The association of admission blood glucose level with the clinical picture and prognosis in cardiogenic shock - Results from the CardShock Study

Association between short-term systemic use of glucocorticoids and prognosis of cardiogenic shock: a retrospective analysis

OBJECTIVE

To investigate the prescription rate of short-term systemic use of glucocorticoids during hospitalization in patients with cardiogenic shock (CS), and outcomes related with glucocorticoid use.

METHODS

We extracted patients' information from the Medical Information Mart for Intensive Care IV version 2.0 (MIMIC-IV v2.0) database. The primary endpoint was 90-day all-cause mortality. Secondary safety endpoints were infection identified by bacterial culture and at least one episode of hyperglycemia after ICU admission. Propensity score matching (PSM) was used to balance baseline characteristics. The difference in cumulative mortality rate between these treated with and without glucocorticoids was assessed by Kaplan-Meier curve with log-rank test. Independent risk factors for endpoints were identified by Cox or Logistic regression analysis.

RESULTS

A total of 1528 patients were enrolled, and one-sixth of these patients received short-term systemic therapy of glucocorticoids during hospitalization. These conditions, including rapid heart rate, the presence of rheumatic disease, chronic pulmonary disease and septic shock, high lactate level, the requirements of mechanical ventilation and continuous renal replacement therapy, were associated with an increase in glucocorticoid administration (all P ≤ 0.024). During a follow-up of 90 days, the cumulative mortality rate in patients treated with glucocorticoids was significantly higher than that in these untreated with glucocorticoids (log-rank test, P < 0.001). Multivariable Cox regression analysis showed that glucocorticoid use (hazard ratio 1.48, 95% confidence interval [CI] 1.22-1.81; P < 0.001) was independently associated with an increased risk for 90-day all-cause mortality. This result was consistent irrespective of age, gender, the presence of myocardial infarction, acute decompensated heart failure and septic shock, and inotrope therapy, but was more evident in low-risk patients as assessed by ICU scoring systems. Additionally, multivariable Logistic regression analysis showed that glucocorticoid exposure was an independent predictor of hyperglycemia (odds ratio 2.14, 95% CI 1.48-3.10; P < 0.001), but not infection (odds ratio 1.23, 95% CI 0.88-1.73; P = 0.221). After PSM, glucocorticoid therapy was also significantly related with increased risks of 90-day mortality and hyperglycemia.

CONCLUSIONS

Real-world data showed that short-term systemic use of glucocorticoids was common in CS patients. Importantly, these prescriptions were associated with increased risks of adverse events.

Pharmacological treatment of cardiogenic shock - A state of the art review

Cardiogenic shock is a clinical syndrome of impaired tissue perfusion caused by primary cardiac dysfunction and inadequate cardiac output. It represents one of the most lethal clinical conditions in intensive care medicine with mortality >40%. Management of different clinical presentations of cardiogenic shock includes guidance of cardiac preload, afterload, heart rate and contractility by differential pharmacological modulation of volume, systemic and pulmonary vascular resistance and cardiac output besides reversing the triggering cause. Data from large registries and randomized controlled trials on optimal diagnostic guidance as well as choice of pharmacological agents has accrued significantly in recent years. This state-of-the-art review summarizes the basic concepts of cardiogenic shock, the diagnostic work-up and currently available evidence and guideline recommendations on pharmacological treatment of cardiogenic shock.

Impact of diabetes on outcomes of cardiogenic shock: A systematic review and meta-analysis

To provide synthesized evidence on the association of diabetes with clinical outcomes of patients with acute myocardial infarction (AMI) and associated cardiogenic shock (CS). We analyzed observational studies on patients with AMI and CS, identified through a systematic search using PubMed and Scopus databases. The main outcome was mortality and other outcomes of interest were risk of major bleeding, re-infarction, cerebrovascular adverse events, and need for revascularization. We conducted the meta-analysis with data from 15 studies. Compared to patients without diabetes, those with diabetes had an increased risk of in-hospital mortality (OR, 1.34; 95% CI, 1.17-1.54) and cerebrovascular complications (OR, 1.28; 95% CI, 1.11-1.48). We found similar risk of major bleeding (OR, 0.68; 95% CI, 0.43-1.09), re-infarction (OR, 0.98; 95% CI, 0.48-1.98) and need for re-vascularization (OR, 0.96; 95% CI, 0.75-1.22) as well as hospital stay lengths (in days) (WMD 0.00; 95% CI, -0.27-0.28; n = 4; I² = 99.7%) in the two groups of patients. Patients with diabetes, acute MI and associated cardiogenic shock have increased risks of mortality and adverse cerebrovascular events than those without diabetes.

Prognostic Impact of Plasma Glucose on Patients With Cardiogenic Shock With or Without Diabetes Mellitus from the SMART RESCUE Trial

Although the presence of hyperglycemia has been shown to affect the clinical outcome of patients with cardiogenic shock, the extent of hyperglycemia and its association with prognosis have not been fully addressed in a large population. A total of 1,177 consecutive patients with cardiogenic shock were enrolled from January 2014 to December 2018 at 12 hospitals in South Korea. The primary outcome was in-hospital mortality. Patients were divided into 4 groups according to their initial plasma glucose level in patients with diabetes mellitus (DM) (n = 752) and patients without DM (n=425); group 1 (≤8 mmol/L or 144 mg/100 ml), group 2 (8 to 12 mmol/L or 144 to 216 mg/100 ml), group 3 (12 to 16 mmol/L or 216 to 288 mg/100 ml), and group 4 (≥16 mmol/L or 288 mg/100 ml). The groups with higher admission plasma glucose were associated with lower systolic blood pressure and higher lactic acid levels in patients with and without DM. In-hospital mortality increased in groups with higher admission plasma glucose level in patients without DM (group 1:24.2%, group 2: 28.6%, group 3: 38.1%, group 4: 49.0%, p <0.01), whereas in patients with DM, mortality and admission plasma glucose level showed no significant association (group 1: 45%, group 2: 35.4%, group 3: 33.3%, group 4: 43.1%, p = 0.26). Even after multivariate analysis, high plasma glucose was an independent predictor of in-hospital mortality in patients without DM. In patients with cardiogenic shock, plasma glucose obtained at admission was associated with in-hospital mortality in patients without DM.

Early Prediction of Cardiogenic Shock Using Machine Learning

Cardiogenic shock (CS) is a severe condition with in-hospital mortality of up to 50%. Patients who develop CS may have previous cardiac history, but that may not always be the case, adding to the challenges in optimally identifying and managing these patients. Patients may present to a medical facility with CS or develop CS while in the emergency department (ED), in a general inpatient ward (WARD) or in the critical care unit (CC). While different clinical pathways for management exist once CS is recognized, there are challenges in identifying the patients in a timely manner, in all settings, in a timeframe that will allow proper management. We therefore developed and evaluated retrospectively a machine learning model based on the XGBoost (XGB) algorithm which runs automatically on patient data from the electronic health record (EHR). The algorithm was trained on 8 years of de-identified data (from 2010 to 2017) collected from a large regional healthcare system. The input variables include demographics, vital signs, laboratory values, some orders, and specific pre-existing diagnoses. The model was designed to make predictions 2 h prior to the need of first CS intervention (inotrope, vasopressor, or mechanical circulatory support). The algorithm achieves an overall area under curve (AUC) of 0.87 (0.81 in CC, 0.84 in ED, 0.97 in WARD), which is considered useful for clinical use. The algorithm can be refined based on specific elements defining patient subpopulations, for example presence of acute myocardial infarction (AMI) or congestive heart failure (CHF), further increasing its precision when a patient has these conditions. The top-contributing risk factors learned by the model are consistent with existing clinical findings. Our conclusion is that a useful machine learning model can be used to predict the development of CS. This manuscript describes the main steps of the development process and our results.

Association between stress hyperglycemia on admission and unfavorable neurological outcome in OHCA patients receiving ECPR

BACKGROUND

Stress hyperglycemia is a normal response to stress and has been associated with outcomes in out-of-hospital cardiac arrest (OHCA) patients. However, this association remained unknown in OHCA patients receiving extracorporeal cardiopulmonary resuscitation (ECPR). This study aimed to examine the association between degree of stress hyperglycemia on admission and neurological outcomes at discharge in OHCA patients receiving ECPR.

PATIENTS AND METHODS

This was a retrospective cohort study of adult OHCA patients receiving ECPR between 2011 and 2021. Patients were classified into three groups: absence of stress hyperglycemia (blood glucose level on admission < 200 mg/dL), moderate stress hyperglycemia (200-299 mg/dL), and severe stress hyperglycemia (≥ 300 mg/dL). The primary outcome was unfavorable neurological outcome (Cerebral Performance Category: 3-5) at discharge.

RESULTS

This study included 160 patients; unfavorable neurological outcomes totaled 79.4% (n = 127). There were 23, 52, and 85 patients in the absence, moderate, and severe stress hyperglycemia groups, respectively. Of each group, unfavorable neurological outcomes constituted 91.3%, 71.2%, and 81.2%, respectively. Multivariable analysis showed that, compared with moderate stress hyperglycemia, absence of stress hyperglycemia on admission was significantly associated with unfavorable neurological outcome at discharge (odds ratio [OR], 4.70; 95% confidence interval [CI], 1.07-33.35; p = 0.039).

CONCLUSION

Compared with moderate stress hyperglycemia on admission, absence of stress hyperglycemia showed significant association with unfavorable neurological outcome at discharge in OHCA patients receiving ECPR.

Outcomes in cardiogenic shock: the role of surrogate endpoints

PURPOSE OF REVIEW

Early revascularization, invasive hemodynamic profiling, and initiation of temporary mechanical circulatory support (MCS) have all become routine components of cardiogenic shock (CS) management. Despite this evolution in clinical practice, patient selection and timing of treatment initiation remain a significant barrier to achieving sustained improvement in CS outcomes. Recent efforts to standardize CS management, through the development of treatment algorithms, have relied heavily on surrogate endpoints to drive therapeutic decisions. The present review aims to provide an overview of the basis of evidence for those surrogate endpoints commonly employed in clinical trials and CS management algorithms.

RECENT FINDINGS

Recent publications from both observational and randomized cohorts have demonstrated the utility of surrogate endpoints in risk stratifying patients with CS. In particular, invasive hemodynamics using pulmonary artery catheters to guide initiation and weaning of MCS, biochemical markers that portend imminent end-organ failure, and clinical risk scores that combine multiple hemodynamic and laboratory parameters have demonstrated an ability to prognosticate outcomes in patients with CS.

SUMMARY

Although further validation is necessary, multiple clinical, hemodynamic, and biochemical markers have demonstrated utility as surrogate endpoints in CS, and will undoubtedly assist physicians in clinical decision-making.

Evaluation of risk factors and correlation in large sample from the perspective of hypoglycemia

To further clarify the correlation between glucose and other biochemical indicators, to search the risk factors of hypoglycemia through a cross-sectional study. Data were obtained from subjects who underwent health examination in the Health Promotion Center from July 2018 to June 2019. Hypoglycemia is defined as fasting blood glucose less than 4.2 mmol/L. All data were analyzed using Windows R software. A total of 23,935 subjects were included. There were significant differences in age, BMI, waist circumference, blood pressure, glucose, lipid, thyroid function, liver function, and kidney function between men and women (p < .05). The occurrence of hypoglycemia was affected by gender and nondiabetic patients (p < .001). In nondiabetic patients, hypoglycemia was affected by age (p < .05). For each year of age increase, the risk of hypoglycemia was reduced by 2.6%; the risk of hypoglycemia decreased by 3.7% when the waist circumference increased by 1 cm; the risk of hypoglycemia increased by 30.3% with each unit of TG increased; the risk of hypoglycemia decreased by 66.1% for each unit increased by TC; the risk of hypoglycemia increased by 1.715 times for each increased unit of HDLC; the risk of hypoglycemia increased by 1.185 times for each unit of LDLC. Women and nondiabetic people are more likely to have hypoglycemia. Among the group without diabetes, diastolic blood pressure, triglyceride, HDLC, and LDLC are risk factors of hypoglycemia.

Admission Blood Glucose in the Emergency Department is Associated with Increased In-Hospital Mortality in Nontraumatic Critically Ill Patients

BACKGROUND

Abnormal admission blood glucose was reported as a useful predictor of outcome in critically ill patients.

OBJECTIVES

To identify patients at higher risk, this study aimed to evaluate the relationship between admission blood glucose levels and patient mortality during the management of nontraumatic critically ill patients in the emergency department (ED).

METHODS

In this prospective, single-center observational study in a German university ED, all adult patients admitted to the resuscitation room of the ED were included between September 1, 2014 and August 31, 2015. Directly after resuscitation room admission, blood samples for admission blood glucose were taken, and adult patients were divided into groups according to predefined cut-offs between the admission blood glucose. Study endpoint was in-hospital mortality.

RESULTS

During the study period, 532 patients were admitted to the resuscitation room. The data of 523 patients (98.3%) were available for analysis. The overall in-hospital mortality was 34.2%. In comparison with an in-hospital mortality of 25.2% at an admission blood glucose of 101-136 mg/dL (n = 107), admission blood glucose of ≤ 100 mg/dL (n = 25, odds ratio [OR] 6.30, 95% confidence interval [CI] 2.44-16.23, p < 0.001), 272-361 mg/dL (n = 63, OR 2.53, 95% CI 1.31-4.90, p = 0.007), and ≥ 362 mg/dL (n = 44, OR 2.96, 95% CI 1.42-6.18, p = 0.004) were associated with a higher mortality.

CONCLUSIONS

Abnormal admission blood glucose is associated with a high in-hospital mortality. Admission blood glucose is an inexpensive and rapidly available laboratory parameter that may predict mortality and help to identify critically ill patients at risk in a general nontraumatic critically ill ED patient cohort. The breakpoint for in-hospital mortality may be an admission blood glucose ≤ 100 and ≥ 272 mg/dL.

Clinical Characteristics and Predictors of In-Hospital Mortality in Patients With Cardiogenic Shock: Results From the RESCUE Registry

BACKGROUND

In the current era of mechanical circulatory support, limited data are available on prognosis of cardiogenic shock (CS) caused by various diseases. We investigated the characteristics and predictors of in-hospital mortality in Korean patients with CS.

METHODS

The RESCUE study (Retrospective and Prospective Observational Study to Investigate Clinical Outcomes and Efficacy of Left Ventricular Assist Device for Korean Patients With CS) is a multicenter, retrospective, and prospective registry of patients that presented with CS. Between January 2014 and December 2018, 1247 patients with CS were enrolled from 12 major centers in Korea. The primary outcome was in-hospital mortality.

RESULTS

In-hospital mortality rate was 33.6%. The main causes of shock were ischemic heart disease (80.7%), dilated cardiomyopathy (6.1%), myocarditis (3.2%), and nonischemic ventricular arrhythmia (2.5%). Vasopressors were used in 1081 patients (86.7%). The most frequently used vasopressor was dopamine (63.4%) followed by norepinephrine (57.3%). An intraaortic balloon pump was used in 314 patients (25.2%) and extracorporeal membrane oxygenator in 496 patients (39.8%). In multivariable analysis, age ≥70years (odds ratio [OR], 2.73 [95% CI, 1.89-3.94], P<0.001), body mass index <25 kg/m² (OR, 1.52 [95% CI, 1.08-2.16], P=0.017), cardiac arrest at presentation (OR, 2.16 [95% CI, 1.44-3.23], P<0.001), vasoactive-inotrope score >80 (OR, 3.55 [95% CI, 2.54-4.95], P<0.001), requiring continuous renal replacement therapy (OR, 4.14 [95% CI, 2.88-5.95], P<0.001), mechanical ventilator (OR, 3.17 [95% CI, 2.16-4.63], P<0.001), intraaortic balloon pump (OR, 1.55 [95% CI, 1.07-2.24], P=0.020), and extracorporeal membrane oxygenator (OR, 1.85 [95% CI, 1.25-2.76], P=0.002) were independent predictors for in-hospital mortality.

CONCLUSIONS

The in-hospital mortality of patients with CS remains high despite the high utilization of mechanical circulatory support. Age, low body mass index, cardiac arrest at presentation, amount of vasopressor, and advanced organ failure requiring various support devices were poor prognostic factors for in-hospital mortality. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02985008.

Admission blood glucose level and outcome in patients requiring venoarterial extracorporeal membrane oxygenation

Background

Patients with cardiogenic shock or cardiac arrest undergoing venoarterial extracorporeal membrane oxygenation (V-A ECMO) frequently present with blood glucose levels out of normal range. The clinical relevance of such findings in the context of V-A ECMO is unknown. We therefore investigated the prognostic relevance of blood glucose at time of cannulation for V-A ECMO.

Methods

We conducted a single-center retrospective registry study. All patients receiving V-A ECMO from October 2010 to January 2020 were included if blood glucose level at time of cannulation were documented. Patients were divided in five groups according to the initial blood glucose level ranging from hypoglycemic (< 80 mg/dl), normoglycemic (80–140 mg/dl), to mild (141-240 mg/dl), moderate (241–400 mg/dl), and severe (> 400 mg/dl) hyperglycemia, respectively. Clinical presentation, arterial blood gas analysis, and survival were compared between the groups.

Results

392 patients met inclusion criteria. Median age was 62 years (51.5–70.0), SAPS II at admission was 54 (43.5–63.0), and 108/392 (27.6%) were female. 131/392 were discharged alive (hospital survival 33.4%). At time of cannulation, survivors had higher pH, hemoglobin, calcium, bicarbonate but lower potassium and lactate levels compared to non-survivors (all p < 0.01). Outcome of patients diagnosed with particularly high (> 400 mg/dl) and low (< 80 mg/dl) blood glucose at time of V-A ECMO cannulation, respectively, was worse compared to patients with normoglycemic, mildly or moderately elevated values (p = 0.02). Glucose was independently associated with poor outcome after adjustment for other predictors of survival and persisted in all investigated subgroups.

Conclusion

Arterial blood glucose at time of V-A ECMO cannulation predicts in-hospital survival of patients with cardiac shock or after ECPR. Whether dysglycemia represents a potential therapeutic target requires further evaluation in prospective studies.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s00392-021-01862-7.

Stepwise lactate kinetics in critically ill patients: prognostic, influencing factors, and clinical phenotype

Background

To investigate the optimal target e of lactate kinetics at different time during the resuscitation, the factors that influence whether the kinetics achieve the goals, and the clinical implications of different clinical phenotypes.

Methods

Patients with hyperlactatemia between May 1, 2013 and December 31, 2018 were retrospectively analyzed. Demographic data, basic organ function, hemodynamic parameters at ICU admission (T0) and at 6 h, 12 h, 24 h, 48 h, and 72 h, arterial blood lactate and blood glucose levels, cumulative clinical treatment conditions at different time points and final patient outcomes were collected.

Results

A total of 3298 patients were enrolled, and the mortality rate was 12.2%. The cutoff values of lactate kinetics for prognosis at 6 h, 12 h, 24 h, 48 h, and 72 h were 21%, 40%, 57%, 66%, and 72%. The APACHE II score, SOFA score, heart rate (HR), and blood glucose were risk factors that correlated with whether the lactate kinetics attained the target goal. Based on the pattens of the lactate kinetics, eight clinical phenotypes were proposed. The odds ratios of death for clinical phenotypes VIII, IV, and II were 4.39, 4.2, and 5.27-fold of those of clinical phenotype I, respectively.

Conclusion

Stepwise recovery of lactate kinetics is an important resuscitation target for patients with hyperlactatemia. The APACHE II score, SOFA score, HR, and blood glucose were independent risk factors that influenced achievement of lactate kinetic targets. The cinical phenotypes of stepwise lactate kinetics are closely related to the prognosis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12871-021-01293-x.

Serum Lactate and A Relative Change in Lactate as Predictors of Mortality in Patients With Cardiogenic Shock - Results from the Cardshock Study

INTRODUCTION

Cardiogenic shock complicating acute myocardial infarction has a very high mortality. Our present study focuses on serial measurement of lactate during admission due to cardiogenic shock and the prognostic effect of lactate and a relative change in lactate in patients after admission and the institution of intensive care treatment.

METHODS AND RESULTS

This is a secondary analysis of the CardShock study. Data on lactate at baseline were available on 217 of 219 patients.In the study population, the median baseline lactate was 2.8 mmol/L (min-max range, 0.5-23.1 mmol/L).At admission, lactate was predictive of 30-day mortality with an adjusted Hazard ratio (HR) of 1.20 mmol/L (95% confidence interval, CI 1.14-1.27). Within the first 24 h of admission, baseline lactate remained predictive of 30-day mortality. Lactate at 6 h had a HR of 1.14 (95% CI 1.06-1.24) and corresponding values at 12 and 24 h had a HR of 1.10 (1.04-1.17), and of HR 1.19 (95% CI 1.07-1.32), respectively. A 50% reduction in lactate within 6 h resulted in a HR of 0.82 (95% CI 0.72-0.94). Corresponding hazard ratios at 12 and 24 h, were 0.87 (95% CI 0.76-0.98) and 0.74 (95% CI 0.60-0.91), respectively.

CONCLUSION

The main findings of the present study are that baseline lactate is a powerful predictor of 30-day mortality, lactate at 6, 12, and 24 h after admission are predictors of 30-day mortality, and a relative change in lactate is a significant predictor of survival within the first 24 h after instituting intensive care treatment adding information beyond the information from baseline values.

Stress hyperglycemia, cardiac glucotoxicity, and critically ill patient outcomes current clinical and pathophysiological evidence

Stress hyperglycemia is a transient increase in blood glucose during acute physiological stress in the absence of glucose homeostasis dysfunction. Its's presence has been described in critically ill patients who are subject to many physiological insults. In this regard, hyperglycemia and impaired glucose tolerance are also frequent in patients who are admitted to the intensive care unit for heart failure and cardiogenic shock. The hyperglycemia observed at the beginning of these cardiac disorders appears to be related to a variety of stress mechanisms. The release of major stress and steroid hormones, catecholamine overload, and glucagon all participate in generating a state of insulin resistance with increased hepatic glucose output and glycogen breakdown. In fact, the observed pathophysiological response, which appears to regulate a stress situation, is harmful because it induces mitochondrial impairment, oxidative stress-related injury to cells, endothelial damage, and dysfunction of several cellular channels. Paradigms are now being challenged by growing evidence of a phenomenon called glucotoxicity, providing an explanation for the benefits of lowering glucose levels with insulin therapy in these patients. In the present review, the authors present the data published on cardiac glucotoxicity and discuss the benefits of lowering plasma glucose to improve heart function and to positively affect the course of critical illness.

Clinical Implications of Thrombocytopenia at Cardiogenic Shock Presentation: Data from a Multicenter Registry

PURPOSE

Thrombocytopenia (platelet count <150×10³/μL) is associated with poor outcomes in various critical illness settings. However, the prognostic value of platelet count in patients with cardiogenic shock (CS) remains unclear.

MATERIALS AND METHODS

We enrolled 1202 patients between January 2014 and December 2018 from a multicenter retrospective-prospective cohort registry of CS. Clinical characteristics and treatment outcomes were compared between the patients with and without thrombocytopenia.

RESULTS

At presentation with CS, 244 (20.3%) patients had thrombocytopenia. The patients with thrombocytopenia had lower blood pressure, hemoglobin level, and worse liver and renal functions compared to the patients without. During hospitalization, the patients with thrombocytopenia had more frequent gastrointestinal bleeding (10.5% vs. 3.8%, p=0.009), sepsis (8.3% vs. 2.6%, p=0.013), requirement of renal replacement therapy (36.5% vs. 18.9%, p<0.001), requirement of mechanical ventilation (65.2% vs. 54.4%, p=0.003), longer intensive care unit stay (8 days vs. 4 days, p<0.001), and thirty-day mortality (40.2% vs. 28.5%, p<0.001) compared to those without. In addition, the platelet count was an independent predictor of 30-day mortality (per 10³/μL decrease; adjusted hazard ratio: 1.002, 95% confidence interval: 1.000-1.003, p=0.021).

CONCLUSION

Thrombocytopenia at CS presentation was associated with worse clinical findings, higher frequencies of complications, and longer stay at the intensive care unit. Also, thrombocytopenia was independently associated with increased 30-day mortality. (Clinical trial registration No. NCT02985008).

Identifying cardiogenic shock in the emergency department

INTRODUCTION

Cardiogenic shock is difficult to diagnose due to diverse presentations, overlap with other shock states (i.e. sepsis), poorly understood pathophysiology, complex and multifactorial causes, and varied hemodynamic parameters. Despite advances in interventions, mortality in patients with cardiogenic shock remains high. Emergency clinicians must be ready to recognize and start appropriate therapy for cardiogenic shock early.

OBJECTIVE

This review will discuss the clinical evaluation and diagnosis of cardiogenic shock in the emergency department with a focus on the emergency clinician.

DISCUSSION

The most common cause of cardiogenic shock is a myocardial infarction, though many causes exist. It is classically diagnosed by invasive hemodynamic measures, but the diagnosis can be made in the emergency department by clinical evaluation, diagnostic studies, and ultrasound. Early recognition and stabilization improve morbidity and mortality. This review will focus on identification of cardiogenic shock through clinical examination, laboratory studies, and point-of-care ultrasound.

CONCLUSIONS

The emergency clinician should use the clinical examination, laboratory studies, electrocardiogram, and point-of-care ultrasound to aid in the identification of cardiogenic shock. Cardiogenic shock has the potential for significant morbidity and mortality if not recognized early.

The association of diabetes and admission blood glucose with 30-day mortality in patients with acute myocardial infarction complicated by cardiogenic shock

BACKGROUND

Cardiogenic shock is the leading cause of death in patients with acute myocardial infarction, with short-term mortality of approximately 50%. Whether diabetes mellitus and high blood glucose levels are associated with mortality in contemporary patients with acute myocardial infarction complicated by cardiogenic shock is inadequately described.

PURPOSE

To investigate if diabetes mellitus and high admission blood glucose were associated with 30-day mortality in a large, contemporary population with acute myocardial infarction complicated by cardiogenic shock.

METHODS

Patients with acute myocardial infarction complicated by cardiogenic shock admitted at two tertiary centres in Denmark from 2010 to 2017 were individually identified through patient charts, resulting in the inclusion of 1716 cardiogenic shock patients. Glucose level at admission to the intensive care unit was available in 1302 patients.

RESULTS

There was no significant difference in 30-day mortality between diabetes mellitus types I and II (63% vs. 62%, NS). Thirty-day mortality was significantly higher in diabetes patients compared to non-diabetes patients (62% vs. 50%, P < 0.001). Increasing admission glucose was associated with increasing 30-day mortality in a dose-dependent manner in diabetes mellitus (4-8 mmol/L, 41%; 8-12 mmol/L, 49%; 12-16 mmol/L, 63%; >16 mmol/L, 67%; P = 0.028) and non-diabetes patients (4-8 mmol/L, 32%; 8-12 mmol/L, 43%; 12-16 mmol/L, 57%; >16 mmol/l; 68%; P < 0.001).

CONCLUSION

Patients with acute myocardial infarction complicated by cardiogenic shock and concomitant diabetes mellitus type I or II had a significantly higher 30-day mortality in comparison to patients without diabetes mellitus, whereas no difference was found between diabetes mellitus types I and II. High glucose levels on admission to the intensive care unit were associated with increased 30-day mortality in diabetes mellitus and non-diabetes mellitus patients.

Admission Hyperglycemia as a Predictor of Mortality in Acute Heart Failure: Comparison between the Diabetics and Non-Diabetics

Background: To investigate the impact of admission hyperglycemia (HGL) on in-hospital death (IHD) and 1-year mortality in acute heart failure (AHF) patients with or without diabetes mellitus (DM). Methods: Among 5625 AHF patients enrolled in a nationwide registry, 5541 patients were divided into four groups based on the presence of admission HGL and diabetes mellitus (DM). Admission HGL was defined as admission glucose level > 200 mg/dL. IHD and 1-year mortality were compared. Results: IHD developed in 269 patients (4.9%), and 1-year death developed in 1220 patients (22.2%). DM was a significant predictor of 1-year death (24.8% in DM vs. 20.5% in non-DM, p < 0.001), but not for IHD. Interestingly, admission HGL was a significant predictor of both IHD (7.6% vs. 4.2%, p < 0.001) and 1-year death (26.2% vs. 21.3%, p = 0.001). Admission HGL was a significant predictor of IHD in both DM and non-DM group, whereas admission HGL was a significant predictor of 1-year death only in non-DM (27.8% vs. 19.9%, p = 0.003), but not in DM group. In multivariate analysis, admission HGL was an independent predictor of 1-year mortality in non-DM patients (HR 1.32, 95% CI 1.03–1.69, p = 0.030). Conclusion: Admission HGL was a significant predictor of IHD and 1-year death in patients with AHF, whereas DM was only a predictor of 1-year death. Admission HGL was an independent predictor of 1-year mortality in non-DM patients with AHF, but not in DM patients. Careful monitoring and intensive medical therapy should be considered in AHF patients with admission HGL, regardless of DM.

Hyperglycaemia, adverse outcomes and impact of intravenous insulin therapy in patients presenting with acute ST-elevation myocardial infarction in a socioeconomically disadvantaged urban setting: The Montefiore STEMI Registry

BACKGROUND

Hyperglycaemia occurs frequently in ST-elevation myocardial infarction (STEMI) and is associated with poor outcomes, for which continuous insulin infusion therapy (CIIT) may be beneficial. Information is limited regarding hyperglycaemia in acute STEMI affecting urban minority populations, or how CIIT fares in such real-world settings.

METHODS AND RESULTS

We assembled an acute STEMI registry at an inner-city health system, focusing on patients with initial blood glucose ≥180 mg/dL to determine the impact of CIIT vs usual care. Clinical and outcomes data were added through linkage to electronic records. Inverse-probability-of-treatment weighting using propensity scores (PS) was used to compare CIIT vs no CIIT. The 1067 patients included were mostly Hispanic or African American; 356 had blood glucose ≥180 mg/dL. Such pronounced hyperglycaemia was related to female sex, minority race-ethnicity and lower socioeconomic score, and associated with increased death and death or CVD readmission. CIIT was preferentially used in patients with marked hyperglycaemia and was associated with in-hospital hypoglycaemia (21% vs 11%, P = .019) and, after PS weighting, with increased in-hospital (RR 3.23, 95% CI 0.94, 11.06) and 1-year (RR 2.26, 95% CI 1.02, 4.98) mortality. No significant differences were observed for death at 30 days or throughout follow-up, or death and readmission at any time point.

CONCLUSIONS

Pronounced hyperglycaemia was common and associated with adverse prognosis in this urban population. CIIT met with selective use and was associated with hypoglycaemia, together with increased mortality at specific time points. Given the burden of metabolic disease, particularly among race-ethnic minorities, assessing the benefits of CIIT is a prerogative that requires evaluation in large-scale randomized trials.

Molecular signature of cardiogenic shock

The incidence of cardiogenic shock (CS) has increased remarkably over the past decade and remains a challenging condition with mortality rates of ∼50%. Cardiogenic shock encompasses cardiac contractile dysfunction; however, it is also a multiorgan dysfunction syndrome, often complicated by a systemic inflammatory response with severe cellular and metabolic dysregulations. Here, we review the evidence on the biochemical manifestations of CS, elaborating on current gold standard biomarkers and novel candidates from molecular signatures of CS. Glucose and lactate, both identified over a century ago, remain the only clinically used biomarkers in current predictive risk scores. Novel genomic, transcriptomic, and proteomic data are discussed, and a recently reported molecular score derived from unbiased proteomic discovery, the CS4P, which includes liver fatty acid-binding protein, beta-2-microglobulin, fructose-bisphosphate aldolase B, and SerpinG1 is comprehensively described. Recent advances in -omics technologies provide new insight into a more holistic molecular signature of CS. Thus, we need to open new diagnostic and therapeutic avenues if we aim to improve outcomes.

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Glucose-lowering therapy and cardiovascular outcomes in patients with type 2 diabetes mellitus and acute coronary syndrome

Diabetes is a common comorbidity in patients hospitalized for an acute coronary syndrome event, and prevalence is increasing. Among patients hospitalized with acute myocardial infarction, diabetes can be an independent predictor of mortality and new cardiovascular events; both short- and long-term outcomes are worse for patients with diabetes relative to those without, and undiagnosed diabetes is associated with greater mortality. The impact of glycemic control on cardiovascular outcomes and the best approach to treat hyperglycemia upon hospital admission for acute coronary syndrome in patients with or without known diabetes remain open questions. This review assesses available evidence for hyperglycemia management at the time of admission for acute coronary syndrome and, thereafter, finds that (1) admission plasma glucose plays a role in predicting adverse events, especially in patients with unknown diabetes; (2) glycated haemoglobin is a likely predictor of events in patients with unknown diabetes; and (3) hypoglycemia at the time of acute myocardial infarction hospital admission is an important predictor for mortality in patients with and without diabetes. Whether glucose-targeted insulin and glucose infusion have advantages over glucose-insulin-potassium infusion remains controversial. Evidence for the effect of novel glucose-lowering agents used at the time of an acute cardiovascular event is limited and requires more dedicated studies.

High admission glucose levels predict worse short-term clinical outcome in non-diabetic patients with acute myocardial infraction: a retrospective observational study

BACKGROUND

Patients with acute myocardial infarction (AMI) often accompanied by admission hyperglycemia, which usually predicts a poor clinical outcomes for non-diabetes mellitus. Appropriate cut-point to identify high risk individuals in these patients remains controversial.

METHODS

One thousand six hundred ninety-eight non-diabetes AMI patients in this retrospective study were divided into 3 groups according to admission glucose levels (euglycemia group≤140 mg/dL, moderate hyperglycemia group 141-179 mg/dL, severe hyperglycemia group≥180 mg/dL). The primary endpoint of this study was all-cause in-hospital mortality rate. In-hospital motality related risk factors was analyzed by multivariate binary logistic regression analyses.

RESULTS

All myocardial necrosis markers and Log NT-proBNP in severe hyperglycemia group were significantly higher than those in the other 2 groups. Logistic regression showed that independent predictors of the in-hospital mortality rate in non-diabetic patients with AMI were age (OR = 1.057, 95% CI 1.024-1.091, P < 0.001), logarithm of the N-terminal pro-brain natriuretic peptide (OR = 7.697, 95% CI 3.810-15.550, P < 0.001), insufficient myocardial reperfusion (OR = 7.654, 95% CI 2.109-27.779, P < 0.001), percutaneous coronary intervention (OR = 0.221, 95% CI 0.108-0.452, P < 0.001) and admission glucose (as categorical variable). Patients with moderate hyperglycemia (OR = 1.186, 95% CI 0.585-2.408, P = .636) and severe hyperglycemia (OR = 4.595, 95% CI 1.942-10.873, P = 0.001) had a higher all-cause in-hospital mortality rate compared with those with euglycemia after AMI in non-diabetic patients.

CONCLUSIONS

The all-cause in-hospital mortality risk increases remarkably as admission glucose levels elevated in non-diabetic patients with AMI, especially in patients with admission glucose levels ≥180 mg/dL. Severe admission hyperglycemia could be regarded as prospective high-risk marker for non-diabetic AMI patients.

Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes

Diabetes is a common comorbidity in patients hospitalized for acute heart failure (AHF), but the relationship between admission glucose level, glycemic gap, and in-hospital mortality in patients with both conditions has not been investigated thoroughly. Clinical data for admission glucose, glycemic gap and in-hospital death in 425 diabetic patients hospitalized because of AHF were collected retrospectively. Glycemic gap was calculated as the A1c-derived average glucose subtracted from the admission plasma glucose level. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for glycemic gap to predict all-cause mortality. Patients with glycemic gap levels >43 mg/dL had higher rates of all-cause death (adjusted hazard ratio, 7.225, 95% confidence interval, 1.355-38.520) than those with glycemic gap levels ≤43 mg/dL. The B-type natriuretic peptide levels incorporated with glycemic gap could increase the predictive capacity for in-hospital mortality and increase the area under the ROC from 0.764 to 0.805 (net reclassification improvement = 9.9%, p < 0.05). In conclusion, glycemic gap may be considered a useful parameter for predicting the disease severity and prognosis of patients with diabetes hospitalized for AHF.

Prognostic Value of Admission Blood Glucose Level in Critically Ill Patients Admitted to Cardiac Intensive Care Unit according to the Presence or Absence of Diabetes Mellitus

BACKGROUND

Admission blood glucose (BG) level is a predictor of mortality in critically ill patients with various conditions. However, limited data are available regarding this relationship in critically ill patients with cardiovascular diseases according to diabetic status.

METHODS

A total of 1,780 patients (595 with diabetes) who were admitted to cardiac intensive care unit (CICU) were enrolled from a single center registry. Admission BG level was defined as maximal serum glucose level within 24 hours of admission. Patients were divided by admission BG level: group 1 (< 7.8 mmol/L), group 2 (7.8-10.9 mmol/L), group 3 (11.0-16.5 mmol/L), and group 4 (≥ 16.6 mmol/L).

RESULTS

A total of 105 patients died in CICU (62 non-diabetic patients [5.2%] and 43 diabetic patients [7.9%]; P = 0.105). The CICU mortality rate increased with admission BG level (1.7%, 4.8%, 10.3%, and 18.8% from group 1 to group 4, respectively; P < 0.001). On multivariable analysis, hypertension, mechanical ventilator, continuous renal replacement therapy, acute physiology and chronic health evaluation II (APACHE II) score, and admission BG level significantly influenced CICU mortality in non-diabetic patients (group 1 vs. group 3: hazard ratio [HR], 3.31; 95% confidence interval [CI], 1.47-7.44; P = 0.004; group 1 vs. group 4: HR, 6.56; 95% CI, 2.76-15.58; P < 0.001). However, in diabetic patients, continuous renal replacement therapy and APACHE II score influenced CICU mortality but not admission BG level.

CONCLUSION

Admission BG level was associated with increased CICU mortality in critically ill, non-diabetic patients admitted to CICU but not in diabetic patients.

Hyponatraemia, hyperglycaemia and worsening renal function at first blood sample on emergency department admission as predictors of in-hospital death in patients with dyspnoea with suspected acute heart failure: retrospective observational analysis of the PARADISE cohort

OBJECTIVES

To assess the prognostic value of hyponatraemia, hyperglycaemia and impaired estimated glomerular filtration rate (eGFR) in predicting in-hospital death in patients with acute heart failure (AHF) admitted for acute dyspnoea in the emergency department.

DESIGN

Retrospective observational study.

SETTING

Emergency Department of the University Hospital of Nancy. Data were collected from August 2013 to October 2015.

PARTICIPANTS

The analysis included 405 patients with AHF admitted for acute dyspnoea in an emergency department.

RESULTS

The population was elderly (mean age 82 years), 20.1% had hyponatraemia, 45.1% had hyperglycaemia and 48.6% had eGFR <50 mL/min/1.73 m². Sixty-one patients (15.1%) died in hospital, mostly due to cardiac aetiology (58.3%). In multivariable analysis adjusted for key potential confounders, adjusted hyponatraemia (OR=2.40, (1.16 to 4.98), p=0.02), hyperglycaemia (OR=2.00, 1.06 to 3.76, p=0.03) and eGFR <50 mL/min/1.73 m² (OR=1.97 (1.00 to 3.80), p=0.04*) were all identified as significant independent predictors of in-hospital death.

CONCLUSIONS

Results of basic routine laboratory tests (hyponatraemia, hyperglycaemia and impaired eGFR) performed on admission in the emergency department are independently associated with in-hospital death. These inexpensive tests, performed as early as patient admission in the emergency department, could allow the early identification of patients admitted for AHF who are at high risk of in-hospital death.

TRIAL REGISTRATION NUMBER

NCT02800122.

Decreased blood glucose at admission has a prognostic impact in patients with severely decompensated acute heart failure complicated with diabetes mellitus

The prognostic impact of a decreased blood glucose level in acute heart failure (AHF) has not been sufficiently clarified. The data from 1234 AHF patients were examined in the present study. The blood glucose (BG) levels were evaluated at admission. The patients were divided into groups based on the following: with or without diabetes mellitus (DM), and BG level ≥ 200 mg/dl (elevated BG) or < 200 mg/dl (decreased BG). The elevated and decreased BG patients were further divided into another three groups: 200 mg/ml ≤ BG < 300 mg/dl (mild-elevated), 300 mg/ml ≤ BG < 400 mg/dl (moderate-elevated) and BG ≥ 400 mg/ml (severe-elevated); and 150 mg/ml ≤ BG < 200 mg/dl (mild-decreased), 100 mg/ml ≤ BG < 150 mg/dl (moderate-decreased) and BG < 100 mg/ml (severe-decreased), respectively. The DM patients had a significantly poorer mortality than the non-DM patients. The prognosis was different between patients with elevated or decreased BG. In DM patients with elevated BG, the severe-elevated patients had a significantly poorer prognosis than moderate- and mild-elevated patients. In the DM patients with decreased BG, the severe-decreased patients had a significantly poorer prognosis than those moderate- and mild-decreased patients. The multivariate Cox regression model showed that a severe-decreased [hazard ratio (HR) 3.245, 95% confidence interval (CI) 1.271-8.282] and severe-elevated (HR 2.300, 95% CI 1.143-4.628) status were independent predictors of 365-day mortality in AHF patients with DM. The mortality was high among AHF patients with DM. Furthermore, both severe hyperglycemia and hypoglycemia were independent predictors of the mortality in patients with AHF complicated with DM.

Hypoglycaemia without diabetes encountered by emergency medical services: a retrospective cohort study

BACKGROUND

The current study investigates the incidence, aetiology, and outcome of hypoglycaemia of patients without diabetes in the EMS.

METHODS

The study was a retrospective cohort study that utilized electronic EMS patient record system (population of one million). All patients encountered by EMS with plasma glucose ≤3.9 mmol/l from 2009 to 2015 were included in the study and hospital records were screened manually to detect possible reasons for hypoglycaemia. Data from the governmental health insurance agency for all residents in Finland was used to reveal the diabetes status of the patients. Survival of the patients was followed from Population register centre up to six years. Serious hypoglycaemia was defined as plasma glucose ≤3.0 mmol/l.

RESULTS

From EMS cases with a plasma glucose measurement a total of 5467 hypoglycaemic patients without diabetes were encountered by EMS during the study period with an incidence of 1082 (CI95% 1019-1148) per 100,000 inhabitants per year, corresponding 41.6%, (CI95% 40.8-42.3) of all hypoglycaemic patients. Of those patients, 3856 [71.6%, (CI95% 70.4-72.8)] were transported to hospital and 910 [23.2%, (CI95% 22.0-24.6)] had serious hypoglycaemia. The three main diagnosis groups that appeared in the subsequent hospital treatment associated with hypoglycaemia in all transported cases without diabetes as well with serious hypoglycaemia cases were: alcohol abuse [41.2%, (CI95% 39.7-42.8) and 42.2%, (CI95% 39.0-45.4)], hypothermia [17.2%, (CI95% 16.0-18.4) and 27.4%, (CI95% 24.6-30.4)], and malnutrition [16.9%, (CI95% 15.8-18.1) and 25.1%, (CI95% 22.4-28.0)]. Mortality ranged from 0.6-65.4% depending of admission reason and increased significantly at long-term. Non-Diabetics survival was less than with diabetics, when serious hypoglycaemia was present.

DISCUSSION

The most common possible hypoglycaemia related aetiological causes encountered in the EMS, alcohol abuse, hypothermia, and malnutrition, although frequent are often relatively benign conditions. These possible causes of hypoglycaemia can often be treated at scene or need only short hospital admissions. Hence they are not so prevalent in hospital studies.

CONCLUSIONS

Hypoglycaemia without diabetes is commonly observed among the hypoglycaemic EMS cases. Main causes for it are alcohol abuse, hypothermia, and malnutrition. Mortality correlated with age, higher priority dispatch codes, and plasma glucose rate in multivariate logistic regression analysis. Some of the etiological subgroups carry a markedly high mortality rate.

Relative hyperglycemia is associated with complications following an acute myocardial infarction: a post-hoc analysis of HI-5 data

Background

Hyperglycemia is associated with increased morbidity and mortality in patients with an acute myocardial infarction (AMI). We evaluated whether complications after AMI are associated with absolute or relative glycemia.

Methods

A total of 192 patients with AMI were randomized to intensive or conventional insulin therapy. Absolute glycemia was defined as mean blood glucose level (BGL) during the first 24 h following randomization. Relative glycemia was defined by the stress hyperglycaemia ratio (SHR), calculated as mean BGL divided by average glucose concentration over the prior 3 months estimated from glycosylated haemoglobin. The primary endpoint was a “complicated AMI”, defined as an AMI complicated by death, congestive cardiac failure, arrhythmia, cardiac arrest, reinfarction, cardiogenic shock, inotrope use or emergency revascularization.

Results

There was not a significant association between mean BGL and complicated AMI (odds ratio (OR) 1.05 per mmol/L glucose increment, 95% confidence intervals (CI) 0.93–1.19). In contrast, SHR was positively associated with a complicated myocardial infarction (OR 1.22 per 0.1 SHR increment, 95% CI 1.06–1.42), and individual complications of death (OR 1.55, 95% CI 1.14–2.11), congestive cardiac failure (OR 1.27, 95% CI 1.05–1.54), arrhythmia (OR 1.31, 95% CI 1.12–1.54) and cardiogenic shock (OR 1.42, 95% CI 1.03–1.97). The relationship between SHR and a complicated AMI was independent of diabetic status, intensive insulin therapy, sex and hypoglycemia.

Conclusions

Relative, but not absolute, glycemia during insulin treatment is independently associated with complications after an AMI. Future studies should investigate whether basing therapeutic glycaemic targets on relative glycemia improves patient outcomes.