Logo

American Heart Association

  23
  0


Final ID: MP1410

ANDES-CHD-AI study: A New algorithm DEtectS critical Congenital Heart Disease using Artificial Intelligence at different altitudes

Abstract Body (Do not enter title and authors here): Background: Critical congenital heart disease (CCHD) screening algorithms based on pulse oximetry have up to 27% false positive rate at high altitudes (>2500 m) despite altitude-specific cutoff changes. We examined the added value of an adult-based AI model applied to phonocardiography (AI-PCG) in the digital stethoscope EKO Core 500 in these settings.
Research Question: What is the diagnostic performance of AI-PCG model compared to pulse oximetry in detecting neonatal CCHD across different altitudes in Latin America?
Methods: This observational, prospective, case-control study included newborns born at different altitudes from 0 to 4380 meters in Peru, Mexico, Colombia and Bolivia. All underwent preductal and postductal oximetry at least 18 hours after birth, electrocardiography and PCG with the digital stethoscope. All CCHD cases were confirmed by echocardiography. Non-CCHD cases were defined by echocardiography or clinically if they were alive for 1 month and had 1) negative pulse oximetry, 2) no hospitalization due to cardiac or pulmonary causes and 3) no cyanosis or pneumonia. Those with abnormal pulse oximetry, genetic syndromes or murmur detection underwent echocardiography. Diagnostic performance metrics [area under the receiving operating characteristic curve (AUROC), sensitivity, specificity and false positive rate] were evaluated per modality.
Results: A total of 1152 newborns were enrolled, 725 at <2500 m [13 (1.8%) with CCHD] and 427 at >2500 m [6 (1.4%) with CCHD]. Out of 19 CCHD cases, 17 had positive pulse oximetry and 9 had a positive AI-PCG model. One newborn with severe coarctation of the aorta and atrial septal defect had negative pulse oximetry and AI-PCG model. Pulse oximetry showed superior AUROC (0.932 vs 0.664), sensitivity (89.5% vs 47.4%), specificity (97% vs 85.5%) and lower false positive rate (3% vs 14.5%) compared to the AI-PCG model across altitudes. Diagnostic accuracy varied with altitude (Figure): at <2500 m, pulse oximetry showed higher AUROC (0.999 vs 0.612) and lower false positive rate (0.1% vs 16%) than AI-PCG model, but at >2500 m, pulse oximetry had similar AUROC (0.794 vs 0.774) and lower false positive rate (7.8% vs 11.9%) than the AI-PCG model.
Conclusion: Pulse oximetry has superior diagnostic performance than an adult-based AI-PCG model when screening for neonatal CCHD at <2500 m, but similar performance is found >2500 m.
  • Bravo-jaimes, Katia  ( Mayo clinic , Jacksonville , Florida , United States )
  • Mallma, Majhifl  ( Hospital Regional Honorio Delgado Espinoza , Arequipa , Peru )
  • Sharma, Grishma  ( Mayo clinic , Jacksonville , Florida , United States )
  • Gamarra-valverde, Norma  ( UPCH , Lima , Peru )
  • Velarde Zegarra, Luis  ( UNMSM , Lima , Peru )
  • Blas Ortiz, Karem Beatriz  ( UNMSM , Lima , Peru )
  • Cordova Paucarchuco, Daniel Odiseo  ( Hospital Regional Docente Madre Nino El Carmen , Huancayo , Peru )
  • Astete Valdez, Beatriz Regina  ( Hospital II Pasco , Cerro de Pasco , Peru )
  • Aguirre Jimenez, Joaquin  ( Hospital San Juan del Rio , Queretaro , Mexico )
  • Cutipa Apaza, Nicol Alexandra  ( Hospital Regional Honorio Delgado Espinoza , Arequipa , Peru )
  • Jaramillo Ospina, Luisa Fernanda  ( Clinica Universitaria Colombia , Bogota , Colombia )
  • Nombera Aznaran, Milagros  ( UPCH , Lima , Peru )
  • Triveno Huamannahui, Jenny  ( Hospital Regional de Cusco , Cusco , Peru )
  • Avila Arias, Diana Nathaly  ( Clinica Universitaria Colombia , Bogota , Colombia )
  • Laura Cabrera, Mabel  ( Hospital de la Mujer , La Paz , Bolivia, Plurinational State of )
  • Vargas Montano, Alessandra  ( Hospital de la Mujer , La Paz , Bolivia, Plurinational State of )
  • Mcleod, Christopher  ( Mayo clinic , Jacksonville , Florida , United States )
  • Carter, Rickey  ( Mayo clinic , Jacksonville , Florida , United States )
  • Davila, Carmen  ( Instituto Nacional Materno Perinatal , Lima , Peru )
  • Tolentino Gabancho, Priscila Carol  ( Hospital Regional Docente Madre Nino El Carmen , Huancayo , Peru )
  • Ordaz, Paulina  ( Hospital San Juan del Rio , Queretaro , Mexico )
  • Martinez, Leslie  ( Clinica Universitaria Colombia , Bogota , Colombia )
  • Galdos, Jorge  ( Hospital Regional de Cusco , Cusco , Peru )
  • Rosales Claudio, William Walt  ( Hospital II Pasco , Cerro de Pasco , Peru )
  • Chavez, Edgar  ( Hospital de la Mujer , La Paz , Bolivia, Plurinational State of )
  • Author Disclosures:
    Katia Bravo-Jaimes: DO NOT have relevant financial relationships | Majhifl Mallma: DO NOT have relevant financial relationships | Grishma Sharma: DO NOT have relevant financial relationships | Norma Gamarra-Valverde: DO NOT have relevant financial relationships | Luis Velarde Zegarra: DO NOT have relevant financial relationships | Karem Beatriz Blas Ortiz: DO NOT have relevant financial relationships | Daniel Odiseo Cordova Paucarchuco: No Answer | Beatriz Regina Astete Valdez: No Answer | Joaquin Aguirre Jimenez: No Answer | Nicol Alexandra Cutipa Apaza: DO NOT have relevant financial relationships | Luisa Fernanda Jaramillo Ospina: No Answer | Milagros Nombera Aznaran: DO NOT have relevant financial relationships | Jenny Triveno Huamannahui: No Answer | Diana Nathaly Avila Arias: No Answer | Mabel Laura Cabrera: No Answer | Alessandra Vargas Montano: No Answer | Christopher McLeod: No Answer | Rickey Carter: DO have relevant financial relationships ; Advisor:Anumana:Active (exists now) ; Advisor:Neetera:Active (exists now) | Carmen Davila: No Answer | Priscila Carol Tolentino Gabancho: No Answer | Paulina Ordaz: No Answer | Leslie Martinez: No Answer | Jorge Galdos: No Answer | WILLIAM WALT ROSALES CLAUDIO: No Answer | Edgar Chavez: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:
More abstracts on this topic:
A Deep Learning Topic Analysis Approach for Enhancing Risk Assessment in Heart Failure Using Unstructured Clinical Notes

Adejumo Philip, Pedroso Aline, Khera Rohan

Acceptability and Feasibility Of A Digital Health Intervention For Adults with Congenital Heart Disease

Valente Joseph, Reardon Leigh, Moons Philip, Okumura Megumi, Gurvitz Michelle, Agarwal Anushree, Banala Keerthana, Buenrostro Karina, Alano Lindsay, Duan Rong, Parang Kim, Manyan Karina, Bravo-jaimes Katia, Norris Mark

More abstracts from these authors:
Effect Of Colchicine On Myocardial Infarction: Updated Systematic Review And Meta-analysis Of Randomized Controlled Trials

Younas Ayesha, Khan Tehreem, Raja Hafsa Arshad Azam, Shaukat Muhammad Talha, Munir Aqsa, Gamarra Norma, Jaiswal Vikash

Applying AI to Address Women’s Cardiovascular Health Across the Lifespan

Adedinsewo Demilade, Carter Rickey

You have to be authorized to contact abstract author. Please, Login
Not Available