Evidence map›Paper›PMID 42348143›Full record

ArticleDrugs - real world outcomes2026

Assessment of Potential Drug-Drug Interactions and Associated Factors Among Pulmonary Inpatients in a Tertiary Care Hospital: A Cross-Sectional Study.

Nim Bahadur Dangi, Hari Prasad Sapkota, Gobinda Kandel, Krishna Prasad Sapkota

Abstract read
In one paragraph

Article in Drugs - real world outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Nim Bahadur DangiSchool of Health and Allied Sciences, Pokhara University, Pokhara, Nepal. dcnim2@gmail.com.ORCID http://orcid.org/0000-0003-1501-9196
Hari Prasad SapkotaShree Medical and Technical College, Bharatpur, Chitwan, Nepal.
Gobinda KandelBharatpur Hospital, Chitwan, Nepal.
Krishna Prasad SapkotaSchool of Health and Allied Sciences, Pokhara University, Pokhara, Nepal.

Funding

University Grants Commission- Nepal FRG-80/81-HS-07
6 · The paper itself

Abstract

backgroundPotential Drug-drug interactions (pDDIs) are a significant cause of adverse drug events and can compromise treatment outcomes, especially in hospitalized patients who are prescribed multiple medications. Pulmonary patients are especially vulnerable due to polypharmacy and the presence of multiple co-morbid conditions. This study aimed to determine the prevalence of pDDIs and identify associated risk factors among hospitalized pulmonary patients.

methodsA cross-sectional study was conducted among pulmonary patients admitted to a tertiary care hospital in Nepal between July 2024 and December 2025. Patients with a hospital stay of ≥ 24 h and receiving two or more medications were included. Data on socio-demographics, clinical conditions, and medications were collected using a structured form. pDDIs were identified using Lexicomp and IBM Micromedex. Descriptive statistics, bivariate analysis, and binary logistic regression were performed using SPSS V16, with p < 0.05 considered statistically significant.

resultsOut of 377 patients who met the inclusion criteria, Lexicomp and Micromedex identified 36.1% and 19.9% pDDIs, respectively. A moderate agreement was observed between Lexicomp and Micromedex in identifying pDDIs (Cohen's Kappa = 0.547). Micromedex classified most interactions as major (53.33%), while Lexicomp classified 66.18% as major severity; however, these classifications were based on screening databases and not confirmed clinical adverse events. Polypharmacy, longer hospital stays, presence of co-morbidities, alcohol consumption, and advanced age were significantly associated with an increased risk of pDDIs.

conclusionpDDIs are prevalent among hospitalized pulmonary patients and are closely linked to polypharmacy and complex clinical profiles. Routine medication review and the use of drug interaction screening tools are essential to minimize the risk of harmful interactions.

Identifiers

PMID42348143
PMCPMC13570870

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.