Introduction: Urinary tract infections (UTIs) are one of the commonest reasons for patients with multiple sclerosis (PwMS) presenting to hospital. Management of recurrent UTIs in PwMS can be challenging and characteristics of such patients are not well described.
Aims: To describe the neurological and urological features of PwMS presenting to hospital for UTIs and identify areas of management that could be improved to reduce UTI frequency.
Methods: Health episode statistics data were used to identify PwMS presenting to a tertiary hospital with UTI over a 5-year period. Medical records were reviewed for demographic, MS and urological history. The seven PwMS with the highest numbers of encounters were seen in a multidisciplinary clinic to enable detailed assessments.
Results: 52 PwMS (25 female, 27 male) with mean age of 60 had 112 emergency department presentations and 102 inpatient admissions for UTI. 24 presented multiple times and were more likely to be older and male with progressive MS. Almost two-thirds were using a urinary catheter. Less than half were under current urological and neurological follow-up. Escherichia coli and Pseudomonas spp were the commonest organisms cultured. Resistance to antibiotics was more frequent in patients with multiple presentations.
Conclusions: PwMS presenting to hospital for UTIs are more often male, older, with progressive MS and high levels of disability. A small group of PwMS accounted for a large number of encounters. Preventative and management strategies can be applied in primary and secondary care settings, with an emphasis on bladder, catheter and general physical care.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.msard.2020.102432 | DOI Listing |
Eur J Neurol
January 2025
Multiple Sclerosis Center, Binaghi Hospital, Cagliari, Italy.
Background: The study aims to examine the age and disability levels at diagnosis in people with multiple sclerosis (PwMS), with and without autoimmune comorbidities (AC), and the effect of AC on NEDA-3 status and to characterize AC associated with MS, comparing also therapeutic approaches between MS patients with and without other AC.
Methods: This population-based, multicentric study enrolled patients with relapsing-remitting MS (RRMS) with AC (AC group) or without AC (reference group) from 14 MS centers. Demographical, clinical features, treatment information, MRI activity, EDSS, and no evidence of disease activity (NEDA-3) status were assessed at T36 (enrollment time) and T0 (36 months prior).
Mult Scler
December 2024
The Mellen Center for Multiple Sclerosis and Research, Department of Neurology, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Background: Little is known about how multiple sclerosis (MS) presents in Hispanic/Latinx (HL) people with MS (pwMS).
Objective: Compare age at onset (AAO) and onset severity between HL versus non-Hispanic White (NHW) pwMS.
Methods: A cross-sectional study leveraged the MS PATHS registry spanning seven US tertiary care institutions.
Eur J Neurol
January 2025
Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Background: Upper limb dysfunction is a common debilitating feature of relapsing-remitting multiple sclerosis (RRMS). We aimed to examine the longitudinal trajectory of the iPad®-based Manual Dexterity Test (MDT) and predictors of change over time.
Methods: We prospectively enrolled RRMS patients (limited to Expanded Disability Status Scale (EDSS) < 4).
J Neurol
December 2024
Department of Neurology, Martin-Luther-University of Halle-Wittenberg, Ernst-Grube-Strasse 40, 06120, Halle (Saale), Germany.
Background: People with multiple sclerosis (PwMS) experience various degrees of cognitive impairment (CI). Synaptic dysfunction may contribute to CI in PwMS but cerebrospinal fluid (CSF) synaptic biomarkers are unexplored in MS.
Objective: To assess the role of CSF synaptosomal-associated protein 25 (SNAP-25), β-synuclein, neurogranin and neurofilament light chain protein (NfL) in patients with early relapsing MS with and without CI.
medRxiv
December 2024
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
Background: Longitudinal tracking of multiple sclerosis (MS) symptoms in an individual's own environment may improve self-monitoring and clinical management for people with MS (pwMS).
Objective: We present a machine learning approach that enables longitudinal monitoring of clinically relevant patient-reported symptoms for pwMS by harnessing passively collected data from sensors in smartphones and fitness trackers.
Methods: We divide the collected data into discrete periods for each patient.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!