Acute kidney injury (AKI) is a frequent and severe complication in critically ill patients with acute myocardial infarction (AMI), significantly worsening prognosis. Identifying early risk markers for AKI in AMI patients is critical for timely intervention. The stress hyperglycemia ratio (SHR), a marker of acute glycemic response to physiological stress, has been proposed as a predictor of AKI, but its role remains unclear.

This study investigates the association between SHR and AKI development in critically ill patients with AMI, using data from the MIMIC-III and MIMIC-IV databases.

A total of 4,663 critically ill AMI patients were analyzed. SHR was evaluated for its association with AKI incidence using logistic regression, restricted cubic splines, and mediation analysis. Subgroup and sensitivity analyses were performed to confirm robustness. Additionally, Cox regression and Kaplan-Meier survival analysis were used to explore SHR's association with in-hospital mortality in the overall cohort and AKI subgroup.

Higher SHR levels were independently associated with an increased risk of AKI, demonstrating a J-shaped relationship. Mediation analysis revealed that neutrophil count and albumin partially mediated this effect. Kaplan-Meier survival curves showed significant differences in in-hospital mortality among SHR quartiles (log-rank p < 0.001). However, Cox regression analysis indicated that SHR was not an independent predictor of in-hospital mortality in either the full cohort or the AKI subgroup.

SHR serves as an early and independent marker for AKI risk in critically ill AMI patients, offering potential utility in clinical risk stratification. However, its role in predicting in-hospital mortality appears limited. These findings underscore the importance of glycemic monitoring and management in AMI patients at risk of AKI.

Patients in the Trauma Surgery Intensive Care Unit (TSICU) often experience severe stress responses, which may lead to the occurrence of stress hyperglycemia. The stress hyperglycemia ratio (SHR), a biomarker quantifying the relative severity of stress hyperglycemia, has garnered increasing attention. This study aims to investigate the association between SHR and poor outcomes in TSICU patients.

A retrospective cohort study was conducted based on the Medical Information Mart for Intensive Care IV database. Patients in the TSICU were stratified into tertiles based on SHR values. The primary outcomes were 30-day and 365-day all-cause mortality, and the secondary outcome was hospital mortality. Kaplan-Meier survival analysis, logistic regression, Cox proportional hazards models, and restricted cubic spline analysis were employed to examine the relationship between SHR and poor outcomes. The potential incremental value of incorporating SHR into traditional disease severity scoring systems was also explored.

A total of 569 eligible TSICU patients were included. The 30-day and 365-day all-cause mortality rates were 20.7% (118 patients) and 32.5% (185 patients), respectively. Higher SHR was associated with significantly increased risks of 30-day, 365-day, and hospital mortality (HR/OR > 1, P < 0.05). Restricted cubic spline analysis demonstrated no significant non-linear relationship between SHR and mortality risk (P > 0.05). Furthermore, SHR provided incremental prognostic value when integrated into traditional disease severity scoring systems.

High SHR is significantly associated with increased all-cause mortality in TSICU patients, particularly among non-diabetic individuals. As a prognostic marker, SHR shows potential clinical utility for early risk stratification and management optimization.

Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose elevation and fluctuations, which correlate with adverse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). However, the prognostic significance of combined SHR-GV evaluation for ASCVD mortality remains unclear. This study examines associations of SHR, GV, and their synergistic effects with mortality in patients with ASCVD across different glucose metabolic states, incorporating machine learning (ML) to identify critical risk factors influencing mortality.

Patients with ASCVD were screened in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and stratified into normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM) groups based on glucose metabolic status. The primary endpoint was 28-day mortality, with 90-day mortality as the secondary outcome. SHR and GV levels were categorized into tertiles. Associations with mortality were analyzed using Kaplan-Meier(KM) curves, Cox proportional hazards models, restricted cubic splines (RCS), receiver operating characteristic (ROC) curves, landmark analyses, and subgroup analyses. Five ML algorithms were employed for mortality risk prediction, with SHapley Additive exPlanations (SHAP) applied to identify critical predictors.

A total of 2807 patients were included, with a median age of 71 years, and 58.78% were male. Overall, 483 (23.14%) and 608 (29.13%) patients died within 28 and 90 days of ICU admission, respectively. In NGR and Pre-DM subgroups, combined SHR-GV assessment demonstrated superior predictive performance for 28-day mortality versus SHR alone [NGR: AUC 0.688 (0.636-0.739) vs. 0.623 (0.568-0.679), P = 0.028; Pre-DM: 0.712 (0.659-0.764) vs. 0.639 (0.582-0.696), P = 0.102] and GV alone [NGR: 0.688 vs. 0.578 (0.524-0.633), P < 0.001; Pre-DM: 0.712 vs. 0.593 (0.524-0.652), P < 0.001]. Consistent findings were observed for 90-day mortality prediction. However, in the DM subgroup, combined assessment improved prediction only for 90-day mortality vs. SHR alone [AUC 0.578 (0.541-0.616) vs. 0.560 (0.520-0.599), P = 0.027], without significant advantages in other comparisons.

Combined SHR and GV assessment serves as a critical prognostic tool for ASCVD mortality, providing enhanced predictive accuracy compared to individual metrics, particularly in NGR and Pre-DM patients. This integrated approach could inform personalized glycemic management strategies, potentially improving clinical outcomes.

Postoperative blood glucose levels significantly impact outcomes in cardiac surgery patients undergoing extracorporeal circulation (ECC) auxiliary to open heart surgery. While hypoglycemia and hyperglycemia are known risk factors for adverse outcomes, the optimal glycemic range for patients undergoing ECC remains unclear. This research examined the relationship between blood glucose levels and 90-day mortality in this high-risk group.

The data for this research were obtained from the Medical Information Mart for Intensive Care-IV database version 2.2(MIMIC-IV 2.2), including 4,033 patients who underwent ECC-assisted open-heart surgery. Patients were classified into quartiles based on blood glucose values measured within a 24 h period following admission to the ICU. The study's primary outcome was the 90-day mortality, and the duration of hospital and ICU stays were considered secondary outcomes. Kaplan-Meier survival analysis, Multivariate Cox regression models, smooth curve fitting, Restricted Cubic Spline (RCS) curve, and subgroup analyses were conducted to evaluate the relationship between blood glucose levels and patient outcomes.

Higher blood glucose levels were significantly related to increased 90-day mortality. The analysis revealed the nonlinear relation between blood glucose and 90 days mortality, with an inflection point at 119 mg/dl (P < 0.05). Patients with blood glucose levels above this threshold had a markedly higher risk of mortality. Additionally, elevated blood glucose was associated with prolonged hospitalization and ICU stays.

Elevated postoperative blood glucose values were related to an increased 90-day mortality in patients who underwent ECC. When blood glucose levels exceeded 119 mg/dl, blood glucose levels were positively associated with 90-day postoperative mortality.

This study aimed to evaluate the relationship between time in targeted blood glucose range (TIR) and 28-day mortality in critically ill patients.

A retrospective cohort analysis was conducted using data from the MIMIC-IV database. Patients (n = 18,905) were stratified into four quartiles based on TIR values. The association between TIR and mortality was assessed using multivariable logistic regression models with adjustments for potential confounders.

In the fully adjusted model, each percentage point increase in TIR was associated with a 1 % reduction in 28-day mortality risk (OR = 0.99, 95 % CI: 0.98-0.99, P < 0.001). Patients in the highest TIR quartile showed a 60 % lower mortality risk compared to those in the lowest quartile (OR = 0.40, 95 % CI: 0.22-0.74, P = 0.003). The predictive model demonstrated good discriminative ability (AUC = 0.7543).

Time in targeted blood glucose range is independently associated with 28-day mortality in ICU patients, suggesting its potential value as a metric for risk stratification and glycemic management optimization.

Objective: Dysglycemia is associated with poor outcomes; the actual status of dysglycemia of critically ill patients with diabetes should refer to background glycemia. We investigated the effect of difference between mean blood glucose and basic blood glucose upon outcomes. Methods: Glycated hemoglobin A1c (HbA1c) was detected within the first 24 h and converted to A1C-derived average glucose (ADAG) by the equation ADAG = [(HbA1c∗28.7) - 46.7]∗18-1; blood glucose measurements were fourth per day during the first 7 days after admission; the mean blood glucose level (Mean), standard deviation (SD), and coefficient of variation (CV) were calculated. GAP were calculated as admission blood glucose and Mean minus ADAG, respectively. Results: Six hundred forty-nine patients were recruited and 428 survived at 28 days; 302 patients with diabetes had greater ADAG, blood glucose at admission (BGadm), Mean, SD, CV, GAP, and hypoglycemia incidences. The GAP between Mean and ADAG had superior predictive power, which was decreased in patients with diabetes and increased in patients without diabetes. GAP7 was related to 28-day mortality; the death risk was decreased in patients with diabetes. Patients with lower GAP tended to survive. Nonsurvivors with diabetes suffered higher rate of hypoglycemia than survivors which was the opposite in patients without diabetes. Conclusion: The glycemic GAP between the mean level of blood glucose within the first 7 days in ICU and ADAG was independently associated with 28-day mortality of critically ill patients, which was different between patients with and without diabetes. Hypoglycemia in patients with diabetes should be a concern.

Introduction: Glycemia is an important factor among critically ill patients in the intensive care unit (ICU). There is conflicting evidence on the preferred strategy of blood glucose control among patients with diabetes in the ICU. We aimed to conduct a meta-analysis comparing tight with liberal blood glucose in critically ill patients with diabetes in the ICU. Methods: We systematically searched PubMed, Embase, and Cochrane Central for randomized controlled trials (RCTs) comparing tight versus liberal blood glucose control in critically ill patients with diabetes from inception to December 2023. We pooled odds-ratios (OR) and 95% confidence intervals (CI) with a random-effects model for binary endpoints. We used the Review Manager 5.17 and R version 4.3.2 for statistical analyses. Risk of bias assessment was performed with the Cochrane tool for randomized trials (RoB2). Results: Eight RCTs with 4474 patients were included. There was no statistically significant difference in all-cause mortality (OR 1.11; 95% CI 0.95-1.28; P = .18; I² = 0%) between a tight and liberal blood glucose control. RoB2 identified all studies at low risk of bias and funnel plot suggested no evidence of publication bias. Conclusion: In patients with diabetes in the ICU, there was no statistically significant difference in all-cause mortality between a tight and liberal blood glucose control. PROSPERO registration: CRD42023485032.

Critically ill patients in the intensive care unit (ICU) often experience dysglycaemia. However, studies investigating the link between acute kidney injury (AKI) and dysglycaemia, especially in those with and without diabetes mellitus (DM), are limited.

We used the Medical Information Mart for Intensive Care IV database to investigate the association between AKI within 7 days of admission and subsequent dysglycaemia. The primary outcome was the occurrence of dysglycaemia (both hypoglycemia and hyperglycemia) after 7 days of ICU admission. Logistic regression analyzed the relationship between AKI and dysglycaemia, while a Cox proportional hazards model estimated the long-term mortality risk linked to the AKI combined with dysglycaemia.

A cohort of 20,008 critically ill patients were included. The AKI group demonstrated a higher prevalence of dysglycaemia, compared to the non-AKI group. AKI patients had an increased risk of dysglycaemia (adjusted odds ratio [aOR] 1.53, 95% confidence interval [CI] 1.41-1.65), hypoglycemia (aOR 1.56, 95% CI 1.41-1.73), and hyperglycemia (aOR 1.53, 95% CI 1.41-1.66). In subgroup analysis, compared to DM patients, AKI showed higher risk of dysglycaemia in non-DM patients (aOR: 1.93 vs. 1.33, Pint<0.01). Additionally, the AKI with dysglycaemia group exhibited a higher risk of long-term mortality compared to the non-AKI without dysglycaemia group. Dysglycaemia also mediated the relationship between AKI and long-term mortality.

AKI was associated with a higher risk of dysglycaemia, especially in non-DM patients, and the combination of AKI and dysglycaemia was linked to higher long-term mortality. Further research is needed to develop optimal glycemic control strategies for AKI patients.

Candida albicans is an opportunist pathogen responsible for a broad spectrum of infections, from superficial mycosis to the systemic disease candidiasis. C. albicans has various morphological forms, including unicellular budding yeasts, filamentous pseudohyphae and true hyphae, and the ability to switch from yeast to hyphal forms is a key survival mechanism underlying the adaptation of the pathogen to the microenvironments encountered within the host. Filamentation is regulated by multiple signalling pathways and its induction in different growth media in vitro has often led to conflicting results. In this study, we performed quantitative proteomic analyses to compare the response of C. albicans yeast cells grown in YNB minimal medium to those of cells grown in four media widely used in the literature to induce the yeast-to-hyphae transition: YNB-Serum, YNB-N-acetylglucosamine (YNB-NAG), Lee medium and rich Spider medium. We show that each growth medium induces a unique pattern of response in C. albicans cells, and that some conditions trigger an original and specific adaptive metabolic response, showing significant differences in the intracellular content of the various filamentous forms. Moreover, this comparison of proteomic profiles indicates that the medium used can modify the thiol-dependent redox status of the cells, particularly in YNB-Serum and Lee medium and, to a lesser extent, in Spider medium, confirming the role of oxidative stress in the filamentation process. Overall, our data indicate that some of the media routinely used to induce hyphae cause significant changes in proteomic signature that should be taken account more carefully when exploring the hyphal transition in this pathogen.

The study aimed to investigate the interaction of intraoperative stress hyperglycemia with monocyte functions and their impact on major adverse events (MAEs) in acute aortic dissection (AAD) patients who underwent open repair surgery.

A total of 321 adults who underwent open surgery for AAD at two tertiary medical centers in China were enrolled in the study. The primary endpoint was defined as the incidence and characteristics of perioperative stress hyperglycemia. The secondary endpoints included the incidence of postoperative MAEs, postoperative monocyte counts and inflammatory cytokine expression. Multi-logistic, linear regression and receiver operating characteristic (ROC) curve analyses were used to establish relationships between intraoperative time-weighted average glucose (TWAG), day-one postoperative monocyte counts, serum inflammatory cytokines and postoperative outcomes. In addition, in vitro experiments were conducted to evaluate changes in the inflammatory features of monocytes under high glucose conditions.

Intraoperative hyperglycemia, as indicated by a TWAG level over 142 mg/dL, was associated with elevated postoperative monocyte counts and inflammatory cytokines, which correlated with extended intensive care unit (ICU) stays and worsened outcomes. In vitro, high glucose treatment induced mitochondrial impairment in monocytes, increased the release of inflammatory cytokines and the proportion of classical monocytes from AAD patients.

Intraoperative stress hyperglycemia, in combination with day-one postoperative monocyte counts, were clinically significant for predicting adverse outcomes in AAD patients undergoing open repair surgery. Elevated glucose concentrations shaped the inflammatory features of monocytes in AAD by impairing mitochondrial functions.

This study endeavors to explore the ramifications of early dynamic blood glucose (BG) trajectories within the initial 48 h of intensive care unit (ICU) admission on mortality among critically ill heart failure (HF) patients.

The study employed a retrospective observational design, analyzing dynamic BG data of HF patients from the Medical Information Mart for Intensive Care IV database. The BG trajectory subphenotypes were identified using the hierarchical clustering based on the dynamic time-warping algorithm. The primary outcome of the study was 28-day mortality, with secondary outcomes including 180-day and 1-year mortality.

We screened a total of 21,098 HF patients and finally 15,092 patients were included in the study. Our results identified three distinct BG trajectory subphenotypes: increasing (n = 3503), stabilizing (n = 6250), and decreasing (n = 5339). The increasing subphenotype was associated with the highest mortality risk at 28 days, 180 days, and 1 year. The stabilizing and decreasing subphenotypes showed significantly lower mortality risks across all time points, with hazard ratios ranging from 0.85 to 0.88 (P<0.05 for all). Sensitivity analyses confirmed the robustness of these findings after adjusting for various covariates.

Increasing BG trajectory within 48 h of admission is significantly associated with higher mortality in patients with HF. It is necessary to devote greater attention to the early BG dynamic changes in HF patients to optimize clinical BG management and enhance patient prognosis.

The blood glucose level at admission indicates (with some limitations) poor prognosis and thrombus burden in patients with the acute coronary syndrome (ACS). Our study aimed to measure the predictive value of the stress hyperglycemia ratio (SHR), an indicator of stress hyperglycemia, showing increased thrombus burden in patients with ACS. Patients (n = 1222) with ACS were enrolled in this cross-sectional study. Coronary thrombus burden was classified as high and low. SHR was calculated by dividing the admission serum glucose by the estimated average glucose derived from HbA1c. Low thrombus burden was detected in 771 patients, while high thrombus burden (HTB) was detected in 451 patients. SHR was found to be significantly higher in patients with HTB (1.1 ± .3 vs 1.06 ± .4; P = .002). SHR was determined as a predictor of HTB (odds ratio (OR) 1.547 95% CI (1.139-2.100), P < .001) as a result of univariate analysis. According to multivariate analysis, SHR was determined as an independent risk factor for HTB (OR 1.328 CI (1.082-1.752), P = .001). We found that SHR predicted thrombus burden with higher sensitivity than admission glucose level in patients with ACS.

Whether intensive glucose control reduces mortality in critically ill patients remains uncertain. Patient-level meta-analyses can provide more precise estimates of treatment effects than are currently available.

We pooled individual patient data from randomized trials investigating intensive glucose control in critically ill adults. The primary outcome was in-hospital mortality. Secondary outcomes included survival to 90 days and time to live cessation of treatment with vasopressors or inotropes, mechanical ventilation, and newly commenced renal replacement. Severe hypoglycemia was a safety outcome.

Of 38 eligible trials (n=29,537 participants), 20 (n=14,171 participants) provided individual patient data including in-hospital mortality status for 7059 and 7049 participants allocated to intensive and conventional glucose control, respectively. Of these 1930 (27.3%) and 1891 (26.8%) individuals assigned to intensive and conventional control, respectively, died (risk ratio, 1.02; 95% confidence interval [CI], 0.96 to 1.07; P=0.52; moderate certainty). There was no apparent heterogeneity of treatment effect on in-hospital mortality in any examined subgroups. Intensive glucose control increased the risk of severe hypoglycemia (risk ratio, 3.38; 95% CI, 2.99 to 3.83; P<0.0001).

Intensive glucose control was not associated with reduced mortality risk but increased the risk of severe hypoglycemia. We did not identify a subgroup of patients in whom intensive glucose control was beneficial. (Funded by the Australian National Health and Medical Research Council and others; PROSPERO number CRD42021278869.).

Mean blood glucose (MBG) level is associated with mortality among critically ill patients. We undertook a cohort study to investigate the relationship between MBG and mortality in critically ill patients.

Critically ill patients were enrolled from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. MBG was calculated to represent the overall glycemic status during intensive care unit (ICU) hospitalization, and a multivariate logistic regression determined the relationship between MBG and ICU mortality in different subgroups of critically ill patients.

A total of 8,973 patients were included in the study, 1,244 of whom died within 28 days, including 5,402 men and 3,571 women. Multivariate adjusted restricted cubic spline analyses suggested that the relationship between MBG and ICU mortality was a "J" shape. Logistic regression showed 28 day mortality in group 3 (glucose ≥10 mmol/L): the adjusted odds ratio was 2.06 (95% confidence interval 1.65-2.57). The results of subgroup analysis showed that hyperglycemia had a more significant impact on ICU mortality in patients without diabetes, hypoglycemia and liver disease, and the ICU mortality risk of non-diabetes patients was always higher than that of diabetes patients with the same hyperglycemia level.

Current evidence suggested a J-shaped relationship between MBG and mortality in critically ill patients.

This retrospective, single-center study aimed to evaluate the impact of blood glucose (BG) markers on perioperative complications after esophagectomy in a cohort of 176 patients. Study analyses included the correlation of daily maximum BG level and hemoglobin A1c (HbA1c) with clinicopathological factors. Maximum BG levels were significantly higher on postoperative day (POD) 0 than on PODs 2, 3, 5, and 7 (p < 0.05). Additionally, maximum BG levels on PODs 1, 2, and 7 were significantly higher in patients with preoperative HbA1c levels of ≥ 5.6% than in those with preoperative HbA1c levels of < 5.6% (p < 0.05 for all). The rates of any complications and infectious complications were higher in patients with preoperative HbA1c levels of < 5.6% than in those with preoperative HbA1c levels of ≥ 5.6% (p < 0.05 for both). A preoperative HbA1c level of < 5.6% was a significant predictor of infectious complications after esophagectomy by logistic regression analysis (p < 0.05). Maximum BG level after esophagectomy remained high in patients with high preoperative HbA1c levels, whereas a normal HbA1c level was an independent risk factor for infectious complications.

Carbon monoxide (CO) is endogenously produced in mammals, with blood concentrations in the high micromolar range in the hemoglobin-bound form. Further, CO has shown therapeutic effects in various animal models. Despite its reputation as a poisonous gas at high concentrations, we show that CO should have a wide enough safety margin for therapeutic applications. The analysis considers a large number of factors including levels of endogenous CO, its safety margin in comparison to commonly encountered biomolecules or drugs, anticipated enhanced safety profiles when delivered via a noninhalation mode, and the large amount of safety data from human clinical trials. It should be emphasized that having a wide enough safety margin for therapeutic use does not mean that it is benign or safe to the general public, even at low doses. We defer the latter to public health experts. Importantly, this Perspective is written for drug discovery professionals and not the general public.

Background and Objectives: The risk of developing glycemic dysregulation up to overt diabetes mellitus (DM) after an episode of acute pancreatitis (AP) is increasingly being analyzed. We aimed to assess the changes in serum glucose levels associated with the first episode of AP, as well as the impact of dysglycemia on outcomes such as the severity of inflammation, the length of hospitalization, mortality, and the persistence of hyperglycemia at follow-up. Materials and Methods: All patients experiencing their first episode of AP, who presented to the Emergency Room (ER) between 1 January 2020 and 31 December 2023, were retrospectively included. On-admission serum glucose and peak serum glucose during hospitalization were the biological markers used to assess glucose metabolism impairment, and they were correlated with outcomes of AP. Results: Our study included 240 patients, 46.67% (112 patients) having a biliary etiology for an AP flare. Patients with COVID-19-associated AP exhibited the highest on-admission and peak serum glucose levels (244.25 mg/dL and 305.5 mg/dL, respectively). A longer hospital stay was noted in patients with peak serum glucose levels of ≥100 mg/dL (9.49 days) compared to normoglycemic patients (6.53 days). Both on-admission and peak glucose levels were associated with elevated CRP levels during hospitalization. A total of 83.78% of patients who received antibiotics exhibited on-admission hyperglycemia, and 72.07% had peak serum glucose levels of ≥100 mg/dL. The presence of hyperglycemia at follow-up was associated with both on-admission and peak serum glucose levels of ≥100 mg/dL, as well as with a longer stay, higher CRP levels, and antibiotic use during index admission. Conclusions: On-admission hyperglycemia predicts a higher inflammatory response in patients at the first episode of AP, while the presence of hyperglycemia during hospitalization is associated with imaging and biological severity and longer hospitalizations, indicating a more severe disease course. Both on-admission and peak in-hospital hyperglycemia were identified as risk factors for sustained hyperglycemia at follow-up.

Stress hyperglycemia ratio (SHR) has shown a predominant correlation with transient adverse events in critically ill patients. However, there remains a gap in comprehensive research regarding the association between SHR and mortality among patients experiencing cardiac arrest and admitted to the intensive care unit (ICU).

A total of 535 patients with their initial ICU admission suffered cardiac arrest, according to the American Medical Information Mart for Intensive Care (MIMIC)-IV database. Patients were stratified into four categories based on quantiles of SHR. Multivariable Cox regression models were used to evaluate the association SHR and mortality. The association between SHR and mortality was assessed using multivariable Cox regression models. Subgroup analyses were conducted to determine whether SHR influenced ICU, 1-year, and long-term all-cause mortality in subgroups stratified according to diabetes status.

Patients with higher SHR, when compared to the reference quartile 1 group, exhibited a greater risk of ICU mortality (adjusted hazard ratio [aHR] = 3.029; 95% CI: 1.802-5.090), 1-year mortality (aHR = 3.057; 95% CI: 1.885-4.958), and long-term mortality (aHR = 3.183; 95% CI: 2.020-5.015). This association was particularly noteworthy among patients without diabetes, as indicated by subgroup analysis.

Elevated SHR was notably associated with heightened risks of ICU, 1-year, and long-term all-cause mortality among cardiac arrest patients. These findings underscore the importance of considering SHR as a potential prognostic factor in the critical care management of cardiac arrest patients, warranting further investigation and clinical attention.

Recently, the stress hyperglycemia ratio (SHR) has been introduced as a metric to signify relative hyperglycemia. This study aimed to investigate the relationship between SHR and in-hospital mortality and length of stay occurring during hospitalization in stroke patients.

The retrospective cohort study comprised a total of 4,018 patients diagnosed with acute stroke. The SHR is expressed by the formula: SHR = ABG (mmol/L) / [1.59 × HbA1c (%) - 2.59]. Outcomes included in-hospital mortality and length of stay. Multivariable logistic and linear regression analyses were conducted. Receiver operating characteristic (ROC) analysis was performed to distinguish between the variables, and the area under the ROC curve (AUC) was compared.

In this analysis, a total of 4,018 individuals participated, including 2,814 male patients, accounting for 70.0%. Overall, in-hospital mortality and length of stay tended to rise as SHR increased. A higher prevalence of in-hospital mortality was observed with each standard deviation (SD) increase of the SHR (odds ratio [OR]: 1.26, 95% confidence interval [CI]: 1.05-1.52). Moreover, after considering the confounders, a significant positive association between SHR levels and length of stay was observed (β = 0.70, 95% CI: 0.40-1.00). ROC analysis showed that among stroke patients, SHR (AUC = 0.693) was more effective than admission blood glucose (ABG) (AUC = 0.646) and glycosylated hemoglobin (HbA1c) (AUC = 0.523), which were more predictive of in-hospital mortality.

Elevated SHR levels are associated with increased in-hospital mortality and prolonged length of stay in stroke patients.

Frequent and extensive within-day glycemic variability (GV) in blood glucose levels may increase the risk of hypoglycemia and long-term mortality in hospitalized patients with diabetes. We aimed to assess the amplitude and frequency of within-day GV in inpatients with type 2 diabetes and to explore the factors influencing within-day GV.

We conducted a single-center, retrospective observational study by analyzing hospital records and 10-day real-time continuous glucose monitoring data. Within-day GV was assessed using the coefficient of variation (%CV). The primary outcome was the amplitude and frequency of within-day GV. The frequency of within-day GV was assessed by the consecutive days (CD) of maintaining within the target %CV range after first reaching it (CD after first reaching the target) and the maximum consecutive days of maintaining within the target %CV range (Max-CD). The target %CV range was less than 24.4%. We evaluated the factors influencing within-day GV using COX regression and Poisson regression models.

A total of 1050 cases were analyzed, of whom 86.57% reduced the amplitude of within-day GV before the sixth day of hospitalization. Of the 1050 hospitalized patients, 66.57% stayed within the target %CV range for less than two days after first reaching the target and 69.71% experienced a Max-CD of fewer than four days. Reducing the average postprandial glucose excursion (hazard ratio [HR]: 0.81, 95% confidence interval [CI]: 0.77-0.85; incidence rate ratios [IRR]: 0.72, 95% CI: 0.69-0.74) and the use of α-glucosidase inhibitors (IRR: 1.1, 95% CI: 1.01-1.18) and glucagon-like peptide-1 agonist (IRR: 1.30, 95% CI: 1.02-1.65) contributed to reducing the amplitude and decreasing the frequency of within-day GV. However, the use of insulin (HR: 0.64, 95% CI: 0.55-0.75; IRR: 0.86, 95% CI: 0.79-0.93) and glinide (HR: 0.47, 95% CI: 0.31-0.73; IRR: 0.84, 95% CI: 0.73-0.97) may lead to an increased frequency of within-day GV.

An increasing frequency of within-day GV was observed during the hospitalization in patients with type 2 diabetes, despite the effective reduction in the amplitude of within-day GV. Using medications designed to lower postprandial blood glucose could contribute to minimize the risk of frequent within-day GV.

(1) Background: Diabetes is a well-established risk factor for acute ischemic stroke (AIS). This study evaluated the impact of prestroke glycemic control in diabetic patients on their 3-month clinical outcome after mechanical thrombectomy (MT). (2) Methods: AIS patients with a premorbid modified Rankin scale (mRS) score of 0-2 who were admitted within 6 h after stroke onset and treated with MT between January 2020 and August 2023 were retrospectively analyzed. The study evaluated the effect of prestroke glycemic control on the stroke severity, reperfusion rate, symptomatic intracranial hemorrhage (sICH) and favorable clinical outcome (modified Rankin scale score 0-2) at 3 months after endovascular treatment. (3) Results: A total of 364 patients were analyzed, with 275 cases of non-diabetes (ND), 66 of well-controlled diabetes (WCD) and 23 of poorly controlled diabetes (PCD). There was no significant difference in the baseline neurological deficit expressed according to the National Institutes of Health Stroke Scale among the three groups. The time from stroke onset to groin puncture was similar in the ND, WCD and PCD groups (median 215 min, 194.5 min and 222.5 min, respectively). There was no significant difference in the favorable 3-month clinical outcomes among these three groups (35.2% of ND patients, 42.4% of WCD patients and 39.1% of PCD patients) or full recovery (12.4% of ND patients, 11.0% of WCD patients and 17.4% of PCD patients). The rate of sICH was significantly higher in the PCD group as compared to the ND and WDP groups (21.7% of PCD patients versus 7.6% of ND patients, p = 0.038, and 6.0% of WCD patients, p = 0.046), but the 3-month mortality did not differ between the three groups (21.8% of ND group, 19.7% of WCD group and 26.1% of PCD group). (4) Conclusions: This study shows that poor prestroke glycemic control in AIS diabetic patients does not change the chance of a good clinical functional outcome after endovascular treatment. However, the increased risk of hemorrhagic complications in this group of patients should be considered.

To perform a systematic review and meta-analysis to evaluate the association of various measures of glycemic variability, including time-domain and complexity-domain, with short-term mortality in patients with critical illness.

We searched Embase Classic +, MEDLINE, and the Cochrane Database of Systematic Reviews from inception to November 3, 2023.

We included English language studies that assessed metrics of glycemic variation or complexity and short-term mortality in patients admitted to the ICU.

Two authors performed independent data abstraction and risk-of-bias assessments. We used a random-effects model to pool binary and continuous data and summarized estimates of effect using odds ratios and mean difference. We used the Quality in Prognosis Studies tool to assess risk of bias and the Grading of Recommendations, Assessment, Development and Evaluations to assess certainty of pooled estimates.

We included 41 studies (n = 162,259). We demonstrate that increased sd, coefficient of variance, glycemic lability index, and decreased time in range are probably associated with increased mortality in critically ill patients (moderate certainty) and that increased mean absolute glucose, mean amplitude of glycemic excursion, and detrended fluctuation analysis may be associated with increased mortality (low certainty).

We found a consistent association between increased measures of glycemic variability and higher short-term mortality in patient with critical illness. Further research should focus on standardized measurements of glycemic variation and complexity, along with their utility as therapeutic targets and prognostic markers.

Inflammation is involved in the development and progression of atherosclerosis. Recent studies indicated that glucose-to-lymphocyte ratio (GLR) level were significantly associated with the risk of mortality from inflammatory diseases, and showed a specific prognostic value. Herein, this study intended to explore the association between GLR level and in-hospital mortality in patients with acute myocardial infarction (AMI), and evaluate the predictive value of GLR on AMI prognosis.

Data of patients with AMI were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database in 2012-2019 in this retrospective cohort study. Univariate COX proportional hazard model was used to screen covariates. The associations between GLR and in-hospital mortality were evaluated using univariate and multivariate COX proportional hazard models. Subgroup analysis of age, gender, vasopressor use, SOFA scores, renal replacement therapy, coronary artery bypass graft, and β blockers use were performed. The evaluated index was hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, the predictive performance of GLR, glucose, and lymphocytes on in-hospital mortality was assessed respectively.

Among eligible patients, 248 (13.74%) died in the hospital. After adjusting for covariates, we found that a higher GLR level was associated with an increased risk of in-hospital mortality [HR = 1.70, 95%CI: (1.24-2.34)]. This relationship was also found in patients who were male, aged ≥65 years old, did not have renal replacement therapy, coronary artery bypass graft, or β blockers, used vasopressor or not, and whatever the SOFA scores (all P<0.05). Moreover, the predictive performance of GLR on in-hospital mortality seemed superior to that of glucose or lymphocytes.

GLR may be a potential predictor for AMI prognosis, which provided some references for identifying and managing high-risk populations early in clinical.

Hyperglycemia in the acute phase of intracerebral hemorrhage (ICH) has been associated with poor functional outcomes, however all interventions to lower glucose have yielded neutral or negative results. We attempt an explanation of the causal role of hyperglycemia in ΙCH outcome using generalized structural equation modeling.

Consecutive primary ICH patients admitted to an academic hospital between 2007 and 2018 were identified. Patients with missing baseline or follow up CT scans and without 90 day follow up status were excluded. We constructed a causal model accounting for pre-defined markers of ICH severity to evaluate the association between mean 72 h glucose and 90 day functional outcome measured by modified Rankin Scale, dichotomized as favorable ≤2 or unfavorable >2.

Primary analyses included 410 patients (70.4 ± 13.8years, 43 % female). Mean 72 h glucose was 137.5 ± 33.4mg/dl and 102 (25 %) patients were diabetic. On univariable analysis, higher glucose levels were negatively correlated with favorable outcome (p < 0.0001). However in the structural equation model, this relationship was significantly attenuated (p = 0.06) after accounting for the causal effect of diabetes (p < 0.0001), hematoma volume (p < 0.0001), intraventricular extension (p = 0.01) and Glasgow coma scale (p = 0.001) on glucose levels. On secondary analyses stratifying by diagnosis of diabetes, higher glucose levels were negatively correlated with favorable outcome in patients without diabetes (p = 0.04), but not in patients with diabetes (p = 0.35).

Hyperglycemia may be a downstream effect of other markers of ICH severity, particularly among patients without diabetes, suggesting a possible explanation for the limited evidence of glucose lowering interventions in outcome.

A meta-analysis investigation to measure the connotation between perioperative glycemic control (GC) approach and sternal wound infection (SWI) in individuals with diabetes mellitus (DM) experiencing cardiac surgery (CS). A comprehensive literature inspection till February 2023 was applied and 2654 interrelated investigations were reviewed. The 12 chosen investigations enclosed 1564 individuals with DM and CS in the chosen investigations' starting point, 790 of them were using strict GC, and 774 were using moderate GC. Odds ratio (OR) in addition to 95% confidence intervals (CIs) were used to compute the value of the Connotation between the perioperative GC approach and SWI in individuals with DM experiencing CS by the dichotomous and continuous approaches and a fixed or random model. Strict GC had significantly lower SWI (OR, 0.33; 95% CI, -0.22-0.50, P < .001) compared with those with moderate GC in individuals with DM and CS. Strict GC had significantly lower SWI compared with those with moderate GC in individuals with DM and CS. However, caused of the small sample sizes of several chosen investigations for this meta-analysis, care must be exercised when dealing with its values.

Both blood glucose and lactate are well-known predictors of organ dysfunction and mortality in critically ill patients. Previous research has shown that concurrent adjustment for glucose and lactate modifies the relationship between these variables and patient outcomes, including blunting of the association between blood glucose and patient outcome. We aim to investigate the relationship between ICU admission blood glucose and hospital mortality while accounting for lactate and diabetic status. Across 43,250 ICU admissions, weighted to account for missing data, we assessed the predictive ability of several logistic regression and generalised additive models that included blood glucose, blood lactate and diabetic status. We found that inclusion of blood glucose marginally improved predictive performance in all patients: AUC-ROC 0.665 versus 0.659 (p = 0.005), with a greater degree of improvement seen in non-diabetics: AUC-ROC 0.675 versus 0.663 (p < 0.001). Inspection of the estimated risk profiles revealed the standard U-shaped risk profile for blood glucose was only present in non-diabetic patients after controlling for blood lactate levels. Future research should aim to utilise observational data to estimate whether interventions such as insulin further modify this effect, with the goal of informing future RCTs of interventions targeting glycaemic control in the ICU.

This study aimed to determine the association between glycemic variability (GV) and mortality in hospitalized patients with coronavirus disease 2019 (COVID-19).

We prospectively analyzed data from inpatients (> 18 years old) with RT-PCR confirmed COVID-19 admitted between March 2020 and July 2021. All patients were hospitalized for more than 48 h and had at least six point-of-care capillary glucose tests obtained three times daily in the pre-prandial period during hospitalization. GV was measured using the glucose standard deviation (SD) and coefficient of variation (CV). ROC curve was adjusted to determine the SD and CV cutoff values associated with mortality (44.7 mg/dL and 27.5%, respectively); values above these were considered indicative of high GV. Logistic regression models were fitted to explore the association between GV and mortality in patients with and without diabetes.

A total of 628 patients were stratified into SD < 44.7 mg/dL (n = 357) versus ≥ 44.7 mg/dL (n = 271) and CV < 27.5% (n = 318) versus ≥ 27.5% (n = 310) groups. After controlling for age, sex, presence of diabetes mellitus (DM) and cardiovascular disease, we found a significant association between high GV and mortality (odds ratio 2.99 [1.88-4.77] for SD and 2.43 [1.54-3.85] for CV; p values < 0.001). The mortality rate was higher with SD ≥ 44.7 mg/dL and CV ≥ 27.5% compared to that with SD < 44.7 mg/dL and CV < 27.5%, regardless of DM (p < 0.001 for all).

High glycemic variability was independently associated with mortality in patients with and without DM, who were hospitalized with COVID-19.

Managing slow-healing wounds and associated complications is challenging, time-consuming, and expensive. Systematic collection, analysis, and dissemination of correct wound status data are critical for enhancing healing outcomes and reducing complications. However, traditional data collection approaches are often neither accurate nor user-friendly and require diverse skill levels, resulting in the collection of inconsistent and unreliable data. As an advancement to the authors' previously developed hydrogel-based smart wound dressing, here is reported an enhanced integration of drug delivery and sensing (pH and glucose) modules for accelerated treatment and continuous monitoring of cutaneous wounds. In the current study, growth factor delivery modules and an array of colorimetric glucose sensors are incorporated into the dressing to promote wound healing and extend the dressing's utility for diabetic wound treatment. Furthermore, the efficacy of the wound dressing in monitoring infection and supporting wound healing via antibiotic and growth factor delivery is investigated in mice models. The updated dressing reveals excellent healing benefits on non-infected and infected wounds, as well as real-time monitoring and early detection of wound infection.

Application of continuous glucose monitoring (CGM) has moved diabetes care from a reactive to a proactive process, in which a person with diabetes can prevent episodes of hypoglycemia or hyperglycemia, rather than taking action only once low and high glucose are detected. Consequently, CGM devices are now seen as the standard of care for people with type 1 diabetes mellitus (T1DM). Evidence now supports the use of CGM in people with type 2 diabetes mellitus (T2DM) on any treatment regimen, not just for those on insulin therapy. Expanding the application of CGM to include all people with T1DM or T2DM can support effective intensification of therapies to reduce glucose exposure and lower the risk of complications and hospital admissions, which are associated with high healthcare costs. All of this can be achieved while minimizing the risk of hypoglycemia and improving quality of life for people with diabetes. Wider application of CGM can also bring considerable benefits for women with diabetes during pregnancy and their children, as well as providing support for acute care of hospital inpatients who experience the adverse effects of hyperglycemia following admission and surgical procedures, as a consequence of treatment-related insulin resistance or reduced insulin secretion. By tailoring the application of CGM for daily or intermittent use, depending on the patient profile and their needs, one can ensure the cost-effectiveness of CGM in each setting. In this article we discuss the evidence-based benefits of expanding the use of CGM technology to include all people with diabetes, along with a diverse population of people with non-diabetic glycemic dysregulation.

In recent years, several studies have demonstrated that stress hyperglycemia is significantly associated with poor prognosis in patients diagnosed with acute coronary syndrome (ACS). In the present study, we aimed to investigate the potential associations between various markers of stress hyperglycemia, such as admission blood glucose (ABG), fasting blood sugar (FBS), and stress hyperglycemia ratio (SHR) with different definitions, and the occurrence of adverse cardiovascular events in patients diagnosed with ST-elevation myocardial infarction (STEMI) who have undergone percutaneous coronary intervention (PCI).

Our study enrolled a total of 1099 patients diagnosed with STEMI who underwent PCI from 2016 to 2021. The primary outcomes of this study were in-hospital death and all-cause mortality.

Stress hyperglycemia was associated with a higher incidence of in-hospital death (ABG OR: 1.27 95% CI 1.19-1.36; FBS OR: 1.25 95% CI 1.16-1.35; SHR1 OR: 1.61 95% CI 1.21-2.14; SHR2 OR: 1.57, 95%CI 1.22-2.01; SHR3 OR: 1.59, 95%CI 1.24-2.05) and all-cause mortality (ABG HR: 1.10, 95% CI 1.07-1.14; FBS HR: 1.12, 95 CI 1.07-1.17; SHR1 HR: 1.19 95% CI 1.03-1.39; SHR2 HR: 1.28, 95%CI 1.14-1.44; SHR3 HR: 1.29, 95%CI 1.14-1.45) after adjusting for ischemic time, age, gender, BMI, hypertension, hyperlipidemia, diabetes mellitus (DM), current smoking history, chronic kidney disease (CKD), previous history of coronary artery disease (CAD), atrial fibrillation (AF), heart failure (HF), stroke, cancer, culprit vessel, multi-vessel disease. These associations exhibited a non-linear, J-shaped pattern, wherein the risk significantly increased when the ABG and FBS levels exceeded 5mmol/L. Moreover, the inflection point for SHR was estimated to be 1.2.

Stress hyperglycemia was significantly associated with an increased risk of in-hospital death and all-cause mortality in STEMI patients treated with PCI. Stress hyperglycemia should be considered a high-risk prognostic marker in all STEMI patients, regardless of with or without diabetes.

Candida albicans is an opportunist pathogen responsible for a large spectrum of infections, from superficial mycosis to systemic diseases known as candidiasis. During infection in vivo, Candida albicans must adapt to host microenvironments and this adaptive response is crucial for the survival of this organism, as it facilitates the effective assimilation of alternative carbon sources others than glucose. We performed a global proteomic analysis on the global changes in protein abundance in response to changes in micronutrient levels, and, in parallel, explored changes in the intracellular redox and metabolic status of the cells. We show here that each of the carbon sources considered - glucose, acetate and lactate - induces a unique pattern of response in C. albicans cells, and that some conditions trigger an original and specific adaptive response involving the adaptation of metabolic pathways, but also a complete remodeling of thiol-dependent antioxidant defenses. Protein S-thiolation and the overproduction of reduced glutathione are two components of the response to high glucose concentration. In the presence of acetate, glutathione-dependent oxidative stress occurs, reduced thiol groups bind to proteins, and glutathione is exported out of the cells, these changes probably being triggered by an increase in glutathione-S-transferases. Overall, our results suggest that the role of cellular redox status regulation and defenses against oxidative stress, including the thiol- and glutathione-dependent response, in the adaptive response of C. albicans to alternative carbon sources should be reconsidered.

Stress hyperglycemia frequently occurs in patients with acute ischemic stroke (AIS). The influence of stress hyperglycemia on the outcomes of patients with AIS remains ambiguous.

Data from our institution on patients with AIS between June 2020 and June 2021 were retrospectively analyzed. The severity of the stroke was assessed using the National Institutes of Health Stroke Scale (NIHSS) at admission, and the primary endpoint was functional outcomes. Stress hyperglycemia was measured by the glucose-to-HbA1c ratio. In the multivariable analysis, two models that retained or excluded the NIHSS were adopted to explore the relationship between stress hyperglycemia and outcomes. The receiver operating characteristic curve (ROC) was calculated to determine an optimized cutoff value.

The optimal cutoff value was 1.135. When all patients were included, model 1 did not find an association between the glucose-to-HbA1c ratio and functional outcomes. In model 2, the glucose-to-HbA1c ratio^×10 (Glucose-to-HbA1c ratio ×10) was the independent predictor of functional outcomes (OR 1.19, 95% CI 1.07-1.33, p < 0.01). Separately, in patients without diabetes, the glucose-to-HbA1c ratio^×10 was the independent predictor of functional outcomes in both model 1 (OR 1.37, 95% CI 1.08-1.73, p = 0.01) and model 2 (OR 1.48, 95% CI 1.22-1.79, p < 0.01), but not in patients with diabetes. In addition, the glucose-to-HbA1c ratio^×10 was the independent predictor of stroke severity (OR 1.16, 95% CI 1.05-1.28, p < 0.01).

The glucose-to-HbA1c ratio was associated with more severe AIS. Specifically, the glucose-to-HbA1c ratio was associated with the functional outcomes in patients without diabetes but not in patients with diabetes.

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

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

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

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

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

Hyperglycemia is common in critically ill patients after surgery and is associated with worse perioperative outcomes. Yet, the impact of postoperative hyperglycemia on long-term outcomes remains unclear. We therefore analyzed the association between early postoperative hyperglycemia and 3-year overall survival in older patients who were admitted to the intensive care unit after surgery.

This was a post hoc analysis of database obtained from a previous randomized trial and 3-year follow-up. The underlying trial enrolled 700 patients aged 65 years or older who were admitted to the intensive care unit after elective non-cardiac surgery. Early postoperative time-weighted average blood glucose was calculated and was divided into three levels, i.e., <8.0 mmol/L, from 8.0 to 10.0 mmol/L, and >10.0 mmol/L. The primary outcome was 3-year overall survival. The association between time-weighted average blood glucose level and 3-year overall survival was analyzed with Cox proportional hazard regression models. Subgroup analyses were also performed in patients with or without diabetes, and in patients following cancer or non-cancer surgery.

A total of 677 patients (mean age 74 years, 60% male sex) were included in the final analysis. Within 3 years after surgery, deaths occurred in 22.1% (30/136) of patients with time-weighted average blood glucose <8.0 mmol/L, compared with 35.7% (81/227) of those from 8.0 to 10.0 mmol/L (unadjusted hazard ratio 1.75, 95% CI 1.15 to 2.67, P = 0.009), and 36.9% (116/314) of those >10.0 mmol/L (unadjusted hazard ratio 1.91, 95% CI 1.28 to 2.85, P = 0.002). After adjustment for confounding factors, the risk of 3-year mortality remained higher in patients with time-weighted average blood glucose from 8.0 to 10.0 mmol/L (adjusted hazard ratio 2.28, 95% CI 1.47 to 3.54, P < 0.001) and in those >10.0 mmol/L (adjusted hazard ratio 2.00, 95% CI 1.29 to 3.10, P = 0.002). Similar results were obtained in the subgroups of patients without diabetes and patients following cancer surgery.

For older patients admitted to the intensive care unit after elective non-cardiac surgery, high early blood glucose (time-weighted average blood glucose ≥ 8.0 mmol/L) was associated with poor 3-year overall survival. The impact of moderate glycemic control on long-term survival deserves further investigation.

In the Intensive care unit (ICU), hyperglycemia is often observed; commonly associated with pre-existing diabetes or pre-diabetes or in nondiabetic patients. This study aimed to assess the role of admission blood sugar levels with outcomes in ICU patients.

A total of 100 patients above 18 years of age were included in the study. A detailed history regarding the patient's age, sex, and any chronic illness were taken. Heart rate, systolic blood pressure, and Glasgow coma scale (GCS) scores were recorded. Admission blood glucose level, blood urea, total leucocyte count, and serum electrolytes were measured; and the outcome was noted.

The number of diabetics was significantly higher (65.5%) in the random blood sugar (RBS) ≥180 group. Hyponatremia was significantly associated with hyperglycemia. Patients with hyperglycemia had serum bicarbonate <18. A significantly greater number of patients with hyperglycemia had GCS scores of <8, and required mechanical ventilation. The duration of ICU stay and non-survivors were significantly higher in the hyperglycemia group. Random blood sugar at admission as a factor to assess outcome showed a sensitivity of 68.4 and specificity of 59.3 with a cut-off value of 197.

Admission of random blood sugar was significantly associated with poor outcomes. More stringent surveillance as well as routine blood glucose checks at the time of hospital admission should be emphasized.

Trypanosoma brucei spp. causes African Sleeping Sickness in humans and nagana, a wasting disease, in cattle. As T. brucei goes through its life cycle in its mammalian and insect vector hosts, it is exposed to distinct environments that differ in their nutrient resources. One such nutrient resource is fatty acids, which T. brucei uses to build complex lipids or as a potential carbon source for oxidative metabolism. Of note, fatty acids are the membrane anchoring moiety of the glycosylphosphatidylinositol (GPI)-anchors of the major surface proteins, Variant Surface Glycoprotein (VSG) and the Procyclins, which are implicated in parasite survival in the host. While T. brucei can synthesize fatty acids de novo, it also readily acquires fatty acids from its surroundings. The relative contribution of parasite-derived vs. host-derived fatty acids to T. brucei growth and survival is not known, nor have the molecular mechanisms of fatty acid uptake been defined. To facilitate experimental inquiry into these important aspects of T. brucei biology, we addressed two questions in this review: (1) What is known about the availability of fatty acids in different host tissues where T. brucei can live? (2) What is known about the molecular mechanisms mediating fatty acid uptake in T. brucei? Finally, based on existing biochemical and genomic data, we suggest a model for T. brucei fatty acid uptake that proposes two major routes of fatty acid uptake: diffusion across membranes followed by intracellular trapping, and endocytosis of host lipoproteins.

Emerging data highlight the interactions of preadmission glycemia, reflected by admission HbA1c levels, glycemic control during critical illness, and mortality. The association of preadmission insulin treatment with outcomes is unknown.

This observational cohort study includes 5245 patients admitted to the medical-surgical intensive care unit of a university-affiliated teaching hospital. Three groups were analyzed: patients with diabetes with prior insulin treatment (DM-INS, n = 538); patients with diabetes with no prior insulin treatment (DM-No-INS, n = 986); no history of diabetes (NO-DM, n = 3721). Groups were stratified by HbA1c level: <6.5%; 6.5%-7.9% and >8.0%.

Among the three strata of HbA1c, mean blood glucose (BG), coefficient of variation (CV), and hypoglycemia increased with increasing HbA1c, and were higher for DM-INS than for DM-No-INS. Among patients with HbA1c < 6.5%, mean BG ≥ 180 mg/dL and CV > 30% were associated with lower severity-adjusted mortality in DM-INS compared to patients with mean BG 80-140 mg/dL and CV < 15%, (P = .0058 and < .0001, respectively), but higher severity-adjusted mortality among DM-No-INS (P = .0001 and < .0001, respectively) and NON-DM (P < .0001 and < .0001, respectively). Among patients with HbA1c ≥ 8.0%, mean BG ≥ 180 mg/dL was associated with lower severity-adjusted mortality for both DM-INS and DM-No-INS than was mean BG 80-140 mg/dL (p < 0.0001 for both comparisons).

Significant differences in mortality were found among patients with diabetes based on insulin treatment and HbA1c at home and post-admission glycemic control. Prospective studies need to confirm an individualized approach to glycemic control in the critically ill.