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DOI 10.1007/s00701-024-06271-z

Медицинская библиотека · Acta neurochirurgica · 2024

Profiling iNPH features through cluster analysis: an aid for clinical suspicion and diagnosis.

Mazza Liliana, Giannini Giulia, Pirina Alessandro, Milletti David, Magelli Elena, Ievoli Riccardo, Maioli Fabiola, Cevoli Sabina, Yasar Sevil, Palandri Giorgio

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

PURPOSE: Idiopathic Normal Pressure Hydrocephalus (iNPH) is a neurological syndrome defined by gait disturbance, cognitive impairment and urinary incontinence. However, its clinical presentation can vary widely due to overlapping syndromes and common comorbidities in older adults. This study aims to provide practical guidance to aid in the clinical suspicion and support the diagnostic and therapeutic processes for these patients.

METHODS

Six quantitative variables regarding clinical, functional, and demographic aspects were considered for a large sample of patients with diagnosed iNPH. Principal component analysis (PCA) was adopted to define the main dimensions explaining the variability of the phenomenon. Then, two clusters of iNPH patients were described.

RESULTS

178 patients were included in the analysis. The PCA produced two dimensions covering 61.8% of the total variability. The first one relied mainly on both clinical (mRS, iNPHGs) and functional (TUG, Tinetti) variables, while the second one was represented mainly on the demographic pattern (age and education). Cluster analysis depicted two main groups of patients. Cluster n.1 is composed of individuals who are older, more disabled, with poor functional performances, and highly symptomatic. Cluster n.2 patients are slightly younger, more educated, fitter, and with more nuanced clinical aspects.

CONCLUSIONS

Profiling iNPH patients using quantitative variables and cluster analysis can help identify distinct characteristics of these patients, aiding in the guidance of both medical and surgical interventions.

Для цитирования: Mazza Liliana, Giannini Giulia, Pirina Alessandro, Milletti David, Magelli Elena, Ievoli Riccardo, Maioli Fabiola, Cevoli Sabina, Yasar Sevil, Palandri Giorgio. Profiling iNPH features through cluster analysis: an aid for clinical suspicion and diagnosis.. Acta neurochirurgica. 2024. DOI: 10.1007/s00701-024-06271-z.

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