ArticleEuropean journal of medical research2026
Invasive ventilation and mortality in critically ill nonagenarians: a retrospective cohort study.
Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundICU admissions among very old patients are increasing. Invasive ventilation (IV) is common, but its benefit in patients aged ≥ 90 years is uncertain given high mortality and ethical concerns.
methodsThis retrospective cohort study analysed all consecutive ICU patients aged ≥ 90 years admitted between 2008 and 2023 at a tertiary care centre in Germany. Demographic, clinical, and outcome data were extracted from electronic health records. Multivariable logistic regression was used to identify predictors of hospital mortality, while Kaplan-Meier survival analysis and Cox proportional hazards regression were used to assess predictors of 1-year mortality.
resultsOf 113,950 patients, 1422 (1.25%) aged ≥ 90 years were identified (median 92 years, IQR 91-94; 66% female). IV was administered to 434 patients (31%), while 988 (69%) were not invasively ventilated. Median ICU length of stay was 1.7 days (IQR 1-4) overall. Among ventilated patients, the median duration of IV was 13 h (IQR 4-44), and 66% received IV for less than 24 h. IV was associated with higher illness severity at admission (SOFA score 9 [IQR 7-11] vs. 2 [IQR 1-4], p < 0.001), longer ICU stays (2.9 days [IQR 1.1-7.4] vs. 1.5 days [IQR 0.9-3.1], p < 0.001), as well as higher requirement of vasopressors at admission (0.112 µg/kg/min [IQR 0.056-0.278] vs. 0.072 µg/kg/min [IQR 0.038-0.133], p < 0.001) and renal replacement therapy (3.5% [n = 15] vs. 1.7% [n = 17], p = 0.042). In patients requiring IV, ICU and hospital mortality were 35.7% (n = 155) and 49.3% (n = 214) vs. 11.5% (n = 114) and 21.5% (n = 212) in non-IV patients, respectively (both p < 0.001). Independent and significant predictors of hospital mortality included prolonged IV duration (> 72 h: OR 4.01), peak lactate ≥ 4 mmol/l within 72 h (OR 6.67), as well as elevated SOFA scores (4-7: OR 1.96, ≥ 8: OR 3.46), and CCI ≥ 3 (OR 1.74) at admission. One-year mortality risks were 73.2% (95% CI 68.5-77.3%) and 53.4% (95% CI 50.0-56.6%) for IV and no-IV patients (p < 0.001), respectively.
conclusionsIn this selected cohort of ICU patients aged ≥ 90 years, invasive ventilation-particularly beyond 72 h-identified a subgroup with very high ICU and hospital mortality and greater illness severity. These observational data support using invasive ventilation in nonagenarians as a trigger for early, patient-centred goals-of-care discussions, rather than as evidence that ventilation itself causes excess mortality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.