The Role of Preoperative Immunonutritional Scores in Predicting Complications after STN DBS in Parkinson’s Disease
WSSFN 2025 Interim Meeting. Abstract 0033
DOI:
https://doi.org/10.47924/neurotarget2025502Resumen
Introduction: Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with systemic inflammation, immune dysregulation, and malnutrition, all of which may influence surgical outcomes. Subthalamic nucleus deep brain stimulation (STN DBS) is a widely used treatment for advanced PD, yet postoperative complications remain a concern. This study evaluates the predictive value of preoperative immunonutritional markers—including the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score, Aggregate Index of Systemic Inflammation (AISI), Lymphocyte-to-Monocyte Ratio (LMR), and Systemic Inflammatory Response Syndrome (SIRS) - for the risk of extracranial complications following STN DBS.
Method: A retrospective cohort study was conducted on 138 PD patients who underwent STN DBS. Clinical and laboratory data were analyzed to assess the association between preoperative immunonutritional markers and postoperative complications, including infections, wound healing disturbances, and surgical revisions. Logistic regression and receiver operating characteristic (ROC) analysis were performed to evaluate the predictive power of these markers.
Results: SIRS emerged as the strongest predictor of complications (aOR = 6.99, 95% CI = 1.844–26.509), emphasizing the critical role of systemic inflammation in surgical outcomes. HALP, AISI, and LMR also demonstrated significant predictive potential, with HALP (AUC = 0.69) and LMR (AUC = 0.73) being the most robust predictors of complications. While albumin alone was not a significant predictor, it correlated with inflammatory markers and comorbidities, underscoring its role in broader risk assessments.
Discussion: SIRS emerged as the strongest predictor of complications (aOR = 6.99, 95% CI = 1.844–26.509), emphasizing the critical role of systemic inflammation in surgical outcomes. HALP, AISI, and LMR also demonstrated significant predictive potential, with HALP (AUC = 0.69) and LMR (AUC = 0.73) being the most robust predictors of complications. While albumin alone was not a significant predictor, it correlated with inflammatory markers and comorbidities, underscoring its role in broader risk assessments.
Conclusions:This study underscores the value of preoperative immunonutritional markers in predicting complications following STN DBS in PD patients. Incorporating these markers into clinical risk stratification may enhance preoperative planning and personalized postoperative care, ultimately improving surgical outcomes. These findings, while promising, warrant validation through prospective, multicenter studies to refine predictive models and enhance patient outcomes.
Métricas
Citas
Raguž M, Tarle M, Marèinkoviæ P, Chudy H, Oreškoviæ D, Marinoviæ T, Vuletiæ V, Chudy D. The role of preoperative immunonutritional scores in predicting complications after subthalamic nucleus deep brain stimulation in Parkinson’s disease. J Clin Med. 2025;14(11):3811. doi:10.3390/jcm14113811. PMID: 40507572; PMCID: PMC12156433.
Pajares M, I Rojo A, Manda G, Boscá L, Cuadrado A. Inflammation in Parkinson's Disease: Mechanisms and Therapeutic Implications. Cells. 2020 Jul 14;9(7):1687. doi: 10.3390/cells9071687.
Tarle M, Raguž M, Lukšiæ I. A Comparative Study of the Aggregate Index of Systemic Inflammation (AISI) and C-Reactive Protein (CRP) in Predicting Odontogenic Abscesses Severity: A Novel Approach to Assessing Immunoinflammatory Response. Diagnostics (Basel). 2024 Sep 28;14(19):2163. doi: 10.3390/diagnostics14192163
Tarle M, Èvrljeviæ I, Raguž M, Lukšiæ I. Hemoglobin-Albumin-Lymphocyte-Platelet (HALP) Score as a Predictive Model for the Success of Reconstruction of Head and Neck Defects with Free Microvascular Flaps. J Clin Med. 2023 Aug 15;12(16):5314. doi: 10.3390/jcm12165314.
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2025 Marina Raguz, Marko Tarle, Petar Marcinkovic, Darko Oreskovic, Vladimira Vuletic, Darko Chudy

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Este artículo se distribuye bajo la licencia Creative Commons Attribution 4.0 License. A menos que se indique lo contrario, el material publicado asociado se distribuye bajo la misma licencia.
