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Ivermectin for COVID-19 in Peru: 14-fold reduction in nationwide excess deaths, p=.002 for effect by state, then 13-fold increase after ivermectin use restricted

Chamie-Quintero et al., OSF Preprints
Mar 2021  
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Ivermectin for COVID-19
4th treatment shown to reduce risk in August 2020
*, now known with p < 0.00000000001 from 100 studies, recognized in 22 countries.
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Analysis of ivermectin use in Peru concluding that ivermectin most likely caused a 14 times reduction in excess deaths in Peru, prior to a 13 times increase after reversal of ivermectin use. Authors conclude that the results strongly suggest that ivermectin can complement vaccination. They note that the potential mechanism of action, competitive binding with the SARS-CoV-2 spike protein, is likely to be non-epitope specific, possibly maintaining efficacy against emerging mutant strains.
Chamie-Quintero et al., 8 Mar 2021, preprint, 3 authors.
This PaperIvermectinAll
Ivermectin for COVID-19 in Peru: 14-fold reduction in nationwide excess deaths, p < 0.002 for effect by state, then 13-fold increase after ivermectin use restricted
Juan J Chamie-Quintero, DDS, MRCDC Jennifer A Hibberd, PhD David E Scheim
Objective. We aimed to identify mortality trends associated with COVID-19 deaths in Peru during April through November 2020, when mass treatments with ivermectin (IVM), a drug of Nobel Prize-honored distinction, were autonomously deployed at different times and to different extents in Peru's 25 states under a national policy that authorized these treatments. Design. Ecological study of publicly available data. Excess deaths were analyzed state by state. To identify potential confounding factors, Google mobility data, population densities, SARS-CoV-2 genetic variations, seropositivity rates and other auxiliary data were also examined. Primary outcome. Reductions in excess deaths, state by state, as compared with extent and time period of IVM treatments. Participants. The study population was restricted to ages ≥ 60 to eliminate confounding effects of changing age distributions of COVID-19 incidence. Results. The 25 states of Peru were grouped by extent of IVM distributions: maximal (mass IVM distributions through operation MOT, a broadside effort led by the army); medium (locally managed IVM distributions); and minimal (restrictive policies in one state, Lima). The mean reduction in excess deaths 30 days after peak deaths was 74% for the maximal IVM distribution group, 53% for the medium group and 25% for Lima. Reduction of excess deaths correlated with extent of IVM distribution by state with p<0.002 using the Kendall τb test. Nationwide, excess deaths decreased 14-fold over four months through December 1, 2020, after which deaths then increased 13-fold when IVM use was restricted under a new president. Conclusion. Mass treatments with IVM, a drug safely used in 3.7 billion doses worldwide since 1987, most likely caused these reductions in deaths during the time periods in which it was deployed. The indicated biological mechanism of IVM, competitive binding with SARS-CoV-2 spike protein, is likely non-epitope specific, possibly yielding full efficacy against emerging viral mutant strains. STRENGTHS AND LIMITATIONS OF THIS STUDY • The potential impact of mass IVM treatments in Peru, conducted autonomously in its 25 states, was analyzed using publicly accessible mortality data from national health sources. • The extent of IVM distributions in Peru's 25 states could be categorized in three tiers: intensive (through operation MOT, an army-led effort), moderate (locally managed), and restricted. • The correlation of extent of IVM treatments with reductions in excess deaths 30 days after peak deaths was found highly significant using the Kendall τb test. For nine MOT states that had a unique MOT start date, sharp reductions in deaths closely followed IVM treatments. • Confounding factors were ruled out by restricting analyses of deaths to ages ≥ 60, by comparing mortality trends with Google community mobility indices, and by examining other auxiliary data such as seropositivity rates. • This analysis is limited by its ecological study design,..
Contributors JJC located and extracted the data for this analysis from Peruvian national databases and other sources, developed the analytical approach and performed the main analyses. DES performed additional analyses, including that for the Kendall tau calculation. JAH coordinated the refinement of this manuscript from an earlier version and contributed to the interpretation of the results. All authors participated in drafting this manuscript and edited and approved the final version. Funding: Juan J. Chamie was funded by the Front Line COVID-19 Critical Care Alliance, a nonprofit organization. Competing Interests: None declared. Patient consent for publication: Not required; no patients were involved in this study. Ethics committee approval: Given the study design and the use of publicly available data, no ethical approval was considered necessary. Abbreviations IVM: ivermectin MOT: Mega-Operación Tayta
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