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      Risk factors for mechanical complications of peripherally inserted central catheters in children

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          Abstract

          Objective:

          To determine risk factors for mechanical (noninfectious) complications in peripherally inserted central catheters (PICCs) in children.

          Design:

          Retrospective cohort study.

          Setting:

          Pediatric tertiary-care center in Nova Scotia, Canada.

          Patients:

          Pediatric patients with a first PICC insertion.

          Methods:

          All PICCs inserted between January 2001 until 2016 were included. Age-stratified (neonates vs non-neonates) Fine–Grey competing risk proportional hazard models were used to model the association between each putative risk factor and the time to mechanical complication or removal of the PICC for reasons not related to a mechanical complication. Models were adjusted for confounding variables identified through directed acyclic graphs.

          Results:

          Of 3,205 patients with PICCs, 706 had mechanical complications (22% or 14 events/1000 device days). For both neonates and older children, disease group, lumen count, and prior leak were all associated with mechanical complications in the adjusted proportional hazards model. Access vein and prior infection were also associated with mechanical complications for neonates, and age group was associated with mechanical complications among non-neonates.

          Conclusions:

          We have identified several risk factors for mechanical complications in patients with PICCs that will help improve best practices for PICC insertion and care.

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          Most cited references25

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          A Proportional Hazards Model for the Subdistribution of a Competing Risk

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            Preventing complications of central venous catheterization.

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              The table 2 fallacy: presenting and interpreting confounder and modifier coefficients.

              It is common to present multiple adjusted effect estimates from a single model in a single table. For example, a table might show odds ratios for one or more exposures and also for several confounders from a single logistic regression. This can lead to mistaken interpretations of these estimates. We use causal diagrams to display the sources of the problems. Presentation of exposure and confounder effect estimates from a single model may lead to several interpretative difficulties, inviting confusion of direct-effect estimates with total-effect estimates for covariates in the model. These effect estimates may also be confounded even though the effect estimate for the main exposure is not confounded. Interpretation of these effect estimates is further complicated by heterogeneity (variation, modification) of the exposure effect measure across covariate levels. We offer suggestions to limit potential misunderstandings when multiple effect estimates are presented, including precise distinction between total and direct effect measures from a single model, and use of multiple models tailored to yield total-effect estimates for covariates.
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                Author and article information

                Journal
                Infect Control Hosp Epidemiol
                Infect Control Hosp Epidemiol
                ICE
                Infection Control and Hospital Epidemiology
                Cambridge University Press (New York, USA )
                0899-823X
                1559-6834
                June 2023
                20 October 2022
                : 44
                : 6
                : 885-890
                Affiliations
                [ 1 ]Faculty of Medicine, Dalhousie University , Halifax, Nova Scotia, Canada
                [ 2 ]Department of Pediatrics, Dalhousie University , Halifax, Nova Scotia, Canada
                [ 3 ]Department of Obstetrics and Gynaecology, Dalhousie University , Halifax, Nova Scotia, Canada
                [ 4 ] Canadian Center for Vaccinology (Dalhousie University, IWK Health and Nova Scotia Health) , Halifax, Nova Scotia, Canada
                Author notes
                Author for correspondence: Joanne M. Langley, E-mail: joanne.langley@ 123456dal.ca
                Author information
                https://orcid.org/0000-0001-8287-6396
                https://orcid.org/0000-0001-9417-3727
                https://orcid.org/0000-0002-0966-4239
                https://orcid.org/0000-0003-3270-7345
                Article
                S0899823X22001933
                10.1017/ice.2022.193
                10262158
                36263455
                595bf6ce-d4ac-4a4d-a388-918e54165ecd
                © The Author(s) 2022

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 22 February 2022
                : 30 June 2022
                : 06 July 2022
                Page count
                Figures: 1, Tables: 3, References: 25, Pages: 6
                Categories
                Original Article

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