Sai Bharath Boyina V, Tudu Promod K, Dash Subhash C, Sahoo Nalinikanta
Department of Neurology, Jawaharlal Nehru Medical College, Karnataka, IND.
Department of General Medicine, Institute of Medical Sciences and SUM Hospital, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, IND.
Cureus. 2023 Jun 28;15(6):e41065. doi: 10.7759/cureus.41065. eCollection 2023 Jun.
Coronavirus disease 2019 (COVID-19) is still causing disastrous effects in various parts of the world through recurring waves. Real-time reverse transcription polymerase chain reaction (RT-PCR)-negative COVID-19 is particularly challenging as these patients are less likely to receive treatment and more likely to progress to severe disease. Thus, it is imperative to find markers that can predict the severity of disease at an early stage. The objective of the present study was to analyze the association of ferritin levels with severe disease in RT-PCR-negative COVID-19 patients.
A prospective cross-sectional analytical study was conducted in adults with COVID-19 pneumonia with a negative RT-PCR test from October 2020 to September 2021. Hematologic, biochemical, and inflammatory parameters were investigated within 24 h of hospitalization. Demographic, clinical, and laboratory findings were compared between patients with and without severe disease.
A total of 220 patients were included. The mean age of the study participants was 47.3 ± 14.2 years, and 55.5% (n=122) were male. C-reactive protein, D-dimer, and ferritin levels were significantly higher in patients with severe disease (p<0.01). Receiver operating characteristic curve analyses were performed, and ferritin was found as significant predictor of severe disease (area under the curve=0.642, p<0.001).
Early analysis of ferritin can predict the severity of disease in COVID-19 patients, irrespective of the RT-PCR status.
2019冠状病毒病(COVID-19)仍在世界各地通过反复出现的疫情浪潮造成灾难性影响。实时逆转录聚合酶链反应(RT-PCR)阴性的COVID-19尤其具有挑战性,因为这些患者接受治疗的可能性较小,且更有可能进展为重症疾病。因此,找到能够在疾病早期预测疾病严重程度的标志物至关重要。本研究的目的是分析RT-PCR阴性的COVID-19患者中铁蛋白水平与重症疾病的相关性。
对2020年10月至2021年9月RT-PCR检测呈阴性的COVID-19肺炎成年患者进行了一项前瞻性横断面分析研究。在住院24小时内对血液学、生化和炎症参数进行了调查。对有重症和无重症患者的人口统计学、临床和实验室检查结果进行了比较。
共纳入220例患者。研究参与者的平均年龄为47.3±14.2岁,55.5%(n = 122)为男性。重症患者的C反应蛋白、D-二聚体和铁蛋白水平显著更高(p<0.01)。进行了受试者工作特征曲线分析,发现铁蛋白是重症疾病的重要预测指标(曲线下面积 = 0.642,p<0.001)。
铁蛋白的早期分析可以预测COVID-19患者的疾病严重程度,无论RT-PCR检测结果如何。