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1. Introduction
Cerebral venous sinus thrombosis (CVST) is an uncommon form of stroke [1]. Several risk factors for CVST have been recognized including pregnancy, puerperium, oral contraceptive (OC) use, infections, inflammatory diseases, and thrombophilia. CVST is believed to be more common in women than in men [1, 2]. In addition, there is uniform age distribution in men, while 60% of women with CVST are clustered at 20-35 years old [1–4]. In some studies, one of third cases was clustered in periods of pregnancy and puerperium [5].
This study was performed to evaluate details about CVST among women and focused on reproductive health-related risk factors (RHRF) such as pregnancy, puerperium, and OC use.
2. Materials and Methods
This study includes 777 female CVST cases of the VENOST cohort. VENOST is a retrospective and multicenter observational study that includes 1144 patients with CVST diagnosed at 35 national neurology centers. In diagnosing CVST, the criteria defined in the VENOST study were used [1].
The patients were divided into two groups according to reproductive health-related risk factors (RHRF) such as oral contraceptive use, puerperium, and pregnancy as the RHRF (+) group and the RHRF (-) group. At the initial admission, both groups were evaluated according to demographics, clinical symptoms, and neurological signs. Radiological workup included brain computed tomography (CT), brain magnetic resonance imaging (MRI), MR venography, and/or digital subtraction angiography. Etiological factors, acute and maintenance treatment, and follow-up results were evaluated for each group. Then, the RHRF (+) group was divided into three subgroups according to risk factors such as oral contraceptive use, puerperium, and pregnancy, and these sub-groups were evaluated using the same risk factors. Putative etiological risk factors included the following: infections (systemic or paracranial infection—otitis media, mastoiditis, or sinusitis), systemic inflammatory diseases, rheumatologic or connective tissue disease, malignancies, and hematologic diseases; and other specified causes were recorded.
The type of onset was considered to be acute if the duration of symptoms was less than 48 hours on admission, subacute if the duration was between 48 hours and 1 month, and chronic if the symptom duration was longer than 1 month. The study was approved by the ethics committee of the coordinating center (Acceptance No. 83045809/604/02-12333).
3. Results
In this study, 58% (
Acute onset is more frequent in the RHRF (+) group, whereas a subacute chronic mode of onset is more common in the RHRF (-) group. The most common symptoms were headache, visual field defects, and cranial neuropathies in the RHRF (-) group and headache and epileptic seizure in the RHRF (+) group. The comparison of these two groups according to clinical symptoms and signs: epileptic seizures (34%), nausea and vomiting (33%), and focal neurologic deficit (25%), was more common in the RHRF (+) group and visual field defect (29%) and cranial nerve palsies (13%) were more common in the RHRF (-) group.
In the total female group investigations, CVST was diagnosed with cranial MRI and MRV in 682 patients, with cranial MRI in 46 patients, with only cranial MRV in 31 patients, and with cranial CT and MRV in 14 patients. Parenchymal lesions were detected in 333 (42.8%) female patients including 160 (49.3%) in the RHRF (+) group and 173 (38.1%) in the RHRF (-) group (
Demographic aspects and comparative data of cases with RHRF (+) and RHRF (-) are displayed in Table 1.
Table 1
Compared data of demographic and clinical aspects of groups.
Compared data | RHRF (-) | RHRF (+) | |||
Age | |||||
Years | % | % | <0.001 | ||
Mode of onset | |||||
Acute | 187a | 42 | 195b | 62 | |
Subacute | 150a | 34 | 82b | 26 | <0.001 |
Chronic | 110a | 25 | 38b | 12 | |
Clinical symptoms and signs | |||||
Isolated headache | 119 | 26 | 66 | 20 | 0.057 |
Headache | 387 | 85 | 282 | 87 | 0.523 |
Nausea and vomiting | 116 | 26 | 107 | 33 | 0.024 |
Epileptic seizures | 98 | 22 | 110 | 34 | <0.001 |
Visual field defect | 131 | 29 | 66 | 20 | 0.007 |
Focal neurological deficit | 72 | 16 | 81 | 25 | 0.002 |
Altered consciousness | 78 | 17 | 67 | 21 | 0.222 |
Cranial nerve palsies | 59 | 13 | 24 | 7 | 0.012 |
Radiological work-up | |||||
Cranial MRI | 23 | 5 | 23 | 7 | 0.492 |
Cranial MRV | 19 | 4 | 12 | 4 | |
Cranial MRI+MRV | 398 | 88 | 284 | 88 | |
Cranial CT+MRV | 10 | 2 | 4 | 1 | |
Number of sinuses involved | |||||
1 sinus | 230 | 51 | 143 | 44 | 0.281 |
2 sinuses | 148 | 33 | 126 | 39 | |
More than 2 sinuses | 75 | 16 | 55 | 17 | |
Involved sinuses | |||||
Isolated transverse sinuses | 122 | 27 | 78 | 24 | 0.369 |
Isolated sagittal sinuses | 66 | 15 | 44 | 14 | 0.697 |
Isolated sigmoid sinuses | 18 | 4 | 7 | 2 | 0.158 |
Isolated cortical veins | 8 | 2 | 11 | 3 | 0.147 |
Isolated jugular sinuses | 9 | 2 | 1 | 0 | 0.052 |
Isolated cavernous sinuses | 6 | 1 | 0 | 0 | 0.044 |
Transverse sinuses | 329 | 73 | 243 | 75 | 0.459 |
Sigmoid sinuses | 183 | 40 | 127 | 39 | 0.736 |
Sagittal sinuses | 157 | 35 | 134 | 41 | 0.057 |
Internal jugular vein | 71 | 16 | 47 | 15 | 0.655 |
Cortical veins | 13 | 3 | 16 | 5 | 0.134 |
Cavernous sinuses | 12 | 3 | 3 | 1 | 0.085 |
Parenchymal involvement | |||||
No lesion | 280a | 62 | 164b | 51 | 0.003 |
Infarction | 87a | 19 | 66a | 20 | |
Hemorrhagic infarction | 68a | 15 | 80b | 25 | |
Intracerebral hemorrhage | 18a | 4 | 14a | 4 |
MRI: magnetic resonance imaging; MRV: magnetic resonance venography; CT: computed tomography.
A positive previous history of venous thromboembolism and malignancy was detected in 6% and 7% in the RHRF (-) group. Hematological parameters were completed in 206 (26.5%) patients, and no differences were detected between the two groups. When the RHRF (+) group was investigated, it was found to be the largest group in the puerperium period (43.8%) but the smallest group in the pregnancy period (22.8%). Rankin scores, which suggested neurological disability after 12 months, were found significantly high in the RHRF (-) group. Etiological factors and outcome according to groups are presented in Table 2.
Table 2
Comparison of etiological factors and outcome according to the RHRF (-) group or the RHRF (+) group.
Compared data | RHRF (-) | RHRF (+) | |||
Infections | |||||
Paracranial (focal) systemic | 20 | 4 | 13 | 4 | 0.963 |
7 | 2 | 5 | 2 | ||
History of VTE | |||||
Cerebral | 11a | 2 | 2a | 0.6 | |
Deep venous thrombosis | 14a | 3 | 3b | 1 | 0.024 |
Other | 6a | 1 | 2a | 0.6 | |
Malignancy | 32 | 7 | 1 | 0.3 | <0.001 |
Family history VTE | 5 | 1 | 1 | 0.3 | 0.409 |
MTHFR mutation | |||||
Heterozygote | 19 | 7 | 9 | 4 | 0.120 |
Homozygote | 24 | 8 | 9 | 4 | |
Hyperhomocysteinemia | 12 | 3 | 9 | 3 | 0.952 |
Prothrombin mutation | 5 | 2 | 7 | 3 | 0.249 |
Protein C/S deficiency | 25 | 7 | 13 | 5 | 0.302 |
Factor V Leiden mutation | 11 | 4 | 11 | 5 | 0.405 |
Thrombocytosis | 2 | 0.5 | 2 | 1 | 0.753 |
Polycythemia vera | 3 | 1 | 0 | 0 | 0.267 |
Anticardiolipin Ab | 2 | 0.5 | 1 | 0.4 | 0.752 |
PAI mutation | 4 | 1 | 2 | 1 | 0.681 |
Antithrombin III deficiency | 3 | 1 | 1 | 0.4 | 0.642 |
Hyperfibrinogenemia | 0 | 0 | 2 | 1 | 0.178 |
Antiphospholipid Ab | 7 | 2 | 4 | 2 | 0.767 |
Activated protein C | 5 | 1 | 4 | 2 | 0.892 |
Resistance | 13 | 4 | 4 | 2 | 0.114 |
High ANA titers | |||||
First month Rankin | |||||
0-1 | 304 | 80 | 236 | 81 | 0.276 |
2 | 40 | 11 | 37 | 13 | |
>3 | 38 | 10 | 20 | 7 | |
Third month Rankin | |||||
0-1 | 287 | 89 | 227 | 91 | |
2 | 21 | 7 | 17 | 7 | 0.235 |
>3 | 15 | 5 | 5 | 2 | |
Sixth month Rankin | |||||
0-1 | 262 | 90 | 215 | 96 | |
2 | 16 | 6 | 6 | 3 | 0.061 |
>3 | 13 | 5 | 4 | 2 | |
12th month Rankin | |||||
0-1 | 239 | 91 | 185 | 97 | |
2 | 11 | 4 | 4 | 2 | 0.031 |
>3 | 13 | 5 | 2 | 1 |
ANA: antinuclear antibody; MTHFR: methylenetetrahydrofolate reductase; PAI: plasminogen activator inhibitor; VTE: venous thromboembolism.
The mean age of OC users was higher than other groups. The mode of acute clinical onset was high in all subgroups of RHRF (+) cases. In addition, chronic onset and intracerebral hemorrhage ratio were found more frequently in the OC user group than in the other subgroups. Epileptic seizures were found to be significantly higher in the puerperium group. Demographic and clinical characteristics of subgroup analyses are shown in Table 3.
Table 3
Comparison of demographic and clinical characteristics of subgroups according to reproductive health-related risks.
Compared data of reproductive health-related risk factors | Pregnancy | Puerperium | Oral contraceptive use | ||||
Age | |||||||
Years | <0.001 | ||||||
Mode of onset | |||||||
Acute | 51a | 70 | 85a | 62 | 59a | 56 | |
Subacute | 14a | 19 | 42a | 31 | 26b | 25 | <0.030 |
Chronic | 8a,b | 11 | 10b | 7 | 20a | 19 | |
Clinical symptoms and signs | |||||||
Isolated headache | 16 | 22 | 24 | 17 | 26 | 24 | 0.361 |
Headache | 69 | 93 | 117 | 82 | 96 | 89 | 0.062 |
Nausea and vomiting | 22 | 30 | 43 | 30 | 42 | 39 | 0.283 |
Epileptic seizures | 18a | 24 | 63b | 44 | 29a | 27 | 0.002 |
Visual field defect | 17 | 23 | 28 | 20 | 21 | 19 | 0.817 |
Focal neurological | 11 | 15 | 41 | 29 | 29 | 27 | 0.068 |
Deficit | 16 | 22 | 34 | 24 | 17 | 16 | 0.277 |
Altered consciousness | 6 | 8 | 8 | 6 | 10 | 9 | 0.537 |
Cranial nerve palsies | |||||||
Radiological workup | |||||||
Cranial MRI | 4 | 6 | 12 | 9 | 7 | 7 | 0.975 |
Cranial MRV | 3 | 4 | 6 | 4 | 3 | 3 | |
Cranial MRI+MRV | 65 | 89 | 122 | 86 | 97 | 90 | |
Cranial CT+MRV | 1 | 1 | 2 | 1 | 1 | 1 | |
Number of sinuses involved | |||||||
1 sinus | 35 | 47 | 68 | 48 | 40 | 37 | 0.490 |
2 sinuses | 26 | 35 | 51 | 36 | 49 | 45 | |
More than 2 sinuses | 13 | 18 | 23 | 16 | 19 | 18 | |
Involved sinuses | |||||||
Isolated transverse | 21 | 28 | 34 | 24 | 23 | 21 | 0.547 |
Sinuses | 11 | 15 | 20 | 14 | 13 | 12 | 0.838 |
Isolated sagittal | 2 | 3 | 3 | 2 | 2 | 1 | 0.926 |
Sinuses | 1 | 1 | 9 | 6 | 1 | 1 | 0.051 |
Isolated sigmoid | 0 | 0 | 1 | 1 | 0 | 0 | 0.526 |
Sinuses | 0 | 0 | 0 | 0 | 0 | 0 | — |
Isolated cortical veins | 57 | 77 | 99 | 70 | 87 | 81 | 0.132 |
Isolated jugular sinus | 30 | 41 | 53 | 37 | 44 | 41 | 0.830 |
Isolated cavernous | 25 | 34 | 60 | 42 | 49 | 45 | 0.284 |
Sinuses | 13 | 18 | 17 | 12 | 17 | 16 | 0.490 |
Transverse sinuses | 2 | 3 | 11 | 8 | 3 | 3 | 0.120 |
Sigmoid sinuses | 0 | 0 | 2 | 1 | 1 | 1 | 0.798 |
Sagittal sinuses | |||||||
Internal jugular vein | |||||||
Cortical veins | |||||||
Cavernous sinuses | |||||||
Parenchymal involvement | |||||||
No lesion | 48a | 65 | 63b | 44 | 53b | 49 | 0.002 |
Infarction | 12a | 16 | 37a | 26 | 17a | 16 | |
Hemorrhagic | 12a | 16 | 40a | 28 | 28a | 26 | |
Infarction | 2a | 3 | 2a | 1 | 10b | 9 | |
Intracerebral | |||||||
Hemorrhage |
MRI: magnetic resonance imaging; MRV: magnetic resonance venography; CT: computed tomography.
A history of deep venous thrombosis ratio was found high in the pregnancy group. Hematologic and genetic tests and Ranking scales were similar among the groups. A comparison of etiological factors and outcomes of subgroups is seen in Table 4.
Table 4
Etiological factors and outcome of subgroups according to reproductive health-related risks.
Compared data of reproductive health-related risk factors | Pregnancy | Puerperium | Oral contraceptive use | ||||
% | |||||||
Infections | |||||||
Paracranial (focal) | 2 | 3 | 4 | 3 | 7 | 7 | 0.589 |
Systemic | 1 | 1 | 3 | 2 | 1 | 1 | |
History of VTE | |||||||
Cerebral | 0a | 0 | 1a | 1 | 1a | 1 | |
Deep venous thrombosis | 3a | 4 | 0b | 0 | 0b | 0 | 0.030 |
Other | 0a | 0 | 2a | 1 | 0a | 0 | |
Malignancy | 0 | 0 | 1 | 1 | 0 | 0 | 0.526 |
Family history VTE | 1 | 1 | 0 | 0 | 0 | 0 | 0.228 |
MTHFR mutation | |||||||
Heterozygote, homozygote | 1 | 2 | 5 | 5 | 3 | 5 | 0.385 |
Hyperhomocysteinemia | 1 | 2 | 7 | 7 | 1 | 2 | 0.204 |
Prothrombin mutation | 0 | 0 | 5 | 4 | 4 | 5 | 0.240 |
Protein C/S deficiency | 0 | 0 | 3 | 3 | 4 | 6 | 0.361 |
Factor V Leiden mutation | 3 | 5 | 8 | 7 | 2 | 2 | 0.335 |
Thrombocytosis | 4 | 9 | 3 | 3 | 4 | 6 | 0.716 |
Polycythemia vera | 1 | 2 | 1 | 1 | 0 | 0 | 0.241 |
Anticardiolipin Ab | 0 | 0 | 0 | 0 | 0 | 0 | — |
PAI mutation | 0 | 0 | 1 | 1 | 0 | 0 | 0.517 |
Antithrombin III deficiency | 0 | 0 | 1 | 1 | 1 | 2 | 0.718 |
Hyperfibrinogenemia | 0 | 0 | 0 | 0 | 1 | 1 | 0.568 |
Antiphospholipid Ab | 2 | 3 | 0 | 0 | 0 | 0 | 0.057 |
Activated protein C | 1 | 2 | 3 | 3 | 0 | 0 | 0.362 |
Resistance | 1 | 2 | 1 | 1 | 2 | 2 | 0.821 |
High ANA titers | 0 | 0 | 4 | 4 | 0 | 0 | 0.122 |
First month Rankin | |||||||
0-1 | 49 | 78 | 102 | 78 | 85 | 86 | 0.177 |
2 | 7 | 11 | 18 | 14 | 12 | 12 | |
>3 | 7 | 11 | 11 | 8 | 2 | 2 | |
Third month Rankin | |||||||
0-1 | 45 | 92 | 103 | 89 | 79 | 94 | |
2 | 3 | 6 | 10 | 9 | 4 | 5 | 0.828 |
>3 | 1 | 2 | 3 | 3 | 1 | 1 | |
Sixth month Rankin | |||||||
0-1 | 44 | 96 | 100 | 94 | 71 | 97 | |
2 | 1 | 2 | 4 | 4 | 1 | 1 | 0.937 |
>3 | 1 | 2 | 2 | 2 | 1 | 1 | |
12th month Rankin | |||||||
0-1 | 34 | 97 | 87 | 95 | 64 | 100 | |
2 | 1 | 3 | 3 | 3 | 0 | 0 | 0.409 |
>3 | 0 | 0 | 2 | 2 | 0 | 0 |
ANA: antinuclear antibody; MTHFR: methylenetetrahydrofolate reductase; PAI: plasminogen activator inhibitor; VTE: venous thromboembolism.
4. Discussion
Pregnancy, puerperium, and hormone replacement treatment increase the tendency to cerebral venous sinus thrombosis (CVST) in women. CVST is much more frequently seen in women than in men -a ratio of 3/1 [6]. In the study of Coutinho et al., female ratio was found to be 75% and female gender-specific risk factors at 65% [4]. In the International Study on Cerebral Venous and Dural Sinus Thrombosis (ISCVST), the female ratio was found to be 75% of patients. Gender-specific risk factors such as OCs, pregnancy, puerperium, and hormone replacement therapy were responsible [7]. The results of meta-analyses showed that gender-specific risk factors were only not effective in children and the elderly female groups and that the use of OCs increased venous thrombosis development in reproductive age females [8]. In our study, the female ratio was found to be 68% and gender-specific risks which were grouped as RHRF (+) by us were found in 41% of women. Our findings are similar to the results of previous studies.
In our study, the mean age of women with reproductive health-related risk factors (RHRF) was lower than that of the RHRF (-) group. In subgroup analyses of RHRF (+) cases, the mean age of OC users was higher than that of the other groups. This difference may be related to planning of the age of pregnancy [3].
Previous venous thrombosis history, thrombophilia, certain medical comorbidities, obesity, smoking, and postpartum hemorrhage increase the risk of CVST [9, 10]. In our study, the highest part of the RHRF (+) group consisted of cases of puerperium. Puerperium often occurs in the sixth to eighth week after delivery. In different population-based case-control studies on venous thrombosis, it was explained that risk increased 5-fold in the pregnancy period and a 60-fold in the puerperium [11]. Also, it has been reported that it occurs more commonly after a cesarean birth than a vaginal birth [12]. Infection, high maternal age and excessive vomiting during pregnancy increase the development of CVST [13]. All of the hormone levels, cardiovascular system, and pregnancy-related hematologic changes return to the baseline state within the slow process of puerperium. Human chorionic gonadotropin (hCG) and sex steroids are at low levels for the first 2-3 weeks. These changes may cause the tendency to thrombosis [14–16].
In our study, headache was the most frequent symptom for all subgroups. However, epileptic seizures were higher in the puerperium group. In the study of Kashkoush et al., the highest frequencies of symptom were found to be headache (74%), seizure (50%), and an altered consciousness (45%) in puerperium [17].
The inherited mutations in anticoagulant or thrombolytic factors genes (the Factor V Leiden, the prothrombin Factor II) and mutations in genes coding for proteins C and S may increase the risk of developing venous thrombosis [18]. We did not find any relationship between inherited risk factors and CVST.
Venous thrombosis risk increases with OC use. Combined OCs containing estrogen and progesterone have higher risk [19]. When the patient has a history of previous CVST, the recurrence risk is increased by OC use [20, 21]. We did not determine the content of the OCs. In the RHRF (-) group, a previous history of CVST was high. In the subgroup analysis, a previous history of CVST was high in the “pregnancy group.” Very little is known about the relapse rate during pregnancy and puerperium in women with a history of CVST [22]. The results of our study suggest that physicians must keep in mind the possible recurrence of CVST in pregnancy.
In our study, malignancy was more frequent in the RHRF (-) group. It has been reported that cancer patients have an increased risk of tendency of venous thrombosis [23].
In the study by Lee et al., it has been reported that the transverse sinus is involved in the majority of cases (75.6%). Sigmoid sinus and superior sagittal sinus involvement followed it at ratios of 58.5% and 29.3%, respectively [24]. In our study, the “transverse sinus” was affected more than other venous sinuses. On the other hand, isolated cavernous sinus involvement was significantly high in RHRF (-) group. Cavernous sinus involvement is high in the presence of septicemia and malignancy [25]. Therefore, in our study, this result was expected to be more in the RHRF (-) group.
It has been reported that the prognosis in pregnant patients is better than in nonpregnant patients with CVST if they receive timely treatment [26]. In the VENOST main study, the prognosis of CVST was found to be better in women than men [1]. In our subgroup analysis, the prognosis was found to be worse in the RHRF (-) group.
5. Conclusions
Our results indicate that when CVST was detected in women with RHFR (-), the existence of malignancy should be investigated. The previous history of CVST may be related to recurrence in pregnancy. Clinical onset may present with chronic headache in CSVT cases related to OC use. Epileptic seizures may be a more frequent symptom in puerperal CSVT cases. Physicians must keep these situations in mind.
Authors’ Contributions
Sevki Sahin and Taskin Duman have contributed equally.
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Abstract
Background. Early diagnosis of cerebral venous sinus thrombosis (CVST) associated with reproductive health-related risk factors (RHRF) including pregnancy, puerperium, and oral contraceptive (OC) use can prevent severe neurological sequelae; thus, the symptoms must be documented in detail for each group. Methods. Out of 1144 patients with CVST, a total of 777 women were enrolled from a multicenter for the study of cerebral venous sinus thrombosis (VENOST). Demographic, biochemical, clinical, and radiological aspects were compared for 324 cases with RHRF and 453 cases without RHRF. Results. The mean age of the RHRF (-) group (43.2 ± 13 years) was significantly higher than of the RHRF (+) group (
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1 School of Medicine, Department of Neurology, Istanbul Cerrahpasa University, Istanbul, Turkey
2 School of Medicine, Department of Neurology, Maltepe University, Istanbul, Turkey
3 School of Medicine, Department of Neurology, Mustafa Kemal University, Hatay, Turkey
4 Selcuk University, School of Medicine, Department of Neurology, Konya, Turkey
5 University of Health Science, Hamidiye School of Medicine, Sadi Konuk Research and Training Hospital, Department of Neurology, Istanbul, Turkey
6 Acibadem University, School of Medicine, Department of Neurology, Istanbul, Turkey
7 Osmangazi University, School of Medicine, Department of Neurology, Eskisehir, Turkey
8 Marmara University, School of Medicine, Department of Neurology, Istanbul, Turkey
9 Duzce University, School of Medicine, Department of Biostatistics, Duzce, Turkey
10 University of Health Science, Hamidiye School of Medicine, Erenkoy Research and Training Hospital for Neurologic and Psychiatric Diseases, Department of Neurology, Istanbul, Turkey
11 University of Health Science, Hamidiye School of Medicine, Haydarpasa Training and Research Hospital, Department of Neurology, Istanbul, Turkey
12 Uludag University, School of Medicine, Department of Neurology, Bursa, Turkey
13 Nemettin Erbakan University, School of Medicine, Department of Neurology, Konya, Turkey
14 Usak University, School of Medicine, Department of Physical Medicine and Rehabilitation, Usak, Turkey
15 Antalya Research and Training Hospital, Clinic of Neurology, Antalya, Turkey
16 University of Health Science, Hamidiye School of Medicine, Sultan Abdulhamid Han Research and Training Hospital, Department of Neurology, Istanbul, Turkey
17 Suleyman Demirel University, School of Medicine, Department of Neurology, Isparta, Turkey
18 Dicle University, School of Medicine, Department of Neurology, Diyarbakır, Turkey
19 Sancaktepe Research and Training Hospital, Clinic of Neurology, Istanbul, Turkey
20 Sultan Abdulhamid Research and Training Hospital, Clinic of Neurology, Istanbul, Turkey
21 Kocatepe University, School of Medicine, Department of Neurology, Afyon, Turkey
22 Istanbul University, School of Medicine, Department of Neurology, Istanbul, Turkey
23 Bozyaka Education, Research and Traning Hospital, Clinic of Neurology, Izmir, Turkey
24 Gazi University, School of Medicine, Department of Neurology, Ankara, Turkey
25 Ataturk Research and Training Hospital, Clinic of Neurology, Ankara, Turkey
26 Bulent Ecevit University, School of Medicine, Department of Neurology, Zonguldak, Turkey
27 Firat University, School of Medicine, Department of Neurology, Elazig, Turkey
28 Sutcu Imam University, School of Medicine, Department of Neurology, Kahramanmaras, Turkey
29 Recep Tayyip Erdogan University, School of Medicine, Department of Neurology, Rize, Turkey
30 Bilim University, School of Medicine, Department of Neurology, Istanbul, Turkey
31 Istanbul Research and Training Hospital, Clinic of Neurology, Istanbul, Turkey
32 Mersin University, School of Medicine, Department of Neurology, Mersin, Turkey
33 Sadi Konuk Research and Training Hospital, Clinic of Neurology, Istanbul, Turkey
34 Yuzuncu Yil University, School of Medicine, Department of Neurology, Van, Turkey
35 Mayo Clinic, College of Medicine, Department of Neurology, Rochester, MN., USA
36 Bakirkoy Prof. Dr. Mazhar Osman Mental Health and Neurology Training and Research Hospital, Clinic of Neurology, Istanbul, Turkey
37 Inonu University, School of Medicine, Department of Neurology, Malatya, Turkey
38 Baskent University, School of Medicine, Department of Neurology, Ankara, Turkey
39 Akdeniz University, School of Medicine, Department of Neurology, Antalya, Turkey
40 Maltepe Government Hospital, Clinic of Neurology, Istanbul, Turkey