Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes

Retrospective observational study of the association of peak blood glucose during the second 24 hours of admission with hospital-acquired complications in non-critical care admissions to a tertiary referral teaching hospital

INTRODUCTION

Stress hyperglycaemia at hospital presentation is associated with poorer outcomes. Less is known about the risk of poorer outcomes according to achieved glycaemia early in the admission.

RESEARCH DESIGN/METHODS

This was a retrospective observational study of patients admitted to non-critical care wards. The aim was to determine the relationship between the day 2 peak blood glucose and the occurrence of hospital-acquired complications (HACs) or in-hospital mortality. A Cox proportional hazards model, adjusted for relevant covariates, was used to evaluate the impact of day 2 peak glucose on HACs and in-hospital mortality, and we identified peak glucose thresholds correlating with an increase in risk.

RESULTS

For the whole cohort, day 2 peak glucose was associated with an increased risk of any HAC, aHR=1.06, 95% CI: 1.04, 1.07; but not in-hospital mortality, aHR=0.98, 95% CI: 0.94, 1.01. The risk of HAC infection increased by 4.6% for every mmol/L rise in day 2 peak glucose (aHR=1.05, 95% CI: 1.02, 1.08) in the diabetes cohort compared with 5.5% (aHR=1.06, 95% CI: 1.00, 1.11) in the non-diabetes cohort. The risk of HAC cardiac in the diabetes cohort increased by 5.3% (aHR=1.05, CI: 1.01, 1.10) per mmol/L increase in day 2 peak glucose; no association was found in the non-diabetes cohort (aHR=1.03, 95% CI: 0.94, 1.13). The risk for in-hospital mortality was associated with day 2 peak glucose, aHR=1.11, 95% CI: 1.03, 1.20, in patients without diabetes, but not in patients with diabetes, aHR=1.00, 95% CI: 0.95, 1.06. There was an increase in the risk of HAC once day 2 peak blood glucose exceeded 19.0 mmol/L (whole cohort), with thresholds of 13.6 mmol/L in the non-diabetes group and 19.5 mmol/L in the diabetes group.

CONCLUSION

The peak glucose on day 2 was a predictor of HAC in the entire cohort and in-hospital mortality in patients without diabetes.

Improving inpatient hyperglycaemia in non-critically ill adults in resident wards through audit and feedback

Inpatient hyperglycaemia is associated with an increase in morbidity and mortality, number of rehospitalisations and length of hospitalisation. Although the advantages of proper glycaemic control in hospitalised patients with diabetes are well established, a variety of barriers limit accomplishment of blood glucose targets. Our primary aim was to decrease the number of glucose values above 180 mg/dL in non-critical care hospitalised patients using an audit and feedback intervention with pharmacy and internal medicine residents. A resident-led multidisciplinary team implemented the quality improvement (QI) project including conception, literature review, educating residents, iterative development of audit and feedback tools and data analysis. The multidisciplinary team met every 5 weeks and undertook three 'plan-do-study-act' cycles over an 8-month intervention period (August 2022 to March 2023) to educate residents on inpatient hyperglycaemia management, develop and implement an audit and feedback process and assess areas for improvement. We performed 1045 audits analysing 16 095 accu-checks on 395 non-duplicated patients. Most audits showed compliance with guidelines. The monthly run-on chart shows per cent of glucose values above 180 mg/dL in our non-ICU hospitalised patients and an overall pre-to-post comparison of 25.1%-23.0% (p value<0.05). The intervention was well accepted by residents evidenced by survey results. We did not meet our primary aim to reduce hyperglycaemia by 30% and this combined with the audits showing mostly compliance with guidelines suggests that prescribing behaviour was not a key driver of inpatient hyperglycaemia in our population. This internal medicine resident and pharmacy interprofessional collaboration with audit and feedback for inpatient hyperglycaemia was feasible, well accepted and had a statistically significant yet small improvement in inpatient hyperglycaemia. The project may be helpful to others wishing to explore inpatient hyperglycaemia, interprofessional QI with pharmacists, resident-led QI and audit and feedback.

Effect of different acupuncture sequences of Huiyangjiuzhen acupoints on blood glucose and hemorheology in the anesthetized rabbits

Background and objective

Hemorheology and blood glucose are commonly used to estimate the risks of thrombosis and stress hyperglycemia after anaesthesia. The sequence of acupoint stimulation might influence the therapeutic effects of acupuncture. In the current study, we aimed at investigating the effect of different acupuncture sequences of "Huiyangjiuzhen" acupoints on the blood glucose and hemorheology in anesthetized rabbits.

Methods

Twenty-five rabbits were randomly divided into five groups, including the control group (CG), the positive-sequence group (PSG), the reverse-sequence group (RSG), the disorder-sequence group (DSG), and the random group (RG). Except for the CG and RG, the rabbits in other groups were acupunctured with different sequences of "Huiyangjiuzhen"acupoints when the rabbits were anesthetized. The acupoints in rabbits of the RG were chosen randomly. The levels of blood glucose and hemorheology indexes before and after anaesthesia was detected.

Results

In the PSG, Hηb 200/s, Mηb 30/s, Hηr 200/s, ERI, hematocrit and plasma viscosity levels were decreased, and the blood glucose level was not changed. In the DSG, the levels of Mηb 30/s and hematocrit were decreased, and the blood glucose was increased. In the CG, RSG and RG, no hemorheology indexes were changed and the blood glucose was increased.

Conclusion

"Huiyangjiuzhen" acupuncture could decrease the risks of post-operative thrombosis and stress hyperglycemia in anesthetized rabbits. This effectiveness depends on both acupuncture and acupuncture sequence at the "Huiyangjiuzhen" acupoints.

Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations

Objective

Health inequities can be influenced by demographic factors such as race and ethnicity, proficiency in English, and biological sex. Disparities may manifest as differential likelihood of testing which correlates directly with the likelihood of an intervention to address an abnormal finding. Our retrospective observational study evaluated the presence of variation in glucose measurements in the Intensive Care Unit (ICU).

Methods

Using the MIMIC-IV database (2008-2019), a single-center, academic referral hospital in Boston (USA), we identified adult patients meeting sepsis-3 criteria. Exclusion criteria were diabetic ketoacidosis, ICU length of stay under 1 day, and unknown race or ethnicity. We performed a logistic regression analysis to assess differential likelihoods of glucose measurements on day 1. A negative binomial regression was fitted to assess the frequency of subsequent glucose readings. Analyses were adjusted for relevant clinical confounders, and performed across three disparity proxy axes: race and ethnicity, sex, and English proficiency.

Results

We studied 24,927 patients, of which 19.5% represented racial and ethnic minority groups, 42.4% were female, and 9.8% had limited English proficiency. No significant differences were found for glucose measurement on day 1 in the ICU. This pattern was consistent irrespective of the axis of analysis, i.e. race and ethnicity, sex, or English proficiency. Conversely, subsequent measurement frequency revealed potential disparities. Specifically, males (incidence rate ratio (IRR) 1.06, 95% confidence interval (CI) 1.01 - 1.21), patients who identify themselves as Hispanic (IRR 1.11, 95% CI 1.01 - 1.21), or Black (IRR 1.06, 95% CI 1.01 - 1.12), and patients being English proficient (IRR 1.08, 95% CI 1.01 - 1.15) had higher chances of subsequent glucose readings.

Conclusion

We found disparities in ICU glucose measurements among patients with sepsis, albeit the magnitude was small. Variation in disease monitoring is a source of data bias that may lead to spurious correlations when modeling health data.

Association of baseline fasting plasma glucose with 1-year mortality in non-diabetic patients with acute cerebral infarction: a multicentre observational cohort study

OBJECTIVES

Evidence on the association between fasting blood glucose and mortality in non-diabetic patients who had a stroke is limited. We aimed to investigate the association of baseline fasting plasma glucose (FPG) with 1 year all-cause mortality in non-diabetic patients with acute cerebral infarction (ACI).

DESIGN

A multicentre prospective cohort study.

SETTING

Four grade A tertiary hospitals in the Xi'an district of China.

PARTICIPANTS

A total of 1496 non-diabetic patients within 7 days of ACI were included.

MAIN OUTCOME MEASURES

The outcome was 1 year all-cause mortality. Baseline FPG was analysed as a continuous variable and was divided into four quartiles (group Q1-group Q4). We used multivariable Cox regression analyses, curve fitting and Kaplan-Meier (K-M) analyses to explore the association of baseline FPG with 1 year all-cause mortality in non-diabetic patients with ACI.

RESULTS

After controlling for confounders, multivariable Cox regression analyses indicated a 17% increase in 1 year all-cause mortality for every 1 mmol/L of baseline FPG increase (HR=1.17, 95% CI 1.02 to 1.35, p=0.030). Patients from the Q4 group had 2.08 times increased hazard of 1 year all-cause mortality compared with the Q1 group (HR=2.08, 95% CI 1.13 to 3.82, p=0.019), while the survival rate of patients in group Q4 was decreased compared with that in other groups (p<0.001). The curve fitting revealed a positive but non-linear association of baseline FPG with 1-year all-cause mortality in non-diabetic patients with ACI.

CONCLUSION

In non-diabetic patients with ACI, elevated baseline FPG is an independent risk factor for 1-year all-cause mortality, and the two are positively and non-linearly associated. These results suggest that high FPG should be seen as a concern in non-diabetic patients with ACI.

Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran

OBJECTIVES

This study aimed to determine factors associated with intensive care unit (ICU) admission in patients hospitalised due to COVID-19.

DESIGN

Retrospective cohort.

SETTING

Confirmed hospitalised patients from all over Iran were considered for the study.

PARTICIPANTS

All patients with COVID-19 admitted to the hospital from March 2020 to May 2021 were included by census. ICU admission was defined by the following criteria: (1) admission to the ICU ward; (2) level of consciousness (loss of consciousness); and (3) use of invasive ventilation.

METHODS

This is a secondary data analysis from the Medical Care Monitoring Center. The association between different variables and ICU admission was assessed by forward Logistic regression and restricted cubic spline method.

RESULTS

The mean age of the 1 469 620 patients with COVID-19 was 54.49±20.58 years old, and 51.32% of the patients were male. The prevalence of ICU admission was 19.19%. The mean age of patients admitted to the ICU was higher than that of other hospitalised patients (62.49±19.73 vs 52.59±20.31 years). The prevalence of ICU admission was 17.17% in the first, 21.52% in the second, 19.72% in the third, 21.43 in the fourth and 17.4% in the fifth wave. In the multivariable model, age groups, sex, waves of the epidemic, comorbidities and saturation of peripheral oxygen (SpO2) <93% and acute respiratory distress syndrome (ARDS) were associated with an increased odds of ICU admission. The OR for ICU admission indicates a significant protective effect at a young age and then a significant risk factor for admission to the ICU ward at an old age.

CONCLUSIONS

Men, older adults, people who suffer from ARDS, patients with SpO2 levels of less than 93% and cases with comorbidities had the highest odds of ICU admission. Therefore, these groups should take all necessary precautions to avoid contracting COVID-19.

Improving the efficiency of virtual insulin teaching for patients admitted to hospital through the COVID-19 pandemic: a quality improvement initiative

BACKGROUND

Throughout the COVID-19 pandemic, many areas of medicine transitioned to virtual care. For patients with diabetes admitted to hospital, this included diabetes education and insulin teaching. Shifting to a virtual model of insulin teaching created new challenges for inpatient certified diabetes educators (CDE).

OBJECTIVE

We advanced a quality improvement project to improve the efficiency of safe and effective virtual insulin teaching throughout the COVID-19 pandemic. Our primary aim was to reduce the mean time between CDE referral to successful inpatient insulin teach by 0.5 days.

DESIGN, SETTING, PARTICIPANTS

We conducted this initiative at two large academic hospitals between April 2020 and September 2021. We included all admitted patients with diabetes who were referred to our CDE for inpatient insulin teaching and education.

INTERVENTION

Alongside a multidisciplinary team of project stakeholders, we created and studied a CDE-led, virtual (video conference or telephone) insulin teaching programme. As tests of change, we added a streamlined method to deliver insulin pens to the ward for patient teaching, created a new electronic order set and included patient-care facilitators in the scheduling process.

MAIN OUTCOME AND MEASURES

Our main outcome measure was the mean time between CDE referral and successful insulin teach-back. Our process measure was the percentage of successful insulin pen deliveries to the ward for teaching. As balance measures, we captured the percentage of patients with a successful insulin teach, the time between insulin teach and hospital discharge, and readmissions to hospital for diabetes-related complications.

RESULTS

Our tests of change improved the efficiency of safe and effective virtual insulin teaching by 0.27 days. The virtual model appeared less efficient than usual in-person care.

CONCLUSIONS

In our centre, virtual insulin teaching supported patients admitted to hospital through the pandemic. Improving the administrative efficiency of virtual models and leveraging key stakeholders remain important for long-term sustainability.

Relationship between hyperglycaemia at admission and prognosis in patients with acute myocardial infarction: a retrospective cohort study

BACKGROUND

The optimal threshold of hyperglycaemia at admission for identifying high-risk individuals in patients with acute myocardial infarction (AMI) and its impact on clinical prognosis are still unclear.

METHODS

We retrospectively reviewed 2027 patients with AMI admitted from June 2001 to December 2012 in the 'Medical Information Mart for Intensive Care III' database. The significant cut-off values of admission blood glucose (Glucose_0) for predicting hospital mortality in patients with AMI with and without diabetes were obtained from the receiver operating characteristic (ROC) curve, then patients were assigned to hyperglycaemia and non-hyperglycaemia groups based on corresponding cut-off values. The primary endpoints were the hospital and 1-year mortality.

RESULTS

Among 2027 patients, death occurred in 311 patients (15.3%). According to the ROC curve, the significant cut-off values of Glucose_0 to predict hospital mortality were 224.5 and 139.5 mg/dL in patients with diabetes and without diabetes, respectively. The crude hospital and 1-year mortality of the hyperglycaemia subgroup were higher than the corresponding non-hyperglycaemia group (p< 0.01). After adjustment, regardless of the state of diabetes, hyperglycaemia at admission was related to significantly increased hospital mortality in patients with AMI. For patients with AMI without diabetes, hyperglycaemia at admission was positively correlated with the increase of 1-year mortality (HR, 1.47; 95% CI 1.18 to 1.82; p=0.001). Nevertheless, this trend disappeared in those with diabetes (HR, 1.35; 95% CI 0.93 to 1.95; p=0.113).

CONCLUSION

Hyperglycaemia at admission was an independent predictor for mortality during hospitalisation and at 1-year in patients with AMI, especially in patients without diabetes.

Sugar is not always sweet: exploring the relationship between hyperglycemia and COVID-19 in a predominantly African American population

INTRODUCTION

The purpose of this study is to examine the effect of admission glucose in patients hospitalized with COVID-19 with and without diabetes mellitus in a largely African American cohort.

DESIGN AND METHODS

This study included 708 adults (89% non-Hispanic Black) admitted with COVID-19 to an urban hospital between 1 March and 15 May 2020. Patients with diabetes were compared with those without and were stratified based on admission glucose of 140 and 180 mg/dL. Adjusted ORs were calculated for outcomes of mortality, intubation, intensive care unit (ICU) admission, acute kidney injury (AKI), and length of stay based on admission glucose levels.

RESULTS

Patients with diabetes with admission glucose >140 mg/dL (vs <140 g/dL) had 2.4-fold increased odds of intubation (95% CI 1.2 to 4.6) and 2.1-fold increased odds of ICU admission (95% CI 1.0 to 4.3). Patients with diabetes with admission glucose >180 mg/dL (vs <180 g/dL) had a 1.9-fold increased mortality (95% CI 1.2 to 3.1). Patients without diabetes with admission glucose >140 mg/dL had a 2.3-fold increased mortality (95% CI 1.3 to 4.3), 2.7-fold increased odds of ICU admission (95% CI 1.3 to 5.4), 1.9-fold increased odds of intubation (95% CI 1.0 to 3.7) and 2.2-fold odds of AKI (95% CI 1.1 to 3.8). Patients without diabetes with glucose >180 mg/dL had 4.4-fold increased odds of mortality (95% CI 1.9 to 10.4), 2.7-fold increased odds of intubation (95% CI 1.2 to 5.8) and 3-fold increased odds of ICU admission (95% CI 1.3 to 6.6).

CONCLUSION

Our results show hyperglycemia portends worse outcomes in patients with COVID-19 with and without diabetes. While our study was limited by its retrospective design, our findings suggest that patients presenting with hyperglycemia require closer observation and more aggressive therapies.

In-hospital hyperglycemia but not diabetes mellitus alone is associated with increased in-hospital mortality in community-acquired pneumonia (CAP): a systematic review and meta-analysis of observational studies prior to COVID-19

The objective of this review was to quantify the association between diabetes, hyperglycemia, and outcomes in patients hospitalized for community-acquired pneumonia (CAP) prior to the COVID-19 pandemic by conducting a systematic review and meta-analysis. Two investigators independently screened records identified in the PubMed (MEDLINE), EMBASE, CINAHL, and Web of Science databases. Cohort and case-control studies quantitatively evaluating associations between diabetes and in-hospital hyperglycemia with outcomes in adults admitted to hospital with CAP were included. Quality was assessed using the Newcastle-Ottawa Quality Assessment Scale, effect size using random-effects models, and heterogeneity using I2 statistics. Thirty-eight studies met the inclusion criteria. Hyperglycemia was associated with in-hospital mortality (adjusted OR 1.28, 95% CI 1.09 to 1.50) and intensive care unit (ICU) admission (crude OR 1.82, 95% CI 1.17 to 2.84). There was no association between diabetes status and in-hospital mortality (adjusted OR 1.04, 95% CI 0.72 to 1.51), 30-day mortality (adjusted OR 1.13, 95% CI 0.77 to 1.67), or ICU admission (crude OR 1.91, 95% CI 0.74 to 4.95). Diabetes was associated with increased mortality in all studies reporting >90-day postdischarge mortality and with longer length of stay only for studies reporting crude (OR 1.50, 95% CI 1.11 to 2.01) results. In adults hospitalized with CAP, in-hospital hyperglycemia but not diabetes alone is associated with increased in-hospital mortality and ICU admission. Diabetes status is associated with increased >90-day postdischarge mortality. Implications for management are that in-hospital hyperglycemia carries a greater risk for in-hospital morbidity and mortality than diabetes alone in patients admitted with non-COVID-19 CAP. Evaluation of strategies enabling timely and effective management of in-hospital hyperglycemia in CAP is warranted.

Inpatient hyperglycaemia, and impact on morbidity, mortality and re-hospitalisation rates

INTRODUCTION

Hyperglycaemia is related to poorer outcomes among hospital inpatients. We investigated the impact of hyperglycaemia at admission on length of hospital stay, readmission rate and mortality rate.

METHOD

We retrospectively analysed the records of 1,132 patients admitted to hospital in January 2019, April 2019, August 2019 and April 2020.

RESULTS

Hyperglycaemia was present in 14.1% of patients. New-onset hyperglycaemia on admission (in 3.9% of patients) was related to a higher mortality rate than in patients known to have diabetes admitted with hyperglycaemia (43.3% vs 17.9%; p=0.006). Mortality at 90 days and 1 year increased with higher admission glucose levels (p=0.03 and p=0.005, respectively), severe hyperglycaemia (>20 mmol/L) having a 1-year mortality of 34.3%. After accounting for confounding variables, admission glucose and length of stay remained significant predictors of 1-year mortality (p=0.034 and p=0.003, respectively).

CONCLUSION

Hyperglycaemia is an important prognostic marker and may indicate a more severe illness. These patients should be highlighted for a greater level of care.

Evaluation of an implemented new insulin chart to improve quality and safety of diabetes care in a large university hospital: a follow-up study

OBJECTIVES

To evaluate structure, documentation, treatment quality of a new implemented standardised insulin chart in adult medical inpatient wards at a university hospital.

DESIGN

A before-after study (3 to 5 months after implementation) was used to compare the quality of old versus new insulin charts.

SETTING

University Hospital Graz, Austria.

PARTICIPANTS

Healthcare professionals (n=237) were questioned regarding structure quality of blank insulin charts.

INTERVENTIONS

A new standardised insulin chart was implemented and healthcare professionals were trained regarding features of this chart. Data from insulinised inpatients were evaluated regarding documentation and treatment quality of filled-in insulin charts (n=108 old insulin charts vs n=100 new insulin charts).

MAIN OUTCOMES AND MEASURES

The primary endpoint was documentation error for insulin administration.

RESULTS

Healthcare professionals reported an improved structure quality of the new insulin chart with a Likert type response scale increase in all nine items. Documentation errors for insulin administration (primary endpoint) occurred more often on old than new insulin charts (77% vs 5%, p<0.001). Documentation errors for insulin prescription were more frequent on old insulin charts (100% vs 42%) whereas documentation errors for insulin management rarely occurred in any group (10% vs 8%). Patients of both chart evaluation groups (age: 71±11 vs 71±12 years, 47% vs 42% women, 75% vs 87% type 2 diabetes for old vs new charts, respectively) had a mean of 4±2 good diabetes days. Overall, 26 vs 18 hypoglycaemic episodes (blood glucose (BG) <4.0 mmol/L (72 mg/dL), p=0.28), including 7 vs 2 severe hypoglycaemic episodes (BG <3.0 mmol/L (54 mg/dL), p=0.17) were documented on old versus new insulin charts.

CONCLUSIONS

The implementation of a structured documentation form together with training measures for healthcare professionals led to less documentation errors and safe management of glycaemic control in hospitalised patients in a short time follow-up. A rollout at further medical wards is recommended, and sustainability in the long-term has to be demonstrated.

Association of glucose variability at the last day of hospitalization with 30-day readmission in adults with diabetes

OBJECTIVE

To evaluate whether increased glucose variability (GV) during the last day of inpatient stay is associated with increased risk of 30-day readmission in patients with diabetes.

RESEARCH DESIGN AND METHODS

A comprehensive list of clinical, pharmacy and utilization files were obtained from the Veterans Affairs (VA) Central Data Warehouse to create a nationwide cohort including 1 042 150 admissions of patients with diabetes over a 14-year study observation period. Point-of-care glucose values during the last 24 hours of hospitalization were extracted to calculate GV (measured as SD and coefficient of variation (CV)). Admissions were divided into 10 categories defined by progressively increasing SD and CV. The primary outcome was 30-day readmission rate, adjusted for multiple covariates including demographics, comorbidities and hypoglycemia.

RESULTS

As GV increased, there was an overall increase in the 30-day readmission rate ratio. In the fully adjusted model, admissions with CV in the 5th-10th CV categories and admissions with SD in the 4th-10th categories had a statistically significant progressive increase in 30-day readmission rates, compared with admissions in the 1st (lowest) CV and SD categories. Admissions with the greatest CV and SD values (10th category) had the highest risk for readmission (rate ratio (RR): 1.08 (95% CI 1.05 to 1.10), p<0.0001 and RR: 1.11 (95% CI 1.09 to 1.14), p<0.0001 for CV and SD, respectively).

CONCLUSIONS

Patients with diabetes who exhibited higher degrees of GV on the final day of hospitalization had higher rates of 30-day readmission.

TRIAL REGISTRATION NUMBER

NCT03508934, NCT03877068.

The association between an increase in glucose levels and armed conflict-related stress: A population-based study

Studies have shown stress may lead to diabetes-related morbidities. In recent years during enhanced hostility periods, the population of Southern Israel experienced alert sirens and rocket fire on a daily basis. We investigated whether the exposure to these stressful circumstances, which peaked during three large military operations (MO), was associated with increased glucose levels among the civilian population. We included all fasting serum glucose tests taken between 2007-2014, of Clalit Health Services members in Southern Israel who had at least one fasting glucose test during an MO period and at least one test drawn at other times. We analyzed the association between MO periods and glucose using linear mixed-effects models. We included 408,706 glucose tests (10% during MO periods). Among subjects who reside in proximity to Gaza, glucose levels were 2.10% (95% CI 1.24%; 2.97%) higher in MO days compared to other times. A weaker effect was observed among subjects in more remote locations. In conclusion, we found stress to be associated with increased fasting glucose levels, especially among those who reside in locations in which the intensity of the threat is higher. Since glucose may be a marker of the population at cardiovascular risk, further studies are required.

Understanding safety differently: developing a model of resilience in the use of intravenous insulin infusions in hospital in-patients-a feasibility study protocol

BACKGROUND

Intravenous insulin infusions are considered the treatment of choice for critically ill patients and non-critically ill patients with persistent raised blood glucose who are unable to eat, to achieve optimal blood glucose levels. The benefits of using intravenous insulin infusions as well as the problems experienced are well described in the scientific literature. Traditional approaches for improving patient safety have focused on identifying errors, understanding their causes and designing solutions to prevent them. Such approaches do not take into account the complex nature of healthcare systems, which cannot be controlled solely by following standards. An emerging approach called Resilient Healthcare proposes that, to improve safety, it is necessary to focus on how work can be performed successfully as well as how work has failed.

METHODS AND ANALYSIS

The study will be conducted at Oxford University Hospitals NHS Foundation Trust and will involve three phases. Phase I: explore how work is imagined by analysing intravenous insulin infusion guidelines and conducting focus group discussions with guidelines developers, managers and healthcare practitioners. Phase II: explore the interplay between how work is imagined and how work is performed using mixed methods. Quantitative data will include blood glucose levels, insulin infusion rates, number of hypoglycaemic and hyperglycaemic events from patients' electronic records. Qualitative data will include video reflexive ethnography: video recording healthcare practitioners using intravenous insulin infusions and then conducting reflexive meetings with them to discuss selected video footage. Phase III: compare findings from phase I and phase II to develop a model for using intravenous insulin infusions.

ETHICS AND DISSEMINATION

Ethical approvals have been granted by the South Central-Oxford C Research Ethics Committee, Oxford University Hospitals NHS Foundation Trust and University of Reading. The results will be disseminated through presentations at appropriate conferences and meetings, and publications in peer-reviewed journals.

Management of hyperglycaemia in persons with non-insulin-dependent type 2 diabetes mellitus who are started on systemic glucocorticoid therapy: a systematic review

OBJECTIVES

What is the most effective pharmacological intervention for glycaemic control in known type 2 diabetes mellitus (DM) without prior insulin treatment and newly started on systemic glucocorticoid therapy?

DESIGN

We conducted a systematic literature review.

DATA SOURCES

We searched MEDLINE, Embase and Cochrane Library databases and Google for articles from 2002 to July 2018.

ELIGIBILITY CRITERIA

We combined search terms relating to DM (patients, >16 years of age), systemic glucocorticoids, glycaemic control, randomised controlled trials (RCTs) and observational studies.

DATA EXTRACTION AND SYNTHESIS

We screened and evaluated articles, extracted data and assessed risk of bias and quality of evidence according to Grading of Recommendations Assessment, Development and Evaluation guidelines.

RESULTS

Eight of 2365 articles met full eligibility criteria. Basal-bolus insulin (BBI) strategy for patients under systemic glucocorticoid therapy was comparatively effective but provided insufficient glucose control, depending on time of day. BBI strategy with long-acting insulin and neutral protamin Hagedorn as basal insulin provided similar overall glycaemic control. Addition of various insulin strategies to standard BBI delivered mixed results. Intermediate-acting insulin (IMI) as additional insulin conferred no clear benefits, and glycaemic control with sliding scale insulin was inferior to BBI or IMI. No studies addressed whether anticipatory or compensatory insulin adjustments are better for glycaemic control.

CONCLUSION

The lack of suitably designed RCTs and observational studies, heterogeneity of interventions, target glucose levels and glucose monitoring, poor control of DM subgroups and low to moderate quality of evidence render identification of optimal pharmacological interventions for glycaemic control and insulin management difficult. Even findings on the widely recommended BBI regimen as intensive insulin therapy for patients with DM on glucocorticoids are inconclusive. High-quality evidence from studies with well-defined DM phenotypes, settings and treatment approaches is needed to determine optimal pharmacological intervention for glycaemic control.

PROSPERO REGISTRATION NUMBER

CRD42015024739.

Overcoming barriers to diabetes care in the hospital: The power of qualitative observations to promote positive change

AIMS

Despite advocacy by diabetes societies and evidence about how to prevent the deleterious consequences of dysglycemia among hospitalized patients, deficits in clinical practice continue to present barriers to care. The purpose of this study was to examine inpatient rounding practices using a qualitative research lens to assess challenges on the care of hospitalized patients with diabetes and to develop ideas for positive changes in hospital management of diabetes and hyperglycemia.

METHODS

We conducted an interpretive analysis of qualitative observations during medical and surgical inpatient rounds at an academic institution. We coded, analysed, and reported data as thematic findings.

RESULTS

Emerging themes include omissions in discussions during rounds; unpreparedness to address diabetes or dysglycemia during rounds; identifying practice improvement opportunities to address diabetes issues: and recognizing accountability within the routine of practice.

CONCLUSIONS

This work guides clinicians and informs systems of practice about improvement strategies that can emerge from within hospital teams. These recommendations emphasize the interconnectedness of practice elements including thoughtful review of glucose status during rounds among patients with and without diabetes; fostering doctors and nurses to work in unison; promoting awareness and integration within and across disciplines; and advocating for better use of existing resources.

Sitagliptin for the prevention of stress hyperglycemia in patients without diabetes undergoing coronary artery bypass graft (CABG) surgery

AIMS

To determine if treatment with sitagliptin, a dipeptidyl peptidase-4 inhibitor, can prevent stress hyperglycemia in patients without diabetes undergoing coronary artery bypass graft (CABG) surgery.

METHODS

We conducted a pilot, double-blinded, placebo-controlled randomized trial in adults (18-80 years) without history of diabetes. Participants received sitagliptin or placebo once daily, starting the day prior to surgery and continued for up to 10 days. Primary outcome was differences in the frequency of stress hyperglycemia (blood glucose (BG) >180 mg/dL) after surgery among groups.

RESULTS

We randomized 32 participants to receive sitagliptin and 28 to placebo (mean age 64±10 years and HbA1c: 5.6%±0.5%). Treatment with sitagliptin resulted in lower BG levels prior to surgery (101±mg/dL vs 107±13 mg/dL, p=0.01); however, there were no differences in the mean BG concentration, proportion of patients who developed stress hyperglycemia (21% vs 22%, p>0.99), length of hospital stay, rate of perioperative complications and need for insulin therapy in the intensive care unit or during the hospital stay.

CONCLUSION

The use of sitagliptin during the perioperative period did not prevent the development of stress hyperglycemia or need for insulin therapy in patients without diabetes undergoing CABG surgery.

Measurement of Hyperglycemia and Impact on Health Outcomes in People With Cancer: Challenges and Opportunities

PROBLEM IDENTIFICATION

Poor health outcomes have been associated with hyperglycemia in patients with and without diabetes. However, the impact of hyperglycemia on the health-related outcomes of patients with cancer has shown conflicting results. The purpose of this review was to explore definitions and measurement issues related to the assessment of hyperglycemia and the subsequent impact on the findings of health-related outcomes in adults with cancer.
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LITERATURE SEARCH

Four electronic databases were searched.

DATA EVALUATION

A total of 30 articles were reviewed. Quantitative articles were synthesized using integrative review strategies. 
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SYNTHESIS

Three key gaps were identified in the literature.

CONCLUSIONS

This review highlights the inconsistencies in measuring or assessing hyperglycemia and the lack of standardized guidelines in treating hyperglycemia. Failure to have a standard approach to the measurement and management of hyperglycemia impedes the ability of healthcare providers to determine the significance of its impact on health outcomes. Further research is needed to establish appropriate measurement guidelines to address hyperglycemia in people with cancer.
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IMPLICATIONS FOR PRACTICE

Evidence-based measurement and treatment guidelines are needed to inform and assist healthcare providers with clinical decision making for people with cancer who experience hyperglycemia.

Premixed Insulin Analogue Compared with Basal-Plus Regimen for Inpatient Glycemic Control

BACKGROUND

No previous studies have investigated the use of a premixed insulin analogue in a hospital setting.

OBJECTIVE

To compare the efficacy and safety of treatment with premixed insulin analogue (insulin lispro mix 75/25, LM75/25) with the basal-plus regimen with insulin glargine in hospitalized patients with type 2 diabetes (T2D).

MATERIALS AND METHODS

A randomized clinical trial in hospitalized patients with T2D and glucose >140 mg/dL on admission was performed. A total of 54 patients were randomized to receive insulin LM75/25 or glargine. In both groups, a correction dose of lispro was administered before meals. Insulin dose was adjusted to obtain a mean blood glucose (BG) between 100 and 140 mg/dL.

RESULTS

Improvement in the mean BG after the first day of treatment was similar in both groups (P = 0.470). Glycemic control at the end of follow-up was similar between the group with insulin LM75/25 (131.3 ± 28.4 mg/dL) and insulin glargine (143.8 ± 32.5 mg/dL, P = 0.153). The aim of a BG concentration of <140 mg/dL was obtained in 72% of the patients in the premixed insulin analogue group and 56% of patients in the basal-plus group (P = 0.239). There was no difference in the frequency of hypoglycemia between groups (7 vs. 10, P = 0.529).

CONCLUSION

Results of this trial indicate that the use of a premixed insulin analogue is as effective and safe as the basal-plus regimen to achieve glycemic control.

Minimization of Hypoglycemia as an Adverse Event During Insulin Infusion: Further Refinement of the Yale Protocol

BACKGROUND

The management of hyperglycemia in the intensive care unit has been a controversial topic for more than a decade, with target ranges varying from 80-110 mg/dL to <200 mg/dL. Multiple insulin infusion protocols exist, including several computerized protocols, which have attempted to achieve these targets. Importantly, compliance with these protocols has not been a focus of clinical studies.

METHODS

GlucoCare™, a Food and Drug Administration (FDA)-cleared insulin-dosing calculator, was originally designed based on the Yale Insulin Infusion Protocol to target 100-140 mg/dL and has undergone several modifications to reduce hypoglycemia. The original Yale protocol was modified from 100-140 mg/dL to a range of 120-140 mg/dL (GlucoCare 120-140) and then to 140 mg/dL (GlucoCare 140, not a range but a single blood glucose [BG] level target) in an iterative and evidence-based manner to eliminate hypoglycemia <70 mg/dL. The final modification [GlucoCare 140(B)] includes the addition of bolus insulin "midprotocol" during an insulin infusion to reduce peak insulin rates for insulin-resistant patients. This study examined the results of these protocol modifications and evaluated the role of compliance with the protocol in the incidence of hypoglycemia <70 mg/dL.

RESULTS

Protocol modifications resulted in mean BG levels of 133.4, 136.4, 143.8, and 146.4 mg/dL and hypoglycemic BG readings <70 mg/dL of 0.998%, 0.367%, 0.256%, and 0.04% for the 100-140, 120-140, 140, and 140(B) protocols, respectively (P < 0.001). Adherence to the glucose check interval significantly reduced the incidence of hypoglycemia (P < 0.001). Protocol modifications led to a reduction in peak insulin infusion rates (P < 0.001) and the need for dextrose-containing boluses (P < 0.001).

CONCLUSION

This study demonstrates that refinements in protocol design can improve glucose control in critically ill patients and that the use of GlucoCare 140(B) can eliminate all significant hypoglycemia while achieving mean glucose levels between 140 and 150 mg/dL. In addition, attention to the timely performance of glucose levels can also reduce hypoglycemic events.

Perioperative Glycemic Control in Plastic Surgery: Review and Discussion of an Institutional Protocol

Perioperative hyperglycemia is a well-known risk factor for surgical morbidity such as wound healing, infection, and prolonged hospitalization. This association has been reported for a number of surgical subspecialties, including plastic surgery. Specialty-specific guidelines have become increasingly available in the literature. Currently, glucose management guidelines for plastic surgery are lacking. Recognizing that multiple approaches exist for perioperative glucose, protocol-based models provide the necessary structure and guidance for approaching glycemic control. In this article, we review the influence of diabetes on outcomes in plastic surgery patients and propose a practical approach to perioperative blood glucose management based on current Endocrine Society and Mayo Clinic institutional guidelines.

Mealtime Insulin Dosing by Carbohydrate Counting in Hospitalized Cardiology Patients: A Retrospective Cohort Study

BACKGROUND

Carbohydrate counting may improve glycemic control in hospitalized cardiology patients by providing individualized insulin doses tailored to meal consumption. The purpose of this study was to compare glycemic outcomes with mealtime insulin dosed by carbohydrate counting versus fixed dosing in the inpatient setting.

MATERIALS AND METHODS

This single-center retrospective cohort study included 225 adult medical cardiology patients who received mealtime, basal, and correction-scale insulin concurrently for at least 72 h and up to 7 days in the interval March 1, 2010-November 7, 2013. Mealtime insulin was dosed by carbohydrate counting or with fixed doses determined prior to meal intake. An inpatient diabetes consult service was responsible for insulin management. Exclusion criteria included receipt of an insulin infusion. The primary end point compared mean daily postprandial glucose values, whereas secondary end points included comparison of preprandial glucose values and mean daily rates of hypoglycemia.

RESULTS

Mean postprandial glucose level on Day 7 was 204 and 183 mg/dL in the carbohydrate counting and fixed mealtime dose groups, respectively (unadjusted P=0.04, adjusted P=0.12). There were no statistical differences between groups on Days 2-6. Greater rates of preprandial hypoglycemia were observed in the carbohydrate counting cohort on Day 5 (8.6% vs. 1.5%, P=0.02), Day 6 (1.7% vs. 0%, P=0.01), and Day 7 (7.1% vs. 0%, P=0.008). No differences in postprandial hypoglycemia were seen.

CONCLUSIONS

Mealtime insulin dosing by carbohydrate counting was associated with similar glycemic outcomes as fixed mealtime insulin dosing, except for a greater incidence of preprandial hypoglycemia. Additional comparative studies that include hospital outcomes are needed.

Standardized Glycemic Management with a Computerized Workflow and Decision Support System for Hospitalized Patients with Type 2 Diabetes on Different Wards

BACKGROUND

This study investigated the efficacy, safety, and usability of standardized glycemic management by a computerized decision support system for non-critically ill hospitalized patients with type 2 diabetes on four different wards.

MATERIALS AND METHODS

In this open, noncontrolled intervention study, glycemic management of 99 patients with type 2 diabetes (62% acute admissions; 41 females; age, 67±11 years; hemoglobin A1c, 65±21 mmol/mol; body mass index, 30.4±6.5 kg/m(2)) on clinical wards (Cardiology, Endocrinology, Nephrology, Plastic Surgery) of a tertiary-care hospital was guided by GlucoTab(®) (Joanneum Research GmbH [Graz, Austria] and Medical University of Graz [Graz, Austria]), a mobile decision support system providing automated workflow support and suggestions for insulin dosing to nurses and physicians.

RESULTS

Adherence to insulin dosing suggestions was high (96.5% bolus, 96.7% basal). The primary outcome measure, percentage of blood glucose (BG) measurements in the range of 70-140 mg/dL, occurred in 50.2±22.2% of all measurements. The overall mean BG level was 154±35 mg/dL. BG measurements in the ranges of 60-70 mg/dL, 40-60 mg/dL, and <40 mg/dL occurred in 1.4%, 0.5%, and 0.0% of all measurements, respectively. A regression analysis showed that acute admission to the Cardiology Ward (+30 mg/dL) and preexisting home insulin therapy (+26 mg/dL) had the strongest impact on mean BG. Acute admission to other wards had minor effects (+4 mg/dL). Ninety-one percent of the healthcare professionals felt confident with GlucoTab, and 89% believed in its practicality and 80% in its ability to prevent medication errors.

CONCLUSIONS

An efficacious, safe, and user-accepted implementation of GlucoTab was demonstrated. However, for optimized personalized patient care, further algorithm modifications are required.

Patient risk profiling in acute medicine: the way forward?

BACKGROUND

The identification of high-risk patients could form a basis for targetted intervention following an emergency medical admission.

METHODS

All emergency admissions to our institution over 12 years (2002-13) were included. An Illness Severity method based on admission laboratory parameters, previously developed between 2002 and 2007, was investigated for the 2008-13 cohort. We compared the area under the receiver operating characteristic (AUROC) to predict a 30-day in-hospital death between the original and validating cohorts using logistic multiple variable analyses. We defined six risk subgroups, based on admission laboratory data and examined the frequency of 30-day in-hospital mortality within these subgroups.

RESULTS

About 66 933 admissions were recorded in 36 271 patients. Between 2002 and 2007, the 30-day in-hospital mortality was 11.3% but between 2008 and 2013 was 6.7% (P < 0.001). This represented an absolute risk reduction (ARR) of 4.6%, a relative risk reduction (RRR) of 41.0%, and a number needed to treat of 21.6. The laboratory model was similarly predictive in both cohorts-for 2002-07, the AUROC was 0.82 (95% CI 0.81, 0.82) and for 2008-13 was 0.82 (95% CI 0.81, 0.83). Two high-risk subgroups were identified within each cohort; for 2002-07, these contained 15.0 and 30.2% of admitted patients but 95.5% of in-hospital deaths. For 2008-13, these two groups contained 15.7 and 31.0% of admitted patients but 97.0% of in-hospital deaths.

CONCLUSION

A previously described laboratory score method, based on admission biochemistry, identified patients at high risk for an in-hospital death. Risk profiling at admission is feasible for emergency medical admissions and could offer a means to outcome improvement.

Guidelines for Perioperative Management of the Diabetic Patient

Management of glycemic levels in the perioperative setting is critical, especially in diabetic patients. The effects of surgical stress and anesthesia have unique effects on blood glucose levels, which should be taken into consideration to maintain optimum glycemic control. Each stage of surgery presents unique challenges in keeping glucose levels within target range. Additionally, there are special operative conditions that require distinctive glucose management protocols. Interestingly, the literature still does not report a consensus perioperative glucose management strategy for diabetic patients. We hope to outline the most important factors required in formulating a perioperative diabetic regimen, while still allowing for specific adjustments using prudent clinical judgment. Overall, through careful glycemic management in perioperative patients, we may reduce morbidity and mortality and improve surgical outcomes.

Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System

Background. Poor inpatient glycaemic control has a prevalence exceeding 30% and results in increased length of stay and higher rates of hospital complications and inpatient mortality. The aim of this study was to improve inpatient glycaemic control by developing an alert system to process point-of-care blood glucose (POC-BG) results. Methods. Microsoft Excel Macros were developed for the processing of daily glucometry data downloaded from the Cobas IT database. Alerts were generated according to ward location for any value less than 4 mmol/L (hypoglycaemia) or greater than 15 mmol/L (moderate-severe hyperglycaemia). The Diabetes Team provided a weekday consult service for patients flagged on the daily reports. This system was implemented for a 60-day period. Results. There was a statistically significant 20% reduction in the percentage of hyperglycaemic patient-day weighted values >15 mmol/L compared to the preimplementation period without a significant change in the percentage of hypoglycaemic values. The time-to-next-reading after a dysglycaemic POC-BG result was reduced by 14% and the time-to-normalization of a dysglycaemic result was reduced from 10.2 hours to 8.4 hours. Conclusion. The alert system reduced the percentage of hyperglycaemic patient-day weighted glucose values and the time-to-normalization of blood glucose.

Breaking Therapeutic Inertia in Type 2 Diabetes: Active Detection of In-Patient Cases Allows Improvement of Metabolic Control at Midterm

Type 2 diabetes (T2D) exists in 25-40% of hospitalized patients. Therapeutic inertia is the delay in the intensification of a treatment and it is frequent in T2D. The objectives of this study were to detect patients admitted to surgical wards with hyperglycaemia (HH; fasting glycaemia > 140 mg/dL) as well as those with T2D and suboptimal chronic glycaemic control (SCGC) and to assess the midterm impact of treatment modifications indicated at discharge. A total of 412 HH patients were detected in a period of 18 months; 86.6% (357) had a diagnosed T2D. Their preadmittance HbA1c was 7.7 ± 1.5%; 47% (189) had HbA1c ≥ 7.4% (SCGC) and were moved to the upper step in the therapeutic algorithm at discharge. Another 15 subjects (3.6% of the cohort) had T2D according to their current HbA1c. Ninety-four of the 189 SCGC patients were evaluated 3-6 months later. Their HbA1c before in-hospital-intervention was 8.6 ± 1.2% and 7.5 ± 1.2% at follow-up (P < 0.004). Active detection of hyperglycaemia in patients admitted in conventional surgical beds permits the identification of T2D patients with SCGC as well as previously unknown cases. A shift to the upper step in the therapeutic algorithm at discharge improves this control. Hospitalization is an opportunity to break therapeutic inertia.

Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records

Management of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes care during hospitalization which could serve as a baseline for change. This analysis of a large clinical database (74 million unique encounters corresponding to 17 million unique patients) was undertaken to provide such an assessment and to find future directions which might lead to improvements in patient safety. Almost 70,000 inpatient diabetes encounters were identified with sufficient detail for analysis. Multivariable logistic regression was used to fit the relationship between the measurement of HbA1c and early readmission while controlling for covariates such as demographics, severity and type of the disease, and type of admission. Results show that the measurement of HbA1c was performed infrequently (18.4%) in the inpatient setting. The statistical model suggests that the relationship between the probability of readmission and the HbA1c measurement depends on the primary diagnosis. The data suggest further that the greater attention to diabetes reflected in HbA1c determination may improve patient outcomes and lower cost of inpatient care.

Understanding hypoglycemia in hospitalized patients

Controlling blood glucose in hospitalized patients is important as both hyperglycemia and hypoglycemia are associated with increased cost, length of stay, morbidity and mortality. A limiting factor in stringent control is the concern of iatrogenic hypoglycemia. The association of hypoglycemia with mortality has led to clinical guideline changes recommending more conservative glycemic control than had previously been suggested, with the use of patient specific approaches when appropriate. Healthier, stable patients may be managed with stricter control while the elderly and severely ill may be managed less aggressively. While the avoidance of hypoglycemia is essential in clinical practice, recent studies suggest that a higher mortality rate occurs in spontaneous rather than iatrogenic hypoglycemia. Therefore, inpatient hypoglycemia may be viewed more as a biomarker of disease rather than a true cause of fatality.

Outcomes of diabetic and nondiabetic patients undergoing general and vascular surgery

Aims. Preoperative diabetic and glycemic screening may or may not be cost effective. Although hyperglycemia is known to compromise surgical outcomes, the effect of a diabetic diagnosis on outcomes is poorly known. We examine the effect of diabetes on outcomes for general and vascular surgery patients. Methods. Data were collected from the Michigan Surgical Quality Collaborative for general or vascular surgery patients who had diabetes. Primary and secondary outcomes were 30-day mortality and 30-day overall morbidity, respectively. Binary logistic regression analysis was used to identify risk factors. Results. We identified 177,430 (89.9%) general surgery and 34,006 (16.1%) vascular surgery patients. Insulin and noninsulin diabetics accounted for 7.1% and 9.8%, respectively. Insulin and noninsulin dependent diabetics were not at increased risk for mortality. Diabetics are at a slight increased odds than non-diabetics for overall morbidity, and insulin dependent diabetics more so than non-insulin dependent. Ventilator dependence, 10% weight loss, emergent case, and ASA class were most predictive. Conclusions. Diabetics were not at increased risk for postoperative mortality. Insulin-dependent diabetics undergoing general or vascular surgery were at increased risk of overall 30-day morbidity. These data provide insight towards mitigating poor surgical outcomes in diabetic patients and the cost effectiveness of preoperative diabetic screening.

Diurnal temporal patterns of hypoglycaemia in hospitalized people with diabetes may reveal potentially correctable factors

AIM

To determine whether diurnal temporal variations in hypoglycaemic frequency occur in hospitalized patients.

METHODS

Hypoglycaemic events were identified in a snapshot bedside audit of capillary blood glucose results from diabetes charts of all inpatients receiving insulin or a sulphonylurea (with or without insulin) on 2 days separated by 6 weeks. Additionally, capillary blood glucose measurements were remotely captured over 2 months, in the same category of patients, and analysed for temporal patterns. Hypoglycaemia was defined as 'severe' when the capillary blood glucose was < 3.0 mmol/l and 'mild' when the capillary blood glucose was between 3.0 and 3.9 mmol/l.

RESULTS

The bedside audit found that 74% of those audited experienced a hypoglycaemia event. Eighty-three per cent of all hypoglycaemic events and 70% of severe events were recorded between 21.00 and 09.00 h. This was confirmed in the longer duration remote monitoring study where 70% of all hypoglycaemic events and 66% of severe events occurred between 21.00 and 09.00 h.

CONCLUSION

Hypoglycaemia occurs more frequently between 21.00 and 09.00 h in hospitalized patients receiving treatments that can cause hypoglycaemia. This may be related to insufficient carbohydrate intake during this period, and is potentially preventable by changes in catering practice.

Excess mortality during hospital stays among patients with recorded diabetes compared with those without diabetes

AIM

To assess the additional mortality during hospital admissions among patients with recorded diabetes and identify the extent of variation in English provider trusts.

METHODS

Inpatient admissions to all English hospitals between April 2010 and March 2012 were extracted from Hospital Episode Statistics. Binary logistic regression was used to standardize for age, sex, deprivation, method and reason for admission, co-morbidities and type of trust. Trust level standardized mortality ratios for inpatients with recorded diabetes were compared with those without recorded diabetes and with published measures of hospital mortality.

RESULTS

Of the 10 169 003 hospital admissions analysed, 11.2% had recorded diabetes, but 21.5% of inpatient deaths occurred in this group. After adjustment for case mix, hospital admissions in patients with recorded diabetes had a 6.4% greater risk of dying (2052 more deaths over 2 years) than would be expected compared with similar patients without recorded diabetes. The additional risk of death was significantly greater in smaller trusts. The highest additional risk of death was found in hospital admissions of younger female patients admitted electively. At provider trust level, 37.4% of variation in adjusted mortality in patients with recorded diabetes was explained by the mortality in those without recorded diabetes.

CONCLUSION

A diagnosis of diabetes has an adverse impact on hospital mortality that cannot be explained by usual case-mix adjustments, and the additional risk of dying is greatest among hospital admissions that would normally have a low risk of death. This implies that diabetes may override the usual risk factors for hospital mortality.

Trialogue Plus: Management of cardiovascular risk in hyperglycaemic/diabetic patients at hospital discharge

Diabetes mellitus and hyperglycaemia are both independent risk factors (RF) for cardiovascular (CV) events and increased general and CV mortality. Type 2 diabetes, which is often associated with obesity, hypertension and dyslipidaemia, is accompanied by an up to fourfold increase in the incidence of acute coronary heart disease compared to normoglycaemia, even when other CV RF are equal. In the diabetic population, acute CV events are more likely to have associated cardiac complications, such as heart failure, and CV mortality is increased by twofold–fourfold. Several patients, hospitalised in medical, cardiology and intensive care departments, have undiagnosed diabetes mellitus or elevated glucose levels at the time of admission. These conditions require intensive care in the acute phase and dedicated follow-up at discharge. The Trialogue Plus project was created with the goal of providing good clinical practice guidelines and recommendations for the management of CV risk in patients with diabetes/hyperglycaemia at discharge from hospital. The aim is developing a document that defines timing, diagnostics, targets and therapeutic strategy for the management of CV risk, both in primary and in secondary prevention of patients with diabetes/hyperglycaemia who have experienced an event, involving the Diabetologist, Cardiologist, Internist, GP and area Specialists. This document concerns the implementation of existing guidelines and consensus statements, and as such, the recommendations have not been classified on the basis of scientific evidence and strength.

Improving glycemic control in the acute care setting through nurse education

Patients with a primary or secondary diagnosis of diabetes present unique challenges during an inpatient hospital stay to treat an acute or chronic illness. Upon review of current hospital practice, an interprofessional team embarked on a performance improvement project to improve outcomes for the complex medical-surgical diabetic patient. The methods detailed herein--a comprehensive education plan, preceptorship and peer accountability, active engagement and support by the unit nursing leadership team, and interprofessional collaboration--offer strategies any organization can implement to positively impact diabetes care.

Predicting mortality of critically ill patients by blood glucose levels

BACKGROUND

The aim of this study is to observe the outcome of critically ill patients in relation to blood glucose level at admission and to determine the optimal range of blood glucose at admission predicting lower hospital mortality among critically ill patients.

METHODS

We conducted a retrospective cohort study of a total 1,224 subjects (males, 798; females, 426) admitted to intensive care unit (ICU) from 1 January 2009 to 31 December 2010. Blood glucose levels at admission were categorized into four groups (group 1, <100 mg/dL; group 2, 100 to 199 mg/dL; group 3, 200 to 299 mg/dL; and group 4, ≥300 mg/dL).

RESULTS

Among 1,224 patients, 319 patients were already known diabetics, and 296 patients died in ICU. Five hundred fifty-seven subjects received insulin therapy, and 118 received oral hypoglycemic agents. The overall mortality rate was 24.2% (296 patients). The causes of death and mortality rates of diabetic patients were not different from nondiabetic subjects. The mortality curve showed J shape, and there were significant differences in mortality between the groups of blood glucose levels at admission. Group 2 had the lowest mortality rate (P<0.05).

CONCLUSION

These results suggest that serum glucose levels upon admission into ICU is associated with clinical outcomes in ICU patients. Blood glucose level between 100 and 199 mg/dL at the time of ICU admission could predict lower hospital mortality among critically ill patients.

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.

Effect of online diabetes training for hospitalists on inpatient glycaemia

AIM

An online diabetes course for medical residents led to lower patient blood glucose, but also increased hypoglycaemia despite improved trainee confidence and knowledge. Based on these findings, we determined whether an optimized educational intervention delivered to hospitalists (corresponding to an Acute Physician or Specialist in Acute Hospital Medicine in the UK) improved inpatient glycaemia without concomitant hypoglycaemia.

METHODS

All 22 hospitalists at an academic medical centre were asked to participate in an online curriculum on the management of inpatient dysglycaemia in autumn 2009 and a refresher course in spring 2010.

RESULTS

All hospitalists completed the initial intervention. Median event blood glucose decreased from 9.3 mmol/l (168 mg/dl) pre-intervention to 7.8 mmol/l (141 mg/dl) post-intervention and 8.5 mmol/l (153 mg/dl) post-refresher (P < 0.001 for both). Hospitalizations categorized as hyperglycaemia decreased from 83.3 to 55.6% (P = 0.014), with a trend towards euglycaemia (10-28.9%, P = 0.08) and no change in hypoglycaemia. Hyperglycaemic patient-days decreased from 72.0 to 57.3% (P = 0.004), with greater target glycaemia (27.3-39.4%, P = 0.016) and no change in hypoglycaemia.

CONCLUSIONS

An optimized online educational intervention delivered to hospitalists yielded significant improvements in inpatient glycaemia without increased hypoglycaemia.

Hyperglycemia and hypoalbuminemia as prognostic mortality factors in patients with enteral feeding

OBJECTIVE

To determine the association of in-hospital mortality in patients with enteral feeding to their glycemic status (normoglycemia, new hyperglycemia, or diabetes) and their levels of serum albumin.

METHODS

This was an observational, retrospective, descriptive, and longitudinal study. The data were from patients hospitalized at Hospital de Clínicas "José de San Martín" during a 4-y period who had received enteral feeding during the hospitalization period. P < 0.05 was considered statistically significant.

RESULTS

Of the 1004 included patients, 558 (55.6%) had normoglycemia, 219 (21.8%) had known diabetes, and 227 (22.6%) had newly diagnosed hyperglycemia. The crude mortality rates during hospitalization were more pronounced for the hyperglycemic and diabetic patients. The univariate relative risks for trend were 1.34 and 1.56 for the diabetic and hyperglycemic subjects, respectively. At univariate analysis, in-hospital mortality was associated with age, known diabetes, newly diagnosed hyperglycemia, and albumin level. Hypoalbuminemia (<2.55 g/dL) also was significantly associated with mortality (univariate odds ratio ≈2.7). At multivariate analysis, in-hospital mortality was associated with age, newly diagnosed hyperglycemia, hypoalbuminemia (<2.55 g/dL), and known diabetes. No interactions between hypoalbuminemia and known diabetes or newly diagnosed hyperglycemia were detected at multivariate analysis.

CONCLUSION

The results of this study showed that newly diagnosed hyperglycemia can be considered an independent prognostic factor of in-hospital mortality in patients with enteral feeding and that there is no interaction between newly diagnosed hyperglycemia and serum albumin levels.

[Insulin therapy among inpatients]

To identify patients with known diabetes or hospital-related hyperglycemia. To establish blood glucose targets according to patient's clinical state. To draw up protocols by using basal, bolus (nutritional/prandial), and supplemental insulin and not "sliding scale insulin". To avoid hypoglycaemia particularly during intravenous insulin protocols in intensive care unit. To set up glucose monitoring with a regular training of medical staff. To perform HbA1c during hospital stay to plan the treatment after discharge. To organize follow-up of the patients with hospital-related hyperglycemia.

Intensive glycemic control after heart transplantation is safe and effective for diabetic and non-diabetic patients

Some studies have shown increased mortality, infection, and rejection rates among diabetic (DM) compared to non-diabetic (non-DM) patients undergoing heart transplant (HT). This is a retrospective chart review of adult patients (DM, n = 26; non-DM, n = 66) undergoing HT between June 1, 2005, and July 31, 2009. Glycemic control used intravenous (IV) and subcutaneous (SQ) insulin protocols with a glucose target of 80-110 mg/dL. There were no significant differences between DM and non-DM patients in mean glucose levels on the IV and SQ insulin protocols. Severe hypoglycemia (glucose <40 mg/dL) did not occur on the IV protocol and was experienced by only 3 non-DM patients on the SQ protocol. Moderate hypoglycemia (glucose >40 and <60 mg/dL) occurred in 17 (19%) patients on the IV protocol and 24 (27%) on the SQ protocol. There were no significant differences between DM and non-DM patients within 30 d of surgery in all-cause mortality, treated HT rejection episodes, reoperation, prolonged ventilation, 30-d readmissions, ICU readmission, number of ICU hours, hospitalization days after HT, or infections. This study demonstrates that DM and non-DM patients can achieve excellent glycemic control post-HT with IV and SQ insulin protocols with similar surgical outcomes and low hypoglycemia rates.