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SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis
  1. Jose Ignacio Melero-Alegria1,
  2. Manuel Cascon1,
  3. Alfonso Romero2,
  4. Pedro Pablo Vara1,
  5. Manuel Barreiro-Perez1,
  6. Victor Vicente-Palacios1,
  7. Fernando Perez-Escanilla3,
  8. Jesus Hernandez-Hernandez1,
  9. Beatriz Garde1,
  10. Sara Cascon4,
  11. Ana Martin-Garcia1,
  12. Elena Diaz-Pelaez1,
  13. Jose Maria de Dios5,
  14. Aitor Uribarri1,
  15. Javier Jimenez-Candil1,
  16. Ignacio Cruz-Gonzalez1,
  17. Baltasara Blazquez6,
  18. Jose Manuel Hernandez6,
  19. Clara Sanchez-Pablo1,
  20. Inmaculada Santolino7,
  21. Maria Concepcion Ledesma8,
  22. Paz Muriel2,
  23. P Ignacio Dorado-Diaz1,
  24. Pedro L Sanchez1
  1. 1 Department of Cardiology, Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Facultad de Medicina, Universidad de Salamanca, and CIBERCV, Salamanca, Spain
  2. 2 Miguel Armijo Primary Care Centre, Salamanca, Spain
  3. 3 San Juan Primary Care Centre, Salamanca, Spain
  4. 4 Robleda Primary Care Center, Salamanca, Spain
  5. 5 Salamanca Primary Care Centre Management, Salamanca, Spain
  6. 6 Miranda del Castañar Primary Care Centre, Salamanca, Spain
  7. 7 Santa Marta Primary Care Centre, Salamanca, Spain
  8. 8 Peñaranda de Bracamonte Primary Care Centre, Salamanca, Spain
  1. Correspondence to Dr Pedro L Sanchez; pedrolsanchez{at}secardiologia.es

Abstract

Introduction This study aims to obtain data on the prevalence and incidence of structural heart disease in a population setting and, to analyse and present those data on the application of spatial and machine learning methods that, although known to geography and statistics, need to become used for healthcare research and for political commitment to obtain resources and support effective public health programme implementation.

Methods and analysis We will perform a cross-sectional survey of randomly selected residents of Salamanca (Spain). 2400 individuals stratified by age and sex and by place of residence (rural and urban) will be studied. The variables to analyse will be obtained from the clinical history, different surveys including social status, Mediterranean diet, functional capacity, ECG, echocardiogram, VASERA and biochemical as well as genetic analysis.

Ethics and dissemination The study has been approved by the ethical committee of the healthcare community. All study participants will sign an informed consent for participation in the study. The results of this study will allow the understanding of the relationship between the different influencing factors and their relative importance weights in the development of structural heart disease. For the first time, a detailed cardiovascular map showing the spatial distribution and a predictive machine learning system of different structural heart diseases and associated risk factors will be created and will be used as a regional policy to establish effective public health programmes to fight heart disease. At least 10 publications in the first-quartile scientific journals are planned.

Trial registration number NCT03429452.

  • structural heart disease
  • population
  • rural
  • urban
  • spatial analysis
  • machine learning

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Patient consent for publication Not required.

  • Contributors JIM-A: data acquisition, surveys completion, physical, electrocardiographic and VASERA examinations, design of the work, drafting the work and revising it critically, final approval of the version to be published. MC: data acquisition, surveys completion, conception and design of the work, drafting the work and revising it critically, final approval of the version to be published. AR: conception and design of the work, interpretation of data, drafting the work of revising it critically, primary care coordination, final approval of the version to be published. PPV: echocardiographic data acquisition, interpretation of data, final approval of the version to be published. MB-P: conception and design of the echocardiographic protocol, analysis and interpretation of echocardiographic data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published. VV-P: conception and design of the spatial and machine learning analysis, analysis and interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published. FP-E: conception and design of the work, interpretation of data, primary care coordination, final approval of the version to be published. JH-H: conception and design of the electrocardiographic protocol, analysis and interpretation of ECG data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published. BG: conception and design of the lifestyle, Mediterranean and exercise surveys, analysis and interpretation of data, final approval of the version to be published. SC: conception and design of the work, coordinator of 5 out of 35 primary care centres, acquisition of data, final approval of the version to be published. AM-G: analysis and interpretation of echocardiographic data, final approval of the version to be published. ED-P: analysis and interpretation of echocardiographic data, final approval of the version to be published. JMdD: conception and design of the work, coordinator of 5 out of 35 primary care centres, acquisition of data, final approval of the version to be published. AU: conception and design of the work (surveys), analysis and interpretation of data, final approval of the version to be published. JJ-C: conception and design of the work, analysis and interpretation of ECG data, final approval of the version to be published. IC-G: conception and design of the work (surveys), analysis and interpretation of data, final approval of the version to be published. BB: conception and design of the work, coordinator of 5 out of 35 primary care centres, acquisition of data, final approval of the version to be published. JMH: conception and design of the work, coordinator of 5 out of 35 primary care centres, acquisition of data, final approval of the version to be published. CS-P: data acquisition, surveys completion, physical, electrocardiographic and VASERA examinations, final approval of the version to be published. IS: conception and design of the work, coordinator of 5 out of 35 primary care centres, acquisition of data, final approval of the version to be published. MCL: conception and design of the work, coordinator of 5 out of 35 primary care centres, acquisition of data, final approval of the version to be published. PM: conception and design of the work, coordinator of 5 out of 35 primary care centres, acquisition of data, final approval of the version to be published. PID-D: conception and design of the spatial and machine learning analysis, analysis and interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published. PLS: conception and design of the study, interpretation of data, drafting the work, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

  • Funding This study was supported by national (PI14/00695, Institute of Health Carlos III, Spanish Ministry of Economy and Competitiveness) and community (GRS1030/A/14, SACYL, Junta Castilla y León) competitive grants and by the Spanish Cardiovascular Network (RIC and CIBERCV) from the Institute of Health Carlos III, Spanish Ministry of Economy and Competitiveness, Obra Social ‘la Caixa’ and Philips Ibérica Healthcare division.

  • Competing interests None declared.

  • Ethics approval The study has been approved by the clinical research ethics committee (CEIC) of the health area of Salamanca (‘CEIC of Salamanca Health Area, 29 September 2014).

  • Provenance and peer review Not commissioned; externally peer reviewed.

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