Objective To explore the correlation between metabolic syndrome and renal function in physical examination population. Methods The data of individual physical examination in West China Hospital from March to April 2015 was collected. Body mass index (BMI), glomerular filtration rate (GFR) were calculated, and the correlation between metabolic syndrome and renal function was analyzed by using SPSS 16.0 software. Results A total of 10?098 individuals were included, of which 1?110 were MS patients were included. The results of analysis showed that, the levels of uric acid, cholesterol, urea and creatinine in MS group were significantly higher than those in non-MS group, and the level of GFR was significantly lower than that in non-MS group (P < 0.05). Renal function in patients with abnormal systolic blood pressure, diastolic blood pressure, fasting blood glucose (FBG), low density lipoprotein, total cholesterol, triglycerides, uric acid index were significantly higher than those in normal renal function group, and high density lipoprotein cholesterol was significantly lower than that of normal renal function group (P < 0.01). Conclusion Elevated levels of BMI, blood pressure, glucose, uric acid are correlated with the decrease of GFR, and metabolic syndrome is an important risk factor of renal dysfunction.
Objective To analyze the causes of missed diagnosis of sleep apnea hypopnea syndrome ( SAHS) . Methods 42 missed diagnosed cases with SAHS from May 2009 to May 2011 were retrospectively analyzed and related literatures were reviewed. Results The SAHS patients often visited the doctors for complications of SAHS such as hypertension, diabetes mellitus, metabolic syndrome, etc. Clinical misdiagnosis rate was very high. Lack of specific symptoms during the day, complicated morbidities, and insufficient knowledge of SAHS led to the high misdiagnosis rate and the poor treatment effect of patients with SAHS. Conclusion Strengthening the educational propaganda of SAHS, detail medical history collection, and polysomnography monitoring ( PSG) as early as possible can help diagnose SAHS more accurately and reduce missed diagnosis.
Objective To explore the relationship between 25-hydroxy vitamin D [25(OH)D] and metabolic syndrome (MS) in non-dialysis patients with stage 3–5 chronic kidney disease (CKD). Methods Between January 2014 and May 2015, a total of 61 non-dialysis patients with stage 3–5 CKD were included. The patients’ height, weight, blood lipid, levels of 25(OH)D and serum creatinine were conducted. The relationship between 25(OH)D and MS was analyzed. Results The average level of 25(OH)D was (39.99±17.66) nmol/L. Normal level (≥75 mmol/L) of 25(OH)D was observed in 3.3% (2/61) of the patients, insufficiency of 25(OH)D (≥37.5 nmol/L and <75 nmol/L) was observed in 50.8% (31/61), and deficiency (<37.5 nmol/L) was observed in 45.9% (28/61). The prevalence of MS was 67.2% ( 41/61). The body mass index (BMI), proportion of hypertension, proportion of diabetes mellitus, level of triglyceride in the MS group were higher than those in the non-MS group, while the levels of high-density lipoprotein and 25(OH)D were lower in the MS group than those in the non-MS group, and the differences were statistically significant (P<0.05). The patients’ BMI, proportion of hypertension, level of triglyceride and proportion of MS in the 25(OH)D deficiency group were higher than those in the 25(OH)D non-deficiency group, meanwhile, the level of high-density lopoprotein was lower in the 25(OH)D deficiency group than that in the 25(OH)D non-deficiency group, and the differences were statistically significant (P<0.05). Serum 25(OH)D level was correlated negatively with BMI (r=–0.35, P=0.006) and the level of triglyceride (r=–0.16, P=0.039), and correlated positively with the level of high-density lipoprotein (r=0.18, P=0.026). Conclusions Low level of 25(OH)D and MS are both of high incidence rate in non-dialysis patients with stage 3–5 CKD. 25(OH)D is associated with MS.
Objective To explore the association between 25-hydroxyvitamin D (25OHD) level and risk of the onset of metabolic syndrome (MS) in people in Chengdu. Methods In total, 474 participants were selected randomly by cluster sampling from one urban district and two rural villages in Longquanyi district of Chengdu. The data of sociodemographic information, lifestyle and family history were collected by questionnaires. Binary logistic regression was performed to assess the relationship between baseline 25OHD level and incident of MS, while multiple linear regression was conducted to analyze the relationship between baseline 25OHD level and insulin resistance. Results Four hundred seventy-four people were enrolled in the cohort study, 39 of them developed MS, with the incidences of 20.8 events per 1 000 person years. Among women, low 25OHD status was significantly associated with the risk of developing MS (OR=4.29, 95%CI 1.05 to 29.50, P=0.044) after adjustment for multiple potential confounders. In a multiple linear regression analysis, low 25OHD level of baseline was independently associated with the increased HOMA-IR over a 4-year period among Chengdu individuals (P<0.05) and was independently related to the decreased ISIcomp over a 4-year period in female (P<0.05). Conclusions The current prospective study suggests that low 25OHD level may contribute to increase insulin resistance in Chengdu population. Furthermore, low 25OHD level may increase the risk of MS among women in Chengdu.
ObjectiveTo investigate the bidirectional causal relationship between metabolic syndrome (MS) and inflammatory bowel disease (IBD) using Mendelian randomization (MR). MethodsWe extracted genetic variants with strong correlations from genome-wide association study data on MS as instrumental variables. Inverse variance weighting, MR-Egger regression methods, and weighted median methods were used to estimate the causal effect of MS and risk of developing IBD. ResultsInverse variance weighting found that genetically predicted MS was associated with an increased risk of developing IBD overall (OR=1.113, 95%CI 1.020 to 1.216, P=0.017) and Crohn's disease (OR=1.195, 95%CI 1.072 to 1.333, P=0.001). And inverse MR analysis found ulcerative colitis was associated with a reduced risk of developing MS (OR=0.969, 95%CI 0.948 to 0.991, P=0.005). ConclusionThe results based on MR analysis suggest that genetically predicted MS is associated with the risk of IBD as a whole and Crohn's disease and ulcerative colitis are associated with a reduced risk of developing MS.
Objective To explore the effects of Metabolic Syndrome (MS) and its components on the condition and prognosis of patients with Severe Pneumonia. Methods 306 patients with severe pneumonia admitted to the intensive care unit of Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2020 to July 2023 were included as study subjects.The patients were divided into MS and non-MS groups according to whether they were combined with MS,and into survival and death groups according to 28-day prognosis,and the general data, laboratory indexes, condition and prognostic indexes of the two groups were compared; multifactorial logistic regression was used to analyze the independent risk factors for the prognosis of patients with severe pneumonia. ResultsThe levels of test indicators such as body mass index (BMI), fasting blood glucose (FBG), triglyceride (TG), blood lactate,white blood cell count(WBC),urea phosphate (Urea), creatinine (SCr),as well as the incidence of acute respiratory distress syndrome (ARDS), shock,multiple organ dysfunction syndrome (MODS), rate of endotracheal intubation and mortality, ICU treatment cost,and total treatment cost of the MS group were significantly higher than those of the non-MS group; the levels of high-density lipoprotein cholesterol (HDL-C) and oxygenation index (OI) of the MS group were significantly lower than those of the non-MS group (P<0.05).Multifactorial logistic regression analysis showed that the risk of death from severe pneumonia was 1.276 times higher in combined MS than in no combined MS (95%CI: 1.013, 5.114, P=0.047). Subgroup analyses also showed that the risk of death from non-viral severe pneumonia was 2.147 times higher in those with MS than those without (95%CI: 1.175, 8.428, P=0.023). ConclusionSevere pneumonia with MS may be more severe and may have a worse prognosis.
Objective To explore the relationship between different diagnostic criteria (ATPIII2002, IDF2005 and CDS2007 criteria) for metabolic syndrome (MS) and non-alcoholic fatty liver disease (NAFLD). Methods A total of 666 elderly males admitted to West China Hospital for routine physical examination were involved in this study in May, 2010. The diagnostic agreement rates of different criteria were compared, along with the relationship between different diagnostic criteria for MS and NALFD. Results The diagnostic agreement of CDS2007 criteria with either IDF2005 or ATPIII2002 criteria was good. However, the agreement of ATPIII2002 with IDF2005 was compromised. The prevalence of NAFLD in MS group was significantly higher than that of non-MS group (Plt;0.01). On the basis of CDS2007 criteria, there was significant correlation between NAFLD and MS (Plt;0.000). Conclusion There is a close relation between NAFLD and all three diagnostic criteria of MS. NAFLD is one of the most important risk factors of MS. The diagnostic agreement of CDS2007 criteria with the other two is good, and there is significant correlation between NAFLD and criteria CDS2007 of MS. CDS2007 is found to be of high accuracy and applicability in the diagnosis of MS in Chinese population including the elderly.
ObjectiveTo investigate the association between metabolic syndrome and arterial stiffness in elderly people. Methods1 599 participants aged over 65 years old were recruited from 10 communities located in the northern Shanghai. Carotid-femoral pulse wave velocity (cf-PWV) of each participant was measured by SphygmoCor device. Measurements for the diagnosis of metabolic syndrome were all investigated for each participant. SPSS 20.0 was used for data management and statistical analysis. ResultsCf-PWV was significantly associated with metabolic syndrome and its diagnostic measurements (P<0.001). Moreover, with the accumulating diagnostic measurements, cf-PWV increased gradually and significantly. The increasing trend remained significant in all participants, in men and in women (P<0.001). ConclusionArterial stiffness is significantly associated with metabolic syndrome and the accumulation of its diagnostic measurements.
Objective To explore the difference of intervention effect between high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on patients with metabolic syndrome (MetS). Methods China National Knowledge Infrastructure, WanFang Data, PubMed, Web of Science and EBSCO were searched for randomized controlled trials (RCTs) till May 2022. Two reviewers independently reviewed the literature, extracted data, and assessed the risk of bias of included RCTs. Comprehensive Meta-Analysis software was used for meta-analysis. Result A total of 5 RCTs were included, including 216 patients. The results of meta-analysis showed that: except fasting blood glucose, high-density lipoprotein cholesterol, systolic blood pressure, waist circumference, body mass index and body fat percentage (P>0.005), low-density lipoprotein cholesterol [mean difference (MD)=?7.487 mg/dL, 95% confidence interval (CI) (?12.543, ?2.431) mg/dL, P=0.004], total cholesterol [MD=?11.487 mg/dL, 95%CI (?16.523, ?6.452) mg/dL, P<0.001], triglycerides [MD=?26.296 mg/dL, 95%CI (?50.557, ?2.035) mg/dL, P=0.034] and diastolic blood pressure [MD=?2.770 mm Hg (1 mm Hg=0.133 kPa), 95%CI (?5.131, ?0.409) mm Hg, P=0.021] of HIIT were better than MICT. Conclusion In terms of blood glucose indicators and morphological indicators, the effect of HIIT group and MICT group was similar, but the effect of HIIT on blood lipid indicators and blood pressure indicators of patients with MetS was better than MICT.
Objective To evaluate the efficacy and safety of metformin for metabolic syndrome. Methods We searched The Cochrane Library, MEDLINE, EMBASE, China Biological Medicine Database, VIP, and CMAC up to the year of 2007. Handsearches and additional searches were also conducted. Randomized controlled trials of metformin for metabolic syndrome were included. Two reviewers independently extracted data from eligible studies and evaluated the quality of included studies. Meta-analysis was performed for the results of homogeneous studies by The Cochrane Collaboration’s software RevMan 4.2.9. Results Six trials involving a total of 2442 patients with metabolic syndrome were included. Meta-analysis was not performed due to the apparent heterogeneity. Metformin, compared with placebo, exhibited more favorable effects in reducing the proportion of patients with metabolic syndrome (RR 1.27, 95% CI 1.01 to 1.60), the proportion of patients with low HDL-c (RR 1.61, 95%CI 1.16 to 2.23), wide waist circumference (RR 1.64, 95%CI 1.06 to 2.55), and high FPG (RR 1.55, 95%CI 1.17 to 2.05). Metformin was also more effective in improving FPG and insulin sensitivity. The addition of metformin to atenolol plus nitrendipine was superior to atenolol plus nitrendipine alone in reducing the proportion of patients with high TG (RR 5.57, 95%CI 1.56 to 19.84), abdominal obesity (RR 14.47, 95%CI 3.34 to 62.61), and IGT (RR 16.51, 95%CI 6.06 to 45.0). Compared with low-fat diet therapy, metformin was superior in improving FPG, 2-hour postload plasma glucose, and insulin sensitivity. No differences were observed between metformin and acarbose in the reduction of TG and FPG, but metformin was less effective than acarbose in improving 2-hour postload plasma glucose. No adverse drug reactions were reported. Conclusion Metformin has beneficial effects in reducing the incidence of high FPG, IGT, and abdominal obesity. It also proved beneficial in reducing the prevalence of metabolic syndrome and increasing insulin sensitivity. The therapeutic effects of metformin on blood pressure, obesity, and lipid profile are uncertain. There is insufficient evidence to recommend the use of metformin in the treatment of metabolic syndrome due to low methodological quality, small sample size, and limited number of trials. More high quality, large-scale randomized controlled trials are required.