Literature DB >> 3732371

Pharmacokinetics of isoniazid: influence of age.

M F Kergueris, M Bourin, C Larousse.   

Abstract

The distribution of the acetylator phenotype of isoniazid was studied in 458 patients of different ages, and the influence of age on its apparent distribution volume, clearance and half-life was investigated in slow and rapid acetylators. The doses of isoniazid for the patients were determined according to the inactivation index method, as described by Vivien. Apparent distribution volume showed no difference between slow and rapid acetylators but it did decrease significantly with age. Clearance and half-life varied significantly in slow acetylators, and these variations led to a decrease in the necessary dose of isoniazid.

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Year:  1986        PMID: 3732371     DOI: 10.1007/bf00541539

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  16 in total

1.  A study of the renal clearances, metabolic inactivation rates, and serum fall-off interaction of isoniazid and paraminosalicylic acid in man.

Authors:  J W JENNE; F M MACDONALD; E MENDOZA
Journal:  Am Rev Respir Dis       Date:  1961-09

2.  Studies of human patterns of isoniazid metabolism using an intravenous fall-off technique with a chemical method.

Authors:  J W JENNE
Journal:  Am Rev Respir Dis       Date:  1960-01

3.  Hepatic drug acetylation and oxidation: effects of aging in man.

Authors:  F Farah; W Taylor; M D Rawlins; O James
Journal:  Br Med J       Date:  1977-07-16

4.  Pharmacokinetics of isoniazid metabolism in man.

Authors:  G A Ellard; P T Gammon
Journal:  J Pharmacokinet Biopharm       Date:  1976-04

5.  Isoniazid dosage in patients with renal failure.

Authors:  D W Bowersox; R H Wintebauer; G L Stewart; B Orme; E Barron
Journal:  N Engl J Med       Date:  1973-07-12       Impact factor: 91.245

6.  Formal genetics of isoniazid metabolism in man.

Authors:  L Iselius; D A Evans
Journal:  Clin Pharmacokinet       Date:  1983 Nov-Dec       Impact factor: 6.447

7.  Pharmacokinetics of isoniazid in the elderly.

Authors:  C Advenier; A Saint-Aubin; C Gobert; G Houin; E Albengres; J P Tillement
Journal:  Br J Clin Pharmacol       Date:  1980-08       Impact factor: 4.335

8.  [Therapeutic consequences of measure of inactivation index of isoniazid during antituberculous therapy (author's transl)].

Authors:  G Houin; J P Tillement
Journal:  Therapie       Date:  1980 Sep-Oct       Impact factor: 2.070

9.  Fluorometric determination of isonicotinic acid hydrazide in serum.

Authors:  E M Scott; R C Wright
Journal:  J Lab Clin Med       Date:  1967-08

Review 10.  Clinical pharmacokinetics of isoniazid.

Authors:  W W Weber; D W Hein
Journal:  Clin Pharmacokinet       Date:  1979 Nov-Dec       Impact factor: 6.447

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  6 in total

Review 1.  Hepatic drug metabolism and aging.

Authors:  C Durnas; C M Loi; B J Cusack
Journal:  Clin Pharmacokinet       Date:  1990-11       Impact factor: 6.447

Review 2.  Clinical pharmacokinetics of antibiotics in patients with impaired renal function.

Authors:  W L St Peter; K A Redic-Kill; C E Halstenson
Journal:  Clin Pharmacokinet       Date:  1992-03       Impact factor: 6.447

3.  N-acetylation in healthy and diseased children.

Authors:  E Hadasová; V Brysová; E Kadlcáková
Journal:  Eur J Clin Pharmacol       Date:  1990       Impact factor: 2.953

4.  Isoniazid pharmacokinetics, pharmacodynamics, and dosing in South African infants.

Authors:  Jennifer J Kiser; Rui Zhu; David Z DʼArgenio; Mark F Cotton; Raziya Bobat; George D McSherry; Shabir A Madhi; Vincent J Carey; Heiner I Seifart; Cedric J Werely; Courtney V Fletcher
Journal:  Ther Drug Monit       Date:  2012-08       Impact factor: 3.681

5.  Human acetylator genotype: relationship to colorectal cancer incidence and arylamine N-acetyltransferase expression in colon cytosol.

Authors:  J W Rodriguez; W G Kirlin; R J Ferguson; M A Doll; K Gray; T D Rustan; M E Lee; K Kemp; P Urso; D W Hein
Journal:  Arch Toxicol       Date:  1993       Impact factor: 5.153

6.  Pharmacokinetic-Pharmacodynamic modelling of intracellular Mycobacterium tuberculosis growth and kill rates is predictive of clinical treatment duration.

Authors:  Ghaith Aljayyoussi; Victoria A Jenkins; Raman Sharma; Alison Ardrey; Samantha Donnellan; Stephen A Ward; Giancarlo A Biagini
Journal:  Sci Rep       Date:  2017-03-29       Impact factor: 4.379

  6 in total

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