Prevalence of elevated hemoglobin A1c among patients admitted to the hospital without a diagnosis of diabetes

The relative and combined ability of triglyceride-glucose index and stress hyperglycemia ratio to predict major adverse cardio-cerebral events in patients with multivessel coronary artery disease

BACKGROUND

Cardiovascular disease continues to be the leading cause of global mortality and disability, particularly posing elevated risks in patients diagnosed with multivessel disease (MVD). Efficient risk stratification in MVD patients is crucial for improving prognosis, prompting investigation into novel biomarkers such as the triglyceride-glucose index (TyG index) and the stress hyperglycemia ratio (SHR).

METHODS

This study enrolled a cohort comprising 679 patients diagnosed with MVD who underwent coronary angiography at Tianjin Chest Hospital. Patients were stratified into four groups based on their TyG index levels, categorized as TyG index-L and TyG index-H, and SHR levels, categorized as SHR-L and SHR-H. The primary endpoint was the occurrence of major adverse cardio-cerebral events (MACCEs). This Study conducted univariate and multivariable Cox regression analyses to assess the association between TyG index and SHR levels, both as continuous and categorical variables, in relation to MACCEs. Kaplan-Meier survival curves were employed to evaluate the correlation among patient groups.

RESULTS

During a mean follow-up of 61 months, 153 cases of MACCEs were recorded. The TyG index and SHR served as independent predictors of long-term prognosis in patients with MVD, whether considered as continuous or categorical variables. Multivariable analysis revealed that patients with TyG index-H + SHR-H group exhibited the highest incidence of MACCEs (HR: 2.227; 95% CI 1.295-3.831; P = 0.004). The area under the curve (AUC) for predicting MACCEs was 0.655 for TyG index, 0.647 for SHR, and 0.674 when combined.

CONCLUSION

This study underscores the potential of the TyG index and SHR as independent and combined predictive markers for MACCEs in patients with MVD. Their integrated assessment enhances risk stratification, providing valuable insights for personalized treatment strategies aimed at optimizing patient prognosis.

Higher mortality and longer length of stay in hospitalized patients with newly diagnosed diabetes

AIMS

We investigated the association between diabetes status at admission and in-hospital outcomes in all hospitalized patients, regardless of the reason for admission.

METHODS

All individuals aged 20 years or older who were admitted to Yongin Severance Hospital between March 2020 and February 2022 were included in study. Subjects were categorized into three groups: non-DM, known DM, and newly diagnosed DM, based on medical history, anti-diabetic medications use, and laboratory test. Hospitalization-related outcomes, including in-hospital mortality and length of hospital stay, were compared between groups.

RESULTS

33,166 participants were enrolled. At hospitalization, 6,572 (19.8 %) subjects were classified as known DM, and another 2,634 (7.9 %) subjects were classified as newly diagnosed DM. In-hospital mortality was highest in newly diagnosed DM (HR 1.89, 95% CI 1.58-2.26, p < 0.001) followed by known DM (HR 1.41, 95% CI 1.18-1.69, p < 0.001) compared to non-DM. Length of hospital stay was significantly longer in newly diagnosed DM (median [IQR] 9.0 [5.0-18.0],days) than known DM (median [IQR] 5.0 [3.0-10.0],days)(p < 0.001) and non-DM (median [IQR] 4.0 [2.0-7.0],days). After adjusting for multiple covariates, newly diagnosed diabetes was independently associated with increased in-hospital mortality (p < 0.001).

CONCLUSIONS

Diabetes status at admission was closely linked to hospitalization-related outcomes. Notably, individuals with newly diagnosed diabetes demonstrated a higher risk of in-hospital mortality and a prolonged length of hospital stay.

The relative and combined ability of stress hyperglycemia ratio and N-terminal pro-B-type natriuretic peptide to predict all-cause mortality in diabetic patients with multivessel coronary artery disease

BACKGROUND

Stress hyperglycemia ratio (SHR) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) are independently associated with increased mortality risk in diabetic patients with coronary artery disease (CAD). However, the role of these biomarkers in patients with diabetes and multivessel disease (MVD) remains unknown. The present study aimed to assess the relative and combined abilities of these biomarkers to predict all-cause mortality in patients with diabetes and MVD.

METHODS

This study included 1148 diabetic patients with MVD who underwent coronary angiography at Tianjin Chest Hospital between January 2016 and December 2016. The patients were divided into four groups according to their SHR (SHR-L and SHR-H) and NT-proBNP (NT-proBNP-L and NT-proBNP-H) levels. The primary outcome was all-cause mortality. Multivariate Cox regression analyses were performed to evaluate the association of SHR and NT-proBNP levels with all-cause mortality.

RESULTS

During a mean 4.2 year follow-up, 138 patients died. Multivariate analysis showed that SHR and NT-proBNP were strong independent predictors of all-cause mortality in diabetic patients with MVD (SHR: HR hazard ratio [2.171; 95%CI 1.566-3.008; P < 0.001; NT-proBNP: HR: 1.005; 95%CI 1.001-1.009; P = 0.009). Compared to patients in the first (SHR-L and NT-proBNP-L) group, patients in the fourth (SHR-H and NT-proBNP-H) group had the highest mortality risk (HR: 12.244; 95%CI 5.828-25.721; P < 0.001). The areas under the curve were 0.615(SHR) and 0.699(NT-proBNP) for all-cause mortality. Adding either marker to the original models significantly improved the C-statistic and integrated discrimination improvement values (all P < 0.05). Moreover, combining SHR and NT-proBNP levels into the original model provided maximal prognostic information.

CONCLUSIONS

SHR and NT-proBNP independently and jointly predicted all-cause mortality in diabetic patients with MVD, suggesting that strategies to improve risk stratification in these patients should incorporate SHR and NT-porBNP into risk algorithms.

Stress hyperglycemia ratio linked to worse prognosis in Cardiac Intensive Care Unit patients: A retrospective observational study

AIMS

This study aimed to delineate correlation between stress hyperglycemia ratio (SHR) and clinical outcomes among patients in the cardiac intensive care unit (CICU).

METHODS

Participants were categorized based on their SHR threshold values. Key outcomes were short-term mortality and major adverse cardiovascular events (MACEs) at 1-year follow-up. The association between SHR and outcomes was estimated using inverse probability of treatment weighting (IPTW) and Kaplan-Meier analyses. The C-statistic was used to gauge the predictive capability of SHR.

RESULTS

The study included 1,133 patients from the Medical Information Mart for Intensive Care IV and 412 from the Second Affiliated Hospital of Wenzhou Medical University. Kaplan-Meier curves revealed that individuals with elevated SHR exhibited higher 90-day mortality and MACEs. When considering SHR levels and diabetes status simultaneously, those with increased SHR but non-diabetes had the highest 90-day mortality and MACEs. SHR was associated with short-term mortality and MACEs (HRadjusted 1.63 95%CI 1.15-2.30; HRIPTW 1.47 95%CI 1.05-2.05). Upon integrating SHR into the foundational model, the C-statistic was 0.821, outperforming other hyperglycemia metrics.

CONCLUSION

SHR is a valuable indicator for predicting poor outcomes in CICU patients. Its utility spans potential risk stratification and offers insights for tailoring prognostic treatments to CICU patients.

Inter-relationships between gastric emptying and glycaemia: Implications for clinical practice

Gastric emptying (GE) exhibits a wide inter-individual variation and is a major determinant of postprandial glycaemia in health and diabetes; the rise in blood glucose following oral carbohydrate is greater when GE is relatively more rapid and more sustained when glucose tolerance is impaired. Conversely, GE is influenced by the acute glycaemic environment acute hyperglycaemia slows, while acute hypoglycaemia accelerates it. Delayed GE (gastroparesis) occurs frequently in diabetes and critical illness. In diabetes, this poses challenges for management, particularly in hospitalised individuals and/or those using insulin. In critical illness it compromises the delivery of nutrition and increases the risk of regurgitation and aspiration with consequent lung dysfunction and ventilator dependence. Substantial advances in knowledge relating to GE, which is now recognised as a major determinant of the magnitude of the rise in blood glucose after a meal in both health and diabetes and, the impact of acute glycaemic environment on the rate of GE have been made and the use of gut-based therapies such as glucagon-like peptide-1 receptor agonists, which may profoundly impact GE, in the management of type 2 diabetes, has become commonplace. This necessitates an increased understanding of the complex inter-relationships of GE with glycaemia, its implications in hospitalised patients and the relevance of dysglycaemia and its management, particularly in critical illness. Current approaches to management of gastroparesis to achieve more personalised diabetes care, relevant to clinical practice, is detailed. Further studies focusing on the interactions of medications affecting GE and the glycaemic environment in hospitalised patients, are required.

Endocrinology specialty service for inpatients: an unmet growing need

BACKGROUND

There is recent concern regarding the documented mismatch between demand and supply, vis-à-vis the growing need for trained endocrinologists unmet by parallel rise in the world workforce of endocrinologist. Due to the increasing complexity of disease in inpatients, in recent years we have experienced a growing demand for inpatient endocrine consults. Surprisingly, the need for the endocrinology subspecialty in the overall care of inpatients in the current setting of general hospitals has received little attention.

METHODS

A retrospective analysis of endocrine consult service based on solicited consults carried out during 3 consecutive months.

RESULTS

During 3 months, there were 767 consults, comprised of 156 diabetes referrals and 611 endocrine/metabolic consult requests. The 611 "non-glucocentric" consult requests were related to 295 inpatients (2.1 ± 2.7 consults/patient). Mean patient age was 58.9 ± .18 years (range 21-92), with some F/M preponderance (58/42%). Requests for endocrine consults were evenly distributed (49.8%, 50.2%) between internal medicine and surgery wards. Case distribution was as follows: thyroid 45.4%, calcium & bone 11.5%, pituitary 12%, adrenal 10% and all others 8.1-0.7%. The mean response time was 4.4 ± 2.7 h. The consults had a discernible effect on the patients' disease management in 60% of the patients. Of these, the consults modified the hospital treatment in 74%, the discharge treatment recommendations in 19% and the diagnosis in 7%.

CONCLUSION

At a large medical center, endocrine consults were requested for ~ 3.3% of all admitted inpatients. The endocrine consults modified pre-consult diagnosis or treatment in ~ 60% of the cases. Contrary to its common image as an exclusively outpatient-based subspecialty, endocrinology practiced by specialists and endocrine trainees has a notable role in the daily care of inpatients admitted to a referral general hospital.

Case-control Investigation of Previously Undiagnosed Diabetes in the Critically Ill

Context

The outcome of patients requiring intensive care can be influenced by the presence of previously undiagnosed diabetes (undiagDM).

Objective

This work aimed to define the clinical characteristics, glucose control metrics, and outcomes of patients admitted to the intensive care unit (ICU) with undiagDM, and compare these to patients with known DM (DM).

Methods

This case-control investigation compared undiagDM (glycated hemoglobin A1c [HbA1c] ≥ 6.5%, no history of diabetes) to patients with DM. Glycemic ratio (GR) was calculated as the quotient of mean ICU blood glucose (BG) and estimated preadmission glycemia, based on HbA1c ([28.7 × HbA1c] - 46.7 mg/dL). GR was analyzed by bands: less than 0.7, 0.7 to less than or equal to 0.9, 0.9 to less than 1.1, and greater than or equal to 1.1. Risk-adjusted mortality was represented by the Observed:Expected mortality ratio (OEMR), calculated as the quotient of observed mortality and mortality predicted by the severity of illness (APACHE IV prediction of mortality).

Results

Of 5567 patients 294 (5.3%) were undiagDM. UndiagDM had lower ICU mean BG (P < .0001) and coefficient of variation (P < .0001) but similar rates of hypoglycemia (P = .08). Mortality and risk-adjusted mortality were similar in patients with GR less than 1.1 comparing undiagDM and DM. However, for patients with GR greater than or equal to 1.1, mortality (38.5% vs 10.3% [P = .0072]) and risk-adjusted mortality (OEMR 1.18 vs 0.52 [P < .0001]) were higher in undiagDM than in DM.

Conclusion

These data suggest that DM patients may develop tolerance to hyperglycemia that occurs during critical illness, a protective mechanism not observed in undiagDM, for whom hyperglycemia remains strongly associated with higher risk of mortality. These results may shed light on the natural history of diabetes.

Glycated hemoglobin level dynamics in COVID-19 survivors: 12 months follow-up study after discharge from hospital

INTRODUCTION

One of the stages of reproduction of SARS-CoV-2 is the S-protein glycosylation to facilitate penetration into target cells. It has been suggested that SARS-CoV-2 is able to enter erythrocytes, interact with heme and porphyrin, which could influence HbA1c levels. Assessment of HbA1c levels in individuals with acute COVID-19 and after recovery may show clinical relevance of this hypothesis.

AIM

To assess HbA1c levels in patients with COVID-19 in the acute phase and in early (6-8 weeks) and late (52±2 weeks) periods after recovery.

MATERIALS AND METHODS

We conducted a multicenter prospective study, which included patients hospitalized in Endocrinology Research Centre and the City Clinical Hospital № 52" diagnosed with COVID-19, virus identified/ not identified. Patients were divided into three groups according to baseline HbA1c level and the presence or absence of previous history of diabetes previous history of diabetes mellitus (DM): HbA1c ≤ 6.0%, HbA1c > 6.0% and patients with DM. Patients were examined during the acute COVID-19 phase and in early (6-8 weeks) and late (52±2 weeks) periods after recovery. Oral glucose tolerance test was performed in the group with initial HbA1c > 6.0% to clarify the diagnosis.

RESULTS

We included 194 patients in the study. During the follow-up, 52 patients were examined in 6-8 week period: 7 with HbA1c ≤ 6.0%, 34 with HbA1c > 6.0%, 11-with previously diagnosed DM. Carbohydrate metabolism assessment in the later stages (52±2 weeks) after recovery was performed in 78 patients: 33 patients with HbA1c ≤ 6.0%, 36 patients with HbA1c > 6.0% and 9 patients with previously established diabetes. HbA1c median in patients with HbA1c ≤ 6.0% was 5.7% [5.3;5.8], with HbA1c>6.0% -6.4% [6.2; 6.6], with previously diagnosed DM-7.7% [7.2; 8.9]. Statistically significant decrease in HbA1c over time 6-8 weeks after extracts were obtained in both groups of individuals without a history of DM (Wilcoxon test, p<0.05). After 52±2 weeks we observed HbA1c decrease in all three groups (Fridman test, p<0.05): in patients with HbA1c ≤ 6.0% median HbA1c was 5.5[5.3;5.7], with HbA1c>6.0% - 6.1[6.15;6.54], with previously diagnosed DM-7.8 [5.83; 8.08]. Development of DM after 52±2 weeks was recorded in 7.24% of all examined patients without a history of DM, which is 16.6% of the total number of patients examined in dynamics with HbA1c > 6.0%.

CONCLUSION

HbA1c elevation during the acute phase of COVID-19 may be false due to the effect of SARS-CoV-2 on hemoglobin kinetics and/or detection on the surface of the SARS-CoV-2 virion highly glycosylated S-proteins by high performance liquid chromatography determinations. Upon detection HbA1c > 6.0% in patients with COVID-19 in the active phase of the disease without concomitant hyperglycemia re-determine the level of HbA1c after recovery is recommended.

Stress hyperglycemia ratio and neutrophil to lymphocyte ratio are reliable predictors of new-onset atrial fibrillation in patients with acute myocardial infarction

Background

The occurrence of new-onset atrial fibrillation (NOAF) post-acute myocardial infarction (AMI) is associated with worse outcomes. In this study, we sought to assess the predictive effect of stress hyperglycemia ratio (SHR) and neutrophil to lymphocyte ratio (NLR) to predict NOAF in patients with AMI.

Materials and methods

We recruited 3,194 individuals with AMI but free of atrial fibrillation (AF). AMI cases were stratified into groups according to SHR and NLR quartiles and were further categorized based on diabetes status. High SHR and high NLR were defined as the highest quartile of SHR and NLR. A nomogram incorporating risk factors for NOAF was constructed using multivariate logistic regression analyses. The performance of the novel nomogram was tested for predictive performance, agreement between the actual and predicted probability, and clinical utility using area under the curve (AUC), bootstrapped calibration curves, and decision curve analysis, respectively.

Result

A total of 245 (7.67%) patients developed NOAF post-AMI. The NOAF cases had higher values of SHR and NLR than non-NOAF patients after AMI regardless of diabetes status. After adjusting for potential confounders, high SHR and NLR were independently associated with NOAF post-AMI. Moreover, the novel nomogram incorporating high NLR and high SHR for NOAF risk estimation in patients with AMI showed satisfactory performance assessed by the AUC, calibration curves, decision curve analysis.

Conclusion

SHR and NLR were independently associated with NOAF in AMI patients. The constructed novel nomogram that incorporates SHR and NLR might assist in NOAF risk stratification post-AMI.

Correlation between the Control of Blood Glucose Level and HbA1C and the Incidence of Surgical Site Infection after Emergent Surgery for the Lower Limb Fracture among Type II DM Patients Aged More Than 50 Years Old

This is the first study focusing on perioperative blood glycemic monitoring for the incidence of surgical site infection (SSI) among patients with type II DM (T2DM) during the 1-year follow-up after emergent orthopedic surgery. We retrospectively collected the data of 604 patients who had received surgery for unilateral lower limb traumatic fracture from January 2011 to January 2021, including 215 men and 389 women with a mean age of 71.21 and a mean BMI of 25.26. In total, 84 (13.9%) of them developed SSI during the 1-year follow-up. Higher preoperative and postoperative -3-month hemoglobin A1c (HbA1c) and AC blood glucose and the presence of rheumatoid arthritis were all associated with increased rates of SSI. The thresholds for predicting SSI were the following: (1) preoperative HbA1c > 7.850% (area under curve [AUC] = 0.793); (2) postoperative HbA1c > 6.650% (AUC = 0.648); (3) preoperative AC blood glucose > 130.50 mg/dL (AUC = 0.773); and (4) postoperative AC blood glucose > 148.5 mg/dL (AUC = 0.709) by receiver-operating characteristic curve method. These findings may provide a useful control guideline for patients with T2DM older than 50 years old and who received surgery for a lower limb fracture in the prevention of postoperative SSI.

Assessment of glycaemic status in adult hospital patients for the detection of undiagnosed diabetes mellitus: A systematic review

AIM

In-hospital blood glucose testing is commonplace, particularly in acute care. In-hospital screening for hyperglycaemia may present a valuable opportunity for early diabetes diagnosis by identifying at-risk individuals. This systematic review investigates the extent to which random blood glucose testing in acute and inpatient hospital settings predicts undiagnosed diabetes.

METHODS

Two databases were systematically searched for studies in which adult patients received an in-hospital random blood glucose test, followed by a diagnostic HbA1c test. The primary outcome was the proportion of hyperglycaemic individuals diagnosed with diabetes by HbA1c.

RESULTS

A total of 3245 unique citations were identified, and 12 were eligible for inclusion. Ten different blood glucose thresholds, ranging from 5.5 to 11.1 mmol/L, were used to detect hyperglycaemia, indicating that there is no consistent clinical definition for hyperglycaemia. The proportion of participants with hyperglycaemia in each study ranged from 3.3% to 62.1%, with a median (Q₁ , Q₃ ) of 34.5% (5.95%, 61.1%). The proportion of hyperglycaemic participants found to have a diabetes-range HbA1c varied from 4.1% to 90%, with a median (Q₁ , Q₃ ) of 18.9% (11.5%, 61.1%). Meta-analysis was not possible due to substantial heterogeneity between study protocols.

CONCLUSIONS

All studies consistently identified a proportion of hyperglycaemic hospital patients as having a diabetes-range HbA1c, showing that in-hospital blood glucose screening can facilitate diabetes diagnosis. The proportion of hyperglycaemic participants with undiagnosed diabetes varied substantially, indicating a need for further research and consistency in defining in-hospital hyperglycaemia. This may aid the development of a standardised screening protocol to identify people with possible undiagnosed diabetes.

Quantitative Analysis of Stress-Induced Hyperglycemia and Intracranial Blood Volumes for Predicting Mortality After Intracerebral Hemorrhage

Stress-induced hyperglycemia (SIH) is a neuroendocrine response to acute illness. Although SIH has an adverse association with intracerebral hemorrhage (ICH), quantitative measures and determinants of SIH are not well delineated. In the present study, we objectively evaluated SIH using glycemic gap (GG) and identified its radiological and clinical determinants, with a 5-year retrospective review of charts of ICH patients. We calculated GG using the regression equation (GG = AG -28.7 × HbA1c + 46.7) and evaluated whether GG is an independent predictor of mortality using a multivariate regression model. Radiological volumes of different intracranial compartments were determined using image segmentation software. We correlated GG with different clinical and radiological parameters using Pearson correlation coefficient (PCC), Spearman's rank correlation (SRC), and Wilcoxon rank sum test. Then, we calculated the value of GG associated with mortality. Out of 328 patients, 238 (73%) survived hospitalization and 90 (27%) expired. GG was found to be an independent predictor of mortality (r=0.008, p=0.04). Additionally, GG was positively correlated with intraparenchymal hemorrhage (IPH) volume (PCC=0.185, p<0.01) and intraventricular hemorrhage (IVH) volume (PCC=0.233, p<0.01) and negatively correlated with cerebrospinal fluid (CSF) volume (PCC=-0.151, p<0.01) and brain tissue volume (PCC=-0.099, p=0.08). GG was positively correlated with patients' ICH score (SRC=0.377, p<0.01), Glasgow Coma Scale (GCS) (PCC=-0.356, p<0.01), hydrocephalus (p<0.01), and IVH in the third ventricle (p<0.01). The univariate logistic regression model identified 30.0 mg/dl as the value of GG (AUC=0.655, p<0.01) that predicted mortality with 52.2% sensitivity and 75.2% specificity and defined SIH. In conclusion, GG independently predicts mortality in ICH patients and positively correlates with IPH and IVH volumes. However, causality between the two is not established and would require specifically designed studies.

Association Between Stress Hyperglycemia Ratio and In-hospital Outcomes in Elderly Patients With Acute Myocardial Infarction

Backgrounds: Emerging evidence suggests that stress hyperglycemia ratio (SHR), an index of relative stress hyperglycemia, is of great prognostic value in acute myocardial infarction (AMI), but current evidence is limited in elderly patients. In this study, we aimed to assess whether SHR is associated with in-hospital outcomes in elderly patients with AMI.

Methods: In this retrospective study, patients who were aged over 75 years and diagnosed with AMI were consecutively enrolled from 2015, January 1st to 2019, December 31th. Admission blood glucose and glycosylated hemoglobin (HbA1C) during the index hospitalization were used to calculate SHR. Restricted quadratic splines, receiver-operating curves, and logistic regression were performed to evaluate the association between SHR and in-hospital outcomes, including in-hospital all-cause death and in-hospital major adverse cardiac and cerebrovascular events (MACCEs) defined as a composite of all-cause death, cardiogenic shock, reinfarction, mechanical complications of MI, stroke, and major bleeding.

Results: A total of 341 subjects were included in this study. Higher SHR levels were observed in patients who had MACCEs (n = 69) or death (n = 44) during hospitalization. Compared with a SHR value below 1.25, a high SHR was independently associated with in-hospital MACCEs (odds ratio [OR]: 2.945, 95% confidence interval [CI]: 1.626–5.334, P < 0.001) and all-cause death (OR: 2.871 95% CI: 1.428–5.772, P = 0.003) in univariate and multivariate logisitic analysis. This relationship increased with SHR levels based on a non-linear dose-response curve. In contrast, admission glucose was only associated with clinical outcomes in univariate analysis. In subgroup analysis, high SHR was significantly predictive of worse in-hospital clinical outcomes in non-diabetic patients (MACCEs: 2.716 [1.281–5.762], P = 0.009; all-cause death: 2.394 [1.040–5.507], P = 0.040), but the association was not significant in diabetic patients.

Conclusion: SHR might serve as a simple and independent indicator of adverse in-hospital outcomes in elderly patients with AMI, especially in non-diabetic population.

An Exploratory Screening Study for Type 2 Diabetes in Hospitalized Adult Medicine Patients

OBJECTIVES

Literature from stroke and cardiac hospital admissions demonstrate a higher prevalence of undiagnosed type 2 diabetes compared with the general population. Fewer diabetes screening studies exist in the general medicine population, none of which have been based in Canada. Our primary objective in this study was to determine the prevalence of probable undiagnosed diabetes (glycated hemoglobin [A1C]≥6.5%) in hospitalized medicine patients. Secondary objectives were to identify the prevalence of undiagnosed dysglycemia (A1C≥6.0%) and the subsequent management of emergent cases.

METHODS

In this prospective cohort study, adult patients admitted to internal medicine at a tertiary hospital in Ontario were screened for diabetes using an A1C test over a 3-month period. Baseline demographics and outcomes were compared using t tests, chi-square tests and Fisher's exact tests for normoglycemia, undiagnosed dysglycemia and probable undiagnosed diabetes. A regression analysis was performed to identify any relationships between various cardiovascular-related risk factors and A1C.

RESULTS

A total of 53 adult patients were enrolled. The prevalence of probable undiagnosed diabetes and undiagnosed dysglycemia was 7.5% (n=4) and 30.2% (n=16), respectively. Implementation of diabetes management strategies and/or documentation of the finding occurred in 4 of 16 patients. Regression analysis showed no relationship between either cardiovascular-related risk factors or admission glucose with A1C.

CONCLUSIONS

A broader screening approach may capture previously undiagnosed cases of diabetes that do not belong to traditionally at-risk populations. Future studies should focus on identifying risk factors for undiagnosed dysglycemia in hospitalized patients, including ethnicity and barriers to community access, so that appropriate screening programs can be developed.

Intermittent gastric feeds lower insulin requirements without worsening dysglycemia: A pilot randomized crossover trial

INTRODUCTION

We hypothesized that critically ill medical patients would require less insulin when fed intermittently.

METHODS

First, 26 patients were randomized to receive intermittent or continuous gastric feeds. Once at goal nutrition, data were collected for the first 4-hr data collection period. Next, the enteral feed type was switched, goal nutrition was repeated, and a second 4-h data collection period was completed. The primary endpoint was the total amount of insulin infused; secondary endpoints were glucose concentration mean, maximum, minimum, and standard deviation, as well as episodes of hypoglycemia.

RESULTS

Sixteen of the 26 patients successfully completed the protocol. One patient experienced a large, rapid, and sustained decline in insulin requirement from liver failure, creating a bias of lesser insulin in the intermittent arm; this patient was removed from the analysis. For the remaining 15 patients, the average total amount of insulin infused was 1.4 U/patient/h less following intermittent feeds: P =0.027, 95% confidence interval (0.02, 11.17), and effect size 0.6. Secondary endpoints were statistically similar.

CONCLUSIONS

Critically ill medical patients who require an insulin infusion have a reduced insulin requirement when fed intermittently, whereas dysglycemia metrics are not adversely affected. A larger clinical study is required to confirm these findings.

Assessing Risk for Mortality in Trauma: The Value of Admission Hemoglobin A1c

BACKGROUND

Recent efforts have been made to identify admission characteristics of trauma patients that are associated with increased risk of mortality. Contemporary literature has established an increased risk of mortality with admission hyperglycemia. However, the effects of longstanding hyperglycemia, as surrogated by hemoglobin A1c (HbA1c), has not been studied.

METHODS

A prospective trauma database was retrospectively reviewed identifying patients with collected HbA1c at admission. Three cohorts were defined by HbA1c: normal (N), <5.7; prediabetic (PD) 5.7-6.5; and diabetic (D) >6.5. Regression models were used to evaluate the risk of increased hospital and intensive care unit (ICU) length of stay (LOS), ventilator days, and mortality. Relative risk (RR) and 95% CI are provided as measures of significance.

RESULTS

A total of 2978 patients were included in the analysis (N: n = 1895, PD: n = 744, and D: n = 339). The D cohort was more likely to be older, female, obese, suffered blunt trauma, and triaged at the highest activation acuity level (P < .0001). Mean injury severity score (ISS) was similar between groups. The D group was more likely to have longer ICU-LOS (RR 1.5; 95% CI 1.10-2.07) and ventilator days (RR 1.52; 95% CI 1.03-2.26) than the N group. Relative to the N group, the risk of mortality was 50% higher in the PD (RR 1.49; 95% CI 1.17-1.90) and in the D cohorts (RR 1.50; 95% CI 1.03-2.18).

DISCUSSION

Trauma patients with an elevated admission HbA1c have a significantly higher risk of mortality regardless of their history of diabetes. These data add to the body of literature that documents the untoward effect of hyperglycemia on the trauma patient.

In-hospital screening for diabetes mellitus with HbA1c in an internal medicine department was not useful; a prospective pilot study

Background. Screening inpatients for diabetes mellitus may be a good opportunity to detect undiagnosed cases and several studies have demonstrated the feasibility and usefulness of this practice. HbA1c has been suggested as the method of choice due to the effects of acute illness on glucose. The aim of this study was to evaluate a screening protocol based on HbA1c to identify inpatients with undiagnosed diabetes mellitus in an internal medicine department.

Methods. We conducted a prospective study of all admissions in the internal medicine department of a 412-bed community hospital in Greece during a 6-month period. Candidates for screening based on the American Diabetes Association’s recommendations were screened with HbA1c. Patients with very poor health status and patients with conditions that may interfere with HbA1c measurement or interpretation were excluded.

Results. Of 463 patients (median age 74) only a small proportion (14.9%) were candidates for screening with HbA1c. Known diabetes mellitus, a low admission glucose, severe anemia or blood loss and poor health status were the most common reasons of exclusion. Among the 55 screened patients, 7 had diabetes (based on HbA1c ≥ 6.5%). However, in only 1 of them HbA1c was above target considering the patients’ health status. Categorical agreement (no diabetes, prediabetes, diabetes) between morning glucose and HbA1c was low. However, the concordance between a morning glucose < 125 mg/dl and HbA1c < 6.5% was > 90%.

Conclusions. In settings similar to ours (very elderly patients, high rate of conditions that confound the use of HbA1c and high rate of patients with poor health status), untargeted screening of inpatients with HbA1c is unlikely to be cost-effective. A morning glucose during hospitalization may be a better first step for screening.

Prevalence of diabetes and its effects on stroke outcomes: A meta-analysis and literature review

AIMS/INTRODUCTION

Diabetes mellitus is an established risk factor for stroke and maybe associated with poorer outcomes after stroke. The aims of the present literature review were to determine: (i) the prevalence of diabetes in acute stroke patients through a meta-analysis; (ii) the association between diabetes and outcomes after ischemic and hemorrhagic stroke; and (iii) to review the value of glycated hemoglobin and admission glucose-based tests in predicting stroke outcomes.

MATERIALS AND METHODS

Ovid MEDLINE and EMBASE searches were carried out to find studies relating to diabetes and inpatient stroke populations published between January 2004 and April 2017. A meta-analysis of the prevalence of diabetes from included studies was undertaken. A narrative review on the associations of diabetes and different diagnostic methods on stroke outcomes was carried out.

RESULTS

A total of 66 eligible articles met inclusion criteria. A meta-analysis of 39 studies (n = 359,783) estimated the prevalence of diabetes to be 28% (95% confidence interval 26-31). The rate was higher in ischemic (33%, 95% confidence interval 28-38) compared with hemorrhagic stroke (26%, 95% confidence interval 19-33) inpatients. Most, but not all, studies found that acute hyperglycemia and diabetes were associated with poorer outcomes after ischemic or hemorrhagic strokes: including higher mortality, poorer neurological and functional outcomes, longer hospital stay, higher readmission rates, and stroke recurrence. Diagnostic methods for establishing diagnosis were heterogeneous between the reviewed studies.

CONCLUSIONS

Approximately one-third of all stroke patients have diabetes. Uniform methods to screen for diabetes after stroke are required to identify individuals with diabetes to design interventions aimed at reducing poor outcomes in this high-risk population.

Increased glycemic variability associated with a poor 30-day functional outcome in acute intracerebral hemorrhage

The authors analyzed the association between the standard deviation or the coefficient of variation in the glucose value, strong independent indexes for determining glycemic variability, and the prognosis of intracerebral hemorrhage. They found that glycemic variability may be associated with a poor outcome in intracerebral hemorrhage.

Overcoming missed opportunities in diabetes management to improve outcomes for hospitalized patients with diabetes

AIMS

The purpose of this study is to assess the impact of hospitalization on 6-12 month medication adjustment and glycemic control.

METHODS

We conducted a retrospective cohort study of hospitalized and non-hospitalized patients with diabetes of an internal medicine residency continuity clinic. Patients had baseline and outcome HbA1c taken 6-12 months apart. Multivariate linear regression was used to model predictors of HbA1c change from baseline to outcome. Multivariate logistic regression was used to model predictors of medication adjustment between baseline and outcome clinic visits.

RESULTS

Hospitalization was not a significant predictor of HbA1c change. Hospitalized patients with baseline HbA1c < 7% were more likely to have therapy adjusted (OR 3.05, p = .004), but this trend did not extend to adjustment in patients with baseline HbA1c ≥ 7% (OR 0.98, p = .249). A significant predictor of medication adjustment was having a specialized Chronic Care Model-based outpatient diabetic planned visit (DPV) (OR 1.63, p = .020). Depression was not a significant predictor for medication therapy change in well-controlled patients with diabetes, but was associated with a lower likelihood for medication adjustment in poorly-controlled patients with diabetes (OR 0.47, p = .004).

DISCUSSION

Our study supports previous research in that hospitalization may be seen as a "missed opportunity" to intensify treatment when indicated. Based on our findings, hospitalized patients may benefit from enhanced focus on outpatient follow-up. A next step for research is to assess efficacy of scheduling a DPV proximate to discharge for HbA1c reduction when diabetes is poorly controlled.

The Presence of Diabetes and Higher HbA1c Are Independently Associated With Adverse Outcomes After Surgery

OBJECTIVE

Limited studies have examined the association between diabetes and HbA_1c with postoperative outcomes. We investigated the association of diabetes, defined categorically, and the association of HbA_1c as a continuous measure, with postoperative outcomes.

RESEARCH DESIGN AND METHODS

In this prospective, observational study, we measured the HbA_1c of surgical inpatients age ≥54 years at a tertiary hospital between May 2013 and January 2016. Patients were diagnosed with diabetes if they had preexisting diabetes or an HbA_1c ≥6.5% (48 mmol/mol) or with prediabetes if they had an HbA_1c between 5.7 and 6.4% (39 and 48 mmol/mol). Patients with an HbA_1c <5.7% (39 mmol/mol) were categorized as having normoglycemia. Baseline demographic and clinical data were obtained from hospital records, and patients were followed for 6 months. Random-effects logistic and negative binomial regression models were used for analysis, treating surgical units as random effects. We undertook classification and regression tree (CART) analysis to design a 6-month mortality risk model.

RESULTS

Of 7,565 inpatients, 30% had diabetes, and 37% had prediabetes. After adjusting for age, Charlson comorbidity index (excluding diabetes and age), estimated glomerular filtration rate, and length of surgery, diabetes was associated with increased 6-month mortality (adjusted odds ratio [aOR] 1.29 [95% CI 1.05-1.58]; P = 0.014), major complications (1.32 [1.14-1.52]; P < 0.001), intensive care unit (ICU) admission (1.50 [1.28-1.75]; P < 0.001), mechanical ventilation (1.67 [1.32-2.10]; P < 0.001), and hospital length of stay (LOS) (adjusted incidence rate ratio [aIRR] 1.08 [95% CI 1.04-1.12]; P < 0.001). Each percentage increase in HbA_1c was associated with increased major complications (aOR 1.07 [1.01-1.14]; P = 0.030), ICU admission (aOR 1.14 [1.07-1.21]; P < 0.001), and hospital LOS (aIRR 1.05 [1.03-1.06]; P < 0.001). CART analysis confirmed a higher risk of 6-month mortality with diabetes in conjunction with other risk factors.

CONCLUSIONS

Almost one-third of surgical inpatients age ≥54 years had diabetes. Diabetes and higher HbA_1c were independently associated with a higher risk of adverse outcomes after surgery.

Perioperative Management of Hyperglycemia and Diabetes in Cardiac Surgery Patients

Perioperative hyperglycemia is common after cardiac surgery, reported in 60% to 90% of patients with diabetes and in approximately 60% of patients without history of diabetes. Many observational and prospective randomized trials in critically-ill cardiac surgery patients support a strong association between hyperglycemia and poor clinical outcome. Despite ongoing debate about the optimal glucose target, there is strong agreement that improved glycemic control reduces perioperative complications.

The stress hyperglycemia ratio, an index of relative hyperglycemia, as a predictor of clinical outcomes after percutaneous coronary intervention

BACKGROUND

We aimed to investigate the outcome-predicting value of a novel index of stress hyperglycemia in coronary artery disease (CAD) patients who underwent percutaneous coronary intervention (PCI).

METHODS

This was a retrospective observational study. Four-thousand-three-hundred-sixty-two subjects from the COACT registry were used to estimate the risk of major adverse cardiovascular and cerebrovascular events (MACCE), which are defined as composites of all-cause death, non-fatal myocardial infarction (MI) and non-fatal stroke. The stress hyperglycemia ratio (SHR) was calculated by dividing the random serum glucose at admission with the estimated average glucose derived from HbA1c.

RESULTS

Over a median follow-up of 2.5years, 344 (7.9%), 43 (1.0%), and 89 (2.0%) cases of death, non-fatal MI, and non-fatal stroke occurred, respectively. Compared with the subjects in the lower three quartiles of SHR, the HR (95% CI) for the highest SHR quartile (Q4) group for MACCE was 1.31 (1.05, 1.64) in the total population and 1.45 (1.02, 2.06) in the non-diabetic population after adjusting for potential covariables. The risk of MACCE in the SHR Q4 group was significantly higher in patients presenting with ST-elevation MI (STEMI), which was not the case for patients presenting with other CAD types. The prognostic impact of SHR was more prominent for the 30-day MACCE. Similar results were observed in another cohort consisting of patients who only presented with acute MI.

CONCLUSIONS

SHR is a useful predictive marker of MACCE after PCI, especially in non-diabetic patients with STEMI, which could be utilized to identify high-risk patients for adverse outcomes.

Cost-effectiveness of diabetes screening initiated through a dental visit

OBJECTIVE

To analyse the cost-effectiveness of a screening programme and follow-up interventions for persons with dysglycemia who are identified during a dental visit.

METHODS

This study is a secondary analysis utilizing data from two relevant publications. Those studies identified persons with dysglycemia who were seen in a dental school clinic for routine dental care and determined compliance with a recommendation to seek medical care. The response site was 59.4%. The Archimedes disease simulation model was utilized to simulate the effect of a weight loss programme for identified subjects on several outcomes.

RESULTS

Two scenarios for weight loss programmes were considered: a 10% permanent loss in body weight and a 10% loss that decays over time. Both diabetes and prediabetes were analysed. The decay path costs $21 243 per quality adjusted life year (QALY) with 3 years required to achieve the weight reduction. This cost decreases to $6655 if only 1 year is needed to achieve the weight goal. Without decay, the cost per QALY is $15 873 with 20 years of intervention, vs $647 per QALY with 10 years of intervention. For individuals with type 2 diabetes mellitus, the cost per QALY is $48 604 to $56 207 depending on adherence. With the addition of oral medication (a sulfonylurea), the cost is three times higher.

CONCLUSIONS

Under the conditions described here, identification of persons with dysglycemia in the dental office for initiating prediabetic care is a cost-effective means of identifying and treating affected individuals.

The Prevalence of Diabetes Mellitus and Routine Hemoglobin A1c Screening in Elective Total Joint Arthroplasty Patients

BACKGROUND

Diabetes mellitus has been associated with significant perioperative complications in joint arthroplasty. In addition, many patients are unaware of their dysglycemic status, and the prevalence of undiagnosed dysglycemia in joint arthroplasty patients is unknown.

METHODS

Several years ago, we began routine hemoglobin A1c (HbA1c) level screening in all our patients planning to undergo elective total hip and total knee arthroplasties. We retrospectively reviewed the HbA1c levels in our initial 663 patients.

RESULTS

Forty-eight percent of these patients were found to be nondiabetic; 19% percent had a previous history of some level of dysglycemia. Most significantly, over one third, 33.6% of these patients were previously undiagnosed dysglycemic patients; 31% were diagnosed as prediabetic and 2.6% as diabetic.

CONCLUSION

Owing to the high prevalence of prediabetic patients who go on to develop diabetes and to the high correlation of poor glucose control with perioperative complications, we feel that it is imperative to identify this large number of previously undiagnosed dysglycemic patients. We recommend the routine screening of all patients planning to undergo major orthopedic procedures. Likewise, we recommend that identified patients be referred for diabetic counseling. We also recommend that patients with markedly elevated HbA1c levels have their elective surgery postponed until better glycemic control can be achieved.

Stress hyperglycaemia in critically ill patients and the subsequent risk of diabetes: a systematic review and meta-analysis

BACKGROUND

Hyperglycaemia occurs frequently in critically ill patients without diabetes. We conducted a systematic review and meta-analysis to evaluate whether this 'stress hyperglycaemia' identifies survivors of critical illness at increased risk of subsequently developing diabetes.

METHODS

We searched the MEDLINE and Embase databases from their inception to February 2016. We included observational studies evaluating adults admitted to the intensive care unit (ICU) who developed stress hyperglycaemia if the researchers reported incident diabetes or prediabetes diagnosed ≥3 months after hospital discharge. Two reviewers independently screened the titles and abstracts of identified studies and evaluated the full text of relevant studies. Data were extracted using pre-defined data fields, and risk of bias was assessed using the Newcastle-Ottawa Scale. Pooled ORs with 95 % CIs for the occurrence of diabetes were calculated using a random-effects model.

RESULTS

Four cohort studies provided 2923 participants, including 698 with stress hyperglycaemia and 131 cases of newly diagnosed diabetes. Stress hyperglycaemia was associated with increased risk of incident diabetes (OR 3.48; 95 % CI 2.02-5.98; I ²  = 36.5 %). Studies differed with regard to definitions of stress hyperglycaemia, follow-up and cohorts studied.

CONCLUSIONS

Stress hyperglycaemia during ICU admission is associated with increased risk of incident diabetes. The strength of this association remains uncertain because of statistical and clinical heterogeneity among the included studies.

Glycated Hemoglobin Testing to Identify Undiagnosed Diabetes Mellitus in the Inpatient Setting

BACKGROUND

Hyperglycemia is commonly seen in hospitalized patients. Glycated hemoglobin (HbA1c) correlates with the average blood glucose level over the previous 8 to 12 weeks. Thus, an HbA1c test offers a longitudinal view that reduces etiologic ambiguity of disease. Screening of HbA1c levels plays an important role in the diagnosis and management of diabetes mellitus in the outpatient setting but remains underused in the evaluation of hyperglycemia with undiagnosed diabetes in the inpatient setting. The underuse of the HbA1c test may be a missed opportunity for early diabetes detection in the hospital.

OBJECTIVE

To examine the use of HbA1c tests in identifying previously undiagnosed diabetes mellitus among patients with hyperglycemia in a rural inpatient setting.

METHODS

A retrospective review of medical records of hospitalized patients with hyperglycemia in a rural community teaching hospital in the Midwest. Descriptive and inferential statistical methods were used.

RESULTS

Medical records of 348 unique patients with hyperglycemia were reviewed. Fifty patients treated for hyperglycemia had medical records with no known history of diabetes (NKHD). Of the 50 patients with NKHD, 31 (62%) had an HbA1c test. Of the 31 patients tested, 6 (19%) had HbA1c levels consistent with the diagnosis of prediabetes, and 18 (58%) had levels consistent with diabetes. Seventeen (55%) of the 31 patients had a discharge diagnosis that included diabetes. Of the 19 patients with NKHD who did not have an HbA1c test, 2 (11%) received a discharge diagnosis that included diabetes.

CONCLUSION

Hospitalized patients with NKHD and hyperglycemia are more likely to receive an appropriate diagnosis if HbA1c is measured. Failing to fully use HbA1c tests in the inpatient setting constitutes a missed opportunity to distinguish transient hyperglycemia from chronic disease. The HbA1c level can elucidate the course of dys-glycemia and trigger mechanisms for timely intervention.

Can HbA1c detect undiagnosed diabetes in acute medical hospital admissions?

OBJECTIVE

To study hyperglycaemia in acute medical admissions to Irish regional hospital.

RESEARCH DESIGN AND METHODS

From 2005 to 2007, 2061 white Caucasians, aged >18 years, were admitted by 1/7 physicians. Those with diabetes symptoms/complications but no previous record of hyperglycaemia (n=390), underwent OGTT with concurrent HbA1c in representative subgroup (n=148). Comparable data were obtained for 108 primary care patients at risk of diabetes.

RESULTS

Diabetes was diagnosed immediately by routine practice in 1% (22/2061) [aged 36 (26-61) years (median IQ range)/55% (12/22) male] with pre-existing diabetes/dysglycaemia present in 19% (390/2061) [69 (58-80) years/60% (235/390) male]. Possible diabetes symptoms/complications were identified in 19% [70 (59-79) years/57% (223/390) male] with their HbA1c similar to primary care patients [54 (46-61) years], 5.7 (5.3-6.0)%/39 (34-42)mmol/mol (n=148) vs 5.7 (5.4-6.1)%/39 (36-43)mmol/mol, p=0.35, but lower than those diagnosed on admission, 10.2 (7.4-13.3)%/88 (57-122)mmol/mol, p<0.001. Their fasting plasma glucose (FPG) was similar to primary care patients, 5.2 (4.8-5.7) vs 5.2 (4.8-5.9) mmol/L, p=0.65, but 2hPG higher, 9.0 (7.3-11.4) vs 5.5 (4.4-7.5), p<0.001. HbA1c identified diabetes in 10% (15/148) with 14 confirmed on OGTT but overall 32% (48/148) were in diabetic range on OGTT. The specificity of HbA1c in 2061 admissions was similar to primary care, 99% vs 96%, p=0.20, but sensitivity lower, 38% vs 93%, p<0.001 (63% on FPG/23% on 2hPG, p=0.037, in those with possible symptoms/complications).

CONCLUSION

HbA1c can play a diagnostic role in acute medicine as it diagnosed another 2% of admissions with diabetes but the discrepancy in sensitivity shows that it does not reflect transient/acute hyperglycaemia resulting from the acute medical event.

Prevalence and Impact of Unknown Diabetes in the ICU

OBJECTIVES

Many patients with diabetes and their care providers are unaware of the presence of the disease. Dysglycemia encompassing hyperglycemia, hypoglycemia, and glucose variability is common in the ICU in patients with and without diabetes. The purpose of this study was to determine the impact of unknown diabetes on glycemic control in the ICU.

DESIGN

Prospective observational study.

SETTING

Nine ICUs in an academic, tertiary hospital and a hybrid academic/community hospital.

PATIENTS

Hemoglobin A1c levels were ordered at all ICU admissions from March 1, 2011 to September 30, 2013. Electronic medical records were examined for a history of antihyperglycemic medications or International Classification of Diseases, 9th Edition diagnosis of diabetes. Patients were categorized as having unknown diabetes (hemoglobin A1c > 6.5%, without history of diabetes), no diabetes (hemoglobin A1c < 6.5%, without history of diabetes), controlled known diabetes (hemoglobin A1c < 6.5%, with documented history of diabetes), and uncontrolled known diabetes (hemoglobin A1c > 6.5%, with documented history of diabetes).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 15,737 patients had an hemoglobin A1c and medical record evaluable for the history of diabetes, and 5,635 patients had diabetes diagnosed by either medical history or an elevated hemoglobin A1c in the ICU. Of these, 1,460 patients had unknown diabetes, accounting for 26.0% of all patients with diabetes. This represented 41.0% of patients with an hemoglobin A1c > 6.5% and 9.3% of all ICU patients. Compared with patients without diabetes, patients with unknown diabetes had a higher likelihood of requiring an insulin infusion (44.3% vs 29.3%; p < 0.0001), a higher average blood glucose (172 vs 126 mg/dL; p < 0.0001), an increased percentage of hyperglycemia (19.7% vs 7.0%; blood glucose > 180 mg/dL; p < 0.0001) and hypoglycemia (8.9% vs 2.5%; blood glucose < 70 mg/dL; p < 0.0001), higher glycemic variability (55.6 vs 28.8, average of patient SD of glucose; p < 0.0001), and increased mortality (13.8% vs 11.4%; p = 0.01).

CONCLUSIONS

Patients with unknown diabetes represent a significant percentage of ICU admissions. Measurement of hemoglobin A1c at admission can prospectively identify a population that are not known to have diabetes but have significant challenges in glycemic control in the ICU.

Simulation and qualitative analysis of glucose variability, mean glucose, and hypoglycemia after subcutaneous insulin therapy for stress hyperglycemia

Background

The critically ill can have persistent dysglycemia during the “subacute” recovery phase of their illness because of altered gene expression; it is also not uncommon for these patients to receive continuous enteral nutrition during this time. The optimal short-acting subcutaneous insulin therapy that should be used in this clinical scenario, however, is unknown. Our aim was to conduct a qualitative numerical study of the glucose-insulin dynamics within this patient population to answer the above question. This analysis may help clinicians design a relevant clinical trial.

Methods

Eight virtual patients with stress hyperglycemia were simulated by means of a mathematical model. Each virtual patient had a different combination of insulin resistance and insulin deficiency that defined their unique stress hyperglycemia state; the rate of gluconeogenesis was also doubled. The patients received 25 injections of subcutaneous regular or Lispro insulin (0-6 U) with 3 rates of continuous nutrition. The main outcome measurements were the change in mean glucose concentration, the change in glucose variability, and hypoglycemic episodes. These end points were interpreted by how the ultradian oscillations of glucose concentration were affected by each insulin preparation.

Results

Subcutaneous regular insulin lowered both mean glucose concentrations and glucose variability in a linear fashion. No hypoglycemic episodes were noted. Although subcutaneous Lispro insulin lowered mean glucose concentrations, glucose variability increased in a nonlinear fashion. In patients with high insulin resistance and nutrition at goal, “rebound hyperglycemia” was noted after the insulin analog was rapidly metabolized. When the nutritional source was removed, hypoglycemia tended to occur at higher Lispro insulin doses. Finally, patients with severe insulin resistance seemed the most sensitive to insulin concentration changes.

Conclusions

Subcutaneous regular insulin consistently lowered mean glucose concentrations and glucose variability; its linear dose-response curve rendered the preparation better suited for a sliding-scale protocol. The longer duration of action of subcutaneous regular insulin resulted in better glycemic-control metrics for patients who were continuously postprandial. Clinical trials are needed to examine whether these numerical results represent the glucose-insulin dynamics that occur in intensive care units; if present, their clinical effects should be evaluated.

Impact of screening and monitoring of capillary blood glucose in the detection of hyperglycemia and hypoglycemia in non-critical inpatients

OBJECTIVE

To evaluate the impact of screening hyper and hypoglycemia measured by capillary glycemia and standard monitorization of hyperglycemic patients hospitalized in regular care units of Hospital Israelita Albert Einstein.

METHODS

The capillary glycemia was measured by the Precision PCx (Abbott) glucosimeter, using the PrecisionWeb (Abbott) software. The detection of hyper and hypoglycemia during the months of May/June were compared to those of March/April in 2009 and to the frequency of the diagnosis of diabetes in 2007.

RESULTS

There was an increase in the glycemia screening from 27.7 to 77.5% of hospitalized patients (p < 0.001), of hyperglycemia detection (from 9.3 to 12.2%; p < 0.001) and of hypoglycemia (from 1.5 to 3.3%; p < 0.001) during the months of May/June 2009. According to this action 14 patients for each additional case of hyperglycemia and 26 cases for each case of hypoglycemia were identified. The detection of hyperglycemia was significantly higher (p < 0.001) than the frequency of registered diagnosis related do diabetes in the year of 2007.

CONCLUSIONS

the adoption of an institutional program of glycemia monitorization improves the detection of hyper and hypoglycemia and glycemia control in hospitalized patients in regular care units.

The Burden of Diagnosed and Undiagnosed Diabetes in Native Hawaiian and Asian American Hospitalized Patients

•

38% of Native Hawaiian, 34% of Japanese, 33% of Filipino, 23% of Chinese and 19% of White inpatients had diagnosed diabetes.

•

3% Native Hawaiian, 3% Japanese, 4% Filipino, 4% Chinese and 4% White inpatients had potentially undiagnosed diabetes.

•

Few potentially undiagnosed diabetes cases were found. Prospective methods are recommended.

•

Potentially undiagnosed diabetes was associated with a longer hospital stay and higher mortality.

•

Inpatient diabetes screening with HbA1c is suggested, which should be evaluated prospectively for improved outcomes.

Aims

Little is known about diabetes in hospitalized Native Hawaiians and Asian Americans. We determined the burden of diabetes (both diagnosed and undiagnosed) among hospitalized Native Hawaiian, Asian (Filipino, Chinese, Japanese), and White patients.

Methods

Diagnosed diabetes was determined from discharge data from a major medical center in Hawai‘i during 2007–2008. Potentially undiagnosed diabetes was determined by Hemoglobin A1c ≥ 6.5% or glucose ≥ 200 mg/dl values for those without diagnosed diabetes. Multivariable log-binomial models predicted diabetes (potentially undiagnosed and diagnosed, separately) controlling for socio-demographic factors.

Results

Of 17,828 hospitalized patients, 3.4% had potentially undiagnosed diabetes and 30.5% had diagnosed diabetes. In multivariable models compared to Whites, Native Hawaiian and all Asian subgroups had significantly higher percentages of diagnosed diabetes, but not of potentially undiagnosed diabetes. Potentially undiagnosed diabetes was associated with significantly more hospitalizations during the study period compared to both those without diabetes and those with diagnosed diabetes. In all racial/ethnic groups, those with potentially undiagnosed diabetes also had the longest length of stay and were more likely to die during the hospitalization.

Conclusions

Hospitalized Native Hawaiians (41%) and Asian subgroups had significantly higher overall diabetes burdens compared to Whites (23%). Potentially undiagnosed diabetes was associated with poor outcomes. Hospitalized patients, irrespective of race/ethnicity, may require more effective inpatient identification and management of previously undiagnosed diabetes to improve clinical outcomes.

Prevalence and Determinants of Glycemic Abnormalities in Cardiac Surgery Patients without a History of Diabetes: A Prospective Study

OBJECTIVE

To evaluate the prevalence and persistence of postoperative glycemic abnormalities in patients without a history of diabetes, undergoing cardiac surgery (CS).

METHODS

Ninety-two patients without diabetes with planned elective CS procedures at a tertiary institution were evaluated preoperatively and 3 months postoperatively for measures of glucose control including hemoglobin A1c, fasting plasma glucose, 2-h post oral glucose load, and insulin levels. Data from the hospital course were recorded.

RESULTS

Valid data were available from 61 participants at 3 months; 59% had prediabetes and 10% had diabetes preoperatively by one or more diagnostic criteria and continued to be dysglycemic at 3 months. Preoperative A1C was an independent predictor of postoperative hyperglycemia (p = 0.02). Insulin resistance and BMI rather than glycemic abnormalities before surgery were associated with a longer duration of the postoperative insulin infusion (p = 0.004, p = 0.048).

CONCLUSION

Seventy percent of CS patients without known diabetes met criteria for diabetes or prediabetes preoperatively, and these abnormalities persisted after surgery.

Length of Stay and Deaths in Diabetes-Related Preventable Hospitalizations Among Asian American, Pacific Islander, and White Older Adults on Medicare, Hawai'i, December 2006-December 2010

INTRODUCTION

The objective of this study was to compare in-hospital deaths and length of stays for diabetes-related preventable hospitalizations (D-RPHs) in Hawai'i for Asian American, Pacific Islander, and white Medicare recipients aged 65 years or older.

METHODS

We considered all hospitalizations of older (>65 years) Japanese, Chinese, Native Hawaiians, Filipinos, and whites living in Hawai'i with Medicare as the primary insurer from December 2006 through December 2010 (n = 127,079). We used International Classification of Diseases - 9th Revision (ICD-9) codes to identify D-RPHs as defined by the Agency for Healthcare Research and Quality. Length of stays and deaths during hospitalization were compared for Asian American and Pacific Islander versus whites in multivariable regression models, adjusting for age, sex, location of residence (Oahu, y/n), and comorbidity.

RESULTS

Among the group studied, 1,700 hospitalizations of 1,424 patients were D-RPHs. Native Hawaiians were significantly more likely to die during a D-RPH (odds ratio [OR], 3.92; 95% confidence interval [CI], 1.42-10.87) than whites. Filipinos had a significantly shorter length of stay (relative risk [RR], 0.77; 95% CI, 0.62-0.95) for D-RPH than whites. Among Native Hawaiians with a D-RPH, 59% were in the youngest age group (65-75 y) whereas only 6.3% were in the oldest (≥85 y). By contrast, 23.2% of Japanese were in the youngest age group, and 32.2% were in the oldest.

CONCLUSION

This statewide study found significant differences in the clinical characteristics and outcomes of D-RPHs for Asian American and Pacific Islanders in Hawai'i. Native Hawaiians were more likely to die during a D-RPH and were hospitalized at a younger age for a D-RPH than other studied racial/ethnic groups. Focused interventions targeting Native Hawaiians are needed to avoid these outcomes.

Inpatient HbA1c testing: a prospective observational study

OBJECTIVE

To use admission inpatient glycated hemoglobin (HbA1c) testing to help investigate the prevalence of unrecognized diabetes, the cumulative prevalence of unrecognized and known diabetes, and the prevalence of poor glycemic control in both. Moreover, we aimed to determine the 6-month outcomes for these patients. Finally, we aimed to assess the independent association of diabetes with these outcomes.

RESEARCH DESIGN AND METHODS

Prospective observational cohort study conducted in a tertiary hospital in Melbourne, Australia.

PATIENTS

A cohort of 5082 inpatients ≥54 years admitted between July 2013 and January 2014 underwent HbA1c measurement. A previous diagnosis of diabetes was obtained from the hospital medical record. Patient follow-up was extended to 6 months.

RESULTS

The prevalence of diabetes (known and unrecognized) was 34%. In particular, we identified that unrecognized but HbA1c-confirmed diabetes in 271 (5%, 95% CI 4.7% to 6.0%) patients, previously known diabetes in 1452 (29%, 95% CI 27.3% to 29.8%) patients; no diabetes in 3359 (66%, 95% CI 64.8-67.4%) patients. Overall 17% (95% CI 15.3% to 18.9%) of patients with an HbA1c of >6.5% had an HbA1c ≥8.5%. After adjusting for age, gender, Charlson Index score, estimated glomerular filtration rate, and hemoglobin levels, with admission unit treated as a random effect, patients with previously known diabetes had lower 6-month mortality (OR 0.69, 95% CI 0.56 to 0.87, p=0.001). However, there were no significant differences in proportions of intensive care unit admission, mechanical ventilation or readmission within 6 months between the 3 groups.

CONCLUSIONS

Approximately one-third of all inpatients ≥54 years of age admitted to hospital have diabetes of which about 1 in 6 was previously unrecognized. Moreover, poor glycemic control was common. Proportions of intensive care unit admission, mechanical ventilation, or readmission were similar between the groups. Finally, diabetes was independently associated with lower 6-month mortality.

Preoperative evaluation of the vascular surgery patient

Patients undergoing vascular surgery present a myriad of perioperative challenges due to the complex comorbidities affecting them in conjunction with high-risk surgical procedures. Additionally, advances in endovascular technology have enabled surgical procedures to be performed on patients who would not have been considered surgical candidates in the past. This combination of increasing patient morbidity and evolving surgical technique requires a well-planned preoperative assessment and close communication with surgical and perioperative colleagues. This article outlines an appropriate approach by first considering each organ system, followed by review of considerations unique to various surgical procedures, and then an overall assessment of risk.

Hyperglycemia in patients referred for cardiac catheterization is associated with preexisting diabetes rather than a stress-related phenomenon: a prospective cross-sectional study

BACKGROUND

An increased serum glucose level in patients with acute coronary syndrome (ACS) is associated with adverse clinical outcome. This hyperglycemia has been attributed, at least in part, to acute stress reaction. Our objective was to determine whether hyperglycemia is a stress-related phenomenon or whether it represents a more sustained and possibly significant background dysglycemia.

HYPOTHESIS

Hyperglycemia in patients undergoing coronary angiography is related to background dysglycemia.

METHODS

Blood samples were obtained at the time of cardiac catheterization. Patients with hemoglobin A1c >6.5% were excluded to avoid patients with chronic glucose levels above 135 mg/dL. A logistic regression model was created to assess the influence of different variables on hyperglycemia (glucose levels above 140 mg/dL). We also evaluated the effect of glucose levels above 140 mg/dL on major adverse cardiovascular events (MACEs) up to 36 months.

RESULTS

There were 2554 consecutive patients prospectively recruited. Serum glucose levels above 140 mg/dL was a strong predictor of MACE (hazard ratio: 2.2, 95% confidence interval [CI]: 1.3-3.6, P = 0.002). Both diabetes mellitus and ACS were associated with hyperglycemia (glucose levels above 140 mg/dL). Nevertheless, the incidence of hyperglycemia was doubled in diabetic patients (odds ratio [OR]: 9.4, 95% CI: 3.9-22.4, P < 0.001) compared with patients with ACS (OR: 4.6, 95% CI: 2.3-9.0, P < 0.001). Combining both conditions was associated with a high likelihood of elevated glucose levels (OR: 15.5, 95% CI: 7.4-32.9, P < 0.001).

CONCLUSIONS

Hyperglycemia in patients undergoing cardiac catheterization is a strong predictor of adverse outcome. It is mainly related to background dysglycemia and to a lesser extent to the acute stress accompanying ACS.

Dysglycaemia in the critically ill and the interaction of chronic and acute glycaemia with mortality

PURPOSE

Hyperglycaemia is common in the critically ill. The objectives of this study were to determine the prevalence of critical illness-associated hyperglycaemia (CIAH) and recognised and unrecognised diabetes in the critically ill as well as to evaluate the impact of premorbid glycaemia on the association between acute hyperglycaemia and mortality.

METHODS

In 1,000 consecutively admitted patients we prospectively measured glycated haemoglobin (HbA1c) on admission, and blood glucose concentrations during the 48 h after admission, to the intensive care unit. Patients with blood glucose ≥7.0 mmol/l when fasting or ≥11.1 mmol/l during feeding were deemed hyperglycaemic. Patients with acute hyperglycaemia and HbA1c <6.5% (48 mmol/mol) were categorised as 'CIAH', those with known diabetes as 'recognised diabetes', and those with HbA1c ≥6.5% but no previous diagnosis of diabetes as 'unrecognised diabetes'. The remainder were classified as 'normoglycaemic'. Hospital mortality, HbA1c and acute peak glycaemia were assessed using a logistic regression model.

RESULTS

Of 1,000 patients, 498 (49.8%) had CIAH, 220 (22%) had recognised diabetes, 55 (5.5%) had unrecognised diabetes and 227 (22.7%) were normoglycaemic. The risk of death increased by approximately 20% for each increase in acute glycaemia of 1 mmol/l in patients with CIAH and those with diabetes and HbA1c levels <7% (53 mmol/mol), but not in patients with diabetes and HbA1c ≥7%. This association was lost when adjusted for severity of illness.

CONCLUSIONS

Critical illness-associated hyperglycaemia is the most frequent cause of hyperglycaemia in the critically ill. Peak glucose concentrations during critical illness are associated with increased mortality in patients with adequate premorbid glycaemic control, but not in patients with premorbid hyperglycaemia. Optimal glucose thresholds in the critically ill may, therefore, be affected by premorbid glycaemia.

Enhancing insulin-use safety in hospitals: Practical recommendations from an ASHP Foundation expert consensus panel

PURPOSE

Consensus recommendations to help ensure safe insulin use in hospitalized patients are presented.

SUMMARY

Insulin products are frequently involved in medication errors in hospitals, and insulin is classified as a high-alert medication when used in inpatient settings. In an initiative to promote safer insulin use, the American Society of Health-System Pharmacists (ASHP) Research and Education Foundation convened a 21-member panel representing the fields of pharmacy, medicine, and nursing and consumer advocacy groups for a three-stage consensus-building initiative. The panel's consensus recommendations include the following: development of protocol-driven insulin order sets, elimination of the routine use of correction/sliding-scale insulin doses for management of hyperglycemia, restrictions on the types of insulin products stored in patient care areas, and policies to restrict the preparation of insulin bolus doses and i.v. infusions to the pharmacy department. In addition, the panelists recommended that hospitals better coordinate insulin use with meal intake and glucose testing, prospectively monitor the coordination of insulin delivery and rates of hypoglycemia and hyperglycemia, and provide standardized education and competency assessment for all hospital-based health care professionals responsible for insulin use.

CONCLUSION

A 21-member expert panel convened by the ASHP Foundation identified 10 recommendations for enhancing insulin-use safety across the medication-use process in hospitals. Professional organizations, accrediting bodies, and consumer groups can play a critical role in the translation of these recommendations into practice. Rigorous research studies and program evaluations are needed to study the impact of implementation of these recommendations.

Inpatient hyperglycaemia improvement quality program

BACKGROUND

Poorly controlled hyperglycaemia is associated with increased morbidity and mortality in hospitalised patients. Based on the view that hospitalisation provides a window of opportunity to improve patient quality of care and health status, a comprehensive program for treating hospitalised diabetic patients was initiated. This study assessed the effectiveness of the Inpatient Hyperglycaemia Improvement Quality Program (IHIQP) over a 4-year period.

METHODS

Pre-test post-test design. In the pre-intervention period (August-December 2007), an institution-wide blood glucose monitoring system was introduced in August 2007. The remaining program components were introduced in January 2008, including implementing a hospital care protocol based on the 2007 American Diabetes Association Standards, a multidisciplinary team that participates in patient care and arranges continuing care after discharge and comprehensive patient education prior to discharge. Program results from January 2008 through October 2011 were evaluated.

RESULTS

During follow-up, more than 600,000 blood glucose tests were performed. Blood glucose values declined from 196.4 ± 98.4 mg/dl pre-IHIQP (August-December 2007) to 174.5 ± 82.0 mg/dl post-IHIQP (January-October 2011) (p < 0.0001). Prevalence of glucose values lower than 60 mg/dl declined from 2% to 1.3% (p < 0.004). Prevalence of glucose values ≥ 300 mg/dl declined from 13.6% to 8.4% (p < 0.0001). Concomitantly, the proportion of in-target values of 80-180 mg/dl increased from 47.7% to 58.1% (p < 0.0001).

CONCLUSION

This in-patient hyperglycaemia quality improvement program led to improvements in-patient glycaemic control, which continued over time. The effect of this improvement on in-patient mortality and morbidity needs additional follow-up.

Glucose as a risk predictor in acute medical emergency admissions

AIMS

The aims of this study were to examine the relationship between admission blood glucose and mortality in a large, unselected cohort of acutely ill medical patients and to assess the impact of diabetes on this relationship.

METHODS

We studied the broad pattern of acute medical admissions over an eight year period and the impact of admission serum glucose on in-hospital mortality. Significant predictors of outcome, including acute illness severity and co-morbidity, were entered into a multivariate regression model, adjusting the univariate estimates of the glycaemic status on mortality.

RESULTS

There were 45,068 consecutive acute medical emergency admissions between 2005 and 2012. The normoglycaemic (>4.0 ≤7.0 mmol/l) cohort (86%) had a 3.9% in-hospital mortality. Both hypoglycaemia (OR: 3.23: 95% CI: 2.59-4.04; p<0.001) and hyperglycaemia (OR: 2.1; 95% CI: 1.9-2.4; p<0.001) predicted an increased risk of an in-hospital death. Neither of these increased risks were fully adjusted nor explained by a highly predictive outcome model, using multiple acute illness parameters. Hyperglycaemia did not carry similar adverse prognostic implications for patients with diabetes.

CONCLUSION

In patients without diabetes, an abnormal serum glucose is independently predictive of an increased mortality among the broad cohort of acute emergency medical patients. Similar disturbances of glucose homeostasis for patients with diabetes do not confer equivalent adverse prognostic implications.

Stress hyperglycaemia in hospitalized patients with coronary artery disease and type 2 diabetes risk

AIMS

(i) To evaluate glucometabolic status of patients without known diabetes hospitalized due to coronary artery disease (CAD), (ii) to assess markers of systemic inflammation determined during admission and to evaluate their relationship with glucometabolic status and (iii) to analyse usefulness of HbA1c determined during admission in patients with CAD to detect abnormal glucose regulation (AGR).

MATERIALS & METHODS

We studied 440 patients with CAD admitted to the cardiology ward. Patients were grouped in four groups during admission according to clinical data, fasting plasma glucose and HbA1c: diabetes, HbA1c > 5·9%, stress hyperglycaemia (SH) and normal. In 199 subjects without known diabetes, an oral glucose tolerance test (OGTT) was performed 3 months after discharge, and they were reclassified according to WHO 1998 criteria. Biochemical and inflammatory markers were measured.

RESULTS

The OGTT showed that 27·4% of subjects without known diabetes at admission had diabetes, 11·2% had impaired fasting glucose + impaired glucose tolerance, 33·5% impaired glucose tolerance, 3·6% impaired fasting glucose, and 24·4% normal glucose metabolism. Odds ratio for having diabetes 3 months after discharge in HbA1c > 5·9% group was 5·91 (P < 0·0001) and in SH group was 1·82 (P = 0·38). The best HbA1c cut-off point to predict AGR was 5·85%. HbA1c levels during admission were highly predictive of having AGR (AUC ROC 0·76 [95% CI 0·67-0·84]).

CONCLUSION

We reported a high prevalence of AGR in subjects with CAD. Stress hyperglycaemia in patients with CAD was not associated with an increased risk of diabetes 3 months later. HbA1c in patients hospitalized with CAD was a useful tool to detect AGR.

Opportunistic pathology-based screening for diabetes

OBJECTIVE

To determine the potential of opportunistic glycated haemoglobin (HbA1c) testing of pathology samples to detect previously unknown diabetes.

DESIGN

Pathology samples from participants collected for other reasons and suitable for HbA1c testing were utilised for opportunistic diabetes screening. HbA1c was measured with a Biorad Variant II turbo analyser and HbA1c levels of ≥6.5% (48 mmol/mol) were considered diagnostic for diabetes. Confirmation of previously unknown diabetes status was obtained by a review of hospital medical records and phone calls to general practitioners.

SETTING

Hospital pathology laboratory receiving samples from hospital-based and community-based (CB) settings.

PARTICIPANTS

Participants were identified based on the blood sample collection location in the CB, emergency department (ED) and inpatient (IP) groups. Exclusions pretesting were made based on the electronic patient history of: age <18 years, previous diabetes diagnosis, query for diabetes status in the past 12 months, evidence of pregnancy and sample collected postsurgery or transfusion. Only one sample per individual participant was tested.

RESULTS

Of the 22 396 blood samples collected, 4505 (1142 CB, 1113 ED, 2250 IP) were tested of which 327 (7.3%) had HbA1c levels ≥6.5% (48 mmol/mol). Of these 120 (2.7%) were determined to have previously unknown diabetes (11 (1%) CB, 21 (1.9%) ED, 88 (3.9%) IP). The prevalence of previously unknown diabetes was substantially higher (5.4%) in hospital-based (ED and IP) participants aged over 54 years.

CONCLUSIONS

Opportunistic testing of referred pathology samples can be an effective method of screening for diabetes, especially in hospital-based and older persons.

High prevalence of diabetes mellitus and hospital-related hyperglycaemia in French general wards

AIM

The study evaluated the in-hospital prevalence of diabetes and hospital-related hyperglycaemia in a variety of French general wards.

METHODS

The multicentre cross-sectional study involving nine French hospitals measured venous fasting plasma glucose (FPG) on a single day in patients hospitalized in adult medical and surgical short-term wards. Diabetes status and length of stay were recorded.

RESULTS

Of the 2141 inpatients included in the study, 355 (16.5%) had known diabetes, 156 (7.3%) had screened diabetes (FPG ≥7 mmol/L with no diabetes history), 515 (24.1%) had impaired fasting glucose (IFG; FPG 5.5-6.9 mmol/L) and 1115 (52.1%) had normal glucose values (FPG < 5.5 mmol/L). Diabetes prevalence varied from 11% in hospitals in the west of France to 21% in hospitals in northern and eastern regions. The highest known diabetes prevalence was observed in units for cardiovascular surgery (33%), infectious diseases (27%) and kidney disorders (26%). In cancer units, one-fifth of patients had screened diabetes and one-sixth had known diabetes. Among the known diabetes patients, 127 (36%) were already being treated with insulin, while an additional 41 (12%) started insulin therapy during their hospital stay. Patients with known and screened diabetes were older (70.8 ± 12.2 and 71.1 ± 15.6 years, respectively) than the normal-glucose patients (65.6 ± 18.9 years; P<0.001). Average length of stay was no different between known diabetes and normal-glucose patients after adjusting for age (11.3 ± 7.7 vs 10.0 ± 7.4 days; NS).

CONCLUSION

Overall, metabolic glucose disorders (known or screened diabetes and IFG) were found in 48% of inpatients in various French hospital general wards.

Intensification of diabetes medication and risk for 30-day readmission

AIM

To examine the association of in-hospital diabetes regimen intensification with subsequent 30-day risk for unplanned readmission/emergency department admission.

METHODS

We retrospectively studied 1949 adults with Type 2 diabetes receiving primary care within an academic health network admitted to the hospital between January 2007 and December 2009. Glucose therapy intensification was defined as new start of insulin or oral hypoglycaemic agents, or addition of prandial insulin or insulin mixtures. The association of glucose therapy intensification with subsequent 30-day risk for unplanned readmission/emergency department admission was examined, with focus on medicine service patients with poorly controlled glycaemia (baseline HbA(1c) ≥ 64 mmol/mol).

RESULTS

One in six patients (324/1949, 17%) had early readmission/emergency department admission. Compared with patients without early readmission, readmitted patients were more often male (58 vs. 52%, P = 0.03), had higher Charlson co-morbidity score [mean (sd) 3.0 (2.0) vs. 2.8 (1.8), P = 0.02], longer length of stay [5 (4.4) vs. 3.9 (3.3) days, P < 0.01] and were more often discharged home with nursing services (38 vs. 32%, P = 0.03). Overall, glucose therapy intensification was not associated with early hospital readmission/emergency department admission (odds ratio 0.94, 95% CI 0.64-1.37, P = 0.74). However, among medicine service patients with baseline HbA(1c) ≥ 64 mmol/mol (8%), glucose therapy intensification was associated with a significantly decreased early readmission risk (adjusted odds ratio 0.33, 95% CI 0.12-0.88, P = 0.03) and lower post-discharge HbA(1c) {mean decrease (sd): 20 (26) mmol/mol [1.8 (2.4)%] vs. 7 (15) mmol/mol [0.6 (1.4)%], P < 0.01}.

CONCLUSIONS

Diabetes medical regimen intensification during hospitalization was not associated with early readmission. Among patients with elevated HbA(1c) , glucose therapy intensification was associated with a decreased 30-day readmission/emergency department admission risk and lower outpatient HbA(1c) levels. Our findings support the safety and durable impact of diabetes regimen optimization during hospital admission.

Effect of hospital admission on glycemic control 1 year after discharge

OBJECTIVE

To assess the effect of hospital admission on glycemic control in patients with diabetes up to 1 year after discharge.

METHODS

We retrospectively studied 826 adults with diabetes admitted to a tertiary care medical center and with available hemoglobin A1c (A1C) values for 6 months before admission and 1 year after discharge. We compared them with 826 nonhospitalized adults with diabetes matched for age, sex, race, comorbidity, and baseline A1C level. We determined the change in A1C value relative to hospitalization and baseline A1C level by using multivariate random effects models for repeated measures. Logistic regression analysis was performed to determine predictors of achieving recommended A1C levels at 1 year.

RESULTS

Patients with baseline A1C levels ≥9% had an adjusted rate of change in A1C value of -0.10% per month (95% confidence interval [CI], -0.18 to -0.022; P=.012) during the course of 1 year, without significant differences between hospitalized and nonhospitalized patients in the mean rate of change. Hospitalized patients, however, were less likely to achieve an A1C goal of ≤7% at 1 year (odds ratio, 0.68; 95% CI, 0.55 to 0.86; P<.001) or an A1C of <8% at 1 year (odds ratio, 0.62; 95% CI, 0.48 to 0.81; P<.001) in comparison with the nonhospitalized patients.

CONCLUSION

Despite an overall trend toward improved glycemia over time, hospitalized patients with uncontrolled diabetes were less likely to achieve glycemic targets at 1 year in comparison with matched nonhospitalized patients. These results suggest a missed opportunity to improve long-term glycemic control in hospitalized patients with diabetes.