Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia.

BACKGROUND: Daily step counts is an intuitive metric that has demonstrated success in motivating physical activity in adults and may hold potential for future public health physical activity recommendations. This review seeks to clarify the pattern of the associations between daily steps and subsequent all-cause mortality, cardiovascular disease (CVD) morbidity and mortality, and dysglycemia, as well as the number of daily steps needed for health outcomes. METHODS: A systematic review was conducted to identify prospective studies assessing daily step count measured by pedometer or accelerometer and their associations with all-cause mortality, CVD morbidity or mortality, and dysglycemia (dysglycemia or diabetes incidence, insulin sensitivity, fasting glucose, HbA1c). The search was performed across the Medline, Embase, CINAHL, and the Cochrane Library databases from inception to August 1, 2019. Eligibility criteria included longitudinal design with health outcomes assessed at baseline and subsequent timepoints; defining steps per day as the exposure; reporting all-cause mortality, CVD morbidity or mortality, and/or dysglycemia outcomes; adults ≥18 years old; and non-patient populations. RESULTS: Seventeen prospective studies involving over 30,000 adults were identified. Five studies reported on all-cause mortality (follow-up time 4-10 years), four on cardiovascular risk or events (6 months to 6 years), and eight on dysglycemia outcomes (3 months to 5 years). For each 1000 daily step count increase at baseline, risk reductions in all-cause mortality (6-36%) and CVD (5-21%) at follow-up were estimated across a subsample of included studies. There was no evidence of significant interaction by age, sex, health conditions or behaviors (e.g., alcohol use, smoking status, diet) among studies that tested for interactions. Studies examining dysglycemia outcomes report inconsistent findings, partially due to heterogeneity across studies of glycemia-related biomarker outcomes, analytic approaches, and sample characteristics. CONCLUSIONS: Evidence from longitudinal data consistently demonstrated that walking an additional 1000 steps per day can help lower the risk of all-cause mortality, and CVD morbidity and mortality in adults, and that health benefits are present below 10,000 steps per day. However, the shape of the dose-response relation is not yet clear. Data are currently lacking to identify a specific minimum threshold of daily step counts needed to obtain overall health benefit.

Dysglycemia and increased left ventricle mass in normotensive patients admitted with a first myocardial infarction: prognostic implications of dysglycemia during 14 years of follow-up.

BACKGROUND: Left ventricle mass (LVM) can be influenced by various conditions including hypertension and/or inherent cardiomyopathies. Dysglycemia is also thought to exert an anabolic effect on heart tissue by hyperinsulinemia and thereby promoting increased LVM. The primary aim of this study was to assess the influence of dysglycemia on LVM evaluated by an oral glucose tolerance test (OGTT) in patients admitted with a first myocardial infarction (MI) without hypertension. The secondary aim was to assess the impact of dysglycemia on major adverse cardiovascular events (MACE) and all-cause mortality during long-term follow-up. METHODS: Patients admitted with a first MI without known history of hypertension were included. All patients without previously known type 2 diabetes mellitus (T2DM) had a standardized 2-hour OGTT performed and were categorized as: normal glucose tolerance (NGT), impaired fasting glucose (IFG)/impaired glucose tolerance (IGT) and newly detected T2DM (new T2DM). LVM was measured by echocardiography using Devereaux formula and indexed by body surface area. Multivariate linear regression analysis was used to assess the impact of confounders (dysglycemia by OGTT, known T2DM, age, sex and type of MI) on LVM. Cox proportional hazard model was used to assess the impact of dysglycemia on all-cause mortality and a composite endpoint of MACE (all-cause mortality, MI, revascularisation due to stable angina, coronary artery bypass graft, ischemic stroke or hemorrhagic stroke). RESULTS: Two-hundred-and-five patients were included and followed up to 14 years. In multivariate regression analysis, LVM was only significantly increased in patients categorized as new T2DM (ß = 25.3; 95% CI [7.5-43.0]) and known T2DM (ß = 37.3; 95% CI [10.0-64.5]) compared to patients with NGT. Patients with new T2DM showed higher rates of MACE and all-cause mortality compared to patients with IFG/IGT and NGT; however no significantly increased hazard ratio was detected. CONCLUSIONS: Dysglycemia is associated with increasing LVM in normotensive patients with a first acute myocardial infarction and the strongest association was observed in patients with new T2DM and patients with known T2DM. Dysglycemia in normotensive patients with a first MI is not an independent predictor of neither MACE nor all-cause mortality during long-term follow-up compared to normotensive patients without dysglycemia.

Comprehensive gene expression analysis for exploring the association between glucose metabolism and differentiation of thyroid cancer.

BACKGROUND: The principle of loss of iodine uptake and increased glucose metabolism according to dedifferentiation of thyroid cancer is clinically assessed by imaging. Though these biological properties are widely applied to appropriate iodine therapy, the understanding of the genomic background of this principle is still lacking. We investigated the association between glucose metabolism and differentiation in advanced thyroid cancer as well as papillary thyroid cancer (PTC). METHODS: We used RNA sequencing of 505 patients with PTC obtained from the Cancer Genome Archives and microarray data of poorly-differentiated and anaplastic thyroid cancer (PDTC/ATC). The signatures of GLUT and glycolysis were estimated to assess glucose metabolic profiles. The glucose metabolic profiles were associated with tumor differentiation score (TDS) and BRAFV600E mutation status. In addition, survival analysis of glucose metabolic profiles was performed for predicting recurrence-free survival. RESULTS: In PTC, the glycolysis signature was positively correlated with TDS, while the GLUT signature was inversely correlated with TDS. These correlations were significantly stronger in the BRAFV600E negative group than the positive group. Meanwhile, both GLUT and glycolysis signatures were negatively correlated with TDS in advanced thyroid cancer. The high glycolysis signature was significantly associated with poor prognosis in PTC in spite of high TDS. The glucose metabolic profiles are intricately associated with tumor differentiation in PTC and PDTC/ATC. CONCLUSIONS: As glycolysis was an independent prognostic marker, we suggest that the glucose metabolism features of thyroid cancer could be another biological progression marker different from differentiation and provide clinical implications for risk stratification. TRIAL REGISTRATION: Not applicable.

Soluble ST2 is a biomarker for cardiovascular mortality related to abnormal glucose metabolism in high-risk subjects.

AIMS: Inflammation plays a role in the development and progression of type 2 diabetes macroangiopathy. Interleukin 33 (IL-33) drives production of Th2-associated cytokines. The soluble form of suppression of tumorigenicity 2 (sST2) acting as a decoy receptor blocks IL-33 and tones down Th2 inflammatory response. We investigated the role of sST2 as a predictor of CV and all-cause mortality in a cohort of patients affected by established atherosclerotic disease. METHODS: 399 patients with atherosclerotic disease from the Tor Vergata Atherosclerosis Registry performed follow-up every year by phone interview. The primary endpoint was cardiovascular death and the secondary endpoint was death for any other disease. RESULTS: sST2 plasma levels were significantly increased from normal glucose-tolerant patients to patients with history of type 2 diabetes (p < 0.00001). Levels of sST2 were significantly correlated with fasting plasma glucose (R = 0.16, p = 0.002), HbA1c (R = 0.17, p = 0.002), and HOMA (R = 0.16, p = 0.004). Dividing patients in tertiles of sST2 levels, those belonging to the highest tertile showed an increased rate of all-cause and cardiovascular mortality, (all-cause mortality p = 0.045 and CVD mortality p = 0.02). A multivariate Cox analysis revealed that sST2 increased the risk in cardiovascular mortality per SD by hazard ratio 1.050 (95% CI 1.006-1.097, p = 0.025) after adjustment for age and hs-CRP while it did not significantly change the risk for all-cause mortality. CONCLUSIONS: High circulating level of sST2 is associated to increased CVD mortality and markers of metabolic dysfunction in subjects with atherosclerotic disease.

Testosterone, sex hormone-binding globulin and risk of cardiovascular events: A report from the Outcome Reduction with an Initial Glargine Intervention trial.

AIMS: Testosterone and its binding protein sex hormone-binding globulin have been associated with cardiovascular disease and dysglycaemia. However, information on the prognostic implication in patients at high cardiovascular risk with dysglycaemia is inconsistent. The study objective was to determine whether testosterone and/or sex hormone-binding globulin predict cardiovascular events or death in dysglycaemic patients. METHODS: Dysglycaemic males at high cardiovascular risk ( n = 5553) who participated in the Outcome Reduction with an Initial Glargine Intervention (ORIGIN) trial and provided baseline blood samples were studied. Testosterone and sex hormone-binding globulin were measured at baseline and used to estimate free testosterone. Low levels of total and free testosterone were defined as ≤300 ng/dl and ≤7 ng/dl, respectively. Patients were followed for six years for cardiovascular events (defined as the composite of cardiovascular death, non-fatal myocardial infarction or stroke) and all-cause mortality. RESULTS: The mean total and free testosterone levels were 416.6 ng/dl and 8.4 ng/dl, and low levels were present in 13% and 37% of the patients. The median sex hormone-binding globulin level was 35 nmol/l. In Cox regression models adjusted for age, previous diseases and pharmacological treatment, neither total nor free testosterone predicted cardiovascular events. However, a one-standard-deviation increase in sex hormone-binding globulin predicted both cardiovascular events (hazard ratio 1.07; 95% confidence interval 1.00-1.14; p = 0.03) and all-cause mortality (hazard ratio 1.13; 95% confidence interval 1.06-1.21; p < 0.01). CONCLUSION: Sex hormone-binding globulin, but not total testosterone, predicts cardiovascular disease and all-cause mortality in dysglycaemic males at high cardiovascular risk.

Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome.

BACKGROUND: Impaired glucose metabolism is an established risk factor for coronary artery disease. Previous studies revealed that glycemic variability (GV) is also important for glucose metabolism in patients with acute coronary syndrome (ACS). We explored the association between GV and prognosis in patients with ACS. METHODS: A total of 417 patients with ACS who received reperfusion wore a continuous glucose monitoring system (CGMS) in a stable phase after admission and were monitored for at least 24 consecutive h. The mean amplitude of glycemic excursion (MAGE) was calculated as a marker of GV. We divided into two groups based on the highest tertile levels of MAGE (MAGE = 52 mg/dl). The groups were followed up for a median of 39 months [IQR 24-50 months]. The primary endpoint was the incidence of major adverse cardiovascular and cerebrovascular events (MACCE). RESULT: During follow-up, 66 patients experienced MACCE (5 patients had cardiovascular death, 14 had recurrence of ACS, 27 had angina requiring revascularization, 8 had acute decompensated heart failure, and 16 had a stroke). MACCE was more frequently observed in the high MAGE group (23.5% vs. 11.6%, p = 0.002). In multivariate analysis, high MAGE was an independent predictive factor of poor prognosis for MACCE (odds ratio, 1.84; 95% confidence interval, 1.01-3.36; p = 0.045). CONCLUSION: Glycemic variability determined with a CGMS is a predictor of prognosis in patients with ACS without severe DM. Trial registration UMIN 000010620. Registered April 1st 2012.

Non-diabetic Glucose levels and Cancer Mortality: A Literature Review.

BACKGROUND: Although diabetes mellitus is a risk factor for cancer, the relationship of an increased glucose concentration at a non-diabetic glucose level with cancer mortality is yet to be determined. OBJECTIVE: The aim was to observe whether an increased glucose concentration and/or glucose intolerance at the non-diabetic glucose level can predict cancer mortality. METHODS: Population-based prospective cohort studies evaluating cancer mortality at the non-diabetic level (defined as fasting plasma glucose <7.0 mmol/L and two-hour plasma glucose <11.1mmol/L following an oral glucose tolerance test) were collected via a PubMed search with an additional Google scholar search between 1 January 1966 and 31 July 2016. RESULTS: We identified seven studies, which met the defined criteria. Studies examining fasting/casual states indicated an increase in cancer mortality with a slight increase in fasting/casual glucose levels in men in particular. Not all, but some studies using a glucose tolerance test indicated an increase in cancer mortality with impaired glucose tolerance/prediabetes. Concerning cause-cancer mortality, glucose intolerance states appeared to have an increase in mortality, particularly due to the stomach, liver and pancreatic cancers. CONCLUSION: In these studies reviewed, cancer mortality increased in individuals with an increased glucose concentration and an increased potential was seen in those patients with glucose intolerance even at non-diabetic glucose levels. The outcome of these findings is promising and forms the basis for further studies to directly address the relevance of increased (non-diabetic) glucose and glucose intolerance as a prognostic indicator of cancer mortality.

The Metabolic Syndrome and Risk of Sudden Cardiac Death: The Atherosclerosis Risk in Communities Study.

BACKGROUND: Prior studies have demonstrated a link between the metabolic syndrome and increased risk of cardiovascular mortality. Whether the metabolic syndrome is associated with sudden cardiac death is uncertain. METHODS AND RESULTS: We characterized the relationship between sudden cardiac death and metabolic syndrome status among participants of the ARIC (Atherosclerosis Risk in Communities) Study (1987-2012) free of prevalent coronary heart disease or heart failure. Among 13 168 participants, 357 (2.7%) sudden cardiac deaths occurred during a median follow-up of 23.6 years. Participants with the metabolic syndrome (n=4444) had a higher cumulative incidence of sudden cardiac death than those without it (n=8724) (4.1% versus 2.3%, P<0.001). After adjustment for participant demographics and clinical factors other than components of the metabolic syndrome, the metabolic syndrome was independently associated with sudden cardiac death (hazard ratio, 1.70, 95% confidence interval, 1.37-2.12, P<0.001). This relationship was not modified by sex (interaction P=0.10) or race (interaction P=0.62) and was mediated by the metabolic syndrome criteria components. The risk of sudden cardiac death varied according to the number of metabolic syndrome components (hazard ratio 1.31 per additional component of the metabolic syndrome, 95% confidence interval, 1.19-1.44, P<0.001). Of the 5 components, elevated blood pressure, impaired fasting glucose, and low high-density lipoprotein were independently associated with sudden cardiac death. CONCLUSIONS: We observed that the metabolic syndrome was associated with a significantly increased risk of sudden cardiac death irrespective of sex or race. The risk of sudden cardiac death was proportional to the number of metabolic syndrome components.

Analysis of "never events" following adult cardiac surgical procedures in the United States.

BACKGROUND: This study was conducted to determine the risk factors, nature, and outcomes of "never events" following open adult cardiac surgical procedures. Understanding of these events can reduce their occurrence, and thereby improve patient care, quality metrics, and cost reduction. METHODS: "Never events" for patients included in the Nationwide Inpatient Sample who underwent coronary artery bypass graft, heart valve repair/replacement, or thoracic aneurysm repair between 2003-2011 were documented. These events included air embolism, catheter-based urinary tract infection (UTI), pressure ulcer, falls/trauma, blood incompatibility, vascular catheter infection, poor glucose control, foreign object retention, wrong site surgery and mediastinitis. Analysis included characterization of preoperative demographics, comorbidities and outcomes for patients sustaining never events, and multivariate analysis of predictive risk factors and outcomes. RESULTS: A total of 588,417 patients meeting inclusion criteria were identified. Of these, never events occurred in 4377 cases. The majority of events were in-hospital falls, vascular catheter infections, and complications of poor glucose control. Rates of falls, catheter based UTIs, and glucose control complications increased between 2009-2011 as compared to 2003-2008. Analysis revealed increased hospital length of stay, hospital charges, and mortality in patients who suffered a never event as compared to those that did not. CONCLUSIONS: This study establishes a baseline never event rate after cardiac surgery. Adverse patient outcomes and increased resource utilization resulting from never events emphasizes the need for quality improvement surrounding them. A better understanding of individual patient characteristics for those at risk can help in developing protocols to decrease occurrence rates.

[RISK FACTORS OF DEATH IN DIABETES MELLITUS].

Objective: To study risk factors of death in diabetes mellitus (DM). Materials and methods: This prospective cohort study included 337 patients with compromised carbohydrate metabolism (36 with impaired fasting glycemia or impaired glucose tolerance, 80 with type 1 diabetes, 194 with type 2 diabetes, 27 with diabetes due to chronic pancreatitis). Mean follow-up was 11.2±4.8 years (from 1 January 1995 through 31 December 2014). We investigated causes and risk factors of death in patients with impaired carbohydrate metabolism. Results: 115 patients died during the study period. The most common causes of death of patients with type 1 and 2 diabetes are cardiovascular diseases and cancer. Risk factors of death in type 1 DM include cardiovascular disease, diabetic nephropathy and retinopathy. Patients die at a younger age due to early onset of the disease. In type 2 diabetes risk factors of death are cardiovascular and oncologic diseases, nephropathy, the use of insulin. Patients die in elderly and senile age due to the late onset of diabetes. Gender differences in mortality associated with type 1 and 2 diabetes mellitus were not observed. Conclusion: Main causes of death in patients with type 1 and 2 DM are cardiovascular diseases and cancer. Risk factors of death include macro - and microvascular complications.

Long-term clinical outcome in patients with acute coronary syndrome and dysglycaemia.

BACKGROUND: Diabetes and impaired glucose tolerance (IGT) are major risk factors for atherosclerosis including coronary artery disease (CAD). The present study's aim was to investigate the importance of glucose tolerance for long-term clinical outcome in patients with acute coronary syndrome (ACS). METHODS: A total 1062 consecutive patients, 781 men and 281 women, aged 32-80 years, admitted to the coronary care unit at Danderyd University Hospital, Stockholm, for ACS from 2006 to 2008 were included. At discharge, the patients were categorized according to an oral glucose tolerance test (OGTT) as having normal glucose tolerance (NGT), n = 295 (28%); impaired fasting glucose (IFG) and IGT, n = 299 (28%); diabetes discovered by OGTT, n = 156 (15%); or known diabetes at admission, n = 312 (29%). Mortality and reinfarction rates were studied during a mean follow-up time of 4.0 (±0.8) years. Clinical outcome data were obtained from the Swedish Coronary Angiography and Angioplasty Registry and the Swedish National Registry. RESULTS: There was significantly higher (p < 0.001) mortality within, 30 days, 1 and 3 years in patients with known diabetes as compared to the other groups. During the follow-up, 86 patients (28%) with known diabetes had reinfarction as compared to 36 patients (12%) with NGT and 79 patients (17%) with dysglycaemia (IFG, IGT and diabetes) discovered by OGTT. CONCLUSION: A majority (72% in this study) of patients admitted for ACS have disturbed glucose metabolism, including diabetes, with high prevalence of previously undiagnosed dysglycaemia. Both patients with known diabetes and dysglycaemia discovered by OGTT show a high risk for poor clinical prognosis.

Metabolic syndrome, ESRD, and death in CKD.

BACKGROUND AND OBJECTIVES: Previous studies reported an association between metabolic syndrome , incident CKD, and proteinuria. This study examined the associations between metabolic syndrome and its components with ESRD and death among those patients with stages 3 and 4 CKD (estimated GFR=15-59 ml/min per 1.73 m(2)). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Patients with stages 3 and 4 CKD (n=25,868) who had data relating to metabolic syndrome and were followed in our health care system were identified using an electronic medical record-based registry. Cox proportional hazards models and competing risk analyses were used to study the associations between metabolic syndrome, its components (elevated BP, low HDL cholesterol, elevated serum triglycerides, impaired glucose metabolism, and obesity), and all-cause mortality and ESRD while adjusting for demographics, comorbid conditions, use of relevant medications, and renal function. RESULTS: Sixty percent of the study population (n=15,605) had metabolic syndrome. In the multivariate-adjusted analysis, presence of metabolic syndrome was associated with an increased risk for ESRD (hazard ratio=1.33, 95% confidence interval=1.08, 1.64) but not death (hazard ratio=1.04, 95% confidence interval=0.97, 1.12) during a mean follow-up of 2.3 years. Among the individual components of metabolic syndrome, impaired glucose metabolism, elevated triglycerides, and hypertension were associated with increased risk for ESRD, whereas low HDL cholesterol and impaired glucose metabolism were associated with higher risk of death. CONCLUSIONS: Presence of metabolic syndrome is associated with ESRD but not death in patients with stages 3 and 4 CKD.

The prognostic value of different glucose abnormalities in patients with acute myocardial infarction treated invasively.

BACKGROUND: Diabetes (DM) deteriorates the prognosis in patients with coronary heart disease. However, the prognostic value of different glucose abnormalities (GA) other than DM in subjects with acute myocardial infarction (AMI) treated invasively remains unclear. AIMS: To assess the incidence and impact of GA on clinical outcomes in AMI patients treated with percutaneous coronary intervention (PCI). METHODS: A single-center, prospective registry encompassed 2733 consecutive AMI subjects treated with PCI. In all in-hospital survivors (n = 2527, 92.5%) without the history of DM diagnosed before or during index hospitalization standard oral glucose tolerance test (OGTT) was performed during stable condition before hospital discharge and interpreted according to WHO criteria. The mean follow-up period was 37.5 months. RESULTS: The incidence of GA was as follows: impaired fasting glycaemia - IFG (n = 376, 15%); impaired glucose tolerance - IGT (n = 560, 22%); DM (n = 425, 17%); new onset DM (n = 384, 15%); and normal glucose tolerance - NGT (n = 782, 31%). During the long-term follow-up, death rate events for previously known DM, new onset DM and IGT were significantly more frequent than those for IFG and NGT (12.3; 9.6 and 9.4 vs. 5.6 and 6.4%, respectively, P < 0.05). The strongest and common independent predictors of death in GA patients were glomerular filtration rate < 60 ml/min/1,73 m^2 (HR 2.0 and 2.8) and left ventricle ejection fraction < 35% (HR 2.5 and 1.8, all P < 0.05) respectively. CONCLUSIONS: Glucose abnormalities are very common in AMI patients. DM, new onset DM and IGT increase remote mortality. Impaired glucose tolerance bears similar long-term prognosis as diabetes.

Glycemic load, glycemic index and risk of cardiovascular diseases: meta-analyses of prospective studies.

OBJECTIVE: The objective of this study was to assess the relations between glycemic load (GL), glycemic index (GI) and the risk of fatal or nonfatal cardiovascular diseases (CVDs). METHODS: Prospective studies were identified by a comprehensive search of Pubmed, ISI web of Science, the Cochrane Library and EMBASE database, supplemented with manual searches through the reference lists of original publications and review articles. Relative risks (RRs) and 95% confidence intervals (CIs) were extracted and pooled using a random-effect model, and dose-response meta-analysis was performed by the method of generalized least-squares. RESULTS: Fourteen studies were identified, involving 229,213 participants and more than 11,363 cases. The pooled RRs of CVDs risk for the highest vs lowest categories of GL and GI were 1.23 (95% CI: 1.11-1.36) and 1.13 (95% CI: 1.04-1.22) respectively. Both the risk estimates of GL and GI for women (GL: RR = 1.35, 95% CI: 1.18-1.55; GI: RR = 1.19, 95% CI: 1.06-1.34) were higher than men (GL: RR = 1.10, 95% CI: 0.95-1.28; GI: RR = 1.05, 95% CI: 0.94-1.17). No heterogeneity or publication bias was detected. Dose-response meta-analysis found an increased RR of 1.18 (95% CI: 1.01-1.38, P = 0.033) per 50 unit increment of GL with cardiac event risk in Caucasians. CONCLUSIONS: High GL and GI were associated with significant increased risk of CVDs, specifically for women.

Glucose levels are associated with cardiovascular disease and death in an international cohort of normal glycaemic and dysglycaemic men and women: the EpiDREAM cohort study.

AIMS: In an international prospective cohort study we assessed the relationship between glucose levels and incident cardiovascular events and death. METHODS AND RESULTS: 18,990 men and women were screened for entry into the DREAM clinical trial from 21 different countries. All had clinical and biochemical information collected at baseline, including an oral glucose tolerance test (OGTT), and were prospectively followed over a median (IQR) of 3.5 (3.0-4.0) years for incident cardiovascular (CV) events including coronary artery disease (CAD), stroke, congestive heart failure (CHF) requiring hospitalization, and death. After OGTT screening, 8000 subjects were classified as normoglycaemic, 8427 had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), and 2563 subjects had newly diagnosed type 2 diabetes mellitus (DM). There were incident events in 491 individuals: 282 CAD, 54 strokes, 19 CHF, and 164 died. The annualized CV or death event rate was 0.79/100 person-years in the overall cohort, 0.51/100 person-years in normoglycaemics, 0.92/100 person-years among subjects with IFG and/or IGT at baseline, and 1.27/100 person-years among those with DM (p for trend <0.0001). Among all subjects, a 1 mmol/l increase in fasting plasma glucose (FPG) or a 2.52 mmol/l increase in the 2-h post-OGTT glucose was associated with a hazard ratio increase in the risk of CV events or death of 1.17 (95% CI 1.13-1.22). CONCLUSIONS: In this large multiethnic cohort, the risk of CV events or death increased progressively among individuals who were normoglycaemic, IFG or IGT, and newly diagnosed diabetics. A 1 mmol/l increase in FPG was associated with a 17% increase in the risk of future CV events or death. Therapeutic or behavioural interventions designed to either prevent glucose levels from rising, or lower glucose among individuals with dysglycaemia should be evaluated.

Progression rate of newly diagnosed impaired fasting glycemia to type 2 diabetes mellitus: a study using the National Healthcare Group Diabetes Registry in Singapore.

BACKGROUND: The aims of the present study were to estimate the rate of progression from newly diagnosed impaired fasting glycemia (IFG) to type 2 diabetes mellitus (T2DM) in Singapore and to identify factors associated with the progression to T2DM in individuals with newly diagnosed IFG. METHODS: The present study was a retrospective cohort study of newly diagnosed IFG from the National Healthcare Group Diabetes Registry between 1 January 2006 and 31 December 2007 to estimated the rate of progression to T2DM. Univariate survival analysis, followed by multivariate survival analysis, was performed and interactions were tested in the final model. RESULTS: Over a mean follow-up period of 1.65 ± 0.13 years, 85 of 490 participants with newly diagnosed IFG developed T2DM, giving an annual progression rate of 6.8%. The factors associated with the development of T2DM were higher fasting plasma glucose level in the year of IFG diagnosis (hazard ratio [HR] = 14.6; 95% confidence interval [CI] 5.66-37.5), Chinese race (HR = 2.70; 95% CI 1.44-5.06), and body mass index (HR = 1.11; 95% CI, 1.06-1.15). CONCLUSIONS: The progression rate to T2DM is high in subjects with newly diagnosed IFG. Intensive lifestyle modification can be incorporated into their current yearly follow-up to prevent progression to T2DM, which is a growing problem in Singapore.

Post-load hyperglycemia as an important predictor of long-term adverse cardiac events after acute myocardial infarction: a scientific study.

BACKGROUND: Diabetes mellitus (DM) and impaired glucose tolerance (IGT) are risk factors for acute myocardial infarction (AMI). However, it is unknown whether hyperglycemic state is associated with increased major adverse cardiovascular events (MACE) after AMI. In this study, we evaluated the relationship between glucometabolic status and MACE in patients after AMI, and determined the critical level of 2 h post-load plasma glucose that may be used to predict MACE. METHODS: AMI patients (n = 422) were divided into 4 groups as follows: normal glucose tolerance (NGT) group, IGT group, newly diagnosed DM (NDM) group, and previously known DM (PDM) group. MACE of the 4 groups were compared for 2 years from AMI onset. RESULTS: The NDM group had a significantly higher event rate than the IGT and NGT groups and had a similar event rate curve to PDM group. The logistic models analyses revealed that 2 h post-load plasma glucose values of ≥160 mg/dL was the only independent predictor of long-term MACE after AMI (p = 0.028, OR: 1.85, 95% CI: 1.07-3.21). The 2-year cardiac event rate of patients with a 2 h post-load hyperglycemia of ≥160 mg/dL was significantly higher than that of patients with 2 h post-load glucose of <160 mg/dL (32.2% vs. 19.8%, p < 0.05) and was similar to that of PDM group (37.4%, p = 0.513). CONCLUSIONS: NDM increases the risk of MACE after AMI as does PDM. Particularly, post-AMI patients with a 2 h post-load hyperglycemia ≥160 mg/dL may need adjunctive therapy after AMI.

The impact of early hypoglycemia and blood glucose variability on outcome in critical illness.

INTRODUCTION: In critical illness, the association of hypoglycemia, blood glucose (BG) variability and outcome are not well understood. We describe the incidence, clinical factors and outcomes associated with an early hypoglycemia and BG variability in critically ill patients. METHODS: Retrospective interrogation of prospectively collected data from the Australia New Zealand Intensive Care Society Adult Patient Database on 66184 adult admissions to 24 intensive care units (ICUs) from 1 January 2000 to 31 December 2005. Primary exposure was hypoglycemia (BG < 4.5 mmol/L) and BG variability (BG < 4.5 and >or= 12.0 mmol/L) within 24 hours of admission. Primary outcome was all-cause mortality. RESULTS: The cumulative incidence of hypoglycemia and BG variability were 13.8% (95% confidence interval (CI) = 13.5 to 14.0; n = 9122) and 2.9% (95%CI = 2.8 to 3.0, n = 1913), respectively. Several clinical factors were associated with both hypoglycemia and BG variability including: co-morbid disease (P < 0.001), non-elective admissions (P < 0.001), higher illness severity (P < 0.001), and primary septic diagnosis (P < 0.001). Hypoglycemia was associated with greater odds of adjusted ICU (odds ratio (OR) = 1.41, 95% CI = 1.31 to 1.54) and hospital death (OR = 1.36, 95% CI = 1.27 to 1.46). Hypoglycemia severity was associated with 'dose-response' increases in mortality. BG variability was associated with greater odds of adjusted ICU (1.5, 95% CI = 1.4 to 1.6) and hospital (1.4, 95% CI = 1.3 to 1.5) mortality, when compared with either hypoglycemia only or neither. CONCLUSIONS: In critically ill patients, both early hypoglycemia and early variability in BG are relatively common, and independently portend an increased risk for mortality.