The evolution of metabolic and cardiovascular disease (CVD) complications after liver transplantation (LT) is poorly characterized. We aim to illustrate the prevalence of obesity and metabolic syndrome (MS), define the cumulative incidence of CVD, and characterize risk factors associated with these comorbidities after LT. A retrospective review of 455 consecutive LT recipients from 1999 to 2004 with an 8-to 12-year follow-up was performed. Obesity increased from 23.8% (4 months) to 40.8% (3 years) after LT. Increase in body mass index predicted MS at 1 year after LT (odds ratio, 1.1; P < 0.001, per point). CVD developed in 10.6%, 20.7%, and 30.3% of recipients within 1, 5, and 8 years, respectively. Age, diabetes, hypertension, glomerular filtration rate < 60 mL/minute, prior CVD, ejection fraction < 60%, left ventricular hypertrophy, and serum troponin (TN) > 0.07 ng/mL were associated with CVD on univariate analysis. Age (hazard ratio [HR], 1.03; 95% confidence interval [CI], 1.01-1.06; P 5 0.019), diabetes (HR, 1.78; 95% CI, 1.09-2.92; P 5 0.022), prior history of CVD (HR, 2.46; 95% CI, 1.45-4.16; P < 0.001), and serum TN > 0.07 ng/mL (HR, 1.98; 95% CI, 1.23-3.18; P 5 0.005) were independently associated with CVD in the long term. Smoking history (ever), sex, hyperlipidemia, and serum ferritin levels were not predictive of CVD. Tacrolimus use versus noncalcineurin-based immunosuppression (HR, 0.26; 95% CI, 0.14-0.49; P < 0.001) was associated with reduced risk of CVD but not versus cyclosporine (HR, 0.67; 95% CI, 0.30-1.49; P 5 0.322). CVD is common after LT. Independent of MS, more data are needed to identify nonconventional risk factors and biomarkers like serum TN. Curbing weight gain in the early months after transplant may impact MS and subsequent CVD in the long term. Liver Transpl 21:889-896, 2015. V C 2015 AASLD.Received December 31, 2014; accepted March 22, 2015. See Editorial on Page 870Patient selection for liver transplantation (LT) is a multifaceted process aimed at identifying those at highest risk of poor outcomes. Many patients are excluded as candidates because of severe metabolic syndrome (MS) or cardiovascular disease (CVD). Despite exclusion of these individuals, LT recipients remain at high risk for development of CVD, but the risk is poorly characterized. Obesity and MS are more common in LT recipients than in the general
ObjectiveThe 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.DesignPopulation-based cohort study.SettingOlmsted County, Minnesota.ParticipantsOlmsted County, Minnesota residents aged 60–89 in 2005.Primary outcome measureChanges 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.ResultsAfter 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.ConclusionsSocial 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.
BACKGROUND/OBJECTIVES Little is known about longitudinal changes in frailty and how these changes impact adverse outcomes in elderly patients. Thus, we identified distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an aging population and estimated 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 among the 32 considered (range: 0–1). RESULTS Among 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 older age: 0.11 for 60–69 year olds, 0.14 for 70–79 year olds, and 0.19 for 80–89 year olds. Among those 60–69 years of age at baseline, 3 distinct frailty trajectories were identified, whereas 2 trajectories were identified for the 70–79 and 80–89 year olds. Within each decade of age, increasing frailty trajectories were associated with increased risks of emergency department visits, hospitalizations, and all-cause mortality, even after adjustment for baseline frailty index. CONCLUSION The number of frailty trajectories differed by age. Within each age group, those in the highest frailty trajectory experienced greater healthcare utilization and worse survival. Frailty trajectories may offer a way to target aging individuals at higher risk of hospitalization or death for therapeutic or preventive interventions.
Background: Persons with low socioeconomic status may be disproportionately at risk for multimorbidity. Methods: Adults aged ≥20 years on 4/1/2015 from 7 counties in Minnesota were identified using the Rochester Epidemiology Project (population-based sample). A composite measure of neighborhood socioeconomic disadvantage, the area deprivation index (ADI), was estimated at the census block group level (n = 251). The prevalence of 21 chronic conditions was obtained to calculate the proportion of persons with multimorbidity (≥2 chronic conditions) and severe multimorbidity (≥5 chronic conditions). Hierarchical logistic regression was used to estimate the association of ADI with multimorbidity and severe multimorbidity using odds ratios (OR). Results: Among 198,941 persons (46.7% male, 30.6% aged ≥60 years), the age-and sex-standardized (to the United States 2010 census) median prevalence (Q1, Q3) was 23.4% (21.3%, 25.9%) for multimorbidity and 4.8% (4.0%, 5.7%) for severe multimorbidity. Compared with persons in the lowest quintile of ADI, persons in the highest quintile had a 50% increased risk of multimorbidity (OR 1.50, 95% CI 1.39-1.62) and a 67% increased risk of severe multimorbidity (OR 1.67, 95% CI 1.51-1.86) after adjusting for age, sex, race, and ethnicity. Associations were stronger after further adjustment for individual level of education; persons in the highest quintile had a 78% increased risk of multimorbidity (OR 1.78, 95% CI 1.62-1.96) and a 92% increased risk of severe multimorbidity (OR 1.92, 95% CI 1.72-2.13). There was evidence of interactions between ADI and age, between ADI and sex, and between ADI and education. After age 70 years, no difference in the risk of multimorbidity was observed across quintiles of ADI. The pattern of increasing multimorbidity with increasing ADI was more pronounced in women. Finally, there was less variability across quintiles of ADI for the most highly educated group. Conclusions: Higher ADI was associated with increased risk of multimorbidity, and the associations were strengthened after adjustment for individual level of education, suggesting that neighborhood context plays a role in health above and beyond individual measures of socioeconomic status. Furthermore, associations were more pronounced in younger persons and women, highlighting the importance of interventions to prevent chronic conditions in younger women, in particular.
Purpose We tested the hypothesis that clinician knowledge, clinician barriers, and perceived parental barriers relevant to the human papillomavirus (HPV) vaccination account for the variation in vaccine delivery at the practice-site level. Methods We conducted a survey from October 2015 through January 2016 among primary care clinicians (n=280) in a 27-county geographic region to assess clinician knowledge, clinician barriers, and perceived parental barriers regarding HPV vaccination. Primary care clinicians included family medicine physicians, general pediatricians, and family and pediatric nurse-practitioners. We also used the Rochester Epidemiology Project to measure the HPV vaccination delivery. Specifically we used administrative data to measure receipt of at least one valid HPV vaccine dose (initiation) and receipt of three valid HPV vaccine doses (completion) among 9 to 18 year old patients residing in the same 27-county geographic region. We assessed associations of clinician survey data with variation in vaccine delivery at the clinical site using administrative data on patients aged 9 to 18 years (n=68,272). Results Consistent with our hypothesis, we found that greater knowledge of HPV and the HPV vaccination was associated with higher rates of HPV vaccination initiation (Incidence rate ratio [IRR]=1.05) and completion of three doses (IRR=1.28). We also found support for the hypothesis that greater perceived parental barriers to the HPV vaccination was associated with lower rates of initiation (IRR=0.94) and completion (IRR=0.90). These IRRs were statistically significant even after adjustment for site-level characteristics including percent white, percent female, percent ages 9–13, and percent with government insurance or self-pay at each site. Conclusions Clinician knowledge and their report of the frequency of experiencing parental barriers is associated with HPV vaccine delivery rates—initiation and completion. Higher measures of knowledge correlated with higher rates. Fewer perceived occurrences of parental barriers correlated with lower rates. These data can guide efforts to improve HPV vaccine delivery in clinical settings.
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.
Objective: To understand the interaction of multimorbidity and functional limitations in determining health-care utilization and survival in older adults. Methods: Olmsted County, Minnesota, residents aged 60–89 years in 2005 were categorized into four cohorts based on the presence or absence of multimorbidity (≥3 chronic conditions from a list of 18) and functional limitations (≥1 limitation in an activity of daily living from a list of 9), and were followed through December 31, 2016. Andersen–Gill and Cox regression estimated hazard ratios (HRs) for emergency department (ED) visits, hospitalizations, and death using persons with neither multimorbidity nor functional limitations as the reference (interaction analyses). Results: Among 13,145 persons, 34% had neither multimorbidity nor functional limitations, 44% had multimorbidity only, 4% had functional limitations only, and 18% had both. Over a median follow-up of 11 years, 5906 ED visits, 2654 hospitalizations, and 4559 deaths occurred. Synergistic interactions on an additive scale of multimorbidity and functional limitations were observed for all outcomes; however, the magnitude of the interactions decreased with advancing age. The HR (95% confidence interval) for death among persons with both multimorbidity and functional limitations was 5.34 (4.40–6.47) at age 60–69, 4.16 (3.59–4.83) at age 70–79, and 2.86 (2.45–3.35) at age 80–89 years. Conclusion: The risk of ED visits, hospitalizations, and death among persons with both multimorbidity and functional limitations is greater than additive. The magnitude of the interaction was strongest for the youngest age group, highlighting the importance of interventions to prevent and effectively manage multimorbidity and functional limitations early in life.
BackgroundLimited English proficiency is associated with health disparities and suboptimal health outcomes. Although Limited English proficiency is a barrier to effective health care, its association with inpatient health care utilization is unclear. The aim of this study was to examine the association between patients with limited English proficiency, and emergency department visits and hospital admissions.MethodsWe compared emergency department visits and hospitalizations in 2012 between patients requiring interpreter services and age-matched English-proficient patients (who did not require interpreters), in a retrospective cohort study of adult patients actively empanelled to a large primary health care network in a medium-sized United States city (n = 3,784).ResultsPatients who required interpreter services had significantly more Emergency Department visits (841 vs 620; P ≤ .001) and hospitalizations (408 vs 343; P ≤ .001) than patients who did not require interpreter services. On regression analysis the risk of a first Emergency Department visit was 60 % higher for patients requiring interpreter services than those who did not (unadjusted hazard ratio [HR], 1.6; 95 % confidence interval (CI), 1.4-1.9; P < .05), while that of a first hospitalization was 50 % higher (unadjusted HR, 1.5; 95 % CI, 1.2-1.8; P < .05). These findings remained significant after adjusting for age, sex, medical complexity, residency and outpatient health care utilization.ConclusionsPatients who required interpreter services had higher rates of inpatient health care utilization compared with patients who did not require an interpreter. Further research is required to understand factors associated with this utilization and to develop sociolinguistically tailored interventions to facilitate appropriate health care provision for this population.
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