Correlation between clinical course and radiographic development on CT scan in patients with COVID-19.

Background: To analyze the correlation between clinical course and radiographic development on computed tomography (CT) in patients with confirmed coronavirus disease 2019 (COVID-19) and to provide more evidence for treatment. Methods: This retrospective, observational, cohort study enrolled 49 patients with Reverse transcription-polymerase chain reaction (RT-PCR)-confirmed COVID-19, which included 30 patients admitted to the intensive care unit (ICU) of Wuhan Third Hospital and 19 patients either admitted to or receiving telemedicine consultation from Shanghai General Hospital, Shanghai Xuhui Dahua Hospital, and hospitals in other provinces. CT scans were performed in all enrolled patients and the radiographic features including simple ground-glass opacities (GGOs), GGO with interlobular septal thickening, consolidations with GGO, and consolidations only were monitored by repeating the CT. The progression of these radiographic features was analyzed in combination with their clinical staging and the time interval between onset of symptoms to CT. Results: Based on illness severity, the 49 patients were classified into four stages: mild (n = 6), moderate (n = 12), severe (n = 16), and critically ill (n = 15). The CT findings were classified into three phases: early (n = 5), progression (n = 39), and recovery (n = 5). Among the 49 patients, 9 had bilateral diffuse GGO or diffuse consolidations (white lungs) and were counted as 18 lesions. Three patients had no abnormal findings on initial CT, but their repeat CT showed new lesions. In all, we identified 892 lesions including simple GGO, GGO with interlobular septal thickening, consolidations with GGO, and consolidations only. Conclusions: Most patients had pulmonary lesions on the posterior, inferior, and peripheral lung fields on CT. The development of GGO with interlobular septal thickening, GGO with consolidations, and consolidations only happened mainly between day 8 and 14. The emergence of consolidations may suggest the progression to the severe phase of the illness, whereas simple consolidations or "white lung" may suggest a critically ill phase.

Inhibitory effects of ultralow-dose sodium hypochlorite on Microcystis aeruginosa and Chlorella vulgaris: Differences in sensitivity and physiology

Throughout the COVID-19 pandemic, the application of residual free chlorine has been emphasized as an effective disinfectant;however, the discharged residual chlorine is associated with potential ecological risk at concentrations even below 0.1 mg/L. However, the influence of free chlorine at ultralow-doses (far below 0.01 mg/L) on phytoplankton remains unclear. Due to limitations of detection limit and non-linear dissolution, different dilution rates (1/500, 1/1000, 1/5000, 1/10000, and 1/50000 DR) of a NaClO stock solution (1 mg/L) were adopted to represent ultralow-dose NaClO gradients. Two typical microalgae species, cyanobacterium Microcystis aeruginosa and chlorophyta Chlorella vulgaris, were explored under solo- and co-culture conditions to analyze the inhibitory effects of NaClO on microalgae growth and membrane damage. Additionally, the effects of ultralow-dose NaClO on photosynthesis activity, intracellular reactive oxygen species (ROS) production, and esterase activity were investigated, in order to explore physiological changes and sensitivity. With an initial microalgae cell density of approximately 1 × 106 cell/mL, an inhibitory effect on M. aeruginosa was achieved at a NaClO dosage above 1/10000 DR, which was lower than that of C. vulgaris (above 1/5000 DR). The variation in membrane integrity and photosynthetic activity further demonstrated that the sensitivity of M. aeruginosa to NaClO was higher than that of C. vulgaris, both in solo- and co-culture conditions. Moreover, NaClO is able to interfere with photosynthetic activity, ROS levels, and esterase activity. Photosynthetic activity declined gradually in both microalgae species under sensitive NaClO dosage, but esterase activity increased more rapidly in M. aeruginosa, similar to the behavior of ROS in C. vulgaris. These findings of differing NaClO sensitivity and variations in physiological activity between the two microalgae species contribute to a clearer understanding of the potential ecological risk associated with ultralow-dose chlorine, and provide a basis for practical considerations. Graphical Unlabelled Image

[Thymosin alpha 1 for the adjuvant treatment of coronavirus disease 2019: a retrospective cohort study].

OBJECTIVE: To evaluate the effect of thymosin alpha 1 on the prognosis of patients with coronavirus disease 2019 (COVID-19). METHODS: A retrospective cohort study was performed to collect clinical data of 95 patients treated by Shanghai Aid Medical Team in Wuhan Third Hospital during January 31, 2020 and March 4, 2020, who were confirmed COVID-19. They were divided into two groups according to whether they were treated with thymosin alpha 1 after admission. The 28-day mortality (primary outcome), and 28-ventilator-free-day, lymphocyte count (LYM) level, C-reactive protein (CRP) level (secondary outcomes) were compared between two groups. Survival analysis was performed using the Kaplan-Meier curve. The effect of thymosin alpha 1 on 28-day survival was evaluated with Cox regression model. RESULTS: Among the 95 patients, there were 31 cases in thymosin group and 64 cases in non-thymosin group; 29 patients died 28 days after admission, including 11 cases (35.5%) in thymosin group and 18 cases (28.1%) in non-thymosin group. Kaplan-Meier survival curve showed that thymosin alpha 1 could improve the 28-day survival of patients with COVID-19, but the univariate Cox model analysis showed that the difference was not statistically significant [hazard ratio (HR) = 0.48, 95% confidence interval (95%CI) was 0.20-1.14, P = 0.098]; multivariate Cox model analysis showed that thymosin alpha 1 was the factor to improve the 28-day mortality (HR = 0.15, 95%CI was 0.04-0.55, P = 0.004), old age (HR = 1.10, 95%CI was 1.05-1.15, P < 0.001), accompanied by chronic renal dysfunction (HR = 42.35, 95%CI was 2.77-648.64, P = 0.007), decrease of LYM at admission (HR = 0.15, 95%CI was 0.04-0.60, P = 0.007) and the use of methylprednisolone (HR = 4.59, 95%CI was 1.26-16.67, P = 0.021) were also risk factors for the increase of 28-day mortality. The use of immunoglobulin and antiviral drugs abidol and ganciclovir did not affect the 28-day mortality. After adjustment for age, gender, LYM and other factors, weighted multivariate Cox analysis model showed thymosin alpha 1 could significantly improve the 28-day survival of COVID-19 patients (HR = 0.45, 95%CI was 0.25-0.84, P = 0.012). In terms of secondary outcomes, no statistical difference (all P > 0.05) was found between two groups in days without ventilator at 28 days after admission (days: 17.97±13.56 vs. 20.09±12.67) and the increase of LYM at 7 days after admission [×109/L: -0.07 (-0.23, 0.43) vs. 0.12 (-0.54, 0.41)]. But the decrease of CRP at 7 days after admission in thymosin alpha group was significantly greater than that in non-thymosin group [mg/L: 39.99 (8.44, 82.22) vs. 0.53 (-7.78, 22.93), P < 0.05]. CONCLUSION: Thymosin alpha 1 may improve 28-day mortality and inflammation state in COVID-19 patients.

[Relationship between blood electrolytes and prognosis of patients with severe coronavirus disease 2019].

OBJECTIVE: To analyze the relationship between blood electrolytes and the prognosis of patients with severe coronavirus disease 2019 (COVID-19) and to provide assistance for clinical decision-making. METHODS: The clinical data of patients with severe COVID-19 admitted to intensive care unit (ICU) of the Wuhan Third Hospital by the Shanghai aid-Hubei medical team from January 21 to March 4, 2020 were collected. Excluding ineligible patients, 110 patients were finally enrolled. The patients' gender, age, temperature, heart rate, systolic and diastolic blood pressure, clinical symptoms at admission, time of symptom onset, duration of fever, and relevant indicators at admission to ICU (including blood potassium, chloride, sodium, calcium, phosphorus, and magnesium, etc.) and prognosis were analyzed. The patients were grouped by blood potassium or calcium levels or blood potassium/calcium ratio. The Kaplan-Meier survival curves were used to analyze the survival of patients in each group. The relationship between the potassium/calcium ratio and the prognosis was analyzed using restricted cubic spline plots. The relationship between each index in the different models and the prognosis was analyzed using Cox regression models. RESULTS: Among 110 severe COVID-19 patients, 78 cases survived, and 32 cases died. Compared with the surviving group, patients in the death group had higher blood potassium levels [mmol/L: 4.25 (3.80, 4.65) vs. 3.90 (3.60, 4.20), P < 0.05] and lower blood calcium levels (mmol/L: 2.00±0.14 vs. 2.19±0.18, P < 0.05). The Kaplan-Meier survival curves showed that patients in the potassium > 4.2 mmol/L group had a worse prognosis than the potassium < 3.8 mmol/L group and the potassium 3.8-4.2 mmol/L group (P = 0.011), patients in the calcium > 2.23 mmol/L group had a better prognosis than the calcium < 2.03 mmol/L group and the calcium 2.03-2.23 mmol/L group, and the lower calcium group had a worse prognosis (P = 0.000 15). Cox regression analysis showed that the hazard ratio (HR) of blood potassium and calcium were 2.08 and 0.01, respectively, in model 1 (single blood potassium or calcium) and in model 2 (model 1 plus age and gender), the HR of blood potassium and calcium were 1.98 and 0.01 respectively, which were significantly associated with patient prognosis (all P < 0.05). Patients in the group with the potassium/calcium ratio > 1.9 had higher blood potassium levels and a higher proportion of mechanical ventilation, lower calcium levels and lower proportion of survival, and longer time of ICU admission compared with the groups with the potassium/calcium ratio < 1.7 and 1.7-1.9. The Kaplan-Meier survival curves showed that the survival rate of the potassium/calcium ratio > 1.9 group was the lowest (P < 0.000 1), and there was no statistically significant difference in survival between the potassium/calcium ratio < 1.7 group and the potassium/calcium ratio 1.7-1.9 group. A restricted cubic spline plot corrected for age and gender showed that patients in the potassium/calcium ratio > 1.8 group had HR values > 1. Cox regression analysis corrected for other indicators showed that the potassium/calcium ratio was still associated with patient prognosis (HR = 4.85, P = 0.033). CONCLUSION: Blood potassium, calcium, and the potassium/calcium ratio at ICU admission are related to the prognosis of patients with severe COVID-19, and the potassium/calcium ratio is an independent risk factor for the death of patients. The higher the potassium/calcium ratio, the worse the prognosis of patients.

Validated tool for early prediction of intensive care unit admission in COVID-19 patients.

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) pandemic is a global threat caused by the severe acute respiratory syndrome coronavirus-2. AIM: To develop and validate a risk stratification tool for the early prediction of intensive care unit (ICU) admission among COVID-19 patients at hospital admission. METHODS: The training cohort included COVID-19 patients admitted to the Wuhan Third Hospital. We selected 13 of 65 baseline laboratory results to assess ICU admission risk, which were used to develop a risk prediction model with the random forest (RF) algorithm. A nomogram for the logistic regression model was built based on six selected variables. The predicted models were carefully calibrated, and the predictive performance was evaluated and compared with two previously published models. RESULTS: There were 681 and 296 patients in the training and validation cohorts, respectively. The patients in the training cohort were older than those in the validation cohort (median age: 63.0 vs 49.0 years, P < 0.001), and the percentages of male gender were similar (49.6% vs 49.3%, P = 0.958). The top predictors selected in the RF model were neutrophil-to-lymphocyte ratio, age, lactate dehydrogenase, C-reactive protein, creatinine, D-dimer, albumin, procalcitonin, glucose, platelet, total bilirubin, lactate and creatine kinase. The accuracy, sensitivity and specificity for the RF model were 91%, 88% and 93%, respectively, higher than those for the logistic regression model. The area under the receiver operating characteristic curve of our model was much better than those of two other published methods (0.90 vs 0.82 and 0.75). Model A underestimated risk of ICU admission in patients with a predicted risk less than 30%, whereas the RF risk score demonstrated excellent ability to categorize patients into different risk strata. Our predictive model provided a larger standardized net benefit across the major high-risk range compared with model A. CONCLUSION: Our model can identify ICU admission risk in COVID-19 patients at admission, who can then receive prompt care, thus improving medical resource allocation.

Clinical characteristics and outcomes of critically ill patients with acute COVID-19 with Epstein-Barr virus reactivation.

BACKGROUND: Our goal is to further elucidate the clinical condition and prognosis of patients with severe acute COVID-19 with EBV reactivation. METHOD: This is a retrospective single-center study of COVID-19 patients admitted to the intensive care unit of Wuhan No. 3 Hospital (January 31 to March 27, 2020). According to whether Epstein-Barr virus reactivation was detected, the patients were divided into an EBV group and a Non-EBV group. Baseline data were collected including epidemiological, larithmics, clinical and imaging characteristics, and laboratory examination data. RESULTS: Of the 128 patients with COVID-19, 17 (13.3%) were infected with Epstein-Barr virus reactivation. In the symptoms,the rate of tachypnoea in the EBV group was apparently higher than that in the Non-EBV group. In lab tests, the lymphocyte and albumin of EBV group decreased more significantly than Non-EBV group, and the D-dimer and serum calcium of EBV group was higher than Non-EBV group. Regarding the infection index, CRP of EBV group was apparently above the Non-EBV group, and no significant difference was found in procalcitonin of the two groups. The incidence of respiratory failure, ARDS, and hypoproteinaemia of EBV group had more incidence than Non-EBV group. The 28-day and 14-day mortality rates of EBV group was significantly higher than that of Non-EBV group. CONCLUSIONS: In the COVID-19 patients, patients with EBV reactivation had higher 28-day and 14-day mortality rates and received more immuno-supportive treatment than patients of Non-EBV group.