Effects of the stress hyperglycemia ratio on long-term mortality in patients with triple-vessel disease and acute coronary syndrome.

AIMS: Risk assessment for triple-vessel disease (TVD) remain challenging. Stress hyperglycemia represents the regulation of glucose metabolism in response to stress, and stress hyperglycemia ratio (SHR) is recently found to reflect true acute hyperglycemic status. This study aimed to evaluate the prognostic value of SHR and its role in risk stratification in TVD patients with acute coronary syndrome (ACS). METHODS: A total of 3812 TVD patients with ACS with available baseline SHR measurement were enrolled from two independent centers. The endpoint was cardiovascular mortality. Cox regression was used to evaluate the association between SHR and cardiovascular mortality. The SYNTAX (Synergy Between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) II (SSII) was used as the reference model in the model improvement analysis. RESULTS: During a median follow-up of 5.1 years, 219 (5.8%) TVD patients with ACS suffered cardiovascular mortality. TVD patients with ACS with high SHR had an increased risk of cardiovascular mortality after robust adjustment for confounding (high vs. median SHR: adjusted hazard ratio 1.809, 95% confidence interval 1.160-2.822, P = 0.009), which was fitted as a J-shaped pattern. The prognostic value of the SHR was found exclusively among patients with diabetes instead of those without diabetes. Moreover, addition of SHR improved the reclassification abilities of the SSII model for predicting cardiovascular mortality in TVD patients with ACS. CONCLUSIONS: The high level of SHR is associated with the long-term risk of cardiovascular mortality in TVD patients with ACS, and is confirmed to have incremental prediction value beyond standard SSII. Assessment of SHR may help to improve the risk stratification strategy in TVD patients who are under acute stress.

Impact of prolonged requirement for insulin on 90-day mortality in critically ill patients without previous diabetic treatments: a post hoc analysis of the CONTROLING randomized control trial.

BACKGROUND: Stress hyperglycemia can persist during an intensive care unit (ICU) stay and result in prolonged requirement for insulin (PRI). The impact of PRI on ICU patient outcomes is not known. We evaluated the relationship between PRI and Day 90 mortality in ICU patients without previous diabetic treatments. METHODS: This is a post hoc analysis of the CONTROLING trial, involving 12 French ICUs. Patients in the personalized glucose control arm with an ICU length of stay ≥ 5 days and who had never previously received diabetic treatments (oral drugs or insulin) were included. Personalized blood glucose targets were estimated on their preadmission usual glycemia as estimated by their glycated A1c hemoglobin (HbA1C). PRI was defined by insulin requirement. The relationship between PRI on Day 5 and 90-day mortality was assessed by Cox survival models with inverse probability of treatment weighting (IPTW). Glycemic control was defined as at least one blood glucose value below the blood glucose target value on Day 5. RESULTS: A total of 476 patients were included, of whom 62.4% were male, with a median age of 66 (54-76) years. Median values for SAPS II and HbA1C were 50 (37.5-64) and 5.7 (5.4-6.1)%, respectively. PRI was observed in 364/476 (72.5%) patients on Day 5. 90-day mortality was 23.1% in the whole cohort, 25.3% in the PRI group and 16.1% in the non-PRI group (p < 0.01). IPTW analysis showed that PRI on Day 5 was not associated with Day 90 mortality (IPTWHR = 1.22; CI 95% 0.84-1.75; p = 0.29), whereas PRI without glycemic control was associated with an increased risk of death at Day 90 (IPTWHR = 3.34; CI 95% 1.26-8.83; p < 0.01). CONCLUSION: In ICU patients without previous diabetic treatments, only PRI without glycemic control on Day 5 was associated with an increased risk of death. Additional studies are required to determine the factors contributing to these results.

Relação do risco nutricional e perfil glicêmico no desfecho de pacientes críticos / Relationship of nutritional risk and glycemic profile in the outcome of critically ill patients

Em pacientes críticos o risco nutricional e a hiperglicemia associam-se ao aumento da incidência de desfechos desfavoráveis. Objetivo: Avaliar a relação do risco nutricional pelo Nutrition Risk in Critically III, versão modificada (mNUTRIC) e perfil glicêmico nos desfechos de alta, óbito e tempo de internação de pacientes críticos e verificar o impacto das ferramentas Acute Physiology and Chronic Health Disease Classification System II (APACHE II) e do Sepsis-Related Organ Failure Assessment (SOFA) nesses desfechos. Método: Estudo longitudinal prospectivo desenvolvido em Unidade de Terapia Intensiva (UTI). Foram incluídos adultos, com tempo ≥ 48 horas de internação e com registro mínimo de duas aferições glicêmicas. Excluíram-se pacientes em cuidados paliativos, readmitidos nas UTI e gestantes. O teste Exato de Fisher e Shapiro Wilk foram utilizados para avaliar as variáveis categóricas e contínuas, respectivamente. Posteriormente, utilizou-se o teste de Mann-Whitney ou t-Student não pareado. Realizou-se análise de regressão logística e linear. O nível de significância adotado foi de 5%. Resultados: Ao avaliar 35 pacientes, 45,7% apresentaram alto risco nutricional. Foi observado associação do risco nutricional com os desfechos de alta e óbito; o SOFA associou-se ao óbito e tempo de internação. O incremento de 1 ponto no escore do SOFA aumentou a chance de óbito em 83% e tempo maior de internação em 0,49 dias. O perfil glicêmico e APACHE II não se associou aos desfechos. Conclusão: o escore SOFA foi o instrumento que apresentou associações significativas com o desfecho do óbito e maior tempo de internação de pacientes críticos

In critically ill patients, nutritional risk and hyperglycemia are associated with an increased incidence of unfavorable outcomes. Objective: To evaluate the relationship of nutritional risk by the Nutrition Risk in Critically III, modified version (mNUTRIC) and glycemic profile in the outcomes of discharge, death and length of stay in critically ill patients and to verify the impact of the Acute Physiology and Chronic Health Disease Classification System II (APACHE II) and the Sepsis-Related Organ Failure Assessment (SOFA) tools on these outcomes. Method: Prospective longitudinal study developed in an Intensive Care Unit (ICU). Adults were included, with ≥ 48 hours of hospitalization and with a minimum record of two blood glucose measurements. Patients in palliative care, readmitted to ICU and pregnant women were excluded. Fisher's Exact test and Shapiro Wilk test were used to evaluate categorical and continuous variables, respectively. Subsequently, the Mann-Whitney or unpaired t-Student test was used. Logistic and linear regression analysis was performed. The significance level adopted was 5%. Results: When evaluating 35 patients, 45.7% were at high nutritional risk. An association was observed between nutritional risk and discharge and death outcomes; SOFA was associated with death and length of hospital stay. The increment of 1 point in the SOFA score increased the chance of death by 83% and a longer hospital stay by 0.49 days. Glycemic profile and APACHE II were not associated with outcomes. Conclusion: the SOFA score was the instrument that showed significant associations with the outcome of death and longer hospital stay in critically ill patients

Profile and outcomes of patients admitted with hyperglycemic emergencies in the Buea Regional Hospital in Cameroon.

INTRODUCTION: hyperglycemic emergencies (diabetic ketoacidosis and hyperglycemic hyperosmolar state) are the most common serious acute metabolic complications of diabetes which result in significant morbidity and mortality. There is paucity of data on hyperglycemic emergencies in Cameroon. The objective of this study was to investigate the precipitants and outcomes of patients admitted for hyperglycemic emergencies in the Buea Regional Hospital in the South West Region of Cameroon. METHODS: in this retrospective study the medical records of patients admitted for hyperglycemic emergencies between 2013 and 2016 in the medical unit of the Buea Regional Hospital were reviewed. We extracted data on demographic characteristics, admission clinical characteristics, precipitants, and treatment outcomes. Logistic regression was used to determine predictors of mortality. RESULTS: data were available for 60 patients (51.7% females) admitted for hyperglycemic emergencies. The mean age was 55.2±16.3 (range 18-86). Overall there were 51 (85%) cases of hyperosmolar hyperglycemic state. Twenty six (43.3%) of the patients had hypertension. The most common precipitants of hyperglycemic emergencies were infections (41.7%), newly diagnosed diabetes (33.3%) and non-adherence to medications (33.3%). Mean admission blood glucose was 574mg/dl±70.0mg/dl. The median length of hospital stay was 6 days. Overall case fatality rate was 21.7%. Six (46.2%) deaths were related to infections. Predictors of mortality were a Glasgow coma score <13(p<0.001), a diastolic blood pressure <60 mmHg (p=0.034) and a heart rate >90(0.057) on admission. CONCLUSION: admission for hyperglycemic emergencies in this semi-urban hospital is associated with abnormally high case fatality. Infections, newly diagnosed diabetes and non-adherence to medications are the commonest precipitants of hyperglycemic emergencies. Public health measures to reduce morbidity and mortality from hyperglycemic crisis are urgently needed.

Hospital related hyperglycemia as a predictor of mortality in non-diabetes patients: A systematic review.

BACKGROUND AND AIMS: Hyperglycemia is a condition often found in hospitalized patients due to stress injury, parenteral nutrition or medications administered during hospitalization. According to previous studies, hyperglycemia could be an independent predictor of mortality. The objective of the study is to assess the risk of mortality in non-diabetic patients with hyperglycemia during hospitalization. METHODS: In this systematic review, we conducted literature reviews on several databases. Twelve studies were retrieved and critically reviewed using NOS. RESULTS: A majority of the studies reported that hospital related hyperglycemia increased the mortality rate. CONCLUSIONS: Hospital related hyperglycemia is an independent predictor factor for both in-hospital and long-term mortality.

Hyperglycaemia increases mortality risk in non-diabetic patients with COVID-19 even more than in diabetic patients.

AIM: Diabetes has been identified as a risk factor for poor outcomes in patients with COVID-19. We examined the association of hyperglycaemia, both in the presence and absence of pre-existing diabetes, with severity and outcomes in COVID-19 patients. METHODS: Data from 74,148 COVID-19-positive inpatients with at least one recorded glucose measurement during their inpatient episode were analysed for presence of pre-existing diabetes diagnosis and any glucose values in the hyperglycaemic range (>180 mg/dl). RESULTS: Among patients with and without a pre-existing diabetes diagnosis on admission, mortality was substantially higher in the presence of high glucose measurements versus all measurements in the normal range (70-180 mg/dl) in both groups (non-diabetics: 21.7% vs. 3.3%; diabetics 14.4% vs. 4.3%). When adjusting for patient age, BMI, severity on admission and oxygen saturation on admission, this increased risk of mortality persisted and varied by diabetes diagnosis. Among patients with a pre-existing diabetes diagnosis, any hyperglycaemic value during the episode was associated with a substantial increase in the odds of mortality (OR: 1.77, 95% CI: 1.52-2.07); among patients without a pre-existing diabetes diagnosis, this risk nearly doubled (OR: 3.07, 95% CI: 2.79-3.37). CONCLUSION: This retrospective analysis identified hyperglycaemia in COVID-19 patients as an independent risk factor for mortality after adjusting for the presence of diabetes and other known risk factors. This indicates that the extent of glucose control could serve as a mechanism for modifying the risk of COVID-19 morality in the inpatient environment.

Stress Hyperglycemia and Osteocalcin in COVID-19 Critically Ill Patients on Artificial Nutrition.

We aimed to study the possible association of stress hyperglycemia in COVID-19 critically ill patients with prognosis, artificial nutrition, circulating osteocalcin, and other serum markers of inflammation and compare them with non-COVID-19 patients. Fifty-two critical patients at the intensive care unit (ICU), 26 with COVID-19 and 26 non-COVID-19, were included. Glycemic control, delivery of artificial nutrition, serum osteocalcin, total and ICU stays, and mortality were recorded. Patients with COVID-19 had higher ICU stays, were on artificial nutrition for longer (p = 0.004), and needed more frequently insulin infusion therapy (p = 0.022) to control stress hyperglycemia. The need for insulin infusion therapy was associated with higher energy (p = 0.001) and glucose delivered through artificial nutrition (p = 0.040). Those patients with stress hyperglycemia showed higher ICU stays (23 ± 17 vs. 11 ± 13 days, p = 0.007). Serum osteocalcin was a good marker for hyperglycemia, as it inversely correlated with glycemia at admission in the ICU (r = -0.476, p = 0.001) and at days 2 (r = -0.409, p = 0.007) and 3 (r = -0.351, p = 0.049). In conclusion, hyperglycemia in critically ill COVID-19 patients was associated with longer ICU stays. Low circulating osteocalcin was a good marker for stress hyperglycemia.

Impact of admission hyperglycemia on short and long-term prognosis in acute myocardial infarction: MINOCA versus MIOCA.

BACKGROUND: The prognostic role of hyperglycemia in patients with myocardial infarction and obstructive coronary arteries (MIOCA) is acknowledged, while data on non-obstructive coronary arteries (MINOCA) are still lacking. Recently, we demonstrated that admission stress-hyperglycemia (aHGL) was associated with a larger infarct size and inflammatory response in MIOCA, while no differences were observed in MINOCA. We aim to investigate the impact of aHGL on short and long-term outcomes in MIOCA and MINOCA patients. METHODS: Multicenter, population-based, cohort study of the prospective registry, designed to evaluate the prognostic information of patients admitted with acute myocardial infarction to S. Orsola-Malpighi and Maggiore Hospitals of Bologna metropolitan area. Among 2704 patients enrolled from 2016 to 2020, 2431 patients were classified according to the presence of aHGL (defined as admission glucose level ≥ 140 mg/dL) and AMI phenotype (MIOCA/MINOCA): no-aHGL (n = 1321), aHGL (n = 877) in MIOCA and no-aHGL (n = 195), aHGL (n = 38) in MINOCA. Short-term outcomes included in-hospital death and arrhythmias. Long-term outcomes were all-cause and cardiovascular mortality. RESULTS: aHGL was associated with a higher in-hospital arrhythmic burden in MINOCA and MIOCA, with increased in-hospital mortality only in MIOCA. After adjusting for age, gender, hypertension, Killip class and AMI phenotypes, aHGL predicted higher in-hospital mortality in non-diabetic (HR = 4.2; 95% CI 1.9-9.5, p = 0.001) and diabetic patients (HR = 3.5, 95% CI 1.5-8.2, p = 0.003). During long-term follow-up, aHGL was associated with 2-fold increased mortality in MIOCA and a 4-fold increase in MINOCA (p = 0.032 and p = 0.016). Kaplan Meier 3-year survival of non-hyperglycemic patients was greater than in aHGL patients for both groups. No differences in survival were found between hyperglycemic MIOCA and MINOCA patients. After adjusting for age, gender, hypertension, smoking, LVEF, STEMI/NSTEMI and AMI phenotypes (MIOCA/MINOCA), aHGL predicted higher long-term mortality. CONCLUSIONS: aHGL was identified as a strong predictor of adverse short- and long-term outcomes in both MIOCA and MINOCA, regardless of diabetes. aHGL should be considered a high-risk prognostic marker in all AMI patients, independently of the underlying coronary anatomy. Trial registration data were part of the ongoing observational study AMIPE: Acute Myocardial Infarction, Prognostic and Therapeutic Evaluation. ClinicalTrials.gov Identifier: NCT03883711.

Neonatal Hyperglycemia Related to Parenteral Nutrition Affects Long-Term Neurodevelopment in Preterm Newborn: A Prospective Cohort Study.

(1) Background: Recent evidence reported a reduced tolerance of macronutrient parenteral intakes in subjects in critically ill conditions. We designed a prospective cohort study to evaluate the effects of hyperglycemia (HG) related to parenteral nutrition (PN) on neurodevelopment (NDV) in survived preterm newborns. (2) Methods: Enrolled newborns with gestational age < 32 weeks or birth weight < 1500 g, were divided in two cohorts: (A) exposed to moderate or severe HG (glucose blood level > 180 mg/dL) in the first week of life; (B) not exposed to HG. We considered as the primary outcome the rate of preterm newborns survived without NDV delay at 24 months of life, evaluated with Bayley Scales of Infants Development III edition. (3) Results: We analyzed 108 (A 32 vs. B 76) at 24 months of life. Newborns in cohort A showed a higher rate of cognitive and motor delay (A 44% vs. B 22 %, p = 0.024; A 38% vs. B 8%, p < 0.001). When adjusting for background characteristics, HG remained a risk factor for motor delay. (4) Conclusions: High nutritional intakes through PN soon after birth increase the risk of HG. The consequences of this severe metabolic complication affect long-term NDV and survival in preterm newborns.

COVID-19 in a country with a very high prevalence of diabetes: The impact of admission hyperglycaemia on mortality.

Aims: To evaluate the frequency of diabetes and admission hyperglycaemia in Mexican COVID-19 patients, to describe the clinical and biochemical characteristics of patients with admission hyperglycaemia and to determinate the impact of diabetes and admission hyperglycaemia on COVID-19 severity and mortality. Methods: A multicentric study was performed in 480 hospitalized patients with COVID-19. Clinical and biochemical characteristics were evaluated in patients with admission hyperglycaemia and compared with non-hyperglycaemic patients. The effect of diabetes and admission hyperglycaemia on severity and risk of death were evaluated. Results: Age was 50.7 ± 13.6 years; 68.3% were male. Some 48.5% (n = 233) had admission hyperglycaemia; 29% (n = 139) of these patients had pre-existing diabetes. Patients with admission hyperglycaemia had more requirement of invasive mechanical ventilation (IMV), higher levels of urea, D-dimer and neutrophil-lymphocyte ratio (NLR), as well as lower lymphocyte count. An association between admission hyperglycaemia with IMV and D-dimer with glucose was found. Age ≥50 years (OR 2.09; 95%CI 1.37-3.17), pre-existing diabetes (OR 2.38; 95%CI 1.59-5.04) and admission hyperglycaemia (OR 8.24; 95%CI 4.74-14.32) were risk factors for mortality. Conclusions: Admission hyperglycaemia is presented in 48.5% of COVID-19 patients. Diabetes and admission hyperglycaemia are associated with the severity of disease and mortality. This study shows the devastating conjunction of hyperglycaemia and COVID-19. Clinical trial registration: Clinical characteristics of patients with COVID-19, DI/20/204/04/41 (Hospital General de Mexico) and NR-13-2020 (Hospital Regional de Alta Especialidad Ixtapaluca).

Could Exogenous Insulin Ameliorate the Metabolic Dysfunction Induced by Glucocorticoids and COVID-19?

The finding that high-dose dexamethasone improves survival in those requiring critical care due to COVID-19 will mean much greater usage of glucocorticoids in the subsequent waves of coronavirus infection. Furthermore, the consistent finding of adverse outcomes from COVID-19 in individuals with obesity, hypertension and diabetes has focussed attention on the metabolic dysfunction that may arise with critical illness. The SARS coronavirus itself may promote relative insulin deficiency, ketogenesis and hyperglycaemia in susceptible individuals. In conjunction with prolonged critical care, these components will promote a catabolic state. Insulin infusion is the mainstay of therapy for treatment of hyperglycaemia in acute illness but what is the effect of insulin on the admixture of glucocorticoids and COVID-19? This article reviews the evidence for the effect of insulin on clinical outcomes and intermediary metabolism in critical illness.

Impact of poor glycemic control upon clinical outcomes after radical prostatectomy in localized prostate cancer.

To evaluate the clinical impact of preoperative glycemic status upon oncological and functional outcomes after radical prostatectomy in patients with localized prostate cancer, we analyzed the data of 2664 subjects who underwent radical prostatectomy with preoperative measurement of hemoglobin A1c within 6 months before surgery. The possible association between high hemoglobin A1c (≥ 6.5 ng/dL) and oncological/functional outcomes was evaluated. Among all subjects, 449 (16.9%) were categorized as the high hemoglobin A1c group and 2215 (83.1%) as the low hemoglobin A1c group. High hemoglobin A1c was associated with worse pathological outcomes including extra-capsular extension (HR 1.277, 95% CI 1.000-1.630, p = 0.050) and positive surgical margin (HR 1.302, 95% CI 1.012-1.674, p = 0.040) in multi-variate regression tests. Kaplan-Meier analysis showed statistically shorter biochemical recurrence-free survival in the high hemoglobin A1c group (p < 0.001), and subsequent multivariate Cox proportional analyses revealed that high hemoglobin A1c is an independent predictor for shorter BCR-free survival (HR 1.135, 95% CI 1.016-1.267, p = 0.024). Moreover, the high hemoglobin A1c group showed a significantly longer incontinence-free survival than the low hemoglobin A1c group (p = 0.001), and high preoperative hemoglobin A1c was also an independent predictor for longer incontinence-free survival in multivariate Cox analyses (HR 0.929, 95% CI 0.879-0.981, p = 0.008). The high preoperative hemoglobin A1c level was independently associated with worse oncological outcomes and also with inferior recovery of urinary continence after radical prostatectomy.

Copeptin and stress-induced hyperglycemia in critically ill patients: A prospective study.

OBJECTIVES: Copeptin, an equimolar indicator of serum antidiuretic hormone levels, has been associated with higher mortality in critically ill patients and with the development of diabetes in the general population. The aim of the present study was to investigate the association of copeptin levels with glycemic parameters in critically ill patients and to compare the time-course of copeptin in survivors and non-survivors. DESIGN: Prospective cohort study. PATIENTS: From June to October 2019, critically ill patients were prospectively enrolled and followed for 90 days. MEASUREMENTS: Plasma copeptin levels were determined at intensive care unit (ICU) admission (copeptin T1), 24 h (copeptin T2), and 48 h (copeptin T3) after study entry. Blood glucose and glycated hemoglobin levels were measured. ICU, in-hospital, and 90-day mortality, and length of stay in the ICU and hospital were evaluated. RESULTS: 104 patients were included. No significant correlation was detected between copeptin levels and blood glucose (r = -0.17, p = 0.09), HbA1c (r = 0.01, p = 0.9), glycemic gap (r = -0.16, p = 0.11), and stress hyperglycemia ratio (r = -0.14, p = 0.16). Copeptin T3 levels were significantly higher in survivors than in non-survivors at hospital discharge (561 [370-856] vs 300 [231-693] pg/mL, p = 0.015) and at 90 days (571 [380-884] vs 300 [232-698] pg/mL, p = 0.03). CONCLUSIONS: No significant correlations were found between copeptin levels and glycemic parameters, suggesting that copeptin is not a relevant factor in the induction of hyperglycemia during critical illness. Copeptin levels at ICU day 3 were higher in survivors than in non-survivors.

Association Between Longitudinal Change in Abnormal Fasting Blood Glucose Levels and Outcome of COVID-19 Patients Without Previous Diagnosis of Diabetes.

This retrospective study examined changes in fasting blood glucose (FBG) levels during hospitalization and their effect on risk of death for Coronavirus disease 2019 (COVID-19) patients without previously diagnosed diabetes. A model with low- and high-stable pattern trajectories was established based on a longitudinal change in FBG levels. We analyzed FBG trajectory-associated clinical features and risk factors for death due to COVID-19. Of the 230 enrolled patients, 44 died and 87.83% had a low-stable pattern (average FBG range: 6.63-7.54 mmol/L), and 12.17% had a high-stable pattern (average FBG range: 12.59-14.02 mmol/L). There were statistical differences in laboratory findings and case fatality between the two FBG patterns. Multivariable logistic regression analysis showed that increased neutrophil count (odds ratio [OR], 25.43; 95% confidence interval [CI]: 2.07, 313.03), elevated direct bilirubin (OR, 5.80; 95%CI: 1.72, 19.58), elevated creatinine (OR, 26.69; 95% CI: 5.82, 122.29), lymphopenia (OR, 8.07; 95% CI: 2.70, 24.14), and high-stable FBG pattern (OR, 8.79; 95% CI: 2.39, 32.29) were independent risk factors for higher case fatality in patients with COVID-19 and hyperglycemia but no history of diabetes. FBG trajectories were significantly associated with death risk in patients with COVID-19 and no diabetes.

Immunological Characteristics in Type 2 Diabetes Mellitus Among COVID-19 Patients.

Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT04365634. Context: Diabetes mellitus was associated with increased severity and mortality of disease in COVID-19 pneumonia. So far the effect of type 2 diabetes (T2DM) or hyperglycemia on the immune system among COVID-19 disease has remained unclear. Objective: We aim to explore the clinical and immunological features of type 2 diabetes mellitus (T2DM) among COVID-19 patients. Design and Methods: In this retrospective study, the clinical and immunological characteristics of 306 hospitalized confirmed COVID-19 patients (including 129 diabetic and 177 non-diabetic patients) were analyzed. The serum concentrations of laboratory parameters including cytokines and numbers of immune cells were measured and compared between diabetic and non-diabetic groups. Results: Compared with non-diabetic group, diabetic cases more frequently had lymphopenia and hyperglycemia, with higher levels of urea nitrogen, myoglobin, D-dimer and ferritin. Diabetic cases indicated the obviously elevated mortality and the higher levels of cytokines IL-2R, IL-6, IL-8, IL-10, and TNF-α, as well as the distinctly reduced Th1/Th2 cytokines ratios compared with non-diabetic cases. The longitudinal assays showed that compared to that at week 1, the levels of IL-6 and IL-8 were significantly elevated at week 2 after admission in non-survivors of diabetic cases, whereas there were greatly reductions from week 1 to week 2 in survivors of diabetic cases. Compared with survival diabetic patients, non-survival diabetic cases displayed distinct higher serum concentrations of IL-2R, IL-6, IL-8, IL-10, TNF-α, and lower Th1/Th2 cytokines ratios at week 2. Samples from a subset of participants were evaluated by flow cytometry for the immune cells. The counts of peripheral total T lymphocytes, CD4+ T cells, CD8+ T cells and NK cells were markedly lower in diabetic cases than in non-diabetic cases. The non-survivors showed the markedly declined counts of CD8+ T cells and NK cells than survivors. Conclusion: The elevated cytokines, imbalance of Th1/Th2 cytokines ratios and reduced of peripheral numbers of CD8+ T cells and NK cells might contribute to the pathogenic mechanisms of high mortality of COVID-19 patients with T2DM.

Association of hyperglycaemia with hospital mortality in nondiabetic COVID-19 patients: A cohort study.

OBJECTIVE: Diabetes is a known risk factor for mortality in Coronavirus disease 2019 (COVID-19) patients. Our objective was to identify prevalence of hyperglycaemia in COVID-19 patients with and without prior diabetes and quantify its association with COVID-19 disease course. RESEARCH DESIGN AND METHODS: This observational cohort study included all consecutive COVID-19 patients admitted to John H Stroger Jr. Hospital, Chicago, IL from March 15, 2020 to May 3, 2020 and followed till May 15, 2020. The primary outcome was hospital mortality, and the studied predictor was hyperglycaemia [any blood glucose ≥7.78 mmol/L (140 mg/dL) during hospitalization]. RESULTS: Of the 403 COVID-19 patients studied, 51 (12.7%) died; 335 (83.1%) were discharged while 17 (4%) were still in hospital. Hyperglycaemia occurred in 228 (56.6%) patients; 83 of these hyperglycaemic patients (36.4%) had no prior history of diabetes. Compared to the reference group no-diabetes/no-hyperglycaemia patients the no-diabetes/hyperglycaemia patients showed higher mortality [1.8% versus 20.5%, adjusted odds ratio 21.94 (95% confidence interval 4.04-119.0), P < 0.001]; improved prediction of death (P = 0.01) and faster progression to death (P < 0.01). Hyperglycaemia within the first 24 and 48 h was also significantly associated with mortality (odds ratio 2.15 and 3.31, respectively). CONCLUSIONS: Hyperglycaemia without prior diabetes was common (20.6% of hospitalized COVID-19 patients) and was associated with an increased risk of and faster progression to death. Development of hyperglycaemia in COVID-19 patients who do not have diabetes is an early indicator of progressive disease.

Predicting 72-h mortality in patients with extremely high random plasma glucose levels: A case-controlled cross-sectional study.

ABSTRACT: The risk factors associated with 72-hours mortality in patients with extremely high levels of random plasma glucose (RPG) remain unclear.To explore the risk factors predictive of 72-hours mortality in patients with extremely high RPG under heterogenos pathophysiological conditions.Retrospective, single-center, case-controlled cross-sectional study.University teaching hospital.Adults over age 18 were selected from the medical records of patients at the Saitama Medical Center, Japan, from 2004 to 2013.Extremely high RPG (≥500 mg/dl).Mortality at 72 hours following the RPG test, regardless of hospitalization or in an outpatient setting. Multivariate logistic regression analysis was performed with adjustment for age, sex, body mass index (BMI), and RPG level. The final prediction model was built using the logistic regression model with a higher C-statistic, specificity, and sensitivity.A total of 351 patients with RPG ≥500 mg/dl were identified within the 10-year period. The 72-hours mortality rate was 16/351 (4.6%). The C-statistics of the 72-hours mortality prediction model with serum albumin (ALB) and creatine kinase (CK) was 0.856. The probability of 72-hours mortality was calculated as follows: 1/[1 + exp (-5.142 + 0.901log (CK) -1.087 (ALB) + 0.293 (presence (1) or absence (0) of metastatic solid tumor)]. The sensitivity and specificity of this model was 75.5%.The independent risk factors associated with 72-hours mortality in patients with RPG ≥500 mg/dl are hypoalbuminemia, elevated CK, and presence of a metastatic solid tumour. Further research is needed to understand the mechanisms and possible interventions to prevent mortality associated with extremely high RPG.

The Bitter and the Sweet: Relationship of Lactate, Glucose, and Mortality After Severe Blunt Trauma.

BACKGROUND: Hyperglycemia is associated with mortality after trauma; however, few studies have simultaneously investigated the association of depth of shock and acute hyperglycemia. We evaluated lactate, as a surrogate measure for depth of shock, and glucose levels on mortality following severe blunt trauma. We hypothesize that measurements of both lactate and glucose are associated with mortality when considered simultaneously. METHODS: This is a retrospective cohort study at a single academic trauma center. Inclusion criteria are age 18-89 years, blunt trauma, injury severity score (ISS) ≥15, and transferred from the scene of injury. All serum blood glucose and lactate values were analyzed within the first 24 hours of admission. Multiple metrics of glucose and lactate were calculated: first glucose (Glucadm) and lactate (Lacadm) at hospital admission, mean 24-hour after hospital admission glucose (Gluc24-hMean) and lactate (Lac24-hMean), maximum 24-hour after hospital admission glucose (Gluc24-hMax) and lactate (Lac24-hMax), and time-weighted 24-hour after hospital admission glucose (Gluc24-hTW) and lactate (Lac24-hTW). Primary outcome was in-hospital mortality. Multivariable logistic regression modeling assessed the odds ratio (OR) of mortality, after adjusting for confounding variables. RESULTS: A total of 1439 trauma patients were included. When metrics of both glucose and lactate were analyzed, after adjusting for age, ISS, and admission shock index, only lactate remained significantly associated with mortality: Lacadm (OR, 1.28; 95% confidence interval [CI], 1.13-1.44); Lac24-hMean (OR, 1.86; 95% CI, 1.52-2.28); Lac24-hMax (OR, 1.39; 95% CI, 1.23-1.56); and Lac24-hTW (OR, 1.86; 95% CI, 1.53-2.26). CONCLUSIONS: Lactate is associated with mortality in severely injured blunt trauma patients, after adjusting for injury severity, age, and shock index. However, we did not find evidence for an association of glucose with mortality after adjusting for lactate.

Glycemic indices predict outcomes after aneurysmal subarachnoid hemorrhage: a retrospective single center comparative analysis.

Although hyperglycemia is associated with worse outcomes after aneurysmal subarachnoid hemorrhage (aSAH), there is no consensus on the optimal glucose control metric, acceptable in-hospital glucose ranges, or suitable insulin regimens in this population. In this single-center retrospective cohort study of aSAH patients, admission glucose, and hospital glucose mean (MHG), minimum (MinG), maximum (MaxG), and variability were compared. Primary endpoints (mortality, complications, and vasospasm) were assessed using multivariate logistic regressions. Of the 217 patients included, complications occurred in 83 (38.2%), 124 (57.1%) had vasospasm, and 41 (18.9%) died. MHG was independently associated with (p < 0.001) mortality, MaxG (p = 0.017) with complications, and lower MinG (p = 0.015) with vasospasm. Patients with MHG ≥ 140 mg/dL had 10 × increased odds of death [odds ratio (OR) = 10.3; 95% CI 4.6-21.5; p < 0.0001] while those with MinG ≤ 90 mg/dL had nearly 2× increased odds of vasospasm (OR = 1.8; 95% CI 1.01-3.21; p = 0.0422). While inpatient insulin was associated with increased complications and provided no mortality benefit, among those with MHG ≥ 140 mg/dL insulin therapy resulted in lower mortality (OR = 0.3; 95% CI 0.1-0.9; p = 0.0358), but no increased complication risk. While elevated MHG and MaxG are highly associated with poorer outcomes after aSAH, lower MinG is associated with increased vasospasm risk. Future trials should consider initiating insulin therapy based on MHG rather than other hyperglycemia measures.

DIAGNOSIS OF ENDOCRINE DISEASE: Post-pancreatitis diabetes mellitus: prime time for secondary disease.

While most people with diabetes have type 2 disease, a non-negligible minority develops a secondary diabetes. Post-pancreatitis diabetes mellitus (PPDM) is an exemplar secondary diabetes that represents a sequela of pancreatitis - the most common disease of the exocrine pancreas. Although this type of diabetes has been known as a clinical entity since the late 19th century, early 21st century high-quality epidemiological, clinical, and translational studies from around the world have amassed a sizeable body of knowledge that have led to a renewed understanding of PPDM. People have at least two-fold higher lifetime risk of developing diabetes after an attack of pancreatitis than those in the general population without a history of diseases of the exocrine pancreas. PPDM is caused by acute pancreatitis (including non-necrotising pancreatitis, which constitutes the majority of acute pancreatitis) in four-fifth of cases and chronic pancreatitis in one-fifth of cases. Moreover, the frequency of incident diabetes is not considerably lower after acute pancreatitis than after chronic pancreatitis. Recurrent attacks of pancreatitis and exocrine pancreatic dysfunction portend high risk for PPDM, but are not mandatory for its development. Further, young- or middle-aged non-obese men have an increased risk of developing PPDM. In comparison with type 2 diabetes, PPDM is characterised by poorer glycaemic control, higher risk of developing cancer (in particular, pancreatic cancer), younger age at death, and a higher risk of mortality. Metformin monotherapy is recommended as the first-line therapy for PPDM. Appropriate screening of individuals after an attack of pancreatitis, correct identification of PPDM, and apposite management is crucial with a view to improving the outcomes of this secondary but not inappreciable disease.