A population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia.

STUDY OBJECTIVES: To determine if a population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia (ICBT-I) affects dispensed medications and provider encounters compared with usual care. METHODS: A pragmatic hybrid study design was used to evaluate both the implementation strategy and the long-term effects of ICBT-I on health care utilization in an integrated health system. Adult members with insomnia (a diagnosis or insomnia medication dispensation) or at high risk of insomnia (a diagnosis of depression or anxiety) were randomized to receive information on either an ICBT-I program (intervention arm) or in-person classes on insomnia (usual-care arm). Outcomes included dispensed insomnia medications and provider encounters over 12 months. The effectiveness of our implementation of ICBT-I on the target population was determined by an intention-to-treat analysis and by regression models comparing those who engaged in ICBT-I with matched usual-care arm controls. RESULTS: A total of 136,630 participants were randomized. Six hundred thirty-eight (0.96%) accessed the ICBT-I program while 431 (0.66%) attended 1 or more usual-care insomnia classes. Dispensed insomnia medications and provider encounters were no different in the ICBT-I arm vs the usual-care arm (intention-to-treat) or among those who engaged in ICBT-I vs matched usual-care arm controls. CONCLUSIONS: Since ICBT-I program engagement was low, additional strategies to improve engagement should be explored. ICBT-I did not result in a reduction in several measures of health care utilization; nevertheless, it offers an alternative and accessible approach to managing population insomnia. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Trial of Internet-Based Cognitive Behavioral Therapy for Insomnia in Patients Prescribed Insomnia Medications; URL: https://clinicaltrials.gov/ct2/show/NCT03313466; Identifier: NCT03313466. CITATION: Derose SF, Rozema E, Chen A, Shen E, Hwang D, Manthena P. A population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2021;17(8):1675-1684.

Does Providing Positive Airway Pressure for Sleep Apnea Change Health Care Utilization?

BACKGROUND: Sleep apnea is underdiagnosed and thus undertreated. If therapy for sleep apnea results in reduced health care utilization in an entire treated population, then decision-makers will have key information for allocating limited health care resources. OBJECTIVES: To determine whether positive airway pressure (PAP) for sleep apnea was associated with reduced health care utilization in an entire treated population. RESEARCH DESIGN: This was a retrospective cohort; propensity score-matched cases and noncases; pre-post analyses of individual subject utilization. SUBJECTS: Electronic health records were used to identify adult subjects diagnosed with sleep apnea and dispensed PAP therapy (cases) and those without either diagnosed sleep apnea or dispensed PAP therapy (noncases). MEASURES: Acute care hospital days and dispensed medication days supply were compared in cases and noncases. Negative binomial regression was used to model utilization for up to 5 years before and 7 years after PAP dispensation (cases) or a random date (noncases). The association of PAP with changing annual utilization was estimated. RESULTS: There were 13,271 cases and 13,271 matched noncases from 2008 to 2012 for analyses. Trends in the annual rate of acute care utilization were no different between cases and noncases (rate ratio, 0.98, P=0.543). Trends in the annual rate of medication utilization were no different between cases and noncases (rate ratio, 1.008, P=0.112). CONCLUSIONS: PAP dispensation for sleep apnea did not appear to reduce the rate of acute care and medication utilization over several years of follow-up in a large integrated health care system.

Emergency Department Vital Signs and Outcomes After Discharge.

OBJECTIVE: Vital signs are critical markers of illness severity in the emergency department (ED). Providers need to understand the abnormal vital signs in older adults that are problematic. We hypothesized that in patients age > 65 years discharged from the ED, there are abnormal vital signs that are associated with an admission to an inpatient bed within 7 days of discharge. METHODS: We conducted a retrospective cohort study using data from a regional integrated health system of members age > 65 years during the years 2009 to 2010. We used univariate contingency tables to assess the relationship between hospital admission within 7 days of discharge and vital sign (including systolic blood pressure [sBP], heart rate [HR], body temperature, and pulse oximetry [SpO2 ] values measured closest to discharge) using standard thresholds for abnormal and thresholds derived from the study data. RESULTS: Of 104,025 ED discharges, 4,638 (4.5%) were followed by inpatient admission within 7 days. Vital signs had a greater odds of admission beyond a single cutoff. The vital signs with at least twice the odds of admission were sBP < 97 mm Hg (odds ratio [OR] = 2.02, 95% CI = 1.57-2.60), HR > 101 beats/min (OR = 2.00 95% CI = 1.75-2.29), body temperature > 37.3°C (OR = 2.14, 95% CI = 1.90-2.41), and pulse oximetry < 92 SpO2 (OR = 2.04, 95% CI = 1.55-2.68). Patients with two vital sign abnormalities per the analysis had the highest odds of admission. A majority of patients discharged with abnormal vital signs per the analysis were not admitted within 7 days of ED discharge. CONCLUSION: While we found a majority of patients discharged with abnormal vital signs as defined by the analysis, not to be admitted after discharge, we identified vital signs associated with at least twice the odds of admission.

Estimated GFR Before and After Bariatric Surgery in CKD.

BACKGROUND: Several reviews have recently detailed the beneficial effects of weight loss surgery for kidney function. However, these studies have a number of limitations, including small sample size, few done in chronic kidney disease (CKD) stages 3 and 4, and many not including the main bariatric surgery procedures used in the United States today. STUDY DESIGN: This was an observational retrospective cohort study comparing propensity score-matched bariatric surgery patients and nonsurgery control patients who were referred for, but did not have, surgery. Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy were also compared using propensity matching. SETTING & PARTICIPANTS: Patients (714 surgery patients; 714 controls) were from a large integrated health care system, a mean of 58±8 (SD) years old, and mostly women (77%) and non-Hispanic whites (56%) and had diabetes mellitus (66%) and/or hypertension (91%). PREDICTOR: Predictors at the time of surgery or referral to surgery were age, sex, race/ethnicity, weight, and presence of diabetes and/or hypertension. OUTCOMES: The primary outcome for this study was change in estimated glomerular filtration rate (eGFR) from serum creatinine level over a median 3-year follow-up period. MEASUREMENTS: Serum creatinine was used to calculate eGFR using the CKD-EPI (CKD Epidemiology Collaboration) creatinine equation. RESULTS: Surgery patients had 9.84 (95% CI, 8.05-11.62) mL/min/1.73m2 greater eGFRs than controls at a median 3 years' follow-up and RYGB patients had 6.60 (95% CI, 3.42-9.78) mL/min/1.73m2 greater eGFRs than sleeve gastrectomy patients during the same period. LIMITATIONS: This study is limited by its nonrandomized observational study design, estimation of GFR, and large changes in muscle mass, which may affect serum creatinine level independent of changes in kidney function. CONCLUSIONS: Bariatric surgery, especially the RYGB procedure, results in significant improvements for up to 3 years in eGFRs for patients with CKD stages 3 and 4.

Comparisons of sleep apnoea rate and outcomes among patients with resistant and non-resistant hypertension.

BACKGROUND AND OBJECTIVE: We directly compared sleep apnoea (SA) rates and risk of cardiovascular and mortality outcomes among SA patients with resistant hypertension (RH) and non-RH within a large diverse hypertension population. METHODS: A retrospective cohort study between 1 January 2006 and 31 December 2010 among hypertensive adults (age ≥ 18 years) was performed within an integrated health system. Rates of SA in RH and non-RH were determined. Multivariable logistic regression analyses were used to calculate OR for SA. Cox proportional hazard modelling was used to estimate hazard ratios (HRs) for cardiovascular and mortality outcomes between SA in RH versus SA in non-RH adjusting for age, gender, race, BMI, chronic kidney disease and other comorbidities. RESULTS: SA was identified in 33 682 (7.2%) from 470 386 hypertensive individuals. SA in RH accounted for 5806 (9.6%) compared to SA in non-RH 27 876 individuals (6.8%). Multivariable OR (95% CI) for SA was 1.16 (1.12, 1.19), 3.57 (3.47, 3.66) and 2.20 (2.15, 2.25) for RH versus non-RH, BMI ≥ 30, and males, respectively. Compared to SA in non-RH individuals, SA in RH had a multivariable adjusted HR (95% CI) of 1.24 (1.13, 1.36), 1.43 (1.28, 1.61), 0.98 (0.85, 1.12) and 1.04 (0.95, 1.14) for ischaemic heart event (IHE), congestive heart failure (CHF), stroke and mortality, respectively. CONCLUSION: We observed a modest increase in likelihood for SA among RH compared to non-RH patients. Risks for IHE and CHF were higher for SA in RH compared to SA in non-RH patients; however, there were no differences in risk for stroke and mortality.

Potential of risk-based population guidelines to reduce cardiovascular risk in a large integrated health system.

OBJECTIVES: We evaluated an alternative way to implement guidelines using an automated risk calculator and risk-based decision tool to calculate patients' risk of cardiovascular disease (CVD) and recommend therapies. We compared such an approach with traditional guidelines. STUDY DESIGN: A retrospective cohort study of 1,506,109 Kaiser Permanente Southern California members 35 years or older. METHODS: We estimated 3-year risks of fatal and nonfatal myocardial infarction and stroke using an independently developed risk calculator, then graphically compared risks with observed outcomes. We used the area under the receiver operating characteristics curve to assess discrimination, and the Hosmer-Lemeshow statistic to test fit. We compared the characteristics and outcomes of populations identified for medication therapy by the risk-based decision tool and traditional guidelines using bivariate statistics. RESULTS: A risk score was obtained in 72% (1,082,158) of members. The risk calculator was fairly good in discrimination: the area under the curve was 0.774 (95% CI, 0.770-0.779) for myocardial infarction and 0.805 (95% CI, 0.801-0.808) for stroke. Predictiveness and fit was good based on graphical analysis and Hosmer-Lemeshow P < .0001. The risk-based decision tool identified high-risk patients for treatment who were not identified by traditional guidelines (3.80% of all those identified for statins, 3.04% for antihypertensives), as well as low-risk patients who were identified by guidelines (3.80% for statins, 2.51% for antihypertensives). CONCLUSIONS: The risk calculator provided risk estimates in most patients and demonstrated fairly good discrimination and predictiveness. The risk-based decision tool identified high-risk patients for treatment not identified by traditional guidelines, as well as low-risk patients for whom treatment may be unnecessary.

Emergency Department Crowding and Outcomes After Emergency Department Discharge.

STUDY OBJECTIVE: We assess whether a panel of emergency department (ED) crowding measures, including 2 reported by the Centers for Medicare & Medicaid Services (CMS), is associated with inpatient admission and death within 7 days of ED discharge. METHODS: We conducted a retrospective cohort study of ED discharges, using data from an integrated health system for 2008 to 2010. We assessed patient transit-level (n=3) and ED system-level (n=6) measures of crowding, using multivariable logistic regression models. The outcome measures were inpatient admission or death within 7 days of ED discharge. We defined a clinically important association by assessing the relative risk ratio and 95% confidence interval (CI) difference and also compared risks at the 99th percentile and median value of each measure. RESULTS: The study cohort contained a total of 625,096 visits to 12 EDs. There were 16,957 (2.7%) admissions and 328 (0.05%) deaths within 7 days. Only 2 measures, both of which were patient transit measures, were associated with the outcome. Compared with a median evaluation time of 2.2 hours, the evaluation time of 10.8 hours (99th percentile) was associated with a relative risk of 3.9 (95% CI 3.7 to 4.1) of an admission. Compared with a median ED length of stay (a CMS measure) of 2.8 hours, the 99th percentile ED length of stay of 11.6 hours was associated with a relative risk of 3.5 (95% CI 3.3 to 3.7) of admission. No system measure of ED crowding was associated with outcomes. CONCLUSION: Our findings suggest that ED length of stay is a proxy for unmeasured differences in case mix and challenge the validity of the CMS metric as a safety measure for discharged patients.

Qualitative factors in patients who die shortly after emergency department discharge.

OBJECTIVES: Early death after emergency department (ED) discharge may signal opportunities to improve care. Prior studies are limited by incomplete mortality ascertainment and lack of clinically important information in administrative data. The goal in this hypothesis-generating study was to identify patient and process of care themes that may provide possible explanations for early postdischarge mortality. METHODS: This was a qualitative analysis of medical records of adult patients who visited the ED of any of six hospitals in an integrated health system (Kaiser Permanente Southern California [KPSC]) and died within 7 days of discharge in 2007 and 2008. Nonmembers, visits to non-health plan hospitals, patients receiving or referred to hospice care, and patients with do not attempt resuscitation or do not intubate orders (DNAR/DNI) were excluded. Under the guidance of two qualitative research scientists, a team of three emergency physicians used grounded theory techniques to identify patient clinical presentations and processes of care that serve as potential explanations for poor outcome after discharge. RESULTS: The source population consisted of a total of 290,092 members with 446,120 discharges from six KPSC EDs in 2007 and 2008. A total of 203 deaths occurred within 7 days of ED discharge (0.05%). Sixty-one randomly chosen cases were reviewed. Patient-level themes that emerged included an unexplained persistent acute change in mental status, recent fall, abnormal vital signs, ill-appearing presentation, malfunctioning indwelling device, and presenting symptoms remaining at discharge. Process-of-care factors included a discrepancy in history of present illness, incomplete physical examination, and change of discharge plan by a third party, such as a consulting or admitting physician. CONCLUSIONS: In this hypothesis-generating study, qualitative research techniques were used to identify clinical and process-of-care factors in patients who died within days after discharge from an ED. These potential predictors will be formally tested in a future quantitative study.

Racial differences in estimated GFR decline, ESRD, and mortality in an integrated health system.

BACKGROUND: Current evidence does not clearly identify the contribution of kidney function decline and mortality to racial disparities in end-stage renal disease (ESRD) incidence. We used observed estimated glomerular filtration rate (eGFR) to project the time of onset of kidney failure and examined mortality to better understand these racial disparities. STUDY DESIGN: Retrospective cohort. SETTING & PARTICIPANTS: Adult members of Kaiser Permanente Southern California in 2003-2009 with more than 2 serum creatinine tests and more than 180 days between tests: 526,498 whites, 350,919 Hispanics, 136,923 blacks, and 105,476 Asians. PREDICTOR: Race/ethnicity. OUTCOMES: ESRD (dialysis or transplantation); mortality. MEASUREMENTS: eGFR decline was modeled using linear regression. Kidney failure was projected based on predicted eGFR <15 mL/min/1.73 m² at specified times. Racial differences in projected kidney failure and mortality in those with projected kidney failure were estimated with adjustment for age, sex, and entry eGFR. RESULTS: Blacks had more extreme rates of eGFR decline (1st percentile, -23.6 mL/min/1.73 m² per year), followed by Hispanics (-20.9 mL/min/1.73 m² per year), whites (-20.1 mL/min/1.73 m² per year), and Asians (-17.6 mL/min/1.73 m² per year; P < 0.001). There were 25,065 whites, 11,368 Hispanics, 6,785 blacks, and 3,176 Asians with projected kidney failure during the study period. The ORs for projected kidney failure versus whites during CKD stages 3 and 4 were 1.54 (95% CI, 1.46-1.62) in blacks, 1.49 (95% CI, 1.42-1.56) in Hispanics, and 1.41 (95% CI, 1.32-1.51) in Asians. For those with projected kidney failure, the HRs of death versus whites during CKD stages 3 and 4 were 0.82 (95% CI, 0.77-0.88) in blacks, 0.67 (95% CI, 0.63-0.72) in Hispanics, and 0.58 (95% CI, 0.52-0.65) in Asians. LIMITATIONS: Results may not generalize to the uninsured or subgroups within a race. Projected kidney failure was based on linear trends from clinically obtained eGFR. CONCLUSIONS: We found more extreme rates of eGFR decline in blacks. Projected kidney failure during CKD stages 3 and 4 was high in blacks, Hispanics, and Asians relative to whites. Mortality for those with projected kidney failure was highest in whites. Differences in eGFR decline and mortality contributed to racial disparities in ESRD incidence.

Race and ethnicity data quality and imputation using U.S. Census data in an integrated health system: the Kaiser Permanente Southern California experience.

Research on racial and ethnic disparities using health system databases can shed light on the usual health care and outcomes of large numbers of individuals so that health inequities can be better understood and addressed. Such research often suffers from limitations in race/ethnicity data quality. We examined the quality of race/ethnicity data in a large, diverse, integrated health system that repeatedly collects these data on utilization of services. We tested the accuracy of Bayesian Improved Surname Geocoding for imputation of race/ethnicity data. Administrative race/ethnicity data were accurate as judged by comparison with self-report in adults. The Bayesian Improved Surname Geocoding method produced imputation results far better than chance assignment for the four most common race/ethnicity groups in the health system: Whites, Hispanics, Blacks, and Asians. These results support renewed efforts to conduct studies of racial and ethnic disparities in large health systems.

Patterns and predictors of short-term death after emergency department discharge.

STUDY OBJECTIVE: The emergency department (ED) is an inherently high-risk setting. Early death after an ED evaluation is a rare and devastating outcome; understanding it can potentially help improve patient care and outcomes. Using administrative data from an integrated health system, we describe characteristics and predictors of patients who experienced 7-day death after ED discharge. METHODS: Administrative data from 12 hospitals were used to identify death after discharge in adults aged 18 year or older within 7 days of ED presentation from January 1, 2007, to December 31, 2008. Patients who were nonmembers of the health system, in hospice care, or treated at out-of-network EDs were excluded. Predictors of 7-day postdischarge death were identified with multivariable logistic regression. RESULTS: The study cohort contained a total of 475,829 members, with 728,312 discharges from Kaiser Permanente Southern California EDs in 2007 and 2008. Death within 7 days of discharge occurred in 357 cases (0.05%). Increasing age, male sex, and number of preexisting comorbidities were associated with increased risk of death. The top 3 primary discharge diagnoses predictive of 7-day death after discharge included noninfectious lung disease (odds ratio [OR] 7.1; 95% confidence interval [CI] 2.9 to 17.4), renal disease (OR 5.6; 95% CI 2.2 to 14.2), and ischemic heart disease (OR 3.8; 95% CI 1.0 to 13.6). CONCLUSION: Our study suggests that 50 in 100,000 patients in the United States die within 7 days of discharge from an ED. To our knowledge, our study is the first to identify potentially "high-risk" discharge diagnoses in patients who experience a short-term death after discharge.

Health plan administrative records versus birth certificate records: quality of race and ethnicity information in children.

BACKGROUND: To understand racial and ethnic disparities in health care utilization and their potential underlying causes, valid information on race and ethnicity is necessary. However, the validity of pediatric race and ethnicity information in administrative records from large integrated health care systems using electronic medical records is largely unknown. METHODS: Information on race and ethnicity of 325,810 children born between 1998-2008 was extracted from health plan administrative records and compared to birth certificate records. Positive predictive values (PPV) were calculated for correct classification of race and ethnicity in administrative records compared to birth certificate records. RESULTS: Misclassification of ethnicity and race in administrative records occurred in 23.1% and 33.6% children, respectively; the majority due to missing ethnicity (48.3%) and race (40.9%) information. Misclassification was most common in children of minority groups. PPV for White, Black, Asian/Pacific Islander, American Indian/Alaskan Native, multiple and other was 89.3%, 86.6%, 73.8%, 18.2%, 51.8% and 1.2%, respectively. PPV for Hispanic ethnicity was 95.6%. Racial and ethnic information improved with increasing number of medical visits. Subgroup analyses comparing racial classification between non-Hispanics and Hispanics showed White, Black and Asian race was more accurate among non-Hispanics than Hispanics. CONCLUSIONS: In children, race and ethnicity information from administrative records has significant limitations in accurately identifying small minority groups. These results suggest that the quality of racial information obtained from administrative records may benefit from additional supplementation by birth certificate data.

Predictors of short-term (seven-day) cardiac outcomes after emergency department visit for syncope.

Syncope is a common reason for emergency department (ED) visits, and patients are often admitted to exclude syncope of cardiovascular origin. Population-based data on patterns and predictors of cardiac outcomes may improve decision-making. Our objective was to identify patterns and predictors of short-term cardiac outcomes in ED patients with syncope. Administrative data from an integrated health system of 11 Southern California EDs were used to identify cardiac outcomes after ED presentation for syncope from January 1, 2002, to December 31, 2005. Syncope and cause of death were identified by codes from the International Classification of Disease, Ninth Revision. Cardiac outcomes included cardiac death and hospitalization or procedure consistent with ischemic heart disease, valvular disease, or arrhythmia. Predictors of cardiac outcomes were identified through multivariate logistic regression. There were 35,330 adult subjects who accounted for 39,943 ED visits for syncope. Risk of cardiac outcome sharply decreased following the 7 days after syncope. A 7-day cardiac outcome occurred in 893 cases (3%). Positive predictors of 7-day cardiac outcomes included age > or =60 years, male gender, congestive heart failure, ischemic heart disease, cardiac arrhythmia, and valvular heart disease. Negative predictors included dementia, pacemaker, coronary revascularization, and cerebrovascular disease. There was an age-dependent relation between 7-day cardiac outcomes and arrhythmia and valvular disease, with younger patients (<60 years of age) having greater risk of an event compared to their same-age counterparts. In conclusion, ED decision-making should focus on risk of cardiac event in the first 7 days after syncope and special attention should be given to younger patients with cardiac co-morbidities.

Incidence of end-stage renal disease and death among insured African Americans with chronic kidney disease.

African Americans have the highest incidence of end-stage renal disease (ESRD) in the United States. To understand the basis of this disparity, we examined data from a prepaid, integrated health system for this retrospective cohort study of members who had one or more serum creatinine tests performed over a 9-year period. The cohort included 182,959 adults (8% black) with stage 3 or 4 chronic kidney disease based on their estimated glomerular filtration rate (eGFR). Competing-risk methods were used to determine the incidence of ESRD and death prior to ESRD. At all follow-up times and from any entry eGFR, the cumulative incidence of ESRD was significantly greater in blacks. The age and gender-adjusted hazard ratios for ESRD and death prior to ESRD in blacks compared to non-blacks were 1.83 and 1.15, respectively. Increased survival free of ESRD was found in blacks 70 years and older with eGFR stage 4. The hazard ratio for the combined outcomes of ESRD or death was 1.31 in blacks as compared to non-blacks. Despite equivalent health insurance benefits, blacks with chronic kidney disease were at increased risk for ESRD and death prior to ESRD. Compared to non-blacks, blacks with chronic kidney disease were twice as likely to enter into ESRD as to die prior to ESRD.

Sleep apnea in early and advanced chronic kidney disease: Kaiser Permanente Southern California cohort.

BACKGROUND: Sleep apnea (SA) has been reported to be highly prevalent in the dialysis population. The reported rates of SA in dialysis are severalfold greater than the 2 to 4% estimated in the general population. This study sought to determine whether an association exists between SA and early stages of chronic kidney disease (CKD) where SA may represent an important comorbidity and potential risk factor in kidney disease. METHODS: Cross-sectional study of adults from an integrated health plan with documented serum creatinine levels in the period January 1, 2002, through December 31, 2004. SA diagnosis determined by International Classification of Diseases, ninth revision, coding for SA and Current Procedural Terminology coding for positive airway pressure devices. Kidney function was determined by the estimated glomerular filtration rate (eGFR). Logistic was regression used to estimate the relative risk for SA. RESULTS: The overall prevalence of SA was 2.5% in the study population that included subjects with normal renal function and those with CKD. The odds ratios (ORs) for SA by eGFRs of 75 to 89, 60 to 74, 45 to 59, 30 to 44, and 15 to 29 mL/min per 1.73 m(2), respectively, compared to normal kidney function, after adjustment for age, sex, and number of visits, were as follows: 1.22 (95% confidence interval [CI], 1.18 to 1.25); 1.32 (95% CI, 1.27 to 1.37); 1.42 (95% CI, 1.35 to 1.50); 1.37 (95% CI, 1.25 to 1.50); and 1.32 (95% CI, 1.13 to 1.55). The increased ORs for eGFRs > 45 mL/min per 1.73 m(2) were sustained even after controlling for diabetes, heart failure, and hypertension. CONCLUSION: This study demonstrated an increased risk of SA in patients with early CKD. Further evidence of a causal relationship should be sought in the hope that the detection and management of SA may improve the course of CKD.

Sleep apnea and hypertension: prevalence in chronic kidney disease.

The authors sought to evaluate the prevalence of hypertension (HTN) in patients with sleep apnea (SA) who had normal kidney function and in patients with SA and chronic kidney disease (CKD). It has not been determined whether there is an effect of interplay of SA and CKD on the prevalence of HTN. In this study, the diagnosis of CKD was established based on the glomerular filtration rate and the presence of proteinuria. SA and HTN were diagnosed based on International Classification of Diseases, Ninth Revision coding, Current Procedural Terminology coding, and medication use. Using the database of a large integrated health system, 434,388 patients aged 18 years and older with 2 or more years of continuous enrollment during January 2002 to December 2004 were analyzed. The HTN rate with SA alone was 51%, compared with 70.2% with SA and CKD. The overall prevalence of HTN was 28% in patients without CKD or SA. The prevalence ratio for HTN was 1.36 (95% confidence interval, 1.33-1.39) more prevalent in patients with SA and CKD compared with patients with SA without CKD. The high prevalence of HTN in patients with SA and CKD suggests the need for evaluation of SA in patients with concurrent HTN and CKD.