Evidence map›Paper›PMID 22101623›Full record

ArticleEuropean journal of clinical pharmacology2012

The interactions of age, sex, body mass index, genetics, and steroid weight-based doses on tacrolimus dosing requirement after adult kidney transplantation.

P Stratta, M Quaglia, T Cena, R Antoniotti, R Fenoglio, A Menegotto, D Ferrante, A Genazzani, S Terrazzino, C Magnani

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Prolonged-Release Once-Daily Formulation of Tacrolimus Versus Standard-of-Care Tacrolimus inTransplant international : official journal of the European Society for Organ Transplantation · 2022
    Trial
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Adrenal insufficiency is common amongst kidney transplant recipients receiving maintenance prednisolone and can be predicted using morning cortisol.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

P StrattaDepartment of Clinical and Experimental Medicine, Nephrology and Transplantation, and Interdisciplinary Research Center Autoimmune Disease, Amedeo Avogadro University-Maggiore Hospital of Novara, Novara, Italy. strattanefro@hotmail.com
M Quaglia
T Cena
R Antoniotti
R Fenoglio
A Menegotto
D Ferrante
A Genazzani
S Terrazzino
C Magnani
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate the effect of different clinical covariates on tacrolimus dose requirements in adult kidney transplant patients with a specific focus on drug interactions. PATIENTS: Tacrolimus dosing requirement, normalized by drug levels and expressed as the concentration/dose (C/D) ratio as a surrogate index of tacrolimus bioavailability, was employed to identify four categories of tacrolimus dosing requirement, namely, very high, high, small, and very-small, in very fast, fast, slow, and very slow metabolizers, respectively. Steroid weight-based doses were analyzed instead of fixed doses, and genetic analysis of cytochrome P450 (CYP) 3A5*1/*3 and multi-drug resistance 1 (MDR1) C3435T and C1236T polymorphisms were performed

resultsMultivariate analysis on 450 adult transplant patients identified six risk factors for being slow metabolizers and therefore requiring small tacrolimus doses: male sex (OR 1.615, p = 0.020); age >60 years (OR 2.456, p = 0.0005); body mass index ≥ 25 (OR 1.546, p = 0.046), hepatitis C virus positivity (OR 2.800, p = 0.0004); low steroid dose <0.06 mg/kg (OR 3.101, p < 0.0001). Patients with a small tacrolimus requirement were at increased risk for multiple infections (OR 1.533, p = 0.0008) and higher systolic blood pressure (OR 1.385, p = 0.022) and showed a significant association with the CYP3A5*3/*3 genotype adjusted by MDR1 polymorphisms C3435T and C1236T (OR 8.104, p = 0.0001).

conclusionsOur results demonstrate the importance of the interaction among genetic and clinical factors in conditioning tacrolimus disposition, with corticosteroid weight-based dose being the only modifiable risk factor for tacrolimus requirement. As the tacrolimus dosing requirement increases with increasing tacrolimus clearance through concomitant steroid use, undesirable changes in tacrolimus levels may occur when steroid doses are tapered, predominantly in slow metabolizers. This often neglected drug interaction has to be monitored to optimize tacrolimus exposure in kidney transplant patients.

Indexed as

Body Mass IndexPolymorphism, GeneticAdultAge FactorsATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Biological AvailabilityCytochrome P-450 CYP3ADrug InteractionsDrug MonitoringFemaleGenetic Association StudiesGlucocorticoidsGraft RejectionHumansImmunosuppressive AgentsABCB1 protein, humanATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1CYP3A5 protein, humanCytochrome P-450 CYP3AGlucocorticoidsImmunosuppressive AgentsTacrolimus

Identifiers

PMID22101623
OpenAlexW2126744966

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.