PT  - JOURNAL ARTICLE
AU  - Rozaliyani, Anna
AU  - Sedono, Rudyanto
AU  - Jusuf, Anwar
AU  - Rumende, Cleopas M.
AU  - Aniwidyaningsih, Wahju
AU  - Burhan, Erlina
AU - Prasenohadi
AU  - Handayani, Diah
AU  - Yunihastuti, Evy
AU  - Siagian, Forman E.
AU  - Jayusman, Achmad M.
AU  - Rusli, Adria
AU  - Sungkar, Saleha
AU  - Prihartono, Joedo
AU  - Hagen, Ferry
AU  - Meis, Jacques F.
AU  - Wahyuningsih, Retno
TI  - A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit
AID  - 10.15537/smj.2019.2.22940
DP  - 2019 Feb 01
TA  - Saudi Medical Journal
PG  - 140--146
VI  - 40
IP  - 2
4099  - http://smj.org.sa/content/40/2/140.short
4100  - http://smj.org.sa/content/40/2/140.full
SO  - Saudi Med J2019 Feb 01; 40
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.