Evidence map›Paper›PMID 35633265›Full record

ArticleJNMA; journal of the Nepal Medical Association2022

Potential Drug-drug Interaction among the Patients Admitted in Intensive Care Units of a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Rakesh Ghimire, Pravin Prasad, Subigya Parajuli, Rabin Basnet, Pratik Lamichhane, Nirmal Poudel, Pramesh Sunder Shrestha, Shristi Kharel, Akritee Pokharel, Anish Mudvari

Abstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association, 2022. 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

10 authors.

Rakesh GhimireDepartment of Clinical Pharmacology, Maharajgunj Medical Campus, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Pravin PrasadDepartment of Clinical Pharmacology, Maharajgunj Medical Campus, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Subigya ParajuliManmohan Cardiothoracic Vascular and Transplant Center, Maharajgunj, Kathmandu, Nepal.
Rabin BasnetDepartment of Anesthesiology, Tribhuvan University Teaching Hospital, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Pratik LamichhaneMaharajgunj Medical Campus, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Nirmal PoudelMaharajgunj Medical Campus, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Pramesh Sunder ShresthaDepartment of Anesthesiology, Tribhuvan University Teaching Hospital, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Shristi KharelInternational Friendship Children's Hospital, Maharajgunj, Kathmandu, Nepal.
Akritee PokharelDepartment of Clinical Pharmacology, Maharajgunj Medical Campus, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Anish MudvariDepartment of Clinical Pharmacology, Maharajgunj Medical Campus, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Drug interactions are one of the major contributors to increase hospital stay, inflate health care expenses, and cause serious adverse events and end-organ damage. Patients admitted to the intensive care unit are already critically sick and are at greater risk of these adverse outcomes. The study aimed to find out the prevalence of potential drug-drug interactions in the Intensive Care Units of a tertiary care centre. Methods: A descriptive cross-sectional study was conducted among the patients admitted in the Intensive Care Unit of a tertiary care hospital from April-June 2019. Ethical approval was taken from the Institutional Review Board at the institute (Reference number: 399). Convenience sampling method was used. Data was collected using proforma and potential drug-drug interactions were identified using Lexicomp® drug-interactions version 1.1 (Wolters Kluwer). All the drug interactions identified were classified and the severity scale of interactions was also defined. Statistical Package for the Social Sciences version 17.0 was used for data analysis. Point estimate at 95% Confidence Interval was calculated along with frequency, percentage, mean, standard deviation, and mode. Results: Out of 101 patients, the prevalence of the drug-drug interaction was found to be 90 (89.11%) (83.04-95.18 at 95% Confidence Interval). A total of 490 drug-drug interactions were identified. In severity scale, it was seen that 311 (63.46%) were of moderate severity and 303 (61.83%) of drug interactions were categorised as category C in risk rating. Conclusions: Prevalence of potential drug-drug interactions was higher compared to similar published literature. The most common drug with potential interaction was fentanyl and among pairs was fentanyl plus paracetamol. Keywords: drug interactions; intensive care units; Nepal; software.

Indexed as

FentanylIntensive Care UnitsCross-Sectional StudiesDrug InteractionsHumansTertiary Care CentersFentanyl

Identifiers

PMID35633265
PMCPMC9226745

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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.