doi:10.1186/s12981-022-00472-1...
BioMed Central
Medicine & Public Health
2022
10/5/2022
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/mm^3, 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.
Yunihastuti, Evy,Karjadi, Teguh Harjono,Widhani, Alvina,Mahdi, Haridana Indah Setiawati,Sundari, Salma,Hapsari, Aljira Fitya,Koesnoe, Sukamto,Djauzi, Samsuridjal, 2022, 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, BioMed Central