Literature DB >> 33664389

Performance of the hematology analyzer XN-31 prototype in the detection of Plasmodium infections in an endemic region of Colombia.

Lina Zuluaga-Idárraga1, Alexandra Rios2, Verónica Sierra-Cifuentes2, Edwar Garzón2, Alberto Tobón-Castaño2, Ikki Takehara3, Yuji Toya3, Munehisa Izuka3, Kinya Uchihashi3, Tatiana M Lopera-Mesa2.   

Abstract

Early and accurate diagnosis is critical in reducing the morbidity and mortality associated with malaria. Microscopy (MI) is the current diagnostic gold standard in the field; however, it requires expert personnel, is time-consuming, and has limited sensitivity. Although rapid diagnostic tests for antigen detection (RDTs) are an alternative to diagnosis, they also have limited sensitivity and produce false positive results in detecting recent past infection. The automated hematology analyzer XN-31 prototype (XN-31p) (Sysmex Corporation, Kobe, Japan) is able to identify plasmodium-infected erythrocytes, count parasitemia and perform complete blood-cell counts within one minute. The performance of the XN-31p in diagnosing malaria was evaluated and compared with real-time polymerase chain reaction (qPCR), MI and RDT in an endemic area of Colombia where Plasmodium falciparum and Plasmodium vivax are present. Acute febrile patients were enrolled from July 2018 to April 2019 in Quibdó, Colombia. Malaria diagnoses were obtained from MI and RDT in the field and later confirmed by qPCR. Venous blood samples in EDTA were processed with an XN-31p in the field. Sensitivity, specificity, positive/negative predictive values, and the likelihood ratios of positive and negative tests were calculated with respect to the results from qPCR, MI and RDT. The intraclass correlation coefficient (ICC) and Bland-Altman plot were used to evaluate the concordance in the parasitemia with respect to MI. A total of 1,754 subjects were enrolled. The mean age was 27.0 years (IQR 14-44); 89.6% were Afro-Colombians, 94.3% lived in urban areas and 0.91% were pregnant. With respect to qPCR, the XN-31p showed a sensitivity of 90% (95% CI 87.24-92.34) and a specificity of 99.83% (95% CI 99.38-99.98) in detecting Plasmodium spp.; both parameters were equivalent to those for MI and RDT. Using MI as the reference, the XN-31p showed a sensitivity of 98.09% (95% CI 96.51-99.08), a specificity of 99.83% (95% CI 99.4-99.98), an ICC of 0.85 (95% CI 0.83-0.87) and an average difference of - 3096 parasites/µL when compared with thick-smear MI and an ICC of 0.98 (95% CI 0.97-0.98) and an average difference of - 0.0013% when compared with thin-smear MI. The XN-31p offers a rapid and accurate alternative method for diagnosing malaria in clinical laboratories in areas where P. falciparum and P. vivax cocirculate.

Entities:  

Year:  2021        PMID: 33664389      PMCID: PMC7933134          DOI: 10.1038/s41598-021-84594-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  25 in total

1.  A genus- and species-specific nested polymerase chain reaction malaria detection assay for epidemiologic studies.

Authors:  B Singh; A Bobogare; J Cox-Singh; G Snounou; M S Abdullah; H A Rahman
Journal:  Am J Trop Med Hyg       Date:  1999-04       Impact factor: 2.345

2.  Assessment of ultra-sensitive malaria diagnosis versus standard molecular diagnostics for malaria elimination: an in-depth molecular community cross-sectional study.

Authors:  Natalie E Hofmann; Maria Gruenberg; Elma Nate; Alice Ura; Daniela Rodriguez-Rodriguez; Mary Salib; Ivo Mueller; Thomas A Smith; Moses Laman; Leanne J Robinson; Ingrid Felger
Journal:  Lancet Infect Dis       Date:  2018-08-28       Impact factor: 25.071

3.  The international limits and population at risk of Plasmodium vivax transmission in 2009.

Authors:  Carlos A Guerra; Rosalind E Howes; Anand P Patil; Peter W Gething; Thomas P Van Boeckel; William H Temperley; Caroline W Kabaria; Andrew J Tatem; Bui H Manh; Iqbal R F Elyazar; J Kevin Baird; Robert W Snow; Simon I Hay
Journal:  PLoS Negl Trop Dis       Date:  2010-08-03

4.  Beyond malaria--causes of fever in outpatient Tanzanian children.

Authors:  Valérie D'Acremont; Mary Kilowoko; Esther Kyungu; Sister Philipina; Willy Sangu; Judith Kahama-Maro; Christian Lengeler; Pascal Cherpillod; Laurent Kaiser; Blaise Genton
Journal:  N Engl J Med       Date:  2014-02-27       Impact factor: 91.245

5.  STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet; Herbert Y Kressel; Nader Rifai; Robert M Golub; Douglas G Altman; Lotty Hooft; Daniël A Korevaar; Jérémie F Cohen
Journal:  BMJ       Date:  2015-10-28

6.  Complicated malaria in children and adults from three settings of the Colombian Pacific Coast: A prospective study.

Authors:  Myriam Arévalo-Herrera; Lina Rengifo; Mary Lopez-Perez; Maria I Arce-Plata; Jhon García; Sócrates Herrera
Journal:  PLoS One       Date:  2017-09-25       Impact factor: 3.240

7.  Analytical sensitivity of current best-in-class malaria rapid diagnostic tests.

Authors:  Alfons Jimenez; Roxanne R Rees-Channer; Rushini Perera; Dionicia Gamboa; Peter L Chiodini; Iveth J González; Alfredo Mayor; Xavier C Ding
Journal:  Malar J       Date:  2017-03-24       Impact factor: 2.979

8.  The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide.

Authors:  Carlos A Guerra; Priscilla W Gikandi; Andrew J Tatem; Abdisalan M Noor; Dave L Smith; Simon I Hay; Robert W Snow
Journal:  PLoS Med       Date:  2008-02       Impact factor: 11.069

9.  Comparison of three diagnostic methods (microscopy, RDT, and PCR) for the detection of malaria parasites in representative samples from Equatorial Guinea.

Authors:  Pedro Berzosa; Aida de Lucio; María Romay-Barja; Zaida Herrador; Vicenta González; Luz García; Amalia Fernández-Martínez; Maria Santana-Morales; Policarpo Ncogo; Basilio Valladares; Matilde Riloha; Agustín Benito
Journal:  Malar J       Date:  2018-09-17       Impact factor: 2.979

10.  Application of the automated haematology analyzer XN-30 for discovery and development of anti-malarial drugs.

Authors:  Takahiro Tougan; Yuji Toya; Kinya Uchihashi; Toshihiro Horii
Journal:  Malar J       Date:  2019-01-14       Impact factor: 2.979

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  5 in total

1.  Diagnostic accuracy of fluorescence flow-cytometry technology using Sysmex XN-31 for imported malaria in a non-endemic setting.

Authors:  Stéphane Picot; Thomas Perpoint; Christian Chidiac; Alain Sigal; Etienne Javouhey; Yves Gillet; Laurent Jacquin; Marion Douplat; Karim Tazarourte; Laurent Argaud; Martine Wallon; Charline Miossec; Guillaume Bonnot; Anne-Lise Bienvenu
Journal:  Parasite       Date:  2022-05-31       Impact factor: 3.020

2.  Fast detection and quantification of Plasmodium species infected erythrocytes in a non-endemic region by using the Sysmex XN-31 analyzer.

Authors:  Tania A Khartabil; Yolanda B de Rijke; Rob Koelewijn; Jaap J van Hellemond; Henk Russcher
Journal:  Malar J       Date:  2022-04-11       Impact factor: 2.979

3.  Clinical performance testing of the automated haematology analyzer XN-31 prototype using whole blood samples from patients with imported malaria in Japan.

Authors:  Kanako Komaki-Yasuda; Satoshi Kutsuna; Miki Kawaguchi; Mina Kamei; Kinya Uchihashi; Keiji Nakamura; Takato Nakamoto; Norio Ohmagari; Shigeyuki Kano
Journal:  Malar J       Date:  2022-07-30       Impact factor: 3.469

4.  Potential application of the haematology analyser XN-31 prototype for field malaria surveillance in Kenya.

Authors:  Jesse Gitaka; Akira Kaneko; Wataru Kagaya; Ikki Takehara; Kyoko Kurihara; Michael Maina; Chim W Chan; Gordon Okomo; James Kongere
Journal:  Malar J       Date:  2022-09-01       Impact factor: 3.469

5.  Evaluation of the Sysmex XN-31 automated analyser for blood donor malaria screening at Malawi Blood Transfusion Services.

Authors:  Bridon M'baya; Thom Mfune; Aubrey Samon; Talent Hwandih; Marion Münster
Journal:  Vox Sang       Date:  2021-09-23       Impact factor: 2.996

  5 in total

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