NICE guidelines and maintenance ECT.
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Biomedical subjects
Publications and source records attributed to M Procopio.
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Ligand binding by the aryl hydrocarbon receptor (AhR), a member of the bHLH-PAS family of transcriptional regulatory proteins, has been mapped to a region within the second 'PAS' domain, a conserved sequence motif first discovered in the Per-ARNT-Sim family of proteins. In addition to the bacterial photoactive yellow protein (PYP), which had been proposed as a structural prototype for the three dimensional fold of PAS domains, two crystal structures of the PAS domain have recently been determined: the human potassium channel HERG and the heme binding domain of the bacterial O(2) sensing FixL protein. The three structures reveal a highly conserved structural framework in evolutionary rather distant PAS domains, provide a more general view of how these domains can recognize their ligands and suggest a structure-function relationship that we exploited to build a three-dimensional model of the ligand binding domain (LBD) of the mouse aryl hydrocarbon receptor (mAhR). The model allowed us to putatively identify the residues responsible for the recognition of polychlorinated dibenzo-p-dioxins (PCDDs) by AhR receptors and to formulate an hypothesis on the signal transduction mechanism.
AIMS: To evaluate the frequency of impaired glucose tolerance (IGT)and undiagnosed diabetes mellitus together with the indices of insulin resistance (IR) in primary hyperparathyroidism (pHPT). METHODS: Out of 105 consecutive pHPT patients (F/M 78/27, asymptomatic/symptomatic 68/37, age (mean +/- s.d.) 60.7 +/- 12.7 years,body mass index 25.2 +/- 3.8 kg/m2, ionized calcium (iCa) 1.49 +/- 0.16 mmol/l,parathormone 200.4 +/- 233.9 pg/ml),59 without known diabetes mellitus and controls (n = 60) underwent an oral glucose tolerance test (OGTT, 75 g os). As indices of IR, homeostasis model assessment (HOMAIR)or OGTT data (insulin sensitivity index composite (ISI comp)) were evaluated. RESULTS: In pHPT the prevalence of IGT (mean, 95% confidence intervals (CI), 40.7%, 27.8-53.6) was higher than in controls (25.0%, 13.7-36.3, P < 0.03). Similarly,the prevalence of undiagnosed diabetes mellitus was higher in pHPT(15.3%, 5.8-24.7) than in controls (5.0%, 0-10.7, P < 0.05). Moreover,the prevalence of IGT and undiagnosed diabetes was higher in pHPT than that previously reported in the general population of Northern Italy(8.5% and 3.2%, respectively). The indices showed that insulin resistance was higher in pHPT than in controls: HOMAIR (median, 95% CI,2.6, 2.5-3.9 vs. 1.7, 1.6-2.5, respectively; P < 0.003); ISI comp (3.5, 3.4-4.6 vs. 5.1, 4.9-7.2, respectively; P < 0.002). CONCLUSIONS: Our data in a large and modern day pHPT series, with a preponderance of asymptomatic patients, confirm increased insulin resistance and pre-valence of IGT and undiagnosed diabetes.
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OBJECTIVE: To verify the hypothesis of an increased sensitivity to GH in obesity (OB) and Cushing's syndrome (CS). DESIGN: We studied the effects of short-term administration of low-dose rhGH on circulating IGF-I levels in patients with simple OB or CS and in normal subjects (NS). METHODS: Nineteen women with abdominal OB aged (mean +/- s.e.m.) 38.2+/-3.1 years, body mass index 40.7+/-2.5 kg/m(2), waist to hip ratio 0.86+/-0.02, ten with CS (50.4+/-4.2 years, 29.7 +/- 3.3 kg/m(2)) and 11 NS (35.0+/-3.6 years, 20.5+/-0.5 kg/m(2)) underwent s.c. administration of 5 microg/kg per day rhGH at 2200 h for four days. Serum IGF-I, IGF-binding protein-3 (IGFBP-3), GH-binding protein (GHBP), insulin and glucose levels were determined at baseline and 12 h after the first and the last rhGH administration. RESULTS: Basal IGF-I levels in NS (239.3+/-22.9 microg/l) were similar to those in OB (181.5+/-13.7 microg/l) and CS (229.0+/-29.1 microg/l). Basal IGFBP-3, GHBP and glucose levels in NS, OB and CS were similar while insulin levels in NS were lower (P<0.01) than those in OB and CS. In NS, the low rhGH dose induced a sustained rise of IGF-I levels (279.0+/-19.5 microg/l, P<0.001), a non-significant IGFBP-3 increase and no change in GHBP, insulin and glucose levels. In OB and CS, the IGF-I response to rhGH showed progressive increase (246.2+/-17.2 and 311.0+/-30.4 microg/l respectively, P<0.01 vs baseline). Adjusting by ANCOVA for basal values, rhGH-induced IGF-I levels in CS (299.4 microg/l) were higher than in OB (279.1 microg/l, P<0.01), which, in turn, were higher (P<0.05) than in NS (257.7 microg/l). In OB, but not in CS, IGFBP-3 and insulin levels showed slight but significant (P<0.05) increases during rhGH treatment, which did not modify glucose levels in any group; thus, in the OB patient group a significant fall in glucose/insulin ratio was observed. CONCLUSIONS: Short-term treatment with low-dose rhGH has enhanced stimulatory effect on IGF-I levels in OB and, particularly, in hypercortisolemic patients. These findings support the hypothesis that hyperinsulinism and hypercortisolism enhance the sensitivity to GH in humans.
In this review we propose an integrated neuro-endocrine-metabolic point of view on the alterations (adaptations?) of GH/IGF-1 axis in obesity, summarizing the evidence from the literature, particularly focusing the data on humans and adding where possible results from our studies in this field. It is well-known that GH secretion is deeply impaired in overweight patients: we reviewed the multiple mechanisms underlying this issue, considering either central (CNS-related, such as impairment of GHRH tone or increased somatostatin release) or peripheral (ie metabolic: insulin, free fatty acids, glucose) factors. A central point of the debate about GH insufficiency in obesity is if it represents a simple adaptive phenomenon or reflects a true impairment of the axis activity. Evaluation of IGF-I levels and generation in obesity was the mean used to address this question: a bulk of evidence on IGF-I balance in human obesity has been provided, but the matter is still uncertain and unsolved.
The GH response to provocative stimuli in obese is often as low as in panhypopituitaric patients with severe GHD; however, IGF-I levels are normal or slightly reduced. In 53 patients with simple obesity (11 M and 42 F, age: 40.3+/-1.6 yr, BMI: 39.1+/-1.0 Kg/m2), we evaluated the GH response to GHRH (1 microg/kg iv)+arginine (ARG, 0.5 g/kg iv), and total IGF-I levels. The mean (+/-SE) GH peak after GHRH+ARG was markedly lower (74% reduction, p<0.0001) in obese (16.8+/-2.0 microg/l) than in normal subjects (62.7+/-4.3 microg/l). IGF-I levels in obese patients (134.0+/-7.6 microg/l) were lower (33% reduction, p<0.001) than in normal subjects (200.8+/-5.7 microg/l). Taking into account the 3rd centile limit of normal response, the GH response to GHRH+ARG was reduced in 62.3% (33/53) of the obese patients, and 21.2% (7/33) of them had low IGF-I levels. Assuming the 1st centile limit, it was reduced in 33.9% (18/53) obese subjects, and 22% (4/18) of them had low IGF-I levels. Considering 3.0 microg/L as arbitrary cut-off, the GH response was reduced in 5.7% (3/53) of the obese patients, and still one of them had low IGF-I levels. Our findings: a) confirm that the secretory capacity of somatotroph cells is often deeply impaired in obesity; b) demonstrate that IGF-I assay generally rules out severe impairment of GH/IGF-I axis in obese patients with marked reduction of the GH secretion; c) indicate that the percentage of obese patients with concomitant reduction of GH secretion and IGF-I levels is not negligible. Thus, IGF-I assay should be routinely performed in obese patients; those presenting with low IGF-I levels should undergo further evaluation of their hypothalamo-pituitary function and morphology, particularly in the presence of empty sella.
Abdominal obesity is connoted by hyperinsulinism and insulin insensitivity, a trend toward glucose intolerance, hypoactivity of GH/IGF-I axis and alterations of hypothalamo-pituitary-adrenal (HPA) axis. It has been hypothesized that treatment with metformin (MET) and dexfenfluramine (DEX) could counteract those endocrine-metabolic alterations. Thus, we studied the effects of 3-month treatment with MET or DEX on anthropometric (BMI, WHR, FM and FFM), metabolic (basal and OGTT-induced glucose) and hormonal variables (IGF-I, DHEA-S, androstendione, testosterone, fT3, fT4, TSH, basal and OGTT-induced insulin) as well as on blood pressure in 28 normotensive patients with abdominal obesity (OB, 3 M, 25 F; 47.5+/-1.5 yr [mean+/-SE], BMI 35.4+/-1.1 kg/m2, WHR 0.98+/-0.04 and 0.86+/-0.07, in M and F, respectively). All patients were on balanced hypocaloric diet (1400 Kcal/day). Patients were randomly assigned to treatment with MET (no.=10, 500 mg twice daily po) or DEX (no.=10, 15 mg thrice daily po) or placebo (no.=8). Before treatment all groups had similar anthropometric, metabolic and hormonal values. After 3-month treatment with MET, DEX or placebo, weight, BMI and WHR reductions were similar in all groups (p<0.05 vs baseline in either group). In each group FFM/FM ratio showed non significant trend toward increase. No significant variations in metabolic and endocrine variables were recorded in each group after 1 and 3-month treatment. However, glucose tolerance, OGTT-induced insulin response, glucose/insulin ratio showed a similar trend toward improvement in all groups, while IGF-I, 24 h urinary cortisol, DHEA-S, androstendione, testosterone, thyroid hormone and TSH levels did not show any variation. Significant (p<0.02) and similar reductions of DBP, but not of SBP, levels were found in all groups. In conclusion, our findings demonstrate that, at least after 3-month treatment, metformin and dexfenfluramine do not modify the effects of diet on anthropometric, metabolic and hormonal parameters as well as on blood pressure in patients with abdominal obesity.
OBJECTIVE: To compare insulin-like growth factor-I (IGF-I) concentrations in obese and normal subjects, and evaluate the possible relationships between IGF-I concentrations and demographic, anthropometric, metabolic and hormonal variables in obese patients. SUBJECTS AND METHODS: 286 obese outpatients (OB, 234 female and 52 male; age 18-71 y, body mass index (BMI) > 27 kg/m2) were recruited. MEASUREMENTS: BMI, waist-to-hip ratio (WHR), serum basal and oral glucose tolerance test (OGTT)-stimulated glucose and insulin concentrations, IGF-I, basal growth hormone (GH), prolactin (PRL), androgens, thyrotropin (TSH), free triiodothyronine (fT3), free thyroxine (fT4), free fatty acids (FFA), triglycerides, total and high density lipoprotein (HDL)-cholesterol, 24h-urinary cortisol levels and blood pressure (BP) values were measured. IGF-I concentrations were also evaluated in a large population of 326 age-matched controls (controls, 228 women, 98 men; age 20-86 y, BMI < 25 kg/m2). RESULTS: IGF-I concentrations were lower in OB than in controls (age-adjusted mean: 21.6 vs 23.6 nmol/L, P < 0.03). However, individual IGF-I concentrations in OB were within the age-adjusted normal range. In both groups, IGF-I concentrations were gender-independent, and showed a simple negative correlation with age (r = -0.47). In OB, univariate analysis also shows that IGF-I concentrations were negatively correlated with BMI (r = -0.33), but not WHR, with both basal (r = -0.16) and OGTT-stimulated glucose levels (r = -0.17), as well as FFA levels (r = -0.19), and with both diastolic and systolic BP (both r = -0.17). In OB women, IGF-I concentrations positively correlated with PRL (r = 0.31), testosterone (r = 0.30), androstenedione (r = 0.30), and dehydroepiandrosterone-sulfate (DHEAS) concentrations (r = 0.41). No correlation was found with other variables. The multiple regression analysis showed that IGF-I concentrations were inversely and independently related to age and BMI only. CONCLUSIONS: In obesity, IGF-I concentrations are slightly reduced, but generally within the age-adjusted normal range. IGF-I concentrations in obesity show independent and negative relationships with age and BMI, but are not associated with fat distribution, insulin secretion, glucose tolerance, BP or risk indices for cardiovascular disease (CVD).
OBJECTIVE: The aim of the present study was to measure dehydroepiandrosterone-sulphate (DHEA-S) levels in obesity and assess the relationships between DHEA-S and anthropometric, metabolic and hormonal variables. SUBJECTS AND METHODS: We evaluated the serum DHEA-S levels in 217 obese but otherwise normal female subjects (age (mean +/- SEM): 39.4 +/- 0.9, range 18-67 years, body mass index (BMI) = 36.1 +/- 0.4, range 27.1-57.1 kg/m2). RESULTS: DHEA-S levels showed an age-dependent fall similar to that observed in normal women (n = 156, age 46.2 +/- 1.2, range 22-69 years, BMI < 25 kg/m2). Adjusting for age, obese women had mean DHEA-S levels higher than the control group (P < 0.02). In obese patients, DHEA-S levels were directly associated with serum testosterone, androstendione, IGF-I, fT3 levels and 24 h-urinary cortisol. On the other hand, DHEA-S levels were negatively associated with age, total cholesterol, triglycerides levels and systolic blood pressure. No correlation was found with BMI, waist:hip ratio, basal and post-OGTT insulin and glucose, free fatty acids, GH, PRL, fT4, TSH, SHBG levels or diastolic blood pressure. Multiple regression analysis indicated that in obese women, DHEA-S levels were associated negatively to age and positively to testosterone, androstendione and IGF-I levels and daily urinary cortisol. In a subgroup of 20 obese women, DHEA-S levels significantly (P < 0.001) fell after OGTT without any correlation with the insulin response. CONCLUSIONS: The present results show that dehydroepiandrosterone-sulphate levels are not reduced in obesity, being slightly increased, particularly in young adulthood. Dehydroepiandrosterone-sulphate levels are positively and independently associated with androgen, 24-h urinary cortisol and IGF-I levels but do not seem associated with insulin levels or cardiovascular risk indices.
The growth hormone/insulin-like growth factor-I (GH/IGF-I) axis was studied in 15 azoospermic patients and in 10 control men. Eight patients were affected by hypergonadotrophic hypogonadism and 7 by hypogonadotrophic hypogonadism. All were studied before and during replacement therapy with testosterone and gonadotrophin, respectively, using the alpha 2 adrenergic agonist, clonidine (clonidine test). The data demonstrate no differences in basal levels for IGF-I and for the GH response to clonidine in azoospermic patients, affected by primary and secondary hypogonadism, before and during replacement therapy when compared with control fertile men. In contrast to some studies which describe a reduced GH response in azoospermia and oligozoospermia, we conclude that basal serum levels of IGF-I and the GH response to clonidine are not impaired in azoospermic patients affected by primary hypogonadism before and after the restoration of normal androgenization, and in azoospermic patients affected by secondary hypogonadism, both before and after restoration of spermatogenesis.
BACKGROUND: It is widely accepted that IGF-I synthesis and release depend on GH secretion as well as on the nutritional status and vary with age. Based on these premises, after the definition of normal IGF-I levels during lifespan, in a large population of normal subjects of both sexes, our aim was to verify IGF-I levels in large groups of adult patients with GH deficiency or obesity, a condition in which a reduced somatotrope secretion is well known. METHODS: To this goal, IGF-I levels were assayed after acid-ethanol extraction, in 326 normal subjects (NS, 98 men and 228 women, age 20-80 yrs, BMI 17.9-26.1 kg/m2), 54 patients with GH deficiency (GHD, 24 men and 30 women, age 20-80 yrs, BMI 18.2-27.1 kg/m2), and 195 patients with obesity (OB, 33 men and 162 women, age 17-71 yrs, BMI 27.7-64.9 kg/m2). In NS, IGF-I levels were similar in both sexes and showed a progressive decrease with age. No correlation was present between IGF-I and BMI in NS. Median IGF-I levels and the 3rd centile in NS when considered per decade were: III) 230 and 108.6; IV) 220 and 129.8; V) 150.5 and 72.4; VI) 163.0 and 62.4; VII) 110 and 41.6; VIII) 82 and 24.7 micrograms/l. In GHD, IGF-I levels were independent on sex and did not show reduction during lifespan. Mean IGF-I levels in GHD were lower than that in NS (64.5 +/- 5.9 vs 171.3 +/- 4.8 micrograms/l, p < 0.01) and did not correlate with age or BMI. Analyzing individual IGF-I levels, in GHD, in the III and IV decade 21/24 patients had IGF-I levels lower than 3rd centile while, up to the VIII decade, only 10/30 had IGF-I levels below normal limits. In OB, IGF-I levels were independent on sex but, like in NS, showed a progressive decrease with age and were independently, negatively correlated with BMI but not with WHR. Analyzing individual IGF-I levels, in OB, IGF-I levels were below 3rd centile in 10/77 patients in the III and IV decade and in only 8/108 patients up to the VIII decade. Mean IGF-I levels in the whole OB population (179.6 +/- 5.9 micrograms/l) were higher (p < 0.01) than those in GHD (64.5 +/- 5.9 micrograms/l) while only in the IV decade IGF-I levels in OB group were lower (p < 0.02) than those in NS (184.7 +/- 12.6 micrograms/l vs 224.0 +/- 9.2 micrograms/l). CONCLUSIONS: In conclusion, present data confirm that IGF-I levels depends on GH secretion as well as on nutritional status, being negatively and independently correlated with age and BMI. IGF-I assay is not a reliable test for the diagnosis of GH deficiency in adulthood though it gives good discrimination between GHD and normal subjects up to 40 yrs of age. In spite of low GH secretion, IGF-I levels are only slightly reduced in obesity, probably as consequence of hyperinsulinism.
It is widely accepted that abdominal obesity presents with exaggerated insulin secretion, insulin resistance and a trend toward glucose intolerance. Hypertension is frequently associated to abdominal obesity, and hyperinsulinism could play a role in its pathogenesis. Some studies reported that Ca-antagonists positively influence insulin sensitivity and glucose tolerance in obese patients with normal or elevated blood pressure. However, other studies reported worsening of metabolic balance during treatment with Ca-antagonists in hypertensive non-insulin-dependent diabetes mellitus (NIDDM) patients and in normal subjects. We studied 19 patients with abdominal obesity, mild hypertension and insulin resistance on balanced, mild hypocaloric diet (1400 Kcal), to verify the effects of the Ca-antagonist nifedipine on both basal and oral glucose tolerance test (OGTT)-induced glucose and insulin levels as well as on IGF-I basal and DHEA-S levels and fat mass (FM). To achieve this goal, 10 hypertensive obese subjects (HOB-NIFE, 3 males, 7 females, mean age +/- SD 44.6 +/- 1.7 yr; body mass index (BMI) 37.1 +/- 2.5 Kg/m2, WHR 0.95 +/- 0.02) received 3-month treatment with nifedipine (Adalat Crono 30 Bayer, 1 tab daily) while other 9 hypertensive obese (HOB, 3 males, 6 females, 42 +/- 2.4 yr, BMI 35.8 +/- 1.8 Kg/m2, WHR 0.91 +/- 0.03) were studied during diet only. The same parameters were studied also in 8 normotensive obese patients (OB: 3 males, 5 females, 48.1 +/- 2.1 yr, BMI 35.8 +/- 2.4 Kg/m2, WHR 0.90 +/- 0.03) on the same balanced hypocaloric diet. Basal systolic (SBP) and diastolic (DBP) blood pressure levels in HOB-NIFE and HOB were similar. At baseline, all groups had similar basal and OGTT-induced glucose, insulin and glucose insulin ratio (GIR) levels as well as IGF-I and DHEA-S levels. After 3 months BMI fell to the same extent in all groups (p < 0.05 vs baseline) while WHR and FFM/FM ratio did not change. SBP and DBP decreased HOB-NIFE (p < 0.02) but also during diet alone in both HOB and OB, though to a lesser extent (p < 0.05). Both basal and OGTT-stimulated glucose and insulin levels as well as IGF-I and DHEA-S levels were not modified in HOB-NIFE as well as in HOB and OB. In conclusion, our data indicate that nifedipine treatment does not modify glucose tolerance as well as insulin secretion and sensitivity, IGF-I and DHEA-S levels in hypertensive abdominal obese patients. Thus, nifedipine treatment has no detrimental effects on endocrine-metabolic balance in hypertensive obese patients.
BACKGROUND: Studies from several countries have shown a decline, in the last few decades, of the number of admissions with a diagnosis of schizophrenia. This could be due to a fall in the incidence of schizophrenia, but it also could be due to confounding factors. The hypothesis tested in the study is that the incidence of schizophrenia is actually falling because of a decrease in the presence of a seasonal aetiological agent. METHODS: The hypothesis was tested by analysing the dates of birth of the patients discharged with a diagnosis of schizophrenia from NHS hospitals in England and Wales and would be confirmed by an appropriate change in the seasonality of the births over time. RESULTS: Evidence of seasonality has been observed in the schizophrenic births, but with no significant change over time. CONCLUSIONS: The fall in first admissions with a diagnosis of schizophrenia does not seem to be due to a change in the prevalence of a seasonal aetiological factor. Therefore, either there has been a reduction in incidence due to a change in a non-seasonal agent, or the incidence of schizophrenia is not changing and the fall in first admissions is due to confounding factors.
OBJECTIVES: A recent British epidemiological study, having found that the seasonality of birth in a large epileptic sample was significantly different from that of the general population, has pointed to neurodevelopmental disruption as the likely mechanism to cause at least part of the epilepsies of unknown aetiology. The aim of this study is to replicate the British study using a large Danish sample. MATERIAL AND METHODS: The population studied is composed by all the 50,886 patients discharged from Danish Hospitals, with a diagnosis of epilepsy, in the period from 1977 to 1993. The seasonal pattern of birth in this sample has been compared, using regression methods, with all the live births in Denmark. RESULTS: The results were strikingly similar to the British study, with a deficit of epileptic births in September and an excess during the winter months. CONCLUSION: This study seems to confirm the seasonal presence in the environment of an aetiological factor(s) for epilepsy which acts in the perinatal period disrupting the neurodevelopment.
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BACKGROUND: Left ventricular hypertrophy (LVH) appears to be poorly correlated with clinical measurements of blood pressure: a better correlation may be observed with data from 24 h ambulatory blood pressure monitoring (ABPM). The aim of this study was to compare the results of non-invasive ABPM in a population of patients with essential hypertension who had never been treated, subdividing them based on the presence or absence of LVH in the transthoracic echocardiogram (LVMI, left ventricular mass index > 135 g/m2 in males and > 110 g/m2 in females). METHODS: Eighty hypertensive patients with mild or moderate hypertension underwent routine blood tests, a 24 h ABPM and a transthoracic echocardiogram. Based on the ABPMs, we analyzed average 24 h systolic and diastolic blood pressure (BP), average daytime (6 a.m.-10 p.m.) and nighttime (10 p.m.-6 a.m.) systolic and diastolic BP, average morning (6-12 a.m.) BP and the number of dipper or non-dipper patients. The echocardiographic study included the calculation of left ventricular mass using Devereux's formula according to the Penn convention, analysis of the patterns of left ventricular geometry and a study of left ventricular diastolic function. RESULTS: Thirty-five (43.7%) patients had LVH at the echocardiographic study. In 52 subjects, the clinical history showed at least one BP measurement > 140/90 mmHg in the year prior to our observation. The average age was 48 +/- 11, without any significant correlation to LVMI (r = 0.13). The magnitude of the S-wave in V1 and the R-wave in V5 and the magnitude of the tallest R-wave and S-wave in the electrocardiogram analysis had a significant correlation with LVMI (r = 0.23 and r = 0.26, respectively). The echocardiogram revealed a normal left ventricular geometry in 43.8% of hypertensive patients, concentric remodeling in 13.8%, concentric hypertrophy in 16.2% and eccentric hypertrophy in 26.2%. The isovolumic relaxation time (IVRT) and A-wave were significantly correlated with LVMI (r = 0.49 and r = 0.33, respectively). LVMI had a significant correlation with systolic BP at ABPM (24 h systolic BP r = 0.34; daytime systolic BP r = 0.35; nighttime systolic BP r = 0.28; 6-12 systolic BP r = 0.29) but not with diastolic BP. Dipper patients represented 76.3% of the population, without any difference in LVMI between dippers and non-dippers (p = 0.09). Dipper patients had a higher prevalence of normal left ventricles as compared with non-dippers (p < 0.0001). White-coat hypertension was observed in 7.5% of hypertensive patients. CONCLUSIONS: The prevalence of LVH in our population was high (43.7%) and some parameters related to diastolic left ventricular function (IVRT, A-wave) were correlated with LVMI. Systolic ambulatory BP was significantly correlated with LVMI, while diastolic BP was not.