Evidence map›Paper›PMID 41545078›Full record

ArticleClinical and translational science2026

Patterns and Outcomes of Poisoning Among Older Adults in Thailand: A Four-Year Retrospective Analysis From the Siriraj Poison Control Center.

Pornchanok Monkaew, Nerisa Thornsri, Pattaraporn Mekavuthikul, Junporn Kongwatcharapong

Abstract read
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

The trial behind it

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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

4 authors.

Pornchanok MonkaewPharmacy Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0009-0008-7302-7729
Nerisa ThornsriClinical Epidemiology Division, Research and Development Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Pattaraporn MekavuthikulDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-6482-8793
Junporn KongwatcharapongPharmacy Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-8979-1018

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poisoning among older adults poses unique challenges due to age-related physiological changes, polypharmacy, and comorbidities. As Thailand transitions to a super-aged society, this study characterizes poisoning patterns in Thai older adults to inform prevention strategies. This retrospective, cross-sectional study analyzed poisoning cases involving patients ≥ 60 years reported to the Siriraj Poison Control Center from 2020 to 2023. Data included demographics, comorbidities, exposure characteristics, clinical features, and outcomes. Among 5146 poisoning cases, 682 (13.3%) involved older adults (median age: 68.5 years). Females accounted for 50.4%, and the 60-69 age group was most affected (53.8%). Comorbidities, primarily cardiovascular diseases, were present in 58.9% of patients. Most exposures were unintentional (74.6%), with nonpharmaceutical agents (54.2%) slightly exceeding pharmaceuticals (45.8%). Common nonpharmaceutical exposures included venomous animals (15.8%), household products (10.2%), and insecticides or rodenticides (7.4%). The most common scenario for unintentional exposure to nonpharmaceuticals was "accidental ingestion of nonedible substances" (41%). Among pharmaceutical exposures, antipsychotics (12.5%), analgesics (8.4%), and cardiovascular agents (5.3%) were most frequent. Unintentional pharmaceutical poisonings (73%) often resulted from adverse drug reactions or interactions (56.8%) or wrong administration route (20.8%). The proportion of fatal cases declined from 2020 to 2023; however, this trend should be interpreted cautiously due to potential confounding factors. Overall, poisoning in Thai older adults is primarily unintentional and often linked to complex medication use and comorbid conditions. These descriptive findings provide baseline information to support future efforts in medication safety, environmental awareness, and mental health promotion for Thailand's aging population.

Indexed as

Poison Control CentersPoisoningAgedAged, 80 and overAge FactorsComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesThailandgeriatric toxicologyolderparaquatpesticidespharmaceuticalspoisoningThailand

Identifiers

PMID41545078
PMCPMC12811060

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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.