Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis

医学 优势比 内科学 急性肾损伤 肾脏疾病 共病 围手术期 回顾性队列研究 肥胖 糖尿病 冠状动脉疾病 置信区间 代谢综合征 外科 内分泌学
作者
Aleda Leis,Michael R. Mathis,Sachin Kheterpal,Matthew Zawistowski,Bhramar Mukherjee,Nathan L. Pace,Vikas N O’Reilly-Shah,Jennifer A. Smith,Carrie Karvonen‐Gutierrez
出处
期刊:BJA: British Journal of Anaesthesia [Elsevier]
卷期号:131 (1): 37-46
标识
DOI:10.1016/j.bja.2023.04.001
摘要

Background Acute kidney injury (AKI) is a frequent yet understudied postoperative total joint arthroplasty complication. This study aimed to describe cardiometabolic disease co-occurrence using latent class analysis, and associated postoperative AKI risk. Methods This retrospective analysis examined patients ≥18 years old undergoing primary total knee or hip arthroplasties within the US Multicenter Perioperative Outcomes Group of hospitals from 2008 to 2019. AKI was defined using modified Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Latent classes were constructed from eight cardiometabolic diseases including hypertension, diabetes, and coronary artery disease, excluding obesity. A mixed-effects logistic regression model was constructed for the outcome of any AKI and the exposure of interaction between latent class and obesity status adjusting for preoperative and intraoperative covariates. Results Of 81 639 cases, 4007 (4.9%) developed AKI. Patients with AKI were more commonly older and non-Hispanic Black, with more significant comorbidity. A latent class model selected three groups of cardiometabolic patterning, labelled ‘hypertension only’ (n=37 223), ‘metabolic syndrome (MetS)’ (n=36 503), and ‘MetS+cardiovascular disease (CVD)’ (n=7913). After adjustment, latent class/obesity interaction groups had differential risk of AKI compared with those in ‘hypertension only’/non-obese. Those ‘hypertension only’/obese had 1.7-fold increased odds of AKI (95% confidence interval [CI]: 1.5–2.0). Compared with ‘hypertension only’/non-obese, those ‘MetS+CVD’/obese had the highest odds of AKI (odds ratio 3.1, 95% CI: 2.6–3.7), whereas ‘MetS+CVD’/non-obese had 2.2 times the odds of AKI (95% CI: 1.8–2.7; model area under the curve 0.76). Conclusions The risk of postoperative AKI varies widely between patients. The current study suggests that the co-occurrence of metabolic conditions (diabetes mellitus, hypertension), with or without obesity, is a more important risk factor for acute kidney injury than individual comorbid diseases.
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