PICC and CLABSI reduction
Peripherally inserted central venous catheters (PICCs) have a potential advantage in preventing central line-associated bloodstream infection (CLABSI) compared with the centrally inserted ones (CICCs). However, due to a limited number of studies with insufficient statistical evaluation, the superiority of PICCs is difficult to be generalized in adult hematology unit. We conducted a single-center retrospective study and compared the risk of CLABSI between 472 CICCs and 557 PICCs inserted in adult patients with hematological disorders through conventional multivariate models and a propensity score-adjusted analysis. The overall CLABSI incidence in CICCs and PICCs was 5.11 and 3.29 per 1000 catheter days (P = 0.024). The multivariate Cox regression analysis (hazard ratio : 0.48; 95% confidence interval : 0.31-0.75; P = 0.001) and Fine-Gray subdistribution analysis (HR: 0.59; 95% CI: 0.37-0.93; P = 0.023) demonstrated that PICC was independently associated with a reduced risk of CLABSI. Moreover, the stabilized inverse probability of treatment weighting analysis, which further reduced the selection bias between CICCs and PICCs, showed that PICCs significantly prevented CLABSI (HR: 0.58; 95% CI: 0.35-0.94; P = 0.029). Microbiologically, PICCs showed a significant decrease in gram-positive cocci (P = 0.001) and an increase in gram-positive bacilli (P = 0.002) because of a remarkable reduction in Staphylococci and increase in Corynebacterium species responsible for CLABSI. Our study confirmed that PICC was a superior alternative to CICC in preventing CLABSI in the adult hematology unit, while it posed a microbiological shift in local epidemiology.
Nakaya Y, Imasaki M, Shirano M, Shimizu K, Yagi N, Tsutsumi M, Yoshida M, Yoshimura T, Hayashi Y, Nakao T, Yamane T. Peripherally inserted central venous catheters decrease central line-associated bloodstream infections and change microbiological epidemiology in adult hematology unit: a propensity score-adjusted analysis. Ann Hematol. 2022 Jul 2. doi: 10.1007/s00277-022-04908-6. Epub ahead of print. PMID: 35780253.