Pawlowski Colin, Venkatakrishnan A J, Ramudu Eshwan, Kirkup Christian, Puranik Arjun, Kayal Nikhil, Berner Gabriela, Anand Akash, Barve Rakesh, O'Horo John C, Badley Andrew D, Soundararajan Venky
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EClinicalMedicine. 2021 Apr;34:100793. doi: 10.1016/j.eclinm.2021.100793. Epub 2021 Mar 23.
Consecutive negative SARS-CoV-2 PCR test results are being considered to estimate viral clearance in COVID-19 patients. However, there are anecdotal reports of hospitalization from protracted COVID-19 complications despite such confirmed viral clearance, presenting a clinical conundrum.
We conducted a retrospective analysis of 222 hospitalized COVID-19 patients to compare those that were readmitted post-viral clearance ( = 49) with those that were not re-admitted post-viral clearance ( = 173) between February and October 2020. In order to differentiate these two cohorts, we used neural network models for the 'augmented curation' of comorbidities and complications with positive sentiment in the Electronic Hosptial Records physician notes.
In the year preceding COVID-19 onset, anemia ( = 13 [26.5%], p-value: 0.007), cardiac arrhythmias ( = 14 [28.6%], p-value: 0.015), and acute kidney injury ( = 7 [14.3%], p-value: 0.030) were significantly enriched in the physician notes of the .
Overall, this retrospective study highlights specific pre-existing conditions that are associated with higher hospitalization rates in COVID-19 patients despite viral clearance and motivates follow-up prospective research into the associated risk factors.
This work was supported by Nference, inc.
连续的新冠病毒2型(SARS-CoV-2)聚合酶链反应(PCR)检测阴性结果被用于评估新冠肺炎患者的病毒清除情况。然而,有轶事报道称,尽管已确认病毒清除,但仍有新冠肺炎患者因长期并发症而住院,这带来了一个临床难题。
我们对222例住院的新冠肺炎患者进行了回顾性分析,以比较2020年2月至10月期间病毒清除后再次入院的患者(n = 49)和病毒清除后未再次入院的患者(n = 173)。为了区分这两个队列,我们使用神经网络模型对电子病历医生记录中具有积极情绪的合并症和并发症进行“增强整理”。
在新冠肺炎发病前一年,贫血(n = 13 [26.5%],p值:0.007)、心律失常(n = 14 [28.6%],p值:0.015)和急性肾损伤(n = 7 [14.3%],p值:0.030)在……的医生记录中显著富集。
总体而言,这项回顾性研究突出了特定的既往疾病,这些疾病与新冠肺炎患者在病毒清除后较高的住院率相关,并促使对相关风险因素进行后续的前瞻性研究。
这项工作得到了Nference公司的支持。