ICU sedation, delirium & recovery

Transitions and determinants of ICU-acquired frailty after critical illness: A multicenter cohort study using a multistate Markov model

Ann Intensive CarePublished Prospective cohort study

Authors' conclusion

Frailty after critical illness is a dynamic and potentially reversible condition, with transitions shaped by sepsis-related complications, nutritional and muscular status, and patient vulnerability factors.

Study context

Population
ICU survivors, followed from ICU discharge to 6 months
Exposure
Transitions across non-frailty, frailty and death after ICU discharge
Outcome
Transition probabilities and intensities across non-frailty, frailty and death
Follow-up
6 months
Methodological detailsmulticenter, multistate Markov model
  • Multicenter
  • Multistate Markov model

Main finding

As reported in the abstract

State transitions at follow-up

Transition intensity ratio

3.12

95% CI 2.22–4.38

Recovery from frailty vs Progression from non-frailty to frailty

Ratio

2.52

95% CI 0.39–16.37

Frailty to death vs Non-frailty to death

Frail

Reversed to non-frail
66.1%
Remained frail
25.7%
Died
8.2%

Non-frail

Remained stable
72.9%
Developed frailty
21.2%
Died
5.9%

Reversed to non-frail

Frail66.1%
Non-frail— not stated in the abstract

Remained frail

Frail25.7%
Non-frail— not stated in the abstract

Died

Frail8.2%
Non-frail5.9%

Remained stable

Frail— not stated in the abstract
Non-frail72.9%

Developed frailty

Frail— not stated in the abstract
Non-frail21.2%

Observational data: associations, not effects.

Further findings

Determinants of state transitions

Sepsis-related complications significantly increased risk of frailty onset and mortality
Higher BMI, muscle mass, handgrip strength and phase angle consistently promoted recovery and survival
Older age, female sex, comorbidities, malnutrition and prolonged ICU or hospital stay impaired recovery

Original publication

Transitions and determinants of ICU-acquired frailty after critical illness: A multicenter cohort study using a multistate Markov model. Ann Intensive Care. Published 30 April 2026. doi:10.1016/j.aicoj.2026.100070

Composed by AI from the published abstract and checked against it. How Briefs are made →

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