Neurourological assessment in people with multiple sclerosis (MS): a new evaluated algorithm
•All patients with MS should be screened for NLUTD•A patient questionnaire, PVR measurement, and bladder diary are mandatory•Red flags are high PVR, high micturition frequency, UTI-rate, and incontinence•Uroflowmetry can select asymptomatic patients with abnormal urodynamic Neurogenic lower urinary...
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creator | Domurath, Burkhard Kurze, Ines Kirschner-Hermanns, Ruth Kaufmann, Albert Feneberg, Wolfgang Schmidt, Paul Henze, Thomas Flachenecker, Peter Brandt, Anna Vance, Will Nelson Beck, Janina Vonthien, Manuela Ratering, Kerstin |
description | •All patients with MS should be screened for NLUTD•A patient questionnaire, PVR measurement, and bladder diary are mandatory•Red flags are high PVR, high micturition frequency, UTI-rate, and incontinence•Uroflowmetry can select asymptomatic patients with abnormal urodynamic
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.
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.
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.
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 |
doi_str_mv | 10.1016/j.msard.2020.102248 |
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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.
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.
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.
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%.
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.</description><identifier>ISSN: 2211-0348</identifier><identifier>EISSN: 2211-0356</identifier><identifier>DOI: 10.1016/j.msard.2020.102248</identifier><identifier>PMID: 32562907</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Algorithms ; Assessment ; Consensus ; Humans ; Lower urinary tract dysfunction ; Multicenter study ; Multiple Sclerosis ; Multiple Sclerosis - complications ; Multiple Sclerosis - diagnosis ; Multiple Sclerosis - epidemiology ; Neurogenic bladder ; Urinary Tract Infections ; Urodynamics</subject><ispartof>Multiple sclerosis and related disorders, 2020-09, Vol.44, p.102248-102248, Article 102248</ispartof><rights>2020 The Authors</rights><rights>Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-16ce0b89673689340288c8340b316467a2a954201edbfc8184534e8f624911933</citedby><cites>FETCH-LOGICAL-c404t-16ce0b89673689340288c8340b316467a2a954201edbfc8184534e8f624911933</cites><orcidid>0000-0002-1309-8911</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32562907$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Domurath, Burkhard</creatorcontrib><creatorcontrib>Kurze, Ines</creatorcontrib><creatorcontrib>Kirschner-Hermanns, Ruth</creatorcontrib><creatorcontrib>Kaufmann, Albert</creatorcontrib><creatorcontrib>Feneberg, Wolfgang</creatorcontrib><creatorcontrib>Schmidt, Paul</creatorcontrib><creatorcontrib>Henze, Thomas</creatorcontrib><creatorcontrib>Flachenecker, Peter</creatorcontrib><creatorcontrib>Brandt, Anna</creatorcontrib><creatorcontrib>Vance, Will Nelson</creatorcontrib><creatorcontrib>Beck, Janina</creatorcontrib><creatorcontrib>Vonthien, Manuela</creatorcontrib><creatorcontrib>Ratering, Kerstin</creatorcontrib><creatorcontrib>the MS Consensus Group</creatorcontrib><creatorcontrib>MS Consensus Group</creatorcontrib><title>Neurourological assessment in people with multiple sclerosis (MS): a new evaluated algorithm</title><title>Multiple sclerosis and related disorders</title><addtitle>Mult Scler Relat Disord</addtitle><description>•All patients with MS should be screened for NLUTD•A patient questionnaire, PVR measurement, and bladder diary are mandatory•Red flags are high PVR, high micturition frequency, UTI-rate, and incontinence•Uroflowmetry can select asymptomatic patients with abnormal urodynamic
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.
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.
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.
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%.
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.</description><subject>Algorithms</subject><subject>Assessment</subject><subject>Consensus</subject><subject>Humans</subject><subject>Lower urinary tract dysfunction</subject><subject>Multicenter study</subject><subject>Multiple Sclerosis</subject><subject>Multiple Sclerosis - complications</subject><subject>Multiple Sclerosis - diagnosis</subject><subject>Multiple Sclerosis - epidemiology</subject><subject>Neurogenic bladder</subject><subject>Urinary Tract Infections</subject><subject>Urodynamics</subject><issn>2211-0348</issn><issn>2211-0356</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1LAzEQhoMottT-AkFyrIfWfG2aFTxI8QuqHtSbENLstKZkd2uy2-K_N7Xao0NgJsP7zjAPQqeUjCih8mI5KqMJxYgRtu0wJtQB6jJG6ZDwTB7ua6E6qB_jkqSQGRWSHqMOZ5lkORl30fsTtKFOz9cLZ43HJkaIsYSqwa7CK6hXHvDGNR-4bH3jtr9oPYQ6uogHjy_nl9jgCjYY1sa3poECG7-oQ3KUJ-hobnyE_m_uobfbm9fJ_XD6fPcwuZ4OrSCiGVJpgcxULsdcqpwLwpSyKuUZp1LIsWEmzwQjFIrZ3CqqRMYFqLlkIqc057yHBru5q1B_thAbXbpowXtTQd1GzQTN0kyViSTlO6lNF8QAc70KrjThS1Oit2T1Uv-Q1Vuyekc2uc5-F7SzEoq9549jElztBJDOXDsIOloHlYXCBbCNLmr374JvdbqI9w</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Domurath, Burkhard</creator><creator>Kurze, Ines</creator><creator>Kirschner-Hermanns, Ruth</creator><creator>Kaufmann, Albert</creator><creator>Feneberg, Wolfgang</creator><creator>Schmidt, Paul</creator><creator>Henze, Thomas</creator><creator>Flachenecker, Peter</creator><creator>Brandt, Anna</creator><creator>Vance, Will Nelson</creator><creator>Beck, Janina</creator><creator>Vonthien, Manuela</creator><creator>Ratering, Kerstin</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1309-8911</orcidid></search><sort><creationdate>202009</creationdate><title>Neurourological assessment in people with multiple sclerosis (MS): a new evaluated algorithm</title><author>Domurath, Burkhard ; Kurze, Ines ; Kirschner-Hermanns, Ruth ; Kaufmann, Albert ; Feneberg, Wolfgang ; Schmidt, Paul ; Henze, Thomas ; Flachenecker, Peter ; Brandt, Anna ; Vance, Will Nelson ; Beck, Janina ; Vonthien, Manuela ; Ratering, Kerstin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-16ce0b89673689340288c8340b316467a2a954201edbfc8184534e8f624911933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Assessment</topic><topic>Consensus</topic><topic>Humans</topic><topic>Lower urinary tract dysfunction</topic><topic>Multicenter study</topic><topic>Multiple Sclerosis</topic><topic>Multiple Sclerosis - complications</topic><topic>Multiple Sclerosis - diagnosis</topic><topic>Multiple Sclerosis - epidemiology</topic><topic>Neurogenic bladder</topic><topic>Urinary Tract Infections</topic><topic>Urodynamics</topic><toplevel>online_resources</toplevel><creatorcontrib>Domurath, Burkhard</creatorcontrib><creatorcontrib>Kurze, Ines</creatorcontrib><creatorcontrib>Kirschner-Hermanns, Ruth</creatorcontrib><creatorcontrib>Kaufmann, Albert</creatorcontrib><creatorcontrib>Feneberg, Wolfgang</creatorcontrib><creatorcontrib>Schmidt, Paul</creatorcontrib><creatorcontrib>Henze, Thomas</creatorcontrib><creatorcontrib>Flachenecker, Peter</creatorcontrib><creatorcontrib>Brandt, Anna</creatorcontrib><creatorcontrib>Vance, Will Nelson</creatorcontrib><creatorcontrib>Beck, Janina</creatorcontrib><creatorcontrib>Vonthien, Manuela</creatorcontrib><creatorcontrib>Ratering, Kerstin</creatorcontrib><creatorcontrib>the MS Consensus Group</creatorcontrib><creatorcontrib>MS Consensus Group</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Multiple sclerosis and related disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Domurath, Burkhard</au><au>Kurze, Ines</au><au>Kirschner-Hermanns, Ruth</au><au>Kaufmann, Albert</au><au>Feneberg, Wolfgang</au><au>Schmidt, Paul</au><au>Henze, Thomas</au><au>Flachenecker, Peter</au><au>Brandt, Anna</au><au>Vance, Will Nelson</au><au>Beck, Janina</au><au>Vonthien, Manuela</au><au>Ratering, Kerstin</au><aucorp>the MS Consensus Group</aucorp><aucorp>MS Consensus Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neurourological assessment in people with multiple sclerosis (MS): a new evaluated algorithm</atitle><jtitle>Multiple sclerosis and related disorders</jtitle><addtitle>Mult Scler Relat Disord</addtitle><date>2020-09</date><risdate>2020</risdate><volume>44</volume><spage>102248</spage><epage>102248</epage><pages>102248-102248</pages><artnum>102248</artnum><issn>2211-0348</issn><eissn>2211-0356</eissn><abstract>•All patients with MS should be screened for NLUTD•A patient questionnaire, PVR measurement, and bladder diary are mandatory•Red flags are high PVR, high micturition frequency, UTI-rate, and incontinence•Uroflowmetry can select asymptomatic patients with abnormal urodynamic
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.
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.
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.
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%.
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.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>32562907</pmid><doi>10.1016/j.msard.2020.102248</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-1309-8911</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Assessment Consensus Humans Lower urinary tract dysfunction Multicenter study Multiple Sclerosis Multiple Sclerosis - complications Multiple Sclerosis - diagnosis Multiple Sclerosis - epidemiology Neurogenic bladder Urinary Tract Infections Urodynamics |
title | Neurourological assessment in people with multiple sclerosis (MS): a new evaluated algorithm |
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