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Machine learning-based predictive model for pulmonary hypertension risk stratification in chronic kidney disease: development, internal validation and temporal external validation

Key takeaways

This study built a computer model to predict high blood pressure in the lungs. It used data from 393 people with kidney disease. The model helps doctors decide who needs a heart test. This is an observational study, so it shows a link, not proof of cause.

Who did this work

Mengxing Chen (Nanjing First Hospital) · Yang Zhang (Nanjing First Hospital) · Li Fan (Nanjing First Hospital) · Fangrong He (Nanjing First Hospital) · Jinpeng Yang (Nanjing Medical University) · Hang Zhang (Nanjing First Hospital) · Xin Hua Wan (Nanjing First Hospital) · Xiaobing Ji (Nanjing First Hospital)

Source

Article · OpenAlex, CKD works · 2026-10-01
https://doi.org/10.1186/s12882-026-05312-2