A dynamic, individualized MAP assessment framework incorporating absolute MAP at AKI onset, relative change from patient-specific baseline, and time to recovery might refine risk stratification beyond static thresholds in hospitalized older adults with AKI, though findings are exploratory and require prospective validation.
Key Findings
Results
Low absolute MAP at AKI onset independently predicted major adverse kidney events within 90 days (MAKE-90).
MAPonset ≤65 mmHg was associated with MAKE-90 with HR 1.33 (95% CI 1.05–1.69)
This represents a static threshold component of the three-dimensional hemodynamic assessment framework
The study included 1248 hospitalized patients aged ≥65 years with AKI
Association was determined using Cox regression
Results
A relative decline in MAP of ≥10% from the patient-specific baseline independently predicted MAKE-90.
MAP change rate ≥10% decline from baseline was associated with HR 1.26 (95% CI 1.03–1.54)
This metric represents the individualized, relative component of the framework, distinct from static absolute thresholds
The association was identified via Cox regression analysis
This finding highlights that relative changes from a patient's own baseline carry prognostic significance beyond absolute values
Results
Failure to recover MAP to baseline within 72 hours was associated with substantially higher risk of MAKE-90.
Failure to recover within 72 hours was associated with HR 1.71 (95% CI 1.37–2.15)
This was the temporal component (third dimension) of the three-dimensional hemodynamic assessment framework
This parameter had a numerically higher hazard ratio than either the absolute MAP or the relative change component alone
Recovery time to baseline was assessed as a distinct, dynamic prognostic variable
Results
The integrated hemodynamic phenotype combining severe initial hypotension with delayed recovery identified patients with the poorest prognosis.
The combined phenotype of severe initial hypotension with delayed recovery had HR 1.72 (95% CI 1.36–2.17) for MAKE-90
Distinct hemodynamic phenotypes were defined and assessed for their association with MAKE-90
This integrated phenotype represents the combination of two or more dimensions of the three-dimensional framework
The hazard ratio for this combined phenotype was comparable to that of the recovery failure component alone, suggesting synergistic risk identification
Results
Incorporating dynamic MAP parameters into predictive models significantly improved the prediction of MAKE-90 compared to baseline models.
AUC increased from 0.71 to 0.76 when dynamic MAP parameters were added to the prediction model
Incremental predictive value was evaluated using random forest models
The improvement in AUC represents the added value of the three-dimensional dynamic framework over standard assessment
Internal evaluation showed improved predictive performance for adverse outcomes
Methods
The study proposed and validated a three-dimensional hemodynamic assessment framework for MAP in older AKI patients.
The three dimensions were: (1) absolute MAP value at AKI onset (MAPonset); (2) relative change from patient-specific baseline (MAP change rate); and (3) time of recovery to baseline
The retrospective cohort included 1248 hospitalized patients aged ≥65 years with AKI
The framework was designed to evaluate dynamic, individualized MAP changes beyond static thresholds
The primary outcome was major adverse kidney events within 90 days (MAKE-90)
Authors note the retrospective design and substantial potential for confounding, characterizing findings as exploratory
What This Means
This research suggests that in hospitalized older adults (age 65 and above) who develop acute kidney injury (AKI)—a sudden decline in kidney function—tracking blood pressure in a more nuanced, personalized way may better predict serious kidney outcomes than simply checking whether blood pressure falls below a single fixed number. The study followed 1,248 patients and looked at three aspects of blood pressure (measured as mean arterial pressure, or MAP): how low it was at the time AKI was diagnosed, how much it dropped relative to each individual's own normal level, and whether it recovered back to that personal baseline within 72 hours. All three factors were independently linked to worse kidney outcomes (called MAKE-90, meaning major adverse kidney events within 90 days), and combining them into a single risk profile improved the ability to predict who would do poorly—raising the predictive accuracy score (AUC) from 0.71 to 0.76.
One particularly notable finding is that not recovering to one's own blood pressure baseline within 72 hours carried the highest individual risk (about 71% higher chance of adverse kidney outcomes), and patients with both severe initial low blood pressure and delayed recovery had among the worst outcomes overall. This suggests that the timing of blood pressure recovery—not just whether blood pressure is low at a single moment—may be an important and underappreciated factor in caring for older patients with AKI.
However, the authors themselves emphasize that these findings are exploratory. Because the study looked back at existing records (retrospective design) rather than prospectively following patients, there is significant potential for confounding factors that could explain the results. The framework has only been tested internally within this single dataset and has not been validated in other patient populations or clinical settings. The authors explicitly state that external validation in prospective cohorts is needed before these findings could be considered for clinical application.
Ao Q, Zhang Y, Liu Y, Zhu R, Wu Z, Guo J, et al.. (2026). Individualized Dynamic Assessment of Mean Arterial Pressure in Hospitalized Older Patients with Acute Kidney Injury: A Retrospective Cohort Study.. Clinical interventions in aging. https://doi.org/10.2147/CIA.S615407