BACKGROUND: Over 65 million people have long COVID. Evidence for using Chinese herbal medicine (CHM) to treat long COVID is growing. A systematic review of evidence for guiding clinical decision is warranted. OBJECTIVE: To examine the effects and safety of CHM in alleviating the severity of dyspnea, fatigue, exercise intolerance, depression, anxiety and insomnia in long COVID adults based on registered randomized clinical trials (RCT). SEARCH STRATEGY: World Health Organization International Clinical Trials Registry Platform and Chinese Clinical Trial Registry were searched for registered trial protocols from database inception to February 10, 2023. English (PubMed, Embase, AMED and CINAHL) and Chinese databases (CNKI, Wanfang Data and CQVIP) were then searched to identify relevant publications from December 2019 through April 6, 2023. INCLUSION CRITERIA: Registered RCTs that compared the effects of Chinese herbal medicines or Chinese herbal formulas against a control treatment (i.e., the placebo or usual care) in adults with persistent symptoms of long COVID. The primary outcome of dyspnea, and secondary outcomes of fatigue, exercise intolerance, depression, anxiety and insomnia were measured using validated tools at the end of the treatment. DATA EXTRACTION AND ANALYSIS: Data were extracted, and eligible RCTs were evaluated using version 2 of the Cochrane risk-of-bias tool for randomized trials and Grading of Recommendations, Assessment, Development and Evaluations independently by two researchers. Effect sizes were estimated by random-effects modelling and mean difference (MD). Heterogeneity between trials was quantified by I². RESULTS: Among the 38 registered clinical trials we identified, seven RCTs (1,519 patients) were included in the systematic review. One RCT had a low overall risk of bias. Compared to the control, CHM reduces dyspnea on the Borg Dyspnea Scale score (MD = -0.2, 95% confidence interval [CI] = -0.65 to 0.25) with moderate certainty, and reduces fatigue on the Borg Scale (MD = -0.48, 95% CI = -0.74 to -0.22) with low certainty. CHM clinically reduces depression on Hamilton Depression Rating Scale score (MD = -6.00, 95% CI = -7.56 to -4.44) and anxiety on Hamilton Anxiety Rating Scale score (MD = -6.10, 95% CI = -7.67 to -4.53), and reduces insomnia on the Insomnia Severity Index (MD = -4.86, 95% CI = -12.50 to 2.79) with moderate certainty. Meta-analysis of two RCTs (517 patients) showed that CHM clinically improves exercise intolerance by increasing 6-minute walking distance (MD = -15.92, 95% CI = -10.20 to 42.05) with substantial heterogeneity (I² = 68%) and low certainty. CONCLUSION CHM is associated with a post-treatment clinical reduction in depression and anxiety in long COVID adults, compared to the control, but it does not have a strong treatment effect on dyspnea and insomnia. Effects of CHM on exercise intolerance and fatigue are uncertain, and the safety of using CHM remains questionable. Please cite this article as: Tsang MS, Zhou IW, Zhang AL, Xue CC. Chinese herbal medicine for dyspnea and persistent symptoms of long COVID: A systematic review and meta-analysis of randomized controlled trials. J Integr Med. 2025; 23(2): 126-137.
Humans ; Dyspnea/etiology* ; Drugs, Chinese Herbal/therapeutic use* ; Randomized Controlled Trials as Topic ; COVID-19/complications* ; Fatigue/drug therapy* ; SARS-CoV-2 ; Anxiety/drug therapy* ; Depression/drug therapy* ; Sleep Initiation and Maintenance Disorders/drug therapy* ; Betacoronavirus

Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections/therapy* ; Humans ; Pandemics/prevention & control* ; Pneumonia, Viral/therapy* ; SARS-CoV-2

Angiotensin II Type 1 Receptor Blockers/adverse effects* ; Angiotensin-Converting Enzyme 2 ; Angiotensin-Converting Enzyme Inhibitors/adverse effects* ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/etiology* ; Humans ; Pandemics ; Peptidyl-Dipeptidase A/physiology* ; Pneumonia, Viral/etiology* ; SARS-CoV-2

Betacoronavirus ; COVID-19 ; Coronavirus Infections/prevention & control* ; Humans ; Masks ; Pandemics/prevention & control* ; Pneumonia, Viral/prevention & control* ; SARS-CoV-2

BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak occurred during the flu season around the world. This study aimed to analyze the impact of influenza A virus (IAV) exposure on COVID-19. METHODS: Seventy COVID-19 patients admitted to the hospital during January and February 2020 in Wuhan, China were included in this retrospective study. Serum tests including respiratory pathogen immunoglobulin M (IgM) and inflammation biomarkers were performed upon admission. Patients were divided into common, severe, and critical types according to disease severity. Symptoms, inflammation indices, disease severity, and fatality rate were compared between anti-IAV IgM-positive and anti-IAV IgM-negative groups. The effects of the empirical use of oseltamivir were also analyzed in both groups. For comparison between groups, t tests and the Mann-Whitney U test were used according to data distribution. The Chi-squared test was used to compare disease severity and fatality between groups. RESULTS: Thirty-two (45.71%) of the 70 patients had positive anti-IAV IgM. Compared with the IAV-negative group, the positive group showed significantly higher proportions of female patients (59.38% vs. 34.21%, χ = 4.43, P = 0.035) and patients with fatigue (59.38% vs. 34.21%, χ = 4.43, P = 0.035). The levels of soluble interleukin 2 receptor (median 791.00 vs. 1075.50 IU/mL, Z = -2.70, P = 0.007) and tumor necrosis factor α (median 10.75 vs. 11.50 pg/mL, Z = -2.18, P = 0.029) were significantly lower in the IAV-positive group. Furthermore, this group tended to have a higher proportion of critical patients (31.25% vs. 15.79%, P = 0.066) and a higher fatality rate (21.88% vs. 7.89%, P = 0.169). Notably, in the IAV-positive group, patients who received oseltamivir had a significantly lower fatality rate (0 vs. 36.84%, P = 0.025) compared with those not receiving oseltamivir. CONCLUSIONS The study suggests that during the flu season, close attention should be paid to the probability of IAV exposure in COVID-19 patients. Prospective studies with larger sample sizes are needed to clarify whether IAV increases the fatality rate of COVID-19 and to elucidate any benefits of empirical usage of oseltamivir.
Adult ; Aged ; Antibodies, Viral/blood* ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/mortality* ; Female ; Humans ; Immunoglobulin M/blood* ; Influenza A virus/immunology* ; Influenza, Human/complications* ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/mortality* ; Retrospective Studies ; SARS-CoV-2 ; Severity of Illness Index

Adult ; Aged ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnosis* ; Diagnosis, Differential ; Female ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia/diagnosis* ; Pneumonia, Viral/diagnosis* ; Retrospective Studies ; SARS-CoV-2

Aged ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/psychology* ; Family ; Female ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/psychology* ; Retrospective Studies ; SARS-CoV-2 ; Severity of Illness Index

Betacoronavirus ; Biomedical Research ; COVID-19 ; Coronavirus Infections/mortality* ; Global Health ; Humans ; Pandemics ; Pneumonia, Viral/mortality* ; SARS-CoV-2

Corona virus disease 2019 (COVID-19) is a new type of coronavirus pneumonia, which is caused by infection of a novel coronavirus, SARS-CoV-2. The virus infects lung cells by binding angiotensin-converting enzyme 2 (ACE2) of cell surface, which leads to leukocyte infiltration, increased permeability of blood vessels and alveolar walls, and decreased surfactant in the lung, causing respiratory symptoms. The aggravation of local inflammation causes cytokine storm, resulting in systemic inflammatory response syndrome. In December 2019, a number of new pneumonia cases were reported by Wuhan Municipal Health Commission, after then a novel coronavirus was isolated and identified as SARS-CoV-2. To the date of Sep. 13th, 2020, COVID-19 is affecting 216 countries or regions, causing 28 637 952 cases, 917 417 deaths, and the mortality rate is 3.20%. This review will summarize the structure of SARS-CoV-2 and the pharmaceutical treatment of COVID-19, and their potential relationships.
Betacoronavirus ; COVID-19 ; Coronavirus Infections/drug therapy* ; Humans ; Pandemics ; Pneumonia, Viral ; SARS Virus ; SARS-CoV-2

OBJECTIVE: To evaluate the application of three-in-one intelligent screening in outpatient pre-inspection in children's hospital. METHODS: We randomly enrolled 100 children pre-screened by traditional method in the outpatient department of Children's Hospital of Zhejiang University from February 6th to 16th, 2020, and another 100 children by the intelligent three-in-one mode from February 17th to 27th, 2020. The traditional triage was conducted by nurses based on face-to-face, one-by-one interview of the epidemiological history and consultation department, and the temperature was measured before manual triage. The intelligent three-in-one model combined online rapid pre-inspection and triage, on-site manual confirmation, as well as synchronized online health education system. For on-line registered patients, the system automatically sent the COVID-19 epidemiological pre-screening triage questionnaire one hour before the appointment, requiring parents to complete and submit online before arriving at the hospital. The on-site registered patients were controlled at 100 m away from the hospital entrance. The nurses guided the parents to scan the QR code and fill in the COVID-19 epidemiological pre-examination triage questionnaire. At the entrance of the hospital, the nurse checked the guidance sheet and took the temperature again. The children with red guidance sheet were checked again and confirmed by pre-examination nurses, and accompanied to the isolation clinic through COVID-19 patients-only entrance. The children with yellow guidance sheet were guided to fever clinic. The children with green guidance sheet could go with their parents to the designated area, and then went to the corresponding consultation area. Health education was carried out throughout the treatment, and the system automatically posted the corresponding outpatient instructions and education courses. Parents would read the courses on their mobile phones and counsel online. The time of pre-examination and the coincidence rate of triage were compared between the two groups. RESULTS: The three-in-one intelligent pre-inspection mode took an average of (25.6±8.0) s for each child, which was significantly shorter than the traditional pre-inspection mode (74.8±36.4) s ( CONCLUSIONS The three-in-one intelligent pre-inspection model can effectively shorten the patient pre-check time, with similar triage coincidence rate to traditional model.
Adult ; Betacoronavirus ; COVID-19 ; Child ; Coronavirus Infections/diagnosis* ; Humans ; Internet ; Outpatient Clinics, Hospital ; Pandemics ; Pneumonia, Viral/diagnosis* ; SARS-CoV-2 ; Surveys and Questionnaires ; Time ; Triage/standards*