# Resistant Hypertension and Obstructive Sleep Apnea in  the Primary-Care Setting

Authors: M. Demede; A. Pandey; F. Zizi; R. Bachmann; M. Donat; S. I. McFarlane; G. Jean-Louis; G. Ogedegbe
Journal: International Journal of Hypertension
 (2011)

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## Abstract

We ascertained the prevalence of resistant hypertension (RH) among blacks and determined whether RH patients are at greater risk for obstructive sleep apnea (OSA) than hypertensives.Method. Data emanated from Metabolic Syndrome Outcome Study  (MetSO), a study investigating metabolic syndrome among blacks in the primary-care setting. Sample of 200 patients (mean age = 63 ± 13 years; female = 61%)  with a diagnosis of hypertension provided subjective and clinical data. RH was defined using the JNC 7and European Society guidelines. We assessed OSA risk using the Apnea Risk Evaluation System ARES), defining high risk as a total ARES score ≥6. Results. Overall, 26%  met criteria for RH and 40% were at high OSA risk. Logistic regression analysis, adjusting for effects of age, gender, and medical co morbidities, showed that patients with RH were nearly 2.5 times more likely to be at high OSA risk, relative to those with hypertension (OR = 2.46, 95% CI: 1.03–5.88, P<.05). Conclusion. Our findings show that the prevalence of RH among blacks fell within the range of RH for the general hypertensive population (3–29%). However, patients with RH were at significantly greater risk of OSA compared to patients with hypertension.


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## Body

## 1. Introduction

Resistant hypertension (RH) is defined as blood pressure that remains above goal (<140/90) in spite of concurrent use of three antihypertensive agents of different classes, one of which being a diuretic; all agents should be prescribed at optimal dosage amounts. Furthermore, observed blood pressure (BP) requiring ≥4 medications to reach controlled BP should be considered resistant to treatment    [1, 2].Longitudinal studies and clinical trials have shown that RH is a common public health problem. Data from the ALLHAT trial indicated that the prevalence of resistant hypertension is 27%    [3]. The Outpatient Quality Improvement Network’s Hypertension Initiative, sampling primary-care clinics in South Carolina, North Carolina, and Georgia (n=264,967 hypertensive patients), estimated that the overall prevalence of RH is about 16% [4].  Of note, 50% of  the participants in both the National Health and Nutrition Examination Survey (NHANES) [5] and Framingham Heart Study    [6] were able to reach a therapeutic goal of <140/ 90 mmHg. Those comprising the group who failed to reach the therapeutic goal likely included resistant hypertensives and pseudoresistant hypertensives. Given the increased trends in metabolic syndrome and obstructive sleep apnea (OSA), RH management will constitute a daunting task, with important social and economic ramifications. The special risk group is more likely to have target-organ damage and a higher long-term cardiovascular risk than resistant hypertension patients with controlled hypertension.Great strides have been made in establishing obstructive sleep apnea as a target of therapy among hypertensives    [7–9]. This is consistent with results of several multivariate analytical models indicating that OSA represents an independent risk factor for hypertension    [10–12], and hypertension constitutes a significant predictor of cardiovascular deaths among patients with OSA [12]. The prevalence of resistant hypertension itself among men with a diagnosis of OSA may be as high as 85% (83% (n=42; AHI ≥ 10/h)    [13] and n=29; AHI ≥ 5/h) [14].No epidemiologic or clinical study has investigated OSA risk among minority patients with RH. It is evident, however, that blacks exhibit greater resistance to treatment    [15] and black women have the highest prevalence of hypertension    [16] and the lowest blood pressure control    [3]. Evidence also shows that hypertensive blacks with a family history of hypertension are likely to have higher baseline blood pressure, and a greater number of oxygen desaturations and apnea hypoapnea index than their white counterparts  [17]. This study ascertained the prevalence of RH among black patients in the primary-care setting. It also determined whether patients with RH are at greater risk for obstructive sleep apnea (OSA) than hypertensives.


## 2. Method

### 2.1. Sample

Data (n=200, mean age = 63±13 years; female = 61%) emanated from the Metabolic Syndrome Outcome Study (MetSO).  This is an NHLBI-funded study investigating effects of OSA treatment among blacks in the primary-care setting.  Data were obtained from four clinics associated with SUNY Downstate Medical Center including, Family Medicine Clinic, Heart Failure Clinic, Diabetes Clinic, and Lefferts Community Health Center.


### 2.2. Procedures

Study staff approached patients in the primary-care settings to solicit their participation. Those agreeing to participate provided informed consent and filled out a brief questionnaire on sleep problems, medical history, and use of medications. They also provided responses to the Apnea Risk Evaluation System (ARES) Questionnaire [18]. The Apnea Risk Evaluation System (ARES) Questionnaire was used to identify those at high sleep apnea risk. This system is recommended in situations where the population has a large pretest probability. The questionnaire solicits demographic and anthropometric data, diseases associated with risk for sleep apnea (i.e., HTN, DM, heart disease, or stroke), or prior diagnosis of sleep apnea, the Epworth Sleepiness Scale, and frequency rating for snoring, waking up choking, and having been told that patients stopped breathing during sleep. Validation study showed that ARES has a sensitivity of 0.94, specificity of 0.79 (based on a clinical cut-off of AHI >5), positive predictive value of 0.91, and negative predictive value of 0.86    [19].Clinical data including body mass index (BMI), blood pressure, high-density lipoprotein cholesterol (HDLC), and fasting plasma glucose (FPG) or hemoglobin (HbA1c) for those who have a diagnosis of diabetes were obtained from the MetSO registry    [20–22].  RH was defined using the JNC 7 and European Society guidelines (uncontrolled BP despite treatment with 3 medications or controlled BP with 4 or more medications, including a diuretic, in suitable combination and recommended dosage).  Uncontrolled HTN is defined as average systolic and diastolic BP >140/90 mm/Hg (for those without comorbidity), or average clinic SBP >130 mm/Hg or DBP > 80 mm/Hg (for those with diabetes or kidney disease).


### 2.3. Statistical Analysis

Frequency and measures of central tendency were used to describe the sample.    In preliminary analyses, Pearson and Spearman correlations were used to explore relationships between variables of interest. To test the hypothesis that patients with RH were more likely to be at high OSA risk, compared with those with hypertension, we utilized multivariate logistic regression modeling. Covariates entered in the model were age, sex, obesity (defined as BMI ≥ 30 kg/m2), a history of diabetes, dyslipidemia, heart disease, and depression. Before constructing the model, correlational analyses were performed to assess associations between hypothesized predictors and the dependent variable. All analyses were performed using SPSS (version 18.0; SPSS Inc. Chicago).


## 2.1. Sample

Data (n=200, mean age = 63±13 years; female = 61%) emanated from the Metabolic Syndrome Outcome Study (MetSO).  This is an NHLBI-funded study investigating effects of OSA treatment among blacks in the primary-care setting.  Data were obtained from four clinics associated with SUNY Downstate Medical Center including, Family Medicine Clinic, Heart Failure Clinic, Diabetes Clinic, and Lefferts Community Health Center.


## 2.2. Procedures

Study staff approached patients in the primary-care settings to solicit their participation. Those agreeing to participate provided informed consent and filled out a brief questionnaire on sleep problems, medical history, and use of medications. They also provided responses to the Apnea Risk Evaluation System (ARES) Questionnaire [18]. The Apnea Risk Evaluation System (ARES) Questionnaire was used to identify those at high sleep apnea risk. This system is recommended in situations where the population has a large pretest probability. The questionnaire solicits demographic and anthropometric data, diseases associated with risk for sleep apnea (i.e., HTN, DM, heart disease, or stroke), or prior diagnosis of sleep apnea, the Epworth Sleepiness Scale, and frequency rating for snoring, waking up choking, and having been told that patients stopped breathing during sleep. Validation study showed that ARES has a sensitivity of 0.94, specificity of 0.79 (based on a clinical cut-off of AHI >5), positive predictive value of 0.91, and negative predictive value of 0.86    [19].Clinical data including body mass index (BMI), blood pressure, high-density lipoprotein cholesterol (HDLC), and fasting plasma glucose (FPG) or hemoglobin (HbA1c) for those who have a diagnosis of diabetes were obtained from the MetSO registry    [20–22].  RH was defined using the JNC 7 and European Society guidelines (uncontrolled BP despite treatment with 3 medications or controlled BP with 4 or more medications, including a diuretic, in suitable combination and recommended dosage).  Uncontrolled HTN is defined as average systolic and diastolic BP >140/90 mm/Hg (for those without comorbidity), or average clinic SBP >130 mm/Hg or DBP > 80 mm/Hg (for those with diabetes or kidney disease).


## 2.3. Statistical Analysis

Frequency and measures of central tendency were used to describe the sample.    In preliminary analyses, Pearson and Spearman correlations were used to explore relationships between variables of interest. To test the hypothesis that patients with RH were more likely to be at high OSA risk, compared with those with hypertension, we utilized multivariate logistic regression modeling. Covariates entered in the model were age, sex, obesity (defined as BMI ≥ 30 kg/m2), a history of diabetes, dyslipidemia, heart disease, and depression. Before constructing the model, correlational analyses were performed to assess associations between hypothesized predictors and the dependent variable. All analyses were performed using SPSS (version 18.0; SPSS Inc. Chicago).


## 3. Results

Of the sample, 68% were diagnosed with diabetes, 83% dyslipidemia, and 38% heart disease; 89% were overweight/obese. Average systolic and diastolic BP were 135 ± 19 mmHg and 75 ± 11 mmHg, respectively. Blood glucose levels averaged 145 ± 64 mg/dL, triglycerides 147 ± 85 mg/dL, and LDL 97 ± 38 mg/dL. Overall, 26% met criteria for RH and 40% were at high OSA risk.Multivariate logistic regression analysis, adjusting for effects of age, gender, and medical comorbidities, showed that patients with RH were nearly 2.5 times more likely to be at high OSA risk, relative to those with hypertension (OR = 2.46, 95% CI: 1.03–5.88,P<.05).  Univariate results for each of the factors entered in the model are indicated in Table 1.Table 1
Regression coefficients of the OSA risk factor on resistant hypertension relative to hypertension, sociodemographic factors, and medical factors; *P<.05.
Associations of  resistant hypertension and sociodemographicand medical factors with OSA riskVariablesOR95% C.I.Resistant hypertension2.461.03–5.88*Age.98.95–1.01Sex.65.30–1.39Body mass index2.29.58–9.05Dyslipidemia1.02.35–2.98Diabetes2.29.95–5.57Heart disease.99.99–1.02Depression.93.20–4.48


## 4. Discussion

Several factors may be liable for low OSA screening rates in the general population    [23–25]. Evidence shows that healthcare providers do not commonly screen for OSA among patients with metabolic dysfunctions [26]. This is compounded by the fact that patients are usually unaware of the nature and significance of sleep apnea and its association with hypertension [27]. Yet, yearly hypertension contributes to 14% of deaths occurring in the United States, and to nearly half of all cardiovascular disease-related deaths [28]. From 1997 to 2007, the death rate caused by high blood pressure increased to 9.0%, and the actual number of deaths rose 35.6% [29]. If all hypertensive patients were treated adequately to reach the goal specified in current clinical guidelines, 46,000 deaths might be averted annually [30].The first finding of our study is that the prevalence of resistant hypertension among blacks is 26%. This point estimate falls within the range of RH for the general hypertensive population (3–29%), albeit towards the high end. Our study confirms previous clinical studies, which have tended to include smaller sample sizes (n<50)    [13, 14]. No comparisons could be made with other racial/ethnic groups, as data from such groups were not available. Notwithstanding this limitation, the study provides useful data for black hypertensives that may provide a basis for comparison with other populations in future studies. To our knowledge, previous studies provided no specific estimates for patients of the black race/ethnicity.The second finding of our study is that patients with RH were nearly 2.5 times more likely to be at high OSA risk, relative to those with hypertension. Of note, this finding was independent of patients’ demographic factors and RH-associated medical conditions.  This evidence suggests that greater effort should be made to screen individuals with resistant hypertension for the presence of OSA. Consistent with evidence that OSA treatment has significant positive effects in reducing cardiovascular disease risk    [31], RH patients at high risk for OSA should be the target of aggressive therapeutic management. Evidence suggests that treatment of OSA among RH patients may facilitate achievement of optimal BP control.Findings of this study demonstrate that both sleep apnea and resistant hypertension represent major public health concerns among black patients [32].  This is a serious concern since few blacks (38%) adhered to physician-recommended OSA assessment    [33]. OSA is underdiagnosed because of lack of awareness among blacks or health professionals    [34–38]. There is evidence suggesting that although the frequency of snoring, the main OSA symptom, is higher among blacks, they are less likely than whites to report it    [39, 40]; 33% of blacks considered snoring to be normal, relative to 20% of whites. The observation that blacks with these medical conditions are often nonadherent to prescribed medical treatments    [41–43] renders clinical management even more complicated.The benefits of CPAP treatment have been convincingly demonstrated among individuals with a dual diagnosis of hypertension and OSA.  Emerging evidence has shown that long-term adherence to continuous positive airway pressure (CPAP) therapy suppressd sympathetic activity and improved blood pressure among patients with RH as well. Multiple studies have shown significant net reduction in blood pressure among RH patients who received CPAP treatment    [44–46]. In a recent randomized clinical trial comparing effects of CPAP treatment with conventional treatment, investigators showed a decrease in 24-hour diastolic BP (−4.9 ± 6.4 versus. 0.1 ± 7.3 mmHg, P=.027) among patients with resistant hypertension. Furthermore, congruent with current evidence, patients using  CPAP for 5.8 hours or longer showed a greater reduction in daytime diastolic BP, 24-hour diastolic BP, and 24-hour systolic BP    [47].  It is important to conduct randomized CPAP clinical trials among high-risk racial/ethnic minorities, especially blacks, to assess whether CPAP therapy has similar long-term effects.



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*Source: 340929-2011-06-08.xml*