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Early Warning of Structural Complications in Perimembranous VSD

22 juni 2026 uppdaterad av: Kun Sun, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

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.

Studieöversikt

Status

Aktiv, inte rekryterande

Betingelser

Studietyp

Observationell

Inskrivning (Beräknad)

11683

Kontakter och platser

Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.

Studieorter

Kina
- Shanghai Municipality
  - Shanghai, Shanghai Municipality, Kina, 200092
    - Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

Barn

Tar emot friska volontärer

Nej

Testmetod

Icke-sannolikhetsprov

Studera befolkning

Pediatric patients with perimembranous ventricular septal defect evaluated at six tertiary referral centers between 2004 and 2022.

Beskrivning

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.

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

Antal grupper/kohorter

Kohorter och interventioner

Grupp / Kohort
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.
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.

Vad mäter studien?

Primära resultatmått

Resultatmått	Åtgärdsbeskrivning	Tidsram
Occurrence of Perimembranous Ventricular Septal Defect Related Structural Complications Tidsram: From initial diagnosis through 3 years after diagnosis	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.	From initial diagnosis through 3 years after diagnosis

Sekundära resultatmått

Resultatmått	Åtgärdsbeskrivning	Tidsram
Area Under the Precision-Recall Curve (AUCPR) for Complication Prediction Tidsram: From initial diagnosis through 3 years after diagnosis	The area under the precision-recall curve (AUCPR) of the model for predicting PMVSD-related complication endpoint.	From initial diagnosis through 3 years after diagnosis
Sensitivity of the Model at a Pre-Specified Risk Threshold Tidsram: From initial diagnosis through 3 years after diagnosis	Sensitivity for predicting PMVSD-related complication endpoint at a pre-specified probability (risk) threshold.	From initial diagnosis through 3 years after diagnosis
Positive Predictive Value (PPV) of the Model at a Pre-Specified Risk Threshold Tidsram: From initial diagnosis through 3 years after diagnosis	Positive predictive value (PPV) for predicting PMVSD-related complication endpoint at the same pre-specified probability (risk) threshold.	From initial diagnosis through 3 years after diagnosis
Negative Predictive Value (NPV) of the Model at a Pre-Specified Risk Threshold Tidsram: From initial diagnosis through 3 years after diagnosis	Negative predictive value (NPV) for predicting PMVSD-related complication endpoint at the same pre-specified probability (risk) threshold.	From initial diagnosis through 3 years after diagnosis

Samarbetspartners och utredare

Det är här du hittar personer och organisationer som är involverade i denna studie.

Sponsor

Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Faktisk)

1 januari 2004

Primärt slutförande (Faktisk)

1 januari 2022

Avslutad studie (Beräknad)

1 juli 2027

Studieregistreringsdatum

Först inskickad

1 juni 2026

Först inskickad som uppfyllde QC-kriterierna

22 juni 2026

Första postat (Faktisk)

23 juni 2026

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)