The association between congestive heart failure and chronic renal disease

Association of Angiotensin Receptor-Neprilysin Inhibitors Use and Better Cardiorenal Outcomes in Patients With Heart Failure and Acute Kidney Disease

PURPOSE

Angiotensin receptor-neprilysin inhibitors (ARNi) have been shown to improve cardiovascular outcomes in heart failure (HF) patients. However, their impact on HF patients with concurrent acute kidney disease (AKD) remains underexplored. This study investigated the outcomes of ARNi compared to angiotensin-converting enzyme inhibitors (ACEi) in HF patients with AKD.

METHODS

The study included 20,009 hospitalized HF and AKD patients who underwent dialysis during hospitalization, recovered from dialysis within 90 days after discharge, and were followed until November 30, 2022, using data from TriNetX. The study period began in July 2015, coinciding with the availability of ARNi in the market. Propensity score matching (1:1) was applied to balance ARNi and ACEi groups. Adjusted hazard ratios (aHR) with 95% confidence intervals (CI) were calculated to assess the risks of mortality, major adverse kidney events (MAKE), readmission and major adverse cardiac events (MACE). The follow-up period was conducted with a maximum duration of 5 years.

RESULTS

A total of 20,009 AKD patients (mean [SD] age, 59.1 [12.2] years) were enrolled, of whom 21.9% received ARNi, with a median follow-up of 2.3 years. After matching, 4391 patients (mean age, 58.6 years; male, 67.9%) were identified in both the ARNi and control groups. ARNi users exhibited a significantly lower risk of mortality (aHR, 0.32, 95% CI 0.13-0.80, p = 0.01), MAKE (aHR, 0.58, 95% CI 0.51-0.66, p < 0.01 ), and readmission (aHR, 0.61, 95% CI 0.55-0.68, p <0.01) versus controls. However, no significant difference in the risk of MACE was observed between the two groups (aHR, 0.94, 95% CI 0.82-1.09, p = 0.78). Subgroup analysis revealed ARNi users, when concomitantly treated with mineralocorticoids, diuretics, or beta-blockers had significantly lower risks of mortality, readmission, and MAKE than the control group. In addition, ARNi significantly reduced mortality and MAKE in patients with GFR 30-60 mL/min/1.73 m2, irrespective of proteinuria status. However, no significant benefit was observed in patients with GFR <30 mL/min/1.73 m2.

CONCLUSIONS

In HF patients with AKD, ARNi was associated with reduced all-cause mortality, MAKE, and readmission risks compared to ACEi, particularly with concurrent mineralocorticoids, diuretics, or beta-blockers. Future research is necessary to further investigate the impact of ARNi on outcomes in patients with HF and AKD.

The role of cut-off values for creatinine, blood urea nitrogen, and uric acid in prognostic assessment of chronic heart failure: a retrospective cohort study

BACKGROUND

Chronic heart failure (CHF) significantly harms patients and society, causing high mortality and reduced quality of life, straining healthcare systems; early identification and intervention are crucial for improving long-term prognosis.

METHODS

This retrospective cohort study involved 297 CHF patients. After collecting data on demographics, lab results, echocardiography, and comorbidities, ROC analysis was used to determine optimal cut-off values, followed by survival analysis and multivariate Cox regression to identify poor prognosis risk factors.

RESULTS

ROC analysis set optimal cut-offs for Scr, BUN, and UA at 101.5 µmol/L, 8.61 mmol/L, and 462 µmol/L, with AUCs of 0.602 (Scr, UA) and 0.674 (BUN). Kaplan-Meier analysis showed significant curve separation, while Cox regression identified risk factors for poor prognosis: Scr ≥ 101.5 µmol/L (HR = 2.209, 95% CI 1.372-3.557, P = 0.001), BUN ≥ 8.61 mmol/L (HR = 3.709, 95% CI 2.270-6.061, P < 0.001), UA ≥ 462 µmol/L (HR = 2.625, 95% CI 1.631-4.228, P < 0.001), male sex(HR = 1.764, 95% CI 1.067-2.915, P = 0.027), hyperlipidemia (HR = 0.567, 95% CI 0.351-0.916, P = 0.02), and re-hospitalization(HR = 0.480, 95% CI 0.280-0.826, P = 0.008). Subgroup analysis indicates that male gender is a significant risk factor for females (OR:2.424, P < 0.001); and age also posed a risk (OR:1.026, P = 0.036). NYHA class IV had an OR of 0.42 compared to class III (P < 0.001), and class III had an OR of 0.307 compared to class II (P = 0.016). Patients without CHD had a 1.905-fold increased risk of poor prognosis (P = 0.033).

CONCLUSION

This study highlights key characteristics, assessment parameters, and risk factors for CHF patients, emphasizing the importance of Scr, BUN, and UA cut-off levels in management and guiding future research.

Estimated plasma volume status as a prognostic indicator in myocardial infarction and heart failure: insights from the MIMIC-IV database

Background

Myocardial infarction (MI) complicated by heart failure (HF) is a common and severe clinical condition associated with poor outcomes. Estimated plasma volume status (ePVS), a marker of congestion derived from hemoglobin and hematocrit, has shown promise in predicting outcomes in various cardiovascular diseases. This study aimed to investigate the relationship between ePVS and both short-term and long-term prognosis in patients with MI complicated by HF.

Methods

A retrospective cohort study was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, including 3,238 patients with MI complicated by HF. Patients were stratified into quartiles based on ePVS values. The primary outcomes were in-hospital mortality, 180-day mortality, and 1-year mortality. Kaplan-Meier curves, multivariate Cox regression analysis, and subgroup analyses were performed to assess the relationship between ePVS and outcomes.

Results

Kaplan-Meier analysis showed significant differences in survival rates across ePVS quartiles for all outcomes (P < 0.001). Multivariate logistic regression analysis revealed that patients in the highest quartile of ePVS (Q4 vs. Q1) had an independently increased risk of in-hospital mortality (OR 1.58, 95% CI 1.16-2.13, P = 0.003). Cox regression analysis further demonstrated that higher ePVS (Q4 vs. Q1) was associated with an increased risk of 180-day mortality (HR 1.45, 95% CI 1.19-1.75, P < 0.001) and 1-year mortality (HR 1.51, 95% CI 1.27-1.80, P < 0.001). Both Kaplan-Meier survival curves and restricted cubic spline models confirmed a positive association between ePVS and long-term mortality risks.The association between ePVS and long-term outcomes was stronger than for in-hospital mortality. Subgroup analyses revealed that the relationship between ePVS and long-term mortality was more pronounced in patients with systolic blood pressure below 140 mmHg, lower LODS and OASIS scores, and those without hemorrhagic disorders or anemia (P for interaction <0.05).

Conclusion

ePVS was an independent predictor of both short-term and long-term mortality in patients with MI complicated by HF. Its prognostic value was particularly significant for long-term outcomes, suggesting its potential utility in risk stratification and guiding treatment strategies for this high-risk population.

Evaluating the safety and effectiveness of tolvaptan in patients with heart failure and renal impairment: a systematic review and meta-analysis

PURPOSE

Patients with heart failure and concomitant renal impairment are often prescribed loop diuretics, such as furosemide, as the primary treatment. The present meta-analysis is focused on analyzing the safety and efficacy of the implementation of tolvaptan as a novel approach in patients with renal impairment and heart failure.

METHODS

Two reviewers conducted a screening of articles using online databases, including PubMed, Google Scholar, and Embase. Following a comprehensive literature search, seven articles that met all inclusion criteria (patients with heart failure and renal impairment) were selected for analysis. Subsequently, various primary and secondary outcomes were evaluated.

RESULTS

The primary outcomes of our study included urine volume, worsening renal function, blood urea nitrogen (BUN) levels, and creatinine levels. Tolvaptan demonstrated superior efficacy in increasing urine output with a standardized mean difference of 2.18 (95% CI 0.62-3.75, p = 0.006) and resulted in a lower incidence of worsening renal function with odds ratio 0.41 (95% CI 0.22-0.77, p = 0.006). Additionally, there was no significant difference in the tolvaptan and conventional treatment groups in changing serum creatinine levels with a standardized mean difference of - 0.37 (95% CI - 0.86 to 0.12, p = 0.135), but tolvaptan tends to decrease blood urea nitrogen levels with a standardized mean difference - 0.18 (95% CI - 0.30 to - 0.06, p = 0.004) in comparison to conventional treatment group.

CONCLUSION

While tolvaptan administration was related to better renal outcomes, unresolved heterogeneities and various factors could have influenced our findings. Further research is needed to evaluate the role of tolvaptan in the treatment of this patient population.

A real-world analysis of roxadustat effectiveness and safety in managing renal anemia among patients on maintenance hemodialysis: An observational study

We aimed to compare the clinical efficacy and safety of roxadustat with erythropoiesis-stimulating agents, particularly erythropoietin (EPO), in the treatment of maintenance hemodialysis patients with renal anemia. A prospective cohort study was carried out at the Nephrology Department of the Nantong First People's Hospital and Nantong University Affiliated Hospital from December 2020 to December 2021. We compared hemoglobin (Hb) levels, serum ferritin (SF) levels, and adverse cardiovascular events between the roxadustat and EPO groups at 1, 3, and 6 months into the treatment. A total of 209 patients participated in the study, with 112 in the roxadustat group and 97 in the EPO group. At baseline, no statistically significant differences were observed between the 2 groups in terms of age, gender, weight, dialysis modality and duration, previous EPO dosage, Hb levels, SF levels, transferrin saturation, heart function classification, and blood pressure levels (P > .05). After 1 month, Hb levels in the roxadustat group were significantly higher than those in the EPO group (P < .05). However, no statistically significant differences were found between the 2 groups at 3 and 6 months (P > .05). Additionally, there were no significant differences in SF levels and the occurrence of adverse cardiovascular events between the 2 groups after treatment (P > .05). Roxadustat was superior to EPO in the initial treatment phase, while its cardiovascular safety was comparable to that of EPO.

N-Terminal Pro-Brain Natriuretic Peptide Correlates with Ghrelin and Acyl-Ghrelin in Pre-Dialysis Chronic Kidney Disease

Pro-B amino-terminal natriuretic peptide (NT-proBNP) is a diagnostic marker for heart failure (HF), a severe complication of chronic kidney disease (CKD). However, its significance in CKD is not clear, as other factors, such as renal function, may also have an impact. Recent studies have shown that ghrelin treatment is effective in HF in the general population, but the impact of ghrelin on cardiac function in CKD patients is still unknown. Our study aimed to investigate the factors associated with NT-proBNP in pre-dialysis CKD patients and to evaluate the correlation between NT-proBNP and ghrelin and acyl-ghrelin, molecules determined using ELISA methods. In a cross-sectional observational study, we included 80 patients with pre-dialysis CKD, with a mean age of 68 years and 50% men. The median values for NT-proBNP were 351.8 pg/mL, for acyl ghrelin 16.39 pg/mL, and for ghrelin 543.32 pg/mL. NT-proBNP was correlated with ghrelin (p = 0.034, r = 0.24), acyl-ghrelin (p = 0.033, r = -0.24), estimated glomerular filtration rate (p = 0.027, r = -0.25), serum urea (p = 0.006, r = 0.31), and ferritin (p = 0.041, r = 0.28). In multivariate analysis, ghrelin (p = 0.040) and blood urea (p = 0.040) remained significant predictors for NT-proBNP levels. NT-proBNP was a significant predictor for acyl-ghrelin (p = 0.036). In conclusion, in pre-dialysis CKD patients, a high value of NT-proBNP was associated with a high value of total ghrelin and a low value of acyl-ghrelin.

Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data

Timely and accurate referral of end-stage heart failure patients for advanced therapies, including heart transplants and mechanical circulatory support, plays an important role in improving patient outcomes and saving costs. However, the decision-making process is complex, nuanced, and time-consuming, requiring cardiologists with specialized expertise and training in heart failure and transplantation. In this study, we propose two logistic tensor regression-based models to predict patients with heart failure warranting evaluation for advanced heart failure therapies using irregularly spaced sequential electronic health records at the population and individual levels. The clinical features were collected at the previous visit and the predictions were made at the very beginning of the subsequent visit. Patient-wise ten-fold cross-validation experiments were performed. Standard LTR achieved an average F1 score of 0.708, AUC of 0.903, and AUPRC of 0.836. Personalized LTR obtained an F1 score of 0.670, an AUC of 0.869 and an AUPRC of 0.839. The two models not only outperformed all other machine learning models to which they were compared but also improved the performance and robustness of the other models via weight transfer. The AUPRC scores of support vector machine, random forest, and Naive Bayes are improved by 8.87%, 7.24%, and 11.38%, respectively. The two models can evaluate the importance of clinical features associated with advanced therapy referral. The five most important medical codes, including chronic kidney disease, hypotension, pulmonary heart disease, mitral regurgitation, and atherosclerotic heart disease, were reviewed and validated with literature and by heart failure cardiologists. Our proposed models effectively utilize EHRs for potential advanced therapies necessity in heart failure patients while explaining the importance of comorbidities and other clinical events. The information learned from trained model training could offer further insight into risk factors contributing to the progression of heart failure at both the population and individual levels.

Identification of clinically relevant patient endotypes in traumatic brain injury using latent class analysis

Traumatic brain injury (TBI) is a complex condition where heterogeneity impedes the advancement of care. Understanding the diverse presentations of TBI is crucial for personalized medicine. Our study aimed to identify clinically relevant patient endotypes in TBI using latent class analysis based on comorbidity data. We used the Medical Information Mart for Intensive Care III database, which includes 2,629 adult TBI patients. We identified five stable endotypes characterized by specific comorbidity profiles: Heart Failure and Arrhythmia, Healthy, Renal Failure with Hypertension, Alcohol Abuse, and Hypertension. Each endotype had distinct clinical characteristics and outcomes: The Heart Failure and Arrhythmia endotype had lower survival rates than the Renal Failure with Hypertension despite featuring fewer comorbidities overall. Patients in the Hypertension endotype had higher rates of neurosurgical intervention but shorter stays in contrast to the Alcohol Abuse endotype which had lower rates of neurosurgical intervention but significantly longer hospital stays. Both endotypes had high overall survival rates comparable to the Healthy endotype. Logistic regression models showed that endotypes improved the predictability of survival compared to individual comorbidities alone. This study validates clinical endotypes as an approach to addressing heterogeneity in TBI and demonstrates the potential of this methodology in other complex conditions.

Comparison of the Efficacy and Safety of Sacubitril/Valsartan and Angiotensin-Converting Enzyme Inhibitors/Angiotensin Receptor Blockers in Patients With Reduced Ejection Fraction Combined With Moderate-to-Severe Chronic Kidney Disease

Background and Objectives: The efficacy and safety of a lower target dose of sacubitril/valsartan (angiotensin receptor neprilysin inhibitor [ARNI]) for treating heart failure with reduced ejection fraction (HFrEF) in Chinese patients with moderate-to-severe chronic kidney disease (CKD) remain unknown. We performed a retrospective study to compare the efficacy of ARNI with that of angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) in patients with HFrEF and moderate-to-severe CKD. Methods: This retrospective study included 129 patients. An inverse probability of treatment weighting (IPTW) analysis was performed to compare the baseline characteristics and outcomes between the 2 groups. The incidence of death due to cardiovascular disease, rehospitalization due to heart failure after treatment, and improvement in cardiac function symptoms (New York Heart Association [NYHA]) were assessed after 12 months. Improvements of ejection fraction (EF), N-terminal pro-brain natriuretic peptide (NT-proBNP) level, left ventricular end-systolic diameter (LVESD), and left ventricular end-diastolic diameter (LVEDD) were compared. Results: Compared with the ACEI/ARB group, the ARNI group, with 90.77% (59/65) in the lower target dose group, showed a lower rate of death due to cardiovascular disease (6.6% vs 0.9% after IPTW) and a lower incidence of rehospitalization (46.5% vs 30.4% after IPTW). NYHA class, estimated glomerular filtration rate, EF, NT-ProBNP levels, LVEDD, and LVESD improved in the ARNI group. None of the patients withdrew from treatment because of adverse drug reactions. Conclusion: Our study showed that ARNI resulted in a greater improvement in heart failure than ACEIs/ARBs in patients with HFrEF and moderate-to-severe CKD.

Characteristics of acute ischemic stroke in patients with Nephrotic syndrome

The incidence of ischemic stroke (IS) is higher in nephrotic syndrome (NS) patients compared to general population. However, there is limited information on the specific characteristics to stroke patients with NS. In this study, we aimed to examine the clinical manifestations of acute IS in a large group of NS patients, comparing to those without NS. We conducted a retrospective cohort study to compare the clinical presentations of acute IS in patients with and without NS. This study was a multi-institutional study and used data from Chang Gung Research Database of Taiwan from 1 January 2001, to 31 December 2017. A total of 233 IS patients with NS and 1358 IS patients without NS were enrolled. The median age of participants was 68 (range: 59-79) years. The risk of dependent functional status (modified Rankin Scale score≧3) after IS was higher in NS patients compared to those without NS (Odd ratio (OR) 4.02, 95% confidence interval (CI) 2.39 to 6.76, p < 0.001), particularly in stroke subtypes as small-artery occlusion (OR 8.02, 95% CI 3.94 to 16.32, p < 0.001), and stroke of undetermined etiology (OR 2.47, CI 1.06 to 5.76, p = 037). The risks of mortality or stroke recurrence within 30 days were similar between the two groups for all stroke subtypes. In conclusion, NS was associated with a higher risk of functional dependence following IS. Intensive treatment and rehabilitation should be considered for IS patients with NS.

Resting Heart Rate Independent of Cardiovascular Disease Risk Factors Is Associated With End-Stage Renal Disease: A Cohort Study Based on 476 347 Adults

BACKGROUND

The relationship between resting heart rate (RHR) and the risk of end-stage renal disease (ESRD) among those without cardiovascular disease remains unclear. We aim to establish temporal consistency and elucidate the independent relationship between RHR and the risk of ESRD.

METHODS AND RESULTS

This cohort enrolled participants from 476 347 individuals who had taken part in a screening program from 1996 to 2017. We identified 2504 participants who had ESRD, and the median follow-up was 13 years. RHR was extracted from electrocardiography results, and the study assessed the relationship between RHR and the risk of ESRD using the Cox proportional hazards model. Of the participants, 32.6% had an RHR of 60 to 69 beats per minute (bpm), and 22.2% had an RHR of ≥80 bpm. Participants with an RHR of ≥80 bpm had a higher stage of chronic kidney disease, lower estimated glomerular filtration rate, and more proteinuria than those with an RHR of 60 to 69 bpm. Participants with an RHR of 80 to 89 and ≥90 bpm had a 24% (hazard ratio [HR], 1.24 [95% CI, 1.09-1.42]) and 64% (HR, 1.64 [95% CI, 1.42-1.90]) higher risk of ESRD, respectively. The risk of ESRD remained significantly elevated (HR, 1.32 [95% CI, 1.10-1.58] per 10-beat increase from 60 bpm) after excluding participants who smoked; had hypertension, diabetes, or hyperlipidemia; or were overweight.

CONCLUSIONS

An RHR of ≥80 bpm is significantly associated with an increased risk of ESRD. These results suggest that RHR may serve as a risk factor for kidney disease in individuals without established cardiovascular disease risk factors.

The Prognostic Value of Blood Urea Nitrogen to Albumin Ratio on Patients with Heart Failure

This study aimed to investigate the relationship between blood urea nitrogen to albumin ratio (BAR) and the prognosis of heart failure (HF).A total of 2125 patients with HF were included in this single-center prospective cohort study between February 2012 and December 2017. Using a receiver operating characteristic curve, we determined the cutoff value of BAR as 0.24. All patients were divided into two groups according to the cutoff value of BAR.Among 2125 HF patients, the mean age was 56.7 ± 14.3. During a median follow-up time of 22 months, 516 end-point events occurred. Compared with patients in the low BAR group, those in the high BAR group were older; more likely to be male; had a higher percentage of hypertension, diabetes, smoking, and β-blocker use; and higher levels of alanine aminotransferase, glycosylated hemoglobin, creatinine, log-transformed NTproBNP, and Blood urea nitrogen but lower levels of albumin, triglycerides, high-density lipoprotein, ApoA1, and hemoglobin. Prognosis analysis indicated that high BAR was associated with increased mortality risk of HF (Hazard Ratio = 1.497, 95% CI = 1.234-1.816; P < 0.001) in the multivariate Cox proportional hazard regression model. Subgroup analysis revealed that stratification by age, gender, history of hypertension, diabetes, smoking, β-blocker use, and levels of hemoglobin, glycosylated hemoglobin, and creatinine have no obvious effect on the association between BAR ratio and the prognosis of HF. Furthermore, patients with high BAR represented a decreased left ventricular ejection fraction and increased left ventricular end-diastolic diameter.High BAR was an independent predictor for the mortality risk of HF.

Early and fair COVID-19 outcome risk assessment using robust feature selection

Personalized medicine plays an important role in treatment optimization for COVID-19 patient management. Early treatment in patients at high risk of severe complications is vital to prevent death and ventilator use. Predicting COVID-19 clinical outcomes using machine learning may provide a fast and data-driven solution for optimizing patient care by estimating the need for early treatment. In addition, it is essential to accurately predict risk across demographic groups, particularly those underrepresented in existing models. Unfortunately, there is a lack of studies demonstrating the equitable performance of machine learning models across patient demographics. To overcome this existing limitation, we generate a robust machine learning model to predict patient-specific risk of death or ventilator use in COVID-19 positive patients using features available at the time of diagnosis. We establish the value of our solution across patient demographics, including gender and race. In addition, we improve clinical trust in our automated predictions by generating interpretable patient clustering, patient-level clinical feature importance, and global clinical feature importance within our large real-world COVID-19 positive patient dataset. We achieved 89.38% area under receiver operating curve (AUROC) performance for severe outcomes prediction and our robust feature ranking approach identified the presence of dementia as a key indicator for worse patient outcomes. We also demonstrated that our deep-learning clustering approach outperforms traditional clustering in separating patients by severity of outcome based on mutual information performance. Finally, we developed an application for automated and fair patient risk assessment with minimal manual data entry using existing data exchange standards.

Comorbidity clusters and in-hospital outcomes in patients admitted with acute myocardial infarction in the USA: A national population-based study

BACKGROUND

The prevalence of multimorbidity in patients with acute myocardial infarction (AMI) is increasing. It is unclear whether comorbidities cluster into distinct phenogroups and whether are associated with clinical trajectories.

METHODS

Survey-weighted analysis of the United States Nationwide Inpatient Sample (NIS) for patients admitted with a primary diagnosis of AMI in 2018. In-hospital outcomes included mortality, stroke, bleeding, and coronary revascularisation. Latent class analysis of 21 chronic conditions was used to identify comorbidity classes. Multivariable logistic and linear regressions were fitted for associations between comorbidity classes and outcomes.

RESULTS

Among 416,655 AMI admissions included in the analysis, mean (±SD) age was 67 (±13) years, 38% were females, and 76% White ethnicity. Overall, hypertension, coronary heart disease (CHD), dyslipidaemia, and diabetes were common comorbidities, but each of the identified five classes (C) included ≥1 predominant comorbidities defining distinct phenogroups: cancer/coagulopathy/liver disease class (C1); least burdened (C2); CHD/dyslipidaemia (largest/referent group, (C3)); pulmonary/valvular/peripheral vascular disease (C4); diabetes/kidney disease/heart failure class (C5). Odds ratio (95% confidence interval [CI]) for mortality ranged between 2.11 (1.89-2.37) in C2 to 5.57 (4.99-6.21) in C1. For major bleeding, OR for C1 was 4.48 (3.78; 5.31); for acute stroke, ORs ranged between 0.75 (0.60; 0.94) in C2 to 2.76 (2.27; 3.35) in C1; for coronary revascularization, ORs ranged between 0.34 (0.32; 0.36) in C1 to 1.41 (1.30; 1.53) in C4.

CONCLUSIONS

We identified distinct comorbidity phenogroups that predicted in-hospital outcomes in patients admitted with AMI. Some conditions overlapped across classes, driven by the high comorbidity burden. Our findings demonstrate the predictive value and potential clinical utility of identifying patients with AMI with specific comorbidity clustering.

Association of Chronic Renal Insufficiency with Inhospital Outcomes in Primary Heart Failure Hospitalizations (Insights from the National Inpatient Sample 2004 to 2018)

Chronic kidney disease (CKD) is a major co-morbidity in patients with heart failure (HF). There are limited contemporary data characterizing the clinical profile, inhospital outcomes, and resource use in patients hospitalized for HF with co-morbid CKD. We utilized a nationally representative population to address the knowledge gap. We examined the National Inpatient Sample 2004 to 2018 database to study the co-morbid profile, in-hospital mortality, clinical resource utilization, healthcare cost, and length of stay (LOS) in primary adult HF hospitalizations stratified by presence versus absence of a diagnosis codes of CKD. There were a total of 16,050,301 adult hospitalizations with a primary HF diagnosis from January 1, 2004, to December 31, 2018. Of these, 428,175 (33.81%) had CKD; 1,110,778 (6.92%) had end-stage kidney disease (ESKD); and 9,511,348 (59.25%) had no diagnosis of CKD. Patients with hospitalizations for HF with ESKD were younger (mean age 65.4 years) compared with those without ESKD. In multivariable analysis, those with CKD had higher odds of inhospital mortality (2.82% vs 3.57%, adjusted odds ratio [aOR] 1.30, confidence interval [CI] 1.28 to 1.26, p <0.001), cardiogenic shock (1.01% vs 1.79% aOR 2.00, CI 1.95 to 2.05, p <0.001), and the need for mechanical circulatory support (0.4% vs 0.5%, aOR 1.51, 1.44 to 1.57, p <0.001) compared with those without CKD. In multivariable analysis, those with ESKD had higher odds of inhospital mortality (2.82% vs 3.84%, aOR 2.07, CI 2.01 to 2.12, p <0.001), need for invasive mechanical ventilation use (2.04% vs 3.94%, aOR 1.79, CI 1.75 to 1.84, p <0.001), cardiac arrest (0.72% vs 1.54%, aOR 2.09, CI 2.00 to 2.17, p <0.001), longer LOS (Adjusted mean difference 1.48, 1.44 to 1.53, p <0.001) and higher inflation-adjusted cost (Adjusted mean difference 3,411.63, CI 3,238.35 to 3,584.91, p <0.001) compared with those without CKD. CKD and ESKD affected about 40.7% of all primary HF hospitalizations from 2004 to 2018. The inhospital mortality, clinical complications, LOS, and inflation-adjusted cost were higher in hospitalized patients with ESKD compared with patients with and without CKD. In addition, compared with those without CKD, hospitalized patients with CKD had higher inhospital mortality, clinical complications, LOS, and inflation-adjusted cost compared with patients with no diagnosis of CKD.

Assessment of the underlying causes of adult deaths using a short version of verbal autopsy in Xaiyabouli Province, Lao People's Democratic Republic

BACKGROUND

In developing countries, it is difficult to collect the data of the underlying cause of death (UCOD), especially when a death does not occur in a health facility. This study aimed to develop a short version of verbal autopsy (VA) and identify the UCOD of adults in Lao People's Democratic Republic (Lao PDR).

METHODS

A short version of VA for deaths outside health facilities was developed. This study included all deaths of people aged 15 years old or older in Xaiyabouli Province in 2020. Socio-demographic factors, place of death, and UCOD of the deceased were collected from health facilities or from family members using a questionnaire including the short VA form. UCOD was compared between home deaths and hospital deaths, between the age group of 15-59 years old and the age group ≥ 60 years old, and between males and females.

RESULTS

Of all the 1,235 deaths included in this study, 1,012 deaths (81.9%) occured at home and 223 deaths (18.1%) at hospitals. The most common UCOD was senility (13.3%), followed by heart/renal failure (10.5%), pneumonia (9.6%) and traffic accident (7.1%). Compared to hospital deaths, home deaths had more people who were females, 75 years old or older, and Lao-Tai. Home deaths had more deaths than hospital deaths due to accident/injury (16.0% vs. 8.1%), tumor (4.7% vs. 1.8%), and senility (16.2% vs. 0%); fewer deaths due to heart/renal disease (15.1% vs. 32.3%), respiratory disease (12.2% vs. 18.8%), liver/gastro-intestine disease (5.3% vs. 9.0%), and infection (3.1% vs. 14.3%). The age group of 15-59 years had more deaths in the categories of accident/injury (28.1% vs. 4.4%), liver/gastro-intestine disease (8.1% vs. 4.4%), infection (7.2% vs. 3.5%), and tumor (6.0% vs. 2.8%). Males had more deaths due to tumor (5.2% vs. 3.0%) and fewer natural deaths (11.2% vs. 15.9%) than females.

CONCLUSIONS

The major UCOD category was heart/renal disease in the adult generation in Xaiyabouli Province. Cost-effective interventions based on the multisectoral noncommunicable disease prevention plan should be appropriately implemented. Mortality surveillance using the short VA tool should be conducted for all home deaths in Lao PDR.

Understanding the Mechanisms and Treatment of Heart Failure: Quantitative Systems Pharmacology Models with a Focus on SGLT2 Inhibitors and Sex-Specific Differences

Heart failure (HF), which is a major clinical and public health challenge, commonly develops when the myocardial muscle is unable to pump an adequate amount of blood at typical cardiac pressures to fulfill the body's metabolic needs, and compensatory mechanisms are compromised or fail to adjust. Treatments consist of targeting the maladaptive response of the neurohormonal system, thereby decreasing symptoms by relieving congestion. Sodium-glucose co-transporter 2 (SGLT2) inhibitors, which are a recent antihyperglycemic drug, have been found to significantly improve HF complications and mortality. They act through many pleiotropic effects, and show better improvements compared to others existing pharmacological therapies. Mathematical modeling is a tool used to describe the pathophysiological processes of the disease, quantify clinically relevant outcomes in response to therapies, and provide a predictive framework to improve therapeutic scheduling and strategies. In this review, we describe the pathophysiology of HF, its treatment, and how an integrated mathematical model of the cardiorenal system was built to capture body fluid and solute homeostasis. We also provide insights into sex-specific differences between males and females, thereby encouraging the development of more effective sex-based therapies in the case of heart failure.

Association of the Systemic Immune-Inflammation Index with Outcomes in Acute Coronary Syndrome Patients with Chronic Kidney Disease

Background

The systemic immune-inflammation index (SII; neutrophil × platelet/lymphocyte) is a novel marker for immune and inflammatory status and is associated with adverse prognosis in cardiovascular disease.

Methods

In total, 744 patients diagnosed with acute coronary syndrome (ACS) and chronic kidney disease (CKD) were included in our study, received standard therapies, and were followed up. Patients were divided into high and low SII groups according to the baseline SII. The primary endpoint was major cardiovascular events (MACEs), defined as cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During a median follow-up of 2.5 years, a total of 185 (24.9%) MACEs were recorded. Analysis of the ROC curve revealed that the best cutoff value of SII was 1159.84×10⁹/L for predicting MACEs. The Kaplan-Meier analysis showed that those patients in the low SII group had higher survival rates than those in the high SII group (p < 0.001). Compared to those in the low SII group, patients in the high SII group were at significantly higher risk of MACEs (134 (38.8%) vs 51 (12.8%), p < 0.001). Univariate and multivariable Cox regression analyses revealed that a high SII level was independently associated with MACEs in ACS patients with CKD (adjusted hazard ratio [HR]: 1.865, 95% confidence interval [CI]: 1.197-2.907, p = 0.006).

Conclusion

The present study showed that an elevated SII is associated with adverse cardiovascular outcomes in ACS with CKD patients, suggesting that SII may be a valuable predictor of poor prognosis in ACS with CKD patients. Further studies are needed to confirm our findings.

Higher Rates of Dialysis and Subsequent Mortality in the New Allocation Era for Heart Transplants

BACKGROUND

In 2018, a United Network for Organ Sharing (UNOS) policy change increased prioritization of patients bridged with temporary mechanical circulatory support devices, such as venoarterial ECMO, for cardiac transplantation. Considering increased waitlist acuity, we sought to characterize whether this was associated with an increased risk for development of postoperative acute renal failure requiring dialysis (AKI-D) and risk of death after transplantation.

METHODS

Dialysis-naive adults receiving single-organ heart transplant between November 2009 and February 2020 were stratified by receipt of AKI-D. Era 1 and era 2 were defined by the periods of UNOS allocation before and after policy change, respectively. Multivariable logistic regression was performed to determine risk factors for AKI-D. Rates of AKI-D were compared by propensity score-matched cohorts. Survival was compared by Kaplan-Meier analysis.

RESULTS

A total of 20 698 patients were included. Venoarterial ECMO use significantly increased in era 2 (5.6% vs 0.58%; P < .01). Overall prevalence of AKI-D was greater in era 2 (13.5% vs 10.2%; P < .01). Use of preoperative ECMO, intra-aortic balloon pump, and ventilators and longer ischemia times were identified as independent risk factors for development of AKI-D. Five- and 10-year survival rates were significantly decreased for patients with AKI-D. There was no short-term survival difference of patients with AKI-D between era 2 and the more contemporary era 1.

CONCLUSIONS

Patients in whom AKI-D develops after transplantation have significantly worse short- and long-term outcomes. Preoperative use of ECMO, preoperative ventilator support, and longer ischemia times are risk factors for development of AKI-D, and their prevalence has increased since the allocation policy change.

Uncovering the molecular mechanisms between heart failure and end-stage renal disease via a bioinformatics study

Background: Heart failure (HF) is not only a common complication in patients with end-stage renal disease (ESRD) but also a major cause of death. Although clinical studies have shown that there is a close relationship between them, the mechanism of its occurrence is unclear. The aim of this study is to explore the molecular mechanisms between HF and ESRD through comprehensive bioinformatics analysis, providing a new perspective on the crosstalk between these two diseases. Methods: The HF and ESRD datasets were downloaded from the Gene Expression Omnibus (GEO) database; we identified and analyzed common differentially expressed genes (DEGs). First, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set variation analyses (GSVA) were applied to explore the potential biological functions and construct protein-protein interaction (PPI) networks. Also, four algorithms, namely, random forest (RF), Boruta algorithm, logical regression of the selection operator (LASSO), and support vector machine-recursive feature elimination (SVM-RFE), were used to identify the candidate genes. Subsequently, the diagnostic efficacy of hub genes for HF and ESRD was evaluated using eXtreme Gradient Boosting (XGBoost) algorithm. CIBERSORT was used to analyze the infiltration of immune cells. Thereafter, we predicted target microRNAs (miRNAs) using databases (miRTarBase, TarBase, and ENOCRI), and transcription factors (TFs) were identified using the ChEA3 database. Cytoscape software was applied to construct mRNA-miRNA-TF regulatory networks. Finally, the Drug Signatures Database (DSigDB) was used to identify potential drug candidates. Results: A total of 68 common DEGs were identified. The enrichment analysis results suggest that immune response and inflammatory factors may be common features of the pathophysiology of HF and ESRD. A total of four hub genes (BCL6, CCL5, CNN1, and PCNT) were validated using RF, LASSO, Boruta, and SVM-RFE algorithms. Their AUC values were all greater than 0.8. Immune infiltration analysis showed that immune cells such as macrophages, neutrophils, and NK cells were altered in HF myocardial tissue, while neutrophils were significantly correlated with all four hub genes. Finally, 11 target miRNAs and 10 TFs were obtained, and miRNA-mRNA-TF regulatory network construction was performed. In addition, 10 gene-targeted drugs were discovered. Conclusion: Our study revealed important crosstalk between HF and ESRD. These common pathways and pivotal genes may provide new ideas for further clinical treatment and experimental studies.

Medical Costs Associated With Diabetes Complications in Medicare Beneficiaries Aged 65 Years or Older With Type 1 Diabetes

OBJECTIVE

To estimate medical costs associated with 17 diabetes complications and treatment procedures among Medicare beneficiaries aged ≥65 years with type 1 diabetes.

RESEARCH DESIGN AND METHODS

With use of the 2006-2017 100% Medicare claims database for beneficiaries enrolled in fee-for-service plans and Part D, we estimated the annual cost of 17 diabetes complications and treatment procedures. Type 1 diabetes and its complications and procedures were identified using ICD-9/ICD-10, procedure, and diagnosis-related group codes. Individuals with type 1 diabetes were followed from the year when their diabetes was initially identified in Medicare (2006-2015) until death, discontinuing plan coverage, or 31 December 2017. Fixed-effects regression was used to estimate costs in the complication occurrence year and subsequent years. The cost proportion of a complication was equal to the total cost of the complication, calculated by multiplying prevalence by the per-person cost divided by the total cost for all complications. All costs were standardized to 2017 U.S. dollars.

RESULTS

Our study included 114,879 people with type 1 diabetes with lengths of follow-up from 3 to 10 years. The costliest complications per person were kidney failure treated by transplant ($77,809 in the occurrence year and $13,556 in subsequent years), kidney failure treated by dialysis ($56,469 and $41,429), and neuropathy treated by lower-extremity amputation ($40,698 and $7,380). Sixteen percent of the total medical cost for diabetes complications was for treating congestive heart failure.

CONCLUSIONS

Costs of diabetes complications were large and varied by complications. Our results can assist in cost-effectiveness analysis of treatments and interventions for preventing or delaying diabetes complications in Medicare beneficiaries aged ≥65 years with type 1 diabetes.

Medical Costs Associated With Diabetes Complications in Medicare Beneficiaries Aged 65 Years or Older With Type 2 Diabetes

OBJECTIVE

To estimate medical costs associated with 17 major diabetes-related complications and treatment procedures among Medicare beneficiaries aged ≥65 years with type 2 diabetes.

RESEARCH DESIGN AND METHODS

Claims data from 100% of Medicare beneficiaries enrolled in fee-for-service plans from 2006 to 2017 were analyzed. Records with type 2 diabetes and complications were identified using ICD-9, ICD-10, and diagnosis-related group codes. The index year was the year when a person was first identified as having diabetes with an inpatient claim or an outpatient claim plus another inpatient/outpatient claim in the 2 years following the first claim in Medicare. Included individuals were followed from index years until death, discontinuation of plan coverage, or 31 December 2017. Fixed-effects regression was used to estimate the cost in years when the complication event occurred and in subsequent years. The total cost for each complication was calculated for 2017 by multiplying the complication prevalence by the cost estimate. All costs were standardized to 2017 U.S. dollars.

RESULTS

Our study included 10,982,900 beneficiaries with type 2 diabetes. Follow-up ranged from 3 to 10 years. The three costliest complications were kidney failure treated by transplant (occurring year $79,045, subsequent years $17,303), kidney failure treated by dialysis ($54,394, $38,670), and lower-extremity amputation ($38,982, $8,084). Congestive heart failure accounted for the largest share (18%) of total complication costs.

CONCLUSIONS

Costs associated with diabetes complications were substantial. Our cost estimates provide essential information needed for conducting economic evaluation of treatment and programs to prevent and delay diabetes complications in Medicare beneficiaries.

Levosimendan in acute heart failure with severely reduced kidney function, a propensity score matched registry study

Background

Patients with heart failure frequently present with kidney dysfunction. Kidney function is relevant, as prognosis declines with reduced kidney function and potentially beneficial drugs like levosimendan are contraindicated for missing safety data.

Materials and methods

A single-center retrospective registry study was conducted including all patients receiving levosimendan on a medical intensive care unit between January 2010 and December 2019. Exclusion criteria were a follow-up less than 24 h or missing glomerular filtration rate (eGFR) before administration of levosimendan. The first course of treatment was evaluated. Patients were stratified by eGFR before drug administration and the primary endpoint was a composite of supraventricular-, ventricular tachycardia and death within 7 days after administration of levosimendan. An internal control group was created by propensity score matching.

Results

A total of 794 patients receiving levosimendan were screened and 368 unique patients were included. Patients were predominantly male (73.6%) and median age was 63 years. Patients were divided by eGFR into three groups: >60 ml/min/1.73 m² (n = 110), 60–30 ml/min/1.73 m² (n = 130), and <30 ml/min/1.73 m² (n = 128). ICU survival was significantly lower in patients with lower eGFR (69.1, 57.7, and 50.8%, respectively, p = 0.016) and patients with lower eGFR were significantly older and had significantly more comorbidities. The primary combined endpoint was reached in 61.8, 63.1, and 69.5% of subjects, respectively (p = 0.396). A multivariate logistic regression model suggested only age (p < 0.020), extracorporeal membrane oxygenation (p < 0.001) or renal replacement therapy (p = 0.028) during day 1–7 independently predict the primary endpoint while kidney function did not (p = 0.835). A propensity score matching of patients with eGFR < 30 and >30 ml/min/1.73 m² based on these predictors of outcome confirmed the primary endpoint (p = 0.886).

Conclusion

The combined endpoint of supraventricular-, ventricular tachycardia and death within 7 days was reached at a similar rate in patients independently of kidney function. Prospective randomized trials are warranted to clarify if levosimendan can be used safely in severely reduced kidney function.

Uremic Toxins and Cardiovascular Risk in Chronic Kidney Disease: What Have We Learned Recently beyond the Past Findings?

Patients with chronic kidney disease (CKD) have an elevated prevalence of atheromatous (ATH) and/or non-atheromatous (non-ATH) cardiovascular disease (CVD) due to an array of CKD-related risk factors, such as uremic toxins (UTs). Indeed, UTs have a major role in the emergence of a spectrum of CVDs, which constitute the leading cause of death in patients with end-stage renal disease. The European Uremic Toxin Work Group has identified over 100 UTs, more than 25 of which are dietary or gut-derived. Even though relationships between UTs and CVDs have been described in the literature, there are few reviews on the involvement of the most toxic compounds and the corresponding physiopathologic mechanisms. Here, we review the scientific literature on the dietary and gut-derived UTs with the greatest toxicity in vitro and in vivo. A better understanding of these toxins' roles in the elevated prevalence of CVDs among CKD patients might facilitate the development of targeted treatments. Hence, we review (i) ATH and non-ATH CVDs and the respective levels of risk in patients with CKD and (ii) the mechanisms that underlie the influence of dietary and gut-derived UTs on CVDs.

Educational intervention to improve appropriate digoxin therapeutic drug monitoring: a quasi-experimental study

OBJECTIVES

Our previous retrospecive study evaluating the appropriateness of serum digoxin concentration (SDC) measurements revealed errors in the timing of blood specimen collection in 98% of the tests. The aim of this study is to evaluate the appropriateness of the SDC measurements and the factors involved in inappropriate test-ordering, after training health personnel in digoxin therapeutic drug monitoring.

METHODS

This is a training-based quasi-experimental study. The residents and nurses of the Cardiology Clinic were trained first in December 2017, and refresher training courses were carried out every month throughout the study. The medical data of the inpatients receiving digoxin therapy were recorded prospectively, between January and December 2018. The appropriateness of the physicians' orders for SDC measurement was evaluated according to the criteria of the right indication and right timing of blood collection. The results are presented by descriptive statistics, Student's t-test and χ² analysis.

RESULTS

A total of 232 SDC tests were ordered for 121 patients (age: 71.0±12.6 years, 56.2% women). Of these orders,129 (55.6%) were considered appropriate: 205 (88.4%) for indication and 129 (62.9%) for blood collection timing. There was a significant correlation between inappropriate order for SDC test and the age of the patient, female gender, impairment of renal function tests, high levels of serum BNP and the number of medications used (P<0.005).

CONCLUSIONS

Approximately a one-half decrease in inappropriate tests compared with our previous study results imply that education has a positive effect on physician behaviour. However, physicians' concerns due to increased risk factors for the patient still play a role in inappropriate test-ordering.

Palliative Care in Heart Failure: Challenging Prognostication

Heart failure (HF) is a chronic progressive disease with high morbimortality and poor quality of life (QoL). Palliative care significantly improves clinical outcomes but few patients receive it, in part due to challenging decisions about prognosis. This retrospective study, included all patients consecutively discharged from an Acute Heart Failure Unit over a period of one year, aiming to assess the accuracy of the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score in predicting mortality. Additionally, predictors of death at one and three years were explored using a multivariate regression model. The MAGGIC score was useful in predicting mortality, without significant difference between mortality observed at three-years follow-up compared with a mortality given by the score (p=0.115). Selected variables were statistically compared showing that poor functional status, high New York Heart Association (NYHA) at discharge, psychopharmacs use, and high creatininemia were associated with higher mortality (p<0.05). The multivariate regression model identified three predictors of one-year mortality: psychopharmacs baseline use (OR=4.110; p=0.014), angiotensin-converting enzyme inhibitors/angiotensin receptor blocker (ACEI/ARB) medication at discharge (OR=0.297; p=0.033), and higher admission's creatinine (OR=2.473; p=0.028). For three-year mortality outcome, two variables were strong independent predictors: psychopharmacs (OR=3.330; p=0.022) and medication with ACEI/ARB at discharge (OR=0.285; p=0.018). Models' adjustment was assessed through the receiver operating characteristic (ROC) curve. The best model was the one-year mortality (area under the curve, AUC 81%), corresponding to a good discrimination power. Despite prognostication, when setting goals of care an individualised patient-centred approach is imperative, based on the patient's objectives and needs. Risk factors related to poorer outcomes should be considered, in particular, higher NYHA at discharge which also represents symptom burden. Hospitalisation is an opportunity to optimize global care for heart failure patients including palliative care.

The Shrunken pore syndrome is associated with poor prognosis and lower quality of life in heart failure patients: the HARVEST-Malmö study

Aims

This study aimed to investigate the association between the ‘Shrunken pore syndrome’ (SPS) and risk of death, 30 day rehospitalization, and health‐related quality of life (QoL) in heart failure (HF) patients. SPS is characterized by a difference in renal filtration between cystatin C and creatinine, resulting in a low eGFR_{cystatin C}/eGFR_creatinine ratio.

Methods and results

A total of 373 patients hospitalized for HF [mean age 74.8 (±12.1) years; 118 (31.6%) women] were retrieved from the HeARt and brain failure inVESTigation trial (HARVEST‐Malmö). Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) formulas were used for estimation of glomerular filtration rate (eGFR). Presence of SPS was defined as eGFR_{cystatin C} ≤ 60% of eGFR_creatinine. In Cox regression multivariate models, associations between SPS, risk of death (median follow‐up time 1.8 years), and risk of 30 day rehospitalization were studied. Associations between SPS and impaired QoL were studied using multivariate logistic regressions. In multivariate models, SPS was associated with all‐cause mortality [124 events; hazard ratio (HR) 1.99; 95% confidence interval (95% CI) 1.23–3.21; P = 0.005] and with 30 day rehospitalization (70 events; HR 1.82; CI 95% 1.04–3.18; P = 0.036). Analyses of QoL, based on a Kansas City Cardiomyopathy Questionnaire overall score < 50, revealed that SPS was associated with higher risk of low health‐related QoL (odds ratios 2.15; CI 95% 1.03–4.49; P = 0.042).

Conclusions

The results of this observational study show for the first time an association between SPS and poor prognosis in HF. Further studies are needed to confirm the results in HF cohorts and experimental settings to identify pathophysiological mechanisms.

High-Sensitivity Troponin for Suspected Acute Coronary Syndrome in Patients With Chronic Kidney Disease Versus Patients Without Chronic Kidney Disease

BACKGROUND

Heart disease is the leading cause of death in the United States. Patients with acute coronary syndrome (ACS) who have chronic kidney disease (CKD) have a twofold increase in mortality compared to patients with normal kidney function. Patients with CKD tend to have elevated baseline high-sensitivity cardiac troponin-T (hs-cTnT) levels. We studied patients with or without CKD to find out if a higher baseline hs-cTnT influenced the change in hs-cTnT (delta) when ruling in or ruling out ACS.

METHODS

Eighty-nine patients were included in this study (29 with CKD; 60 without CKD). Delta hs-cTnT was dichotomized based on those who had delta of ≥ 5, or < 5. We calculated the positive predictive values, negative predictive values, sensitivities and specificities. Shapiro-Wilk test and independent t-test were used for the continuous variables. Mann-Whitney U test was used to examine the variables between the two groups. Chi-square test was used to compare the categorical variables between the two groups.

RESULTS

The mean ages of patients with CKD and without CKD were 61.2 and 58.9 years, respectively (P = 0.508). We found that although there were differences in the sensitivities, specificities, positive predictive values and negative predictive values of delta hs-cTnT > 5 for ACS between the patients with CKD and without CKD, the differences were not statistically significant. Subgroup analysis showed that in patients with CKD, the positive predictive values and sensitivities of delta hs-cTnT > 5 for CAD requiring percutaneous coronary intervention (PCI) and stent were significantly higher compared to the patients without CKD (82.4% vs. 27.3%, and 82.4% vs. 40.0%, respectively) (P < 0.05).

CONCLUSIONS

In calculating delta hs-cTnT to rule in or rule out ACS, the presence of CKD does not influence the delta. Patients with CKD and a delta hs-cTnT > 5 have significantly higher risk of undergoing PCI.

Predictors of heart-focused anxiety in patients with stable heart failure

BACKGROUND

It has been shown that heart-focused anxiety raises the risk of adverse outcomes in patients with heart disease. Yet, there is a lack of studies investigating this association. We aim at identifying predictors of heart-focused anxiety in patients with stable heart failure to facilitate the identification of individuals with increased risk for adverse outcomes.

METHODS

We assessed heart-focused anxiety and a set of psychological, demographic/lifestyle, and medical/laboratory variables in a sample of 107 patients with stable chronic heart failure to identify predictors of heart-focused anxiety.

RESULTS

Heart-focused anxiety was best predicted by self-reported anxiety and quality of life. Moreover, the personality dimension conscientiousness as well as physical activity, and the laboratory value of renal function, the estimated glomerular filtration rate (eGFR), had predictive validity for heart-focused anxiety.

LIMITATIONS

The present findings should be replicated in a longitudinal design with a less selective sample including more women and participants with more divers ethnical backgrounds.

CONCLUSION

Heart-focused anxiety is predictable by psychological and lifestyle variables. eGFR, as a laboratory marker for renal function, showed also predictive validity. The awareness of such predictors may help detecting comorbid underlying heart-focused anxiety and thus identify patients with an increased need for psychological care.

How High-Risk Comorbidities Co-Occur in Readmitted Patients With Hip Fracture: Big Data Visual Analytical Approach

BACKGROUND

When older adult patients with hip fracture (HFx) have unplanned hospital readmissions within 30 days of discharge, it doubles their 1-year mortality, resulting in substantial personal and financial burdens. Although such unplanned readmissions are predominantly caused by reasons not related to HFx surgery, few studies have focused on how pre-existing high-risk comorbidities co-occur within and across subgroups of patients with HFx.

OBJECTIVE

This study aims to use a combination of supervised and unsupervised visual analytical methods to (1) obtain an integrated understanding of comorbidity risk, comorbidity co-occurrence, and patient subgroups, and (2) enable a team of clinical and methodological stakeholders to infer the processes that precipitate unplanned hospital readmission, with the goal of designing targeted interventions.

METHODS

We extracted a training data set consisting of 16,886 patients (8443 readmitted patients with HFx and 8443 matched controls) and a replication data set consisting of 16,222 patients (8111 readmitted patients with HFx and 8111 matched controls) from the 2010 and 2009 Medicare database, respectively. The analyses consisted of a supervised combinatorial analysis to identify and replicate combinations of comorbidities that conferred significant risk for readmission, an unsupervised bipartite network analysis to identify and replicate how high-risk comorbidity combinations co-occur across readmitted patients with HFx, and an integrated visualization and analysis of comorbidity risk, comorbidity co-occurrence, and patient subgroups to enable clinician stakeholders to infer the processes that precipitate readmission in patient subgroups and to propose targeted interventions.

RESULTS

The analyses helped to identify (1) 11 comorbidity combinations that conferred significantly higher risk (ranging from P<.001 to P=.01) for a 30-day readmission, (2) 7 biclusters of patients and comorbidities with a significant bicluster modularity (P<.001; Medicare=0.440; random mean 0.383 [0.002]), indicating strong heterogeneity in the comorbidity profiles of readmitted patients, and (3) inter- and intracluster risk associations, which enabled clinician stakeholders to infer the processes involved in the exacerbation of specific combinations of comorbidities leading to readmission in patient subgroups.

CONCLUSIONS

The integrated analysis of risk, co-occurrence, and patient subgroups enabled the inference of processes that precipitate readmission, leading to a comorbidity exacerbation risk model for readmission after HFx. These results have direct implications for (1) the management of comorbidities targeted at high-risk subgroups of patients with the goal of pre-emptively reducing their risk of readmission and (2) the development of more accurate risk prediction models that incorporate information about patient subgroups.

β-Blocker Use and Risk of Mortality in Heart Failure Patients Initiating Maintenance Dialysis

RATIONAL & OBJECTIVE

Beta-blockers are recommended for patients with heart failure (HF) but their benefit in the dialysis population is uncertain. Beta-blockers are heterogeneous, including with respect to their removal by hemodialysis. We sought to evaluate whether β-blocker use and their dialyzability characteristics were associated with early mortality among patients with chronic kidney disease with HF who transitioned to dialysis.

STUDY DESIGN

Retrospective cohort study.

SETTING & PARTICIPANTS

Adults patients with chronic kidney disease (aged≥18 years) and HF who initiated either hemodialysis or peritoneal dialysis during January 1, 2007, to June 30, 2016, within an integrated health system were included.

EXPOSURES

Patients were considered treated with β-blockers if they had a quantity of drug dispensed covering the dialysis transition date.

OUTCOMES

All-cause mortality within 6 months and 1 year or hospitalization within 6 months after transition to maintenance dialysis.

ANALYTICAL APPROACH

Inverse probability of treatment weights using propensity scores was used to balance covariates between treatment groups. Cox proportional hazard analysis and logistic regression were used to investigate the association between β-blocker use and study outcomes.

RESULTS

3,503 patients were included in the study. There were 2,115 (60.4%) patients using β-blockers at transition. Compared with nonusers, the HR for all-cause mortality within 6 months was 0.79 (95% CI, 0.65-0.94) among users of any β-blocker and 0.68 (95% CI, 0.53-0.88) among users of metoprolol at transition. There were no observed differences in all-cause or cardiovascular-related hospitalization.

LIMITATIONS

The observational nature of our study could not fully account for residual confounding.

CONCLUSIONS

Beta-blockers were associated with a lower rate of mortality among incident hemodialysis patients with HF. Similar associations were not observed for hospitalizations within the first 6 months following transition to dialysis.

Management of hyperkalaemia in acute kidney injury in a heart failure patient with patiromer

AIMS

One prevalent comorbidity of chronic heart failure (CHF) is chronic kidney disease(CKD). Hyperkalemia is associated with both CHF and CKD, which often leads to withdrawal of heart failure medications in clinical praxis.

METHODS AND RESULTS

A patient is presented who suffered from acute kidney injury with pre-existing CKD as heart failure comorbidity and a history of hyperkalemia.

CONCLUSIONS

This case shows that potassium levels remained stable in acute kidney injury under ongoing heart failure medications, including an MRA, with the use of the potassium binder patiromer.

Cardiac biomarkers of heart failure in chronic kidney disease

Heart failure remains a continuing threat to patients with chronic kidney disease (CKD). Although various heart failure biomarkers have been applied for early detection, diagnosis and prognosis in CKD, these are easily affected by renal insufficiency thus limiting use in these patients. In this review, the major four groups of heart failure biomarkers are explored. These include those associated with: myocardial stretch, ie, brain natriuretic peptide (BNP), N-terminal pro-BNP (NT-proBNP) and mid-regional proatrial natriuretic peptide (MR-proANP); myocyte injury, ie, high-sensitivity troponin T (hsTnT), heart-type fatty acid-binding protein (H-FABP); fibrosis, matrix remodelling and inflammation, ie, soluble growth stimulating gene 2 (sST2), galectin-3 (Gal-3), growth differentiation factor-15 (GDF-15); and renal function, ie, neutrophil gelatinase-associated lipocalin (NGAL) kidney injury molecule-1 (KIM-1), cystatin C (CysC), urinary sodium and urinary albumin. This review highlights classic heart failure biomarkers with critical values adjusted to glomerular filtration rate, summarizes research progress of new heart failure biomarkers and future research directions. Because diagnostic and prognostic usefulness of a single time point biomarker is limited, biomarkers should be combined and monitored at multiple times for optimal clinical impact.

Cardiorenal syndrome: Multi-organ dysfunction involving the heart, kidney and vasculature

Cardiorenal syndrome (CRS) is a multi-organ disease, encompassing heart, kidney and vascular system dysfunction. CRS is a worldwide problem, with high morbidity, mortality, and inflicts a significant burden on the health care system. The pathophysiology is complex, involving interactions between neurohormones, inflammatory processes, oxidative stress and metabolic derangements. Therapies remain inadequate, mainly comprising symptomatic care with minimal prospect of full recovery. Challenges include limiting the contradictory effects of multi-organ targeted drug prescriptions and continuous monitoring of volume overload. Novel strategies such as multi-organ transplantation and innovative dialysis modalities have been considered but lack evidence in the CRS context. The adjunct use of pharmaceuticals targeting alternative pathways showing positive results in preclinical models also warrants further validation in the clinic. In recent years, studies have identified the involvement of gut dysbiosis, uraemic toxin accumulation, sphingolipid imbalance and other unconventional contributors, which has encouraged a shift in the paradigm of CRS therapy.

Impacts of exercise intervention on various diseases in rats

BACKGROUND

Exercise is considered as an important intervention for treatment and prevention of several diseases, such as osteoarthritis, obesity, hypertension, and Alzheimer's disease. This review summarizes decadal exercise intervention studies with various rat models across 6 major systems to provide a better understanding of the mechanisms behind the effects that exercise brought.

METHODS

PubMed was utilized as the data source. To collect research articles, we used the following terms to create the search: (exercise [Title] OR physical activity [Title] OR training [Title]) AND (rats [Title/Abstract] OR rat [Title/Abstract] OR rattus [Title/Abstract]). To best cover targeted studies, publication dates were limited to "within 11 years." The exercise intervention methods used for different diseases were sorted according to the mode, frequency, and intensity of exercise.

RESULTS

The collected articles were categorized into studies related to 6 systems or disease types: motor system (17 articles), metabolic system (110 articles), cardiocerebral vascular system (171 articles), nervous system (71 articles), urinary system (2 articles), and cancer (21 articles). Our review found that, for different diseases, exercise intervention mostly had a positive effect. However, the most powerful effect was achieved by using a specific mode of exercise that addressed the characteristics of the disease.

CONCLUSION

As a model animal, rats not only provide a convenient resource for studying human diseases but also provide the possibility for exploring the molecular mechanisms of exercise intervention on diseases. This review also aims to provide exercise intervention frameworks and optimal exercise dose recommendations for further human exercise intervention research.

Bone Mineral Density in Relation to Chronic Kidney Disease After Heart Transplantation: A Retrospective Single-center Study at Skåne University Hospital in Lund 1988-2016

Background.

Our aim was to investigate the bone mineral density (BMD) evolution and incidence of osteoporosis in relation to chronic kidney disease (CKD) up to 10 years after heart transplantation (HT).

Methods.

A retrospective analysis was performed on 159 HT patients at Skåne University Hospital in Lund 1988–2016.

Results.

The median follow-up time was 6.1 years (interquartile range = 7.5 y). HT patients with CKD stage <3 or normal kidney function before HT exhibited a greater mean BMD loss in the lumbar spine, compared to patients with CKD stage ≥3 before HT, at the first (−6.6% versus −2.5%, P = 0.029), second (−3.7% versus 2.1%, P = 0.018), and third (−2.0% versus 4.1%, P = 0.047) postoperative years, respectively. All included HT patients exhibited a BMD loss in the femoral neck at the first postoperative year (−8.8% [−10.3 to −7.3] in patients with CKD stage <3 or normal kidney function and −9.3% [−13.2 to −5.5] in patients with CKD stage ≥3 before HT), which was not fully reversed up to 10 years after HT. In adjusted models, CKD stage <3 before HT did not predict osteopenia and osteoporosis in the lumbar spine or femoral neck.

Conclusions.

CKD before HT did not predict BMD loss or osteoporosis development after HT. The study is, however, limited by a lack of data on fractures, and further studies on the relationship between CKD and postoperative bone strength are encouraged.

Costs and factors associated with heart failure following kidney transplantation - a single-center retrospective cohort study

The number of adults with heart failure (HF) will increase by ~50% between 2012 and 2030. Among kidney transplant recipients, HF accounts for 16% of all post-transplant admissions. We describe the burden of HF and predictors of healthcare utilization following kidney transplantation. We retrospectively identified adults who underwent kidney transplantation at our institution (01/2007-12/2017). Data were acquired from electronic health records, with healthcare utilization obtained from a statewide database. The HF incidence rate and prevalence were estimated for each year, total charges for HF and non-HF patients were compared, and logistic regression was employed for a 3-year predictive model of healthcare utilization associated with HF. Among 1731 kidney transplant recipients, the post-transplant HF incidence rate ranged from 1.91 (year 3) to 6.80 (year 10) per 100 person-years, while the prevalence increased from 31.7% (year 1) to 48.1% (year 10). Median charges were $75 837 (HF) compared to $42 940 (non-HF) per person-year (P < 0.001). Pretransplant HF [odds ratio (OR) = 3.12] and an eGFR < 45 (OR = 4.73) were the strongest predictors of HF encounters (P < 0.05 for both). We observed a high and increasing prevalence of HF, which was associated with twice the costs. Kidney transplant recipients would benefit from interventions aimed at mitigating HF risk factors.

Evolving concepts in the pathogenesis of uraemic cardiomyopathy

The term uraemic cardiomyopathy refers to the cardiac abnormalities that are seen in patients with chronic kidney disease (CKD). Historically, this term was used to describe a severe cardiomyopathy that was associated with end-stage renal disease and characterized by severe functional abnormalities that could be reversed following renal transplantation. In a modern context, uraemic cardiomyopathy describes the clinical phenotype of cardiac disease that accompanies CKD and is perhaps best characterized as diastolic dysfunction seen in conjunction with left ventricular hypertrophy and fibrosis. A multitude of factors may contribute to the pathogenesis of uraemic cardiomyopathy, and current treatments only modestly improve outcomes. In this Review, we focus on evolving concepts regarding the roles of fibroblast growth factor 23 (FGF23), inflammation and systemic oxidant stress and their interactions with more established mechanisms such as pressure and volume overload resulting from hypertension and anaemia, respectively, activation of the renin-angiotensin and sympathetic nervous systems, activation of the transforming growth factor-β (TGFβ) pathway, abnormal mineral metabolism and increased levels of endogenous cardiotonic steroids.

Bioactive peptides attenuate cardiac hypertrophy and fibrosis in spontaneously hypertensive rat hearts

Alcalase potato protein hydrolysate (APPH), a nutraceutical food, might an have important role in anti-obesity activity. Recent studies from our lab indicated that APPH treatment had lipolysis stimulating activity and identified was an efficient anti-obesity diet ingredient. In this study we aim to investigate the beneficial effects of pure peptide amino acid sequences (DIKTNKPVIF (DI) and IF) from APPH supplement in the regulation of cardiac hypertrophy and fibrosis on spontaneously hypertensive rats (SHR). We examined hematoxylin and eosin staining, Masson's trichrome staining, echocardiographic parameters, serum parameters, hypertrophy, inflammation and fibrotic marker expression to demonstrate efficacy of bioactive peptides in a SHR model. There was a significant upregulation between SHR and bioactive peptides treated groups in left heart weight (LHW), LHW/WHW, LHW/Tibia, LVIDd, and LVd mass. In addition, the bioactive peptides repress the protein expression of hypertrophy markers (BNP, MYH7), inflammation (TLR-4, p-NFkB, TNF-α, IL-6), and fibrotic markers (uPA, MMP-2, TIMP1, CTGF). In summary, these results indicate that DI and IF bioactive peptides from APPH attenuate cardiac hypertrophy, inflammation and fibrosis in the SHR model.

Risk of Kidney Dysfunction from Polypharmacy among Older Patients: A Nested Case-Control Study of the South Korean Senior Cohort

Polypharmacy, the concurrent use of multiple medicines, could increase the risk of kidney dysfunction among older adults because it likely burdens the aging kidneys to excrete multiple pharmaceutical ingredients and their metabolites. This study aimed to examine the relation between polypharmacy and kidney dysfunction among older patients. A nested case-control study was conducted using the National Health Insurance Service - Senior Cohort (NHIS-SC, 2009-2013), representative of the Korean senior population. It consisted of all health insurance claims linked to records of mandatory health examination. Kidney dysfunction was defined as having an eGFR lower than 60, with a decline rate of 10% or more compared to the baseline eGFR. Polypharmacy was defined based on daily counts of pharmaceutical ingredients during one year prior to the case's event date. It was classified into polypharmacy (five to 10 ingredients) and excessive polypharmacy (10 or more ingredients). After matching case and control groups based on a range of potential confounders, conditional logistic regression was performed incorporating adjustments on disease-specific, medication-specific, and lifestyle-related risk factors. The matching resulted in 14,577 pairs of cases and controls. Exposure to polypharmacy was significantly associated with increase in the risk of kidney dysfunction; i.e., crude model (polypharmacy: OR = 1.572, 95% CI = 1.492-1.656; excessive polypharmacy: OR = 2.069, 95% CI = 1.876-2.283) and risk adjustment model (polypharmacy: OR = 1.213, 95% CI = 1.139-1.292; excessive polypharmacy: OR = 1.461, 95% CI = 1.303-1.639). The significant associations were robust across different definitions of kidney dysfunction. These findings inform healthcare providers and policy makers of the importance of polypharmacy prevention to protect older adults from kidney dysfunction.

Exploring Different Strategies of Assessing the Economic Impact of Multiple Diabetes-Associated Complications and Their Interactions: A Large Claims-Based Study in Germany

BACKGROUND

In the context of an aging population with increasing diabetes prevalence, people are living longer with diabetes, which leads to increased multimorbidity and economic burden.

OBJECTIVE

The primary aim was to explore different strategies that address the economic impact of multiple type 2 diabetes-related complications and their interactions.

METHODS

We used a generalized estimating equations approach based on nationwide statutory health insurance data from 316,220 patients with type 2 diabetes (baseline year 2012, 3 years of follow-up). We estimated annual total costs (in 2015 euros) for type 2 diabetes-related complications and, in addition, explored different strategies to assess diabetes-related multimorbidity: number of prevalent complications, co-occurrence of micro- and macrovascular complications, disease-disease interactions of prevalent complications, and interactions between prevalent/incident complications.

RESULTS

The increased number of complications was significantly associated with higher total costs. Further assessment of interactions showed that macrovascular complications (e.g., chronic heart failure) and high-cost complications (e.g., end-stage renal disease, amputation) led to significant positive effects of interactions on costs, whereas early microvascular complications (e.g., retinopathy) caused negative interactions. The chronology of the onset of these complications turned out to have an additional impact on the interactions and their effect on total costs.

CONCLUSIONS

Health economic diabetes models and evaluations of interventions in patients with diabetes-related complications should pay more attention to the economic effect of specific disease interactions. Politically, our findings support the development of more integrated diabetes care programs that take better account of multimorbidity. Further observational studies are needed to elucidate the shared pathogenic mechanisms of diabetes complications.

Sleep disorders: Serious threats among kidney transplant recipients

In patients with chronic kidney disease (CKD) and kidney transplant recipients who continue to have some degree of CKD, the prevalence of sleep-related disorders is very high. Common sleep disorders in both groups include insomnia, sleep-disordered breathing (SDB), restless legs syndrome (RLS), excessive daytime sleepiness (EDS), and others. Depending on the kidney graft function, some patients see sleep disorders resolve after kidney transplantation, while others continue to have persistent sleep disorders or develop new ones. Kidney transplant recipients (KTRs) are unique patients due to the presence of a single kidney, the use of immunosuppressive medications, and other comorbidities including obesity, a high risk of cardiovascular disease, malignancy, and the anxiety of losing their allograft. All of these factors contribute to the risk for sleep disorders. CKD and sleep disorders have a bidirectional relationship; that is, CKD may increase the risk of sleep disorders and sleep disorders may increase the risk of CKD. Obstructive sleep apnea (OSA) is the most common form of SDB and is known to alter renal hemodynamics. OSA leads to hypoxemia and sleeps fragmentation, which activates the sympathetic nervous system. This activates the renin-angiotensin-aldosterone system and ultimately alters cardiovascular hemodynamics. Sleep disorders may have deleterious effects on the kidney allograft and proper screening and management are important for both graft and patient survival.

The role of irradiated heart and left ventricular volumes in heart failure occurrence after childhood cancer

BACKGROUND

Paediatric cancer survivors have a high risk of developing cardiac diseases, and the most frequent cardiac disease is heart failure (HF). The radiation dose-volume effects in the heart and cardiac substructures have not been explored in childhood cancer survivors (CCS). Therefore, the role of irradiated heart volume in the occurrence of HF among this population remains unclear. The aims of this study were to determine the doses and irradiated volumes of the heart and left ventricle (LV) related to the risk of HF in CCS and to investigate the impact of anthracycline exposure on this risk.

METHODS AND RESULTS

A case-control study nested in the French Childhood Cancer Survivors Study cohort. The mean heart and left ventricular doses and volumes indicators were estimated by reconstruction of individual treatments. A total of 239 HF cases and 1042 matched controls were included. The median age of HF diagnosis was 25.1 years. The median volume of the heart that received ≥ 30 Gy was 61.1% for cases and 16.9% for controls. In patients who did not receive anthracycline, the risk of HF was increased 3.6-fold when less than 10% of the LV received ≥ 30 Gy when compared to patients who were not exposed to any cardiac radiation and anthracycline.

CONCLUSIONS

Small irradiated volumes of the heart or LV were significantly associated with HF risk. To the author's knowledge, this is the first study to report a dose-response relationship based on dose-volume indicators in CCS, which can be translated efficiently into current clinical practice.

Development of a health economic model to evaluate the potential benefits of optimal serum potassium management in patients with heart failure

AIMS

Patients with heart failure are at increased risk of hyperkalemia, particularly when treated with renin-angiotensin-aldosterone system inhibitor (RAASi) agents. This study developed a model to quantify the potential health and economic value associated with sustained potassium management and optimal RAASi therapy in heart failure patients.

MATERIALS AND METHODS

A patient-level, fixed-time increment stochastic simulation model was designed to characterize the progression of heart failure through New York Heart Association functional classes, and predict associations between serum potassium levels, RAASi use, and consequent long-term outcomes. Following internal and external validation exercises, model analyses sought to quantify the health and economic benefits of optimizing both serum potassium levels and RAASi therapy in heart failure patients. Analyses were conducted using a UK payer perspective, independent of costs and utilities related to pharmacological potassium management.

RESULTS

Validation against multiple datasets demonstrated the predictive capability of the model. Compared to those who discontinued RAASi to manage serum potassium, patients with normokalemia and ongoing RAASi therapy benefited from longer life expectancy (+1.38 years), per-patient quality-adjusted life year gains (+0.53 QALYs), cost savings (£110), and associated net monetary benefit (£10,679 at £20,000 per QALY gained) over a lifetime horizon. The predicted value of sustained potassium management and ongoing RAASi treatment was largely driven by reduced mortality and hospitalization risks associated with optimal RAASi therapy.

LIMITATIONS

Several modeling assumptions were made to account for a current paucity of published literature; however, ongoing refinement and validation of the model will ensure its continued accuracy as the clinical landscape of hyperkalemia evolves.

CONCLUSIONS

Predictions generated by this novel modeling approach highlight the value of sustained potassium management to avoid hyperkalemia, enable RAASi therapy, and improve long-term health economic outcomes in patients with heart failure.