ABSTRACT
BACKGROUND: Effectiveness of a non-physician community health-care provider-led intensive blood pressure intervention on cardiovascular disease has not been established. We aimed to test the effectiveness of such an intervention compared with usual care on risk of cardiovascular disease and all-cause death among individuals with hypertension. METHODS: In this open-label, blinded-endpoint, cluster-randomised trial, we recruited individuals aged at least 40 years with an untreated systolic blood pressure of at least 140 mm Hg or a diastolic blood pressure of at least 90 mm Hg (≥130 mm Hg and ≥80 mm Hg for those at high risk for cardiovascular disease or if currently taking antihypertensive medication). We randomly assigned (1:1) 326 villages to a non-physician community health-care provider-led intervention or usual care, stratified by provinces, counties, and townships. In the intervention group, trained non-physician community health-care providers initiated and titrated antihypertensive medications according to a simple stepped-care protocol to achieve a systolic blood pressure goal of less than 130 mm Hg and diastolic blood pressure goal of less than 80 mm Hg with supervision from primary care physicians. They also delivered discounted or free antihypertensive medications and health coaching for patients. The primary effectiveness outcome was a composite outcome of myocardial infarction, stroke, heart failure requiring hospitalisation, and cardiovascular disease death during the 36-month follow-up in the study participants. Safety was assessed every 6 months. This trial is registered with ClinicalTrials.gov, NCT03527719. FINDINGS: Between May 8 and Nov 28, 2018, we enrolled 163 villages per group with 33 995 participants. Over 36 months, the net group difference in systolic blood pressure reduction was -23·1 mm Hg (95% CI -24·4 to -21·9; p<0·0001) and in diastolic blood pressure reduction, it was -9·9 mm Hg (-10·6 to -9·3; p<0·0001). Fewer patients in the intervention group than the usual care group had a primary outcome (1·62% vs 2·40% per year; hazard ratio [HR] 0·67, 95% CI 0·61-0·73; p<0·0001). Secondary outcomes were also reduced in the intervention group: myocardial infarction (HR 0·77, 95% CI 0·60-0·98; p=0·037), stroke (0·66, 0·60-0·73; p<0·0001), heart failure (0·58, 0·42-0·81; p=0·0016), cardiovascular disease death (0·70, 0·58-0·83; p<0·0001), and all-cause death (0·85, 0·76-0·95; p=0·0037). The risk reduction of the primary outcome was consistent across subgroups of age, sex, education, antihypertensive medication use, and baseline cardiovascular disease risk. Hypotension was higher in the intervention than in the usual care group (1·75% vs 0·89%; p<0·0001). INTERPRETATION: The non-physician community health-care provider-led intensive blood pressure intervention is effective in reducing cardiovascular disease and death. FUNDING: The Ministry of Science and Technology of China and the Science and Technology Program of Liaoning Province, China.
Subject(s)
Cardiovascular Diseases , Heart Failure , Hypertension , Hypotension , Myocardial Infarction , Stroke , Humans , Cardiovascular Diseases/complications , Blood Pressure , Antihypertensive Agents/therapeutic use , Public Health , Hypertension/drug therapy , Hypertension/complications , Hypotension/complications , Stroke/drug therapy , Myocardial Infarction/drug therapy , Heart Failure/drug therapyABSTRACT
BACKGROUND: The role of genes associated with the cuproptosis cell signaling pathway in prognosis and immunotherapy in ovarian cancer (OC) has been extensively investigated. In this study, we aimed to explore these mechanisms and establish a prognostic model for patients with OC using bioinformatics techniques. METHODS: We obtained the single cell sequencing data of ovarian cancer from the Gene Expression Omnibus (GEO) database and preprocessed the data. We analyzed a variety of factors including cuproptosis cell signal score, transcription factors, tumorigenesis and progression signals, gene set variation analysis (GSVA) and intercellular communication. Differential gene analysis was performed between groups with high and low cuproptosis cell signal scores, as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Using bulk RNA sequencing data from The Cancer Genome Atlas, we used the least absolute shrinkage and selection operator (LASSO)-Cox algorithm to develop cuproptosis cell signaling pathword-related gene signatures and validated them with GEO ovarian cancer datasets. In addition, we analyzed the inherent rules of the genes involved in building the model using a variety of bioinformatics methods, including immune-related analyses and single nucleotide polymorphisms. Molecular docking is used to screen potential therapeutic drugs. To confirm the analysis results, we performed various wet experiments such as western blot, cell counting kit 8 (CCK8) and clonogenesis tests to verify the role of the Von Willebrand Factor (VWF) gene in two ovarian cancer cell lines. RESULTS: Based on single-cell data analysis, we found that endothelial cells and fibroblasts showed active substance synthesis and signaling pathway activation in OC, which further promoted immune cell suppression, cancer cell proliferation and metastasis. Ovarian cancer has a high tendency to metastasize, and cancer cells cooperate with other cells to promote disease progression. We developed a signature consisting of eight cuproptosis-related genes (CRGs) (MAGEF1, DNPH1, RARRES1, NBL1, IFI27, VWF, OLFML3 and IGFBP4) that predicted overall survival in patients with ovarian cancer. The validity of this model is verified in an external GEO validation set. We observed active infiltrating states of immune cells in both the high- and low-risk groups, although the specific cells, genes and pathways of activation differed. Gene mutation analysis revealed that TP53 is the most frequently mutated gene in ovarian cancer. We also predict small molecule drugs associated with CRGs and identify several potential candidates. VWF was identified as an oncogene in ovarian cancer, and the protein was expressed at significantly higher levels in tumor samples than in normal samples. The high-score model of the cuproptosis cell signaling pathway was associated with the sensitivity of OC patients to immunotherapy. CONCLUSIONS: Our study provides greater insight into the mechanisms of action of genes associated with the cuproptosis cell signaling pathway in ovarian cancer, highlighting potential targets for future therapeutic interventions.
Subject(s)
Endothelial Cells , Ovarian Neoplasms , Humans , Female , Molecular Docking Simulation , von Willebrand Factor , Immunotherapy , Ovarian Neoplasms/genetics , Ovarian Neoplasms/therapy , Apoptosis , Membrane Proteins , Glycoproteins , Intercellular Signaling Peptides and ProteinsABSTRACT
BACKGROUND: The 2018/2023 ESC/ESH Guidelines underlined a gap how baseline cardiovascular disease (CVD) risk predicted blood pressure (BP) lowering benefits. Further, 2017 ACC/AHA Guideline and 2021 WHO Guideline recommended implementation studies about intensive BP control. Now, to bridge these guideline gaps, we conducted a post hoc analysis to validate whether the baseline CVD risk influences the effectiveness of the intensive BP control strategy, which was designed by China Rural Hypertension Control Project (CRHCP). METHODS: This is a post hoc analysis of CRHCP, among which participants were enrolled except those having CVD history, over 80 years old, or missing data. Subjects were stratified into quartiles by baseline estimated CVD risk and then grouped into intervention and usual care group according to original assignment in CRHCP. Participants in the intervention group received an integrated, multi-faceted treatment strategy, executed by trained non-physician community health-care providers, aiming to achieve a BP target of < 130/80 mmHg. Cox proportional-hazards models were used to estimate the hazard ratios of outcomes for intervention in each quartile, while interaction effect between intervention and estimated CVD risk quartiles was additionally assessed. The primary outcome comprised myocardial infarction, stroke, hospitalization for heart failure, or CVD deaths. RESULTS: Significant lower rates of primary outcomes for intervention group compared with usual care for each estimated CVD risk quartile were reported. The hazard ratios (95% confidence interval) in the four quartiles (from Q1 to Q4) were 0.59 (0.40, 0.87), 0.54 (0.40, 0.72), 0.72 (0.57, 0.91) and 0.65 (0.53, 0.80), respectively (all Ps < 0.01). There's no significant difference of hazard ratios by intervention across risk quartiles (P for interaction = 0.370). Only the relative risk of hypotension, not symptomatic hypotension, was elevated in the intervention group among upper three quartiles. CONCLUSIONS: Intensive BP lowering strategy designed by CRHCP group was effective and safe in preventing cardiovascular events independent of baseline CVD risk. TRIAL REGISTRATION: The trial is registered with ClinicalTrials.gov, NCT03527719.
Subject(s)
Cardiovascular Diseases , Hypertension , Humans , Male , Female , China/epidemiology , Hypertension/drug therapy , Hypertension/epidemiology , Middle Aged , Aged , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/epidemiology , Blood Pressure/physiology , Rural Population , Antihypertensive Agents/therapeutic use , Treatment Outcome , Heart Disease Risk FactorsABSTRACT
BACKGROUND AND AIMS: This study aimed to assess the potential of neck circumference (NC) and neck-to-height ratio (NHR) as predictors of future cardiovascular disease (CVD) mortality in a general population from Northeastern China. METHODS: A multi-center prospective study was conducted in Northeastern China, involving 18, 796 participants. The associations between NC or NHR and the incidence of overall CVD mortality, stroke mortality, and coronary heart disease (CHD) mortality were examined using multivariate Cox regression models. Hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) were calculated. Reclassification analyses were conducted to determine the incremental predictive value of NC or NHR. RESULTS: NC was significantly associated with the risk of CVD mortality, independent of other anthropometric measurements for obesity. Individuals in the highest quartile of NC had a 1.83-fold (95% CI 1.29 to 2.61) and a 2.40-fold (95% CI 1.45 to 4.00) higher risk of overall CVD mortality and CHD mortality, respectively. Larger NC was significantly related to a heightened risk of ischemic stroke mortality, although no such association was observed with hemorrhagic stroke mortality. Furthermore, the risk of overall CVD mortality, stroke mortality, and CHD mortality increased by approximately 1.21 to 1.25 times per 1-SD change in NC. Similar findings were observed for NHR. The percentages of correct classification of overall CVD mortality improved by 12.1% and 16.3% after the addition of NC or NHR into established models, respectively. CONCLUSIONS: NC and NHR might be promising predictors of CVD mortality, with higher values indicating greater risk.
Subject(s)
Cardiovascular Diseases , Coronary Disease , Stroke , Humans , Cardiovascular Diseases/epidemiology , Prospective Studies , Risk FactorsABSTRACT
BACKGROUND: The association between the common carotid artery (CCA) diameter and cardiovascular disease (CVD) is recognized, but the precise nature of this link remains elusive. This study aimed to investigate the potential relationship between CCA diameter and the risk of CVD mortality in a large population in northeast China. METHODS: The current study included 5668 participants (mean age 58.9 ± 10.1 years) from a population-based study conducted in rural areas of northeast China between September 2017 and May 2018. Information on death was collected from baseline until July 31, 2022. The CCA inter-adventitial diameter was measured using ultrasound. Cox proportional-hazard models were employed to explore the relationship between the common carotid artery diameter and cardiovascular mortality. RESULTS: At baseline, the mean CCA diameter (mm) of subjects was 7.30 ± 0.99 and increased significantly with age, ranging from 6.65 ± 0.71 among people 40-49 years to 7.99 ± 1.04 among people ≥ 80 years. CCA diameter was significantly larger in males compared to females (7.51 ± 1.03 versus vs. 7.16 ± 0.94; P < 0.001). A total of 185 participants died of CVD during a median follow-up of 4.48 years. CCA diameters were divided into quartiles, and the highest quartile of carotid diameter (≥ 8.06 mm) had a 2.29 (95% confidence interval [CI]: 1.24, 4.22) times higher risk of CVD mortality than the lowest quartile (≤ 6.65 mm) (P < 0.01) in the fully adjusted model. Each increase in the diameter of the common carotid artery (per SD) raised the risk of cardiovascular death by 36% (hazard ratio [HR]: 1.36; 95% CI: 1.18, 1.57). The subgroup analysis results demonstrated that a per SD increase was associated with a 42% increased risk of CVD mortality in participants aged ≥ 64 years in the fully adjusted model (HR: 1.42; 95%CI: 1.21, 1.66). CONCLUSIONS: Our study indicates the possible incremental value of CCA diameter in optimizing the risk stratification of cardiovascular disease and provides essential insights into reducing the burden of cardiovascular disease.
Subject(s)
Cardiovascular Diseases , Female , Male , Humans , Middle Aged , Aged , Adult , Prospective Studies , Carotid Artery, Common/diagnostic imaging , China/epidemiologyABSTRACT
BACKGROUND: To evaluate the current prevalence of prediabetes in northeast China, and further determine the association between prediabetes alone or coexistent with hypertension and cardiovascular disease (CVD) mortality. METHODS: In the prospective study, 15,557 participants without diabetes among aged ≥40 years in northeast China, were followed for a median of 5.5 years. Following the American Diabetes Association, prediabetes was defined as fasting plasma glucose (FPG) range of 5.6-6.9 mmol/L or glycated hemoglobin (HbA1c) range of 5.7-6.4% in people without diabetes. RESULTS: The prevalence of prediabetes was 44.3% among population aged ≥40 years in northeast China. Prediabetes alone did not promote risk of CVD mortality. However, when the subgroups were stratified by hypertension, the CVD mortality risk in prediabetes plus hypertension subjects increased significantly compared with population without prediabetes and hypertension. Multivariate-adjusted hazard ratios for CVD mortality in prediabetes subgroups plus hypertension were 2.28 (95% CI: 1.50, 3.47) for those diagnosed by FPG < 5.6 mmol/L & HbA1c 5.7-6.4%, 2.18 (95% CI: 1.53, 3.10) for those diagnosed by FPG 5.6-6.0 mmol/L & HbA1c < 6.5% and 2.35 (95% CI: 1.65, 3.35) for those diagnosed by FPG 6.1-6.9 & HbA1c < 6.5% compared with the reference group. Moreover, the percentage of hypertension in prediabetes subjects was high (60.4%), but the awareness, treatment and control rates were far from satisfactory (45.3, 35.1 and 4.8%, respectively). CONCLUSIONS: The prevalence of prediabetes remains high in northeast China, and the CVD mortality was elevated significantly in prediabetes coexistent with hypertension. Considering the high percentage and low control rate of hypertension in prediabetes, strategies focused on HbA1c screening, FPG lowering and blood pressure management should be emphasized in northeast China.
Subject(s)
Cardiovascular Diseases , Diabetes Mellitus , Hypertension , Prediabetic State , Humans , Prediabetic State/diagnosis , Glycated Hemoglobin , Blood Glucose , Cohort Studies , Prospective Studies , Prevalence , Risk Factors , Diabetes Mellitus/epidemiology , Hypertension/epidemiology , Hypertension/complicationsABSTRACT
Ovarian cancer develops insidiously and is frequently diagnosed at advanced stages. Screening for ovarian cancer is an effective strategy for reducing mortality. This study aimed to investigate the molecular mechanisms underlying the development of ovarian cancer and identify novel tumor biomarkers for the diagnosis and prognosis of ovarian cancer. Three databases containing gene expression profiles specific to serous ovarian cancer (GSE18520, GSE12470, and GSE26712) were acquired. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were analyzed for the differentially expressed gene (DEGs). The protein-protein interaction (PPI) network was constructed using the STRING database. The pivotal genes in the PPI network were screened using the Cytoscape software. Survival curve analysis was performed using a Kaplan-Meier Plotter. The cancer genome atlas and Gene Expression Omnibus databases were used to find the relationship between Hub gene and serous ovarian cancer. PCR and immunohistochemistry were used to detect the expression of Hub gene in serous ovarian cancer tissues and cells. Downstream pathways of the candidate tumor marker genes were predicted using Gene Set Enrichment Analysis. In this study, 252 DEGs were screened for pathway enrichment. 20 Hub genes were identified. Survival analysis suggested that Aurka, Bub1b, Cenpf, Cks1b, Kif20a, Mad2l1, Racgap1, and Ube2c were associated with the survival of patients with serous ovarian cancer. MAD2L1 and BUB1B levels were significantly different in serous ovarian cancer at different stages. Finally, Mad2l1 was found to play a role in the cell cycle, oocyte meiosis, and ubiquitin-mediated proteolysis. Meanwhile, Bub1b may play a role in the cell cycle, ubiquitin-mediated proteolysis, and spliceosome processes. Mad2l1 and Bub1b could be used as markers to predict ovarian carcinogenesis and prognosis, providing candidate targets for the diagnosis and treatment of serous ovarian cancer.
ABSTRACT
BACKGROUND: The impact of consuming soybean and its products on cardiovascular events (CVEs), cardiovascular mortality, and all-cause mortality remains unclear. This study aimed to examine the prospective association of soybean consumption with CVEs, cardiovascular mortality, and all-cause mortality among the elderly population in rural China. METHODS: The Northeast China Rural Cardiovascular Health Study included 2477 elderly individuals (mean age 67 ± 6 years, 49.97% men) in the initial phase of the study from 2012 to 2013, with a follow-up period between 2015 and 2017. Soybean consumption was categorized as follows: low-frequency consumption: rare consumption; moderate-frequency consumption: two to three times/week; high-frequency consumption: ≥ four times/week. Cox proportional hazard analysis assessed the potential relationship of soybean consumption with CVEs, cardiovascular mortality, and all-cause mortality. RESULTS: The prevalence of soybean and its product consumption was as follows: 38.3% for low-frequency consumption (43.8% for women; 32.8% for men), 49.7% for moderate-frequency consumption (45.8% for women; 53.7% for men), and 11.9% for high-frequency consumption (10.4% for women; 13.5% for men). After adjusting for possible confounders, Cox proportional hazard analysis revealed that the frequency of soybean consumption was an effective predictor of CVEs [Hazard ratio (HR) high (95% CI): 0.555 (0.348, 0.883)], stroke [HR moderate (95% CI): 0.672 (0.494, 0.913); HR high (95% CI): 0.483 (0.276, 0.842)], and all-cause mortality [HR high (95% CI): 0.540 (0.310, 0.942)] in the overall older population. High-frequency consumption of soybean [HR (95% CI): 0.467 (0.225, 0.968)] and moderate-frequency consumption [HR (95% CI): 0.458 (0.270, 0.779)] were associated with stroke events in older men and women, respectively. In addition, high-frequency consumption of soybean [HR (95% CI): 0.437 (0.197, 0.968)] decreased the risk of CVEs in older women. CONCLUSION: Soybean consumption is closely associated with CVEs and all-cause mortality in older individuals residing in rural areas, with a significant gender discrepancy in this relationship. These findings provide new insights into the impact of soybean consumption on cardiovascular well-being in the elderly rural population, thus enhancing our understanding of this field of interest.
Subject(s)
Rural Population , Stroke , Male , Humans , Aged , Female , Glycine max , Prospective Studies , China/epidemiologyABSTRACT
BACKGROUND: Most adult patients with depression complain about sleep symptoms, including insufficient and excessive sleep. However, previous studies investigating the impact of sleep duration on depression have yielded conflicting results. Therefore, this study aimed to analyse the link between depression and sleep duration, daytime napping, and snoring among rural Chinese adults. METHODS: A cross-sectional study was conducted with 9104 individuals. Interviews were conducted with the participants regarding their sleep patterns and their daytime napping routines. The individuals were then assessed for depression using the Patient Health Questionnaire-9. The risk of depression was assessed using a multifactor binary logistic regression analysis. A generalized additive model was used to evaluate the nonlinear relationship between depression and sleep duration/nap time. Additionally, subgroup analysis was conducted to investigate the correlation between sleep duration, daytime napping, snoring, and depression. RESULTS: Less than 6 h or more than 8 h of nighttime sleep, daytime napping for more than 1 h, and snoring were all significantly associated with an increased risk of depression. A U-shaped relationship was found between the duration of nighttime sleep and depression. In addition, we found that the nighttime duration of sleep, daytime naps, and snoring had a significant combined effect on the risk of depression. The subgroup analysis further revealed that lack of sleep at night significantly increased the risk of depression in all subgroups. However, snoring and excessive nighttime sleep and napping were only associated with the risk of depression in some subgroups. CONCLUSIONS: Lack of nighttime sleep (short sleep duration), excessive sleep, and napping for more than one hour during the day were associated with a high risk of depression and had a combined effect with snoring.
Subject(s)
Disorders of Excessive Somnolence , Sleep Duration , Adult , Humans , Cross-Sectional Studies , Snoring/epidemiology , Depression/epidemiology , Sleep , China/epidemiologyABSTRACT
BACKGROUND: This study aimed to establish a clinically useful nomogram to evaluate the probability of hypertension onset in the Chinese population.MethodsâandâResults: A prospective cohort study was conducted in 2012-2013 and followed up in 2015 to identify new-onset hypertension in 4,123 participants. The dataset was divided into development (n=2,748) and verification (n=1,375) cohorts. After screening risk factors by lasso regression, a multivariate Cox regression risk model and nomogram were established. Among the 4,123 participants, 818 (19.8%) developed hypertension. The model identified 10 risk factors: age, waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, high pulse rate, history of diabetes, family history of hypertension and stroke, intake frequency of bean products, and intensity of physical labor. The C-indices of the model in the development and validation cohorts were 0.744 and 0.768, respectively. After the inclusion of serum calcium and magnesium concentrations, the C-indices in the development and validation cohorts were 0.764 and 0.791, respectively, with areas under the curve for the updated model of 0.907 and 0.917, respectively. The calibration curve showed that the nomogram accurately predicted the probability of hypertension. The updated nomogram was clinically beneficial across thresholds of 10-60%. CONCLUSIONS: The newly developed nomogram has good predictive ability and may effectively assess hypertension risk in high-risk rural areas in China.
Subject(s)
Hypertension , Nomograms , China/epidemiology , Follow-Up Studies , Humans , Hypertension/diagnosis , Hypertension/epidemiology , Prognosis , Prospective StudiesABSTRACT
BACKGROUND: The utility of echocardiographic left ventricular (LV) geometry in the prediction of stroke/coronary heart disease (CHD) and all-cause mortality is not well characterized. This study aimed to evaluate the overall and sex-specific prognostic value of different geometric patterns on the incidence of stroke/CHD and all-cause mortality in a Chinese population-based cohort. METHODS: We conducted a prospective study in the general population in Northeast China, and a total of 9940 participants aged ≥ 35 years underwent echocardiography for LV geometry and were successfully followed up for incident stroke/CHD and all-cause death. Cox proportional hazards models were utilized to estimate the association of baseline LV geometry with adverse outcomes. RESULTS: Over a median follow-up of 4.66 years, abnormal LV geometric patterns had increased crude incident rates of stroke/CHD and all-cause mortality compared with normal geometry in overall population and each sex group (all P < 0.05). Multivariable Cox analysis reported that LV concentric and eccentric hypertrophy were associated with incident stroke/CHD (concentric hypertrophy: hazard ratio (HR) = 1.39, 95% confidence interval (CI) = 1.04-1.86; eccentric hypertrophy: HR = 1.42, 95% CI = 1.11-1.82) and all-cause mortality (concentric hypertrophy: HR = 1.50, 95% CI = 1.07-2.12; eccentric hypertrophy: HR = 1.58, 95% CI = 1.19-2.10), and LV concentric remodeling was related to stroke/CHD incidence (HR = 1.42, 95% CI = 1.09-1.84) in total population compared to normal geometry after the adjustment for potential confounders. In men, a significant increase was observed from LV eccentric hypertrophy for incident stroke/CHD, whereas in women, LV concentric hypertrophy was associated with elevated incidence of both stroke/CHD and all-cause death, and eccentric hypertrophy was correlated with increased all-cause mortality (all P < 0.05). CONCLUSIONS: Our prospective cohort supports that abnormal LV geometry by echocardiography has a prognostic significance for incident stroke/CHD and all-cause mortality, implying that early detection and intervention of LV structural remodeling in rural China are urgently needed to prevent adverse outcomes.
Subject(s)
Coronary Disease/epidemiology , Echocardiography, Doppler , Hypertrophy, Left Ventricular/diagnostic imaging , Rural Health , Stroke/epidemiology , Ventricular Function, Left , Ventricular Remodeling , Adult , Aged , Cause of Death , China/epidemiology , Coronary Disease/diagnosis , Coronary Disease/mortality , Female , Humans , Hypertrophy, Left Ventricular/mortality , Hypertrophy, Left Ventricular/physiopathology , Incidence , Male , Middle Aged , Predictive Value of Tests , Prognosis , Prospective Studies , Risk Assessment , Risk Factors , Sex Factors , Stroke/diagnosis , Stroke/mortalityABSTRACT
BACKGROUND: This study aimed to estimate whether metabolic syndrome (MetS) and its components could be used to predict cardiovascular disease (CVD) in a longitudinal analysis in a rural elderly Chinese population. METHOD: At baseline during 2012-2013, a total of 2486 elderly from rural Chinese were enrolled and were followed up during 2015-2017. Stroke and coronary heart disease (CHD) were included in CVD and were diagnosed by clinicians. The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and the International Diabetes Federation (IDF) criteria were used to define MetS separately. RESULT: Hazard ratios adjusting for CHD, stroke and CVD in those with MetS using the NCEP ATP III criteria in females were 1.27 (95 % CI 0.73, 2.21), 1.54 (95 % CI 0.99, 2.40) and 1.45 (95 % CI 1.00, 2.10), respectively; 1.33 (95 % CI 0.77, 2.32), 1.44 (95 % CI 0.92, 2.25) and 1.36 (95 % CI 0.94, 1.97), respectively, with the AHA/NHLBI criteria; and 1.10 (95 % CI 0.89,1.36), 1.62 (95 % CI 1.03, 2.55) and 1.36 (95 % CI 0.93, 1.97), respectively, with the IDF criteria. Additionally, abdominal obesity using the AHA/NHLBI criteria was significantly associated with the incidence of stroke (HR: 1.60; 95 % CI 1.01, 2.52). However, among rural elderly males, neither MetS nor its components predicted new-onset CVD. CONCLUSIONS: MetS is correlated with high incidence of CVD among rural elderly female, and only using the NCEP ATP III criteria to define MetS could make the incidence of CVD obvious difference. In order to reduce rural elderly CVD, effective measures to prevent, diagnose, and treat MetS should be enacted in a timely manner, especially among females.
Subject(s)
Cardiovascular Diseases , Metabolic Syndrome , Aged , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , China/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Metabolic Syndrome/diagnosis , Metabolic Syndrome/epidemiology , Prevalence , Risk FactorsABSTRACT
BACKGROUND: There was little known on how the interaction effect between obesity and current smoking affected the incidence of hypertension. The aim of this study was to investigate how body mass index (BMI) modified the effect of current smoking on the incidence of hypertension. METHODS: Data were obtained from the China Health and Nutrition Survey (CHNS). According to the WHO recommendations for Chinese people, the normal weight, overweight, and obesity were defined using the BMI cutoff values 18.5 kg/m2, 23.0 kg/m2, and 27.5 kg/m, respectively. Current smokers were defined as having smoked at least 100 cigarettes or electronic cigarettes, 20 cigars, or 20 tobacco pipes and other type of tobacco in the last 30 days preceding the survey. Hypertension was defined as systolic blood pressure (SBP)/ diastolic blood pressure (DBP) ≥ 140/90 mmHg, use of anti-hypertensive medications, or a self-reported diagnosis. RESULTS: This study included 12,900 subjects. There were interaction effects between obesity and current smoking in females (P = 0.030) and the 50-59 years group (P = 0.049). Current smoking was a significant predictor of incident hypertension only in the total and female populations with normal weight (HR: 1.119 and 1.274; HR 95% CI: 1.013-1.236 and 1.143-1.415; and P = 0.027 and 0.040, respectively). Stratified by age, current smoking affected the development of hypertension only in the 50-59 years subjects with the normal weight (HR: 1.356; HR 95% CI: 1.084-1.697; and P = 0.008). CONCLUSIONS: Current smoking was a significant predictor of incident hypertension only in the female and middle-age populations with normal weight but not in the overweight and obesity as well as the younger and elder populations.
Subject(s)
Body Mass Index , Hypertension/epidemiology , Obesity/epidemiology , Smokers/statistics & numerical data , Smoking/epidemiology , Adult , Aged , China/epidemiology , Cohort Studies , Female , Health Surveys , Humans , Incidence , Male , Middle Aged , Risk FactorsABSTRACT
Many studies have shown the prognostic significance of glycated hemoglobin (HbA1c) for overall coronary artery disease (CAD). But less is known about the role that HbA1c played in the prognosis of patients diagnosed with ST-segment elevation myocardial infarction (STEMI). Results from previous studies were controversial. Therefore, a meta-analysis was conducted to investigate whether admission HbA1c level was a predictor of short- and long-term mortality rates among patients diagnosed with STEMI. Relevant literatures were retrieved from the electronic databases up to March 2016. Reference lists were hand searched to identify eligible studies. Articles were included if they provided sufficient information for the calculation of pooled relative risk (RR) and its corresponding 95% confidence interval (CI). Finally, we got 19 prospective studies involving a total of 35,994 STEMI patients to evaluate the associations between HbA1c level and their in-hospital, 30-day and long-term mortality. Among STEMI patients, HbA1c level was not significantly associated with in-hospital mortality (RR 1.20, 95% CI 0.95-1.53, p=0.13). However, elevated HbA1c level was positively associated with risk of 30-day and long-term mortality (for 30-day mortality, RR 1.25, 95% CI 1.03-1.52, p=0.02; for long-term mortality, RR 1.45, 95% CI 1.20-1.76, p<0.01). In conclusion, our findings suggested elevated HbA1c level among STEMI patients was an indicator of 1.25-fold 30-day mortality risk and 1.45-fold long-term mortality risk, respectively. STEMI patients with high HbA1c level should have their chronic glucose dysregulation under intensive control.
Subject(s)
Glycated Hemoglobin/metabolism , ST Elevation Myocardial Infarction/diagnosis , ST Elevation Myocardial Infarction/metabolism , Humans , PrognosisABSTRACT
BACKGROUND AND AIMS: Although previous studies have considered rumination a possible mediator of the relationship between mental health and problematic smartphone use (PSU), few prospective studies have been conducted, limiting the ability to draw causal inferences. Therefore, the current study aimed to examine the mediating role of rumination on the depression-PSU relationship using three-wave cross-lagged panel models (CLPMs) with longitudinal data. METHODS: A sample of 321 medical students from China Medical University completed three waves of online measures of depressive symptoms, rumination, and PSU. The three-wave CLPMs were constructed to examine the mediating role of rumination. RESULTS: Our results demonstrated that depressive symptoms were bidirectionally related to rumination, and that rumination was bidirectionally related to PSU. The reciprocal CLPM suggested that depressive symptoms at Time 1 positively affected PSU at Time 3 via rumination at Time 2. The indirect effect was significant, with a path coefficient of 0.023 (95% CI: 0.004 to 0.042). Conversely, PSU at Time 1 positively affected depressive symptoms at Time 3 via rumination at Time 2, with a path coefficient of 0.015 (95% CI: 0.001 to 0.029). DISCUSSION AND CONCLUSIONS: This prospective study provided empirical evidence of the influence of depression on PSU and vice versa among Chinese university students. It also highlighted the importance of rumination in the depression-PSU relationship, revealing a bidirectional mediating role of rumination. Additional large-scale multi-wave longitudinal studies are needed to verify our results.
Subject(s)
Depression , Students, Medical , Humans , Depression/psychology , Prospective Studies , Smartphone , UniversitiesABSTRACT
BACKGROUND: Metabolic syndrome (MetS) includes a group of metabolic irregularities, including insulin resistance (IR), atherogenic dyslipidemia, central obesity, and hypertension. Consistent evidence supports IR and ongoing low-grade inflammation as the main contributors to MetS pathogenesis. However, the association between the triglyceride-glucose (TyG) index and mortality in people with MetS remains uncertain. The objective of this study was to examine the correlation between the baseline TyG index and all-cause and cardiovascular (CV) mortality in rural Northeast Chinese individuals with MetS. METHODS: For the Northeast China Rural Cardiovascular Health Study, 3918 participants (mean age, 55 ± 10; 62.4% women) with MetS at baseline were enrolled in 2012-2013 and followed up from 2015 to 2017. The TyG index was calculated using the equation TyG index = ln [fasting TG (mg/dL) × fasting glucose (mg/dL)/2] and subdivided into tertiles [Q1(< 8.92); Q2 (8.92-9.36); Q3 (≥ 9.36)]. Multivariate Cox proportional hazards models were developed to examine the correlations between mortality and the baseline TyG index. RESULTS: During a median of 4.66 years of follow-up, 196 (5.0%) all-cause deaths and 108 (2.8%) CV disease-related deaths occurred. The incidence of all-cause mortality was significantly different among TyG index tertiles of the overall population (P = 0.045). Kaplan-Meier analysis demonstrated a significantly increased risk of all-cause mortality in rural Chinese patients with a higher TyG index (log-rank P < 0.05). After adjusting for possible confounders, Cox proportional hazard analysis revealed that the TyG index could effectively predict all-cause mortality (HR for the third vs. first tertile of TyG was 1.441 [95% confidence interval, 1.009-2.059]), but not CV mortality, in rural Chinese patients with MetS. CONCLUSIONS: The TyG index is an effective predictor of all-cause mortality in rural Chinese patients with MetS. This indicates that the TyG index may be useful for identifying rural Chinese individuals with MetS at a high risk of death.
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BACKGROUND: To identify key genes associated with cisplatin resistance in ovarian cancer, a comprehensive analysis was conducted on three datasets from the GEO database and through experimental validation. METHODS: Gene expression profiles were retrieved from the GEO database. DEGs were identified by comparing gene expression profiles between cisplatin-sensitive and resistant ovarian cancer cell lines. The identified genes were further subjected to GO, KEGG, and PPI network analysis. Potential inhibitors of key genes were identified through methods such as LibDock nuclear molecular docking. In vitro assays and RT-qPCR were performed to assess the expression levels of key genes in ovarian cancer cell lines. The sensitivity of cells to chemotherapy and proliferation of key gene knockout cells were evaluated through CCK8 and Clonogenic assays. RESULTS: Results showed that 12 genes influenced the chemosensitivity of the ovarian cancer cell line SKOV3, and 9 genes were associated with the prognosis and survival outcomes of ovarian cancer patients. RT-qPCR results revealed NDRG1, CYBRD1, MT2A, CNIH3, DPYSL3, and CARMIL1 were upregulated, whereas ERBB4, ANK3, B2M, LRRTM4, EYA4, and SLIT2 were downregulated in cisplatin-resistant cell lines. NDRG1, CYBRD1, and DPYSL3 knock-down significantly inhibited the proliferation of cisplatin-resistant cell line SKOV3. Finally, photofrin, a small-molecule compound targeting CYBRD1, was identified. CONCLUSION: This study reveals changes in the expression level of some genes associated with cisplatin-resistant ovarian cancer. In addition, a new small molecule compound was identified for the treatment of cisplatin-resistant ovarian cancer.
Subject(s)
Antineoplastic Agents , Cisplatin , Computational Biology , Drug Resistance, Neoplasm , Ovarian Neoplasms , Cisplatin/pharmacology , Cisplatin/therapeutic use , Female , Humans , Ovarian Neoplasms/genetics , Ovarian Neoplasms/drug therapy , Ovarian Neoplasms/pathology , Drug Resistance, Neoplasm/genetics , Computational Biology/methods , Cell Line, Tumor , Antineoplastic Agents/pharmacology , Antineoplastic Agents/therapeutic use , Gene Expression Regulation, Neoplastic/drug effects , Gene Expression Profiling/methods , Protein Interaction Maps , Cell Proliferation/drug effectsABSTRACT
Background and objectives: Cumulative evidence confirms that mild renal dysfunction (MRD) is correlated with many cardiovascular risk factors and increases cardiovascular morbidity and mortality. The purpose of this study was to establish an effective nomogram for predicting the risk of MRD in the rural population of Northeast China. Methods: We analyzed the reports of 4944 subjects from the Northeast China Rural Cardiovascular Health Study (NCRCHS). All the participants completed the questionnaires, anthropometric measurements, and blood tests during the baseline study (2012-2013) and the follow-up study during 2015-2017 (an average of 4.6 years). The Chronic Kidney Disease Epidemiology (CKD-EPI) equation was used to calculate the estimated glomerular filtration rate (eGFR), and eGFR in the range of 60-90 mL/min/1.73m2 was defined as MRD. Results: The study revealed that a total of 889 subjects (18.0%) had MRD. Multivariate logistic analysis showed that annual income, abdominal obesity, hypertension, hyperglycemia, and frequent tea consumption were the independent risk factors (P < 0.05) for MRD. Thereafter, a nomogram with an area under the receiver operating characteristic curve (AUC) of 0.705 was constructed to accurately predict MRD. The calibration plot also showed an excellent consistency between the probability of prediction and observation. Conclusion: We constructed a nomogram based on epidemiological data, which could provide an individual prediction of MRD with good accuracy.
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Connector enhancer of kinase suppressor of Ras 2 (CNKSR2) is a scaffold protein that mediates mitogen-activated protein kinase pathways. However, the molecular function of CNKSR2 in cervical squamous cell carcinoma (CESC) remains unknown. This study aimed to characterize the role of CNKSR2 in patients with CESC. Immunohistochemistry revealed that the expression of CNKSR2 in CESCs is relatively low compared with that in normal cells. We also explored the gene expression profile of high- and low-CNKSR2 expression in patients with cervical cancer. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the expression of CNKSR2 was upregulated in synapse assembly, which was coordinately regulated using the cAMP signaling pathway and calcium signaling pathway. The correlation between CNKSR2 and cancer immune cell infiltration was investigated via single-sample gene set enrichment analysis (ssGSEA). High CNKSR2 expression was associated with better overall survival (OS) and disease-free survival (DFS). Interestingly, high CNKSR2 expression was a good predictor of the survival outcome in cervical cancer patients. Additionally, CNKSR2 expression was strongly correlated with diverse immune cells in CESCs, including NK cells and T cells. These findings suggest that CNKSR2 is correlated with prognosis and immune infiltration, laying the foundation for future studies on the functional role of CNKSR2 in CESC.
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Electrocardiography (ECG) is an accessible diagnostic tool for screening patients with hypertensive left ventricular hypertrophy (LVH). However, its diagnostic sensitivity is low, with a high probability of false-negatives. Thus, this study aimed to establish a clinically useful nomogram to supplement the assessment of LVH in patients with hypertension and without ECG-LVH based on Cornell product criteria (low-risk hypertensive population). A cross-sectional dataset was used for model construction and divided into development (n = 2906) and verification (n = 1447) datasets. A multivariable logistic regression risk model and nomogram were developed after screening for risk factors. Of the 4353 low-risk hypertensive patients, 673 (15.4%) had LVH diagnosed by echocardiography (Echo-LVH). Eleven risk factors were identified: hypertension awareness, duration of hypertension, age, sex, high waist-hip ratio, education level, tea consumption, hypochloremia, and other ECG-LVH diagnostic criteria (including Sokolow-Lyon, Sokolow-Lyon products, and Peguero-Lo Presti). For the development and validation datasets, the areas under the curve were 0.724 (sensitivity = 0.606) and 0.700 (sensitivity = 0.663), respectively. After including blood pressure, the areas under the curve were 0.735 (sensitivity = 0.734) and 0.716 (sensitivity = 0.718), respectively. This novel nomogram had a good predictive ability and may be used to assess the Echo-LVH risk in patients with hypertension and without ECG-LVH based on Cornell product criteria.