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Leading organ-failure phenotype and subsequent new-onset atrial fibrillation in prolonged ICU stays: derivation in MIMIC-IV and external validation in eICU-CRD

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Abstract Background New-onset atrial fibrillation (NOAF) is common during critical illness, but early risk stratification remains imprecise. Organ-dysfunction trajectories have been studied in critical care, yet the association between the first dominant organ-failure phenotype and subsequent NOAF has not been defined. Methods We performed a retrospective derivation-validation cohort study of adult ICU stays lasting at least 72 h. The derivation cohort used MIMIC-IV and the validation cohort used eICU-CRD. A five-system leading-organ phenotype was defined by the first organ-specific SOFA subscore to reach ≥ 3 within the first 72 h (cardiovascular, respiratory, renal, hepatic, coagulation, or no failure). Neurological SOFA was excluded from the primary phenotype because of limited cross-database transportability. The primary outcome was NOAF identified after 72 h of ICU stay. Multivariable logistic regression was used in the derivation cohort, and a reduced transportable model was externally validated in eICU. Results The derivation cohort included 11,735 ICU stays and 367 NOAF events after 72 h (3.1%). The validation cohort included 42,942 stays and 2,216 pragmatic AF events after 72 h (5.2%). In MIMIC-IV, crude event rates were highest in the cardiovascular-leading phenotype (5.5%) and respiratory-leading phenotype (3.3%), compared with no failure (1.4%). In the primary adjusted derivation model, cardiovascular-leading phenotype was associated with higher odds of NOAF versus no failure (OR 1.81, 95% CI 1.01–3.23; p = 0.047), whereas the respiratory-leading phenotype was not independently significant (OR 1.32, 95% CI 0.86–2.03; p = 0.206). In eICU, crude event rates were again highest in cardiovascular-leading (7.5%) and respiratory-leading phenotypes (5.7%), compared with no failure (4.2%). When the reduced transportable derivation model was applied to eICU, discrimination was modest (AUROC 0.68), calibration slope was 0.64, and calibration intercept was 1.75. In the eICU refit model, cardiovascular-leading phenotype remained associated with higher odds of pragmatic AF after 72 h (OR 1.20, 95% CI 1.04–1.40; p = 0.015). Conclusions A clinically transparent five-system leading-organ phenotype identified differential NOAF risk across prolonged ICU stays. Cardiovascular-leading phenotype showed the most consistent signal across derivation and validation cohorts. This approach may complement existing critical-care NOAF risk models by adding a temporally ordered organ-dysfunction framework.
Title: Leading organ-failure phenotype and subsequent new-onset atrial fibrillation in prolonged ICU stays: derivation in MIMIC-IV and external validation in eICU-CRD
Description:
Abstract Background New-onset atrial fibrillation (NOAF) is common during critical illness, but early risk stratification remains imprecise.
Organ-dysfunction trajectories have been studied in critical care, yet the association between the first dominant organ-failure phenotype and subsequent NOAF has not been defined.
Methods We performed a retrospective derivation-validation cohort study of adult ICU stays lasting at least 72 h.
The derivation cohort used MIMIC-IV and the validation cohort used eICU-CRD.
A five-system leading-organ phenotype was defined by the first organ-specific SOFA subscore to reach ≥ 3 within the first 72 h (cardiovascular, respiratory, renal, hepatic, coagulation, or no failure).
Neurological SOFA was excluded from the primary phenotype because of limited cross-database transportability.
The primary outcome was NOAF identified after 72 h of ICU stay.
Multivariable logistic regression was used in the derivation cohort, and a reduced transportable model was externally validated in eICU.
Results The derivation cohort included 11,735 ICU stays and 367 NOAF events after 72 h (3.
1%).
The validation cohort included 42,942 stays and 2,216 pragmatic AF events after 72 h (5.
2%).
In MIMIC-IV, crude event rates were highest in the cardiovascular-leading phenotype (5.
5%) and respiratory-leading phenotype (3.
3%), compared with no failure (1.
4%).
In the primary adjusted derivation model, cardiovascular-leading phenotype was associated with higher odds of NOAF versus no failure (OR 1.
81, 95% CI 1.
01–3.
23; p = 0.
047), whereas the respiratory-leading phenotype was not independently significant (OR 1.
32, 95% CI 0.
86–2.
03; p = 0.
206).
In eICU, crude event rates were again highest in cardiovascular-leading (7.
5%) and respiratory-leading phenotypes (5.
7%), compared with no failure (4.
2%).
When the reduced transportable derivation model was applied to eICU, discrimination was modest (AUROC 0.
68), calibration slope was 0.
64, and calibration intercept was 1.
75.
In the eICU refit model, cardiovascular-leading phenotype remained associated with higher odds of pragmatic AF after 72 h (OR 1.
20, 95% CI 1.
04–1.
40; p = 0.
015).
Conclusions A clinically transparent five-system leading-organ phenotype identified differential NOAF risk across prolonged ICU stays.
Cardiovascular-leading phenotype showed the most consistent signal across derivation and validation cohorts.
This approach may complement existing critical-care NOAF risk models by adding a temporally ordered organ-dysfunction framework.

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