Questions? Call 888-624-8373

HARDBACK + PDF
your price: $58.50
add to cart

HARDBACK
list:$49.95
Web:$44.96
add to cart

PDF BOOK
your price: $38.50
add to cart

PDF CHAPTERS
your price: $3.90
select

Rights & Permissions

topleft topright

Saving Lives, Buying Time: Economics of Malaria Drugs in an Age of Resistance (2004)
Board on Global Health (BGH)

Page
271
bottomleft bottomright

The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy.


Saving Lives, Buying Time: Economics of Malaria Drugs in an Age of Resistance

1988), who observed that chloroquine resistance in different sites had one common denominator: the long-term, local use of chloroquine for treatment. Later studies in coastal Kenya, Malawi, Mali and Bolivia found a positive correlation between patterns of drug use and in vitro parasite resistance or the prevalence of mutations linked to resistance (Diourte et al., 1999; Nzila et al., 2000). A recent study in Uganda observed that the prevalence of chloroquine resistance was higher in sites with high-frequency chloroquine use as reflected in detectable chloroquine metabolites in urine (Talisuna et al., 2002b). However, SP resistance was highest in high-transmission sites with relatively low SP use, suggesting that factors in addition to drug pressure influence the spread of SP drug resistance.

The role of drug elimination half-life in the development of parasite resistance has recently been reviewed, and modeled (Hastings et al., 2002). Drugs with long elimination phases are, in essence, “selective filters,” allowing infection by resistant parasites to flourish while the residual drug levels suppress infection by sensitive parasites (Watkins and Mosobo, 1993). Slowly eliminated drugs such as mefloquine (T 1/2=3 weeks) provide such a filter for months after drug administration. The resulting selection pressure can be enormous.

In Kenya, a potent selective pressure for SP resistance was found to operate even under conditions of supervised drug administration and optimal SP dosing (Watkins and Mosobo, 1993). Plasmodium falciparum infections appearing between days 15 and 52 after SP treatment were more likely to exhibit pyrimethamine resistance in vitro. The selective pressure of home-based use of SP (per the WHO strategy of home-based management of fevers) could accelerate the emergence of SP resistance to an even greater degree (Talisuna et al., 2004).

Finally, drug resistant mutant parasites are statistically more likely to emerge from infections involving large numbers of parasites. Such large parasite biomass infections are more common in nonimmune individuals, as demonstrated by the higher prevalence of chloroquine-resistant infections, and chloroquine treatment failures seen in African children compared to adults (Dorsey et al., 2000; Djimde et al., 2001; Talisuna et al., 2002a). Nonimmune patients infected with large numbers of parasites who receive inadequate treatment (either because of poor drug quality, adherence, vomiting of an oral treatment, etc.) are another potent source of resistance. This emphasizes the importance of correct prescribing and good adherence to prescribed drug regimens in slowing the emergence of resistance.

The Relationship between Resistance and Transmission Intensity

Recrudescence and onward transmission of a de novo resistant malaria parasite are essential for the propagation of resistance. Killing the transmis-

Page
271