Background: Screening for carcinoid heart disease (CHD), has historically lacked consensus expert guidelines. In 2017, the North American Neuroendocrine Tumor Society (NANETS) released expert recommendations for CHD screening among NET patients to improve CHD detection. The objective of this study is to evaluate CHD screening trends and utility of screening guidelines over more than two decades at a single tertiary care center.
Materials And Methods: Patients with NETs referred for abdominal surgical evaluation at a single tertiary care center were included, 300 patients from 1999 to 2018 and 34 patients from 2021 to 2022. Lab values for the following NANETS-proposed criteria at any point during their treatments were recorded: NETs with liver metastasis, blood serotonin >5 times upper limit of normal (>1000 ng/mL), NT-ProBNP >260 pg/mL and clinical features suggestive of CHD.
Results: 85 % (285/334) of patients included in this study met one or more expert-recommended CHD screening criteria. However, 40 % (132/285) of patients meeting one or more criteria received CHD screening via echocardiogram at some point following NET diagnosis. While rates of screening for patients increased from the first decade to the second decade (32 % vs 40.6 %), the rates were much higher after guideline publication (70 %, 24/34). Furthermore, patients meeting multiple screening criteria were more likely to have evidence of structural valve disease.
Conclusions: Results of this study suggest that utilization of these four expert-recommended screening criteria have greatly increased rates of CHD screening via echocardiogram and could assist in improving early CHD detection, especially for patients meeting multiple criteria.
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http://dx.doi.org/10.1016/j.ijcrp.2024.200293 | DOI Listing |
Molecules
December 2024
Laboratory of Clinical Chemistry, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.
Coronary heart disease (CHD) is the leading cause of morbidity and mortality worldwide despite significant improvements in diagnostic modalities. Emerging evidence suggests that erythrocytes, or red blood cells (RBCs), are one of the most important contributors to the events implicated in atherosclerosis, although the molecular mechanisms behind it are under investigation. We used NMR-based lipidomic technology to investigate the RBC lipidome in patients with CHD compared to those with normal coronary arteries (NCAs), all angiographically documented, and its correlation with coronary artery stenosis.
View Article and Find Full Text PDFHum Brain Mapp
January 2025
Center for MR Research, University Children's Hospital Zurich, Zurich, Switzerland.
The human brain connectome is characterized by the duality of highly modular structure and efficient integration, supporting information processing. Newborns with congenital heart disease (CHD), prematurity, or spina bifida aperta (SBA) constitute a population at risk for altered brain development and developmental delay (DD). We hypothesize that, independent of etiology, alterations of connectomic organization reflect neural circuitry impairments in cognitive DD.
View Article and Find Full Text PDFCardiol Young
January 2025
Department of Cardiovascular Surgery, Hacettepe University, Ankara, Turkey.
Background: Ebstein's anomaly represents 40% of congenital tricuspid valve abnormalities. Studies about paediatric Ebstein's anomaly patients are limited.
Aim: To evaluate clinical characteristics, treatment (medical/arrhythmia ablation/surgical) results, and outcome of Ebstein's anomaly patients, and to determine factors affecting arrhythmia presence and mortality.
BMC Cardiovasc Disord
January 2025
Department of Cardiology, Yiwu Central Hospital, 699 Jiangdong Road, Yiwu, Zhejiang, 322000, China.
Background And Aims: To explore the predictive value of the triglyceride-glucose(TyG)index combined with non-high-density lipoprotein cholesterol (Non-HDL-C) in coronary atherosclerotic heart disease (CHD).
Methods And Results: We retrospectively collected patients who were suspected of CHD and underwent coronary angiography in Yiwu Central Hospital and collected medical history, other serum biochemical evaluation and echocardiography from the enrolled population, Non-HDL-C and TyG indices were calculated, and their correlation with Gensini score was analyzed. Logistic regression analysis was used to analyze the risk factors of coronary heart disease, and ROC curves were plotted to assess the predictive value of CHD in subjects with single or multiple indices.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009.
Objectives: The high incidence of coronary artery heart disease (CHD) poses a significant burden and challenge to public health systems globally. Effective prevention and early diagnosis of CHD have become key strategies to alleviate this burden. This study aims to explore the application of advanced machine learning techniques to enhance the accuracy of early screening and risk assessment for CHD.
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