Study Type – Symptom prevalence (prospective cohort)
Level of Evidence 1b
What’s known on the subject? and What does the study add?
Few prevalence studies used current ICS LUTS symptom definitions and to our knowledge no studies exist that estimate total worldwide prevalence of reported LUTS symptoms. One of the primary goals of this analysis was to estimate current and future worldwide prevalence of LUTS among adults. Our estimation model suggests that LUTS are highly prevalent worldwide, with an increasing burden predicted over time.
OBJECTIVE
• To estimate and predict worldwide and regional prevalence of lower urinary tract symptoms (LUTS), overactive bladder (OAB), urinary incontinence (UI) and LUTS suggestive of bladder outlet obstruction (LUTS/BOO) in 2008, 2013 and 2018 based on current International Continence Society symptom definitions in adults aged ≥20 years.
PATIENTS AND METHODS
• Numbers and prevalence of individuals affected by each condition were calculated with an estimation model using gender‐ and age‐stratified prevalence data from the EPIC study along with gender‐ and age‐stratified worldwide and regional population estimates from the US Census Bureau International Data Base.
RESULTS
• An estimated 45.2%, 10.7%, 8.2% and 21.5% of the 2008 worldwide population (4.3 billion) was affected by at least one LUTS, OAB, UI and LUTS/BOO, respectively. By 2018, an estimated 2.3 billion individuals will be affected by at least one LUTS (18.4% increase), 546 million by OAB (20.1%), 423 million by UI (21.6%) and 1.1 billion by LUTS/BOO (18.5%).
• The regional burden of these conditions is estimated to be greatest in Asia, with numbers of affected individuals expected to increase most in the developing regions of Africa (30.1–31.1% increase across conditions, 2008–2018), South America (20.5–24.7%) and Asia (19.7–24.4%).
CONCLUSIONS
• This model suggests that LUTS, OAB, UI and LUTS/BOO are highly prevalent conditions worldwide. Numbers of affected individuals are projected to increase with time, with the greatest increase in burden anticipated in developing regions.
• There are important worldwide public‐health and clinical management implications to be considered over the next decade to effectively prevent and manage these conditions.
To develop a benchmark measure of US physicians' level of knowledge and extent of use of pharmacogenomic testing, we conducted an anonymous, cross-sectional, fax-based, national survey. Of 397,832 physicians receiving the survey questionnaire, 10,303 (3%) completed and returned it; the respondents were representative of the overall US physician population. The factors associated with the decision to test were evaluated using χ(2) and multivariate logistic regression. Overall, 97.6% of responding physicians agreed that genetic variations may influence drug response, but only 10.3% felt adequately informed about pharmacogenomic testing. Only 12.9% of physicians had ordered a test in the previous 6 months, and 26.4% anticipated ordering a test in the next 6 months. Early and future adopters of testing were more likely to have received training in pharmacogenomics, but only 29.0% of physicians overall had received any education in the field. Our findings highlight the need for more effective physician education on the clinical value, availability, and interpretation of pharmacogenomic tests.
Despite the clinical benefit of statin therapy and the numerous strategies used to improve adherence, no strategy has used direct communication of genetic test results to the patient as an adherence and persistence motivator. We investigated in a real-world setting the effect of a process of providing KIF6 test results and risk information directly to 647 tested patients on 6-month statin adherence (proportion of days covered (PDC)) and persistence compared with concurrent non-tested matched controls. Adjusted 6-month statin PDC was significantly greater in tested patients: 0.77 (95% confidence interval (CI) 0.72-0.82) vs controls 0.68 (95% CI 0.63-0.73), P<0.0001. Significantly more tested patients were adherent (PDC⩾0.80) (63.4% (59.6-67.1%) vs 45.0% (41.1-48.8%), P<0.0001) and persisted on therapy (69.1% (65.4-72.5%) vs 53.3% (49.4-57.1%), P<0.0001). Similar results were observed in a secondary comparison with 779 unmatched patients who declined testing. The Additional KIF6 Risk Offers Better Adherence to Statins trial provides the first evidence that pharmacogenetic testing may modify patient adherence.
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