Evidence map›Paper›PMID 36081809›Full record

ArticleInternational journal of clinical practice2022

Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units.

Tong Li, Biwen Hu, Ling Ye, Zeying Feng, Longjian Huang, Chengjun Guo, Xiong Wu, Wei Tan, Yi Wang, Guoping Yang and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 4 institutions in 1 country.

Tong LiCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.ORCID https://orcid.org/0000-0002-9243-0379
Biwen HuCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.
Ling YeCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.
Zeying FengCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.
Longjian HuangYoujiang Medical University for Nationalities, Baise 533000, Guangxi, China.
Chengjun GuoSchool of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006, Guangdong, China.
Xiong WuEasier Data Technologies Co., Ltd, Changsha 410016, China.
Wei TanDepartment of Neonatology, Maternal& Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 53003, Guangxi Zhuang Autonomous Region, China.
Yi WangEasier Data Technologies Co., Ltd, Changsha 410016, China.
Guoping YangCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.ORCID https://orcid.org/0000-0001-5930-586X
Chengxian GuoCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.ORCID https://orcid.org/0000-0002-6332-6716
Central South University · CNGuangdong University of Technology · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNGuangxi Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Children admitted to intensive care units (ICUs) often require multiple medications due to the complexity and severity of their disease, which put them at an increased risk for drug interactions. This study examined cytochrome P450-mediated drug-drug interactions (DDIs) based on the Pediatric Intensive Care (PIC) database, with the aim of analyzing the incidence of clinically significant potential drug-drug interactions (pDDIs) and exploring the occurrence of actual adverse reactions. Methods: The Lexicomp database was used to screen cytochrome P450-mediated DDI pairings with good levels of reliability and clear clinical phenotypes. Patients exposed to the above drug pairs during the same period were screened in the PIC database. The incidence of clinically significant pDDIs was calculated, and the occurrence of adverse reactions was explored based on laboratory measurements. Results: In total, 84 (1.21%) of 6920 children who used two or more drugs were exposed to at least one clinically significant pDDI. All pDDIs were based on CYP3A4, with nifedipine + voriconazole (39.60%) being the most common drug pair, and the most frequent being the J02 class of drugs. Based on laboratory measurements, 15 adverse reactions were identified in 12 patients. Conclusions: Clinically significant cytochrome P450-mediated pDDIs existed in the children admitted to ICUs, and some of the pDDIs led to adverse clinical outcomes. The use of clinical decision support systems can guide clinical medication use, and clinical monitoring of patients' needs has to be enhanced.

Indexed as

HospitalizationIntensive Care UnitsChildCytochrome P-450 Enzyme SystemDrug InteractionsHumansReproducibility of ResultsCytochrome P-450 Enzyme System

Identifiers

PMID36081809
PMCPMC9427250
OpenAlexW4292794562

What OpenQuestion holds

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LicenceCC BY
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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.