Bibliography
1.
Martinez FD. Trends in asthma prevalence, admission rates, and asthma
deaths. Respir Care. 2008;53(5):561-5; discussion 5-7.
2.
Graham LM. Preschool wheeze prognosis: how do we predict outcome?
Paediatr Respir Rev. 2006;7 Suppl 1:S115-6.
3.
Najaf-Zadeh A, Leclerc F. Noninvasive positive pressure ventilation for
acute respiratory failure in children: a concise review. Ann Intensive
Care. 2011;1(1):15.
4.
Javouhey E, Barats A, Richard N, Stamm D, Floret D. Non-invasive
ventilation as primary ventilatory support for infants with severe
bronchiolitis. Intensive Care Med. 2008;34(9):1608-14.
5.
Abboud PA, Roth PJ, Skiles CL, Stolfi A, Rowin ME. Predictors of failure
in infants with viral bronchiolitis treated with high-flow,
high-humidity nasal cannula therapy*. Pediatr Crit Care Med.
2012;13(6):e343-9.
6.
Luo G, Nkoy FL, Gesteland PH, Glasgow TS, Stone BL. A systematic review
of predictive modeling for bronchiolitis. Int J Med Inform.
2014;83(10):691-714.
7.
Mayordomo-Colunga J, Medina A, Rey C, Diaz JJ, Concha A, Los Arcos M, et
al. Predictive factors of non invasive ventilation failure in
critically ill children: a prospective epidemiological study.Intensive Care Med. 2009;35(3):527-36.
8.
Estadisticas DAN. Proyecciones de poblacion 2018 [03/07/2019].
Available from:
https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/proyecciones-de-poblacion.
9. Colciencias MdSyPS-. Guía de Práctica Clínica Para el diagnóstico,
atención integral y seguimiento de niños y niñas con diagnóstico de
Asma. Guía No. 01 2014 [Available from: ,http://gpc.minsalud.gov.co/gpc_sites/Repositorio/Conv_500/GPC_asma/GPC_Comp_Asma.pdf.
10. Riley RD, Ensor J, Snell KIE, Harrell FE, Jr., Martin GP, Reitsma
JB, et al. Calculating the sample size required for developing a
clinical prediction model. BMJ. 2020;368:m441.
11. Papenburg J, Fontela PS, Freitas RR, Burstein B. Inappropriate
Antibiotic Prescribing for Acute Bronchiolitis in US Emergency
Departments, 2007-2015. J Pediatric Infect Dis Soc. 2019.
12. Greenland S. Modeling and variable selection in epidemiologic
analysis. Am J Public Health. 1989;79(3):340-9.
13. Sullivan LM, Massaro JM, D’Agostino RB, Sr. Presentation of
multivariate data for clinical use: The Framingham Study risk score
functions. Stat Med. 2004;23(10):1631-60.
14. Altman DG, Bland JM. Diagnostic tests 3: receiver operating
characteristic plots. BMJ. 1994;309(6948):188.
15. Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N,
et al. Assessing the performance of prediction models: a framework for
traditional and novel measures. Epidemiology. 2010;21(1):128-38.
16. Schuh S, Kwong JC, Holder L, Graves E, Macdonald EM, Finkelstein Y.
Predictors of Critical Care and Mortality in Bronchiolitis after
Emergency Department Discharge. J Pediatr. 2018;199:217-22 e1.
17. Buendia JA, Patino DG. Costs of Respiratory Syncytial Virus
Hospitalizations in Colombia. Pharmacoecon Open. 2020.
18. Rodriguez-Martinez CE, Sossa-Briceno MP, Castro-Rodriguez JA. Direct
medical costs of RSV-related bronchiolitis hospitalizations in a
middle-income tropical country. Allergol Immunopathol (Madr). 2019.
19. Rodriguez-Martinez CE, Sossa-Briceno MP, Nino G. Predictors of
prolonged length of hospital stay for infants with bronchiolitis. J
Investig Med. 2018;66(6):986-91.
Figure legends-
Figure 1. Receiver operating characteristic curve for the clinical risk
score.
Figure 2. Calibration plots for the clinical risk score.