The efficacy of traditional Chinese medicine in the treatment of the COVID-19 pandemic in Henan Province: a retrospective study.

BACKGROUND: Since 2020, novel coronavirus disease (COVID-19) has posed serious threats to health systems and led to tremendous economic decline worldwide. Traditional Chinese medicine (TCM) is considered a promising treatment strategy for COVID-19 in China and is increasingly recognized as a key participant in the battle against COVID-19. Clinicians also need accurate evidence regarding the effectiveness of TCM treatments for COVID-19. METHODS: We retrospectively analyzed patients diagnosed with COVID-19 by collected from the electronic medical records of the hospitals in Henan Province from January 19, 2020, to March 2, 2020. Demographic characteristics, clinical data, frequency analysis of Chinese patent medicines (CPMs), Chinese medicine injections (CMIs), evaluation of baseline symptom scores, nucleic acid negative conversion, length of hospitalization, and mortality rates were studied. RESULTS: Between 15 January 2020 and 2 March 2020, 131 hospitals with 1245 patients were included. Survey response Chinese herbal decoction, CPMs, and CMIs combined with conventional Western medicine (CWM) used for the treatment of COVID-19. The top 8 CPMs were Lianhua Qingwen capsules, Shuanghuanglian oral liquid, Pudilan Xiaoyan oral liquid, Banlangen granules, Lanqin oral liquid, compound licorice tablets, Bailing capsules, montmorillonite powder. The most frequently used CMIs were Xuebijing, Tanreqing, Reduning, Xiyanping and Yanhuning. TCM combined with CWM improved the patients' symptom scores for fever, cough, chest tightness, shortness of breath, and fatigue. Nucleic acid negative conversion occurred at11.55 ± 5.91 d and the average length of hospitalization was 14.92 ± 6.15 d. The mortality rate was approximately 1.76%, which is a reduction in patient mortality. CONCLUSIONS: TCM combined with CWM improved clinical symptoms and reduced hospitalization and mortality rates.

[Correlation between symptoms and their contribution to syndrome based on association rule combined with Bayesian network: syndrome of lung damp-heat accumulation in coronavirus disease 2019].

OBJECTIVE: To explore the correlation between symptoms and their contribution to syndrome based on syndrome of lung damp-heat accumulation in coronavirus disease 2019 (COVID-19), thus to provide methodological basis for the syndrome diagnosis. METHODS: Based on 654 clinical investigation questionnaires data of COVID-19 patients, a model based on syndrome of lung damp-heat accumulation was set. Using SPSS Modeler 14.1 software, association rules and Bayesian network were applied to explore the correlation between symptoms and their contribution to syndrome. RESULTS: There were 121 questionnaires referring to syndrome of lung damp-heat accumulation in total 654 questionnaires. The symptoms with frequency > 40% were fever (53.72%), cough (47.93%), red tongue (45.45%), rapid pulse (43.80%), greasy fur (42.15%), yellow tongue (41.32%), fatigue (40.50%) and anorexia (40.50%). Association rule analysis showed that the symptom groups with strong binomial correlation included fever, thirst, chest tightness, shortness of breath, cough, yellow phlegm, etc. The symptom groups with strong trinomial correlation included cough, yellow phlegm, phlegm sticky, anorexia, vomiting, heavy head and body, fever, thirst, fatigue, etc. Based on SPSS Modeler 14.1 software, with syndrome of lung damp-heat accumulation (yes = 1, no = 0) as target variable, and the selected symptoms with frequency > 15.0% as input variables, the Bayesian network model was established to obtain the probability distribution table of symptoms (groups), in which there was only one parent node (the upper node of each input variable) of fever, and the conditional probability was 0.54. The parent node of cough had yellow phlegm and syndrome of lung damp-heat accumulation, indicating that there was a direct causal relationship between cough and yellow phlegm in syndrome of lung damp-heat accumulation, and the conditional probability of cough was 0.99 under the condition of yellow phlegm. The common symptom groups and their contribution to syndrome were as follows: fever and thirsty (0.47), cough and yellow phlegm (0.49), chest tightness and polypnea (0.46), anorexia and heavy cumbersome head and body (0.61), yellow greasy fur and slippery rapid pulse (0.95). CONCLUSIONS: It is feasible and objective to analyze the correlation between symptoms and their contribution to syndromes by association rules combined with Bayesian network. It could provide methodological basis for the syndrome diagnosis.

Clinical characteristics of a group of deaths with COVID-19 pneumonia in Wuhan, China: a retrospective case series.

BACKGROUND: With the widespread outbreak of novel coronavirus diseases 2019(COVID-19), more and more death cases were reported, however, limited data are available for the patients who died. We aimed to explore the clinical characteristics of deaths with COVID-19 pneumonia. METHODS: We abstracted and analyzed epidemiological, demographic, clinical, and laboratory data from 83 death cases with COVID-19 pneumonia in East Hospital of Wuhan University Renmin Hospital, between January 26, 2020, and February 28, 2020. RESULTS: Of the 83 deaths, none was the medical staff. The mean age was 71.8 years (SD 13.2; range, 34-97 years) and 53(63.9%) were male. The median from onset to admission was 10 days (IQR 7-14: range, 2-43 days), to death was 17 days (IQR 14-21: range, 6-54 days). Most deaths (66[80%]) had underlying comorbid diseases, the most of which was hypertension [47(57%)]. The main initial symptoms of these 83 deaths were shortness of breath(98.8%), fever(94%), and myalgia or fatigue(90.4%). Laboratory analyses showed the lymphocytopenia in 69(83%) deaths, hypoalbuminemia in 77(93%) deaths, the elevation of lactate dehydrogenase in 79(95%) deaths, procalcitonin in 69(83%) deaths and C-reactive protein in 79(95%) deaths. All 83 patients received antiviral treatment, 81(97.6%) deaths received antibiotic therapy, 54(65.1%) deaths received glucocorticoid therapy, and 20(24.1%) patients received invasive mechanical ventilation. CONCLUSION: Most of the deaths with COVID-19 pneumonia were elderly patients with underlying comorbid diseases, especially those over 70 years of age. The time of death after the onset of the disease was mostly 15-21 days. More care should be given to the elderly in further prevention and control strategies of COVID-19.

[A single arm clinical study of 86 patients with common type of coronavirus disease 2019 treated by integrated traditional Chinese and Western medicine: multicenter case observation from 7 designated hospitals in Henan Province].

OBJECTIVE: To evaluate the clinical effect of integrated traditional Chinese and Western medicine on common type of coronavirus disease 2019 (COVID-19) in Henan Province. METHODS: A prospective single arm clinical study was performed. Patients with common type of COVID-19 admitted to seven designated hospitals for COVID-19 in Henan Province from January 25th to February 26th, 2020 were enrolled, and treated with integrated traditional Chinese and Western medicine. The negative transformation of 2019 novel coronavirus (2019-nCoV) nucleic acid, disease outcome, hospital stay, clinical symptoms and signs scores, and chest imaging performance were observed. RESULTS: Totally 86 cases were included in the analysis, including 48 males (55.8%), aged 43.5 (35.0, 53.3) years old, 24 patients (27.9%) with previous medical history. Fifty-eight patients were primarily diagnosed COVID-19 and 28 patients were transferred. The 2019-nCoV nucleic acid of 86 cases (100%) turned negative, and the median time of turning negative was 10 (7, 14) days. Eighty-six cases (100%) were discharged from hospital, and none turned into the severe type; the average length of hospital stay was (13.8±5.6) days. The scores of fever, cough, chest tightness, shortness of breath, and fatigue decreased with the treatment time, and the scores of 7 days and 14 days after treatment were significantly lower than those before treatment [fever (points): 0 (0, 0), 0 (0, 0) vs. 1 (0, 1); cough (points): 1 (0, 1), 0 (0, 1) vs. 1 (0, 2); chest tightness (points): 0 (0, 0), 0 (0, 0) vs. 0 (0, 1); shortness of breath (points): 0 (0, 0), 0 (0, 0) vs. 0 (0, 1); fatigue (points): 0 (0, 1), 0 (0, 1) vs. 1 (0, 1); all P < 0.05]. The improvement rate of X ray and CT image was 42.9% (12/28) and 81.0% (64/79), respectively. CONCLUSIONS: The treatment with integrated traditional Chinese and Western medicine has good curative effect on common type of COVID-19 in 7 designated hospitals of Henan Province. It can improve the clinical symptoms, promote the absorption of pulmonary inflammation, and to some extent control the progress of disease and shorten the time of turning negative of virus nucleic acid and hospital stay.

[Meta-analysis of single-group rate of the distribution of traditional Chinese medicine syndromes in 2 139 patients with coronavirus disease 2019].

OBJECTIVE: To systematically evaluate the incidence of coronavirus disease 2019 (COVID-19) syndrome in traditional Chinese medicine (TCM), and to provide a basis for the standard of COVID-19 syndrome differentiation. METHODS: CNKI, China Medical Journal Network, PubMed and Embase databases were searched by computer, and TCM syndrome data of COVID-19 cross-sectional surveys and case series were collected from the establishment of the database to March 31st in 2020. Two researchers independently screened the literature, extracted relevant data such as TCM syndromes, and evaluated the quality of the literature according to the quality assessment tool recommended by the JBI Evidence-Based Health Care Center. Stata 14.0 software was used to perform a single-group Meta-analysis of TCM syndromes. RESULTS: Thirteen cross-sectional studies and 5 case series studies were included, with a total of 2 139 patients. The analysis of the cross-sectional studies showed that the risk bias was higher in the identification, control and accuracy of the confounding factors, and the description of the reliability and validity of the outcome indicators was unclear. The analysis of the case series studies showed that the overall risk bias was small, but there was a lack of a comprehensive description of the assessment when selecting patients. A total of 33 TCM syndromes of COVID-19 were sorted out by combining the TCM syndromes with the same disease position and pathogenic syndrome in the included 18 literatures, and there were 10 types of TCM syndromes of which the number of occurrences was ≥ 50, the incidence rate was ≥ 10%, and had statistical significance [indicated that 95% confidence interval (95%CI) didn't cross the meaningless line 0], including cold dampness syndrome (469 cases, incidence rate was 28.2%, 95%CI was 5.9%-50.6%), damp heat syndrome (247 cases, incidence rate was 32.1%, 95%CI was 10.7%-53.6%), epidemic closed lung syndrome (228 cases, incidence rate was 28.9%, 95%CI was 12.5%-45.2%), pulmonary and spleen Qi deficiency syndrome (202 cases, incidence rate was 22.1%, 95%CI was 9.5%-34.7%), dampness stagnation lung syndrome (180 cases, incidence rate was 41.2%, 95%CI was 18.4%-64.1%), dampness obstructing lung and spleen syndrome (81 cases, incidence rate was 56.3%, 95%CI was 48.1%-64.4%), evil heat syndrome lung syndrome (76 cases, incidence rate was 31.1%, 95%CI was 25.3%-36.9%), dampness-blocking lung and stomach syndrome (70 cases, incidence rate was 13.4%, 95%CI was 10.4%-16.3%), heat poisoning lung closure syndrome (55 cases, incidence rate was 16.9%, 95%CI was 8.3%-25.5%), and Qi-Yin deficiency syndrome (53 cases, incidence rate was 13.7%, 95%CI was 2.7%-24.8%). Subgroup analysis showed that there were 6 types of TCM syndromes that met the above conditions in cross-sectional studies, namely cold and damp lung syndrome (200 cases, incidence rate was 20.9%, 95%CI was 12.6%-29.2%), damp heat syndrome (221 cases, incidence rate was 41.8%, 95%CI was 9.4%-74.2%), dampness-disease lung syndrome (120 cases, incidence rate was 41.4%, 95%CI was 8.6%-74.3%), lung and spleen Qi deficiency syndrome (115 cases, incidence rate was 19.2%, 95%CI was 6.8%-31.7%), heat-fever lung syndrome (76 cases, incidence rate was 31.1%, 95%CI was 25.3%-36.9%) and Qi-Yin deficiency syndrome (53 cases, incidence rate was 13.7%, 95%CI was 2.7%-24.8%). There were 3 kinds of TCM syndromes in case series studies, which were virus closed lung syndrome (133 cases, incidence rate was 44.0%, 95%CI was 24.5%-63.4%), lung and spleen Qi deficiency syndrome (87 cases, incidence rate was 38.7%, 95%CI was 32.3%-45.0%), and dampness and depression lung syndrome (60 cases, incidence rate was 40.6%, 95%CI was 29.3%-52.0%). CONCLUSIONS: The TCM syndromes of COVID-19 syndrome were widely distributed and complex. The main TCM syndromes were cold dampness syndrome, damp heat syndrome, epidemic closed lung syndrome, pulmonary and spleen Qi deficiency syndrome, dampness stagnation lung syndrome, dampness obstructing lung and spleen syndrome, evil heat syndrome lung syndrome, dampness-blocking lung and stomach syndrome, heat poisoning lung closure syndrome, Qi-Yin deficiency syndrome, which can provide reference for the standard of TCM syndrome differentiation of COVID-19.

[Study on traditional Chinese medicine common syndrome characteristic of coronavirus disease 2019 based on latent structure combined with system clustering analysis].

OBJECTIVE: To investigate traditional Chinese medicine (TCM) common syndrome characteristic of coronavirus disease 2019 (COVID-19), thus providing evidence for clinical differentiation. METHODS: The COVID-19 TCM treatment plan and syndrome related literature published before February 24, 2020 was searched and a database was established. TCM common syndrome characteristics of COVID-19 were analyzed by the method of latent structure and system clustering combined with frequency and constituent ratio, which were conducted by Lantern 5.0 and SPSS 20.0. RESULTS: Forty-two literatures about treatment plans, and 212 syndromes records were enrolled. Latent structure model was established based on 53 symptoms with frequency over 10, and 14 latent variables and 7 syndromes were concluded by comprehensive clustering, including syndrome of pathogenic heat invading lung, internal block and outward desertion, syndrome of dampness heat accumulating lung, syndrome of Qi and Yin deficiency, syndrome of epidemic virus closing lung, syndrome of cold dampness closing lung and syndrome of Qi deficiency of lung and spleen. Factor analysis was conducted for 53 symptoms, which were reported more than 10 times, and 14 common factors were obtained. Symptoms with load coefficient over 0.3 were clustered and 6 syndromes were obtained, including syndrome of epidemic virus closing lung, syndrome of pathogenic heat invading lung, syndrome of Qi and Yin deficiency, internal block and outward desertion, syndrome of cold dampness closing lung, and syndrome of dampness heat accumulating lung. The literatures included 25 syndromes, and the syndromes with constituent ratio over 5% were internal block and outward desertion (14.62%), syndrome of epidemic virus closing lung (13.68%), syndrome of dampness heat accumulating lung (12.74%), syndrome of Qi deficiency of lung (10.85%), spleen and syndrome of cold dampness closing lung (8.50%), syndrome of Qi and Yin deficiency (8.50%), syndrome of pathogenic heat invading lung (8.02%) and syndrome of dampness repressing defensive Qi of lung (5.66%). Eighty-seven symptoms whose cumulative frequency was 2 838 were referred, including greasy fur (5.25%), fever (4.83%), red tongue (4.37%), rapid pulse (3.74%) and fatigue (3.46%). According to the results above, the common syndromes and their symptoms of COVID-19 were: (1) syndrome of pathogenic heat invading lung: fever, cough, throat-drying, headache, all of the body distressed and constipation, etc.; (2) syndrome of cold dampness closing lung: aversion to cold, all of the body distressed, nausea and vomiting, abdominal distention and loose stool, etc.; (3) syndrome of dampness heat accumulating lung: cough, sticky phlegm, anorexia, thirst without desire to drink and constipation, etc.; (4) syndrome of epidemic virus closing lung: fever, cough, yellow phlegm, wheezing, suffocation and purple lips, etc.; (5) internal block and outward desertion: coma, feel fidgety, suffocation, sweating and feel cold and purple lips, etc.; (6) syndrome of Qi and Yin deficiency: dry cough, sweating, fatigue, thirsty, feverish feeling in palms and soles and loose stool, etc.; (7) syndrome of Qi deficiency of lung and spleen: cough, wheezing, sweating, fatigue, nausea and vomiting, and loose stool, et al. CONCLUSIONS: The common syndromes of COVID-19 were syndrome of pathogenic heat invading lung, syndrome of cold dampness closing lung, syndrome of dampness heat accumulating lung, syndrome of epidemic virus closing lung, internal block and outward desertion, syndrome of Qi and Yin deficiency and syndrome of Qi deficiency of lung and spleen. This study could provide reference for clinical differentiation.