TY - JOUR T1 - A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit JF - Saudi Medical Journal JO - Saudi Med J SP - 140 LP - 146 DO - 10.15537/smj.2019.2.22940 VL - 40 IS - 2 AU - Anna Rozaliyani AU - Rudyanto Sedono AU - Anwar Jusuf AU - Cleopas M. Rumende AU - Wahju Aniwidyaningsih AU - Erlina Burhan AU - Prasenohadi AU - Diah Handayani AU - Evy Yunihastuti AU - Forman E. Siagian AU - Achmad M. Jayusman AU - Adria Rusli AU - Saleha Sungkar AU - Joedo Prihartono AU - Ferry Hagen AU - Jacques F. Meis AU - Retno Wahyuningsih Y1 - 2019/02/01 UR - http://smj.org.sa/content/40/2/140.abstract N2 - Objectives: To improve the quality of invasive pulmonary aspergillosis (IPA) management for intensive care unit (ICU) patients using a practical diagnostic scoring model.Methods: This nested case-control study aimed to determine the incidence of IPA in 405 ICU patients, between July 2012 and June 2014, at 6 hospitals in Jakarta, Indonesia. Phenotypic identifications and galactomannan (GM) tests of sera and lung excreta were performed in mycology laboratory, Parasitology Department, Faculty of Medicine, Universitas Indonesia in Jakarta, Indonesia.Results: The incidence of IPA in the ICUs was 7.7% (31 of 405 patients). A scoring model used for IPA diagnosis showed 4 variables as the most potential risk factors: lung excreta GM index (score 2), solid organ malignancy (score 2), pulmonary tuberculosis (score 2), and systemic corticosteroids (score 1). Patients were included in a high-risk group if their score was >2, and in a low-risk group if their score was <2.Conclusion: This study provides a novel diagnosis scoring model to predict IPA in ICU patients. Using this model, a more rapid diagnosis and treatment of IPA may be possible. The application of the diagnosis scoring should be preceded by specified pre-requisites. ER -