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1.
J Stroke Cerebrovasc Dis ; 28(12): 104431, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31624036

RESUMO

BACKGROUND AND AIM: Romanian national level stroke mortality data is relatively scarce. The current study investigated stroke mortality rates and trends in Romania. METHODS: All individual deaths registered in Romania during 1994-2017 were analyzed using an anonymized database, based on death certificates. Stroke crude mortality rates (CMR) and age-standardized mortality rates (ASMR) were calculated and expressed per 100,000 persons-year. RESULTS: Between 1994 and 2017, 6,281,873 persons died in Romania, stroke being registered as the underlying cause of death in 959,319 cases. The overall stroke CMR was 188.2 (199.3 for women and 176.5 for men). The CMR for hemorrhagic stroke (HEMS) was 32.4 and for ischemic stroke (ISCS) 10.9. There was a significant decrease in stroke ASMR from 344.4 (95% confidence interval [CI] 343.4-345.4) in 1994 to 192.1 (95% CI 191.5-192.7) in 2017, with an annual percent change (APC) of 2.53% per year (95% CI 2.50-2.55, P < .001). Although compared with men, women had higher CMRs, when those rates were age-standardized men had higher ASMR as compared with women. The decline in HEMS ASMR had an APC of 4.65% per year (95% CI 4.59-4.70, P < .001). ISCS ASMR showed an initial increase in ASMR during 1994-2005, with APC 6.39% per year (95% CI 6.09-6.70, P < .001), followed by a significant decrease until 2017, with APC 2.83% per year (95% CI 2.59-3.07, P < .001). CONCLUSION: There was a significant reduction in stroke ASMR during 1994-2017. The decline was slow until 2002 and became steeper after that, with significant differences in gender analysis.


Assuntos
Acidente Vascular Cerebral/mortalidade , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Causas de Morte/tendências , Feminino , Humanos , Expectativa de Vida , Masculino , Pessoa de Meia-Idade , Prognóstico , Sistema de Registros , Medição de Risco , Fatores de Risco , Romênia/epidemiologia , Distribuição por Sexo , Acidente Vascular Cerebral/diagnóstico , Fatores de Tempo
2.
Angiology ; 67(3): 259-65, 2016 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-26085193

RESUMO

We assessed the relationship between insulin resistance, serum insulin-like growth factor 1 (IGF-1) levels, and common carotid intima-media thickness (CC-IMT) in morbidly obese young patients. A total of 249 patients (aged 37.9 ± 9.8 years, body mass index [BMI] 45.6 ± 8.3 kg/m(2)) were evaluated (metabolic tests, serum IGF-1 measurements, homeostasis model assessment-insulin resistance [HOMA-IR], and ultrasonographically assessed CC-IMT) in a research program for bariatric surgery candidates. After adjusting for age, gender, BMI, systolic blood pressure, uric acid, antihypertensive and lipid-lowering treatment, metabolic syndrome, and metabolic class, both HOMA-IR and IGF-1 z-score were significantly associated with CC-IMT. These results were confirmed in logistic regression analysis, in which age (ß = 1.11, P = .001), gender (ß = 3.19, P = .001), HOMA-IR (ß = 1.221, P = .005), and IGF-1 z-score (ß = 1.734, P = .009) were the only independent determinants of abnormal CC-IMT, presumably modulating the effect of the other risk factors included in the regression. Area under the receiver-operating characteristic curve for the model was 0.841 (confidence interval: 0.776-0.907; P < .001). In conclusion, in morbidly obese young adults, insulin resistance and IGF-1 z-score are significantly associated with CC-IMT, independent of other major cardiovascular risk factors.


Assuntos
Doenças das Artérias Carótidas/etiologia , Artéria Carótida Primitiva/diagnóstico por imagem , Resistência à Insulina , Fator de Crescimento Insulin-Like I/análise , Obesidade Mórbida/complicações , Adulto , Fatores Etários , Área Sob a Curva , Biomarcadores/sangue , Glicemia/análise , Índice de Massa Corporal , Doenças das Artérias Carótidas/sangue , Doenças das Artérias Carótidas/diagnóstico por imagem , Espessura Intima-Media Carotídea , Distribuição de Qui-Quadrado , Feminino , Humanos , Insulina/sangue , Modelos Lineares , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Obesidade Mórbida/sangue , Obesidade Mórbida/diagnóstico , Valor Preditivo dos Testes , Curva ROC , Medição de Risco , Fatores de Risco
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