Literature DB >> 16315293

Changes in liver volume from birth to adulthood: a meta-analysis.

Trevor N Johnson1, Geoffrey T Tucker, M Stuart Tanner, Amin Rostami-Hodjegan.   

Abstract

A diversity of equations is available for the estimation of liver volume (LV), derived from studies in populations of ethnically homogeneous individuals and using a variety of methods of measurement. The aim of this study was to integrate all published pediatric data and to define a general equation for estimating LV from birth onward. Data were collated from 5,036 subjects (birth to 18 yr old). Equations were developed based on simple regression against body surface area (BSA) and multiple regression of LV with weight, height, BSA, age, gender, race, methodology, and year of publication as covariates. These equations, together with those reported in the literature, were compared for accuracy of prediction of LV from birth to 18 yr old. The most parsimonious equation to describe LV was selected according to the Akaike information criteria (AIC), precision and bias and following visual inspection of residual errors and observed vs. predicted plots: LV = 0.722 * BSA(1.176). The multiple regression models indicated that Japanese have up to 19% larger livers compared to Caucasians for a given body weight. Radiographic and ultrasonic measurements were associated with up to 8% lower estimates of liver size compared to measurements made at autopsy. There was no evidence that gender or the year in which a study was published (1933-1999) influenced the estimation of LV. The general equation was also applied to predict adult LV, and its precision and accuracy was found to be superior to those of 10/11 published adult models. In conclusion, we have developed a more general model to predict LV in pediatric populations and young adults, and have investigated a range of covariates.

Mesh:

Year:  2005        PMID: 16315293     DOI: 10.1002/lt.20519

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  81 in total

1.  Increasing donor body weight to prevent small-for-size syndrome in living donor liver transplantation.

Authors:  Chinsu Liu; Rheun-Chuan Lee; Che-Chuan Loong; Cheng-Yuan Hsia; Yi-Chen Yeh; See-Ying Chiou
Journal:  World J Surg       Date:  2010-10       Impact factor: 3.352

2.  Prediction of drug clearance in a smoking population: modeling the impact of variable cigarette consumption on the induction of CYP1A2.

Authors:  David R Plowchalk; Karen Rowland Yeo
Journal:  Eur J Clin Pharmacol       Date:  2012-01-19       Impact factor: 2.953

3.  Formula for calculating standard liver volume in Indians.

Authors:  Anuradha Chandramohan; Banumathi Ramakrishna; Sitaram Venkatramani
Journal:  Indian J Gastroenterol       Date:  2012-02-21

4.  Recommendations for the assessment and reporting of multivariable logistic regression in transplantation literature.

Authors:  A C Kalil; J Mattei; D F Florescu; J Sun; R S Kalil
Journal:  Am J Transplant       Date:  2010-07       Impact factor: 8.086

5.  Organ data from the developing Göttingen minipig: first steps towards a juvenile PBPK model.

Authors:  Els Van Peer; Noel Downes; Christophe Casteleyn; Chris Van Ginneken; Arie Weeren; Steven Van Cruchten
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-12-19       Impact factor: 2.745

6.  A semi-mechanistic model to predict the effects of liver cirrhosis on drug clearance.

Authors:  Trevor N Johnson; Koen Boussery; Karen Rowland-Yeo; Geoffrey T Tucker; Amin Rostami-Hodjegan
Journal:  Clin Pharmacokinet       Date:  2010-03       Impact factor: 6.447

Review 7.  Curable metastatic colorectal cancer: recommended paradigms.

Authors:  Richard N Berri; Eddie K Abdalla
Journal:  Curr Oncol Rep       Date:  2009-05       Impact factor: 5.075

8.  Portal vein embolization: rationale, technique, and current application.

Authors:  Benjamin J May; David C Madoff
Journal:  Semin Intervent Radiol       Date:  2012-06       Impact factor: 1.513

9.  Ethnic-specific in vitro-in vivo extrapolation and physiologically based pharmacokinetic approaches to predict cytochrome P450-mediated pharmacokinetics in the Chinese population: opportunities and challenges.

Authors:  Guo-Fu Li; Guo Yu; Hong-Xia Liu; Qing-Shan Zheng
Journal:  Clin Pharmacokinet       Date:  2014-02       Impact factor: 6.447

Review 10.  Pediatric pharmacogenomics: a systematic assessment of ontogeny and genetic variation to guide the design of statin studies in children.

Authors:  Jonathan Wagner; J Steven Leeder
Journal:  Pediatr Clin North Am       Date:  2012-08-22       Impact factor: 3.278

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.