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Query: UMLS:C0012739 (disseminated intravascular coagulation)
 8,673 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

In the fields of medicine and public health, a common application of areal data models is the study of geographical patterns of disease. When we have several measurements recorded at each spatial location (for example, information on p>/= 2 diseases from the same population groups or regions), we need to consider multivariate areal data models in order to handle the dependence among the multivariate components as well as the spatial dependence between sites. In this article, we propose a flexible new class of generalized multivariate conditionally autoregressive (GMCAR) models for areal data, and show how it enriches the MCAR class. Our approach differs from earlier ones in that it directly specifies the joint distribution for a multivariate Markov random field (MRF) through the specification of simpler conditional and marginal models. This in turn leads to a significant reduction in the computational burden in hierarchical spatial random effect modeling, where posterior summaries are computed using Markov chain Monte Carlo (MCMC). We compare our approach with existing MCAR models in the literature via simulation, using average mean square error (AMSE) and a convenient hierarchical model selection criterion, the deviance information criterion (DIC; Spiegelhalter et al., 2002, Journal of the Royal Statistical Society, Series B64, 583-639). Finally, we offer a real-data application of our proposed GMCAR approach that models lung and esophagus cancer death rates during 1991-1998 in Minnesota counties.
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PMID:Generalized hierarchical multivariate CAR models for areal data. 1640 Dec 68

A 70-year-old woman was diagnosed with synchronous advanced esophageal cancer and early renal cancer. During chemoradiation therapy for the esophageal cancer, she suffered from septic shock due to pneumonia. She got worse despite the administration of antibiotics and gglobulin. On the following day, she was diagnosed with septic disseminated intravascular coagulation(DIC)on the basis of the diagnostic criterion for acute DIC. Recombinant human soluble thrombomodulin(rTM) was administered to treat the DIC. The patient responded promptly to rTM treatment and recovered from the DIC in just 1 day. rTM is thought to be an effective drug for sepsis-induced DIC during chemoradiation therapy.
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PMID:[A case of esophageal cancer with septic disseminated intravascular coagulation treated with recombinant human soluble thrombomodulin during chemoradiation therapy]. 2404 82

A 66-year-old man was diagnosed with synchronous early esophageal cancer and advanced gastric cancer. He received CDDP-based combination chemotherapy (docetaxcel, CDDP, and TS-1). During chemotherapy for gastric cancer, he suddenly developed septic shock, requiring intensive treatment with antibiotics, intravenous immunoglobulin, circulatory and respiratory care, and hemoperfusion with a polymyxin B column. He also had disseminated intravascular coagulation (DIC), complicated by sepsis. Recombinant human soluble thrombomodulin (rTM) was administered to treat DIC. The intensive treatments described above allowed the patient to recover from septic shock and DIC several days later. Early and adequate treatment could be used to rescue a compromised cancer-bearing patient from septic shock following chemotherapy.
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PMID:[A Case of Concurrent Cancer of the Esophagus and Stomach with Severe Sepsis following Chemotherapy]. 2648 86