Variables | OCD (n=39) | Control (n=37) | ||
Left Frontal | Mean Rank | Mean Rank | U score | Sig. 2-tailed |
3 moves Amplitude | 41.87 | 34.95 | 590.000 | .172 |
3 moves Latency | 21.91 | 55.99 | 74.500 | .001 |
4 moves Amplitude | 41.44 | 35.41 | 607.000 | .234 |
4 moves latency | 38.73 | 38.26 | 712.500 | .925 |
5 moves Amplitude | 38.27 | 38.74 | 699.000 | .815 |
5 moves latency | 42.56 | 34.22 | 563.000 | .099 |
6 moves Amplitude | 40.41 | 36.49 | 647.000 | .439 |
6 moves Latency | 39.95 | 36.97 | 665.000 | .557 |
Total Amplitude | 38.44 | 38.57 | 719.000 | .979 |
Total Latency | 39.44 | 37.51 | 685.000 | .704 |
Investigations | Outcome |
Trio whole exome sequencing
|
two de novo likely pathogenic variants in ADAMTS10: c.1174delC, p.H392TfsX9 and a deletion of exons 3-8 |
Neuromuscular ultrasound bilateral wrists |
pre-operative (Figure 2):
|
Nerve Conduction Studies |
pre-operative:
|
MRI of the right wrist |
pre-operative (Figure 3):
|
Dataset Variation | Model Type | Balanced Accuracy | F1 Score | Sensitivity | Specificity |
Imaging Metrics Only |
LR | 0.464 | 0.400 | 0.500 | 0.429 |
RFC | 0.616 | 0.462 | 0.375 | 0.857 | |
SVC | 0.643 | 0.533 | 0.500 | 0.786 | |
Clinical Metrics Only |
LR | 0.634 | 0.556 | 0.625 | 0.643 |
RFC | 0.670 | 0.588 | 0.625 | 0.714 | |
SVC | 0.732 | 0.667 | 0.750 | 0.714 | |
Combined Metrics |
LR | 0.795 | 0.737 | 0.875 | 0.714 |
RFC | 0.821 | 0.762 | 1.000 | 0.643 | |
SVC | 0.830 | 0.778 | 0.875 | 0.786 |
1. Fehlings, M. G. et al. A global perspective on the outcomes of surgical decompression in patients with cervical spondylotic myelopathy: results from the prospective multicenter AOSpine international study on 479 patients. Spine 40, 1322–1328 (2015).
2. Nouri, A., Tetreault, L., Singh, A., Karadimas, S. K. & Fehlings, M. G. Degenerative Cervical Myelopathy: Epidemiology, Genetics, and Pathogenesis. Spine 40, E675-93 (2015).
3. Davies, B. M., Mowforth, O. D., Smith, E. K. & Kotter, M. R. Degenerative cervical myelopathy. BMJ 360, k186 (2018).
Frontal | Temporal | Parietal | Occipital | Cerebellar | Others | |
---|---|---|---|---|---|---|
Voxel-based Studies (Primarily GM) (N=15) |
8/15 | 4/15 | 6/15 | 5/15 | 5/15 | 5/15 (e.g. Thalamus, Caudate) |
Diffusion-based Studies (WM) (N=16) |
4/16 | 3/16 | 1/16 | 1/16 | - | 14/16 (WM blundles e.g. Corpus Callosum, Corona Radiata) |
fMRI Studies (N=13) |
7/13 | 7/13 | 6/13 | 1/13 | - | 6/13 (e.g. Cingulate, Caudate) |
CMB Studies (N=2) | - | - | - | - | - | 1/2 (Infratentorial) |
Hippocampal Shape/Volume Analyses (N=3) | - | 3/3 | - | - | - | - |
Brain Volume & Cortical Thickness Studies (N=3) | - | 1/3 | - | - | - | 2/3 |
Number of studies reporting significant decline | |
Visuomotor | 2/9 (22%) |
Attention | 7/17 (41%) |
Working Memory | 3/7 (43%) |
Verbal Memory | 2/10 (20%) |
Non-Verbal Memory | 2/7 (29%) |
General Memory | 3/7 (43%) |
Executive Function | 3/13 (23%) |
Processing Speed | 2/10 (20%) |
Language Skills | 4/7 (57%) |
Global Cognition | 4/10 (40%) |
Studies with patients <5 year since cancer dx (on average) |
Studies with patients >=5 year since cancer dx (on average) |
Studies with varied time since cancer dx (i.e. included incidental cases) | |
Found lower risk of dementia | 4 | 4 | 5 |
Found higher risk of dementia | - | 4 | - |
Found no association | - | 2 | 1 |
To assess the utility of using emergency department data for understanding the relationship between air pollution and migraine.
Non-probablily online survey of ER use for migraine in Canada and the USA. Analyzed in R [2].
Variable
|
N = 3711
|
Age
|
43 (13, 77)
|
Country
|
|
Canada
|
159 (43%)
|
USA
|
212 (57%)
|
Ever diagnosed by a doctor
|
366 (99%)
|
Doctor who diagnosed migraine
|
|
ER doctor
|
2 (0.5%)
|
Family doctor, general practitioner (GP), or Primary Care Physician (PCP)
|
107 (29%)
|
Headache specialist
|
44 (12%)
|
Neurologist
|
210 (57%)
|
Not diagnosed
|
5 (1.3%)
|
Other - All of the above, Ophthalmologist, Psychiatrist
|
3 (0.8%)
|
Went to ER for migraine in the past 12 months
|
167 (45%)
|
1Mean (Range); n (%)
|
Reason for attending ER
|
Canada, N = 1411
|
USA, N = 1631
|
Sent by a medical professional
|
17 (12%)
|
30 (18%)
|
Unbearable pain
|
103 (73%)
|
123 (75%)
|
Worried about symptoms other than pain
|
42 (30%)
|
52 (32%)
|
Vomiting too much or feeling too sick to eat or drink
|
33 (23%)
|
54 (33%)
|
Attack felt like something other than a migraine
|
32 (23%)
|
46 (28%)
|
No other place to see a doctor quickly enough
|
18 (13%)
|
11 (6.7%)
|
Other - Needed medicines available at ER
|
6 (4.3%)
|
5 (3.1%)
|
Other - Attack was too long
|
8 (5.7%)
|
6 (3.7%)
|
1n (%)
|
Reason for not attending ER
|
Canada, N = 621
|
USA, N = 751
|
Did not need to go to emergency room
|
13 (21%)
|
27 (36%)
|
Avoid long wait time, bright lights, noises and other discomforts
|
50 (81%)
|
51 (68%)
|
Got medical help somewhere else
|
7 (11%)
|
7 (9.3%)
|
Attack ended or got better
|
13 (21%)
|
26 (35%)
|
Too hard to get to ER
|
6 (9.7%)
|
14 (19%)
|
Too expensive
|
0 (0%)
|
30 (40%)
|
Avoid exposure to COVID-19 or other infectious illnesses
|
19 (31%)
|
11 (15%)
|
Other - Fear of or previous experience of ineffective medical treatment
|
2 (3.2%)
|
5 (6.7%)
|
Other - Fear of or previous experience of unkind treatment from staff at ER
|
1 (1.6%)
|
4 (5.3%)
|
1n (%)
|
Progressive supranuclear palsy (PSP) is a neurodegenerative disease classically presenting with parkinsonism, vertical gaze palsy, and cognitive decline.1 Since its initial description in 1964 (Steele-Richardson-Olszewski), multiple subtypes have been described.2 Postural instability is a common symptom of PSP.3 Spontaneous retropulsion involves loss of balance without external provocation. Others have reported on retropulsion in the clinical setting while testing for postural instability,4, 5 but rates of spontaneous retropulsion in the community have not been described.
Clinical diagnostic accuracy of PSP approaches 80%6 with the most recent diagnostic criteria boasting a sensitivity and specificity of 88% and 86%2 respectively. Despite increasing accuracy of recent diagnostic criteria, 20% of PSP diagnoses are incorrect6 which impacts clinical reports in the PSP literature. Most studies use patients with clinical diagnoses of PSP without pathological confirmation. Definite diagnosis of PSP requires brain autopsy, and studies with autopsy confirmed PSP therefore provide the highest degree of diagnositc accuracy.
This study aims to report on the prevalence of spontaneous retropulsion in PSP, and identify variables that may be associated with that phenomenon. The data for this study was gathered exclusively from the charts of patients with clinical and pathology-confirmed PSP.
All PSP cases assessed at the Saskatchewan Movement Disorders Program (SMDP) clinics between 1968 and 2022 with brain autopsy were considered. A retrospective chart review examined 60 patients from the SMDP with clinical and pathology-confirmed diagnosis of PSP. Information regarding patient falls were collected at each clinic visit. We identified patients who endorsed spontaneous retropulsion. The data was analysed with univariate logistic regression.
Every patient assessed in clinic has a choice of autopsy study at no cost to the family or the estate of the patient. Regardless of the wish of the patients, the autopsy decision is made by the next-of-kin after death of the individual. Movement disorders neurologists are on 24/7 call for autopsy. Typically, the neurologist is contacted by the family/caregiver soon after the death to inform that the family wants an autopsy study.
The neurologist secures autopsy consent and arranges coordination between family, funeral home and pathology department to ensure that the autopsy is done within 24 hours of death. Immediately after the autopsy, the brain is divided at midline. One-half is frozen at -80oC. The other half is fixed in formalin and studied by a Canadian certified neuropathologist. Final diagnosis is made by the treating neurologist, considering the clinical information and pathology findings.
This study included 43 males and 17 females. Spontaneous retropulsion was reported in 18 (30%) patients. For categorical and continuous variables, chi-squared and Mann Whitney U tests were conducted respectively. Among the variables, only sex showed a statistical significance (p = 0.0184) with females more likely to report spontaneous retropulsion (OR = 4.25). Other variables (PSP onset age, onset age of balance impairment, gait impairment, and disease duration) were not statistically significant. Multivariate analysis was performed but did not identify significant findings.
Our data suggest that spontaneous retropulsion is common in PSP (30% of our patients), with females being at a significantly higher risk than males. This is useful information when counselling patients on risk-avoidance behaviour to prevent falls. It may also help with selection of ambulatory devices and influence the training of patients to use these devices to compensate for the risk of spontaneous retropulsion.
To analyze the accuracy of video and telephone consultations in the setting of an outpatient neurology clinic when compared to in person assessments.
Neurological Disease | % with Disease (N=1036) | % DISP Among Patients with Disease |
MS | 69.0% (n=715) | 15.5% (n=111) |
Other Inflammatory | 12.0% (n=124) | 12.1% (n=15) |
Migraines/Headaches/ Seizures/Epilepsy |
6.27% (n=65) | 1.54% (n=1) |
Movement | 5.50% (n=57) | 14.0% (n=8) |
Cognitive | 0.68% (n=7) | 28.6% (n=2) |
Other | 6.56% (n=68) | 8.82% (n=6) |
Table 1. Prevalence of Neurological Disease in Patient Cohort. The percentage of patients with neurological disease and the percentage of those patients with clinical disparities (DISP)
We interviewed five (5) stroke patients and their families to understand the patient experience of lumbar punctures. Patients are experts in how they experience health care and interactions with health care practitioners. From their stories, we learned valuable lessons on how LPs can be done in a more patient-centred way.
“So verbal communication when you're doing it is definitely a way to put patients at ease…. You know those kind of reassuring things are very important to the patient.”
– Sandy, LP Patient
“This is years later, so it just strikes me as as it's it is really important that if you can't get it right right away, don't try and force the issue right…. Either try something a little bit different, or get someone to help and maybe tell the person that's laying on the table.”
– Jim, LP Patient
“as she told me about the procedure that was going to happen and all the stuff she do it was every time she'd say something she's gonna do she said we'll try to do it or I should be able to do this and so the more she said that the more it like freaked me out it's so it's like why is she saying she should be able to do it umm so words matter in terms of how it's specifically attended to”
- Bailey, LP patient
We developed an LP teaching module that featured 9 Standardized Patients of different body size, genders, ages, and skin colours in an attempt to demonstrate how different bodies require different considerations when performing a lumbar puncture.
The module consists of instructional videos and images of spinous processes painted across 9 different standardized patients in order to demonstrate the different approaches to an LP and the difference in anatomical structures. (Click to move through image slideshow.)
Recruited participants were asked to rate the web tool according to the Systems Usability Score (SUS), Acceptability of Intervention Measure (AIM), and Intervention Appropriateness Measure (IAM).
Age (years) | 31-40 | 51-60 | 60+ | ALL (Range) |
---|---|---|---|---|
Count | 5 | 5 | 1 | 11 |
Average Time spent on Web Tool (min) | 8 | 20 | N/A | 15 (5-20) |
Average Systems Usability Score | 67 | 66 | N/A | 66.1 (42.5-90) |
Demographic Data
Shifts in ISI Daytime Function Items
Safety
Study Design and Data Sources
Analysis of FAERS
Analysis of JADER
Analysis of Eisai Global Postmarketing Safety Surveillance System
Aim: To evaluate gender disparities in CIHR funding decisions for Canadian neurology divisions and departments
Outcomes:
This poster aims to review RCTs leading to neurological drug approval by the FDA for their use of accurate sex and gender terminology and the incorporation of sex and gender into study design and discussion.
Table 1: Study characteristics (N = 216) | |||
Year published | n | Median no study sites | IQR |
1985-1994 | 14 | 46.5 | 55 |
1995-2004 | 74 | ||
2005-2014 | 58 | Median sample size | IQR |
2015-2024 | 71 | 294 | 545 |
Funding source | n | Sub-specialty | n |
Government | 3 | Epilepsy | 55 |
Industry | 200 | Movement | 39 |
Industry and non-profits | 1 | Headache | 34 |
Federal funding and non-profits | 1 | Autoimmune | 31 |
Foundation | 1 | Other | 57 |
Not reported | 9 |
Figure 2: Proportion of trials reporting sex or gender distributions relative to primary outcomes, adverse events, deaths, or any outcome or including sex or gender in their discussion sections (5 figures).
Regarding study design:
Regarding sex and gender terminology:
Despite extensive research demonstrating the importance of sex-specific analyses and the obligation to consider sex as a biological variable for access to NIH funding since 2016, there has been no significant change (p>0.05) in the quality of reporting or analysis of sex or gender in therapeutic trials in neurology. Given the private funding model of most RCTs, drug approval-level requirements may be more effective to correct these shortcomings.
CSC1 N = 436 |
CSC2 N = 674 |
|
By pass protocol | n = 352 | n = 516 |
Did not meet time- based criteria | 48 (13.6) | 88 (17.1) |
Did not meet symptom-based criteria: had no facial weakness, motor weakness or speech difficulty | 9 (2.6) | 14 (2.7) |
Exclusions as per paramedic protocol | ||
CTAS 1 | 2 (0.6) | 9 (1.8) |
Symptoms of the stroke resolved prior to paramedic arrival or assessment | 18 (5.1) | 3 (0.6) |
Blood sugar <3 mmol/L | 1 (0.3) | 0 (0.0) |
Seizure at onset of symptoms or observed by paramedics. | 6 (1.7) | 6 (1.2) |
Glasgow Coma Scale <10 | 1 (0.3) | 11 (2.2) |
Terminally ill or palliative care patient. | 0 (0.3) | 4 (0.8) |
Duration of out of hospital transport will exceed two hours. | 1 (0.3) | 0 (0.0) |
More than one contraindication | 1 (0.3) | 5 (1.0) |
ED activated | n = 84 | n = 158 |
Within 6 hours of symptom onset | 44 | 101 |
Within 6-24 hours of symptom onset | 40 | 56 |
Exclusions as per ED activation protocol | ||
Time based exclusion (mismatch of last seen well between ED documentation and stroke team documentation) | 5 (6.0) | 25 (15.8) |
Symptom based exclusion (mismatch between ED documentation of symptoms vs. stroke team documentation) | 22 (26.2) | 25 (15.8) |
No symptoms in ED documentation | 6 (7.1) | 13 (8.2) |
CSC1 (n = 352) | CSC2 (n=674) | |||||
By-pass protocol* | Off criteria (n = 48) |
On Criteria (n = 304) |
P value | Off criteria (n = 88) |
On Criteria (n = 428) |
P value |
Thrombolysis | 2 (4.2) | 65 (21.4) | 0.003 | 3 (3.4) | 96 (22.4) | <0.001 |
Thrombectomy | 3 (6.3) | 33 (10.9) | 0.45 | 19 (21.6) | 44 (10.3) | 0.006 |
Thrombolysis or thrombectomy | 4 (8.3) | 81 (26.6) | 0.006 | 19 (21.6) |
113 (26.4) |
0.42 |
Thrombolysis and Thrombectomy | 1 (2.1) | 17 (5.6) | 0.49 | 3 (3.41) | 27 (6.3) | 0.45 |
Discharge disposition | 0.91 | 0.27 | ||||
Repatriated to another hospital | 21 (43.8) | 131 (43.1) | 47 (55.4) | 191 (44.6) | ||
Yes, to Stroke Unit | 19 (39.6) | 127 (41.8) | 39 (44.3) | 215 (50.2) | ||
Yes, but not for stroke | 8 (16.7) | 46 (15.1) | 2 (2.3) | 22 (5.1) | ||
In those repatriated to other hospital | ||||||
Median repatriation time (in hours) | 6.7 (3.2 – 11.0) | 5 (3-8) | 0.36 | 5.7 (3.4-7.8) | 4.5 (2.8-7.1) | 0.12 |
ED activated | Off criteria (n = 32) |
On Criteria (n = 52) |
P value | Off criteria (n =56) |
On Criteria (n =102) |
P value |
Thrombolysis | 0 (0.0) | 3 (5.8) | 0.28 | 2 (3.6) | 8 (7.8) | 0.50 |
Thrombectomy | 0 (0.0) | 6 (11.5) | 0.08 | 1 (1.8) | 8 (7.8) | 0.16 |
Thrombolysis or thrombectomy | 0 (0.0) | 7 (13.5) | 0.04 | 3 (5.4) | 13 (12.3) | 0.18 |
Thrombolysis and Thrombectomy | 0 (0.0) | 2 (3.9) | 0.52 | 0 (0.0) | 3 (2.94) | 0.55 |
Discharge disposition | 0.002 | 0.057 | ||||
Not admitted | 18 (56.3) | 10 (19.2) | 13 (23.2) | 11 (10.8) | ||
Yes, to Stroke Unit | 7 (21.9) | 26 (50.0) | 29 (51.8) | 70 (68.6) | ||
Yes, but not for stroke | 7 (21.9) | 16 (30.8) | 14 (25.0) | 21 (20.6) |
n= 58 |
||
Age at seizure start | 10.5 years (range:1.0-17.4) | |
Age at first adult centre visit | 18.5 years (range: 17.7-19.7 | |
Sex | Male | 31 (53.4%) |
Female | 27 (46.6%) | |
Seizure type | Focal | 27 (46.6%) |
Generalized | 28 (48.3%) | |
Focal and generalized | 2 (3.44%) | |
Unknown | 1 (1.72%) | |
Cognitive ability | Typical | 38 (64.4%) |
Learning Disabilities | 13 (22.0%) | |
Mild Intellectual Disorder | 5 (8.62%) | |
Unknown | 2 (3.44%) |
Mental Health
Follow-ups
Other Social Demographics
This was a descriptive, observational pilot study to assess the feasibility of performing this method of EEG analysis on a larger scale. Primary questions were the following:
Initially 20 cases were extracted with the following inclusion criteria:
Data collected:
Demographics/anasthetic: age, sex, injury etiology, weight, anasthetic (type, infusion rate, boluses)
EEG: strength and direction of functional connectivity using the weighted and directed phase lag index were extracted from 5-minute EEG epochs of EEG drug administration time and post sedation using 10-20 system with 21 channels with XLTEK / Natus system at 256 Hz
GCS: Glasgow Coma Scale (GSC) under anesthesia, GCS after sedation wean
Outcome: Glasgow Outcome Scale Extended (GOSE) three months after EEGEvaluation of 14 subjects (6 were excluded due to not having an overlap between anasthetic infusion and EEG timing) showed promise in children aged 5-18 undergoing sedation with midazolam, dexmedetomidine, and propofol. Further analysis of five subjects revealed a correlation between adaptive reconfiguration during anesthesia and both higher baseline Glasgow Coma Scale and Glasgow Outcome Scale-Extended scores post-treatment.
The initial stages of this pilot study offered promising outcomes, showing applicability of the model in a subset of the pediatric population, demonstrating potential of future use. While additional correlational analyses will be essential to assess the model's efficacy, prior to that, the current model needs to be refined for pediatric application. Future steps include the following:
Variable | n (%), n=54 |
---|---|
Age (years) at most recent ECG, median (IQR) | 6.4 (2.7-10.4) |
Female | 31 (57%) |
Generalized Tonic-Clonic Seizures (GTCS) | 39 (72%) |
Epilepsy presentation before 12 months | 45 (83%) |
Genes SCN1A 15 (28%) SCN2A 4 (7%) KCNT1 3 (6%) CDKL5 8 (15%) SCN8A 4 (7%) CACNA1A 2 (4%) SLC2A1 7 (13%) STXBP1 3 (6%) PPP3CA 1 (2%) MECP2 4 (7%) KCNQ2 3 (6%) |
SCN1A variant (n=15) |
Other gene variants (n=15) |
P value |
GTCS (n=39) |
No GTCS (n=15) |
P value | Epilepsy duration < 3 years (n=17) | Epilepsy duration ≥ 3 years (n=37) |
P value |
|
Age at ECG (years) | 6.5 (4.65-7.85) | 6.1 (4.55-8.20) | 0.442 | 7.4 (3-10.2) | 5.3 (2.15-9.55) | 0.265 | 0.75 (0.3-1.8) | 8.7 (6.3-11.8) | <0.001 |
Female, n (%) | 7 (46.7) | 10 (66.7) | 0.285 | 23 (59.0) | 8 (53.3) | 0.714 | 12 (70.6) | 19 (51.4) | 0.192 |
Heart Rate | 105 (97-126) | 106 (88-113.5) | 0.209 | 106 (94.5-123.5) | 103 (93-118) | 0.249 | 122 (118-135) | 99 (88-106) | <0.001 |
PR Interval | 120 (106-128) | 128 (115-133) | 0.110 | 122 (111-135) | 128 (120-131) | 0.246 | 118 (106-124) | 128 (120-136) | 0.005 |
QRS interval | 72 (65-78) | 72 (67-81) | 0.273 | 72 (63-82) | 72 (64-79) | 0.393 | 62 (60-72) | 74 (66-82) | 0.012 |
QTc interval | 392 (386.5-416.5) | 387 (374.5-411) | 0.155 | 404 (387.5-422) | 390 (378-410) | 0.056 | 417 (388-427) | 399 (382-418) | 0.118 |
P-wave axis | 48 (40-59) | 45 (37.5-53.5) | 0.267 | 49 (39.5-60.5) | 44 (32.5-48) | 0.044 | 48 (39-58) | 45 (38-58) | 0.401 |
QRS axis | 63 (47-82) | 78 (51-82) | 0.203 | 75 (60-88) | 61 (46-83) | 0.110 | 82 (56-99) | 70 (52-85) | 0.050 |
T-wave axis | 28 (23.5-39.0) | 22 (12-43) | 0.247 | 38 (24-54) | 25 (16-35) | 0.014 | 35 (20-47) | 35 (22-49) | 0.285 |
QTd | 0.05 (0.041-0.061) | 0.067 (0.035-0.081) | 0.347 | 0.05 (0.038-0.063) | 0.041 (0.038-0.052) | 0.151 | 0.052 (0.046-0.064) | 0.042 (0.036-0.060) | 0.046 |
QTCd | 0.064 (0.035-0.076) | 0.048 (0.041-0.078) | 0.492 | 0.06 (0.044-0.077) | 0.055 (0.034-0.069) | 0.116 | 0.060 (0.044-0.068) | 0.058 (0.040-0.080) | 0.451 |
Baseline | Post gene therapy | Post cardiac arrest | ||
Global developmental delay | Severe | Improved | Severe | |
Hypotonia | Severe | Improved | Severe | |
Dystonia | Generalized, severe | Improved | Generalized, severe | |
Oculogyric crisis | Frequent | Resolved | Infrequent | |
CSF studies | HVA nmol/L (ref) | 23 (450-1132) | Low normal | 27 (167-563) |
5HIAA nmol/L (ref) | 6 (179-711) | Low | 7 (67-189) | |
3OMD nmol/L (ref) | 1748 (<300) | 793 (<100) | ||
Genetics DDC | c.714+4A>T (IVS6+4A>T) homozygous |
Patient # | Δ Age | SMA Type | Ambulatory Status | Treatment | Scoliosis | Ventilation |
1 | 6 | 2 | Non-ambulatory | Yes | Yes | Non-invasive Bi-PAP |
103 | 5 | 3 | Ambulatory | Yes | No | None |
2 | 2 | 2 | Non-ambulatory | No | No | Non-invasive Bi-PAP |
32 | 1 | 2 | Non-ambulatory | Yes | Yes | None |
33 | 3 | 2 | Non-ambulatory | Yes | Yes | Non-invasive Bi-PAP |
74 | 6 | 2 | Non-ambulatory | Yes | Yes | None |
125 | 3 | 1 | Non-ambulatory | Yes | Yes | Non-invasive Bi-PAP |
58 | 4 | 3 | Ambulatory | Yes | No | None |
Patient # | T1 Generic | T1 NMD | T2 Generic | T2 NMD | Δ Generic | Δ NMD |
1 | 45.83 | 58.00 | 52.29 | 55.00 | 6.46 | -3.00 |
103 | 39.79 | 67.00 | 78.23 | 81.00 | 38.44 | 14.00 |
2 | 53.33 | 78.13 | 66.88 | 72.92 | 13.54 | -5.21 |
32 | 51.96 | 81.25 | 37.29 | 66.00 | -14.67 | -15.25 |
33 | 52.19 | 77.00 | 51.56 | 83.00 | -0.63 | 6.00 |
74 | 54.58 | 56.52 | 67.92 | 78.00 | 13.33 | 21.48 |
125 | 46.88 | 32.35 | 52.71 | 80.00 | 5.83 | 47.65 |
58 | 52.71 | 38.24 | 67.71 | 83.00 | 15.00 | 44.76 |
Eight patients completed the HRQoL assessment at two timepoints:
Timepoint 1:
Age: 9.0 (SD = 1.73)
Generic: 49.66 (SD=5.05)
Neuromuscular: 61.06 (SD=18.37)
Timepoint 2:
Age: 12.75 (SD = 2.54)
Generic: 59.32 (SD=13.08)
Neuromuscular: 74.86 (SD=9.88)
Overall Change:
Age: +3.75 (SD= 2.54)
Generic: +9.66 (SD=15.16)
Neuromuscular: +13.80 (SD=23.03)
Characteristics | Case 1 | Case 2 | Case 3 |
Age (years) | 24 | 16 | 13 |
Sex at birth | F | M | M |
Pre-existing neurodevelopmental disorder | No | ASD and developmental delay, chromosome 15q duplication syndrome | ASD |
Age (years) at CSWS diagnosis | 5 | 4 | 5 |
Onset of VNS therapy (age in years) | 10 | 6 | 8 |
Other treatment | Valproate Clobazam Clonazepam Keppra Lacosamide Steroids IVIG |
Tegretol Trileptal Valproic acid Clobazam Topamax Ethosuximide Lacosamide Fycompa Vigabatrin Family did not want steroids due to behavioural concerns |
Clobazam Valproic acid Lamotrigine Clonazepam Keppra Topamax Steroids IVIG |
EEG findings after VNS therapy |
- Almost no epileptiform discharge in the awake state - Ongoing brief discharges in sleep - Seizures captured in overnight EEG - focal from right hemisphere |
- Marked reduction in discharges within 17 months of VNS insertion and within 2 years continued improvement |
- Resolved CSWS within 6 months - still had abnormalities but markedly less frequent. - Pages with 1-2 discharges and some longer runs |
Clinical seizure post VNS | Infrequent seizures some clusters. Initially no medication but lacosamide started | Decreased seizures over time and eventually they stopped then recurred when he was a teenager | Very infrequent seizures |
Subjective cognitive outcomes | Language improved and she was more socially engaged. She was able to complete school on a special learning plan | Increased vocabulary | Remains nonverbal but is able to understand what is happening around him. Has been able to learn at school |
Group | Prevalence (%) | 95% C.I |
Overall | 9.3 | 4.9-14.9 |
Asymptomatic | 5.8 | 2.5-10.2 |
Symptomatic | 29.3 | 15.3-44.8 |
Modality | Asymptomatic vs Symptomatic | # of Studies | Total # of Studies | Total Prevalence (%) |
USG | Asymptomatic Symptomatic |
7 1 |
8 | 1.8 |
CT | Both Symptomatic |
1 1 |
2 | 32.2 |
MRI | Asymptomatic Symptomatic |
2 3 |
5 | 22.2 |
Multiple | Both Symptomatic |
1 4 |
5 | - |
Total Prevalence (%) | |
USG - Asymptomatic | 1.8 |
CT + MRI- Asymptomatic | 19.7 |
CT + MRI - Symptomatic | 29.3 |
Type of hemorrhage | Proportion (%) | 95% CI |
Extraaxial hemorrhage | 30 | 8 - 44 |
Germinal matrix hemorrhage | 24 | 4 - 38 |
Intraparenchymal hemorrhage | 21 | 3 - 35 |
Intraventricular hemorrhage | 14 | 1 - 29 |
Subarachnoid hemorrhage | 7 | 0 - 18 |
Multiple hemorrhage | 4 | 0 - 13 |
Sleep-wake states (SWS) affect the expression of interictal epileptiform discharges (“spikes”), which affects resultant source localization calculations used in epilepsy evaluation. We hypothesize that spike localizations from non-REM (NREM) sleep 1-3 are most concordant with one another. In this study, we chose 3-way concordance and hypothesized that REM should be the least 3-way concordant in any combination of 3 SWS in all 5 SWS.
We assessed the localization of epileptic generators during various sleep stages, including N1, N2, N3, rapid eye movement (REM) sleep, and wakefulness (W). The initial analysis involved the computation of the F-statistic parameter using Standardized low-resolution brain electromagnetic tomography (sLORETA) within Curry 8 software. The F-statistic represents the statistical probability of epileptic generator presence within specific voxels. A threshold was set to determine voxels likely to contain epileptic sources, defined as those with an F-statistic greater than 50% of the maximum F-statistic observed. This process was iterated for each stage of SWS, resulting in distinct source localizations for each stage. Source localization was quantified as a percentage of cortical grey matter voxels, calculated by dividing the total number of involved voxels by the total number of voxels in the brain model. Subsequent analysis involved the comparison of source localizations across different SWS, aiming to identify areas of agreement or disagreement regarding the presence of epileptic sources. A 3-way concordance analysis was conducted to identify voxels consistently identified as epileptic sources across all three SWS. Voxel concordance was assessed among various combinations of sleep stages, including N1-N2-N3, N1-N2-W, N1-N3-W, N2-N3-W, REM-N1-N2, REM-N1-N3, REM-N2-N3, REM-N1-W, REM-N2-W, and REM-N3-W. Concordances were categorized based on the presence or absence of specific sleep stages for comparative purposes.
We calculated concordances for 16 patients and it did not differ for N1-3 or W (Figure 1). However, concordances with REM were lower than those without REM as a fraction of source localization space (median 32.1% vs. 56.1%, p<0.001) (Figure 2) and cortical grey matter (median 20.4% vs. 27.3%, p=0.003). To assess the impact of REM sleep, we compared 3-way concordance (fraction of shared localization space) between combinations without REM sleep and those with REM sleep to find that combinations with REM sleep were significantly less 3-way concordant (p<0.001, Figure 3).
As expected, source localizations from spikes in N1, N2, and N3 did not significantly differ from one another because these three states are constituent members of NREM sleep. Surprisingly, however, source localizations derived from awake spikes – not a constituent of NREM sleep – also did not differ. In contrast, REM was most different by reproducibly exhibiting the least three-way concordance. These findings reinforce the unique localizing ability of REM sleep.
ALSFRS subscore | Swallowing | Speech | Salivation |
4 | Normal | Normal | Normal |
3 | Early eating problems; occasional choking | Detectable speech disturbance | Slight but definite excess of saliva in mouth; may have nighttime drooling |
2 | Dietary consistency changes | Intelligible with repeating | Moderately excessive saliva; may have minimal drooling |
1 | Needs supplemental tube feedings | Speech combined with nonvocal communications | Marked excess of saliva with some drooling |
0 | Nothing by mouth, exclusively parenteral or enteral feeding | Loss of useful speech | Marked drooling; requires constant tissue or handkerchief |
Background
Methods
Conclusion
ACKNOWLEDGEMENTS: Funding for this study was provided by Ultragenyx Pharmaceutical
Chronic Inflammatory Neuropathies (CIN) are disabling autoimmune neuromuscular disorders.
A set of outcome measures are recommended for trials in CIN, yet they are not widely used in routine clinical care.
Patient and provider feedback is key in the successful implementation of a team-based outcome measure program that adds value and avoids unnecessary burden.
Project goals:
Compare the patient and provider perspectives on the utility of using outcome measures in clinical settings.
Identify barriers to outcome measure use and areas of improvement in clinical settings.
1. A set of nine outcome measures were administered in routine practice for CIN patients over one year. The panel included patient-reported and functional outcome measures.
Q1. To describe the incidence of non-adherence to ALS drugs in the real world |
Example Search Terms |
1. Treatment and adherence and amyotrophic lateral sclerosis* |
2. Treatment and compliance and amyotrophic lateral sclerosis* |
3. Treatment and amyotrophic lateral sclerosis* |
4. Treatment and ALS and adherence and real-world data* |
5. Treatment and ALS and compliance and real-world data* |
Q2. What are the known barriers associated with low adherence to ALS treatments in the real world? |
Example Search Terms |
1. Barriers and treatment and adherence and amyotrophic lateral sclerosis* |
2. Barriers and treatment and compliance and amyotrophic lateral sclerosis* |
3. Barriers and treatment and amyotrophic lateral sclerosis* |
4. Treatment and ALS and barriers and real-world data* |
Neuroborreliosis affects approximately 10-15% of people with untreated Lyme disease and typically declares itself 2-18 weeks after infection(1). How the spirochete crosses the blood brain barrier is unknown. Immunohistochemistry has identified direct spirochetal infiltration of the leptomeninges, nerve roots, and dorsal root ganglia with preservation of the CNS parenchyma(2). Damage to nervous tissue is secondary to inflammation(3).
North American neuroborreliosis often manifests with cranial nerve palsy, meningitis, and/or radiculoneuritis. Cranial neuropathy affects approximately half of patients(4). Facial nerve involvement is the most common and up to a quarter will have bilateral involvement(6).
Meningitis is lymphocytic and characterized by severe headache, not typically associated with meningismus or fever(4). Radiculoneuritis is seen in a third of patients and often accompanied by cranial nerve palsy(4). Intraparenchymal involvement of the brain or spinal cord is rare and seen more commonly with European neuroborreliosis(5).
Without treatment, symptom resolution typically occurs over months. However, patients are at risk of developing late Lyme disease characterized by chronic meningitis, progressive encephalitis, myelitis, and/or encephalomyelitis(5). Both early and late neuroborreliosis can be effectively managed with a 2-3 week course of doxycycline, ceftriaxone, cefotaxime, or penicillin G(4).
There are case reports identifying a possible link between B. burgdorferi and vascular aneurysms, similar to what is seen with Treponema pallidum(6). Lymphadenopathy is also a well-established hallmark of infection with B. burgdorferi. The relationship between Lyme disease and lymphoma is less clear. There is a link between cutaneous B-cell lymphoma and acrodermatitis chronica atrophicans, which is a manifestation of late European neuroborreliosis(7). An increased risk of mantle cell lymphoma has also been identified in patients with Lyme disease(8).
The case that we have described provides an excellent example of North American neuroborreliosis, and also highlights some of the rare manifestations of systemic Lyme disease.
Care for compression neuropathies such as carpal tunnel syndrome (CTS) and ulnar neuropathy is often fragmented, uncoordinated, and slow. Patients may go through multiple steps (e.g., neurology consultation, nerve testing, ultrasound, surgical opinion, surgery) with a wait in between each step.
We used a Value-Based Health Care (VBHC) model to create a multidisciplinary clinic (family practice, neurology, physiatry, research, and plastic surgery) to create a novel care pathway.
Objectives
1. Develop a streamlined multi-disciplinary care pathway for CTS and ulnar neuropathy
2. Choose and implement patient reported outcomes measures
3. Pilot implementation of the care pathway
Purpose:
Educational Goal:
Conclusion:
•We reviewed the anatomy, physiology and common pathologies of nasolacrimal apparatus which are commonly overlooked.DISCUSSION AND CONCLUSION
Large improvements in modern microsurgical technique and intraoperative neuromonitoring when utilising the PLPA approach have resulted in far lower perioperative mortality and morbidity compared to historical cohorts whilst achieving a high rate of combined tumor resection, hearing preservation and maintaining quality of life.
1. Hirsch BE, Cass SP, Sekhar LN, Wright DC. Translabyrinthine approach to skull base tumors with hearing preservation. American Journal of Otolaryngology. 1993;14(6):533-43.
2. Sekha LN, Schessel DA, Bucur SD, Raso JL, Wright DC. Partial labyrinthectomy petrous apicectomy approach to neoplastic and vascular lesions of the Petroclival Area. Neurosurgery. 1999;44(3):537-550. doi:10.1097/00006123-199903000-00060
3. Seifert V, Raabe A, Zimmermann M. Conservative (labyrinth-preserving) transpetrosal approach to the Clivus and petroclival region ? indications, complications, results and lessons learned. Acta Neurochirurgica. 2003;145(8):631-642. doi:10.1007/s00701-003-0086-2
4. Xu F, Karampelas I, Megerian CA, Selman WR, Bambakidis NC. Petroclival meningiomas: An update on surgical approaches, decision making, and treatment results. Neurosurgical Focus. 2013;35(6). doi:10.3171/2013.9.focus13319
The integration of Artificial Intelligence (AI) in medical education is an area of growing importance. While AI models have been evaluated extensively in multiple-choice (MC) question formats, their proficiency in written exams remains to be explored. The integration of AI in healthcare holds potential; however, understanding each model's applications and limitations remains a subject of ongoing discussion.1,2 A recent study evaluated the responses of four AI models in medical scenarios relating to anaesthesia, emergency care, critical care, and cardiology3:
Four AI models—GPT-4 (OpenAI), Claude-2.1 (Anthropic), Gemini Pro (Google), and Perplexity 70B (Perplexity)—were tested using the Canadian Royal College Sample Neurosurgery Exam. The written and applied exams covered diagnostic reasoning, knowledge of neurosurgical conditions, and understanding of radiographic imaging techniques.
After-hours (n=19) | Regular hours (n=19) |
p-value | |
Male (%) | 16 (84.2) | 14 (73.7) | 0.426 |
Mean age, years (SD) | 57.7 (13.6) | 60.2 (10.0) | 0.535 |
Presenting GCS, mean (SD) | 14.4 (1.6) | 13.9 (2.7) | 0.875 |
GCS ≤ 8 on presentation (%) | 1 (5.3) | 2 (10.5) | 0.547 |
Neurological deficits on presentation (%) | 11 (57.9) | 12 (63.2) | 0.740 |
Surgical adjunct use (%) | 16 (84.2) | 13 (68.4) | 0.252 |
WHO Grade Grade IV (%) Grade III (%) |
18 (94.7) 1 (5.3) |
18 (94.7) 1 (5.3) |
1.0 |
1D Tumor size, cm (SD) | 4.55 (1.57) | 4.85 (1.35) | 0.524 |
3D Tumor size, cm^3 (SD) | 36.5 (28.2) | 48.6 (39.4) | 0.352 |
Eloquent tumor location (%) | 10 (52.6) | 9 (47.4) | 0.746 |
Recurrent (%) | 2 (10.5) | 2 (10.5) | 1.0 |
After-hours (n=19) | Regular hours (n=19) | p-value | |
Gross total resection (%) | 5 (26.3) | 2 (10.5) | 0.2093 |
Gross/near total resection (%) | 9 (47.4) | 8 (42.1) | 0.7442 |
Intraoperative complications (%) | 0 (0) | 0 (0) | 1.0 |
Postoperative complications (%) | 4 (21.1) | 4 (21.1) | 1.0 |
Reoperation in 30 days (%) | 0 (0) | 1 (5.3) | 0.3109 |
Death within 6 months (%) | 2 (10.5) | 3 (15.8) | 0.6315 |
After-hours (n=19) | Regular hours (n=19) | p-value | |
Estimated blood loss, mean mL (SD) | 123.7 (69.5) | 205.3 (112.9) | 0.0278 |
Operative time, mean min (SD) | 136.9 (29.9) | 174.3 (72.7) | 0.0643 |
Length of stay, median days (SD) | 5 (11.0) | 3 (2.0) | 0.0601 |
ECOG score, median (SD) | 1 (1.0) | 1 (0.7) | 0.3953 |
Preoperative | Postoperative | 3 months | 12 months | Without hydro | |
ONSD (mm) | 6.5 ± 0.7 | 5.7 ± 0.7 (p<0.001) | 5.8 ± 0.6 (p<0.001) | 5.7 ± 0.7 (p<0.001) | 5.5 ± 0.4 (p=0.006) |
FOHR | 0.42 ± 0.08 | 0.38 ± 0.06 (p=0.006) | 0.36 ± 0.09 (p=0.003) | 0.35 ± 0.06 (p<0.001) | 0.35 ± 0.08 (p=0.031) |
Age (SD) | 57.5 (15.5) |
Sex
Male
Female
|
n (%)
45 (57.7)
33 (42.3)
|
Final Pathology
WHO Grade III
WHO Grade IV
|
n (%)
19 (24.3)
59 (75.6%)
|
Number of Glioma Resections
Index
2nd
3rd or Greater
|
n (%)
62 (79.5)
14 (17.9)
2 (2.5)
|
Peri-tumoural Factor (Imaging) | Pre-op n- (%) |
Post-op n - (%) |
P value (T-test, paired, one tail) |
Enhancement | 77 (98.7) | 76 (97.8%) | 0.16 |
Infarct* | 0 (0) | 6 (7.7) | 0.0067 |
Hematoma* | 4 (5.1) | 22 (28.2) | 0.000032 |
Edema* | 47 (60.3) | 69 (88.5) | 0.000013 |
Hydrocephalus* | 1 (1.3) | 4 (5.1) | 0.042 |
Midline Shift/Mass Effect* | 42 (53.8) | 29 (37.2) | 0.0030 |
Parameter | Average (SD) | Min | Max |
Volume Resected (cm3) | 15.8 (19.2) | 0.2 | 119.5 |
Residual Volume (cm3) | 35.7 (32.9) | 1.1 | 171.8 |
% volume residual | 73.5 (19.7) | 17.1 | 93.0 |
% volume resected | 26.5 (19.7)* | 7.0 | 74.2 |
[1] Nayak et al. (2017). Continuum (Minneapolis, Minn.), 23(6, Neuro-oncology) 1548–1563. [2] Calubayan & Opinaldo (2023). Neurooncol Adv 5(Suppl 3), iii26 [3] Koebbe et al. (2001). Neurosurg 48 (4): 940-944. [4] Misra et al. (1988). Surg. Neurol 29(1), 73–76. [5] Ahir et al. (2020). Mol. neurobiol 57(5), 2461–2478. [6] Fukamachi et al. (1985). Surg. neurol 23(6), 575–580. [7] Petersen et al. (2003). Anesthesiology 98(2), 329–336. [8] Girotto et al. (2023). World neurosurg 175, e738–e744.
Cases, total | 362 |
---|---|
Cases, male | 199 |
Cases, female | 163 |
Median age at the time of diagnosis (range) | 62 (19-87) |
Variable | Total (N= 9013) |
Age at diagnosis | |
Mean year (SD) | 63.25 (12.69) |
Sex (N, %) | |
Female | 3,730 (41.4%) |
Male | 5,283 (58.6%) |
Diagnosis year (N, %) | |
1994 - 1998 | 1,381 (15.3%) |
1999 - 2003 | 1,700 (18.9%) |
2004 - 2008 | 1,489 (16.5%) |
2009 - 2013 | 2,178 (24.2%) |
2014 - 2018 | 2,265 (25.1%) |
Nearest Census Based Neighbourhood Income Quintile (N, %) | |
1 | 1,418 (15.8%) |
2 | 1,788 (19.8%) |
3 | 1,783 (19.8%) |
4 | 1,923 (21.3%) |
5 | 2,101 (23.3%) |
Rurality | |
Large urban | 5,953 (66.0%) |
Small urban | 2,083 (23.1%) |
Rural | 875 (9.7%) |
Unknown | 102 (1.1%) |
A cohort of adult glioma plasma samples underwent plasma proteomic consisting of a panel of serum proteins (FABP4, GFAP, NFL, Tau and MMP3, MMP4 &MMP7) quantified through ultrasensitive electrochemiluminescence multiplexed immunoassays, and plasma DNA methylation analysis, captured through cell-free methylated DNA immunoprecipitation and high-throughput sequencing. Mean serum protein concentrations were compared using the Wilcoxon statictical test, and survival analysis was completed through Cox regression. Unsupervised heirarchal clustering was completed on serum protein markers and a GLMnet model was utilized for the training of a predictive model for both tumor type and recurrence prediction.
Retroactive chart analysis on patients who presented with a spontaneous SAH to Vancouver General Hospital with no etiology found on CTA who then received a DSA. Patient demographics, initial presentation, radiologic findings, clinical course, and complications of treatment were recorded.
INTRODUCTION
Flow has been linked with:
• Enhanced performance
• Wellness, decreased burnout
• Career satisfaction
While flow has not been widely studied in healthcare, it has been strongly adopted in other domains, such as elite sport.
To date, flow has been studied as a cognitive experience.
Study goal:
Understand the surgeon experience of flow through a multidimensional lens.
Physical:
“It’s also like that physical, physicality, of having your hands doing something… you have to physically focus, it’s different than having to focus on like a person’s problem or their story.” (P8)
“I feel badly for my colleagues who don’t have the same excitement about what they do that I do. And surgery is not something you should do if you don’t have that feeling… It’s too much.” (P15)
METHODS
DISCUSSION: SUPPORTING FLOW
Considering a multidimensional approach
to flow may help in optimizing
performance and promoting flourishing
While the medical field is becoming more gender-balanced1,2, neurosurgery lags behind: indeed, women are dramatically underrepresented in neurosurgery across the globe1,3, and this lack of diversity extends across all levels of training and practice, from medical school to staff life. This unfortunately has significant implications for both career progression for women in the field and patient care, as research suggests diverse healthcare teams lead to better outcomes4. In light of this, the present study aims to quantify the extent of gender disparities in neurosurgery globally by assessing perceptions of equity, diversity, and inclusion (EDI) within the field, and identify putative causes of unequal treatment experienced by neurosurgeons.
An estimated 27-69 million individuals worldwide sustain a Traumatic Brain Injury (TBI) each year, establishing it as a prominent contributor to health impairment and disability1,2. Most cases (70-90%) fall under the category of mild with an estimated annual incidence rate of 100-300 cases per 100,000 individuals treated in hospitals3. This figure, however, does not encompass the numerous untreated cases, suggesting that the true population-based incidence could be considerably higher, emphasizing the significance of mild TBI (mTBI) as a critical public health concern3. Many victims experience post-injury neuropsychological issues such as anxiety and depression4, which are associated with more post-concussive symptoms and worse functional outcomes5. These psychiatric disorders occur at a higher prevalence and for a longer duration in TBI patients compared to the general population6,7.
The overarching objective of the project is to assess if the early identification of these symptoms through the administration of questionnaires may serve as an effective tool to help clinicians detect mTBI patients at risk of developing anxiety and/or depression and thus refer them to the necessary interventions to prevent negative impacts on their recovery and ultimately improve outcome.
We believe that the results from the questionnaires will aid clinicians to properly refer patients to resources and treatments targeting anxious and/or depressive symptoms and in doing such, improve their outcome.
Patients who were provided with the questionnaires were directed to a significantly greater number of resources compared to those who were not. Specifically, among the four interventions assessed, only vestibular therapy showed significantly more referrals in the post- compared to the pre-questionnaire group. In the post- questionnaire cohort, higher scores on both questionnaires correlated with lower GOS-E scores. This suggests that patients experiencing heightened levels of anxiety and/or depression exhibit poorer outcomes compared to those with lower levels of these psychiatric conditions. Additionally, as the number of interventions increase, patient outcomes worsen, which is likely due to greater clinical complexity and thus, the requirement for more treatment. In summary, although the administration of these questionnaires did not have a significant impact on referrals for most of the specific interventions, our data shows that patients suffering from anxiety and depression post mTBI generally require more interventions and have poorer outcomes than those who do not.
A search was conducted in MEDLINE, Embase and PubMed. Preferred Reporting Items for Systematic Reviews and Meta- analyses (PRISMA) guidelines were followed.
Inclusion criteria:
1) Randomized control trials comparing carotid artery stenting and carotid endarterectomy with statistically significant and dichotomous primary outcomes
2) Studies in humans
3) Studies in English
Exclusion criteria:
1) Non-randomized control trials
2) Studies not comparing carotid artery stenting and carotid endarterectomy
Chronic subdural hematoma (CSDH) is a neurosurgical condition commonly treated with surgical evacuation
Significant proportion of patients presenting with CSDH recieve antiplatelet or anticoagulation at baseline1
Impact of pre-operative antiplatelet or anticoagulation on the outcome of CSDH evacuation, recurrence, and thromboembolic event remains unclear
Comprehensive literature search was conducted in the MEDLINE, EMBASE, and PubMed databases on pre-operative use of antipatelet or anticoagulation therapy and outcome following CSDH evacuation
Screening protocol was adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines
Patients on antithrombotic therapy have both higher risk of recurrence and higher thromboembolic risk compared to patients not on antithrombotic therapy
Clinicians need to weigh the risk of recurrence against thromboembolism when deciding when to hold and resume antithrombotic therapy
Quality of Life Score (QOL-30 and QLQ-BN20) Categorized by WHO Grade |
P-value |
||||
Grade I mean score (+/- SD) N=50 |
Grade II mean Score (+/- SD) N=11 |
Grade III mean Score (+/- SD) N=6 |
Grade IV mean Score (+/- SD) N=9 |
||
QOL-C30 Physical Functioning Role function Emotional function Cognitive function Social function Global health quality of life Symptom ScaleFatigue Nausea and vomiting Pain Dyspnea Insomnia Appetite loss Constipation Diarrhea Financial difficulties |
81.7 (30.35) 79 (28.33) 74.3 (29.01) 82.7 (32.11) 76.7 (25) 20.4 (25.53) 43.7 (22.81) 17 (26.19) 9.3 (21.34) 29.3 (40.2) 14 (28.64) 21.3 (37.95) 6 (16.06) 20 (36.27) |
65.2 (40.45) 70.5 (29.9) 68.2 (34.52) 91 (17.26) 74.2 (24.28) 24.2 (24.75) 40.9 (15.57) 22.7 (23.89) 15.2 (27.34) 27.3 (46.71) 3 (10.05) 18.2 (31.14) 3 (10.05) 18.2 (34.52) |
69.4 (26.7) 86.1 (8.61) 72.2 (31.03) 88.9 (13.61) 76.4 (20.69) 31.5 (36.8) 38.9 (13.61) 22.2 (22.77) 0 (0) 22.2 (27.22) 22.2 (40.37) 22.2 (27.22) 5.6 (13.61) 33.3 (36.52) |
59.3 (42.58) 69.4 (33.07) 68.5 (34.81) 87 (26.06) 70.4 (26.06) 43.2 (27.5) 50 (33.33) 22.2 (28.87) 11.1 (23.57) 33.3 (40.83) 18.5 (24.22) 25.9 (36.43) 0 (0) 25.9 (40.06) |
0.20 0.76 0.94 0.9 0.83 0.13 0.91 0.59 0.57 0.97 0.35 0.82 0.65 0.78 |
QLQ-BN20 Future uncertainty Visual disorder Motor dysfunction Communication deficit Headaches Seizures Drowsiness Itchy skin Hair loss Weakness of legs Bladder control |
18.2 (23.9) 20.2 (28.28) 14.7 (23.7) 9.6 (21.76) 37.3 (36.04) 11.3 (24.84) 17.3 (28.76) 3.3 (16.84) 0 (0) 12.7 (28.48) 12 (31.41) |
23.5 (18.94) 17.2 (21.87) 14.1 (27.26) 26.3 (40.45) 33.3 (39.44) 21.2 (34.23) 18.2 (34.52) 3 (10.05) 12.1 (27) 15.2 (27.34) 9.1 (21.56) |
12.5 (11.49) 13 (17.8) 24.1 (19.14) 24.1 (31.75) 16.7 (27.89) 16.7 (40.82) 33.3 (36.52) 16.7 (27.89) 33.3 (42.16) 0 (0) 11.1 (27.22) |
20.4 (14.5) 17.3 (23.64) 42 (32.77) 1.2 (3.7) 29.6 (38.89) 14.8 (24.22) 33.3 (33.33) 25.9 (36.43) 11.1 (23.57) 44.4 (47.14) 11.1 (33.33) |
0.5 0.99 0.01 0.13 0.52 0.70 0.25 0.003 0.0002 0.04 0.99 |
Trapped fourth ventricle (TFV) is a rare entity that occurs when the fourth ventricle is obstructed and isolated from the normal cerebrospinal fluid (CSF) circulation.
While not always symptomatic, TFV can lead to compression of the cerebellum and brainstem, with potential for serious consequences.
Treatment of TFV can be challenging, with options including CSF diversion via shunts versus open or endoscopic fenestrations.
In this report, we describe a case of TFV that was managed endoscopically.
(1) Investigate the prevalence of fecal incontinence in patients diagnosed with NPH
(2) Determine the effects of utilizing ventriculoperitoneal shunts as a treatment for NPH with fecal incontinence
(3) Describe patients who experienced fecal incontinence as a symptom of NPH, pre- and post-shunting.
Incidental durotomy and cerebrospinal fluid leak (CSF leak) is a common complication following lumbar microdiscectomy, with an incidence of 5.5%-9% of primary lumbar spine surgeries. The risk increases to 13.2%-21% with subsequent revision surgeries (1). In one study, open microdiscectomy had two times the risk of CSF leak compared to minimally invasive microdiscectomy (MIM) (1). In that same study, patients with CSF leak after open microdiscectomy were also more likely to require subsequent surgical repair (open = 25%, MIM = 0%, P < .01) (1). Management of incidental durotomy generally includes intraoperative repair followed by a period of bedrest to allow for healing of the injury to the thecal sac without the added hydrostatic pressure conferred by an upright posture.
In MIM, the integrity of the surrounding muscles remains uncompromised, minimizing the potential for CSF accumulation in dead spaces. By maintaining muscle integrity and addressing CSF leaks during surgery, the likelihood of symptomatic postoperative CSF leaks is reduced (1). As such, it is common practice to discharge patients home the same day after surgical repair of CSF leak that occurs during MIM, but not open microdiscectomy. However, there are no published reports that specifically address the safety and long-term outcomes of this practice.
The objective of this retrospective cohort study was to evaluate outcomes in patients with CSF leak after MIM, comparing those admitted to hospital for bedrest versus same-day discharge. Our hypothesis was that patients with CSF leak after MIM may be safely discharged home the same day.
Wong AP, Shih P, Smith TR, Slimack NP, Dahdaleh NS, Aoun SG, El Ahmadieh TY, Smith ZA, Scheer JK, Koski TR, Liu JC. Comparison of symptomatic cerebral spinal fluid leak between patients undergoing minimally invasive versus open lumbar foraminotomy, discectomy, or laminectomy. World neurosurgery. 2014 Mar 1;81(3-4):634-40.
• Lumbar degenerative spine disease is common with incidence of 4.5% annually in Canada (Ravindra et al., 2018).
• Long surgical wait times are of growing concern across all surgical specialties (Canadian Institute for Health Information).
• In 2016, Bailey et al. showed that patients who received degenerative spine surgery within 12 months reported greater improvement on Oswestry Disability Index than those who waited >12 months.
1. Investigate whether wait times for elective degenerative spine surgery have increased annually between 2009-2020 at Vancouver General Hospital.
2. Investigate whether increasing wait times are associated with increased rates of adverse events (AE), duration of hospitalization, and increased likelihood of discharge to a facility other than home.
• Prospectively enrolled 10,824 patients who underwent elective degenerative spine surgery at Vancouver General Hospital between Jan 1, 2009, and Dec 31, 2020.
• Wait Time Intervals - T1, Ti, T2, T1+ T2, Total wait time (T1+Ti+T3)
• Spinal Adverse Events Severity System, version 2 (SAVES-V2)
• Length of hospitalization (days)
• Disposition (home vs. other hospital, nursing home, rehab, LTC)
Characteristics | |
Age in years – mean (SD) | 70.5 (8.04) |
Female sex – n (%) | 58 (52.1%) |
Thoracic vertebral fracture – n (%) | 60 (55.6%) |
Lumbar vertebral fracture – n (%) | 76 (70.4%) |
Number diagnosed at non-surgical admission – n (%) | 44 (40.7%) |
Time from diagnosis to surgical consult (days) – mean (SD) (n = 119) | 133.2 (225.0) |
Time from diagnosis to kyphoplasty (days) – mean (SD) (n = 119) | 169.1 (236.0) |
Time from surgical consult to kyphoplasty (days) – mean (SD) (n = 119) | 35.8 (49.1) |
Outcomes | |
Change in focal kyphotic deformity (Degrees) | |
Diagnosis to pre-kyphoplasty – mean (SD) (n = 41) | 2.19 (8.44) |
Pre-kyphoplasty to post-kyphoplasty – mean (SD) (n = 38) | 0.06 (5.21) |
Diagnosis to post-kyphoplasty – mean (SD) (n = 42) | 2.26 (9.31) |
Change in Vertebral height loss (%) | |
Diagnosis to pre-kyphoplasty – mean (SD) (n = 58) | 8.45 (14.29)**** |
Pre-kyphoplasty to post-kyphoplasty – mean (SD) (n = 53) | -6.81 (19.09)* |
Diagnosis to post-kyphoplasty – mean (SD) (n = 61) | 2.14 (21.99) |
Effect on Primary Outcomes | Adjusted correlation coefficient (R2) | p-Value |
Time from diagnosis to surgical consult | ||
Change in focal kyphotic deformity | ||
Diagnosis to pre-kyphoplasty (n = 41) | -0.05 | 0.68 |
Pre-kyphoplasty to post-kyphoplasty (n = 38) | -0.14 | 0.98 |
Diagnosis to post-kyphoplasty (n = 42) | -0.02 | 0.68 |
Change in vertebral height loss | ||
Diagnosis to pre-kyphoplasty (n = 58) | -0.05 | 0.67 |
Pre-kyphoplasty to post-kyphoplasty (n = 53) | -0.11 | 0.96 |
Diagnosis to post-kyphoplasty (n = 61) | -0.07 | 0.82 |
Effect on Primary Outcomes | Adjusted correlation coefficient (R2) | p-Value |
Time from diagnosis to kyphoplasty | ||
Change in focal kyphotic deformity | ||
Diagnosis to pre-kyphoplasty (n = 41) | -0.06 | 0.70 |
Pre-kyphoplasty to post-kyphoplasty (n = 38) | -0.15 | 0.99 |
Diagnosis to post-kyphoplasty (n = 42) | -0.08 | 0.86 |
Change in vertebral height loss | ||
Diagnosis to pre-kyphoplasty (n = 58) | -0.05 | 0.69 |
Pre-kyphoplasty to post-kyphoplasty (n = 53) | -0.11 | 0.97 |
Diagnosis to post-kyphoplasty (n = 61) | -0.07 | 0.86 |
Neurofibromatosis 1 (NF1) is a multisystem, neurocutaneous disorder with a predisposition for various malignancies. It is caused by a mutation of the NF1 gene on chromosome 17q11.2 (Ferner et al., 2007). Dysfunction of the NF1 gene causes a loss of Neurofibromin, a tumour suppressor protein (Hirbe et al., 2014). Patients with NF1 have increased morbidity and mortality with a reduced average life expectancy of 8-15 years. This is in part due to the predisposition to malignant peripheral nerve sheath tumours and breast cancer. Vasculopathy, cardiac, renal dysfunction, cognitive impairment and neuropsychiatric conditions are notable comorbidities (Stewart et al., 2018). This disorder affects between 1:2000 to 1:3000 people worldwide. We estimate that there are between 1800 - 2700 people with NF1 in British Columbia.
Currently, there is no established care pathway or multidisciplinary clinic for adult patients with NF1 in BC. Patients may miss timely screening or therapeutic interventions. The development of new therapies for NF1 highlights the urgency for coordinated care.
A multidisciplinary working group was created. It includes a neuromuscular neurologist, adult neuro-oncologist, pediatric neuro-oncologist, medical geneticist, and neuro-ethics researchers. A three-prong approach to address identified gaps was developed
Description: This is an explorative descriptive study using focus groups. It received approval from the UBC Research Ethics Board and the Vancouver Coastal Health Research Institute.
Primary objectives:
1. To assess the current health-related needs of adults with NF1 in BC.
2. To explore the opinions and perceptions of the relevant stakeholders regarding future improvements to the health care provided to patients with NF1 in BC.
Methodology: We created two focus groups. One group with adult patients with NF1 and another group for physicians. The prospective patient participants were identified through the shared electronic medical record system of Dr. Kristine Chapman and the Vancouver General Hospital Neuromuscular Disease Unit. The prospective physician participants were identified through internal discussions by the study group members. All prospective participants were contacted through email with a letter of initial contact. The focus groups were audio-recorded and transcribed. The data has been collected and is in the process of undergoing thematic analysis.
Preliminary Results:
Patient Focus Group themes:
Physician Focus Group themes:
The following is a summary of the recommended diagnostic investigations and management for adults with NF1 in BC. Note that recommendations are subject to change as new evidence arises.
Each patient should have an annual assessment from a primary care provider with a thorough medical history, and physical examination. In addition, we recommend an evaluation of possible complications of NF1 (see Recommendations).