Predictors of Extubation Failure in Ventilated Neonates

Mechanical ventilation (MV) is life-saving in the neonatal intensive care unit (NICU), yet extubation timing remains one of the most consequential and poorly standardized decisions in neonatology. The rate of extubation failure (EF) increases from 20% in infants born at 28-31 weeks gestational age to more than 60% in very preterm infants born at less than 28 weeks gestational age, for several reasons including frequent or severe apneas, residual lung disease, immature respiratory drive, and the presence of an unstable patent ductus arteriosus (PDA) .

EF is defined as the need for reintubation within 72 hours of a planned extubation attempt, and its consequences are profound. EF not only prolongs the duration of MV but is independently associated with increased mortality, morbidity, length of hospital stay, and healthcare costs.

Clinical judgment, personal experience, bedside observation of blood gases, oxygen requirements, and ventilator settings are typically used to make decisions on whenever to extubate or not. Consequently, there are significant practical differences and a paucity of protocols to simplify the management of all components of the peri-extubation process, with decisions often being physician-dependent rather than evidence-based, which may lead to inappropriate extubation.

The emergence of point-of-care ultrasound (POCUS) and targeted neonatal echocardiography (TNE) has created new opportunities for objective, real-time, bedside physiological assessment. Lung ultrasound score (LUS), diaphragmtic thickening fraction (DTF) and excursion, arterial blood gas (ABG) analysis, and functional echocardiographic hemodynamic assessment, including left ventricular outflow tract velocity time integral (LVOT VTI), right ventricular outflow tract (RVOT), and patent ductus arteriosus (PDA) characterization, represent four physiologically independent domains that together capture the full spectrum of mechanisms underlying extubation failure. No validated multimodal bedside scoring tool combining all four domains currently exists in neonatology.

This protocol proposes a prospective observational study to develop and validate such a model, directly addressing a critical evidence gap identified by recent systematic reviews.