Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs

Abstract Background The susceptibility of microbes such as Plasmodium falciparum to drugs is measured in vitro as the concentration of the drug achieving 50% of maximum effect (IC 50 ); values from a population are summarized as geometric means. For antimalarial drugs, as well as for antibiotics, as...

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Published in:Malaria Journal
Main Authors: Vaillant Michel, Olliaro Piero
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2007
Subjects:
Online Access:https://doi.org/10.1186/1475-2875-6-156
https://doaj.org/article/4b429bf1c09f465fa871a828efbb4f33
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spelling ftdoajarticles:oai:doaj.org/article:4b429bf1c09f465fa871a828efbb4f33 2023-05-15T15:12:30+02:00 Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs Vaillant Michel Olliaro Piero 2007-11-01T00:00:00Z https://doi.org/10.1186/1475-2875-6-156 https://doaj.org/article/4b429bf1c09f465fa871a828efbb4f33 EN eng BMC http://www.malariajournal.com/content/6/1/156 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-6-156 1475-2875 https://doaj.org/article/4b429bf1c09f465fa871a828efbb4f33 Malaria Journal, Vol 6, Iss 1, p 156 (2007) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2007 ftdoajarticles https://doi.org/10.1186/1475-2875-6-156 2022-12-31T08:07:01Z Abstract Background The susceptibility of microbes such as Plasmodium falciparum to drugs is measured in vitro as the concentration of the drug achieving 50% of maximum effect (IC 50 ); values from a population are summarized as geometric means. For antimalarial drugs, as well as for antibiotics, assessing changes in microbe susceptibility over time under drug pressure would help inform treatment policy decisions, but no standard statistical method exists as yet. Methods A mixed model was generated on log e -transformed IC 50 values and calculated geometric least squares means (GLSM) with 90% confidence intervals (CIs). In order to compare IC 50 s between years, GLSM ratios (GLSMR) with 90%CIs were calculated and, when both limits of the 90%CIs were below or above 100%, the difference was considered statistically significant. Results were compared to those obtained from ANOVA and a generalized linear model (GLM). Results GLSMRs were more conservative than ANOVA and resulted in lower levels of statistical significance. The GLSMRs approach allowed for random effect and adjustment for multiple comparisons. GLM was limited in the number of year-to-year comparisons by the need for a single reference year. The three analyses yielded generally consistent results. Conclusion A robust analytical method can palliate inherent limitations of in vitro sensitivity testing. The random effects GLSMRs with adjustment for multiple comparisons and 90%CIs require only assumptions on the mixed model to be applied. Results are easy to display graphically and to interpret. The GLMSRs should be considered as an option for monitoring changes in drug susceptibility of P. falciparum malaria and other microbes. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 6 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
Vaillant Michel
Olliaro Piero
Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs
topic_facet Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
description Abstract Background The susceptibility of microbes such as Plasmodium falciparum to drugs is measured in vitro as the concentration of the drug achieving 50% of maximum effect (IC 50 ); values from a population are summarized as geometric means. For antimalarial drugs, as well as for antibiotics, assessing changes in microbe susceptibility over time under drug pressure would help inform treatment policy decisions, but no standard statistical method exists as yet. Methods A mixed model was generated on log e -transformed IC 50 values and calculated geometric least squares means (GLSM) with 90% confidence intervals (CIs). In order to compare IC 50 s between years, GLSM ratios (GLSMR) with 90%CIs were calculated and, when both limits of the 90%CIs were below or above 100%, the difference was considered statistically significant. Results were compared to those obtained from ANOVA and a generalized linear model (GLM). Results GLSMRs were more conservative than ANOVA and resulted in lower levels of statistical significance. The GLSMRs approach allowed for random effect and adjustment for multiple comparisons. GLM was limited in the number of year-to-year comparisons by the need for a single reference year. The three analyses yielded generally consistent results. Conclusion A robust analytical method can palliate inherent limitations of in vitro sensitivity testing. The random effects GLSMRs with adjustment for multiple comparisons and 90%CIs require only assumptions on the mixed model to be applied. Results are easy to display graphically and to interpret. The GLMSRs should be considered as an option for monitoring changes in drug susceptibility of P. falciparum malaria and other microbes.
format Article in Journal/Newspaper
author Vaillant Michel
Olliaro Piero
author_facet Vaillant Michel
Olliaro Piero
author_sort Vaillant Michel
title Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs
title_short Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs
title_full Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs
title_fullStr Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs
title_full_unstemmed Geometric least squares means ratios for the analysis of Plasmodium falciparum in vitro susceptibility to antimalarial drugs
title_sort geometric least squares means ratios for the analysis of plasmodium falciparum in vitro susceptibility to antimalarial drugs
publisher BMC
publishDate 2007
url https://doi.org/10.1186/1475-2875-6-156
https://doaj.org/article/4b429bf1c09f465fa871a828efbb4f33
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Malaria Journal, Vol 6, Iss 1, p 156 (2007)
op_relation http://www.malariajournal.com/content/6/1/156
https://doaj.org/toc/1475-2875
doi:10.1186/1475-2875-6-156
1475-2875
https://doaj.org/article/4b429bf1c09f465fa871a828efbb4f33
op_doi https://doi.org/10.1186/1475-2875-6-156
container_title Malaria Journal
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