Your browser doesn't support javascript.
loading
Standardization of Aspergillus IgG diagnostic cutoff in Nigerians.
Oladele, Rita O; Otu, Akaninyene A; Balogun, Oluwaseyi J; Babalola, Oladayo M; Nwosu, Augustina O; Iyabo Osaigbovo, Iriagbonse; Gbajabiamila, Titilayo; Irurhe, Nicholas K; Fayemiwo, Samuel A; Shettima, Shuwaram A; Uwaezuoke, Nkolika Stella; Edwin, Chinagozi Precious; Ayanbeku, Toyese Stephen; Okaa, Joy U; Elikwu, Charles John; Denning, David W; Kanki, Phyllis J; Ogunsola, Folasade T.
Afiliação
  • Oladele RO; Department of Medical Microbiology & Parasitology, College of Medicine, University of Lagos, PMB 12003, Lagos, Nigeria.
  • Otu AA; Department of Internal Medicine, University of Calabar, Calabar, Nigeria.
  • Balogun OJ; Department of Biomedical Engineering, College of Medicine, University of Lagos, Lagos, Nigeria.
  • Babalola OM; Department of Biochemistry, College of Medicine, University of Lagos, Lagos, Nigeria.
  • Nwosu AO; Central Research Laboratory, College of Medicine, University of Lagos, Lagos, Nigeria.
  • Iyabo Osaigbovo I; Department of Medical Microbiology, College of Medical Sciences, University of Benin, Benin City, Nigeria.
  • Gbajabiamila T; National Institute for Medical Research, Lagos, Nigeria.
  • Irurhe NK; Department of Radiology, College of Medicine, University of Lagos, Lagos, Nigeria.
  • Fayemiwo SA; Department of Medical Microbiology & Parasitology, College of Medicine, University of Ibadan, University College Hospital, Ibadan, Nigeria.
  • Shettima SA; Department of Medical Microbiology, Parasitology and Immunology, Federal Medical Centre, Yola, Nigeria.
  • Uwaezuoke NS; Department of Medical Microbiology, Federal Medical Centre, Abuja, Nigeria.
  • Edwin CP; Department of Medical Microbiology, Aminu Kano Teaching Hospital, Kano, Nigeria.
  • Ayanbeku TS; Department of Medical Microbiology, Federal Medical Centre, Bida, Nigeria.
  • Okaa JU; Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Nigeria.
  • Elikwu CJ; Department of Medical Microbiology, Benjamin Carson College of Medicine, Babcock University, Ilishan-Remo, Nigeria.
  • Denning DW; National Aspergillosis Centre, Manchester University NHS Foundation Trust, Manchester, UK.
  • Kanki PJ; Department of Immunology and Infectious Diseases, Harvard T.H Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Ogunsola FT; Department of Medical Microbiology & Parasitology, College of Medicine, University of Lagos, Lagos, Nigeria.
Ther Adv Infect Dis ; 8: 20499361211050158, 2021.
Article em En | MEDLINE | ID: mdl-34646555
ABSTRACT
BACKGROUND AND

OBJECTIVES:

Commercial Aspergillus IgG antibody assays have become pivotal in the current diagnosis of chronic pulmonary aspergillosis (CPA). However, diagnostic cutoffs have been found to vary from manufactures' recommendations in different settings. This study aimed to establish the Aspergillus IgG reference range among Nigerians and determine a diagnostic cutoff for CPA.

METHODS:

Sera from 519 prospectively recruited healthy blood donors and 39 previously confirmed cases of CPA were analysed for Aspergillus IgG levels using the Bordier test kit (Bordier Affinity Products SA, Crissier, Switzerland). Accuracy versus cutoff profile and receiver operating characteristics (ROC) curve were analysed for both CPA cases and controls using the R-Studio (2020), (Window desktop, version 4.0.2 software with R packages "nnet" and "ROCR").

RESULTS:

Among healthy blood donors, 141 (27.2%) were aged 16-25 years with median (interquartile range, IQR) of 22 (20-24) years; 304 (58.6%) were aged 26-40 years with median (IQR) of 32 (29-36) years; while 74 (14.2%) were aged 41-60 years with median (IQR) of 46 (44-49.75). Median IgG level in respective age groups were 0.069 (0.009-0.181), 0.044 (0.014-0.202) and 0.056 (0.01-0.265) with no significant difference found in the three age categories (p = 0.69). The overall diagnostic cutoff for the diagnosis of CPA was 0.821 with an accuracy of 97.1% and area under the curve (AUC) = 0.986.

CONCLUSION:

The optimal diagnostic cutoff for diagnosing CPA in Nigerians using the Bordier kit was 0.821 which is lower than the manufacturer's recommended cutoff of 1.0. The determination of this cutoff among Nigerians will significantly enhance accurate identification of CPA and assessment of its true burden in Nigeria.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article