1 / 28

Local emission estimates of pharmaceuticals: case study for Lithuania

Local emission estimates of pharmaceuticals: case study for Lithuania. Jolita Kruopien ė Kaunas University of Technology, Institute of Environmental Engineering (APINI). Data on sales / consumption of pharmaceuticals. Sales data in Lithuania in 2005 – from IMS Health

lorie
Télécharger la présentation

Local emission estimates of pharmaceuticals: case study for Lithuania

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Local emission estimates of pharmaceuticals:case study for Lithuania Jolita Kruopienė Kaunas University of Technology, Institute of Environmental Engineering (APINI)

  2. Dataon sales / consumption of pharmaceuticals • Sales data in Lithuania in 2005 – from IMS Health • Further on the data are referred to as “consumption data”.

  3. Dataon sales / consumption of pharmaceuticals • Sales data in Lithuania in 2005 – from IMS Health • Further on the data are referred to as “consumption data”.

  4. Consumption data Mass = (DOT x DDD) / F One substance – single ATC code & single DDD value e.g. fluoxetine ATC code: N06AB03, DDD is: 20 mg.

  5. Consumption data One substance – two or more ATC codes, two or more DDD values The worst case assumption by using the biggest DDD value for calculations  possible overestimation e.g. Finasteride: ATC code D11AX10, DDD = 1 mg, ATC code G04CB0, DDD = 5 mg

  6. Consumption of pharmaceuticals Use of pahamaceuticals: 517 substances. • vitamins (e.g. ascorbic acid), • microelements (e.g. calcium), • substances synthesized in human body (e.g. insuline) • 436 substances remain

  7. Consumption of pharmaceuticals Aspirin: 37681 kg Paracetamol: 14101 kg Amoxicillin: 11148.5 kg Metformin: 10957.5 kg

  8. Load to the environment Emission estimates are a worse worst case scenario assuming • sales figures equal consumption, • outlet from WWTP is the only gate to the environment, • no human metabolism, • no degradation in WWTP.

  9. Load to the environment Emission estimates are a worse worst case scenario assuming • sales figures equal consumption, • outlet from WWTP is the only gate to the environment, • no human metabolism, • no degradation in WWTP.

  10. Load to the environment Emission estimates are a worse worst case scenario assuming • sales figures equal consumption, • outlet from WWTP is the only gate to the environment, • no human metabolism, • no degradation in WWTP.

  11. Load to the environment Emission estimates are a worse worst case scenario assuming • sales figures equal consumption, • outlet from WWTP is the only gate to the environment, • no human metabolism, • no degradation in WWTP.

  12. Load to the environment Emission estimates are a worse worst case scenario assuming • sales figures equal consumption, • outlet from WWTP is the only gate to the environment, • no human metabolism, • no degradation in WWTP.

  13. Load to the environment Emission estimates are a worse worst case scenario assuming • sales figures equal consumption, • outlet from WWTP is the only gate to the environment, • no human metabolism, • no degradation in WWTP. Total load depends on population density only.

  14. Maximum load to the environment

  15. Water basins and major cities in Lithuania

  16. Environmental concentrations Worst case scenario: • PEC values for 147 pharmaceuticals used in Lithuania in 2005 exceed the EU action level of 0.01 mg/l, • i.e. pharmaceuticals used in amount higher than 37.5 kg/year might cause a risk to the environment.

  17. Environmental concentrations Worst case scenario: • PEC values for 147 pharmaceuticals used in Lithuania in 2005 exceed the EU action level of 0.01 mg/l, • i.e. pharmaceuticals used in amount higher than 37.5 kg/year might cause a risk to the environment.

  18. Environmental concentrations Worst case scenario: • PEC values for 147 pharmaceuticals used in Lithuania in 2005 exceed the EU action level of 0.01 mg/l, • i.e. pharmaceuticals used in amount higher than 37.5 kg/year might cause a risk to the environment.

  19. PEC / PNEC • Availability of toxicity data • PNEC calculated for 37 substances • Only 3 pharmaceuticals exceed the PEC/PNEC ratio of 1: • amoxicillin, • ciprofloxacin • spiramycin.

  20. PEC / PNEC • Availability of toxicity data • PNEC calculated for 37 substances • Only 3 pharmaceuticals exceed the PEC/PNEC ratio of 1: • amoxicillin, • ciprofloxacin • spiramycin.

  21. PEC / PNEC • Availability of toxicity data • PNEC calculated for 37 substances • Only 3 pharmaceuticals exceed the PEC/PNEC ratio of 1: • amoxicillin, • ciprofloxacin • spiramycin.

  22. Taking into account metabolism • Even 60-70% of amoxicillin is excreted unchanged in urine. • ~ 35% of ciprofloxacine is excreted in urine as unchanged drug • Spiramycin is mainly excreted by non renal processes. Urinary excretion accounts for ~14% of an administered dose

  23. Taking into account metabolism • Even 60-70% of amoxicillin is excreted unchanged in urine. • ~ 35% of ciprofloxacine is excreted in urine as unchanged drug • Spiramycin is mainly excreted by non renal processes. Urinary excretion accounts for ~14% of an administered dose

  24. Taking into account metabolism • Even 60-70% of amoxicillin is excreted unchanged in urine. • ~ 35% of ciprofloxacine is excreted in urine as unchanged drug • Spiramycin is mainly excreted by non renal processes. Urinary excretion accounts for ~14% of an administered dose

  25. Taking into account treatment in WWTP - About 80% of effluents in Lithuania undergo biological treatment - No biological treatment in Kaunas yet • 60% sorption onto sewage sludge is reported for amoxicillin • 65% of ciprofloxacin was eliminated by sorption, and 30% was detected in the effluent

  26. Taking into account treatment in WWTP - About 80% of effluents in Lithuania undergo biological treatment - No biological treatment in Kaunas yet • 60% sorption onto sewage sludge is reported for amoxicillin • 65% of ciprofloxacin was eliminated by sorption, and 30% was detected in the effluent

  27. Taking into account treatment in WWTP - About 80% of effluents in Lithuania undergo biological treatment - No biological treatment in Kaunas yet • 60% sorption onto sewage sludge is reported for amoxicillin • 65% of ciprofloxacin was eliminated by sorption, and 30% was detected in the effluent

  28. Load of amoxicillin to the environment

More Related