The effect of diabetes on mortality in critically ill patients: a systematic review and meta-analysis

Risk factors for intubation and mortality in patients treated with high flow nasal cannula due to COVID-19 infection. Survival Analysis Study in a Northern Mexican Population

BACKGROUND

COVID-19-related acute hypoxic respiratory failure patients often use high-flow nasal cannula (HFNO) oxygen therapy. COVID-19 HFNO intubation and mortality risk factors are understudied in the Mexican population, so the aim was to study them.

METHODS

This retrospective study searched electronic medical records from March 2020 to June 2022 for patients with COVID-19 who required hospitalization and HFNO. Descriptive statistics, a survival curve analysis, and Cox proportional hazard models were used to determine predictor factors for intubation and mortality in patients with HFNO and COVID-19, respectively.

RESULTS

A total of 134 patients received HFNO treatment. Ninety-one (67.9%) were men with a mean (SD) age of 54.5 (17.9) years. Common medical history included obesity (n = 89, 66.4%) with a Body Mass Index (BMI) mean (SD) of 31.8 (5.9), hypertension (n = 67, 50.0%), type 2 diabetes (n = 55, 41.0%), and dyslipidemias (n = 43, 32.1%). The variables associated with a greater risk of requiring intubation after high-flow therapy were age (HR = 1.018, 95% CI 1.003-1.034, p = 0.022) and BMI (HR = 1.071, 95% CI 1.024-1.120, p = 0.003). No variables were associated with lower risk. Increased mortality was associated with increasing age (HR = 1.151, 95% CI 1.102-1.201, p = <0.001), hypertension (HR = 4.092, 95% CI 1.369-12.236, p = 0.012), and dyslipidemia (HR = 3.954, 95% CI 1.395-11.209, p = 0.010). Patients with type 2 diabetes had a lower risk of mortality (HR = 0.235, 95% CI 0.080-0.688, p = 0.008).

CONCLUSIONS

A higher age and BMI were associated with an increased risk of intubation in patients with HFNO and COVID-19. Hypertension and dyslipidemias were associated with a higher risk of mortality.

Diabetes associates with mortality in critically ill patients with SARS-CoV-2 pneumonia: No diabetes paradox in COVID-19

Background

Diabetes mellitus (DM) is not associated with increased mortality in critically ill patients, a phenomenon known as the "diabetes paradox". However, DM is a risk factor for increased mortality in patients with COVID-19. This study aims to investigate the association of DM and stress-induced hyperglycemia at intensive care unit (ICU) with mortality in this population.

Methods

This is a retrospective study. Electronic medical records from patients admitted from March 2020 to September 2020 were reviewed. Primary outcome was mortality. Secondary outcomes were ICU and hospital mortality and stay, and need for mechanical ventilation and renal replacement therapy.

Results

187 patients were included. Overall mortality was 43.2%, higher in patients with DM (55.7% vs. 34%; p = 0.007), even after adjustment for age, hypertension, and disease severity. When patients were separated into groups, named normoglycemia (without DM and glycemia ≤140 mg/dL), stress-induced hyperglycemia (without DM and glycemia >140 mg/dL), and DM (previous diagnosis or HbA1c ≥ 6.5%), the mortality rate was 25.8%, 37.3%, and 55.7%, respectively (p = 0.021). Mortality was higher in patients with higher glycemic variability. No statistical difference related to secondary outcomes was observed.

Conclusions

DM, hyperglycemia, and glycemic variability associated with increased mortality in critically ill patients with severe COVID-19, but did not increase the rates of other clinical outcomes. More than stress-induced hyperglycemia, DM was associated with mortality.

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

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

Association between type II diabetes mellitus and 90-day mortality in a large multicenter prospectively collected cohort. A FROG ICU post-hoc study

PURPOSE

Factors associated with adverse outcomes in ICU patients with type II (T2DM) are poorly defined. The main goal of this study is to determine the impact of pre-existing T2DM on 90-day mortality post ICU admission.

MATERIAL

Post-hoc analysis from the FROG-ICU cohort. All patients admitted to ICU who were ventilated and/or treated by a vasoactive agent for >24 h were included. Association between T2DM and 90-day mortality was analyzed in unmatched, and populations matched by propensity score (PS) method to balance confounders recorded before ICU admission. Analysis was performed in non-imputed and imputed datasets.

RESULTS

2002 patients were included, and 16% had a history of T2DM. The latter were at inclusion more severely ill (SAPSII score 51(39-67) vs 48(35-61), p < 0.0001; Charlson score 2(1-3) vs 0(0-2), p < 0.0001). In the unmatched cohort, T2DM patients had a higher 90-day risk of death compared to no-DM patients (HR 1.35(1.1-1.65)). The 90-day risk of death was not significantly different T2DM and no T2DM patients after PS matching (HR: 0.81 (0.56-1.18). Results were similar with the analysis performed on imputed datasets (pooled HR: 0.95 (0.69-1.30)).

CONCLUSIONS

In the present study, T2DM was not associated with 90-day mortality post ICU admission.

Outcomes of Herpes Simplex Virus Pneumonitis in Critically Ill Patients

Critically ill patients, such as those in intensive care units (ICUs), can develop herpes simplex virus (HSV) pneumonitis. Given the high prevalence of acute respiratory distress syndrome (ARDS) and multiple pre-existing conditions among ICU patients with HSV pneumonitis, factors predicting mortality in this patient population require further investigation. In this retrospective study, the bronchoalveolar lavage or sputum samples of ICU patients were cultured or subjected to a polymerase chain reaction for HSV detection. Univariable and multivariable Cox regressions were conducted for mortality outcomes. The length of hospital stay was plotted against mortality on Kaplan–Meier curves. Among the 119 patients with HSV pneumonitis (age: 65.8 ± 14.9 years), the mortality rate was 61.34% (73 deaths). The mortality rate was significantly lower among patients with diabetes mellitus (odds ratio [OR] 0.12, 95% confidence interval [CI]: 0.02–0.49, p = 0.0009) and significantly higher among patients with ARDS (OR: 4.18, 95% CI: 1.05–17.97, p < 0.0001) or high (≥30) Acute Physiology and Chronic Health Evaluation II scores (OR: 1.08, 95% CI: 1.00–1.18, p = 0.02). Not having diabetes mellitus (DM), developing ARDS, and having a high Acute Physiology and Chronic Health Evaluation II (APACHE II) score were independent predictors of mortality among ICU patients with HSV pneumonitis.

Preadmission Insulin-Treated Type 2 Diabetes Mellitus Patients Had Increased Mortality in Intensive Care Units

AIM

To explore the clinical outcomes among preadmission insulin-treated type 2 diabetes mellitus (T2DM) in intensive care units (ICU).

PATIENTS AND METHODS

In this retrospective observational study, 578 T2DM patients admitted to ICU were recruited from March 2011 to February 2021, which were composed of 528 patients treated with insulin after ICU admission (including 300 preadmission non-insulin-treated and 228 preadmission insulin-treated patients) and 50 patients treated without insulin before and after ICU admission. Clinical outcomes were compared between the groups. Variables of age (± 10 years), gender, blood glucose >10 mmol/l on ICU admission, and original comorbidities were used for matching to get the 1:1 matched cohort. The Kaplan-Meier survival curves were graphed to describe the survival trend and Cox regression analysis was performed to get adjusted hazard ratio (HR).

RESULTS

Compared with the preadmission non-insulin-treated T2DM patients, preadmission insulin-treated T2DM patients had higher incidence of hypoglycemia [14.5% (33/228) vs 8.7% (26/300); p = 0.036]. In the 1:1 matched cohort, the preadmission insulin-treated T2DM patients had significantly increased mortality rate [30.0% (45/150) vs (16.0% (24/150)); adjusted HR, 1.68 (1.01-2.80)] than preadmission non-insulin-treated T2DM patients. Compared with T2DM patients treated without insulin before and after ICU admission, preadmission insulin-treated T2DM patients had higher mortality and longer length of ICU stay (all p < 0.05).

CONCLUSION

Preadmission insulin treatment was associated with increased mortality rate and longer length of ICU stay among T2DM patients in ICU. Preadmission insulin-treated T2DM patients might have worse clinical outcomes when they are critically ill.

The effect of wheat germ-enriched enteral formula on clinical and anthropometric factors in mechanically ventilated patients admitted to the intensive care unit

BACKGROUND & AIMS

Nutritional support is considered as an important therapeutic strategy among critically ill patients. To evaluate the effect of a wheat germ-enriched formula in patients admitted to the intensive care unit (ICU).

METHODS

This randomized controlled clinical trial study was conducted on 100 patients admitted to the ICU. Patients randomly received a wheat germ-enriched formula or a standard formula from the first day of admission until weaning from the ventilator. Then, the duration of mechanical ventilation, the length of ICU, hospital admission, body composition and mortality rate were compared between the two groups.

RESULTS

Based on the results, wheat germ-enriched formula caused a significant reduction in the length of mechanical ventilation (29.80 ± 21.99 days vs. 36.48 ± 8.78 days, P < 0.001), the ICU length of stay (32.92 ± 21.04 days vs. 37.70 ± 8.76, P < 0.001), and the SOFA score (4.60 ± 1.28 vs. 5.68 ± 1.25, P < 0.001) compared to the control group. However, the intervention group demonstrated a significant increase in the basal metabolic rate, mid upper arm circumference, skeletal muscle mass, body cell mass, and GCS score compared to the control group (P < 0.05). Finally, no significant difference was observed between the two groups in terms of the hospital length of stay, ICU mortality, and body fat percentage (P > 0.05).

CONCLUSION

In general, wheat germ enriched formula may exert beneficial effect on clinical and anthropomorphic variables in patients admitted to the ICU.

TRIAL REGISTRATION

The study was approved by the Ethics Committee of the Urmia University of Medical Sciences under number IR.umsu.rec.1396.88 and registered at the Iranian Registry of Clinical Trials Website as IRCT20171221037983N3.

Analysis of in-hospital mortality among people with and without diabetes in South Western Sydney public hospitals (2014-2017)

BACKGROUND

Diabetes is a major public health problem affecting about 1.4 million Australians, especially in South Western Sydney, a hotspot of diabetes with higher than average rates for hospitalisations. The current understanding of the international burden of diabetes and related complications is poor and data on hospital outcomes and/or what common factors influence mortality rate in people with and without diabetes in Australia using a representative sample is lacking. This study determined in-hospital mortality rate and the factors associated among people with and without diabetes.

METHODS

Retrospective data for 554,421 adult inpatients was extracted from the population-based New South Wales (NSW) Admitted Patient Data over 3 financial years (from 1 July 2014-30 June 2015 to 1 July 2016-30 June 2017). The in-hospital mortality per 1000 admitted persons, standardised mortality ratios (SMR) were calculated. Binary logistic regression was performed, adjusting for potential covariates and co-morbidities for people with and without diabetes over three years.

RESULTS

Over three years, 8.7% (48,038 people) of admissions involved people with diabetes. This increased from 8.4% in 2014-15 to 8.9% in 2016-17 (p = 0.007). Across all age groups, in-hospital mortality rate was significantly greater in people with diabetes (20.6, 95% Confidence intervals CI 19.3-21.9 per 1000 persons) than those without diabetes (11.8, 95%CI 11.5-12.1) and more in men than women (23.1, 95%CI 21.2-25.0 vs 17.9, 95%CI 16.2-19.8) with diabetes. The SMR for those with and without diabetes were 3.13 (95%CI 1.78-4.48) and 1.79 (95%CI 0.77-2.82), respectively. There were similarities in the factors associated with in hospital mortality in both groups including: older age (> 54 years), male sex, marital status (divorced/widowed), length of stay in hospital (staying longer than 4 days), receiving intensive care in admission and being admitted due to primary respiratory and cardiovascular diagnoses. The odds of death in admission was increased in polymorbid patients without diabetes (28.68, 95%CI 23.49-35.02) but not in those with diabetes.

CONCLUSIONS

In-patients with diabetes continue to have higher mortality rates than those without diabetes and the Australian population. Overall, similar factors influenced mortality rate in people with and without diabetes, but significantly more people with diabetes had two or more co-morbidities, suggesting that hospital mortality may be driven by those with pre-existing health/comorbidities. Urgent measures in primary care to prevent admissions among people with multiple co-morbidities are needed.

Tyrosine Kinase Inhibitors Improved Survival of Critically Ill EGFR-Mutant Lung Cancer Patients Undergoing Mechanical Ventilation

Background: Respiratory failure requiring mechanical ventilation is the major reason for lung cancer patients being admitted to the intensive care unit (ICU). Though molecular targeted therapies, especially epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs), have largely improved the survival of oncogene-driven lung cancer patients, few studies have focused on the performance of TKI in such settings. Materials and Methods: This was a retrospective cohort study enrolling non-small cell lung cancer (NSCLC) patients who harbored sensitizing EGFR mutation and had received EGFR-TKIs as first-line cancer therapy in the ICU with mechanical ventilator use. The primary outcome was the 28-day ICU survival rate, and secondary outcomes were the rate of successful weaning from the ventilator and overall survival. Results: A total of 35 patients were included. The 28-day ICU survival rate was 77%, and the median overall survival was 67 days. Multivariate logistic regression revealed that shock status was associated with a lower 28-day ICU survival rate independently (odds ratio (OR) 0.017, 95% confidence interval (CI), 0.000–0.629, p = 0.027), and that L858R mutation (L858R compared with exon 19 deletion, OR, 0.014, 95% CI 0.000–0.450, p = 0.016) and comorbidities of diabetes mellitus (DM) (OR, 0.032, 95% CI, 0.000–0.416, p = 0.014)) were independently predictive of weaning failure. The successful weaning rate was 43%, and the median of ventilator-dependent duration was 22 days (IQR, 12–29). Conclusions: For EGFR mutant lung cancer patients suffering from respiratory failure and undergoing mechanical ventilation, TKI may still be useful, especially in those with EGFR del19 mutation or without shock and DM comorbidity.

Characteristics and outcomes of diabetic patients with acute exacerbation of COPD

Rationale aims and objectives

Patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and diabetes mellitus form a special population due to an increased risk of hyperglycemia from the use of corticosteroids. There is limited data regarding specific outcomes in diabetic patients with AECOPD.

Methods

A retrospective data analysis of adult patients admitted to North Florida Division of the Hospital Corporation of America (HCA Healthcare) with a primary or secondary diagnosis of AECOPD from January 1, 2018, to December 31, 2018. We excluded patients who needed intensive care unit (ICU) care on day 0. Outcomes assessed included length of stay, mortality, and need for ICU transfer after 48 h from admission. Characteristics included age, sex, and race, comorbidities such as diabetes mellitus, chronic kidney disease, acute kidney injury, congestive heart failure, and anemia were analyzed. Comparisons were analyzed via binary and multivariate logistic regression models.

Results

A total of 3788 patients admitted for AECOPD were included; amongst them, 1356 patients (~36%) had diabetes mellitus. This subset of patients had higher rates of comorbidities. A significant portion of diabetic patients (72%) received intravenous rather than oral steroids, similar to non-diabetic patients. In addition, diabetic patients were more likely to develop acute kidney injury (14.2% vs 8.0%, p < 0.004) and decompensated heart failure (9.2% vs 4.6%, p < 0.001). Diabetic patients had higher length of stay and increased need for ICU transfer. However, diabetes itself did not independently affect length of stay (CI -0.028, 0.479, p = 0.081) when adjusted to comorbidities and patient's characteristics. Moreover, diabetes was independently associated with an increased need for transfer to ICU (Odds ratio 1.9, p = 0.031). The oral route of steroid use was associated with decreased LOS (β coefficient - 0.9, p < 0.001).

Conclusion

Diabetes mellitus is independently associated with increased ICU transfers amongst patients hospitalized with AECOPD. The use of oral steroids rather than intravenous steroids was independently associated with decreased length of stay in diabetic and non-diabetic patients. Despite no difference in intravenous vs. oral corticosteroids demonstrated in previous COPD trials, a significant portion of diabetic patients continue to receive intravenous corticosteroids. Further investigation is required to explore these findings.

Factors Associated with Survival in Patients Undergoing Invasive Mechanical Ventilation in an Intensive Care Unit in Colombia, 2017-2018: A Retrospective Cohort Study

BACKGROUND

Critically ill patients are admitted to intensive care units so they can be comprehensively managed and provided with services not covered in general hospital wards, with the aim to increase their chances of survival. These procedures include invasive mechanical ventilation.

OBJECTIVE

The aim of this study was to identify the factors associated with survival in critically ill patients who required invasive mechanical ventilation in an intensive care unit of a tertiary-level hospital in Colombia.

METHODS

This was a retrospective follow-up study of a cohort of adult patients who required invasive mechanical ventilation in an intensive care unit in San José de Buga Hospital, between 2017 and 2018. Sociodemographic, clinical, and pharmacological variables were identified. Using Cox regression, variables associated with survival and complications were identified.

RESULTS

A total of 357 patients were analyzed. The average age was 64.8 ± 18.9 years, and 52.9% were male. The most frequent diagnoses were sepsis/septic shock (38.4%) and trauma (17.4%). The main factors associated with shorter survival were advanced age (HR 0.97; 95% CI 0.96-0.99), a diagnosis of septic shock (HR 0.29; 95% CI 0.18-0.48) or diabetes mellitus at admission (HR 0.57; 95% CI 0.33-0.98), a healthcare-associated infection (HR 0.51; 95% CI 0.33-0.80), and the need for vasopressors (HR 0.36; 95% CI 0.22-0.59). The administration of systemic corticosteroids was associated with a higher probability of survival (HR 1.93; 95% CI 1.15-3.25).

CONCLUSIONS

The use of systemic corticosteroids was associated with a greater probability of survival in critically ill patients who required invasive mechanical ventilation in an intensive care unit. The identification of the variables associated with a higher risk of dying should allow care protocols to be improved, thereby extending the life expectancy of these patients.

Association of Diabetes and Admission Blood Glucose Levels with Short-Term Outcomes in Patients with Critical Illnesses

Background

Association of diabetes and admission glucose on the short-term prognosis in patients with critical illnesses are currently ambiguous. We aimed to determine whether diabetes and admission glucose affects short-term prognosis of critically ill patients.

Methods

We performed a retrospective analysis of data on 46,476 critically ill patients from the critical care database. Association of diabetes with 28-day mortality was assessed by inverse probability weighting based on the propensity score. Smoothing splines and threshold effect analysis were applied to explore the relationship between admission glucose and clinical outcomes.

Results

Of the 33,680 patients enrolled in the study, 8,701 (25.83%) had diabetes. In the main analysis, the 28-day mortality was reduced by 29% (hazard ratio (HR)=0.71, 95% confidence interval (CI) 0.67–0.76) in patients with diabetes compared to those without diabetes. The E-value of 2.17 indicated robustness to unmeasured confounders. Significant interactions were observed for glucose at ICU admission, admission type, and insulin use (Interaction P <0.05). A V-shaped relationship was observed between admission glucose and 28-day mortality in non-diabetic patients, with the lowest 28-day mortality corresponding to a glucose level of 101.75 mg/dl (95% CI 94.64–105.80 mg/dl), and admission hypoglycemia or hyperglycemia should be avoided, especially in patients admitted to the surgical intensive care unit (SICU), cardiac surgery recovery unit (CSRU), and coronary care unit (CCU); for diabetic patients, elevated admission glucose does not appear to be associated with a poor prognosis and perhaps may be beneficial except for CCU and CSRU.

Conclusion

The non-detrimental effect of diabetes on the short-term prognosis of critically ill patients was further confirmed, which would reduce 28-day mortality by approximately 29%. For non-diabetic patients, the admission glucose level corresponding to the lowest 28-day mortality was 101.75 mg/dl (95% CI 94.64–105.80 mg/dl); however, for diabetics, the appropriate admission glucose threshold remains unresolved.

Association of comorbidities with clinical outcomes in patients after acute myocardial infarction

BACKGROUND

Multimorbidity becomes more prevalent in patients admitted for acute myocardial infarction (AMI). We investigated the association of an increasing number of comorbidities with the excess risk of in-hospital mortality and other clinically outcomes in hospitalized AMI patients.

METHODS

In this population-based cohort study, we analyzed 104'906 admissions for AMI between 2012 and 2018 in Switzerland. We stratified patients based on four different age categories and investigated the association of the number of five common comorbidities (diabetes, chronic kidney-, chronic obstructive pulmonary-, cerebrovascular-, and peripheral artery disease) and risk of in-hospital mortality and other outcomes.

RESULTS

A total of 5'029 admitted AMI patients (4.8%) died during the hospital stay. We found a stepwise increase in mortality risk with each additional comorbidity. Compared to AMI patients with no comorbidity, comorbid patients had a 26% increased risk for mortality (adjusted odds ratio [OR] 1.26, 95% confidence interval [CI] 1.20 to 1.33) with a pronounced association in younger patients. The overall risk for ICU admission, prolonged length of hospital stay (LOS), and 30-day readmission was higher in comorbid patients as compared to those without a comorbidity of interest (ICU: OR 1.19, 95% CI 1.16 to 1.22; LOS: OR 1.84, 95% CI 1.79 to 1.89; Readmission: OR 1.23, 95% CI 1.19 to 1.28), respectively. Again, the association of the numbers of prevalent comorbidities with adverse outcomes was strongest in the youngest patient population.

CONCLUSIONS

In patients with AMI, the burden of comorbidities has a strong association with in-hospital mortality and other adverse outcomes - especially in younger patients.

Predictors of Acute Kidney Injury and Mortality in Intensive Care Unit at a Teaching Tertiary Hospital_ID

BACKGROUND AND AIMS

Despite the increased rates of acute kidney injury (AKI) in intensive care units (ICU) and associated mortality, information on the epidemiology of AKI is sparse in sub-Saharan Africa (SSA). We investigated the rates and predictors of AKI and associated mortality in a tertiary ICU.

MATERIALS AND METHODS

This retrospective study analyzed 280 hospital records of patients admitted to the ICU at a tertiary teaching hospital who were aged ≥15 years from January 2017 to May 31, 2018. The outcome parameters of the study were rates of AKI in the ICU, associated risk factors, and mortalities. Acute kidney injury and ICU mortality were established by the multivariate logistic analysis.

RESULTS

The median age was 36 years (IQR 28, 52). The rate of AKI was 52.9%, and the presence of human immunodeficiency virus (HIV) and oliguria was 2.3-fold (0.004) and 4-fold (0.016) positive predictors of ICU-AKI, respectively. Male gender (0.003), diabetes mellitus (DM) (0.010), respiratory disease (0.001), inotropes (0.004), and ventilator support (0.017) were predictors for ICU mortality after controlling for confounders.

CONCLUSION

The rate of AKI is significantly higher in a referral tertiary hospital in Zambia compared to developed countries and the presence of HIV and noncommunicable diseases such as DM impacts severely on outcomes.

HOW TO CITE THIS ARTICLE

Banda J, Chenga N, Nambaya S, Bulaya T, Siziya S. Predictors of Acute Kidney Injury and Mortality in Intensive Care Unit at a Teaching Tertiary Hospital_ID. Indian J Crit Care Med 2020;24(2):116-121.

Do we need to screen every patient in intensive care unit for diabetes in community with high prevalence of diabetes?

Diabetes mellitus (DM) is marked as global health care challenge with almost 10% of the United States population being diagnosed with DM. A sizeable percentage of patients are oblivious of their disease, in spite of easily accessibility knowledge about its early signs and symptoms and rapid diagnostic modalities. Critically ill patients with undiagnosed DM are likely to have an increased mortality as compared to intensive care unit (ICU) patients with diagnosed DM. DM may have adverse effect on ICU patients causing organ failure and complications. Early Screening of patients at the risk of developing disease may prevent long term complications. Early screening and management may be beneficial as controlled DM patients have similar morbidity as non DM patients in ICU. An intense glycaemic and blood pressure control improves retinopathy and albuminuria, but may not affect the macrovascular outcomes.

Dysglycemia in the critically ill patient: current evidence and future perspectives

Dysglycemia in critically ill patients (hyperglycemia, hypoglycemia, glycemic variability and time in range) is a biomarker of disease severity and is associated with higher mortality. However, this impact appears to be weakened in patients with previous diabetes mellitus, particularly in those with poor premorbid glycemic control; this phenomenon has been called "diabetes paradox". This phenomenon determines that glycated hemoglobin (HbA1c) values should be considered in choosing glycemic control protocols on admission to an intensive care unit and that patients' target blood glucose ranges should be adjusted according to their HbA1c values. Therefore, HbA1c emerges as a simple tool that allows information that has therapeutic utility and prognostic value to be obtained in the intensive care unit.

Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices

Diabetes constitutes a significant health problem that leads to many long term health issues including renal, cardiovascular, and neuropathic complications. Many of these problems can result in increased health care costs, as well risk of ICU stay and mortality. To date, no published study has used predictive modeling to examine the relative influence of diabetes, diabetic health maintenance, and comorbidities on outcomes in ICU patients. Using the MIMIC-III database, machine learning and binomial logistic regression modeling were applied to predict risk of mortality. The final models achieved good fit with AUC values of 0.787 and 0.785 respectively. Additionally, this study demonstrated that robust classification can be done as a combination of five variables (HbA1c, mean glucose during stay, diagnoses upon admission, age, and type of admission) to predict risk as compared with other machine learning models that require nearly 35 variables for similar risk assessment and prediction.

The Long and Winding Road Toward Personalized Glycemic Control in the Critically Ill

Hyperglycemia is very common in critically ill patients and interventional studies of intensive insulin therapy with the goal of returning ICU glycemia to normal levels have demonstrated mixed results. A large body of literature has demonstrated that diabetes, per se, is not independently associated with increased risk of mortality in this population and that the relationship of glucose metrics to mortality is different for patients with and without diabetes. Moreover, these relationships are confounded by preadmission glycemia; in this regard, patients with diabetes and good preadmission glucose control, as reflected by HbA1c levels obtained at the time of ICU admission, are similar to patients without diabetes. These data point the way toward an era when blood glucose targets in the ICU will be "personalized," based on assessment of preadmission glycemia.

Markedly increased incidence of critical illness in adults with Type 1 diabetes

AIMS

To compare the incidence of and mortality after intensive care unit admission in adults with paediatric-onset Type 1 diabetes vs the general population.

METHODS

Using population-based administrative data from Manitoba, Canada, we identified 814 cases of paediatric-onset Type 1 diabetes, and 3579 general population controls matched on age, sex and region of residence. We estimated the incidence of intensive care unit admission in adulthood, and compared the findings between populations using incidence rate ratios and multivariable Cox proportional hazards regression, adjusting for age, sex, comorbidity and socio-economic status. We estimated age- and sex-standardized mortality rates after intensive care unit admission.

RESULTS

Between January 2000 and October 2009, the average annual incidence of intensive care unit admission among prevalent cohorts was 910 per 100 000 in the Type 1 diabetes population, and 106 per 100 000 in matched controls, an eightfold increased risk (incidence rate ratio 8.6; 95% CI 5.5, 14.0). The adjusted risk of intensive care unit admission was elevated to a greater extent among women with Type 1 diabetes compared with matched women (hazard ratio 14.7; 95% CI 7.2, 29.4) than among men with Type 1 diabetes compared with matched men (hazard ratio 4.92; 95% CI 10.3, 2.36) The most common reasons for admission in the diabetes cohort were diabetic ketoacidosis, infection and ischaemic heart disease. At 30%, 5-year mortality was higher in the diabetes cohort than in the matched cohort (relative risk 5.7; 95% CI 1.2, 8.9).

CONCLUSIONS

Compared with the general population, the risk of intensive care unit admission was higher in adults with paediatric-onset Type 1 diabetes, and mortality after admission was also higher.

Diabetes Is Not Associated With Increased 90-Day Mortality Risk in Critically Ill Patients With Sepsis

OBJECTIVES

To determine the association of pre-existing diabetes, hyperglycemia, and hypoglycemia during the first 24 hours of ICU admissions with 90-day mortality in patients with sepsis admitted to the ICU.

DESIGN

We used mixed effects logistic regression to analyze the association of diabetes, hyperglycemia, and hypoglycemia with 90-day mortality (n = 128,222).

SETTING

All ICUs in the Netherlands between January 2009 and 2014 that participated in the Dutch National Intensive Care Evaluation registry.

PATIENTS

All unplanned ICU admissions in patients with sepsis.

INTERVENTIONS

The association between 90-day mortality and pre-existing diabetes, hyperglycemia, and hypoglycemia, corrected for other factors, was analyzed using a generalized linear mixed effect model.

MEASUREMENTS AND MAIN RESULTS

In a multivariable analysis, diabetes was not associated with increased 90-day mortality. In diabetes patients, only severe hypoglycemia in the absence of hyperglycemia was associated with increased 90-day mortality (odds ratio, 2.95; 95% CI, 1.19-7.32), whereas in patients without pre-existing diabetes, several combinations of abnormal glucose levels were associated with increased 90-day mortality.

CONCLUSIONS

In the current retrospective large database review, diabetes was not associated with adjusted 90-day mortality risk in critically ill patients admitted with sepsis.

Glucose Control, Diabetes Status, and Mortality in Critically Ill Patients: The Continuum From Intensive Care Unit Admission to Hospital Discharge

OBJECTIVE

To describe the relationships among glycemic control, diabetes mellitus (DM) status, and mortality in critically ill patients from intensive care unit (ICU) admission to hospital discharge.

PATIENTS AND METHODS

This is a retrospective investigation of 6387 ICU patients with 5 or more blood glucose (BG) tests and 4462 ICU survivors admitted to 2 academic medical centers from July 1, 2010, through December 31, 2014. We studied the relationships among mean BG level, hypoglycemia (BG level <70 mg/dL [to convert to mmol/L, multiply by 0.0555]), high glucose variability (coefficient of variation ≥20%), DM status, and mortality.

RESULTS

The ICU mortality for patients without DM with ICU mean BG levels of 80 to less than 110, 110 to less than 140, 140 to less than 180, and at least 180 mg/dL was 4.50%, 7.30%, 12.16%, and 32.82%, respectively. Floor mortality for patients without DM with these BG ranges was 2.74%, 2.64%, 7.88%, and 5.66%, respectively. The ICU and floor mean BG levels of 80 to less than 110 and 110 to less than 140 mg/dL were independently associated with reduced ICU and floor mortality compared with mean BG levels of 140 to less than 180 mg/dL in patients without DM (odds ratio [OR] [95% CI]: 0.43 (0.28-0.66), 0.62 (0.45-0.85), 0.41 (0.23-0.75), and 0.40 (0.25-0.63), respectively) but not in patients with DM. Both ICU and floor hypoglycemia and increased glucose variability were strongly associated with ICU and floor mortality in patients without DM, and less so in those with DM. The independent association of dysglycemia occurring in either setting with mortality was cumulative in patients without DM.

CONCLUSION

These findings support the importance of glucose control across the entire trajectory of hospitalization in critically ill patients and suggest that the BG target of 140 to less than 180 mg/dL is not appropriate for patients without DM. The optimal BG target for patients with DM remains uncertain.

The association of admission hyperglycaemia and adverse clinical outcome in medical emergencies: the multinational, prospective, observational TRIAGE study

AIMS

The clinical relevance of hyperglycaemia in an emergency department population remains incompletely understood. We investigated the association between admission blood glucose levels and adverse clinical outcomes in a large emergency department cohort.

METHODS

We prospectively enrolled 7132 adult medical patients seeking emergency department care in three tertiary care hospitals in Switzerland, France and the USA. We used adjusted multivariable logistic regression models to examine the association between admission blood glucose levels and 30-day mortality, as well as adverse clinical course stratified by pre-existing diabetes and principal medical diagnoses.

RESULTS

In 6044 people without diabetes (84.7%), severe hyperglycaemia, defined as a glucose level of > 11.1 mmol/l (200 mg/dl), was associated with a doubling in the risk of 30-day mortality [adjusted odds ratio (OR) 1.9; 95% confidence interval (95% CI), 1.1 to 3.3; P = 0.018] and a three-fold increase in the risk of intensive care unit admission (adjusted OR 3.0; 95% CI, 1.9 to 4.9; P < 0.001). These associations were similar among different diagnoses. In the population with diabetes (n = 1088), no association with 30-day mortality was found (adjusted OR 1.0; 95% CI, 0.6 to 1.8; P for interaction = 0.001), whereas the association with intensive care unit admission was weaker (adjusted OR 2.4; 95% CI, 1.5 to 4.1; P for interaction = 0.011). Overall 30-day mortality was higher in those with diabetes than in those without (6.1 vs. 4.4%, P = 0.015).

CONCLUSIONS

In this large medical emergency department patient cohort, admission hyperglycaemia was strongly associated with adverse clinical course in people without diabetes. (Clinical Trial Registry No: NCT01768494).

Incidence, characteristic and outcomes of ventilator-associated pneumonia among type 2 diabetes patients: An observational population-based study in Spain

BACKGROUND

To describe incidence, characteristics and outcomes of ventilator-associated pneumonia (VAP) during hospitalization among patients with or without type 2 diabetes (T2DM).

METHODS

We used the Spanish national hospital discharge database to select all hospitalization with VAP in subjects aged 40years or more from 2010 to 2014. We analyzed incidence, patient comorbidities, procedures, pneumonia pathogens and in-hospital outcomes according to diabetes status (T2DM and no-diabetes). We used propensity score analysis to estimate the effect of T2DM on in-hospital mortality RESULTS: In 7952 admissions, the patient developed a VAP (13.6% with T2DM). Adjusted incidence rate of VAP was slightly, but significantly, higher in T2DM than in non-diabetic patients (36.46[95% CI 34.41-38.51] vs. 32.57[95% CI 31.40-33.74] cases per 100,000/inhabitants). T2DM people were older and had higher Charlson comorbidity index than non-diabetic people. T2DM patients had a lower mean number of failing organs than non-diabetic patients (1.20 SD 1.17 vs. 1.45 SD 1.44, p<0.001). Pseudomonas was the most frequently isolated agent in both groups. IHM was 41.92% for T2DM patients and 37.91% for non-diabetic patients (p<0.05). Factors associated with a higher mortality in both groups included: older age, more comorbidities and primary diagnoses of vein or artery occlusion, pulmonary disease and cancer. T2DM was not associated with a higher in-hospital mortality after adjustment using a propensity score (OR 0.88; 95% CI 0.76-1.35).

CONCLUSIONS

VAP incidence rates were higher among T2DM patients. In-hospital mortality was higher among the older patients and those with more co-morbid conditions. T2DM does not predict higher mortality in VAP during hospitalization.

Higher glucose variability in type 1 than in type 2 diabetes patients admitted to the intensive care unit: A retrospective cohort study

PURPOSE

Although the course of disease of type 1 and type 2 diabetes differs, the distinction is rarely made when patients are admitted to the intensive care unit (ICU). Here, we report patient- and admission-related characteristics in relation to glycemic measures of patients with type 1 and type 2 diabetes admitted to the ICU.

MATERIALS AND METHODS

A retrospective chart review was performed of 1574 patients with diabetes admitted between 2004 and 2011 to our ICU. Glycemic measures included mean glucose, the incidence of hypoglycemia and hyperglycemia, percentage of glucose values in/below/above target, and glucose variability. The ICU and hospital mortality were secondary outcomes.

RESULTS

We classified 2% (n=27) of patients as having type 1 diabetes and 98% (n=1547) as having type 2 diabetes. Patients with type 1 diabetes were significantly younger, had a lower body mass index, and were more frequently admitted to the ICU for medical diagnoses. No differences in glycemic measures were found, apart from a 20% higher glucose variability in the type 1 diabetes group.

CONCLUSIONS

Patients with type 1 diabetes showed a higher glucose variability, but overall glycemic control was not different between patients with type 1 and type 2 diabetes. Very few diabetes patients admitted to the ICU have type 1 diabetes.

Elevated Omentin Serum Levels Predict Long-Term Survival in Critically Ill Patients

Introduction. Omentin, a recently described adipokine, was shown to be involved in the pathophysiology of inflammatory and infectious diseases. However, its role in critical illness and sepsis is currently unknown. Materials and Methods. Omentin serum concentrations were measured in 117 ICU-patients (84 with septic and 33 with nonseptic disease etiology) admitted to the medical ICU. Results were compared with 50 healthy controls. Results. Omentin serum levels of critically ill patients at admission to the ICU or after 72 hours of ICU treatment were similar compared to healthy controls. Moreover, circulating omentin levels were independent of sepsis and etiology of critical illness. Notably, serum concentrations of omentin could not be linked to concentrations of inflammatory cytokines or routinely used sepsis markers. While serum levels of omentin were not predictive for short term survival during ICU treatment, low omentin concentrations were an independent predictor of patients' overall survival. Omentin levels strongly correlated with that of other adipokines (e.g., leptin receptor or adiponectin), which have also been identified as prognostic markers in critical illness. Conclusions. Although circulating omentin levels did not differ between ICU-patients and controls, elevated omentin levels were predictive for an impaired patients' long term survival.

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.

Serum Levels of TNF Receptor Ligands Are Dysregulated in Sepsis and Predict Mortality in Critically Ill Patients

Introduction

TNF superfamily members, including TNF-related weak inducer of apoptosis (TWEAK) and Glucocorticoid-Induced TNFR-Related Protein Ligand (GITRL) have been described as serum based biomarkers for inflammatory and immune mediated diseases. However, up to now the role of TWEAK and GITRL has not been analyzed in critical illness and sepsis.

Methods

GITRL and TWEAK serum concentrations were measured in 121 critically ill patients (84 fulfilled with septic disease), in comparison to 50 healthy controls. Results were correlated with clinical data.

Results

Serum levels of TWEAK and GITRL were strongly decreased in critically ill patients compared with healthy controls. Concentrations of TWEAK (but not GITRL) were further decreased in patients with sepsis and correlated with routinely used markers of inflammation and bacterial infection such as C-reactive protein, procalcitonin and Interleukin-6. Notably, we failed to detect a correlation to other TNFR ligands such as TNF or APRIL. Finally, TWEAK levels of the upper quartile of the cohort were prognostic for mortality during ICU treatment.

Conclusion

TWEAK and GITRL levels were lower in intensive care unit medical patients. Levels of TWEAK were further decreased in septic patients, and alterations in TWEAK concentrations were linked to an unfavorable outcome. Together with recently published results on other TNFR ligands, these data indicate specific functions of the different TNFR ligands in septic diseases.

An Application of Bayesian Approach in Modeling Risk of Death in an Intensive Care Unit

Background and Objectives

There are not many studies that attempt to model intensive care unit (ICU) risk of death in developing countries, especially in South East Asia. The aim of this study was to propose and describe application of a Bayesian approach in modeling in-ICU deaths in a Malaysian ICU.

Methods

This was a prospective study in a mixed medical-surgery ICU in a multidisciplinary tertiary referral hospital in Malaysia. Data collection included variables that were defined in Acute Physiology and Chronic Health Evaluation IV (APACHE IV) model. Bayesian Markov Chain Monte Carlo (MCMC) simulation approach was applied in the development of four multivariate logistic regression predictive models for the ICU, where the main outcome measure was in-ICU mortality risk. The performance of the models were assessed through overall model fit, discrimination and calibration measures. Results from the Bayesian models were also compared against results obtained using frequentist maximum likelihood method.

Results

The study involved 1,286 consecutive ICU admissions between January 1, 2009 and June 30, 2010, of which 1,111 met the inclusion criteria. Patients who were admitted to the ICU were generally younger, predominantly male, with low co-morbidity load and mostly under mechanical ventilation. The overall in-ICU mortality rate was 18.5% and the overall mean Acute Physiology Score (APS) was 68.5. All four models exhibited good discrimination, with area under receiver operating characteristic curve (AUC) values approximately 0.8. Calibration was acceptable (Hosmer-Lemeshow p-values > 0.05) for all models, except for model M3. Model M1 was identified as the model with the best overall performance in this study.

Conclusion

Four prediction models were proposed, where the best model was chosen based on its overall performance in this study. This study has also demonstrated the promising potential of the Bayesian MCMC approach as an alternative in the analysis and modeling of in-ICU mortality outcomes.

Trends in sepsis incidence and outcomes among people with or without type 2 diabetes mellitus in Spain (2008-2012)

AIMS

There is conflicting evidence on how type 2 diabetes mellitus (T2DM) influences in-hospital mortality (IHM) in sepsis. We aimed to compare trends in outcomes for sepsis in people with or without T2DM in Spain between 2008 and 2012.

METHODS

We identified all cases with any sepsis diagnosis using national hospital discharge data. We evaluated annual incidence rates for sepsis stratified by T2DM status. We calculated IHM and analyzed trends over time. In a multivariate analysis including potential confounding factors, we tested T2DM as an independent factor for IHM.

RESULTS

Overall, 217,280 cases of any-stage sepsis were diagnosed, of whom 50,611 (23.3%) had T2DM. The annual incidence of sepsis increased during the 5-year period (from 76.5 to 113.3cases/10(5) population). The incidence increase was higher for the population with T2DM (from 16.8 to 27.1 cases/10(5) population; 61.3% relative increment). People with T2DM were significantly older (75.8 ± 11.2 years vs. 71.0 ± 16.4 years) and suffered from more coexisting medical conditions. In the univariate analysis, mortality was higher for the population with T2DM only when septic shock was present (53.3% vs. 51.9%; P=0.002). IHM decreased over time both in participants with (from 45.7% to 38.1%) and without T2DM (from 46.1% to 39.5%). After accounting for all other potential confounders, T2DM was significantly associated with a lower IHM (odds ratio=0.88; 95% confidence interval, 0.86-0.90).

CONCLUSIONS

In Spain, the annual increase in sepsis incidence was higher in people with T2DM, but the risk of dying with sepsis during admission was moderately lower in people with T2DM.

Impact of diabetes mellitus and its complications: survival and quality-of-life in critically ill patients

PURPOSE

Diabetes mellitus represents an increasing problem for patients and health care systems worldwide. We sought to investigate the effect of diabetes and its associated comorbidities on long-term survival and quality of life following an admission to a medical intensive care unit (ICU).

METHODS

A total of 6662 consecutive patients admitted to ICU between 2004 and 2009 were included (patients with diabetes n=796, non-diabetic patients n=5866). The primary endpoint of the study was death of any cause. Data on mortality was collected upon review of medical records or phone interviews. Moreover, a questionnaire was sent to 500 randomly selected patients addressing Health related Quality of Life (HrQoL) after ICU treatment.

RESULTS

Overall mortality did not differ significantly between diabetic and non-diabetic patients after ICU treatment (mean follow-up time: 490 days). For a subgroup of patients already exhibiting comorbidities associated with diabetes, the mortality rate was significantly higher (p=0.022). Regarding quality of life, no differences were found between groups.

CONCLUSIONS

Diabetes was not associated with increased mortality or reduced quality of life in a general population of medical ICU patients. However, once comorbidities associated with diabetes occurred, the survival rate of patients with comorbidities associated with hyperglycemia was significantly reduced.

The diabetes paradox: diabetes is not independently associated with mortality in critically ill patients

Intensive monitoring of blood glucose levels and treatment of hyperglycemia in critically ill patients has become a standard of care over the past decade. Although diabetes is associated with a large burden of illness in outpatients, the "diabetes paradox" suggests that in patients admitted to intensive care units, the presence of diabetes as a comorbidity is not independently associated with increased risk of mortality. This review article 1) describes prospective trial and observational cohort literature addressing this issue, 2) addresses the potential mechanisms underlying the diabetes paradox, and 3) discusses implications for patient care and future research.

Glycemic control in critically ill: A moving target

Glycemic control targets in intensive care units (ICUs) have three distinct domains. Firstly, excessive hyperglycemia needs to be avoided. The upper limit of this varies depending on the patient population studied and diabetic status of the patients. Surgical patients particularly cardiac surgery patients tend to benefit from a lower upper limit of glycemic control, which is not evident in medically ill patient. Patient with premorbid diabetic status tends to tolerate higher blood sugar level better than normoglycemics. Secondly, hypoglycemia is clearly detrimental in all groups of critically ill patient and all measures to avoid this catastrophe need to be a part of any glycemic control protocol. Thirdly, glycemic variability has increasingly been shown to be detrimental in this patient population. Glycemic control protocols need to take this into consideration and target to reduce any of the available metrics of glycemic variability. Newer technologies including continuous glucose monitoring techniques will help in titrating all these three domains within a desirable range.

Coefficient of glucose variation is independently associated with mortality in critically ill patients receiving intravenous insulin

INTRODUCTION

Both patient- and context-specific factors may explain the conflicting evidence regarding glucose control in critically ill patients. Blood glucose variability appears to correlate with mortality, but this variability may be an indicator of disease severity, rather than an independent predictor of mortality. We assessed blood glucose coefficient of variation as an independent predictor of mortality in the critically ill.

METHODS

We used eProtocol-Insulin, an electronic protocol for managing intravenous insulin with explicit rules, high clinician compliance, and reproducibility. We studied critically ill patients from eight hospitals, excluding patients with diabetic ketoacidosis and patients supported with eProtocol-insulin for < 24 hours or with < 10 glucose measurements. Our primary clinical outcome was 30-day all-cause mortality. We performed multivariable logistic regression, with covariates of age, gender, glucose coefficient of variation (standard deviation/mean), Charlson comorbidity score, acute physiology score, presence of diabetes, and occurrence of hypoglycemia < 60 mg/dL.

RESULTS

We studied 6101 critically ill adults. Coefficient of variation was independently associated with 30-day mortality (odds ratio 1.23 for every 10% increase, P < 0.001), even after adjustment for hypoglycemia, age, disease severity, and comorbidities. The association was higher in non-diabetics (OR = 1.37, P < 0.001) than in diabetics (OR 1.15, P = 0.001).

CONCLUSIONS

Blood glucose variability is associated with mortality and is independent of hypoglycemia, disease severity, and comorbidities. Future studies should evaluate blood glucose variability.

Economic Burden of Diabetes Mellitus on Patients with Respiratory Failure Requiring Mechanical Ventilation during Hospitalizations

OBJECTIVES

To examine the economic burden of diabetes mellitus (DM) on medical expenditure among patients with respiratory failure (RF) requiring mechanical ventilation during hospitalization.

METHODS

We extracted the data from Taiwan National Health Research Insurance Database for those adult patients on their first hospitalization for RF requiring mechanical ventilation between 2004 and 2010. We examined associations between medical expenditure and the presence of comorbid DM. We performed independent t tests, chi-square tests, and multivariate linear regression analysis to identify factors associated with excess medical expenditure.

RESULTS

Of 347,961 patients hospitalized with first occurrence of RF requiring mechanical ventilation, 123,023 (35.36%) patients were documented to have a previous diagnosis of DM. Patients with RF and DM were sicker and consumed more health care resources than did patients with RF without DM. After adjusting for the specified covariates, mechanically ventilated patients with RF and DM consumed at least US $618 more of total inpatient medical expenditure than did patients with RF without DM. There were statistically significant interactions between age and DM on their total inpatient medical expenditure regardless of discharge status.

CONCLUSIONS

DM was associated with more severe disease status and higher consumption of medical expenditure during hospitalizations among mechanically ventilated patients due to first occurrence of RF in Taiwan. These findings provide scientific evidence to facilitate appropriate resource allocation and formulate programs for higher quality of care in the future in Taiwan and other countries.

Risk of acute lung injury/acute respiratory distress syndrome in critically ill adult patients with pre-existing diabetes: a meta-analysis

Background

The impact of pre-existing diabetes on the development of acute lung injury/acute respiratory distress syndrome (ALI/ARDS) in critically ill patients remains unclear. We performed a meta-analysis of cohort studies to evaluate the risk of ALI/ARDS in critically ill patients with and without pre-existing diabetes.

Materials and Methods

We searched PubMed and Embase from the inception to September 2013 for cohort studies assessing the effect of pre-existing diabetes on ALI/ARDS occurrence. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated using random- or fixed-effect models when appropriate.

Results

Seven cohort studies with a total of 12,794 participants and 2,937 cases of pre-existing diabetes, and 2,457 cases of ALI/ARDS were included in the meta-analysis. A fixed-effects model meta-analysis showed that pre-existing diabetes was associated with a reduced risk of ALI/ARDS (OR 0.66; 95% CI, 0.55–0.80; p<0.001), with low heterogeneity among the studies (I² = 18.9%; p = 0.286). However, the asymmetric funnel plot and Egger's test (p = 0.007) suggested publication bias may exist.

Conclusions

Our meta-analysis suggests that pre-existing diabetes was associated with a decreased risk of ALI/ARDS in critically ill adult patients. However, the result should be interpreted with caution because of the potential bias and confounding in the included studies.

Multi-scale glycemic variability: a link to gray matter atrophy and cognitive decline in type 2 diabetes

OBJECTIVE

Type 2 diabetes mellitus (DM) accelerates brain aging and cognitive decline. Complex interactions between hyperglycemia, glycemic variability and brain aging remain unresolved. This study investigated the relationship between glycemic variability at multiple time scales, brain volumes and cognition in type 2 DM.

RESEARCH DESIGN AND METHODS

Forty-three older adults with and 26 without type 2 DM completed 72-hour continuous glucose monitoring, cognitive tests and anatomical MRI. We described a new analysis of continuous glucose monitoring, termed Multi-Scale glycemic variability (Multi-Scale GV), to examine glycemic variability at multiple time scales. Specifically, Ensemble Empirical Mode Decomposition was used to identify five unique ultradian glycemic variability cycles (GVC1-5) that modulate serum glucose with periods ranging from 0.5-12 hrs.

RESULTS

Type 2 DM subjects demonstrated greater variability in GVC3-5 (period 2.0-12 hrs) than controls (P<0.0001), during the day as well as during the night. Multi-Scale GV was related to conventional markers of glycemic variability (e.g. standard deviation and mean glycemic excursions), but demonstrated greater sensitivity and specificity to conventional markers, and was associated with worse long-term glycemic control (e.g. fasting glucose and HbA1c). Across all subjects, those with greater glycemic variability within higher frequency cycles (GVC1-3; 0.5-2.0 hrs) had less gray matter within the limbic system and temporo-parietal lobes (e.g. cingulum, insular, hippocampus), and exhibited worse cognitive performance. Specifically within those with type 2 DM, greater glycemic variability in GVC2-3 was associated with worse learning and memory scores. Greater variability in GVC5 was associated with longer DM duration and more depression. These relationships were independent of HbA1c and hypoglycemic episodes.

CONCLUSIONS

Type 2 DM is associated with dysregulation of glycemic variability over multiple scales of time. These time-scale-dependent glycemic fluctuations might contribute to brain atrophy and cognitive outcomes within this vulnerable population.

Diabetes and hemoglobin a1c as risk factors for nosocomial infections in critically ill patients

Objective. To evaluate whether diabetes mellitus (DM) and hemoglobin A1c (HbA1c) are risk factors for ventilator-associated pneumonia (VAP) and bloodstream infections (BSI) in critically ill patients. Methods. Prospective observational study; patients were recruited from the intensive care unit (ICU) of a general district hospital between 2010 and 2012.

INCLUSION CRITERIA

ICU hospitalization >72 hours and mechanical ventilation >48 hours. HbA1c was calculated for all participants. DM, HbA1c, and other clinical and laboratory parameters were assessed as risk factors for VAP or BSI in ICU. Results. The overall ICU incidence of VAP and BSI was 26% and 30%, respectively. Enteral feeding OR (95%CI) 6.20 (1.91-20.17; P = 0.002) and blood transfusion 3.33 (1.23-9.02; P = 0.018) were independent risk factors for VAP. BSI in ICU (P = 0.044) and ICU mortality (P = 0.038) were significantly increased in diabetics. Independent risk factors for BSI in ICU included BSI on admission 2.45 (1.14-5.29; P = 0.022) and stroke on admission2.77 (1.12-6.88; P = 0.029). Sepsis 3.34 (1.47-7.58; P = 0.004) and parenteral feeding 6.29 (1.59-24.83; P = 0.009) were independently associated with ICU mortality. HbA1c ≥ 8.1% presented a significant diagnostic performance in diagnosing repeated BSI in ICU. Conclusion. DM and HbA1c were not associated with increased VAP or BSI frequency. HbA1c was associated with repeated BSI episodes in the ICU.

Effect of delaying same-admission cholecystectomy on outcomes in patients with diabetes

Background

Recent studies have suggested that same-admission delayed cholecystectomy is a safe option. Patients with diabetes have been shown to have less favourable outcomes after cholecystectomy, but the impact of timing of operation for acute cholecystitis during the same admission is unknown.

Methods

This was a retrospective analysis of patients undergoing laparoscopic cholecystectomy for acute cholecystitis between 2004 and 2010, from the American College of Surgeons National Surgical Quality Improvement Program database. Patients with no significant co-morbidities (American Society of Anesthesiologists grade I or II) were included. Propensity score matching (PSM) was used to match patients with diabetes with those who did not have diabetes, in a ratio of 1 : 3, to ensure homogeneity of the two groups. Logistic regression models were applied to adjust for differences between early (within 24 h) and delayed (24 h or more) surgical treatment. The primary outcome was development of local and systemic infectious complications. Secondary outcomes were duration of operation and length of hospital stay.

Results

From a total of 2892 patients, 144 patients with diabetes were matched with 432 without diabetes by PSM. Delaying cholecystectomy for at least 24 h after admission in patients with diabetes was associated with significantly higher odds of developing surgical-site infections (adjusted odds ratio 4·11, 95 per cent confidence interval 1·11 to 15·22; P = 0·034) and a longer hospital stay. For patients with no diabetes, however, delaying cholecystectomy had no impact on complications or length of hospital stay.

Conclusion

Patients with diabetes who undergo laparoscopic cholecystectomy 24 h or more after admission may have an increased risk of postoperative surgical-site infection and a longer hospital stay than those undergoing surgery within 24 h of admission.

Alcohol screening scores and 90-day outcomes in patients with acute lung injury

OBJECTIVES

The effects of excess alcohol consumption (alcohol misuse) on outcomes in patients with acute lung injury have been inconsistent, and there are no studies examining this association in the era of low tidal volume ventilation and a fluid conservative strategy. We sought to determine whether validated scores on the Alcohol Use Disorders Identification Test that correspond to past-year abstinence (zone 1), low-risk drinking (zone 2), mild to moderate alcohol misuse (zone 3), and severe alcohol misuse (zone 4) are associated with poor outcomes in patients with acute lung injury.

DESIGN

Secondary analysis.

SETTING

The Acute Respiratory Distress Syndrome Network, a consortium of 12 university centers (44 hospitals) dedicated to the conduct of multicenter clinical trials in patients with acute lung injury.

SUBJECTS

Patients meeting consensus criteria for acute lung injury enrolled in one of three recent Acute Respiratory Distress Syndrome Network clinical trials.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 1,133 patients enrolled in one of three Acute Respiratory Distress Syndrome Network studies, 1,037 patients had an Alcohol Use Disorders Identification Test score available for analysis. Alcohol misuse was common with 70 (7%) of patients having Alcohol Use Disorders Identification Test scores in zone 3 and 129 (12%) patients in zone 4. There was a U-shaped association between validated Alcohol Use Disorders Identification Test zones and death or persistent hospitalization at 90 days (34% in zone 1, 26% in zone 2, 27% in zone 3, 36% in zone 4; p < 0.05 for comparison of zone 1 to zone 2 and zone 4 to zone 2). In a multiple logistic regression model, there was a significantly higher odds of death or persistent hospitalization in patients having Alcohol Use Disorders Identification Test zone 4 compared with those in zone 2 (adjusted odds ratio 1.70; 95% confidence interval 1.00, 2.87; p = 0.048).

CONCLUSIONS

Severe but not mild to moderate alcohol misuse is independently associated with an increased risk of death or persistent hospitalization at 90 days in acute lung injury patients.

Managing blood glucose in critically ill patients with or without diabetes

Relationships between blood glucose concentration and outcome and also the optimum management of blood glucose remain highly contentious issues for critical care practitioners. Among the many controversies is whether critically ill patients with diabetes should be treated differently from those without diabetes. Krinsley and colleagues assembled a large observational database that sheds further light on the relationships of hyperglycemia, hypoglycemia and glucose variability and risk of death in critically ill patients with and without diabetes. Defining the optimum treatment and whether this should differ by diabetic status requires high-quality primary interventional research.

Type 2 diabetes and 1-year mortality in intensive care unit patients

BACKGROUND

Data on the prognostic impact of diabetes and diabetic complications in intensive care unit (ICU) patients are limited and inconsistent. We, therefore, examined mortality in ICU patients with type 2 diabetes with and without pre-existing heart and kidney diseases compared with nondiabetic patients.

DESIGN

We conducted this population-based cohort study in Northern Denmark during 2005-2011. We included all ICU patients aged 40 years or older from the 17 ICUs in the area and identified type 2 diabetes by either a filled prescription for an antidiabetic drug, a previous diagnosis of diabetes, or an elevated glycosylated haemoglobin level. Diabetic patients were disaggregated according to pre-existing diagnoses of heart disease (myocardial infarction or heart failure) and kidney disease. We estimated 1-year mortality by the Kaplan-Meier method and hazard ratios of death (HRs) during follow-up using Cox regression, controlling for confounding factors and stratified by relevant subgroups.

RESULTS

Among 45 018 ICU patients, 7219 (16·0%) had type 2 diabetes. Overall, 1-year mortality was 36·0% in ICU patients with type 2 diabetes, rising to 54·6% in patients with pre-existing heart and kidney diseases, compared with 29·1% in nondiabetic patients. Comparing diabetic with nondiabetic patients, the adjusted 0- to 30-day HR was 1·20 (95% confidence interval (CI): 1·13-1·26) and 1·19 (95% CI: 1·10-1·28) during the 31- to 365-day follow-up period. Pre-existing kidney disease further increased the impact of diabetes, while heart disease alone had no such effect.

CONCLUSIONS

ICU patients with type 2 diabetes had higher 1-year mortality compared with nondiabetic ICU patients, particularly those with pre-existing kidney disease.

Glycemic variability in hospitalized patients: choosing metrics while awaiting the evidence

Hyperglycemia, hypoglycemia, preexisting diabetes, and glycemic variability each may affect hospital outcomes. Observational findings derived from randomized trials or retrospective studies suggest that independent of hypoglycemia and hyperglycemia, a relationship exists between variability and hospital outcomes. A review of studies conducted in diverse hospital populations is reported here, showing a relationship between measures of variability and nonglycemic outcomes, including ICU and hospital mortality and length of stay. "Glycemic variability" has an intuitive meaning, understood as a propensity of a single patient to develop repeated episodes of excursions of BG over a relatively short period of time that exceed the amplitude expected in normal physiology. It is proposed that each of 3 dimensions of variability should be separately studied: (1) magnitude of glycemic excursions during intervals of relative stability of the moving average of BG, (2) frequency with which a critical magnitude of excursion is exceeded, and (3) presence or absence of fine tuning. Multiple hospital studies have found that the standard deviation (SD) of the data set of blood glucose values (BG) of individual patients predicts outcomes. An appropriate refinement would be to report the "Reverse-transformed group mean of the SD of the logarithmically transformed BG data set of each patient," with confidence intervals. In logarithmic space, group means of the SD of BGs of each patient may be compared, using an appropriate parametric test. Upon reverse transformation, the upper and lower bounds of the confidence intervals become asymmetric about the reverse-transformed group mean of the SD. There is a need to understand what patterns of dispersion of BG over time are captured by SD as a predictor of outcomes. Among the causes of high SD, a subgroup may consist of patients having frequent oscillations of BG. Another subgroup may consist of patients experiencing a major change of overall glycemia during the timeframe of data collection. Appropriate metrics should be developed to recognize both variability in the sense of recurrent large oscillations of BG, and separately to recognize any time-dependent change of overall glycemia during hospitalization. Especially in relation to uncontrolled diabetes, there is a need to know whether rapid correction of chronic hyperglycemia adversely affects hospital outcomes. We have some understanding of how to control or prevent change of overall glycemia, and less understanding of how to control variability. Each may be associated with outcomes, and each may be detected by a high SD, but it remains uncertain whether intervention to prevent either pattern of changing glycemia would affect outcomes.