Elevated blood pressure in subjects with lipodystrophy
Sattler, Fred R.; Qian, Dajuna; Louie, Stanb; Johnson, Debra; Briggs, William; DeQuattro, Vincentc*; Dube, Michael P.d
From the Division of Infectious Diseases, Department of Medicine, the aDivision of Biometry, Department of Preventive Medicine, Keck School of Medicine, the bSchool of Pharmacy and Department of Pharmacy, University of Southern California, the cDivision of Cardiology, Department of Medicine, Keck School of Medicine, Los Angeles, California, USA, and the Division of Infectious Diseases, Department of Medicine, Indiana University, Indianapolis, IN, USA. *Deceased.
Requests for reprints to: F. R. Sattler, LAC-USC Medical Center, Rand Schrader Clinic, Room 351, 1300 North Mission Road, Los Angeles, California 90033, USA.
Received: 26 January 2001;
revised: 8 June 2001; accepted: 13 June 2001.
Sponsorship: Supported by grants from the National Institutes of Health (DK-49308 and NCRR GCRC MOI RR-43).
Objectives: To assess the prevalence of elevated blood pressure in patients with lipodystrophy.
Design: Case–control study.
Participants: Forty-two patients with abnormal body fat (100%) and serum lipids (86%) (HIV-positive cohort) were matched by age and sex to 42 HIV-positive controls without previously diagnosed lipodystrophy and to 13 HIV-negative controls.
Setting: Tertiary care, university-based, fully dedicated HIV clinic.
Main outcome measures: Frequency and magnitude of elevated blood pressure during highly active antiretroviral therapy.
Results: There were 23 ± 16 and 22 ± 12 blood pressure measurements recorded per subject over 21 ± 11 and 22 ± 11 months for the HIV-positive cohort and HIV-positive controls, respectively. Three or more elevated readings occurred in 74% of the cohort and in 48% of the HIV-positive controls (P = 0.01) and accounted for 38 ± 25% versus 22 ± 26% (P = 0.01) of the total readings, respectively. The average of the three highest systolic readings (153 ± 17 versus 144 ± 15 mmHg;P = 0.01) and diastolic readings (92 ± 10 versus 87 ± 9 mmHg;P = 0.01) was greater for the cohort than for the HIV-positive controls. Family history of hypertension was more common in the cohort than in the controls but accounted for only 13% of the log odds ratio value for elevated blood pressure in the cohort. Systolic blood pressure was correlated with waist-to-hip ratios in the cohort (r = 0.45;P = 0.003) but not in the HIV controls (r = 0.06;P = 0.68) and tended to be related to fasting triglycerides (r = 0.34;P = 0.052) in subjects with HIV.
Conclusions: Elevated blood pressure may be linked to the metabolic disorders occurring in patients with HIV, as in the dysmetabolic syndrome.
In 1988, Reaven described a constellation of findings including abdominal obesity, hypertension, elevated serum triglycerides, and insulin resistance . This group of abnormalities has since been referred to as syndrome X or the dysmetabolic syndrome. The syndrome has been expanded to include abnormalities of cholesterol and lipoproteins [2,3] and is of great importance because it predicts an increased risk for developing diabetes mellitus and accelerated atherosclerosis with progression to myocardial infarction, stroke, and peripheral vascular disease [2–5]. In fact, the syndrome has been described as the ‘deadly quartet’ because of the very high risk of premature mortality when these four complications are present together [5,6].
A similar constellation of findings with central accumulation of adipose tissue [7–11], insulin resistance [12–19], and abnormalities of serum lipids and triglycerides [8,9,12,13,15,19–21] has become commonly recognized in persons with HIV receiving highly active antiretroviral therapy (HAART). In fact, these findings (often referred to as peripheral lipodystrophy, fat redistribution syndrome, protease inhibitor (PI)-associated lipodystrophy) have been identified in a number of cross-sectional studies and may occur in up to 80% of HIV-positive subjects receiving HAART regimens . The constellation was initially attributed to the PI used to treat HIV , but other reports suggest that individuals may develop these abnormalities despite never having received PI [7,8,9,10,23–26]. There is also reason to suspect that nucleoside reverse transcriptase inhibitors (NRTI) may contribute to certain components of the syndrome [16,17,27,28].
With the exception of one preliminary report , hypertension, a component of the dysmetabolic syndrome, has not been identified as part of the metabolic and body habitus abnormalities complicating HAART . By 1999, we began to recognize increasing numbers of patients with disorders of clinical fat distribution and serum lipids who also had elevated blood pressure. Because hypertension has been the missing component of abnormalities simulating the dysmetabolic syndrome in persons with HIV, we now report on a cohort of subjects referred to a specialty clinic because of clinical fat maldistribution and abnormal serum lipids and who also had elevated blood pressure. We compare findings in these subjects to a matched group with HIV who previously had not been identified as having abnormalities of body fat or serum lipids and to HIV-negative controls.
This study was a retrospective review of HIV-positive subjects with clinically apparent abnormalities of body fat and serum lipids. These subjects were matched to HIV-positive and HIV-negative controls. For each HIV-positive case, the period of review for assessing elevated blood pressure was extended back to 6 months prior to the initiation of a regimen that contained either a non-nucleoside reverse transcriptase inhibitor (NNRTI) or a PI. The Institutional Review Board of the University of Southern California-Los Angeles County (LAC-USC) Medical Center approved the study.
The study cohort consisted of 42 consecutive patients who were referred to the HIV Metabolic Disorders Clinic at the LAC-USC Medical Center Rand Schrader HIV Clinic between March 1998 through August 1999 from the primary care section of this university-affiliated, public hospital-based clinic for evaluation of peripheral fat loss, central fat accumulation, or abnormalities of serum lipids. Each patient had a complete history, which included a query about hypertension in a first-degree relative and physical examination. Their antiretroviral regimens included one or two NRTI drugs plus at least one PI or NNRTI drug with or without a PI.
To assess whether elevated blood pressure was related to changes in body habitus or abnormalities in serum lipids, each subject in the cohort was randomly matched by sex and age within 3 years to an HIV-positive subject also receiving primary care in the Rand Schrader HIV Clinic. Medical providers who had referred the subjects included in the cohort were asked to identify potential cases for the control group. Subjects were considered eligible if they had not reported maldistribution of body fat, their medical providers had not identified such abnormalities, and prior serum lipids had not been determined or were within the normal range. Subjects identified for the HIV control group were scheduled to be evaluated and undergo the same testing as done for the study cohort. The controls were receiving the same types of antiretroviral regimens as the study cohort. In addition, 13 HIV-negative subjects were also selected at random from the clinic and research staff. The HIV-negative controls were matched by sex and age within 3 years to a member of the study cohort and also underwent a number of the same evaluations as the HIV-positive control group.
Definitions and evaluation of subjects for elevated blood pressure
The HIV-positive subjects were defined as having elevated blood pressure if three or more readings recorded in their medical records showed diastolic blood pressure (DBP) ≥ 90 mmHg or systolic values ≥ 140 mmHg, or combination of three or more elevations of diastolic or systolic pressure. Medical records of the HIV subjects in the study cohort and control group were analyzed for all blood pressure readings prior to the last visit (referred to as the ‘index visit’) to the Metabolic Disorders Clinic. A single medical record is used for all primary care and specialty clinic visits to the Rand Schrader Clinic.
All vital signs, whether for primary care or specialty care clinic visits are taken in a single triage area by the same triage nurses, trained and reassessed periodically for their skills to obtain vital signs. Patients generally sit in a waiting area for 20–30 min prior to being evaluated by their medical providers. During that time, they are called to the triage area and invariable sit quietly for 5 to 10 min before to having their vital signs measured. HIV-negative controls had blood pressure measurements in both arms and readings were taken in triplicate on one occasion.
To assess further the magnitude and course of elevated blood pressure, the average of the three highest systolic and DBP measurements obtained during multiple clinic visits were determined for each individual HIV-positive subject. The mean values for the average of the three highest systolic and diastolic readings for the two HIV-positive groups were then determined.
Body composition and laboratory definitions
Abnormal changes in body habitus included peripheral loss of adipose tissue (lipoatrophy) and/or accumulation of central fat. Lipoatrophy included new onset of sunken cheeks (loss of buccal fat), thin extremities with or without prominence of subcutaneous veins, or loss of buttock tissue in the subgluteal fat region. Accumulation of adipose tissue involved enlargement of abdominal girth without evidence of ascites, accumulation of fat in the dorsocervical (buffalo hump) or supraclavicular regions, multiple symmetric lipomas, or increase in breast size. Changes were considered abnormal if self-reported by subjects and confirmed by measurements and assessments carried out by one of the specialists in the Metabolic Disorders Clinic, or findings were identified by one of the specialists and verified by the subject as new, even if not initially self-reported by the subject.
Measurements of body circumference were taken by one the investigators (F.R.S. or W.B.) using a non-stretchable tape measure and recorded to the nearest 0.1 cm. Circumferences were determined for the chest at the nipple line (evaluated in men only), ‘minimum waist’ (measured at the smallest visible diameter) between the lower rib margin and iliac crest, maximum diameter across the hip and buttocks, and mid thigh (boundary midway between the greater trochanter and superior border of the patella). Abdominal obesity was defined as a waist-to-hip ratio (WHR) of ≥ 0.95 for men or ≥ 0.85 for women or minimal waist circumference > 100 cm for men and > 90 cm for women. Subjects were not classified as having abdominal obesity if the WHR surpassed threshold values for sex, unless there was apparent abdominal enlargement, as loss of body mass at the hip without appreciable increase in abdominal girth may result in an increased WHR (pseudo-abdominal obesity).
Serum for lipid analysis was collected within 6 weeks of the index visit. When complete lipid panels were done in the fasted state, subjects were asked not to eat or drink anything other than water from 8:00 p.m. the evening before. Samples were drawn between 8:00 a.m. and 12:00 noon on the next day. Lipids were considered abnormal if the total cholesterol was ≥ 200 mg/dl, fasting low density lipoprotein (LDL)-cholesterol as calculated by the Friedewald equation was ≥ 130 mg/dl, high density lipoprotein (HDL)-cholesterol ≤ 35 mg/dl, or fasting triglycerides were ≥ 200 mg/dl. A random blood sugar ≥ 200 mg/dl was considered abnormal and fasting blood sugar ≥ 126 mg/dl was diagnostic of diabetes. Bioelectrical impedance analysis to assess total body lean tissue was performed after subjects rested quietly for at least 20 min, their bladders were empty, and electrodes placed according to the manufacturer’s guidelines (RJL Systems, Clinton twp, MI, USA). The manufacturer’s Fluid and Nutrition Analysis software (version 3.1a) was used to determine fat-free mass.
Number (%) of subjects and mean values ± 1 SD were reported as descriptive results for all variables. Between-group comparisons were performed using McNemar’s exact test or paired t test (unless otherwise specified) for the HIV-positive cases and matched HIV-positive controls. Thirteen pairs of HIV-positive cases from the cohort were also matched to HIV-negative controls. For several outcomes (i.e., serum LDL-cholesterol, fasting triglycerides, chest and mid thigh circumferences), a two-group t test was used to determine statistical significance, as missing data resulted in < 90% of outcomes being paired between the two groups. Pearson correlation analysis was used to evaluate the relationship between blood pressure levels and lipids or WHR. Statistical significance was set at α = 0.05.
To control for family history of hypertension, conditional logistic regression (CLR) was conducted using both the family history of hypertension and a number of parameters of blood pressure (proportions with elevations of diastolic or systolic values, mean pressures, etc. as shown in Table 4) as covariates in comparing the cohort and HIV-positive controls. The unadjusted analysis of paired data were analyzed using standard methods (i.e., paired t test for continuous outcomes and McNemar test for categorical outcomes) or CLR, which produced similar results. Since the analyses adjusted for family history of hypertension were performed using CLR, the results of unadjusted analyses were also reported using CLR as shown in Table 4.
Body habitus and metabolic abnormalities in the study cohort
For the cohort of 42 subjects, the most common abnormality in body habitus was loss of subcutaneous fat, which was demonstrable in 88% of the cohort (Table 1). More than half of the group had new onset of thin extremities with or without prominent veins and more than half had lost fat in the buccal or subgluteal regions. Abdominal enlargement was the most frequent manifestation of fat accumulation and was demonstrable by anthropometric measurements in 69% of the subjects. Lipid or glucose abnormalities were also common and were present in 86% of subjects in the cohort. The most common of the metabolic abnormalities involved elevations of total cholesterol to ≥ 200 mg/dl, which occurred in 63% of the cohort while depression of HDL-cholesterol ≤ 35 mg/dl occurred in 48% of these subjects.
Comparison of the study cohort with the HIV-positive and negative control groups
Table 2 provides a comparison of the demography, clinical features, and laboratory results for the study cohort and two control groups. With a few exceptions, the three groups were comparable. First, the cohort was an average of 2 years older than the controls (42.8 ± 7.9 versus 40.8 ± 8.8 years;P = 0.001). Second, there were significantly fewer subjects who were Hispanic in the study cohort compared to the HIV-positive control group (43% versus 79%P = 0.001). The proportion of Hispanics in the HIV control group is in keeping with the prevalence of Hispanics in the Rand Schrader HIV Clinic, which has ranged from 56% to 74% since the Clinic first opened in 1985. Third, those in the cohort more often reported family histories of hypertension than the HIV-positive controls (62% versus 36%P = 0.04). Finally, the CD4 lymphocyte counts were greater in the cohort versus the HIV-positive control group (407 ± 292 versus 320 ± 208 × 106 cells/l;P = 0.04).
Comparison of body habitus and metabolic abnormalities in the three groups
Despite the fact that the HIV-positive control group was selected based on the absence of apparent changes in body habitus and lack of previous testing of serum lipids, the three groups were remarkably similar as shown in Table 3. There was no difference in total cholesterol or HDL cholesterol across the three groups, whereas, fasting serum triglycerides were significantly higher in the two HIV-positive groups when compared to the HIV-negative control subjects. However, fasting triglycerides were only obtained in a subset of HIV-positive subjects, at the index visit, and the difference in levels for the cohort (308 ± 226 mg/dl) versus the HIV-positive controls (208 ± 125 mg/dl) did not reach statistical significance (P = 0.09). The lack of statistical difference may have been related to fewer fasting specimens in the HIV-positive controls. It is also noteworthy that the average WHR which was significantly increased in subjects with HIV compared to HIV-negative controls, was almost identical between the study cohort and HIV-positive controls (0.94 ± 0.08 versus 0.92 ± 0.05, respectively). This finding was unexpected as subjects in the HIV-positive control group had not complained of increasing abdominal girth and it had not been recognized by their primary care givers.
Comparison of blood pressure in the HIV-positive subjects and controls
The total duration of observations for blood pressure for the study cohort and HIV-positive controls from the index visit back to 6 months prior to the institution of HAART was comparable (21.1 ± 11.0 versus 22.0 ± 10.9 months, respectively;P = 0.23) as was the total number of blood pressure readings during this same period (23.0 ± 15.6 versus 21.8 ± 12.3 values, respectively;P = 0.55) as shown in Table 4. Three or more elevations in either the DBP (≥ 90 mmHg) or systolic blood pressure (SDP; ≥ 140 mmHg) occurred in 74% of the study cohort and 48% of the HIV controls (P = 0.01) during this period of time. Elevations of SBP (71% versus 43% and elevations of DBP (43% versus 21% occurred more frequently in the cohort than in the controls (P = 0.01 and P = 0.02, respectively). The proportion of elevated blood pressure (either diastolic or systolic) and SBP readings was significantly higher in the study cohort (38 ± 25% versus 22 ± 26%P = 0.01 and 33 ± 24% versus 20 ± 26%P = 0.02, respectively), but there was no difference in the proportion of elevated diastolic readings in the two groups. However, both the average SBP and DBP in the study cohort were significantly higher than for the HIV controls (P = 0.02 for each).
To assess further the magnitude and course of elevated blood pressure, the average values for the three highest systolic and DBP measurements for each individual HIV-positive subject across their respective clinic visits were determined. The mean values for the three highest systolic and diastolic measurements for all of the individuals in the cohort (153 ± 17 and 92 ± 10 mmHg, respectively) were significantly higher than the respective values in the HIV controls (144 ± 15 and 87 ± 9 mmHg, P = 0.01 for each comparison;Table 4). After three elevated readings, the proportion of elevated values (50 ± 23% versus 49 ± 37% respectively) in these subjects with elevated values was similar (P > 0.05). Similarly, the three highest systolic and diastolic readings (160 ± 13 and 96 ± 9 mmHg versus 156 ± 11 and 93 ± 8 mmHg, respectively) were similar in these two subsets with sustained elevations in blood pressure (P > 0.05).
Treatment for hypertension
Five patients in the cohort were receiving antihypertensive therapy. Three of these patients had begun therapy more than 6 months prior to initiating HAART; one of the three contributed no elevated blood pressure readings during the study period. Two other subjects in the cohort started treatment for hypertension during the first 6 months of the study period. Four patients in the HIV-positive control group had antihypertensive therapy initiated at various times during the study period. Inclusion of these nine subjects did not affect appreciably the magnitude of differences in blood pressure between the two groups (data not shown).
Effect of ethnicity on blood pressure
Because the proportion of Hispanics in the two HIV-positive groups was different, the effect of ethnicity on the occurrence of elevated blood pressure was evaluated further. Table 5 shows that elevated blood pressure was similar in Hispanics (61%) and non-Hispanics (63%). When blood pressure in the groups was analyzed by conditional logistic regression, the difference in the proportion of patients with elevated blood pressure in the cohort and HIV-positive controls were similar by univariate and multivariate analysis after adjustment for the effect of ethnicity (P = 0.02 and P = 0.04, respectively). This analysis thus indicated that Hispanic ethnicity had little effect on blood pressure.
Effect of family history on blood pressure
A history of hypertension in a first-degree relative occurred in 26 (62%) of the cohort and 15 (36%) of the HIV-positive controls (P = 0.04, McNemar’s exact test;Table 2). When the data were controlled for family history of hypertension, the difference in blood pressure measures between the two groups tended to diminish (P values in last column of Table 4). However, the number of subjects with at least three elevated systolic or DBP measurements, proportion of readings that were elevated, and mean of the highest three readings of DBP were still significantly different between the two HIV groups (P < 0.05;P-value 2;Table 4). In fact, in the unadjusted analysis, the odds ratio (OR) for at least three elevated blood pressure measurements in the cohort versus the HIV-positive controls was 4.7 [95% confidence interval (CI), 1.5–20.2;Table 5]. Whereas the OR was 3.8 (95% CI, 1.2–16.9) when the analysis was adjusted for a family history of hypertension. Family history accounted for only 13% of the log OR value for at least three elevated blood pressure readings or 0–22% of the log OR values between various measures of blood pressure assessed in Table 4.
Risk factors for elevated blood pressure
Among the 84 total HIV-positive subjects, 51 had three or more elevated blood pressure readings and 33 did not have elevated blood pressure. There was a relationship (r = 0.34) between triglycerides and SBP in the 34 subjects who had this test done in the fasted state, but the difference did not quite reach significance (P = 0.052). However, WHR was significantly correlated with SBP (r = 0.31;P = 0.01). Similarly, increased WHR (≥ 0.85 for women ≥ 0.95 for men) tended to occur more often in those with elevated blood pressure (n = 17, 34% than in subjects with normal blood pressure (n = 5; 16%P = 0.08). Fig. 1 shows that the WHR was correlated significantly with SBP in the cohort (r = 0.45;P = 0.003) but not in the HIV-positive controls (r = 0.06;P = 0.68).
Results of this study suggest that HIV-positive subjects with metabolic dysregulation may be at increased risk for hypertension. In the cohort of 42 consecutive subjects referred to a specialty clinic for evaluation of fat maldistribution or lipid abnormalities, 38% of blood pressure measurements (average of 23 ± 16 readings per subject) during the prior 2 years were elevated. Overall, 31 (74%) of these patients had three or more blood pressure readings that were in the hypertensive range. In 42 age-matched controls, only 22% of a similar number of blood pressure readings recorded over the same time frame were elevated (P = 0.01 versus the cohort), and only 20 (48%) of the controls had three or more elevated readings (P = 0.01 versus the cohort). In addition, the average systolic and DBP readings in the cohort were greater than for controls (P = 0.02 for each comparison). Finally, the average of the three highest systolic and DBP measurements (153 ± 17 and 92 ± 10 mmHg, respectively) for individuals in the cohort were greater than the average of the three highest values in the controls (144 ± 15 and 87 ± 9, respectively;P = 0.01 for each comparison).
It is unlikely that the frequency of elevated blood pressure values in the HIV subjects was due solely to ‘white coat hypertension’. First, ‘white coat hypertension’ should have occurred randomly in both groups who had their blood pressure measured in the same triage area. It is possible, however, that some persons with abnormalities of body habitus may have had more concern and anxiety about their body image resulting in higher blood pressure readings. Second, for individuals who had at least three elevated values, the proportion of subsequent high measurements increased from 38 to 50% in the cohort and 22 to 49% in the HIV-positive controls, suggesting that the elevated readings were more sustained in these individuals and probably represented true abnormalities.
That 48% of the HIV-positive controls, previously not identified as having abnormalities of body habitus or serum lipids, also had multiple elevations of blood pressure was not expected. Although the controls had a higher portion of Hispanic patients, this did not affect the risk for elevated blood pressure when analyzed by conditional logistical regression (Table 5). It is possible that metabolic dysregulation was already present in the controls, but was not as advanced as in the cohort as the controls were somewhat younger and age appears to be a risk factor for lipodystrophy [28,31]. Despite a trend for higher triglyceride levels in the cohort, other lipids were similarly abnormal in the controls and cohort. Likewise, although WHR, an indirect measure of abdominal adipose tissue [32–37], was significantly greater in the cohort, the average WHR in the controls was 0.92, indicating that almost half of the controls met criteria for abdominal obesity. If increased blood pressure is related to dysregulation of lipid metabolism or central adiposity in HIV, as with the dysmetabolic syndrome, this could also explain the unexpected, relatively high frequency of blood pressure readings in the HIV-positive controls.
In both HIV-positive groups, the proportion of patients with elevated SBP was greater than the proportion with elevated DBP. This is consistent with data from the Framingham Study involving untreated subjects, in which 31.6% were classified as hypertensive based on isolated elevation of SBP compared to 3.8% who were classified as having hypertension based on isolated elevation in DBP . Of importance, isolated elevation of SBP is an independent risk factor for cardiovascular complications [39–43].
Unless the blood pressure is elevated over multiple clinic visits, a strict diagnosis of hypertension is not warranted, making it difficult to know when to initiate antihypertensive therapy. However, as 22–38% of readings in individual cases in the two groups were elevated over almost 2 years, their risk for cardiovascular complications was likely to be increased, because it is the average level of blood pressure to which the systemic circulation is exposed over prolonged periods which probably results in excess morbidity and mortality . Because non-pharmacological modifications such as caloric restriction for obesity, exercise, decreased dietary sodium, and reduction in alcohol consumption have beneficial effects on blood pressure [45–47], we advocate that such measures be instituted in HIV patients with three or more SBP readings in the range of stage I hypertension (140–159 mmHg). Sustained values in this range that do not respond to non-pharmacological interventions, higher values of SBP, and elevations in DBP should prompt consideration for early drug therapy.
We can only speculate about possible reasons for the high proportion of patients in our study with elevated blood pressure readings. Hypertension , abdominal obesity [49,50], severe lipoatrophy , and lipid abnormalities  are each individually associated with insulin resistance in populations without HIV. Although we did not measure insulin sensitivity, evidence of insulin resistance (elevations of fasting insulin, C-peptide, etc) has been reported in several HIV cohorts with lipodystrophy [12–15,18,21,53]. Although, insulin resistance may occur early after initiating PI therapy [21,53], insulin resistance occurs in HIV-positive women and men not using PI who develop abnormalities of body fat and lipids [54,55]. Moreover, the greater frequency of hypertension in family members of the cohort than controls (62% versus 36% could have predisposed the cohort to greater risk of insulin resistance [56–59]. Prospective studies will be necessary to determine whether insulin resistance is a common denominator that links hypertension to abnormalities of body fat and lipid disorders in persons with HIV.
There are several limitations to this study. First, there is no commonly accepted case-definition for HIV associated ‘lipodystrophy’. Thus, the diagnosis is often based, as in our study, on patient report of change in body habitus and physician ascent that such changes have occurred. Moreover, metabolic abnormalities may be different in subjects with predominantly lipoatrophy or fat accumulation or a combination of the two. Without objective criteria to diagnose lipoatrophy and fat accumulation (e.g. imaging procedures), any relationship between blood pressure and body habitus will be tentative. Second, the HIV-positive controls were not selected at random but were identified by their medical providers as not having changes in body fat and not having known lipid abnormalities. Regardless, the controls also had evidence of disordered fat metabolism when examined more carefully. Thus, differences in blood pressure between the cohort and controls cannot be used to establish that there was relationship between fat maldistribution or abnormalities of serum lipids and elevated blood pressure. However, there was a high tendency for correlation between fasting triglycerides and SBP in subjects with HIV. In addition, WHR, which were greater in the cohort than in control subjects, were correlated significantly with SBP in the cohort but not in the HIV-positive controls. Finally, because our cohort included only one woman, it is uncertain how our findings apply to women. Regardless, these data together provide supportive evidence that disordered fat metabolism was contributing to the risk for elevated blood pressure.
In summary, our observations suggest that elevated blood pressure may be associated with abnormalities in fat distribution and serum lipids in subjects also expected to have insulin resistance. Together, these complications, as in the dysmetabolic syndrome, portend an increased risk for accelerated atherosclerosis. The occurrence of hypertension per se also portends an increased risk for myocardial infarction, stroke, renal failure, and peripheral arterial disease [60–65]. Thus, subjects such as we have described have several risk factors for serious morbidity and premature mortality not directly due to HIV. These risk factors should be identified early and managed by appropriate interventions, particularly in patients who have responded well to their antiretroviral therapy.
The authors and University of Southern California were saddened by the recent death of Dr Vincent DeQuattro. Dr DeQuattro made valuable contributions to this work and to the field of hypertension during his 25 years at USC.
1. Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease.
Diabetes 1988, 37: 1595–1607.
2. DeFronzo RA. Insulin resistance, hyperinsulinemia, and coronary artery disease: a complex metabolic web. J Cardiovasc Pharmacol 1992, 20: S1–S16.
3. Reaven GM. Syndrome X: 6 years later. J Intern Med 1994, 736 (suppl): 13–22.
4. Fagan TC, Deedwania PC. The cardiovascular dysmetabolic syndrome. Am J Med 1998, 105: S77–S82
5. Deedwania PC. The deadly quartet revisited. Am J Med 1998, 105: S1–S3.
6. Kaplan NM. The deadly quartet. Upper-body obesity, glucose intolerance, hypertriglyceridemia, and hypertension.
Arch Intern Med 1989, 149: 1514–1520.
7. Miller KD, Jones E, Yanovski JA, Shankar R, Feuerstein I, Falloon J. Visceral abdominal-fat accumulation associated with use of indinavir. Lancet 1998, 351: 871–875.
8. Dong KL, Bausserman LL, Flynn MM. et al
. Changes in body habitus and serum lipid abnormalities in HIV-positive women on highly active antiretroviral therapy (HAART). J Acquir Immune Defic Syndr 1999, 21: 107–113.
9. Gervasoni C, Ridolfo AL, Trifiro G. et al
. Redistribution of body fat in HIV-infected women undergoing combined antiretroviral therapy. AIDS 1999, 13: 465–471.
10. Sutinen J, Mathur-Wagh U. Changes in body shape during PI therapy in HIV+ women. Sixth Conference on Retroviruses and Opportunistic Infections.
Chicago, January–February 1999 [abstract no. 662].
11. Safrin S, Grunfeld C. Fat distribution and metabolic changes in patients with HIV infection. AIDS 1999, 13: 2493–2505.
12. Carr A, Samaras K, Burton S. et al
. A syndrome of peripheral lipodystrophy, hyperlipidaemia and insulin resistance in patients receiving HIV protease inhibitors. AIDS 1998, 12: F51–F58.
13. Carr A, Samaras K, Thorisdottir A. et al
. Diagnosis, prediction, and natural course of HIV-1 protease-inhibitor-associated lipodystrophy, hyperlipidaemia, and diabetes mellitus: a cohort study. Lancet 1999, 353: 2093–2099.
14. Walli R, Herfort O, Michl GM. et al
. Treatment with protease inhibitors associated with peripheral insulin resistance and impaired oral glucose tolerance in HIV-1-infected patients. AIDS 1998, 12: F167–F173.
15. Behrens G, Dejam A, Schmidt H. et al
. Impaired glucose tolerance, beta cell function and lipid metabolism in HIV patients under treatment with protease inhibitors. AIDS 1999, 13: F63–F70.
16. Saint-Marc T, Partisani M, Poizot-Martin I. et al
. A syndrome of peripheral fat wasting (lipodystrophy) in patients receiving long-term nucleoside analogue therapy. AIDS 1999, 13: 1659–1667.
17. Saint-Marc T, Partisani M, Poizot-Martin I. et al
. Fat distribution evaluated by computed tomography and metabolic abnormalities in patients undergoing antiretroviral therapy: preliminary results of the LIPOCO study. AIDS 2000, 14: 37–49.
18. Yarasheski KE, Tebas P, Sigmund C. et al
. Insulin resistance in HIV protease inhibitor-associated diabetes. J Acquir Immune Defic Syndr 1999, 21: 209–216.
19. Dube MP. Disorders of glucose metabolism in patients infected with human immunodeficiency virus. Clin Infect Dis 2000, 31: 1467–1475.
20. Falutz J. Lipid abnormalities and body composition alteration in progressive stages of the HIV/HAART associated lipodystrophy (HAL) syndrome.Sixth Conference on Retroviruses and Opportunistic Infections.
Chicago, January–February 1999 [abstract no. 646].
21. Mulligan K, Grunfeld C, Tai VW. et al
. Hyperlipidemia and insulin resistance are induced by protease inhibitors independent of changes in body composition in patients with HIV infection. J Acquir Immune Defic Syndr 2000, 23: 35–43.
22. Carr A, Samaras K, Chisholm DJ, Cooper DA. Pathogenesis of HIV-1-protease inhibitor-associated peripheral lipodystrophy, hyperlipidaemia, and insulin resistance. Lancet 1998, 351: 1881–1883.
23. Lo JC, Mulligan K, Tai VW, Algren H, Schambelan M. Buffalo hump in men with HIV-1 infection. Lancet 1998, 351: 867–870.
24. Engelson ES, Kotler DP, Tan Y. et al
. Fat distribution in HIV-infected patients reporting truncal enlargement quantified by whole-body magnetic resonance imaging. Am J Clin Nutr 1999, 69: 1162–1169.
25. Madge S, Kinloch-de-Loes S, Mercey D, Johnson MA, Weller IV. Lipodystrophy in patients naive to HIV protease inhibitors. AIDS 1999, 13: 735–737.
26. Hommes MJ, Romijn JA, Endert E, Eeftinck Schattenkerk JK, Sauerwein HP. Insulin sensitivity and insulin clearance in human immunodeficiency virus-infected men. Metabolism 1991, 40: 651–656.
27. Lichtenstein K, Ward D, Delaney K, Moorman A, et al. Clinical factors related to the severity of fat redistribution in the HIV outpatient study (HOPS). Antiviral Therapy: First International Workshop on the Adverse Drug Reactions and Lipodystrophy in HIV.
San Diego, June 1999 [abstract no. 071].
28. Mallal SA, John M, Moore CB, James IR, McKinnon EJ. Contribution of nucleoside analogue reverse transcriptase inhibitors to subcutaneous fat wasting in patients with HIV infection. AIDS 2000, 14: 1309–1316.
29. Chow D, Souza S, Richmond-Crum S, Shikuma C. Epidemiologic evidence of increasing blood pressure in HIV-1-infected individuals in the era of HAART. Antiviral Ther 2000, 5: 31.31.
30. Mattana J, Siegal FP, Sankaran RT, Singhal PC. Absence of age-related increase in systolic blood pressure in ambulatory patients with HIV infection. Am J Med Sci 1999, 317: 232–237.
31. Thiebaut R, Daucourt V, Mercie P. et al
. Lipodystrophy, metabolic disorders, and human immunodeficiency virus infection: Aquitaine Cohort, France, 1999. Clin Infect Dis 2000, 31: 1482–1487.
32. Gray DS, Fujioka K, Colletti PM. et al
. Magnetic-resonance imaging used for determining fat distribution in obesity and diabetes. Am J Clin Nutr 1991, 54: 623–627.
33. Ashwell M, Cole TJ, Dixon AK. Obesity: new insight into the anthropometric classification of fat distribution shown by computed tomography. Br Med J (Clin Res Ed) 1985, 290: 1692–1694.
34. Seidell JC, Oosterlee A, Thijssen MA. et al
. Assessment of intra-abdominal and subcutaneous abdominal fat: relation between anthropometry and computed tomography. Am J Clin Nutr 1987, 45: 7–13.
35. Ferland M, Despres JP, Tremblay A. et al
. Assessment of adipose tissue distribution by computed axial tomography in obese women: association with body density and anthropometric measurements. Br J Nutr 1989, 61: 139–148.
36. Peiris AN, Sothmann MS, Hennes MI. et al
. Relative contribution of obesity and body fat distribution to alterations in glucose insulin homeostasis: predictive values of selected indices in premenopausal women. Am J Clin Nutr 1989, 49: 758–764.
37. Ross R, Leger L, Morris D, de Guise J, Guardo R. Quantification of adipose tissue by MRI: relationship with anthropometric variables. J Appl Physiol 1992, 72: 787–795.
38. Lloyd-Jones DM, Evans JC, Larson MG, O’Donnell CJ, Levy D. Differential impact of systolic and diastolic blood pressure level on JNC-VI staging. Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.
Hypertension 1999, 34: 381–385.
39. Kannel WB, Gordon T, Schwartz MJ. Systolic versus diastolic blood pressure and risk of coronary heart disease. The Framingham study.
Am J Cardiol 1971, 27: 335–346.
40. SHEP Cooperative Research Group. Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP).
JAMA 1991, 265: 3255–3264.
41. Kannel WB, Dawber TR, McGee DL. Perspectives on systolic hypertension. The Framingham study.
Circulation 1980, 61: 1179–1182.
42. Wilson P, Kannel W. Hypertension, other risk factors, and the risk of cardiovascular disease.
In Hypertension: Pathophysiology, Diagnosis, and Management.
Edited by Laragh J, Brenner B. New York: Raven Press; 1995:99–114.
43. Neaton J, Kuller L, Stamler J, Wentworth D. Impact of systolic and diastolic blood pressure on cardiovascular mortality.
In Hypertension: Pathophysiology, Diagnosis, and Management.
Edited by Laragh J, Brenner B. New York: Raven Press; 1995:124–144.
44. Pickering TG. White coat hypertension: time for action. Circulation 1998, 98: 1834–1836.
45. Burt VL, Whelton P, Roccella EJ. et al
. Prevalence of hypertension in the US adult population. Results from the Third National Health and Nutrition Examination Survey, 1988–1991.
Hypertension 1995, 25: 305–313.
46. The fifth report of the Joint National Committee on Detection, Evaluation, and Treatment of High Blood Pressure (JNC V). Arch Intern Med 1993, 153: 154–183.
47. National High Blood Pressure Education Program Working Group report on primary prevention of hypertension. Arch Intern Med 1993, 153: 186–208.
48. Reaven GM. Insulin resistance and compensatory hyperinsulinemia: role in hypertension, dyslipidemia, and coronary heart disease. Am Heart J 1991, 121: 1283–1288.
49. Ross R, Fortier L, Hudson R. Separate associations between visceral and subcutaneous adipose tissue distribution, insulin and glucose levels in obese women. Diabetes Care 1996, 19: 1404–1411.
50. Gautier JF, Mourier A, de Kerviler E. et al
. Evaluation of abdominal fat distribution in non-insulin-dependent diabetes mellitus: relationship to insulin resistance. J Clin Endocrinol Metab 1998, 83: 1306–1311.
51. Arioglu E, Duncan-Morin J, Sebring N. et al
. Efficacy and safety of troglitazone in the treatment of lipodystrophy syndromes. Ann Intern Med 2000, 133: 263–274.
52. Bonoro E, Kiechel S, Willeit J, et al. Prevalence of insulin resistance in metabolic diseases from a population-based study. Diabetes
(suppl 1) [abstract no. 136A].
53. Dube M, Aqeel R, Edmondson-Melancon H. et al
. Effect of initiating indinavir therapy on glucose metabolism in HIV-infected patients: results of minimal model analysis. Antiviral Therapy 1999, 4 (suppl 2): 34.34.
54. Hadigan C, Miller K, Corcoran C, Anderson E, Basgoz N, Grinspoon S. Fasting hyperinsulinemia and changes in regional body composition in human immunodeficiency virus-infected women. J Clin Endocrinol Metab 1999, 84: 1932–1937.
55. Hadigan C, Corcoran C, Stanley T. et al
. Fasting hyperinsulinemia in human immunodeficiency virus-infected men: relationship to body composition, gonadal function, and protease inhibitor use. J Clin Endocrinol Metab 2000, 85: 35–41.
56. Grandi AM, Gaudio G, Fachinetti A. et al
. Influence of family history of hypertension on insulin sensitivity in lean and obese hypertensive subjects. Eur J Clin Invest 1997, 27: 774–779.
57. Mattiasson I, Endre T, Berglund G, Hulthen UL. Insulin sensitivity, sodium-lithium countertransport and platelet free calcium concentrations in normotensive men with a family history of hypertension. J Hum Hypertens 1998, 12: 259–264.
58. Grandi AM, Gaudio G, Fachinetti A. et al
. Insulin sensitivity in obese normotensive adults: influence of family history of hypertension. Int J Obes Relat Metab Disord 1998, 22: 910–914.
59. Lopes HF, Silva HB, Soares JA. et al
. Lipid metabolism alterations in normotensive subjects with positive family history of hypertension. Hypertension 1997, 30: 629–631.
60. Whelton PK. Epidemiology of hypertension. Lancet 1994, 344: 101–106.
61. Fiebach NH, Hebert PR, Stampfer MJ. et al
. A prospective study of high blood pressure and cardiovascular disease in women. Am J Epidemiol 1989, 130: 646–654.
62. Whelton PK, Perneger TV, Brancati FL, Klag MJ. Epidemiology and prevention of blood pressure-related renal disease. J Hypertens 1992, 10 (suppl): S77–S84.
63. Stamler J, Stamler R, Neaton JD. Blood pressure, systolic and diastolic, and cardiovascular risks. US population data.
Arch Intern Med 1993, 153: 598–615.
64. Kannel W. Coronary risk factors: an overview.
In Cardiovascular Medicine.
Edited by Willerson J, Cohn J. New York: Churchill Livingstone; 1995:1809–1828.
65. MacMahon S, Peto R, Cutler J. et al
. Blood pressure, stroke, and coronary heart disease. Part 1, Prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias.
Lancet 1990, 335: 765–774.
Abdominal obesity; elevated blood pressure; fat accumulation; hypertension; lipodystrophy; metabolism; serum lipids
© 2001 Lippincott Williams & Wilkins, Inc.
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