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Malinda Iluppangama

Publications and source records attributed to Malinda Iluppangama.

2 recordsLinked to original sources

Long-Term Mortality Following STN-DBS in Parkinson's Disease: A Survival Analysis

Background: Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established PD treatment that improves motor symptoms and quality of life, but long-term survival and mortality risk remain poorly characterized. This study evaluated long-term survival and mortality-associated factors after STN-DBS. Methods: A retrospective survival analysis of 214 PD patients who underwent STN-DBS used Kaplan-Meier methods to estimate survival probabilities and median survival, with log-rank tests comparing survival by gender and age at implantation. Cox proportional hazards (Cox-PH) models identified mortality-associated factors in both univariate and multivariate analyses, and were validated using accelerated failure time (AFT) models. Results: Mortality rose progressively, with 8.0%, 42.5%, and 56.0% of patients dying within 5, 10, and 15 years, respectively; median survival was approximately 134 months. Survival did not differ by gender (p = 0.63) but was significantly lower for patients aged 60 years or older at implantation (p < 0.0001). At least one post-implantation revision reduced mortality risk (HR = 0.296, p < 0.001), while implantation at age 60 years or older increased it (HR = 4.689, p < 0.001); both remained significant after adjustment and were confirmed by AFT models. Patient satisfaction was high, with 97% of 52 surveyed patients reporting satisfaction and 96% would recommend STN-DBS. Conclusion: STN-DBS is linked to long-term survival and high patient satisfaction in individuals with PD. Older age at implantation increased mortality risk, whereas revision surgery and mortality likely reflect confounding by indication rather than a direct causal effect. These findings support age-stratified patient selection and highlight the importance of continued long-term monitoring following STN-DBS.

stat.AP↗

A Real Data-Driven, Robust Survival Analysis on Patients who Underwent Deep Brain Stimulation for Parkinson's Disease by Utilizing Parametric, Non-Parametric, and Semi-Parametric Approaches

Parkinson's Disease (PD) is a devastating neurodegenerative disorder that affects millions of people around the globe. Many researchers are continuously working to understand PD and develop treatments to improve the condition of PD patients, which affects their day-to-day lives. Since the last decades, the treatment, Deep Brain Stimulation (DBS) has given promising results for motor symptoms by improving the quality of daily living of PD patients. In the methodology of the present study, we have utilized sophisticated statistical approaches such as Nonparametric, Semi-parametric, and robust Parametric survival analysis to extract useful and important information about the long-term survival outcomes of the patients who underwent DBS for PD. Finally, we were able to conclude that the probabilistic behavior of the survival time of female patients is statistically different from that of male patients. Furthermore, we have identified that the probabilistic behavior of the survival times of Female patients is characterized by the 3-parameter Lognormal distribution, while that of Male patients is characterized by the 3-parameter Weibull distribution. More importantly, we have found that the Female patients have higher survival compared to the Male patients after conducting a robust parametric survival analysis. Using the semi-parametric COX-PH, we found that the initial implant of the right side leads to a high frequency of events occurring for the female patients with a bad prognostic factor, while for the male patients, a low events occurs with a good prognostic factor. Furthermore, we have found an interaction term between the number of revisions and the initial size of the implant, which increases the frequency of events occurring for the Male patients with a bad prognostic factor.

stat.AP↗