First plasma glucose value after urgent admission and in-hospital mortality in acutely decompensated heart failure

Stress hyperglycemia ratio as a prognostic indicator for long-term adverse outcomes in heart failure with preserved ejection fraction

BACKGROUND

Recent studies highlighted that stress hyperglycemia ratio (SHR) is a potential predictor for future risk in heart failure (HF) patients. However, its implications specifically in HF with preserved ejection fraction (HFpEF) are not yet fully elucidated. We aimed to investigate the association between SHR and long-term clinical outcomes in HFpEF patients.

METHODS

HFpEF patients enrolled between 2015 and 2023, were followed (mean 41 months) for a composite outcome of all-cause, cardiovascular mortality, and HF rehospitalization. SHR was established as the ratio of acute-chronic glycemia from admission blood glucose and glycated hemoglobin. The optimal cut-off for SHR to predict outcomes based on event prediction was determined through ROC analysis, and the cutoff was identified at 0.99. The effect of SHR on adverse risk was examined through the Cox hazards and Kaplan-Meier survival methods. A Pearson correlation analysis was conducted to assess the relationship between SHR and the severity of HF, as indicated by N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. Furthermore, the incremental prognostic value of SHR was further assessed by the integrated discrimination improvement (IDI) and the net reclassification improvement (NRI).

RESULTS

Among the 400 enrolled patients, 190 individuals (47.5%) encountered composite events over the 41-month follow-up period. SHR was significantly elevated in patients with events compared with those without (p < 0.001). All patients were stratified into high SHR (n = 124) and low SHR (n = 276) groups based on the SHR cutoff. The high SHR group had a significantly higher incidence of adverse events than the low SHR group (log-rank; p < 0.001). Additional analysis indicated a poorer prognosis in patients with low left ventricular EF (LVEF) levels (50 < LVEF < 60) and high SHR (SHR > 0.99) in comparison to the other groups (log-rank p < 0.001). In adjusted analysis, after accounting for age, sex, diabetes, and NT-proBNP, elevated SHR remained independently predictive of adverse outcomes (adjusted HR: 2.34, 95% CI 1.49-3.67; p < 0.001). Furthermore, adding SHR to a model with MAGGIC score provided an incremental improvement in predicting adverse events. Additionally, SHR displayed a slight correlation with NT-proBNP.

CONCLUSION

Elevated SHR was independently associated with an increased risk for composite events of all-cause, cardiovascular mortality, and HF readmission than those with lower SHR. SHR is a valuable tool for predicting and stratifying long-term adverse risks among HFpEF patients.

Relationship between stress hyperglycemia ratio and acute kidney injury in patients with congestive heart failure

BACKGROUND

The stress hyperglycemia ratio (SHR) has been demonstrated as an independent risk factor for acute kidney injury (AKI) in certain populations. However, this relationship in patients with congestive heart failure (CHF) remains unclear. Our study sought to elucidate the relationship between SHR and AKI in patients with CHF.

METHODS

A total of 8268 patients with CHF were included in this study. We categorized SHR into distinct groups and evaluated its association with mortality through logistic or Cox regression analyses. Additionally, we applied the restricted cubic spline (RCS) analysis to explore the relationship between SHR as a continuous variable and the occurrence of AKI. The primary outcome of interest in this investigation was the incidence of AKI during hospitalization.

RESULTS

Within this patient cohort, a total of 5,221 (63.1%) patients experienced AKI during their hospital stay. Upon adjusting for potential confounding variables, we identified a U-shaped correlation between SHR and the occurrence of AKI, with an inflection point at 0.98. When the SHR exceeded 0.98, for each standard deviation (SD) increase, the risk of AKI was augmented by 1.32-fold (odds ratio [OR]: 1.32, 95% CI: 1.22 to 1.46). Conversely, when SHR was below 0.98, each SD decrease was associated with a pronounced increase in the risk of AKI.

CONCLUSION

Our study reveals a U-shaped relationship between SHR and AKI in patients with CHF. Notably, we identified an inflection point at an SHR value of 0.98, signifying a critical threshold for evaluating AKI in this population.

Diuretic Combination Therapy in Acute Heart Failure: An Updated Review

Loop diuretics are the cornerstone of decongestive therapy in patients presenting with acute heart failure and have been extensively studied in randomized clinical trials. Therefore, in current guidelines, they are the only drug with a class I recommendation to treat signs and symptoms of congestion when present. However, the percentage of patients achieving successful decongestion is suboptimal, and diuretic resistance frequently develops. Patients with a poor response to loop diuretics and those discharged with residual signs of congestion are characterized by a worse prognosis over time. Recently, a renovated interest in different diuretic classes sprouted among heart failure researchers in order to improve decongestion strategies and ameliorate short- and long-term clinical outcomes. Randomized clinical trials investigating associations among diuretic classes and loop diuretics have been performed but yielded variable results. Therefore, despite initial evidence of a possible benefit from some of these compounds, a definite way to approach diuretic resistance via diuretic combination therapy is still missing. The aim of this review is to summarize current clinical evidence on the use of diuretic combination therapy in patients with acute heart failure and to suggest a possible approach to avoid or counteract diuretic resistance.

The impact of the stress hyperglycemia ratio on mortality and rehospitalization rate in patients with acute decompensated heart failure and diabetes

BACKGROUND

The relationship between stress hyperglycemia and long-term prognosis in acute decompensated heart failure (ADHF) patients is unknown. This study investigated the associations of stress hyperglycemia with mortality and rehospitalization rates among ADHF patients with diabetes.

METHODS

We consecutively enrolled 1904 ADHF patients. Among them, 780 were with diabetes. Stress hyperglycemia was estimated using the stress hyperglycemia ratio (SHR), which was calculated by the following formula: SHR = admission blood glucose/[(28.7 × HbA1c%) - 46.7]. All diabetic ADHF subjects were divided into quintiles according to the SHR. The primary endpoint was all-cause death at the 3-year follow-up. The secondary endpoints were cardiovascular (CV) death and heart failure (HF) rehospitalization at the 3-year follow-up. A Cox proportional hazards model and restricted cubic spline analysis were used to elucidate the relationship between the SHR and the endpoints in diabetic ADHF patients. Further analyses were performed to examine the relationships between SHR and the outcomes in heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF).

RESULTS

A total of 169 all-cause deaths were recorded during a median follow-up of 3.24 years. Restricted cubic spline analysis suggested a U-shaped association between the SHR and the mortality and rehospitalization rates. Kaplan-Meier survival analysis showed the lowest mortality in the 2nd quintile (P = 0.0028). Patients categorized in the highest range (5th quintile) of SHR, compared to those in the 2nd quintile, exhibited the greatest susceptibility to all-cause death (with a hazard ratio [HR] of 2.76 and a 95% confidence interval [CI] of 1.63-4.68), CV death (HR 2.81 [95% CI 1.66-4.75]) and the highest rate of HF rehospitalization (HR 1.54 [95% CI 1.03-2.32]). Similarly, patients in the lowest range (1st quintile) of SHR also exhibited significantly increased risks of all-cause death (HR 2.33, 95% CI 1.35-4.02) and CV death (HR 2.32, 95% CI 1.35-4.00). Further analyses indicated that the U-shape association between the SHR and mortality remained significant in both HFpEF and HFrEF patients.

CONCLUSION

Both elevated and reduced SHRs indicate an unfavorable long-term prognosis in patients with ADHF and diabetes.

Association between prediabetes and adverse outcomes in heart failure

AIMS

Patients with heart failure (HF) and with diabetes experienced significantly worse outcomes than those without diabetes. However, data on the prognostic impact of prediabetes in HF are inconclusive. This meta-analysis aimed to explore the association between prediabetes and the risk of all-cause mortality and adverse cardiac outcomes in patients with HF.

MATERIALS AND METHODS

We searched multiple electronic databases (PubMed, Embase and Google Scholar) for relevant studies up to 31 March 2021. Studies were included for analysis if multivariable adjusted relative risks of adverse outcomes were reported in patients with prediabetes and with HF compared with those with normoglycaemia. Random-effects models were used to calculate the pooled hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

Twelve studies comprising 28 643 patients with HF reported the risk of all-cause mortality and cardiac outcomes associated with prediabetes. The prevalence of prediabetes ranged from 9.6% to 37.2%. After a median follow-up duration of 2.3 years, patients with HF and with prediabetes were associated with an increased risk of all-cause mortality (HR 1.29, 95% CI 1.06-1.58), cardiovascular mortality (HR 1.59, 95% CI 1.09-2.32), HF hospitalization (HR 1.33, 95% CI 1.09-1.61), all-cause mortality and/or HF hospitalization (HR 1.22, 95% CI 1.01-1.47), as well as cardiovascular mortality and/or HF hospitalization (HR 1.21, 95% CI 1.07-1.37).

CONCLUSIONS

Prediabetes is associated with a worse prognosis in patients with HF. Further risk stratification and effective treatment strategies are needed in patients with prediabetes and with HF to improve the prognosis.

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.

The prognostic impact of hyperglycemia on clinical outcomes of acute heart failure: Insights from the heart function assessment registry trial in Saudi Arabia

Background

The prognostic impact of hyperglycemia (HG) in acute heart failure (AHF) is controversial. Our aim is to examine the impact of HG on short- and long-term survival in AHF patients.

Methods

Data from the Heart Function Assessment Registry Trial in Saudi Arabia (HEARTS) for patients who had available random blood sugar (RBS) were analyzed. The enrollment period was from October 2009 to December 2010. Comparisons were performed according to the RBS levels on admission as either <11.1 mmol/L or ≥11.1 mmol/L. Primary outcomes were hospital adverse events and short- and long-term mortality rates.

Results

A total of 2511 patients were analyzed. Of those, 728 (29%) had HG. Compared to non-HG patients, hyperglycemics had higher rates of hospital, 30-day, and 1-year mortality rates (8.8% vs. 5.6%; p = 0.003, 10.4% vs. 7.2%; p = 0.007, and 21.8% vs. 18.4%; p = 0.04, respectively). There were no differences between the two groups in 2- or 3-year mortality rates. After adjustment for relevant confounders, HG remained an independent predictor for hospital and 30-day mortality [odds ratio (OR) = 1.6; 95% confidence interval (CI) 1.07–2.42; p = 0.021, and OR = 1.55; 95% CI 1.07–2.25; p = 0.02, respectively].

Conclusion

HG on admission is independently associated with hospital and short-term mortality in AHF patients. Future research should focus on examining the impact of tight glycemic control on outcomes of AHF patients.