[An analysis of 4695 acute poisoning cases in Tianjin-Heibei from 2020-2022].

<b>Objective:</b> To study and analyze the epidemiological regularity of acute poisoning in Tianjin-Hebei region from 2020 to 2022, and to provide reference for the treatment and prevention of related patients. <b>Methods:</b> In December 2023, the analysis results and clinical data of 4695 patients with drug poisoning from January 2020 to December 2022 in multiple centers of Tianjin-Hebei region were collected as research objects. Gender, age, type of drug poisoning, season and poisoning route of the research objects were analyzed, and statistical analysis was conducted as well. <b>Results:</b> The sex ratio of men and women was 1∶1.16 (2173/2522). The poisoning of antidepressants and benzodiazepines were the most common drug poisonings, accounting for 1550 and 1274 cases respectively (33%, 27.1%). Paraquat poisoning has decreased year by year, while the poisonings of herbicides with low toxicity such as diquat, glyphosate and cremart have increased. The number of cases reached a peak during May to August which was the poisoning season, while was relatively fewer during October to December. <b>Conclusion:</b> Effective intervention measures should be taken according to the age of high incidence of poisoning, different seasons and populations. Essential drug poisoning prevention measures should be established and improved. The systems of sedative drug management and use should be established, and pesticide management and storage need to be strengthened.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2024-08-20
DOI
https://doi.org/10.3760/cma.j.cn121094-20231202-00142
Citations
1
Primary Topic
Paraquat toxicity studies and treatments
Type
article
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[An analysis of 4695 acute poisoning cases in Tianjin-Heibei from 2020-2022].

Shigui Du, Z R Chen, Yibo Zhao, Z J Sun
1 citations
PubMed
Paraquat toxicity studies and treatments
article

[An analysis of 4695 acute poisoning cases in Tianjin-Heibei from 2020-2022].

Shigui Du, Z R Chen, Yibo Zhao, Z J Sun
article en
1 citations

Abstract

<b>Objective:</b> To study and analyze the epidemiological regularity of acute poisoning in Tianjin-Hebei region from 2020 to 2022, and to provide reference for the treatment and prevention of related patients. <b>Methods:</b> In December 2023, the analysis results and clinical data of 4695 patients with drug poisoning from January 2020 to December 2022 in multiple centers of Tianjin-Hebei region were collected as research objects. Gender, age, type of drug poisoning, season and poisoning route of the research objects were analyzed, and statistical analysis was conducted as well. <b>Results:</b> The sex ratio of men and women was 1∶1.16 (2173/2522). The poisoning of antidepressants and benzodiazepines were the most common drug poisonings, accounting for 1550 and 1274 cases respectively (33%, 27.1%). Paraquat poisoning has decreased year by year, while the poisonings of herbicides with low toxicity such as diquat, glyphosate and cremart have increased. The number of cases reached a peak during May to August which was the poisoning season, while was relatively fewer during October to December. <b>Conclusion:</b> Effective intervention measures should be taken according to the age of high incidence of poisoning, different seasons and populations. Essential drug poisoning prevention measures should be established and improved. The systems of sedative drug management and use should be established, and pesticide management and storage need to be strengthened.

PubMedVol. 42(8)
Tianjin University of Science and Technology (CN), Chinese People's Armed Police Force Medical College Affiliated Hospital (CN)
Good health and well-being
Paraquat toxicity studies and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.