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Free access

Low testosterone levels predict all-cause mortality and cardiovascular events in women: a prospective cohort study in German primary care patients

Caroline Sievers, Jens Klotsche, Lars Pieper, Harald J Schneider, Winfried März, Hans Ulrich Wittchen, Günter K Stalla, and Christos Mantzoros

Objective

Although associations between testosterone and cardiovascular (CV) morbidity in women have been proposed, no large prospective study has evaluated potential associations between testosterone and mortality in women. The objective was to determine whether baseline testosterone levels in women are associated with future overall or CV morbidity and mortality.

Design

Prospective cohort study with a 4.5-year follow-up period.

Methods

From a representative sample of German primary care practices, 2914 female patients between 18 and 75 years were analyzed for the main outcome measures: CV risk factors, CV diseases, and all-cause mortality.

Results

At baseline, the study population was aged 57.96±14.37 years with a mean body mass index of 26.71±5.17 kg/m2. No predictive value of total testosterone for incident CV risk factors or CV diseases was observed in logistic regressions. Patients with total testosterone levels in the lowest quintile Q1, however, had a higher risk to die of any cause or to develop a CV event within the follow-up period compared to patients in the collapsed quintiles Q2–Q5 in crude and adjusted Cox regression models (all-cause mortality: Q2–Q5 versus Q1: crude hazard ratios (HR) 0.49, 95% confidence interval (CI) 0.33–0.74; adjusted HR 0.62, 95% CI 0.42–0.939; CV events: Q2–Q5 versus Q1: crude HR 0.54, 95% CI 0.38–0.77; adjusted HR 0.68, 95% CI 0.48–0.97). Kaplan–Meier curves revealed similar data.

Conclusions

Low baseline testosterone in women is associated with increased all-cause mortality and incident CV events independent of traditional risk factors.

Free access

ACTH after 15 min distinguishes between Cushing's disease and ectopic Cushing's syndrome: a proposal for a short and simple CRH test

Katrin Ritzel, Felix Beuschlein, Christina Berr, Andrea Osswald, Nicole Reisch, Martin Bidlingmaier, Harald Schneider, Jürgen Honegger, Lucas L. Geyer, Jochen Schopohl, and Martin Reincke

Objective

The aim of the present study was to validate criteria of corticotropin-releasing hormone (CRH) stimulation and 8 mg dexamethasone suppression (high-dose dexamethasone suppression, HDDS) to distinguish the etiology of ACTH-dependent Cushing's syndrome.

Subjects and methods

We retrospectively analyzed cortisol and ACTH after the injection of 100 μg human CRH in confirmed Cushing's disease (CD, n=78) and confirmed ectopic Cushing's syndrome (ECS, n=18). Cortisol and ACTH increase (in percentage above basal (%B)) at each time point, maximal increase (Δmax %B), and area under the curve (AUC %B) were analyzed using receiver operator characteristics (ROC) curve analyses. Cortisol suppression (%B) after 8 mg of dexamethasone was evaluated as a supplementary criterion.

Results

An increase in ACTH of ≥43%B at 15 min after CRH was the strongest predictor of CD, with a positive likelihood ratio of 14.0, a sensitivity of 83%, a specificity of 94%, a positive predictive value of 98% and a negative predictive value of 58%. All of the other criteria of stimulated ACTH and cortisol levels were not superior in predicting CD in response to CRH injection. The addition of cortisol suppression by dexamethasone did not increase the discriminatory power. However, the combination of a positive ACTH response at 15 min and a positive HDDS test excluded ECS in all cases.

Conclusion

The present findings support the use of plasma ACTH levels 15 min after the injection of human CRH as a response criterion for distinguishing between CD and ECS. The addition of the HDDS test is helpful for excluding ECS when both tests are positive.

Free access

Proposal of a clinical response score and predictors of clinical response to 2 years of GH replacement therapy in adult GH deficiency

Harald J Schneider, Michael Buchfelder, Henri Wallaschofski, Anton Luger, Gudmundur Johannsson, Peter H Kann, and Anders Mattsson

Objective

There is no single clinical marker to reliably assess the clinical response to growth hormone replacement therapy (GHRT) in adults with growth hormone deficiency (GHD). The objective of this study was to propose a clinical response score to GHRT in adult GHD and to establish clinical factors that predict clinical response.

Design

This was a prospective observational cohort study from the international KIMS database (Pfizer International Metabolic Database).

Methods

We included 3612 adult patients with GHD for proposing the response score and 844 patients for assessing predictors of response. We propose a clinical response score based on changes in total cholesterol, waist circumference and QoL-AGHDA quality of life measurements after 2 years of GHRT. A score point was added for each quintile of change in each variable, resulting in a sum score ranging from 3 to 15. For clinical response at 2 years, we analysed predictors at baseline and after 6 months using logistic regression analyses.

Results

In a baseline prediction model, IGF1, QoL-AGHDA, total cholesterol and waist circumference predicted response, with worse baseline parameters being associated with a favourable response (AUC 0.736). In a combined baseline and 6-month prediction model, baseline QoL-AGHDA, total cholesterol and waist circumference, and 6-month change in waist circumference were significant predictors of response (AUC 0.815).

Conclusions

A simple clinical response score might be helpful in evaluating the success of GHRT. The baseline prediction model may aid in the decision to initiate GHRT and the combined prediction model may be helpful in the decision to continue GHRT.

Free access

Opposite associations of age-dependent insulin-like growth factor-I standard deviation scores with nutritional state in normal weight and obese subjects

Harald Jörn Schneider, Bernhard Saller, Jens Klotsche, Winfried März, Wolfgang Erwa, Hans-Ullrich Wittchen, and Günter Karl Stalla

Objective: Insulin-like growth factor-I (IGF-I) has been suggested to be a prognostic marker for the development of cancer and, more recently, cardiovascular disease. These diseases are closely linked to obesity, but reports of the association of IGF-I with measures of obesity are divergent. In this study, we assessed the association of age-dependent IGF-I standard deviation scores with body mass index (BMI) and intra-abdominal fat accumulation in a large population.

Design: A cross-sectional, epidemiological study.

Methods: IGF-I levels were measured with an automated chemiluminescence assay system in 6282 patients from the DETECT study. Weight, height, and waist and hip circumference were measured according to the written instructions. Standard deviation scores (SDS), correcting IGF-I levels for age, were calculated and were used for further analyses.

Results: An inverse U-shaped association of IGF-I SDS with BMI, waist circumference, and the ratio of waist circumference to height was found. BMI was positively associated with IGF-I SDS in normal weight subjects, and negatively associated in obese subjects. The highest mean IGF-I SDS were seen at a BMI of 22.5–25 kg/m2 in men (+0.08), and at a BMI of 27.5–30 kg/m2 in women (+0.21). Multiple linear regression models, controlling for different diseases, medications and risk conditions, revealed a significant negative association of BMI with IGF-I SDS. BMI contributed most to the additional explained variance to the other health conditions.

Conclusions: IGF-I standard deviation scores are decreased in obesity and underweight subjects. These interactions should be taken into account when analyzing the association of IGF-I with diseases and risk conditions.

Free access

Cut-off limits of the GH response to GHRH plus arginine test and IGF-I levels for the diagnosis of GH deficiency in late adolescents and young adults

Ginevra Corneli, Carolina Di Somma, Flavia Prodam, Jaele Bellone, Simonetta Bellone, Valentina Gasco, Roberto Baldelli, Silvia Rovere, Harald Jörn Schneider, Luigi Gargantini, Roberto Gastaldi, Lucia Ghizzoni, Domenico Valle, Mariacarolina Salerno, Annamaria Colao, Gianni Bona, Ezio Ghigo, Mohamad Maghnie, and Gianluca Aimaretti

Objective

To define the appropriate diagnostic cut-off limits for the GH response to GHRH+arginine (ARG) test and IGF-I levels, using receiver operating characteristics (ROC) curve analysis, in late adolescents and young adults.

Design and methods

We studied 152 patients with childhood-onset organic hypothalamic–pituitary disease (85 males, age (mean±s.e.m.): 19.2±0.2 years) and 201 normal adolescents as controls (96 males, age: 20.7±0.2 years). Patients were divided into three subgroups on the basis of the number of the other pituitary hormone deficits, excluding GH deficiency (GHD): subgroup A consisted of 35 panhypopituitary patients (17 males, age: 21.2±0.4 years), subgroup B consisted of 18 patients with only one or with no more than two pituitary hormone deficits (7 males, age: 20.2±0.9 years); and subgroup C consisted of 99 patients without any known hormonal pituitary deficits (60 males, age: 18.2±0.2 years). Both patients and controls were lean (body mass index, BMI<25 kg/m2). Patients in subgroup A were assumed to be GHD, whereas in patients belonging to subgroups B and C the presence of GHD had to be verified.

Results

For the GHRH+ARG test, the best pair of highest sensitivity (Se; 100%) and specificity (Sp; 97%) was found choosing a peak GH of 19.0 μg/l. For IGF-I levels, the best pair of highest Se (96.6%) and Sp (74.6%) was found using a cut-off point of 160 μg/l (SDS: −1.3). Assuming 19.0 μg/l to be the cut-off point established for GHRH+ARG test, 72.2% of patients in subgroup B and 39.4% in subgroup C were defined as GHD. In patients belonging to group B and C and with a peak GH response <19 μg/l to the test, IGF-I levels were lower than 160 μg/l (or less than 1.3 SDS) in 68.7 and 41.6% of patients respectively predicting severe GHD in 85.7% of panhypopituitary patients (subgroup A).

Conclusions

In late adolescent and early adulthood patients, a GH cut-off limit using the GHRH+ARG test lower than 19.0 μg/l is able to discriminate patients with a suspicion of GHD and does not vary from infancy to early adulthood.

Free access

Prediction of incident diabetes mellitus by baseline IGF1 levels

Harald Jörn Schneider, Nele Friedrich, Jens Klotsche, Sabine Schipf, Matthias Nauck, Henry Völzke, Caroline Sievers, Lars Pieper, Winfried März, Hans-Ulrich Wittchen, Günter Karl Stalla, and Henri Wallaschofski

Objective

IGF1 is associated with metabolic parameters and involved in glucose metabolism. Low-IGF1 has been implicated in the etiology of glucose intolerance and subjects with pathological causes of either low- or high-IGF1 are at risk of diabetes. We hypothesized that both low- and high-IGF1 levels increase the risk of diabetes and aimed to assess the role of IGF1 in the risk of developing diabetes in a large prospective study.

Design

An analysis of two prospective cohort studies, the DETECT study and SHIP.

Methods

We measured IGF1 levels in 7777 nondiabetic subjects and assessed incident diabetes mellitus during follow-up.

Results

There were 464 cases of incident diabetes during 32 229 person-years (time of follow-up in the DETECT study and SHIP: 4.5 and 5 years respectively). There was no heterogeneity between both studies (P>0.4). The hazard ratios (HRs) of incident diabetes in subjects with IGF1 levels below the 10th or above the 90th age- and sex-specific percentile, compared to subjects with intermediate IGF1 levels, were 1.44 (95% confidence interval (CI) 1.07–1.94) and 1.55 (95% CI 1.06–2.06) respectively, after multiple adjustment. After further adjustment for metabolic parameters, the HR for low-IGF1 became insignificant. Analysis of IGF1 quintiles revealed a U-shaped association of IGF1 with risk of diabetes. Results remained similar after exclusion of patients with onset of new diabetes within 1 year or with borderline glucose or HbA1c levels at baseline.

Conclusions

Subjects with low- or high-IGF1 level are at increased risk of developing diabetes.

Free access

Associations of age-dependent IGF-I SDS with cardiovascular diseases and risk conditions: cross-sectional study in 6773 primary care patients

Harald Jörn Schneider, Jens Klotsche, Bernhard Saller, Steffen Böhler, Caroline Sievers, David Pittrow, Günther Ruf, Winfried März, Wolfang Erwa, Andreas M Zeiher, Sigmund Silber, Hendrik Lehnert, Hans-Ullrich Wittchen, and Günter Karl Stalla

Objective

We aimed at investigating the association of age-dependent IGF-I SDS with diabetes, dyslipidemia, hypertension, and heart diseases, in a large patient sample.

Background

IGF-I has been suggested to be associated with several diseases and a prognostic marker for the development of cardiovascular diseases and risk factors. The findings, though, have been inconsistent possibly due to the methodological factors.

Methods

We studied 6773 consecutive primary care patients, aged 18+ years, in a cross-sectional, epidemiological study in primary care, Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment study. All patients underwent a standardized clinical diagnostic and laboratory assessment. IGF-I levels were measured with an automated chemiluminescence assay system. We calculated the odds ratios (OR) for diseases in quintiles of IGF-I, and additionally analyzed the association of age-dependent IGF-I SDS with these conditions.

Results

After multiple adjustments for confounders, we found increased ORs for coronary artery disease in patients with high IGF-I. Women, but not men, with low IGF-I also showed increased ORs for coronary artery disease. Dyslipidemia was positively associated with IGF-I. Type 2 diabetes showed a curvilinear association with IGF-I SDS.

Conclusions

The findings suggest the existence of multiple and complex interactions between IGF-I and several health conditions. The complex nature of disease- and subgroup-specific associations along with the methodological factors can be held responsible for divergent findings in previous studies.