by Oded Mousai,
Lola Tafoureau, Tamar Yovell, Hans Flaatten, Bertrand Guidet, Michael Beil,
Dylan de Lange, Susannah Leaver, Wojciech Szczeklik, Jesper Fjolner, Akiva
Nachshon, Peter Vernon van Heerden, Leo Joskowicz, Christian Jung, Gal Hyams
and Sigal Sviri
Annals of
Intensive Care volume 13,
Article number: 40 (2023)
Background
Limiting life-sustaining treatment (LST) in the intensive
care unit (ICU) by withholding or withdrawing interventional therapies is
considered appropriate if there is no expectation of beneficial outcome.
Prognostication for very old patients is challenging due to the substantial
biological and functional heterogeneity in that group. We have previously
identified seven phenotypes in that cohort with distinct patterns of acute and
geriatric characteristics. This study investigates the relationship between these
phenotypes and decisions to limit LST in the ICU.
Methods
This study is a post hoc analysis of the prospective
observational VIP2 study in patients aged 80 years or older admitted to
ICUs in 22 countries. The VIP2 study documented demographic, acute and
geriatric characteristics as well as organ support and decisions to limit LST
in the ICU. Phenotypes were identified by clustering analysis of admission
characteristics. Patients who were assigned to one of seven phenotypes (n = 1268)
were analysed with regard to limitations of LST.
Results
The incidence of decisions to withhold or withdraw LST was
26.5% and 8.1%, respectively. The two phenotypes describing patients with
prominent geriatric features and a phenotype representing the oldest old
patients with low severity of the critical condition had the largest odds for
withholding decisions. The discriminatory performance of logistic regression
models in predicting limitations of LST after admission to the ICU was the best
after combining phenotype, ventilatory support and country as independent
variables.
Conclusions
Clinical phenotypes on ICU admission predict limitations of
LST in the context of cultural norms (country). These findings can guide
further research into biases and preferences involved in the decision-making
about LST.
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