A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit

Anna Rozaliyani; Rudyanto Sedono; Anwar Jusuf; Cleopas M Rumende; Wahju Aniwidyaningsih; Erlina Burhan; Prasenohadi Prasenohadi; Diah Handayani; Evy Yunihastuti; Forman E Siagian; Achmad M Jayusman; Adria Rusli; Saleha Sungkar; Joedo Prihartono; Ferry Hagen; Jacques F Meis; Retno Wahyuningsih

doi:10.15537/smj.2019.2.22940

A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit

Anna Rozaliyani, Rudyanto Sedono, Anwar Jusuf, Cleopas M Rumende, Wahju Aniwidyaningsih, Erlina Burhan, Prasenohadi Prasenohadi, Diah Handayani, Evy Yunihastuti, Forman E Siagian, Achmad M Jayusman, Adria Rusli, Saleha Sungkar, Joedo Prihartono, Ferry Hagen, Jacques F Meis, Retno Wahyuningsih

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Artikel › Wetenschappelijk › peer review

8 Citaten (Scopus)

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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 greater than 2, and in a low-risk group if their score was less than 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.

Originele taal-2	Engels
Pagina's (van-tot)	140-146
Aantal pagina's	7
Tijdschrift	Saudi medical journal
Volume	40
Nummer van het tijdschrift	2
DOI's	https://doi.org/10.15537/smj.2019.2.22940
Status	Gepubliceerd - feb. 2019

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Rozaliyani, A., Sedono, R., Jusuf, A., Rumende, C. M., Aniwidyaningsih, W., Burhan, E., Prasenohadi, P., Handayani, D., Yunihastuti, E., Siagian, F. E., Jayusman, A. M., Rusli, A., Sungkar, S., Prihartono, J., Hagen, F., Meis, J. F., & Wahyuningsih, R. (2019). A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit. Saudi medical journal, 40(2), 140-146. https://doi.org/10.15537/smj.2019.2.22940

@article{c39ef6f4d7cb4a459c33b98cbf4aeec4,

title = "A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit",

abstract = "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 greater than 2, and in a low-risk group if their score was less than 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.",

keywords = "Adrenal Cortex Hormones/therapeutic use, Case-Control Studies, Humans, Incidence, Indonesia/epidemiology, Intensive Care Units/statistics & numerical data, Mannans/metabolism, Middle Aged, Neoplasms/complications, Predictive Value of Tests, Pulmonary Aspergillosis/complications, Risk Factors, Tuberculosis, Pulmonary/complications",

author = "Anna Rozaliyani and Rudyanto Sedono and Anwar Jusuf and Rumende, {Cleopas M} and Wahju Aniwidyaningsih and Erlina Burhan and Prasenohadi Prasenohadi and Diah Handayani and Evy Yunihastuti and Siagian, {Forman E} and Jayusman, {Achmad M} and Adria Rusli and Saleha Sungkar and Joedo Prihartono and Ferry Hagen and Meis, {Jacques F} and Retno Wahyuningsih",

year = "2019",

month = feb,

doi = "10.15537/smj.2019.2.22940",

language = "English",

volume = "40",

pages = "140--146",

journal = "Saudi medical journal",

issn = "0379-5284",

publisher = "Saudi Arabian Armed Forces Hospital",

number = "2",

}

Rozaliyani, A, Sedono, R, Jusuf, A, Rumende, CM, Aniwidyaningsih, W, Burhan, E, Prasenohadi, P, Handayani, D, Yunihastuti, E, Siagian, FE, Jayusman, AM, Rusli, A, Sungkar, S, Prihartono, J, Hagen, F, Meis, JF & Wahyuningsih, R 2019, 'A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit', Saudi medical journal, vol. 40, nr. 2, blz. 140-146. https://doi.org/10.15537/smj.2019.2.22940

TY - JOUR

T1 - A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit

AU - Rozaliyani, Anna

AU - Sedono, Rudyanto

AU - Jusuf, Anwar

AU - Rumende, Cleopas M

AU - Aniwidyaningsih, Wahju

AU - Burhan, Erlina

AU - Prasenohadi, 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

PY - 2019/2

Y1 - 2019/2

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 greater than 2, and in a low-risk group if their score was less than 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.

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 greater than 2, and in a low-risk group if their score was less than 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.

KW - Adrenal Cortex Hormones/therapeutic use

KW - Case-Control Studies

KW - Humans

KW - Incidence

KW - Indonesia/epidemiology

KW - Intensive Care Units/statistics & numerical data

KW - Mannans/metabolism

KW - Middle Aged

KW - Neoplasms/complications

KW - Predictive Value of Tests

KW - Pulmonary Aspergillosis/complications

KW - Risk Factors

KW - Tuberculosis, Pulmonary/complications

U2 - 10.15537/smj.2019.2.22940

DO - 10.15537/smj.2019.2.22940

M3 - Article

C2 - 30723858

SN - 0379-5284

VL - 40

SP - 140

EP - 146

JO - Saudi medical journal

JF - Saudi medical journal

IS - 2

ER -

A novel diagnosis scoring model to predict invasive pulmonary aspergillosis in the intensive care unit

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