Lean body weight-indexed O <sub>2</sub> delivery during cardiopulmonary bypass and acute kidney injury

IntroductionMonitoring indexed oxygen delivery (DO<sub>2</sub>i) is recommended during cardiopulmonary bypass (CPB) and a predictor of acute kidney injury (AKI). The use of lean body mass-adjusted blood flow rates in obese patients during CPB may provide a valid representation of metabolic demand, however, the risk of AKI with this approach has not been reported. This study aimed to investigate the influence of lean body mass-adjusted DO<sub>2</sub>i values in the risk of AKI following CPB.MethodsUtilizing the Australian and New Zealand Collaborative Perfusion Registry dataset, 12,811 cardiac patients were divided into 2 groups; non-obese (BMI <30) and obese (BMI >30). Obese patients' lean mass was derived from their recalculation to a BMI of 25 and used for the calculation of DO<sub>2</sub>i. Postoperative AKI was classified using the RIFLE criteria.ResultsIncidence of AKI was higher in the obese compared to non-obese group (15% vs 11%, <i>p</i> < 0.001). Decreasing minimum lean body weight adjusted DO<sub>2</sub>i was significantly associated with an increased risk of AKI (OR, 0.998; [0.997-0.999], <i>p</i> < 0.001) with an optimal threshold value of 292 ml/min/m<sup>2</sup>.ConclusionsLean body weight-adjusted O<sub>2</sub> delivery remains an independent risk factor for AKI. The critical minimum DO<sub>2</sub>i threshold of 292 mL/min/m<sup>2</sup> is within the range of previously reported values, inferring that lean-based blood flow monitoring may offer a reasonable approach to CPB practice.

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Journal
Perfusion
Published
2026-02-26
DOI
https://doi.org/10.1177/02676591261430630
Primary Topic
Acute Kidney Injury Research
Type
article
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article

Lean body weight-indexed O 2 delivery during cardiopulmonary bypass and acute kidney injury

Howard H. Carter, Richard F. Newland, William Dauch, M.A. Dooley et al.
Perfusion
Acute Kidney Injury Research
article

Lean body weight-indexed O 2 delivery during cardiopulmonary bypass and acute kidney injury

Howard H. Carter, Richard F. Newland, William Dauch, M.A. Dooley, Laura Dell’Aiera
article en

Abstract

IntroductionMonitoring indexed oxygen delivery (DO<sub>2</sub>i) is recommended during cardiopulmonary bypass (CPB) and a predictor of acute kidney injury (AKI). The use of lean body mass-adjusted blood flow rates in obese patients during CPB may provide a valid representation of metabolic demand, however, the risk of AKI with this approach has not been reported. This study aimed to investigate the influence of lean body mass-adjusted DO<sub>2</sub>i values in the risk of AKI following CPB.MethodsUtilizing the Australian and New Zealand Collaborative Perfusion Registry dataset, 12,811 cardiac patients were divided into 2 groups; non-obese (BMI <30) and obese (BMI >30). Obese patients' lean mass was derived from their recalculation to a BMI of 25 and used for the calculation of DO<sub>2</sub>i. Postoperative AKI was classified using the RIFLE criteria.ResultsIncidence of AKI was higher in the obese compared to non-obese group (15% vs 11%, <i>p</i> < 0.001). Decreasing minimum lean body weight adjusted DO<sub>2</sub>i was significantly associated with an increased risk of AKI (OR, 0.998; [0.997-0.999], <i>p</i> < 0.001) with an optimal threshold value of 292 ml/min/m<sup>2</sup>.ConclusionsLean body weight-adjusted O<sub>2</sub> delivery remains an independent risk factor for AKI. The critical minimum DO<sub>2</sub>i threshold of 292 mL/min/m<sup>2</sup> is within the range of previously reported values, inferring that lean-based blood flow monitoring may offer a reasonable approach to CPB practice.

Perfusion
Medical University of South Carolina (US), Flinders University (AU), Sir Charles Gairdner Hospital (AU), Flinders Medical Centre (AU)
Good health and well-being
Openalex Percentile: Top 49%
Acute Kidney Injury Research
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Lean body weight-indexed O <sub>2</sub> delivery during cardiopulmonary bypass and acute kidney injury — Howard H. Carter, Richard F. Newland, et al. · Perfusion (2026) | TGRS Research Map | TGRS