Effect of open versus closed endotracheal suctioning on intracranial pressure in severe brain‐injured children: Study protocol for a randomized controlled trial

Li, Yan; Li, Xiaoyan; Wen, Zunjia; Zhang, Xin; Liu, Yingfei; Li, Wei

doi:10.1002/nop2.656

Cited by 5 publications

(1 citation statement)

References 32 publications

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“…In preterm infants, autoregulation of cerebral blood ow is not well developed, and direct impact of blood ow on the cerebrovascular wall can cause rupture and bleeding. It has been shown that altered cerebral blood ow occurs in neonates after mechanical ventilation, increasing the risk of brain injury [16,17] . Different mechanical ventilation parameters are used depending on the condition of the patient, making it di cult to categorize mechanical ventilation as a single covariate.…”

Section: Discussionmentioning

confidence: 99%

Risk Factors and Nomogram for the Prediction of Intracranial Hemorrhage in Very Preterm Infants

Wang,

Ruan,

Xie

et al. 2024

Preprint

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Aims: This study aims to identify important risk factors for intracranial hemorrhage (ICH) in very preterm infants at our institution and develop a predictive nomogram for early detection of ICH. Methods: We retrospectively analyzed neonates with a gestational age (GA) under 32 weeks, admitted to the neonatal intensive care unit from March 2022 to July 2023. Infants were categorized into two groups based on ultrasound findings and assessed for thirteen variables including gender, GA, birth weight (BW), acidosis, among others. We used multivariate logistic regression analysis to build a prediction model and identify independent risk factors for ICH. We build a prediction model by assigning 241 cases to the training set and 103 to the validation set (ratio 7:3). Results: Among 344 very preterm infants, the incidence of ICH was 36.9% (89 cases) in training set. Significant differences were observed in gestational age, birth weight, antenatal corticosteroids, mechanical ventilation more than three days, and acidosis between cases and controls. Logistic regression analysis identified gestational age (OR=0.946), antenatal corticosteroids (OR=0.269), acidosis (OR=2.391), and mechanical ventilation more than three days(OR=3.215) as independent risk factors for ICH. The C-index of the training and validation sets was 0.802 (95% CI=0.713-0.891) and 0.803 (95% CI=0.744-0.803), respectively. According to decision curve analysis, the sensitivity and specificity of the model were 73.03% and 76.97%, respectively. Conclusion: Acidosis and mechanical ventilation are independent risk factors for ICH in very preterm neonates, while higher gestational age and antenatal corticosteroid use are protective. The nomogram developed from these four factors demonstrates strong predictive accuracy and calibration, which can aid clinicians in identifying preterm infants at high risk for ICH and facilitate early diagnosis and management.

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Section: Discussionmentioning

confidence: 99%

Risk Factors and Nomogram for the Prediction of Intracranial Hemorrhage in Very Preterm Infants

Wang,

Ruan,

Xie

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Optimization of lung ultrasound in ultrafast-track anesthesia for non-cyanotic congenital heart disease surgery

Xie,

Ma,

Lin

et al. 2024

Heliyon

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Risk factors and nomogram for the prediction of intracranial hemorrhage in very preterm infants

Wang,

Yang,

Wen

et al. 2024

BMC Pediatr

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Aims This study aims to identify important risk factors for intracranial hemorrhage (ICH) in very preterm infants at our institution and develop a predictive nomogram for early detection of ICH. Methods We retrospectively analyzed neonates with a gestational age (GA) under 32 weeks, admitted to the neonatal intensive care unit from March 2022 to July 2023. Infants were categorized into two groups based on ultrasound findings and assessed for thirteen variables including gender, GA, birth weight (BW), acidosis, among others. We used multivariate logistic regression analysis to build a prediction model and identify independent risk factors for ICH. We build a prediction model by assigning 241 cases to the training set and 103 to the validation set (ratio 7:3). Results Among 344 very preterm infants, the incidence of ICH was 36.9% (89 cases) in training set. Significant differences were observed in gestational age, birth weight, antenatal corticosteroids, mechanical ventilation days, and acidosis between cases and controls. Logistic regression analysis identified gestational age (OR = 0.674), antenatal corticosteroids (OR = 0.257), acidosis (OR = 2.556), and mechanical ventilation mechanical ventilation days(OR = 0.257) as independent risk factors for ICH. The C-index of the training and validation sets was 0.814 (95% CI: 0.762–0.869) and 0.784 (95% CI: 0.693–0.875), respectively. According to decision curve analysis, our model outperformed the “None” and “All” baseline lines over a wide range of risk thresholds (0.12–0.92). Conclusion Acidosis and mechanical ventilation are independent risk factors for ICH in very preterm neonates, while higher gestational age and antenatal corticosteroid use are protective. The nomogram developed from these four factors demonstrates strong predictive accuracy and calibration, which can aid clinicians in identifying preterm infants at high risk for ICH and facilitate early diagnosis and management.

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Effect of open versus closed endotracheal suctioning on intracranial pressure in severe brain‐injured children: Study protocol for a randomized controlled trial

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 5 publications

References 32 publications

Risk Factors and Nomogram for the Prediction of Intracranial Hemorrhage in Very Preterm Infants

Risk Factors and Nomogram for the Prediction of Intracranial Hemorrhage in Very Preterm Infants

Optimization of lung ultrasound in ultrafast-track anesthesia for non-cyanotic congenital heart disease surgery

Risk factors and nomogram for the prediction of intracranial hemorrhage in very preterm infants

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