TY - JOUR
T1 - App-based lifestyle modification after percutaneous coronary intervention
T2 - A multicenter randomized controlled trial
AU - the research collaborators
AU - Yamada, Sumio
AU - Ashikawa, Hironobu
AU - Funaki, Kuya
AU - Kondo, Ryo
AU - Moriyama, Daisuke
AU - Adachi, Takuji
AU - Sugishita, Akitaka
AU - Kinoshita, Fumie
AU - Nakatochi, Masahiro
AU - Amano, Manabu
AU - Amano, Tetsuya
AU - Harada, Yasutaka
AU - Kondo, Kenji
AU - Harada, Kazuhiro
AU - Harada, Ken
AU - Tsunekawa, Yuki
AU - Kato, Toshiaki
AU - Tanimura, Daisuke
AU - Tsurumoto, Kazutoshi
AU - Kamisaka, Kenta
AU - Nakane, Eisaku
AU - Inoko, Moriaki
AU - Hori, Masaya
AU - Kuze, Yoji
AU - Nakagawa, Masayasu
AU - Matsuo, Hitoshi
AU - Kito, Hisako
AU - Kameshima, Masataka
AU - Suzuki, Yoriyasu
AU - Ito, Tatsuya
AU - Matsui, Yuki
AU - Iritani, Naoki
AU - Nakagawa, Kaori
AU - Terashima, Mitsuyasu
AU - Urano, Shota
AU - Wakita, Takahiro
AU - Izuchi, Tomotsugu
AU - Funakubo, Hiroshi
AU - Miyake, Hiroshi
AU - Kobayashi, Koichi
AU - Iwase, Mitsunori
AU - Onishi, Junko
AU - Nagata, Hideki
AU - Hattori, Tomoki
AU - Oishi, Hideo
AU - Hirayama, Kenshi
AU - Ando, Monami
AU - Yoshida, Roka
AU - Yanase, Masanobu
AU - Izawa, Hideo
N1 - Publisher Copyright:
© The Author(s) under exclusive licence to Japanese Association of Cardiovascular Intervention and Therapeutics 2026.
PY - 2026
Y1 - 2026
N2 - Long-term outcomes after percutaneous coronary intervention (PCI) remain suboptimal, mainly due to progression of non-target lesion stenosis. Lifestyle modification can attenuate these outcomes, and digital health interventions may provide an alternative to standard care. We conducted a multicenter, open-label, randomized controlled trial in post-PCI patients (n = 152). Subjects were assigned to a 14-week app-based lifestyle modification program using IoT devices or to usual care. The primary endpoint was the proportion achieving ≥ 10% improvement in peak oxygen uptake (VO2). Secondary endpoints included achievement of guideline targets for four major coronary risk factors (CRFs) (blood pressure, lipid profile, HbA1c, body weight), moderate-to-vigorous physical activity, quality of life, and adherence. A modified intention-to-treat analysis was applied. Of 152 patients (75 for intervention and 77 for control, mean age 60.3 years, 90.1% male), 137 completed follow-up. Both groups showed similar proportions achieving ≥ 10% improvement in peak VO2 (41% vs. 39%, p = 0.786). Lipid control was better in the intervention group (56.0% vs. 39.5%, p = 0.042), while other risk factors showed no significant differences. Contrary to these, a complete-case analysis using different metrics indicated potential superiority of CRF management in the intervention group. Based on the above findings, although the comparative effectiveness of the app could not be clearly determined, the observed trends suggest substantial potential for future clinical use. This potential is expected to become clearer with improved app quality and more rigorous outcome measures.
AB - Long-term outcomes after percutaneous coronary intervention (PCI) remain suboptimal, mainly due to progression of non-target lesion stenosis. Lifestyle modification can attenuate these outcomes, and digital health interventions may provide an alternative to standard care. We conducted a multicenter, open-label, randomized controlled trial in post-PCI patients (n = 152). Subjects were assigned to a 14-week app-based lifestyle modification program using IoT devices or to usual care. The primary endpoint was the proportion achieving ≥ 10% improvement in peak oxygen uptake (VO2). Secondary endpoints included achievement of guideline targets for four major coronary risk factors (CRFs) (blood pressure, lipid profile, HbA1c, body weight), moderate-to-vigorous physical activity, quality of life, and adherence. A modified intention-to-treat analysis was applied. Of 152 patients (75 for intervention and 77 for control, mean age 60.3 years, 90.1% male), 137 completed follow-up. Both groups showed similar proportions achieving ≥ 10% improvement in peak VO2 (41% vs. 39%, p = 0.786). Lipid control was better in the intervention group (56.0% vs. 39.5%, p = 0.042), while other risk factors showed no significant differences. Contrary to these, a complete-case analysis using different metrics indicated potential superiority of CRF management in the intervention group. Based on the above findings, although the comparative effectiveness of the app could not be clearly determined, the observed trends suggest substantial potential for future clinical use. This potential is expected to become clearer with improved app quality and more rigorous outcome measures.
KW - Coronary risk factors
KW - Digital health
KW - Lifestyle modification
KW - Post-PCI
KW - Secondary prevention
UR - https://www.scopus.com/pages/publications/105047381716
UR - https://www.scopus.com/pages/publications/105047381716#tab=citedBy
U2 - 10.1007/s12928-026-01328-5
DO - 10.1007/s12928-026-01328-5
M3 - Article
C2 - 42533220
AN - SCOPUS:105047381716
SN - 1868-4300
JO - Cardiovascular Intervention and Therapeutics
JF - Cardiovascular Intervention and Therapeutics
ER -