scholarly journals Brain Damage With Heart Failure

2020 ◽  
Vol 126 (6) ◽  
pp. 750-764 ◽  
Author(s):  
Karsten Mueller ◽  
Friederike Thiel ◽  
Frank Beutner ◽  
Andrej Teren ◽  
Stefan Frisch ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Brain Damage ◽  
Gray Matter ◽  
Brain Structure ◽  
Structural Changes ◽  
Heart Function ◽  
Pump Efficiency ◽  
Brain Changes ◽  
Structural Brain

Rationale: Heart failure (HF) following heart damage leads to a decreased blood flow due to a reduced pump efficiency of the heart muscle. A consequence can be insufficient oxygen supply to the organism including the brain. While HF clearly shows neurological symptoms, such as fatigue, nausea, and dizziness, the implications for brain structure are not well understood. Few studies show regional gray matter decrease related to HF; however, the underlying mechanisms leading to the observed brain changes remain unclear. Objective: To study the relationship between impaired heart function, hampered blood circulation, and structural brain change in a case-control study. Methods and Results: Within a group of 80 patients of the Leipzig Heart Center, we investigated a potential correlation between HF biomarkers and the brain’s gray matter density (GMD) obtained by magnetic resonance imaging. We observed a significant positive correlation between cardiac ejection fraction and GMD across the whole frontal and parietal medial cortex reflecting the consequence of HF onto the brain’s gray matter. Moreover, we also obtained a relationship between GMD and the NT-proBNP (N-terminal prohormone of brain natriuretic peptide)—a biomarker that is used for screening, diagnosis, and prognosis of HF. Here, we found a significant negative correlation between NT-proBNP and GMD in the medial and posterior cingulate cortex but also in precuneus and hippocampus, which are key regions implicated in structural brain changes in dementia. Conclusions: We obtained significant correlations between brain structure and markers of heart failure including ejection fraction and NT-proBNP. A diminished GMD was found with decreased ejection fraction and increased NT-proBNP in wide brain regions including the whole frontomedian cortex as well as hippocampus and precuneus. Our observations might reflect structural brain damage in areas that are related to cognition; however, whether these structural changes facilitate the development of cognitive alterations has to be proven by further longitudinal studies.

scholarly journals The continuous heart failure spectrum: moving beyond an ejection fraction classification

2019 ◽  
Vol 40 (26) ◽  
pp. 2155-2163 ◽  
Author(s):  
Filippos Triposkiadis ◽  
Javed Butler ◽  
Francois M Abboud ◽  
Paul W Armstrong ◽  
Stamatis Adamopoulos ◽  
...  
Keyword(s):  
Heart Failure ◽  
Clinical Trials ◽  
Ejection Fraction ◽  
Statistical Power ◽  
Structural Changes ◽  
Randomized Clinical Trials ◽  
New Technologies ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

Abstract Randomized clinical trials initially used heart failure (HF) patients with low left ventricular ejection fraction (LVEF) to select study populations with high risk to enhance statistical power. However, this use of LVEF in clinical trials has led to oversimplification of the scientific view of a complex syndrome. Descriptive terms such as ‘HFrEF’ (HF with reduced LVEF), ‘HFpEF’ (HF with preserved LVEF), and more recently ‘HFmrEF’ (HF with mid-range LVEF), assigned on arbitrary LVEF cut-off points, have gradually arisen as separate diseases, implying distinct pathophysiologies. In this article, based on pathophysiological reasoning, we challenge the paradigm of classifying HF according to LVEF. Instead, we propose that HF is a heterogeneous syndrome in which disease progression is associated with a dynamic evolution of functional and structural changes leading to unique disease trajectories creating a spectrum of phenotypes with overlapping and distinct characteristics. Moreover, we argue that by recognizing the spectral nature of the disease a novel stratification will arise from new technologies and scientific insights that will shape the design of future trials based on deeper understanding beyond the LVEF construct alone.

scholarly journals Influence of polypharmacy on patients with heart failure with preserved ejection fraction: a retrospective analysis on adverse outcomes in the TOPCAT trial

2020 ◽  
Vol 71 (702) ◽  
pp. e62-e70
Author(s):  
Yuzhong Wu ◽  
Wengen Zhu ◽  
Xin He ◽  
Ruicong Xue ◽  
Weihao Liang ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Retrospective Analysis ◽  
Heart Function ◽  
Left Ventricular ◽  
Adverse Outcomes ◽  
Left Ventricular Ejection ◽  
Controlled Study ◽  
Preserved Ejection Fraction ◽  
Ventricular Ejection Fraction

BackgroundPolypharmacy is common in heart failure (HF), whereas its effect on adverse outcomes in patients with HF with preserved ejection fraction (HFpEF) is unclear.AimTo evaluate the prevalence, prognostic impacts, and predictors of polypharmacy in HFpEF patients.Design and settingA retrospective analysis performed on patients in the Americas region (including the US, Canada, Argentina, and Brazil) with symptomatic HF and a left ventricular ejection fraction ≥45% in the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) trial, an international, randomised, double-blind, placebo-controlled study conducted during 2006–2013 in six countries.MethodPatients were categorised into four groups: controls (<5 medications), polypharmacy (5–9 medications), hyperpolypharmacy, (10–14 medications), and super hyperpolypharmacy (≥15 medications). The outcomes and predictors in all groups were assessed.ResultsOf 1761 participants, the median age was 72 years; 37.5% were polypharmacy, 35.9% were hyperpolypharmacy, and 19.6% were super hyperpolypharmacy, leaving 7.0% having a low medication burden. In multivariable regression models, three experimental groups with a high medication burden were all associated with a reduction in all-cause death, but increased risks of HF hospitalisation and all-cause hospitalisation. Furthermore, several comorbidities (dyslipidemia, thyroid diseases, diabetes mellitus, and chronic obstructive pulmonary disease), a history of angina pectoris, diastolic blood pressure <80 mmHg, and worse heart function (the New York Heart Association functional classification level III and IV) at baseline were independently associated with a high medication burden among patients with HFpEF.ConclusionA high prevalence of high medication burden at baseline was reported in patients with HFpEF. The high medication burden might increase the risk of hospital readmission, but not the mortality.

scholarly journals HEART FAILURE WITH MID-RANGE LEFT VENTRICULAR EJECTION FRACTION

2020 ◽  
Vol 73 (8) ◽  
pp. 1765-1770
Author(s):  
Оlga А. Yepanchintseva ◽  
Оleg J. Zharinov ◽  
Кyrylo О. Mikhaliev
Keyword(s):  
Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Web Search ◽  
Heart Function ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Clinical Aspects ◽  
Ventricular Ejection Fraction

The aim of the publication was to review available data on epidemiology, pathophysiological and clinical aspects of HFmrEF as a specific HF pattern. Materials and methods: We carried out the analysis of the publications that appeared during last decade, related to the different aspects of HFmrEF. The literature search was conducted by use of Google Web Search and PubMed search engines by the following key words: heart failure, left ventricular ejection fraction, mid-range, as well as their combinations. Conclusions: Patients with specific HF pattern «HFmrEF» demonstrate multidirectional dynamic of systolic heart function with the possibility of transition to the category of reduced or preserved LVEF. Such patients need to be evaluated individually. Their management is based on neurohumoral modulators in order to prevent further LV dysfunction progression and repeated decompensation of HF.

scholarly journals T159. STRUCTURAL BRAIN ABNORMALITIES IN SCHIZOPHRENIA IN ADVERSE ENVIRONMENTS: EXAMINING THE EFFECT OF POVERTY AND VIOLENCE IN SIX LATIN AMERICAN CITIES

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S291-S292
Author(s):  
Nicolas Crossley ◽  
Andre Zugman ◽  
Francisco Reyes-Madrigal ◽  
Leticia Czepielewski ◽  
Mariana Castro ◽  
...  
Keyword(s):  
Latin American ◽  
Gray Matter ◽  
Brain Structure ◽  
Gray Matter Volume ◽  
Healthy Controls ◽  
Middle Income ◽  
Middle Income Countries ◽  
Matter Volume ◽  
American Cities ◽  
Structural Brain

Abstract Background Social and environmental factors such as poverty or violence, modulate the risk and course of schizophrenia, but how they affect the brain in patients with psychosis remains unclear. We here studied how they are related to brain structure in schizophrenia and healthy controls in Latin America, where these factors are large and unequally distributed. Methods This is an MRI multi-center study in patients with schizophrenia and healthy controls from six Latin American cities: Buenos Aires, Medellin, Mexico City, Santiago, Sao Paulo and Porto Alegre. Total and voxel-level gray matter volumes obtained from T1-weighted MRI images and their relationship with income and homicide rates were analyzed using a general linear model. Results 334 patients with schizophrenia and 262 controls were included. Income was differentially related to total gray matter volume in the two groups (P=0.006). Controls showed a positive correlation between total gray matter volume and income (R=0.14, P=0.02). Surprisingly, this relationship was not present in schizophrenia (R=-0.076, P=0.17). Voxel-level analysis confirmed that this interaction was widespread across the cortex. After adjusting for global brain changes, income was positively related to prefrontal cortex volumes only in controls. Conversely, the hippocampus in patients, but not in controls, was relatively larger in affluent environments. There was no significant correlation between environmental violence and brain structure. Discussion Our results highlight the interplay between the environment, particularly poverty, and individual characteristics in psychosis. This is particularly important for harsh environments such as those from low and middle-income countries: potentially less brain vulnerability (less gray matter loss) is sufficient to become unwell in adverse (poor) environments. The development of algorithms exploring clinically-useful information from structural brain images in psychosis should include representative samples from low and middle-income countries.

scholarly journals Voxel-Based Morphometry Analysis of Gray Matter on Quran Memorizers

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Iqbal Jamaludin ◽  
Mohd Zulfaezal Che Azemin ◽  
Abdul Halim Sapuan ◽  
Radhiana Hassan
Keyword(s):  
Gray Matter ◽  
Brain Structure ◽  
Structural Changes ◽  
Gray Matter Volume ◽  
Brodmann Area ◽  
Voxel Based Morphometry ◽  
Significant Difference ◽  
Morphometry Analysis ◽  
Current Sample ◽  
The Brain

Introduction: The brain is the most complex organ in the human body. Robust and vigorous daily activities may cause changes to the brain structure. Huffaz, individuals who memorise the Quran undergo intensive memorization training which may lead to structural changes in specific regions of the brain. Materials and method: This study looked at possible change that occurred on gray matter by characterising the textual memorization of brain structure using voxel-based morphometry (VBM). It involves voxel-by-voxel comparison of gray matter intensity of the MRI images. Forty-seven subjects (23 huffaz, 24 non-huffaz) aged between 21-25 years were voluntarily recruited. Subjects were scanned by 3 Tesla MRI system. Images were then re-aligned according to standardised Montreal Neurological Institute (MNI) coordinates. The MRIs were then segmented into gray matter, white matter and cerebrospinal fluid. Independent sample t-test was performed between the two groups. Results: No significant difference was found between the brain region of the huffaz and non-huffaz with appropriate corrections for family-wise error (FWE) at a threshold of p = 0.05. However, with a more lenient criteria (p = 0.001, uncorrected, cluster size = 50 mm3 ), we found that gray matter volume in Brodmann Area 6 and Brodmann Area 7 of the huffaz were significantly higher than the non-huffaz group. Conclusion: VBM is not sensitive enough to detect complex anatomical differences between huffaz and non-huffaz with the current sample size. Future study to explore possible image processing tools that can measure subtle structural change in human brain is warranted.

scholarly journals HUBUNGAN KELAS NYHA DENGAN FRAKSI EJEKSI PADA PASIEN GAGAL JANTUNG KRONIK DI BLU/RSUP PROF. DR. R.D. KANDOU MANADO

e-CliniC ◽  
2013 ◽  
Vol 1 (2) ◽  
Author(s):  
Patricia Ratna Sari ◽  
Starry H. Rampengan ◽  
Agnes Lucia Panda
Keyword(s):  
Heart Failure ◽  
New York ◽  
Chronic Heart Failure ◽  
Ejection Fraction ◽  
Heart Function ◽  
Nyha Class ◽  
Heart Association ◽  
Cross Sectional ◽  
New York Heart Association ◽  
Spearman Test

Abstract: The functional status of patients with chronic heart failure (CHF) has been standardized by the classification of NYHA [New York Heart Association] class I-IV. One of the parameters to assess the ability of the heart function is the ejection fraction (LVEF) were assessed using echocardiography parameters. The purpose of this study was to determine the relationship of NYHA class with ejection fraction in patients with chronic heart failure in the BLU/Prof. Dr. R. D. Kandou Manado. Methodology: This research method is analytic cross sectional study approach. The sample was CHF patients in BLU/Prof. Dr. R. D. Manado Kandou 30 people held during November-December 2012. Results: The distribution of patients according to NYHA class most are in NYHA II (43%), while the lowest are in NYHA IV (7%). Distribution according to the ejection fraction is at most 30-39% LVEF is 12 and there are at least LVEF <30%, is 6 people. The results obtained using the Spearman test (p = 0.177), indicating that there was no statistically significant association between NYHA class with ejection fraction in patients with chronic heart failure in the BLU/Prof. Dr. R. D. Kandou Manado.Conclusion: No significant relationship was found between NYHA class with ejection fraction. Keywords: Chronic Heart Failure, ejection fraction, NYHA class   Abstrak: Status fungsional penderita gagal jantung kronik (GJK) ini telah dibakukan berdasarkan klasifikasi NYHA [New York Heart Association] kelas I-IV. Salah satu parameter untuk menilai kemampuan fungsi jantung adalah fraksi ejeksi (LVEF) yang dinilai menggunakan parameter ekokardiografi. Tujuan penelitian ini adalah untuk mengetahui hubungan kelas NYHA dengan fraksi ejeksi pada penderita gagal jantung kronik di BLU/RSUP Prof. Dr. R. D. Kandou Manado. Metodologi: Metode penelitian ini bersifat analitik dengan pendekatan studi cross sectional.  Sampel penelitian ini adalah pasien GJK  di BLU/RSUP. Prof. Dr. R. D. Kandou Manado sebanyak 30 orang yang berlangsung selama bulan November – Desember 2012. Hasil : Distribusi pasien GJK menurut kelas NYHA terbanyak berada pada NYHA II (43%), sedangkan yang paling rendah berada pada NYHA IV (7%). Distribusi  menurut Fraksi Ejeksi terbanyak berada pada LVEF 30-39 % yaitu 12 orang dan paling rendah terdapat pada LVEF <30 % yaitu 6 orang. Hasil penelitian ini menggunakan uji Spearman diperoleh (p= 0,177), menunjukkan bahwa secara statistik tidak terdapat hubungan bermakna antara NYHA kelas dengan fraksi ejeksi pada pasien gagal jantung kronik di BLU/RSUP Prof. Dr. R. D. Kandou Manado. Kesimpulan:Tidak ditemukan hubungan yang signifikan antara kelas NYHA dengan fraksi ejeksi. Kata kunci : Fraksi ejeksI, Gagal Jantung Kronik, Kelas NYHA [New York Heart Association]

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