Microbial metabolites in chronic heart failure and its common comorbidities
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ABSTRACT:
SUBMITTER: Sha Hua
PROVIDER: S-SCDT-10_15252-EMMM_202216928 | biostudies-other |
REPOSITORIES: biostudies-other
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Project description:Non-cardiac comorbidity complicates heart failure care and is prevalent in one form or another for the majority of elderly patients with heart failure. This wide range of comorbidities, which includes respiratory comorbidities, renal dysfunction, anaemia, arthritis, cognitive dysfunction and depression, contributes to the progression of the disease and may alter the response to treatment. Polypharmacy is inevitable in these patients. Cardiologists and other physicians caring for patients with chronic heart failure (CHF) need to be vigilant to comorbid conditions that may complicate the care of these patients. Future trials should focus on optimal strategies for the comprehensive management of the elderly patients with CHF with multiple comorbidities rather than the isolated effects of single drugs in younger patients with few or no comorbidities.
| S-EPMC1955190 | biostudies-literature
Project description:AimsIt is increasingly recognized that the presence of comorbidities substantially contributes to the disease burden in patients with heart failure (HF). Several reports have suggested that clustering of comorbidities can lead to improved characterization of the disease phenotypes, which may influence management of the individual patient. Therefore, we aimed to cluster patients with HF based on medical comorbidities and their treatment and, subsequently, compare the clinical characteristics between these clusters.Methods and resultsA total of 603 patients with HF entering an outpatient HF rehabilitation programme were included [median age 65 years (interquartile range 56-71), 57% ischaemic origin of cardiomyopathy, and left ventricular ejection fraction 35% (26-45)]. Exercise performance, daily life activities, disease-specific health status, coping styles, and personality traits were assessed. In addition, the presence of 12 clinically relevant comorbidities was recorded, based on targeted diagnostics combined with applicable pharmacotherapies. Self-organizing maps (SOMs; www.viscovery.net) were used to visualize clusters, generated by using a hybrid algorithm that applies the classical hierarchical cluster method of Ward on top of the SOM topology. Five clusters were identified: (1) a least comorbidities cluster; (2) a cachectic/implosive cluster; (3) a metabolic diabetes cluster; (4) a metabolic renal cluster; and (5) a psychologic cluster. Exercise performance, daily life activities, disease-specific health status, coping styles, personality traits, and number of comorbidities were significantly different between these clusters.ConclusionsDistinct combinations of comorbidities could be identified in patients with HF. Therapy may be tailored based on these clusters as next step towards precision medicine. The effect of such an approach needs to be prospectively tested.
| S-EPMC8787997 | biostudies-literature
Project description:AimsChronic heart failure (CHF) has an increasing burden of comorbidities, which affect clinical outcomes. Few studies have focused on the clustering and hierarchical management of patients with CHF based on comorbidity. This study aimed to explore the cluster model of CHF patients based on comorbidities and to verify their relationship with clinical outcomes.Methods and resultsElectronic health records of patients hospitalized with CHF from January 2014 to April 2019 were collected, and 12 common comorbidities were included in the latent class analysis. The Fruchterman-Reingold layout was used to draw the comorbidity network, and analysis of variance was used to compare the weighted degrees among them. The incidence of clinical outcomes among different clusters was presented on Kaplan-Meier curves and compared using the log-rank test, and the hazard ratio was calculated using the Cox proportional risk model. Sensitivity analysis was performed according to the left ventricular ejection fraction. Four different clinical clusters from 4063 total patients were identified: metabolic, ischaemic, high comorbidity burden, and elderly-atrial fibrillation. Compared with the metabolic cluster, patients in the high comorbidity burden cluster had the highest adjusted risk of combined outcome and all-cause mortality {1.67 [95% confidence interval (CI), 1.40-1.99] and 2.87 [95% CI, 2.17-3.81], respectively}, followed by the elderly-atrial fibrillation and ischaemic clusters. The adjusted readmission risk of patients with ischaemic, high comorbidity burden, and elderly-atrial fibrillation clusters were 1.35 (95% CI, 1.08-1.68), 1.39 (95% CI, 1.13-1.72), and 1.42 (95% CI, 1.14-1.77), respectively. The comorbidity network analysis found that patients in the high comorbidity burden cluster had more and higher comorbidity correlations than those in other clusters. Sensitivity analysis revealed that patients in the high comorbidity burden cluster had the highest risk of combined outcome and all-cause mortality (P < 0.05).ConclusionsThe difference in adverse outcomes among clusters confirmed the heterogeneity of CHF and the importance of hierarchical management. This study can provide a basis for personalized treatment and management of patients with CHF, and provide a new perspective for clinical decision making.
| S-EPMC8788137 | biostudies-literature
Project description:BACKGROUND:Chronic heart failure (CHF) is the most common reason for hospital admissions in Germany. For the National Disease Management Guideline (NDMG) on CHF, a multidisciplinary expert panel revised the chapters on drug therapy, invasive therapy, and care coordination, following the methods of evidence-based medicine. METHODS:Recommendations are based on international guideline adaptations or systematic literature search. They were developed by a multidisciplinary expert panel, approved in a formal consensus procedure, and tested in open consultation, as specified by the requirements for S3 guidelines. RESULTS:The pharmacological treatment is based on ACE inhibitors, beta-blockers and mineralocorticoid receptor antagonists as well as diuretics to treat fluid retention, if present. Sacubitril/Valsartan and ivabradine showed positive effects on mortality in large but methodologically limited RCT. They are recommended if established combination therapy is not sufficient for symptom control, or if drugs are not tolerated/contraindicated. The indications for pacemakers or defibrillators have been confined to patient subgroups in which clinical trials have shown a clear benefit. Moreover, the goals of treatment and the patient's expectations should be aligned with each other. Structured care programs, specialized nurses, remote, or telephone monitoring showed moderate effects on patient related outcomes in RCT. CONCLUSION:All patients with heart failure are suggested to be enrolled in a structured program (e.g., a disease management program) including coordinated multidisciplinary care and continuous educational interventions. In patients with a poor prognosis, more intensive care is recommended, e.g. specialized nurses, or telephone support.
| S-EPMC5852309 | biostudies-other
Project description:Heart failure (HF) is a common disease with high morbidity and mortality; however, none of the drugs available are now entirely optimal for the treatment of HF. In addition to various clinical diseases and environment influences, genetic factors also contribute to the development and progression of HF. Identifying the common variants for HF by genome-wide association studies will facilitate the understanding of pathophysiological mechanisms underlying HF. This review summarizes the recently identified common variants for HF risk and outcome and discusses their implications for the clinic therapy.
| S-EPMC4467308 | biostudies-literature
Project description:FASILOX analysis of heart and lung tissue form mice with heart failure with preserved ejection fraction and several comorbidities.
2024-10-02 | PXD056447 | JPOST Repository
Project description:Heart failure (HF) is a growing global epidemic and an increasingly cumbersome burden on health care systems worldwide. As such, optimal management of existing comorbidities in the setting of HF is particularly important to prevent disease progression, reduce HF hospitalizations, and improve quality of life. In this review, the authors address 3 key comorbidities commonly associated with HF: hypertension, atrial fibrillation, and diabetes mellitus. They comprehensively describe the epidemiology, management, and emerging therapies in these 3 disease states as they relate to the overall HF syndrome.
| S-EPMC7479642 | biostudies-literature
Project description:AimsThe primary objective of this systematic review was to estimate the prevalence and temporal changes in chronic comorbid conditions reported in heart failure (HF) clinical trials.Methods and resultsWe searched MEDLINE for HF trials enrolling more than 400 patients published between 2001 and 2016.Trials were divided into HF with reduced ejection fraction (HFrEF), HF with preserved ejection fraction (HFpEF), or trials enrolling regardless of ejection fraction. The prevalence of baseline chronic comorbid conditions was categorized according to the algorithm proposed by the Chronic Conditions Data Warehouse, which is used to analyse Medicare data. To test for a trend in the prevalence of comorbid conditions, linear regression models were used to evaluate temporal trends in prevalence of comorbidities. Overall, 118 clinical trials enrolling a cumulative total of 215 508 patients were included. Across all comorbidities examined, data were reported in a mean of 35% of trials, without significant improvement during the study period. Reporting of comorbidities was more common in HFrEF trials (51%) compared with HFpEF trials (27%). Among trials reporting data, hypertension (63%), ischaemic heart disease (44%), hyperlipidaemia (48%), diabetes (33%), chronic kidney disease (25%) and atrial fibrillation (25%) were the major comorbidities. The prevalence of comorbidities including hypertension, atrial fibrillation and chronic kidney disease increased over time while the prevalence of smoking decreased in HFrEF trials.ConclusionMany HF trials do not report baseline comorbidities. A more rigorous, systematic, and standardized framework needs to be adopted for future clinical trials to ensure adequate comorbidity reporting and improve recruitment of multi-morbid HF patients.
| S-EPMC7906002 | biostudies-literature
Project description:As patients with heart failure with preserved ejection fraction (HFpEF) present with multiple comorbidities, we hypothesized, that metabolic syndrome in aging animals could lead to the development of diastolic dysfunction and HFpEF. HFpEF is a common complex morbid syndrome for which there are currently little evidence-based therapies. Obesity-prone rats were exposed to high-fat diet and compared to obesity-resistant rats fed with standard chow. Phenotyping of metabolic syndrome, associated with echocardiographic and cardiac hemodynamic measurements, was performed after 4 and 12 months. Blood and myocardial tissue sampling were performed for pathobiological evaluation. High-fat diet in obesity-prone rats elicited metabolic syndrome, characterized by increased body and abdominal fat weights, glucose intolerance and hyperlipidemia, as well as increased left ventricular (LV) systolic pressure (after 12 months). This was associated with LV diastolic dysfunction (assessed by increased LV end-diastolic pressure) and pulmonary hypertension (assessed by increased right ventricular systolic pressure). Echocardiography revealed significant concentric LV hypertrophy, while LV ejection fraction was preserved. LV remodeling was associated with cardiomyocyte hypertrophy, as well as myocardial and perivascular fibrosis. Circulating levels of soluble ST2 markedly increased in rats with HFpEF, while plasma NT-proBNP levels decreased. RNA-sequencing analysis identified clusters of genes implicated in fatty acid metabolism and calcium-dependent contraction as upregulated pathways in the myocardium of rats with HFpEF. High-fat diet during 12 months in obesity-prone rats led to the development of a relevant preclinical model of HFpEF with multiple comorbidities, suitable for investigating novel therapeutic interventions.
2022-02-02 | GSE189190 | GEO
Project description:PurposeTo determine the impact of non-cardiovascular comorbidities on the health-related quality of life (HRQoL) of patients with chronic heart failure (CHF).MethodsA scoping review of the scientific literature published between 2009 and 2019 was carried out. Observational studies which assessed the HRQoL of patients with CHF using validated questionnaires and its association with non-cardiovascular comorbidities were included.ResultsThe search identified 1904 studies, of which 21 fulfilled the inclusion criteria to be included for analysis. HRQoL was measured through specific, generic, or both types of questionnaires in 72.2%, 16.7%, and 11.1% of the studies, respectively. The most common comorbidities studied were diabetes mellitus (12 studies), mental and behavioral disorders (8 studies), anemia and/or iron deficiency (7 studies), and respiratory diseases (6 studies). Across studies, 93 possible associations between non-cardiovascular comorbidities and HRQoL were tested, of which 21.5% regarded anemia or iron deficiency, 20.4% mental and behavioral disorders, 20.4% diabetes mellitus, and 14.0% respiratory diseases. Despite the large heterogeneity across studies, all 21 showed that the presence of a non-cardiovascular comorbidity had a negative impact on the HRQoL of patients with CHF. A statistically significant impact on worse HRQoL was found in 84.2% of associations between mental and behavioral disorders and HRQoL (patients with depression had up to 200% worse HRQoL than patients without depression); 73.7% of associations between diabetes mellitus and HRQoL (patients with diabetes mellitus had up to 21.8% worse HRQoL than patients without diabetes mellitus); 75% of associations between anemia and/or iron deficiency and HRQoL (patients with anemia and/or iron deficiency had up to 25.6% worse HRQoL than between patients without anemia and/or iron deficiency); and 61.5% of associations between respiratory diseases and HRQoL (patients with a respiratory disease had up to 21.3% worse HRQoL than patients without a respiratory disease).ConclusionThe comprehensive management of patients with CHF should include the management of comorbidities which have been associated with a worse HRQoL, with special emphasis on anemia and iron deficiency, mental and behavioral disorders, diabetes mellitus, and respiratory diseases. An adequate control of these comorbidities may have a positive impact on the HRQoL of patients.
| S-EPMC7542693 | biostudies-literature