Stress hyperglycaemia in hospitalised patients and their 3-year risk of diabetes: a Scottish retrospective cohort study

Post-acute ischemic stroke hyperglycemia aggravates destruction of the blood-brain barrier

JOURNAL/nrgr/04.03/01300535-202406000-00039/inline-graphic1/v/2023-10-30T152229Z/r/image-tiff

Post-acute ischemic stroke hyperglycemia increases the risk of hemorrhagic transformation, which is associated with blood-brain barrier disruption. Brain microvascular endothelial cells are a major component of the blood-brain barrier. Intercellular mitochondrial transfer has emerged as a novel paradigm for repairing cells with mitochondrial dysfunction. In this study, we first investigated whether mitochondrial transfer exists between brain microvascular endothelial cells, and then investigated the effects of post-acute ischemic stroke hyperglycemia on mitochondrial transfer between brain microvascular endothelial cells. We found that healthy brain microvascular endothelial cells can transfer intact mitochondria to oxygen glucose deprivation-injured brain microvascular endothelial cells. However, post-oxygen glucose deprivation hyperglycemia hindered mitochondrial transfer and exacerbated mitochondrial dysfunction. We established an in vitro brain microvascular endothelial cell model of the blood-brain barrier. We found that post-acute ischemic stroke hyperglycemia reduced the overall energy metabolism levels of brain microvascular endothelial cells and increased permeability of the blood-brain barrier. In a clinical study, we retrospectively analyzed the relationship between post-acute ischemic stroke hyperglycemia and the severity of hemorrhagic transformation. We found that post-acute ischemic stroke hyperglycemia serves as an independent predictor of severe hemorrhagic transformation. These findings suggest that post-acute ischemic stroke hyperglycemia can aggravate disruption of the blood-brain barrier by inhibiting mitochondrial transfer.

Association of pancreatitis with risk of diabetes: analysis of real-world data

Introduction

Diabetes is a major cause of disease burden with considerable public health significance. While the pancreas plays a significant role in glucose homeostasis, the association between pancreatitis and new onset diabetes is not well understood. The purpose of this study was to examine that association using large real-world data.

Materials and methods

Utilizing the IBM® MarketScan® commercial claims database from 2016 to 2019, pancreatitis and diabetes regardless of diagnostic category, were identified using International Classification of Diseases, Tenth Revision [ICD-10] codes. We then performed descriptive analyses characterizing non-pancreatitis (NP), acute pancreatitis (AP), and chronic pancreatitis (CP) cohort subjects. Stratified Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) of diabetes across the three clinical categories.

Results

In total, 310,962 individuals were included in the analysis. During 503,274 person-years of follow-up, we identified 15,951 incident diabetes cases. While men and women had higher incidence rates of CP and AP-related diabetes, the rates were significantly greater in men and highest among individuals with CP (91.6 per 1000 persons-years (PY)) followed by AP (75.9 per 1000-PY) as compared to those with NP (27.8 per 1000-PY). After adjustment for diabetes risk factors, relative to the NP group, the HR for future diabetes was 2.59 (95% CI: 2.45-2.74) (P<0.001) for the CP group, and 2.39 (95% CI: 2.30-2.48) (P<0.001) for the AP group.

Conclusion

Pancreatitis was associated with a high risk of diabetes independent of demographic, lifestyle, and comorbid conditions.

Machine learning for post-acute pancreatitis diabetes mellitus prediction and personalized treatment recommendations

Post-acute pancreatitis diabetes mellitus (PPDM-A) is the main component of pancreatic exocrine diabetes mellitus. Timely diagnosis of PPDM-A improves patient outcomes and the mitigation of burdens and costs. We aimed to determine risk factors prospectively and predictors of PPDM-A in China, focusing on giving personalized treatment recommendations. Here, we identify and evaluate the best set of predictors of PPDM-A prospectively using retrospective data from 820 patients with acute pancreatitis at four centers by machine learning approaches. We used the L1 regularized logistic regression model to diagnose early PPDM-A via nine clinical variables identified as the best predictors. The model performed well, obtaining the best AUC = 0.819 and F1 = 0.357 in the test set. We interpreted and personalized the model through nomograms and Shapley values. Our model can accurately predict the occurrence of PPDM-A based on just nine clinical pieces of information and allows for early intervention in potential PPDM-A patients through personalized analysis. Future retrospective and prospective studies with multicentre, large sample populations are needed to assess the actual clinical value of the model.

[Risk of postoperative complications in hyperglycemic conditions]

The authors consider the influence of carbohydrate metabolism disorders on postoperative period. Data on the influence of diabetes mellitus on morbidity are summarized. Mechanisms and significance of stress-induced hyperglycemia are described. The authors also discuss modern approaches to the treatment of hyperglycemic conditions in perioperative period.

The potential for utilising in-hospital glucose measurements to detect individuals at high risk of previously undiagnosed diabetes: Retrospective cohort study

BACKGROUND

Many people with undiagnosed diabetes have hyperglycaemia when admitted to hospital. Inpatient hyperglycaemia can be an indication of diabetes mellitus but can also indicate a stress response. This study reports the extent to which an in-hospital maximum observed random glucose measurement is an indicator of the need for in-hospital (or subsequent) HbA1c measurement to look for undiagnosed diabetes.

METHODS

Blood glucose, HbA1c, age and sex were collected for all adults following admission to a UK NHS trust hospital from 1 January 2019 to 31 December 2020. We restricted the analysis to those participants who were registered with a GP practice that uses the trust laboratory and who had at least some tests requested by those practices since 2008. We stratified individuals according to their maximum in-hospital glucose measurement and report the number of these with HbA1c measurement ≥48 mmol/mol (6.5%) prior to the index admission, and during and after admission. We calculated an estimated proportion of individuals in each blood glucose stratum without a follow-up HbA1c who could have undiagnosed diabetes.

RESULTS

In toal, 764,241 glucose measurements were recorded for 81,763 individuals who were admitted to the Oxford University Hospitals Trust. The median (Q1, Q3) age was 70 (56, 81) years, and 53% were males. Of the population, 70.7% of individuals declared themselves to be of White ethnicity, 3.1% of Asian background, and 1.1% of Black background, with 23.1% unstated. Of those individuals, 22,375 (27.4%) had no previous HbA1c measurement recorded. A total of 1689 individuals had a diabetes-range HbA1c during or after their hospital admission (2.5%) while we estimate an additional 1496 (2.2%) may have undiagnosed diabetes, with the greatest proportion of these having an in-hospital glucose of ≥15 mmol/L. We estimate that the number needed to detect a possible new case of diabetes falls from 16 (in-hospital glucose 8 mmol/L to <9 mmol/L) to 4 (14 mmol/L to <15 mmol/L).

CONCLUSION

The number of people who need to be tested to identify an individual who may have diabetes decreases as a testing threshold based on maximum in-hospital glucose concentration increases. Among those with hyperglycaemia and no previous HbA1c measurement in the diabetes range, there appears to be a lack of subsequent HbA1c measurement. This work identifies the potential for integrating the testing and follow-up of people, with apparently unrecognised hospital hyperglycaemia across primary and secondary care.

Stress-Induced Hyperglycemia: Consequences and Management

Hyperglycemia during stress is a common occurrence seen in patients admitted to the hospital. It is defined as a blood glucose level above 180mg/dl in patients without pre-existing diabetes. Stress-induced hyperglycemia (SIH) occurs due to an illness that leads to insulin resistance and decreased insulin secretion. Such a mechanism causes elevated blood glucose and produces a complex state to manage with external insulin. This article compiles various studies to explain the development and consequences of SIH in the critically ill that ultimately lead to an increase in mortality while also discussing the dire impact of SIH on certain acute illnesses like myocardial infarction and ischemic stroke. It also evaluates multiple studies to understand the management of SIH with insulin and proper nutritional therapy in the hospitalized patients admitted to the Intensive care unit (ICU) alongside the non-critical care unit. While emphasizing the diverse effects of improper control of SIH in the hospital, this article elucidates and discusses the importance of formulating a discharge plan due to an increased risk of type 2 diabetes in the recovered. 

Stress Hyperglycemia Is Associated With an Increased Risk of Subsequent Development of Diabetes Among Bacteremic and Nonbacteremic Patients

OBJECTIVE

Stress hyperglycemia is associated with an increased risk of diabetes among survivors of critical illness. We investigated whether patients without diabetes hospitalized for bacteremia or nonbacteremic diseases with transient stress hyperglycemia would have a higher risk of subsequent diabetes development compared with those who remained normoglycemic.

RESEARCH DESIGN AND METHODS

This retrospective observational study was conducted on 224,534 in-patients with blood culture records. Stress hyperglycemia was defined based on the highest random glucose level ≥7.8 mmol/L during the index admission period. Diagnosis of diabetes, as the primary end point of interest, was defined based on diagnostic codes, blood test results, or medication records. Differences in cumulative incidence and hazard ratios (HRs) of diabetes between groups were assessed using the Kaplan-Meier estimator and Cox regression.

RESULTS

After exclusion of patients with preexisting or undiagnosed diabetes or indeterminate diabetes status and propensity score matching, bacteremic patients with stress hyperglycemia had a significantly higher cumulative incidence of diabetes (HR 1.7, 95% CI 1.2-2.4) compared with those who remained normoglycemic. Stress hyperglycemia was further confirmed to be a diabetes predictor independent of age, sex, comorbidity, and other serological markers. For the nonbacteremic patients, stress hyperglycemia was similarly associated with a higher cumulative incidence of diabetes (HR 1.4, 95% CI 1.2-1.7).

CONCLUSIONS

Hospitalized patients with transient stress hyperglycemia had a higher risk of subsequent diabetes development compared with their normoglycemic counterparts. Recognition of an increased risk of diabetes in these patients can allow early detection and monitoring in their subsequent follow-ups.

Hyperglycemia at admission, comorbidities, and in-hospital mortality in elderly patients hospitalized in internal medicine wards: data from the RePoSI Registry

AIMS

The association between hyperglycemia at hospital admission and relevant short- and long-term outcomes in elderly population is known. We assessed the effects on mortality of hyperglycemia, disability, and multimorbidity at admission in internal medicine ward in patients aged ≥ 65 years.

METHODS

Data were collected from an active register of 102 internal medicine and geriatric wards in Italy (RePoSi project). Patients were recruited during four index weeks of a year. Socio-demographic data, reason for hospitalization, diagnoses, treatment, severity and comorbidity indexes (Cumulative Illness rating Scale CIRS-SI and CIRS-CI), renal function, functional (Barthel Index), and cognitive status (Short Blessed Test) and mood disorders (Geriatric Depression Scale) were recorded. Mortality rates were assessed in hospital 3 and 12 months after discharge.

RESULTS

Of the 4714 elderly patients hospitalized, 361 had a glycemia level ≥ 250 mg/dL at admission. Compared to subjects with lower glycemia level, patients with glycemia ≥ 250 mg/dL showed higher rates of male sex, smoke and class III obesity. These patients had a significantly lower Barthel Index (p = 0.0249), higher CIRS-SI and CIRS-CI scores (p = 0.0025 and p = 0.0013, respectively), and took more drugs. In-hospital mortality rate was 9.2% and 5.1% in subjects with glycemia ≥ 250 and < 250 mg/dL, respectively (p = 0.0010). Regression analysis showed a strong association between in-hospital death and glycemia ≥ 250 mg/dL (OR 2.07; [95% CI 1.34-3.19]), Barthel Index ≤ 40 (3.28[2.44-4.42]), CIRS-SI (1.87[1.27-2.77]), and male sex (1.54[1.16-2.03]).

CONCLUSIONS

The stronger predictors of in-hospital mortality for older patients admitted in general wards were glycemia level ≥ 250 mg/dL, Barthel Index ≤ 40, CIRS-SI, and male sex.

Lack of recognition and documentation of stress hyperglycemia is a disruptor of optimal continuity of care

Stress hyperglycemia (SH) is a manifestation of altered glucose metabolism in acutely ill patients which worsens outcomes and may represent a risk factor for diabetes. Continuity of care can assess this risk, which depends on quality of hospital clinical documentation. We aimed to determine the incidence of SH and documentation tendencies in hospital discharge summaries and continuity notes. We retrospectively examined diagnoses during a 12-months period. A 3-months representative sample of discharge summaries and continuity clinic notes underwent manual abstraction. Over 12-months, 495 admissions had ≥ 2 blood glucose measurements ≥ 10 mmol/L (180 mg/dL), which provided a SH incidence of 3.3%. Considering other glucose states suggestive of SH, records showing ≥ 4 blood glucose measurements ≥ 7.8 mmol/L (140 mg/dL) totaled 521 admissions. The entire 3-months subset of 124 records lacked the diagnosis SH documentation in discharge summaries. Only two (1.6%) records documented SH in the narrative of hospital summaries. Documentation or assessment of SH was absent in all ambulatory continuity notes. Lack of documentation of SH contributes to lack of follow-up after discharge, representing a disruptor of optimal care. Activities focused on improving quality of hospital documentation need to be integral to the education and competency of providers within accountable health systems.

Stress Hyperglycemia in Children and Adolescents as a Prognostic Indicator for the Development of Type 1 Diabetes Mellitus

Hyperglycemia is a common manifestation in the course of severe disease and is the result of acute metabolic and hormonal changes associated with various factors such as trauma, stress, surgery, or infection. Numerous studies demonstrate the association of adverse clinical events with stress hyperglycemia. This article briefly describes the pathophysiological mechanisms which lead to hyperglycemia under stressful circumstances particularly in the pediatric and adolescent population. The importance of prevention of hyperglycemia, especially for children, is emphasized and the existing models for the prediction of diabetes are presented. The available studies on the association between stress hyperglycemia and progress to type 1 diabetes mellitus are presented, implying a possible role for stress hyperglycemia as part of a broader prognostic model for the prediction and prevention of overt disease in susceptible patients.

Body condition and poxvirus infection predict circulating glucose levels in a colorful songbird that inhabits urban and rural environments

There is widespread contemporary interest in causes and consequences of blood glucose status in humans (e.g., links to diabetes and cardiovascular disease), but we know comparatively less about what underlies variation in glucose levels of wild animals. Several environmental factors, including diet, disease status, and habitat quality, may regulate glucose circulation, and we are in need of work that assesses many organismal traits simultaneously to understand the plasticity and predictability of glucose levels in ecological and evolutionary contexts. Here, we measured circulating glucose levels in a species of passerine bird (the house finch, Haemorhous mexicanus) that has served as a valuable model for research on sexual selection, disease, and urban behavioral ecology, as these animals display sexually dichromatic ornamental coloration, harbor many infectious diseases (e.g., poxvirus, coccidiosis, mycoplasmal conjunctivitis), and reside in both natural habitats and cities. We tested the effects of sex, habitat type, body condition, coccidiosis and poxvirus infections, and expression of carotenoid plumage coloration on blood glucose concentrations and found that the body condition and poxvirus infection significantly predicted circulating glucose levels. Specifically, birds with higher blood glucose levels had higher body condition scores and were infected with poxvirus. This result is consistent with biomedical, domesticated-animal, and wildlife-rehabilitation findings, and the premise that glucose elevation is a physiological response to or indicator of infection and relative body weight. The fact that we failed to find links between glucose and our other measurements suggests that blood glucose levels can reveal some but not all aspects of organismal or environmental quality.

Admission glucose level was associated with increased short-term mortality and length-of-stay irrespective of diagnosis, treating medical specialty or concomitant laboratory values

BACKGROUND

Glucose is a routine emergency sample. General guidelines for inpatient hyperglycemia are scarce, except in myocardial infarction, stroke, and perioperative/ICU. Previous studies found admission glucose associated with increased mortality in specific conditions. Scandinavian data, and for general patients, are scarcer. We investigated admission glucose levels, 30-day mortality, and length-of-stay (LoS), in a Swedish hospital.

METHODS

From 8146 emergency visits data regarding age, gender, dates of admission, discharge and death, diagnoses, admission p-glucose, s-sodium, s-potassium, b-hemoglobin, b-WBC and s-CRP, was collected, and for 6283 information regarding diagnosis of diabetes the previous 5 years. Visits were grouped in hypoglycemia (≤4.0), normoglycemia (>4.0-≤7.0), modest (>7.0-≤11.1) and severe hyperglycemia (>11.1) mmol/l.

RESULTS

Short-term mortality was 1.5% in the normoglycemic, 2.6% in the hypoglycemic, 4.0-4.5% in modest and severe hyperglycemia, p < 0.001; Cox proportional hazard ratios (HR) for groups of patients without/with diabetes were 6.8; 1; 3.4; 4.4/7.3; 3.9; 4.0; 2.1 compared to the normoglycemic without diabetes (p 0.0001-0.05); adjusted for age, and concurrent levels of sodium, potassium, Hb, WBC and CRP 1.51 (1.07-2.1, p 0.02) with modest hyperglycemia, and 1.08 (0.60-1.95, p 0.80) in severe hyperglycemia. Mean LoS was 1.2 and 1.7 days longer with modest and severe hyperglycemia.

CONCLUSIONS

Short-term mortality increased substantially with admission hypo- and hyperglycemia for patients both with and without diabetes, irrespective of treating medical specialty, main discharge diagnosis, or concurrent laboratory values. Patients with diabetes (16%) were older, with higher glucose levels at admission, and with a different pattern of the association of admission glucose and mortality.

Hepatic and renal functions and blood cell counts in brain tumor patients during the perioperative period

We aimed to investigate the correlations between biochemical and hematological markers and the clinical conditions of brain tumor patients before and after craniotomy. A retrospective study was conducted in 90 brain tumor patients. Age, gender, underlying diseases, tumor size and intraoperative blood loss were recorded. Red blood cell counts and hepatic and renal markers were analyzed preoperatively and postoperatively. Albumin decreased by 5.6 g/L after surgery (p < 0.001). Older patients (>52 years) and females had lower albumin levels than younger patients and males did. Red blood cell counts and hemoglobin levels decreased significantly on the 1st and increased on the 3rd postoperative day. The blood glucose level increased on the 1st postoperative day and then decreased. Older patients had higher blood glucose levels than younger patients did (p < 0.05). The postoperative serum sodium, potassium and calcium levels were within the normal ranges; 37 patients had hypocalcemia (41.1%) and patients with hypokalemia and hyponatremia increased postoperatively. Albumin and hemoglobin levels were linearly correlated (correlation coefficient 0.559, p < 0.001). Intraoperative blood loss was correlated with tumor size (p < 0.05) but did not affect the decrease in hematological markers. In brain tumor patients, red blood cell counts and hemoglobin and serum albumin levels were significantly decreased after craniotomy; these effects were influenced by gender and age instead of intraoperative blood loss. The postoperative blood glucose level peaked and then decreased; it was affected by age and diabetes mellitus. Electrolytes remained relatively stable. These findings have implications for patient management and postoperative complication prevention.

High diabetes prevalence and insulin medication errors in hospital patients

We conducted three single-day point type 2 diabetes prevalence surveys of all inpatient clinical records in November 2013, 2014 and 2016. The prevalence of diabetes was 19.7-25.3%. The majority (63.4-76%) had type 2 diabetes. Twenty-one percent (n = 21) in 2013, 12% (n = 9) in 2014 and 22.6% (n = 21) in 2016 were diagnosed with diabetes during hospital admission; 41.8% (n = 41) in 2013, 46.7% (n = 35) in 2014 and 51.6% (n = 48) in 2016 required insulin. The high prevalence of diabetes among inpatients mandates active detection and specialist management of diabetes during the admission.

Incident Diabetes in Survivors of Critical Illness and Mechanisms Underlying Persistent Glucose Intolerance: A Prospective Cohort Study

OBJECTIVES

Stress hyperglycemia occurs in critically ill patients and may be a risk factor for subsequent diabetes. The aims of this study were to determine incident diabetes and prevalent prediabetes in survivors of critical illness experiencing stress hyperglycemia and to explore underlying mechanisms.

DESIGN

This was a prospective, single center, cohort study. At admission to ICU, hemoglobin A1c was measured in eligible patients. Participants returned at 3 and 12 months after ICU admission and underwent hemoglobin A1c testing and an oral glucose tolerance test. Blood was also collected for hormone concentrations, whereas gastric emptying was measured via an isotope breath test. β-cell function was modeled using standard techniques.

SETTING

Tertiary-referral, mixed medical-surgical ICU.

PATIENTS

Consecutively admitted patients who developed stress hyperglycemia and survived to hospital discharge were eligible.

MEASUREMENTS AND MAIN RESULTS

Consent was obtained from 40 patients (mean age, 58 yr [SD, 10], hemoglobin A1c 36.8 mmol/mol [4.9 mmol/mol]) with 35 attending the 3-month and 26 the 12-month visits. At 3 months, 13 (37%) had diabetes and 15 (43%) had prediabetes. At 12 months, seven (27%) participants had diabetes, whereas 11 (42%) had prediabetes. Mean hemoglobin A1c increased from baseline during the study: +0.7 mmol/mol (-1.2 to 2.5 mmol/mol) at 3 months and +3.3 mmol/mol (0.98-5.59 mmol/mol) at 12 months (p = 0.02). Gastric emptying was not significantly different across groups at either 3 or 12 months.

CONCLUSIONS

Diabetes and prediabetes occur frequently in survivors of ICU experiencing stress hyperglycemia. Based on the occurrence rate observed in this cohort, structured screening and intervention programs appear warranted.

Hospitalized patients with stress hyperglycemia: incidence of diabetes and mortality on follow-up

INTRODUCTION

The study objective was to estimate during post-discharge follow-up the incidence of diabetes and to ascertain mortality in hospitalized patients, classified during follow-up as having stress hyperglycemia (SH) or normoglycemia (NG) based on blood glucose levels.

MATERIAL AND METHODS

A retrospective cohort of non-diabetic adults with SH (> 140mg/dl and HbA1c <6.5%) or NG (all blood glucose values ≤ 140mg/dl) was used.

RESULTS

There were 3981 patients with NG and 884 with SH. During the observation period (median follow-up of 1.83 years), there were 255 cases of diabetes and 831 deaths. The cumulative incidence of diabetes per year was 1.59% (95% CI: 1.23-2.06) in patients with NG and 7.39% (95% CI: 5.70-9.56) in those with SH. SH was significantly associated to diabetes (crude HR 1.33, 95% CI: 1.13-1.73, p .025), even after adjusting for age and sex (adjusted HR 1.38, 95% CI 1.06-1.78, p .014). The mortality rate at one year was 10.07% (95% CI: 9.18-11.05) in NG patients and 13.24% (95% CI: 11.17-15.65) in SH patients. The sub-hazard ratio of developing diabetes considering death as a competitive event was 1.41 (95% CI 1.29-1.53, p <.001).

CONCLUSIONS

SH is a risk factor for diabetes. There were no differences in mortality during follow-up, but death appears to be a competitive event in development of diabetes in this population.

Manejo de pacientes diabéticos hospitalizados

La diabetes es una enfermedad con importante prevalencia en todo el mundo. Se calcula que cerca de 415 millones de personas la padecen en la actualidad y que para el año 2040 esta cifra aumentará poco más del 50%. Debido a esto, se estima que gran parte de los ingresos por urgencias serán de pacientes diabéticos o sujetos a los cuales esta patología se les diagnosticará en dicha hospitalización; esta situación hace necesario conocer los lineamientos y las recomendaciones de las guías para el manejo intrahospitalario de los pacientes con hiperglucemia.El pilar fundamental del manejo hospitalario de diabetes es la monitorización intensiva, junto con la educación al paciente y la administración de insulina. El control glicémico es clave debido a que disminuye complicaciones intrahospitalarias. Cabe resaltar que el control estricto puede llevar a hipoglucemias, por lo que los episodios deben ser debidamente documentados y su causa corregida de inmediato.

Trends in HbA1c levels and implications for diabetes screening in tuberculosis cases undergoing treatment in India

SETTING

The optimal timing of screening for diabetes mellitus (DM) among tuberculosis (TB) cases is unclear due to the possibility of stress hyperglycemia.

DESIGN

We evaluated adult (18 years) pulmonary TB cases at treatment initiation as well as at 3 months, 6 months and 12 months. DM was identified by self-report (known DM) or glycated hemoglobin (HbA1c)  6.5% (new DM). Trends in HbA1c levels during treatment were assessed using non-parametric tests.

RESULTS

Of the 392 participants enrolled, 75 (19%) had DM, 30 (40%) of whom had new DM. Of the 45 participants with known DM, respectively 37 (82%) and 40 (89%) received medication to lower glucose levels at treatment initiation and completion; one participant with new DM initiated glucose-lowering medication during follow-up. The median HbA1c level in participants with known, new and no DM was respectively 10.1% (interquartile range [IQR] 8.3-11.6), 8.5% (IQR 6.7-11.5) and 5.6% (IQR 5.3-5.9) at treatment initiation, and 8.7% (IQR 6.8-11.3), 7.1% (IQR 5.8-9.5) and 5.3% (IQR 5.1-5.6) at treatment completion (P < 0.001). Overall, 5 (12%) with known and 13 (43%) with new DM at treatment initiation had reverted to HbA1c < 6.5% by treatment completion (P = 0.003); the majority of reversions occurred during the first 3 months, with no significant reversions beyond 6 months.

CONCLUSION

HbA1c levels declined with anti-tuberculosis treatment. Repeat HbA1c testing at treatment completion could reduce the risk of misdiagnosis of DM.

Incidence of hyperglycemia and diabetes and association with electrolyte abnormalities in pediatric solid organ transplant recipients

Background

Posttransplant hyperglycemia is an important predictor of new-onset diabetes after transplantation, and both are associated with significant morbidity and mortality. Precise estimates of posttransplant hyperglycemia and diabetes in children are unknown. Low magnesium and potassium levels may also lead to diabetes after transplantation, with limited evidence in children.

Methods

We conducted a cohort study of 451 pediatric solid organ transplant recipients to determine the incidence of hyperglycemia and diabetes, and the association of cations with both endpoints. Hyperglycemia was defined as random blood glucose levels ≥11.1 mmol/L on two occasions after 14 days of transplant not requiring further treatment. Diabetes was defined using the American Diabetes Association Criteria. For magnesium and potassium, time-fixed, time-varying and rolling average Cox proportional hazards models were fitted to evaluate the association with hyperglycemia and diabetes.

Results

Among 451 children, 67 (14.8%) developed hyperglycemia and 27 (6%) progressed to diabetes at a median of 52 days (interquartile range 22-422) from transplant. Multi-organ recipients had a 9-fold [hazard ratio (HR) 8.9; 95% confidence interval (CI) 3.2-25.2] and lung recipients had a 4.5-fold (HR 4.5; 95% CI 1.8-11.1) higher risk for hyperglycemia and diabetes, respectively, compared with kidney transplant recipients. Both magnesium and potassium had modest or no association with the development of hyperglycemia and diabetes.

Conclusions

Hyperglycemia and diabetes occur in 15 and 6% children, respectively, and develop early posttransplant with lung or multi-organ transplant recipients at the highest risk. Hypomagnesemia and hypokalemia do not confer significantly greater risk for hyperglycemia or diabetes in children.

A systematic scoping review on the consequences of stress-related hyperglycaemia

Background

Stress-related hyperglycaemia (SHG) is commonly seen in acutely ill patients and has been associated with poor outcomes in many studies performed in different acute care settings. We aimed to review the available evidence describing the associations between SHG and different outcomes in acutely ill patients admitted to an ICU. Study designs, populations, and outcome measures used in observational studies were analysed.

Methods

We conducted a systematic scoping review of observational studies following the Joanna Briggs methodology. Medline, Embase, and the Cochrane Library were searched for publications between January 2000 and December 2015 that reported on SHG and mortality, infection rate, length of stay, time on ventilation, blood transfusions, renal replacement therapy, or acquired weakness.

Results

The search yielded 3,063 articles, of which 43 articles were included (totalling 536,476 patients). Overall, the identified studies were heterogeneous in study conduct, SHG definition, blood glucose measurements and monitoring, treatment protocol, and outcome reporting. The most frequently reported outcomes were mortality (38 studies), ICU and hospital length of stay (23 and 18 studies, respectively), and duration of mechanical ventilation (13 studies). The majority of these studies (40 studies) compared the reported outcomes in patients who experienced SHG with those who did not. Fourteen studies (35.9%) identified an association between hyperglycaemia and increased mortality (odds ratios ranging from 1.13 to 2.76). Five studies identified hyperglycaemia as an independent risk factor for increased infection rates, and one identified it as an independent predictor of increased ICU length of stay.

Discussion

SHG was consistently associated with poor outcomes. However, the wide divergences in the literature mandate standardisation of measuring and monitoring SHG and the creation of a consensus on SHG definition. A better comparability between practices will improve our knowledge on SHG consequences and management.

Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach

Urban living in modern large cities has significant adverse effects on health, increasing the risk of several chronic diseases. We focus on the two leading clusters of chronic disease, heart disease and diabetes, and develop data-driven methods to predict hospitalizations due to these conditions. We base these predictions on the patients' medical history, recent and more distant, as described in their Electronic Health Records (EHR). We formulate the prediction problem as a binary classification problem and consider a variety of machine learning methods, including kernelized and sparse Support Vector Machines (SVM), sparse logistic regression, and random forests. To strike a balance between accuracy and interpretability of the prediction, which is important in a medical setting, we propose two novel methods: K-LRT, a likelihood ratio test-based method, and a Joint Clustering and Classification (JCC) method which identifies hidden patient clusters and adapts classifiers to each cluster. We develop theoretical out-of-sample guarantees for the latter method. We validate our algorithms on large datasets from the Boston Medical Center, the largest safety-net hospital system in New England.

Inpatient Glucose Values: Determining the Nondiabetic Range and Use in Identifying Patients at High Risk for Diabetes

BACKGROUND

Many individuals with diabetes remain undiagnosed, leading to delays in treatment and higher risk for subsequent diabetes complications. Despite recommendations for diabetes screening in high-risk groups, the optimal approach is not known. We evaluated the utility of inpatient glucose levels as an opportunistic screening tool for identifying patients at high risk for diabetes.

METHODS

We retrospectively examined 462,421 patients in the US Department of Veterans Affairs healthcare system, hospitalized on medical/surgical services in 2000-2010, for ≥3 days, with ≥2 inpatient random plasma glucose (RPG) measurements. All had continuity of care: ≥1 primary care visit and ≥1 glucose measurement within 2 years before hospitalization and yearly for ≥3 years after discharge. Glucose levels during hospitalization and incidence of diabetes within 3 years after discharge in patients without diabetes were evaluated.

RESULTS

Patients had a mean age of 65.0 years, body mass index of 29.9 kg/m², and were 96% male, 71% white, and 18% black. Pre-existing diabetes was present in 39.4%, 1.3% were diagnosed during hospitalization, 8.1% were diagnosed 5 years after discharge, and 51.3% were never diagnosed (NonDM). The NonDM group had the lowest mean hospital RPG value (112 mg/dL [6.2 mmol/L]). Having at least 2 RPG values >140 mg/dL (>7.8 mmol/L), the 95th percentile of NonDM hospital glucose, provided 81% specificity for identifying incident diabetes within 3 years after discharge.

CONCLUSIONS

Screening for diabetes could be considered in patients with at least 2 hospital glucose values at/above the 95th percentile of the nondiabetic range (141 mg/dL [7.8 mmol/L]).

In pregnancy increased maternal STAI trait stress score shows decreased insulin sensitivity and increased stress hormones

INTRODUCTION

Chronic or acute stressors influence maternal and fetal Hypothalamus-Pituitary-Adrenal Axes (HPA) during pregnancy. In this study, the effect of maternal stress into maternal insulin sensitivity was investigated during pregnancy.

MATERIALS AND METHODS

Eighty-two pregnant women [aged 27.1±2.5 (mean±SD) yrs; BMI=25±2.2kg/m²] had at the 2^nd and 3^rd trimesters anthropometry, fasting blood samples (cortisol, Corticotropin Releasing Hormone (CRH), active amylin, Interleukin (IL6)), Oral Glucose Tolerance Test (OGTT) for glucose and insulin, state-trait anxiety inventory (STAI) trait and state questionnaires (for stress assessment).

RESULTS

Maternal cortisol, CRH and STAI state score increased significantly from 2^nd to 3^rd trimester. At these trimesters women with STAI trait scores ≥40 had greater serum cortisol and CRH concentrations and lower insulin sensitivity index (ISI) values than those with scores <40 while STAI trait score predicted negatively ISI. At the 2^nd trimester maternal CRH concentrations correlated positively with maternal STAI state, Homeostatic Model Assessment Insulin Resistance (HOMAR), 1^st and 2^nd phase insulin secretion and negatively with ISI. STAI trait correlated negatively with ISI. STAI state correlated positively with maternal systolic blood pressure and HOMAR. At the 3^rd trimester STAI trait correlated negatively and positively with ISI and STAI state, respectively, while STAI state correlated positively with HOMAR. In women with STAI state scores ≥40, these scores correlated positively with maternal CRH.

CONCLUSIONS

In normal pregnant women, enhanced long-term stress is associated with decreased insulin sensitivity. Both long- and short- term stress are associated with enhanced maternal HPA axis and increased placental CRH secretion.

New-Onset Diabetes After Acute and Critical Illness: A Systematic Review

Hyperglycemia is commonly observed during acute and critical illness. Recent studies have investigated the risk of developing diabetes after acute and critical illness, but the relationship between degree of in-hospital hyperglycemia and new-onset diabetes has not been investigated. This study examines the evidence for the relationship between in-hospital hyperglycemia and prevalence of new-onset diabetes after acute and critical illness. A literature search was performed of the MEDLINE, EMBASE, and Scopus databases for relevant studies published from January 1, 2000, through August 4, 2016. Patients with no history of diabetes before hospital discharge were included in the systematic review. In-hospital glucose concentration was classified as normoglycemia, mild hyperglycemia, or severe hyperglycemia for the meta-analysis. Twenty-three studies were included in the systematic review, and 18 of these (111,078 patients) met the eligibility criteria for the meta-analysis. The prevalence of new-onset diabetes was significantly related to in-hospital glucose concentration and was 4% (95% CI, 2%-7%), 12% (95% CI, 9%-15%), and 28% (95% CI, 18%-39%) for patients with normoglycemia, mild hyperglycemia, and severe hyperglycemia, respectively. The prevalence of new-onset diabetes was not influenced by disease setting, follow-up duration, or study design. In summary, this study found stepwise growth in the prevalence of new-onset diabetes with increasing in-hospital glucose concentration. Patients with severe hyperglycemia are at the highest risk, with 28% developing diabetes after hospital discharge.

Association Between Inpatient Sleep Loss and Hyperglycemia of Hospitalization

OBJECTIVE

To determine whether inpatient sleep duration and efficiency are associated with a greater risk of hyperglycemia in hospitalized patients with and without diabetes.

RESEARCH DESIGN AND METHODS

In this retrospective analysis of a prospective cohort study, medical inpatients ≥50 years of age were interviewed, and their charts were reviewed to obtain demographic data and diagnosis. Using World Health Organization criteria, patients were categorized as having normal blood glucose, impaired fasting blood glucose, or hyperglycemia based on morning glucose from the electronic health record. Wrist actigraphy measured sleep. Multivariable ordinal logistic regression models, controlling for subject random effects, tested the association between inpatient sleep duration and proportional odds of hyperglycemia versus impaired fasting blood glucose or impaired fasting blood glucose versus normal blood glucose in hospitalized adults.

RESULTS

A total of 212 patients (60% female and 74% African American) were enrolled. Roughly one-third (73, 34%) had diabetes. Objective inpatient sleep measures did not differ between patients with or without diabetes. In ordinal logistic regression models, each additional hour of in-hospital sleep was associated with an 11% (odds ratio 0.89 [95% CI 0.80, 0.99]; P = 0.043) lower proportional odds of a higher glucose category the next morning (hyperglycemia vs. elevated and elevated vs. normal). Every 10% increase in sleep efficiency was associated with an 18% lower proportional odds of a higher glucose category (odds ratio 0.82 [95% CI 0.74, 0.89]; P < 0.001).

CONCLUSIONS

Among medical inpatients, both shorter sleep duration and worse sleep efficiency were independently associated with greater proportional odds of hyperglycemia and impaired fasting glucose.

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.

Prevalence of undiagnosed hyperglycaemia in patients presenting to the Department of Emergency Medicine with no known history of diabetes

BACKGROUND

Diabetes is considered a major epidemic of the 21st century. Usually, diabetes begins asymptomatically and the diagnosis takes place an average of 8-12 years after the onset of dysglycaemia. Blood check for glucose is taken at different medical setting, whether at the fasting condition or randomly. Previous studies had shown that abnormal blood glucose predicts future diabetes. Hence, medical staff should consider taking reasonable actions in patients with abnormal blood glucose.

OBJECTIVE

To assess the prevalence of hyperglycaemia in patients presenting to the Department of Emergency Medicine (DEM) with no known history of diabetes, and to evaluate how often were they recommended following this up as an outpatient by the medical staff.

DESIGN

A cross-sectional study examined the medical records of adult patients referred to the DEM during 1 November 2011-31 January 2012.

PARTICIPANTS

Patients with random blood glucose ≥140 mg/dL and no known history of diabetes were included in the study. The discharge letter was examined for the presence of instructions to conduct further follow up.

KEY RESULTS

A total of 16 784 patients presented to the DEM. Of these, 402 patients (2.4%) without known diabetes were hyperglycaemic, 346 patients had blood glucose levels ≥140 mg/dL and 56 patients had blood glucose levels above 200 mg/dL. Only 35 of the 402 included patient files (8.7%) contained instructions for further investigation. There was no statistically significant difference between those who received a letter for further follow up compared with those who did not receive it with respect to age, sex or blood glucose levels.

CONCLUSION

Over 2% of patients who presented to the DEM were hyperglycaemic, without a prior diagnosis of diabetes. A small per cent was recommended to have outpatient follow-up. This represents a missed opportunity for earlier diagnosis of diabetes and emphasised the need for raising medical staff awareness concerning abnormal blood glucose and its implication.

The prevalence of hyperglycaemia and its relationship with mortality, readmissions and length of stay in an older acute surgical population: a multicentre study

BACKGROUND

The purpose of the study is to examine the prevalence of hyperglycaemia in an older acute surgical population and its effect on clinically relevant outcomes in this setting.

METHODS

Using Older Persons Surgical Outcomes Collaboration (OPSOC) multicentre audit data 2014, we examined the prevalence of admission hyperglycaemia, and its effect on 30-day and 90-day mortality, readmission within 30 days and length of acute hospital stay using logistic regression models in consecutive patients, ≥65 years, admitted to five acute surgical units in the UK hospitals in England, Scotland and Wales. Patients were categorised in three groups based on their admission random blood glucose: <7.1, between 7.1 and 11.1 and ≥11.1 mmol/L.

RESULTS

A total of 411 patients (77.25±8.14 years) admitted during May and June 2014 were studied. Only 293 patients (71.3%) had glucose levels recorded on admission. The number (%) of patients with a blood glucose <7.1, 7.1-11.1 and ≥11.1 mmol/L were 171 (58.4), 99 (33.8) and 23 (7.8), respectively. On univariate analysis, admission hyperglycaemia was not predictive of any of the outcomes investigated. Although the characteristics of those with no glucose level were not different from the included sample, 30-day mortality was significantly higher in those who had not had their admission glucose level checked (10.2% vs 2.7%), suggesting a potential type II error.

CONCLUSION

Despite current guidelines, nearly a third of older people with surgical diagnoses did not have their glucose checked on admission highlighting the challenges in prognostication and evaluation research to improve care of older frail surgical patients.

Stress Induced Hyperglycemia and the Subsequent Risk of Type 2 Diabetes in Survivors of Critical Illness

OBJECTIVE

Stress induced hyperglycemia occurs in critically ill patients who have normal glucose tolerance following resolution of their acute illness. The objective was to evaluate the association between stress induced hyperglycemia and incident diabetes in survivors of critical illness.

DESIGN

Retrospective cohort study.

SETTING

All adult patients surviving admission to a public hospital intensive care unit (ICU) in South Australia between 2004 and 2011.

PATIENTS

Stress induced hyperglycemia was defined as a blood glucose ≥ 11.1 mmol/L (200 mg/dL) within 24 hours of ICU admission. Prevalent diabetes was identified through ICD-10 coding or prior registration with the Australian National Diabetes Service Scheme (NDSS). Incident diabetes was identified as NDSS registration beyond 30 days after hospital discharge until July 2015. The predicted risk of developing diabetes was described as sub-hazard ratios using competing risk regression. Survival was assessed using Cox proportional hazards regression.

MAIN RESULTS

Stress induced hyperglycemia was identified in 2,883 (17%) of 17,074 patients without diabetes. The incidence of type 2 diabetes following critical illness was 4.8% (821 of 17,074). The risk of diabetes in patients with stress induced hyperglycemia was approximately double that of those without (HR 1.91 (95% CI 1.62, 2.26), p<0.001) and was sustained regardless of age or severity of illness.

CONCLUSIONS

Stress induced hyperglycemia identifies patients at subsequent risk of incident diabetes.

Relationship of Endothelial Cell-Specific Molecule 1 Level in Stress Hyperglycemia Patients With Acute ST-Segment Elevation Myocardial Infarction: A Pilot Study

Endothelial cell-specific molecule 1 ([ESM-1], endocan) is a new biomarker of endothelial dysfunction, which may be involved in the pathogenesis of atherosclerosis and stress hyperglycemia in patients with acute ST-segment elevation myocardial infarction (STEMI). Therefore, we investigated serum ESM-1 levels in patients with stress hyperglycemia having STEMI; 105 patients with STEMI and 33 individuals as a control group were included in the study. The patients were followed up for 3 months and major adverse cardiac events (MACEs) were recorded. Serum ESM-1 level was significantly higher in patients with stress hyperglycemia patients having STEMI (P < .05). In these patients, serum ESM-1 levels correlated positively with glucose levels (r = .21, P < .05). Multiple factor logistic regression analysis showed that serum ESM-1 levels >1.01 ng/mL (odds ratio 3.01, 95% confidence interval 1.05-8.64, P < .05) were an independent predictor of MACEs. Our findings suggest that ESM-1 is a novel biomarker overexpressed in patients with stress hyperglycemia having STEMI, admission glucose levels are associated with ESM-1 levels, and ESM-1 is an independent predictor of MACEs. An ESM-1 level >1.01 ng/mL is likely to predict a greater risk of MACEs.

Incidence and predisposing factors for the development of disturbed glucose metabolism and DIabetes mellitus AFter Intensive Care admission: the DIAFIC study

Introduction

Elevated blood glucose levels during intensive care unit (ICU) stay, so-called stress hyperglycaemia (SH), is a common finding. Its relation with a future diabetes risk is unclear. Our objective was to determine the incidence of disturbed glucose metabolism (DGM) post ICU admission and to identify predictors for future diabetes risk with a focus on stress hyperglycaemia.

Methods

This single center prospective cohort trial (DIAFIC trial) had a study period between September 2011 and March 2013, with follow-up until December 2013. The setting was a mixed medical/surgical ICU in a tertiary teaching hospital in Belgium. 338 patients without known diabetes mellitus were included for analysis. We assessed the level of glucose metabolism disturbance (as diagnosed with a 75 g oral glucose tolerance test (OGTT) and/or HbA1c level) eight months after ICU admission, and investigated possible predictors including stress hyperglycaemia.

Results

In total 246 patients (73 %) experienced stress hyperglycaemia during the ICU stay. Eight months post-ICU admission, 119 (35 %) subjects had a disturbed glucose metabolism, including 24 (7 %) patients who were diagnosed with diabetes mellitus. A disturbed glucose metabolism tended to be more prevalent in subjects who experienced stress hyperglycaemia during ICU stay as compared to those without stress hyperglycaemia (38 % vs. 28 %, P = 0.065). HbA1c on admission correlated with the degree of stress hyperglycaemia. A diabetes risk score (FINDRISC) (11.0 versus 9.5, P = 0.001), the SAPS3 score (median of 42 in both groups, P = 0.003) and daily caloric intake during ICU stay (197 vs. 222, P = 0.011) were independently associated with a disturbed glucose metabolism.

Conclusions

Stress hyperglycaemia is frequent in non-diabetic patients and predicts a tendency towards disturbances in glucose metabolism and diabetes mellitus. Clinically relevant predictors of elevated risk included a high FINDRISC score and a high SAPS3 score. These predictors can provide an efficient, quick and inexpensive way to identify patients at risk for a disturbed glucose metabolism or diabetes, and could facilitate prevention and early treatment.

Trial registration

At ClinicalTrials.gov NCT02180555. Registered 1 July, 2014.