Literature DB >> 23197105

Estimating the probability of IQ impairment from blood phenylalanine for phenylketonuria patients: a hierarchical meta-analysis.

Christopher J Fonnesbeck1, Melissa L McPheeters, Shanthi Krishnaswami, Mary Louise Lindegren, Tyler Reimschisel.   

Abstract

Though the control of blood phenylalanine (Phe) levels is essential for minimizing impairment in individuals with phenylketonuria (PKU), the empirical basis for the selection of specific blood Phe levels as targets has not been evaluated. We evaluated the current evidence that particular Phe levels are optimal for minimizing or avoiding cognitive impairment in individuals with PKU. This work uses meta-estimates of blood Phe-IQ correlation to predict the probability of low IQ for a range of Phe levels. We believe this metric is easily interpretable by clinicians, and hence useful in making recommendations for Phe intake. The median baseline association of Phe with IQ was estimated to be negative, both in the context of historical (median = -0.026, 95 % BCI = [-0.040, -0.013]) and concurrent (-0.007, [-0.014, 0.000]) measurement of Phe relative to IQ. The estimated additive fixed effect of critical period Phe measurement was also nominally negative for historical measurement (-0.010, [-0.022, 0.003]) and positive for concurrent measurement (0.007, [-0.018, 0.035]). Probabilities corresponding to historical measures of blood Phe demonstrated an increasing chance of low IQ with increasing Phe, with a stronger association seen between blood Phe measured during the critical period than later. In contrast, concurrently-measured Phe was more weakly correlated with the probability of low IQ, though the correlation is still positive, irrespective of whether Phe was measured during the critical or non-critical period. This meta-analysis illustrates the utility of a Bayesian hierarchical approach for not only combining information from a set of candidate studies, but also for combining different types of data to estimate parameters of interest.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23197105     DOI: 10.1007/s10545-012-9564-0

Source DB:  PubMed          Journal:  J Inherit Metab Dis        ISSN: 0141-8955            Impact factor:   4.982


  36 in total

1.  Bayesian meta-analysis, with application to studies of ETS and lung cancer.

Authors:  R L Tweedie; D J Scott; B J Biggerstaff; K L Mengersen
Journal:  Lung Cancer       Date:  1996-03       Impact factor: 5.705

2.  Phenylketonuria in adulthood: a collaborative study.

Authors:  R Koch; B Burton; G Hoganson; R Peterson; W Rhead; B Rouse; R Scott; J Wolff; A M Stern; F Guttler; M Nelson; F de la Cruz; J Coldwell; R Erbe; M T Geraghty; C Shear; J Thomas; C Azen
Journal:  J Inherit Metab Dis       Date:  2002-09       Impact factor: 4.982

3.  Do antidepressants cause suicidality in children? A Bayesian meta-analysis.

Authors:  Eloise E Kaizar; Joel B Greenhouse; Howard Seltman; Kelly Kelleher
Journal:  Clin Trials       Date:  2006       Impact factor: 2.486

4.  Quality of dietary control in phenylketonuric patients and its relationship with general intelligence.

Authors:  M A Vilaseca; N Lambruschini; Lilianne Gómez-López; A Gutiérrez; E Fusté; R Gassió; R Artuch; J Campistol
Journal:  Nutr Hosp       Date:  2010 Jan-Feb       Impact factor: 1.057

5.  Neuropsychology of early-treated phenylketonuria: specific executive function deficits.

Authors:  M C Welsh; B F Pennington; S Ozonoff; B Rouse; E R McCabe
Journal:  Child Dev       Date:  1990-12

6.  Phenylketonuria: diet for life or not?

Authors:  R Cerone; M C Schiaffino; S Di Stefano; E Veneselli
Journal:  Acta Paediatr       Date:  1999-06       Impact factor: 2.299

Review 7.  National Institutes of Health Consensus Development Conference Statement: phenylketonuria: screening and management, October 16-18, 2000.

Authors: 
Journal:  Pediatrics       Date:  2001-10       Impact factor: 7.124

8.  Beta-blockers in congestive heart failure. A Bayesian meta-analysis.

Authors:  J M Brophy; L Joseph; J L Rouleau
Journal:  Ann Intern Med       Date:  2001-04-03       Impact factor: 25.391

9.  Evidence for use of coronary stents. A hierarchical bayesian meta-analysis.

Authors:  James M Brophy; Patrick Belisle; Lawrence Joseph
Journal:  Ann Intern Med       Date:  2003-05-20       Impact factor: 25.391

10.  Visual evoked potentials in phenylketonuria: association with brain MRI, dietary state, and IQ.

Authors:  S J Jones; G Turano; A Kriss; F Shawkat; B Kendall; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-09       Impact factor: 10.154

View more
  5 in total

Review 1.  The complete European guidelines on phenylketonuria: diagnosis and treatment.

Authors:  A M J van Wegberg; A MacDonald; K Ahring; A Bélanger-Quintana; N Blau; A M Bosch; A Burlina; J Campistol; F Feillet; M Giżewska; S C Huijbregts; S Kearney; V Leuzzi; F Maillot; A C Muntau; M van Rijn; F Trefz; J H Walter; F J van Spronsen
Journal:  Orphanet J Rare Dis       Date:  2017-10-12       Impact factor: 4.123

2.  Adult cognitive outcomes in phenylketonuria: explaining causes of variability beyond average Phe levels.

Authors:  Cristina Romani; Filippo Manti; Francesca Nardecchia; Federica Valentini; Nicoletta Fallarino; Claudia Carducci; Sabrina De Leo; Anita MacDonald; Liana Palermo; Vincenzo Leuzzi
Journal:  Orphanet J Rare Dis       Date:  2019-11-28       Impact factor: 4.123

3.  Surface Plasmon Resonance Based on Molecularly Imprinted Polymeric Film for l-Phenylalanine Detection.

Authors:  Duygu Çimen; Nilay Bereli; Adil Denizli
Journal:  Biosensors (Basel)       Date:  2021-01-15

4.  A Retrospective Case Series Analysis of the Relationship Between Phenylalanine: Tyrosine Ratio and Cerebral Glucose Metabolism in Classical Phenylketonuria and Hyperphenylalaninemia.

Authors:  Colm J McGinnity; Daniela A Riaño Barros; Eric Guedj; Nadine Girard; Christopher Symeon; Helen Walker; Sally F Barrington; Mary Summers; Mervi Pitkanen; Yusof Rahman
Journal:  Front Neurosci       Date:  2021-06-17       Impact factor: 4.677

Review 5.  Performance of laboratory tests used to measure blood phenylalanine for the monitoring of patients with phenylketonuria.

Authors:  Stuart J Moat; Danja Schulenburg-Brand; Hugh Lemonde; James R Bonham; Cas W Weykamp; Joanne V Mei; Graham S Shortland; Rachel S Carling
Journal:  J Inherit Metab Dis       Date:  2019-10-02       Impact factor: 4.750

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.