Abstract
BACKGROUND
Preoperative seizure is reported to confer favorable prognosis in glioblastoma patients, but studies to date have not investigated how broadly applicable seizure is as a prognostic factor.
OBJECTIVE
To investigate if prompter surgical intervention affects the relationship between preoperative seizure and prognosis in glioblastoma patients, focusing on the development of tumor growth and/or additional preoperative symptoms after seizure.
METHODS
Retrospective analysis of 443 patients (mean age = 60.2; 60% male) undergoing first glioblastoma resection at our institution (2005-2011).
RESULTS
Preoperative seizure(s) occurred in 28% of patients (n = 124), of which 63 (51%) had only seizure at presentation. Patients experiencing seizure as their only preoperative symptom (“seizure-only”; n = 45) survived over twice as long as patients who presented with seizure and then later developed additional preoperative symptoms (n = 18; “other symptoms postseizure”; 26.8 vs 10.2 months, P < .001) and patients without preoperative seizure (“no seizure”; 26.8 vs 13.1 months, P < .001). Multivariate stepwise analysis revealed preoperative seizures only (hazard ratio 0.54 [0.37-0.75]; P < .001) to be independently associated with increased survival. Longer wait time from presentation (ie, diagnostic magnetic resonance imaging) to surgery was a risk factor for developing additional symptoms. Eleven “other symptoms postseizure” patients (69%) vs 6 of the “seizure-only” patients (15%) had wait times >45 days (P < .001).
CONCLUSION
Seizure as the only preoperative symptom independently improved survival, however, when patients developed additional preoperative symptoms, typically due to surgical delay, no prognostic benefit was observed. Prompt diagnosis and neurosurgical intervention is warranted in patients with seizures without other preoperative symptoms to preserve their favorable prognosis.
Keywords: Elderly, Glioblastoma, Oncology, Prognostic factors, Seizure
ABBREVIATIONS
- CCI
Charlson Co-morbidity Index
- CI
confidence interval
- HR
hazard ratio
- IDH1
isocitrate dehydrogenase 1
- MRI
magnetic resonance imaging
Glioblastoma is the most common primary malignant brain tumor with a median survival of less than 2 years, which represents only a modest improvement from previous decades.1,2 Currently, very few factors have been identified that contribute to improving survival rates in glioblastoma patients with the best-known prognostic factors being extensive resection, diagnosis in adults under age 65, and radio-oncologic treatment.3 Accordingly, identification of prognostic factors that strongly predict survival in patients with glioblastoma is paramount, especially when this knowledge can lead to improvements in clinical management. A few studies have reported that history of seizure prior to diagnosis of glioblastoma predicts longer survival,4-6 but the relationship between preoperative seizure and glioblastoma prognosis is not well understood.
While seizure is more commonly a feature of lower grade gliomas, occurring in over 80% of patients,7 seizures do occur quite frequently in glioblastoma and are the first symptom in 20% to 40% of cases.8,9 Interestingly, seizures might occur via different mechanisms in low- vs high-grade gliomas. Lee et al (2010),10 through use of a retrospective imaging survey, found that the influence of location and size of gliomas on their tendency to cause seizures varies with tumor grade. In low-grade gliomas, tumors presenting with seizures were larger than tumors presenting with other symptoms, whereas in high-grade gliomas, tumors producing seizures were smaller and less likely to be deep-seated in the pericallosal regions compared to tumors presenting with other symptoms. Although not fully understood, brain-tumor related epilepsy is thought to occur via excretion of molecules by the tumor itself to make the tumor or peritumoral tissue more epileptogenic11 and/or via the mechanical compression of normal tissue leading to its ischemia and hypoxia, making it more epileptogenic. The dominant mechanism of epileptogenesis in glioblastoma is likely disruption of the subcortical electrical network due to its fast-growth and infiltrative nature, causing an imbalance between inhibitory and excitatory neural networks.12
While seizures occurring in lower grade gliomas have been well described, few studies have investigated seizure as a prognostic factor in glioblastoma, and no studies have investigated seizures in the context of other preoperative symptoms. Preoperative symptoms can reflect the tumor characteristics (eg, size, growth rate) and also can influence clinical course (eg, how early a glioblastoma is detected) and thus can give insight into prognosis. By examining the multiple differences that exist between patients with tumors that cause only seizures preoperatively vs those that cause seizures than other symptoms preoperatively, we sought to provide information that might define the importance of prompt surgical intervention in the management of glioblastoma patients with preoperative seizures.
METHODS
Patient Cohort
We retrospectively analyzed data from patients with newly diagnosed glioblastoma undergoing first resection between 2005 and 2011 at our tertiary care specialized brain tumor center. Any patient who was under the age of 18 had been previously diagnosed with a lower grade glioma, or had previous resection and/or adjuvant therapy was excluded. In total, 443 patients met inclusion criteria. Our Institutional Committee on Human Research reviewed and approved this study. Because our study did not use or collect information beyond what was in the medical record, informed consent of patients was not required.
Recorded Variables
Radiographic reports from MR scans were used to determine size (ie, tumor's largest dimension) (as measured by T1 postgadolinium enhancement) and location of the tumor according to the lobe (frontal, temporal, parietal, and occipital), or “other surgical location” (eg, thalamus, basal ganglia, and cerebellum). To determine location, computed tomography scan reports were used when MR scans were not available (occurred in less than 2% of cases). Preoperative scan reports were also used to determine if tumors were multifocal and/or bilateral. Extent of resection was divided into 2 groups based on radiological reports: the first group consisted of patients in whom “gross total” or “near total” resection (>95%) was achieved, and the second group included patients in whom “subtotal resection” was achieved. Epileptic seizures were classified according to the categories set by the International League Against Epilepsy, as focal with or without impairment of consciousness, or evolving to a bilateral convulsive seizure.13 Patients were considered as having a preoperative seizure in cases where they suffered at least 1 seizure during the preoperative period that was not attributable to other etiologies such as subdural hematoma, increased intracranial pressure, electrolyte disturbances, or metabolic/toxic causes.
Other preoperative symptoms were determined through corroboration of all preoperative patient charts. Other than seizures, preoperative symptoms included headache, visual disturbances, facial weakness, gait instability, focal weakness, cognitive disturbances (eg, confusion, memory decline), and sensory disturbances. In addition, preoperative patient medical comorbidities were recorded using the Charlson comorbidity index,14 which assigns a weighted score using a range of comorbid conditions (22 in total). Postresection in-hospital morbidities (eg, delirium, deep venous thrombosis, seizure) as well as length of postresection hospital stay were recorded. All postoperative treatments after first resection (even after subsequent resections) were recorded including standard of care Stupp protocol15 (radiation and temozolomide) and additional agents (eg, bevacizumab, lomustine). Survival (in months) was calculated by subtracting date of death (found through the Social Security Death Index or medical records) from the date of first resection.
For patients who had seizure as their only symptom at presentation, the time from presentation from presentation to surgery was recorded. Date of presentation occurred when patients presented to a hospital after having one or more seizures and received imaging demonstrating a mass suggestive of high-grade glioma (ie, date of diagnostic magnetic resonance imaging [MRI]). All preoperative radiographic scans and medical records were reviewed to determine if tumor growth (based on tumor volume increase >20% [ie, likely not due to measurement error] and/or radiologist impressions) and new symptoms other than seizure occurred in the interval between the first preoperative scan and the scan immediately prior to surgery. Interval tumor growth was based on increase in dimensions of the T1-gadolinium enhancement on MRI scans. The degree of tumoral edema was assessed in the MRI taken immediately prior to resection using a binary classification method16 whereby minor vs major edema designations were based upon the maximal extension of bright T2-weighted signal beyond the tumor margins. If the T2-weigthed signal extended >1 cm in any direction beyond the tumor margin, this was considered major edema and if not, the tumor was said to have minor edema. The location of initial presentation was also recorded for this group and was categorized as either “emergency room presentation” or “outpatient clinic presentation.”
Statistics
The Wilcoxon rank-sum and chi-square tests were used for continuous and categorical variable comparison, respectively. We used univariate Cox proportional hazards methods to assess how prognostic factors, such as extent of resection, tumor size, and adjuvant radiotherapy impacted overall survival. Stepwise multivariate Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to investigate variables independently predicting overall survival. A P-value of <.1 was required for variable entry and retention in all stepwise multivariate models. In our study, all P-values < .05 were considered statistically significant. All analyses were performed through use of JMP Statistical Software version 12 (SAS Institute Inc., Cary, North Carolina).
RESULTS
Patient Cohort
Data from the electronic medical record of a total of 443 patients who met inclusion criteria were analyzed. The median age of the entire cohort was 60.2 years, and 40.0% of patients were female (Table 1). One hundred sixty-one patients (36%) were 65 years or older. The frontal lobe was the most common lobe in which the tumor was centered (ie, majority of tumor mass in frontal lobe; 37% of cases, n = 163). Tumors were centered in the temporal lobe in 36% of cases (n = 158), the parietal lobe in 20% of cases (n = 90), occipital in 5% of cases (n = 21), and other location (eg, cerebellum, thalamus, basal ganglia) in 3% of cases (n = 11). Tumor involvement of the temporal lobe, a purported risk factor for tumor-related epilepsy,9 was present in about half of patients (51%, n = 228). Preoperative seizure(s) occurred in 28% of patients (n = 124), of which 63 (51%) had only seizure at presentation. The mean tumor size was 4.7 cm. About half of the patients underwent gross total resection (n = 219, 49%). A large majority underwent the postoperative adjuvant standard of care Stupp protocol consisting of radiation therapy with concurrent temolzolomide (>90%).
TABLE 1.
Patient, Tumor, and Treatment Characteristics in 443 Patients Undergoing Resection for Primary Glioblastoma
| Characteristic | All patients (n = 443) | No seizure (n = 313) | Seizures (n = 124) | P-value (seizures vs no seizures) | Seizure only pre-op (n = 45) | Symptoms postseizure (n = 18) | P-value (no seizure vs seizure only preop vs symptoms postseizure) |
|---|---|---|---|---|---|---|---|
| Patient characteristics | |||||||
| Age | 60.2 ± 12.4 | 60.6 ± 12.6 | 59.1 ± 11.6 | .20 | 55.7 ± 10.9 | 59.3 ± 11.3 | .024 |
| % age 65 or older | 161 (36%) | 119 (38%) | 40 (32%) | .67 | 9 (20%) | 5 (28%) | .049 |
| Gender (% male) | 266 (60%) | 191 (61%) | 73 (59%) | .27 | 28 (62%) | 12 (67%) | .86 |
| Charlson comorbidity score >0 | 127 (29%) | 88 (28%) | 37 (30%) | .70 | 9 (20%) | 6 (33%) | .44 |
| Tumor characteristics | |||||||
| Primary tumor location | |||||||
| F—frontal | F: 163 (37%) | F: 114 (36%) | F: 48 (39%) | .10 (overall) | F: 20 (44%) | F: 5 (28%) | .68 (overall) |
| T—temporal | T: 158 (36%) | T: 100 (32%) | T: 53 (43%) | T: 18 (40%) | T: 10 (56%) | ||
| P—parietal | P: 90 (20%) | P: 71 (23%) | P: 19 (15%) | .033 (temporal lobe) | P: 5 (11%) | P: 2 (11%) | .11 (temporal lobe) |
| O—occipital | O: 21 (5%) | O: 19 (6%) | O: 2 (2%) | O: 1 (2%) | O: 1 (6%) | ||
| Other location | Other: 11 (3%) | Other: 9 (3%) | Other: 2 (2%) | Other: 1 (2%) | Other: 0 (0%) | ||
| Temporal lobe involvement | 228 (51%) | 157 (50%) | 66 (53%) | .61 | 22 (49%) | 14 (78%) | .076 |
| Bilateral | 61 (14%) | 47 (15%) | 13 (11%) | .20 | 3 (7%) | 1 (6%) | .18 |
| Multifocal | 88 (20%) | 62 (20%) | 25 (20%) | .97 | 10 (22%) | 3 (17%) | .87 |
| Largest tumor dimension (in cm) | 4.7 ± 1.5 | 4.9 ± 1.4 | 4.1 ± 1.5 | <.001 | 3.5 ± 1.4 | 4.8 ± 1.4 | <.001 |
| Radiographic evidence of preoperative tumor growth | NA | NA | NA | NA | 5 (13%) | 11 (79%) | <.001 |
| Postresection in-hospital course | |||||||
| Length of in-hospital postresection stay | 5.9 ± 3.6 | 6.1 ± 3.9 | 5.5 ± 2.6 | .20 | 4.6 ± 3.0 | 6.1 ± 2.8 | <.001 |
| Postresection morbidities | 60 (14%) | 46 (15%) | 14 (11%) | .33 | 2 (4%) | 5 (28%) | .042 |
| Treatment characteristics | |||||||
| Radiotherapy | 382 (95%) | 268 (94%) | 110 (97%) | .14 | 43 (98%) | 13 (93%) | .56 |
| Temozolomide | 363 (91%) | 252 (89%) | 107 (95%) | .08 | 42 (95%) | 12 (86%) | .38 |
| Adjuvant agents (eg, bevacizumab) | 182 (46%) | 127 (45%) | 55 (50%) | .43 | 28 (63%) | 5 (38%) | .053 |
| Clinical trial partcipation | 119 (29%) | 84 (29%) | 34 (30%) | .85 | 19 (43%) | 2 (13%) | .055 |
| Gross total resection | 219 (49%) | 149 (48%) | 67 (54%) | .25 | 31 (69%) | 13 (72%) | .0054 |
| Median survival (months; 95% CI) | 13.7 (12.3-14.9) | 13.1 (11.1-14.7) | 15.1 (13.0-18.1) | 26.8 (19.5-35.4) | 10.2 (7.7-15.1) |
Of the 443 Patients Undergoing First Resection for Primary Glioblastoma, 124 (28%) had Preoperative Seizure. The 63 Patients with Seizure Only at Presentation Were Divided in to Those Experiencing Additional Preoperative Symptoms (n = 18) vs Those not Experiencing Preoperative Symptoms (n = 45). Patient, Tumor, And Treatment Characteristics were Compared; “Seizure” vs “No Seizure” as well as “Seizure” vs “Seizure Only” vs “Seizure Then Symptoms” Were the 2 Comparisons Performed. P-Values are Listed in the Columns to the Right of the Groups Compared and Those <.05 are in Bold.
Preoperative Seizure Classification
Ninety-five of the 124 patients (77%) with preoperative seizures had reliable accounts of their epileptic seizure characteristics that permitted classification by seizure type (Table 2).
TABLE 2.
Seizure Characteristics in 124 Patients With Preoperative Seizures
| Seizure type | Number of patients (% of patients) |
|---|---|
| Focal without consciousness impairment | 43 (35%) |
| Focal with consciousness impairment | 13 (10%) |
| Focal evolving to a bilateral convulsive | 43 (35%) |
| Unspecified seizure type | 29 (23%) |
| Multiple seizure types | 4 (3%) |
| Multiple seizure events | 63 (51%) |
| Status epilepticus | 3 (2%) |
| Total patients with seizures | 124 |
Seizures Were Classified Into 3 Groups Based on Type (Focal Without Consciousness Impairment, Focal With Consciousness Impairment, and Focal Evolving to a Bilateral Convulsive). If Patient Records Were not Clear as to the Type of Seizure, it was Designated as Unspecified.
The most common seizure types were “focal without consciousness impairment” (35%) and “focal evolving to a bilateral convulsive” (35%) and the least common type was “focal with consciousness impairment” (10%). About half of patients (51%) with preoperative seizures had more than 1 seizure event before surgery.
Other Preoperative Symptoms
Descriptive data were collected on the frequency of various common preoperative symptoms occurring in the context of glioblastoma. The most common symptoms in patients without preoperative seizure were headache (47%) and cognitive difficulty (43%), whereas headache (23%) and language deficit (23%) were most common in patients with preoperative seizure (Table 3). When seizure was included as a symptom, the mean number of symptoms in patients with and without preoperative seizure was 2.2 and 2.1, respectively (P = .84). Furthermore, 92 of the 313 patients (29%) without preoperative seizure experienced only 1 preoperative symptom.
TABLE 3.
Percentage of Other Symptoms in Glioblastoma Patients With Preoperative Seizure (n = 124) vs Percentage of Symptoms in Patients Without Preoperative Seizure (n = 313)
| Symptom | Percentage of symptoms in patients with preoperative seizure (%) | Percentage of symptoms in patients without preoperative seizure (%) | P-value |
|---|---|---|---|
| Visual symptoms | 5 | 14 | .0052 |
| Headache | 23 | 47 | <.001 |
| Cognitive difficulty | 20 | 43 | <.001 |
| Sensory disturbance | 10 | 11 | .82 |
| Language deficit | 23 | 36 | .013 |
| Weakness | 22 | 28 | .18 |
| Facial weakness | 10 | 16 | .085 |
| Gait disturbances | 5 | 18 | <.001 |
| Average number of symptoms per patient (including seizures) | 2.2 | 2.1 | .84 |
Percentages of Preoperative Symptoms Other Than Seizure Were Listed for Patients With Seizure vs Patients Without. Significant Differences in Proportions of Patients With a Given Preoperative Symptom Were Listed as well as P-Values in the Rightmost Column Comparing Proportions Between Groups (P < .05 in Bold). There was not a Significant Difference in Number Of Symptoms Experienced by Patients With Seizure vs Those Without When Seizure was Included as a Preoperative Symptom. Pearson's Chi-Square Test was Used to Compare Proportions Between Groups; Wilcoxon Rank-Sum Test was Used for Comparing Number of Symptoms Between Groups.
Patient Subgroups
The patient cohort was divided into 3 groups for most analyses: patients without preoperative seizures (“no seizure,” n = 313), patients with seizure as their only preoperative symptom (“seizure only,” n = 45), and patients who presented with seizure and then later developed additional preoperative symptoms (“other symptoms postseizure,” n = 18). Patients with nonepileptic seizures (n = 4; eg, seizure due to hemorrhage or toxic/metabolic causes) and baseline seizure disorders (n = 2) were excluded from comparative analyses. Breakdown of these groups is represented in Figure 1.
FIGURE 1.
Patient subgroups based on presence of preoperative seizure and other preoperative symptoms. Seventy-one percent of patients did not have preoperative seizure and 1% of patients (n = 6) had seizure from a previous seizure disorder or from nonepileptic causes (eg, hemorrhage, toxic/metabolic). The 124 patients (28%) who had preoperative seizure were divided into 3 groups based on presence of other preoperative symptoms. Those who had other symptoms at presentation (ie, before diagnostic MRI) accounted for 49% (n = 61), whereas those who developed other symptoms before resection, but after presentation accounted for 15% (n = 18). Finally, 36% of patients with preoperative seizure (n = 45) experienced seizure as an only preoperative symptom.
Subgroup Analyses
Several significant differences in tumor characteristics between groups were noted. First, tumors in patients with preoperative seizure were more likely to be centered in the temporal lobe compared to tumors in patients without preoperative seizure (P = .033). Tumors in “seizure-only” patients were smaller than tumors in “other symptoms postseizure” patients (3.5 vs 4.8 cm; P = .0033) and tumors in “no seizure” patients (3.5 vs 4.7 cm; P < .001). Furthermore, radiographic preoperative tumor growth occurred more frequently in “other symptoms postseizure” than it did in “seizure-only” patients (79% vs 13%, P < .001; Table 1). When compared to “other symptoms postseizure” patients, “seizure-only” patients had shorter hospital stays (4.6 vs 6.1 days, P < .001) and were less like to develop postresection morbidities (eg, delirium, hemiplegia; 4% vs 28%, P = .008).
Impact of Time From Presentation to Surgery
Longer wait time from presentation (ie, diagnostic MRI) to surgery was a risk factor for developing additional symptoms in patients initially presenting with seizure only (n = 63). Patients with “other symptoms postseizure” had longer wait times from presentation to surgery than “seizure-only” patients (median wait times = 83 vs 18 days, P < .001). Furthermore, 11 “other symptoms postseizure” patients (69%) vs 6 “seizure-only” patients (15%) had wait times >45 days (P < .001). Patients with wait times >45 days were more likely to exhibit radiographic preoperative tumor growth than patients with shorter wait times (71% vs 15%, P < .001).
We found that site of initial presentation impacted wait time to surgery. Wait times were significantly shorter when initial presentation was to the emergency room vs outpatient clinic (18 vs 56 days, P = .002), and patients were more likely to present to emergency room when they had generalized seizures vs other types (90% vs 50%, P = .029). Wait time was not influenced by distance between the patient's residence and our medical center (using analysis of distance between zip codes); patients living >100 miles away (n = 26) had a median wait time to surgery of 26 vs 21 days in patients living <100 miles away (n = 37; P = .72).
Increased peritumoral edema has been associated with development of seizures in gliomas,16 although this link has not been thoroughly established. Using the previously mentioned binary categorization method to assess the degree of edema present on the 63 patients’ MRIs taken immediately prior to surgery, we found that wait time to surgery was significantly longer in patients with minor edema vs major edema (40 vs 21 days, P = .024). Having major edema (vs minor edema) was not associated with a significantly increased overall survival in these patients (20.2 vs 15.9 months, HR = 0.58 [0.30-1.12]).
Survival
The median survival for all patients was 13.7 months. “Seizure-only” patients (n = 45) survived more than twice as long than “other symptoms postseizure” patients (26.8 vs 10.1 months, HR = 0.21 [0.11-0.43], P < .001) and patients without preoperative seizure (“no seizure”; 26.8 vs 13.1 months, HR = 0.50 [0.35-0.70], P < .001; Figure 2). Preoperative seizure (vs no preoperative seizure) was not associated with a statistically significant increased survival in patients with glioblastoma (15.1 vs 13.1 months, HR = 0.81[0.65-1.01], P = .07).
FIGURE 2.

Survival of patients related to presence of preoperative seizure. “Seizure-only” patients (n = 45) survived more than twice as long than “other symptoms postseizure” patients (26.8 vs 10.1 months, HR = 0.21 [0.11-0.43], P < .001) and patients without preoperative seizure (“no seizure”; 26.8 vs 13.1 months, HR = 0.50 [0.35-0.70], P < .001). Preoperative seizure (vs no preoperative seizure) was not associated with a statistically significant increased survival (15.1 vs 13.1 months, HR = 0.81[0.65-1.01]).
The 92 patients without preoperative seizure who only had 1 preoperative symptom did not have increased survival compared to patients without preoperative seizure who experienced more than 1 preoperative symptom (12.2 vs 13.1 months, HR = 1.10 [0.84-1.42], P = .48), suggesting that there was no prognostic benefit of having only 1 preoperative symptom in patients whose sole preoperative symptom was not seizure.
Univariate survival analyses were conducted (Table 4). A variety of factors were found to be associated with decreased survival in patients with glioblastoma undergoing first resection including age at surgery (>65 years), Charlson comorbidity (score ≥1 and ≥2 vs 0), preoperative cognitive disturbances, preoperative motor weakness, subtotal resection, postresection morbidities, and development of preoperative symptoms after presenting with only seizure, whereas radiation, temozolomide, additional chemotherapeutic agents, clinical trial participation, and seizure as the only preoperative symptom were associated with increased survival. Interestingly, postresection (in-hospital) seizure was not associated with a survival difference (P = .92). However, when patients with postresection (in-hospital) seizure were subdivided into nonelderly (age ≤65 years, n = 10) and elderly (age >65 years, n = 7), postresection seizure in elderly patients (vs all other elderly patients) was associated with a significant decreased in overall survival (2.0 vs 8.7 months, [HR] 4.37 [95% CI 1.69-9.27], P = .0044).
TABLE 4.
Univariate Analysis of Overall Survival in 443 Patients Undergoing First Resection for Primary Glioblastoma (389 Deaths and 54 Censored)
| Factor | Median Survival Time (months) with 95% CI | P-values and HR |
|---|---|---|
| Sex | .076 | |
| Male | 13.4 (11.7-14.9) | 1 |
| Female | 14.3 (11.5-17.3) | .83 (0.68-1.02) |
| Age at surgery | <.001 | |
| <65 years | 16.5 (14.8-18.2) | 1 |
| ≥65 years | 8.5 (6.9-10.1) | 1.97 (1.59-2.43) |
| Charlson index | <.001 | |
| 0 (vs ≥1) | 15.3 (14.1-16.9) | 1 |
| ≥1 (vs 0) | 9.4 (7.4-11.5) | 1.68 (1.35-2.09) |
| ≥2 (vs 0) | 7.6 (4.9-11.2) | 1.84 (1.36-2.44) |
| Preoperative language disturbances | .59 | |
| No language disturbances | 13.4 (11.5-14.8) | 1 |
| Language disturbances | 14.2 (11.6-16.6) | 1.06 (0.86-1.30) |
| Preoperative cognitive disturbances | .0011 | |
| No cognitive disturbances | 14.9 (13.1-16.5) | 1 |
| Cognitive disturbances | 10.9 (9.1-14.2) | 1.41 (1.14-1.72) |
| Preoperative motor weakness | .017 | |
| No motor weakness | 14.5 (13.4-15.9) | 1 |
| Motor weakness | 9.9 (7.7-13.1) | 1.32 (1.05-1.65) |
| Preoperative seizure | .067 | |
| No seizure | 13.1 (11.1-14.7) | 1 |
| Seizure | 15.1 (13.0-18.1) | 0.81 (0.65-1.01) |
| Tumor size | .062 | |
| ≤4 cm | 15.4 (12.9-17.6) | 1 |
| >4 cm | 12.9 (10.4-14.3) | 1.23 (0.99-1.55) |
| EOR | <.001 | |
| GTR | 17.0 (14.8-19.0) | 0.60 (0.49-0.73) |
| STR | 10.4 (8.6-12.7) | 1 |
| Postresection morbidities | .012 | |
| No morbidities | 14.7 (13.3-15.8) | 1 |
| Morbidities | 6.4 (3.3-10.5) | 1.50 (1.10-2.01) |
| Postresection (in-hospital) seizure | .92 | |
| No seizure | 13.8 (12.3-14.9) | 1 |
| Seizure | 10.5 (2.0-16.8) | 0.97 (0.53-1.62) |
| Postoperative therapy | ||
| Radiation | <.001 | |
| No radiation | 1.0 (0.2-5.3) | 1 |
| Radiation | 14.9 (13.7-16.3) | 0.16 (0.10-0.26) |
| Temozolomide | <.001 | |
| No temozolomide | 4.3 (2.5-6.1) | 1 |
| Temozolomide | 15.6 (14.3-17.2) | 0.17 (0.12-0.25) |
| Additional agents other than temozolomide (eg, bevaciuzmab) | <.001 | |
| No additional agents | 9.0 (7.2-10.7) | 1 |
| Additional agents | 18.8 (17.3-21.6) | 0.56 (0.46-0.70) |
| Clinical Trial Participation | <.001 | |
| No clinical trial | 10.7 (9.3-13.0) | 1 |
| Clinical trial | 18.7 (17.3-21.1) | 0.61 (0.49-0.77) |
| Symptoms postseizure (initially presenting with seizure only) | .0433 | |
| Symptoms postseizure | 10.2 (6.7-16.6) | 1.76 (1.02-2.81) |
| All other patients | 14.3 (13.1-15.6) | 1 |
| Preoperative seizure only | <.001 | |
| Preoperative seizure only | 26.8 (18.2-34.2) | 0.48 (0.34-0.67) |
| All other patients | 12.9 (11.1-14.2) | 1 |
Median Survival (With 95% CIs) was Listed for Various Factors With the Potential to Influence Survival. HRs and P-Values Associated With Each Comparison are Listed in the Rightmost Column and P-Values <0.05 are in Bold.
Univariate survival analyses were conducted on the 63 patients who presented with only preoperative seizure (Table 5). Wait time (from presentation to surgery) greater than 45 days (as well as wait time as a continuous variable), radiographic evidence of preoperative tumor growth (after presentation before surgery), and development of preoperative symptoms after presenting with only seizure were associated with decreased survival. Site of presentation (emergency department vs outpatient) was not associated with a statistically significant difference in overall survival in patients presenting with only preoperative seizure (P = .19).
TABLE 5.
Univariate Factors Predicting Survival in 63 Patients Presenting With Seizure Only (11 Censored, 52 Deaths)
| Characteristic | Median survival time (months) with 95% CI | P-values and HR |
|---|---|---|
| Wait time from presentation to surgery | ||
| Wait time (binary cut-off) | .025 | |
| Wait time ≤45 days (n = 39, 70%) | 22.0 (18.1-40.2) | 1 |
| Wait time >45 days (n = 17, 30%) | 12.9 (8.4-16.8) | 2.17 (1.11-4.05) |
| Wait time (in months) | .0018 | |
| Unit increase in wait time (in months) | NA | 1.43 (1.16-1.74) |
| Site of initial presentation | 0.19 | |
| Outpatient (n = 14, 41%) | 16.6 (10.1-33.7) | 1 |
| ED (n = 20, 59%) | 28.2 (15.2-48.8) | 0.57 (0.25-1.35) |
| Radiographic evidence of preoperative tumor growth | .043 | |
| No evidence of growth (n = 34, 63%) | 26.1 (15.7-43.3) | 1 |
| Evidence of growth (n = 20, 37%) | 15.0 (7.9-18.8) | 1.94 (1.00-3.66) |
| Development of additional preoperative symptoms | <.001 | |
| Symptoms postseizure (n = 18, 29%) | 10.1 (6.7-16.6) | 4.7 (2.31-9.31) |
| Seizure only (n = 45, 71%) | 26.8 (18.2-34.2) | 1 |
Factors Influencing the Survival of the 63 Patients With Only Seizure At Presentation Were Explored. Median Survival Of Each Group (with 95% CIs) was reported. Hazard Ratios and P-Values Comparing Groups are Listed in the Rightmost Column and P-Values <0.05 are in Bold. Complete Data was not Available for Every Patient. For example, not Every Patient had Sufficient Documentation to Conclude Their Exact Date of Presentation, Disallowing Calculation of Wait Time From Presentation to Surgery.
Multivariate analysis of the 63 patients presenting with seizure only revealed that after controlling for a variety of factors known to influence survival in glioblastoma (ie, age, temozolomide administration, preoperative Charlson Co-morbidity Index (CCI) score, adjuvant therapies, and extent of resection), increased wait time from presentation to surgery was independently associated with decrease survival ([HR] 1.36 [95% CI 1.08-1.69], P = .011; HR reported as unit regressor equal to 1 month increased wait time).
Multivariate stepwise analysis was used to identify independent predictors of survival in all patients in our study (n = 443). Consistent with previous studies, younger age at diagnosis (≤65 years; [HR] 0.69 [95% CI 0.54-0.88], P = .0034), Charlson comorbidity score = 0 ([HR] 0.75 [95% CI 0.59-0.98], P = .032), gross total resection ([HR] 0.68 [95% CI 0.54-0.84], P < .001), postoperative temozolomide ([HR] 0.35 [95% CI 0.21-0.63], P < .001), postoperative radiation ([HR] 0.39 [95% CI 0.19-0.77], P = .0075), and use of other adjuvant agents (eg, bevacizumab; anytime after first resection; [HR] 0.67 [95% CI 0.53-0.83], P < .0001) were associated with improved survival. Additionally, in this multivariate analysis, the presence of preoperative seizures without other symptoms was independently associated with significantly improved survival ([HR] 0.54 [95% CI 0.37-0.75], P < .0001; Table 6).
TABLE 6.
Stepwise Multivariate Analysis of Various Patient, Treatment, and Tumor Characteristic That Affected Overall Survival in Patients With Glioblastoma
| Characteristic | Hazard ratios | P-values |
|---|---|---|
| Temozolomide (vs no temozolomide) | 0.35 [0.21-0.63] | <.001 |
| Radiation (vs no radiation) | 0.39 [0.19-0.77] | .0075 |
| ‘Seizure only’ (vs all other patients) | 0.54 [0.37-0.75] | <.001 |
| Adjuvant agents (eg, bevacizumab; vs no adjuvant agent) | 0.67 [0.53-0.83] | <.001 |
| Gross total resection (vs subtotal resection) | 0.68 [0.54-0.84] | <.001 |
| Younger age (≤65 years old; vs >65 years old) | 0.69 [0.54-0.88] | .0034 |
| Charlson comoribidity score = 0 (vs CCI>0) | 0.75 [0.59-0.98] | .032 |
Univariate Factors Known to Influence Survival Were Included in a Stepwise Multivariate Analysis of Survival in 443 Patients With Primary Glioblastoma Undergoing First Resection. Seven Variables Were Retained in the model, Including “Seizure Only” (vs all Other Patients; HR 0.54 [0.37-0.75], P < .001).
When the patient groups were subdivided into nonelderly vs elderly patients (≥65 years old), seizure in the absence of other symptoms remained a significant prognostic factor, especially in the elderly (Figure 3). The elderly patients in the “seizure-only” (n = 9) group lived more than twice as long (30.4 vs 8.6 months, HR = 0.42 [0.20-0.80], P = .0062) as elderly patients in the “no seizure” group (n = 117), and there was no statistically significant difference in the survival of elderly patients vs nonelderly patients in the “seizure-only” group (n = 36; 30.4 vs 26.8 months, HR = 1.31 [0.57-2.71], P = .50).
FIGURE 3.

Elderly patients with “seizure-only” experience substantially increased survival. The elderly patients in the “seizure-only” (n = 9) group lived more than twice as long (30.4 vs 8.6 months, HR = 0.42 [0.20-0.80], P = .0062) as elderly patients in the “no seizure” group (n = 117), and there was no statistically significant difference in the survival of elderly patients vs nonelderly patients in the “seizure-only” group (n = 36; 30.4 vs 26.8 months, HR = 1.31 [0.57-2.71], P = .50).
DISCUSSION
A number of prognostic factors have been suggested for glioblastoma, a devastating cancer with a median survival of less than 2 years. The most validated factors for improving glioblastoma patient prognosis include diagnosis in adults under age 65, extensive resection, and use of adjuvant radiation and chemotherapy.3,17 We sought to further characterize the prognostic significance of preoperative seizure in glioblastoma. The prevalence of preoperative seizure in our patient cohort was consistent with previous literature, which cites that about 25% of patients with glioblastoma will experience seizure as the first symptom of the disease.5
Preoperative seizure has previously been found to predict increased survival in glioblastoma, although there is not an overwhelming consensus about this association.4,5,18 Ozbek et al (2004)4 was the first article to report on the prognostic significance of preoperative seizure in glioblastoma and found the variable of “seizure at diagnosis” to be associated with increased survival in multivariate analysis. Similarly, Toledo et al (2015)5 found seizures as a presentation symptom independently predicted increased survival, whereas postresection seizures tended to signal tumor progression or end of life stages. Most recently, Shin et al (2016)18 found that seizures (at any time during the course of glioblastoma) were not associated with significantly increased survival. We are first to report the significance of wait time from presentation to surgery in the context of patients presenting with preoperative seizure. Our data suggest that the prognostic benefit of preoperative seizure occurs because seizures typically arise from small lesions, but that this prognostic benefit only occurs when surgical intervention is prompt and timely before other symptoms, a surrogate marker of subsequent tumor growth, occur.
We attempted to identify possible reasons for decreased wait times in patients presenting with only seizure and found that patients presenting to the emergency room instead of an outpatient presentation had decreased wait times to surgery. This was presumably due to patients being admitted to the hospital from the emergency room and undergoing more prompt surgical intervention than a patient needing to await a spot on the elective surgical schedule from the clinic. Regardless of whether they present through the emergency room or clinic, we hope that our findings will imbue a sense of immediacy in this process for patients presenting with seizure as their only symptom.
In our cohort of patients with preoperative seizure alone, those who went to surgery quickly such that seizure remained their only symptom had better survival than those with greater delay to surgery, which was associated with the emergence of other symptoms. A longer wait time allows for tumor growth (which we detected radiographically) and might also allow for glioblastoma to evolve more aggressive biology, either of which could lead to the development of other symptoms after an initial seizure. Development of this aggressive biology19 might render this tumor less responsive to treatment, which would mean a poorer survival for these patients harboring these tumors. Further prospective investigation would be helpful to validate our retrospective observation that more immediate surgical intervention improves survival in patients who initially present with seizure as their only preoperative symptom.
Limitations
Limitations of this study include its retrospective nature, which could affect the accuracy of information on time from diagnostic MRI to surgery if some images failed to be archived or recorded, which could lead to underestimation. Also, the nature of reporting in the electronic medical record as well as patients’ illness perceptions could lead to a confounding effect if patients or clinicians did not endorse or record other potentially subtle presenting symptoms given the overwhelming influence of a seizure presentation. In addition, the majority of the time period during which these cases were pulled occurred before our institution began routine analysis of modern molecular markers such as Isocitrate dehydrogenase 1 (IDH1), a molecular marker that is associated with lower grade gliomas and secondary glioblastomas (those arising from lower grade gliomas) and, accordingly, portends a favorable prognosis.20 However, a recent study found no significant association (P = .9) between preoperative seizures in glioblastoma and IDH mutation status,21 suggesting that our results about the importance of prompt surgical resection in patients presenting with seizure only were not confounded by the IDH status of these tumors. Nonetheless, the molecular biology and genetics of epileptogenic glioblastomas is believed to be different from nonepileptogenic glioblastomas. For example, glioblastomas with oligodendroglial components reduced EAAT2 expression, and higher glutamate concentrations have been shown to be associated with the development of tumor-associated epilepsy in glioblastoma.8,11 Biological differences between epileptogenic and nonepileptogenic glioblastomas could account for differences in survival, and this relationship is an area for further research.
CONCLUSION
Seizure as the only preoperative symptom independently improved survival; however, when patients developed additional preoperative symptoms, typically due to delay in surgery, no prognostic benefit was observed. Tumors in patients with preoperative seizure were smaller than tumors in patients without preoperative seizure. Seizure as the only preoperative symptom was especially predictive of increased survival in elderly patients. Taken together, our results suggest that the prognostic benefit of preoperative seizure in glioblastoma patients is only realized with prompt neurosurgical intervention and that failure to do so can lead to the development of other symptoms causing these patients to lose their favorable prognosis.
Disclosure
The authors have no personal, financial, or institutional interest in any of the drugs, materials, or devices described in this article.
REFERENCES
- 1. Johnson DR, O’Neill BP. Glioblastoma survival in the United States before and during the temozolomide era. J Neurooncol. 2012;107(2):359-364. [DOI] [PubMed] [Google Scholar]
- 2. Woehrer A, Bauchet L, Barnholtz-Sloan JS. Glioblastoma survival: has it improved? Evidence from population-based studies. Curr Opin Neurol. 2014;27(6):666-674. [DOI] [PubMed] [Google Scholar]
- 3. Lacroix M, Abi-Said D, Fourney DR et al. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg. 2001;95(2):190-198. [DOI] [PubMed] [Google Scholar]
- 4. Ozbek N, Cakir S, Gursel B, Meydan D. Prognostic significance of seizure in patients with glioblastoma multiforme. Neurol India. 2004;52(1):76-78. [PubMed] [Google Scholar]
- 5. Toledo M, Sarria-Estrada S, Quintana M et al. Prognostic implications of epilepsy in glioblastomas. Clin Neurol Neurosurg. 2015;139:166-171. doi:10.1016/j.clineuro.2015.10.002. [DOI] [PubMed] [Google Scholar]
- 6. Lote K, Stenwig AE, Skullerud K, Hirschberg H. Prevalence and prognostic significance of epilepsy in patients with gliomas. Eur J Cancer. 1998;34(1):98-102. [DOI] [PubMed] [Google Scholar]
- 7. Chang EF, Potts MB, Keles GE et al. Seizure characteristics and control following resection in 332 patients with low-grade gliomas. J Neurosurg. 2008;108(2):227-235. [DOI] [PubMed] [Google Scholar]
- 8. Yuen TI, Morokoff AP, Bjorksten A et al. Glutamate is associated with a higher risk of seizures in patients with gliomas. Neurology. 2012;79(9):883-889. [DOI] [PubMed] [Google Scholar]
- 9. Chaichana KL, Parker SL, Olivi A, Quiñones-Hinojosa A. Long-term seizure outcomes in adult patients undergoing primary resection of malignant brain astrocytomas. Clinical article. J Neurosurg. 2009;111(2):282-292. [DOI] [PubMed] [Google Scholar]
- 10. Lee JW, Wen PY, Hurwitz S et al. Morphological characteristics of brain tumors causing seizures. Arch Neurol. 2010;67(3):336-342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Choi J, Stradmann-Bellinghausen B, Yakubov E, Savaskan NE, Régnier-Vigouroux A. Glioblastoma cells induce differential glutamatergic gene expressions in human tumor-associated microglia/macrophages and monocyte-derived macrophages. Cancer Biol Ther. 2015;16(8):1205-1213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Bruna J, Miró J, Velasco R. Epilepsy in glioblastoma patients: basic mechanisms and current problems in treatment. Expert Rev Clin Pharmacol. 2013;6(3):333-344. [DOI] [PubMed] [Google Scholar]
- 13. Berg AT, Berkovic SF, Brodie MJ et al. Revised terminology and concepts for organization of seizures and epilepsies: report of the ILAE Commission on Classification and Terminology, 2005-2009. Epilepsia. 2010;51(4):676-685. [DOI] [PubMed] [Google Scholar]
- 14. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47(11):1245-1251. [DOI] [PubMed] [Google Scholar]
- 15. Stupp R, Mason WP, van den Bent MJ et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med. 2005;352(10):987-996. [DOI] [PubMed] [Google Scholar]
- 16. Wu C-X, Lin G-S, Lin Z-X et al. Peritumoral edema on magnetic resonance imaging predicts a poor clinical outcome in malignant glioma. Oncol Lett. 2015;10(5):2769-2776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Grabowski MM, Recinos PF, Nowacki AS et al. Residual tumor volume versus extent of resection: predictors of survival after surgery for glioblastoma. J Neurosurg. 2014;121(5):1115-1123. [DOI] [PubMed] [Google Scholar]
- 18. Shin JY, Kizilbash SH, Robinson S, Uhm JH, Jatoi A. Incidence, characteristics, and implications of seizures in patients with glioblastoma. Am J Hosp Palliat Care. 2016. doi:10.1177/1049909116647405. [DOI] [PubMed] [Google Scholar]
- 19. Ellingson BM, Nguyen HN, Lai A et al. Contrast-enhancing tumor growth dynamics of preoperative, treatment-naive human glioblastoma. Cancer. 2016;122(11):1718-1727. [DOI] [PubMed] [Google Scholar]
- 20. Cohen A, Holmen S, Colman H. IDH1 and IDH2 mutations in gliomas. Curr Neurol Neurosci Rep. 2013;13(5):345 doi: 10.1007/s11910-013-0345-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Yang Y, Mao Q, Wang X et al. An analysis of 170 glioma patients and systematic review to investigate the association between IDH-1 mutations and preoperative glioma-related epilepsy. J Clin Neurosci. 2016;31:56-62. doi: 10.1016/j.jocn.2015.11.030. [DOI] [PubMed] [Google Scholar]

