Development of a clinical risk scoring system for artesunate treatment failure prediction in malaria patients

Parasitemia >5 %, impaired consciousness, and female sex were predictive of artesunate treatment failure as defined by WHO clinical criteria. The developed risk scoring system provides a practical tool for identifying high-risk patients requiring intensified monitoring and alternative treatment strategies. These findings are derived from a South Korean cohort and should be interpreted with caution when extrapolated to endemic populations.

Authors

Institutions

Publication Details

Journal
International Journal for Parasitology Drugs and Drug Resistance
Published
2025-10-10
DOI
https://doi.org/10.1016/j.ijpddr.2025.100621
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a clinical risk scoring system for artesunate treatment failure prediction in malaria patients

Hye Sun Gwak, David D. Lee, Jung‐Sun Kim, Dasom Kim et al.
International Journal for Parasitology Drugs and Drug Resistance
Malaria Research and Control
article

Development of a clinical risk scoring system for artesunate treatment failure prediction in malaria patients

Hye Sun Gwak, David D. Lee, Jung‐Sun Kim, Dasom Kim, Yubin Song
article en

Abstract

Parasitemia >5 %, impaired consciousness, and female sex were predictive of artesunate treatment failure as defined by WHO clinical criteria. The developed risk scoring system provides a practical tool for identifying high-risk patients requiring intensified monitoring and alternative treatment strategies. These findings are derived from a South Korean cohort and should be interpreted with caution when extrapolated to endemic populations.

International Journal for Parasitology Drugs and Drug ResistanceVol. 29
Ewha Womans University (KR), Kangwon National University (KR)
Openalex Percentile: Top 62%
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.