Diabetes and sepsis: preclinical findings and clinical relevance

Incidence and prevention strategies for postprostate biopsy infections in the United States from 2012 to 2021

PURPOSE

Infectious complications following prostate biopsy are costly and potentially deadly. Multiple strategies have been devised to avoid infections, including augmented prophylaxis and transperineal biopsy (TPBx). Their uptake and success in reducing population-level infectious outcomes following biopsy are largely unknown. Here, we evaluate contemporary postbiopsy infections and hospital admissions in a large insurance claims dataset.

METHODS AND MATERIALS

The Merative MarketScan Database was queried for prostate biopsies from 2012 to 2021. MarketScan contains inpatient and outpatient data on >40 million individuals annually. Our primary endpoint was overall and sepsis-related hospitalizations within 14-days of prostate biopsy, and postbiopsy infections not requiring admission. Multvariable analysis evaluated temporal trends in endpoints.

RESULTS

We identified 301,733 patients undergoing prostate biopsy between 2012 and 2021 among whom 2,587 developed sepsis. The proportion of patients with sepsis decreased from 1.1% in 2017 to 0.7% in 2021, following an increase from 0.6% in 2012 to 1.1% in 2016. This paralleled trends in hospitalizations within 14-days. Postbiopsy infections not requiring hospitalization remained stable across the study period. These temporal trends persisted even after adjustment for patient age, comorbidities, biopsy history, insurance status, and geographic region. Single-agent fluoroquinolone use decreased alongside an increase in multiagent prophylaxis over the study period.

CONCLUSIONS

We identified a decrease in postbiopsy all-cause and sepsis-related hospitalization, synchronous with augmented prophylaxis. Our findings suggest population-level improvement in major postbiopsy complications, reversing a trend from historical series.

Neutrophil-lymphocyte ratio (NLR); an accurate inflammatory marker to predict diabetic foot ulcer amputation: a matched case-control study

BACKGROUND

Diabetic foot ulcer (DFU) is a well-known complication of diabetes. The main therapeutic options for treating DFU include surgical debridement. However, conditions such as sensory loss and insufficient blood supply can lead to lower extremity amputations. Inflammatory biomarkers, including the neutrophil‒lymphocyte ratio (NLR) and platelet‒lymphocyte ratio (PLR), have shown promise in predicting the development of diabetes complications.

METHODS

This study included 126 individuals with known DFUs who underwent amputation or debridement surgery during hospitalization between January 2017 and December 2022. The participants were divided into two groups, each containing 63 patients, based on the treatment they received. Analyses were conducted via univariate and multivariate regression models. The linearity of the relationship between each inflammatory index and the risk of amputation was further examined via restricted cubic spline (RCS) curves with four knots.

RESULTS

Categorical regression analysis showed an elevated risk of amputation in patients with an NLR greater than 6.08, with an OR of 13.090 (95% CI: 5.143-33.320, P < 0.001), compared with those with an NLR less than 6.08. Additionally, patients with a PLR greater than 210 demonstrated a similarly elevated risk of amputation with an OR of 2.31 (95% CI: 1.066‒4.669, P = 0.033); however, those with lymphocyte‒white blood cell ratio (LWR) levels of greater than 0.1265 exhibited reduced likelihood of having amputation (OR: 0.092 (95% CI: 0.038‒0.226, P < 0.001)).

CONCLUSIONS

This study supports that NLR, PLR and LWR may have value as a predictive marker for amputation in patients with DFUs.

Perioperative glycemic control in patients undergoing cardiac surgery

Diabetes mellitus (DM) is one of the most common chronic diseases, affecting globally about 537 million adults. Cardiovascular disease remains the leading cause of death and medical emergencies in the DM patient population. As a result, about 40% of patients with DM undergo cardiac surgery, mainly in the coronary arteries. Uncontrolled hyperglycemia, especially the prolonged condition, is an independent factor in postoperative mortality and the cause of many serious complications, such as surgical wound infection, sepsis, renal failure or cerebral or cardiovascular incidents. Adequate glycemic control in the perioperative period is the most important way to prevent the above complications. The issue has remained an important topic of many observational and experimental studies for years. This paper summarizes the current knowledge with regard to strategies of hyperglycemic control in patients undergoing cardiac surgery.

XueBiJing injection reduced mortality in sepsis patients with diabetes

Introduction

Sepsis patients with diabetes are at a high clinical risk. It is well reported that XueBiJing injection has good clinical benefit in sepsis individuals. However, there is no relevant report about the efficacy and safety of XBJ in sepsis patients with comorbid diabetes.

Methods

Data of two large randomized controlled clinical trials (XBJ-SAP (ChiCTR-TRC-13003534) and EXIT-SEP (NCT0323874)) were combined, and post hoc analyses were performed. Sepsis patients with diabetes were further divided into the XBJ-treated group and placebo group based on inclusion and exclusion criteria. The primary (28-day mortality) and secondary outcomes (mortality in the ICU and in the post-randomization hospital, acute physiology, and chronic health evaluation II (APACHE II) score and sequential organ failure assessment (SOFA) score) were compared between the XBJ treatment and placebo groups in sepsis patients with the diabetes status at baseline. Moreover, the occurrence of adverse events (AEs) was also assessed.

Results

At the study baseline, a total of 378 sepsis patients (227 men [60.0%] and 151 women [40.0%]; mean [SD] age, 60.3 [11.1] years) were considered to have diabetes, of which 177 received XBJ and 201 received placebo administration. Among these sepsis patients with diabetes, the mortality at 28 days was significantly lower in the XBJ group than in the placebo group (29 of 173 patients [16.8%] vs. 56 of 198 patients [28.3%], P = 0.01), and the absolute risk difference was 11.5% (95% CI, 3.1%-19.9%). Furthermore, there was no difference in the overall incidence of adverse events (AEs) when XBJ was used (24.4% [42 of 172 patients] vs. 27.7% [54 of 195 patients].

Discussion

The present study underscores the pivotal role of XBJ in modulating the immune response among sepsis patients suffering from diabetes mellitus, exploring the positive effects of XBJ on sepsis patients with diabetes mellitus. The efficacy and safety of XBJ compared with those of the placebo were consistent with the overall trial findings, demonstrating that XBJ is efficacious in sepsis patients with diabetes and suggesting that there is no need for special safety precautions.

Trial Registration Identifier

ChiCTR-TRC-13003534 and NCT0323874.

The Impact of SARS-CoV-2 Infection on Glucose Homeostasis in Hospitalized Patients with Pulmonary Impairment

Background and Objectives: We conducted a retrospective observational study to evaluate the impact of elevated blood glucose levels in patients with SARS-CoV-2 infection and a prior diagnosis of diabetes mellitus (DM) or newly diagnosed hyperglycemia. Materials and Methods: This study analyzed 6065 patients admitted to the COVID-19 departments of the "Marius Nasta" National Institute of Pulmonology in Bucharest, Romania, between 26 October 2020 and 5 January 2023. Of these, 813 patients (13.40%) were selected for analysis due to either a pre-existing diagnosis of DM or hyperglycemia at the time of hospital admission. Results: The erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) levels were elevated in patients with blood glucose levels exceeding 300 mg/dL. These elevations correlated with the presence of respiratory failure and increased mortality rates. Additionally, oxygen requirements were significantly higher at elevated blood glucose levels (p < 0.001), with a direct relationship between glycemia and oxygen demand. This was accompanied by lower oxygen saturation levels (p < 0.001). Maximum blood glucose levels were associated with the severity of respiratory failure (AUC 0.6, 95% CI: 0.56-0.63, p < 0.001). We identified cut-off values for blood glucose at admission (217.5 mg/dL) and maximum blood glucose during hospitalization (257.5 mg/dL), both of which were associated with disease severity and identified as risk factors for increased mortality. Conclusions: High blood glucose levels, both at admission and during hospitalization, were identified as risk factors for poor prognosis and increased mortality in patients with SARS-CoV-2 infection, regardless of whether the hyperglycemia was due to a prior diagnosis of DM or was newly developed during the hospital stay. These findings underscore the importance of glycemic control in the management of hospitalized COVID-19 patients.

Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning

Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke (AIS), often resulting in poor functional outcomes. However, no existing model can specifically predict HAI in AIS patients. Therefore, we employed the Gradient Boosting matching learning algorithm to establish predictive models for HAI occurrence in AIS patients and poor 30-day functional outcomes (modified Rankin Scale > 2) in AIS patients with HAI by analyzing electronic health records from 6560 AIS patients. Model performance was evaluated through internal cross-validation and external validation using an independent cohort of 3521 AIS patients. The established models demonstrated robust predictive performance for HAI in AIS patients, achieving area under the receiver operating characteristic curves (AUROCs) of 0.857 ± 0.008 during internal validation and 0.825 ± 0.002 during external validation. For AIS patients with HAI, the second model effectively predict poor 30-day functional outcomes, with AUROCs of 0.905 ± 0.009 during internal validation and 0.907 ± 0.002 during external validation. In conclusion, machine learning models effectively identify the HAI occurrence and predict poor 30-day functional outcomes in AIS patients with HAI. Future prospective studies are crucial for validating and refining these models for clinical application, as well as for developing an accessible flowchart or scoring system to enhance clinical practices.

Unveiling shared diagnostic biomarkers and molecular mechanisms between T2DM and sepsis: Insights from bioinformatics to experimental assays

Septic patients with T2DM were prone to prolonged recovery and unfavorable prognoses. Thus, this study aimed to pinpoint potential genes related to sepsis with T2DM and develop a predictive model for the disease. The candidate genes were screened using protein-protein interaction networks (PPI) and machine learning algorithms. The nomogram and receiver operating characteristic curve were developed to assess the diagnostic efficiency of the biomarkers. The relationship between sepsis and immune cells was analyzed using the CIBERSORT algorithm. The biomarkers were validated by qPCR and western blotting in basic experiments, and differences in organ damage in mice were studied. Three genes (MMP8, CD177, and S100A12) were identified using PPI and machine learning algorithms, demonstrating strong predictive capabilities. These biomarkers presented significant differences in gene expression patterns between diseased and healthy conditions. Additionally, the expression levels of biomarkers in mouse models and blood samples were consistent with the findings of the bioinformatics analysis. The study elucidated the common molecular mechanisms associated with the pathogenesis of T2DM and sepsis and developed a gene signature-based prediction model for sepsis. These findings provide new targets for the diagnosis and intervention of sepsis complicated with T2DM.

Polymicrobial bloodstream infection involving Oligella urethralis and Trueperella bernardiae: a case report and literature review

Oligella urethralis and Trueperella bernardiae are rare causes of bacteremia. A 96-year-old female nursing home resident with diabetes presented with polymicrobial bloodstream infection comprising these organisms and obstructive urinary tract infection. O. urethralis identified from blood cultures was resistant to fluoroquinolones and non-fourth-generation cephalosporins. Cases must be accumulated to define the clinical features of these organisms for infection control.

The profile of blood microbiome in new-onset type 1 diabetes children

Blood microbiome signatures in patients with type 1 diabetes (T1D) remain unclear. We profile blood microbiome using 16S rRNA gene sequencing in 77 controls and 64 children with new-onset T1D, and compared it with the gut and oral microbiomes. The blood microbiome of patients with T1D is characterized by increased diversity and perturbed microbial features, with a significant increase in potentially pathogenic bacteria compared with controls. Thirty-six representative genera of blood microbiome were identified by random forest analysis, providing strong discriminatory power for T1D with an AUC of 0.82. PICRUSt analysis suggested that bacteria capable of inducing inflammation were more likely to enter the bloodstream in T1D. The overlap of the gut and oral microbiome with the blood microbiome implied potential translocation of bacteria from the gut and oral cavity to the bloodstream. Our study raised the necessity of further mechanistic investigations into the roles of blood microbiome in T1D.

GLP-1 receptor agonists' impact on cardio-renal outcomes and mortality in T2D with acute kidney disease

Previous studies have explored the effects of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in reducing cardiovascular events in type 2 diabetes. Here we show that GLP-1 RAs are associated with lower risks of mortality, major cardiovascular events (MACEs), and major adverse kidney events (MAKEs) in type 2 diabetes patients with acute kidney disease (AKD). Utilizing global data from the TriNetX database (2002/09/01-2022/12/01) and propensity score matching, we compare 7511 GLP-1 RAs users to non-users among 165,860 AKD patients. The most common causes of AKI are sepsis (55.2%) and cardiorenal syndrome (34.2%). After a median follow-up of 2.3 years, GLP-1 RAs users exhibit reduced risks of mortality (adjusted hazard ratio [aHR]: 0.57), MACEs (aHR: 0.88), and MAKEs (aHR: 0.73). External validation in a multicenter dataset of 1245 type 2 diabetes patients with AKD supports the favorable outcomes. These results emphasize the potential of GLP-1 RAs in individualized treatment for this population.

Causal relationships between lung cancer and sepsis: a genetic correlation and multivariate mendelian randomization analysis

Background

Former research has emphasized a correlation between lung cancer (LC) and sepsis, but the causative link remains unclear.

Method

This study used univariate Mendelian Randomization (MR) to explore the causal relationship between LC, its subtypes, and sepsis. Linkage Disequilibrium Score (LDSC) regression was used to calculate genetic correlations. Multivariate MR was applied to investigate the role of seven confounding factors. The primary method utilized was inverse-variance-weighted (IVW), supplemented by sensitivity analyses to assess directionality, heterogeneity, and result robustness.

Results

LDSC analysis revealed a significant genetic correlation between LC and sepsis (genetic correlation = 0.325, p = 0.014). Following false discovery rate (FDR) correction, strong evidence suggested that genetically predicted LC (OR = 1.172, 95% CI 1.083-1.269, p = 8.29 × 10-5, P fdr = 2.49 × 10-4), squamous cell lung carcinoma (OR = 1.098, 95% CI 1.021-1.181, p = 0.012, P fdr = 0.012), and lung adenocarcinoma (OR = 1.098, 95% CI 1.024-1.178, p = 0.009, P fdr = 0.012) are linked to an increased incidence of sepsis. Suggestive evidence was also found for small cell lung carcinoma (Wald ratio: OR = 1.156, 95% CI 1.047-1.277, p = 0.004) in relation to sepsis. The multivariate MR suggested that the partial impact of all LC subtypes on sepsis might be mediated through body mass index. Reverse analysis did not find a causal relationship (p > 0.05 and P fdr > 0.05).

Conclusion

The study suggests a causative link between LC and increased sepsis risk, underscoring the need for integrated sepsis management in LC patients.

Preexisting Diabetes Mellitus and All-Cause Mortality in Adult Patients With Sepsis: A Population-Based Cohort Study

OBJECTIVES

We assessed the association of preexisting diabetes mellitus with all-cause mortality and organ support receipt in adult patients with sepsis.

DESIGN

Population-based cohort study.

SETTING

Ontario, Canada (2008-2019).

POPULATION

Adult patients (18 yr old or older) with a first sepsis-related hospitalization episode.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The main exposure of interest was preexisting diabetes (either type 1 or 2). The primary outcome was all-cause mortality by 90 days; secondary outcomes included receipt of invasive mechanical ventilation and new renal replacement therapy. We report adjusted (for baseline characteristics using standardization) risk ratios (RRs) alongside 95% CIs. A main secondary analysis evaluated the potential mediation by prior metformin use of the association between preexisting diabetes and all-cause mortality following sepsis. Overall, 503,455 adults with a first sepsis-related hospitalization episode were included; 36% had preexisting diabetes. Mean age was 73 years, and 54% of the cohort were females. Preexisting diabetes was associated with a lower adjusted risk of all-cause mortality at 90 days (RR, 0.81; 95% CI, 0.80-0.82). Preexisting diabetes was associated with an increased risk of new renal replacement therapy (RR, 1.53; 95% CI, 1.46-1.60) but not invasive mechanical ventilation (RR, 1.03; 95% CI, 1.00-1.05). Overall, 21% (95% CI, 19-28) of the association between preexisting diabetes and reduced risk of all-cause mortality was mediated by prior metformin use.

CONCLUSIONS

Preexisting diabetes is associated with a lower risk of all-cause mortality and higher risk of new renal replacement therapy among adult patients with sepsis. Future studies should evaluate the underlying mechanisms of these associations.

Effector function and neutrophil cell death in the severity of sepsis with diabetes mellitus

Sepsis, a life-threatening condition resulting from immune dysregulation, is typically triggered by bacterial infections and commonly coexists with diabetes mellitus. Neutrophils are the first responders to infection and require regulated activation to control pathogen and damage-associated molecular patterns. Dysregulation of neutrophil activation leads to uncontrolled inflammatory responses, often observed in both sepsis and diabetes patients. Neutrophil dysregulation, characterized by effector dysfunction and inadequate cell death processes, can serve as a biomarker for assessing sepsis severity, particularly in diabetic patients. This review provides information on the relationship between effector function, neutrophil cell death, and the severity of sepsis in individuals with diabetes mellitus, aiming to shed light on the mechanisms underlying sepsis progression. Topics covered in the review include an overview of effector function of neutrophil cells, mechanisms of neutrophil cell death, and dysregulation of effectors and neutrophil cell death processes in sepsis severity with diabetes mellitus.

Impact of Hyperglycemia on Complication and Mortality after Transarterial Chemoembolization for Hepatocellular Carcinoma

BACKGRUOUND

Current guidelines regarding periprocedural glycemic control to prevent complications after nonsurgical invasive procedures are insufficient. Transarterial chemoembolization (TACE) is a widely used treatment for unresectable hepatocellular carcinoma. We aimed to investigate the association between diabetes mellitus (DM) per se and the degree of hyperglycemia with postprocedural complications after TACE.

METHODS

A total of 22,159 TACE procedures performed at Seoul National University Hospital from 2005 to 2018 were retrospectively analyzed. The associations between DM, preprocedural glycosylated hemoglobin (HbA1c), and periprocedural average glucose with postprocedural adverse outcomes were evaluated. The primary outcome was occurrence of postprocedural bacteremia. Secondary outcomes were acute kidney injury (AKI), delayed discharge and death within 14 days. Periprocedural glucose was averaged over 3 days: the day of, before, and after the TACE procedures. Propensity score matching was applied for procedures between patients with or without DM.

RESULTS

Periprocedural average glucose was significantly associated with bacteremia (adjusted odds ratio per 50 mg/dL of glucose, 1.233; 95% confidence interval, 1.071 to 1.420; P=0.004), AKI, delayed discharge, and death within 14 days. DM per se was only associated with bacteremia and AKI. Preprocedural HbA1c was associated with delayed discharge. Average glucose levels above 202 and 181 mg/dL were associated with a significantly higher risk of bacteremia and AKI, respectively, than glucose levels of 126 mg/dL or lower.

CONCLUSION

Periprocedural average glucose, but not HbA1c, was associated with adverse outcomes after TACE, which is a nonsurgical invasive procedure. This suggests the importance of periprocedural glycemic control to reduce postprocedural complications.

Safety and Efficacy of GLP-1 Receptor Agonists in Type 2 Diabetes Mellitus with Advanced and End-Stage Kidney Disease: A Systematic Review and Meta-Analysis

Background and Objectives: Limited evidence exists regarding the safety and efficacy of glucagon-like peptide-1 receptor agonists (GLP-1RAs) in type 2 diabetes mellitus (T2DM) patients with advanced chronic kidney disease (CKD) or end-stage kidney disease (ESKD). Thus, we conducted a systematic review and meta-analysis to assess the safety and efficacy of GLP-1RAs in T2DM patients with advanced CKD and ESKD. Materials and Methods: We performed a systematic literature search in MEDLINE, EMBASE, and Cochrane database until 25 October 2023. Included were clinical trials and cohort studies reporting outcomes of GLP-1RAs in adult patients with T2DM and advanced CKD. Outcome measures encompassed mortality, cardiovascular parameters, blood glucose, and weight. Safety was assessed for adverse events. The differences in effects were expressed as odds ratios with 95% confidence intervals (CIs) for dichotomous outcomes and the weighted mean difference or standardized mean difference (SMD) with 95% confidence intervals for continuous outcomes. The Risk of Bias In Non-randomized Studies-of Interventions (ROBIN-I) tool was used in cohort and non-randomized controlled studies, and the Cochrane Risk of Bias (RoB 2) tool was used in randomized controlled trials (RCTs). The review protocol was registered in the International Prospective Register of Systematic Reviews (CRD 42023398452) and received no external funding. Results: Eight studies (five trials and three cohort studies) consisting of 27,639 patients were included in this meta-analysis. No difference was observed in one-year mortality. However, GLP-1RAs significantly reduced cardiothoracic ratio (SMD of -1.2%; 95% CI -2.0, -0.4) and pro-BNP (SMD -335.9 pmol/L; 95% CI -438.9, -232.8). There was no significant decrease in systolic blood pressure. Moreover, GLP-1RAs significantly reduced mean blood glucose (SMD -1.1 mg/dL; 95% CI -1.8, -0.3) and increased weight loss (SMD -2.2 kg; 95% CI -2.9, -1.5). In terms of safety, GLP-1RAs were associated with a 3.8- and 35.7-time higher risk of nausea and vomiting, respectively, but were not significantly associated with a higher risk of hypoglycemia. Conclusions: Despite the limited number of studies in each analysis, our study provides evidence supporting the safety and efficacy of GLP-1RAs among T2DM patients with advanced CKD and ESKD. While gastrointestinal side effects may occur, GLP-1RAs demonstrate significant improvements in blood glucose control, weight reduction, and potential benefit in cardiovascular outcomes.

Magnitude of Septic Shock and its Associated Factors Among Critically Ill COVID-19 Patients at Addis Ababa COVID-19 Care Centers, Ethiopia

Background

The coronavirus disease (COVID-19) pandemic imposed a major public health impact. Septic shock is one of the frequent complications encountered among critically ill COVID-19 patients, leading to poor healthcare outcomes. This study aimed at assessing the magnitude of septic shock and its associated factors.

Methods and materials

An institution-based cross-sectional study was conducted retrospectively on 242 randomly selected COVID-19 patients admitted to three Addis Ababa COVID-19 care centers from September 2020 to October 2021. Septic shock was defined as a Sequential Organ Failure Assessment (SOFA) score ≥2 points and persisting hypotension requiring vasopressors to maintain a mean arterial pressure of ≥65 mmHg despite adequate volume resuscitation. Variables in the bivariate analysis were fitted to multiple regression analysis to eliminate confounders and determine independent risk factors for septic shock. In the multivariable analysis, statistical significance was declared at P < .05.

Results

The prevalence of septic shock was found to be 39.3% (95% confidence interval [CI]: 33.1, 45.7). Advanced age (≥60 years) [AOR = 7.9; 95% CI: 2.3, 26.8], intensive care unit stay above 7 days [AOR = 6.2; 95%CI: 2.1, 18.7], invasive ventilation [AOR = 10; 95% CI: 3, 37], and chronic obstructive pulmonary disease (COPD) [AOR = 18; 95% CI: 7, 45] were significantly associated with increased septic shock among COVID-19 patients. Meanwhile, diabetes [AOR = 0.24; 95% CI: 0.08, 0.71] and cardiovascular diseases [AOR = 0.17; 95% CI: 0.07, 0.44] were associated with a decrease risk of septic shock.

Conclusion

The prevalence of septic shock in critically ill COVID-19 patients was high and a major concern in this study, and it is independently associated with advanced age, prolonged stay in the intensive care unit, and COPD. Based on these findings, healthcare professionals should closely monitor and manage patients with COVID-19 who have a history of COPD, are older, or prolonged intensive care unit (ICU) stays to prevent septic shock and improve patient outcomes.

Granulomatous Myocarditis Caused by Candida Spp Infection in a Spontaneously Diabetic Torii Rat

Background

Myocarditis refers to myocardial inflammation with necrosis caused by non-infectious of infectious agents such as bacteria, fungi, or drugs. Candida is known to cause myocarditis in healthy and immunocompromised individuals. Diabetes mellitus causes chronic hyperglycemia due to impaired secretion or hypofunction of insulin, induces a compromised state, and increases the risk of contracting various infections.

Objective

We report a case of granulomatous myocarditis caused by Candida in a Spontaneously Diabetic Torii rat, a non-obese diabetic model.

Case report

A male SDT rat, 61 weeks of age, was housed in conventional environment. The rat was provided a commercial diet and tap water ad libitum. The heart was sampled and prepared the specimen of hematoxylin-and-eosin-, Sirius-red-, Giemsa-, Grocott-stain. Histologically, formation of large granulation tissue was observed in the left ventricular wall. A center of the foci showed necrosis. Moreover, inflammatory cells infiltration and fibrous component were increased surrounding the foci and between myocardial cells. A Grocott and Giemsa staining-positive cell masses occasionally appearing in the foci were considered to be Candida because of their characteristic form.

Conclusion

The development and progression of myocarditis were potentially related to a diabetes-induced compromised state.

Clinical value of neutrophil-to-lymphocyte ratio and prognostic nutritional index on prediction of occurrence and development of diabetic foot-induced sepsis

Background

Diabetic foot-induced sepsis is a serious complication associated with increased disability and mortality in hospitalized patients. Early prediction of admission and detection effectively improve treatment options and prevent further deterioration. This study aims to evaluate the clinical value of the neutrophil-to-lymphocyte ratio (NLR) and prognostic nutritional index (PNI) to predict the risk of sepsis in patients with diabetic foot ulcers (DFU).

Methods

Retrospective analysis was performed on 216 patients who were admitted to the Fujian Medical University Union Hospital between January 2015 and December 2022. Patients with DFU were divided into the non-sepsis (n = 166) and the DFU-induced sepsis (n = 50) groups. The independent factors of DFU-induced sepsis were determined by univariate and multivariate logistic regression analyses. A receiver operating characteristic (ROC) curve was performed to compare the area under the curves (AUC) of PNI and NLR.

Results

Multivariate logistic regression analysis revealed that the PNI, NLR, international normalized ratio (INR), thrombin time (PT), and C-reactive protein (CRP) were independent prognostic factors for DFU-induced sepsis. After adjusting for potential confounders, the adjusted odds ratios of NLR for DFU-induced sepsis were 1.121 (1.072-1.172), 1.132 (1.077-1.189), and 1.080 (1.022-1.142), while those of PNI were 0.912 (0.873-0.953), 0.902 (0.856-0.950), and 1.004 (1.001-1.006). Moreover, the AUC of NLR was significantly greater than that of CRP (0.790, 95% CI: 0.689-0.891, p < 0.001 vs. 0.780, 95% CI: 0.686-0.873, p < 0.001).

Conclusion

NLR and PNI have been regarded as readily and independently predictive markers in patients with DFU-induced sepsis. NLR is critical for the early detection and effective treatment of DFU-induced sepsis and is superior to CRP.

Use of Peak Glucose Level and Peak Glycemic Gap in Mortality Risk Stratification in Critically Ill Patients with Sepsis and Prior Diabetes Mellitus of Different Body Mass Indexes

Sepsis remains a critical concern in healthcare, and its management is complicated when patients have pre-existing diabetes and varying body mass indexes (BMIs). This retrospective multicenter observational study, encompassing data from 15,884 sepsis patients admitted between 2012 and 2017, investigates the relationship between peak glucose levels and peak glycemic gap in the first 3 days of ICU admission, and their impact on mortality. The study reveals that maintaining peak glucose levels between 141-220 mg/dL is associated with improved survival rates in sepsis patients with diabetes. Conversely, peak glycemic gaps exceeding 146 mg/dL are linked to poorer survival outcomes. Patients with peak glycemic gaps below -73 mg/dL also experience inferior survival rates. In terms of predicting mortality, modified Sequential Organ Failure Assessment-Peak Glycemic Gap (mSOFA-pgg) scores outperform traditional SOFA scores by 6.8% for 90-day mortality in overweight patients. Similarly, the modified SOFA-Peak Glucose (mSOFA-pg) score demonstrates a 17.2% improvement over the SOFA score for predicting 28-day mortality in underweight patients. Importantly, both mSOFA-pg and mSOFA-pgg scores exhibit superior predictive power compared to traditional SOFA scores for patients at high nutritional risk. These findings underscore the importance of glycemic control in sepsis management and highlight the potential utility of the mSOFA-pg and mSOFA-pgg scores in predicting mortality risk, especially in patients with diabetes and varying nutritional statuses.

Are Patients With an International Classification of Diseases, 10th Edition Discharge Diagnosis Code for Sepsis Different in Regard to Demographics and Outcome Variables When Comparing Those With Sepsis Only to Those Also Diagnosed With COVID-19 or Those With a COVID-19 Diagnosis Alone?

OBJECTIVES

We analyzed whether patients with the International Classification of Diseases, 10th Edition (ICD-10) discharge diagnosis code for sepsis are different in regard to demographics and outcome variables when comparing those with sepsis only to those also diagnosed with COVID-19 or those with a COVID-19 diagnosis alone.

DESIGN

Retrospective cohort study.

SETTING

Nine hospitals in an academic health system.

PATIENTS

Patients with a final ICD-10 discharge diagnostic code for sepsis only, a diagnosis of COVID-19-only, or a final sepsis ICD-10 discharge code + a diagnosis of COVID-19 admitted to the hospital were analyzed for demographic and outcome differences between the cohorts.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 11,395 patients met inclusion criteria: 6,945 patients (60.9%) were ICD-10 sepsis code only, 3,294 patients (28.9%) were COVID-19 diagnosis-only, and 1,153 patients (10.1%) were sepsis ICD-10 code + COVID-19 diagnosis. Comparing sepsis ICD-10 code + COVID-19 diagnosis patients to sepsis ICD-10 code only and COVID-19 diagnosis-only patients, the sepsis ICD-10 code + COVID-19 diagnosis patients were: older (69 [58-78] vs 67 [56-77] vs 64 [51-76] yr), less likely to be female (40.3% vs 46.7% vs 49.5%), more frequently admitted to the ICU (59.3% [684/1,153] vs 54.9% [1,810/3,297] vs 15% [1,042/6,945]), more frequently required ventilatory support (39.3% [453/1,153] vs 31.8% [1,049/3,297] vs 6.0% [417/6,945]), had longer median hospital length of stay (9 [5,16] vs 5 [3,8] vs 7. [4,13] d), and were more likely to die in the hospital (39.2% [452/1,153] vs 22.3% [735/3,297] vs 6.4% [444/6,945]).

CONCLUSIONS

During the COVID-19 pandemic the sickest cohort of patients was those receiving an explicit ICD-10 code of sepsis + a COVID-19 diagnosis. A significant percentage of COVID-19 diagnosis-only patients appear to have been under-coded as they received a level of critical care (ICU admission; intubation) suggestive of the presence of acute organ dysfunction during their admission.

Management of patients on antithrombotic therapy with severe infections: a joint clinical consensus statement of the ESC Working Group on Thrombosis, the ESC Working Group on Atherosclerosis and Vascular Biology, and the International Society on Thrombosis and Haemostasis

Patients with severe infections and a pre-existing indication for antithrombotic therapy, i.e. antiplatelet agents, anticoagulant drugs, or their combinations, require integrated clinical counselling among coagulation, infectious disease, and cardiology specialists, due to sepsis-induced coagulopathy that frequently occurs. Bacterial and viral pathogens constitute an increasing threat to global public health, especially for patients with ongoing antithrombotic treatment who have a high risk of thrombotic recurrences and high susceptibility to severe infections with increased morbidity and mortality. Similarly, sepsis survivors are at increased risk for major vascular events. Coagulopathy, which often complicates severe infections, is associated with a high mortality and obligates clinicians to adjust antithrombotic drug type and dosing to avoid bleeding while preventing thrombotic complications. This clinical consensus statement reviews the best available evidence to provide expert opinion and statements on the management of patients hospitalized for severe bacterial or viral infections with a pre-existing indication for antithrombotic therapy (single or combined), in whom sepsis-induced coagulopathy is often observed. Balancing the risk of thrombosis and bleeding in these patients and preventing infections with vaccines, if available, are crucial to prevent events or improve outcomes and prognosis.

The predictive values of admission characteristics for 28-day all-cause mortality in septic patients with diabetes mellitus: a study from the MIMIC database

Background

Septic patients with diabetes mellitus (DM) are more venerable to subsequent complications and the resultant increase in associated mortality. Therefore, it is important to make tailored clinical decisions for this subpopulation at admission.

Method

Data from large-scale real-world databases named the Medical Information Mart for Intensive Care Database (MIMIC) were reviewed. The least absolute selection and shrinkage operator (LASSO) was performed with 10 times cross-validation methods to select the optimal prognostic factors. Multivariate COX regression analysis was conducted to identify the independent prognostic factors and nomogram construction. The nomogram was internally validated via the bootstrapping method and externally validated by the MIMIC III database with receiver operating characteristic (ROC), calibration curves, decision curve analysis (DCA), and Kaplan-Meier curves for robustness check.

Results

A total of 3,291 septic patients with DM were included in this study, 2,227 in the MIMIC IV database and 1,064 in the MIMIC III database, respectively. In the training cohort, the 28-day all-cause mortality rate is 23.9% septic patients with DM. The multivariate Cox regression analysis reveals age (hazard ratio (HR)=1.023, 95%CI: 1.016-1.031, p<0.001), respiratory failure (HR=1.872, 95%CI: 1.554-2.254, p<0.001), Sequential Organ Failure Assessment score (HR=1.056, 95%CI: 1.018-1.094, p=0.004); base excess (HR=0.980, 95%CI: 0.967-0.992, p=0.002), anion gap (HR=1.100, 95%CI: 1.080-1.120, p<0.001), albumin (HR=0.679, 95%CI: 0.574-0.802, p<0.001), international normalized ratio (HR=1.087, 95%CI: 1.027-1.150, p=0.004), red cell distribution width (HR=1.056, 95%CI: 1.021-1.092, p=0.001), temperature (HR=0.857, 95%CI: 0.789-0.932, p<0.001), and glycosylated hemoglobin (HR=1.358, 95%CI: 1.320-1.401, p<0.001) at admission are independent prognostic factors for 28-day all-cause mortality of septic patients with DM. The established nomogram shows satisfied accuracy and clinical utility with AUCs of 0.870 in the internal validation and 0.830 in the external validation cohort as well as 0.820 in the septic shock subpopulation, which is superior to the predictive value of the single SOFA score.

Conclusion

Our results suggest that admission characteristics show an optimal prediction value for short-term mortality in septic patients with DM. The established model can support intensive care unit physicians in making better initial clinical decisions for this subpopulation.

Prevalent diabetes and long-term cardiovascular outcomes in adult sepsis survivors: a population-based cohort study

BACKGROUND

Sepsis survivors are at elevated risk for cardiovascular disease during long-term follow-up. Whether diabetes influences cardiovascular risk after sepsis survival remains unknown. We sought to describe the association of diabetes with long-term cardiovascular outcomes in adult sepsis survivors.

METHODS

Population-based cohort study in the province of Ontario, Canada (2008-2017). Adult survivors of a first sepsis-associated hospitalization, without pre-existing cardiovascular disease, were included. Main exposure was pre-existing diabetes (any type). The primary outcome was the composite of myocardial infarction, stroke, and cardiovascular death. Patients were followed up to 5 years from discharge date until outcome occurrence or end of study period (March 2018). We used propensity score matching (i.e., 1:1 to patients with sepsis but no pre-existing diabetes) to adjust for measured confounding at baseline. Cause-specific Cox proportional hazards models with robust standard errors were used to estimate hazard ratios (HR) alongside 95% confidence intervals (CI). A main secondary analysis evaluated the modification of the association between sepsis and cardiovascular disease by pre-existing diabetes.

RESULTS

78,638 patients with pre-existing diabetes who had a sepsis-associated hospitalization were matched to patients hospitalized for sepsis but without diabetes. Mean age of patients was 71 years, and 55% were female. Median duration from diabetes diagnosis was 9.8 years; mean HbA1c was 7.1%. Adult sepsis survivors with pre-existing diabetes experienced a higher hazard of major cardiovascular disease (HR 1.25; 95% CI 1.22-1.29)-including myocardial infarction (HR 1.40; 95% CI 1.34-1.47) and stroke (HR 1.24; 95% CI 1.18-1.29)-during long-term follow-up compared to sepsis survivors without diabetes. Pre-existing diabetes modified the association between sepsis and cardiovascular disease (risk difference: 2.3%; 95% CI 2.0-2.6 and risk difference: 1.8%; 95% CI 1.6-2.0 for the effect of sepsis-compared to no sepsis-among patients with and without diabetes, respectively).

CONCLUSIONS

Sepsis survivors with pre-existing diabetes experience a higher long-term hazard of major cardiovascular events when compared to sepsis survivors without diabetes. Compared to patients without sepsis, the absolute risk increase of cardiovascular events after sepsis is higher in patients with diabetes (i.e., diabetes intensified the higher cardiovascular risk induced by sepsis).

Disparities between randomized clinical trial participants and sepsis patients in real-world

BACKGROUND

The external validity or "generalizability" of randomized controlled trials (RCTs) often needs be considered when making treatment decisions. We evaluate whether participants in large multicenter RCTs investigating sepsis were similar in age, disease severity, comorbidities, and mortality to the general population of sepsis patients.

METHODS

Using MEDLINE, PubMed, and the Cochrane Central Register of Controlled Trials, RCTs that enrolled 100 or more adult sepsis patients from two or more sites published from 01 January 2000 to 04 August 2019 were identified. The weighted mean age of trial participants was calculated as the main variable, and it was compared with the mean ages of the overall populations derived from the MIMIC database and the EICU database. Two researchers independently screened all abstracts and performed data extraction, then aggregated the data using a random effects model. Multiple linear regression was used to determine whether any factors were significantly associated with age disparities.

RESULTS

The mean age of the 60,577 participants in the 94 trials included in the analysis was significantly lower than those of the patients in the MIMIC and EICU databases (weighted mean age 62.28 years vs. 64.47 years for MIMIC and 65.20 years for EICU; both p < 0.001). Trial participants were less likely to have known comorbidities such as diabetes (13.96% vs. 30.64% for MIMIC and 35.75% for EICU; both p < 0.001). The weighted mortality rate in trial participants was higher than that in patients in the MIMIC and EICU databases (29.33% vs. 20.72% for MIMIC and 17.53% for EICU; both p < 0.001). Differences in age, severity score, and comorbidities remained statistically significant in sensitivity analyses. Multivariable regression suggested that commercially supported trials were more likely to include patients with higher severity scores (p = 0.002), but after adjustment for study region and sepsis diagnosis inclusion in such trials was not significantly associated with age.

CONCLUSIONS

On average, trial participants were younger than the general sepsis patient population. Commercial support influenced patient selection. Efforts to understand and address the above-described patient disparities are necessary to improve the generalizability of RCT results.

TRIAL REGISTRATION

PROSPERO CRD42019145692.

Dapagliflozin Mitigates Hypotension in Lipopolysaccharide-Induced Acute Inflammation Independent of Glycemia Level

Sodium-glucose cotransporter-2 (SGLT2) inhibitors have been suggested to have anti-inflammatory properties in diabetes. The goal of this study was to evaluate the role of the SGLT2 inhibitor dapagliflozin (DAPA) in the attenuation of lipopolysaccharide (LPS)-induced hypotension. Male Wistar albino rats were divided into normal and diabetic groups and received DAPA (1 mg/kg/day) for two weeks followed by a single dose of 10 mg/kg LPS. Blood pressure was recorded throughout the study and the circulatory levels of cytokines were assessed using a multiplex array, while the aortas were harvested for analysis. DAPA attenuated the vasodilation and hypotension caused by LPS. Mean arterial pressure (MAP) was preserved in the normal and diabetic DAPA-treated septic groups (MAP = 83.17 ± 5.27, 98.43 ± 5.57 mmHg) compared to the vehicle-treated septic groups (MAP = 65.60 ± 3.31, 68.21 ± 5.88 mmHg). Most of the cytokines induced by LPS were decreased in the DAPA-treated septic groups. In the aorta, the inducible nitric oxide synthase-derived nitric oxide had lower expression in the DAPA-treated rats. In contrast, the expression of α-smooth muscle actin, a marker of the vessel's contractile state, was higher in the DAPA-treated rats in comparison with non-treated septic rats. These findings revealed that the protective role of DAPA against LPS-induced hypotension is likely to be glucose-lowering independent, as was observed in the non-diabetic septic group. Taken together, the results show that DAPA has a potential effect in the prevention of the hemodynamic disturbances of sepsis regardless of glycemia levels.

Causal associations between type 1 diabetes and COVID-19 infection and prognosis: a two-sample Mendelian randomization study

INTRODUCTION

It has been suggested that type 1 diabetes was associated with increased COVID-19 morbidity and mortality. However, their causal relationship is still unclear. Herein, we performed a two-sample Mendelian randomization (MR) to investigate the causal effect of type 1 diabetes on COVID-19 infection and prognosis.

RESEARCH DESIGN AND METHODS

The summary statistics of type 1 diabetes were obtained from two published genome-wide association studies of European population, one as a discovery sample including 15 573 cases and 158 408 controls, and the other data as a replication sample consisting of 5913 cases and 8828 controls. We first performed a two-sample MR analysis to evaluate the causal effect of type 1 diabetes on COVID-19 infection and prognosis. Then, reverse MR analysis was conducted to determine whether reverse causality exists.

RESULTS

MR analysis results showed that the genetically predicted type 1 diabetes was associated with higher risk of severe COVID-19 (OR=1.073, 95% CI: 1.034 to 1.114, p_FDR=1.15×10^-3) and COVID-19 death (OR=1.075, 95% CI: 1.033 to 1.119, p_FDR=1.15×10^-3). Analysis of replication dataset showed similar results, namely a positive association between type 1 diabetes and severe COVID-19 (OR=1.055, 95% CI: 1.029 to 1.081, p_FDR=1.59×10^-4), and a positively correlated association with COVID-19 death (OR=1.053, 95% CI: 1.026 to 1.081, p_FDR=3.50×10^-4). No causal association was observed between type 1 diabetes and COVID-19 positive, hospitalized COVID-19, the time to the end of COVID-19 symptoms in the colchicine treatment group and placebo treatment group. Reverse MR analysis showed no reverse causality.

CONCLUSIONS

Type 1 diabetes had a causal effect on severe COVID-19 and death after COVID-19 infection. Further mechanistic studies are needed to explore the relationship between type 1 diabetes and COVID-19 infection and prognosis.

Association Between Prehospital Blood Glucose Levels and Outcomes in Patients With COVID-19 Infection: A Retrospective Cohort Study

BACKGROUND

Hyperglycaemia is associated with worse outcomes in many settings. However, the association between dysglycaemia and adverse outcomes remains debated in COVID-19 patients. This study determined the association of prehospital blood glucose levels with acute medical unit (intensive care unit or high dependency unit) admission and mortality among COVID-19-infected patients.

METHODS

This was a single-centre, retrospective cohort study based on patients cared for by the prehospital medical mobile unit from a Swiss university hospital between March 2020 and April 2021. All adult patients with confirmed or suspected COVID-19 infection during the study period were included. Data were obtained from the prehospital medical files. The main exposure was prehospital blood glucose level. A 7.8 mmol/L cut-off was used to define high blood glucose level. Restricted cubic splines were also used to analyse the exposure as a continuous variable. The primary endpoint was acute medical unit admission; secondary endpoints were 7-day and 30-day mortality. Multivariable logistic regressions were performed to compute odds ratios.

RESULTS

A total of 276 patients were included. The mean prehospital blood glucose level was 8.8 mmol/l, and 123 patients presented high blood glucose levels. The overall acute medical unit admission rate was 31.2%, with no statistically significant difference according to prehospital blood glucose levels. The mortality rate was 13.8% at 7 days and 25% at 30 days. The 30-day mortality rate was higher in patients with high prehospital blood glucose levels, with an adjusted odds ratio of 2.5 (1.3-4.8).

CONCLUSIONS

In patients with acute COVID-19 infection, prehospital blood glucose levels do not seem to be associated with acute medical unit admission. However, there was an increased risk of 30-day mortality in COVID-19 patients who presented high prehospital blood glucose levels.

Optimal statin use for prevention of sepsis in type 2 diabetes mellitus

PURPOSE

To investigate the dose-dependent protective effects of statins, specific classes of statins, and different intensities of statin use on sepsis risk in patients with type 2 diabetes mellitus (T2DM).

METHODS

We included patients with T2DM aged  ≥ 40 years. Statin use was defined as the use of statin on most days for  > 1 months with a mean statin dose of  ≥ 28 cumulative defined daily doses (cDDDs) per year (cDDD-year). An inverse probability of treatment-weighted Cox hazard model was used to investigate the effects of statin use on sepsis and septic shock while considering statin use status as a time-dependent variable.

RESULTS

From 2008 to 2020, a total of 812 420 patients were diagnosed as having T2DM. Among these patients, 118,765 (27.79%) statin nonusers and 50 804 (12.03%) statin users developed sepsis. Septic shock occurred in 42,755 (10.39%) individuals who did not use statins and 16,765 (4.18%) individuals who used statins. Overall, statin users had a lower prevalence of sepsis than did nonusers. The adjusted hazard ratio (aHR) of statin use was 0.37 (95% CI 0.35, 0.38) for sepsis compared with no statin use. Compared with the patients not using statins, those using different classes of statins exhibited a more significant reduction in sepsis, with aHRs (95% CIs) of sepsis being 0.09 (0.05, 0.14), 0.32 (0.31, 0.34), 0.34 (0.32, 0.36), 0.35 (0.32, 0.37), 0.37 (0.34, 0.39), 0.42 (0.38, 0.44), and 0.54 (0.51, 0.56) for pitavastatin, pravastatin, rosuvastatin, atorvastatin, simvastatin, fluvastatin, and lovastatin use, respectively. In the patients with different cDDD-years of statins, multivariate analysis indicated a significant reduction in sepsis, with aHRs of 0.53 (0.52, 0.57), 0.40 (0.39, 0.43), 0.29 (0.27, 0.30), and 0.17 (0.15, 0.19) for Q1, Q2, Q3, and Q4 cDDD-years (P for trend < 0.0001). The optimal daily statin dose of 0.84 DDD was associated with the lowest aHR. Similar trends of higher cDDD-year and specific statin types use were associated with a decrease in septic shock when compared to statin non-users.

CONCLUSION

Our real-world evidence demonstrated that the persistent use of statins reduced sepsis and septic shock risk in patients with T2DM and a higher cDDD-year of statin use was associated with an increased reduction of sepsis and septic shock risk in these patients.

Differences in the post-stroke innate immune response between young and old

Aging is associated to progressive changes impairing fundamental cellular and tissue functions, and the relationships amongst them through the vascular and immune systems. Aging factors are key to understanding the pathophysiology of stroke since they increase its risk and worsen its functional outcome. Most currently recognised hallmarks of aging are also involved in the cerebral responses to stroke. Notably, age-associated chronic low-grade inflammation is related to innate immune responses highlighted by induction of type-I interferon. The interferon program is prominent in microglia where it interrelates cell damage, danger signals, and phagocytosis with immunometabolic disturbances and inflammation. Microglia engulfment of damaged myelin and cell debris may overwhelm the cellular capacity for waste removal inducing intracellular lipid accumulation. Acute inflammation and interferon-stimulated gene expression are also typical features of acute stroke, where danger signal recognition by microglia trigger immunometabolic alterations underscored by lipid droplet biogenesis. Aging reduces the capacity to control these responses causing increased and persistent inflammation, metabolic dysregulation, and impaired cellular waste disposal. In turn, chronic peripheral inflammation during aging induces immunosenescence further worsening stroke-induced immunodepression, thus increasing the risk of post-stroke infection. Aging also alters gut microbiota composition inducing dysbiosis. These changes are enhanced by age-related diseases, such as atherosclerosis and type-II diabetes, that further promote vascular aging, predispose to stroke, and exacerbate brain inflammation after stroke. Current advances in aging research suggest that some age-associated alterations may be reversed. Future work will unravel whether such evolving anti-aging research may enable designing strategies to improve stroke outcome in the elderly.

Insight on Infections in Diabetic Setting

The correlation between diabetes mellitus and infectious diseases is widely recognized. DM patients are characterized by the impaired function of the immune system. This translates into the occurrence of a variety of infections, including urinary tract, skin and surgical site infections, pneumonia, tuberculosis, and, more recently, SARS-CoV-2. Hyperglycemia has been identified as a relevant factor contributing to unfavorable outcomes in hospitalized patients including SARS-CoV-2 patients. Several studies have been performed proving that to maintain the proper and stringent monitoring of glycemia, a balanced diet and physical activity is mandatory to reduce the risk of infections and their associated complications. This review is focused on the mechanisms accounting for the increased susceptibility of DM patients to infections, with particular attention to the impact of newly introduced hypoglycemic drugs in sepsis management.

Predictors of outcomes in emergency department patients with suspected infections and without fulfillment of the sepsis criteria

BACKGROUND

Data on patient characteristics and determinants of serious outcomes for acutely admitted patients with infections who do not fulfill the sepsis criteria are sparse. The study aimed to characterize acutely admitted emergency department (ED) patients with infections and a composite outcome of in-hospital mortality or transfer to the intensive care unit without fulfilling the criteria for sepsis and to examine predictors of the composite outcome.

METHODS

This was a secondary analysis of data from a prospective observational study of patients with suspected bacterial infection admitted to the ED between October 1, 2017 and March 31, 2018. A National Early Warning Score 2 (NEWS2) ≥ 5 within the first 4 h in the ED was assumed to represent a sepsis-like condition with a high risk for the composite endpoint. Patients who achieved the composite outcome were grouped according to fulfillment of the NEWS2 ≥ 5 criteria. We used logistic regression analysis to estimate the unadjusted and adjusted odds ratio (OR) for the composite endpoint among patients with either NEWS2  < 5 (NEWS2-) or NEWS2  ≥ 5 (NEWS2+).

RESULTS

A total of 2055 patients with a median age of 73 years were included. Of these, 198 (9.6%) achieved the composite endpoint, including 59 (29.8%) NEWS2- and 139 (70.2%) NEWS2+ patients, respectively. Diabetes (OR 2.23;1.23-4.0), a Sequential Organ Failure Assessment (SOFA) score ≥ 2 (OR 2.57;1.37-4.79), and a Do-not-attempt-cardiopulmonary-resuscitation order (DNACPR) on admission (OR 3.70;1.75-7.79) were independent predictive variables for the composite endpoint in NEWS2- patients (goodness-of-fit test P = 0.291; area under the receiver operating characteristic curve for the model (AUROC) = 0.72). The regression model for NEWS2+ patients revealed that a SOFA score ≥ 2 (OR 2.79; 1.59-4.91), hypothermia (OR 2.48;1.30-4.75), and DNACPR order on admission were predictive variables for the composite endpoint (goodness-of-fit test P = 0.62; AUROC for the model = 0.70).

CONCLUSION

Approximately one-third of the patients with infections and serious outcomes during hospitalization did not meet the NEWS2 threshold for likely sepsis. Our study identified factors with independent predictive values for the development of serious outcomes that should be tested in future prediction models.

COVID-19 Induces Body Composition and Metabolic Alterations

Background Individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are highly susceptible to disease-related metabolic dysregulation given the hyperinflammatory immune response of coronavirus disease 2019 (COVID-19). These changes are remarkably involved in multiple steps in adipogenesis and lipolysis. This study aimed to elaborate on the significant relations of COVID-19 infection with body fat distribution, changes in serum insulin, and homeostasis model assessment-estimated insulin resistance (HOMA-IR) levels before and after the infection. Methods In this follow-up study, from July 2021 to September 2021, persons referred to a university-affiliated Nutrition Counselling Clinic were randomly selected for the study samples. Validated food frequency (FFQ) and physical activity questionnaires were completed. Body composition was assessed in this investigation. On the second visit, those who reported mild to moderate COVID-19 infection (without hospitalization) were selected as the case group and the asymptomatic individuals as the control group. All measurements were re-measured in the second visit. Results In a total of 441 patients, the mean age was 38.82±4.63 years. There were 224 (50.79%) male subjects, and 217 (49.20%) were females. There was a statistically significant difference in the longitudinal change in total fat percentage between subjects with and without COVID-19. Also, the difference in HOMA-IR before and after COVID-19 in case groups (both males and females) was statistically significant (P-value < 0.001). Moreover, serum insulin levels were significantly increased in all cases (P-value < 0.001), while remaining stable in control groups. When compared to their initial visit, COVID-19 patients' total fat percentage rose significantly (almost 2%) following a hypocaloric diet. Participants who were not infected with COVID-19 had a lower total fat percentage than those who were. Serum insulin and HOMA-IR levels increased significantly after infection compared to the primary measurements. Conclusion Individuals with COVID-19 infection may require tailored medical nutrition therapy to improve short and long-term COVID-19 outcomes such as muscle loss and fat accommodation.

Burden and mortality of sepsis and septic shock at a high-volume, single-center in Vietnam: a retrospective study

BACKGROUND

Sepsis and septic shock have high mortality rates and often require a prolonged hospital stay. Patient outcomes may vary according to multiple factors. We aim to determine the prevalence of antimicrobial resistance and factors associated with mortality and hospital stay.

METHODS

Clinical and microbiological data of patients with sepsis or septic shock were retrospectively collected for 15 months. Patients with negative blood cultures and patients that did not meet the SEPSIS 3 criteria were excluded.

RESULTS

We included 48 septic shock and 28 septic patients (mean APACHE II 20.32 ± 5.61 and mean SOFA 9.41 ± 3.17), with a mean age of 60.5 ± 16.8 years and 56.6% males. WBCs, neutrophils, INR, and fibrinogen levels were significantly associated with mortality. 59.5% of the cultured bacteria were gram-negative (most common E. coli) and 27.8% were gram-positive (most common S. aureus), while 7.6% were other types of bacteria and 5.1% were fungi. Resistance patterns to gram-negative were varying, and resistance to piperacillin/tazobactam, carbapenems, and aminoglycosides were from 60% to 100% (A. baumanii), while they were highly sensitive to Colistin. E. coli was also resistant to ceftriaxone (77.8%) and sulbactam/cefoperazone (44.4%). Resistance rates for Gram-positives were high, from 86% to 100% for oxacillin, while for vancomycin, teicoplanin, and linezolid, they were often low but arrived up to 42.8%. According to our logistic regression analysis, patients over 65 year-old and those who received corticosteroids had a significantly increased risk of in-hospital mortality (OR: 4.0; OR: 4.8).

CONCLUSION

Sepsis still poses a significant threat to patients' health, even when positive blood culture results allow the administration of specific antibiotic treatment.

The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool

Diabetes mellitus (DM) is a group of metabolic diseases marked by hyperglycemia, which increases the risk of systemic infections. DM patients are at greater risk of hospitalization and mortality from bacterial, viral, and fungal infections. Poor glycemic control can result in skin, blood, bone, urinary, gastrointestinal, and respiratory tract infections and recurrent infections. Therefore, the evidence that infections play a critical role in DM progression and the hazard ratio for a person with DM dying from any infection is higher. Early diagnosis and better glycemic control can help prevent infections and improve treatment outcomes. Perhaps, half (49.7%) of the people living with DM are undiagnosed, resulting in a higher frequency of infections induced by the hyperglycemic milieu that favors immune dysfunction. Novel diagnostic and therapeutic markers for glycemic control and infection prevention are desirable. High-throughput blood-based immunoassays that screen infections and hyperglycemia are required to guide timely interventions and efficiently monitor treatment responses. The present review aims to collect information on the most common infections associated with DM, their origin, pathogenesis, and the potential of immunoproteomics assays in the early diagnosis of the infections. While infections are common in DM, their role in glycemic control and disease pathogenesis is poorly described. Nevertheless, more research is required to identify novel diagnostic and prognostic markers to understand DM pathogenesis and management of infections. Precise monitoring of diabetic infections by immunoproteomics may provide novel insights into disease pathogenesis and healthy prognosis.

Systemic inflammation after stroke: implications for post-stroke comorbidities

Immunological mechanisms have come into the focus of current translational stroke research, and the modulation of neuroinflammatory pathways has been identified as a promising therapeutic approach to protect the ischemic brain. However, stroke not only induces a local neuroinflammatory response but also has a profound impact on systemic immunity. In this review, we will summarize the consequences of ischemic stroke on systemic immunity at all stages of the disease, from onset to long‐term outcome, and discuss underlying mechanisms of systemic brain‐immune communication. Furthermore, since stroke commonly occurs in patients with multiple comorbidities, we will also overview the current understanding of the potential role of systemic immunity in common stroke‐related comorbidities, such as cardiac dysfunction, atherosclerosis, diabetes, and infections. Finally, we will highlight how targeting systemic immunity after stroke could improve long‐term outcomes and alleviate comorbidities of stroke patients.

Evaluation of the Effect of Biochemistry Parameters on the Clinical Course in COVID-19 Patients Who Received Tocilizumab Treatment

OBJECTIVES

Patients who develop cytokine storm while they have coronavirus disease 2019 (COVID-19) experience more severe symptoms. This article aims to evaluate the effect of biochemical parameters on the clinical course of the disease in patients treated with tocilizumab (TCZ) due to cytokine storm.

METHODS

Medical documents of patients with COVID-19 were searched retrospectively. Patients who entered cytokine storm were classified as group 1 and divided into two subgroups as patients who were followed up in the ward and in the intensive care unit (ICU). Less severe COVID-19 patients who did not enter cytokine storm were included in the control group as group 2.

RESULTS

A total of 522 patients with COVID-19 infection were included in the study. The mean age was 62.0 ± 15.6 years, and the majority were male (64.4%). Hypertension and diabetes mellitus were the two most common diseases, seen in 50.8% and 29.9%, respectively. There were 392 patients with TCZ application (group 1) and 130 patients without TCZ (group 2). Significantly higher serum glucose, magnesium, and sodium and lower calcium levels were present in group 1 than in group 2 (<0.001). Hypocalcemia, hypernatremia, hypermagnesemia, and hyperkalemia were more frequently detected in the ICU compared with the patients treated in the wards (P = 0.001, P < 0.001, P = 0.039, and P < 0.001, respectively).

CONCLUSIONS

Following up closely electrolyte disturbances may support patient survival and decrease the probability of ICU necessity. This approach should be taken before the development of important disorders to be effective in the treatment process of the main disease.

Evaluation of peripheral blood polymorphonuclear cell functions after an oral carbohydrate overload in obese and insulin dysregulated horses

Obesity and insulin dysregulation (ID) are increasingly prevalent conditions in equid populations worldwide. Immune impairment is well described in humans with metabolic dysfunction and is reported but still incompletely understood in horses. This study evaluated the effect of acute induced transient hyperglycemia on apoptosis, phagocytosis and oxidative burst activity of peripheral blood polymorphonuclear cells (PMN) of lean and obese adult horses with or without insulin dysregulation. Seventeen adult horses were allocated into three groups based on their body condition score (BCS) and metabolic status: lean-insulin sensitive (lean-IS), obese-insulin sensitive (obese-IS) and obese-insulin dysregulated (obese-ID). ID was determined by insulin tolerance testing (ITT). Blood glucose elevation was induced through an infeed-oral glucose test (in-feed OGT), and all assessments of PMN functions (apoptosis, phagocytosis and oxidative burst) were done in vitro after isolation from peripheral blood before and 120 min after carbohydrate overload. Results were analyzed using a repeated measures linear mixed model with significance defined at P < 0.05. No differences in apoptosis were observed between experimental groups at any time point. Phagocytic capacity was significantly lower at baseline in the obese-ID group but increased in response to glucose administration when compared to the other two groups. Basal reactive oxygen species production in the obese-IS group differed significantly from the lean-IS and obese-ID groups and decreased significantly in response to glucose administration. Results from this study showed that both metabolic status itself, and oral glucose administration, seem to be factors that alter PMN functionality in horses, specifically phagocytosis and oxidative burst.

Monitoring of type 2 diabetic patients during the ‘Covid 19’ pandemic by teleconsultation

Introduction

Glycemic control in type 2 diabetic patients is a constant challenge. The objective of our study is to evaluate glycemic control in type 2 diabetic patients since the start of the "Covid-19" pandemic by comparing their glycemic and degenerative profiles in the pre-confinement,per and post-confinement periods.

Patients and methods

This is a descriptive and analytical,cross-sectional study,bringing together 720 type 2 diabetic patients followed by teleconsultation at the endocrinology,diabetology and nutrition department,from mid-March to mid-October 2020.

Results

The mean age of the patients was 62.5 ± 11.3 years, with a sex ratio (M / F) of 0.71,the average duration of diabetes was 10.6 ± 7, 4 years.The mean pre-lockdown Hba1c level was 8.5±1.9%.Only 137 patients have been able to do the HBa1c test since the start of lockdown,which averaged 8.4 ± 1.8%.Regarding the degenerative complications installed after containment,4.4% of the patients presented an acute coronary syndrome,2.2% a cerebrovascular accident,1.4% developed a stage 2 chronic renal disease,and a foot injury appeared in 5.1% of patients while no patient developed diabetic retinopathy among those who performed ophthalmic evaluation.In our series,the death rate was estimated at 1.8%.Drug therapy was adjusted in the majority of patients with initiation of insulin therapy in 7.2% of patients and intensification of insulin doses in 9.4% of patients.

Conclusion

At the heart of the pandemic Covid-19 crisis,teleconsultation has taken an essential place in the strategy of access to care, particularly the monitoring of chronic diseases,the results of our study are similar to those of other studies published during this pandemic.

•

Glycemic control in type 2 diabetic patients is a constant challenge, particularly in a pandemic situation.

•

At the heart of the Covid-19 pandemic crisis, teleconsultation has taken on an essential place in the access to care strategy.

•

In our study, the mean Hba1c level did not increase during the teleconsultation period.

Association of Pre-Existing Comorbidities with Disease Severity Among COVID-19 Patients in Eastern Ethiopia

Background

Comorbidities and advanced age increase the risk of severe outcomes of COVID-19. In order to shift the possible unfavorable treatment outcome in patients with chronic illnesses, information related to the prevalence of chronic illness and its effect on severity of COVID-19 infection has paramount importance.

Objective

This study was aimed at assessing the prevalence of comorbidities and associated severity among COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia.

Methods

An institution-based cross-sectional study design was employed among 422 COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia from April 10, 2020, to August 10, 2021. Binary logistic regression was fitted to identify comorbidities and other factors associated with severe clinical outcome, associations were presented with adjusted odds ratios (AORs) and 95% confidence intervals (CIs). In all analyses statistical significance were declared at p-value <0.05.

Results

More than half (52.4%) of the COVID-19 patients were presented with comorbid conditions. One third (34.6%) of the admitted COVID-19 patients were in severe clinical stages. Marital status (AOR=4.56; 95% CI: 1.40, 14.76), hypertension (AOR=2.08; 95% CI: 1.09, 3.97), diabetes mellitus (AOR=3.31; 95%:1.84, 5.98), and cardiovascular diseases (AOR=4.22; 95% CI: 2.18, 8.15) were identified as factors associated with severe clinical stages.

Conclusion

The comorbid conditions such as diabetes, hypertension, and cardiovascular diseases, and marital status were identified as significant predictors of severe outcomes of COVID-19. Therefore, identifying the people with chronic comorbidities as a risk group would help to anticipate and prevent the serious outcomes of COVID-19 infection.

Quantitative phosphoproteomics reveals diverse stimuli activate distinct signaling pathways during neutrophil activation

Neutrophils display functional heterogeneity upon responding diversely to physiological and pathological stimulations. During type 2 diabetes (T2D), hyperglycemia constitutively activates neutrophils, leading to reduced response to infections and on the other hand, elevated metabolic intermediates such as homocysteine induce bidirectional activation of platelets and neutrophils leading to thrombosis. Hence, in the context of T2D-associated complications, we examined the influence of high glucose, homocysteine, and LPS representing effector molecules of hyperglycemia, thrombosis, and infection, respectively, on human neutrophil activation to identify distinct signaling pathways by quantitative phosphoproteomics approach. High glucose activated C-Jun-N-Terminal Kinase, NTRK1, SYK, and PRKACA kinases associated with Rho GTPase signaling and phagocytosis, whereas LPS induced AKT1, SRPK2, CSNK2A1, and TTN kinases involved in cytokine signaling and inflammatory response. Homocysteine treatment led to activatation of  LRRK2, FGR, MAPK3, and PRKCD kinases which are associated with neutrophil degranulation and cytoskeletal remodeling. Diverse inducers differentially modulated phosphorylation of proteins associated with neutrophil functions such as oxidative burst, degranulation, extracellular traps, and phagocytosis. Further validation of phosphoproteomics data on selected kinases revealed neutrophils pre-cultured under high glucose showed impeded response to LPS to phosphorylate p-ERK1/2^{Thr202/Tyr204}, p-AKT^Ser473, and C-Jun-N-Terminal Kinase^Ser63 kinases. Our study provides novel phosphoproteome signatures that may be explored to understand neutrophil biology in T2D-associated complications.

Admission Blood Glucose Level and Its Association With Cardiovascular and Renal Complications in Patients Hospitalized With COVID-19

OBJECTIVE

To investigate the association between admission blood glucose levels and risk of in-hospital cardiovascular and renal complications.

RESEARCH DESIGN AND METHODS

In this multicenter prospective study of 36,269 adults hospitalized with COVID-19 between 6 February 2020 and 16 March 2021 (N = 143,266), logistic regression models were used to explore associations between admission glucose level (mmol/L and mg/dL) and odds of in-hospital complications, including heart failure, arrhythmia, cardiac ischemia, cardiac arrest, coagulation complications, stroke, and renal injury. Nonlinearity was investigated using restricted cubic splines. Interaction models explored whether associations between glucose levels and complications were modified by clinically relevant factors.

RESULTS

Cardiovascular and renal complications occurred in 10,421 (28.7%) patients; median admission glucose level was 6.7 mmol/L (interquartile range 5.8-8.7) (120.6 mg/dL [104.4-156.6]). While accounting for confounders, for all complications except cardiac ischemia and stroke, there was a nonlinear association between glucose and cardiovascular and renal complications. For example, odds of heart failure, arrhythmia, coagulation complications, and renal injury decreased to a nadir at 6.4 mmol/L (115 mg/dL), 4.9 mmol/L (88.2 mg/dL), 4.7 mmol/L (84.6 mg/dL), and 5.8 mmol/L (104.4 mg/dL), respectively, and increased thereafter until 26.0 mmol/L (468 mg/dL), 50.0 mmol/L (900 mg/dL), 8.5 mmol/L (153 mg/dL), and 32.4 mmol/L (583.2 mg/dL). Compared with 5 mmol/L (90 mg/dL), odds ratios at these glucose levels were 1.28 (95% CI 0.96, 1.69) for heart failure, 2.23 (1.03, 4.81) for arrhythmia, 1.59 (1.36, 1.86) for coagulation complications, and 2.42 (2.01, 2.92) for renal injury. For most complications, a modifying effect of age was observed, with higher odds of complications at higher glucose levels for patients age <69 years. Preexisting diabetes status had a similar modifying effect on odds of complications, but evidence was strongest for renal injury, cardiac ischemia, and any cardiovascular/renal complication.

CONCLUSIONS

Increased odds of cardiovascular or renal complications were observed for admission glucose levels indicative of both hypo- and hyperglycemia. Admission glucose could be used as a marker for risk stratification of high-risk patients. Further research should evaluate interventions to optimize admission glucose on improving COVID-19 outcomes.

Association of Glucagon-Like Peptide-1 Receptor Agonist vs Dipeptidyl Peptidase-4 Inhibitor Use With Mortality Among Patients With Type 2 Diabetes and Advanced Chronic Kidney Disease

IMPORTANCE

Glucagon-like peptide-1 (GLP-1) receptor agonist use is associated with reduced mortality and improved cardiovascular outcomes in the general population with diabetes. Dipeptidyl peptidase-4 (DPP-4) inhibitors are commonly used antidiabetic agents for patients with advanced-stage chronic kidney disease (CKD). The association of these 2 drug classes with outcomes among patients with diabetes and advanced-stage CKD or end-stage kidney disease (ESKD) is not well understood.

OBJECTIVE

To assess whether use of GLP-1 receptor agonists in a population with diabetes and advanced-stage CKD or ESKD is associated with better outcomes compared with use of DPP-4 inhibitors.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used data on patients with type 2 diabetes and stage 5 CKD or ESKD obtained from the National Health Insurance Research Database of Taiwan. The study was conducted between January 1, 2012, and December 31, 2018. Data were analyzed from June 2020 to July 2021.

EXPOSURES

Treatment with GLP-1 receptor agonists compared with treatment with DPP-4 inhibitors.

MAIN OUTCOMES AND MEASURES

All-cause mortality, sepsis- and infection-related mortality, and mortality related to major adverse cardiovascular and cerebrovascular events were compared between patients treated with GLP-1 receptor agonists and patients treated with DPP-4 inhibitors. Propensity score weighting was used to mitigate the imbalance among covariates between the groups.

RESULTS

Of 27 279 patients included in the study, 26 578 were in the DPP-4 inhibitor group (14 443 [54.34%] male; mean [SD] age, 65 [13] years) and 701 in the GLP-1 receptor agonist group (346 [49.36%] male; mean [SD] age, 59 [13] years). After weighting, the use of GLP-1 receptor agonists was associated with lower all-cause mortality (hazard ratio [HR], 0.79; 95% CI, 0.63-0.98) and lower sepsis- and infection-related mortality (HR, 0.61; 95% CI, 0.40-0.91). Subgroup analysis demonstrated a lower risk of mortality associated with use of GLP-1 receptor agonists compared with DDP-4 inhibitors among patients with cerebrovascular disease (HR, 0.33; 95% CI, 0.12-0.86) than among those without cerebrovascular disease (HR, 0.89; 95% CI, 0.71-1.12) (P = .04 for interaction).

CONCLUSIONS AND RELEVANCE

Treatment with GLP-1 receptor agonists was associated with lower all-cause mortality among patients with type 2 diabetes, advanced-stage CKD, and ESKD than was treatment with DPP-4 inhibitors. Additional well-designed, prospective studies are needed to confirm the potential benefit of GLP-1 receptor agonist treatment for patients with advanced CKD or ESKD.

Inhibition of the NADPH Oxidase Pathway Reduces Ferroptosis during Septic Renal Injury in Diabetic Mice

Background

Obesity and type 2 diabetes mellitus (DM) contribute to a higher mortality rate in patients with septic acute kidney injury (AKI) during sepsis. Reactive oxygen species (ROS) is the major injury factor for sepsis. This study was aimed at exploring the potential therapeutic drug for septic AKI targeting on ROS.

Methods

A murine septic AKI model was established in both wild-type and high-fat diet-fed (HFD) mice. NADPH oxidase inhibitor Vas2870 was used in vivo to explore the role of NADPH oxidase in ROS release in septic AKI in diabetic mice. Ferrostatin-1 was administered to investigate the role of ferroptosis in ROS accumulation during NADPH oxidase activating in septic AKI in diabetic mice.

Results

Compared to chow diet-fed mice, HFD diabetic mice which were subjected to LPS exhibited aggravated renal function (blood urea nitrogen, creatinine clearance, and serum cystatin C) and oxidative stress (malondialdehyde, 4-HNE, ROS, 8-OHdG, and NADPH oxidase), thus resulting in a higher mortality rate. Septic renal injury was significantly attenuated by the ferroptosis inhibitor Fer-1 in HFD-challenged mice. Furthermore, ferroptosis accumulation and related protein expression (ASCL4, FTH1, and GPX4) were altered by LPS stimulation in HFD-challenged mice and suppressed by NADPH oxidase inhibition via Vas2870 in vivo. In summary, NADPH inhibition restored septic renal function from injury by suppressing ferroptosis accumulation in HFD-challenged mice.

Conclusion

These results suggest that targeting NADPH-mediated ROS release and ferroptosis accumulation is a novel therapeutic strategy to protect the kidney from septic injury in patients with obesity and type 2 DM.

Cross-Cohort Microbiome Analysis of Salivary Biomarkers in Patients With Type 2 Diabetes Mellitus

Several studies have ascertained differences in salivary microbiota between patients with type 2 diabetes mellitus (T2DM) and healthy populations. However, the predictive accuracy and reproducibility of these 16S rRNA sequencing analyses when applied to other cohorts remain enigmatic. A comprehensive analysis was conducted on the included 470 samples from five researches in publicly available databases. The discrepancy and predictive accuracy of salivary microbiota between T2DM patients and healthy populations were evaluated from multiple perspectives, followed by the identification of salivary biomarkers for DM. Next, a classification model (areas under the curves = 0.92) was developed based on a large sample. The model could be used for clinical diagnosis and prognostic monitoring and as a basis for hypothesis-driven mechanistic researches. Furthermore, the research heterogeneity across geographic regions suggested that microbiological markers might not become a uniform clinical standard in human beings. They rather identify abnormal alterations under the microbiological characteristics of a specific population.

Glycemic Control and Risk of Sepsis and Subsequent Mortality in Type 2 Diabetes

OBJECTIVE

To investigate the nature of the relationship between HbA1c and sepsis among individuals with type 2 diabetes, and to assess the association between sepsis and all-cause mortality in such patients.

RESEARCH DESIGN AND METHODS

We included 502,871 individuals with type 2 diabetes recorded in the Swedish National Diabetes Register and used multivariable Cox regression and restricted cubic spline analyses to assess the association between time-updated HbA1c values and sepsis occurrence between 1 January 2005 and 31 December 2015. The association between sepsis and death was examined using multivariable Cox regression analysis.

RESULTS

Overall, 14,534 (2.9%) patients developed sepsis during the study period. On multivariable Cox regression analysis, compared with an HbA1c of 48-52 mmol/mol (6.5-6.9%), the adjusted hazard ratio for sepsis was 1.15 (95% CI 1.07-1.24) for HbA1c <43 mmol/mol (6.1%), 0.93 (0.87-0.99) for HbA1c 53-62 mmol/mol (7.0-7.8%), 1.05 (0.97-1.13) for HbA1c 63-72 mmol/mol (7.9-8.7%), 1.14 (1.04-1.25) for HbA1c 73-82 mmol/mol (8.8-9.7%), and 1.52 (1.37-1.68) for HbA1c >82 mmol/mol (9.7%). In the cubic spline model, a reduction of the adjusted risk was observed within the lower HbA1c range until 53 mmol/mol (7.0%), with a hazard ratio of 0.78 (0.73-0.82) per SD; it increased thereafter (P for nonlinearity <0.001). As compared with patients without sepsis, the adjusted hazard ratio for death among patients with sepsis was 4.16 (4.03-4.30).

CONCLUSIONS

In a nationwide cohort of individuals with type 2 diabetes, we found a U-shaped association between HbA1c and sepsis and a fourfold increased risk of death among those developing sepsis.

Perioperative glycemic status is linked to postoperative complications in non-intensive care unit patients with type-2 diabetes: a retrospective study

BACKGROUND

Perioperative hyperglycemia is a risk factor for postoperative complications in the general population. However, it has not been clarified whether perioperative hyperglycemia increases postoperative complications in patients with type-2 diabetes mellitus (T2D). Therefore, we aimed to analyze the relationship between perioperative glycemic status and postoperative complications in non-intensive care unit (non-ICU) hospitalized patients with T2D.

MATERIALS AND METHODS

Medical records of 1217 patients with T2D who were admitted to the non-ICU in our hospital were analyzed retrospectively. Relationships between clinical characteristics including perioperative glycemic status and postoperative complications were assessed using univariate and multivariate analyses. Perioperative glycemic status was evaluated by calculating the mean, standard deviation (SD), and coefficient of variation (CV) of blood glucose (BG) measurements in preoperative and postoperative periods for three contiguous days before and after surgery, respectively. Postoperative complications were defined as infections, delayed wound healing, postoperative bleeding, and/or thrombosis.

RESULTS

Postoperative complications occurred in 139 patients (11.4%). These patients showed a lower BG immediately before surgery (P = 0.04) and a higher mean postoperative BG (P = 0.009) than those without postoperative complications. There were no differences in the other perioperative BG parameters including BG variability and the frequency of hypoglycemia. The multivariate analysis showed that BG immediately before surgery (adjusted odds ratio (95% confidence interval [CI]), 0.91 (0.85-0.98), P = 0.01) and mean postoperative BG (1.11 (1.05-1.18), P < 0.001) were independently associated with postoperative complications.

CONCLUSION

Perioperative glycemic status, that is, a low BG immediately before surgery and a high mean postoperative BG, are associated with the increased incidence of postoperative complications in non-ICU patients with T2D.

Divergent Sepsis Pathophysiology in Older Adults

Significance: Both incidence and mortality rates of sepsis significantly increase with advanced age, and the majority of sepsis patients are late middle-aged or older. With the proportion of older adults rapidly increasing in developed countries, age-dependent sepsis vulnerability is an urgent medical issue. Due to an increasing life expectancy, postsepsis complications and health care costs are expected to increase as well. Recent Advances: Older patients suffer from higher sepsis incidence and mortality rates, likely resulting from frequent comorbidities, increased coagulation, dysgylcemia, and altered immune responses. Critical Issues: Despite a large number of ongoing clinical and basic research studies, there is currently no effective therapeutic strategy targeting older patients with severe sepsis. The disparity between clinical and basic studies is a problem, and this is largely due to the use of animal models lacking clinical relevance. Although the majority of sepsis cases occur in older adults, most laboratory animals used for sepsis research are very young. Further, despite the wide use of combination fluid and antibiotic treatment in intensive care unit (ICU) patients, most animal research does not include such treatment. Future Directions: Because sepsis is a systemic disease with multiple organ dysfunction, combined therapy approaches, not those targeting single pathways or single organs, are essential. As for preclinical research, it is critical to confirm new findings using aged animal models with clinically relevant ICU-like medical treatments. Antioxid. Redox Signal. 35, 1358-1375.

Admission Blood Glucose Is Associated With the 30-Days Mortality in Septic Patients: A Retrospective Cohort Study

Background: Sepsis, as one of the severe diseases, is frequently observed in critically ill patients, especially concurrent with diabetes. Whether admission blood glucose is associated with the prognosis, and outcome of septic patients is still debatable.

Methods: We retrospectively reviewed and analyzed the demographic characteristics of septic patients in the Medical Information Mart for Intensive Care III (MIMIC III, version 1.4) between June 2001 and October 2012. The Chi-square and Fisher's exact tests were used for the comparison of qualitative variables among septic patients with different glucose levels and the 30-day mortality in septic patients with diabetes or not. Univariate and stepwise multivariate Cox regression analyses were used to determine the risk factors for 30-day mortality. Kaplan-Meier analysis was conducted to reveal the different 30-day survival probabilities in each subgroup.

Results: A total of 2,948 septic patients (910 cases with diabetes, 2,038 cases without diabetes) were ultimately included in the study. The 30-day mortality was 32.4% (956/2,948 cases) in the overall population without any difference among diabetic and non-diabetic septic patients (p = 1.000). Admission blood glucose levels <70 mg/dl were only observed to be significantly associated with the 30-day mortality of septic patients without diabetes (hazard ratio (HR) = 2.48, p < 0.001). After adjusting for confounders, age >65 years (HR = 1.53, p = 0.001), the Sequential Organ Failure Assessment (SOFA) score >5 (HR = 2.26, p < 0.001), lactic acid >2 mmol/L (Lac, HR = 1.35, p = 0.024), and platelet abnormality (<100 k/ul: HR = 1.49; >300 k/ul: HR = 1.36, p < 0.001) were the independent risk factors for 30-day mortality in septic patients with diabetes. In non-diabetes population, age >65 years (HR = 1.53, p < 0.001), non-White or non-Black patients (HR = 1.30, p = 0.004), SOFA score >5 (HR = 1.56, p < 0.001), blood glucose <70 mg/dl (HR = 1.91, p = 0.003), anion gap (AG) >2 mmol/L (HR = 1.60, p < 0.001), Lac (HR = 1.61, p < 0.001), urea nitrogen >21 mg/dl (HR = 1.45, p = 0.001), alanine aminotransferase (ALT, HR = 1.31, p = 0.009), total bilirubin >1.2 mg/dl (HR = 1.20, p = 0.033), and low hemoglobin (HR = 1.34, p = 0.001) were the independent risk factors for 30-day mortality.

Conclusions: Our results indicate admission blood glucose, especially in terms of <70 mg/dl, is the key signaling in predicting the worse 30-day survival probability of septic patients without diabetes, which could help clinicians to make a more suitable and precise treatment modality in dealing with septic patients.

Application of Peak Glucose Range and Diabetes Status in Mortality Risk Stratification in Critically Ill Patients with Sepsis

The effects of diabetes and glucose on the outcomes of patients with sepsis are somewhat conflicting. This retrospective study enrolled 1214 consecutive patients with sepsis, including a subpopulation of 148 patients with immune profiles. The septic patients were stratified according to their Diabetes mellitus (DM) status or peak glucose level (three-group tool; P1: ≤140 mg/dL, P2: 141–220 mg/dL, P3: >220 mg/dL) on day 1. Although the DM group had a lower hazard ratio (HR) for 90-day mortality compared to non-DM patients, the adjusted HRs were insignificant. The modified sequential organ failure assessment-glucose (mSOFA-g) score can predict 90-day survival in patients with and without diabetes (β = 1.098, p < 0.001; β = 1.202, p < 0.001). The goodness of fit of the mSOFA-g score was 5% higher than the SOFA score of the subgroup without diabetes. The SOFA score and human leukocyte antigen-D-related (HLA-DR) expression were comparable between the groups. The P3 group had lower HLA-DR expression on days 1 and 3 and a higher 90-day mortality. The three-group tool was useful for predicting 90-day mortality in patients with separate Kaplan-Meier survival curves and mortality HRs in the construction and validation cohorts. The peak glucose level, instead of diabetes status, can be used as an easy adjunctive tool for mortality risk stratification in critically ill septic patients.

Type 2 diabetes mellitus and sepsis: state of the art, certainties and missing evidence

Diabetes and sepsis are important causes of morbidity and mortality worldwide, and diabetic patients represent the largest population experiencing post-sepsis complications and rising mortality. Dysregulated immune pathways commonly found in both sepsis and diabetes contribute to worsen the host response in diabetic patients with sepsis. The impact of diabetes on mortality from sepsis is still controversial. Whereas a substantial proportion of severe infections can be attributed to poor glycemic control, treatment with insulin, metformin and thiazolidinediones may be associated with lower incidence and mortality for sepsis. It has been suggested that chronic exposure to high glucose might enhance immune adaptation, leading to reduced mortality rate in septic diabetic patients. On the other hand, higher risk of acute kidney injury has been extensively documented and a suggested lower risk of acute respiratory distress syndrome has been recently questioned. Additional investigations are ongoing to confirm the protective role of some anti-diabetic treatments, the occurrence of acute organ dysfunction, and the risk/benefit of less stringent glycemic control in diabetic patients experiencing sepsis. Based on a MEDLINE/PubMed search from inception to December 31, 2020, the aim of this review is therefore to summarize the strengths and weaknesses of current knowledge on the interplay between diabetes and sepsis.