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ArticleInternational urology and nephrology2025

Clinical features in Parkinson's disease: characterization of urinary symptoms according to Parkinson disease subtype.

Marilena Gubbiotti, Francesco Ditonno, Elona Brahimi, Stefano Rosadi, Emanuele Rubilotta

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Article in International urology and nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  3. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Marilena GubbiottiDepartment of Urology, Santa Maria la Gruccia Hospital, Via del Volontariato, Montevarchi (Arezzo), Italy. marilena.gubbiotti@gmail.com.ORCID http://orcid.org/0000-0002-3486-1226
Francesco DitonnoDepartment of Urology, A.O.U.I. Verona University, Verona, Italy.
Elona BrahimiDepartment of Neurology, Regina Montis Regalis Hospital, Cuneo, Italy.
Stefano RosadiDepartment of Urology, Santa Maria la Gruccia Hospital, Via del Volontariato, Montevarchi (Arezzo), Italy.
Emanuele RubilottaDepartment of Urology, A.O.U.I. Verona University, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate whether lower urinary tract symptoms (LUTS) differ among clinical subtypes of PD and the association between urinary disorders and motor and non-motor features, quality of life (QoL), and disease variables.

methodsSubjects underwent to the unified Parkinson's disease rating scale (UPDRS) motor section part III, Hoehn-Yahr (H&Y) scale and mini-mental state examination (MMSE) to evaluate motor symptoms, the stage of disease severity, and cognitive function, respectively. Patients were divided into tremor-dominant type (TDT), akinetic-rigid type (ART), and mixed type (MXT) PD subgroups. Urinary symptoms were evaluated with 3-day voiding diary, uroflowmetry, and the incontinence quality of life questionnaires (I-QoL); psychological status by Hamilton anxiety scale (HAM-A) and Hamilton depression scale (HAM-D).

results52 patients were enrolled; mean (± SD) age: 66.5 ± 9.6 yrs. All patients complained about at least one LUTS: 92% had urgency, 83% had increased urinary frequency, and 77% had nocturia. Disease duration was positively related to an increase in urinary frequency (p = 0.06), nocturia (p = 0.03), and negatively related to Qmax (p = 0.01). The rate of urinary frequency increased with the increase of HAM-D score (p < 0.001). The number of nocturia episodes was expression of more severe disease, as expressed by UPDRS (p < 0.001) and worse scores in HAM-A (p = 0.01) and HAM-D scores (p = 0.04). A correlation was observed between urinary frequency and HAM-A scores (p = 0.01). No significant different was observed between the clinical subtypes.

conclusionOur results suggest that LUTS correlate with the severity of motor and non- motor impairment, demonstrating also that LUTS occurrence was irrespective to PD clinical features.

Indexed as

Lower Urinary Tract SymptomsParkinson DiseaseAgedFemaleHumansMaleMiddle AgedQuality of LifeSeverity of Illness IndexAutonomic disordersClinical featuresParkinson’s diseaseUrinary incontinenceUrinary symptoms

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.