Is SSRI use a risk factor for intracranial hemorrhage after craniotomy for tumor resection?

Introduction: Prior studies have identified SSRI use as a risk factor for certain adverse bleeding outcomes. However, the risk of significant bleeding from perioperative SSRI use after brain tumor resection remains largely undetermined. This study evaluates if patients taking SSRIs perioperatively have a higher risk of intracranial hemorrhage (ICH) following elective craniotomy for tumor resection. Methods: Researchers reviewed electronic medical records of patients age 18 and older, who received elective craniotomy for tumor resection between 2010 and 2019. Data collection included subject demographics and relevant medical history. We compared intracranial hemorrhage rates and risks between perioperative SSRI-use cohorts. Results: Of 1,061 patients, 796 (75%) did not use SSRIs perioperatively while 265 (25%) used SSRIs perioperatively. Among those using perioperative SSRIs, 8 patients (3.0%) experienced an ICH within 1 week and 11 patients (4.2%) had an ICH within 1 month. Similarly, for those who stopped SSRI use perioperatively, we found 31 patients (3.9%) experienced an ICH within 1 week and 40 patients (5.0%) had an ICH within 1 month. Using logistic regression analysis, the relative risk for perioperative SSRI-use and ICH was statistically non-significant at 0.692 (95% CI: 0.260 - 1.839, p = 0.460). Conclusions: Based on our results, perioperative SSRI use does not appear to result in an increased risk of bleeding within 1 week or month of craniotomy for tumor resection. These results remained consistent when controlled for several additional bleeding comorbidities and demographics between cohorts.

Infraclavicular de novo placement of a responsive neurostimulator for a patient with eloquent glioma-associated epilepsy: illustrative case.

BACKGROUND: The authors present a 50-year-old female with high-grade glioma involving the motor cortex as the cause of her drug-resistant epilepsy (DRE). Responsive neurostimulation (RNS) was chosen for epilepsy treatment. Due to concerns regarding the generator impeding the regular imaging surveillance required for treatment and monitoring of her glioma, surgeons placed the internal pulse generator (IPG) within an infraclavicular chest pocket. OBSERVATIONS: Implantation of the RNS device and IPG within the infraclavicular pocket was uneventful. However, both subdural and depth electrodes were used and connected to the IPG, and subdural electrodes are considerably shorter than depth electrodes (37 vs 44 cm). The shorter strip leads presumably generated significant tension, leading to fracture of the leads. Therefore, surgery was repeated using only depth electrodes for more length and less tension. The device has good-quality electrocorticography signals that continue to be used for device programming. The seizure burden was reduced, and quality of life improved for the patient. LESSONS: The RNS system with infraclavicular IPG placement reduced the seizure burden and improved the quality of life of a patient with glioma-associated epilepsy. Surgeons may consider the infraclavicular location as an alternative site for implantation for RNS candidates who require recurrent intracranial magnetic resonance imaging.

Effect of Cognitive Reserve on Physiological Measures of Cognitive Workload in Older Adults with Cognitive Impairments.

BACKGROUND: Cognitive reserve may protect against cognitive decline. OBJECTIVE: This cross-sectional study investigated the association between cognitive reserve and physiological measures of cognitive workload in older adults with cognitive impairment. METHODS: 29 older adults with cognitive impairment (age: 75±6, 11 (38%) women, MoCA: 20±7) and 19 with normal cognition (age: 74±6; 11 (58%) women; MoCA: 28±2) completed a working memory test of increasing task demand (0-, 1-, 2-back). Cognitive workload was indexed using amplitude and latency of the P3 event-related potential (ERP) at electrode sites Fz, Cz, and Pz, and changes in pupillary size, converted to an index of cognitive activity (ICA). The Cognitive Reserve Index questionnaire (CRIq) evaluated Education, Work Activity, and Leisure Time as a proxy of cognitive reserve. Linear mixed models evaluated the main effects of cognitive status, CRIq, and the interaction effect of CRIq by cognitive status on ERP and ICA. RESULTS: The interaction effect of CRIq total score by cognitive status on P3 ERP and ICA was not significant. However, higher CRIq total scores were associated with lower ICA (p = 0.03). The interaction effects of CRIq subscores showed that Work Activity affected P3 amplitude (p = 0.03) and ICA (p = 0.03) differently between older adults with and without cognitive impairments. Similarly, Education affected ICA (p = 0.02) differently between the two groups. No associations were observed between CRIq and P3 latency. CONCLUSION: Specific components of cognitive reserve affect cognitive workload and neural efficiency differently in older adults with and without cognitive impairments.