Cristin-resultat-ID: 2163849
Sist endret: 16. januar 2024, 15:27
NVI-rapporteringsår: 2023
Resultat
Vitenskapelig artikkel
2023

Predicting Environmental Risks of Pharmaceuticals from Wholesale Data: An Example from Norway

Bidragsytere:
  • Samuel A. Welch
  • S. Jannicke Moe
  • Mohammad Nouri Sharikabad
  • Knut-Erik Tollefsen
  • Kristine Olsen og
  • Merete Grung

Tidsskrift

Environmental Toxicology and Chemistry
ISSN 0730-7268
e-ISSN 1552-8618
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2023
Volum: 42
Hefte: 10
Sider: 2253 - 2270
Open Access

Importkilder

Scopus-ID: 2-s2.0-85165640814

Beskrivelse Beskrivelse

Tittel

Predicting Environmental Risks of Pharmaceuticals from Wholesale Data: An Example from Norway

Sammendrag

Environmental risk assessment (ERA) of pharmaceuticals relies on available measured environmental concentrations, but often such data are sparse. Predicted environmental concentrations (PECs), calculated from sales weights, are an attractive alternative but often cover only prescription sales. We aimed to rank, by environmental risk in Norway, approximately 200 active pharmaceutical ingredients (APIs) over 2016–2019, based on sales PECs. To assess the added value of wholesale and veterinary data, we compared exposure and risk predictions with and without these additional sources. Finally, we aimed to characterize the persistence, mobility, and bioaccumulation of these APIs. We compared our PECs to available Norwegian measurements, then, using public predicted-no-effect concentrations, we calculated risk quotients (RQs) and appended experimental and predicted persistence and bioaccumulation. Our approach overestimated environmental concentrations compared with measurements for 18 of 20 APIs with comparable predictions and measurements. Seventeen APIs had mean RQs >1, indicating potential risk, while the mean RQ was 2.05 and the median 0.001, driven by sex hormones, antibiotics, the antineoplastic abiraterone, and common painkillers. Some high-risk APIs were also potentially persistent or bioaccumulative (e.g., levonorgestrel [RQ = 220] and ciprofloxacin [RQ = 56]), raising the possibility of impacts beyond their RQs. Exposure and risk were also calculated with and without over-the-counter sales, showing that prescriptions explained 70% of PEC magnitude. Likewise, human sales, compared with veterinary, explained 85%. Sales PECs provide an efficient option for ERA, designed to overestimate compared with analytical techniques and potentially held back by limited data availability and an inability to quantify uncertainty but, nevertheless, an ideal initial approach for identification and ranking of risks.

Bidragsytere

Samuel Alexander Stafford Welch

Bidragsyterens navn vises på dette resultatet som Samuel A. Welch
  • Tilknyttet:
    Forfatter
    ved Økotoksikologi ved Norsk institutt for vannforskning

Solveig Jannicke Moe

Bidragsyterens navn vises på dette resultatet som S. Jannicke Moe
  • Tilknyttet:
    Forfatter
    ved Økotoksikologi ved Norsk institutt for vannforskning

Mohammad Nouri Sharikabad

  • Tilknyttet:
    Forfatter
    ved Avdeling for legemiddelstatistikk ved Folkehelseinstituttet

Knut-Erik Tollefsen

  • Tilknyttet:
    Forfatter
    ved Økotoksikologi ved Norsk institutt for vannforskning
  • Tilknyttet:
    Forfatter
    ved Miljøvitenskap og naturforvaltning ved Norges miljø- og biovitenskapelige universitet

Kristine Olsen

  • Tilknyttet:
    Forfatter
    ved Avdeling for legemiddelstatistikk ved Folkehelseinstituttet
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