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. 2023 Dec 6;6:e51844. doi: 10.2196/51844

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© Ethan E Abbott, Wonsuk Oh, Yang Dai, Cole Feuer, Lili Chan, Brendan G Carr, Girish N Nadkarni. Originally published in JMIR Aging (https://aging.jmir.org), 6.12.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included.

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Figure 4. — Forest plot of Cox proportional hazards models for each subphenotype for outcome of mortality at 1 year using a linear predictor as an offset. Models are adjusted for 21 total features, including beneficiary demographics (age, sex, race), beneficiary-level cardiac procedures (implantable cardioverter defibrillator, cardiac catheterization), hospital academic status, hospital number of beds, hospital travel distance, complete area-level social determinant of health factors, and National Center for Health Statistics urban/rural status (Table S2 in Multimedia Appendix 4). Each subphenotype model is compared to reference (ie, all other subphenotypes). HR: hazard ratio.