Background: In 2012, updated cervical cancer screening recommendations were released with consensus on Papanicolaou (Pap) testing every 3 years for women age 21–65 years or Pap–human papillomavirus (HPV) cotesting at 5-year intervals for women age 30–65 years. Primary study aims: Assess current use of Pap-HPV cotesting and describe local population trends over time in Pap and Pap-HPV cotesting. Secondary aim: Assess sociodemographic factors correlating with screening. Methods: We assessed Rochester Epidemiology Project data for Pap and Pap-HPV cotesting among women age 16 years and older living in Olmsted County, Minnesota, yearly from 2005 (study population n = 47,203) through 2016 (study population n = 49,510). We calculated 3-year (Pap) and 5-year (Pap-HPV) moving prevalence rates of screening as proportion of eligible population. Multivariable logistic regression was used to assess factors potentially associated with screening. Results: In 2016, 64.6% of 27,418 eligible 30- to 65-year-old women were up to date with cervical cancer screening; 60.8% had received Pap-HPV cotest screening. Significant declines in Pap completion rates over time were observed in all age groups, including an unexpected decline in 21- to 29-year-old women. Coincident with decreasing Pap screening rates, Pap-HPV cotesting significantly increased among women age 30–65 years, from 10.0% in 2007 to 60.8% in 2016. Conclusions: This suggests increasing adoption of 2012 screening recommendations in the 30- to 65-year-old population. However, decline in Pap screening among 21- to 29-year-old women is concerning. Disparities by race, ethnicity, smoking status, and comorbidity level were observed. Results suggest need for multilevel patient and clinician interventions to increase cervical cancer screening adherence.
Pre-Travel Healthcare Utilization Among Travelers Who Visit Friends and Relatives
Objective The goal of this study was to identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an ageing population and to determine social and behavioural factors associated with frailty trajectories. Design Population-based cohort study. Setting Olmsted County, Minnesota. Participants Olmsted County, Minnesota residents aged 60–89 in 2005. Primary outcome measure Changes in frailty over an 8-year period from 2005 to 2012, measured by constructing a yearly frailty index. Frailty trajectories by decade of age were determined using k-means cluster modelling for longitudinal data. Results After adjustment for age and sex, all social and behavioural factors (education, marital status, living arrangements, smoking status and alcohol use) were significantly associated with frailty trajectories in those aged 60–69 and 70–79 years. After further adjustment for baseline frailty, the likelihood of being in the high frailty trajectory was greatest among those reporting concerns from relatives/friends about alcohol consumption (OR (95% CI) 2.26 (1.19 to 4.29)) and those with less than a high school education (OR (95% CI) 1.98 (1.32 to 2.96)) in the 60–69 year olds. In the 70–79 year olds, the largest associations were observed among those with concerns from oneself about alcohol consumption (OR (95% CI) 1.92 (1.23 to 3.00)), those with less than a high school education (OR (95% CI) 1.57 (1.12 to 2.22)), and those living with family (vs spouse; OR (95% CI) 1.76 (1.05 to 2.94)). No factors remained associated with frailty trajectories in the 80–89 year olds after adjustment for baseline frailty. Conclusions Social and behavioural factors are associated with frailty, with stronger associations observed in younger ages. Recognition of social and behavioural factors associated with increasing frailty may inform interventions for individuals at risk of worsening frailty, specifically when targeted at younger individuals.
Frailty Trajectories in an Elderly Population‐Based Cohort
Objectives To identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an aging population and to estimate associations between frailty trajectories and emergency department visits, hospitalizations, and all‐cause mortality. Design Population‐based cohort study. Setting Olmsted County, Minnesota. Participants Olmsted County, Minnesota residents aged 60–89 in 2005. Measurements Longitudinal changes in frailty between 2005 and 2012 were measured by constructing a yearly Rockwood frailty index incorporating body mass index, 17 comorbidities, and 14 activities of daily living. The frailty index measures variation in health status as the proportion of deficits present of the 32 considered (range 0–1). Results Of the 16,443 Olmsted County residents aged 60–89 in 2005, 12,270 (74.6%) had at least 3 years of frailty index measures and were retained for analysis. The median baseline frailty index increased with age (0.11 for 60–69, 0.14 for 70–79, 0.19 for 80–89). Three distinct frailty trajectories were identified in individuals aged 60–69 at baseline and two trajectories in those aged 70–79 and 80–89. Within each decade of age, increasing frailty trajectories were associated with greater risks of emergency department visits, hospitalization, and all‐cause mortality, even after adjustment for baseline frailty index. Conclusion The number of frailty trajectories differed according to age. Within each age group, those in the highest frailty trajectory had greater healthcare use and worse survival. Frailty trajectories may offer a way to target aging individuals at high risk of hospitalization or death for therapeutic or preventive interventions.
Cardiovascular disease after liver transplantation: When, What, and Who Is at Risk
AbstractBackground & AimsChronic kidney disease (CKD) after liver transplant (LT) is associated with increased long‐term mortality. The impact of gender on CKD before and after LT is unknown. To further define risk factors and analyse gender differences in the incidence and progression of CKD after liver transplant.MethodsFour hundred and fifty‐five consecutive adult primary solitary LT recipients were included. Iothalamate clearance tests performed over time were analysed.ResultsMean age was 51.4 ± 10.4 years with 63% males. A percentage of 29.1% of females and 21.1% of males had a GFR<60 ml/min/1.73 m2 and 10.2% of females and 5.9% of males had GFR<30 ml/min/1.73 m2 prior to transplant. At 1 year, 52.6% of recipients tested (69.6% females, 43.0% males) had GFR<60 ml/min/1.73 m2 and 7.3% (11.6% females, 4.9% males) had GFR<30 ml/min/1.73 m2. Pre‐LT GFR<60 ml/min/1.73 m2 [OR 3.28, (1.76–6.10), P ≤ 0.001], female gender (OR 2.96, (1.72–5.10), P < 0.001) and age [OR 1.09, (1.05–1.12), P < 0.001] were independently predictive of stage ≥3 CKD at 1 year post‐LT. Female gender [OR 2.52, (1.25–4.71), P = 0.004], age [OR 1.05, (1.02–1.08), P = 0.003] and NASH [OR 2.95, (1.06–8.21), P = 0.039] were independently predictive of ≥stage 3 CKD at 5 years post‐LT. Pre‐LT diabetes was associated with stage 4 CKD at 5 years [OR 2.91, (1.33–6.36), P = 0.008] post‐LT.ConclusionsIn addition to age and pre‐LT CKD, female gender and NASH are independent predictors of ≥stage 3 CKD post‐LT. Gender‐based approaches to optimize modifiable risk factors are needed to improved post‐transplant renal function.