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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedGovindan S, O'Malley ME, Flanders SA
The MI-PICC Score: a risk-Prediction Model for PICC-associated Complications in the ICU.
The authors examined predictive factors for adverse events in critically ill patients with peripherally inserted central catheters (PICCs). They found that PICC-related complications in the ICU were significantly associated with history of deep vein thrombosis, active diagnosis of cancer, presence of a second central venous catheter, blood transfusion through the PICC, and PICC dwell time.
AHRQ-funded; HS025891.
Citation: Govindan S, O'Malley ME, Flanders SA .
The MI-PICC Score: a risk-Prediction Model for PICC-associated Complications in the ICU.
Am J Respir Crit Care Med 2022 Nov 15;206(10):1286-89. doi: 10.1164/rccm.202204-0760LE..
Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Healthcare-Associated Infections (HAIs), Critical Care, Intensive Care Unit (ICU), Risk, Adverse Events