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1.
PLoS One ; 18(11): e0291804, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37992065

RESUMO

INTRODUCTION: The reciprocation between systemic inflammatory markers (SIMs), dyslipidemia, and hot flashes (HFs) can play a part in the pathogenesis of endothelial dysfunction through menopause. This study intended to determine the association between some SIMs, lipids, and HFs in healthy menopausal women. MATERIALS AND METHODS: We designed a cross-sectional study in which 160 healthy menopausal women aged 40-60 were enrolled. Concerning their HFs status, they were stratified into two groups by consecutive sampling: without HFs (n = 40) and with HFs (n = 120). In addition to clinical variables and HFs experience, we measured the fasting serum levels of SIMs and lipid profiles (LPs), including Interleukin-17 (IL-17), high- sensitivity C-Reactive Protein (hs-CRP), Total Cholesterol (TC), Triglycerides (TG), Low-Density Lipoprotein Cholesterol (LDL-C), and High-Density Lipoprotein Cholesterol (HDL-C) in each group. Then, we calculated TC/HDL-C concerning the related variables and determined Neutrophil-to-Lymphocyte Ratio (NLR), and Lymphocyte-to-Monocyte Ratio (LMR), according to Complete Blood Count (CBC) quantitative parameters in each group. Furthermore, we used logistic regression analysis to assess the association between SIMs, LPs, and HFs. SETTINGS: We performed this study in a governmental teaching hospital, Guilan/Rasht, Iran, from April to September 2021. RESULTS: The two groups of menopausal women without and with HFs were not significantly different regarding the median of IL-17, hs-CRP, NLR, LMR, TG, HDL-C, and TC/HDL-C, and the mean of TC and LDL-C. Based on multiple logistic regression, TG levels appeared to be associated with the incidence of HFs (B = 0.004, P = 0.040, Odds Ratio:1.004, 95%CI:1.000-1.009). NLR seemed to have an increasing impact on the HFs severity, according to ordinal logistic regression (B = 0.779, P = 0.005, Odds Ratio = 2.180, 95%CI:1.270-3.744). Furthermore, hs-CRP negatively correlated with TG (r = -0.189, P = 0.039) and TC/HDL-C (r = -0.268, P = 0.003) in menopausal women with HFs. CONCLUSION: This study indicated an association between SIMs, lipids, and HFs. These connections may suggest HFs as links between SIMs/LPs alterations and their outcomes.


Assuntos
Proteína C-Reativa , Interleucina-17 , Humanos , Feminino , Proteína C-Reativa/metabolismo , Estudos Transversais , LDL-Colesterol , Fogachos , Neutrófilos/metabolismo , Lipopolissacarídeos , Monócitos/metabolismo , Menopausa , Triglicerídeos , HDL-Colesterol , Linfócitos/metabolismo
2.
Women Health ; 52(4): 391-402, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-22591234

RESUMO

The Gail model has been widely used to quantify an individual woman's risk of developing breast cancer by using important clinical parameters, usually for clinical counselling purposes or to determine eligibility for mammography and genetic tests. The aim of the present study was to estimate the five-year and lifetime breast cancer risk among women in Rasht, Iran. In this cross-sectional study, 314 women were evaluated at Alzahra Women Hospital in 2007. Participants were ≥35 years of age without a history of breast cancer. Risk estimation was performed using the computerized Gail model. A five-year risk >1.66% was considered high-risk; 5.1% of women were high-risk. The mean five-year breast cancer risk was 0.8% (SD±1). Mean breast cancer risk up to the age of 90 years (lifetime risk) was 9.0% (SD±3.9%); 16.2% of the participants had a five-year risk higher than the average woman of the same age, and 18.2% had the same risk. Also for the lifetime risk, 11.1% of the women had higher risk and 1.6% had the same risk as the average woman. Routine use of the Gail model is recommended for identifying women at high average risk for increasing the survival of women from breast cancer.


Assuntos
Neoplasias da Mama/prevenção & controle , Modelos Estatísticos , Medição de Risco/métodos , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Aconselhamento , Estudos Transversais , Feminino , Predisposição Genética para Doença , Humanos , Entrevistas como Assunto , Irã (Geográfico) , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Fatores de Risco , Inquéritos e Questionários
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