| Literature DB >> 35350767 |
Okuyama Jhh1, Galvao Tf2, Silva Mt1.
Abstract
Objective: To assess the cases of paracetamol poisoning in Brazil.Entities:
Keywords: acetaminophen; admission; paracetamol; poisoning; suicide
Year: 2022 PMID: 35350767 PMCID: PMC8957898 DOI: 10.3389/fphar.2022.829547
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Characteristics and strategies for the identification of paracetamol poisoning information in official databases.
| Mortality Information System | Hospital Information System | Brazilian Notifiable Diseases Surveillance System | |
|---|---|---|---|
| Study period | 1996–2019 | 2008–2020 | 2017–2020 |
| Origin of collected data | SUS IT Department (DATASUS)—SIM | DATASUS—SIH | DATASUS—SINAN |
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| National representativeness | Yes | Restricted to SUS | Yes |
| Estimates | All paracetamol-related deaths | All SUS paracetamol-related admissions | All paracetamol poisoning cases treated in health services |
| Definitions adopted | Data processed according to ICD-10: F551; T392; X403; X604; Y105 | Data processed according to ICD-10: F551; T392; X403; X604; Y105 | Circumstance of exposure/contamination: 02 (accidental); 05 (inadequate prescription); 06 (administration error); 07 (self-medication); 08 (abuse); 10 (suicide attempt); 12 (violence/homicide); 13 (other); 99 (ignored) |
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Notes: 1Abuse of non-dependence-producing substances; 2Poisoning by nonopioid analgesics, antipyretics and antirheumatics; 3Accidental poisoning by and exposure to nonopioid analgesics, antipyretics and antirheumatics; 4Intentional self-poisoning by and exposure to nonopioid analgesics, antipyretics and antirheumatics; 5Poisoning by and exposure to nonopioid analgesics, antipyretics and antirheumatics, undetermined intent.
Summary of paracetamol poisoning data obtained from different official records.
| Variables | Mortality (1996–2019) | Admissions (2008–2020) | Poisoning reports (2017–2020) | |||
|---|---|---|---|---|---|---|
| Mean ± SE |
| Mean ± SE |
| Mean ± SE |
| |
| Age (years) | — | <0.001* | — | <0.001* | — | <0.001* |
| <6 | 7.3 ± 1.6 | — | 12.6 ± 0.9 | — | 6.2 ± 0.8 | — |
| 6–16 | 5.1 ± 1.2 | — | 13.4 ± 0.9 | — | 21.5 ± 0.6 | — |
| 17–64 | 71.1 ± 3.0 | — | 69.7 ± 1.4 | — | 71.4 ± 1.2 | — |
| ≥65 | 16.6 ± 2.0 | — | 4.4 ± 0.4 | — | 0.9 ± 0.1 | — |
| Sex | — | 0.611** | — | <0.001** | — | <0.001** |
| Male | 50.9 ± 2.5 | — | 42.9 ± 2.5 | — | 25.8 ± 0.6 | — |
| Female | 49.1 ± 2.5 | — | 57.1 ± 2.5 | — | 74.2 ± 0.6 | — |
| Cause of exposure | — | <0.004*** | — | <0.001*** | — | <0.001*** |
| Suicide | 37.3 ± 2.7 | — | 19.8 ± 4.2 | — | 20.4 ± 1.8 | — |
| Unintentional | 25.7 ± 3.5 | — | 80.2 ± 4.2 | — | 79.6 ± 1.8 | — |
| Not reported/ignored/other | 37.0 ± 3.1 | — | — | — | — | — |
*p value from ANOVA, for age; **p value from ANOVA, for sex; and ***p value from ANOVA, for cause.
FIGURE 1Distribution of paracetamol poisoning cases per million inhabitants reported from 2017 to 2020 in Brazil.