Infected RBC flag/parameter provided by Mindray BC-6800 haematology analyzer aid the diagnosis of malaria

Sun, Yi; Xiang, Daijun; Chen, Chen; He, Shang; Qi, Huan; Wang, Chengbin

doi:10.1186/s12936-019-2890-z

Cited by 9 publications

(10 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unlike previously reported malarial and dengue screening studies using only high range instruments [ 7 – 9 , 16 – 20 , 23 – 27 ], this approach is based on machine learning from instrument generated raw data measurements from a more affordable CBC-DIFF analysis and does not depend on prior cell population classifications of the sample. This ability to screen for diseases like dengue fever without a unique disease specific signal suggests that machine learning data-mining techniques can provide means of disease profiling based upon the immune or cellular responses of the patient.…”

Section: Discussionmentioning

confidence: 99%

“…Detecting iRBCs has been used for malaria detection with Sysmex XE [ 16 – 18 ], XN series [ 19 ] and Mindray (Shenzhen, China) BC-6800 [ 20 ]. This technique lacks sensitivity for low levels of parasitaemia and in early infection, as only mature forms are likely to have remodeled the cytoskeleton sufficiently to increase lysis resistance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance evaluation of machine learning-based infectious screening flags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever

Dharap¹,

Raimbault

2020

Malar J

View full text Add to dashboard Cite

Background Automated detection of malaria and dengue infection has been actively researched for more than two decades. Although many improvements have been achieved, these solutions remain too expensive for most laboratories and clinics in developing countries. The low range HORIBA Medical Haematology Analyzer, Yumizen H550, now provides dedicated flags ‘vivax malaria’ and ‘dengue fever’ in routine blood testing, developed through machine learning methods, to be used as a screening tool for malaria and dengue fever in endemic areas. This study sought to evaluate the effectiveness of these flags under real clinical conditions. Methods A total of 1420 samples were tested using the Yumizen H550 Haematology Analyzer, including 1339 samples from febrile patients among whom 202 were infected with malaria parasites (Plasmodium vivax only: 182, Plasmodium falciparum only: 18, both: 2), 210 were from febrile dengue infected patients, 3 were from afebrile dengue infected patients and 78 were samples from healthy controls, in an outpatient laboratory clinic in Mumbai, India. Microscopic examination was carried out as the confirmatory reference method for detection of malarial parasite, species identification and assessing parasitaemia based on different stages of parasite life cycle. Rapid diagnostic malarial antigen tests were used for additional confirmation. For dengue infection, NS1 antigen detection by ELISA was used as a diagnostic marker. Results For the automated vivax malaria flag, the original manufacturer’s cut off yielded a sensitivity and specificity of 65.2% and 98.9% respectively with the ROC AUC of 0.9. After optimization of cut-off value, flag performance improved to 72% for sensitivity and 97.9% specificity. Additionally it demonstrated a positive correlation with increasing levels of parasitaemia. For the automated dengue fever flag it yielded a ROC AUC of 0.82 with 79.3% sensitivity and 71.5% specificity. Conclusions The results demonstrate a possibility of the effective use of automated infectious flags for screening vivax malaria and dengue infection in a clinical setting.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance evaluation of machine learning-based infectious screening flags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever

Dharap¹,

Raimbault

2020

Malar J

View full text Add to dashboard Cite

show abstract

“…Most instruments do not specifically flag suspected malaria, inspection of scatter plots being required. The Mindray BC‐6800 Auto Haematology Analyser, however, has two flags, ‘infected RBC?’ and ‘InR#’ count that may indicate the presence of malaria parasites 40 . With a number of automated instruments, a flag for ‘atypical lymphocytes’ can lead to blood film examination, with malaria being found to be the explanation.…”

Section: Incidental Diagnosismentioning

confidence: 99%

British Society for Haematology guidelines for the laboratory diagnosis of malaria

et al. 2022

View full text Add to dashboard Cite

The range of supplementary tests available for diagnosing malaria has continued to expand. Despite this, carefully examined thick and thin blood films remain an essential part of the process. This guideline updates the previous 2013 British Society for Haematology Guideline for the Laboratory Diagnosis of Malaria. M ETHODOLOGYThis guideline was compiled according to the British Society for Haematology (BSH) process at https://b-s-h.org.uk/media/ 16732/ bsh-guida nce-devel opmen t-proce ss-dec-5-18.pdf. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) nomenclature was used to evaluate levels of evidence and to assess the strength of recommendations, although there are some challenges with applying these to laboratory diagnostic methods. The GRADE criteria can be found at http://www.grade worki nggro up.org. R EV IEW OF TH E M A N USCR IP TReview of the manuscript was performed by the BSH General Haematology Task Force, the BSH Guidelines Committee and the sounding board of BSH. It was also on the members section of the BSH website for comment.

show abstract

“…For example, a recent evaluation on a malaria parameter to evaluate the percentage of iRBCs in the BC-6800 (Mindray) showed a lower sensitivity to detect P. falciparum in comparison with detecting P. vivax (24.1% and 88.3%, respectively). This is most probably due to the difficulty of detecting early stage parasites and their low nucleic acid content [ 8 ], which are prevalent in P. falciparum infections where trophozoites and schizonts are barely seen in peripheral blood.…”

Section: Malaria Detection In Standard Automated Cell Counters (Accs)mentioning

confidence: 99%

The utility of basic blood counts, WBC histogram and C-reactive protein in detecting malaria

Nishimura

Dharap²,

Raimbault

2021

BMC Infect Dis

View full text Add to dashboard Cite

Background Hematology analyzers display abnormal parameters during malaria infection providing insightful information for suspecting and assessing malaria infection. The goal of this study is to demonstrate the potential of a three-part differential hematology analyzer to assess malaria, provide information about the parasitemia, and discuss the importance of combining C-reactive protein (CRP) with hematology parameters to obtain further information about the malaria infection. Methods The present study shows the results of a case–control study during the monsoon season of years 2018 and 2019 in Mumbai, India. The study considers 1008 non-malaria febrile cases, 209 P. vivax and 31 P. falciparum positive malaria samples, five cases of mixed P. vivax and P. falciparum infection, and three co-infection cases of P. vivax and dengue. Raw data from the three-part analyzer LC-667G CRP (HORIBA) and the corresponding microscopic findings (golden standard for diagnosis of malaria) were obtained for each sample. Results The medians of platelet counts (PLT) were 102.5, 109.0, and 223.0 × 103/µL, while CRP medians were 67.4, 81.4 and 10.4 mg/L in P. vivax, P. falciparum and control groups respectively (p < 0.001 in Mann–Whitney U tests between malaria and control groups). Compared with negative samples, platelets counting less than 161.5 × 103/µL were observed on malaria patients (OR 19.12, 95% CI 11.89–30.75). Especially in P. vivax cases, an abnormal peak was frequently observed in the white blood cells (WBC) histogram around the 37fL channel. The events counted around that channel showed a linear correlation with the counting of red blood cells infected predominantly with larger parasitic forms. Parameters like CRP (rs = 0.325, p < 0.001), WBC (rs = 0.285, p < 0.001) and PLT (rs = − 0.303, p < 0.001) were correlated with the parasitemia of P. vivax samples. Between the malaria and dengue groups, the highest area under the receiver operating characteristic curve was observed on CRP (0.867, CRP ≥ 26.85 mg/L). Conclusions A three-part differential hematology analyzer has the potential to not only trigger malaria diagnosis confirmation but also assess the severity of the infection when CRP is considered.

show abstract

Infected RBC flag/parameter provided by Mindray BC-6800 haematology analyzer aid the diagnosis of malaria

Cited by 9 publications

References 28 publications

Performance evaluation of machine learning-based infectious screening flags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever

Performance evaluation of machine learning-based infectious screening flags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever

British Society for Haematology guidelines for the laboratory diagnosis of malaria

The utility of basic blood counts, WBC histogram and C-reactive protein in detecting malaria

Contact Info

Product

Resources

About