Evidence map›Paper›PMID 31728349›Full record

ArticleJournal of research in pharmacy practice

Drug Therapeutic Failures as a Cause of Admission to an Intensive Care Unit at a University Hospital.

Jair Antonio Ruiz-Garzon, Camilo Andrés Rojas-Velandia, Carlos-Alberto Calderon-Ospina

Abstract read
In one paragraph

Article in Journal of research in pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jair Antonio Ruiz-GarzonDepartment of Biomedical Sciences, Pharmacology Unit, Universidad del Rosario, Bogotá, Colombia.
Camilo Andrés Rojas-VelandiaDepartment of Biomedical Sciences, Pharmacology Unit, Universidad del Rosario, Bogotá, Colombia.
Carlos-Alberto Calderon-OspinaDepartment of Biomedical Sciences, Pharmacology Unit, Universidad del Rosario, Bogotá, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDrug therapeutic failures (TFs) are included in pharmacovigilance reporting, as some authors consider them a type of adverse drug reaction. Given their high frequency in Colombia, we studied their importance as a cause of admission to an intensive care unit (ICU).

methodsThis was a cross-sectional observational study. Clinical records of patients who arrived at the emergency service of a third-care level university hospital were reviewed. Information was collected by a resident in clinical toxicology, and each case was validated and analyzed by a research team using the algorithm proposed by Vaca González and Schumock and Thornton criteria for preventability to evaluate the existence of possible medication errors.

findingsIn total, 697 clinical records were evaluated and 18 patients presented TFs (2.6%, 95% confidence interval 1.5%-4.1%) as the cause of admission to the ICU. The most frequent TFs were seizures (56%) and hypertension (28%). The most commonly associated medications were valproic acid (28%) and losartan (28%). Ten cases (56%) were associated with drug misuse and the same number of cases was preventable, according to Schumock and Thornton criteria.

conclusionThis is the first study assessing TFs as a cause of admission to the ICU in the Colombian population. The frequency of TFs in our study was similar to that described in the literature; being the most common cause the inappropriate drug use, particularly for drugs with complex kinetics, such as antiepileptic drugs.

Indexed as

Drug-related side effects and adverse reactionsintensive care unitspatient admissionspharmacovigilancepostmarketingproduct surveillance

Identifiers

PMID31728349
PMCPMC6830022

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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.