Selected article for: "bacterial infection and crp bacterial infection"

Author: Zhao, Yu; Wang, Fuxiang; Dong, Gaolei; Sheng, Qi; Feng, Shiyan
Title: A disease progression prediction model and nervous system symptoms in coronavirus disease 2019 patients.
  • Cord-id: i6rjdrjo
  • Document date: 2020_1_1
  • ID: i6rjdrjo
    Snippet: This study aimed to investigate factors affecting coronavirus disease 2019 (COVID-19) progression, also to explore the clinical features and prognosis of nervous system symptom (NSS) involved COVID-19 patients. 417 COVID-19 patients were analyzed in this retrospective study, and they were clinically classified as severe patients and non-severe patients. According to NSS involved status, COVID-19 patients were further divided into NSS patients and non-NSS patients. Elderly cases, males, common co
    Document: This study aimed to investigate factors affecting coronavirus disease 2019 (COVID-19) progression, also to explore the clinical features and prognosis of nervous system symptom (NSS) involved COVID-19 patients. 417 COVID-19 patients were analyzed in this retrospective study, and they were clinically classified as severe patients and non-severe patients. According to NSS involved status, COVID-19 patients were further divided into NSS patients and non-NSS patients. Elderly cases, males, common comorbidities, NSS, respiratory/cardiovascular/gastrointestinal symptoms, bilateral lesion, multifocal lesion, bacterial infection, bacterial&fungal infection were more common in severe patients compared to non-severe patients. Meanwhile, severe COVID-19 patients showed increased baseline APTT, TT, D-dimer, CRP, ESR, CK-MB, creatine kinase, AST, ALT, creatinine, but decreased baseline platelet level, lymphocyte, albumin, GFR compared to non-severe patients. Notably, the continuous differences of lymphocyte, D-dimer, CRP, AST, ALT, albumin, GFR between severe patients and non-severe patients during treatment were observed. Age, NSS, bacterial & fungal infection, CRP and creatinine were further identified as independent risk factors for severe COVID-19, which could predict severe COVID-19 with area under curve of 0.861. Furthermore, severe patients presented with worse prognosis. Regrading NSS patients, they were related to older age, surgery history, diabetes comorbidities, respiratory/cardiovascular/gastrointestinal symptoms, bilateral lesion, multifocal lesion, bacterial infection, bacterial&fungal infection and more dysregulated laboratory indexes compared to non-NSS patients. Besides, NSS patients were correlated with poor prognosis to some extent. More intensive attention should be paid to COVID-19 patients with severe-disease risk factors and those with NSS involvement, in case of rapid deterioration.

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