group based on the geriatric Nutrition Risk Index(GNRI)score upon admission.The patient-related data were gathered,and single-variable and multi-variable logistic analyses were first carried out to identify the risk factors associated with the malnutrition risk.Subsequently,the stepwise regression approach was employed to define the inclusion criteria and construct a malnutrition nomogram model for CHF patients.The diagnostic efficacy and calibration of this model were appraised using the ROC curve and calibration curve,and its clinical utility was assessed via the clinical decision curve.A P value less than 0.05 signified statistically significant differences.Results Anxiety(OR=1.1902,95%CI:1.0217～1.3865),urea nitrogen(OR=1.4842,95%CI:1.1187～1.9691),low body weight(OR=0.8463,95%CI:0.7852～0.9121),and low albumin(OR=0.0467,95%CI:0.0172～0.1268)were risk factors for malnutrition.The optimal model inclusion factors were selected by stepwise regression,including:Body weight,7 items of Generalized Anxiety Disorder Scale(GAD-7),urea nitrogen,uric acid,albumin,total cholesterol,high density lipoprotein cholesterol(HDL-L),low density lipoprotein cholesterol(LDL-L),D-dimer.The area under the ROC curve(AUC)of the column chart model based on the above factors is 0.996(95%CI:0.971～0.978),with a sensitivity of 97.8%and a specificity of 97.1%.The C-index validated internally in the calibration curve was 0.824.The calibration chart and validation results demonstrate good consis-tency and applicability.Conclusion The column chart prediction model created in this study based on nine factors including body weight,GAD-7,urea nitrogen,uric acid,albumin,total cholesterol,HDL-L,LDL-L,and D-dimer had good calibration and prediction performance,and had good clinical practicality,which was helpful for clinicians to make diagnosis and treatment decisions for malnutrition in CHF patients.

Background Air pollution and meteorological factors exert complex nonlinear effects on acute symptoms in the population, with intricate interactions among these factors. Traditional statistical methods struggle to simultaneously address complex nonlinear relationships and multicollinearity issues. Objective To delineate the dynamic effects of air pollutants and meteorological parameters on acute symptoms in three distinct populations with the multicollinearity being addressed and to generate reliable scientific evidence for prevention and control of health risk factors. Methods A time-series study design was employed to collect data on air pollution (daily mean temperature, daily precipitation, daily mean relative humidity, and daily mean wind speed), meteorological factors [Air Quality Index (AQI), fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), and 8-hour maximum ozone (O₃)], and acute symptoms such as fever, cough, and sore throat in Jinan from June to December 2023. Key variables were selected using least absolute shrinkage and selection operator (LASSO) regression, followed by generalized additive mixed modeling (GAMM) to analyze the health effects of combined environmental exposures to air pollution and meteorological factors. Linear variables were modeled using linear mixed-effects function, nonlinear variables were smoothed using thin-plate regression splines, and variables with interaction effects were smoothed using low-rank scale-invariant tensor product splines. Fluctuations in independent variables following a normal distribution were treated as sampling errors and incorporated as random effects in the GAMM. Results For fever, the daily mean temperature, daily mean relative humidity, daily mean wind speed, and ambient SO₂ were statistically significant (P<0.05), with daily mean wind speed being a linear influencing factor. When the daily mean temperature was below 3 °C, each 10 °C increase corresponded to a relative risk (RR) of 2.64 (95%CI: 2.50, 2.79). When the daily mean temperature was ≥3 °C, each 10 °C increase corresponded to an RR of 0.86 (95%CI: 0.83, 0.89). Each 10% increase in daily mean relative humidity was associated with an RR of 0.93 (95%CI: 0.89, 0.97). Each 1 m·s⁻¹ increase in daily mean wind speed corresponded to an RR of 1.06 (95%CI: 1.02, 1.10). Within the concentration ranges of <10 μg·m⁻³, 10–<12.5 μg·m⁻³, and ≥12.5 μg·m⁻³, each 1 μg·m⁻³ increase in ambient SO₂ corresponded to RR values of 1.01 (95%CI: 0.98, 1.05), 1.21 (95%CI: 1.17, 1.24), and 0.97 (95%CI: 0.94, 0.99), respectively. For cough, the daily mean temperature, daily mean relative humidity, PM₁₀, and SO₂ were statistically significant (P<0.001), with PM₁₀ being a linear influencing factor. When the daily mean temperature was below 1 °C, each 10 °C increase corresponded to an RR of 1.47 (95%CI: 1.42, 1.52). When the daily mean temperature was ≥1 °C, each 10 °C increase corresponded to an RR of 0.85 (95%CI: 0.82, 0.87). Each 10% increase in daily mean relative humidity was associated with an RR of 0.95 (95%CI: 0.92, 0.98). Each 50 μg·m⁻³ increase in PM₁₀ concentration corresponded to an RR of 1.05 (95%CI: 1.02, 1.08). Within the concentration ranges of <10 μg·m⁻³, 10–<12.5 μg·m⁻³, and ≥ 12.5 μg·m⁻³, each 1 μg·m⁻³ increase in ambient SO₂ corresponded to RR values of 1.00 (95%CI: 0.97, 1.03), 1.12 (95%CI: 1.09, 1.16), and 0.98 (95%CI: 0.95, 1.00), respectively. For sore throat, the daily mean temperature, daily mean relative humidity, daily mean wind speed, PM₁₀, and SO₂ were statistically significant (P<0.05), with daily mean wind speed and PM₁₀ being linear influencing factors. When the daily mean temperature was below 2 °C, each 10 °C increase corresponded to an RR of 1.82 (95%CI: 1.69, 1.96). When the daily mean temperature was ≥2 °C, each 10 °C increase corresponded to an RR of 0.81 (95%CI: 0.77, 0.87). Each 10% increase in daily mean relative humidity was associated with an RR of 0.94 (95%CI: 0.88, 1.00). Within the concentration ranges of <10 μg·m⁻³, 10–<12.5 μg·m⁻³, and ≥12.5 μg·m⁻³, each 1 μg·m⁻³ increase in ambient SO₂ corresponded to RR values of 1.02 (95%CI: 0.97, 1.08), 1.13 (95%CI: 1.08, 1.19), and 0.98 (95%CI: 0.94, 1.02), respectively. Each 1 m·s⁻¹ increase in daily mean wind speed and each 50 μg·m⁻³ increase in PM₁₀ concentration were associated with RR values of 1.06 (95%CI: 1.00, 1.12) and 1.04 (95%CI: 0.98, 1.10), respectively. An interaction effect was observed between daily mean wind speed and PM₁₀: increasing daily mean wind speed non-linearly reduced the impact of PM₁₀, on sore throat whereas PM₁₀ had no significant effect on wind speed. Conclusion This study, by combining LASSO and GAMM, largely eliminates the multicollinearity among selected variables. It reveals complex non-linear effects and interactions between air pollutants, meteorological factors, and acute symptoms in different population groups in Jinan. The symptoms like fever, cough, and sore throat are non-linearly associated with daily mean temperature and SO₂ concentration, while PM₁₀ and wind speed show a linear relationship or interactive effects. These findings provide a new basis for the precise prevention and control of health risk factors.

OBJECTIVE To sort out the evaluation mechanism and methodology of published cases of comprehensive clinical evaluation of drugs in China,and provide a reference for promoting standardized comprehensive clinical evaluation of drugs and strengthening policy transformation in China.METHODS Clinical comprehensive evaluation cases of drugs published in China from CNKI,Wanfang Data,PubMed and Web of Science were systematically searched,and the retrieval time was from the inception to December 31st,2023.The summary and analysis were performed from the aspects of theme selection,indicator system construction,evaluation methods,comprehensive decision-making,quality control,etc.RESULTS A total of 143 pieces of literature were ultimately included from 2014 to 2023.The number of publications has shown a rapid upward trend since 2019.The subjects of the evaluation cases were mainly pediatric drugs,Chinese patent medicines,cardiovascular drugs and anti-tumor drugs.The evaluation dimensions were between 3-8,all involving safety and effectiveness dimensions.Most cases adopted rapid evaluation methods based on literature review and expert interviews/questionnaire surveys with less emphasis on real-world research.Most cases did not involve comprehensive decision-making,quality control,or policy transformation.CONCLUSIONS The clinical comprehensive evaluation of drugs in China has made rapid progress under the guidance of national policies.However,there are still issues and challenges such as incomplete evaluation methods and standards,few cases of evaluation results being converted into decision-making,and a lack of quality control mechanisms.It is suggested that standardized evaluation paths and quality control mechanisms should be explored;when the evidence-based basis is insufficient,real-world research should be conducted as much as possible,so as to accelerate the policy transformation of evaluation results.

OBJECTIVE To explore standardized evaluation process for clinical comprehensive evaluation of blood lipid- regulating drugs and perform rapid assessment of clinical comprehensive evaluation of blood lipid-regulating drugs with different mechanisms so as to provide reference for the drug catalogue selection and rational drug use of medical institutions. METHODS Referring to guidelines and consensus such as the guideline for the management of comprehensive clinical evaluation of drugs， the methods such as literature research， expert interviews， and Delphi expert consultation were used to establish a multi-dimensional and multi-criteria clinical comprehensive evaluation index system and quantitative scoring table for blood lipid-regulating drugs around the two main lines of technical evaluation and policy evaluation. Then 13 blood lipid-regulating drugs with different mechanisms in 21 third-grade class-A medical institutions from five provinces and regions of Northwest China were scored from both technical and policy dimensions to form a comprehensive evaluation result. RESULTS The clinical comprehensive evaluation index system and corresponding rapid evaluation quantitative scoring table were constructed for blood lipid-regulating drugs in the five northwest provinces and regions. The technicalevaluation section included 6 primary indicators， 13 secondary indicators， and 34 tertiary indicators， totaling 110 points. The policy evaluation section included 4 primary indicators and 6 secondary indicators， with a total score of 40 points （30 points for some drugs） and a total score of 150 points （or 140 points）. The scoring results showed that the highest score was atorvastatin， followed by rosuvastatin and simvastatin. CONCLUSIONS Statins are still the cornerstone of drug therapy for patients with dyslipidemia； the rapid evaluation quantitative scoring table constructed in this study is comprehensive， systematic and operable. The evaluation process in this study can provide empirical references for other groups to exploring the standardized path and quality control mechanism of clinical comprehensive evaluation of drugs.

Objective:To analyze the distribution and drug resistance of wound pathogenic microorganisms in outpatients of wound healing center so as to provide a basis for the standardized construction of wound healing centers.Methods:A retrospective case series study was used to analyzed the data of 365 outpatients treated at Ruijin Hospital, Shanghai Jiaotong University School of Medicine from December 2017 to October 2019. There were 220 males and 145 females, aged (58.8±18.9)years (range, 18-98 years). The patients included 92 first-visit patients and 273 re-visit patients. The culture results (positive rate of pathogenic microorganisms, bacterial species, bacterial distribution) and drug sensitivity results of the wound secretions were compared and analyzed.Results:(1) Among 365 samples of wound secretions, 198 patients were positive for pathogenic microorganisms with a positive rate of 54.3%. A total of 107 strains (51.0%) of Gram-positive bacteria were detected, mainly Staphylococcus aureus (70 strains, 33.3%); 95 strains (45.2%) of Gram-negative bacteria were detected, mainly Escherichia coli (20 strains, 9.5%), followed by Pseudomonas aeruginosa (17 strains, 8.1%); 8 strains (3.8%) of fungi were detected. (2) A total of 26 (28.3%) first-visit patients were positive for pathogenic microorganisms, and 172 (63.0%) re-visit patients were positive for pathogenic microorganisms. The rate of positive microorganism detection had significant differences between first-visit and re-visit patients ( P<0.05). (3) A total of 29 strains were detected in first-visit patients, including 16 strains (55.2%) of Gram-positive bacteria, 11 strains (37.9%) of Gram-negative bacteria and 2 strains (6.9%) of fungi. A total of 181 strains were detected in re-visit patients, including 91 strains (50.3%) of Gram-positive bacteria, 84 strains (46.4%) of Gram-negative bacteria and 6 strains (3.3%) of fungi. The microbial distribution was significantly different between first-visit and re-visit patients ( P<0.05). (4) Compared with first-visit patients, the resistance of Staphylococcus aureus isolated from the re-visit patients to spenicillin, oxacillin, ciprofloxacin, tetracycline, clindamycin, moxifloxacin, erythromycin, and levofloxacin were increased variably. No vancomycin-resistant Staphylococcus aureus was detected, indicating that the staphylococcus aureus presented in the wound was highly sensitive to vancomycin. Conclusions:Staphylococcus aureus is the most common microorganism in wound secretions in outpatients of wound healing center. The rate of positive pathogenic microorganisms in wound secretions of re-visit patients is significantly higher than that of first-visit patients, and the distribution of pathogenic microorganisms of first-visited and revisited patients differs significantly. The Staphylococcus aureus detected in re-visit patients has a higher resistance to common antibiotics compared with first-visit patients. It is suggested that timely detection of pathogenic microorganisms in outpatients and effective control and supervision of outpatient infections are important contents that cannot be ignored in the construction of wound healing center.

According to a document issued by the General Office of National Health Commission, "one person, one diagnosis, and one room" is required in the process of outpatient consultation. However, the patient will need to go to another room for dressing change after the doctor checks the wound if sticking to the conventional layout of current wound repair specialist outpatient clinic in hospitals and following the regulation of "separation of diagnosis and treatment". To allow a patient walking back and forth with the exposed wounds to different clinics or going to another clinic for dressing change with the original dressing reapplied to the wound is against the regulation of nosocomial infection control and the principle of sterility. To ensure that the layout of the outpatient clinic in the wound repair outpatient department not only conforms to the principle of "one person, one diagnosis, and one room", but also meets the characteristics of the diagnosis and treatment process of chronic wounds, this paper proposes the layout of "large space and small partition" in the wound repair clinic.