M. Mudatsir, - (2021) Predictors of COVID-19 severity: a systematic review and meta-analysis [version 2; peer review: 2 approved]. F1000Research. pp. 1-26.
Abstract
Latar Belakang: Perkembangan penyakit coronavirus 2019 (COVID-19) yang tidak dapat diprediksi dapat dikaitkan dengan rendahnya presisi alat yang digunakan untuk memprediksi prognosis penyakit ini. Tujuan: Untuk mengidentifikasi prediktor yang terkait dengan hasil klinis yang buruk pada pasien dengan COVID-19. Metode: Artikel yang relevan dari PubMed, Embase, Cochrane, dan Web of Science dicari pada tanggal 5 April 2020. Kualitas makalah yang disertakan dinilai menggunakan skala Newcastle-Ottawa (NOS). Data yang menarik dikumpulkan dan dievaluasi kompatibilitasnya untuk meta-analisis. Perhitungan kumulatif untuk menentukan korelasi dan perkiraan efek dilakukan dengan menggunakan uji Z. Hasil: Secara total, 19 makalah yang mencatat 1.934 kasus ringan dan 1.644 kasus parah dimasukkan. Berdasarkan evaluasi awal, 62 faktor risiko potensial diidentifikasi untuk meta-analisis. Beberapa penyakit penyerta, termasuk penyakit pernapasan kronis, penyakit kardiovaskular, diabetes mellitus, dan hipertensi diamati lebih sering di antara pasien dengan COVID-19 parah dibandingkan dengan yang ringan. Dibandingkan dengan bentuk ringan, COVID-19 berat dikaitkan dengan gejala seperti dispnea, anoreksia, kelelahan, peningkatan laju pernapasan, dan tekanan darah sistolik yang tinggi. Tingkat limfosit dan hemoglobin yang lebih rendah; peningkatan kadar leukosit, aspartat aminotransferase, alanine aminotransferase, kreatinin darah, nitrogen urea darah, troponin sensitivitas tinggi, kreatin kinase, protein C-reaktif sensitivitas tinggi, interleukin 6, D-dimer, feritin, laktat dehidrogenase, dan prokalsitonin; dan tingkat sedimentasi eritrosit yang tinggi juga dikaitkan dengan COVID-19 yang parah. Kesimpulan: Lebih dari 30 faktor risiko dikaitkan dengan risiko COVID-19 parah yang lebih tinggi. Ini dapat berfungsi sebagai parameter dasar yang berguna dalam pengembangan alat prediksi untuk prognosis COVID-19.
English Abstract
Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-19) may be attributed to the low precision of the tools used to predict the prognosis of this disease. Objective: To identify the predictors associated with poor clinical outcomes in patients with COVID-19. Methods: Relevant articles from PubMed, Embase, Cochrane, and Web of Science were searched as of April 5, 2020. The quality of the included papers was appraised using the Newcastle-Ottawa scale (NOS). Data of interest were collected and evaluated for their compatibility for the meta-analysis. Cumulative calculations to determine the correlation and effect estimates were performed using the Z test. Results: In total, 19 papers recording 1,934 mild and 1,644 severe cases of COVID-19 were included. Based on the initial evaluation, 62 potential risk factors were identified for the meta-analysis. Several comorbidities, including chronic respiratory disease, cardiovascular disease, diabetes mellitus, and hypertension were observed more frequent among patients with severe COVID-19 than with the mild ones. Compared to the mild form, severe COVID-19 was associated with symptoms such as dyspnea, anorexia, fatigue, increased respiratory rate, and high systolic blood pressure. Lower levels of lymphocytes and hemoglobin; elevated levels of leukocytes, aspartate aminotransferase, alanine aminotransferase, blood creatinine, blood urea nitrogen, high-sensitivity troponin, creatine kinase, high-sensitivity C-reactive protein, interleukin 6, D-dimer, ferritin, lactate dehydrogenase, and procalcitonin; and a high erythrocyte sedimentation rate were also associated with severe COVID-19. Conclusion: More than 30 risk factors are associated with a higher risk of severe COVID-19. These may serve as useful baseline parameters in the development of prediction tools for COVID-19 prognosis.
| Item Type: | Article |
|---|---|
| Depositing User: | Unnamed user with email repository.ub@ub.ac.id |
| Date Deposited: | 15 Dec 2021 06:21 |
| Last Modified: | 15 Dec 2021 06:21 |
| URI: | http://repository.ub.ac.id/id/eprint/187001 |
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