Evidence map›Paper›PMID 40874443›Full record

Observational studyJournal of the American Geriatrics Society2025

Patterns of Life-Sustaining Treatment Preferences Among Seriously Ill Veterans.

Connie S Cole, Paula R Langner, Susan C Miller, Ann Kutney-Lee, Cari Levy, John Cashy, Mary Beth Foglia, Lucinda Potter, Kate H Magid, Andrew Murray and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Geriatrics Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Connie S ColeVA Eastern Colorado Health Care System, Aurora, Colorado, USA.ORCID 0000-0002-7920-9696
Paula R LangnerVA Eastern Colorado Health Care System, Aurora, Colorado, USA.
Susan C MillerDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
Ann Kutney-LeeCenter for Health Equity Research and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, USA.
Cari LevyVA Eastern Colorado Health Care System, Aurora, Colorado, USA.ORCID 0000-0002-7485-280X
John CashyCenter for Health Equity Research and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, USA.
Mary Beth FogliaDepartment of Veterans Affairs, National Center for Ethics in Health Care, USA.
Lucinda PotterDepartment of Veterans Affairs, National Center for Ethics in Health Care, USA.
Kate H MagidVA Eastern Colorado Health Care System, Aurora, Colorado, USA.
Andrew MurrayCenter for Health Equity Research and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, USA.
Meaghann S WeaverDepartment of Veterans Affairs, National Center for Ethics in Health Care, USA.
Anna E BarónUniversity of Colorado School of Public Health, Department of Biostatistics and Informatics, Aurora, Colorado, USA.
Mary ErsekUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA.

Funding

Multidisciplinary Research Training in Palliative CareT32AG044296 · NIA · UNIVERSITY OF COLORADO DENVER · PI STACY M FISCHER, JEAN S KUTNER · 2014 to 2026
$3.3M
Department of Veterans Affairs, Health Services Research and Development, Quality Enhancement Research Initiative 1 I50 HX003177HSRD VA I50 HX003177NIA NIH HHS 5T32AG044296NIA NIH HHS T32 AG044296
6 · The paper itself

Abstract

backgroundGoals of care conversations and documentation of life-sustaining treatment (LST) preferences through durable, portable medical orders are critical for aligning care with patient values. The stability of patient preferences over time remains uncertain, particularly among community-dwelling adults. The Department of Veterans Affairs Life-Sustaining Treatment Decisions Initiative provides a unique opportunity to examine preference trajectories among seriously ill Veterans using longitudinal real-world data. This analysis aimed to: identify cardiopulmonary resuscitation (CPR) preference trajectories, describe Veterans' characteristics by trajectory, and examine associations between trajectories and demographic/clinical factors.

methodsThis longitudinal observational analysis used VA Corporate Data Warehouse data to identify the population of Veterans with completed LST templates as of October 1, 2019 (N = 161,725). CPR preference (full code or do-not-resuscitate [DNR]) over 39 months was analyzed for stability using sequence analysis, and CPR preference trajectories were identified. Veterans' characteristics were compared across trajectories, and multinomial logistic regression was used to assess associations with trajectory membership.

resultsFour CPR preference trajectories were identified: (1) persistent preference for DNR (39.8%), (2) code status fluctuation with early mortality (8.7%), (3) code status fluctuation with later mortality (7.3%), and (4) persistent preference for full code (44.3%). Older Veterans were more likely to persist in DNR preferences, while younger Veterans were in full code. Veterans having higher baseline comorbidities, chronic conditions such as heart failure, and higher hospitalization rates were at greater risk of having fluctuating preferences. Those with dementia had a greater likelihood of persistent DNR.

conclusionsThis analysis provides critical insights into the complexity of CPR preference trajectories among Veterans, highlighting the need for nuanced, patient-centered approaches to advance care planning. By addressing dynamic clinical factors, leveraging hospitalizations as strategic opportunities, and incorporating culturally sensitive communication, healthcare providers can improve the alignment of treatment preferences with patients' evolving goals and values.

Indexed as

Cardiopulmonary ResuscitationCritical IllnessLife Support CarePatient PreferenceResuscitation OrdersVeteransAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited StatesUnited States Department of Veterans Affairsadvance directivesend‐of‐life carelife‐sustaining treatmentspatient preferencesstate sequence analysis

Identifiers

PMID40874443
PMCPMC12554838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.