Conventional treatment of obstetric antiphospholipid syndrome fails in approximately 20-30% of pregnant women without any clearly identified risk factor. It is important to identify risk factors that are associated with these treatment failures. This study aimed to assess the impact of risk factors on pregnancy outcomes in women with obstetric antiphospholipid syndrome treated with conventional treatment. We carefully retrospectively selected 106 pregnancies in women with obstetric antiphospholipid syndrome treated with heparin + aspirin. Pregnancy outcomes were evaluated according to the following associated risk factors: triple positivity profile, double positivity profile, single positivity profile, history of thrombosis, autoimmune disease, more than four pregnancy losses, and high titers of anticardiolipin antibodies and/or anti-βeta-2-glycoprotein-I (aβ2GPI) antibodies. To establish the association between pregnancy outcomes and risk factors, a single binary logistic regressions analysis was performed. Risk factors associated with pregnancy loss with conventional treatment were: the presence of triple positivity (OR = 5.0, CI = 1.4-16.9, p = 0.01), high titers of aβ2GPI (OR = 4.4, CI = 1.2-16.1, p = 0.023) and a history of more than four pregnancy losses (OR = 3.5, CI = 1.2-10.0, p = 0.018). The presence of triple positivity was an independent risk factor associated with gestational complications (OR = 4.1, CI = 1.2-13.9, p = 0.02). Our findings reinforce the idea that triple positivity is a categorical risk factor for poor response to conventional treatment.

Insulin resistance is associated with highly active antiretroviral therapy in HIV-infected patients, and the risk of developing insulin resistance is increased in hepatitis C virus (HCV)-infected patients. The aim of the present study was to determine whether hepatitis C virus infection constitutes an additional risk factor for insulin resistance or other prothrombotic conditions in HIV-HCV coinfected patients under highly active antiretroviral therapy. One hundred eighteen HIV-infected patients were studied: 50 who had no history of anti-HIV treatment and 68 who were receiving therapy with highly active antiretroviral treatment. The treatment-naive group consisted of 35 HCV-negative subjects and 15 HCV-positive ones. Within the treated group, 50 patients were HCV negative and 18 were HCV positive. For each patient, the lipid profile was determined and the following values measured: glucose, soluble P-selectin (as a marker of platelet activation), soluble thrombomodulin, von Willebrand factor and soluble vascular cell adhesion molecule-1 (as endothelial markers), and insulin resistance. No significant difference (p>0.05) for any variable was found among subjects with or without HCV coinfection in the treatment-naïve group. Among patients under highly active antiretroviral therapy, however, those with HCV coinfection showed higher values (p<0.05) for insulin resistance (homeostasis model assessment value: 2.65 vs. 1.79), glucose (93 vs. 86 mg/dl), endothelial markers (von Willebrand factor, 204 vs. 123%; soluble vascular cell adhesion molecule-1, 650 vs. 482 ng/ml), and platelet activation marker (soluble P-selectin, 78 vs. 51 ng/ml) in parallel with lower CD4+ cells counts (289 vs. 402 cells/mm3) and higher HIV-1 viral loads (305 vs. 50 copies/ml) compared to patients without HCV coinfection. Glucose, soluble P-selectin, and von Willebrand factor were independently related to HCV infection. The presence of HCV coinfection during HIV treatment was closely related to higher values of insulin resistance, to activated platelets, and to endothelial perturbation in parallel with lower CD4+ cell counts and higher HIV-1 viral loads compared to patients without HCV coinfection. On the basis of these results, it may be preferable to treat HCV infection prior to initiating treatment for HIV infection in HIV-HCV-coinfected patients.

Introduction: A patient's response to sepsis is influenced by their genetic background. Our objective was to use plasma markers, such as protein C (PC), D-dimer, Plasminogen Activator Inhibitor-1 (PAI-1) levels, and the PAI-1 rs1799889 4G/5G and Tumor Necrosis Factor-α rs1800629 G/A polymorphisms to improve classical intensive care unit (ICU) scores. Methodology: We studied 380 subjects, 166 with sepsis. We performed coagulation tests: plasma PAI-1 and PC levels were evaluated by chromogenic methods; and D-dimer was evaluated by immunoturbidimetric assay. Polymorphisms were performed using for polymerase chain reactions followed by digest with specific restriction enzyme. We acquired the APACHE and SOFA scores (time zero), sex, age, body mass index, associated co-morbidities, length of ICU stay (days), the severity of sepsis (sepsis, severe sepsis or septic shock), the HIV status and the ICU outcome (survival or death). Results: We found significant differences between patients who died (n=80) and those who survived (n=86) in terms of the ICU length of stay (6 vs. 10 days), septic shock (64 versus 24%), age (51 versus 38 years old), HIV+ condition (34 versus 16%), SOFA (7 versus 4), APACHE (19 versus 13), D-dimer (4.32 versus 2.88 g/ml), PC (46.0 versus 63.5 %) and PAI-1 (33.0 versus 16.5 UA/l). When we used a regression analysis with dichotomized variables, only the SOFA 4 , PAI-1 16 , HIV status and the PAI-1 4G allele proved to be predictors of death at time zero. Conclusions: In the future, ICU scores may be further improved by adding certain genomic or plasma data.