scholarly journals Insulin Resistance as a Risk Factor for Cutaneous Melanoma. A Case Control Study and Risk-Assessment Nomograms

2019 ◽  
Vol 10 ◽  
Author(s):  
Alessandro Scoppola ◽  
Lidia Strigari ◽  
Agnese Barnabei ◽  
Pierpaolo Petasecca ◽  
Federica De Galitiis ◽  
...  
ISRN Oncology ◽  
2011 ◽  
Vol 2011 ◽  
pp. 1-7
Author(s):  
G. Fabbrocini ◽  
C. Mazzella ◽  
F. Pastore ◽  
A. Monfrecola ◽  
M. C. Annunziata ◽  
...  

Background. The incidence of cutaneous melanoma is rapidly increasing in Europe. Active research is directed toward the identification of naevi as a risk factor. Objective. The aim of our case-control study was to observe different numbers of moles and different mole typology associations in order to evaluate clinical predictivity and to establish a new classification for some naevus variants. Methods. A case-control study was carried out, enrolling 64 cases affected by melanoma and 183 controls, between October 2009 and February 2011. Each patient was interviewed and subjected to clinical examination. The resulting data were analysed using the statistical elaboration program SPSS 16.0. Results. The association of target naevus with other variants increases the degree of risk (target + small brown Odds Ratio 5.25; confidence interval 1.8–15.4); (target + small brown + small black + large brown odds ratio 5.0; confidence interval 1.1–22.4). Therefore, other variants and/or other variant combinations do not significantly increase risk. Conclusion. People presenting two naevus variants in association with other naevus variants seem to run a major risk. The general nonuniformity of the whole naevus panorama should be carefully considered.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 973-973
Author(s):  
R. Gonzalez Mazario ◽  
J. J. Fragio-Gil ◽  
P. Martinez Calabuig ◽  
E. Grau García ◽  
M. De la Rubia Navarro ◽  
...  

Background:Cardiovascular disease (CV) is the most frequent cause of death in rheumatoid arthritis (RA) patients. It is well known that RA acts as an independent cardiovascular risk factor.Objectives:To assess the CV risk in RA patients using carotid ultrasonography (US) additionally to the traditional CV risk factors.Methods:A prospective transversal case control study was performed, including adult RA patients who fulfilled ACR/EULAR 2010 criteria and healthy controls matched according to CV risk factors. Population over 75 years old, patients with established CV disease and/or chronic kidney failure (from III stage) were excluded. The US evaluator was blinded to the case/control condition and evaluated the presence of plaques and the intima-media thickness. Statistical analysis was performed with R (3.6.1 version) and included a multivariate variance analysis (MANOVA) and a negative binomial regression adjusted by confounding factors (age, sex and CV risk factors).Results:A total of 200 cases and 111 healthy controls were included in the study. Demographical, clinical and US data are exposed in table 1. Not any difference was detected in terms of CV risk factors between the cases and controls. In both groups a relationship between age, BMI and high blood pressure was detected (p<0.001).Table 1.Table 2.RA basal characteristicsDisease duration (years)16,98 (11,38)Erosions (X-Ray of hands/feet)163 (81,5%)Seropositive (RF/anti-CCP)146 (73%)Extra-articular symptoms44 (22%)Intersticial difusse lung disease10 (5%)Rheumatoid nodules14 (7%)Prednisone use103 (51,5%)Median dose of Prednisone last year (mg)2,34 (2,84)sDMARDsMethotrexate104 (52%)Leflunomide29 (14,5%)Hydroxycloroquine9 (4,5%)bDMARDs89 (44,5%) TNFi41 (20,5%) Abatacept15 (7,5%) IL6i22 (11%) RTX11 (5,5%)JAKi26 (13%) Baricitinib11 (5,5%) Tofacitinib15 (7,5%)DAS 28-ESR3,1 (2,3, 3,9)SDAI7,85 (4,04, 13,41)HAQ0,88 (0,22, 1,5)RF (U/mL)51 (15, 164,25)Anti-CCP (U/mL)173 (22, 340)Patients showed higher intima-media (both right and left) thickness compared to controls (p<0.006). Moreover it was also related to the disease duration and DAS28 score (p<0.001). A higher plaque account was noted in cases(p<0.004) and it was also related to the disease duration (p<0.001).Conclusion:RA implies a higher CV risk. Traditional CV risk factors explains only partially the global risk. These findings support that RA acts as an independent cardiovascular risk factor.Disclosure of Interests:None declared


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bernard Kianu Phanzu ◽  
Aliocha Nkodila Natuhoyila ◽  
Eleuthère Kintoki Vita ◽  
Jean-René M’Buyamba Kabangu ◽  
Benjamin Longo-Mbenza

Abstract Background Conflicting information exists regarding the association between insulin resistance (IR) and left ventricular hypertrophy (LVH). We described the associations between obesity, fasting insulinemia, homeostasis model assessment of insulin resistance (HOMA-IR), and LVH in Black patients with essential hypertension. Methods A case–control study was conducted at the Centre Médical de Kinshasa (CMK), the Democratic Republic of the Congo, between January and December 2019. Cases and controls were hypertensive patients with and without LVH, respectively. The relationships between obesity indices, physical inactivity, glucose metabolism and lipid disorder parameters, and LVH were assessed using linear and logistic regression analyses in simple and univariate exploratory analyses, respectively. When differences were observed between LVH and independent variables, the effects of potential confounders were studied through the use of multiple linear regression and in conditional logistic regression in multivariate analyses. The coefficients of determination (R2), adjusted odds ratios (aORs), and their 95% confidence intervals (95% CIs) were calculated to determine associations between LVH and the independent variables. Results Eighty-eight LVH cases (52 men) were compared against 132 controls (81 men). Variation in left ventricular mass (LVM) could be predicted by the following variables: age (19%), duration of hypertension (31.3%), body mass index (BMI, 44.4%), waist circumference (WC, 42.5%), glycemia (20%), insulinemia (44.8%), and HOMA-IR (43.7%). Hypertension duration, BMI, insulinemia, and HOMA-IR explained 68.3% of LVM variability in the multiple linear regression analysis. In the logistic regression model, obesity increased the risk of LVH by threefold [aOR 2.8; 95% CI (1.06–7.4); p = 0.038], and IR increased the risk of LVH by eightfold [aOR 8.4; 95 (3.7–15.7); p < 0.001]. Conclusion Obesity and IR appear to be the primary predictors of LVH in Black sub-Saharan African hypertensive patients. The comprehensive management of cardiovascular risk factors should be emphasized, with particular attention paid to obesity and IR. A prospective population-based study of Black sub-Saharan individuals that includes the use of serial imaging remains essential to better understand subclinical LV deterioration over time and to confirm the role played by IR in Black sub-Saharan individuals with hypertension.


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