RESEARCH DESIGN AND METHODS: The China Kadoorie Biobank recruited 512,891 adults (59% women) aged 30-79 from 10 regions of China during 2004-2008. At baseline survey, and subsequent resurveys of a random subset of survivors, participants were interviewed and measurements collected, including on-site RPG testing. Cause of death was ascertained via linkage to local mortality registries. Cox regression yielded adjusted HR for all-cause and cause-specific mortality associated with usual levels of RPG.
RESULTS: During median 11 years' follow-up, 37,214 deaths occurred among 452,993 participants without prior diagnosed diabetes or other chronic diseases. There were positive log-linear relationships between RPG and all-cause, cardiovascular disease (CVD) (n=14,209) and chronic kidney disease (CKD) (n=432) mortality down to usual RPG levels of at least 5.1 mmol/L. At RPG <11.1 mmol/L, each 1.0 mmol/L higher usual RPG was associated with adjusted HRs of 1.14 (95% CI 1.12 to 1.16), 1.16 (1.12 to 1.19) and 1.44 (1.22 to 1.70) for all-cause, CVD and CKD mortality, respectively. Usual RPG was positively associated with chronic liver disease (n=547; 1.45 (1.26 to 1.66)) and cancer (n=12,680; 1.12 (1.09 to 1.16)) mortality, but with comparably lower risks at baseline RPG ≥11.1 mmol/L. These associations persisted after excluding participants who developed diabetes during follow-up.
CONCLUSIONS: Among Chinese adults without diabetes, higher RPG levels were associated with higher mortality risks from several major diseases, with no evidence of apparent thresholds below the cut-points for diabetes diagnosis.
METHODS: This is a retrospective analysis of the Malaysian National Cardiovascular Disease Database-Acute Coronary Syndrome registry from year 2006 to 2013 (n = 30,873). On-discharge pharmacotherapies examined were aspirin, ADP-antagonists, statins, ACE-inhibitors, angiotensin-II-receptor blockers, and beta-blockers. Multivariate logistic regression was used to calculate adjusted odds ratio of receiving individual pharmacotherapies according to patients' characteristics in NSTEMI patients (n = 11,390).
RESULTS: Prescribing rates for cardiovascular pharmacotherapies had significantly increased especially for ADP-antagonists (76%) in NSTEMI patients. More than 85% were prescribed statins and antiplatelets but rates remained significantly lower compared to STEMI. Women and those over 65 years old were less likely to be prescribed these pharmacotherapies compared to men and younger NSTEMI patients. Chinese and Indians were more likely to receive selected pharmacotherapies compared to Malays (main ethnicity). Geographical variations were observed; East Malaysian (Malaysian Borneo) patients were less likely to receive these compared to Western region of Malaysian Peninsular. Underprescribing in patients with risk factors such as diabetes were observed with other co-morbidities influencing prescribing selectively.
CONCLUSION: This study uncovers demographic and clinical variations in cardiovascular pharmacotherapies prescribing for NSTEMI. Concerted efforts by policy makers, specialty societies, and physicians are required focusing on elderly, women, Malays, East Malaysians, and high-risk patients.
METHODS: A sample of 3895 individuals without known diabetes underwent detailed interview and health examination, including anthropometric and biochemical evaluation, between 2004 and 2007. Pearson's correlation, analysis of variance and multiple linear regression analyses were used to examine the influence of ethnicity on HbA(1c) .
RESULTS: As fasting plasma glucose increased, HbA(1c) increased more in Malays and Indians compared with Chinese after adjustment for age, gender, waist circumference, serum cholesterol, serum triglyceride and homeostasis model assessment of insulin resistance (P-interaction < 0.001). This translates to an HbA(1c) difference of 1.1 mmol/mol (0.1%, Indians vs. Chinese), and 0.9 mmol/mol (0.08%, Malays vs. Chinese) at fasting plasma glucose 5.6 mmol/l (the American Diabetes Association criterion for impaired fasting glycaemia); and 2.1 mmol/mol (0.19%, Indians vs. Chinese) and 2.6 mmol/mol (0.24%, Malays vs. Chinese) at fasting plasma glucose 7.0 mmol/l, the diagnostic criterion for diabetes mellitus.
CONCLUSIONS: Using HbA(1c) in place of fasting plasma glucose will reclassify different proportions of the population in different ethnic groups. This may have implications in interpretation of HbA(1c) results across ethnic groups and the use of HbA(1c) for diagnosing diabetes mellitus.
METHODS: Forty female rats were randomly assigned into five groups (n = 8/group) i.e. non-DM (non-diabetes), DM (diabetes), DM + Propolis (diabetes on propolis orally); DM + Insulin (diabetes on insulin subcutaneously) and DM + Combined (diabetes on propolis and insulin) groups. Propolis and insulin were given at 300 mg/kg/day orally and 5.0 IU/kg/day subcutaneously, respectively, for 4 weeks.
RESULTS: Fasting blood glucose, conception period, implantation losses, foetal blood glucose and placental oxidative stress markers such as malonaldehyde and protein carbonyl were significantly higher while maternal weight gain, foetal body weight and total antioxidant capacity were significantly lower in DM group compared with non-DM group. These changes were significantly improved in rats treated with propolis or insulin alone with greater significant effects in rats treated with both propolis and insulin.
CONCLUSION: This study may suggest the protective effects of propolis against DM-induced impaired pregnancy outcomes and placental oxidative stress with greater effects when combined with insulin.
Objective: To assess the impact of pharmacist-supervised intervention on HRQoL of newly diagnosed diabetics using an Audit of Diabetes-Dependent Quality of Life (ADDQoL) questionnaire.
Materials and Methods: A pre-post comparison study was conducted among the control group (CG), test 1 group (T1G) and test 2 group (T2G) patients with three treatment arms to explore the impact of pharmacist-supervised intervention on HRQoL of newly diagnosed diabetics for 18 months. Patients' HRQoL scores were determined using ADDQoL questionnaire at baseline, 3, 6, 9 and 12-months. T1G patients received pharmacist's intervention whereas T2G patients received diabetic kit demonstration in addition to pharmacist's intervention. CG patients were deprived of pharmacist intervention and diabetic kit demonstration, and only received care from attending physician/nurses. Non-parametric tests were used to find the differences in an average weighted impact scores (AWIS) among the groups before and after the intervention at P ≤ 0.05.
Results: Friedman test identified significant (P < 0.001) improvement in AWIS among the test groups' patients. Differences in scores were significant between T1G and T2G at 6-months (P = 0.033), 9-months (P < 0.001) and 12-months (P < 0.001); between CG and T1G at 12-months (P < 0.001) and between CG and T2G at 9-months (P < 0.001) and 12-months (P < 0.0010) on Mann.Whitney U test.
Conclusion: Pharmacist's intervention improved AWIS of test groups' diabetics. Diabetic kit demonstration strengthened the disease understanding and selfcare skills of T2G patients. Disease and self-care awareness among diabetics should be increased in Nepali healthcare system by involving pharmacists for better patient's related outcomes.
METHODS: Literature search was performed using electronic databases. Relevant studies were identified, extracted and assessed for risk of bias. The primary outcome of this systematic review was the composition of gut microbiota in healthy controls and T2DM while the secondary outcomes included the correlation of gut microbiota with metabolic parameters.
RESULTS: Thirteen case-control studies involving 575 T2DM and 840 healthy controls were included. T2DM patients exhibited a marked increase in lactobacilli. Six studies found lactobacilli to predominate the gut of T2DM patients; however, this could be confounded by the types of antihyperglyacemic medications. Conversely, butyrate producers dominate the gut of healthy controls. In T2DM patients, butyrate producers were surprisingly higher in those taking metformin intake than those not taking the drug. Whilst lactobacilli were found to be higher with increased plasma glucose, conflicting correlations were observed between various genera and anthropometric measurements, dietary intake, lipid profiles and inflammatory markers. There were moderate to strong significant positive correlations between the class Clostridia and phylum Firmicutes with pro-inflammatory IFN-γ as well as between Negativicutes and IL-6.
CONCLUSIONS: Altogether, butyrate-producing bacteria are negatively correlated to glycaemic parameters. Lactobacilli are higher in T2DM patients and Firmicutes is correlated with inflammation.
Methods: A multi-centred matched case control study was conducted in five local hospitals. A total of 140 histologically confirmed CRC cases were matched with 280 cancer free controls. Mean value and prevalence of the components of metabolic syndrome between cases and controls were measured based on the three definitions. A multiple variable analysis using Cox regression was conducted to measure the strength of the association between the definitions of MetS, components of MetS and risk of CRC.
Results: Multiple variable analyses showed that metabolic syndrome significantly and independently increased the risk of CRC, with an odds ratio ranging from 1.79 to 2.61. This study identified that the definition of metabolic syndrome by the International Diabetes Federation is the most sensitive in predicting the risk of CRC, compared to metabolic syndrome as defined by the World Health Organization and National Cholesterol Education Program Adults Treatment Panel III. Abdominal obesity, low HDL-cholesterol, and hypertension were identified as the three core risk factors, which promote inflammatory signals that contribute to metabolic syndrome and an increased risk of CRC.
Conclusions: These data hypothesized that simple measurement of abdominal obesity, abnormal BP and HDL-cholesterol especially using International Diabetes Federation (IDF) definition of MetS for South Asians for to detect individuals at CRC risk may have higher clinical utility than applying other universal complex MetS definitions.