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    代谢综合征智能健康管理微信小程序的设计与开发
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    Abstract:
    : To design and develop a Wechat applet for intelligent health management of metabolic syndrome. Based on the needs and requirements of individuals undergoing health check-up, patients with metabolic syndrome and medical workers, a Wechat applet for metabolic syndrome management was designed and developed, which involving health data collection, health risk prediction, health management knowledge base fusion and intelligent recommendation, data privacy and security. The platform consists of three user ports: individuals undergoing health check and patients with metabolic syndrome, the medical workers and the system administrators. The main functions of the platform included metabolic syndrome risk prediction, intelligent recommendation of health management strategies, health behavior record and supervision, experts' consultation and health knowledge guide. The Wechat applet developed in this study can be used for metabolic syndrome risk prediction for general population, and health management for patients with metabolic syndrome, which helps them to enhance health management awareness and health behavior adherence.
    One of the most common causes of atherosclerotic vascular disease and type 2 diabetes is metabolic syndrome (MS) (Type 2 DM). Metabolic syndrome is characterised by abdominal obesity, insulin resistance, high blood pressure, and lipid disorders. The metabolic syndrome's prevalence rises with age and body weight, as well as through populations studied at the same time. The prevalence of metabolic syndrome is 27 percent in the United States, and the prevalence of metabolic syndrome is growing faster in women. In Turkey, metabolic syndrome affects 38% of the population.
    Abdominal obesity
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    BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is associated with several extrapulmonary systemic manifestations including metabolic and metabolic like syndrome. The objective of study was to assess prevalence of metabolic like syndrome among COPD patients. METHODS: This study was conducted from April 2017 to March 2018. Total 67 COPD patients were classied according to GOLD guideline. International Diabetes Federation (IDF) guideline was used for metabolic syndrome(MetS). RESULTS: Prevalence of MetS was 29.85%, highest (47.06%) in GOLD stage-II. If central obesity was excluded than prevalence of metabolic like syndrome was 55.27%, highest(70%) in stage-IV . CONCLUSIONS: MetS is missed in advance stages of COPD due to absence of central obesity. Therefore “Metabolic Like Syndrome” should be coined in COPD where waist circumference is not an included.
    Guideline
    Gold standard (test)
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    OBJECTIVES: Prior research has focused on the relationship between weight change and incidence of metabolic syndrome. Change in body mass index (BMI), components of metabolic syndrome and metabolic syndrome status were investigated over 1 year of follow-up. Methods: Subjects with metabolic syndrome from a community health screening project were recruited. Logistic regression was used to analyse the disappearance or remission of metabolic syndrome during 1 year according to changes in BMI, waist circumference, triglycerides, blood pressure, high-density lipoprotein-cholesterol (HDL-C) and fasting plasma glucose (FPG). Results: The study included 490 subjects with metabolic syndrome. After 1 year, metabolic syndrome had disappeared in 30.0% (147/490) of subjects. Decreased triglycerides, blood pressure and HDL-C were significantly associated with the 1-year disappearance of metabolic syndrome, whereas BMI, waist circumference and FPG levels were not. Conclusions: Short-term weight reduction has no impact on the status of metabolic syndrome. The disappearance of metabolic syndrome was common during a 1-year follow-up. This finding might impact on the treatment and management of people with metabolic syndrome.
    Objectives ·         To study the association of psoriasis and metabolic syndrome. ·         To evaluate the disease activity and duration in psoriatic patients with and without metabolic syndrome. Materials and Method: The study was conducted at MVJ Medical College, Hoskote, Bangalore. 100 newly diagnosed psoriasis patients who had not received systemic treatment 1 month before enrollment were included in study. A complete lipid profile with fasting blood glucose levels were estimated together with measurement of blood pressure and central obesity. Serum lipids were measured and fasting glucose was analysed. Results: Among the 100 patients studied, a majority of patients were male (56%), while female patients accounted for 44%. 37 out of 100 patients had metabolic syndrome. Impaired HDL levels and fasting triglyceride were the most commonly affected components of metabolic syndrome affecting 59% and 54% respectively. There was a direct relationship between the occurrence of metabolic syndrome and extent of body surface area involved by psoriasis. Patients with psoriasis for more than 73 months had a higher occurrence of metabolic syndrome (37.84%). There was no significant correlation between PASI score and metabolic syndrome. Interpretation and conclusion: Our study correlated with the various Indian and western studies proving an association between psoriasis and metabolic syndrome. This has important implication in aiding the dermatologist to tackle issue of metabolic syndrome in psoriatic patients and in the process prevent the cardiovascular complication that are anticipated. Keywords: Psoriasis; metabolic syndrome; Lipid profile; Central obesity; Body surface area
    Lipid Profile
    Body surface area
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    Background: Metabolic syndrome is a clustering of risk factors that increase an individual’s probability of developing atherosclerotic cardiovascular disease, type 2 diabetes mellitus and all cause mortality. Since primary NAFLD has strong association with metabolic syndrome as a whole and various components of metabolic syndrome, it is being debated whether NAFLD is a hepatic component of metabolic syndrome. Hence this study was done to study the prevalence of non-alcoholic fatty liver disease in healthy individuals and in patients with metabolic syndrome and to establish a relationship between NAFLD and Metabolic syndrome.Methods: A total of 122 patients - 61 with metabolic syndrome and 61 without metabolic syndrome fulfilling inclusion and exclusion criteria who presented to the Medicine outpatient Department of Ramaiah Medical College, Bangalore, between October 2014 and September 2016 were included in the study. Baseline variables, laboratory parameters, ultrasound abdomen findings were compared between the groups.Results: Mean age of the subjects in metabolic syndrome group and non-metabolic syndrome group were 52.4±15.4 and 50.7±15.4years respectively. Mean triceps skin fold thickness (in cms) for the subjects in metabolic syndrome group and non-metabolic syndrome group were 19.16±6.1 and 7.59±2.57 respectively (P <0.05). Prevalence of fatty liver on ultrasonography in metabolic syndrome and non-metabolic syndrome were 42.62 % and 21.31% respectively. Overall prevalence of NAFLD was 31.97 %.Conclusions: Overall prevalence of NAFLD from current study was 31.97%. The prevalence of NAFLD was significantly higher in persons with metabolic syndrome than persons without metabolic syndrome.
    Outpatient clinic
    Aim: We wished to investigate the relationship between metabolic syndrome and erectile dysfunction (ED). Materials and methods: A total of 268 patients were included in this study. All of the patients were asked to fill in an International Index for Erectile Function (IIEF) questionnaire. The presence of metabolic syndrome was determined when any three or more of the five risk factors were present according to the National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP)‐III. The relationship between risk factor for metabolic syndrome and ED status was determined according to logistic regression analysis. Results: Eighty‐nine patients (33%) constituted the metabolic syndrome group. IIEF‐EF domain scores of patients with and without metabolic syndrome were 17.7 ± 7.9 and 21.7 ± 7.5, respectively ( P < 0.001). Seventy‐four percent of patients with metabolic syndrome and 50% of patients without metabolic syndrome had ED ( P < 0.001; odds ratio 2.9; 95% CI 1.7–5.0). Erectile function domain scores significantly decreased as the number of metabolic risk factors increased ( P < 0.001). Patients with the risk factor of fasting blood glucose (FBG), waist circumference (WC), or hypertension (HT) had lower erectile function domain scores than the patients with other metabolic risk factors. Logistic regression analysis revealed that FBG and WC were the most important criteria for ED. Conclusions: Metabolic syndrome seems to be a potential risk factor for ED. We recommend patients with metabolic syndrome should be questioned about ED, and WC measurement might take part in the evaluation of ED.
    Incidence of Metabolic Syndrome and Relative Importance of Five Components as a Predictor of Metabolic Syndrome: 5-Year Follow-up Study in KoreaThe aim of this study was to describe the incidence of metabolic syndrome and to identify five components as metabolic syndrome predictors.The final study included 1,095 subjects enrolled in a rural part of Daegu Metropolitan City, Korea for a cohort study in 2003.Of these, 762 (69.6%) subjects had participated in the repeat survey.During the five-year follow-up, incidence density was significantly higher for women than for men (men, 30.0/1,000 person-years; women, 46.4/1,000 person-years).In both men and women, incidence of metabolic syndrome showed a significant increase with increasing number of metabolic syndrome components at baseline.Compared with individuals presenting none of components at baseline, relative risks were increased 1.22 (men; 95% CI, 0.43-3.51),2.21 (women; 95% CI, 0.98-4.97)times more for individuals with one component of metabolic syndrome and 5.30 (men; 95% CI, 2.31-12.13),5.53 (women; 95% CI, 2.78-11.01)times more for those who had two components.In multivariate analysis, the most powerful risk factor for metabolic syndrome was abdominal obesity in men and low HDLcholesterol in women (adjusted relative risk, 3.28, 2.53, respectively).Consequently, finding a high risk group for metabolic syndrome according to gender and prevention of metabolic syndrome through lifestyle modification are essential.
    Abdominal obesity