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Non-Surgical Management of Urinary Incontinence

Author/s: 
Ranna Al-Dossari, Monica Kalra, Julie Adkison, Bich-May Nguyen

Urinary incontinence management varies depending on the type of incontinence and severity of symptoms. Types of incontinence include stress (SUI), urge or overactive bladder (OAB), mixed, neurogenic, and overflow incontinence. First-line treatment for OAB and SUI is nonpharmacologic management. Behavioral therapy is first-line treatment for urge incontinence. Vaginal mechanical devices (cones, pessaries, and urethral plugs), pelvic floor muscle training, and electroacupuncture are recommended as first-line treatment for women with SUI. Biofeedback and electric muscle stimulation can be adjunctive therapy for SUI. Antimuscarinics and β-3 agonists can be used as adjective therapy for those with OAB who do not improve with behavioral therapy. β-3 agonists have less anticholinergic side effects compared with antimuscarinics for OAB. Adverse medication effects can often lead to discontinuation due to poor tolerability. Third-line therapies are for those who fail conservative and pharmacologic therapies and lack high-grade evidence. Neuromodulation, neurotoxin injections, vaginal laser therapy, and acupuncture are third-line in OAB management. Pharmacologic management with α-1-blockers is recommended as first-line treatment for moderate to severe overflow incontinence from BPH. 5-α reductase inhibitors can be used as an adjunct medication in those with refractory overflow incontinence symptoms and a PSA ≥ 1.5 mg/dL. Clean intermittent catheterization is first-line therapy for neurogenic bladder but can increase risk of catheter-associated urinary tract infection. Clinicians should assess type of incontinence, patient goals, side effect profile, and tolerability to determine an individualized treatment plan for each patient.

Keywords 
urinary incontinence incontinence stress urinary incontinence

Uterine Fibroids

Author/s: 
Marsh, E.E., Wegienka, G., Williams, D.R.

Uterine fibroids are sex–steroid responsive benign tumors primarily composed of smooth muscle cells and extracellular matrix that develop in the wall of the uterus.1 They are one of the most common neoplasms in reproductive-aged women. Lifetime prevalence estimates in premenopausal women range from 40% to 89%, depending on the method of detection, the study population, and the ages of those studied. Fibroids can range in size from less than 1 cm to more than 20 cm. Although not all individuals with fibroids have symptoms, typical symptoms include abnormal uterine bleeding/heavy menstrual bleeding (AUB/HMB), pelvic bulk symptoms (protruding abdomen, pressure on bladder and bowels), pain, and reproductive morbidity (ie, infertility). Due to their high prevalence and associated symptoms, fibroids are the leading cause of hysterectomy in the US and account for up to $34 billion annually in direct and indirect costs.

Keywords 
Uterine fibroid Urinary Bladder Leiomyoma Uterus Hysterectomy Extracellular Matrix Myocytes Smooth Muscle Infertility Abdomen

Sacral Neuromodulation for Neurogenic Lower Urinary Tract Dysfunction

Author/s: 
Liechti, M. D., van der Lely, S., Knüpfer, S. C., Abt, D., Kiss, B., Lietner, L., Mordasini, L., Tornic, J., Wöllner, J., Mehnert, U., Bachmann, L. M., Burkhard, F. C., Engeler, D. S., Pannek, J., Kessler, T. M.

BACKGROUND
Neurogenic lower urinary tract dysfunction (NLUTD) is a highly prevalent and disabling condition; nevertheless, standard treatments often remain unsatisfactory. Sacral neuromodulation (SNM) is a well-established therapy for non-NLUTD, but there is a lack of randomized controlled trials to show benefit in patients with NLUTD.

METHODS
For this sham-controlled, double-blind, multicenter trial, patients with refractory NLUTD (and intended SNM) were recruited at four Swiss SNM referral centers. After lead placement into the sacral foramina S3 (rarely, S4), all participants underwent SNM testing. If successful (≥50% improvement in key bladder diary variables), the neurostimulator was implanted for permanent stimulation. For 2 months, neuromodulation was optimized using subsensory stimulation with individually adjusted parameters. Thereafter, the neurostimulator remained on or was switched off (1:1 random allocation to group SNM ON or SNM OFF, respectively) for 2 months, followed by a neurourologic reevaluation. The primary outcome was success, as defined above, of SNM compared with baseline.

RESULTS
Of 124 patients undergoing SNM testing, 65 (52%) had successfully improved lower urinary tract function. Of these, 60 patients (median age, 49.5 years; 43 women) were randomly assigned to the intervention. After 2 months of intervention, the SNM ON group demonstrated a success rate of 76%. In the SNM OFF group, 42% of patients showed sustained SNM effects despite their neurostimulator being switched off during the last 2 months (odds ratio, 4.35; 95% confidence interval, 1.43 to 13.21; P=0.009). During the entire study period, there were 11 adverse events (6 dropouts; no dropouts during the intervention phase).

CONCLUSIONS
SNM effectively corrected refractory NLUTD in the short term in well-selected neurologic patients. (Funded by the Swiss National Science Foundation, Vontobel–Stiftung, Gottfried und Julia Bangerter–Rhyner Stiftung, Dr. Urs Mühlebach, and the Swiss Continence Foundation; ClinicalTrials.gov number, NCT02165774.)

Keywords 
Sacral Neuromodulation Lower Urinary Tract Dysfunction referral and consultation Odds Ratio Randomized Controlled Trials as Topic

Anticholinergic Drug Exposure and the Risk of Dementia: A Nested Case-Control Study

Author/s: 
Coupland, C.A.C., Hill, T., Dening, T., Morriss, R., Moore M., Hippisley-Cox J.

IMPORTANCE:

Anticholinergic medicines have short-term cognitive adverse effects, but it is uncertain whether long-term use of these drugs is associated with an increased risk of dementia.

OBJECTIVE:

To assess associations between anticholinergic drug treatments and risk of dementia in persons 55 years or older.

DESIGN, SETTING, AND PARTICIPANTS:

This nested case-control study took place in general practices in England that contributed to the QResearch primary care database. The study evaluated whether exposure to anticholinergic drugs was associated with dementia risk in 58 769 patients with a diagnosis of dementia and 225 574 controls 55 years or older matched by age, sex, general practice, and calendar time. Information on prescriptions for 56 drugs with strong anticholinergic properties was used to calculate measures of cumulative anticholinergic drug exposure. Data were analyzed from May 2016 to June 2018.

EXPOSURES:

The primary exposure was the total standardized daily doses (TSDDs) of anticholinergic drugs prescribed in the 1 to 11 years prior to the date of diagnosis of dementia or equivalent date in matched controls (index date).

MAIN OUTCOMES AND MEASURES:

Odds ratios (ORs) for dementia associated with cumulative exposure to anticholinergic drugs, adjusted for confounding variables.

RESULTS:

Of the entire study population (284 343 case patients and matched controls), 179 365 (63.1%) were women, and the mean (SD) age of the entire population was 82.2 (6.8) years. The adjusted OR for dementia increased from 1.06 (95% CI, 1.03-1.09) in the lowest overall anticholinergic exposure category (total exposure of 1-90 TSDDs) to 1.49 (95% CI, 1.44-1.54) in the highest category (>1095 TSDDs), compared with no anticholinergic drug prescriptions in the 1 to 11 years before the index date. There were significant increases in dementiarisk for the anticholinergic antidepressants (adjusted OR [AOR], 1.29; 95% CI, 1.24-1.34), antiparkinson drugs (AOR, 1.52; 95% CI, 1.16-2.00), antipsychotics (AOR, 1.70; 95% CI, 1.53-1.90), bladder antimuscarinic drugs (AOR, 1.65; 95% CI, 1.56-1.75), and antiepileptic drugs (AOR, 1.39; 95% CI, 1.22-1.57) all for more than 1095 TSDDs. Results were similar when exposures were restricted to exposure windows of 3 to 13 years (AOR, 1.46; 95% CI, 1.41-1.52) and 5 to 20 years (AOR, 1.44; 95% CI, 1.32-1.57) before the index date for more than 1095 TSDDs. Associations were stronger in cases diagnosed before the age of 80 years. The population-attributable fraction associated with total anticholinergic drug exposure during the 1 to 11 years before diagnosis was 10.3%.

CONCLUSIONS AND RELEVANCE:

Exposure to several types of strong anticholinergic drugs is associated with an increased risk ofdementia. These findings highlight the importance of reducing exposure to anticholinergic drugs in middle-aged and older people.

Keywords 
dementia middle aged cognition Antipsychotic drugs
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