Sue & Bill Gross School of Nursing, University of California Irvine, Irvine, CA, USA.
University of Miami, Coral Gables, FL, USA.
Sci Rep. 2022 Sep 23;12(1):15905. doi: 10.1038/s41598-022-20214-7.
Long-haul COVID-19, also called post-acute sequelae of SARS-CoV-2 (PASC), is a new illness caused by SARS-CoV-2 infection and characterized by the persistence of symptoms. The purpose of this cross-sectional study was to identify a distinct and significant temporal pattern of PASC symptoms (symptom type and onset) among a nationwide sample of PASC survivors (n = 5652). The sample was randomly sorted into two independent samples for exploratory (EFA) and confirmatory factor analyses (CFA). Five factors emerged from the EFA: (1) cold and flu-like symptoms, (2) change in smell and/or taste, (3) dyspnea and chest pain, (4) cognitive and visual problems, and (5) cardiac symptoms. The CFA had excellent model fit (x = 513.721, df = 207, p < 0.01, TLI = 0.952, CFI = 0.964, RMSEA = 0.024). These findings demonstrate a novel symptom pattern for PASC. These findings can enable nurses in the identification of at-risk patients and facilitate early, systematic symptom management strategies for PASC.
长新冠,也被称为 SARS-CoV-2 的急性后期后遗症(PASC),是一种由 SARS-CoV-2 感染引起的新疾病,其特征是症状持续存在。本横断面研究的目的是在全国范围内的 PASC 幸存者(n=5652)样本中确定 PASC 症状(症状类型和发病时间)的独特且显著的时间模式。该样本被随机分为两个独立的样本进行探索性(EFA)和验证性因子分析(CFA)。EFA 得出了五个因素:(1)感冒和流感样症状;(2)嗅觉和/或味觉改变;(3)呼吸困难和胸痛;(4)认知和视觉问题;(5)心脏症状。CFA 具有极好的模型拟合度(x=513.721,df=207,p<0.01,TLI=0.952,CFI=0.964,RMSEA=0.024)。这些发现表明了 PASC 的一种新的症状模式。这些发现可以使护士识别高危患者,并促进 PASC 的早期、系统的症状管理策略。