Development of an anthropometric prediction model for neonatal PICC insertion Depth: a multicenter study
Year: 2026
Type: article
Study design: Observational Study
Abstract: Peripherally inserted central catheter (PICC) placement is essential for long-term nutrition and medication administration in critically ill neonates. Surface-landmark methods commonly used to estimate insertion depth are often inaccurate and susceptible to human error. This study aimed to develop a more reliable model by evaluating the relationship between neonatal anthropometric measurements and ideal catheter depth. In this prospective study conducted across three neonatal centers in Shiraz and Fasa, Iran, in 2025, 205 infants were evaluated. Catheters were inserted using standard topographic measurements, and final tip position was confirmed radiographically. Data including weight, length, head circumference, gestational age, and insertion site were recorded. Linear regression analysis was performed to identify predictors of catheter depth. The mean weight of the infants was 1673 ± 670 g. In univariate analysis catheter depth showed a significant correlation with weight, length, and head circumference ( P < 0.001), and gestational age ( P = 0.006), but not with chronological age ( P = 0.98). To account insertion site, multiple regression analysis applied (R 2 = 0.80). Accordingly, insertion weight and three insertion veins (Axillary, Dorsal metacarpal, Greater saphenous) were statistically significant and entered to the regression model ( P = 0.005). Birth weight is a strong predictor of optimal PICC depth. This site-specific formula may improve bedside accuracy and reduce catheter malposition. Not applicable.
Source: BMC Pediatrics
Language: English
Subfield: Emergency Medical Services
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
OpenAlex ID: W7204462854
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