Evidence map›Paper›PMID 35701808›Full record

ArticleBMC pharmacology & toxicology2022

Prevalence of potential drug - drug interactions in the cardiothoracic intensive care unit patients in a Chinese tertiary care teaching hospital.

Haitao Wang, Haitao Shi, Na Wang, Yan Wang, Li Zhang, Yujie Zhao, Jiao Xie

Open access · goldAbstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Haitao WangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Haitao ShiDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Na WangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yan WangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Li ZhangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yujie ZhaoDepartment of Intensive Care, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jiao XieDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. xiejiaoxjtu@mail.xjtu.edu.cn.
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith an increasing number of reviews describing clinically significant drug-drug interactions (DDIs), the scope and severity of interactions involving commonly used drugs in cardiothoracic intensive care units (CCUs) remain unclear. This study aims to identify risk factors and determine the incidence of potential DDIs in intensive care units.

methodsDDIs were identified based on the profile of the prescribed drug and classified according to the Micromedex drug interaction database. Potential risk factors associated with DDIs have been identified.

resultsA total of 3193 medication episodes were evaluated, and 680 DDIs (21.3%) were found. A total of 203 patients were recruited into the study, with an average of 3.4 DDIs per patient [95% confidence interval (3.2 - 3.6)]. A total of 84.2% of the patients experienced at least one DDI. Anticoagulant and antiplatelet agents were involved in 33.5% (228/680) of the potential drug - drug interactions in the CCU. Univariate analysis and multiple logistic regression analysis showed that the age of the patient and the number of medications prescribed were significantly correlated with the occurrence of DDIs. In multiple linear regression analysis, the number of DDIs had a significant correlation only with the number of prescription drugs.

conclusionsA high prevalence of DDIs was observed, especially in intensive care units without pharmacist intervention and computerized drug monitoring systems, highlighting the need for active surveillance to prevent potential adverse events.

Indexed as

Hospitals, TeachingIntensive Care UnitsChinaDrug InteractionsHumansPrevalenceTertiary Health CareAdverse drug eventDrug − drug interactionDrug interaction databaseIntensive care unitRisk factor

Identifiers

PMID35701808
PMCPMC9195268
OpenAlexW4282837128

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Registered trials

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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.