• World Neurosurg · Sep 2024

    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.

    • Ji-Yoon Kim, Young-Seok Lee, Myeong Jin Ko, and Seung Won Park.
    • Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
    • World Neurosurg. 2024 Sep 1; 189: e80e85e80-e85.

    ObjectiveElderly 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.MethodsPreoperative risk factors were assessed using 11 variables, including mFI, PNI, and 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.ResultsComplications 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.ConclusionsMFI, 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 health care 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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