Burden of chronic cough in the UK: results from the 2018 National Health and Wellness Survey.

Background: Chronic cough, defined as daily cough for at least 8 weeks, negatively affects quality of life and work productivity and increases healthcare resource utilisation. We aimed to determine the prevalence and burden of chronic cough in the UK. Methods: Study participants were general population respondents to the 2018 UK National Health and Wellness Survey (NHWS). Respondents completed survey questions relating to health, quality of life, work productivity and activity impairment, and use of healthcare resources. Prevalence estimates were projected to the UK population using post-stratification sampling weights to adjust for sampling bias. The population with chronic cough was matched 1:3 with a group without chronic cough, using propensity score matchingon age, sex and the modified Charlson Comorbidity Index. Results: Of 15 000 NHWS respondents, 715 reported chronic cough in the previous 12 months and 918 during their lifetime. Weighted to the UK adult population, the 12-month prevalence of chronic cough was 4.9% and lifetime prevalence was 6.2%. Prevalence of chronic cough was higher among older respondents and those with smoking histories. Chronic cough respondents experienced higher rates of severe anxiety and depression in the past 2 weeks than matched controls. Poor sleep quality and loss of work productivity were also observed. More chronic cough respondents visited a healthcare provider in the past 6 months than respondents without chronic cough with a mean of 5.8 and 3.7 visits per respondent, respectively. Conclusion: Adults with chronic cough report lower quality of life, reduced work productivity and greater healthcare resource utilisation than matched controls without chronic cough.

Epidemiology Update of Erectile Dysfunction in Eight Countries with High Burden.

INTRODUCTION: Prior epidemiology studies on erectile dysfunction (ED) have varied in geography/place, time period, and methodology. Due to this variability, comparisons of data across studies are greatly limited. Additionally, little is known about the rates of comorbid ED and benign prostatic hyperplasia (BPH). AIM: To update the prevalence of ED and patient characteristics using a single methodology in 8 countries: Brazil, China, France, Germany, Italy, Spain, the United Kingdom, and the United States. METHODS: This retrospective cross-sectional study included men (≥18 years) who self-reported experiencing difficulty in achieving or maintaing an erection in the past 6 months in the 2015 and 2016 National Health and Wellness Surveys (N = 97,159). Pairwise comparisons between the United States and each of the other countries were performed among respondents with ED and no BPH, aged ≥18 years, and within the subset of men aged 40-70 years. MAIN OUTCOME MEASURES: ED prevalence (with BPH, with no BPH, and overall), health characteristics, and ED risk factors were assessed. RESULTS: ED with BPH was found to be < 6.0% in all countries. ED prevalence overall varied from 37.2% (Brazil) to 48.6% (Italy). Similar patterns were observed for the subset of men aged 40-70 years. Patients in Brazil were younger (aged ≥18: 43.85 vs. 52.35; aged 40-70: 52.94 vs. 56.76 years; for both, P < .05) than those in the United States. ED-related comorbidities were more common in European countries, comparatively. CONCLUSION: This study provides an important update and outlook to ED epidemiology in Brazil, China, France, Germany, Italy, Spain, the United Kingdom, and the United States. Overall, ED prevalence is high, relative to some previous estimates. Findings from this study highlight the continued burden ED plays in the lives of men in these countries. Goldstein I, Goren A, Li VW, et al. Epidemiology Update of Erectile Dysfunction in Eight Countries with High Burden. Sex Med Rev 2020;8:48-58.

Smoking Cessation Is Associated With Lower Indirect Costs.

OBJECTIVE: This study quantified differences in indirect costs due to decreased work productivity between current and former smokers. Former smokers were further categorized by number of years since quitting to assess corresponding differences. METHODS: Data on employed individuals were obtained from the 2013 US National Health and Wellness Survey (NHWS; N = 75,000). Indirect costs were calculated for current smokers and former smokers from weekly wages based on age and sex. RESULTS: The annual total indirect costs for current smokers were $1327.53, $1560.18, and $1839.87 higher than for those who quit 0 to 4 years, 5 to 10 years, and more than or equal to 11 years prior, respectively. There were no significant differences in mean total indirect costs between the former smoker groups. CONCLUSIONS: Current smokers showed significantly higher total annual indirect costs compared with former smokers, independently of the number of years since quitting smoking.

Accounting for individualized competing mortality risks in estimating postmenopausal breast cancer risk.

PURPOSE: Accurate risk assessment is necessary for decision-making around breast cancer prevention. We aimed to develop a breast cancer prediction model for postmenopausal women that would take into account their individualized competing risk of non-breast cancer death. METHODS: We included 73,066 women who completed the 2004 Nurses' Health Study (NHS) questionnaire (all ≥57 years) and followed participants until May 2014. We considered 17 breast cancer risk factors (health behaviors, demographics, family history, reproductive factors) and 7 risk factors for non-breast cancer death (comorbidities, functional dependency) and mammography use. We used competing risk regression to identify factors independently associated with breast cancer. We validated the final model by examining calibration (expected-to-observed ratio of breast cancer incidence, E/O) and discrimination (c-statistic) using 74,887 subjects from the Women's Health Initiative Extension Study (WHI-ES; all were ≥55 years and followed for 5 years). RESULTS: Within 5 years, 1.8 % of NHS participants were diagnosed with breast cancer (vs. 2.0 % in WHI-ES, p = 0.02), and 6.6 % experienced non-breast cancer death (vs. 5.2 % in WHI-ES, p < 0.001). Using a model selection procedure which incorporated the Akaike Information Criterion, c-statistic, statistical significance, and clinical judgement, our final model included 9 breast cancer risk factors, 5 comorbidities, functional dependency, and mammography use. The model's c-statistic was 0.61 (95 % CI [0.60-0.63]) in NHS and 0.57 (0.55-0.58) in WHI-ES. On average, our model under predicted breast cancer in WHI-ES (E/O 0.92 [0.88-0.97]). CONCLUSIONS: We developed a novel prediction model that factors in postmenopausal women's individualized competing risks of non-breast cancer death when estimating breast cancer risk.

Performance of the Breast Cancer Risk Assessment Tool Among Women Age 75 Years and Older.

BACKGROUND: The Breast Cancer Risk Assessment Tool (BCRAT, "Gail model") is commonly used for breast cancer prediction; however, it has not been validated for women age 75 years and older. METHODS: We used Nurses' Health Study (NHS) data beginning in 2004 and Women's Health Initiative (WHI) data beginning in 2005 to compare BCRAT's performance among women age 75 years and older with that in women age 55 to 74 years in predicting five-year breast cancer incidence. BCRAT risk factors include: age, race/ethnicity, age at menarche, age at first birth, family history, history of benign breast biopsy, and atypia. We examined BCRAT's calibration by age by comparing expected/observed (E/O) ratios of breast cancer incidence. We examined discrimination by computing c-statistics for the model by age. All statistical tests were two-sided. RESULTS: Seventy-three thousand seventy-two NHS and 97 081 WHI women participated. NHS participants were more likely to be non-Hispanic white (96.2% vs 84.7% in WHI, P < .001) and were less likely to develop breast cancer (1.8% vs 2.0%, P = .02). E/O ratios by age in NHS were 1.16 (95% confidence interval [CI] = 1.09 to 1.23, age 57-74 years) and 1.31 (95% CI = 1.18 to 1.45, age ≥ 75 years, P = .02), and in WHI 1.03 (95% CI = 0.97 to 1.09, age 55-74 years) and 1.10 (95% CI = 1.00 to 1.21, age ≥ 75 years, P = .21). E/O ratio 95% confidence intervals crossed one among women age 75 years and older when samples were limited to women who underwent mammography and were without significant illness. C-statistics ranged between 0.56 and 0.58 in both cohorts regardless of age. CONCLUSIONS: BCRAT accurately predicted breast cancer for women age 75 years and older who underwent mammography and were without significant illness but had modest discrimination. Models that consider individual competing risks of non-breast cancer death may improve breast cancer risk prediction for older women.