Mónica Jorge

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Falls in gastric intramucosal pH (pHi) are associated with morbidity and mortality in patients admitted to intensive-care units (ICU). We tested the hypothesis that ICU outcome can be improved by therapy guided by changes in pHi and aimed at improving systemic oxygen availability. We studied 260 patients admitted to ICUs with APACHE II scores of 15-25.(More)
BACKGROUND Subgroup analyses of clinical studies suggest that bevacizumab plus XELOX is effective and tolerable in elderly patients with metastatic colorectal cancer (mCRC). The prospective BECOX study examined the efficacy and safety of bevacizumab plus XELOX, followed by bevacizumab plus capecitabine in elderly patients with mCRC. METHODS Patients aged(More)
Colorectal cancer (CRC) is the fourth most commonly diagnosed cancer worldwide. Recently, it has been found that about 40 % of patients with CRC have mutations in the K-RAS gene. Several clinical trials have showed that patients with metastatic colorectal cancer (mCRC) who present tumour-promoting mutations in signalling pathways involving the epidermal(More)
BACKGROUND Combination of bevacizumab and FOLFIRI has currently become one of the standard therapeutic regimens. However, published information is still limited. The objective of the present retrospective observational study is to analyse the response and toxicity of first-line treatment with FOLFIRI+bevacizumab in patients with metastatic colorectal cancer(More)
BACKGROUND Studies suggest a relationship between hypertension and outcome in bevacizumab-treated patients with metastatic colorectal cancer (mCRC). We performed a retrospective analysis of two phase II studies (BECA and BECOX) to determine if hypertension and proteinuria predict outcome in elderly patients with mCRC treated with bevacizumab. PATIENTS AND(More)
A conic linear system is a system of the form P: find x that solves b-Ax E Cy, E Cx, where Cx and Cy are closed convex cones, and the data for the system is d = (A, b). This system is"well-posed" to the extent that (small) changes in the data (A, b) do not alter the status of the system (the system remains solvable or not). Intuitively, the more well-posed(More)
A convex optimization problem in conic linear form is an optimization problem of the form CP(d) : maximize c T x s.t. where C X and C Y are closed convex cones in n-and m-dimensional spaces X and Y , respectively, and the data for the system is d = (A; b; c). We show that there is a version of the ellipsoid algorithm that can be applied to nd an-optimal(More)
A conic linear system is a system of the form P(d) : nd x that solves b ? Ax 2 C Y ; x 2 C X ; where C X and C Y are closed convex cones, and the data for the system is d = (A; b). This system is\well-posed" to the extent that (small) changes in the data (A; b) do not alter the status of the system (the system remains solvable or not). Renegar deened the(More)
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