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 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 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.
ObjectiveTo explore the effect of gastric bypass (GBP) on metabolic syndrome (MS) and the related mechanisms. MethodsThe literatures addressed the effect of GBP on glucose metabolism and blood pressure were retrospectively analyzed. ResultsIt showed that GBP achieved durable level of blood glucose, remission of dylipidemia and hypertension, however, which occurred before significant weight loss. The changes of many factors such as food intake, gastrointestinal hormones, adipocytokines, fat distribution might be involved in GBP to improve MS. ConclusionGBP seems to achieve the control of MS as a primary and independent effect, rather than secondary to the treatment of overweight.
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 evaluate the efficacy and safety of thiazolidinediones for metabolic syndrome.Methods Up through 2007, we searched The Cochrane Library, MEDLINE, EMbase, the China Biological Medicine Database, VIP and CMAC. We also handsearched relevant literature. Randomized controlled trials about usingthiazolidinedioes to treat metabolic syndrome were included. Two reviewers independently extracted the data from the eligible studies and evaluated the quality of the included studies. Meta-analysis was performed for the results ofhomogeneous studies using RevMan 4.2.9 software. Results Ten randomized control trials involving 1,183 patients with metabolic syndrome met the inclusion criteria. Meta-analysis was not carried out because of apparent heterogeneity. Five trials compared rosiglitazone and placebo, which of single study reported CVD events at the end of 9 month follow-up. The results suggested that no significant differences were found between the two groups in occurrence of CVD events (RR=0.50, 95%CI 0.25 to 1.00), such as myocardial infarction and urgent vessel revascularization after coronary stent implantation, in the patients with metabolic syndrome, while rosiglitazone significantly decreased the proportion of metabolic syndrome (RR=4.0, 95%CI 1.63 to 9.82) and HOMA-index (WMD=-0.80, 95%CI -0.90 to -0.70) as compared with placebo. Pioglitazone did not affect TG, significantly decreased HOMA-index (WMD=0.02, 95%CI 0.01 to 0.03), and increased HDL-c (WMD=0.02, 95%CI 0.01 to 0.03), compared with placebo. Pioglitazone plus glimepirde was better than rosiglitazone plus glimepiride in TG and HDL-c improvement, with no significant differences in improving BP, FPG, PPG, HbA1c, and HOMA-index for both treatments. The combination of rosiglitazone with metformin was similar to pioglitazone-metformin combination in improving FPG, PPG, HbA1c and HOMA-index, whereas pioglitazone plus metformin was superior to rosiglitazone plus metformin in improving TG and HDL-c. No differences between rosiglitazone-metformin combination and glimepirde-metformin combination were observed in improving FPG, PPG, and HbA1c, but rosiglitazone plus metformin significantly lowered HOMA-index and SBP/DBP more than glimepirde plus metformin. The results of included trails revealed that rosiglitazone and pioglitazone had no favorable effects on BMI and WC or resulted in weight gain. The adverse drug reactions for thiazolidinediones were mild to moderate, and well tolerated. Conclusion The results suggest that thiazolidinediones produce positive effects on blood glucose level and insulin sensitivity in the absence of favorable obesity effects or resulting in weight gain. Pioglitazone favorably affects HDL-c. Thiazolidinediones show a certain effect on decreasing the proportion of metabolic syndrome, but the therapeutic effect on BP is uncertain. Overall there is insufficient evidence to recommend the use of thiazolidinediones for metabolic syndrome due to low methodological quality, small sample size, and limited number of trials. More high-quality, largescale randomized controlled trials are required.
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 assess the efficacy and safety of lipid-modifying agents for metabolism syndrome.Methods We searched The Cochrane Library, MEDLINE, EMbase, the China Biological Medicine Database, VIP and CMAC to 2007. We also did some handsearching and additional searching. Randomized controlled trials of lipidmodifying therapy for metabolic syndrome were included. Two reviewers independently extracted data from the eligible studies and evaluated the quality of the included studies. Meta-analyses were performed for the results of homogeneous studies using The Cochrane Collaboration’s RevMan 4.2.9 software. Results A total of 11 studies involving 1 422 patients with metabolic syndrome were included. The results indicated that there was no significant difference in TG between rosuvastatin and atorvastatin. However, rosuvastatin was more effective than atorvastatin on HDL-c improvement. Atorvastatin decreased TG levels greater than simvastatin, but simvastatin was superior to atorvastatin in HDL-c improvement. Two trials comparing fenofibrate with placebo were heterogeneous for some outcomes: one found no significant difference in improvements to HOMA-index, but the other trial indicated that fenofibrate was superior to placebo in improving QUICKI. However, the two trials revealed that fenofibrate favorably affected TG [WMD= – 1.77, 95%CI (– 2.21, – 1.33)] and HDL-c [WMD= 6.62, 95%CI (2.07, 11.17)] compared with placebo. No significant differences among atorvastatin, fenofibrate, alone or in combination, were observed in the proportion of metabolic syndrome reduction [RR=0.99, 95%CI (0.84, 1.16); RR=1.03, 95%CI (0.88, 1.20); RR=1.01, 95%CI (0.87, 1.18)]. Atorvastatin plus fenofibrate was superior to atorvastatin alone in TG and HDL-c improvement. Simvastatin-fenofibrate combination produced greater effectiveness in improving of HDL-c and TG compared with simvastatin alone. The fenofibrateorlistat combination was similar to fenofibrate in reducing metabolic syndrome [RR=1.15, 95%CI (0.68, 1.95)] and TG improvement, but was more effective than fenofibrate in HOMA-index improvement. This review of the clinical trials shows that the majority of lipid-modulating drugs did not have favorable effects on FPG, BP, BMI and WC. Six studies reported side effects, showing that the side effects for lipid-regulating drugs were mild to moderate, and well tolerated.Conclusion Our results suggest that lipid-regulating drugs in general exhibit beneficial effects on TG and HDL-c, but not on blood glucose and central obesity. The therapeutic effects of lipid-regulating drugs on blood pressure and insulin sensitivity are uncertain and have no positive effects on FPG, BMI and WC. There is insufficient evidence in this review to recommend the use of lipid-modifying drugs for metabolic syndrome due to low methodological quality, small ssamplesize and limited number of the trials. More high-quality and large-scale randomized controlled trials are required.
ObjectiveTo investigate the causal association between metabolic syndrome (MetS) components and osteoarthritis of the knee (KOA) by using Mendelian randomization analysis. MethodsThe genome-wide association study database (GWAS) was mined, in which the exposure factors were MetS components, namely waist circumference (WC) level, triglyceride (TG) level, high-density lipoprotein cholesterol (HDL-C) level, hypertension (HBP), and type 2 diabetes (T2DM), and the outcome factor was KOA. Mendelian randomization analysis was performed using regression models of inverse-variance weighted (IVW), MR-Egger, Simple Mode, Weighted Median, and Weighted Mode methods. ResultsIVW showed a causal relationship between WC level and KOA with a positive correlation (OR=3.088, 95%CI 2.574 to 3.704, P<0.01), and HDL-C level had a causal relationship with KOA with a negative correlation (OR=0.877, 95%CI 0.779 to 0.989, P<0.05). IVW did not show a causal relationship between TG levels, HBP, and T2DM with KOA (P>0.05). The results of the ME-Egger intercept test were not multiplicative (P>0.05), indicating that Mendelian randomization was a valid method for causal inference in this study. ConclusionCentral obesity and low HDL-C disorder are independent risk factors for KOA. The causal relationship between TG level, HBP, and T2DM with KOA is still uncertain.
Objective To investigate the differences in characteristics and susceptibility factors between infectious stones and calcium oxalate stones, and provide reference value for screening infectious stones in clinical work. Methods According to the results of analysis of stone components in the extracorporeal shock wave lithotripsy center of West China Hospital of Sichuan University between June 2014 and April 2017, 392 patients with infectious stones (including 56 patients with magnesium ammonium phosphate stones in group A and 336 patients with calcium carbonate apatite in group B) and 392 patients with calcium oxalate stone (group C) were selected to discuss the difference of clinical features by retrospectively analyzing the clinical data. Results The proportion of females, the long diameter of stones and the proportion of staghorn stones in group A [75.0%, (3.9±2.5) cm, 41.1%] were higher than those in group B [39.3%, (2.4±1.3) cm, 6.0%], and the proportion of females and the long diameter of stones in group A and B were larger than those in group C [30.1%, (1.9±0.7) cm]; the differences above were statistically significant (P<0.05). There was no significant difference among the three groups in surgically history or complicated factors of urinary tract such as ureteral stricture (P>0.05). The prevalences of diabetes, renal tubular acidosis and hyperlipidemia in patients with infectious stones were higher than those in group C. The prevalences of renal tubular acidosis and hyperlipidemia in group A (16.1%, 39.3%) were higher than those in group B (0.6%, 21.1%), the positive rate of urine culture in group A (58.9%) was higher than that in group B (20.5%), which were both higher than that in group C (8.9%); these differences were statistically significant (P<0.017). The bacteria cultured from urine were mainlyProteus mirabilis and Escherichia coli in group A, and Escherichia coli in group B and group C. Conclusion Patients with large volume of stones, complicated with diabetes, renal tubular acidosis, hyperlipidemia and positive urine culture are more likely to have infectious stones.