[The clinical features, survival analysis, and geriatric assessment of 85 patients with follicular lymphoma: a single-center study].

Objective: To retrospectively analyze the clinical characteristics and prognosis of 85 newly diagnosed patients with follicular lymphoma (FL), as well as the prognostic value of comprehensive geriatric assessment (CGA) in patients with FL aged ≥ 60 years old. Methods: The clinical data and prognosis of 85 newly diagnosed FL patients admitted from August 2011 to June 2022 were collected. The clinical features, laboratory indicators, therapeutic efficacy, survival and prognostic factors of patients were statistically analyzed, and the prognosis of patients was stratified using various geriatric assessment tools. Results: ① The patients with FL were mostly middle-aged and older, with a median age of 59 (20-87) years, including 41 patients (48.2%) aged ≥60 years. The ratio of male to female was 1∶1.36. Overall, 77.6% of the patients were diagnosed with Ann Arbor stage Ⅲ-Ⅳ, and 17 cases (20.0%) were accompanied by B symptoms. Bone marrow involvement was the most common (34.1%). ②Overall, 71 patients received immunochemotherapy. The overall response rate was 86.6%, and the complete recovery rate was 47.1% of 68 evaluated patients. Disease progression or relapse in the first 2 years was observed in 23.9% of the patient. Overall, 14.1% of the patients died during follow-up. ③Of the 56 patients receiving R-CHOP-like therapies, the 3-year and 5-year progression-free survival (PFS) rates were 85.2% and 72.8%, respectively, and the 3-year and 5-year overall survival (OS) rates were 95.9% and 88.8%, respectively. The univariate analysis showed that age ≥60 years old (HR=3.430, 95% CI 1.256-9.371, P=0.016), B symptoms (HR=5.030, 95% CI 1.903-13.294, P=0.016), Prognostic Nutritional Index (PNI) <45.25 (HR=3.478, 95% CI 1.299-9.310, P=0.013), Follicular Lymphoma International Prognostic Index (FLIPI) high-risk (HR=2.918, 95% CI 1.074-7.928, P=0.036), and PRIMA-prognostic index (PRIMA-PI) high-risk (HR=2.745, 95% CI 1.057-7.129, P=0.038) significantly predicted PFS. Moreover, age ≥60 years old and B symptoms were independent risk factors for PFS. Progression of disease within 24 months (POD24) significantly predicted OS in the univariate analysis. Conclusions: FL is more common among middle-aged and older women. Age, B symptoms, PNI score, FLIPI high-risk, PRIMA-PI high-risk, and POD24 influenced PFS and OS. The CGA can be used for treatment selection and risk prognostication in older patients with FL.

Genome-wide association study identifies multiple loci influencing duck serum biochemical indicators in the laying period.

1. Laying performance is an important economic trait in poultry. The blood is essential in transporting nutrients to the yolk and albumen and is necessary for egg formation.2. This study calculated the phenotypic relationships of duck egg quality, egg production efficiency and 22 serum parameters in the egg-laying stage. Using a variety of methodologies, a genome-wide association study (GWAS) was carried out to uncover the genetic foundations of the 22 serum biochemical markers of laying ducks.3. Spearman correlation coefficients between the egg production (226-329 per day) and the serum parameters were all weak, being less than 0.3. This analysis was done on 22 serum parameters, with total protein (TP), total triglycerides (TG), calcium (Ca) and phosphorous (P) having the highest correlation coefficients (r = 0.56-0.88). The coefficients for blood markers, such as total cholesterol (CHOL), total bilirubin (TBIL), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) varied from 0.70-0.94.4. Based on single-marker single-trait genome-wide analyses by a mixed linear model program of EMMAX, nine candidate genes were associated with enzyme traits (AST/ALT aspartate transaminase/glutamic-pyruvic transaminase, creatine kinase) and 19 candidate genes were associated with metabolism and protein-related serum parameters (glucose, total bile acid, uric acid (UA), albumin (ALB).5. The mvLMM (multivariate linear mixed model) of GEMMA software was used to carry out multiple trait integrated GWAS. Two candidate genes were found in the TP-TG-CA-P analysis and seven candidate genes in the CHOL_LDL-C_HDL-C_TBIL study. There was a high genetic correlation between the two groups.

[Construction of Tianjin occupational disease prevention and control ability assessment system based on Delphi method].

Objective: To establish a systematic, scientific, reasonable, feasible and reliable evaluation system for occupational disease prevention and control capability, in order to provide reference for occupational disease prevention and control work in Tianjin City. Methods: In August 2022, literature review was conducted to propose indicators for the evaluation system. Two rounds of anonymous consultation with occupational health experts were conducted using the Delphi method to form expert opinions. According to the boundary value method and expert opinions, eliminate, screen, and modify the evaluation system indicators to ultimately determine the system indicators. Use Cronbach's alpha to test the reliability of the system indicators and form a Tianjin occupational disease prevention and control capability evaluation system. Results: It showed that the effective response rates of the two rounds of consultation conducted by experts in this study were 92.3% and 100.0%, respectively. The expert authority coefficients were 0.84 and 0.82, respectively. The Kendall coordination coefficient was tested for differences, and the differences were statistically significant (P<0.05). The Tianjin occupational disease prevention and control capability evaluation system includes 7 primary indicators, 17 secondary indicators, and 54 tertiary indicators. The Cronbach's alpha of the primary, second, third level indicators and all indicators were 0.91, 0.98, 0.98, 0.98 (>0.7) . Conclusion: The preliminary evaluation system for occupational disease prevention and control capacity in Tianjin City has been established, providing a reference basis for the investigation of occupational disease prevention and control capacity in Tianjin City.

[A survey of performance of public health risk assessment in emergencies of institutions for disease control and prevention at different levels in China].

Objective: To understand the performance of public health risk assessment in emergencies of institutions for disease control and prevention at different levels in China, and provide suggestions for the improvement of public health risk assessment. Methods: A self-administered survey was conducted in professionals involved in public health risk assessment in emergencies from national institution, provincial institutions and some prefectural institutions for disease control and prevention (1-2 prefectural institutions were selected using convenience sampling in each province) between March and April in 2021. Results: A total of 79 institutions for disease control and prevention were investigated, including 1 national institution, 32 provincial institutions and 46 prefectural institutions. By April 2021, all the 79 institutions surveyed had conducted risk assessment of public health emergencies, in which 61 (77.2%) had established departments responsible for the public health risk assessment, i.e. emergency management office or communicable disease prevention and control office (section), and regular risk assessment mechanisms. The main sources of information for public health risk assessment were public health surveillance systems, including the National Notifiable Diseases Reporting System (100.0%) and Public Health Emergencies Management Information System (97.5%). Compared with the provincial institutions, the prefectural institutions were more likely to use specific disease surveillance systems (84.8% vs. 62.5%; χ2=5.09, P=0.024). The risk management recommendations made by 43 institutions for disease control and prevention (54.4%) after the risk assessment were accepted by the superior health administrative departments and used in epidemic prevention and control. Conclusions: Public health risk assessment in emergencies has been widely carried out by national, provincial and prefectural institutions for disease control and prevention in China. Specialized departments and mechanisms have been established, but the information sources are still confined to public health surveillance systems and the application of the risk assessment results still needs to be further improved.

Assessment of hesitancy to COVID-19 vaccine in patients with rheumatic arthritis.

OBJECTIVE: The COVID-19 pandemic caused by SARS-CoV-2 in 2019 has greatly impacted global health, leading to high morbidity and mortality rates. Rheumatoid arthritis (RA) patients have faced numerous challenges during the pandemic, including concerns about infection, limited medical resources, and shortages of medication. While vaccination is a crucial strategy against COVID-19, the reasons behind vaccine hesitancy (VH) among people with RA remain largely unexplored. SUBJECTS AND METHODS: We conducted a cross-sectional, single-arm study in China from July 18 to August 18, 2021. Using a self-administered questionnaire and a convenient sampling method, we investigated vaccine attitudes and VH among RA patients. The questionnaire developed by the investigators was validated by two public health experts and one senior rheumatologist. It covered sociodemographics, disease-related variables, vaccination attitudes, and willingness, etc. We employed Chi-squared and regression analyses to identify factors associated with VH toward COVID-19 vaccination. RESULTS: A total of 184 RA patients were enrolled in the survey, with 113 (61.41%) expressing unwillingness to be vaccinated. The Chi-squared test revealed significant differences in employment status and related systemic damage (p < 0.05). Among the unvaccinated RA patients, 71.68% believed COVID-19 vaccination might impact their disease. Binary and multicollinearity logistic regression analyses showed that the acute stage of RA (p < 0.001, OR = -3.165, 95% CI: 0.035 - 0.164) and fear of disease development caused by drug discontinuation during vaccination (p < 0.001, OR = -3.591, 95% CI: 0.005 - 0.157) were the restricting factors influencing the COVID-19 vaccine inoculation rate in RA patients. CONCLUSIONS: The COVID-19 vaccination rate among RA patients in China is low due to limited knowledge, misconceptions, and insufficient promotion. Boosting confidence and understanding of the vaccine's effectiveness and safety is crucial to improve vaccination success.

Association between Frailty Assessed Using Two Electronic Medical Record-Based Frailty Assessment Tools and Long-Term Adverse Prognosis in Older Critically Ill Survivors.

OBJECTIVES: Frailty has become an independent risk factor for adverse outcomes in critically ill patients. This study aimed to explore the predictive ability of two electronic medical record-based frailty assessment tools, the Hospital Frailty Risk Score (HFRS) and Frailty Index based on physiological and laboratory tests (FI-lab), for long-term adverse prognosis in older critically ill survivors. DESIGN: Retrospective observational study. SETTING AND PARTICIPANTS: 9,082 critically ill survivors aged ≥ 65 years. MEASUREMENTS: The HFRS and the 33-item FI-lab were constructed based on the published literature. Cox and logistic regression models assessed the association between frailty and 1-year mortality and post-discharge care needs. RESULTS: 2,586 patients died within 1 year of follow-up. In fully adjusted models, frailty assessed using both the HFRS (per point, hazard ratio [HR] 1.06, 95% confidential interval [CI] 1.05-1.06; intermediate frailty risk, HR 2.00, 95% CI 1.78-2.25; high frailty risk, HR 3.06, 95% CI 2.68-3.50) and FI-lab (per 0.01 points, HR 1.03, 95% CI 1.03-1.03; intermediate frailty risk, HR 1.59, 95% CI 1.44-1.76; high frailty risk, HR 2.30, 95% CI 2.06-2.57) was associated with mortality. Addition of frailty indicators improved the predictive validity of the Sequential Organ Failure Assessment score for mortality (HFRS alone ∆ C-index 0.034; FI-lab alone ∆ C-index 0.016; HFRS and FI-lab combined ∆ C-index 0.042). The HFRS but not the FI-lab was associated with higher probability of post-discharge care needs. CONCLUSION: Both the HFRS and FI-lab could independently predict 1-year mortality in older critically ill survivors. Adding the HFRS to the SOFA score model improved it more than adding the FI-lab. The greatest improvement was achieved when both frailty indicators were used together. These findings suggest that electronic medical record-based frailty assessment methods can be useful tools for predicting long-term outcomes in older critically ill patients.

[Multi-state Markov model analysis of disease outcomes and influencing factors in HIV infected individuals receiving antiretroviral therapy in Luzhou of Sichuan province, 2010-2021].

Objective: To construct a multi-state Markov model and analyze the disease outcomes and its influencing factors in HIV infected individuals receiving antiretroviral therapy. Methods: A retrospective cohort analysis was conducted in HIV infected individuals receiving antiretroviral therapy in Luzhou of Sichuan province from 2010 to 2021. The disease status was divided into CD4+T lymphocytes (CD4) counts >500 cells/µl, 350-500 cells/µl, 200-349 cells/µl, ≤199 cells/µl and death indicated by S1-S5 in turn. A reversible continuous-time discrete-state multi-state Markov model was constructed for the analysis of disease progression features. Results: A total of 7 542 HIV infected individuals receiving antiretroviral therapy were included, and the median age (Q1, Q3) was 53.4 (41.2, 64.5) years old. The transition intensity of S3→S2 was higher. During follow-up, the transition probability of S4→S5 increased gradually. Influencing factors analysis of disease outcomes in HIV infected individuals receiving antiretroviral therapy showed that compared with individuals 15-24 years old, the transition intensities of S2→S1, S3→S2 and S4→S3 were lower and the transition intensity of S3→S4 was higher in individuals ≥45 years old. Compared with single individuals, the transition intensities of S3→S2 and S4→S3 were higher and the transition intensities of S3→S4 and S4→S5 were lower in married individuals. The transition intensity of S1→S2 was higher in individuals with baseline CD4 counts ≤500 cells/µl than in individuals with baseline CD4 counts >500 cells/µl. The transition intensity of S3→S4 in individuals diagnosed during 2011-2015 was lower than that in individuals diagnosed in 2010 and before. Conclusions: HIV infected individuals receiving antiretroviral therapy tended to shift to the previous disease status, suggesting that antiretroviral therapy was conducive to immune reconstitution. Older age (≥45 years old), being married, low baseline CD4 counts and being diagnosed in 2010 and before were the risk factors for disease progression.

[Analysis on the rationality of input and output of occupational health funds in an iron and steel enterprise].

Objective: To analyzes the various occupational health investment and occupational health output of a steel enterprise, and propose a reasonable occupational health investment plan for this enterprise. Methods: In march 2016, various occupational health input and output data of various branches of an iron and steel company in 2015 were collected, and the efficiency of occupational health inputs and outputs of each branch was evaluated using data envelopment analysis (DEA) , and the branches with non-optimal efficiency were adjusted to propose a reasonable occupational health investment plan. Results: Among the branch plants investigated by this steel company, the occupational health input-output efficiency values of ironmaking north plant, power plant, hot rolling plant and stainless steel plant were 1, while the occupational health input-output efficiency of gas making plant, cold rolling plant, metallurgical furnace charge plant, coking plant, ironmaking south plant and long product plant were not the best, and the cold rolling plant has the lowest efficiency value of 0.759. For the cold rolling plant, only the parameters of acid rolling plant satisfy α=1 and s(-)=0, s(+)=0, while the remaining four workshops do not meet. After adjusting the inputs of each part according to the parameters, the occupational health output of the remaining four workshops can reach 1.7044, 2.0238, 1.3152 and 1.2136 times of the current workshop, respectively. Adjustment plans for other branch factories with unreasonable investment structures are also presented in the corresponding tables. Conclusion: The occupational health investment structure of the ironmaking south plant and other branches in this steel enterprise is unreasonable, and the adjustment using data envelopment analysis can maximize the benefits of its occupational health output.

[Assessment of cognitive function of the elderly by serum metabolites of brain-gut axis].

Objective: To investigate the feasibility of assessing cognitive function of the elderly by serum metabolites of brain-gut axis. Methods: Convenience sampling was used to select 100 and 60 participants from the healthy population cohort and microecological balance cohort of the longevity population in Guangxi, to constitute subset of healthy population and longevity population, respectively. A questionnaire was used to investigate the demographic characteristics of the subjects, 2-5 ml of fasting venous blood was collected from the subjects, and the serum untargeted metabolomics was determined by liquid chromatography tandem mass spectrometry. The biomarkers related to the brain-gut axis were collected through literature retrieval, and the results were intersected with the untargeted metabolites and annotated. Spearman correlation analysis was used to screen serum metabolites of brain-gut axis associated with aging, and multiple linear regression method was used to construct biological age model. The mini mental status examination was used to evaluate the cognitive function of longevity population subsets. The differences of biological age and chronological age of longevity population subsets with different cognitive function were compared. Results: The M (Q1, Q3) of subset of healthy population and longevity population were 64 (38, 72) and 97 (95, 99) years old, respectively, and there were 50 (50.0%) and 44 (73.3%) females, respectively. Nine serum metabolites of brain-gut axis were obtained by initial screening, which were propionic acid, glutamic acid, γ-aminobutyric acid (GABA), lactic acid, 5-hydroxytryptamine (5-HT), tryptophan, trimethylamine oxide, dopamine and canine urea. Spearman correlation analysis showed that glutamic acid and dopamine were positively correlated with aging (r values were 0.208 and 0.524, respectively, all P values<0.05), and tryptophan, 5-HT and GABA were negatively correlated with aging (r values were -0.308, -0.533 and -0.213, respectively, all P values<0.05). The biological age model was constructed as: y=49.81-1.18×10-5× GABA-1.82×10-4×5-HT+1.99×10-3×dopamine+1.65×10-6×glutamic acid -2.04×10-6×tryptophan+2.36×gender, where y was the biological age (years), the items on the right were the intercept item, the relative concentration of each metabolite, and gender (male=1, female=2). The coefficient of determination of model was 0.50 (P<0.001). The M (Q1, Q3) of the chronological age of the subset of longevity population with poor, moderate and good cognitive function were 97 (94, 100), 97 (93, 101) and 96 (94, 101) years old, respectively, and there was no statistical significance in pairwise comparison (all P values>0.05). The M (Q1, Q3) of the biological age of the subjects with better cognitive function was 51 (38, 54) years old, which was lower than that of the subjects with poor cognitive function [57 (47, 61)] (P=0.040). Conclusion: The biological age model can be constructed based on serum metabolites of brain-gut axis and used to evaluate the cognitive function of the elderly.

[Noninvasive assessment of the risk of esophageal variceal bleeding from noncirrhotic portal hypertension].

Objective: To verify Baveno VI criteria, Expanded-Baveno VI criteria, liver stiffness×spleen diameter-to-platelet ratio risk score (LSPS), and platelet count/spleen diameter ratio (PSR) in evaluating the severity value of esophageal varices (EV) in patients with non-cirrhotic portal hypertension (NCPH). Methods: 111 cases of NCPH and 204 cases of hepatitis B cirrhosis who met the diagnostic criteria were included in the study. NCPH included 70 cases of idiopathic non-cirrhotic portal hypertension (INCPH) and 41 cases of nontumoral portal vein thrombosis (PVT). According to the severity of EV on endoscopy, they were divided into the low-bleeding-risk group (no/mild EV) and the high-bleeding-risk group (moderate/severe EV). The diagnostic value of Baveno VI and Expanded-Baveno VI criteria was verified to evaluate the value of LSPS and PSR for EV bleeding risk severity in NCPH patients. The t-test or Mann-Whitney U test was used to compare the measurement data between groups. Comparisons between counting data groups were performed using either the χ2 test or the Fisher exact probability method. Results: Considering endoscopy was the gold standard for diagnosis, the missed diagnosis rates of low/high bleeding risk EVs in INCPH/PVT patients with Baveno VI and Expanded-Baveno VI criteria were 50.0%/30.0% and 53.8%/50.0%, respectively. There were no statistically significant differences in platelet count (PLT), spleen diameter, liver stiffness (LSM), LSPS, and PSR between low-bleeding-risk and high-bleeding-risk groups in INCPH patients, and the area under the receiver operating characteristic curve (AUC) of LSPS and PSR was 0.564 and 0.592, respectively (P=0.372 and 0.202, respectively). There were statistically significant differences in PLT, spleen diameter, LSPS, and PSR between the low and high-bleeding risk groups in PVT patients, and the AUCs of LSPS and PSR were 0.796 and 0.833 (P=0.003 and 0.001, respectively). In patients with hepatitis B cirrhosis, the Baveno VI and Expanded-Baveno VI criteria were used to verify the low bleeding risk EV, and the missed diagnosis rates were 0 and 5.4%, respectively. There were statistically significant differences in PLT, spleen diameter, LSM, LSPS and PSR between the low-bleeding-risk and high-bleeding-risk groups (P<0.001). LSPS and PSR AUC were 0.867 and 0.789, respectively (P<0.05). Conclusion: Baveno VI and Expanded-Baveno VI criteria have a high missed diagnosis rate for EVs with low bleeding risk in patients with INPCH and PVT, while LSPS and PSR have certain value in evaluating EV bleeding risk in PVT patients, which requires further clinical research.

[The prognostic effects of two comprehensive geriatric assessment methods in elderly patients with acute myeloid leukemia].

Objective: To evaluate the prognostic effects of two comprehensive geriatric assessment (CGA) methods in elderly patients with acute myeloid leukemia (AML). Methods: Ninety-seven patients with newly diagnosed AML at Beijing Hospital from August 2008 to December 2019 were included (≥60 years old). All patients were evaluated by two methods of CGA. One was IACA index proposed by Beijing Hospital, including instrumental activities of daily living (IADL), age, Charlson comorbidity index (CCI), albumin; the other was proposed by Italian FIL study group (FIL-CGA), including activities of daily living (ADL), IADL, age, and modified cumulative illness rating score for geriatrics (MCIRS-G). Results: Among 97 patients, 54 patients received standard chemotherapy, 16 with decitabine, 2 with targeted therapy and 25 with the best supportive therapy. The overall response rate (ORR) in 72 treated patients were 67.7%, 33.3% and 0 respectively in fit, unfit and frail groups according to IACA index (P=0.001). Based on FIL-CGA, the ORRs of fit, unfit and frail groups were 52.5%, 41.7% and 35.0% respectively (P=0.418). The 1-year OS rates of fit, unfit and frail groups regarding IACA method were 78.7%, 27.7% and 0 respectively (P<0.01). The 1-year OS rates of fit, unfit and frail groups regarding FIL-CGA method were 67.8%, 28.2% and 13.9% respectively (P<0.01), while no significant difference was seen between unfit group and frail group (P=0.111). The early death rates of fit, unfit and frail groups by IACA were 0, 6.0% and 28.6% respectively (P=0.006), while those by FIL-CGA were 2.3%, 5.9%, 13.9% respectively (P=0.123). Conclusion: Compared with FIL-CGA method, IACA predicts more effectively the treatment response, survival and early mortality in elderly patients with AML.

[Visualization analysis of relevant literature on occupational health risk assessment from 2010 to 2019].

Objective: To understand the research status of occupational health risk assessment in recent ten years. Methods: In April 2020, the literatures related to occupational health risk assessment published by CNKI and Web of Science core collection (WoSCC) databases from 2010 to 2019 were searched, and Excel 2016 software was used to organize the literature, CiteSpace 5.6.R2 software was used for visual analysis. Results: A total of 58 Chinese literatures and 407 English literatures were included. The authors of the high frequency posts were Zhang Meibian, and Alessandro Marinaccio, and the publishing institutions were mainly the National Institute for Occupational Health and Poison Control of Chinese Center for Disease Control and Prevention and Finnish Institute Occupational Health. The Chinese journal with the most articles was Chinese Journal of Industrial Hygiene and Occupational Diseases, and the English journal was Safety Science. Chinese high-frequency keywords mainly included risk assessment, occupational health, occupational exposure. English high-frequency keywords mainly included occupational health, risk, risk factor. The prominent words in Chinese literature were occupational health, coal dust, occupational hazards, occupational health and occupational disease hazards; Risk assessment, worker, exposure, heart disease, cardiovascular disease and so on were prominent words in English literature. Conclusion: The main research keywords in the field of occupational health risk assessment at home and abroad focus on occupational health and risk assessment, but the research direction and focus are slightly different.

Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study.

BACKGROUND: A subset of individuals with type 1 diabetes mellitus (T1DM) are predisposed to developing diabetic kidney disease (DKD), the most common cause globally of end-stage kidney disease (ESKD). Emerging evidence suggests epigenetic changes in DNA methylation may have a causal role in both T1DM and DKD. The aim of this exploratory investigation was to assess differences in blood-derived DNA methylation patterns between individuals with T1DM-ESKD and individuals with long-duration T1DM but no evidence of kidney disease upon repeated testing to identify potential blood-based biomarkers. Blood-derived DNA from individuals (107 cases, 253 controls and 14 experimental controls) were bisulphite treated before DNA methylation patterns from both groups were generated and analysed using Illumina's Infinium MethylationEPIC BeadChip arrays (n = 862,927 sites). Differentially methylated CpG sites (dmCpGs) were identified (false discovery rate adjusted p ≤ × 10-8 and fold change ± 2) by comparing methylation levels between ESKD cases and T1DM controls at single site resolution. Gene annotation and functionality was investigated to enrich and rank methylated regions associated with ESKD in T1DM. RESULTS: Top-ranked genes within which several dmCpGs were located and supported by functional data with methylation look-ups in other cohorts include: AFF3, ARID5B, CUX1, ELMO1, FKBP5, HDAC4, ITGAL, LY9, PIM1, RUNX3, SEPTIN9 and UPF3A. Top-ranked enrichment pathways included pathways in cancer, TGF-ß signalling and Th17 cell differentiation. CONCLUSIONS: Epigenetic alterations provide a dynamic link between an individual's genetic background and their environmental exposures. This robust evaluation of DNA methylation in carefully phenotyped individuals has identified biomarkers associated with ESKD, revealing several genes and implicated key pathways associated with ESKD in individuals with T1DM.

Comparative assessment of gut microbial composition and function in patients with Graves' disease and Graves' orbitopathy.

BACKGROUND: A previous study indicated that gut microbiota changed notably in Graves' orbitopathy (GO) patients as compared to controls. However, the characteristics of intestinal bacteria in Graves' disease (GD) and GO are unclear. OBJECTIVE: The present study aimed to identify specific intestinal bacteria of GD and GO, respectively. METHODS: The gut microbial communities of the fecal samples of 30 GD patients without GO, 33 GO subjects, and 32 healthy subjects were analyzed and compared by 16S rRNA gene sequencing. RESULTS: At the phylum level, the proportion of Deinococcus-Thermus and Chloroflexi was decreased significantly in GO patients as compared to GD. At the genus level, the proportion of Subdoligranulum and Bilophila was increased while that of Blautia, Anaerostipes, Dorea, Butyricicoccus, Romboutsia, Fusicatenibacter, unidentified_ Lachnospiraceae, unidentified_Clostridiales, Collineslla, Intestinibacter, and Phascolarctobacterium was decreased in the GO group as compared to the GD group. Random forest analysis was used for the identification of specific intestinal microbiota, and Deinococcus-Thermus, Cyanobacteria and Chloroflexi were ranked in the top ten according to their contributions to sample classification. Moreover, compared to the control, there were multiple gut bacterial enrichment metabolic pathways in GO and GD patients, including nucleotide metabolism, enzyme family, and energy metabolism. Compared to GO, the only enrichment metabolic pathway found in GD was the viral protein family. CONCLUSIONS: This study highlighted the significant differences in the intestinal microbiota and predictive functions of GD with GO, thereby providing new insights into the role of the gut bacteria that might contribute to the development of GO in GD patients.

Knowledge, attitudes and practices related to WG consumption among college students: a cross-sectional study in Chongqing, China.

OBJECTIVES: This work aimed to investigate WG (WG)-related knowledge, attitudes, practices (KAPs) and factors affecting WG consumption among college students in Chongqing, China. STUDY DESIGN: A cross-sectional study was performed among 2500 students from six universities using a self-administered questionnaire. METHODS: The chi-squared test and binary logistic regression were used for data analysis. RESULTS: Only 14.7% of the participants were aware of WG, 57.1% supported the consumption of WG, and only 8.5% consumed WG regularly in the last month. Participants with poor knowledge of WG were about 2 times more likely to not concern about chronic diseases (CDs) than concern about CDs (odds ratio [OR] = 2.241, 95% confidence interval [CI], 1.030-4.877). Women were less likely to have a poor attitude to WG compared with men (OR = 0.682, 95% CI, 0.529-0.878), whereas women were more likely to have a poor WG practice (OR = 2.335, 95% CI, 1.327-4.111). CONCLUSIONS: Although results showed low levels of WG knowledge and practices, this study still supports positive attitudes to acquire WG-related knowledge among college students in Chongqing, China.

[Development of a hyperkalemia risk assessment model for patients with chronic kidney disease].

Objective: To investigate risk factors for hyperkalemia among chronic kidney disease (CKD) patients and establish a risk assessment model for predicting hyperkalemia events. Methods: Clinical data of CKD patients (stage 3 to 5) hospitalized between May 2017 and June 2020 from 14 hospitals were retrospectively collected and divided into training dataset and validation dataset through balanced random sampling. Multivariate logistic regression analysis was used to analyze risk factors for hyperkalemia in CKD patients and the factors were scored. Receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was calculated. Meanwhile, the cut-off value with the best sensitivity and specificity were used to verify the accuracy of the model in validation dataset. Results: A total of 847 CKD patients were enrolled and further divided into training dataset (n=675) and validation dataset (n=172). There were 555 males and 292 females, with a mean age of (57.2±15.6) years. Multivariate logistic regression analysis showed that age, CKD stage, history of heart failure, history of serum potassium ≥5.0 mmol/L, diabetes, metabolic acidosis, and use of medications that increase serum potassium levels were risk factors for causing hyperkalemia in patients with CKD. Risk assessment model was established based on these risk factors. The AUC of the ROC curve was 0.809. Using 4 as the cut-off value, the sensitivity and specificity for predicting hyperkalemia events reached 87.1% and 57.0%, respectively. Conclusion: The model established in the current study can be used for predicting hyperkalemia events in clinical practices, which offers a new way to optimize serum potassium management in patients with CKD.

[Predictive value of vascular health indicators on newly cardiovascular events: Preliminary validation of Beijing vascular health stratification system].

OBJECTIVE: To explore the predictive value of carotid femoral artery pulse wave velocity (CF-PWV), carotid radial artery pulse wave velocity (CR-PWV), cardio-ankle vascular index (CAVI), and ankle brachial index (ABI) on coronary heart disease (CHD) and cerebral infarction (CI), and the preliminary validation of Beijing vascular health stratification (BVHS). METHODS: Subjects with at least 2 in-patient records were included into the study between 2010 and 2017 from Vascular Medicine Center of Peking University Shougang Hospital. Subjects with CHD or CI, and without data of vascular function at baseline were excluded. Eventually, 467 subjects free of CHD [cohort 1, mean age: (63.4±12.3) years, female 42.2%] and 658 subjects free of CI [cohort 2, mean age: (64.3±12.2) years, female 48.7%] at baseline were included. The first in-patient records were as the baseline data, the second in-patient records were as a following-up data. Cox proportional hazard regression was used to establish the predictive models of CHD or CI derived from BVHS by multivariable-adjusted analysis. RESULTS: The median follow-up time of cohort 1 and cohort 2 was 1.9 years and 2.1 years, respectively. During the follow-up, 164 first CHD events occurred in cohort 1 and 117 first CI events occurred in cohort 2. Four indicators were assessed as continuous variables simultaneously by multivariable-adjusted analysis. In cohort 1, CF-PWV, CR-PWV, ABI, and CAVI reached statistical significance in the multivariable-adjusted models (P<0.05). In cohort 2, only CAVI (P<0.05) was of statistical significance. In addition, the higher CF-PWV became a protector of CHD or CI (P<0.05). The prediction value of BVHS reached the statistical significance for CHD and CI in the unadjusted models (all P<0.05), however, BVHS could only predict the incidence of CHD (P<0.05), but not the incidence of CI (P>0.05) in the multivariable-adjusted models. CF-PWV, CR-PWV, ABI, and CAVI were associated factors of CHD independent of each other (P<0.05), only CAVI (P<0.05) was the risk factor of CI independent of the other three. CONCLUSION: The different vascular indicators might have different effect on CHD or CI. CAVI might be a stable predictor of both CHD and CI. Higher baseline CF-PWV was not necessarily a risk factor of CHD or CI because of proper vascular health management. BVHS was a potential factor for the prediction of CHD, and further research is needed to explore the prediction value for CI.

[Early detection and disease assessment of patients with novel coronavirus pneumonia].

In December 2019, the outbreak of novel coronavirus (2019-nCoV) in Wuhan, China, attracting attention worldwidely. The novel coronavirus has the characteristics of rapid transmission, atypical clinical symptoms, and easy to affect both lungs, leading to missed diagnosis and misdiagnosis, as well as difficult to detection and assessment at early stage. Fever, cough, myalgia, weakness, dyspnea and imagings may be helpful for the early detection of novel coronavirus pneumonia. At the same time, the rate of disease progression, fever, CT manifestations, hypoxia degree, age, basic diseases, and laboratory indicators can also be used to evaluate the severity of the novel coronavirus pneumonia.

[Early detection and disease assessment of patients with novel coronavirus pneumonia].

In December 2019, the outbreak of novel coronavirus (2019- nCoV) in wuhan, China, attracting attention worldwidely. The novel coronavirus has the characteristics of rapid transmission, atypical clinical symptoms, and easy to affect both lungs, leading to missed diagnosis and misdiagnosis, as well as difficult to detection and assessment at early stage. Fever, cough, myalgia, weakness, dyspnea and imagings may be helpful for the early detection of novel coronavirus pneumonia. At the same time, the rate of disease progression, fever, CT manifestations, hypoxia degree, age, basic diseases, and laboratory indicators can also be used to evaluate the severity of the novel coronavirus pneumonia.