Evaluating the incidence and predictors of anti-NMDAR encephalitis in a contemporary cohort of patients diagnosed with dermoid tumors: A national inpatient sample analysis. (August 2022)

• Record Type: Journal Article
• Authors: Shahrestani, Shane; Brown, Nolan J.; Singh, Rohin; Kurtz, Joshua S.; Patel, Neal A.; Himstead, Alexander S.; Nasrollahi, Tasha; Borrelli, Michela; Pierzchajlo, Noah; Ransom, Seth C.; Gendreau, Julian
• Is Part Of: Journal of clinical neuroscience. Volume 102(2022)
• Page Start: 109
• Page End: 113
• Publication Date: 2022-08
• Subjects: Anti-NMDAR -- Encephalitis -- Dermoid -- Teratoma; Brain -- Surgery -- Periodicals; Neurosciences -- Periodicals; Nervous system -- Surgery -- Periodicals; Brain -- surgery -- Periodicals; Neurosurgical Procedures -- Periodicals; Neurosciences -- Periodicals; Electronic journals; 616.8
• DOI: 10.1016/j.jocn.2022.06.018
• Languages: English
• ISSNs: 0967-5868

Abstract

Highlights: Large analysis of anti-NMDAR encephalitis associated with dermoid tumors. Patient predictors of developing anti-NMDAR encephalitis include age and race. Anti-NMDAR encephalitis patients have a significantly increased hospital length of stay. Abstract: Introduction: Anti- N -methyl-d-aspartate receptor (anti-NMDAR) encephalitis is a form of encephalitis previously associated with dermoid tumors. However, most studies in the literature evaluating the disease are case reports and small patient cohorts, limiting robust statistical analysis. Here, we demonstrate predictors of anti-NMDAR encephalitis in a large cohort of US patients. Methods: We used the 2016 National Inpatient Sample (NIS) to identify a cohort of 24, 270 admitted for an ovarian dermoid tumor. Of these patients, 50 (0.21%) were diagnosed with anti-NMDAR encephalitis. Patient demographics, hospital characteristics, length of stay (LOS), and complications were collected. Statistical analysis consisted of odds ratios with chi-square testing to compare categorical variables. Results: The mean age of all patients with dermoid tumors was 45.5 ± 18.0 years, and the mean age of patients with diagnosed anti-NMDAR encephalitis was 27.4 ± 4.9 years. The mean LOS in the dermoid tumor cohort was 3.5 ± 4.9 days, while the mean LOS in the anti-NMDAR encephalitis cohort was 31.9 ± 25.9 days (p < 0.001). The mean cost in the dermoid tumor cohort was $44, 813.18±$54, 305.90, while the mean cost in the anti-NMDAR encephalitis cohort was $445, 628.60±$665, 423.40 (p < 0.001). Patients with age above 30 years with dermoid tumors had significantly lower odds of developing anti-NMDAR encephalitis compared to patients younger than 30 years (OR: 0.19; 95%CI: 0.045–0.67; p-value: 0.003). White patients had significantly lower odds of developing anti-NMDAR encephalitis (OR: 0.19; 95%CI: 0.026–0.77; p-value: 0.013), and Black patients had significantly higher odds of developing anti-NMDAR encephalitis (OR: 3.45; 95%CI: 1.00–12.46; p-value: 0.044). Conclusion: Patient predictors of developing anti-NMDAR encephalitis include age, race, ethnicity and patients who go on to develop anti-NMDAR encephalitis have a significantly increased hospital LOS and cost compared to those who do not. Future research, including multi-center clinical trials and longitudinal data, is necessary to fully cement the findings of this manuscript.