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

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: We aimed to identify clinical parameters indicative of neurogenic lower urinary tract dysfunction in multiple sclerosis patients. 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: 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: Therefore, bladder diary and urinary tract infection rate should be routinely assessed to identify patients who require urodynamics.

[Current aspects of neurogenic dysfunctions of the lower urinary tract in multiple sclerosis]. / Aktuelles zu neurogenen Dysfunktionen des unteren Harntraktes bei Multipler Sklerose.

BACKGROUND: In the clinical management of patients with multiple sclerosis (MS), the challenge is to make an early diagnosis and initiate adequate treatment of neurogenic disorders of the lower urinary tract (NLUTD). Various national guidelines provide practical recommendations which are sometimes discordant. OBJECTIVE: To develop a simple evidence-based algorithm for detecting NLUTD in patients with MS that could be taken as a principle for deriving therapeutic consequences. MATERIAL AND METHODS: A prospective multicenter study was initiated as a direct result of two multidisciplinary conferences. The aim was to identify statistically and clinically relevant parameters for the routine diagnosis of NLUTD in patients with MS. Urodynamic abnormalities served as the gold standard. At three subsequent consensus conferences, the results of the study were discussed, a diagnostic algorithm was developed and consensus was reached on a first-line treatment. RESULTS AND DISCUSSION: The proposed algorithm enables the detection of NLUTD in patients with MS with the help of four statistically significant predictors: 1) the residual urine volume, 2) the number of urinary tract infections (UTI) within the last 6 months, 3) the standardized micturition frequency and 4) the presence/absence of urinary incontinence. The newly developed algorithm has proved to be efficient with the following results: approximately 75% of the patients do not need a urodynamic examination for a first-line treatment decision. In 25% of cases, urodynamic examinations are essential for an adequate treatment decision. Routine assessments include the patient medical history, residual urine volume measurement, a micturition diary and a uroflowmetry (optional).

Neurourological assessment in people with multiple sclerosis (MS): a new evaluated algorithm.

BACKGROUND: Neurogenic lower urinary tract dysfunction (NULTD) is common in patients with multiple sclerosis (MS); nevertheless, it is often underestimated, underdiagnosed, and undertreated due to patients' sense of shame, variability of symptoms, as well as lack of communication between neurologists and urologists, despite the availability of several guidelines based on scientific evidence and expert opinion. OBJECTIVE: This study was conducted to develop an easy-to-perform algorithm for diagnosing neurogenic lower urinary tract disease in patients with MS for daily neurological and urological routine, including the identification of red flags. METHODS: In consensus group meetings, interprofessional experts (neurologists, urologists, neurourologists, nurses, nurse practitioners, occupational therapists, physical therapists as well as representatives of national MS centers, self-care groups, social care, residential care, and health-aid-providers) developed a diagnostic algorithm to detect NULTD in patients with MS. Subsequently, the group evaluated the algorithm in 121 patients with MS using micturition diary, post-void residual volume, uroflowmetry, and urodynamic studies. Statistical analysis was conducted on the basis of logistic regression models to compare patients with normal and abnormal urodynamic examinations. Differentiation was performed using selected diagnostic parameters as well as standard performance measures for binary classifiers to assess prognostic quality. RESULTS: The following four parameters allowed to diagnose NLUTD in patients with MS: post-void residual urine volume, rate of urinary tract infections during the past 6 months, micturition frequency, and incontinence. According to statistical analysis, the following thresholds could be defined: post-void residual volume (PVR) ≥70 mL (Odds Ratio (OR) = 1.24; 95% CI:[1.07,1.62]), urinary tract infection (UTI) rate - none in 6 months (OR = 2.03; 95% CI:[1.04,6.68]), and micturition frequency >13/day, standardized on 2000 mL urine excretion (OR = 1.24; 95% CI:[1.07,1.49]). Uroflowmetry served as a further predictor of urodynamically measurable urinary bladder dysfunction (OR = 4.80; 95% CI: [1.41, 19.21]). Interestingly, patients without any complaints of NLUTD had an abnormal urodynamic examination in >50% of the cases. The entire algorithm has a sensitivity of 95%. CONCLUSIONS: All patients with MS should undergo a basic examination to detect NLUTDs. Within the algorithm developed in this study, four easy-to-collect parameters may reveal NLUTD in patients with MS.