Edil Argueta Machado

Dr. Edil Argueta Machado

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2026 in Diagnostics
Verified
Journal Article
Open access
PDF file
JZJose Isaac Zablah
Jose Isaac Zablah
CACarlos Agudelo-Santos
Carlos Agudelo-Santos
YMYolly Molina
Yolly Molina
MAMarcio Omar Madrid Alvarado
Marcio Omar Madrid Alvarado
AZArnoldo Zelaya
Arnoldo Zelaya
Universidade de Garcia-LoureiroUniversidade de Garcia-Loureiro
Universidade de Garcia-Loureiro
Background/Objectives: In low-resource settings, diagnostic delays and limited specialist access worsen health inequalities, making hypertensive disorders of pregnancy (HDPs) defined by new-onset blood pressure ≥ 140/90 mmHg after 20 weeks of gestation, with or without proteinuria, a major cause of maternal morbidity and mortality. This study evaluated the diagnostic effectiveness of a rural-applicable clinical model for detecting HDPs in a real-world population from Hospital General San Felipe (Tegucigalpa, Honduras). Methods: A cross-sectional diagnostic accuracy study was conducted on 147 consecutive pregnant women in February 2025. Clinical documentation from the initial appointment defined HDP. We modeled HDP risk using penalized logistic regression and common factors such maternal age, gestational age, blood pressure, BMI, primary symptoms, semi-quantitative proteinuria, and medical history. Median imputation was utilized for missing numbers and stratified five-fold cross-validation assessed performance. We assessed AUROC, AUPRC, Brier score, calibration, and operational utility at a data-driven threshold. Results: Of patients, 27.9% (41/147) had HDP. The model had an AUROC of 0.614, AUPRC of 0.461 (cross-validation averages), and Brier score of 0.253. The threshold with the highest F1-score (0.474) had a sensitivity of 0.561, specificity of 0.679, positive predictive value of 0.404, and negative predictive value of 0.800. HDP had higher meaning systolic/diastolic/mean arterial pressure (130.7/82.9/98.9 vs. 120.5/76.1/90.9 mmHg) and ordinal proteinuria (0.59 vs. 0.36 units). Conclusions: The model had moderate but clinically meaningful discriminative performance using low-cost, commonly obtained variables, excellent calibration, and a good negative predictive value for first exclusion. These findings suggest modification of predictors, a larger sample size, and clinical usefulness assessment using decision curves and process outcomes, including quick referral and prophylaxis. This approach aligns with contemporary developments in the 2023–2025 European Society of Cardiology (ESC) and 2024 American Heart Association (AHA) guidelines, which emphasize earlier identification and risk-stratified management of hypertensive disorders during pregnancy as a cornerstone of women’s cardiovascular health.

9 September 2026 in Current Problems in Cardiology
Verified
Journal Article
Open access
JLJorge Lara-Vargas
Jorge Lara-Vargas
CSClaudia Victoria Anchique Santos
Claudia Victoria Anchique Santos
JNJoselyn Noriega
Joselyn Noriega
KAKatherine Alcalá-Marcos
Katherine Alcalá-Marcos
CPCarlos Palomeque
Carlos Palomeque
FLFrancisco López-Jiménez
Francisco López-Jiménez

1 January 2025
Verified
Conference Paper
Open access
PDF file
SDSalvador Diaz
Salvador Diaz
EMEdil Argueta Machado
Edil Argueta Machado
LSLilian Sosa
Lilian Sosa
ASAlicia Sierra
Alicia Sierra
ADAlicia Diaz
Alicia Diaz
JZJose Isaac Zablah
Jose Isaac Zablah
Cardiovascular diseases pose significant health challenges in low-and middle-income countries (LMICs), making early detection of heart disease vital to improve outcomes, but access to conventional diagnostic tools. Mobile electrocardiography (MECG) offers a promising solution for remote and resourcelimited settings. To evaluate the use of MECG technology to detect cardiac disease in underserved areas of Honduras. It focuses on mobile health technologies' efficacy, challenges, and potential to expand access to cardiovascular diagnosis. MECG devices were deployed in the El Paraíso, Honduras, using Prince 180D devices and a cloud-based mobile application to record and transmit ECG data. A total of 1044 ECGs were collected between November 2023 and January 2024, and the data were analyzed remotely by cardiologists. Among the 1044 ECGs recorded, 262 had abnormalities, such as ischemic heart disease, atrial fibrillation, atrial flutter, and third-degree atrioventricular block. MECG technology demonstrated sensitivity to various cardiac pathologies, and abnormalities were predominantly identified in women and patients aged 41 years or older. MECG technology demonstrated high accuracy and reliability in detecting multiple cardiac pathologies, especially in geographically isolated regions. This system enabled early diagnosis and facilitated timely referrals, offering a scalable solution to health disparities in LMICs.

24 April 2025 in Revista de ecocardiografía práctica y otras técnicas de imagen cardíaca
Verified
Journal Article
Open access
PDF file
FGFernando Du Pond-De la Garza
Fernando Du Pond-De la Garza
JHJulio Cesar Rivera Hermosillo
Julio Cesar Rivera Hermosillo
ELEtni Alejandra Cruz Londoño
Etni Alejandra Cruz Londoño
MUMartin Rodrigo Cedillo Urbina
Martin Rodrigo Cedillo Urbina
APAmérica Cecilia Pérez Palma
América Cecilia Pérez Palma
EMEdil Argueta Machado
Edil Argueta Machado
Las cardiopatías congénitas en el adulto son diagnosticadas cada vez con más frecuencia, esto debido a un infradiagnóstico de estas patologías en etapa prenatal y neonatal, además de un avance importante en los estudios de imagen cardíaca como ecocardiograma y resonancia magnética cardíaca. LA anomalía de Ebstein es una causa poco frecuente de insuficiencia cardíaca derecha y de eventos trombóticos en los pacientes jóvenes. En este artículo se realiza una breve revisión de la patología y se presenta el caso de un paciente adulto con anomalía de Ebstein con comunicación interauricular, el abordaje clínico que se le dio, así como los resultados.

18 April 2026 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
MAMarcio Omar Madrid Alvarado
Marcio Omar Madrid Alvarado
EMEdil Argueta Machado
Edil Argueta Machado
JZJose Isaac Zablah
Jose Isaac Zablah