1. Totally implanted venous access-associated adverse events in oncology: Results from a prospective 1-year surveillance programme
- Author
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Herve Daubert, Marion Lottin, Frédéric Di Fiore, Christian Gray, Thomas Vermeulin, Pierre Czernichow, Mélodie Lucas, Véronique Merle, Hélène Marini, Agnès Loeb, Florian Guisier, Pierre Michel, Rémy De Mil, David Sefrioui, Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel), CHU Rouen, Normandie Université (NU), Equipe Quantification en Imagerie Fonctionnelle (QuantIF-LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Université de Rouen Normandie (UNIROUEN), and Normandie Université (NU)-Normandie Université (NU)
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Male ,Oncology ,Cancer Research ,medicine.medical_specialty ,Time Factors ,Referral ,[SDV]Life Sciences [q-bio] ,Logistic regression ,Health Services Accessibility ,03 medical and health sciences ,0302 clinical medicine ,Neoplasms ,Internal medicine ,Catheterization, Peripheral ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Prospective Studies ,030212 general & internal medicine ,Adverse effect ,Hospital care ,Epidemiological monitoring ,business.industry ,Incidence ,Incidence (epidemiology) ,Cancer ,Hematology ,General Medicine ,Hospital information systems ,Middle Aged ,medicine.disease ,3. Good health ,Venous access ,Logistic Models ,Sample size determination ,Adverse events ,Catheter-Related Infections ,Hematologic Neoplasms ,030220 oncology & carcinogenesis ,Cohort ,Quality of health care ,Female ,France ,Cancers ,business - Abstract
Summary Introduction During the last decade, most studies on totally implanted venous access-associated adverse events (TIVA-AE) were conducted retrospectively and/or were based on a limited sample size. The aim of our survey was two-fold: to estimate the incidence of TIVA-AE and to identify risk factors in patients with cancer. Methods Data from our routine surveillance of TIVA-AE were collected prospectively between October 2009 and January 2011 in two oncology referral centers in Northern France. The open cohort under surveillance during the same time period was reconstituted retrospectively using data from the hospital information systems. Incidences of first TIVA-AE per 1000 TIVA-days were calculated. Risk factors were identified using multivariate logistic regressions. Results We included 2286 cancer patients, corresponding to 582,347 TIVA-days. Among the 133 first TIVA-AE observed (incidence 0.23 per 1000 TIVA-days [0.19–0.27]), there were 50 infectious AE (incidence 0.09 [0.06–0.11]) and 83 non-infectious AE (incidence 0.14 [0.11–0.17]). Compared to non-metastatic solid cancers, metastatic cancers (aOR = 2.3 [0.9–6.0]), and hematologic malignancies (aOR = 3.2 [1.1–8.8]) tended to be associated with a higher risk of infectious TIVA-AE (P = 0.087). Solid cancer type was associated with non-infectious TIVA-AE (P = 0.030), especially digestive cancers. Discussion We report accurate estimations of TIVA-AE incidences in one of the largest populations among previously published studies. As in previous studies, metastatic cancers and hematologic malignancies tended to be associated with a higher risk of infectious TIVA-AE. Further studies are warranted to confirm the effect of digestive cancers.
- Published
- 2018
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