The association between socioeconomic status and use of potentially inappropriate medications in older adults.

BACKGROUND: Potentially inappropriate medication (PIM) use is an important public health problem, particularly among older adults who may need multiple pharmacologic therapies for various chronic conditions. As socioeconomic status (SES) affects the quality of healthcare that individuals receive, SES may be associated with the use of PIM in older adults. This study aimed to determine whether low SES is associated with increased use of PIM. METHODS: We studied 4927 participants (aged 66-90 years) who were on at least one medication at visit five (2011-2013) of the Atherosclerosis Risk in Communities Study. We created a cumulative SES score categorized as high (7-9), middle (3-6), and low (0-2) based on education, income, and area deprivation index. We use multivariable logistic regression to examine the associations between SES and use of two or more PIM for older adults, defined by the 2019 Beers Criteria. RESULTS: A total of 31.0% and 6.9% of the participants used one or more PIM and two or more PIM, respectively. After adjusting for demographic characteristics and insurance type, low cumulative SES score was associated with significantly greater use of two or more PIM (odds ratio [OR] = 1.83 [95% confidence interval (CI) 1.18-2.86]), as was middle cumulative SES score (OR = 1.40 [95% CI 1.06-1.83]), compared to high cumulative SES score. The results remained significant after further adjusting for comorbidities and medication burden for low cumulative SES score (OR = 1.66 [95%CI 1.02-2.71]). CONCLUSIONS: We found that lower SES was associated with greater use of PIM among older adults independent of their medication burden and comorbidities, suggesting socioeconomic disparities in quality of medication management. Focused efforts targeting older adults with low SES to reduce PIM use may be needed to prevent adverse drug events.

Cost-effectiveness of Pneumococcal Vaccination Among Patients With CKD in the United States.

RATIONALE & OBJECTIVE: Pneumococcal vaccine is recommended for adults 65 years and older and those younger than 65 years with clinical indications (eg, diabetes, lung/heart disease, kidney failure, and nephrotic syndrome). Its cost-effectiveness in less severe chronic kidney disease (CKD) is uncharacterized. STUDY DESIGN: Cost-effectiveness analysis. SETTING & POPULATION: US adults aged 50 to 64 and 65 to 79 years stratified by CKD risk status: no CKD (estimated glomerular filtration rate≥60mL/min/1.73m2 and urinary albumin-creatinine ratio<30mg/g), CKD with moderate risk, CKD with high risk, and kidney failure (estimated glomerular filtration rate<15mL/min/1.73m2) or nephrotic-range albuminuria (urinary albumin-creatinine ratio≥2,000mg/g). Data sources were the National Health and Nutrition Examination Survey (NHANES) 1999 to 2004, Centers for Disease Control and Prevention, and the Atherosclerosis Risk in Communities (ARIC) Study. INTERVENTION(S): Vaccination compared to no vaccination. OUTCOMES: Incremental cost-effectiveness ratios based on US dollars per quality-adjusted life-year (QALY). MODEL, PERSPECTIVE, & TIMEFRAME: Markov model, US health sector perspective, and lifetime horizon. RESULTS: The prevalence of pneumococcal vaccination in NHANES 1999 to 2004 was 56.6% (aged 65-79 years), 28.5% (aged 50-64 years with an indication), and 9.7% (aged 50-64 years without an indication), with similar prevalences across CKD risk status. Pneumococcal vaccination was overall cost-effective (

Neighborhood Poverty and Sex Differences in Live Donor Kidney Transplant Outcomes in the United States.

BACKGROUND: Neighborhood poverty has been associated with worse outcomes after live donor kidney transplantation (LDKT), and prior work suggests that women with kidney disease may be more susceptible to the negative influence of poverty than men. As such, our goal was to examine whether poverty differentially affects women in influencing LDKT outcomes. METHODS: Using data from the Scientific Registry of Transplant Recipients and US Census, we performed multivariable Cox regression to compare outcomes among 18 955 women and 30 887 men who received a first LDKT in 2005-2014 with follow-up through December 31, 2016. RESULTS: Women living in poor (adjusted hazard ratio [aHR], 1.30; 95% confidence interval [CI], 1.13-1.50) and middle-income (aHR, 1.26; 95% CI, 1.14-1.40) neighborhoods had higher risk of graft loss than men, but there were no differences in wealthy areas (aHR, 1.07; 95% CI, 0.88-1.29). Women living in wealthy (aHR, 0.71; 95% CI, 0.59-0.87) and middle-income (aHR, 0.82; 95% CI, 0.74-0.92) neighborhoods incurred a survival advantage over men, but there were no statistically significant differences in mortality in poor areas (aHR, 0.85; 95% CI, 0.72-1.01). CONCLUSIONS: Given our findings that poverty is more strongly associated with graft loss in women, targeted efforts are needed to specifically address mechanisms driving these disparities in LDKT outcomes.

Socioeconomic status and risk of kidney dysfunction: the Atherosclerosis Risk in Communities study.

BACKGROUND: There is strong evidence of an association between socioeconomic status (SES) and end-stage renal disease (ESRD). However, the association of SES with the risk of chronic kidney disease (CKD) and the rate of change in kidney function is unclear. METHODS: A cohort of 14 086 participants with an estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 at baseline in the Atherosclerosis Risk in Communities study (1987-89) were studied. The association of annual household income, educational attainment and neighborhood deprivation with incident ESRD, incident CKD and change in eGFR using four measurements over ∼23 years was assessed. RESULTS: A total of 432 participants developed ESRD and 3510 developed CKD over a median follow-up time of ∼23 years. After adjustment for demographics and baseline eGFR, the hazard ratio (HR) for incident ESRD compared with the high-income group was 1.56 [95% confidence interval (CI) 1.22-1.99 in the medium-income group and 2.30 (95% CI 1.75-3.02) in the low-income group (P-trend < 0.001), and for CKD was 1.10 (95% CI 1.01-1.20) in the medium-income group and 1.30 (95% CI 1.17-1.44) in the low-income group (P-trend < 0.001). After full adjustments, the HR for ESRD was 1.33 (95% CI 1.03-1.70) in the medium-income group and 1.50 (95% CI 1.14-1.98) in the low-income group (P-trend = 0.003) and for CKD was 1.01 (95% CI 0.92-1.10) in the medium-income group and 1.04 (95% CI 0.93-1.16) in the low-income group (P-trend = 0.50). The eGFR decline was 5% and 15% steeper in the medium- and low-income groups, respectively, after full adjustment (P-trend < 0.001). Results were similar, with lower educational attainment and higher neighborhood deprivation being associated with adverse outcomes. CONCLUSIONS: SES (annual household income, educational attainment or neighborhood deprivation) was associated not only with ESRD risk but also with eGFR decline, although the association with CKD appeared weaker.

Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate.

Patients with chronic kidney disease and severely decreased glomerular filtration rate (GFR) are at high risk for kidney failure, cardiovascular disease (CVD) and death. Accurate estimates of risk and timing of these clinical outcomes could guide patient counseling and therapy. Therefore, we developed models using data of 264,296 individuals in 30 countries participating in the international Chronic Kidney Disease Prognosis Consortium with estimated GFR (eGFR)s under 30 ml/min/1.73m2. Median participant eGFR and urine albumin-to-creatinine ratio were 24 ml/min/1.73m2 and 168 mg/g, respectively. Using competing-risk regression, random-effect meta-analysis, and Markov processes with Monte Carlo simulations, we developed two- and four-year models of the probability and timing of kidney failure requiring kidney replacement therapy (KRT), a non-fatal CVD event, and death according to age, sex, race, eGFR, albumin-to-creatinine ratio, systolic blood pressure, smoking status, diabetes mellitus, and history of CVD. Hypothetically applied to a 60-year-old white male with a history of CVD, a systolic blood pressure of 140 mmHg, an eGFR of 25 ml/min/1.73m2 and a urine albumin-to-creatinine ratio of 1000 mg/g, the four-year model predicted a 17% chance of survival after KRT, a 17% chance of survival after a CVD event, a 4% chance of survival after both, and a 28% chance of death (9% as a first event, and 19% after another CVD event or KRT). Risk predictions for KRT showed good overall agreement with the published kidney failure risk equation, and both models were well calibrated with observed risk. Thus, commonly-measured clinical characteristics can predict the timing and occurrence of clinical outcomes in patients with severely decreased GFR.

Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis.

IMPORTANCE: Identifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed. OBJECTIVE: To evaluate the accuracy of the risk equations across different geographic regions and patient populations through individual participant data meta-analysis. DATA SOURCES: Thirty-one cohorts, including 721,357 participants with CKD stages 3 to 5 in more than 30 countries spanning 4 continents, were studied. These cohorts collected data from 1982 through 2014. STUDY SELECTION: Cohorts participating in the CKD Prognosis Consortium with data on end-stage renal disease. DATA EXTRACTION AND SYNTHESIS: Data were obtained and statistical analyses were performed between July 2012 and June 2015. Using the risk factors from the original risk equations, cohort-specific hazard ratios were estimated and combined using random-effects meta-analysis to form new pooled kidney failure risk equations. Original and pooled kidney failure risk equation performance was compared, and the need for regional calibration factors was assessed. MAIN OUTCOMES AND MEASURES: Kidney failure (treatment by dialysis or kidney transplant). RESULTS: During a median follow-up of 4 years of 721,357 participants with CKD, 23,829 cases kidney failure were observed. The original risk equations achieved excellent discrimination (ability to differentiate those who developed kidney failure from those who did not) across all cohorts (overall C statistic, 0.90; 95% CI, 0.89-0.92 at 2 years; C statistic at 5 years, 0.88; 95% CI, 0.86-0.90); discrimination in subgroups by age, race, and diabetes status was similar. There was no improvement with the pooled equations. Calibration (the difference between observed and predicted risk) was adequate in North American cohorts, but the original risk equations overestimated risk in some non-North American cohorts. Addition of a calibration factor that lowered the baseline risk by 32.9% at 2 years and 16.5% at 5 years improved the calibration in 12 of 15 and 10 of 13 non-North American cohorts at 2 and 5 years, respectively (P = .04 and P = .02). CONCLUSIONS AND RELEVANCE: Kidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts. However, in some regions the addition of a calibration factor may be necessary.

Preemptive deceased donor kidney transplantation: considerations of equity and utility.

BACKGROUND AND OBJECTIVES: There exists gross disparity in national deceased donor kidney transplant availability and practice: waiting times exceed 6 years in some regions, but some patients receive kidneys before they require dialysis. This study aimed to quantify and characterize preemptive deceased donor kidney transplant recipients and compare their outcomes with patients transplanted shortly after dialysis initiation. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Using the Scientific Registry of Transplant Recipients database, first-time adult deceased donor kidney transplant recipients between 1995 and 2011 were classified as preemptive, early (on dialysis ≤1 year), or late recipients. Random effects logistic regression and multivariate Cox proportional hazards regression were used to identify characteristics of preemptive deceased donor kidney transplant and evaluate survival in preemptive and early recipients, respectively. RESULTS: Preemptive recipients were 9.0% of the total recipient population. Patients with private insurance (adjusted odds ratio=3.15, 95% confidence interval=3.01-3.29, P<0.001), previous (nonkidney) transplant (adjusted odds ratio=1.94, 95% confidence interval=1.67-2.26, P<0.001), and zero-antigen mismatch (adjusted odds ratio=1.45, 95% confidence interval=1.37-1.54, P<0.001; Caucasians only) were more likely to receive preemptive deceased donor kidney transplant, even after accounting for center-level clustering. African Americans were less likely to receive preemptive deceased donor kidney transplant (adjusted odds ratio=0.44, 95% confidence interval=0.41-0.47, P<0.001). Overall, patients transplanted preemptively had similar survival compared with patients transplanted within 1 year after initiating dialysis (adjusted hazard ratio=1.06, 95% confidence interval=0.99-1.12, P=0.07). CONCLUSIONS: Preemptive deceased donor kidney transplant occurs most often among Caucasians with private insurance, and survival is fairly similar to survival of recipients on dialysis for <1 year.

Recipient age and time spent hospitalized in the year before and after kidney transplantation.

BACKGROUND: Kidney transplantation (KT) is a life-prolonging therapy in certain older end-stage renal disease patients, but concerns regarding peritransplantation morbidity remain. We estimate the relative increase in time spent hospitalized in the year post-KT for older versus younger end-stage renal disease patients. METHODS: This was a retrospective analysis of 27,247 Medicare-primary KT recipients from 2000 to 2005 using United States Renal Data System and Organ Procurement and Transplantation Network data. Time spent hospitalized was enumerated in the year pre-KT and post-KT from Medicare Part A claims. Excess inpatient days were the difference in an individual's post-KT and pre-KT hospital and skilled nursing facility days, standardized by time spent alive in the year post-KT. RESULTS: The median excess inpatient days were similar by age group (9 in recipients 65 years or older vs. 7 in recipients younger than 65 years); however, the distribution was skewed, such that many more older adults had large increases in inpatient time (8.6% totaled >120 excess inpatient days vs. 4.2% in younger recipients). Among older recipients, risk factors for poor outcomes included recipient age, donor age, longer dialysis vintage, diabetic nephropathy, and congestive heart failure. Reasons for posttransplantation hospitalization were similar by age with the exception of rehabilitation, which was common only in the 65+ age group. Mean inpatient costs were equivalent pretransplantation by age but significantly higher posttransplantation among older KT recipients. CONCLUSIONS: Posttransplantation morbidity may not be so different in most of the older individuals selected for KT; however, a minority fares much worse.