Pre-hospital glycemia as a biomarker for in-hospital all-cause mortality in diabetic patients - a pilot study.

BACKGROUND: Type 2 Diabetes Mellitus (T2DM) presents a significant healthcare challenge, with considerable economic ramifications. While blood glucose management and long-term metabolic target setting for home care and outpatient treatment follow established procedures, the approach for short-term targets during hospitalization varies due to a lack of clinical consensus. Our study aims to elucidate the impact of pre-hospitalization and intra-hospitalization glycemic indexes on in-hospital survival rates in individuals with T2DM, addressing this notable gap in the current literature. METHODS: In this pilot study involving 120 hospitalized diabetic patients, we used advanced machine learning and classical statistical methods to identify variables for predicting hospitalization outcomes. We first developed a 30-day mortality risk classifier leveraging AdaBoost-FAS, a state-of-the-art ensemble machine learning method for tabular data. We then analyzed the feature relevance to identify the key predictive variables among the glycemic and routine clinical variables the model bases its predictions on. Next, we conducted detailed statistical analyses to shed light on the relationship between such variables and mortality risk. Finally, based on such analyses, we introduced a novel index, the ratio of intra-hospital glycemic variability to pre-hospitalization glycemic mean, to better characterize and stratify the diabetic population. RESULTS: Our findings underscore the importance of personalized approaches to glycemic management during hospitalization. The introduced index, alongside advanced predictive modeling, provides valuable insights for optimizing patient care. In particular, together with in-hospital glycemic variability, it is able to discriminate between patients with higher and lower mortality rates, highlighting the importance of tightly controlling not only pre-hospital but also in-hospital glycemic levels. CONCLUSIONS: Despite the pilot nature and modest sample size, this study marks the beginning of exploration into personalized glycemic control for hospitalized patients with T2DM. Pre-hospital blood glucose levels and related variables derived from it can serve as biomarkers for all-cause mortality during hospitalization.

J-curve relationship between long term glycemic control and mortality in diabetic patients with acute myocardial infarction undergoing percutaneous coronary intervention.

BACKGROUND: Intensive glycemic control is generally recommended for diabetic patients to reduce complications. However, the role of glycemic control in the mortality in diabetic patients with acute myocardial infarction (AMI) remained unclear. METHODS: We selected diabetic patients who measured HbA1c more than 3 times after AMI among 10,719 patients enrolled in the multicenter AMI registry. Patients (n = 1384) were categorized into five groups: according to mean HbA1c level: ≤ 6.5%, > 6.5 to ≤ 7.0%, > 7.0 to ≤ 7.5%, > 7.5 to ≤ 8.0% and > 8.0%. The primary endpoint was all-cause mortality. RESULTS: During a median follow-up of 6.2 years, the patients with a mean HbA1c of 6.5 to 7.0% had the lowest all-cause mortality. Compared to patients with mean HbA1c of 6.5 to 7.0%, the risk of all-cause mortality increased in subjects with mean HbA1c ≤ 6.5% (adjusted hazard ratio [HR] 2.00, 95% confidence interval [CI] 1.02-3.95) and in those with mean HbA1c > 8.0% (adjusted HR 3.35, 95% CI 1.78-6.29). In the subgroup analysis by age, the J-curve relationship between mean HbA1c and all-cause mortality was accentuated in elderly patients (age ≥ 65 years), while there was no difference in all-cause mortality across the HbA1c groups in younger patients (age < 65 years). CONCLUSIONS: The less strict glycemic control in diabetic patients with AMI would be optimal for preventing mortality, especially in elderly patients.

Improvement of glycemic control and reduction of major cardiovascular events in 18 cardiovascular outcome trials: an updated meta-regression.

BACKGROUND: Besides providing reassurance about cardiovascular (CV) safety of newer diabetes drugs, cardiovascular outcome trials (CVOTs) have also shown encouraging benefits on some CV endpoints. The contribution of the better glycemic control in the reduction of major cardiovascular events (MACE) remains an open question. The aim of this study is to evaluate the associations between the reduction of HbA1c and risk of MACE, MACE components, hospitalization for heart failure (HF) and all-cause death in CVOTs. METHODS: An electronic search up to July 2021 was conducted to determine eligible trials. Systematic review identified eighteen CVOTs reporting prespecified CV outcomes. Pooled summary estimates and 95% confidence intervals (CI) were calculated according to the random effects model using the Paule-Mandel method; restricted maximum likelihood estimators were used to estimate model parameters in the metaregression. RESULTS: The eighteen CVOTs evaluated 161,156 patients and included four trials with dipeptidyl-peptidase-4 inhibitors (DPP-4i), eight trials with glucagon-like peptide-1 receptor agonists (GLP-1RA) and six trials with sodium-glucose cotransporter-2 inhibitors (SGLT-2i). Random-effects model meta-analysis showed an association between treatment and risk of MACE (hazard ratio [HR] 0.90; 95% CI 0.86, 0.94, P < 0.001), with significant heterogeneity between studies (I2 = 45.2%, Q statistic P = 0.040). In meta-regression, there was an association between the reduction in HbA1c at the end of the trial and the HR reduction for MACE (beta = - 0.298, P = 0.007), with significant heterogeneity (I2 = 40%, Q statistic P = 0.04); this association was totally driven by the risk reduction of non-fatal stroke, which explained 100% of between-study variance (beta = - 0.531, R2 = 100%), without heterogeneity (I2 = 24%, Q statistic P = 0.206). There was no association between the reduction in HbA1c and the HR for heart failure or all-cause death. CONCLUSIONS: The reduction of HbA1c in eighteen CVOTs was significantly associated with reduction of non-fatal stroke, explaining all (R2 = 100%) of the between-study variance. While the contribution of glucose lowering in some CV benefits of newer agents does not influence their indications for the patient with type 2 diabetes, it may hopefully facilitate their use.

Impact of insulin therapy on the mortality of acute heart failure patients with diabetes mellitus.

BACKGROUND: Patients with diabetes mellitus (DM) have a higher prevalence of heart failure (HF) than those without it. Approximately 40 % of HF patients have DM and they tend to have poorer outcomes than those without DM. This study evaluated the impact of insulin therapy on mortality among acute HF patients. METHODS: A total of 1740 patients from the Korean Acute Heart Failure registry with DM were included in this study. The risk of all-cause mortality according to insulin therapy was assessed using the Cox proportional hazard models with inverse probability of treatment weighting to balance the clinical characteristics (pretreatment covariates) between the groups. RESULTS: DM patients had been treated with either oral hypoglycemic agents (OHAs) alone (n = 620), insulin alone (n = 682), or insulin combined with OHAs (n = 438). The insulin alone group was associated with an increased mortality risk compared with the OHA alone group (HR = 1.41, 95 % CI 1.21-1.66]). Insulin therapy combined with OHAs also showed an increased mortality risk (HR = 1.29, 95 % CI 1.14-1.46) compared with the OHA alone group. Insulin therapy was consistently associated with increased mortality risk, regardless of the left ventricular ejection fraction (LVEF) or HF etiology. A significant increase in mortality was observed in patients with good glycemic control (HbA1c < 7.0 %) receiving insulin, whereas there was no significant association in patients with poor glycemic control (HbA1c ≥ 7.0%). CONCLUSIONS: Insulin therapy was found to be associated with increased mortality compared to OHAs. The insulin therapy was harmful especially in patients with low HbA1c levels which may suggest the necessity of specific management strategies and blood sugar targets when using insulin in patients with HF.

The paradox of the glycemic gap: Does relative hypoglycemia exist in critically ill patients?

BACKGROUND & AIMS: Elevated glycemic gap, as the differences between measured glucose and hemoglobin A1c (HbA1c)-derived average glucose (ADAG) levels, is a marker of stress-induced hyperglycemia and is a predictor of mortality in critically ill patients. Whether low glycemic gaps are associated with outcomes in critically ill patients remains unclear. We investigated the association of different glycemic gaps on mortality in critically ill patients. METHODS: Totally 935 patients admitted to intensive care units (ICUs) were enrolled retrospectively after the exclusion of patients with absolute hypoglycemia, extreme hyperglycemia, and incomplete glycemic records. Patients were divided into 3 groups according to their glycemic gaps (<-29.7, -29.7-40, ≧40 mg/dL) at the time of ICU admission. The patients were followed for 1 year or until death. RESULTS: Patients with low glycemic gap (glycemic gap < -29.7 mg/dL), which implied relative hypoglycemia, had lower serum glucose levels, higher HbA1c levels, and greater disease severity. Compared with medium group (glycemic gap -29.7-40 mg/dL), both the low and the high glycemic gap (glycemic gap ≧40 mg/dL) groups had significantly greater 30-day (log-rank p = 0.0464) and 1-year mortality (log-rank p = 0.0016). However, only the low glycemic gap group was independently associated with greater in-hospital mortality after adjusting for comorbidities (adjusted OR 1.78, 95% CI 1.00-3.16, p = 0.048). CONCLUSION: This study revealed the presence of a U-shaped relationship between the glycemic gap and mortality in critically ill patients. Low glycemic gaps suggested relative hypoglycemia at the time of ICU admission, and were associated independently with greater in-hospital mortality.

Effect of glycemic gap upon mortality in critically ill patients with diabetes.

AIMS/INTRODUCTION: Hyperglycemia, hypoglycemia, and blood glucose fluctuation are associated with the outcome in critically ill patients, but the target of blood glucose control is debatable especially in patients with diabetes regarding the status of blood glucose control before admission to ICU. This study aimed to investigate the association between the glycemic gap which is calculated as the mean blood glucose level during the first 7 days after admission to ICU minus the A1C-derived average glucose and the outcome of critically ill patients with diabetes. METHOD: This study was undertaken in two intensive care units (ICUs) with a total of 30 beds. Patients with diabetes who were expected to stay for more than 24 h were enrolled, the HbA1c was tested within 3 days after admission and converted to the A1C-derived average glucose (ADAG) by the equation: ADAG = [(HbA1c * 28.7) - 46.7 ] * 18-1 , arterial blood glucose measurements were four per day routinely during the first 7 days after admission, the APACHE II score within the first 24 h, the mean blood glucose level (MGL), standard deviation (SD), and coefficient of variation (CV) during the first 7 days were calculated for each person, the GAPadm and GAPmean were calculated as the admission blood glucose and MGL minus the ADAG, respectively, the incidence of moderate hypoglycemia (MH) and severe hypoglycemia (SH), the total dosage of glucocorticoids and average daily dosage of insulin within 7 days, the duration of renal replacement therapy (RRT), ventilator-free hours, and non-ICU stay days within 28 days were also collected. The enrolled patients were divided into a survival group and a nonsurvival group according to survival or not at 28 days and 1 year after admission, and the relationship between parameters derived from blood glucose and mortality in the enrolled critically ill patients was explored. RESULTS: Five hundred and two patients were enrolled and divided into a survival group (n = 310) and a nonsurvival group (n = 192). It was shown that the two groups had a comparable level of HbA1c, the nonsurvivors had a greater APACHE II, MGL, SD, CV, GAPadm , GAPmean , and a higher incidence of hypoglycemia. A lesser duration of ventilator-free, non-ICU stay, and a longer duration of RRT were recorded in the nonsurvival group, who received a lower carbohydrate intake, a higher daily dosage of insulin and glucocorticoid. GAPmean had the greatest predictive power with an AUC of 0.820 (95%CI: 0.781-0.850), the cut-off value was 3.60 mmol/L (sensitivity 78.2% and specificity 77.3%). Patients with a low GAPmean tended to survive longer than the high GAPmean group 1 year after admission. CONCLUSIONS: Glycemic GAP between the mean level of blood glucose within the first 7 days after admission to ICU and the A1C-derived average glucose was independently associated with a 28 day mortality of critically ill patients with diabetes, the predictive power extended to 1 year. The incidence of hypoglycemia was associated with mortality either.

Microvascular Disease and Risk of Cardiovascular Events and Death From Intensive Treatment in Type 2 Diabetes: The ACCORDION Study.

OBJECTIVE: To assess whether the presence of microvascular complications modifies the effect of intensive glucose reduction on long-term outcomes in patients with type 2 diabetes. PATIENTS AND METHODS: Using ACCORD and ACCORDION study data, we investigated the risk of the primary outcome (nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death) or death in relation to the prerandomization type and extent of microvascular complications. Interaction terms were fitted in survival models to estimate the risk of both outcomes across levels of an overall microvascular disease score (range 0 to 100) and its individual components: diabetic nephropathy, retinopathy, and neuropathy. RESULTS: During a mean follow-up of 7.7 years, 1685 primary outcomes and 1806 deaths occurred in 9405 participants. The outcome-specific microvascular score was ≤30 in 97.9% of subjects for the primary outcome and in 98.5% for death. For participants with scores of 0 and 30, respectively, the 10-year absolute risk difference between intensive glucose control and standard treatment ranged from -0.8% (95% CI, -2.6, 1.1) to -3.0% -7.1, 1.1) for the primary outcome and from -0.5% (-2.1, 1.1) to 0.7% (-4.2, 5.6) for mortality. Retinopathy was associated with the largest effects, with a 10-year absolute risk difference of -6.5% (-11.1 to -2.0) for the primary outcome and -3.9% (-7.8 to 0.1) for mortality. CONCLUSION: This hypothesis-generating study identifies diabetic retinopathy as predictor of the beneficial effect of intensive glucose control on the risk of cardiovascular disease and possibly death. Further long-term studies are required to confirm these findings.

Glycemic control before admission is an important determinant of prognosis in patients with coronavirus disease 2019.

AIMS/INTRODUCTION: This study aimed to explore the association between glycemic control before admission with severity and mortality of coronavirus disease 2019, and tried to reveal the mechanism. MATERIALS AND METHODS: A total of 77 inpatients were grouped into sufficient control group (glycated hemoglobin [HbA1c] <6.5%, n = 49) and insufficient control group (HbA1c ≥6.5%, n = 28). Regression models were used to analyze the clinical data. RESULTS: Compared with patients with HbA1c <6.5, patients with HbA1c ≥6.5 showed higher heart rate (101 vs 89 b.p.m., P = 0.012), lower percutaneous oxygen saturation (93 vs 97%, P = 0.001), higher levels of multiple indicators of inflammation, such as white blood cell count (7.9 vs 5.9 × 109 /L, P = 0.019), neutrophil count (6.5 vs 4.1 × 109 /L, P = 0.001), high-sensitivity C-reactive protein (52 vs 30 mg/L, P = 0.025) and serum ferritin (1,287 vs 716 µg/L, P = 0.023), as well as lower levels of lymphocyte count (0.7 vs 0.8 × 109 /L, P = 0.049) at hospital admission. Thus, patients with HbA1c ≥6.5 were more likely to develop secondary respiratory infections (25 [89%] vs 33 [67%], P = 0.032) and acute respiratory distress syndrome (17 [61%] vs 14 [29%], P = 0.006) than patients with HbA1c <6.5, resulting in a higher proportion of critically ill patients (19 [68%] vs 18 [37%], P = 0.009) and non-survivors (13 [46%] vs 11 [22%], P = 0.029). After adjustment for potential risk factors, HbA1c was independently associated with in-hospital death. CONCLUSION: HbA1c was an independent risk factor for poor outcomes in coronavirus disease 2019 patients. Severe pulmonary infection and consequent acute respiratory distress syndrome might be the primary causes of death in insufficient glycemic control patients.

Thresholds for postprandial hyperglycemia and hypertriglyceridemia associated with increased mortality risk in type 2 diabetes patients: A real-world longitudinal study.

AIMS/INTRODUCTION: To identify thresholds for postprandial hyperglycemia and hypertriglyceridemia predictive of all-cause mortality in patients with type 2 diabetes. MATERIALS AND METHODS: A total of 1,928 patients with type 2 diabetes visited our clinic for the first time from 1995 to 1999 and were followed up for ≥1 year. During the first year, 2-h post-breakfast blood glucose (2h-BG) levels were measured in 1,122 patients (BG cohort) and postprandial serum triglyceride (ppTG) levels were measured in 1,826 patients (TG cohort). Patients were retrospectively followed until 2017 and administered questionnaires. Associations between 2h-BG and ppTG levels and mortality risk were assessed by the multivariate Cox regression analysis. RESULTS: Over of 17,429 person-years, 162 deaths occurred in the BG cohort, and over 28,026 person-years, 253 deaths occurred in the TG cohort. Hazard ratios (HRs) with 95% confidence intervals for all-cause mortality per 1-standard deviation increases in 2h-BG and ppTG were 1.34 (1.08-1.67) and 1.24 (1.06-1.45), respectively. HRs showed increasing trends across quintiles of 2h-BG (P = 0.034) and ppTG (P = 0.007). The HR was significantly elevated (2.37, 1.26-4.47) in the fifth quintile of 2h-BG (≥13.8 mmol/L) compared with the first quintile (<7.0 mmol/L; P = 0.008). The HR was also significantly elevated (1.63, 1.03-2.60) in the fifth quintile of ppTG (≥2.30 mmol/L) compared with the first quintile (<0.91 mmol/L; P = 0.038). CONCLUSIONS: Postprandial hyperglycemia and hypertriglyceridemia were associated with all-cause mortality in patients with type 2 diabetes. We propose thresholds of 13.8 mmol/L 2h-BG and 2.30 mmol/L ppTG to identify patients at increased risk of mortality.

Empagliflozin reduced long-term HbA1c variability and cardiovascular death: insights from the EMPA-REG OUTCOME trial.

BACKGROUND: Glucose variability has been associated with cardiovascular outcomes in type 2 diabetes, however, the interplay between glucose variability, empagliflozin and cardiovascular death has not been explored. In the EMPA-REG OUTCOME trial, empagliflozin reduced the risk of cardiovascular death by 38%. We explore post-hoc the association between HbA1c variability and cardiovascular death, and the potential mediating effects of HbA1c variability on empagliflozin's cardiovascular death reductions. METHODS: In total, 7,020 patients with type 2 diabetes and established cardiovascular disease received placebo, empagliflozin 10 mg or 25 mg. We defined within-patient HbA1c variability as standard deviation, coefficient of variation and range of HbA1c measurements (%) post-baseline. First, we compared HbA1c variability until week 28 and 52 by Wilcoxon tests. We explored the association between cardiovascular death and HbA1c variability in placebo and pooled empagliflozin arms separately with landmark analyses at week 28 and 52, and additionally with HbA1c variability as a time-dependent co-variate. We used Cox regression models adjusted for baseline risk factors including changes in HbA1c from baseline to week 12, and the interaction term HbA1c variability* treatment. RESULTS: HbA1c variability was lower with empagliflozin compared to placebo. In all Cox analyses, high HbA1c variability increased the risk for cardiovascular death in both treatment arms with no interaction with treatment: e.g. an increase in HbA1c variability of one unit for the standard deviation at week 28 was associated with a subsequent increased risk of CV death with HRs of 1.97 (95% CI 1.36, 2.84) and 1.53 (1.01, 2.31) in the placebo and empagliflozin groups, separately, interaction p-value 0.3615. CONCLUSIONS: HbA1c variability was reduced by empagliflozin and high values of HbA1c variability were associated with an increased risk of cardiovascular death. Empagliflozin's reduction in cardiovascular death did not appear to be mediated by reductions in HbA1c variability. ClinicalTrials.gov number, NCT01131676.

The Interaction of Acute and Chronic Glycemia on the Relationship of Hyperglycemia, Hypoglycemia, and Glucose Variability to Mortality in the Critically Ill.

OBJECTIVES: To determine the relationship between preadmission glycemia, reflected by hemoglobin A1c level, glucose metrics, and mortality in critically ill patients. DESIGN: Retrospective cohort investigation. SETTING: University affiliated adult medical-surgical ICU. PATIENTS: The investigation included 5,567 critically ill patients with four or more blood glucose tests and hemoglobin A1c level admitted between October 11, 2011 and November 30, 2019. The target blood glucose level was 90-120 mg/dL for patients admitted before September 14, 2014 (n = 1,614) and 80-140 mg/dL or 110-160 mg/dL for patients with hemoglobin A1c less than 7% or greater than or equal to 7% (n = 3,953), respectively, subsequently. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients were stratified by hemoglobin A1c: less than 6.5.(n = 4,406), 6.5-7.9% (n = 711), and greater than or equal to 8.0% (n = 450). Increasing hemoglobin A1c levels were associated with significant increases in mean glycemia, glucose variability, as measured by coefficient of variation, and hypoglycemia (p for trend < 0.0001, < 0.0001, and 0.0010, respectively). Among patients with hemoglobin A1c less than 6.5%, mortality increased as mean glycemia increased; however, among patients with hemoglobin A1c greater than or equal to 8.0%, the opposite relationship was observed (p for trend < 0.0001 and 0.0027, respectively). Increasing glucose variability was independently associated with increasing mortality only among patients with hemoglobin A1c less than 6.5%. Hypoglycemia was independently associated with higher mortality among patients with hemoglobin A1c less than 6.5% and 6.5-7.9% but not among those with hemoglobin A1c greater than or equal to 8.0%. Mean blood glucose 140-180 and greater than or equal to 180 mg/dL were independently associated with higher mortality among patients with hemoglobin A1c less than 6.5% (p < 0.0001 for each). Among patients with hemoglobin A1c greater than or equal to 8.0% treated in the second era, mean blood glucose greater than or equal to 180 mg/dL was independently associated with decreased risk of mortality (p = 0.0358). CONCLUSIONS: Preadmission glycemia, reflected by hemoglobin A1c obtained at the onset of ICU admission, has a significant effect on the relationship of ICU glycemia to mortality. The different responses to increasing mean glycemia support a personalized approach to glucose control practices in the ICU.

Diabetes, obesity and COVID-19: A complex interplay.

With the accumulation of observational data showing an association of metabolic co-morbidities with adverse outcomes from COVID-19, there is a need to disentangle the contributions of pre-existing macro- and microvascular disease, obesity and glycaemia. This article outlines the complex mechanistic and clinical interplay between diabetes and COVID-19, the clinical and research questions which arise from this relationship, and the types of studies needed to answer those questions. The authors are clinicians and academics working in diabetes and obesity medicine, but the article is pitched to an audience of generalists with clinical experience of or interest in the management of COVID-19.

Association between intensive glycemic control and mortality in elderly diabetic patients in the primary care: A retrospective cohort study.

OBJECTIVE: To examine the association between the most recent HbA1c values and the mortality of elderly Type 2 Diabetic (T2DM) patients managed in the public primary care setting and to explore the associating risk factors. DESIGN: Retrospective cohort study. SUBJECTS: All T2DM patients aged 65 or above, who attended a public primary care clinic for regular follow up from 01/01/2012 to 31/12/2012 were included. Their follow up status till 31/12/2017 was reviewed. Those who were deceased on or before 31/12/2017 were matched randomly with controls that were alive in the same cohort for comparison. MAIN OUTCOME MEASURES: Patients' demographics, smoking status, duration of T2DM, biochemical parameters including the most recent HbA1c, lipid profile, renal function test, drug profile, co-morbidities and all-cause mortality were retrieved from Hospital Authority's CDARS and CMS systems. RESULTS: Both high (>8.0%) and low (<6.5%) HbA1c values were associated with increased odd ratio of all-cause mortality among T2DM elderly patients treated in the primary care. There was a 3-fold increase in odd ratio when the HbA1c reading was very low (<6.0%). Associated risk factors for all-cause mortality in elderly T2DM patients included smoker status, lower BMIs, and higher LDL levels and use of sulphonylureas. CONCLUSIONS: Glycemic target for elderly T2DM patients should be approached cautiously. Over-aggressive treatment may lead to increased mortality among elderly T2DM patients.

Poor glycemic control is associated with significant increase in major limb amputation and adverse events in the 30-day postoperative period after infrainguinal bypass.

OBJECTIVE: Understanding modifiable risk factors to improve surgical outcomes is increasingly important in value-based health care. There is an established association between peripheral artery disease (PAD), diabetes, and limb loss, but less is known about expected outcomes after revascularization relative to the degree of glycemic control. The purpose of this study was to determine the association between hemoglobin A1c (HbA1c) management in diabetics and surgical outcomes after open infrainguinal bypass. METHODS: The Vascular Quality Initiative infrainguinal bypass module was used to identify adult patients (≥18 years) with a history of diabetes who underwent bypass for PAD between 2011 and 2018. Exclusion criteria included missing or illogical HbA1c values and if the indication for the limb treated was not PAD. Patients were categorized by preoperative HbA1c levels as low severity/controlled (<7.0%), high severity (7.0%-10.0%), and very high severity (>10.0%). Primary outcomes were 30-day incidence of major adverse cardiac events (MACEs), major adverse limb events (MALEs), ipsilateral amputation, and 1-year all-cause mortality. Thirty-day outcomes were calculated using multivariable regression to compute odds ratios; hazard ratios were calculated for all-cause mortality. All analyses were adjusted for demographics, comorbidities, and clinical characteristics. RESULTS: The final sample included 30,813 operations (27,988 unique patients): 17,517 (57%) nondiabetic patients, 5194 patients with low-severity/controlled diabetes, and 8102 (26%) patients with poorly controlled diabetes, including 5531 (70%) treated with insulin. There were 6439 (21%) patients with high-severity HbA1c values and 1663 (5%) patients with very-high-severity HbA1c values. Those with a very high HbA1c level were more likely to be nonwhite, insulin dependent, and active smokers. Compared with nondiabetics, patients with very-high-severity HbA1c had an 81% increase in MACEs and 31% increase in MALEs, whereas patients with high-severity HbA1c only had a 49% increase in MACEs and a 12% increase in MALEs. Each one-step increase in severity category (eg, low to high to very high) was associated with an average 29% increase in the odds of MACEs and an 8% increase in the odds of MALEs. CONCLUSIONS: Uncontrolled diabetes with an HbA1c value >10.0% was associated with significantly worse 30-day surgical outcomes. Patients with incrementally better glycemic control (HbA1c level of 7.0%-10.0%) did not suffer the same rate of complications, suggesting that preoperative attempts at improving diabetes management even slightly could lead to improved surgical outcomes in open infrainguinal bypass patients.

Poor metabolic control in childhood strongly correlates to diabetes-related premature death in persons <30 years of age-A population-based cohort study.

BACKGROUND/OBJECTIVE: The importance of metabolic control in childhood regarding excess risk of death in young persons has not been well studied. This registry-based study aimed to investigate mortality rates and cause of death related to metabolic control in young persons (≤29 years) in Sweden with type 1 diabetes. METHODS: All 12 652 subjects registered in the Swedish pediatric diabetes quality register, from 2006 to 2014, were included. Data were merged with the Swedish Cause of Death Register. Standardized mortality rates were calculated using the official Swedish population register. RESULTS: Of 68 deaths identified, 38.2% of the deaths were registered as being due to diabetes whereof the major cause of death was acute complications. Overall standardized mortality ratio was 2.7 (2.1-3.4, 95% CI). Subjects who died from diabetes had a mean HbA1c of 74 ± 19 mmol/mol (8.9 ± 1.7%) during childhood vs 62 ± 12 mmol/mol (7.8 ± 1.1%) in those still alive (P < .001). CONCLUSIONS: In this nationwide cohort of young subjects with type 1 diabetes, there was a high mortality rate compared to the general population. Mean HbA1c in childhood was significantly higher in those who died from diabetes, compared to subjects who were still alive. To decrease mortality in young persons with type 1 diabetes it is essential not only to achieve but also to maintain a good metabolic control during childhood and adolescence.

Impact of Glycemic Control on Risk of Mortality and Complications in Trauma Patients.

The impact of diabetes mellitus on outcomes in trauma patients continues to attract interest, but data regarding the impact of longer term glycemic control are still lacking. This study evaluated the effect of long-term glycemic control on outcomes. Trauma patients presenting to the University of Alabama at Birmingham Hospital, between 2011 and 2018, were stratified into 4 groups, based on admission Hemoglobin A1c (HbA1c) level. A Poisson regression with robust error variance was used to estimate risk ratios and associated confidence intervals for the association between HbA1C and specific outcomes. A total of 26,134 patients were included. Patients without diabetes or excellent glycemic control (ND-EGC) had shorter hospital and ICU stay as well as fewer days on ventilator support. Compared with those with ND-EGC, the renal failure risk was higher for those with moderate (risk ratio [RR] 2.53, 95% confidence interval [CI] 1.76-3.63) and poor glycemic control (RR 3.20, 95% CI 2.18-4.71). Urinary tract infection risk was also higher for those with poor control (RR 1.83, 95% CI 1.17-2.02). Observed associations were of similar strength for pneumonia and mortality for all less-than-excellent glycemic control groups. In conclusion, trauma patients with worse long-term glycemic control had increased risks of developing pneumonia, renal failure, urinary tract infection, and death. HbA1c can prognosticate the risks and outcomes of diabetic trauma patients.