A Case of Idiopathic Normal Pressure Hydrocephalus Presenting as Vascular Parkinsonism
Bibliographic record
Abstract
Idiopathic normal pressure hydrocephalus (iNPH) is the most common form of hydrocephalus in adults. It is characterized by dilated ventricles and the Hakim triad, which consists of gait disturbance, cognitive impairment, and urinary incontinence. The gold standard treatment for iNPH is shunting, but frequent lumbar punctures (LPs) are helpful for diagnosis and predicting shunting outcome and is considered the treatment of choice when shunting is not available. One condition with similar presentation to iNPH is Vascular parkinsonism (VP), which is characterized by an established relationship between cerebrovascular diseases and the clinical symptoms of Parkinson’s disease (PD). VP patients usually present with lower-body parkinsonism, including impaired gait, instability, difficulty with maintaining gait, and frequent episodes of freezing. VP is managed by levodopa followed by transcranial magnetic stimulation then vitamin D. LPs are less effective for VP than iNPH. Our case report shows that iNPH may be misdiagnosed with VP. Here we present a case of a 71-year-old male with a history of previous lacunar strokes who was admitted for possible vascular parkinsonism. Eight months prior to coming to the hospital, he developed gait disturbances; and four months later, he developed urinary symptoms. Upon examination, his gait initiation was hesitant, wide-based, and magnetic with decreased arm swing. The patient scored 20 out of 30 points on the Montreal Cognitive Assessment. The only cranial nerve involvement was a diminished gag reflex. Brain magnetic resonance imaging revealed symmetrically enlarged ventricles with mildly dilated sulci. Routine laboratory testing was normal. Two months of treatment with levodopa did not improve his symptoms but draining 50 mL of cerebrospinal fluid (CSF) has dramatically improved his gait. A final diagnosis of iNPH was therefore made. To conclude, iNPH and VP are two manageable diseases but the differential diagnosis between them is particularly challenging due to similar clinical and neuroradiological features. We suggest further studies to establish supporting guidelines by using neuroradiological or neurophysiological biomarkers which may help physicians in ameliorate diagnostic accuracy between the two entities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".