Jiang X, Xiang J, Yang M, Liu W, Lin G, Chen F, Wang W, Duan G, Jing S, Bao X. Predictive Role of Preoperative Nutritional Status on Early Postoperative Outcomes in Different-Aged Patients Undergoing Heart Valve Surgery.
J Cardiothorac Vasc Anesth 2024;
38:1169-1180. [PMID:
38423886 DOI:
10.1053/j.jvca.2024.01.037]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 01/07/2024] [Accepted: 01/31/2024] [Indexed: 03/02/2024]
Abstract
OBJECTIVES
The authors sought to elucidate the role and predictive effects of preoperative nutritional status on postoperative outcomes across different age groups undergoing heart valve surgery.
DESIGN
A retrospective study with intergroup comparison, receiver operating characteristic curve analysis, and logistic regression analysis.
SETTING
A hospital affiliated with a medical university.
PARTICIPANTS
Three thousand nine hundred five patients undergoing heart valve surgery between October 2016 and December 2020.
INTERVENTIONS
None.
MEASUREMENTS AND MAIN RESULTS
Patients were categorized into 3 age subgroups: young (aged 18-44 years), middle-aged (aged 45-59 years), and older (aged ≥60 years) adults. The Nutritional Risk Index (NRI), Prognostic Nutritional Index, and Controlling Nutritional Status scores were evaluated. Young adults with an NRI <99 experienced a significantly higher rate of prolonged intensive care unit stay (28.3% v 4.1%, p < 0.001), with a relative risk of 4.58 (95% CI: 2.04-10.27). Similarly, young adults with an NRI <97 had a significantly increased occurrence of mortality within 30 days after surgery (6.3% v 0.2%, p < 0.001), with a relative risk of 41.11 (95% CI: 3.19-529.48).
CONCLUSIONS
In patients who undergo heart valve surgery, early postoperative outcomes can be influenced by nutritional status before the surgery. In the young-adult group, NRI <99 and NRI <97 effectively could predict prolonged intensive care unit stay and 30-day mortality, respectively.
Collapse