Development of a clinical prediction rule to diagnose Pneumocystis jirovecii pneumonia in the World Health Organization’s algorithm for seriously ill HIV-infected patients

Development of a clinical prediction rule to diagnose Pneumocystis jirovecii pneumonia in the World Health Organization’s algorithm for seriously ill HIV-infected patients

Background: The World Health Organization (WHO) algorithm for the diagnosis of tuberculosis in seriously ill HIV-infected patients recommends that treatment for Pneumocystis jiroveciipneumonia (PJP) should be considered without giving clear guidance on selecting patients for empiric PJP therapy. PJP...

Full description

Bibliographic Details
Main Authors: Gary Maartens, Annemie Stewart, Rulan Griesel, Andre P. Kengne, Felix Dube, Mark Nicol, Molebogeng X. Rangaka, Marc Mendelson
Format: Article
Language:English
Published: AOSIS 2018-07-01
Series:Southern African Journal of HIV Medicine
Subjects:
HIV
pneumocystis jirovecii pneumonia
clinical prediction rule
quantitative real time PCR
beta-D-glucan
tuberculosis
Online Access:https://sajhivmed.org.za/index.php/hivmed/article/view/851

Similar Items

Similar Items