RESUMO
OBJECTIVE: To explore the treatment of heparin-induced thrombocytopenia (HIT) in venous thromboembolism. METHODS: A total of 202 patients with venous thromboembolism without anticoagulation contraindications were enrolled. All of them were treated with low molecular weight heparin (LMWH) and/or unfractionated heparin (UFH). The peripheral blood cells were examined regularly. RESULTS: HIT occurred in 6 patients. And argatroban was used to treat HIT. The overall incidence rate of HIT in this study was 2.97%. The time of occurrence of HIT was about Days 3 - 9 after using heparin. The platelet recovered to the basic level at Days 3 - 7 after withdrawing heparin and initiating argatroban. CONCLUSION: The count of platelet should be measured in the patients receiving regular LMWH and/or UFH therapy. And the above regimen should be discontinued timely when the platelet count declined progressively by over 50%. Argatroban was effective.
Assuntos
Anticoagulantes/efeitos adversos , Heparina/efeitos adversos , Trombocitopenia/induzido quimicamente , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Anticoagulantes/uso terapêutico , Arginina/análogos & derivados , Feminino , Heparina/uso terapêutico , Humanos , Masculino , Pessoa de Meia-Idade , Ácidos Pipecólicos/uso terapêutico , Contagem de Plaquetas , Sulfonamidas , Trombocitopenia/tratamento farmacológico , Tromboembolia Venosa/tratamento farmacológico , Adulto JovemRESUMO
Taking the lower reaches of Tarim River in Xinjiang of Northwest China as study areaAbstract: Taking the lower reaches of Tarim River in Xinjiang of Northwest China as study area and based on the ground investigation and the multi-source remote sensing data of different resolutions, the estimation models for desert vegetation coverage were built, with the precisions of different estimation methods and models compared. The results showed that with the increasing spatial resolution of remote sensing data, the precisions of the estimation models increased. The estimation precision of the models based on the high, middle-high, and middle-low resolution remote sensing data was 89.5%, 87.0%, and 84.56%, respectively, and the precisions of the remote sensing models were higher than that of vegetation index method. This study revealed the change patterns of the estimation precision of desert vegetation coverage based on different spatial resolution remote sensing data, and realized the quantitative conversion of the parameters and scales among the high, middle, and low spatial resolution remote sensing data of desert vegetation coverage, which would provide direct evidence for establishing and implementing comprehensive remote sensing monitoring scheme for the ecological restoration in the study area.