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Predictive Value of Modified Frailty Index, Sarcopenia, Prognostic Nutritional Index, and Geriatric Nutritional Risk Index for Postoperative Complications in Oblique Lumbar Interbody Fusion over 60 Years.

Authors
Kim, Ji-YoonLee, Young-SeokKo, Myeong JinPark, Seung Won
Issue Date
Jun-2024
Keywords
Geriatric Nutritional Risk Index; Prognostic Nutritional Index; modified Frailty Index; oblique lumbar interbody fusion; sarcopenia
Citation
World neurosurgery
Journal Title
World neurosurgery
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/74377
DOI
10.1016/j.wneu.2024.05.167
ISSN
1878-8750
1878-8769
Abstract
OBJECTIVE: Elderly patients undergoing spinal surgery are at an increased risk of morbidity and mortality. Evaluating frailty and preoperative status is crucial for predicting postoperative outcomes. This study aimed to assess the predictive value of the modified Frailty Index (mFI), sarcopenia, Prognostic Nutritional Index (PNI) and Geriatric Nutritional Risk Index (GNRI) in determining postoperative complications in patients undergoing oblique lumbar interbody fusion (OLIF) over 60 years. METHODS: Preoperative risk factors were assessed using 11 variables, including mFI, PNI, GNRI. Complication rates were compared among nonfrail (mFI = 0; n = 50), prefrail (mFI = 0.09-0.18; n = 144), and frail (mFI ≥0.27; n = 80) patients. Demographic and perioperative variables were compared between the complication and noncomplication groups. The incidence of complications was the primary outcome measure. RESULTS: Complications occurred in 36 of 274 patients (13.1%). The frail group exhibited a significantly higher incidence of pneumonia than the nonfrail and prefrail groups. The complication group displayed significant differences in several variables, including age, fusion level, albumin level, lymphocyte count, platelet count, creatinine level, and estimated blood loss. Moreover, mFI, PNI, and GNRI differed significantly between the complication and noncomplication groups. CONCLUSIONS: MFI, PNI, and GNRI can be useful for predicting postoperative morbidity and mortality in patients undergoing OLIF. These comprehensive assessment methods enable the identification of high-risk patients and the formulation of tailored strategies to enhance postoperative outcomes. Integrating mFI, PNI, and GNRI into the preoperative evaluation process can help healthcare providers proactively manage high-risk patients, thus improving the overall quality of care for elderly individuals undergoing OLIF. Copyright © 2024. Published by Elsevier Inc.
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의과대학 (의학부(임상-광명))
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