Predictors of Extubation Failure in Ventilated Neonates (Neonates)
調査の概要
状態
状態
詳細な説明
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.
研究の種類
研究の種類
入学 (推定)
入学
参加基準
適格基準
適格基準
就学可能な年齢
- 子
- 大人
- 高齢者
健康ボランティアの受け入れ
サンプリング方法
調査対象母集団
説明
Inclusion Criteria:
- Neonates (gestational age 28-44 weeks corrected) mechanically ventilated for ≥48 hours
- Planned extubation as determined by the treating neonatologist
- Hemodynamically stable at enrollment
Exclusion Criteria:
- Major congenital anomalies
- Neuromuscular disorders
- Thoracic malformations
- Inborn error of metabolism
- Unplanned/accidental extubation
研究計画
研究はどのように設計されていますか?
デザインの詳細
グループ/コホートの数
コホートと介入
グループ/コホートグループ/コホート |
|---|
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Extubatuin sucess
Parameters of neonates who will be successed to be weaned
|
|
Extubation failure
Parameters of neonates who will be failed to be weaned
|
この研究は何を測定していますか?
主要な結果の測定
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
The role of functional echocardiography in predicting exutbation failure
時間枠:baseline
|
The role of functional echocardiography in predicting exutbation failure
|
baseline
|
|
The role of Chest ultrasound in predicting extubation failure
時間枠:baseline
|
The role of Chest ultrasound in predicting extubation failure
|
baseline
|
|
The role of plasma soluble intercellular adhesion molecule-1 in predicting extubation failure
時間枠:baseline
|
The role of plasma soluble intercellular adhesion molecule-1 in predicting extubation failure
|
baseline
|
協力者と研究者
研究記録日
主要日程の研究
研究開始 (推定)
研究開始
一次修了 (推定)
一次修了
研究の完了 (推定)
研究の完了
試験登録日
最初に提出
最初に提出
QC基準を満たした最初の提出物
QC基準を満たした最初の提出物
最初の投稿 (実際)
最初の投稿
学習記録の更新
投稿された最後の更新 (実際)
投稿された最後の更新
QC基準を満たした最後の更新が送信されました
QC基準を満たした最後の更新が送信されました
最終確認日
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
その他の研究ID番号
- Extubation failure
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。