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1.
Clin Exp Rheumatol ; 41(7): 1427-1433, 2023 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-36622121

RESUMEN

OBJECTIVES: We sought to determine whether the increased risk of atrial fibrillation and stroke in rheumatoid arthritis (RA) can be accounted for by an increased prevalence of electrocardiographic markers of atrial myopathy. METHODS: We retrospectively evaluated clinical and electrocardiographic data of 218 RA patients prospectively enrolled in the Endothelial Dysfunction Evaluation for Coronary Heart Disease Risk Estimation in Rheumatoid Arthritis study (EDRA study ClinicalTrials.gov: NCT02341066) and 109 controls matched by age and gender. The prevalence of interatrial blocks (IAB, partial - pIAB or advanced - aIAB), abnormal P-wave terminal force in lead V1 (aPtfV1) and atrial myopathy (electrocardiographically defined as the presence of 1) aIAB, or 2) pIAB plus abnormal aPtfV1) was assessed in each group. RA patients were followed-up for 5 years for incident atrial fibrillation and cardiovascular events. RESULTS: Barring the prevalence of hyperlipidaemia and obesity, the demographic characteristics and cardiovascular risk profile of RA patients and controls were comparable. All subjects enrolled in the study were free from previous cardiovascular disease and atrial fibrillation. Compared to controls, RA patients had longer P-wave duration (118±12 vs. 112±10 ms, p<0.001) and higher prevalence of pIAB (43% vs. 21%, p<0.001) and abnormal PtfV1 (27% vs. 10%, p<0.001). Accordingly, atrial myopathy was significantly more prevalent (15% vs 4%, p=0.003) in RA patients. In multiple regression, male gender (OR [95% CI] = 3.09 [1.48-6.47], p=0.003) and RA (OR [95% CI] = 4.83 [1.58-14.73], p=0.006) were independently associated with atrial myopathy. Atrial myopathy was not significantly associated with incident atrial fibrillation or cardiovascular events in RA patients after 5 years of follow-up. CONCLUSIONS: Electrocardiographic markers of atrial myopathy are independently associated with RA. Further studies with larger sample size and longer follow-up are needed to determine whether the increased prevalence of atrial myopathy contributes to the increased risk of atrial fibrillation and stroke in this group.


Asunto(s)
Artritis Reumatoide , Fibrilación Atrial , Enfermedades Musculares , Accidente Cerebrovascular , Humanos , Masculino , Artritis Reumatoide/complicaciones , Artritis Reumatoide/diagnóstico , Artritis Reumatoide/epidemiología , Fibrilación Atrial/diagnóstico , Fibrilación Atrial/epidemiología , Relevancia Clínica , Electrocardiografía , Prevalencia , Estudios Retrospectivos , Factores de Riesgo , Accidente Cerebrovascular/diagnóstico , Femenino
2.
Diagnostics (Basel) ; 14(12)2024 Jun 18.
Artículo en Inglés | MEDLINE | ID: mdl-38928704

RESUMEN

Neuroendocrine neoplasms (NENs) are a heterogeneous group of neoplasms presenting unique challenges in diagnosis and management. Traditional markers such as chromogranin A (CgA), pancreatic polypeptide (PP), and neuron-specific enolase (NSE) have limitations in terms of specificity and sensitivity. Specific circulating markers such as serotonin and its metabolite 5-hydroxyindoleacetic acid (5-HIAA) and various gastrointestinal hormones such as gastrin, glucagon, somatostatin, and vasoactive intestinal peptide (VIP) have a role in identifying functional NENs. Recent advances in molecular and biochemical markers, also accounting for novel genomic and proteomic markers, have significantly improved the landscape for the diagnosis and monitoring of NENs. This review discusses these developments, focusing on both traditional markers such as CgA and NSE, as well as specific hormones like gastrin, insulin, somatostatin, glucagon, and VIP. Additionally, it covers emerging genomic and proteomic markers that are shaping current research. The clinical applicability of these markers is highlighted, and their role in improving diagnostic accuracy, predicting surgical outcomes, and monitoring response to treatment is demonstrated. The review also highlights the need for further research, including validation of these markers in larger studies, development of standardized assays, and integration with imaging techniques. The evolving field of biochemical markers holds promise for improving patient outcomes in the treatment of NENs, although challenges in standardization and validation remain.

3.
Expert Rev Endocrinol Metab ; 19(4): 349-366, 2024 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-38836602

RESUMEN

INTRODUCTION: Neuroendocrine neoplasms (NENs) represent a complex group of tumors arising from neuroendocrine cells, characterized by heterogeneous behavior and challenging diagnostics. Despite advancements in medical technology, NENs present a major challenge in early detection, often leading to delayed diagnosis and variable outcomes. This review aims to provide an in-depth analysis of current diagnostic methods as well as the evolving and future directions of diagnostic strategies for NENs. AREA COVERED: The review extensively covers the evolution of diagnostic tools for NENs, from traditional imaging and biochemical tests to advanced genomic profiling and next-generation sequencing. The emerging role of technologies such as artificial intelligence, machine learning, and liquid biopsies could improve diagnostic precision, as could the integration of imaging modalities such as positron emission tomography (PET)/magnetic resonance imaging (MRI) hybrids and innovative radiotracers. EXPERT OPINION: Despite progress, there is still a significant gap in the early diagnosis of NENs. Bridging this diagnostic gap and integrating advanced technologies and precision medicine are crucial to improving patient outcomes. However, challenges such as low clinical awareness, limited possibility of noninvasive diagnostic tools and funding limitations for rare diseases like NENs are acknowledged.


Asunto(s)
Tumores Neuroendocrinos , Humanos , Tumores Neuroendocrinos/diagnóstico , Tumores Neuroendocrinos/genética , Tumores Neuroendocrinos/diagnóstico por imagen , Tomografía de Emisión de Positrones , Detección Precoz del Cáncer/métodos , Medicina de Precisión , Imagen por Resonancia Magnética/métodos , Secuenciación de Nucleótidos de Alto Rendimiento , Inteligencia Artificial
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