2023, Number 7
<< Back Next >>
Med Crit 2023; 37 (7)
Predictors of success in ventilatory weaning of neurocritical patients
Guerrero THE, Gómez GN, García POA, Santiago GF, Jiménez CC, González CPL
Language: Spanish
References: 20
Page: 593-599
PDF size: 255.64 Kb.
ABSTRACT
Introduction: little information is available on the processes of weaning from mechanical ventilation following severe neurological injury. The strategies employed have been extrapolated from research and protocols obtained from populations without neurocritical pathology.
Objective: to identify the best predictor associated with ventilatory weaning outcome in neurocritical patients.
Material and methods: an observational, analytical, longitudinal and ambispective study was conducted in a tertiary care hospital with a total sample of 56 patients. Correlation tests, ROC curves and a multiple linear regression model were performed. Setting: neurocritical patients with invasive mechanical ventilation (IMV) in the Intensive Care Unit (ICU). Intervention: a weaning protocol was recorded with the following. Variables of interest: weaning outcome (failure success), VISAGE, Four, NIF, P0.1, Peak flow, Yang/Tobin.
Results: 25 (44.64%) patients had successful weaning and 31 (55.36%) patients failed. Days of mechanical ventilation had a strong correlation with weaning failure (r 0.856 p < 0.001). Neurological assessment by Four scale at weaning had a moderate negative correlation (r -0.474 p < 0.001). In the simple linear regression an R 0.474 was obtained, which increases to R 0.938 with the sum of the other predictor variables.
Conclusions: of the predictor tests for extubation, the VISAGE Scale, P0.1 test and peak flow are more relevant for obtaining a higher success rate in weaning patients with neurological disease with IMV who will undergo a weaning process.
REFERENCES
Robayo M, Moreno J, Montañez E, Marcelo L. Perspectiva del cuidado respiratorio en el paciente crítico adulto. Fundación Universitaria del Área Andina Bogotá, 2021, p. 97.
Souter MJ, Manno EM. Ventilatory management and extubation criteria of the neurological/neurosurgical patient. Neurohospitalist. 2013;3(1):39-45. doi: 10.1177/1941874412463944.
Hernández GD, Cerón R, Escobar D, et al. Retiro de la ventilación mecánica. Med Crit. 2017;31(4):238-245. Disponible en: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S2448-89092017000400238&lng=es
Boles JM, Bion J, Connors A, et al. Weaning from mechanical ventilation. Eur Respir J. 2007;29(5):1033-1056. doi: 10.1183/09031936.00010206.
Wang S, Zhang L, Huang K, Lin Z, Qiao W, Pan S. Predictors of extubation failure in neurocritical patients identified by a systematic review and meta-analysis. PLoS One. 2014;9(12):e112198. doi: 10.1371/journal.pone.0112198.
Jibaja M, Sufan JL, Godoy DA. Controversies in weaning from mechanical ventilation and extubation in the neurocritical patient. Med Intensiva (Engl Ed). 2018;42(9):551-555. doi: 10.1016/j.medin.2018.04.006.
Punj P, Nattanmai P, George P, Newey CR. Abnormal breathing patterns predict extubation failure in neurocritically ill patients. Case Rep Crit Care. 2017;2017:9109054. doi: 10.1155/2017/9109054.
Montaño EA, Jiménez NG, Vargas G, et al. Utilidad del índice CROP como marcador pronóstico de extubación exitosa. Med Int Méx. 2015;31:164-173.
Kulkarni AP, Agarwal V. Fracaso de la extubación en la unidad de cuidados intensivos: predictores y manejo. Indian J Crit Care Med. 2008;12(1):1-9. doi: 10.4103/0972-5229.40942.
Anderson CD, Bartscher JF, Scripko PD, Biffi A, Chase D, Guanci M, Greer DM. Neurologic examination and extubation outcome in the neurocritical care unit. Neurocrit Care. 2011;15(3):490-497. doi: 10.1007/s12028-010-9369-7.
Hernández-López GD, Cerón-Juárez R, Escobar-Ortiz D, et al. Retiro de la ventilación mecánica. Med Crít. (Col. Mex. Med. Crít.). 2017;31(4):238-245. Disponible en: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S2448-89092017000400238&lng=es
Pin E, Sánchez JS, Flores R, et al. Los predictores en el retiro de la ventilación mecánica ¿resultan suficientes para el paciente neurocrítico? Med Int Méx. 2017;33(5):675-681.
Mullaguri N, Khan Z, Nattanmai P, Newey CR. Extubating the neurocritical care patient: a spontaneous breathing trial algorithmic approach. Neurocrit Care. 2018;28(1):93-96. doi: 10.1007/s12028-017-0398-3.
Ghali A, Nashawi M, Johal J, Learned J, Al-Hamaydeh MT, Seifi A, Hafeez S. The rothman index does not predict a successful extubation in the neurosurgical critical care unit. Cureus. 2021;13(7):e16339. doi: 10.7759/cureus.16339.
Videtta W, Vallejos J, Roda G, et al. Predictors of successful extubation in neurocritical care patients. Acta Neurochir Suppl. 2021;131:91-93. doi: 10.1007/978-3-030-59436-7_20.
Asehnoune K, Seguin P, Lasocki S, et al. Extubation success prediction in a multicentric cohort of patients with severe brain injury. Anesthesiology. 2017;127(2):338-346. doi: 10.1097/ALN.0000000000001725.
Muzette FM, Lima RBH, de Araújo Silva J, Comin TFB, Saraiva EF, Seki KLM, Christofoletti G. Accuracy and sensitivity of clinical parameters in predicting successful extubation in patients with acute brain injury. Neurol Int. 2022;14(3):619-627. doi: 10.3390/neurolint14030050.
Munarriz AC. Asociación de la fuerza de prensión manual con los índices predictores de destete de la ventilación mecánica y extubación en pacientes neurocríticos. Revista de Medicina Intensiva y Cuidados Críticos "Intensivos". 2019;12(1):5-11.
Kutchak FM, Rieder MM, Victorino JA, Meneguzzi C, Poersch K, Forgiarini LA Junior, Bianchin MM. Simple motor tasks independently predict extubation failure in critically ill neurological patients. J Bras Pneumol. 2017;43(3):183-189. doi: 10.1590/S1806-37562016000000155.
Battaglini D, Siwicka Gieroba D, Brunetti I, et al. Mechanical ventilation in neurocritical care setting: a clinical approach. Best Pract Res Clin Anaesthesiol. 2021;35(2):207-220. Available in: https://doi.org/10.1016/j.bpa.2020.09.001