medigraphic.com
SPANISH

Revista Médica Electrónica

ISSN 1684-1824 (Electronic)
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2020, Number 6

<< Back Next >>

Rev Méd Electrón 2020; 42 (6)

External validation of the predictive model of mortality in elder people with community-acquired pneumonia

García ÁPJ
Full text How to cite this article

Language: Spanish
References: 15
Page:
PDF size: 165.34 Kb.


Key words:

mortality, pneumonia, predictive model.

ABSTRACT

Introduction: community-acquired pneumonia is the infectious disease leading to higher mortality in developed countries. The diagnosis goes through several moments, clinical symptoms, analytics, and images.
Objective: to perform the external validation of a predictive mathematical model of mortality in patients admitted by serious community-acquired pneumonia.
Methods: longitudinal prospective (cohort) study with a group formed with all patients who were admitted to the Emergent Intensive Care Unit in the Military Hospital ¨Dr. Carlos Juan Finlay¨ with the diagnosis of community-acquired pneumonia, from February 2018 to March 2019. The universe was formed by 160 patients and no sample was chosen.
Results: Kappa index K= 1. Hosmer Lemenshow test= 0.650 with a high adjustment. Result of the model with sensibility= 79 %. Specificity= 91 % with (APV) = 80 and (NPV) = 91. RR= 9.1. Area under the curve= 0997. Percentage of correctness in logistic regression of 88.4 %.
Conclusions: The proposed model was a useful tool in the early detection of patients at near-term death risk. It allowed to unite in an only variant the result of others that apparently are not related one to another, making it easier the interpretation of the results, since it reflects the whole and not the individuality.


REFERENCES

  1. Lara Aguayo P, Rojas Amezcua M, de-la-Fuente Martos C, et al. Neumonía adquirida en a comunidad. In Fotoletra SA, editor. Tratado de Medicina Intensiva. Barcelona, España: Elsevier; 2017. p. 659.

  2. Sharma S, Sneath E, Cheng A, et al. Community-acquired syndromes causing morbidity and mortality in Australia.Commun Dis Intell Q Rep. 2017;41(1):E49-E57.Citado en PubMed:PMID:28385138.

  3. Caggiano S, Ullmann N, De-Vitis E, et al. Factors That Negatively Affect the Prognosis of Pediatric Community-Acquired Pneumonia in District Hospital in Tanzania.Int J Mol Sci. 2017 ;18(3). pii: E623. Citado en PubMed:PMID:28335406 .

  4. Upchurch C, Grijalva C, Wunderink R, et al. Community-acquired Pneumonia Visualized on Computed Tomography but Not Chest X-Ray: Pathogens, Severity, and Clinical Outcomes.Chest. 2017; (17)3:1392-2. Citado en PubMed;PMID:28802696

  5. Franco J. Community-acquired Pneumonia.Radiol Technol. 2017 ;88(6):621-636. Citado en PubMed;PMID:28900048.

  6. Mezquía de-Pedro N, Soler Morejón C, Tamargo Barbeito T, et al. Aplicación de un índice pronóstico de mortalidad en pacientes con insuficiencia cardiaca aguda.Rev Cubana de Medicina [Internet]. 2016[citado 18/12/2017];55(4):1-10. Disponible en: Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0034-75232016000400003

  7. Jimenez Guerra S. Modelo Predictivo de Neumonía y Moratalidad en Pacientes Ventilados. [Tesis doctoral]. Matanzas,Cuba: Instituto Superior de Medicina Militar; 2008.

  8. García Álvarez P. Aplicación de redes neuronales en la predicción de mortalidad por neumonía. Rev Méd Electrón [Internet].2018 [citado 22/12/2018] ;40(5).Disponible en: Disponible en: http://www.revmedicaelectronica.sld.cu/index.php/rme/article/view/2462/4029

  9. Arméstar F, Almirall J, Módol J, et al. Factores pronósticos de la neumonía neumocócica grave. Revista Médica de Truillo[Internet].2017[citado 29/04/2019]; 12(1). Disponible en: Disponible en: http://www.revistas.unitru.edu.pe/index.php/RMT/issue/view/275

  10. Cruz Nato S, Freyre Cisneros L. Aplicación de la escala qSOFA en comparación con los criterios de SIRS para decisión de alta temprana en pacientes adultos que presentan neumonía e infección de vías urinarias. Quito,Ecuador: Hospital Eugenio Espejo, Servicio de Emergencia; 2017.Disponible: http://www.dspace.uce.edu.ec/handle/25000/11965

  11. Majano Almao K, Briceño Álvarez S. Factores pronósticos de mortalidad en pacientes ancianos hospitalizados por neumonía adquirida en la comunidad.QhaliKay. Rev de Ciencias de la Salud[Internet]. 2018[citado 30/04/2019];2(2): 8. Disponible en: Disponible en: https://doi.org/10.1016/j.jnma.2018.03.008

  12. Ito A, Ishida T, Tokumasu H, et al. Prognostic factors in hospitalized community-acquired pneumonia: a retrospective study of a prospective observational cohort. BMC Pulm Med[Internet]. 2017[citado 31/07/2017];17(1):78. Disponible en: Disponible en: https://bmcpulmmed.biomedcentral.com/articles/10.1186/s12890-017-0424-4

  13. Noguchi S, Yatera K, Kawanami T, et al. Pneumonia Severity Assessment Tools for Predicting Mortality in Patients with Healthcare-Associated Pneumonia: A Systematic Review and Meta-Analysis. Respiration. 2017 Citado en PubMed;PMID:2844900.

  14. Méndez Fandiño Y, Caicedo Ochoa E, Alexandra Amaya N, et al. Evaluación de índices CURB-65, Quick-SOFA e índice de Charlson en la predicción de mortalidad. Revista Colombiana de Neumología[Internet].2018 [Citado 20/04/2019];30(1). Disponible en: Disponible en: http://dx.doi.org/10.30789/rcneumologia.v30.n1.2018.297

  15. Saldías Peñafiel F, Uribe Monasterioa J, Gassmann Poniachika J, Predicción de eventos adversos en NAC hospitalizada. Rev Med Chile[Internet]. 2017[citado 28/04/2019]; 145: 694-702. Disponible en: doi:10.4067/s0034-98872017000600694




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Rev Méd Electrón. 2020;42