23 research outputs found
Age is the main determinant of COVID-19 related in-hospital mortality with minimal impact of pre-existing comorbidities, a retrospective cohort study
BACKGROUND: Age and comorbidities increase COVID-19 related in-hospital mortality risk, but the extent by which comorbidities mediate the impact of age remains unknown. METHODS: In this multicenter retrospective cohort study with data from 45 Dutch hospitals, 4806 proven COVID-19 patients hospitalized in Dutch hospitals (between February and July 2020) from the CAPACITY-COVID registry were included (age 69[58–77]years, 64% men). The primary outcome was defined as a combination of in-hospital mortality or discharge with palliative care. Logistic regression analysis was performed to analyze the associations between sex, age, and comorbidities with the primary outcome. The effect of comorbidities on the relation of age with the primary outcome was evaluated using mediation analysis. RESULTS: In-hospital COVID-19 related mortality occurred in 1108 (23%) patients, 836 (76%) were aged ≥70 years (70+). Both age 70+ and female sex were univariably associated with outcome (odds ratio [OR]4.68, 95%confidence interval [4.02–5.45], OR0.68[0.59–0.79], respectively;both p<  0.001). All comorbidities were univariably associated with outcome (p<0.001), and all but dyslipidemia remained significant after adjustment for age70+ and sex. The impact of comorbidities was attenuated after age-spline adjustment, only leaving female sex, diabetes mellitus (DM), chronic kidney disease (CKD), and chronic pulmonary obstructive disease (COPD) significantly associated (female OR0.65[0.55–0.75], DM OR1.47[1.26–1.72], CKD OR1.61[1.32–1.97], COPD OR1.30[1.07–1.59]). Pre-existing comorbidities in older patients negligibly (<6% in all comorbidities) mediated the association between higher age and outcome. CONCLUSIONS: Age is the main determinant of COVID-19 related in-hospital mortality, with negligible mediation effect of pre-existing comorbidities
T1 and T2 mapping for evaluation of myocardial involvement in patients with ANCA-associated vasculitides
Role of targeted therapy in dilated cardiomyopathy: the challenging road toward a personalized approach
Prevalence and prognostic relevance of cardiac involvement in ANCA-associated vasculitis: eosinophilic granulomatosis with polyangiitis and granulomatosis with polyangiitis
To investigate the prevalence and prognostic relevance of cardiac involvement in an ANCA-associated vasculitis (AAV) population of eosinophilic granulomatosis with polyangiitis (EGPA) and granulomatosis with polyangiitis (GPA) patients.publisher: Elsevier
articletitle: Prevalence and prognostic relevance of cardiac involvement in ANCA-associated vasculitis: Eosinophilic granulomatosis with polyangiitis and granulomatosis with polyangiitis
journaltitle: International Journal of Cardiology
articlelink: http://dx.doi.org/10.1016/j.ijcard.2015.06.087
content_type: article
copyright: Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.status: publishe
Precision phenotyping of dilated cardiomyopathy using multidimensional data.
BACKGROUND: Dilated cardiomyopathy (DCM) is a final common manifestation of heterogenous etiologies. Adverse outcomes highlight the need for disease stratification beyond ejection fraction. OBJECTIVES: The purpose of this study was to identify novel, reproducible subphenotypes of DCM using multiparametric data for improved patient stratification. METHODS: Longitudinal, observational UK-derivation (n = 426; median age 54 years; 67% men) and Dutch-validation (n = 239; median age 56 years; 64% men) cohorts of DCM patients (enrolled 2009-2016) with clinical, genetic, cardiovascular magnetic resonance, and proteomic assessments. Machine learning with profile regression identified novel disease subtypes. Penalized multinomial logistic regression was used for validation. Nested Cox models compared novel groupings to conventional risk measures. Primary composite outcome was cardiovascular death, heart failure, or arrhythmia events (median follow-up 4 years). RESULTS: In total, 3 novel DCM subtypes were identified: profibrotic metabolic, mild nonfibrotic, and biventricular impairment. Prognosis differed between subtypes in both the derivation (P < 0.0001) and validation cohorts. The novel profibrotic metabolic subtype had more diabetes, universal myocardial fibrosis, preserved right ventricular function, and elevated creatinine. For clinical application, 5 variables were sufficient for classification (left and right ventricular end-systolic volumes, left atrial volume, myocardial fibrosis, and creatinine). Adding the novel DCM subtype improved the C-statistic from 0.60 to 0.76. Interleukin-4 receptor-alpha was identified as a novel prognostic biomarker in derivation (HR: 3.6; 95% CI: 1.9-6.5; P = 0.00002) and validation cohorts (HR: 1.94; 95% CI: 1.3-2.8; P = 0.00005). CONCLUSIONS: Three reproducible, mechanistically distinct DCM subtypes were identified using widely available clinical and biological data, adding prognostic value to traditional risk models. They may improve patient selection for novel interventions, thereby enabling precision medicine
Propionic acidemia as a cause of adult-onset dilated cardiomyopathy
Dilated cardiomyopathy (DCM) is extremely heterogeneous with a large proportion due to dominantly inherited disease-causing variants in sarcomeric genes. Recessive metabolic diseases may cause DCM, usually with onset in childhood, and in the context of systemic disease. Whether metabolic defects can also cause adult-onset DCM is currently unknown. Therefore, we performed an extensive metabolic screening in 36 consecutive adult-onset DCM patients. Diagnoses were confirmed by Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA). Measurement of propionyl-CoA carboxylase (PCC) activity was done in fibroblasts. Whole exome sequencing (WES) data of 157 additional DCM patients were analyzed for genetic defects. We found a metabolic profile characteristic for propionic acidemia in a patient with severe DCM from 55 years of age. Genetic analysis demonstrated compound heterozygous variants in PCCA. Enzymatic activity of PCC in fibroblasts was markedly reduced. A targeted analysis of the PCCA and PCCB genes using available WES data from 157 further DCM patients subsequently identified another patient with propionic acidemia. This patient had compound heterozygous variants in PCCB, and developed severe DCM from 42 years of age. Adult-onset DCM can be caused by propionic acidemia, an autosomal recessive inheritable metabolic disorder usually presenting as neonatal or childhood disease. Current guidelines advise a low-protein diet to ameliorate or prevent detrimental aspects of the disease. Long-term follow-up of a larger group of patients may show whether this diet would also ameliorate DCM. Our results suggest that diagnostic metabolic screening to identify propionic acidemia and related disorders in DCM patients is justified
Chapter 6: Clinical Presentation, Spectrum of Disease, and Natural History
Dilated cardiomyopathy (DCM) represents the third most common cause of heart failure (HF) and the most frequent cause of heart transplantation in the western world.
DCM aetiologies can be classified as genetic or nongenetic. Genetic causes account for 30\u201340% of DCMs and involve genes that encode cytoskeletal, sarcomere, and nuclear envelope proteins among others. Transmission is variable but mostly with an autosomal dominant pattern. Acquired causes include myocarditis, tachyarrhythmias, alcohol abuse, drugs, catecholamines, toxins, and metabolic or endocrine disturbances.
Before diagnosing DCM, it is necessary to exclude conditions with phenotypic overlap. A comprehensive integrated approach to patients with a newly diagnosed DCM is essential in order to achieve an accurate early prognostic stratification.
Thus, the aim of this chapter is to discuss about the clinical features, the natural history, and the spectrum of such a heterogeneous disease