pLDH to identify severity in imported malaria: Implementing smartphone video analysis for rapid clinical decision-making

Malaria is the main parasitic disease-causing death in endemic and non-endemic regions. Imported malaria cases face an elevated risk of severe disease, but non-specific clinical presentations and limited clinician experience often delay diagnosis, prognosis and treatment. Quantification of parasite biomarkers by lateral flow assays (LFAs) could address this challenge. We conducted a retrospective cohort study of patients with imported Plasmodium falciparum malaria and non-malarial fevers. Using a bead-based multiplex immunoassay and commercial LFAs, we evaluated the diagnostic and severity assessment capabilities of two parasite biomarkers: Plasmodium falciparum histidine-rich protein-2 (PfHRP2) and pan-specific lactate dehydrogenase (pan-pLDH). To improve the speed and objectivity of LFA interpretation, we used smartphone-based image- and video-analysis. The bead-based immunoassay showcased an excellent diagnostic performance for PfHRP2 and pan-pLDH, while revealing PfHRP2 and pan-pLDH as promising severity biomarkers. On LFAs, PfHRP2 maintained perfect diagnostic accuracy, compared to pan-pLDH. Notably, pan-pLDH excelled in identifying severe malaria cases, outperforming PfHRP2. Smartphone-based video-analysis reduced testing time to under 6 min and maintained pan-pLDH's performance in detecting severe malaria. Our study underscores the potential of pan-pLDH as a valuable biomarker for severity assessment in imported Plasmodium falciparum malaria cases, particularly in non-endemic settings where rapid clinical decisions are critical.

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Publication Details

Journal
Biosensors and Bioelectronics
Published
2025-11-20
DOI
https://doi.org/10.1016/j.bios.2025.118228
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
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article

pLDH to identify severity in imported malaria: Implementing smartphone video analysis for rapid clinical decision-making

Leire Balerdi-Sarasola, Claudio Parolo, Pedro Fleitas, Paula Petrone et al.
Biosensors and Bioelectronics
Malaria Research and Control
article

pLDH to identify severity in imported malaria: Implementing smartphone video analysis for rapid clinical decision-making

Leire Balerdi-Sarasola, Claudio Parolo, Pedro Fleitas, Paula Petrone, José Muñóz, Carme Subirà, Gerard Paolo F Villanueva, Miriam J. Álvarez-Martínez, Alfons Jiménez, Alfredo Mayor, Daniel Camprubí-Ferrer, Julia Pedreira-Rincón
article en

Abstract

Malaria is the main parasitic disease-causing death in endemic and non-endemic regions. Imported malaria cases face an elevated risk of severe disease, but non-specific clinical presentations and limited clinician experience often delay diagnosis, prognosis and treatment. Quantification of parasite biomarkers by lateral flow assays (LFAs) could address this challenge. We conducted a retrospective cohort study of patients with imported Plasmodium falciparum malaria and non-malarial fevers. Using a bead-based multiplex immunoassay and commercial LFAs, we evaluated the diagnostic and severity assessment capabilities of two parasite biomarkers: Plasmodium falciparum histidine-rich protein-2 (PfHRP2) and pan-specific lactate dehydrogenase (pan-pLDH). To improve the speed and objectivity of LFA interpretation, we used smartphone-based image- and video-analysis. The bead-based immunoassay showcased an excellent diagnostic performance for PfHRP2 and pan-pLDH, while revealing PfHRP2 and pan-pLDH as promising severity biomarkers. On LFAs, PfHRP2 maintained perfect diagnostic accuracy, compared to pan-pLDH. Notably, pan-pLDH excelled in identifying severe malaria cases, outperforming PfHRP2. Smartphone-based video-analysis reduced testing time to under 6 min and maintained pan-pLDH's performance in detecting severe malaria. Our study underscores the potential of pan-pLDH as a valuable biomarker for severity assessment in imported Plasmodium falciparum malaria cases, particularly in non-endemic settings where rapid clinical decisions are critical.

Biosensors and BioelectronicsVol. 294
Universitat Pompeu Fabra (ES), Barcelona Supercomputing Center (ES), Departament de Salut (ES), Manhiça Health Research Centre (MZ), Barcelona Institute for Global Health (ES), Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES), Universitat Rovira i Virgili (ES), Universitat de Barcelona (ES), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 54%
Malaria Research and Control
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