ObjectiveTo investigate the role of serum HBV RNA in assessing antiviral therapy for patients with chronic hepatitis B， as well as its potential as a biomarker in clinical therapy， and to provide a scientific basis for the clinical treatment of chronic hepatitis B. MethodsA total of 134 patients who were diagnosed with chronic HBV infection in The Second Affiliated Hospital of Kunming Medical University from April 2023 to May 2024 were enrolled as subjects， and related examinations were performed， including HBV DNA， serum HBV RNA， liver function， HBsAg， anti-HBs， HBeAg， anti-HBe， anti-HBc， and transient elastography of the liver. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups； the chi-square test or the continuity-adjusted chi-square test was used for comparison of categorical data between two groups. Pearson correlation analysis or Spearman correlation analysis was performed. ResultsThe 134 patients with chronic HBV infection were divided into HBeAg-positive group with 45 patients and HBeAg-negative group with 89 patients， and there were significant differences between the two groups in age， the positive rate and quantitative value of HBV DNA， the positive rate and quantitative value of serum HBV RNA， HBsAg， anti-HBe， and ALT （all P<0.05）. In the cohort study of the HBeAg negative group， there were significant differences in the levels of HBV DNA， HBsAg， and GGT between the serum HBV RNA-negative group with 14 patients and the serum HBV RNA-positive group with 75 patients （all P<0.05）. There were 28 patients in the HBeAg-positive group and 62 in the HBeAg-positive group who used antiviral drugs for ≥1 month， and the 28 HBeAg-positive patients had an HBV RNA positive rate of 100%， while for the 62 HBeAg-negative patients， there were significant differences in the positive rate and level of serum HBV RNA between the patients with different durations of medication （both P<0.05）. Among the 89 HBeAg-negative patients， there were 62 treatment-experienced patients and 27 treatment-naïve patients， and there was a significant difference between the two groups in HBV RNA level ［2.07 （1.52 — 2.82） log₁₀ copies/mL vs 2.69 （1.80 — 3.55） log₁₀ copies/mL， Z=2.034， P=0.042］. For HBeAg-negative patients， serum HBV RNA was positively correlated with HBV DNA and HBsAg （both P<0.05）， and for HBeAg-positive patients， serum HBV RNA was significantly positively correlated with HBV DNA， HBsAg， and HBeAg （all P<0.05）. ConclusionAntiviral therapy can reduce viral load， and for HBeAg-negative patients with high-sensitivity HBV DNA below the lower limit of detection， serum HBV RNA can fill the “gap” in the detection of viral replication.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To investigate the association between baseline depression and the risk of type 2 diabetes mellitus(T2DM)in middle-aged and elderly people in Chengguan District of Lanzhou.Methods A total of 4471 residents who were followed up in Chengguan District,Lanzhou City from August 2014 to July 2016 in the 2011 REACTION study were selected as the research subjects.According to the 9-item patient health questionnaire(PHQ-9),they were divided into the non-depression group with a score of 0～4 points(ND,n=3827),the mild depression group with a score of 5～10 points(MD,n=546)and the moderate to severe depression group with a score of≥10 points(MSD,n=98).The general data and biochemical indicators of the three groups were compared.The correlation between depression status and glycolipid metabolism indicators was analyzed.The follow-up results of the three groups with different baseline glucose metabolism status populations were compared.Logistic regression was used to analyze the influencing factors of progression in different glucose metabolism populations.Results The married rate in the ND,MD and MSD groups decreased sequentially(P<0.05),while the rate of living alone and the PHQ-9 score increased(P<0.05).The female population,family history of DM,coronary heart disease,LDL-C and TC in the MD group were higher than those in the ND group(P<0.05),while the age,BMI,WHR,FPG and 2 hPG in the MD group were lower than those in the ND group(P<0.05).The family history of DM in the MSD group was higher than those in the ND group(P<0.05),drinking and LDL-C in the MSD group were higher than those in the MD group(P<0.05),the BMI was lower than that in the ND group(P<0.05).Spearman correlation analysis showed that the baseline PHQ-9 score was negatively correlated with FPG level(r=-0.039,P<0.05),and positively correlated with HDL-C and TC(r=0.049,0.031,P<0.05).There was no significant difference in the incidence of pre-DM and T2DM at the end of follow-up among the three groups with different baseline glucose metabolism(P>0.05).Logistic regression analysis showed that after adjusting for confounding factors,the risk of pre-DM and T2DM in normal glucose tolerance people with different depression status and the risk of T2DM in pre-DM patients were not increased.Conclusions Depressive state may not be the main factor affecting the occurrence of T2DM in middle-aged and elderly people in Chengguan District of Lanzhou.

Objective:To explore the distribution of Traditional Chinese Medicine constitution among patients with impaired awareness of hypoglycemia (IAH) and identify risk factors for IAH in patients with diabetes mellitus, to develop a risk prediction model. The aim is to validate the models′ predictive accuracy to facilitate early prevention and treatment of IAH.Methods:A case control study employing convenience sampling model was conducted on 1351 hospitalized patients with diabetes mellitus in the endocrinology departments of Changshu Hospital Affiliated to Nanjing University of Chinese Medicine and Affiliated Hospital of Jiangsu University, between August 2021 and December 2023. Traditional Chinese medicine constitution types were determined using the Traditional Chinese Medicine Constitution Classification and Judgment (ZYYXH/T157-2009). Data were divided into training and test sets at a ratio of 7∶3. Two prediction models were developed: Model 1, a conventional IAH prediction model for patients with diabetes mellitus, and Model 2, an IAH prediction model for patients with diabetes mellitus incorporating traditional Chinese medicine constitution. Nomograms were drawn for both models. The Hosmer-Lemeshow goodness-of-fit test, calibration curve, receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated to evaluate the effectiveness of models 1 and 2. The improvement in prediction performance between Models 1 and 2 was assessed using Delong test, AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results:The study included 1 283 patients with diabetes mellitus, including 578 males and 705 females, aged (59.61 ± 14.09) years. The incidence of IAH among patients with diabetes mellitus was 20.50% (263/1283), with yang deficiency constitution being the most prevalent traditional Chinese medicine constitution type, at 47.53% (125/263). Multivariate analysis revealed that age, body mass index, course of diabetes, neurological hypoglycemia symptoms, hypoglycemia symptoms and severe hypoglycemia history were the influencing factors of Model 1 (all P<0.05); age, body mass index, neurological hypoglycemic symptoms, hypoglycemic symptoms, history of severe hypoglycemia, and traditional Chinese medicine constitution were the influencing factors of Model 2 (all P<0.05). The Hosmer-Lemeshow goodness-of-fit test showed a good fit of Model 2 [training set ( χ2=8.48, P>0.05), test set ( χ2=3.92, P>0.05)]. The Delong test results showed that the AUC for Model 2 was 0.96 for both the training and test sets, significantly higher than the AUCs of the 0.90 and 0.91 for Model 1 ( Z=-7.27, -3.70, both P<0.01). Furthermore, NRI was 0.66 ( 95%CI 0.53-0.79, P<0.01) and IDI was 0.02 (95% CI 0.01-0.03, P<0.05) for Model 2. Comparative analysis of clinical utility demonstrated that the net benefit of Model 2 for predicting IAH in patients with diabetes mellitus surpassed that of Model 1 across threshold probabilities ranging from 5% to 100%. Conclusions:The study constructed a nomogram prediction model included traditional Chinese medicine constitution with good predictive performance for IAH in patients with diabetes mellitus, and is of significant clinical value for identifying high-risk IAH populations.IAH patients mainly have a biased constitution, indicating that medical staff can reduce the incidence of IAH by improving the patients′ constitution.

Objective To investigate the association between baseline depression and the risk of type 2 diabetes mellitus(T2DM)in middle-aged and elderly people in Chengguan District of Lanzhou.Methods A total of 4471 residents who were followed up in Chengguan District,Lanzhou City from August 2014 to July 2016 in the 2011 REACTION study were selected as the research subjects.According to the 9-item patient health questionnaire(PHQ-9),they were divided into the non-depression group with a score of 0～4 points(ND,n=3827),the mild depression group with a score of 5～10 points(MD,n=546)and the moderate to severe depression group with a score of≥10 points(MSD,n=98).The general data and biochemical indicators of the three groups were compared.The correlation between depression status and glycolipid metabolism indicators was analyzed.The follow-up results of the three groups with different baseline glucose metabolism status populations were compared.Logistic regression was used to analyze the influencing factors of progression in different glucose metabolism populations.Results The married rate in the ND,MD and MSD groups decreased sequentially(P<0.05),while the rate of living alone and the PHQ-9 score increased(P<0.05).The female population,family history of DM,coronary heart disease,LDL-C and TC in the MD group were higher than those in the ND group(P<0.05),while the age,BMI,WHR,FPG and 2 hPG in the MD group were lower than those in the ND group(P<0.05).The family history of DM in the MSD group was higher than those in the ND group(P<0.05),drinking and LDL-C in the MSD group were higher than those in the MD group(P<0.05),the BMI was lower than that in the ND group(P<0.05).Spearman correlation analysis showed that the baseline PHQ-9 score was negatively correlated with FPG level(r=-0.039,P<0.05),and positively correlated with HDL-C and TC(r=0.049,0.031,P<0.05).There was no significant difference in the incidence of pre-DM and T2DM at the end of follow-up among the three groups with different baseline glucose metabolism(P>0.05).Logistic regression analysis showed that after adjusting for confounding factors,the risk of pre-DM and T2DM in normal glucose tolerance people with different depression status and the risk of T2DM in pre-DM patients were not increased.Conclusions Depressive state may not be the main factor affecting the occurrence of T2DM in middle-aged and elderly people in Chengguan District of Lanzhou.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To explore the distribution of Traditional Chinese Medicine constitution among patients with impaired awareness of hypoglycemia (IAH) and identify risk factors for IAH in patients with diabetes mellitus, to develop a risk prediction model. The aim is to validate the models′ predictive accuracy to facilitate early prevention and treatment of IAH.Methods:A case control study employing convenience sampling model was conducted on 1351 hospitalized patients with diabetes mellitus in the endocrinology departments of Changshu Hospital Affiliated to Nanjing University of Chinese Medicine and Affiliated Hospital of Jiangsu University, between August 2021 and December 2023. Traditional Chinese medicine constitution types were determined using the Traditional Chinese Medicine Constitution Classification and Judgment (ZYYXH/T157-2009). Data were divided into training and test sets at a ratio of 7∶3. Two prediction models were developed: Model 1, a conventional IAH prediction model for patients with diabetes mellitus, and Model 2, an IAH prediction model for patients with diabetes mellitus incorporating traditional Chinese medicine constitution. Nomograms were drawn for both models. The Hosmer-Lemeshow goodness-of-fit test, calibration curve, receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated to evaluate the effectiveness of models 1 and 2. The improvement in prediction performance between Models 1 and 2 was assessed using Delong test, AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results:The study included 1 283 patients with diabetes mellitus, including 578 males and 705 females, aged (59.61 ± 14.09) years. The incidence of IAH among patients with diabetes mellitus was 20.50% (263/1283), with yang deficiency constitution being the most prevalent traditional Chinese medicine constitution type, at 47.53% (125/263). Multivariate analysis revealed that age, body mass index, course of diabetes, neurological hypoglycemia symptoms, hypoglycemia symptoms and severe hypoglycemia history were the influencing factors of Model 1 (all P<0.05); age, body mass index, neurological hypoglycemic symptoms, hypoglycemic symptoms, history of severe hypoglycemia, and traditional Chinese medicine constitution were the influencing factors of Model 2 (all P<0.05). The Hosmer-Lemeshow goodness-of-fit test showed a good fit of Model 2 [training set ( χ2=8.48, P>0.05), test set ( χ2=3.92, P>0.05)]. The Delong test results showed that the AUC for Model 2 was 0.96 for both the training and test sets, significantly higher than the AUCs of the 0.90 and 0.91 for Model 1 ( Z=-7.27, -3.70, both P<0.01). Furthermore, NRI was 0.66 ( 95%CI 0.53-0.79, P<0.01) and IDI was 0.02 (95% CI 0.01-0.03, P<0.05) for Model 2. Comparative analysis of clinical utility demonstrated that the net benefit of Model 2 for predicting IAH in patients with diabetes mellitus surpassed that of Model 1 across threshold probabilities ranging from 5% to 100%. Conclusions:The study constructed a nomogram prediction model included traditional Chinese medicine constitution with good predictive performance for IAH in patients with diabetes mellitus, and is of significant clinical value for identifying high-risk IAH populations.IAH patients mainly have a biased constitution, indicating that medical staff can reduce the incidence of IAH by improving the patients′ constitution.

Wound infections, secondary to acute and chronic wounds caused by mechanical, thermal, chemical factors, etc, not only delay wound healing but also may lead to mortality. The prolonged or inappropriate use of antibiotics lead to the growth of drug-resistant bacteria, resulting in refractory wound infections and poor treatment outcomes, which highlights the urgent need for effective therapies. Bacteriophages show great promise in treating drug-resistant wound infections due to their effectiveness in killing drug-resistant bacteria, their good resistance against bacterial biofilm (BBF) and their absence of cytotoxicity to eukaryotic cells. However, the mechanisms underlying bacteriophages′ resistance against BBF remain incompletely understood and their antibacterial efficacy for wound infections may also vary. For this purpose, the authors reviewed the biological characteristics and mechanisms of bacteriophages and their application in antibacterial therapies for wound infections, aiming to provide a reference for further research and application of bacteriophages in the treatment of wound infections.

Objective To explore the process and main behavior characteristics of behavioral characteristics of patients with recurrent hypoglycemia in the degeneracy of blood glucose management.Methods A mixed-method convergent design was used to collect data.From June 2022 to April 2023,382 patients with recurrent hypoglycemia were admitted to the endocrine department of a tertiary hospital in Jiangsu were recruited to score of ego depletion.K-means clustering was conducted to analyze the distribution characteristics of patients'characteristics in blood glucose management.At the same time,19 patients who were selected from the participants of the quantitative study were recruited to attend semi-structured interviews.Results Quantitative results analysis:the average score of blood glucose management loss was(49.20±6.58),and the average scores of cognitive control,behavioral control and emotional control were(17.90±4.12),(15.49±3.64)and(15.81±3.58),respectively.The results of cluster analysis showed that behavioral characteristics could be divided into 3 groups:a cognitive depletion group,an emotional depletion group and a self-control group.Qualitative data analysis:the process of deterioration of management in patients included 3 major themes,including the antecedents of ego depletion,the process of ego depletion and the aftereffects of ego depletion.Analysis of the mixed results showed that the status of ego depletion is serious;patients ignore the behavioral elements of active participation in blood glucose management,show many irrational decision-making behaviors,and the degradation behavior characteristics of patients'blood glucose management are different.Conclusion The degeneration behavior of blood glucose management was serious and affected by single or multiple factors,continuously consuming self-control energy and causing ego depletion.To promote the long-term maintenance of blood glucose management,priority should be given to take actions to enhance patients'perceptions,emotion and behaviors,help them learn about the possible blood glucose changes,improve their understanding and recognition of the value of scientific management.

Objective To analyze the predictive value of serum levels of procalcitonin(PCT)and cytokines on the prognosis of patients with COVID-19 at admission.Methods From November 2022 to February 2023,patients diagnosed with COVID-19 who were admitted to Beijing Chest Hospital were enrolled.Chemiluminescence was used to detect serum PCT levels,and flow microsphere array was used to detect serum cytokines IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17A,IL-17F,IL-22,TNF-α,TNF-β,IFN-γ level.ICU admission,mechanical ventilation and in-hospital death were defined as poor prognosis.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.Results A total of 176 patients with complete data were included,including 134 in the PCT-normal group and 42 in the PCT-elevated group,with a median age of 71.50 years and 71.59%males.Patients in the PCT elevated-group had significantly higher rates of ICU admission(38.41%vs.13.11%,P<0.05),mechanical ventilation(76.92%vs.24.59%,P<0.001)and in-hospital mortality(38.46%vs.6.56%,P<0.001)were significantly higher than those in the PCT-normal group.Serum levels of cytokines IL-6(7.40 pg/mL vs.4.78 pg/mL,P = 0.033 4)and IL-8(10.97 pg/mL vs.5.92 pg/mL,P<0.001)were significantly higher in patients with poor prognosis than in those with good prognosis.The area under the curve for PCT,IL-6,and IL-8 to predict poor prognosis in COVID-19 patients was 0.687,0.660,and 0.746,respectively;sensitivity was 52.78%,55.17%,and 72.41%,respectively;and specificity was 81.58%,74.19%,and 74.19%,respectively,as calculated from the ROC curve.When PCT,IL-6 and IL-8 jointly predict the prognosis of COVID-19 patients,the area under the curve is 0.764,the sensitivity is 70.00%,and the specificity is 80.00%.Conclusion Serum PCT and cytokines IL-6 and IL-8 could be used as predictive markers for poor prognosis in patients with COVID-19.