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1.
Artif Organs ; 45(7): 762-769, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-978684

ABSTRACT

Our aim was to investigate the effect of artificial liver blood purification treatment on the survival of severe/critical patients with coronavirus disease 2019 (COVID-19). A total of 101 severe and critical patients with coronavirus SARS-CoV-2 infection were enrolled in this open, case-control, multicenter, prospective study. According to the patients' and their families' willingness, they were divided into two groups. One was named the treatment group, in which the patients received artificial liver therapy plus comprehensive treatment (n = 50), while the other was named the control group, in which the patients received only comprehensive treatment (n = 51). Clinical data and laboratory examinations, as well as the 28-day mortality rate, were collected and analyzed. Baseline data comparisons on average age, sex, pre-treatment morbidity, initial symptoms, vital signs, pneumonia severity index score, blood routine examination and biochemistry indices etc. showed no difference between the two groups. Cytokine storm was detected, with a significant increase of serum interleukin-6 (IL-6) level. The serum IL-6 level decreased from 119.94 to 20.49 pg/mL in the treatment group and increased from 40.42 to 50.81 pg/mL in the control group (P < .05), indicating that artificial liver therapy significantly decreased serum IL-6. The median duration of viral nucleic acid persistence was 19 days in the treatment group (ranging from 6 to 67 days) and 17 days in the control group (ranging from 3 to 68 days), no significant difference was observed (P = .36). As of 28-day follow-up,17 patients in the treatment group experienced a median weaning time of 24 days, while 11 patients in the control group experienced a median weaning time of 35 days, with no significant difference between the two groups (P = .33). The 28-day mortality rates were 16% (8/50) in the treatment group and 50.98% (26/51) in the control group, with a significant difference (z = 3.70, P < .001). Cytokine storm is a key factor in the intensification of COVID-19 pneumonia. The artificial liver therapy blocks the cytokine storm by clearing inflammatory mediators, thus preventing severe cases from progressing to critically ill stages and markedly reducing short-term mortality.


Subject(s)
COVID-19/therapy , Cytokine Release Syndrome/prevention & control , Liver, Artificial , Plasma Exchange/instrumentation , Aged , Biomarkers/blood , COVID-19/blood , COVID-19/mortality , COVID-19/virology , Case-Control Studies , Cytokine Release Syndrome/blood , Cytokine Release Syndrome/mortality , Cytokine Release Syndrome/virology , Cytokines/blood , Female , Hospital Mortality , Host-Pathogen Interactions , Humans , Male , Middle Aged , Plasma Exchange/adverse effects , Plasma Exchange/mortality , Prospective Studies , SARS-CoV-2/pathogenicity , Severity of Illness Index , Time Factors , Treatment Outcome , Viral Load
2.
BMC Res Notes ; 13(1): 506, 2020 Nov 04.
Article in English | MEDLINE | ID: covidwho-927042

ABSTRACT

OBJECTIVES: A pneumonia associated with 2019 novel coronavirus (2019-nCoV, subsequently named SARS-CoV2) emerged worldwide since December, 2019. We aimed to describe the epidemiological characteristics of 2019 coronavirus disease (COVID-19) in Shaanxi province of China. RESULTS: 1. Among the 245 patients, 132 (53.9%) were males and 113 (46.1%) were females. The average age was 46.15 ± 16.43 years, ranging from 3 to 89 years. 2. For the clinical type, 1.63% (4/245) patients were mild type, 84.90% (208/245) were moderate type, 7.76% (19/245) were severe type, 5.31% (13/245) were critical type and only 0.41% (1/245) was asymptomatic. 3. Of the 245 patients, 116 (47.35%) were input case, 114 (46.53%) were non-input case, and 15 (6.12%) were unknown exposure. 4. 48.57% (119/245) cases were family cluster, involving 42 families. The most common pattern of COVID-19 family cluster was between husband and wife or between parents and children.


Subject(s)
Coronavirus Infections/prevention & control , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Quarantine , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19 , Child , Child, Preschool , China/epidemiology , Cluster Analysis , Coronavirus Infections/epidemiology , Female , Humans , Male , Middle Aged , Pneumonia, Viral/epidemiology , Retrospective Studies , Sex Factors , Young Adult
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