Marguerite J. McNeely

The Independent Contributions of Diabetic Neuropathy and Vasculopathy in Foot Ulceration: How Great Are the Risks?

OBJECTIVE To describe the relative contributions of neurological and vascular abnormalities to the overall risk of diabetic foot ulceration. RESEARCH DESIGN AND METHODS A case-control study of diabetic veterans from the Seattle Veterans Affairs Medical Center was conducted using data collected from 46 patients with diabetic foot ulcers and 322 control subjects. Neuropathy was determined by vibratory, monofilament, and tendon reflex testing. Macro-vascular disease was measured by ankle-arm blood pressure index, and cutaneous perfusion was measured by transcutaneous oxygen tension (TcPO2) on the dorsal foot. A multi variate logistic regression model was used to adjust for confounding variables and to calculate the odds ratios (ORs) for each independent risk factor. RESULTS Three variables were significant independent predictors of foot ulceration: absence of Achilles tendon reflexes (adjusted OR 6.48, 95% confidence interval [CI] 2.37–18.06), insensate to the 5.07 monofilament (adjusted OR 18.42, 95% CI 3.83–88.47), and TcPO2 <30 mmHg (adjusted OR 57.87, 95% CI 5.08–658.96). Absent vibratory sensation and low ankle-arm blood pressure index were not significant independent risk factors. CONCLUSIONS Both neuropathy and vasculopathy are strong independent risk factors for the development of diabetic foot ulcers. In our model, the strongest risk factor is impaired cutaneous oxygenation. However, in the clinical setting, sensory examination with a 5.07 monofilament probably remains the single most practical measure of risk assessment.

Oral Disposition Index Predicts the Development of Future Diabetes Above and Beyond Fasting and 2-h Glucose Levels

OBJECTIVE—We sought to determine whether an oral disposition index (DIO) predicts the development of diabetes over a 10-year period. First, we assessed the validity of the DIO by demonstrating that a hyperbolic relationship exists between oral indexes of insulin sensitivity and β-cell function. RESEARCH DESIGN AND METHODS—A total of 613 Japanese-American subjects (322 men and 291 women) underwent a 75-g oral glucose tolerance test (OGTT) at baseline, 5 years, and 10 years. Insulin sensitivity was estimated as 1/fasting insulin or homeostasis model assessment of insulin sensitivity (HOMA-S). Insulin response was estimated as the change in insulin divided by change in glucose from 0 to 30 min (ΔI0–30/ΔG0–30). RESULTS—ΔI0–30/ΔG0–30 demonstrated a curvilinear relationship with 1/fasting insulin and HOMA-S with a left and downward shift as glucose tolerance deteriorated. The confidence limits for the slope of the loge-transformed estimates included −1 for ΔI0–30/ΔG0–30 versus 1/fasting insulin for all glucose tolerance groups, consistent with a hyperbolic relationship. When HOMA-S was used as the insulin sensitivity measure, the confidence limits for the slope included −1 only for subjects with normal glucose tolerance (NGT) or impaired fasting glucose (IFG)/impaired glucose tolerance (IGT) but not diabetes. On the basis of this hyperbolic relationship, the product of ΔI0–30/ΔG0–30 and 1/fasting insulin was calculated (DIO) and decreased from NGT to IFG/IGT to diabetes (P < 0.001). Among nondiabetic subjects at baseline, baseline DIO predicted cumulative diabetes at 10 years (P < 0.001) independent of age, sex, BMI, family history of diabetes, and baseline fasting and 2-h glucose concentrations. CONCLUSIONS—The DIO provides a measure of β-cell function adjusted for insulin sensitivity and is predictive of development of diabetes over 10 years.

Visceral Adiposity Is an Independent Predictor of Incident Hypertension in Japanese Americans

Context Central obesity and hypertension are well-established components of the metabolic syndrome, but what exactly is the relationship between visceral adiposity and hypertension? Contribution This prospective study used computed tomography to measure multiple body fat areas of 300 middle-aged, normotensive Japanese Americans. Ninety-two participants developed hypertension within 10 to 11 years. Greater visceral adiposity, independent of other measures of body fat and other risk factors, such as plasma insulin and glucose levels, was associated with increased risk for hypertension. Cautions Relationships between visceral adiposity and the development of hypertension may vary in different ethnic groups. The Editors A central pattern of body fat distribution is now generally considered to play an important role in the metabolic syndrome, which involves obesity, insulin resistance, hyperinsulinemia, dyslipidemia, glucose intolerance, and hypertension (1, 2). In particular, visceral adiposity rather than regional or generalized obesity appears to play a key role in these diseases (3-7). Several cross-sectional and prospective studies have examined associations between hypertension and greater central obesity, as measured by waist circumference, the ratio of waist-to-hip circumference, or the ratio of subscapular-to-triceps skinfold thickness (8-15). The cross-sectional studies have reported a positive association (8, 9), but the prospective studies have been inconclusive (10-15). These studies have posited that visceral adiposity and insulin resistance are the most important factors linking greater abdominal obesity (as assessed by surface measurements) and hypertension. Although visceral fat is thought to affect the prevalence of hypertension, only 3 cross-sectional studies have suggested a possible association between visceral adiposity (measured by using computed tomography [CT]) and blood pressure (3, 4, 16); however, the results of these studies were inconclusive. No prospective studies have examined whether directly measured visceral fat is associated with an increased risk for incident hypertension. Therefore, we prospectively examined the relationship between directly measured visceral adiposity and the risk for incident hypertension, independent of other measurements of total and regional adiposity and fasting plasma insulin. Methods Study Sample Between 1983 and 1988, we enrolled 658 second- and third-generation Japanese Americans who were between 34 and 76 years of age (mean age, 54.2 years) into the Japanese American Community Diabetes Study (17, 18). Participants were chosen from volunteers through community-wide recruitment and were representative of Japanese-American residents of King County, Washington, in age distribution, residential distribution, and parental immigration pattern. A comprehensive mailing list and telephone directory that included almost 95% of the Japanese-American population of King County, Washington, was used. All participants were of 100% Japanese ancestry. Participants returned for follow-up examinations 5 to 6 and 10 to 11 years after a baseline evaluation. For the current analysis, eligible participants had systolic blood pressure less than 140 mm Hg and diastolic blood pressure less than 90 mm Hg and were not taking antihypertensive or oral hypoglycemic medications or insulin. We excluded 277 of the 658 participants in the original cohort because they did not meet the inclusion criteria. We excluded an additional 67 persons because of death, loss to follow-up, or withdrawal from the study. Another 14 persons who completed follow-up but had missing covariate information were also excluded. The analytic cohort consisted of 300 persons (Figure). The follow-up rate in the present study was 91% (345 of 381) at the 5- to 6-year examination and 80% (304 of 381) at the 10- to 11-year examination (Figure). Figure. Flow of participants through the study. Data Collection All measurements were made in the General Clinical Research Center at the University of Washington, Seattle, Washington. The Human Subjects Review Committee at the University of Washington approved the protocol for this research, and we obtained signed informed consent from all participants. At all examinations, blood pressure was measured to the nearest 2 mm Hg with a mercury sphygmomanometer while the participant was in a recumbent position. Systolic blood pressure was determined by the first perception of sound, and diastolic blood pressure was determined at the disappearance of sounds (fifth-phase Korotkoff). Average blood pressure was calculated from the second and third of 3 consecutive measurements. We diagnosed hypertension at baseline or follow-up if the average systolic blood pressure was 140 mm Hg or greater, the average diastolic blood pressure was 90 mm Hg or greater, or the participant was receiving antihypertensive medications. We classified participants as hypertensive if they met these criteria at the follow-up examination at 5 to 6 years or 10 to 11 years (Figure). All patients received a 75-g oral glucose tolerance test after a 10-hour fast. We then used the American Diabetes Association criteria (19) to classify patients as having normal glucose tolerance, impaired glucose tolerance, or type 2 diabetes mellitus. Blood samples were drawn after an overnight 10-hour fast and during an oral glucose tolerance test for measurement of plasma glucose and insulin levels. We used an automated glucose oxidase method to assay plasma glucose. Fasting plasma insulin was measured by radioimmunoassay, as reported previously (5, 7). We measured triglyceride and high-density lipoprotein cholesterol levels in the Northwest Lipid Research Laboratory, according to modified procedures of the Lipid Research Clinics (20). We calculated body mass index (BMI) as the weight in kilograms divided by height in meters squared. For CT scans, we used single slices of the thorax, abdomen (at the umbilicus), and mid-thigh to measure cross-sectional subcutaneous thoracic, abdominal, and right thigh and intra-abdominal fat areas (measured in cm2), as described elsewhere (21). We directly estimated visceral adiposity from the intra-abdominal fat area. This measurement has been reported to have a high correlation with directly ascertained total visceral fat volume measured by using CT or magnetic resonance imaging (22, 23). We calculated total subcutaneous fat area as the sum of subcutaneous thoracic and abdominal fat areas and twice the right thigh subcutaneous fat area. We defined total fat area as total subcutaneous fat area plus intra-abdominal fat area. Among Japanese Americans, total fat area correlates highly with fat mass, as measured by hydrodensitometry (r= 0.89 to 0.94) (24). Waist circumference was measured at the level of the umbilicus to the nearest tenth of a centimeter. Participants were questioned about current use of cigarettes and daily consumption of alcoholic beverages, which was converted into grams of alcohol consumed per day. Usual weekly energy expenditure in kilocalories was estimated from questionnaire data on work and recreational activities, strenuous exercise, distance walked, and stairs climbed, as described elsewhere (25). Statistical Analysis We used multiple logistic regression analysis to estimate the odds ratio for incident hypertension in relation to an increase of 1 SD in baseline variables. For rare outcomes, the odds ratio will approximately equal the relative risk. For more frequent outcomes, such as hypertension, the odds ratio will overestimate the relative risk (26). We evaluated nonlinear effects of continuous independent variables by using quadratic and log transformations (27). The linear trends in odds were evaluated by using the median value for each quartile category of continuous variables. To assess departure from linearity, we included linear and quadratic terms (the median and the value squared) in the model (28). To determine whether interaction was present (that is, the relationship between the risk factor and the outcome varied depending on the value of a third variable) (27, 29, 30), we inserted first-order interaction terms into appropriate regression models. We assessed interaction to determine whether the relationship between hypertension status at follow-up and baseline adipose variables, such as intra-abdominal fat area, subcutaneous abdominal fat area, total subcutaneous fat area, BMI, or waist circumference, differed according to the level of an additional variable (for example, sex) in the model. We used the likelihood ratio test to determine the statistical significance of nonlinear effects of continuous independent variables and interaction terms in the logistic regression models. Multicollinearity was assessed by using the variance inflation factor (31). A variance inflation factor exceeding 10 is regarded as indicating serious multicollinearity, and values greater than 4.0 may be a cause for concern (31). We calculated the 95% CI for each odds ratio. P values were 2-tailed. We performed statistical analyses using Stata SE, version 8.0 (Stata Corp., College Station, Texas). Role of the Funding Sources The funding sources had no role in the collection, analysis, or interpretation of the data or in the decision to submit the manuscript for publication. Results Among the 300 eligible men and women followed for 10 to 11 years, there were 92 incident cases of hypertension. In univariate logistic regression analysis, intra-abdominal fat area, abdominal subcutaneous fat area, total subcutaneous fat area, total fat area, BMI, and waist circumference were associated with a higher incidence of hypertension. Fasting plasma insulin level, fasting plasma glucose level, 2-hour plasma glucose level, and high-density lipoprotein cholesterol level were also associated with incidence of hypertension (Table 1). Wealso compared the baseline characteristics of participants included in

Cardiovascular Disease Mortality in Familial Forms of Hypertriglyceridemia: A 20-Year Prospective Study

BACKGROUND Familial combined hyperlipidemia (FCHL) and familial hypertriglyceridemia (FHTG) are 2 of the most common familial forms of hyperlipidemia. There is a paucity of prospective data concerning the risk of cardiovascular disease (CVD) in such families. The purposes of this study were to estimate 20-year total and CVD mortality risk among relatives in these families and to evaluate plasma triglyceride as a predictor of death. METHODS AND RESULTS The study was based on lipid and medical history data from 101 families ascertained in 2 studies conducted in the early 1970s. Vital status and cause of death was determined during 1993 to 1997 for 685 family members, including first-degree relatives of the probands and spouse control subjects. Compared with spouse control subjects, 20-year CVD mortality risk was increased among siblings and offspring in FCHL (relative risk 1.7, P=0.02) after adjustment for baseline covariates. In FHTG families, the relative risk was also 1.7 but was not statistically significant (P=0.39). Baseline triglyceride was associated with increased CVD mortality risk independent of total cholesterol among relatives in FHTG families (relative risk 2.7, P=0.02) but not in FCHL families (relative risk 1.5, P=0.16) after adjustment for baseline covariates. CONCLUSIONS This prospective study establishes that relatives in FCHL families are at increased risk for CVD mortality and illustrates the need for effective prevention strategies in this group. Baseline triglyceride level predicted subsequent CVD mortality among relatives in FHTG families, adding to the growing evidence for the importance of hypertriglyceridemia as a risk factor for CVD.

The diagnosis of luteal phase deficiency: a critical review

Luteal phase deficiency is an ovulatory dysfunction problem that is subtle but real. It may be the most common ovulatory problem in women. Luteal phase deficiency has been clearly demonstrated in the research setting (1) in spontaneous cycles, (2) when follicular maturation has been impeded, and (3) when luteotrophic influences have been suppressed. The diagnosis of LPD in the clinical setting remains problematic and controversial primarily because there is no practical diagnostic method that has been validated. This article has reviewed the methods that have been used to diagnose LPD. BBT charts are insensitive; these charts reliably diagnose LPD only when there are persistent short luteal phases. There is disagreement whether ovarian follicular size, as determined by ultrasonography, is decreased in LPD; however, ultrasonographic diagnosis of LPD would require daily scans through ovulation, which makes this approach impractical. Mild hyperprolactinemia is a probable cause of LPD in a minority of patients; a physician should obtain a PRL level in LPD women with the realization that there is considerable sampling variability. Determination of serum gonadotropin levels (LH or FSH or both) is not practical for the clinical diagnosis of LPD. Random serum P levels, whether single or multiple, are not helpful in the diagnosis of LPD in individual patients. The secretory pattern of P results in such wide confidence limits that P samples from individuals cannot be compared to normal in a useful manner. Most of the controversy about the diagnosis of LPD has centered around the use of individual serum P levels. The timed endometrial biopsy relies on the endometrium as a bioassay of P over time. The endometrial biopsy has not been carefully validated in terms of its sensitivity or accuracy for the diagnosis of LPD. However, it remains the best current method for the diagnosis of LPD when the standard guidelines for its use are followed. As opposed to the other tests for LPD, awareness of the usefulness of the biopsy has increased as we have learned more about CL physiology. No current research method for the diagnosis of LPD appears to be a practical method that could be applied in the clinical setting. Specific secretory proteins from the endometrium and methods to measure hormone secretion that circumvent the secretory pattern hold promise for improved methods to diagnose LPD in the future.

Visceral Adiposity, not Abdominal Subcutaneous Fat Area, Is Associated with an Increase in Future Insulin Resistance in Japanese Americans

OBJECTIVE—Visceral adiposity is generally considered to play a key role in the metabolic syndrome. We sought to determine whether greater visceral adiposity directly measured by computed tomography (CT) is associated with increased future insulin resistance independent of other adipose depots. RESEARCH DESIGN AND METHODS— We followed 306 nondiabetic Japanese Americans over 10–11 years. Baseline variables included BMI; waist circumference; and abdominal, thoracic, and thigh fat areas measured by CT. Total fat area was estimated by the sum of all of these fat areas. Visceral adiposity was measured as intra-abdominal fat area at the umbilicus level. Total subcutaneous fat area was defined as total fat area minus intra-abdominal fat area. Insulin resistance was evaluated by homeostasis model assessment for insulin resistance (HOMA-IR), fasting plasma insulin level, Matsuda index, and area under the oral glucose tolerance test curve (AUC) of insulin. RESULTS— Both baseline intra-abdominal fat area (P = 0.002) and HOMA-IR (P < 0.001) were independently associated with increased HOMA-IR at 10–11 years in a multiple linear regression model after adjustment for abdominal subcutaneous fat area, age, sex, 2-h plasma glucose level, and incremental insulin response. Intra-abdominal fat area remained a significant predictor of increased HOMA-IR at 10–11 years even after adjustment for total subcutaneous fat area, total fat area, BMI, or waist circumference, but no other measure of CT-measured regional or total adiposity was significantly related with HOMA-IR at 10–11 years in models that contained intra-abdominal fat area. Similar results were obtained for predicting future fasting plasma insulin level, Matsuda index, and AUC of insulin. CONCLUSIONS— Greater visceral adiposity is associated with an increase in future insulin resistance.

Low-density lipoprotein particle size, triglycerides, and high-density lipoprotein cholesterol as risk factors for coronary heart disease in older Japanese-American men

Decreased low-density lipoprotein (LDL) particle size is associated with coronary heart disease (CHD) risk among middle-aged Caucasian populations, and has been consistently correlated with increased plasma levels of triglyceride and decreased levels of high-density lipoprotein (HDL) cholesterol. This study examines whether these risk factors predict CHD among older Japanese-American men. With use of the Honolulu Heart Program Lipoprotein Exam 3 (1980 to 1982) as baseline, and 12-year follow-up for CHD events, a nested, case-control study was designed. One hundred forty-five incident CHD cases were identified and matched to 2 controls each. LDL particle diameter (size) was determined by gradient gel electrophoresis. A 10-angstrom (A) decrease in LDL size at baseline was associated with increased risk of incident CHD (relative risk 1.28, 95% confidence interval 1.01 to 1.63). After adjustment for baseline risk factors, the LDL size association was no longer statistically significant (relative risk 1.13, 95% confidence interval 0.86 to 1.49). When principal components analysis was used to define a composite variable for LDL size, triglycerides, and HDL cholesterol, this component predicted CHD independent of smoking, alcohol consumption, physical activity, body mass index, hypertension, diabetes, and beta-blocker use (p <0.01). Therefore, this prospective analysis of data from older, Japanese-American men demonstrated that decreased LDL size is a univariate predictor of incident CHD, and that a composite risk factor of LDL size, triglyceride, and HDL cholesterol was a risk factor for CHD independent of other risk factors.

Visceral Adiposity and the Prevalence of Hypertension in Japanese Americans

Background—Visceral adiposity is generally considered to play a key role in the metabolic syndrome, including hypertension. The purpose of this study was to evaluate cross-sectionally whether visceral adiposity is associated with prevalence of hypertension independent of other adipose depots and fasting plasma insulin. Methods and Results—Study subjects included 563 Japanese Americans with normal or impaired glucose tolerance or diabetes but not taking oral hypoglycemic medication or insulin at entry. Variables included plasma glucose and insulin measured after an overnight fast and during an oral glucose tolerance test, and abdominal, thoracic, and thigh fat areas by CT. Total fat area (TFA) was calculated as the sum of these fat areas. Hypertension was defined as having a systolic blood pressure ≥140 mm Hg, having a diastolic blood pressure ≥90 mm Hg, or taking antihypertensive medications. Intra-abdominal fat area (IAFA) was associated with a higher prevalence of hypertension. Adjusted odds ratio of hypertension by IAFA was 1.68 for a 1-SD increase (95% CI, 1.20 to 2.37) after adjusting for age, sex, fasting plasma insulin, a nonlinear transformation of 2-hour plasma glucose, and TFA. IAFA remained a significant predictor of prevalence of hypertension even after adjustment for total subcutaneous fat area, abdominal subcutaneous fat area, body mass index, or waist circumference, but no measure of regional or total adiposity was associated with the odds of prevalence of hypertension in models that contained IAFA. Conclusions—Greater visceral adiposity increases the odds of hypertension in Japanese Americans independent of other adipose depots and fasting plasma insulin.

Small, Dense LDL and Elevated Apolipoprotein B Are the Common Characteristics for the Three Major Lipid Phenotypes of Familial Combined Hyperlipidemia

Objective—Familial combined hyperlipidemia (FCHL) is associated with variable lipid and lipoprotein phenotypes arbitrarily defined as type IIa, IIb, and IV based on plasma total cholesterol and triglyceride levels. This study sought to characterize consistent lipoprotein and lipid abnormalities across the 3 lipoprotein phenotypes in 62 patients with documented FCHL (IIa [n=14], IIb [n=19], and IV [n=29]) and 44 healthy individuals. Methods and Results—The lipoprotein cholesterol distribution was determined over 38 fractions obtained by density gradient ultracentrifugation. As expected, FCHL patients with hypertriglyceridemia (IIb and IV) had higher cholesterol levels in VLDL than IIa, whereas IIa showed higher cholesterol in the big, buoyant LDL and in HDL. LDL cholesterol was higher in IIb than IV; most of the increase in LDL cholesterol was associated with big, buoyant LDL rather than small, dense LDL (sdLDL). The differences in lipoproteins between phenotypes were attributable to changes in VLDL and big, buoyant LDL levels. Comparison of the FCHL patients with healthy individuals showed a significant elevation in plasma apolipoprotein B levels and sdLDL in all 3 FCHL phenotypes. Conclusions—Although triglyceride and cholesterol levels are variable by lipoprotein phenotype, sdLDL and elevated plasma apolipoprotein B levels are consistent characteristics of FCHL shared by the 3 different lipoprotein phenotypes.

Understanding and Addressing Unique Needs of Diabetes in Asian Americans, Native Hawaiians, and Pacific Islanders

The Asian American (AA) population is currently the fastest growing population in the U.S., having expanded six times faster than the general population in the 1990s (1). In addition, diabetes prevalence continues to rise in this population, as observed for other populations around the world. However, given the diverse natures, cultures, and physiologies among the AA, Native Hawaiian (NH), and Pacific Islander (PI) (AANHPI) populations, and in particular the distinct diabetes profiles, an understanding of these factors can provide important clues to understand the genesis, pathophysiology, and treatment response of diabetes, as well as characterize community outreach programs needed for the wider net of diverse communities throughout the U.S. In this regard, a meeting, whose theme was “Diabetes in Asian Americans, Native Hawaiians, and Pacific Islanders: A Call to Action,” was held in Honolulu, Hawaii, in September 2011 by a coalition of health care organizations and scientists with strong interests in the topic and in the health of AANHPI populations. There was consensus that there is a great need to understand the prevalence and pathophysiology and discuss potential intervention strategies regarding diabetes in AANHPI populations given the unique characteristics of this population. This information may help health care providers understand and improve diabetes prevention, treatment outcomes, and complications in AANHPI populations. In this review, we examine diabetes prevalence in different AANHPI populations to highlight the similarities and differences. The various groups that comprise AANHPI populations are hugely diverse geographically, culturally, and genetically. The U.S. census defines AAs as persons who have origins in the East, Southeast, or South Asia. NHs and PIs are people who have origins in Hawaii, Samoa, or any other Pacific island (2,3). Diversity within each of these groups is also large. For example, although grouped as AAs, the language, culture, and genetics of someone …