The long-term conditional mortality rate in older ICU patients compared to the general population
Anna Aronsson Dannewitz1, Bodil Svennblad2, Karl Michaëlsson2
1Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. anna.aronsson@uu.se.
Insights
Older intensive care unit (ICU) patients surviving the first year have mortality rates similar to the general population, especially when baseline comorbidity is considered. However, specific diagnoses like acute-on-chronic respiratory failure are linked to higher long-term risks.
Area of Science:
- Critical Care Medicine
- Geriatric Medicine
- Epidemiology
Background:
- Assessing long-term survival in older intensive care unit (ICU) patients requires understanding the interplay between pre-existing conditions and critical illness.
- Comorbidities significantly influence the prognosis of elderly individuals admitted to the ICU.
Purpose of the Study:
- To evaluate the long-term mortality risk in older patients (≥55 years) following their first ICU admission.
- To compare the survival probability of these patients to age- and sex-matched individuals in the general population.
Main Methods:
- A cohort of 140,008 patients aged ≥55 years from the Swedish Intensive Care Registry was analyzed.
- Mortality was compared to the general population with a 1-year landmark, adjusted for age, sex, and baseline comorbidity using Cox regression.
Main Results:
- Patients surviving the first year post-ICU admission showed an attenuated increased mortality risk (HR, 1.03) after comorbidity adjustment.
- The subgroup aged ≥75 years had a mortality rate comparable to the general population (HR, 0.98) after the first year.
- Acute-on-chronic respiratory failure admission was associated with a sustained increased mortality risk (adjusted HR, 1.47) beyond the first year.
Conclusions:
- Older ICU survivors generally return to a mortality rate similar to the general population, particularly when baseline comorbidities are accounted for.
- The ICU admission diagnosis is a critical factor influencing long-term mortality, with certain conditions posing higher risks.
- Findings highlight the importance of considering specific diagnoses when assessing long-term outcomes for elderly ICU patients.
Background:
Understanding how preexisting comorbidities may interact with a critical illness is important for the assessment of long-term survival probability of older patients admitted to the ICU.
Material And Methods:
The mortality after a first ICU admission in patients ≥ 55 years old registered in the Swedish Intensive Care Registry was compared to age- and sex-matched individuals from the general population with a landmark after 1 year. The comparison was adjusted for age, sex, and baseline comorbidity using Cox regression.
Results:
The 7-year study period included 140 008 patients, of whom 23% were 80 years or older. Patients surviving the first year remained at an increased risk compared to the general population, but much of this difference was attenuated after adjustment for baseline comorbidity (HR, 1.03; 95% CI 1.02-1.04). Excluding cardio-thoracic ICU admissions, the increased risk remained slightly elevated (adjusted HR, 1.15; 95% CI 1.13-1.16). Also, the subgroup ≥ 75 years old surviving the first year returned to a mortality rate comparable to the general population (HR, 0.98; 95% CI 0.96-0.99). Stratified by admission diagnosis an increased mortality rate remained beyond the first year for acute-on-chronic respiratory failure (adjusted HR, 1.47; 95% CI 1.36-1.58) but not for other respiratory causes (adjusted HR, 1.03; 95% CI 0.99-1.07) or admission for septic shock (adjusted HR, 1.04; 95% CI 0.95-1.13). No substantial increased mortality rate was notable beyond the first year for other admission diagnoses.
Conclusion:
Older ICU patients that survive the first year after an ICU admission return to a mortality rate close to that of the general population having similar baseline comorbidity, but variability is seen depending on the ICU admission diagnosis. Trial registration ClinicalTrials.gov ID: NCT06234709, date 02/01/2024.
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