Desarrollo y validación de un modelo de estratificación del riesgo en pacientes con neumonía por SARS-CoV-2 (Covid Cruces)

  1. Martínez-Ruiz, Alberto 123
  2. Hernández-Sanz, María 3
  3. Ruano-Suárez, Carmen 3
  4. Maroño-Boedo, María-Jesús 3
  5. Guereca-Gala, Ane 3
  6. Olabarrieta, Unai 3
  7. Bergese, Sergio D. 4
  1. 1 Instituto de Investigación Sanitaria Biobizkaia
    info

    Instituto de Investigación Sanitaria Biobizkaia

    Barakaldo, España

    ROR https://ror.org/0061s4v88

  2. 2 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

  3. 3 Servicio Vasco de Salud-Osakidetza. Organización Sanitaria Integrada Ezkerraldea-Enkarterri-Cruces. Hospital Universitario Cruces. Servicio de Anestesia, Reanimación y Terapia del Dolor. Barakaldo, España
  4. 4 Universidad de Stony Brook. Departamento de Anestesiología. New York, Estados Unidos
Montrer des affiliations +
Revue:
Gaceta médica de Bilbao: Revista oficial de la Academia de Ciencias Médicas de Bilbao. Información para profesionales sanitarios

ISSN: 0304-4858,  2173-2302

Année de publication: 2022

Volumen: 119

Número: 1

Pages: 3-11

Type: Article

DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: Gaceta médica de Bilbao: Revista oficial de la Academia de Ciencias Médicas de Bilbao. Información para profesionales sanitarios

Résumé

Helburua:SARS-CoV-2 bidezko pneumonia diagnostikoa duten pazienteengan arriskua iragartzeko eta estratifikatzeko eredu bat garatzea eta baliozkotzea.Materiala eta metodoak:Kohorte- azterketa, behaketazkoa eta zentro bakarrekoa, COVID-19 pneumoniaren susmoa zuten ospitaleko larrialdira joaten ziren pazienteak barnean hartuta. Ospitaleratzean pazienteei buruzko datuak aztertu ditu: adina, generoa, komorbilitateen existentzia eta kopurua, datu analitikoak eta arnas maiztasuna, oxigeno saturazioa, Glasgow eskala.Emaitzak:Ereduak 15 aldagai hartu ditu barne, eta horrek, dagokion haztapenarekin, diskriminazio gaitasun handia erakutsi du, bai garapenean ( estatistikoa C0,823; konfiantza tartea: % 95), bai baliozkotzean (estatistikoa: C0,794; konfiantza tartea: %95).Ondorioak:Ereduak erakutsi du arrisku klinikoa bereiztekoneta estratifikatzeko gaitasun handia dagoela pazienteen 3 mailetan (baxuan, ertainean edo altuan).

Références bibliographiques

  • Fumagalli C, Rozzini R, Vannini M, Coccia F, Cesaroni G, Mazzeo F, et al. Clinical risk score to predict in-hospital mortality in COVID-19 patients: a retrospective cohort study. BMJ Open 2020; 10:040729.
  • Liang W, Liang H, Ou L, Chen B, Chen A, Li C, et al. Development and validation of a clinical risk score to predict the occurrence of critical illness in hospitalized patients with COVID-19. JAMA Intern Med 2020; 180:1081-9.
  • Ji D, Zhang D, Xu J, Chen Z, Yang T, Zhao P, et al. Prediction for progression risk in patients with COVID-19 pneumonia: the CALL Score. Clin Infect Dis 2020; 71:1393-9.
  • Knight SR, Ho A, Pius R, Buchan I, Carson G, Drake TM, et al. Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterization Protocol: development and validation of the 4C Mortality Score. BMJ 2020; 370:3339.
  • Bartoletti M, Giannella M, Scudeller L, Tedeschi S, Rinaldi M, Bussini L, et al. Development and validation of a prediction model for severe respiratory failure in hospitalized patients with SARS-Cov-2 infection: a multicenter cohort study (PREDI-CO study). Clin Microbiol Infect. 2020; 26:1545-53.
  • Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, et al. Pre- diction models for diagnosis and prognosis of COVID-19 infection: systematic review and critical appraisal. BMJ. 2020; 369:1328.
  • Gupta RK, Marks M, Samuels T, Luintel A, Rampling T, Chowdhury H, et al. Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study. Eur Respir J. 2020; 56:2003498.
  • Yadaw AS, Li YC, Bose S, Iyengar R, Bunyavanich S, Pandey G. Clinical features of COVID-19 mortality: development and validation of a clinical prediction model. Lancet Digit Health. 2020; 2:516-25.
  • Ajayi-Obe EK, Lodi E, Alkali AS, Galbati M, Rooney C, Mannoni B, et al. Prog- nostic scores for use in African meningococcal epidemics. Bull World Health Organ. 1998; 76:149-52.
  • Bassat Q, Lanaspa M, Machevo S, O'Callaghan-Gordo C, Madrid L, Nhampossa T, et al. Hypoxaemia in Mozambican children <5 years of age admitted to hospital with clinical severe pneumonia: clini - cal features and performance of predictor models. Trop Med Int Health. 2016; 21:1147-56.
  • Lanaspa M, Valim C, Acacio S, Almendinger K, Ahmad R, Wiegand R, et al. High reliability in respiratory rate assessment in children with respiratory symptomatology in a rural area in Mozambique. J Trop Pediatr. 2014; 60:93-8.
  • Casas Rojo JM, Antón Santos JM, Núñez-Cortés J, Lumbreras-Bermejo C, Ramos-Rincón JM, Roy-Vallejo E, et al. Clinical characteristics of patients hospitalized with COVID-19 in Spain: results from the SEMI-COVID-19 Network. Rev Clin Esp. 2020; 220:480-94.
  • M. Martínez-Lacalzada et al. Critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model. Clin Microbiol and Infect. 2021; 27:1838-1844.
La source de données: Dialnet