Statistical Analysis of Determinants of Arv Drug Toxicity

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One of the many challenges related to the implementation of antiretroviral therapy (ART) is the occurrence of toxicity. Drug toxicity may lead to drug substitution, morbidity and mortality risk factors of HIV/AIDS patients. The objective of this study was to investigate the risk factors associated with toxicity occurrences among HIV/AIDS patients based on data obtained from Dilla and Hawassa Referral Hospitals recorded from June 2007 - June 2009. Logistic and multiple regression methods were applied. The results of the analysis was discussed: the occurrence of toxicity, the causes of change in drug regimen, the main risk factors associated with drug change and the risk of being toxic, predictors affecting the base function status, factors that affected CD4 count, CD8 count, Base line functional status and Base line WHO clinical stage of patients. The analysis would help physicians shed some light on toxicity and its causes, and would be useful in determining the effect of drug regimen and development of new regimens, or anyone else who may be study on drug toxicity. Finally, this book is also helping how to apply statistical concepts.

Autorentext

The researcher was born in Negelle Borena town in the 12th of Oct, 1976. He attended his primary and junior education at Atse Kaleb primary and junior school and high school education at Negelle Borena and Dilla comprehensive Senior Secondary School. He has got MA degree from Hawassa University in Applied statistics and working Dilla university.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783848445097
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H220mm x B150mm x T6mm
    • Jahr 2012
    • EAN 9783848445097
    • Format Kartonierter Einband
    • ISBN 3848445093
    • Veröffentlichung 19.06.2012
    • Titel Statistical Analysis of Determinants of Arv Drug Toxicity
    • Autor Anteneh Bezabih
    • Untertitel Change of Drug Regimens Among Hiv/Aids Patients
    • Gewicht 161g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 96
    • Genre Mathematik

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