Budin Corina Eugenia, Nemeș Alexandra Floriana, Râjnoveanu Ruxandra-Mioara, Nemeș Roxana Maria, Rajnoveanu Armand Gabriel, Sabău Adrian Horațiu, Cocuz Iuliu Gabriel, Mareș Răzvan Gheorghita, Oniga Vlad Iustinian, Pătrîntașu Dariana Elena, Cotoi Ovidiu Simion
Pathophysiology Department, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mures, 540139 Targu Mures, Romania.
Pneumology Department, Mures Clinical County Hospital, 540142 Targu Mures, Romania.
J Pers Med. 2023 Aug 7;13(8):1235. doi: 10.3390/jpm13081235.
The correlation of the inflammatory profile with the severity of the disease in neoplastic patients with SARS-CoV-2 infection was addressed.
A database of 1537 patients hospitalized in the pneumology department was analyzed. After applying the inclusion and exclusion criteria, 83 patients (67% males, 33% females) were included.
Most of the analyzed patients were hospitalized with a moderate form of disease, explaining the significant percentage of 25% mortality. The frequency of the type of neoplasm was higher for lung cancer, followed by malignant colon tumor. We identified a significant association between the increased value of ferritin ( < 0.0001, OR = 22.31), fibrinogen ( = 0.009, OR = 13.41), and C-reactive protein ( = 0.01, OR = 7.65), respectively, and the level of severity of COVID-19. The results of the univariate logistic regression analysis for predicting the severity of the disease revealed that the increased values of ferritin ( = 0.001, OR = 22.31) and fibrinogen ( = 0.02, OR = 13.41) represent a risk for a serious negative prognosis of COVID-19.
Our study demonstrated that the value of the analyzed inflammatory parameters increased in direct proportion to the severity of the disease and that higher values were associated with increased mortality in the study group.
探讨了炎症指标与感染SARS-CoV-2的肿瘤患者疾病严重程度之间的相关性。
分析了呼吸内科收治的1537例患者的数据库。应用纳入和排除标准后，纳入83例患者（男性67%，女性33%）。
大多数分析患者以中度疾病形式住院，这解释了25%的高死亡率。肿瘤类型的发生率以肺癌最高，其次是恶性结肠肿瘤。我们分别确定铁蛋白（<0.0001，OR=22.31）、纤维蛋白原（=0.009，OR=13.41）和C反应蛋白（=0.01，OR=7.65）值升高与COVID-19疾病严重程度之间存在显著关联。预测疾病严重程度的单因素逻辑回归分析结果显示，铁蛋白（=0.001，OR=22.31）和纤维蛋白原（=0.02，OR=13.41）值升高代表COVID-19严重不良预后的风险。
我们的研究表明，所分析的炎症参数值与疾病严重程度成正比增加，且较高的值与研究组死亡率增加相关。
