Role of Pneumocystis jirovecii in patients with different pulmonary underlying condition using a nested-PCR.

Saved in:

Bibliographic Details
Title:	Role of Pneumocystis jirovecii in patients with different pulmonary underlying condition using a nested-PCR.
Alternate Title:	Papel de Pneumocystis jirovecii en pacientes con diferente patología pulmonar de baseusando una PCR anidada.
Authors:	Martínez Lamas, Lucía¹ lucia.martinez.lamas@sergas.es, Pérez Rodríguez, María Teresa², Álvarez Álvarez, Isabel¹, Bouza Soage, María Emilia¹, Figueroa Lamas, María del Pilar¹, Álvarez Fernández, Maximiliano¹
Source:	Revista Española de Quimioterapia. aug2018, Vol. 31 Issue 4, p336-343. 8p.
Subjects:	LUNG infections, HIV-positive persons, RIBOSOMAL RNA, NUCLEIC acid isolation methods, PATIENTS, DIAGNOSIS
Abstract:	Introduction. The prevalence of Pneumocystis jirovecii colonization and its role in pulmonary disease remains unclear. PCR methods have shown an improved sensitivity in the detection of this fungus. It has been suggested that the PCR results be combined with another test such as IFA to create a diagnostic algorithm. Material and methods. A multiplex nested-PCR procedure with a 16S rRNA gene as the internal amplification control was evaluated to determine the role of P. jirovecii in pulmonary disease. Results. A 20% of the 199 bronchoalveolar lavage samples were PCR-positive, 13.5% samples were PCR-inhibited, and the rate of Pneumocystis-colonisation was 6.4%. The sensitivity, specificity, positive predictive value and negative predictive value of the nested-PCR were 100%, 93%, 70% and 100%, respectively. The sensitivity of the nested-PCR was higher than the current "gold standard" immunofluorescence assay (IFA) (p< 0.0001). PCR-negative and PCR-positive patients did not show any clinical or radiological differences in the medical variables studied. Conclusion. PCR could help the diagnosis of Pneumocystis pulmonary disease given the high negative predictive value of the technique. P. jirovecii DNA can frequently be detected in healthy population, so the analysis of the patient medical history is critical to make the correct clinical decision. [ABSTRACT FROM AUTHOR]
	Copyright of Revista Española de Quimioterapia is the property of Sociedad Espanola de Quimioterapia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	MedicLatina

Description
Abstract:	Introduction. The prevalence of Pneumocystis jirovecii colonization and its role in pulmonary disease remains unclear. PCR methods have shown an improved sensitivity in the detection of this fungus. It has been suggested that the PCR results be combined with another test such as IFA to create a diagnostic algorithm. Material and methods. A multiplex nested-PCR procedure with a 16S rRNA gene as the internal amplification control was evaluated to determine the role of P. jirovecii in pulmonary disease. Results. A 20% of the 199 bronchoalveolar lavage samples were PCR-positive, 13.5% samples were PCR-inhibited, and the rate of Pneumocystis-colonisation was 6.4%. The sensitivity, specificity, positive predictive value and negative predictive value of the nested-PCR were 100%, 93%, 70% and 100%, respectively. The sensitivity of the nested-PCR was higher than the current "gold standard" immunofluorescence assay (IFA) (p< 0.0001). PCR-negative and PCR-positive patients did not show any clinical or radiological differences in the medical variables studied. Conclusion. PCR could help the diagnosis of Pneumocystis pulmonary disease given the high negative predictive value of the technique. P. jirovecii DNA can frequently be detected in healthy population, so the analysis of the patient medical history is critical to make the correct clinical decision. [ABSTRACT FROM AUTHOR]
ISSN:	02143429