901 resultados para Installment schedule
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BACKGROUND: P2Y12 antagonist therapy improves outcomes in acute myocardial infarction (MI) patients. Novel agents in this class are now available in the US. We studied the introduction of prasugrel into contemporary MI practice to understand the appropriateness of its use and assess for changes in antiplatelet management practices. METHODS AND RESULTS: Using ACTION Registry-GWTG (Get-with-the-Guidelines), we evaluated patterns of P2Y12 antagonist use within 24 hours of admission in 100 228 ST elevation myocardial infarction (STEMI) and 158 492 Non-ST elevation myocardial infarction (NSTEMI) patients at 548 hospitals between October 2009 and September 2012. Rates of early P2Y12 antagonist use were approximately 90% among STEMI and 57% among NSTEMI patients. From 2009 to 2012, prasugrel use increased significantly from 3% to 18% (5% to 30% in STEMI; 2% to 10% in NSTEMI; P for trend <0.001 for all). During the same period, we observed a decrease in use of early but not discharge P2Y12 antagonist among NSTEMI patients. Although contraindicated, 3.0% of patients with prior stroke received prasugrel. Prasugrel was used in 1.9% of patients ≥75 years and 4.5% of patients with weight <60 kg. In both STEMI and NSTEMI, prasugrel was most frequently used in patients at the lowest predicted risk for bleeding and mortality. Despite lack of supporting evidence, prasugrel was initiated before cardiac catheterization in 18% of NSTEMI patients. CONCLUSIONS: With prasugrel as an antiplatelet treatment option, contemporary practice shows low uptake of prasugrel and delays in P2Y12 antagonist initiation among NSTEMI patients. We also note concerning evidence of inappropriate use of prasugrel, and inadequate targeting of this more potent therapy to maximize the benefit/risk ratio.
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Mozambique, with approximately 0.4 physicians and 4.1 nurses per 10,000 people, has one of the lowest ratios of health care providers to population in the world. To rapidly scale up health care coverage, the Mozambique Ministry of Health has pushed for greater investment in training nonphysician clinicians, Tιcnicos de Medicina (TM). Based on identified gaps in TM clinical performance, the Ministry of Health requested technical assistance from the International Training and Education Center for Health (I-TECH) to revise the two-and-a-half-year preservice curriculum. A six-step process was used to revise the curriculum: (i) Conducting a task analysis, (ii) defining a new curriculum approach and selecting an integrated model of subject and competency-based education, (iii) revising and restructuring the 30-month course schedule to emphasize clinical skills, (iv) developing a detailed syllabus for each course, (v) developing content for each lesson, and (vi) evaluating implementation and integrating feedback for ongoing improvement. In May 2010, the Mozambique Minister of Health approved the revised curriculum, which is currently being implemented in 10 training institutions around the country. Key lessons learned: (i) Detailed assessment of training institutions' strengths and weaknesses should inform curriculum revision. (ii) Establishing a Technical Working Group with respected and motivated clinicians is key to promoting local buy-in and ownership. (iii) Providing ready-to-use didactic material helps to address some challenges commonly found in resource-limited settings. (iv) Comprehensive curriculum revision is an important first step toward improving the quality of training provided to health care providers in developing countries. Other aspects of implementation at training institutions and health care facilities must also be addressed to ensure that providers are adequately trained and equipped to provide quality health care services. This approach to curriculum revision and implementation teaches several key lessons, which may be applicable to preservice training programs in other less developed countries.
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This is the second installment of a three-part project to publish a group of ten Ptolemaic papyri purchased by Yale’s Beinecke Library in 1998 (acquisition “1998b”), which came to the Beinecke as three hard wads that were apparently the stuffing from the stomach cavity of a mummified animal. This article publishes: (1) P.CtYBR inv. 5019, a fragment of line ends in iambic tetrameter catalectic meter from an unknown comedy; the format suggests that this is a further example of certain type of Ptolemaic writing exercise. (2) P.CtYBR inv. 5043, a fragmentary grammatical text of uncertain import.
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Clinical Trial
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Neonatal immaturity of the immune system is currently believed to generally limit the induction of immune responses to vaccine Ags and to skew them toward type 2 responses. We demonstrated here that Bordetella pertussis infection in very young infants (median, 2 mo old) as well as the first administration of whole-cell pertussis vaccine induces B. pertussis Ag-specific IFN-gamma secretion by the PBMC of these infants. IFN-gamma was secreted by both CD4(+) and CD8(+) T lymphocytes, and the levels of Ag-induced IFN-gamma secretion did not correlate with the age of the infants. Appearance of the specific Th-1 cell-mediated immunity was accompanied by a general shift of the cytokine secretion profile of these infants toward a stronger Th1 profile, as evidenced by the response to a polyclonal stimulation. We conclude that the immune system of 2-mo-old infants is developmentally mature enough to develop Th1 responses in vivo upon infection by B. pertussis or vaccination with whole-cell pertussis vaccines.
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BACKGROUND: In most emergency departments, tetanus prophylaxis currently relies on vaccination history. Bedside evaluation of tetanus immunity may improve this process. OBJECTIVES: (i) To determine the seroprevalence of tetanus immunity; (ii) to evaluate the accuracy of vaccination history in assessing tetanus immunity; (iii) to identify factors predictive of seroprotection and incorrect history. METHOD: In a prospective observational study, tetanus immunity was assessed in 784 adults using Tétanos Quick Stick (TQS). A questionnaire was completed to obtain vaccination and general histories. Immunity assessed by TQS and by vaccination history were compared with anti-tetanus antibody levels measured by the enzyme-linked immunosorbent assay (seroprotection threshold >0.15 IU/ml). RESULTS: Overall, 64.2% of patients were protected according to TQS results. Four independent predictors of seroprotection were identified: young age, birthplace in Belgium, male sex and occupational medicine consultation. TQS performance was good: kappa=0.71, sensitivity 85.3%, specificity 87.2%, positive predictive value 92.1% and negative predictive value 77.2%. Seven hundred and sixty-two participants responded to the vaccination history: 23.4% said they were protected, 22.1% that they were not and 54.5% did not know. History performance was poor: kappa=0.27, sensitivity 60.3%, specificity 73.3%, positive predictive value 81.8% and negative predictive value 45.8%. Compared with history, TQS offered a significantly better sensitivity, negative and positive predictive values, but specificity was similar. No predictor of an incorrect history was identified. CONCLUSION: Lack of protective immunity against tetanus is frequent but poorly evaluated by history taking. Several demographic characteristics are good predictors of seroprotection. TQS could be a valuable tool in selected patients to improve tetanus prophylaxis in the emergency department.
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A high frequency of Tobacco Mosaic virus (TMV) binding cells was found in spleen cells from unimmunized mice (about 3 to 4%). TMV binding is strongly inhibited by previous incubation with anti immunoglobulin antisera. After stripping of membrane receptors, a full recovery for antigen binding capacity can be observed after 24 hr culture. Experiments are presented to exclude artefactual fluorescent cells: interaction of TMV with some non immunoglobulin membrane components; interaction of fluorescent anti TMV antibody with the Fc receptor of B cells; the binding of TMV to cytophilic immunoglobulins. The occurrence of lymphocytes able to bind several non crossreactive antigens is suggested by three lines of evidence: the high number of antigen binding cells in unimmunized mice, presence of surface immunoglobulins on some TMV binding cells after complete capping of TMV receptors and the direct demonstration of lymphocytes binding TMV and hemocyanin at different membrane sites.
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Purpose: This study was designed to test the activity and feasibility of an all-oral regimen of levo-leucovorin and doxifluridine (dFUR) in the treatment of advanced colorectal cancer and to establish whether the pharmacokinetics of dFUR and fluorouracil (FU) are affected by demographic and/or biologic parameters. Materials and Methods: One hundred eight patients with histologically proven colorectal cancer received orally administered levo-leucovorin 25 mg followed 2 hours later by dFUR 1,200 mg/m2 on days 1 to 5, with the cycle being repeated every 10 days. Results: Among 62 previously untreated patients, two complete responses (CRs) and 18 partial responses (PRs) were observed (overall response rate, 32%; 95% confidence interval, 21% to 45%). The median response duration was 4 months (range, 2 to 13) and the median survival time, 14 months. Among 46 pretreated patients, there were three CRs and three PRs (response rate, 13%; 95% confidence interval, 5% to 26%). In this group of patients, the median response duration was 4 months (range, 1 to 12) and the median survival time, 12 months. No toxic deaths were observed. The only World Health Organization (WHO) grade 3 to 4 side effect was diarrhea (32 patients). Conclusion: This regimen is active in previously untreated colorectal cancer patients and combines good compliance with safety. Limited but definite efficacy was also detected in the patients previously treated with FU, which suggests incomplete cross- resistance between the two drugs. The pharmacokinetic results suggest that the conversion rate of dFUR to FU increases between days 1 and 5, but that FU levels remain low in comparison to those measured after classical FU therapy. Under the experimental conditions used in this study, the interpatient variability of pharmacokinetic parameters remains largely unexplained by the tested variables.
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This paper considers the problem of sequencing n jobs in a three-machine flow shop with the objective of minimizing the makespan, which is the completion time of the last job. An O(n log n) time heuristic that is based on Johnson's algorithm is presented. It is shown to generate a schedule with length at most 5/3 times that of an optimal schedule, thereby reducing the previous best available worst-case performance ratio of 2. An application to the general flow shop is also discussed.
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The paper considers a scheduling model that generalizes the well-known open shop, flow shop, and job shop models. For that model, called the super shop, we study the complexity of finding a time-optimal schedule in both preemptive and non-preemptive cases assuming that precedence constraints are imposed over the set of jobs. Two types of precedence rela-tions are considered. Most of the arising problems are proved to be NP-hard, while for some of them polynomial-time algorithms are presented.
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In many practical situations, batching of similar jobs to avoid setups is performed while constructing a schedule. This paper addresses the problem of non-preemptively scheduling independent jobs in a two-machine flow shop with the objective of minimizing the makespan. Jobs are grouped into batches. A sequence independent batch setup time on each machine is required before the first job is processed, and when a machine switches from processing a job in some batch to a job of another batch. Besides its practical interest, this problem is a direct generalization of the classical two-machine flow shop problem with no grouping of jobs, which can be solved optimally by Johnson's well-known algorithm. The problem under investigation is known to be NP-hard. We propose two O(n logn) time heuristic algorithms. The first heuristic, which creates a schedule with minimum total setup time by forcing all jobs in the same batch to be sequenced in adjacent positions, has a worst-case performance ratio of 3/2. By allowing each batch to be split into at most two sub-batches, a second heuristic is developed which has an improved worst-case performance ratio of 4/3. © 1998 The Mathematical Programming Society, Inc. Published by Elsevier Science B.V.
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The paper considers the open shop scheduling problem to minimize the make-span, provided that one of the machines has to process the jobs according to a given sequence. We show that in the preemptive case the problem is polynomially solvable for an arbitrary number of machines. If preemption is not allowed, the problem is NP-hard in the strong sense if the number of machines is variable, and is NP-hard in the ordinary sense in the case of two machines. For the latter case we give a heuristic algorithm that runs in linear time and produces a schedule with the makespan that is at most 5/4 times the optimal value. We also show that the two-machine problem in the nonpreemptive case is solvable in pseudopolynomial time by a dynamic programming algorithm, and that the algorithm can be converted into a fully polynomial approximation scheme. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 705–731, 1998
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The paper considers the single machine due date assignment and scheduling problems with n jobs in which the due dates are to be obtained from the processing times by adding a positive slack q. A schedule is feasible if there are no tardy jobs and the job sequence respects given precedence constraints. The value of q is chosen so as to minimize a function ϕ(F,q) which is non-decreasing in each of its arguments, where F is a certain non-decreasing earliness penalty function. Once q is chosen or fixed, the corresponding scheduling problem is to find a feasible schedule with the minimum value of function F. In the case of arbitrary precedence constraints the problems under consideration are shown to be NP-hard in the strong sense even for F being total earliness. If the precedence constraints are defined by a series-parallel graph, both scheduling and due date assignment problems are proved solvable in time, provided that F is either the sum of linear functions or the sum of exponential functions. The running time of the algorithms can be reduced to if the jobs are independent. Scope and purpose We consider the single machine due date assignment and scheduling problems and design fast algorithms for their solution under a wide range of assumptions. The problems under consideration arise in production planning when the management is faced with a problem of setting the realistic due dates for a number of orders. The due dates of the orders are determined by increasing the time needed for their fulfillment by a common positive slack. If the slack is set to be large enough, the due dates can be easily maintained, thereby producing a good image of the firm. This, however, may result in the substantial holding cost of the finished products before they are brought to the customer. The objective is to explore the trade-off between the size of the slack and the arising holding costs for the early orders.
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The paper presents an improved version of the greedy open shop approximation algorithm with pre-ordering of jobs. It is shown that the algorithm compares favorably with the greedy algorithm with no pre-ordering by reducing either its absolute or relative error. In the case of three machines, the new algorithm creates a schedule with the makespan that is at most 3/2 times the optimal value.
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We consider two “minimum”NP-hard job shop scheduling problems to minimize the makespan. In one of the problems every job has to be processed on at most two out of three available machines. In the other problem there are two machines, and a job may visit one of the machines twice. For each problem, we define a class of heuristic schedules in which certain subsets of operations are kept as blocks on the corresponding machines. We show that for each problem the value of the makespan of the best schedule in that class cannot be less than 3/2 times the optimal value, and present algorithms that guarantee a worst-case ratio of 3/2.