ABSTRACT
PURPOSE: Early detection and management of coronary heart disease (CHD) are embedded into many community health service and primary care practices in western countries. The Framingham CHD risk score has been used to predict CHD and mortality for nearly 20 years, and it has predicted CHD event risk accurately in multiethnic populations. The aim of this study was to access the effect of a 6-month community-based intervention on CHD risk in individuals at high risk. METHODS: A randomized controlled trial of individuals with a high 10-year CHD risk were recruited from two communities in China. Individuals in the intervention group (n = 53) received a 3-month group education and a 3-month coaching session. Physical examination and self-report questionnaires were used to collect both pre- and postintervention data on blood pressure, glucose, cholesterol, body mass index, smoking, depression, and health-related quality of life (HRQoL). RESULTS: A total of 102 participants (85.0%) completed the 6-month study. Compared with the usual care group, the intervention group had a 5 mmHg greater reduction in systolic blood pressure (t = 2.01, p = .047), larger declines in glucose (t = −2.49, p = .015), cholesterol (t = −2.44, p = .017), body mass index (t = −2.58, p = .011), and depression (t = −2.05, p = .043), and better reports of HRQoL (t = 3.36, p = .001). No significant group differences in smoking behaviors were reported. CONCLUSION: A 6-month community-based intervention in a CHD high-risk population improved disease-related risk factors, depression, and HRQoL. Results provide preliminary evidence for primary prevention of cardiovascular disease risk in a community high-risk population.
Subject(s)
Blood Pressure , Body Mass Index , Cardiovascular Diseases , China , Cholesterol , Community Health Services , Coronary Disease , Depression , Education , Glucose , Mortality , Physical Examination , Primary Health Care , Primary Prevention , Quality of Life , Risk Factors , Smoke , SmokingABSTRACT
Objective· To establish an integrative method for the gene-panel sequencing data to automatically complete quality control, detection of gene mutation and visualization. Methods · Integrate several methods, e.g. FastQC, preprocessing and information of sequences (Prinseq) to develop an R package that can be used to visualize and control the quality of the raw sequencing reads and final mutations result. The sequencing reads mapped against to the reference genome using Burrows-Wheeler Alignment Tool (BWA)/Torrent Mapping Alignment Program (TMAP). Lofreq, Varscan2, the Genome Analysis Toolkit (GATK) and Torrent Variant Caller (TVC) were used to detect gene mutation and get the variant call format (VCF) format file. Annotate the gene mutation sites using Annovar. Results · Thirty-six cases of acute myeloid leukemia sequencing from Ion Torrent Personal Genome Machine (PGM) platform were passed by this analysis tool.Ten mutation sites of 2 demo data were found in DNMT3A,TET2,JAK2,PHF6,ASXL1,NPM1 and CEBPA which were validated by sanger sequencing. Conclusion · The analysis method that integrated and developed several tools for gene-panel sequencing data analysis can accomplish the gene-panel sequencing data analysis effectively. Besides, it can reduce the false positive ratio and improve the sensitivity of gene mutation detection that provides support for the analysis of gene-panel sequencing data.