Evidence map›Paper›PMID 31444512›Full record

Observational studyEuropean journal of clinical pharmacology2019

Impact of genetic and clinical factors on warfarin therapy in patients early after heart valve replacement surgery.

Boxia Li, Ruisheng Liu, Chengqi Wang, Changan Ren, Shiming Zhang, Fan Zhang, Jianping Zhang, Shidong Liu, Yuhui Wei, Wenjing Liu and 2 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  7. Review
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

12 authors.

Boxia LiDepartment of Pharmacy, The First Hospital of Lanzhou University, Lanzhou, China.
Ruisheng LiuDepartment of Cardiovascular Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Chengqi WangInfectious Diseases Global Health Department, University of South Florida, C.W., Tampa, FL, USA.
Changan RenSchool of Life Science, Lanzhou University, Lanzhou, China.
Shiming ZhangDepartment of Cardiovascular Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Fan ZhangDepartment of Pharmacy, The First Hospital of Lanzhou University, Lanzhou, China.
Jianping ZhangDepartment of Pharmacy, The First Hospital of Lanzhou University, Lanzhou, China.
Shidong LiuDepartment of Cardiovascular Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Yuhui WeiDepartment of Pharmacy, The First Hospital of Lanzhou University, Lanzhou, China.
Wenjing LiuDepartment of Pharmacy, Gansu Provincial Hospital, Lanzhou, China.
Bing SongDepartment of Cardiovascular Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Xinan WuDepartment of Pharmacy, The First Hospital of Lanzhou University, Lanzhou, China. xinanwu6511@163.com.

Funding

Hospital Funds ldyyyn2018-03Science Foundation for Young Scientists of Gansu province 1506RJYA264Wu Jieping Medical Foundation LCYX-Q030/320.6750.19090-40
6 · The paper itself

Abstract

purposeFactors influencing responsiveness to warfarin at treatment onset time were not well identified in Chinese patients undergoing heart valve replacement. We sought to select the most relevant factors that associated with patient response to warfarin early after heart valve surgery.

methodsIn this observational study, 289 patients starting warfarin therapy early after heart valve replacement surgery were enrolled. CYP2C9 *1, *2, *3, and *5; VKORC1-1639 G>A, CYP4F2 V433M, and GGCX rs11676382 genotypes; clinical characteristics, response to therapy, and bleeding and thrombosis events were collected. The primary outcomes were the time to the first INR equal to or more than lower limit of therapeutic range and the warfarin dose requirements. Stepwise multiple linear regression was performed to develop a dosing algorithm to predict the warfarin dose requirements.

resultsThe results of univariate analysis showed lone VKORC1-1639 G>A, CYP2C9 *1/*3, cefazolin, cefoperazone-sulbactam, increased BMI, Δhemoglobin, and white blood cell count could significantly affect patient responsiveness to warfarin in the initial period of anticoagulation. Multivariate analysis resulted in an equation: Accumulated warfarin doses (mg) = 17.068 VKORC1-1639 G>A - 4.261 hypertension + 0.593 BMI - 0.115 age - 4.852 CYP2C9 *1/*3 - 2.617 cefazolin - 4.902 cefoperazone-sulbactam - 4.537, which could explain 40.2% of the variability in warfarin dose needed to reach the first INR equal to or more than lower limit of therapeutic range.

conclusionsBoth genetic and clinical factors contributed to anticoagulation effect of warfarin in the initial period of treatment. Our findings could provide a basis for the personalized management of warfarin use in the early stage of anticoagulation in northern Chinese patients.

Indexed as

AdultAnticoagulantsBlood CoagulationCarbon-Carbon LigasesCytochrome P-450 CYP2C9Cytochrome P450 Family 4FemaleHeart Valve Prosthesis ImplantationHumansMaleMiddle AgedPolymorphism, Single NucleotideThrombosisVitamin K Epoxide ReductasesWarfarinAnticoagulantsCarbon-Carbon LigasesCYP2C9 protein, humanCYP4F2 protein, humanCytochrome P-450 CYP2C9Cytochrome P450 Family 4glutamyl carboxylaseVitamin K Epoxide ReductasesVKORC1 protein, humanWarfarinCefoperazone-sulbactamCYP2C9VKORC1Warfarin

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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.