Clinical Predictors of Neurogenic Lower Urinary Tract Dysfunction in Persons with Multiple Sclerosis.

Expanded Disability Status Scale (EDSS) bladder diary (BD) multiple sclerosis (MS) neuro-urology neurogenic lower urinary tract dysfunction (NLUTD) post-void residual (PVR) prospective study upper urinary tract damage (UUTD)

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
13 Jan 2022
Historique:
received: 30 11 2021
revised: 05 01 2022
accepted: 11 01 2022
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 22 1 2022
Statut: epublish

Résumé

Multiple sclerosis patients often develop neurogenic lower urinary tract dysfunction with a potential risk of upper urinary tract damage. Diagnostic tools are urodynamics, bladder diary, uroflowmetry, and post-void residual, but recommendations for their use are controversial. We aimed to identify clinical parameters indicative of neurogenic lower urinary tract dysfunction in multiple sclerosis patients. 207 patients were prospectively assessed independent of the presence of lower urinary tract symptoms. We analyzed Expanded Disability Status Scale scores, uroflowmetry, post-void residual, rate of urinary tract infections, standardized voiding frequency, and voided volume in correlation with urodynamic findings. We found a significant correlation between post-void residual (odds ratio (OR) 4.17, confidence interval (CI) 1.20-22.46), urinary tract infection rate (OR 3.91, CI 1.13-21.0), voided volume (OR 4.53, CI 1.85-11.99), increased standardized voiding frequency (OR 7.40, CI 2.15-39.66), and urodynamic findings indicative of neurogenic lower urinary tract dysfunction. Expanded Disability Status Scale shows no correlation. Those parameters (except post-void residual) are also associated with reduced bladder compliance, as potential risk for kidney damage. Therefore, bladder diary and urinary tract infection rate should be routinely assessed to identify patients who require urodynamics.

Sections du résumé

BACKGROUND BACKGROUND
Multiple sclerosis patients often develop neurogenic lower urinary tract dysfunction with a potential risk of upper urinary tract damage. Diagnostic tools are urodynamics, bladder diary, uroflowmetry, and post-void residual, but recommendations for their use are controversial.
OBJECTIVE OBJECTIVE
We aimed to identify clinical parameters indicative of neurogenic lower urinary tract dysfunction in multiple sclerosis patients.
METHODS METHODS
207 patients were prospectively assessed independent of the presence of lower urinary tract symptoms. We analyzed Expanded Disability Status Scale scores, uroflowmetry, post-void residual, rate of urinary tract infections, standardized voiding frequency, and voided volume in correlation with urodynamic findings.
RESULTS RESULTS
We found a significant correlation between post-void residual (odds ratio (OR) 4.17, confidence interval (CI) 1.20-22.46), urinary tract infection rate (OR 3.91, CI 1.13-21.0), voided volume (OR 4.53, CI 1.85-11.99), increased standardized voiding frequency (OR 7.40, CI 2.15-39.66), and urodynamic findings indicative of neurogenic lower urinary tract dysfunction. Expanded Disability Status Scale shows no correlation. Those parameters (except post-void residual) are also associated with reduced bladder compliance, as potential risk for kidney damage.
CONCLUSION CONCLUSIONS
Therefore, bladder diary and urinary tract infection rate should be routinely assessed to identify patients who require urodynamics.

Identifiants

pubmed: 35054358
pii: diagnostics12010191
doi: 10.3390/diagnostics12010191
pmc: PMC8774871
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : 'Förderverein zur Kontinenzforschung und Kontinenzaufklärung e. V'.; Karmeliterhöfe, Karmeliterstr. 10, 52064 Aachen, Germany. (Grant No 17/002)
ID : 17/002

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Auteurs

Janina Beck (J)

Department for Neuro-Urology, Clinic for Urology, University Hospital Bonn, 53127 Bonn, Germany.

Anke Kirsten Jaekel (AK)

Department for Neuro-Urology, Clinic for Urology, University Hospital Bonn, 53127 Bonn, Germany.
Neuro-Urology, Johanniter Neurological Rehabilitation Center 'Godeshoehe e.V.', 53177 Bonn, Germany.

Federico Leopoldo Zeller (FL)

Neuro-Urology, Johanniter Neurological Rehabilitation Center 'Godeshoehe e.V.', 53177 Bonn, Germany.

Michael Kowollik (M)

Neuro-Urology, Johanniter Neurological Rehabilitation Center 'Godeshoehe e.V.', 53177 Bonn, Germany.

Ines Kurze (I)

Center of Spinal Cord Injuries and Diseases, Department for Paraplegiology and Neuro-Urology, 99438 Bad Berka, Germany.

Albert Kaufmann (A)

Department of Neuro-Urology, Kliniken Maria Hilf GmbH, 41063 Moenchengladbach, Germany.

Wolfgang Feneberg (W)

Marianne Strauss Clinic Berg, Therapeutical Center for Patients with Multiple Sclerosis Kempfenhausen GmbH, 82335 Berg, Germany.

Anna Brandt (A)

Clinic Segeberg, Neurological Center, 23795 Bad Segeberg, Germany.

Peter Flachenecker (P)

Neurological Rehabilitation Center Quellenhof, 75323 Bad Wildbad, Germany.

Thomas Henze (T)

Neurological Outpatient Practice Dr. Blersch, 93059 Regensburg, Germany.

Burkhard Domurath (B)

Neuro-Urological Center, Clinic Beelitz GmbH, Neurological Rehabilitation Clinic, Beelitz-Heilstätten, 14547 Beelitz, Germany.

Paul Schmidt (P)

Statistical Consulting for Science and Research, Große Seestr. 8, 13086 Berlin, Germany.

Will Nelson Vance (WN)

Neuro-Urological Center, Clinic Beelitz GmbH, Neurological Rehabilitation Clinic, Beelitz-Heilstätten, 14547 Beelitz, Germany.

Franziska Goldschmidt (F)

Department for Neuro-Urology, Clinic for Urology, University Hospital Bonn, 53127 Bonn, Germany.

Ruth Klara Maria Kirschner-Hermanns (RKM)

Department for Neuro-Urology, Clinic for Urology, University Hospital Bonn, 53127 Bonn, Germany.
Neuro-Urology, Johanniter Neurological Rehabilitation Center 'Godeshoehe e.V.', 53177 Bonn, Germany.

Stephanie C Knüpfer (SC)

Department for Neuro-Urology, Clinic for Urology, University Hospital Bonn, 53127 Bonn, Germany.

Classifications MeSH