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A New Equation to Estimate Peripherally Inserted Central Catheter Lengthopen access

Authors
Kim, HosuCho, Soo-BuemPark, Sung-EunJo, Sa-HongLim, Sung-GongJeong, YujinWon, Jung-HoYang, Won-JeongChoi, Ho-CheolAhn, Jong-HwaNam, In-Chul
Issue Date
Mar-2024
Publisher
MDPI
Keywords
intensive care unit; elbow crease to the cavoatrial junction length; equation; peripherally inserted central catheter; sex; weight
Citation
Medicina (Kaunas, Lithuania), v.60, no.3
Indexed
SCIE
SCOPUS
Journal Title
Medicina (Kaunas, Lithuania)
Volume
60
Number
3
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/70060
DOI
10.3390/medicina60030417
ISSN
1010-660X
1648-9144
Abstract
Background and Objectives: Peripherally inserted central catheter (PICC) placement plays an important role in clinical practice. This study aimed to provide an equation for the proper estimation of catheter length in cases of PICC placement without imaging guidance in relation to patient height, weight, sex, and age. Materials and Methods: For 1137 PICC placement cases in both arm veins of 954 patients at a single center, the elbow crease to the cavoatrial junction length (ECL) was calculated as follows: ECL = (PICC length) + (distance from the elbow crease to the puncture site). We analyzed the relationship between ECL and patient characteristics and suggested a new equation for ECL based on height, weight, sex, and age. Results: The average ECL was 48.0 +/- 2.4 cm in the right side and 51.0 +/- 3.0 cm in the left side. ECL in the right arm was significantly correlated with patient height, sex, and age, whereas the ECL in the left arm was additionally significantly correlated with patient weight. The ECL (cm) prediction model was as follows: right ECL = 26.32 + 1.33 x (female = 1, male = 2) - 0.02 x age (years) + 0.13 x height (cm); left ECL = 22.09 + 1.28 x (female = 1, male = 2) + 0.02 x age (years) + 0.14 x height (cm) + 0.042 x weight (kg). Conclusions: The appropriate PICC length was predicted based on the patient's height, weight, sex, and age. The equations in our study can help predict the optimal catheter length and can be automatically calculated using computerized patient information for bedside procedures in PICC.
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의학계열 > 의학과 > Journal Articles
College of Medicine > Department of Medicine > Journal Articles

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