Publikasi Scopus 2010 s/d 2022

Yunihastuti E., Karjadi T.H., Widhani A., Mahdi H.I.S., Sundari S., Hapsari A.F., Koesnoe S., Djauzi S.
57221273925;57219422563;57202561455;57912931600;57571604800;57224070662;26028015000;23495847800;
Incidence and severity prediction score of COVID-19 in people living with HIV (SCOVHIV): experience from the first and second waves of the pandemic in Indonesia
2022
AIDS Research and Therapy
19
1
47
1
Division of Allergy and Clinical Immunology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jl. Diponegoro no. 71, Jakarta, 10430, Indonesia; HIV Integrated Unit, Cipto Mangunkusumo Hospital, Jakarta, Indonesia; Sentra Medika Hospital, West Java, Depok, Indonesia; Department of Internal Medicine, Universitas Indonesia Hospital, West Java, Depok, Indonesia; Department of Non-Oncology Internal Medicine, Dharmais National Cancer Hospital, Jakarta, Indonesia
Yunihastuti, E., Division of Allergy and Clinical Immunology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jl. Diponegoro no. 71, Jakarta, 10430, Indonesia, HIV Integrated Unit, Cipto Mangunkusumo Hospital, Jakarta, Indonesia; Karjadi, T.H., Division of Allergy and Clinical Immunology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jl. Diponegoro no. 71, Jakarta, 10430, Indonesia, HIV Integrated Unit, Cipto Mangunkusumo Hospital, Jakarta, Indonesia, Sentra Medika Hospital, West Java, Depok, Indonesia; Widhani, A., Division of Allergy and Clinical Immunology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jl. Diponegoro no. 71, Jakarta, 10430, Indonesia, HIV Integrated Unit, Cipto Mangunkusumo Hospital, Jakarta, Indonesia, Department of Internal Medicine, Universitas Indonesia Hospital, West Java, Depok, Indonesia; Mahdi, H.I.S., Department of Non-Oncology Internal Medicine, Dharmais National Cancer Hospital, Jakarta, Indonesia; Sundari, S., HIV Integrated Unit, Cipto Mangunkusumo Hospital, Jakarta, Indonesia; Hapsari, A.F., HIV Integrated Unit, Cipto Mangunkusumo Hospital, Jakarta, Indonesia; Koesnoe, S., Division of Allergy and Clinical Immunology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jl. Diponegoro no. 71, Jakarta, 10430, Indonesia; Djauzi, S., Division of Allergy and Clinical Immunology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jl. Diponegoro no. 71, Jakarta, 10430, Indonesia, Department of Non-Oncology Internal Medicine, Dharmais National Cancer Hospital, Jakarta, Indonesia
Background: People living with HIV (PLHIV) have higher risk of COVID-19 infection and mortality due to COVID-19. Health professionals should be able to assess PLHIV who are more likely to develop severe COVID-19 and provide appropriate medical treatment. This study aimed to assess clinical factors associated with COVID-19 severity and developed a scoring system to predict severe COVID-19 infection among PLHIV. Methods: This retrospective cohort study evaluated PLHIV at four hospitals diagnosed with COVID-19 during the first and second wave COVID-19 pandemic in Indonesia. The independent risk factors related to the severity of COVID-19 were identified with multivariate logistic regression. Results: 342 PLHIV were diagnosed with COVID-19, including 23 with severe-critical diseases. The cumulative incidence up to December 2021 was 0.083 (95% CI 0.074–0.092). Twenty-three patients developed severe-critical COVID-19, and the mortality rate was 3.2% (95% CI 1.61%–5.76%). Having any comorbidity, CD4 count of < 200 cells/mm3, not being on ART, and active opportunistic infection were independent risk factors for developing severe COVID-19. SCOVHIV score was formulated to predict severity, with 1 point for each item. A minimum score of 3 indicated a 58.4% probability of progressing to severe COVID-19. This scoring system had a good discrimination ability with the area under the curve (AUC) of 0.856 (95% CI 0.775–0.936). Conclusion: SCOVHIV score, a four-point scoring system, had good accuracy in predicting COVID-19 severity in PLHIV. © 2022, The Author(s).
COVID-19; HIV; Incidence; Indonesia; Severity prediction score
dolutegravir; efavirenz; lopinavir plus ritonavir; nevirapine; tenofovir; zidovudine; adult; area under the curve; Article; body mass; cardiovascular disease; CD4 lymphocyte count; chronic kidney failure; clinical outcome; cohort analysis; coronavirus disease 2019; cumulative incidence; diabetes mellitus; disease severity; female; health practitioner; hospitalization; human; Human immunodeficiency virus infected patient; Human immunodeficiency virus infection; hypertension; Indonesia; major clinical study; male; mortality; mortality rate; multivariate logistic regression analysis; obesity; pandemic; polymerase chain reaction; prediction; probability; retrospective study; risk factor; scoring system; tuberculosis; virus load; complication; Human immunodeficiency virus infection; incidence;
The authors would like to acknowledge the staff collecting data in the medical record of each hospital; Dede Bahtiar (Cipto Mangunkusumo Hospital), Dyaning Arie Saliring Tyas (Sentra Medika Hospital), Mustika Munthe Kristia (Dharmais National Cancer Hospital).
BioMed Central Ltd
17426405
36192742
Article
Q2
827
5468