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Interpretable machine learning facilitates risk stratification based on non-invasive parameters in patients with pulmonary hypertension

Interpretable machine learning facilitates risk stratification based on non-invasive parameters in patients with pulmonary hypertension

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200062771
Enrollment
Unknown
Registered
2022-08-18
Start date
2022-08-15
Completion date
Unknown
Last updated
2023-04-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary Hypertension

Interventions

Case series:None

Sponsors

Gansu Provincial Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 86 Years

Inclusion criteria

Inclusion criteria: 1. Pulmonary hypertension diagnosed by RHC, which was defined as mean pulmonary artery pressure > 20mmHg; 2. Right heart catheterization (RHC) and Doppler echocardiography (DE) were performed in our hospital by experienced physicians and the interval between the two examinations was no more than seven days; 3. During the 7-day duration, the clinical status and drug treatment of the patients did not change significantly.

Exclusion criteria

Exclusion criteria: 1. Patients with mean pulmonary artery pressure less than 20 mmHg and with PH in group 2 and 3 as well as with missing one of the following data, such as WHO FC, 6MWD, NT-proBNP/BNP, PVRecho, TRVmax, TAPSE, IVC-D, IVC-CI, RAA, and RVA were excluded.

Design outcomes

Primary

MeasureTime frame
WHO functional class;6-minute walk distance;NT-proBNP;Right atrial pressure;Cardiac output;Mixed venous oxygen saturation;Pulmonary vascular resistance;Maximum velocity of tricuspid regurgitation;Tricuspid annular plane systolic excursion;Inferior vena cava diameter;Inferior vena cava collapsibility index;Right atrial area in end-systole;Right ventricular area in end-diastole;

Countries

China

Contacts

Public ContactYunshan Cao

Gansu Provincial Hospital

yunshancao@126.com+86 13669306699

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026