Summary:This retrospective study has aimed at determining the prevalence, aetiology and clinical evolution of chronic liver disease (CLD) after allogeneic bone marrow transplantation (BMT). A total of 106 patients who had been transplanted in a single institution and who had survived for at least 2 years after BMT were studied. The prevalence of CLD was 57.5% (61/106). In 47.3% of cases more than one aetiopathogenic agent coexisted. The causes of CLD were iron overload (52.4%), chronic hepatitis C (47.5%), chronic graft-versus-host disease (C-GVHD) (37.7%), hepatitis B (6.5%), non-alcoholic steatohepatitis (NASH) (4.9%), autoimmune hepatitis (AIH) (4.9%) and unknown two (3.3%). Twenty-three patients with iron overload underwent venesections which were well tolerated. An improvement in liver function tests (LFTs) was observed in 21 (91%) patients. All six patients with siderosis as the only cause of CLD normalized LFT as well as three patients with HCV infection. Clinical evolution was satisfactory for patients with GVHD, AIH, NASH and hepatitis B. At the last visit 23 patients continued with abnormal LFTs, and 19 of them were infected by the HCV. A sustained biochemical and virologic response was achieved in only one case out of six patients with CHC who received interferon . We have found that CLD is a common complication in long-term BMT survivors. The aetiology is often multifactorial, iron overload, CHC and C-GVHD being the main causes. The CLD followed a rather 'benign' and slow course in our patients as none of them developed symptoms or signs of liver failure and we did not observe an increase in morbidity or mortality in these patients, but a longer follow-up is necessary in HCV infected patients based on the natural history of this infection in other populations. Bone Marrow Transplantation (2000) Liver disease is a well-known cause of early morbidity and mortality following an allogeneic bone marrow transplantation (BMT) which affects 80% of patients and is responsible for up to 5-10% of toxic-related deaths.
In the day-ahead dispatching of network-constrained electricity markets, renewable energy and distributed resources are dispatched together with conventional generation. The uncertainty and volatility associated to renewable resources represents a new paradigm to be faced for power system operation. Moreover, in various electricity markets there are mechanisms to allow the demand participation through demand response (DR) strategies. Under operational and economic restrictions, the operator each day, or even in intra-day markets, dispatchs an optimal power flow to find a feasible state of operation. The operation decisions in power markets use an optimal power flow considering unit commitment to dispatch economically generation and DR resources under security restrictions. This paper constructs a model to include demand response in the optimal power flow under wind power uncertainty. The model is formulated as a mixed-integer linear quadratic problem and evaluated through Monte-Carlo simulations. A large number of scenarios around a trajectory bid captures the uncertainty in wind power forecasting. The proposed integrated OPF model is tested on the standard IEEE 39-bus system.
Today, the power system operation represents a challenge given the security and reliability requirements. Mathematical models are used to represent and solve operational and planning issues related with electric systems. Specifically, the AC optimal power flow (ACOPF) and the DC optimal power flow (DCOPF) are tools used for operational and planning purposes. The DCOPF versions correspond to lineal versions of the ACOPF. This is due to the fact that the power flow solution is often hard to obtain with the ACOPF considering all constraints. However, the simplifications use only active power without considering reactive power, voltage values and losses on transmission lines, which are crucial factors for power system operation, potentially leading to inaccurate results. This paper develops a detailed formulation for both DCOPF and ACOPF with multiple generation sources to provide a 24-h dispatching in order to compare the differences between the solutions with different scenarios under high penetration of wind power. The results indicate the DCOPF inaccuracies with respect to the complete solution provided by the ACOPF.
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