Efficacy of dihydroartemisinin-piperaquine to prevent malaria and complication-related malaria during pregnancy compared to sulfadoxine-pyrimethamine: a systematic review, meta-analysis, and meta-regression.
Artha Maressa Theodora Simanjuntak, Frengki Prabowo Saputro Wijayanto, Randika Taufiq Hari Nugraha, Firman Hanif Prathama, Roy Novri Ramadhan, Taufik Mulya Perdana, Jonathan Hasian Haposan, Annisa Dewi Nugrahani, Yovita Hartantri, Sidik Maulana
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Abstract
This study aimed to evaluate the efficacy of DHP as an alternative to SP for the prevention of malaria and malaria-related complications during pregnancy. A systematic review and meta-analysis were conducted using pooled effect sizes extracted from published studies. Compared to SP, DHP significantly reduced maternal malaria infection by 78% (RR 0.22, 95% CI: 0.09-0.55), placental malaria infection by 73% (RR 0.27, 95% CI: 0.08-0.98), and maternal anaemia by 16% (RR = 0.84, 95% CI: 0.79-0.89). Women randomized to the DHP arm had a 28% lower risk of foetal loss (RR 0.72, 95% CI: 0.40-1.31), a 4% lower risk of low birth weight (RR 0.96, 95% CI: 0.69-1.32), and a 17% lower risk of preterm births compared with those receiving SP (RR 0.83, 95% CI: 0.61-1.13), though the reduction was not statistically significant. Therefore, DHP appears to be more effective than SP as IPTp therapy for reducing maternal malaria infection, placental malaria infection, and maternal anaemia. However, this study does not significant advantage of DHP over SP in reducing adverse birth outcomes.
期刊介绍:
Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.