Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Performance of BIOCREDIT Pf/Pv lactate dehydrogenase-based malaria rapid diagnostic test among pregnant women with suspected malaria infection in Bahir Dar City Administration, northwest Ethiopia

  • Banchamlak Tegegne ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Writing – original draft, Writing – review & editing

    banteg92@gmail.com

    Affiliations Biology Department, Science College, Bahir Dar University, Bahir Dar, Ethiopia, Amhara Public Health Institute, Bahir Dar, Ethiopia

  • Endalkachew Nibret,

    Roles Data curation, Formal analysis, Supervision, Writing – review & editing

    Affiliation Biology Department, Science College, Bahir Dar University, Bahir Dar, Ethiopia

  • Abaineh Munshea,

    Roles Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliation Biology Department, Science College, Bahir Dar University, Bahir Dar, Ethiopia

  • Mekonnen Teferi,

    Roles Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliation Armauer Hansen Research Institute, Addis Ababa, Ethiopia

  • Mulat Yimer,

    Roles Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Medical Laboratory Science, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia

  • Getaneh Alemu,

    Roles Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Medical Laboratory Science, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia

  • Delenasaw Yewhalaw,

    Roles Formal analysis, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliations School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia, Tropical and Infectious Diseases Research Center, Institute of Health, Jimma University, Jimma, Ethiopia

  • Dylan R. Pillai

    Roles Formal analysis, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliation Pathology and Laboratory Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada

Abstract

Background

Malaria during pregnancy is a common public health problem in sub-Saharan Africa. It poses a double burden as it affects the health of mothers, their fetuses and neonates. Moreover, due to malaria parasites sequestration in the placenta, microscopy might miss infections. Hence, rapid diagnostic tests (RDTs) are good alternatives for diagnosing malaria in pregnancy even at health facilities or periphery or lower-level healthcare facilities (e.g., health posts). However, performance of RDTs should be closely monitored as their sensitivity and specificity are affected by many factors.

Methods

A health facility-based cross-sectional study was conducted among 302 pregnant women with suspected malaria infection to evaluate the performance of the newly introduced BIOCREDIT Pf/Pv plasmodial lactate dehydrogenase (pLDH) RDT. Venous blood samples were collected from all eligible pregnant women and tested for Plasmodium infection using BIOCREDIT Pf/Pv and CareStart™ Pf/Pv RDTs, microscopy and polymerase chain reaction (PCR) following standard protocols. The performance of BIOCREDIT Pf/Pv was evaluated using the following parameters: sensitivity, specificity, positive and negative predictive values and kappa-value. These parameters were calculated using online SISA software.

Results

Of the 302 pregnant women with complete data, 166 (55.0%), 180 (59.6%), 191 (63.2%) and 207 (68.5%) tested positive by CareStart™ Pf/Pv, BIOCREDIT Pf/Pv, microscopy and PCR, respectively. The sensitivity of BIOCREDIT Pf/Pv in detecting P. falciparum was 89.4%, 75.4% and 55.6% as compared to CareStart™ Pf/Pv, microscopy and PCR tests, respectively, while the sensitivity for P. vivax was 81.8%, 84.3% and 86.7%, respectively. The specificity of BIOCREDIT Pf/Pv was > 90% when compared to all the three diagnostic tests. When considering PCR as a reference test, BIOCREDIT Pf/Pv was more sensitive (55.6%) than CareStart™ Pf/Pv (37.6%) for detecting P. falciparum but had similar sensitivity (86.7%) in detecting P. vivax.

Conclusions

BIOCREDIT Pf/Pv performed better for the diagnosis of P. falciparum infection in pregnant women than the previously in-use CareStart™ Pf/Pv. We recommend using the BIOCREDIT Pf/Pv RDT in Ethiopia for the diagnosis of both species given the high prevalence and widespread nature of the hrp2/3 gene deletion in the country.

Background

Malaria is a protozoan disease caused by Plasmodium species and transmitted mainly via the bite of female Anopheles mosquitoes [1]. According to the World Health Organization (WHO), 2023 report, an estimated 263 million cases and 597,000 deaths due to malaria were reported [2]. Despite malaria affecting all population segments, pregnant women and children under-five are the most vulnerable groups. In 2022, 12.7 million pregnant women were exposed to malaria during pregnancy in the WHO African region [3]. Malaria during pregnancy is associated with several adverse maternal, fetal, and neonatal outcomes such as maternal anaemia, miscarriage, preterm delivery and low birth weight [4,5].

Ethiopia is one of the malaria-endemic countries in Africa, and nearly 52% of the population is at risk of malaria infection [6]. Plasmodium falciparum is the predominant species accounting for 70% and P. vivax accounting for 30% with rare reports on P. ovale and P. malariae [1]. Previous reports showed that the Amhara Region of Ethiopia accounted for 31% of Ethiopia’s malaria burden, and 80% of its land mass is receptive to malaria transmission [1,6]. From September to December 2024, a malaria outbreak had occurred in 34 districts of the region [unpublished data].

Based on the recent National Malaria Elimination Guideline of Ethiopia, malaria vector control, surveillance and response, advocacy, communication, social mobilization and early diagnosis and treatment are the four pillars in the malaria control program [1]. Hence, of the malaria control methods, accurate laboratory diagnosis and effective treatment is key in reducing morbidity and mortality [1,7]. In addition, according to the WHO recommendation, all suspected cases of malaria should be diagnosed before treatment [8]. Laboratory diagnosis of malaria can be done routinely using microscopy and rapid diagnostic tests (RDTs), and molecular methods as a confirmatory test. Microscopy and RDTs have been widely used in clinical settings for many years. Even if microscopy is the gold standard test, RDTs are recommended in areas where microscopic examination cannot be performed [9,10]. Moreover, RDTs may be a better diagnostic tool for use in pregnant women, as much of P. falciparum sequesters in the placenta and therefore may not be detected on a standard smear, producing false-negative results if diagnosis is based on microscopy alone [11].

Although there are several brands of malaria RDTs available in the market, P. falciparum-specific histidine–rich protein 2 (PfHRP2) and species-specific lactate dehydrogenase (LDH) based RDTs are the commonly used target antigens for malaria laboratory diagnosis [10]. However, several factors like improper storage and packaging, poor product design, host immune response and parasitic genetic variation could affect the RDTs’ performance. Moreover, current reports from Ethiopia and the Amhara Region in particular showed that there has been a pfhrp2 deletion that hampered PfHRP2 laboratory diagnosis for P. falciparum [1215]. The WHO also recommends that the diagnostic strategy needs to be changed from RDTs that exclusively detect HRP2 to non-HRP2, when the prevalence of the pfhrp2 gene deletion is ≥ 5% [16]. Based on the above evidence, the Ethiopian Ministry of Health switched from HRP2-based RDTs to lactate dehydrogenase (pLDH)-based RDTs targeting the plasmodial lactate dehydrogenase (pLDH) specific for P. falciparum and P. vivax (RapiGEN BIOCREDIT Malaria Ag Pf/Pv pLDH/ pLDH) at the beginning of the year 2024. Therefore, this study aimed to evaluate the diagnostic performance of this alternative RDT among pregnant women with suspected malaria infection in Bahir Dar City Administration, Amhara Region, northwest Ethiopia.

Materials and methods

Study area, design and period

A health facility-based cross-sectional study was conducted from September to November 2024 at Addis Alem Hospital and Bahir Dar Health Center in Bahir Dar City Administration, northwest Ethiopia. According to the Central Statistical Agency of Ethiopia, Bahir Dar City Administration had a total population of 313515, of whom 156870 and 156544 were males and females, respectively. Bahir Dar is located at an altitude ranging from 1722 to 2026 meters above sea level. The city is located approximately 578 km northwest of Addis Ababa and malaria transmission is seasonal, with major and minor transmissions occurring from September to December and April to June, respectively [17].

Sample size determination

Sample size was calculated using the Buderer’s formula for diagnostic test studies [18].

Study participants: n = (Z2 SN (1 − SN))/d2

Where n = sample size.

z = 95% statistic for level of confidence (Z = 1.96).

SN = Sensitivity = 75% from WHO recommendation of minimum sensitivity for any malaria RDT [19].

d = margin of error tolerated (d = 0.07).

n = ((1.96)2 × 0.75(1 − 0.75))/(0.05)2 = 288.

After adding 10% (29) to compensate for non-respondents, a total of 317 pregnant women with suspected malaria infection were recruited for the study.

Sampling technique

The two health institutions (Addis Alem Hospital and Bahir Dar Health Center) were selected purposively for data collection based on the malaria case flow and proximity to Amhara Public Health Institute, where the laboratory tests (RDT, microscopy and polymerase chain reaction (PCR)) were performed. A sample size of 168 and 134 were proportionally allocated to Addis Alem Hospital and Bahir Dar Health Center, respectively based on the case flow. After estimating (from previous year’s data) the total number of suspected pregnant mothers expected to visit the data collection sites, a sampling interval (k) was calculated, and a systematic random sampling technique was used to select study participants. The first participant was selected by lottery method among the first k pregnant women with suspected malaria infection, and then every kth woman was enrolled in the study. Participants were traced at the antenatal care clinic in both health facilities.

All consenting pregnant women (confirmed by human chorionic gonadotropin hormone test or ultrasound) who fulfilled the clinical case definition for malaria [1] and visited the data collection health facilities during the data collection period were included in the study. Critically ill women who were unable to communicate, those who had taken anti-malaria drugs within four weeks prior to data collection, those who had taken antibiotic or any anti-pain drugs within 24 hours prior to data collection were excluded from the study.

Sample collection and processing

Sample collection.

About 1 ml of venous blood sample was collected from the cubital vein of each participant in EDTA tube following the standard venous blood collection procedure. Samples were transported to Amhara Public Health Institute for malaria diagnosis by microscopy, RDTs and PCR.

Microscopic examination.

Both thick and thin blood smears were prepared and labeled properly. After air-drying, thin films were fixed with absolute methanol for five seconds while both thin and thick films were stained with freshly prepared 10% Giemsa working solution diluted with buffered water (PH 7.1–7.2) for 10 min, and examined under 100 × objective. Thick smears were examined to detect Plasmodium parasites, while thin smears were used to identify species [20].

Malaria diagnosis by RDTs.

It is well known that malaria RDTs diagnose malaria antigens from the blood of infected patients. In this study, CareStart™ Pf/Pv (HRP2/pLDH) Ag Combo RDT (USA, RMVM-02591, 2025/02/20) specifically targets PfHRP2 expressed by P. falciparum and lactate dehydrogenase specific to P. vivax in human whole blood and BIOCREDIT Pf/Pv (pLDH/pLDH) RDT (Republic of Korea, H016D022D, 2026/03/27) targeting the plasmodial lactate dehydrogenase (pLDH) specific for P. falciparum and P. vivax were used. Manufacturers’ instructions and quality control measures were strictly followed. Briefly, for CareStart™ Pf/Pv Malaria RDT, five microliters of blood samples were added using a micropipette to the sample well and two drops (60 μl) of buffer solution were added to the buffer well and results were read just after 20 minutes. For BIOCREDIT Pf/Pv (pLDH/pLDH) RDT, five microliters of blood samples were added using micropipette to the sample well and three drops (90 μl) of buffer solution were added to the buffer well and results were read just after 25 minutes. Negative readings at 25 minutes were read again at 35 minutes.

DNA extraction and PET-PCR diagnosis.

Plasmodium DNA was extracted using the QIAamp® DNA Blood Mini kit (Qiagen, Hilden, Germany), as recommended by the manufacturer. The photo-induced electron transfer PCR (PET-PCR) assay was run using Agilent Technologies strata gene Mx3005p PCR machine following the protocol described elsewhere [21,22]. The following genus and species level primers were used:

Original Genus 18sFor, 5’-GGC CTA ACA TGG CTA TGA CG-3’

Original Genus FAM 18sRev, 5’-AGG CGC ATA GCG CCT GGC TGC CTT CCT TAG ATG TGG TAG CT-3’

P. falciparum For, 5’-ACC CCT CGC CTG GTG TTT TT-3’

P. falciparum Rev, HEX-5’-AGG CGG ATA CCG CCT GGT CGG GCC CCA AAA ATA GGA A-3’

P. vivax For, 5’-GTA GCC TAA GAA GGC CGT GT-3’

P. vivax Rev, HEX-5’- AGG CGC ATA GCG CCT GGC CTG GGG GAT GAA TAT CTC TAC AGC ACT GT-3’

Amplification of the Plasmodium 18S rRNA gene specific for Plasmodium genus, P. falciparum or P. vivax was performed in a 20 μl reaction following the protocol explained elsewhere [22]. Samples with a CT value of 40 or below were considered positive [23]. The genus and P. falciparum multiplex assays were performed for all samples. P. vivax singleplex assay was performed for genus-positive samples regardless of the result for P. falciparum (Fig 1).

Data analysis

Data were entered into Microsoft Excel and sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) and kappa coefficient were determined using simple interactive statistical analysis (SISA) online statistical software. Test agreements were declared as no agreement (k ≤ 0), none to slight (k = 0.01–0.2), fair (k = 0.21–0.4), moderate (k = 0.41–0.60), substantial (k = 0.61–0.80) and almost perfect (k = 0.81–1.00) [24].

Ethical considerations

Ethical approval was obtained from Bahir Dar University, Science College Research Ethical Review Committee (Ref: PRCSVD/814/2023) and permission letter was obtained from Amhara Public Health Institute, Addis Alem Hospital and Bahir Dar Health Center. Written consent was obtained from each pregnant mother who participated in the study. All malaria positive participants were treated with the standard anti-malaria drugs based on the national malaria diagnosis and treatment guideline [1].

Inclusivity in global research

Additional information regarding the ethical, cultural, and scientific considerations specific to inclusivity in global research is included in the Supporting Information (S1 File).

Data quality assurance

Data on the hard copy was re-checked after being copied to the excel sheet. For the malaria microscopic examination, slides were read by two trained laboratory technicians independently at the Amhara Public Health Institute. A third WHO-certified laboratory technologist read discordant results between the two technicians. For the malaria RDT diagnosis, standard operating procedures were strictly followed and two laboratory technicians read the results independently. Discordant RDT readings were resolved by discussion. For the PCR assays, we used positive and negative controls in each run. Moreover, the expiry date and storage conditions of reagents and kits were checked before use.

Results

Prevalence of Plasmodium infection

Of 317 participants initially recruited, samples collected from 302 participants were appropriate for all diagnostic tests and hence included in the data analysis (S2 File). Of 302 samples examined, BIOCREDIT Pf/Pv (pLDH/pLDH) and CareStart™ Pf/Pv (HRP2/pLDH) proved positive in 180 (59.6%) and 166 (55.0%) samples, respectively. Two hundred seven (68.5%) samples tested positive by PET-PCR, whereas 191 (63.2%) samples were positive by microscopy. Results of species-level analysis showed that a higher number of samples tested positive for P. falciparum using PET-PCR (117, 38.7%) and the lower using CareStartTM Pf/Pv (HRP2/pLDH) (47, 15.6%). Likewise, P. vivax was detected in 132 (43.7%) samples with CareStartTM, followed by PET-PCR (128, 42.4%) and microscopy (122, 40.4%) (Table 1).

thumbnail
Table1. Prevalence of Plasmodium infection by different diagnostic techniques (N = 302).

https://doi.org/10.1371/journal.pone.0322362.t001

All the four diagnostic tests detected higher number of participants with P. vivax mon-infection compared to P. falciparum and mixed infections (Fig 2).

thumbnail
Fig 2. Prevalence of Plasmodium species by different diagnostic techniques.

https://doi.org/10.1371/journal.pone.0322362.g002

A total of 131 (43.4%) and 156 (51.7%) participants were tested positive for P. falciparum and P. vivax infections, respectively at least by one of the diagnostic tests. Of these, 58 (19.2%) were mixed infections. However, there was variation in the positivity rate among diagnostic tests that only 35 and 97 participants were tested positive for P. falciparum and P. vivax infections by all diagnostic tests (Fig3).

thumbnail
Fig 3. Venn diagram showing detection of P. falciparum (A), P. vivax (B) and Mixed (C) infections.

https://doi.org/10.1371/journal.pone.0322362.g003

Comparison of RDTs with microscopy and PET-PCR

In comparison to PET-PCR and microscopy, BIOCREDIT Pf/Pv RDT misdiagnosed P. falciparum in 32 (10.6%) and 54 (17.9%) of the 302 samples, when PET-PCR and microscopy were used as a reference test, respectively. Similarly, BIOCREDIT Pf/Pv RDT misdiagnosed P. vivax in 22 (7.3%) and 32 (10.6%) samples, when evaluated against PET-PCR and microscopy reference tests, respectively. When PET-PCR was used as a reference test, CareStartTM Pf/Pv (HRP2/pLDH) misdiagnosed P. falciparum in 76 (25.2%) and P. vivax in 38 (12.6%) samples, respectively (Table 2).

thumbnail
Table 2. Comparison of BIOCREDIT Pf/Pv and CareStart™ Pf/Pv against microscopy and PET-PCR.

https://doi.org/10.1371/journal.pone.0322362.t002

Performance of BIOCREDIT Pf/Pv and CareStart™ Pf/Pv in detecting Plasmodium infection

The sensitivity and NPV of BIOCREDIT Pf/Pv (pLDH/pLDH) in detecting P. falciparum infection was 75.4% (95%CI: 63.5–85.0) and 92.8% (95%CI: 89.5–95.1), respectively using microscopy as a reference. The sensitivity and NPV were further reduced to 55.6% (95%CI: 46.1–64.7) and 77.9% (95% CI: 74.2–81.2) against a PET-PCR reference. However, BIOCREDIT Pf/Pv (pLDH/pLDH) was more sensitive in detecting P. falciparum as compared to CareStart™ Pf/Pv (HRP2/pLDH), which had a sensitivity of 39.6% (95%CI: 29.8–50.1) and 37.6% (95%CI: 28.8–47.0) using microscopy and PET-PCR as reference tests, respectively. Hence, BIOCREDIT Pf/Pv was more accurate than CareStart™ Pf/Pv (HRP2/pLDH) when evaluated against microscopy (89.4% vs. 77.8%) and PET-PCR (82.1% vs. 74.8%). The sensitivity of BIOCREDIT Pf/Pv and CareStart™ Pf/Pv was comparable in the diagnosis of P. vivax compared to both microscopy (84.3% vs. 84.4%) and PET-PCR (86.7% vs. 86.7%) reference tests (Table 3).

thumbnail
Table 3. Performance of BIOCREDIT Pf/Pv (pLDH/pLDH) and CareStart™ Pf/Pv (HRP2/pLDH) in detecting Plasmodium infection.

https://doi.org/10.1371/journal.pone.0322362.t003

Discussion

To deliver healthcare services at the community level, Ethiopia launched a health extension program in 2004 [25]. One of the program’s main goals has been the prevention and treatment of malaria. As a result, malaria is diagnosed and treated by health extension workers (HEWs) at the lower-level of the healthcare system (e.g., health post) or during house-to-house visits. However, HEWs are not trained to perform malaria microscopy, as there is no laboratory at health posts. Thus, RDTs are used to diagnose malaria. Since both P. falciparum and P. vivax co-exist in Ethiopia, the country has been using the CareStart™ Pf/Pv (HRP2/pLDH), one of the various RDTs currently in use, to diagnose both P. falciparum and non-falciparum infections. The diagnosis of P. falciparum using CareStart™ Pf/Pv (HRP2/pLDH) relies on detecting HRP-2 antigen in the blood. However, recently, reports from several areas of Ethiopia have shown a high prevalence (>5%) of HRP-2/3 gene deletions [12,15,2629]. In support of this, recent studies in Ethiopia demonstrated that HRP-2-targeting RDTs show low sensitivity [3032]. Cognizant of this, the Federal Ministry of Health switched from CareStart™ Pf/Pv (HRP2/pLDH) to BIOCREDIT Pf/Pv (pLDH/pLDH) at the beginning of 2024.

The prevalence of both P. falciparum and P. vivax in the present study was high because; (i) data were collected from participants who fulfilled the clinical case definition (i.e., febrile in the last 48 hours and coming from malaria endemic area) [1], (ii) data were collected during the major malaria transmission season (September to December), (iii) there was malaria epidemics in the study area at the time of data collection, and (iv) we used sensitive molecular diagnostic test (PET-PCR), in addition to microscopy and RDTs. In Ethiopia P. falciparum is known to account for 70% of malaria infections, while the remaining 30% are due to P. vivax, but this figure may vary by season and locality [1]. Hence, the prevalence of P. vivax was higher than that of P. falciparum in the present study (Table 1). This is supported by recent literature reporting a 7-fold national increase in P. vivax malaria cases from 100,000 in 2018–730,000 in 2022, unlike the steady increase in P. falciparum cases [33]. Similarly, a higher prevalence of P. vivax than P. falciparum was reported in a previous study in Ethiopia [34]. The shift in the proportion of the two species is multifactorial, with climate change and relapse might being primary contributors [35]. A recent report suggested the expansion of P. vivax populations that could infect both Duffy-positive and Duffy-negative individuals in sub-Saharan Africa, including Ethiopia, contributing to the increasing proportion of P. vivax compared to P. falciparum [36]. However, to provide a definitive justification, large-scale studies are recommended to assess the role of vectors, human factors, the environment and climate-related drivers contributing to the distribution of each Plasmodium species.

The present study revealed that, compared to CareStart™, the BIOCREDIT Pf/Pv RDT showed good performance in detecting P. falciparum, with only 5 false-negative (FN) results compared to 25 false-positive (FP) results. This was inconsistent with a prior study in Djibouti [37]. The higher FP rate might be due to HRP2/3 gene deletions missed by the CareStart™ but detected by the BIOCREDIT RDT [1215]. The BIOCREDIT RDT was also more sensitive than the previously used CareStart™ in detecting P. falciparum when evaluated against microscopy (75.4% vs. 39.6%) and PCR (55.6% vs. 37.6%) reference tests, which was in line with a previous study from Burundi [38]. However, BIOCREDIT RDT’s sensitivity (55.6%) against PCR was less than the WHO’s minimal cut-off value (≥75%) [19]. Additionally, it fell short of sensitivity rates observed in other studies, such as 79.9% in Burundi [38], 88.2% in Djibouti [37], 87.8% in Uganda [39], 69% [40], and 89% in Ethiopia [41]. These discrepancies may be due to factors such as parasite densities, RDT manufacturers, storage and transportation conditions, and operator skills [4245]. Although we did not quantify parasite density in this study, we anticipated that most individuals had minimal parasitemia because the study area was under a malaria elimination program. Hence, 5.6% FN results were reported compared to PCR (Table 2). This might have occurred due to the higher detection limit of malaria RDTs (>100 parasites/µl) compared to that of the reference PCR test (<5 parasites/µl) [46]. The impact of operator skill on RDT performance was demonstrated in Djibouti, where retraining and close supervision increased the sensitivity to identify P. falciparum from 69.8% to 88.2% (p < 0.01) [37].

The high specificity (98.9%) and PPV (97.0%) were substantiated by the fact that, when compared to PCR, only two samples had FP results with BIOCREDIT. This was consistent with earlier findings [37,39,47]. When compared to microscopy, the FP was higher (5.0%), which could be because of the limited sensitivity of microscopy itself (5–20 parasites/µl compared to a detection limit of < 5 parasites/µl by PCR) [46,48]. Moreover, P. falciparum-infected red blood cells are sequestered in the placenta. So, some P. falciparum infections might have been overlooked by microscopy but detected by the BIOCREDIT RDT. It is also crucial to remember that individuals with rheumatoid factor [49] or those with persistent pLDH following treatment [50] could have experienced BIOCREDIT FP results.

When compared to PCR, the BIOCREDIT RDT’s sensitivity (86.7%) and NPV (90.9%) for detecting P. vivax were above the minimum sensitivity limit of RDTs [19], but lower than findings of earlier studies [37,47]. The sensitivity was similar to that of the CareStart™ (86.7%), implying that either RDT could be recommended for the diagnosis of P. vivax infections in Ethiopia. However, the BIOCREDIT RDT is more appropriate as both P. falciparum and P. vivax are co-endemic in most parts of the country [1].

In the present study, CareStart™ (13 samples) detected higher number of mixed infection compared to BIOCREDIT (3 samples). Differences in cross-reactivity, and hence specificity between the two RDTs might bring this variation. For instance, as explained in the manufacturers’ leaflets, CareStart™ produces a false positive result for patients with acute schistosomiasis. Schistosomiasis is highly prevalent in the study area. Biocredit is 100% specific in detecting P. vivax than Carestart having a specificity of 97.5% (source: manufacturers’ leaflets), possibly contributing for the higher report of P. vivax mono-infection as well as mixed infection by Carestart. However, it needs further investigation to give definitive justification.

This was the first study to assess the performance of the newly introduced BIOCREDIT Pf/Pv RDT in Ethiopia. We believe the findings of this study could provide valuable information regarding the performance of the BIOCREDIT Pf/Pv RDT in detecting both P. falciparum and P. vivax in Ethiopia. Nevertheless, the current study had some shortcomings: (i) parasite densities were not quantified, and the impact of parasitemia level on RDT performance was not assessed; (ii) sociodemographic and pregnancy-related data were not collected to evaluate the role of factors on RDT performance; (iii) RDT tests were performed only by the investigators, and the impact of operational skill by the HEWs (who regularly perform RDT tests) was not assessed; and (iv) subclinical (asymptomatic) participants, who usually carry low parasite loads, were not included in the study, so we are unable to recommend the use of BIOCREDIT Pf/Pv RDT for mass screening.

Conclusions

The BIOCREDIT Pf/Pv RDT demonstrated superior performance in diagnosing P. falciparum compared to the previously in-use CareStart™ Pf/Pv (HRP2/pLDH). For diagnosing P. vivax, its performance was comparable to that of CareStart™. We recommend the use of the BIOCREDIT Pf/Pv RDT for diagnosing Plasmodium infections in areas with a high prevalence of hrp2/3 deletions in Ethiopia. However, comprehensive nationwide study is recommended to evaluate the performance of BIOCREDIT Pf/Pv RDT in various malaria transmission settings.

Supporting information

S1 File. Ethical, cultural, and scientific considerations specific to inclusivity in global research.

https://doi.org/10.1371/journal.pone.0322362.s001

(DOCX)

Acknowledgments

We thank Bahir Dar University Science College for ethical approval of the study; Amhara Regional State Public Health Institute for providing support letter for the laboratory facility; and study participants for their volunteer participation in the study; Addis Alem Hospital and Bahir Dar Health Center Laboratory staff for sample collection; Mr. Bisrat Nigussie and Mr. Tsedalu Alemu for their unreserved help during sample collection.

References

  1. 1. Federal Ministry of Health (FMOH). National Malaria Guidelines. 5th ed. Addis Ababa, Ethiopia; 2022.
  2. 2. World Health Organization. Global Messaging Briefing Kit: World Malaria Report; 2023, [cited 20 Dec 2024. ]. Available from: https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2024
  3. 3. World Health Organization. World malaria report. 2023, [cited 23 Sep 2024. ]. Available from: https://www.mmv.org/sites/default/files/content/document/world-malaria-report-2023_0.pdf
  4. 4. Desai M, ter Kuile FO, Nosten F, McGready R, Asamoa K, Brabin B, et al. Epidemiology and burden of malaria in pregnancy. Lancet Infect Dis. 2007;7:93–104. pmid:17251080
  5. 5. Moya-Alvarez V, Abellana R, Cot M. Pregnancy-associated malaria and malaria in infants: an old problem with present consequences. Malar J. 2014;13:271. pmid:25015559
  6. 6. Vajda ÉA, Webb CE. Assessing the Risk Factors Associated with Malaria in the Highlands of Ethiopia: What Do We Need to Know? Trop Med Infect Dis. 2017;2(4):1–13. pmid:30270863
  7. 7. WHO. Global Technical Strategy for Malaria 2016–2030. Geneva: World Health Organization; 2016.
  8. 8. WHO. Global malaria programme. 2015, [cited 12 Dec 2024. ]. Available from: https://www.who.int/teams/global-malaria-programme/case-management/diagnosis
  9. 9. Federal Democratic Republic of Ethiopia. Malaria laboratory diagnosis and clinical case management quality assurance manual for malaria elimination in Ethiopia. Addis Ababa, Ethiopia; 2017, [cited 12 Nov 2024. ]. Available from: http://dataverse.nipn.ephi.gov.et/bitstream/handle/123456789/1436/Malaria-Elimination-Lab-Diagnosis-Quality-Assurance-Manual-2.pdf?sequence=1&isAllowed=y
  10. 10. WHO. Universal Access to Malaria Diagnostic Testing: An Operational Manual. Geneva, Switzerland: World Health Organization; 2011.
  11. 11. Murray CK, Bennett JW. Rapid Diagnosis of Malaria. Interdiscip Perspect Infect Dis. 2009;2009:415953. pmid:19547702
  12. 12. Alemayehu GS, Blackburn K, Lopez K, Cambel Dieng C, Lo E, Janies D, Golassa L, et al. Detection of high prevalence of Plasmodium falciparum histidine-rich protein 2/3 gene deletions in Assosa zone, Ethiopia: implication for malaria diagnosis. Malar J. 2021;20(1):109. pmid:33622309
  13. 13. Feleke SM, Reichert EN, Mohammed H, Brhane BG, Mekete K, Mamo H, et al. Plasmodium falciparum is evolving to escape malaria rapid diagnostic tests in Ethiopia. Nat Microbiol. 2021;6(10):1289–99. pmid:34580442
  14. 14. Molina-de la Fuente I, Yimar M, García L, González V, Amor A, Anegagrie M, et al. Deletion patterns, genetic variability and protein structure of pfhrp2 and pfhrp3: implications for malaria rapid diagnostic test in Amhara region, Ethiopia. Malar J. 2022;21(1):287. pmid:36209103
  15. 15. Mekonen B, Dugassa S, Feleke SM, Dufera B, Gidisa B, Adamu A, et al. Widespread pfhrp2/3 deletions and HRP2-based false-negative results in southern Ethiopia. Malar J. 2024;23(1):108. pmid:38632640
  16. 16. Thomson R, Parr JB, Cheng Q, Chenet S, Perkins M, Cunningham J. Prevalence of Plasmodium falciparum lacking histidine-rich proteins 2 and 3: a systematic review. Bull World Health Organ. 2020;98(8):558–68F. pmid:32773901
  17. 17. Federal Democratic Republic of Ethiopia Central Statistical Agency. Population Projection of Ethiopia for All Regions at Wereda Level from 2014 – 2017 pdf. 2013.
  18. 18. Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med. 1996;3(9):895–900. pmid:8870764
  19. 19. WHO. Response plan to pfhrp2 gene deletions. 2019, [cited 14 Dec 2024. ]. Available from: https://www.who.int/publications/i/item/WHO-CDS-GMP-2019.02
  20. 20. WHO. Basic malaria microscopy. Part I. 2010, [cited 09 Jan 2025. ] Available from: https://iris.who.int/bitstream/handle/10665/44208/9789241547826_eng.pdf?sequence=1
  21. 21. Tilahun A, Yimer M, Gelaye W, Tegegne B. Prevalence of asymptomatic Plasmodium species infection and associated factors among pregnant women attending antenatal care at Fendeka town health facilities, Jawi District, North west Ethiopia: A cross-sectional study. PLoS ONE. 2020;15(4):e0231477. pmid:32315341
  22. 22. Tilahun A, Yimer M, Gelaye W, Tegegne B, Endalamaw D, Estifanos F, et al. Comparison of malaria diagnostic methods for detection of asymptomatic Plasmodium infections among pregnant women in northwest Ethiopia. BMC Infect Dis. 2024;24(1):492. pmid:38745114
  23. 23. Lucchi NW, Narayanan J, Karell MA, Xayavong M, Kariuki S, DaSilva AJ, et al. Molecular diagnosis of malaria by photo-induced electron transfer fluorogenic primers: PET-PCR. PLoS ONE. 2013;8(2):e56677. pmid:23437209
  24. 24. Landis JR, Kock GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74. pmid:843571
  25. 25. Banteyerga H. Ethiopia’s health extension program: improving health through community involvement. MEDICC Rev. 2011;13(3):46–9. pmid:21778960
  26. 26. Rogier E, McCaffery JN, Nace D, Svigel SS, Assefa A, Hwang J, et al. Plasmodium falciparum pfhrp2 and pfhrp3 Gene Deletions from Persons with Symptomatic Malaria Infection in Ethiopia, Kenya, Madagascar, and Rwanda. Emerg Infect Dis. 2022; 28(3):608–16.
  27. 27. Fola AA, Feleke SM, Mohammed H, Brhane BG, Hennelly CM, Assefa A, et al. Plasmodium falciparum resistant to artemisinin and diagnostics have emerged in Ethiopia. Nat Microbiol. 2023;8(10):1911–9. pmid:37640962
  28. 28. Kamaliddin C, Burke-Gaffney J, Ashraf S, Castañeda-Mogollón D, Adamu A, Wijesinghe A, et al. A countrywide survey of hrp2/3 deletions and kelch13 mutation co-occurrence in Ethiopia. J Infect Dis. 2024:jiae373. pmid:39083679
  29. 29. Getie S, Mekonnen GG, Meda AL, Birhanie M, Abere A, Noedl H. High Prevalence of Pfhrp2/3 Gene Deletions and Major Threat to Malaria Control Programs in Ethiopia. J Trop Med. 2024;2024:8848997. pmid:39524155
  30. 30. Ashton RA, Kefyalew T, Tesfaye G, Counihan H, Yadeta D, Cundill B, et al. Performance of three multi-species rapid diagnostic tests for diagnosis of Plasmodium falciparum and Plasmodium vivax malaria in Oromia Regional State, Ethiopia. Malar J. 2010;9:297. pmid:20979601
  31. 31. Dejazmach Z, Alemu G, Yimer M, Tegegne B, Getaneh A. Assessing the Performance of CareStart™ Malaria Rapid Diagnostic Tests in Northwest Ethiopia: A Cross-Sectional Study. J Parasitol Res. 2021;2021:7919984. pmid:34725569
  32. 32. Zeleke MT, Gelaye KA, Hirpa AA, Teshome MB, Guma GT, Abate BT, et al. Diagnostic performance of PfHRP2/pLDH malaria rapid diagnostic tests in elimination setting, northwest Ethiopia. PLOS Glob Public Health. 2023;3(7):e0001879. pmid:37428720
  33. 33. Zhou G, Taffese HS, Zhong D, Wang X, Lee M-C, Degefa T, et al. Resurgence of Clinical Malaria in Ethiopia and Its Link to Anopheles stephensi Invasion. Pathogens. 2024;13(9):748. pmid:39338938
  34. 34. Woldesenbet D, Tegegne Y, Semaw M, Abebe W, Barasa S, Wubetie M, et al. Malaria Prevalence and Risk Factors in Outpatients at Teda Health Center, Northwest Ethiopia: A Cross-Sectional Study. J Parasitol Res. 2024;2024:8919098. pmid:38774539
  35. 35. Tesfaye S, Belyhun Y, Teklu T, Mengesha T, Petros B. Malaria prevalence pattern observed in the highland fringe of Butajira, Southern Ethiopia: a longitudinal study from parasitological and entomological survey. Malar J. 2011;10:153. pmid:21649923
  36. 36. Twohig KA, Pfeffer DA, Baird JK, Price RN, Zimmerman PA, Hay SI, et al. Growing evidence of Plasmodium vivax across malaria-endemic Africa. PLoS Negl Trop Dis. 2019;13(1):e0007140. pmid:30703083
  37. 37. Abdi Moussa R, Papa Mze N, Yonis Arreh H, Abdillahi Hamoud A, Mohamed Alaleh K, Mohamed Aden F, et al. Assessment of the Performance of Lactate Dehydrogenase-Based Rapid Diagnostic Test for Malaria in Djibouti in 2022-2023. Diagnostics (Basel). 2024;14(3):262.
  38. 38. Niyukuri D, Sinzinkayo D, Troth EV, Oduma CO, Barengayabo M, Ndereyimana M, et al. Performance of highly sensitive and conventional rapid diagnostic tests for clinical and subclinical Plasmodium falciparum infections, and hrp2/3 deletion status in Burundi. PLOS Glob Public Health. 2022; 2(7): e0000828. https://doi.org/ 10.1371/journal.pgph.0000828.
  39. 39. Bahk YY, Park SH, Lee W, Jin K, Ahn SK, Na BK, et al. Comparative Assessment of Diagnostic Performances of Two Commercial Rapid Diagnostic Test Kits for Detection of Plasmodium spp. in Ugandan Patients with Malaria. Korean J Parasitol. 2018;56(5):447–452. pmid:30419730
  40. 40. Feleke SM, Gidey B, Mohammed H, Nega D, Dillu D, Haile M, et al. Field performance of Plasmodium falciparum lactate dehydrogenase rapid diagnostic tests during a large histidine-rich protein 2 deletion survey in Ethiopia. Malar J. 2022;21(1):236. pmid:35971118
  41. 41. Alemayehu GS, Lopez K, Dieng CC, Lo E, Janies D, Golassa L. Evaluation of PfHRP2 and PfLDH Malaria Rapid Diagnostic Test Performance in Assosa Zone, Ethiopia. Am J Trop Med Hyg. 2020;103(5):1902–1909. pmid:32840197
  42. 42. Coldiron ME, Assao B, Langendorf C, Makombe NS, Ciglenecki I, de la Tour R, et al. Clinical diagnostic evaluation of HRP2 and pLDH-based rapid diagnostic tests for malaria in an area receiving seasonal malaria chemoprevention in Niger. Malar J. 2019;18:443. pmid:31878947
  43. 43. Ali IM, Nji AM, Bonkum JC, Moyeh MN, Carole GF, Efon S, et al. Diagnostic accuracy of CareStart™ malaria HRP2 and SD Bioline Pf/PAN for malaria in febrile outpatients in varying malaria transmission settings in Cameroon. Diagnostics (Basel). 2021;11:1556. doi: 10.3390/diagnostics11091556 pmid:34573898
  44. 44. Tetteh M, Dwomoh D, Asamoah A, Kupeh EK, Malm K, Nonvignon J. Impact of malaria diagnostic refresher training programme on competencies and skills in malaria diagnosis among medical laboratory professionals: evidence from Ghana 2015–2019. Malar J. 2021; 20:255.
  45. 45. Albertini A, Lee E, Coulibaly SO, Sleshi M, Faye B, Mationg ML, et al. Malaria rapid diagnostic test transport and storage conditions in Burkina Faso, Senegal, Ethiopia and the Philippines. Malar J. 2012;11:406. pmid:23217104
  46. 46. Rubio JM, Benito A, Berzosa PJ, Roche J, Puente S, Subirats M, et al. Usefulness of seminested multiplex PCR in surveillance of imported malaria in Spain. J Clin Microbiol. 1999; 37(10):3260-4.
  47. 47. Park SH, Jegal S, Ahn SK, Jung H, Lee J, Na B-K, et al. Diagnostic Performance of Three Rapid Diagnostic Test Kits for Malaria Parasite Plasmodium falciparum. Korean J Parasitol. 2020;58(2):147–152. pmid:32418383
  48. 48. Bruce-Chwatt LJ. DNA probes for malaria diagnosis. Lancet. 1984;1(8380):795. pmid:6143111
  49. 49. Grobusch M, Alpermann U, Schwenke S, Jelinek T, Warhurst DC. False-positive rapid tests for malaria in patients with rheumatoid factor. Lancet. 1999;353(9149):297.
  50. 50. Tahar R, Sayang C, Ngane Foumane V, Soula G, Moyou-Somo R, Delmont J, et al. Field evaluation of rapid diagnostic tests for malaria in Yaounde, Cameroon. Acta Trop. 2013;125(2):214–9. pmid:23085326