PICC and midline algorithm in patients with advanced kidney disease
Abstract:
Introduction: Kidney Disease Outcomes Quality Initiative clinical practice guidelines recommend avoiding placement of peripherally inserted vascular access devices in patients with an estimated glomerular filtration rate (eGFR) <45 ml/min. On the other hand, many patients with severe chronic kidney disease (CKD) have poor prognosis.This study carried out a global assessment of mortality at 2 years through Charlson Comorbidity Index (CCI) and Beclap score in patients with PICCs or Midlines, assuming that in those with an estimated high mortality rate at 2 years, it could be acceptable to implant a peripheral vascular access device (PVAD) despite the presence of CKD.
Methods: We analyzed data on patients with PICCs or Midlines inserted from October 2018 to November 2019. CCI, Beclap score, and eGFR were calculated for each patient at the time of the catheter insertion. We then followed patients for 2 years to assess 2-year mortality for each.
Results: One hundred and thirty-one patients were enrolled, 49 (37.4%) had eGFR<45 ml. The 2-year mortality rate was 57.3%. The cut off derived from ROC curve analysis of 15 for Beclap score and 5 for CCI, showed good sensitivity and specificity in predicting mortality of the total population, patients without an oncological disease and patients with eGFR<45 ml/min.
Conclusion: CCI and Beclap score are good predictors of mortality at 2 years.Physicians and nurses can use these tools in the evaluation of patients at risk for future dialysis, instead of relying exclusively on renal function to decide whether implanting PICCs, Midlines, or other vascular access devices.
Reference:
Bartoli A, Gallieni M, Cogliati C, Casella F, Calloni M, Melchionda C, Heidempergher M, Foschi A, Luca Brucato A, Rizzi G, Quici M, Gidaro A. A decision-making algorithm proposal for PICCs and midlines insertion in patients with advanced kidney disease: A pilot study. J Vasc Access. 2023 Feb 1:11297298231152499. doi: 10.1177/11297298231152499. Epub ahead of print. PMID: 36726229.