PERAN DIAGNOSTIK PLATELET LYMPHOCYTE RATIO PADA PASIEN TERKONFIRMASI POSITIF COVID-19

Abstract

ABSTRACT

Coronavirus Disease 2019 (COVID-19) is the disease which was declared a global pandemic by the World Health Organization (WHO) in early 2020. Up to this date, the diagnosis of COVID-19 has been relying on the gold standard, namely RT-PCR which requires a fee relatively expensive and time consuming. Platelet lymphocyte ratio (PLR) is thought be a hematological biomarker that help health workers in determining the diagnosis of patients suffering from COVID-19. The purpose of this study is to determine the performance of PLR as a method for diagnosing COVID-19. This research is a quantitative study with a cross-sectional study approach. This study used secondary data using a sampling method in the form of consecutive sampling on medical record data of suspected COVID-19 patients stored at Soedirman General Hospital, Kebumen. Data were then analyzed using univariate and diagnostic test. There were 154 patient medical record data that met the inclusion and exclusion criteria. Diagnostic test analysis using the ROC curve and 2x2 table obtained an optimal PLR cut-off of 142.5 with a sensitivity of 62%, a specificity of 58%, a positive predictive value of 92%, a negative predictive value of 16%, likelihood ratio + 1.50, likelihood ratio - 0.64, and area under curve 0.583. The conclusion of this study was PLR cannot be used as a diagnostic for COVID-19

ABSTRAK

Coronavirus Disease 2019 (COVID-19) adalah penyakit yang dideklarasikan sebagai pandemi global oleh World Health Organization (WHO) pada awal tahun 2020. Diagnosis COVID-19 hingga saat ini bertumpu pada gold standart yakni RT-PCR yang membutuhkan biaya relatif mahal dan waktu yang cukup lama. Platelet lymphocyte ratio (PLR) diduga dapat sebagai biomarker hematologi yang dapat membantu tenaga kesehatan dalam penentuan diagnosis pasien menderita COVID-19. Penelitian ini bertujuan untuk mengetahui performa PLR sebagai metode diagnosis COVID-19. Penelitian ini merupakan studi kuantitatif dengan pendekatan cross-sectional. Penelitian ini menggunakan data sekunder dengan metode consecutive sampling dari rekam medis pasien suspek COVID-19 di RS X Kebumen. Data kemudian dianalisis univariat dan dilakukan uji diagnostik. Didapatkan sebanyak 154 data pasien yang memenuhi kriteria inklusi dan eksklusi. Analisis uji diagnostik menggunakan kurva ROC dan tabel 2x2 didapatkan cut-off optimal PLR sebesar 142,5 dengan sensitivitas 62%, spesifisitas 58%, positive predictive value (PPV) 92%, negative predictive value (NPV) 16%, likelihood ratio + 1.50, likelihood ratio - 0.64, dan area under curve 0,583. Kesimpulan penelitian ini bahwa PLR belum bisa digunakan sebagai diagnostik COVID-19