Serum Uric Acid and Hemoglobin Levels as Prognostic Factors for COVID-19 Disease in Lung Cancer Patients

Semra Özkan Öztürk, Zehra Kocaman, A. Inal
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Abstract

Objective: Cancer patients have a higher risk of COVID-19 infection compared to the healthy population. Therefore, the aim of this study is to assess the parameters and inflammatory indices that influence mortality in lung cancer patients who contract COVID-19. Material and Methods: The sample of this single-center retrospective study comprised 66 patients diagnosed with lung cancer and treated for COVID-19 between April 2020 and July 2021. The neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, prognostic index, modified Glasgow prognostic score, and COVID inflammatory score were calculated for all patients. A total of twenty-seven potential prognostic variables were identified for further analysis through univariate and multivariate analyses. Results: Seven variables with statistically significant prognostic values were identified as a result. The identified variables include having received chemotherapy in the last 28 days, hospitalization in the intensive care unit, the need for mechanical ventilation, receipt of COVID-19 corticosteroid treatment, serum uric acid level, hemoglobin level, and platelet count. The seven variables with prognostic value were subjected to Cox regression analysis. The results of the multivariate logistic regression analysis indicated that low hemoglobin and low uric acid levels emerged as independent risk factors for survival in lung cancer patients infected with COVID-19. Conclusion: To the best of our knowledge, this is the first study to suggest that serum hemoglobin levels less than 10 g/dL and serum uric acid levels less than 3.5 mg/dL can serve as prognostic factors in lung cancer patients infected with COVID-19, aiding in predicting mortality.
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血清尿酸和血红蛋白水平与肺癌患者COVID-19疾病预后的关系
目的:与健康人群相比,癌症患者感染COVID-19的风险更高。因此,本研究的目的是评估影响COVID-19肺癌患者死亡率的参数和炎症指标。材料和方法:这项单中心回顾性研究的样本包括66例诊断为肺癌并在2020年4月至2021年7月期间接受COVID-19治疗的患者。计算所有患者的中性粒细胞/淋巴细胞比值、血小板/淋巴细胞比值、预后指数、改良格拉斯哥预后评分和COVID炎症评分。通过单因素和多因素分析,共确定了27个潜在的预后变量进行进一步分析。结果:七个具有显著预后价值的变量被确定为结果。确定的变量包括最近28天内是否接受过化疗、在重症监护病房住院、是否需要机械通气、是否接受过COVID-19皮质类固醇治疗、血清尿酸水平、血红蛋白水平和血小板计数。对7个有预后价值的变量进行Cox回归分析。多因素logistic回归分析结果显示,低血红蛋白和低尿酸水平是影响COVID-19肺癌患者生存的独立危险因素。结论:据我们所知,这是第一个表明血清血红蛋白水平低于10 g/dL和血清尿酸水平低于3.5 mg/dL可以作为COVID-19感染肺癌患者的预后因素,有助于预测死亡率的研究。
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