RT Journal Article SR Electronic T1 A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit JF Saudi Medical Journal JO Saudi Med J FD Prince Sultan Military Medical City SP 140 OP 146 DO 10.15537/smj.2019.2.22940 VO 40 IS 2 A1 Anna Rozaliyani A1 Rudyanto Sedono A1 Anwar Jusuf A1 Cleopas M. Rumende A1 Wahju Aniwidyaningsih A1 Erlina Burhan A1 Prasenohadi A1 Diah Handayani A1 Evy Yunihastuti A1 Forman E. Siagian A1 Achmad M. Jayusman A1 Adria Rusli A1 Saleha Sungkar A1 Joedo Prihartono A1 Ferry Hagen A1 Jacques F. Meis A1 Retno Wahyuningsih YR 2019 UL http://smj.org.sa/content/40/2/140.abstract AB 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.