Department of Haematology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
Department for Health Evidence, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
Bone Marrow Transplant. 2014 Feb;49(2):264-9. doi: 10.1038/bmt.2013.172. Epub 2013 Nov 4.
A cohort of 439 haematopoietic SCT recipients was analysed to determine the incidence of Gram-positive coccal bacteraemia and thromboembolic events associated with the use of central venous catheters (CVCs) and to determine risk factors for these complications. The incidences of persistent coagulase-negative staphylococcal (CoNS) bacteraemia, symptomatic thrombosis and thrombophlebitis were 25%, 9.6% and 6.6%, respectively. Duration of neutropenia (in days, odds ratio (OR) 1.02; P=0.04) and left-sided placement of the CVCs (OR 1.73; P=0.03) were independent risk factors for the occurrence of persistent CoNS bacteraemia, whereas the use of less mucotoxic conditioning regimens was associated with a lower risk (high-dose melphalan (HDM)/BEAM vs other regimens, OR 0.24; P<0.001). Use of TBI, persistent CoNS bacteraemia and tip colonisation were all significantly associated with an increased risk of symptomatic thrombosis (OR 6.03, 3.36 and 2.80, respectively; P0.02). The risk factors found in this cohort of SCT recipients differed from those found in the general cancer population, showing an important role for persisting bacteraemia in the pathogenesis of CVC-associated thrombosis. Therefore, we constructed a new algorithm in order to improve catheter management and prevent these CVC-related complications.
对 439 例造血干细胞移植受者进行了分析,以确定与使用中心静脉导管(CVC)相关的革兰阳性球菌菌血症和血栓栓塞事件的发生率,并确定这些并发症的危险因素。持续性凝固酶阴性葡萄球菌(CoNS)菌血症、症状性血栓形成和血栓性静脉炎的发生率分别为 25%、9.6%和 6.6%。中性粒细胞减少症的持续时间(天数,比值比(OR)1.02;P=0.04)和 CVC 左侧放置(OR 1.73;P=0.03)是持续性 CoNS 菌血症发生的独立危险因素,而使用较少粘膜炎毒性的预处理方案与较低的风险相关(大剂量马法兰(HDM)/BEAM 与其他方案相比,OR 0.24;P<0.001)。使用 TBI、持续性 CoNS 菌血症和尖端定植均与症状性血栓形成的风险增加显著相关(OR 分别为 6.03、3.36 和 2.80;P<0.02)。在该移植受者队列中发现的危险因素与普通癌症患者中的危险因素不同,表明持续菌血症在 CVC 相关血栓形成的发病机制中起着重要作用。因此,我们构建了一种新的算法,以改善导管管理并预防这些与 CVC 相关的并发症。