Modified HScore Predicts Increased Length of Stay but not Mortality in ICU Patients with COVID-19- A Retrospective Cohort Study

Gill Jaskirat K, Anders Megan G, Bhutta Adnan T, G. Miranda, R. Peter, S. Thomas, Tabatabai Ali
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Abstract

Hemophagocytic Lymphohistiocytosis (HLH) is an acute and rapidly progressive systemic inflammatory disorder that can be classified into primary HLH (pHLH), which is a pediatric disease, and secondary HLH (sHLH), which can be associated with infection, malignancy, systemic diseases or drugs [1 ]. The disease is characterized by cytopenia, excessive cytokine production, and hyperferritinemia, and clinically presents with ongoing fevers, lymphadenopathy, hepatosplenomegaly, and multiorgan failure. Of these characteristics, impaired cytotoxic cell function is perhaps the most important and leads to massive cytokine release and a cytokine storm [2 ]. In 2014 Fardet, et al. developed the HScore which combines physical exam findings and laboratory values to aid in the diagnosis of HLH with a 93% sensitivity and 86% specificity [ 2 , 3]. Viral infections are the predominant cause of sHLH, with the most recent inclusion of severe acute respiratory syndrome from coronavirus 2 (SARS-CoV-2), or COVID-19. Overall hospital mortality from COVID-19 early on in the disease was reported to be approximately 15-20%, with up to 40% of patients requiring ICU admission whereas more recent mortality numbers range from 10-20% [ 4 , 5 ]. The wider range can be attributed to proportionally more younger patients being affected later in the course, additional experience over time and the widespread use of therapies such as prone positioning, steroids and immune modulators. While an association between elevated HScore and adverse outcomes in COVID-19 patients has been proposed, its utility as a risk-stratification tool has not been established in patients with COVID-19 [ 6]. We therefore undertook this study to investigate whether HScore within the first 24 hours of admission can be used as a prognostic tool to predict outcomes of critically ill adults with COVID-19. We hypothesized that a higher score may be associated with higher mortality.
一项回顾性队列研究:改良HScore预测COVID-19 ICU患者住院时间增加,但不能预测死亡率
噬血细胞性淋巴组织细胞病(Hemophagocytic lymphohitiocytosis, HLH)是一种急性、快速进展的全身性炎症性疾病,可分为原发性HLH (pHLH),是一种儿科疾病,以及继发性HLH (sHLH),可与感染、恶性肿瘤、全身性疾病或药物有关[1]。该病的特征是细胞减少、细胞因子产生过多和高铁蛋白血症,临床表现为持续发热、淋巴结病、肝脾肿大和多器官功能衰竭。在这些特征中,细胞毒性细胞功能受损可能是最重要的,并导致大量细胞因子释放和细胞因子风暴[2]。2014年,Fardet等人开发了HScore,结合体检结果和实验室值来帮助诊断HLH,其灵敏度为93%,特异性为86%[2,3]。病毒感染是sHLH的主要原因,最近包括由冠状病毒2引起的严重急性呼吸综合征(SARS-CoV-2)或COVID-19。据报道,COVID-19在疾病早期的总体住院死亡率约为15-20%,其中高达40%的患者需要入住ICU,而最近的死亡率在10-20%之间[4,5]。更大的范围可归因于更多的年轻患者在病程的后期受到影响,随着时间的推移,更多的经验和广泛使用诸如俯卧位,类固醇和免疫调节剂等疗法。虽然已经提出了HScore升高与COVID-19患者不良结局之间的关联,但其作为风险分层工具在COVID-19患者中的应用尚未得到证实[6]。因此,我们开展了这项研究,以调查入院前24小时内的HScore是否可以作为预测COVID-19危重成人结局的预后工具。我们假设较高的分数可能与较高的死亡率相关。
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