Analisis Regresi Cox Pada Laju Keparahan Pasien COVID-19 di Rumah Sakit Universitas Airlangga Surabaya

Fadhilah, Nida Nibras (2022) Analisis Regresi Cox Pada Laju Keparahan Pasien COVID-19 di Rumah Sakit Universitas Airlangga Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

COVID-19 adalah penyakit menular yang disebabkan oleh jenis coronavirus yang baru ditemukan pertamakali di Wuhan, Tiongkok. Indonesia mengalami COVID-19 puncak gelombang kedua tepatnya mulai bulan Mei sampai Juli 2021. Pada saat gelombang kedua ini, kondisi BOR isolasi maupun ICU COVID-19 di Indonesia rata-rata terisi 82%. BOR isolasi COVID-19 di Jatim mencapai 83% atau terisi 12.873 dari total 15.591 bed. Sedangkan BOR ICU COVID-19 mencapai 79% atau terisi 1.065 dari total 1.342. Gelombang kedua di Surabaya puncaknya yaitu tanggal 16 Juli 2021 dengan 7.831 kasus terkonfirmasi positif dan 351 meninggal. Salah satu rumah sakit rujukan dalam penanganan COVID-19 di Jawa Timur adalah Rumah Sakit Universitas Airlangga yang memiliki kapasitas ICU terbanyak kedua di Surabaya. Penelitian ini bertujuan untuk menganalisis regresi cox pada laju keparahan pasien COVID-19 di Rumah Sakit Universitas Airlangga Surabaya dengan event yang diamati yaitu ketika pasien masuk ICU. Setelah melakukan analisis menggunakan metode Cox Proportional Hazard karena semua variabel telah memenuhi asumsi, diperoleh kesimpulan bahwa faktor-faktor yang berpengaruh pada laju keparahan COVID-19 di antaranya adalah usia, jenis kelamin, kadar limfosit, dan gejala sesak. Pasien dengan usia ≥50 tahun lebih berisiko 2,143 kali mengalami keparahan, pasien laki-laki lebih berisiko 1,806 kali mengalami keparahan, pasien yang memiliki kadar limfosit tidak normal lebih berisiko 3,734 kali mengalami keparahan, dan pasien yang mengalami gejala sesak lebih berisiko 1,833 kali mengalami keparahan.Kata kunci: BOR ICU, COVID-19, Laju Keparahan, Regresi Cox.
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COVID-19 is an infectious disease caused by a newly discovered strain of coronavirus first in Wuhan, China. Indonesia experienced the peak of the second wave of COVID-19 to be precise from May to July 2021. At the time of this second wave, the condition of the COVID-19 isolation drill and ICU in Indonesia was filled by an average of 82%. The COVID-19 isolation drill in East Java reached 83% or filled with 12,873 out of a total of 15,591 beds. Meanwhile, the COVID-19 ICU drill reached 79% or filled with 1,065 out of a total of 1,342. The second wave in Surabaya peaked on July 16, 2021 with 7,831 positive confirmed cases and 351 deaths. One of the referral hospitals in handling COVID-19 in East Java is Airlangga University Hospital which has the second most ICU capacity in Surabaya. This study aims to analyze cox regression on the severity of covid-19 patients at Airlangga University Hospital Surabaya with the observed event, namely when the patient enters ICU. After conducting an analysis using the Cox Proportional Hazard method because all variables have met the assumptions, it was concluded that the factors that influence the severity of COVID-19 include age, gender, lymphocyte levels, and symptoms of tightness. Patients aged ≥50 years were 2,143 times more likely to experience severity, male patients were 1,806 times more likely to experience severity, patients who had abnormal lymphocyte levels were 3,734 times more likely to experience severity, and patients who experienced symptoms of tightness were 1,833 times more at risk of experiencing severity.Keywords: ICU Bed Occupancy Rate, COVID-19, Severity Rate, Cox Regression.

Item Type:	Thesis (Other)
Additional Information:	RSSt 519.546 Fad a-1 2022
Uncontrolled Keywords:	Cox Regression, ICU Drill, Severity, Survival Analysis. BOR ICU, COVID-19, Laju Keparahan, Regresi Cox.
Subjects:	H Social Sciences > HA Statistics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	11 Jun 2026 03:56
Last Modified:	11 Jun 2026 03:56
URI:	http://repository.its.ac.id/id/eprint/133729

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