Our findings tentatively suggest that the temporal increase in hippocampal volume after treatment, which may result from neurotrophic processes and is thought to be crucial for the antidepressive effect, is also related to the temporary cognitive side effects of ECT.
PurposeProgressive disease in patients with high-grade glioma may be reflected in cognitive decline. However, the cognitive functions most sensitive to progression may differ between patients. We investigated whether decline on a personalized selection of tests predicted progressive disease according to RANO criteria in high-grade glioma patients.MethodsStarting one day before surgery, patients underwent neuropsychological assessment every three months during standard treatment and clinical follow-up. We first made a personalized selection of three tests that showed the highest Reliable Change Index (RCI) values, i.e., most positive change, at the first post-surgical assessment for each patient. In subsequent follow up, a decline of RCI ≤ − 1 on at least two of the three tests in the selection was considered cognitive decline. We performed a discrete Cox proportional hazards model including a time-dependent coefficient cognitive decline (vs. stability) and covariate age to predict progressive disease.ResultsTwenty five patients were included. Cognitive decline on the personalized test selection preceded or had occurred by the time progression was established in 9/15 patients with RANO confirmed progressive disease (60%). Decline was absent in 8/10 patients (80%) with stable disease during participation. The independent hazard ratio for progression in case of cognitive decline was 5.05 (p < 0.01) compared to stable performance.ConclusionsUsing only three patient-specific neuropsychological tests, we found a fivefold increased chance of disease progression in case of cognitive decline as compared to stable performance. Brief, patient-tailored cognitive assessment may be a noninvasive addition to disease monitoring without overburdening patients and clinical care.Electronic supplementary materialThe online version of this article (10.1007/s11060-019-03249-1) contains supplementary material, which is available to authorized users.
BACKGROUND Pre- and postoperative cognitive deficits have repeatedly been demonstrated in patients with glioblastoma (GBM). OBJECTIVE To identify presurgical risk factors that facilitate the identification of GBM patients at risk for postoperative cognitive impairment. METHODS Patients underwent neuropsychological assessment using Central Nervous System Vital Signs 1 d before (T0) and 3 mo after surgery (T3). Patients’ standardized scores on 7 cognitive domains were compared to a normative sample using one-sample z tests. Reliable change indices with correction for practice effects were calculated to assess cognitive changes in individual patients over time. Logistic regression models were performed to assess presurgical sociodemographic, clinical, psychological, and cognitive risk factors for postoperative cognitive impairments. RESULTS At T0, 208 patients were assessed, and 136 patients were retested at T3. Patients showed significantly lower performance both prior to and 3 mo after surgery on all cognitive domains compared to healthy controls. Improvements and declines over time occurred respectively in 11% to 32% and 6% to 26% of the GBM patients over the domains. The regression models showed that low preoperative cognitive performance posits a significant risk factor for postoperative cognitive impairment on all domains, and female sex was a risk factor for postoperative impairments in Visual Memory. CONCLUSION We demonstrated preoperative cognitive risk factors that enable the identification of GBM patients who are at risk for cognitive impairment 3 mo after surgery. This information can help to inform patients and clinicians at an early stage, and emphasizes the importance of recognizing, assessing, and actively dealing with cognitive functioning in the clinical management of GBM patients.
Purpose Cognitive functioning is increasingly investigated for its prognostic value in glioblastoma (GBM) patients, but the association of cognitive status during early adjuvant treatment with survival time is unclear. The aim of this study was to determine whether cognitive performance three months after surgical resection predicted survival time, while using a clinically intuitive time ratio (TR) statistic. Methods Newly diagnosed patients with GBM undergoing resection between November 2010 and February 2018 completed computerized cognitive assessment 3 months after surgery with the CNS Vital Signs battery (8 measures). The association of cognitive performance (continuous Z scores and dichotomous impairment status; impaired vs. unimpaired) with survival time was assessed with multivariate Accelerated Failure Time (AFT) models that also included clinical prognostic factors and covariates related to cognitive performances. Results 114 patients were included in the analyses (median survival time 16.4 months). Of the clinical factors, postoperative Karnofsky Performance Status (TR 1.51), surgical (TR 2.20) and non-surgical (TR 1.94) salvage treatment, and pre-surgical tumor volume (cm 3 , TR 1.003) were significant independent predictors of survival time. Independently of the base model factors and covariates, impairment on Stroop test I and Stroop test III estimated 23% and 26% reduction of survival time (TR 0.77, TR 0.74) respectively, as compared to unimpaired performance. Conclusion These findings suggest that impaired performances on tests of executive control and processing speed in the early phase of adjuvant treatment can reflect a worse prognostic outlook rather than an early treatment effect, and their assessment might allow for early refinement of current prognostic stratification.
Background Recent studies suggest a relationship between the APOE ε4 allele and cognitive outcome in patients treated for malignant brain tumors. Still, longitudinal investigations that include a pretreatment cognitive assessment are lacking and APOE’s effects in patients with benign tumors are understudied. This study investigated presurgical cognitive performance and postsurgical change in ε4‐carrying and non‐carrying patients with glioma and meningioma. Methods Neuropsychological test scores (CNS Vital Signs battery [seven measures], Digit Span Forward/Backward, Letter Fluency test) were obtained as part of a prospective study in which patients with meningioma and glioma underwent cognitive assessment 1 day before (T0, n = 505) and 3 (T3, n = 418) and 12 months after (T12, n = 167) surgery. APOE isoforms were identified retrospectively. ε4 carriers and non‐carriers were compared with regard to pretreatment cognitive performance on the group and individual level. Changes in performances over time were compared with longitudinal mixed model analysis in the total sample and the subgroup receiving adjuvant treatment. Results Carriers and non‐carriers did not differ with regard to pretreatment performance. No significant main effect of ε4 carrier status or interaction between time (T0–T12) and carrier status was found on any of the tests in the whole sample nor in the sample receiving adjuvant treatment. Conclusions This study found no evidence of increased vulnerability for pretreatment cognitive dysfunction or cognitive decline within 1 year after surgery in APOE ε4‐carrying meningioma and glioma patients. Investigations that include larger samples at longer‐term follow‐up are recommended to investigate potential late treatment effects.
Background A tract potentially involved in important executive cognitive processes is the Frontal Aslant Tract (FAT). In particular the right FAT has been associated with executive functioning (EF). In neurosurgery, it remains unclear if patients with tumors near the FAT demonstrate EF impairments after resection. This study investigated whether low grade gliomas (LGG) that affect the core white matter and/or structural integrity of the FAT predict preoperative and 3 months postoperative EF, when controlled for tumor volume and the integrity of other nearby tracts (SLF II and SLF III). Material and Methods Data was analyzed from patients with frontal and parietal LGG who underwent surgery between 2010-2021. Probabilistic tractography was performed prior to surgery to generate preoperative tracts of the FAT, SLF II and SLF III. The core of the FAT was defined as the white matter between the seed and the target region. Average mean diffusivity for each tract was taken as a measure of structural integrity. EF was assessed one day before and 3 months post-surgery with the following tests: Stroop test, symbol digit coding test (SDC), shifting attention test (SAT), and letter fluency test (LF). We performed linear mixed models and linear regression analyses to investigate the relationship between presurgical tumor overlap with the core of the FAT and FAT integrity with pre- and postsurgical executive test performances. Results Seventy-five patients were included (left tumor N=39, right tumor N=36). Mean pre-surgical Z-scores were within 0.5 standard deviation from a healthy control group for all tests, but with substantial variance between patients (Z-score range:-3.59 to 2.4). The results demonstrated that core overlap of the right FAT predicted preoperative performance on the SAT (p<.01, β= -.473), Stroop (p<.01, β= -.519), and SDC (p<.01, β= -.519). Right or left core overlap did not significantly predict performance three months after surgery. FAT integrity did not predict preoperative EF performance, whereas it did predict SAT performance at three months post-surgical (p<.01, β= -.694) when controlled for SLF II, III integrity and tumor volume. Conclusion Although patients with frontal or parietal LGG showed no dysfunction on tests of EF before surgery on group level, they demonstrated large variability between patients. Tumor overlap with the core of the right FAT predicted worse presurgical EF performances, but not short-term post-surgical performances. Right FAT integrity predicted short-term post-surgical performance on cognitive flexibility. These results are in line with previous findings that the right FAT is involved in EF and indicate that preoperative FAT integrity might predict which patients will perform worse after surgery.
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