Prediction of extubation success using the diaphragmatic electromyograph results in ventilated neonates

Katie A Hunt, Ian Hunt, Kamal Ali, Theodore Dassios, Anne Greenough, Katie A Hunt, Ian Hunt, Kamal Ali, Theodore Dassios, Anne Greenough

Abstract

Objectives Extubation failure is common in infants and associated with complications. Methods A prospective study was undertaken of preterm and term born infants. Diaphragm electromyogram (EMG) was measured transcutaneously for 15-60 min prior to extubation. The EMG results were related to tidal volume (Tve) to calculate the neuroventilatory efficiency (NVE). Receiver operating characteristic curves (ROC) were constructed and areas under the ROCs (AUROC) calculated. Results Seventy-two infants, median gestational age 28 (range 23-42) weeks were included; 15 (21%) failed extubation. Infants successfully extubated were more mature at birth (p=0.001), of greater corrected gestational age (CGA) at extubation (p<0.001) and heavier birth weight (p=0.005) than those who failed extubation. The amplitude and area under the curve of the diaphragm EMG were not significantly different between those who were and were not successfully extubated. Those successfully extubated required a significantly lower inspired oxygen and had higher expiratory tidal volumes (Tve) and NVE. The CGA and Tve had AUROCs of 0.83. A CGA of >29.6 weeks had the highest combined sensitivity (86%) and specificity (80%) in predicting extubation success. Conclusions Although NVE differed significantly between those who did and did not successfully extubate, CGA was the best predictor of extubation success.

Keywords: extubation; transcutaneous diaphragmatic electromyography; ventilated infants.

References

    1. Chawla, S, Natarajan, G, Gelmini, M, Kazzi, SN. Role of spontaneous breathing trial in predicting successful extubation in premature infants. Pediatr Pulmonol 2013;48:443–8. .
    1. Baisch, SD, Wheeler, WB, Kurachek, SC, Cornfield, DN. Extubation failure in pediatric intensive care incidence and outcomes. Pediatr Crit Care Med 2005;6:312–8. .
    1. Shalish, W, Latremouille, S, Papenburg, J, Sant’Anna, GM. Predictors of extubation readiness in preterm infants: a systematic review and meta-analysis. Arch Dis Child Fetal Neonatal Ed 2019;104:F89–97. .
    1. Al-Mandari, H, Shalish, W, Dempsey, E, Keszler, M, Davis, PG, Sant’Anna, G. International survey of periextubation practices in extremely preterm infants. Arch Dis Child Fetal Neonatal Ed 2015;100:F428–31. .
    1. Kraaijenga, JV, de Waal, CG, Hutten, GJ, de Jongh, FH, van Kaam, AH. Diaphragmatic activity during weaning from respiratory support in preterm infants. Arch Dis Child Fetal Neonatal Ed 2017;102:F307–11. .
    1. Iyer, NP, Dickson, J, Ruiz, ME, Chatburn, R, Beck, J, Sinderby, C, et al. Neural breathing pattern in newborn infants pre- and postextubation. Acta Paediatr 2017;106:1928–33. .
    1. Wolf, GK, Walsh, BK, Green, ML, Arnold, JH. Electrical activity of the diaphragm during extubation readiness testing in critically ill children. Pediatr Crit Care Med 2011;12:e220–4. .
    1. Liu, L, Liu, H, Yang, Y, Huang, Y, Liu, S, Beck, J, et al. Neuroventilatory efficiency and extubation readiness in critically ill patients. Crit Care 2012;16:R143. .
    1. Bhat, P, Peacock, JL, Rafferty, GF, Hannam, S, Greenough, A. Prediction of infant extubation outcomes using the tension-time index. Arch Dis Child Fetal Neonatal Ed 2016;101:F444–7. .
    1. Dimitriou, G, Greenough, A, Endo, A, Cherian, S, Rafferty, GF. Prediction of extubation failure in preterm infants. Arch Dis Child Fetal Neonatal Ed 2002;86:F32–5. .
    1. O’Brien, MJ, Van Eykern, LA, Prechtl, HR. Monitoring respiratory activity in infants: a non-intrusive diaphragm EMG technique. In: Non Invasive Physiological Measurements. London: Academic; 1983, vol. 2, pp. 131–77.
    1. Treeby, BE, Cox, BT. k- Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields. J Biomed Opt 2010;15:021314. .
    1. Kavvadia, V, Greenough, A, Dimitriou, G. Prediction of extubation failure in preterm neonates. Eur J Pediatr 2000;159:227–31. .
    1. Fox, WW, Schwartz, JG, Shaffer, TH. Successful extubation of neonates: clinical and physiological factors. Crit Care Med 1981;9:823–6. .
    1. De Oliveira Costa, AC, De Carvalho Schettino, R, Ferreira, SC. Predictors of extubation failure and reintubation in newborn infants subjected to mechanical ventilation. Rev Bras Ter Intensiva 2014;26:51–6. .
    1. Dassios, T, William, E, Ambulkar, H, Shetty, S, Hickey, A, Greenough, A. Tidal volumes and outcome of extubation in mechanically ventilated premature infants. Am J Perinatol 2020;37:204–9. .
    1. Singh, N, McNally, MJ, Darnall, RA Does diaphragmatic electrical activity in preterm infants predict extubation success?. Respir Care 2018;63:203–7. .
    1. Firestone, KS, Fisher, S, Reddy, S, White, DB, Stein, HM Effect of changing NAVA levels on peak inspiratory pressures and electrical activity of the diaphragm in premature neonates. J Perinatol 2015;35:612–6. .
    1. Giaccone, A, Jensen, E, Davis, P, Schmidt, B. Definitions of extubation success in very premature infants: a systematic review. Arch Dis Child Fetal Neonatal Ed 2014;99:F124–7. .
    1. Shalish, W, Kanbar, L, Kovacs, L, Chawla, S, Kaszler, M, Rao, S, et al. The impact of time interval between extubation and reintubation on death or bronchopulonary dysplasia in extremely preterm infants. J Pediatr 2019;205:70–76. .
    1. van Leuteren, RW, Bekhuis, RE, de Waal, CG, de Jongh, FH, van Kaam, AH, Hutten, GJ. Diaphragmatic electromyography in preterm infants: the influence of electrode positioning. Pediatric Pulmonology 2020;55:354–9. .
    1. Williams, EE, Hunt, KA, Jeyakara, J, Subba-Rao, R, Dassios, T, Greenough, A Electrical activity of the diaphragm following a loading dose of caffeine citrate in ventilated preterm infants. Pediatr Res 2020 March;87:740–4. .
    1. Hird, M, Greenough, A, Gamsu, H. Gas trapping during high frequency positive pressure ventilation using conventional ventilators. Early Hum Dev 1990;22:51–6. .

Source: PubMed

3
Subscribe