Early Warning of Structural Complications in Perimembranous VSD
Early Warning of Structural Complications Related to Perimembranous Ventricular Septal Defect Using Unstructured Echocardiographic Text Mining and Machine Learning
The goal of this observational study is to develop and test a AI-based prediction model for children with perimembranous ventricular septal defect, also called PMVSD. PMVSD is a type of hole between the lower chambers of the heart. Some children with PMVSD may later develop heart structure problems, such as aortic valve prolapse or leakage, subaortic fibrous ridge, left ventricle-to-right atrium shunt, or right ventricular outflow tract obstruction.
This study will use past medical records and echocardiography reports from children who received care at six hospitals in China between 2004 and 2022. The main questions it aims to answer are:
Can information written in echocardiography reports help predict which children with PMVSD are more likely to develop heart structure problems? Can natural language processing and machine learning improve early risk prediction when used together with routine clinical information? Researchers will review existing, de-identified medical data. They will use natural language processing to turn written descriptions in echocardiography reports into data that a computer model can analyze. These descriptions may include details about the edge of the heart defect, the direction of blood flow, and the relationship between the defect and nearby heart valves.
Participants will not receive any study treatment or extra tests. The study will only use information already collected during routine medical care. The prediction models will be trained and tested using data from different hospitals to see how well they work across medical centers.
調査の概要
状態
研究の種類
入学 (推定)
連絡先と場所
研究場所
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Shanghai Municipality
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Shanghai、Shanghai Municipality、中国、200092
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
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参加基準
適格基準
就学可能な年齢
- 子
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:
- Children aged 14 years or younger at the time of presentation/diagnosis;
- Confirmed diagnosis of perimembranous ventricular septal defect (PMVSD), or PMVSD accompanied by minor cardiac anomalies that do not alter the hemodynamic status of the VSD, including small patent foramen ovale, atrial septal defect, patent ductus arteriosus, or persistent left superior vena cava;
- Availability of at least two consecutive follow-up records, with consistency between the electronic echocardiography reports and the Hospital Information System data.
Exclusion Criteria:
- Age older than 14 years at diagnosis;
- Presence of complex congenital heart disease;
- Patients lost to follow-up due to inability to establish contact, resulting in an indeterminate clinical outcome.
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
コホートと介入
グループ/コホート |
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Training cohort
Participants from the multicenter retrospective dataset used for model development.
Unstructured echocardiographic text and clinical data from this cohort will be used for feature extraction, model training, and internal optimization to establish an early warning model for structural complications related to perimembranous ventricular septal defect.
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Validaction cohort
An independent subset of participants from the multicenter retrospective dataset used for model validation.
Data from this cohort will be used to evaluate the discrimination, calibration, and generalizability of the developed early warning model for structural complications related to perimembranous ventricular septal defect.
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
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Occurrence of Perimembranous Ventricular Septal Defect Related Structural Complications
時間枠：From initial diagnosis through 3 years after diagnosis
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Occurrence of at least one structural complication related to perimembranous ventricular septal defect, as identified by echocardiography, including: (1) aortic valve prolapse and/or aortic regurgitation, defined as valvular leaflet displacement into the defect and/or regurgitation detected by color Doppler; (2) subaortic fibrous ridge, defined as abnormal fibrous strand or ridge-like echogenicity in the left ventricular outflow tract; (3) left ventricle-to-right atrium shunt; or (4) right ventricular outflow tract obstruction, defined as abnormal muscular bundle hypertrophy with increased Doppler flow velocity and a peak pressure gradient greater than 20 mmHg.
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From initial diagnosis through 3 years after diagnosis
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
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Area Under the Precision-Recall Curve (AUCPR) for Complication Prediction
時間枠：From initial diagnosis through 3 years after diagnosis
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The area under the precision-recall curve (AUCPR) of the model for predicting PMVSD-related complication endpoint.
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From initial diagnosis through 3 years after diagnosis
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Sensitivity of the Model at a Pre-Specified Risk Threshold
時間枠：From initial diagnosis through 3 years after diagnosis
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Sensitivity for predicting PMVSD-related complication endpoint at a pre-specified probability (risk) threshold.
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From initial diagnosis through 3 years after diagnosis
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Positive Predictive Value (PPV) of the Model at a Pre-Specified Risk Threshold
時間枠：From initial diagnosis through 3 years after diagnosis
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Positive predictive value (PPV) for predicting PMVSD-related complication endpoint at the same pre-specified probability (risk) threshold.
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From initial diagnosis through 3 years after diagnosis
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Negative Predictive Value (NPV) of the Model at a Pre-Specified Risk Threshold
時間枠：From initial diagnosis through 3 years after diagnosis
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Negative predictive value (NPV) for predicting PMVSD-related complication endpoint at the same pre-specified probability (risk) threshold.
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From initial diagnosis through 3 years after diagnosis
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協力者と研究者
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
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
詳しくは
本研究に関する用語
追加の関連 MeSH 用語
その他の研究ID番号
- XHEC-C-2026-099
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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