Non-invasive prediction of the first ventilatory threshold in Chinese patients with chronic heart failure for personalized exercise prescription - Takeaways - MDSpire

Non-invasive prediction of the first ventilatory threshold in Chinese patients with chronic heart failure for personalized exercise prescription

  • By

  • Xiaoling Liu

  • Jue Yuan

  • Qingxuan Yang

  • Yuxuan Fan

  • Wenjuan Xiu

  • Yuqin Shen

  • July 6, 2026

  • 0 min

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  • 1

    The study developed non-invasive prediction models for the first ventilatory threshold (VT1) in chronic heart failure (CHF) patients.

  • 2

    225 CHF patients underwent standardized cardiopulmonary exercise testing (CPET) to analyze exercise intensity and develop prediction models.

  • 3

    Traditional percentage-based exercise intensity prescriptions were found inadequate, with significant individual variations in VT1 achievement.

  • 4

    The VO2-VT1 prediction model showed strong agreement with an R2 of 0.65, while the HR-VT1 model demonstrated moderate-to-strong agreement.

  • 5

    Validated models enable accurate estimation of VT1 parameters using basic clinical data, offering a practical alternative to full CPET.

Original Source(s)

Non-invasive prediction of the first ventilatory threshold in Chinese patients with chronic heart failure for personalized exercise prescription

  • by Xiaoling Liu, Jue Yuan, Qingxuan Yang, Yuxuan Fan, Wenjuan Xiu, Yuqin Shen

  • July 6, 2026

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