Risk factors for prolonged virus shedding of respiratory tract and fecal in adults with severe acute respiratory syndrome coronavirus-2 infection.

BACKGROUND: The dynamic alteration and comparative study of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA shedding pattern during treatment are limited. This study explores the potential risk factors influencing prolonged viral shedding in COVID-19. METHODS: A total of 126 COVID-19 patients were enrolled in this retrospective longitudinal study. A multivariate logistic regression analysis was carried out to estimate the potential risk factors. RESULTS: 38.1% (48/126) cases presented prolonged respiratory tract viral shedding, and 30 (23.8%) cases presented prolonged rectal swab viral shedding. Obesity (OR, 3.31; 95% CI, 1.08-10.09), positive rectal swab (OR, 3.43; 95% CI, 1.53-7.7), treatment by lopinavir/ritonavir with chloroquine phosphate (OR, 2.5; 95% CI, 1.04-6.03), the interval from onset to antiviral treatment more than 7 days (OR, 2.26; 95% CI, 1.04-4.93), lower CD4+ T cell (OR, 0.92; 95% CI, 0.86-0.99) and higher NK cells (OR, 1.11; 95% CI, 1.02-1.20) were significantly associated with prolonged respiratory tract viral shedding. CD3-CD56+ NK cells (OR, 0.87; 95% CI, 0.76-0.99) were related with prolonged fecal shedding. CONCLUSIONS: Obesity, delayed antiviral treatment, and positive SARS-CoV-2 for stool were independent risk factors for prolonged SARS-CoV-2 RNA shedding of the respiratory tract. A combination of LPV/r and abidol as the initial antiviral regimen was effective in shortening the duration of viral shedding compared with LPV/r combined with chloroquine phosphate. CD4+ T cell and NK cells were significantly associated with prolonged viral shedding, and further studies are to be warranted to determine the mechanism of immunomodulatory response in virus clearance.

Low serum level of apolipoprotein A1 may predict the severity of COVID-19: A retrospective study.

BACKGROUND: Dyslipidemia has been observed in patients with coronavirus disease 2019 (COVID-19). This study aimed to investigate blood lipid profiles in patients with COVID-19 and to explore their predictive values for COVID-19 severity. METHODS: A total of 142 consecutive patients with COVID-19 were included in this single-center retrospective study. Blood lipid profile characteristics were investigated in patients with COVID-19 in comparison with 77 age- and gender-matched healthy subjects, their predictive values for COVID-19 severity were analyzed by using multivariable logistic regression analysis, and their prediction efficiencies were evaluated by using receiver operator characteristic (ROC) curves. RESULTS: There were 125 and 17 cases in the non-severe and severe groups, respectively. Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and apolipoprotein A1 (ApoA1) gradually decreased across the groups in the following order: healthy controls, non-severe group, and severe group. ApoA1 was identified as an independent risk factor for COVID-19 severity (adjusted odds ratio [OR]: 0.865, 95% confidence interval [CI]: 0.800-0.935, p < 0.001), along with interleukin-6 (IL-6) (adjusted OR: 1.097, 95% CI: 1.034-1.165, p = 0.002). ApoA1 exhibited the highest area under the ROC curve (AUC) among all single markers (AUC: 0.896, 95% CI: 0.834-0.941); moreover, the risk model established using ApoA1 and IL-6 enhanced prediction efficiency (AUC: 0.977, 95% CI: 0.932-0.995). CONCLUSION: Blood lipid profiles in patients with COVID-19 are quite abnormal compared with those in healthy subjects, especially in severe cases. Serum ApoA1 may represent a good indicator for predicting the severity of COVID-19.

The potential role of serum angiotensin-converting enzyme in coronavirus disease 2019.

BACKGROUND: To explore the clinical significance of serum angiotensin-converting enzyme (ACE) activity in coronavirus disease 2019 (COVID-19). METHODS: In this retrospective study, a total of 136 consecutive patients with confirmed COVID-19 were recruited. Demographic and clinical data were recorded. The serum ACE activity was measured at baseline and during the recovery phase, and its relationship with clinical condition was analyzed. RESULTS: Of the 136 patients with confirmed COVID-19, the 16 severe patients were older and had a higher body mass index (BMI) and proportion of hypertension than the 120 nonsevere patients. In comparison to those of normal controls, the baseline serum ACE activities of subjects in the severe group and nonsevere group were decreased, with the lowest level in the severe group. However, the serum ACE activity increased in the recovery phase, and there were no significant differences among the severe group, nonsevere group and normal control group. CONCLUSION: Serum ACE activity could be used as a marker to reflect the clinical condition of COVID-19 since low activity was associated with the severity of COVID-19 at baseline, and the activity increased with the remission of the disease.

Absent immune response to SARS-CoV-2 in a 3-month recurrence of coronavirus disease 2019 (COVID-19) case.

BACKGROUND: The viral persistence in patients with Coronavirus Disease 2019 (COVID-19) remains to be investigated. METHODS: We investigated the viral loads, therapies, clinical features, and immune responses in a 70-year patient tested positive for SARS-CoV-2 for 3 months. FINDINGS: The patient exhibited the highest prevalence of abnormal indices of clinical features and immune responses at the first admission, including fever (38.3 â„ƒ), decreased lymphocytes (0.83 × 109/L) and serum potassium (3.1 mmol/L), as well as elevated serum creatinine (115 µmol/L), urea (8.6 mmol/L), and C-reactive protein (80 mg/L). By contrast, at the second and the third admission, these indices were all normal. Through three admissions, IL-2 increased from 0.14 pg/mL, 0.69 pg/mL, to 0.91 pg/mL, while IL-6 decreased from 11.78 pg/mL, 1.52 pg/mL, to 0.69 pg/mL, so did IL-10 from 5.13 pg/mL, 1.85 pg/mL, to 1.75 pg/mL. The steady declining trend was also found in TNF-α (1.49, 1.15, and 0.85 pg/mL) and IFN-γ (0.64, 0.42, and 0.27 pg/mL). The threshold cycle values of RT-PCR were 26.1, 30.5, and 23.5 for ORFlab gene, and 26.2, 30.6, and 22.7 for N gene, showing the patient had higher viral loads at the first and the third admission than during the middle term of the disease. The patient also showed substantially improved acute exudative lesions on the chest CT scanning images. CONCLUSIONS: The patient displayed declining immune responses in spite of the viral shedding for 3 months. We inferred the declining immune responses might result from the segregation of the virus from the immune system.

Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019.

OBJECTIVE: To explore the clinical value of immune-inflammatory markers to assess the severity of coronavirus disease 2019 (COVID-19). METHODS: 127 consecutive hospitalized patients with confirmed COVID-19 were enrolled in this study, and classified into non-severe and severe groups. Demographics, symptoms, underlying diseases and laboratory data were collected and assessed for predictive value. RESULTS: Of 127 COVID-19 patients, 16 cases (12.60%) were classified into the severe group. High level of interleukin-6 (IL-6), C-reaction protein (CRP) and hypertension were independent risk factors for the severity of COVID-19. The risk model based on IL-6, CRP and hypertension had the highest area under the receiver operator characteristic curve (AUROC). Additionally, the baseline IL-6 was positively correlated with other immune-inflammatory parameters and the dynamic change of IL-6 in the severe cases were parallel to the amelioration of the disease. CONCLUSION: Our study showed that high level of IL-6, CRP and hypertension were independent risk factors for assessing the severity of COVID-19. The risk model established upon IL-6, CRP and hypertension had the highest predictability in this study. Besides, IL-6 played a pivotal role in the severity of COVID-19 and had a potential value for monitoring the process of severe cases.