The objectives of this study were to construct femoral artery (FA) and femoral vein (FV) nomograms in children aged 0-4 years and to construct probability curves for the occurrence of arterial access complications based on the size of the FA. The FV and FA are commonly accessed during cardiac catheterizations in children with congenital heart diseases (CHD). However, nomograms for vessel dimensions based on child's age or size are not available. This knowledge may be helpful for interventional planning. A prospective study was performed on 400 children (age 0-4 years) with CHD undergoing cardiac catheterizations over a 3-year period. Ultrasound evaluation of the right and left FA and FV was performed under anesthesia prior to vascular access. Regression modeling was applied to derive nomograms based on quantile polynomial regression, which yielded good fit to the data judged by R-squared. GAMLSS transformation method was used to formulate smoothed percentiles. A separate prospective evaluation of FA to determine the size below which loss of pulse (LOP) are likely to occur was performed. Nomograms for FA and FV diameter and cross-sectional area against age and body surface area and probability curves for FA LOP were constructed. It is now possible to examine ultrasound-based normal sizes of femoral vein and artery in children 0-4 years of age. Femoral vessel nomograms and LOP probability curves may help with interventional planning. Future studies with larger sample size, including children of other ages may be useful.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00246-020-02363-6DOI Listing

Publication Analysis

Top Keywords

probability curves
12
femoral vessel
8
vessel nomograms
8
femoral vein
8
cardiac catheterizations
8
interventional planning
8
nomograms
6
children
6
construction femoral
4
nomograms planning
4

Similar Publications

Objective: To develop and validate a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection (POI) after radical colorectal cancer (CRC) surgery.

Design: Cross-sectional study.

Participants: This study analysed 866 CRC patients after radical surgery at a tertiary hospital in China.

View Article and Find Full Text PDF

Background: A variety of clinically important benchmarks of success (CIBS) have been defined for total shoulder arthroplasty (TSA) to quantify success. However, it is unclear how the preoperative status of the patient influences their likelihood of achieving each CIBS.

Questions/purposes: (1) What proportion of patients achieve commonly used CIBS after TSA? (2) Is there a relationship between a patients' preoperative function and their probability of achieving different CIBS? (3) Does there exist preoperative ranges for each outcome measure that are associated with greater achievement of CIBS?

Methods: We retrospectively queried a multicenter shoulder arthroplasty database for primary anatomic TSA (aTSA) and reverse TSA (rTSA).

View Article and Find Full Text PDF

Objective: Biliary atresia (BA) remains a prevalent indication for pediatric liver transplantation (LT). We investigated the prognostic value of the serum matrix metalloproteinases 7 (MMP-7) and alkaline phosphatase (ALP) level combined detection for BA children post-Kasai surgery.

Methods: This study retrospectively enrolled 85 BA children who underwent Kasai surgery.

View Article and Find Full Text PDF

Percutaneous nephrolithotomy (PCNL) is a widely preferred method for treating complex kidney stones, particularly in patients with larger or more complicated stones. Despite its advantages, such as minimal invasiveness and a shorter recovery time, postoperative complications can occur, thereby necessitating effective risk assessment tools to identify at-risk patients. This study evaluated the Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system's utility in predicting postoperative complications following standard PCNL.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!