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1.
J Hum Hypertens ; 28(5): 328-32, 2014 May.
Artigo em Inglês | MEDLINE | ID: mdl-24152820

RESUMO

Thalassemia minor (Tm), the ß-thalassemia carrier state, is followed by favorable lipidemic profile and seems to protect against myocardial infarction mainly in men. However, the cardiovascular risk factor (CRF) and metabolic profile of these subjects has not been thoroughly addressed, although it is not known whether gender differences are involved. We evaluated CRFs, metabolic parameters and risk-prediction equations along with renal function and selected echocardiographic indices in 23,680 consecutive subjects, that is, 11,192 women and 12,488 men, with newly diagnosed hypertension according to the presence or absence of Tm. Of 23,680 patients, 548 (2.3%) had Tm. Compared with patients without Tm, Tm cases had similar gender distribution, age, body mass index and blood pressure. Besides having a better lipidemic profile, Tm patients were less frequently smokers (25% vs. 32%, P<0.001), had a lower prevalence of metabolic syndrome (26% vs. 39%, P<0.001) and lower HeartSCORE and INTERHEART scores (P<0.001). Tm patients also had lower levels of fibrinogen and plasminogen activator inhibitor-1 (P<0.001), lower serum creatinine and higher estimated glomerular filtration rate (P<0.001), lower prevalence of left ventricular hypertrophy (35% vs. 48%, P<0.001) and higher total and mid-wall fractional shortening (P=0.03 and <0.001, respectively). Most of these differences were consistent in both genders, whereas the HeartSCORE and the echo indices were significantly better in Tm only in women. Among patients with newly diagnosed hypertension, those with Tm have a better overall CRF and metabolic profile, beyond the well-known differences in serum lipids. Compared with men, women seem to be at least equally protected.


Assuntos
Hipertensão , Síndrome Metabólica , Caracteres Sexuais , Talassemia beta , Adulto , Idoso , Monitorização Ambulatorial da Pressão Arterial , Feminino , Predisposição Genética para Doença/epidemiologia , Predisposição Genética para Doença/genética , Heterozigoto , Humanos , Hipertensão/epidemiologia , Hipertensão/genética , Hipertensão/metabolismo , Lipídeos/sangue , Masculino , Síndrome Metabólica/epidemiologia , Síndrome Metabólica/genética , Síndrome Metabólica/metabolismo , Pessoa de Meia-Idade , Fatores de Risco , Distribuição por Sexo , Talassemia beta/epidemiologia , Talassemia beta/genética , Talassemia beta/metabolismo
2.
J Hum Hypertens ; 26(7): 443-51, 2012 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-21633378

RESUMO

The aim of this study was to determine cardiovascular (CV) risk factors (RFs) and target organ damage clustering in 21280 Greek hypertensives stratified by gender and age. Glycemic and lipid profile were determined, left ventricular mass index, estimated gromerular filtration rate (eGFR), 10-years CV risk according to Framingham risk score (FRS) and HeartScore (HS) were calculated. Only 10.2% of patients had no concomitant RFs, 53.1% had one (48.8% dyslipidemia, 3.4% smoking, 0.9% diabetes), 32.9% had two (26% dyslipidemia and smoking, 6.6% dyslipidemia and diabetes, 0.3% smoking and diabetes) and 3.7% had all four traditional RFs. Obesity was present in 30%, metabolic syndrome in 38%, low eGFR in 24% and left ventricular hypertrophy in 49%. Mean FRS risk was 35% for males, 24.1% for females whereas in high risk (>20%) were 68.7 and 50.7%, respectively (P<0.0001). Mean HS risk was 8.4% for males, 6.2% for females whereas in high risk (>5%) were 48.6 and 36.2%, respectively (P<0.0001). Age was correlated to pulse pressure, eGFR, left ventricular mass index and CV risk (P<0.0001). Ageing increased the risk difference between genders for total (P=0.001) but not for fatal events (P=nonsignificant). In conclusion, as RFs cluster in hypertensives, CV risk calculation should guide treatment decisions.


Assuntos
Doenças Cardiovasculares/etiologia , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Feminino , Taxa de Filtração Glomerular , Grécia , Humanos , Masculino , Pessoa de Meia-Idade , Prevalência , Estudos Retrospectivos , Fatores de Risco , Fatores Sexuais , Fumar/efeitos adversos
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