Evaluation of a Systems-Based Tobacco Cessation Program Using Bedside Volunteers.

INTRODUCTION: Hospitalization and post-discharge provide an opportune time for tobacco cessation. This study tested the feasibility, uptake, and cessation outcomes of a hospital-based tobacco cessation program, delivered by volunteers to the bedside with post-discharge referral to Quitline services. Patient characteristics associated with Quitline uptake and cessation were assessed. METHODS: Between February and November 2016, trained hospital volunteers approached inpatient tobacco users on six pilot units. Volunteers shared a cessation brochure and used the ASK-ADVISE-CONNECT model to connect ready to quit patients to the Delaware Quitline via fax-referral. Volunteers administered a follow-up survey to all admitted tobacco users via telephone or email at 3-months post-discharge. RESULTS: Of the 743 admitted tobacco users, 531 (72%) were visited by a volunteer, and 97% (531/547) of those approached, accepted the visit. Over one-third (201/531; 38%) were ready to quit and fax-referred to the Quitline, and 36% of those referred accepted Quitline services. At 3 months post-discharge, 37% (135/368) reported not using tobacco in the last 30 days; intent-to-treat cessation rate was 18% (135/743). In a multivariable regression model of Quitline fax-referral completion, receiving nicotine replacement therapy (NRT) during hospitalization was the strongest predictor (odds ratios [OR] = 1.97; 95% confidence interval [CI] = 1.34 to 2.90). In a model of 3-month cessation, receiving Quitline services (OR = 3.21, 95% CI = 1.35 to 7.68) and having coronary artery disease (OR = 2.28; 95% CI = 1.11 to 4.68) were associated with tobacco cessation, but a volunteer visit was not. CONCLUSIONS: An "opt-out" tobacco cessation service using trained volunteers is feasible for connecting patients to Quitline services. IMPLICATIONS: This study demonstrates the feasibility of a systems-based approach to link inpatients to evidence-based treatment for tobacco use. This model used trained bedside volunteers to connect inpatients to a state-funded Quitline after discharge that offers free cessation treatment of telephone coaching and cessation medications. Receiving NRT during hospitalization positively impacted Quitline referral, and engagement with Quitline resources was critical to tobacco abstinence post-discharge. Future work is needed to evaluate the cost-effectiveness and sustainability of this volunteer model.

Neighborhood Environment and Poor Maternal Glycemic Control-Associated Complications of Gestational Diabetes Mellitus.

Introduction: Risk of complications due to gestational diabetes mellitus is increasing in the U.S., particularly among individuals from racial minorities. Research has focused largely on clinical interventions to prevent complications, rarely on individuals' residential environments. This retrospective cohort study aims to examine the association between individuals' neighborhoods and complications of gestational diabetes mellitus. Methods: Demographic and clinical data were extracted from electronic health records and linked to American Community Survey data from the U.S. Census Bureau for 2,047 individuals who had 2,164 deliveries in 2014-2018. Data were analyzed in 2021-2022 using Wilcoxon rank sum test and chi-square test for bivariate analyses and logistic regression for analysis of independent effects. All census tract-based variables used in the model were dichotomized at the median. Results: Bivariate analysis showed that the average percentage of adults earning <$35,000 was higher in neighborhoods where individuals with complications were living than in neighborhoods where individuals without complications were living (30.40%±12.05 vs 28.94%±11.71, p=0.0145). Individuals who lived in areas with ≥8.9% of residents aged >25 years with less than high school diploma had a higher likelihood of complications than those who lived in areas with <8.9% of such residents (33.43% vs 29.02%, p=0.0272). Individuals who lived in neighborhoods that had ≥1.8% of households receiving public assistance were more likely to have complications than those who lived in areas where <1.8% of households received public assistance (33.33% vs 28.97%, p=0.0287). Logistic regression revealed that the odds of deliveries with complications were 44% higher for individuals with obesity (OR=1.44; 95% CI=1.17, 1.77), 35% greater for individuals residing in neighborhoods with higher percentages of households living below the poverty level (OR=1.35; 95% CI=1.09, 1.66), and 28% lower for individuals from neighborhoods where a higher percentage of households had no vehicles available for transportation to work (OR=0.72; 95% CI=0.59, 0.89). Conclusions: Clinical interventions in concert with environmental changes could contribute to preventing maternal and neonatal complications of gestational diabetes mellitus.

Association between lack of health insurance and risk of death and ESRD: results from the Kidney Early Evaluation Program (KEEP).

BACKGROUND: Uninsured adults in the United States have poor access to health care services and worse health outcomes than insured adults. Little is known about the association between lack of insurance and chronic kidney disease (CKD) progression to end-stage renal disease (ESRD) or death in patients at high risk of kidney disease. We used 2000-2011 data from the National Kidney Foundation's Kidney Early Evaluation Program (KEEP) to examine this association. METHODS: The study population included KEEP participants younger than 65 years. Outcomes were time to ESRD (chronic kidney failure treated by renal replacement therapy) and time to death. Incident ESRD was ascertained by linkage to the US Renal Data System, and vital status, by linkage to the Social Security Administration Death Master File. We used Cox proportional hazard regression to examine the association between insurance and risk of death or ESRD after adjusting for demographic variables. RESULTS: Of 86,588 participants, 27.8% had no form of insurance, 10.3% had public insurance, and 61.9% had private insurance; 15.0% had CKD (defined as estimated glomerular filtration rate <60 mL/min/1.73 m(2) or urine albumin-creatinine ratio ≥ 30 mg/g), 63.3% had hypertension, and 27.7% had diabetes. Of participants with CKD, 29.3% had no health insurance. Participants without insurance were younger, more likely to be Hispanic and to have 12 or fewer years of education, and less likely to have seen a physician in the past year. After adjustment for demographic characteristics, uninsured KEEP participants were 82% more likely than privately insured participants to die (HR, 1.82; 95% CI, 1.56-2.12; P < 0.001) and 72% more likely to develop ESRD (HR, 1.72; 95% CI, 1.33-2.22; P < 0.001). The association between insurance and outcomes varied by CKD stage. CONCLUSIONS: Lack of insurance is an independent risk factor for early death and ESRD in this population at high risk of kidney disease. Considering the high morbidity and mortality and increasing cost associated with ESRD, access to appropriate health insurance coverage is warranted.

Association of physician care with mortality in Kidney Early Evaluation Program (KEEP) participants.

BACKGROUND: People with or at high risk of chronic kidney disease (CKD) are at increased risk of premature morbidity and mortality. We sought to examine the effect of care provided by a primary care physician (PCP) on survival for all participants in the National Kidney Foundation's Kidney Early Evaluation Program (KEEP) and the effect of care provided by a nephrologist on survival for KEEP participants with estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m(2). METHODS: Provision of care by a PCP (n = 138,331) or nephrologist (n = 10,797) was defined using self-report of seeing that provider within the past year. Survival was ascertained by linking KEEP data to the Social Security Administration Death Master File. Multivariable Cox proportional hazards models examining the relationship between primary care and nephrologist provider status adjusted for age, sex, race, smoking status, education, health insurance, diabetes, cardiovascular disease, hypertension, cancer, albuminuria, body mass index, baseline eGFR, and hemoglobin level, with nephrology models further adjusting for calcium, phosphorus, and parathyroid hormone levels. RESULTS: Of all participants, 70.9% (98,050 of 138,331) reported receiving PCP care; older age and female sex were associated with this care. During a median follow-up of 4.2 years, 4,836 deaths occurred. After multivariable adjustment, receiving PCP care and mortality were not associated (HR, 0.94; 95% CI, 0.86-1.03; P = 0.2). Of participants with eGFR <60 mL/min/1.73 m(2), 10.1% (1,095 of 10,797) reported receiving nephrology care; younger age and male sex were associated with receipt of nephrology care. During a mean follow-up of 2.2 years, 558 deaths occurred. After multivariable adjustment, nephrologist care was not associated with mortality (HR, 1.01; 95% CI, 0.75-1.36; P = 0.9). These associations were not modified by other specialist care (endocrinologist or cardiologist). CONCLUSIONS: For all KEEP participants, neither PCP nor nephrology care was associated with improved survival. These results highlight the need to explore the connection between access to health care and outcomes in persons at high risk of or with CKD.

Physician utilization, risk-factor control, and CKD progression among participants in the Kidney Early Evaluation Program (KEEP).

BACKGROUND: Chronic kidney disease (CKD) is a well-known risk factor for cardiovascular mortality, but little is known about the association between physician utilization and cardiovascular disease risk-factor control in patients with CKD. We used 2005-2010 data from the National Kidney Foundation's Kidney Early Evaluation Program (KEEP) to examine this association at first and subsequent screenings. METHODS: Control of risk factors was defined as control of blood pressure, glycemia, and cholesterol levels. We used multinomial logistic regression to examine the association between participant characteristics and seeing a nephrologist after adjusting for kidney function and paired t tests or McNemar tests to compare characteristics at first and second screenings. RESULTS: Of 90,009 participants, 61.3% had a primary care physician only, 2.9% had seen a nephrologist, and 15.3% had seen another specialist. The presence of 3 risk factors (hypertension, diabetes, and hypercholesterolemia) increased from 26.8% in participants with CKD stages 1-2 to 31.9% in those with stages 4-5. Target levels of all risk factors were achieved in 7.2% of participants without a physician, 8.3% of those with a primary care physician only, 9.9% of those with a nephrologist, and 10.3% of those with another specialist. Of up to 7,025 participants who met at least one criterion for nephrology consultation at first screening, only 12.3% reported seeing a nephrologist. Insurance coverage was associated strongly with seeing a nephrologist. Of participants who met criteria for nephrology consultation, 406 (5.8%) returned for a second screening, of whom 19.7% saw a nephrologist. The percentage of participants with all risk factors controlled was higher at the second screening (20.9% vs 13.3%). CONCLUSION: Control of cardiovascular risk factors is poor in the KEEP population. The percentage of participants seeing a nephrologist is low, although better after the first screening. Identifying communication barriers between nephrologists and primary care physicians may be a new focus for KEEP.

Intubation Timing in COVID-19 Based on ROX Index and Association With Patient Outcomes.

BACKGROUND: Timing of intubation in COVID-19 is controversial. We sought to determine the association of the ROX (Respiratory rate-OXygenation) index defined as [Formula: see text] divided by [Formula: see text] divided by breathing frequency at the time of intubation with clinical outcomes. METHODS: We conducted a retrospective cohort study of patients with COVID-19 who were intubated by using a database composed of electronic health record data from patients with COVID-19 from 62 institutions. Multivariable logistic regression was used to evaluate the impact of ROX index score on mortality. We analyzed the ROX index as a continuous variable as well as a categorical variable by using cutoffs previously described as predicting success with high-flow nasal cannula. RESULTS: Of 1,087 subjects in the analysis group, the median age was 64 years, and more than half had diabetes; 55.2% died, 1.8% were discharged to hospice, 7.8% were discharged to home, 27.3% were discharged to another institution, and 7.8% had another disposition. Increasing age and a longer time from admission to intubation were associated with mortality. After adjusting for sex, race, age, comorbidities, and days from admission to intubation, an increasing ROX index score at the time of intubation was associated with a lower risk of death. In a logistic regression model, each increase in the ROX index score by 1 at the time of intubation was associated with an 8% reduction in odds of mortality (odds ratio 0.92, 95% CI 0.88-0.95). We also found an odds ratio for death of 0.62 (95% CI 0.47-0.81) for subjects with an ROX index score ≥ 4.88 at the time of intubation. CONCLUSIONS: Among a cohort of subjects with COVID-19 who were ultimately intubated, a higher ROX index at the time of intubation was positively associated with survival.

Feasibility of a Novel COVID-19 Telehealth Care Management Program Among Individuals Receiving Treatment for Opioid Use Disorder: Analysis of a Pilot Program.

BACKGROUND: The emergence of COVID-19 exacerbated the existing epidemic of opioid use disorder (OUD) across the United States due to the disruption of in-person treatment and support services. Increased use of technology including telehealth and the development of new partnerships may facilitate coordinated treatment interventions that comprehensively address the health and well-being of individuals with OUD. OBJECTIVE: The analysis of this pilot program aimed to determine the feasibility of delivering a COVID-19 telehealth care management program using SMS text messages for patients receiving OUD treatment. METHODS: Eligible individuals were identified from a statewide opioid treatment program (OTP) network. Those who screened positive for COVID-19 symptoms were invited to connect to care management through a secure SMS text message that was compliant with Health Insurance Portability and Accountability Act standards. Care management monitoring for COVID-19 was provided for a period of up to 14 days. Monitoring services consisted of daily SMS text messages from the care manager inquiring about the participant's physical health in relation to COVID-19 symptoms by confirming their temperature, if the participant was feeling worse since the prior day, and if the participant was experiencing symptoms such as coughing or shortness of breath. If COVID-19 symptoms worsened during this observation period, the care manager was instructed to refer participants to the hospital for acute care services. The feasibility of the telehealth care management intervention was assessed by the rates of adoption in terms of program enrollment, engagement as measured by the number of SMS text message responses per participant, and retention in terms of the number of days participants remained in the program. RESULTS: Between January and April 2021, OTP staff members referred 21 patients with COVID-19 symptoms, and 18 (82%) agreed to be contacted by a care manager. Participants ranged in age from 27 to 65 years and primarily identified as female (n=12, 67%) and White (n=15, 83%). The majority of participants were Medicaid recipients (n=14, 78%). There were no statistically significant differences in the demographic characteristics between those enrolled and not enrolled in the program. A total of 12 (67%) patients were enrolled in the program, with 2 (11%) opting out of SMS text message communication and choosing instead to speak with a care manager verbally by telephone. The remaining 10 participants answered a median of 7 (IQR 4-10) SMS text messages and were enrolled in the program for a median of 9 (IQR 7.5-12) days. No participants were referred for acute care services or hospitalized during program enrollment. CONCLUSIONS: These results demonstrate the feasibility of a novel telehealth intervention to monitor COVID-19 symptoms among OTP patients in treatment for OUD. Further research is needed to determine the applicability of this intervention to monitor patients with comorbid chronic conditions in addition to the acceptability among patients and providers using the SMS text messaging modality.

Implementation of a clinical pathway to screen and treat medical inpatients for opioid withdrawal.

Background: Opioid-related inpatient hospital stays are increasing at alarming rates. Unidentified and poorly treated opioid withdrawal may be associated with inpatients leaving against medical advice and increased health care utilization. To address these concerns, we developed and implemented a clinical pathway to screen and treat medical service inpatients for opioid withdrawal. Methods: The pathway process included a two-item universal screening instrument to identify opioid withdrawal risk (Opioid Withdrawal Risk Assessment [OWRA]), use of the validated Clinical Opiate Withdrawal Scale (COWS) to monitor opioid withdrawal symptoms and severity, and a 72-h buprenorphine/naloxone-based treatment protocol. Implementation outcomes including adoption, fidelity, and sustainability of this new pathway model were measured. To assess if there were changes in nursing staff acceptability, appropriateness, and adoption of the new pathway process, a cross-sectional survey was administered to pilot four hospital medical units before and after pathway implementation. Results: Between 2016 and 2018, 72.4% (77,483/107,071) of admitted patients received the OWRA screening tool. Of those, 3.0% (2,347/77,483) were identified at risk for opioid withdrawal. Of those 2,347 patients, 2,178 (92.8%) were assessed with the COWS and 29.6% (645/2,178) were found to be in active withdrawal. A total of 49.5% (319/645) patients were treated with buprenorphine/naloxone. Fifty-seven percent (83/145) of nurses completed both the pre- and post-pathway implementation surveys. Analysis of the pre/post survey data revealed that nurse respondents were more confident in their ability to determine which patients were at risk for withdrawal (p = .01) and identify patients currently experiencing withdrawal (p < .01). However, they cited difficulty working with the patient population and coordinating care with physicians. Conclusions: Our study demonstrates a process for successfully implementing and sustaining a clinical pathway to screen and treat medical service inpatients for opioid withdrawal. Standardizing care delivery for patients in opioid withdrawal can also improve nursing confidence when working with this complex population.

Prediction model for COVID-19 patient visits in the ambulatory setting.

Objective: Healthcare systems globally were shocked by coronavirus disease 2019 (COVID-19). Policies put in place to curb the tide of the pandemic resulted in a decrease of patient volumes throughout the ambulatory system. The future implications of COVID-19 in healthcare are still unknown, specifically the continued impact on the ambulatory landscape. The primary objective of this study is to accurately forecast the number of COVID-19 and non-COVID-19 weekly visits in primary care practices. Materials and Methods: This retrospective study was conducted in a single health system in Delaware. All patients' records were abstracted from our electronic health records system (EHR) from January 1, 2019 to July 25, 2020. Patient demographics and comorbidities were compared using t-tests, Chi square, and Mann Whitney U analyses as appropriate. ARIMA time series models were developed to provide an 8-week future forecast for two ambulatory practices (AmbP) and compare it to a naïve moving average approach. Results: Among the 271,530 patients considered during this study period, 4,195 patients (1.5%) were identified as COVID-19 patients. The best fitting ARIMA models for the two AmbP are as follows: AmbP1 COVID-19+ ARIMAX(4,0,1), AmbP1 nonCOVID-19 ARIMA(2,0,1), AmbP2 COVID-19+ ARIMAX(1,1,1), and AmbP2 nonCOVID-19 ARIMA(1,0,0). Discussion and Conclusion: Accurately predicting future patient volumes in the ambulatory setting is essential for resource planning and developing safety guidelines. Our findings show that a time series model that accounts for the number of positive COVID-19 patients delivers better performance than a moving average approach for predicting weekly ambulatory patient volumes in a short-term period.

Racial and ethnic differences in albuminuria in individuals with estimated GFR greater than 60 mL/min/1.73 m(2): results from the Kidney Early Evaluation Program (KEEP).

BACKGROUND: Albuminuria is an important marker for chronic kidney disease and progression to end-stage renal disease in the general population; understanding racial and ethnic differences can help inform efforts to reduce health disparities. We sought to estimate independent associations of race/ethnicity with albuminuria to determine whether observed differences were attributable to known kidney disease risk factors. METHODS: This cross-sectional study included 64,161 Kidney Early Evaluation Program (KEEP) participants, 2000-2008, with estimated glomerular filtration rate > or = 60 mL/min/1.73 m(2), not on regular dialysis therapy, and without a previous kidney transplant. Albuminuria (urine albumin-creatinine ratio > or = 30 mg/g) was examined by self-reported race and ethnicity. Covariates were age, sex, educational level, body mass index, diabetes status or glucose level, hypertension status or blood pressure measurement, smoking status, health insurance status, and geographic region. RESULTS: Albuminuria prevalences were 8% (n = 2,303) in whites, 11% (n = 2,310) in African Americans, 9% (n = 730) in Hispanics, 10% (n = 381) in Asians, and 15% (n = 344) in American Indians/Alaska Natives. Compared with whites, odds of albuminuria were higher for all groups after multivariate adjustment. Odds were highest for American Indians/Alaska Natives (adjusted OR, 1.93; 95% CI, 1.70-2.20), then Asians (adjusted OR, 1.42; 95% CI, 1.26-1.61), African Americans (adjusted OR, 1.38; 95% CI, 1.29-1.47), and Hispanics (adjusted OR, 1.19; 95% CI, 1.08-1.31). CONCLUSIONS: In the KEEP study population, albuminuria prevalence was higher in African Americans, Hispanics, Asians, and American Indians/Alaska Natives than in non-Hispanic whites, suggesting a need for screening for early detection of kidney damage, especially in people at increased risk, in the community primary care setting.

Prevalence of CKD and comorbid illness in elderly patients in the United States: results from the Kidney Early Evaluation Program (KEEP).

BACKGROUND: Elderly individuals with chronic kidney disease (CKD) have high rates of comorbid conditions, including cardiovascular disease and its risk factors, and CKD-related complications. In individuals aged > or = 65 years, we sought to describe the prevalence of CKD determined from laboratory test results in the Kidney Early Evaluation Program (KEEP; n = 27,017) and National Health and Nutrition Examination Survey (NHANES) 1999-2006 (n = 5,538) and the prevalence of diagnosed CKD determined from billing codes in the Medicare 5% sample (n = 1,236,946). In all 3 data sources, we also explored comorbid conditions and CKD-related complications. METHODS: CKD was identified as decreased estimated glomerular filtration rate (<60 mL/min/1.73 m(2)) or increased albumin-creatinine ratio in KEEP and NHANES; CKD was identified using International Classification of Diseases, Ninth Revision, Clinical Modification codes in Medicare. Investigated comorbid conditions included diabetes, hypertension, high cholesterol level, coronary artery disease, congestive heart failure, cerebrovascular disease, peripheral vascular disease, and cancer, and CKD-related complications included anemia, hypocalcemia, hyperphosphatemia, and hyperparathyroidism. RESULTS: The prevalence of CKD was approximately 44% in both KEEP and NHANES participants, and the prevalence of diagnosed CKD was 7% in Medicare beneficiaries. In all 3 data sets, the prevalence of CKD or diagnosed CKD was higher in participants aged > or = 80 years and those with comorbid conditions. For KEEP and NHANES participants, the prevalence of most comorbid conditions and CKD complications increased with decreasing estimated glomerular filtration rate. For participants with CKD stages 3-5, a total of 29.2% (95% CI, 27.8-30.6) in KEEP and 19.9% (95% CI, 17.0-23.1) in NHANES had anemia, 0.7% (95% CI, 0.4-0.9) and 0.6% (95% CI, 0.3-1.3) had hypocalcemia, 5.4% (95% CI, 4.7-6.1) and 6.4% (95% CI, 5.1-8.0) had hyperphosphatemia, and 52.0% (95% CI, 50.4-53.6) and 30.0% (95% CI, 25.9-34.3) had hyperparathyroidism, respectively. CONCLUSIONS: CKD is common in the elderly population and is associated with high frequencies of concomitant comorbid conditions and biochemical abnormalities. Because CKD is not commonly diagnosed, greater emphasis on physician education may be beneficial.

Risk factors for chronic kidney disease among American Indians and Alaska Natives--findings from the Kidney Early Evaluation Program.

BACKGROUND: American Indians and Alaska Natives (AIAN) have a high incidence of end-stage renal disease. Less is known about chronic kidney disease (CKD) among AIAN and whether risk factors differ for low estimated glomerular filtration rate (eGFR) versus albuminuria with a normal eGFR. METHODS: Cross-sectional study examining the associations of age, sex, smoking, obesity, diabetes, hypertension, family history, and geographic region with CKD among a screened population of AIAN participants in the Kidney Early Evaluation Program from 2000 to 2006. CKD was defined by the presence of either a low eGFR, <60 ml/min/1.73 m(2), or albuminuria, a urine albumin/creatinine ratio > or =30 mg/g. RESULTS: The prevalence of any CKD was 29%, of low eGFR was 17%, and of albuminuria with a normal eGFR was 12%. Older age was the strongest predictor of low eGFR (61+ years OR 8.42, 95% CI 5.92-11.98), followed by hypertension (OR 2.38, 95% CI 1.74-3.26). In contrast, diabetes (OR 2.04, 95% CI 1.57-2.64) and hypertension (OR 2.63, 95% CI 1.93-3.59) were the only predictors of albuminuria among persons with a normal eGFR. CONCLUSION: The burden of CKD was high among this screened population of AIAN, and different risk factor patterns were associated with low eGFR and albuminuria. Innovative programs and longitudinal research are needed to address CKD among AIAN.

Development and Validation of a Pragmatic Electronic Phenotype for CKD.

BACKGROUND AND OBJECTIVES: Poor identification of individuals with CKD is a major barrier to research and appropriate clinical management of the disease. We aimed to develop and validate a pragmatic electronic (e-) phenotype to identify patients likely to have CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The e-phenotype was developed by an expert working group and implemented among adults receiving in- or outpatient care at five healthcare organizations. To determine urine albumin (UA) dipstick cutoffs for CKD to enable use in the e-phenotype when lacking urine albumin-to-creatinine ratio (UACR), we compared same day UACR and UA results at four sites. A sample of patients, spanning no CKD to ESKD, was randomly selected at four sites for validation via blinded chart review. RESULTS: The CKD e-phenotype was defined as most recent eGFR <60 ml/min per 1.73 m2 with at least one value <60 ml/min per 1.73 m2 >90 days prior and/or a UACR of ≥30 mg/g in the most recent test with at least one positive value >90 days prior. Dialysis and transplant were identified using diagnosis codes. In absence of UACR, a sensitive CKD definition would consider negative UA results as normal to mildly increased (KDIGO A1), trace to 1+ as moderately increased (KDIGO A2), and ≥2+ as severely increased (KDIGO A3). Sensitivity, specificity, and diagnostic accuracy of the CKD e-phenotype were 99%, 99%, and 98%, respectively. For dialysis sensitivity was 94% and specificity was 89%. For transplant, sensitivity was 97% and specificity was 91%. CONCLUSIONS: The CKD e-phenotype provides a pragmatic and accurate method for EHR-based identification of patients likely to have CKD.

Chronic kidney disease, prevalence of premature cardiovascular disease, and relationship to short-term mortality.

BACKGROUND: Chronic kidney disease (CKD) is recognized as an independent cardiovascular disease (CVD) risk state, particularly in the elderly, and has been defined by levels of estimated glomerular filtration rate (eGFR) and markers of kidney damage. The relationship between CKD and CVD in younger and middle-aged adults has not been fully explored. METHODS: Community volunteers completed surveys regarding past medical events and underwent blood pressure and laboratory testing. Chronic kidney disease was defined as an eGFR <60 mL x min(-1) x 1.73 m(-2) or urine albumin-creatinine ratio (ACR) > or =30 mg/g. Premature CVD was defined as self-reported myocardial infarction or stroke at <55 years of age in men and <65 years of age in women. Mortality was ascertained by linkage to national data systems. RESULTS: Of 31 417 participants, the mean age was 45.1 +/- 11.2 years, 75.5% were female, 36.8% African American, and 21.6% had diabetes. A total of 20.6% were found to have CKD, with the ACR and eGFR being the dominant positive screening tests in the younger and older age deciles, respectively. The prevalences of premature myocardial infarction (MI), stroke, or death, and the composite were 5.3%, 4.7%, 0.8%, 9.2%, and 2.5%, 2.2%, 0.2%, 4.2% for those with and without CKD, respectively (P < .0001 for composite). Multivariable analysis found CKD (OR 1.44, 95% CI 1.27-1.63), age (OR 1.05 [per year], 95% CI 1.04-1.06), hypertension (OR 1.61, 95% CI 1.40-1.84), diabetes (OR 2.03, 95% CI 1.79-2.29), smoking (OR 1.91, 95% CI 1.66-2.21), and less than high school education (OR 1.59, 95% CI 1.37-1.85) as the most significantly associated factors for premature CVD or death (all P < .0001). Survival analysis found those with premature MI or stroke and CKD had the poorest short-term survival over the next 3 years after screening. CONCLUSIONS: Chronic kidney disease is an independent predictor of MI, stroke, and death among men and women younger than age 55 and 65 years, respectively. These data suggest the biologic changes that occur with kidney failure promote CVD at an accelerated rate that cannot be fully explained by conventional risk factors or older age. Screening for CKD by using both the ACR and eGFR can identify younger and middle-aged individuals at high risk for premature CVD and near-term death.

The Kidney Early Evaluation Program (KEEP): program design and demographic characteristics of the population.

BACKGROUND: Chronic kidney disease (CKD) recently was identified as a public health problem requiring a public health prevention approach. The National Kidney Foundation Kidney Early Evaluation Program (KEEP), initiated in 2000, meets the definition of a public health program, offering surveillance and early detection of CKD. This report aims to detail demographic characteristics of KEEP participants and compare them with characteristics of participants in the National Health and Nutrition Examination (NHANES) 1999-2004. METHODS: KEEP is a CKD screening program enrolling individuals 18 years and older with a family history of kidney disease or personal or family history of diabetes or hypertension. Simple descriptive statistics were used in the analysis. For comparison, the NHANES sample was restricted to participants with hypertension or diabetes or a family history of hypertension or diabetes. RESULTS: The number of KEEP participants grew exponentially over time. Most participants were aged 46 to 60 years. KEEP enrolled twice as many women as men (68.4% versus 31.5%). Minorities were well represented (33.4% African American, 12.3% Hispanic). Almost 58% of participants had some college or more education, and close to 85.0% had a physician. Compared with NHANES, the KEEP population was older and included a larger proportion of women and African Americans. Self-reported hypertension, self-reported diabetes, obesity, and CKD were higher in KEEP (52.9% versus 38.5%, 26.6% versus 9.9%, 43.6% versus 35.5%, and 22.8% versus 17.6%, respectively). CONCLUSIONS: KEEP has been successful in enrolling individuals at risk of kidney disease, evidenced by the high levels of self-reported hypertension and diabetes.

CKD and cardiovascular disease in screened high-risk volunteer and general populations: the Kidney Early Evaluation Program (KEEP) and National Health and Nutrition Examination Survey (NHANES) 1999-2004.

BACKGROUND: Chronic kidney disease (CKD) is recognized as an independent cardiovascular disease risk state. The relationship between CKD and cardiovascular disease in volunteer and general populations has not been explored. METHODS: The National Kidney Foundation Kidney Early Evaluation Program (KEEP) is a community-based health-screening program to raise kidney disease awareness and detect CKD for early disease intervention in individuals 18 years or older with diabetes, hypertension, or family history of kidney disease, diabetes, or hypertension. KEEP volunteers completed surveys and underwent blood pressure and laboratory testing. Estimated glomerular filtration rate (eGFR) was computed, and urine albumin-creatinine ratio (ACR) was measured. In KEEP, CKD was defined as eGFR less than 60 mL/min/1.73 m(2) or ACR of 30 mg/g or greater. Cardiovascular disease was defined as self-reported myocardial infarction or stroke. Data were compared with National Health and Nutrition Examination Survey (NHANES) 1999-2004 data for prevalence of cardiovascular disease risk factors and cardiovascular outcomes. RESULTS: Of 69,244 KEEP participants, mean age was 53.4 +/- 15.7 years, 68.3% were women, 33.0% were African American, and 27.6% had diabetes. Of 17,061 NHANES participants, mean age was 45.1 +/- 0.27 years, 52% were women, 11.2% were African American, and 6.7% had diabetes. In KEEP, 26.8% had CKD, and in NHANES, 15.3%. ACR was the dominant positive screening test for younger age groups, and eGFR, for older age groups, for both populations. Prevalences of myocardial infarction or stroke were 16.5% in KEEP and 15.1% in NHANES (P < 0.001) and 7.8% in KEEP and 3.7% in NHANES (P < 0.001) for individuals with and without CKD, respectively. In adjusted analysis of both KEEP and NHANES data, CKD was associated with a significantly increased risk of prevalent myocardial infarction or stroke (odds ratio, 1.34; 95% confidence interval, 1.25 to 1.43; odds ratio, 1.37; 95% confidence interval, 1.10 to 1.70, respectively). In KEEP, short-term mortality was greater in individuals with CKD (1.52 versus 0.33 events/1,000 patient-years). CONCLUSIONS: CKD is independently associated with myocardial infarction or stroke in participants in a voluntary screening program and a randomly selected survey population. Heightened concerns regarding risks in volunteers yielded greater cardiovascular disease prevalence in KEEP, which was associated with increased short-term mortality.

Independent components of chronic kidney disease as a cardiovascular risk state: results from the Kidney Early Evaluation Program (KEEP).

BACKGROUND: The relationships of anemia, microalbuminuria, and estimated glomerular filtration rate (eGFR) with cardiovascular disease (CVD) and subsequent death are not fully understood. We hypothesized that each of these chronic kidney disease-related measures would have an independent relationship with CVD. METHODS: A cohort of 37 153 persons screened in the National Kidney Foundation's Kidney Early Evaluation Program were followed up for a median of 16.0 months (range, 0.2-47.5 months). Participants were volunteers who completed surveys regarding past medical events and who underwent blood pressure and laboratory testing. Estimated glomerular filtration rate was computed using a 4-variable equation. Mortality was ascertained by linkage to national data systems. RESULTS: Of 37 153 persons, the mean +/- SD age was 52.9 +/- 15.9 years, and 68.7% were female. A total of 1835 (4.9%) had a self-reported history of myocardial infarction, 1336 (3.6%) had a history of stroke, and 2897 (7.8%) had a history of myocardial infarction or stroke. Multivariate analysis controlling for age demonstrated that the following were independently associated with CVD: male sex (odds ratio [OR], 1.64; P<.001), smoking (OR, 1.73; P<.001), body mass index (OR, 1.01; P = .03), diabetes mellitus (OR, 1.66; P<.001), hypertension (OR, 1.77; P<.001), eGFR of 30 to 59 mL/min per 173 m(3) (OR, 1.37; P = .001), hemoglobin level of 12.8 g/dL or less (OR, 1.45; P<.001), and microalbuminuria of greater than 30 mg/L (OR, 1.28; P = .01). Survival analysis found CVD (OR, 3.02; P = .003), chronic kidney disease (OR, 1.98; P = .05), and the combination (OR, 3.80; P<.001) to be independent predictors of mortality. Persons with a combination of all 3 chronic kidney disease measures (anemia, microalbuminuria, and eGFR of <60 mL/min per 1.73 m(2)) had the lowest survival of about 93% by the end of 30 months. CONCLUSION: Anemia, eGFR, and microalbuminuria were independently associated with CVD, and when all 3 were present, CVD was common and survival was reduced.

Patient Satisfaction with Care After Coronary Revascularization.

OBJECTIVE: Bridging the Divides (Bridges), a Centers for Medicare and Medicaid Services-funded program, developed a post-hospitalization care management infrastructure integrating information technology-enabled informatics with patient care for ischemic heart disease patients. The objective of this study was to assess patient satisfaction with the Bridges program and determine the patient characteristics associated with higher satisfaction. METHODS: All adult English-speaking patients who underwent a percutaneous coronary intervention, coronary artery bypass grafting, or catheterization plus acute myocardial infarction and agreed to participate in the Bridges program were eligible. A survey instrument was administered to address patient satisfaction of care received, aspects of care that patients appreciated, and challenges faced. Descriptive statistics were calculated, and primary analyses included comparisons of overall patient satisfaction after discharge between procedure type, and according to age, sex, race, Elixhauser comorbidity count, and length of stay. RESULTS: Four hundred and sixty-seven (46%) had complete or partial response rates. There was a statistically significant difference in the overall satisfaction among patients undergoing percutaneous coronary intervention, coronary artery bypass grafting, or catheterization plus acute myocardial infarction (p = 0.023). There were significant procedure by sex (p = 0.052) and procedure by age (p = 0.039) interactions. There were no statistically significant differences in overall satisfaction according to age, sex, race, comorbidity count, or length of stay. CONCLUSIONS: This study identified several important components related to patient satisfaction for patients with ischemic heart disease. Results found that patients who underwent coronary artery bypass grafting were reportedly "very satisfied" when compared with patients who underwent percutaneous coronary intervention and catheterization plus acute myocardial infarction, as well as significant age and sex interactions between procedures.

Reduced 6-month resource use and costs associated with cilostazol in patients after successful coronary stent implantation: results from the Cilostazol for RESTenosis (CREST) trial.

BACKGROUND: The CREST trial demonstrated that after successful coronary stent implantation, the 6-month rate of target vessel revascularization (TVR) was similar (15.4% vs 16%, P = .90) for the 2 treatment groups, but restenosis rate was lower (22.0% vs 34.5%, P = .002) in cilostazol-treated patients. We sought to evaluate resource use, cost, and cost-effectiveness of cilostazol in CREST. METHODS: A total of 705 patients were randomized to cilostazol 100 mg twice daily (n = 354) versus placebo (n = 351) for 6 months. Resources included rehospitalizations, medications, and outpatient services. Costs were determined from the Medicare fee schedule. Cilostazol was priced at 1.64 dollars a day. Base-case cost and cost-effectiveness analysis was performed for the entire population using TVR as a measure of effectiveness. Sensitivity analysis was conducted among 526 patients because restenosis data were available only for this patient population. A bootstrap resample approach (5000 samples) was used to obtain confidence intervals for cost differences. RESULTS: For the entire population, costs of rehospitalizations, concomitant medications, outpatient tests, and physician or emergency department visits were lower during follow-up for cilostazol-treated patients. Overall, total 6-month follow-up costs remained 447 dollars lower for cilostazol (4178 dollars vs 4625 dollars), although this difference did not reach significance (95% CI -1458 dollars to 515 dollars). Cilostazol is likely a cost-saving strategy (similar rate of TVR and lower costs). Sensitivity analysis showed that cilostazol is likely a dominant strategy (lower restenosis rate and costs, 85% dominant, 88.9% <1000 dollars per restenosis averted). CONCLUSIONS: Treatment with cilostazol is likely a cost-saving or dominant strategy in patients with successful coronary bare metal stent implantation. Cilostazol may offer a low-cost alternative to restenosis prevention in patients who do not receive drug-eluting stents.