[Analysis of traditional Chinese medicine syndromes in patients with coronavirus disease 2019 in plateau areas].

OBJECTIVE: To analyze the distribution characteristics of traditional Chinese medicine (TCM) syndromes in patients with coronavirus disease 2019 (COVID-19) in plateau areas, and to provide theoretical basis for further clinical treatment of patients with COVID-19. METHODS: From August 9 to August 24, 2022, patients with COVID-19 admitted to the Third People's Hospital of Tibet Autonomous Region (designated hospital for COVID-19) were included, and their baseline characteristics (age, gender, source), clinical classification and distribution of TCM syndrome types were collected and analyzed. Data analysis was performed using SPSS 26.0 statistical software. RESULTS: A total of 161 COVID-19 patients were enrolled with ethnic distribution: 124 (77.02%) Tibetans, 35 (21.74%) Han, and 2 (1.24%) Hui, 68 males and 93 females. The male-to-female ratio was 0.73:1. Aged 1 to 94 years, the average age was (39.06±23.64) years old, of which 4 patients were under 1 year old (excluded because the information was missing). A total of 157 patients were enrolled, and 124 patients (78.9%) were under 60 years old, including 120 cases of common type, 4 cases of severe type, 0 cases of critical type, 7 cases over 80 years old, 1 case over 90 years old, and 32 cases under 18 years old. The clinical manifestations of the patient are mainly cough, expectoration, fever, aversion to cold, dry throat, headache, fatigue, running nose, dry mouth, bitter mouth, etc. Most of the tongue is pale, red, and white greasy moss or thin white coating. In TCM, the most common syndrome was cold-dampness blocking lung syndrome (99 cases, 63.06%), followed by cold-dampness stagnant lung syndrome (22 cases, 14.01%), damp-heat accumulating lung syndrome (22 cases, 14.01%), and humidity stagnant lung syndrome (11 cases, 7.01%). Syndromes of epidemic (2 cases, 1.27%), epidemic toxins blocking the lung pattern (1 cases, 0.64%), toxins with dryness intense heat in both qi and ying phases pattern (0 cases) accounted for less than 2%, and the distribution of various syndrome types in COVID-19 patients was uneven (χ 2 = 0.48, P < 0.05). CONCLUSIONS: The most common TCM syndromes of COVID-19 patients in Lhasa are cold-dampness blocking lung syndrome, followed by cold-dampness stagnant lung syndrome, damp-heat accumulating lung syndrome, and humidity stagnant lung syndrome.

Serum surfactant protein D in COVID-19 is elevated and correlated with disease severity.

BACKGROUND: The serum surfactant protein D (SP-D) level is suggested to be a useful biomarker for acute lung injuries and acute respiratory distress syndrome. Whether the serum SP-D level could identify the severity of coronavirus disease 2019 (COVID-19) in the early stage has not been elucidated. METHODS: We performed an observational study on 39 laboratory-confirmed COVID-19 patients from The Fourth People's Hospital of Yiyang, Hunan, China. Receiver operating characteristic (ROC) curve analysis, correlation analysis, and multivariate logistic regression model analysis were performed. RESULTS: In the acute phase, the serum levels of SP-D were elevated significantly in severe COVID-19 patients than in mild cases (mean value ± standard deviation (SD), 449.7 ± 125.8 vs 245.9 ± 90.0 ng/mL, P<0.001), while the serum levels of SP-D in the recovery period were decreased dramatically than that in the acute phase (mean value ± SD, 129.5 ± 51.7 vs 292.9 ± 130.7 ng/ml, P<0.001), and so were for the stratified patients. The chest CT imaging scores were considerably higher in the severe group compared with those in the mild group (median value, 10.0 vs 9.0, P = 0.011), while markedly lower in the recovery period than those in the acute phase (median value, 2.0 vs 9.0, P<0.001), and so were for the stratified patients. ROC curve analysis revealed that areas under the curve of lymphocyte counts (LYM), C-reaction protein (CRP), erythrocyte sedimentation rate (ESR), interleukin-6 (IL-6), and SP-D for severe COVID-19 were 0.719, 0.833, 0.817, 0.837, and 0.922, respectively. Correlation analysis showed that the SP-D levels were negatively correlated with LYM (r = - 0.320, P = 0.047), while positively correlated with CRP (r = 0.658, P<0.001), IL-6 (r = 0.471, P = 0.002), the duration of nucleic acid of throat swab turning negative (r = 0.668, P<0.001), chest CT imaging score on admission (r = 0.695, P<0.001) and length of stay (r = 0.420, P = 0.008). Multivariate logistic regression model analysis showed that age (P = 0.041, OR = 1.093) and SP-D (P = 0.008, OR = 1.018) were risk factors for severe COVID-19. CONCLUSIONS: Elevated serum SP-D level was a potential biomarker for the severity of COVID-19; this may be useful in identifying patients whose condition worsens at an early stage.

Elevated Serum Pentraxin-3 Levels is Positively Correlated to Disease Severity and Coagulopathy in COVID-19 Patients.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is highly contagious and deadly and is associated with coagulopathy. Pentraxin-3(PTX3) participates in innate resistance to infections and plays a role in thrombogenesis. PURPOSE: The present study aimed to investigate the role of PTX3 in coagulopathy in patients with COVID-19. METHODS: A retrospective study, including thirty-nine COVID-19 patients, enrolled in Hunan, China, were performed. The patients were classified into the D-dimer_L (D-dimer <1mg/L) and D-dimer_H (D-dimer≥1mg/L) groups basing on the plasma D-dimer levels on admission. Serum PTX3 levels were detected by enzyme-linked immunosorbent assays and compared between those two groups, then receiver operating characteristic (ROC) curve analysis, correlation analysis, and linear regression models were performed to analyze the association between PTX3 and D-dimer. RESULTS: Our results showed that serum PTX3 levels (median values, 10.21 vs. 3.36, P<0.001), computerized chest tomography (C.T.) scores (median values, 10.0 vs. 9.0, P<0.05), and length of stay (LOS) (mean values, 16.0 vs. 10.7, P=0.001) in the D-dimer_H group were significantly higher than that in D-dimer_L group. ROC curve analysis revealed that the AUC of white blood corpuscle counts, C-reaction protein, erythrocyte sedimentation rate, and PTX3 for COVID-19 were 0.685, 0.863, 0.846, and 0.985, respectively. Correlation analysis showed that there was a positive relationship between PTX3 and D-dimer (r=0.721, P<0.001), chest CT imaging score (r=0.418, P=0.008), and LOS (r=0.486, P=0.002). Multiple linear regression analysis showed that the coefficient of determination was 0.657 (P < 0.001). CONCLUSION: Serum level of PTX3 was positively correlated with disease severity and coagulopathy. Detection of serum PTX3 level could help identify severer patients on admission and may be a potential therapeutic target for coagulopathy in patients with COVID-19.