Yucal Aykut, Burak Sayhan Mustafa, Salt Ömer, Dıbırdık İlker, Çalın Sinem
Trakya University School of Medicine, Department of Emergency Medicine, Edirne, Turkey.
Kayseri City Hospital, Department of Emergency Medicine, Kayseri, Turkey.
Heliyon. 2024 Nov 7;10(22):e39976. doi: 10.1016/j.heliyon.2024.e39976. eCollection 2024 Nov 30.
To investigate the serum surfactant protein D (SP-D) level required to determine the diagnosis and prognosis of coronavirus disease 2019 (COVID-19), and create a new scale for disease prognosis prediction.
This study was conducted among 64 patients with COVID-19 symptoms and 16 healthy volunteers. The participants were assessed by comparing "Controls/Patients", "PCR-negative/PCR-positive", "Simple COVID-19/Acute respiratory distress syndrome (ARDS)-accompanied COVID-19", "Mild ARDS/Moderate-severe ARDS", and "Survived/Dead" subgroups. Serum SP-D levels and pulmonary infiltration area (volume and percentage) measurements on CT were compared between the groups. A new scale, the "CHARISMA Score", was created by logistic regression method for a complete prognosis assessment. This includes confusion, heart rate, age, respiratory rate, percentage of infiltration on CT, serum SP-D level, mean arterial pressure and SaO.
Serum SP-D levels differed significantly across the groups. There was a strong correlation between SP-D levels and infiltration volumes. CHARISMA scores were higher in the severe than in the mild ARDS group and in patients who died than in survivors. In the receiver operating characteristic curve analysis of the CHARISMA scores, a cutoff value of 4 indicated mortality.
Serum SP-D levels can be used to determine COVID-19 diagnosis and prognosis, and the CHARISMA score can be used to predict prognosis and mortality risk in patients with COVID-19 pneumonia.
研究用于确定2019冠状病毒病(COVID-19)诊断和预后所需的血清表面活性蛋白D(SP-D)水平,并创建一种新的疾病预后预测量表。
本研究在64例有COVID-19症状的患者和16名健康志愿者中进行。通过比较“对照组/患者组”、“PCR阴性/PCR阳性”、“单纯COVID-19/伴有急性呼吸窘迫综合征(ARDS)的COVID-19”、“轻度ARDS/中度-重度ARDS”以及“存活/死亡”亚组对参与者进行评估。比较各组之间血清SP-D水平以及CT上肺浸润面积(体积和百分比)的测量值。通过逻辑回归方法创建了一种新的量表“CHARISMA评分”,用于全面的预后评估。这包括意识模糊、心率、年龄、呼吸频率、CT上的浸润百分比、血清SP-D水平、平均动脉压和动脉血氧饱和度。
各组之间血清SP-D水平存在显著差异。SP-D水平与浸润体积之间存在强相关性。重度ARDS组的CHARISMA评分高于轻度ARDS组,死亡患者的评分高于存活者。在CHARISMA评分的受试者工作特征曲线分析中,临界值为4表明死亡。
血清SP-D水平可用于确定COVID-19的诊断和预后,CHARISMA评分可用于预测COVID-19肺炎患者的预后和死亡风险。