Popovici George-Cosmin, Georgescu Costinela-Valerica, Plesea Alina Condratovici, Arbune Anca-Adriana, Cristian Gutu, Arbune Manuela
School for Doctoral Studies in Biomedical Sciences, "Dunarea de Jos" University from Galati, 800008 Galati, Romania.
Pneumophtiziology Hospital Galati, 800189 Galati, Romania.
Trop Med Infect Dis. 2025 May 12;10(5):130. doi: 10.3390/tropicalmed10050130.
The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptomatic to critical forms. High mortality and morbidity rates have been associated with risk factors such as comorbidities, age, sex, and virulence factors specific to viral variants. Material and Methods: We retrospectively evaluated imaging characteristics using the Brixia radiological score in relation to favorable or unfavorable outcomes in adult patients. We included COVID-19 cases, admitted between 2020 and 2022, in a specialized pulmonology hospital with no intensive care unit. We analyzed 380 virologically confirmed COVID-19 cases, with a mean age of 52.8 ± 13.02 years. The mean Brixia radiological score at admission was 5.13 ± 3.56, reflecting predominantly mild-to-moderate pulmonary involvement. Multivariate analysis highlighted the utility of this score as a predictive marker for COVID-19 prognosis, with values >5 correlating with other severity biomarkers, NEWS-2 scores, and a lack of vaccination and hospitalization delay of more than 6 days from symptom onset. Summarizing, the Brixia score is itself an effective tool for screening COVID-19 cases at risk of death for early recognition of clinical deterioration and for decisions regarding appropriate care settings. Promoting vaccination can reduce the severity of radiological lesions, thereby decreasing the risk of death. Technologies based on artificial intelligence could optimize diagnosis and management decisions.
新型冠状病毒SARS-CoV-2大流行具有从无症状到重症等多种临床症状。高死亡率和发病率与合并症、年龄、性别等风险因素以及病毒变体特有的毒力因素有关。材料与方法：我们回顾性评估了成年患者中使用布里夏放射学评分与预后良好或不良相关的影像学特征。我们纳入了2020年至2022年间收治于一家无重症监护病房的专科肺病医院的新冠肺炎病例。我们分析了380例病毒学确诊的新冠肺炎病例，平均年龄为52.8±13.02岁。入院时的平均布里夏放射学评分为5.13±3.56，主要反映轻度至中度肺部受累。多变量分析强调了该评分作为新冠肺炎预后预测指标的实用性，评分>5与其他严重程度生物标志物、NEWS-2评分以及未接种疫苗和症状出现后住院延迟超过6天相关。总之，布里夏评分本身是筛查有死亡风险的新冠肺炎病例的有效工具，可用于早期识别临床恶化情况以及决定合适的护理环境。推广接种疫苗可降低放射学病变的严重程度，从而降低死亡风险。基于人工智能的技术可优化诊断和管理决策。
