Publications by authors named "Scarpato N"

Artificial Intelligence is providing astonishing results, with medicine being one of its favourite playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this revolution. Among the most challenging targets of interest in medicine are cancer diagnosis and therapies but, to start this revolution, software tools need to be adapted to cover the new requirements.

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Machine learning (ML) is largely used to develop automatic predictors in migraine classification but automatic predictors for medication overuse (MO) in migraine are still in their infancy. Thus, to understand the benefits of ML in MO prediction, we explored an automated predictor to estimate MO risk in migraine. To achieve this objective, a study was designed to analyze the performance of a customized ML-based decision support system that combines support vector machines and Random Optimization (RO-MO).

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Machine learning (ML) has been recently introduced to develop prognostic classification models that can be used to predict outcomes in individual cancer patients. Here, we report the significance of an ML-based decision support system (DSS), combined with random optimization (RO), to extract prognostic information from routinely collected demographic, clinical and biochemical data of breast cancer (BC) patients. A DSS model was developed in a training set ( = 318), whose performance analysis in the testing set ( = 136) resulted in a C-index for progression-free survival of 0.

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Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictors, which could be useful to devise a web interface for VTE risk stratification in chemotherapy-treated cancer patients. This study was designed to validate a model incorporating the two best predictors and to compare their combined performance with that of the currently recommended Khorana score (KS). Age, sex, tumor site/stage, hematological attributes, blood lipids, glycemic indexes, liver and kidney function, BMI, performance status, and supportive and anticancer drugs of 608 cancer outpatients were all entered in the model, with numerical attributes analyzed as continuous values.

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Article Synopsis
  • Two studies were done to compare special treated platelets (Intercept and Mirasol) with regular platelets to see if they were safe and helpful for patients.
  • The main goal was to check if patients had serious bleeding, but the studies couldn’t include as many patients as planned because of money issues.
  • The results showed not much difference in bleeding risk between the treated and regular platelets, but treated patients needed more blood products overall. The studies didn’t show any serious problems or deaths directly caused by the treated platelets.
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Objective: To design a precision medicine approach aimed at exploiting significant patterns in data, in order to produce venous thromboembolism (VTE) risk predictors for cancer outpatients that might be of advantage over the currently recommended model (Khorana score).

Design: Multiple kernel learning (MKL) based on support vector machines and random optimization (RO) models were used to produce VTE risk predictors (referred to as machine learning [ML]-RO) yielding the best classification performance over a training (3-fold cross-validation) and testing set.

Results: Attributes of the patient data set ( n = 1179) were clustered into 9 groups according to clinical significance.

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Background: High serum cholesterol represents a risk factor for cardiovascular disease. This study aims to quantify total cholesterol in dried blood spot (DBS) by direct enzymatic method.

Methods: Three hundred seventeen blood samples with serum cholesterol level ranging from 81 to 337 mg/dl were collected.

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Background/aim: Mixed Cryoglobulinemia (MC) represents the most frequent extrahepatic manifestation of chronic Hepatitis C Virus (HCV) infection. Its pathogenic mechanisms involve HCV-induced chronic stimulation of B-lymphocytes. We aimed to investigate the relationship between serum levels of vitamin D (a regulator of immune response) and the presence of serum cryoglobulins in the setting of HCV infection.

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To review the diagnostic difficulties of a prolonged activated partial thromboplastin time (aPTT) when 2 inhibitors with opposite clinical presentations coexist, we searched MEDLINE from January 1970 to November 2013 using acquired, factor VIII (FVIII), factor IX, hemophilia A and B, inhibitor, lupus anticoagulant (LA), antiphospholipid, anticardiolipin, anti-β2-glycoprotein I, antibodies, syndrome, bleeding, and thrombosis. We identified 13 articles for a total of 15 cases of possible coexistence of FVIII inhibitor and LA. The presenting clinical manifestation was thrombosis in 6 cases and bleeding in 9 cases.

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Background/aim: A low platelet count is one of the most sensitive tests for cirrhosis detection in patients with hepatitis C virus (HCV) infection. We evaluated whether the human platelet antigen (HPA) genotype could predict platelet count in HCV-positive patients.

Materials And Methods: We genotyped the HPA 1, 2, 3, 5 and 15 polymorphisms in consecutive patients with HCV infection.

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Objective: Fetoneonatal alloimmune thrombocytopenia (FNAIT) is a relatively rare clinical syndrome characterized by marked thrombocytopenia shortly after birth. It occurs when fetal platelets are destroyed, after sensitization, by a transplacental passage of maternal antibodies directed against a fetal platelet alloantigen inherited from the father. This article reviews some pathophysiologic and clinical aspects of FNAIT.

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The 67-kDa laminin receptor (67LR) is a nonintegrin cell-surface receptor with high affinity for laminin, which plays a key role in tumor invasion and metastasis. We investigated the role of 67LR in granulocyte colony-stimulating factor (G-CSF)-induced mobilization of CD34+ hematopoietic stem cells (HSCs) from 35 healthy donors. G-CSF-mobilized HSCs, including CD34+/CD38- cells, showed increased 67LR expression as compared with unstimulated marrow HSCs; noteworthy, also, is the fact that the level of 67LR expression in G-CSF-mobilized HSCs correlated significantly with mobilization efficiency.

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Background And Objectives: Recombinant human granulocyte colony-stimulating factor (rhG-CSF) is widely used to mobilize peripheral blood stem cells (PBSC) for autologous or allogeneic transplants. Such treatment may cause spleen enlargement; exceptionally, spontaneous spleen rupture has been reported. We investigated changes in spleen size during stem cell mobilization.

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Familial hypercholesterolemia was the first genetic disorder recognized to cause myocardial infarction. Patients with homozygous familial hypercholesterolemia have rapidly progressive coronary atherosclerosis with angina pectoris, myocardial infarction, or sudden death at a young age. Selective apheresis on dextran sulfate cellulose columns reduces mortality and may induce regression of coronary lesions.

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It is well known that red blood cells incubated in low-density lipoprotein (LDL)-rich medium show shape abnormalities that revert to normal after reincubation in normal plasma. Patients with homozygous familial hypercholesterolemia (HFH) have an increased percentage of abnormally-shaped erythrocytes (mostly stomatocytes, knisocytes, and crenated cells) compared to normocholesterolemic controls: 7.73+/-0.

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Granulocyte transfusions from G-CSF stimulated donors were added to standard anti-infective treatment in preparation for and during allogeneic bone marrow transplantation in a young man affected by very severe acute aplastic anemia and invasive aspergillosis. Nine concentrates with a mean neutrophil content of 18.7 x 10(9)/L (2.

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Homozygous familial hypercholesterolemia (HFH) results from a mutation affecting both the structure and function of a cell surface receptor that removes low density lipoproteins (LDL) from plasma. The disorder is characterized by autosomal dominant inheritance, a lifelong elevation in the concentration of LDL-bound cholesterol in blood and by cholesterol deposits that form xanthomas and early coronary artery disease. HFH patients, as a result of the increased levels and prolonged residence time of LDL in plasma, have a strong tendency toward accumulation of LDL-cholesterol in the arterial wall causing premature atherosclerosis.

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Unlabelled: The great increase in hemapheresis units activity that occurred during the last years caused the need for a computer-aided management (1, 2). We present a project for a data base system able to manage therapeutical apheresis (3). The program consists of five sections.

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The Authors consider problems related to technique and organization of LDL-Apheresis with respect to some particular aspects. They evaluate: a) Technical complexity of procedures both in devices to use and in staff preparation; b) Length of treatment which conditions the other fields of activity; c) Problems in management treatments periodicity; d) Usually high cost of this kind of procedures; e) Problems related to vascular accesses; f) Problems related to pediatric patients, both for their low weight and vascular accesses; g) Management of cardio-vascular complications; h) Difficulties in evaluation of regression of vascular lesions. Finally, it is particularly difficult the management of psychological aspects related to somatic symptoms of the disease and to the acceptance of treatment.

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Several programs are available for blood banks management but none of them is particularly made for hemapheresis. We studied a data base application able to manage any aspect of hemapheresis unit activity. The programming general criteria were: 1) easiness of use even for people without any previous experience in using Personal Computers; 2) maximum saving time in operating; 3) easily modifiable system in reply to problems or new needs; 4) automatic checks in order to have the highest automation together with the smallest error risk; 5) quick view on state of activity and on material consumption; 6) simplification of donor recruitment.

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Background And Purpose: Low-density lipoprotein apheresis is currently used for the treatment of familial hypercholesterolemia, an inherited disorder of metabolism associated with premature development of cardiovascular disease. We wanted to evaluate cerebral blood flow velocity, cardiac output, and systemic vascular resistance in patients with familial hypercholesterolemia before and after low-density lipoprotein apheresis.

Methods: Ten patients (age range, 14 to 46 years; 4 males, 6 females) with familial hypercholesterolemia (8 homozygotes, 2 heterozygotes) and 10 healthy control subjects of comparable age and sex distribution participated in the study.

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The most severe forms of hypercholesterolaemia scarcely respond to diet and conventional drugs administration and need, therefore, alternative treatments. Terapeutic Plasma Exchange demonstrated an improved survival of subjects with Familial Hypercholesterolaemia (FH) in spite of its limitations. Semi-selective and selective techniques have been developed in order to remove LDL cholesterol alone.

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Plasma levels of tissue plasminogen activator (t-PA) and plasminogen activator inhibitor (PAI) and the in vitro ability of platelets to aggregate and of monocytes to express procoagulant (tissue factor) activity (PCA) were evaluated in five patients who are homozygous for familial hypercholesterolemia (FH) before and after a single and a regular 5-month cholesterol removal by low density lipoprotein (LDL) apheresis. The biweekly procedure resulted in a 25% to 30% reduction (approximately 150 mg/dl) in total and LDL cholesterol (both were greater than 550 mg/dl at the beginning of the study). The basal levels of t-PA antigen and fibrinolytic activity before and after 10 minutes of venous stasis, basal PAI activity, and PAI-1 antigen were comparable to controls and were not affected by LDL apheresis.

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