Intraoperative oliguria modifies the association between cardiac power index and postoperative acute kidney injury: a retrospective cohort study
Year: 2026
Type: article
Study design: Observational Study
Abstract: PURPOSE: Postoperative acute kidney injury (AKI) is common and associated with adverse outcomes. Intraoperative hypotension and oliguria are risk factors, yet management remains mean arterial pressure (MAP)‑centric. Cardiac power index (CPI) may capture pressure-flow conditions, and its association with AKI may depend on intraoperative urine output. METHODS: , and intraoperative urine output (mL/kg/h). Multivariable logistic regression models, adjusted for the AKI risk index and other covariates, were fitted with and without a CPI0.4_AUT × urine‑output interaction, and average marginal effects were calculated. RESULTS: AKI occurred in 59 patients (7.2%). Without the interaction term, CPI0.4_AUT was not statistically significant at the 0.05 level (adjusted odds ratio [aOR] 1.02, 95% confidence interval [CI] 1.00-1.04, P = 0.10). With the interaction, CPI0.4_AUT was significantly associated with AKI (aOR 1.05, 95% CI 1.02-1.08, P = 0.004), and the CPI0.4_AUT × urine‑output term also reached significance (aOR 0.97, 95% CI 0.93-0.99, P = 0.03). Average marginal effects showed that higher CPI0.4_AUT was associated with a higher predicted AKI probability at low urine output (< 0.8 mL/kg/h), but this association was minimal when urine output was ≥ 0.9 mL/kg/h. CONCLUSIONS: Low intraoperative CPI with oliguria was associated with a higher predicted probability of AKI, whereas the CPI‑AKI association weakened with increased urine output. Integrating CPI and urine output may help characterize hemodynamic management beyond MAP‑centric management.
Source: Journal of Anesthesia
Authors: Terumasa Matsuo, Hideaki Mori, Tetsuro Nikai
Institution: Shimane University
Language: English
Topic: Acute Kidney Injury Research
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,090
Funder: Shimane University
OpenAlex ID: W7128623091
