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

OBJECTIVES: To explore the psychological status of medical staff in the epidemic period of coronavirus disease 2019 (COVID-19), and to analyze its influential factors. METHODS: A total of 373 medical staff from Xiangya Hospital and the Second Xiangya Hospital of Central South University were enrolled for this study. The General Sociological Data Questionnaire, Symptom Check-List 90 (SCL-90), and self-designed public opinion response questionnaire were used to assess general sociological data, mental health scores, and ability to respond to COVID-19 related public opinion information of medical staff. The mental health scores of medical staff with different general sociological data and public opinion information coping abilities were compared. Influential factors of mental health were analyzed. RESULTS: The average score of 10 factors in SCL-90 of 373 medical staff was less than 2 points. 14.21% medical staff had one or more factor scores more than two points, including 11.26% with terror symptoms, 7.77% with compulsive symptoms, and 5.63% with anxiety. The main sources of COVID-19 information for medical staff included WeChat, microblog, Jinri toutiao, TV and radio. 66.22% medical staff regularly verified information about COVID-19 through official websites or formal channels. A great deal of COVID-19 information in WeChat could make medical staff nervous (34.05%), anxious (30.29%), and insecure (29.22%). 68.63% medical staff sometimes were worried about getting infected because they knew information about COVID-19. Different departments of medical staff, getting cough or having a fever recently, and the degree of fear of infection had an impact on the SCL-90 score of medical staff, the differences were all statistically significant (all <0.05). Stepwise regression analysis showed that the impact of COVID-19 information on their life in WeChat, getting cough or having a fever recently, insomnia-early caused by COVID-19 information in WeChat, different departments, and the degree of fear of infection COVID-19 were the influential factors for the mental health of medical staff (all <0.05). CONCLUSIONS During the epidemic of COVID-19, medical staff suffered from psychological problems to various degrees. It is necessary to establish a psychological assistance platform and guide the direction of public opinion correctly to promote the mental health of medical staff.
Anxiety ; Betacoronavirus ; China ; Compulsive Behavior ; Coronavirus Infections ; epidemiology ; psychology ; Fear ; Health Status ; Humans ; Medical Staff ; psychology ; Mental Health ; Pandemics ; Pneumonia, Viral ; epidemiology ; psychology ; Surveys and Questionnaires

OBJECTIVES: To investigate the attitudes and skills of grief counseling in the front-line medical workers from coronavirus disease 2019 (COVID-19) designated hospitals in Wuhan for the bereaved family members and to provide the basis for proper hospital management strategies. METHODS: The convenience sampling method was applied to select 422 medical workers who kept touch with the bereaved family members in five COVID-19 designated hospitals in Wuhan from January to February 2020. Questionnaire regarding grief counseling attitudes and questionnaire regarding grief counseling skills were used to evaluate the attitudes and skills of grief counseling in medical workers. The scores of grief counseling attitudes and skills in group of different characteristics were further compared. Pearson correlation was used to analyze the attitudes and skills of grief counseling in medical workers. RESULTS: The scores of grief counseling attitudes in medical workers were 15-46 (33.00±9.31). Length of service, professional title, whether or not receiving relevant training, frequency of contact with bereaved family members contributed to impacting the medical workers' attitudes of grief counseling (all <0.05). The scores of grief counseling skills in medical workers were 9-30 (19.30±4.42). Length of service, professional title, religion, whether or not receiving relevant training, frequency of contact with bereaved family members contributed to impacting the medical workers' skills of grief counseling (all <0.05). There was a significant positive correlation between the attitudes and skills of grief counseling in the medical workers (=0.608, <0.01). CONCLUSIONS The attitudes and skills of grief counseling in the medical workers from COVID-19 designated hospitals in Wuhan still need to be improved. Grief counseling group and a long-term, comprehensive training system are recommended.
Attitude of Health Personnel ; Betacoronavirus ; China ; Coronavirus Infections ; psychology ; Counseling ; Grief ; Health Personnel ; psychology ; Hospitals ; Humans ; Pandemics ; Pneumonia, Viral ; psychology

OBJECTIVES: To investigate the insomnia status and relevant factors for the medical staff in the medical aid team for Hubei Province during the outbreak of coronavirus disease 2019. METHODS: A convenient sampling survey was conducted among 1 056 medical staff in the national medical team of Hubei Province by using the Insomnia Severity Index (ISI) and the Regulatory Emotional Self-Efficacy (RES). RESULTS: The incidence from moderate to severe insomnia was 35.14%, and the total self-efficacy of emotion regulation was 3.60±0.91. Univariate analysis showed that the incidence of insomnia in female medical workers in Hubei Province was higher than that of male medical workers, which was increased with the elongation of work time and frequency. In addition, insomnia was associated with age, perceived ambient exposure and infection, and RES scores. Stepwise regression analysis showed that the occurrence of insomnia was mainly related to gender, perceived peripheral exposure, infection, and RES scores. CONCLUSIONS Insomnia is very common among medical workers in Hubei Province during the COVID-19 epidemic. Insomnia is related to the medical work status, the gender and their own emotional management and regulation in the epidemic area.
Betacoronavirus ; China ; Coronavirus Infections ; psychology ; Emotional Regulation ; Female ; Humans ; Male ; Medical Staff ; psychology ; Pandemics ; Pneumonia, Viral ; psychology ; Sex Factors ; Sleep Initiation and Maintenance Disorders ; etiology

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis, which elicits psychological problems in different population This study is to investigate the impact of COVID-19 on mental health in the front-line staff. METHODS: Patient Health Questionnare-9 (PHQ-9), Self-Rating Anxiety Scale (SAS), and Fatigue Self-assessment Scale (FSAS) were used to assess the depression, anxiety, and fatigue in front-line staff. RESULTS: The detection rates of depression, anxiety, and fatigue were 49.1%, 21.8%, and 76.0% among the front-line staff. The rates of depression, anxiety, and fatigue in community workers were higher than those in medical workers and other occupational staff (<0.01). The PHQ-9 of front-line staffs was negatively correlated with age, family income, family members' support, satisfaction of service objects, and sleep quality (all <0.01), while positively correlated with education level, fatigue, fear of pneumonia, and the duration of daily attention to the COVID-19 (all <0.01). SAS was negatively correlated with age, family income, family support, satisfaction of objects service, and sleep quality (all <0.01), while positively correlated with gender, fatigue, fear of pneumonia, and duration of daily attention to the COVID-19 (all <0.01). CONCLUSIONS The front-line workers should manage work and rest time reasonably to adjust their negative mood and fatigue. The government and the society should pay more attention to the psychological state of the front-line staff, particularly for the staff working in the community or villages and towns in preventing the COVID-19 pandemic. Thus, front-line staff can be obtained mental intervention or be taken a rest from the high-intensive work.
Anxiety ; diagnosis ; Betacoronavirus ; Coronavirus Infections ; prevention & control ; psychology ; Depression ; diagnosis ; Fatigue ; diagnosis ; Health Personnel ; psychology ; Humans ; Mental Health ; Pandemics ; prevention & control ; Pneumonia, Viral ; prevention & control ; psychology

The coronavirus disease 2019 (COVID-19) is a new infectious disease, which has a strong virus transmission power and complex transmission routes. This disease is prone to outbreak of cluster infection. It is difficult for medical workers to provide a better perioperative treatment for surgery patient with COVID-19 while avoiding hospital spread effectively. The perioperative management for such patients needs to fully consider the possible lung injury factors caused by anesthesia and surgery. It also needs to choose the suitable timing of the operation, carry out preoperative infection screening and evaluation, and implement lung protection strategies during and after the operation to avoid aggravating the lung injury. Meanwhile, it is necessary to pay more attention to infection prevention and control in order to avoid nosocomial infection.
Betacoronavirus ; Coronavirus Infections ; therapy ; Cross Infection ; prevention & control ; Humans ; Lung ; pathology ; virology ; Pandemics ; Perioperative Care ; Pneumonia, Viral ; therapy

Since the outbreak of COVID-19, the prevention and control of nosocomial infections has been highly valued. Airway management, including endotracheal intubation, extubation, and suction, has been considered as the high-risk virus-spreading procedures, which can put the health providers at a high risk of nosocomial infections. As hospitals at all levels will gradually resume their routine medical work, effective managements for the airway of the silent asymptomatic carriers and patients with delayed symptoms, treatment for severe patients, and prevention of cross infection in hospital have become the focus for the current prevention and control of nosocomial infections. Under the guidance of partitioned and graded prevention and differential control strategies at this stage, we comprehensively analyzed four main intubation methods used in the current clinical work including rapid sequence intubation, laryngeal mask insertion, intubation guided by video flexible intubating scope and awake tracheal intubation. Furthermore, we discussed and summarized intubation and protection strategies for 3 categories of patients during the COVID-19 pandemic, providing evidence for protecting medical stuff in operating room and ICU against severe acute respiratory syndrome coronavirus 2 infection.
Airway Management ; Betacoronavirus ; Coronavirus Infections ; prevention & control ; therapy ; Cross Infection ; prevention & control ; Humans ; Intubation ; Laryngeal Masks ; Pandemics ; prevention & control ; Pneumonia, Viral ; prevention & control ; therapy

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the outbreak of coronavirus disease 2019 in Wuhan City, China. The SARS-CoV-2 is genetically similar to the coronavirus derived from bat. The SARS-CoV-2, the SARS-CoV and the Middle East respiratory syndrome coronavirus (MERS-CoV) all belong to beta coronavirus. Since the outbreak of the coronavirus disease 2019, effective antiviral drugs have become a hot issue in the world. Very little about SARS-CoV-2 is known and there is no precedent for treatment. The National Health Commission has repeatedly revised the diagnosis and treatment guide for the coronavirus disease 2019. The latest guide is "New Coronary Virus-Infected Pneumonia Diagnosis and Treatment Plan (Seventh Trial Version)"(short for Seventh Version of Diagnosis and Treatment Plan). But the use of antiviral drugs is still on trial and no rigorous clinical trials data is available. Hot anti-SARS-CoV-2 drugs include interferon α, ribavirin, lopinavir/ritonavir, chloroquine phosphate, abidol, as well as hydroxychloroquine sulfate and remdesivir. But the later 2 drugs aren't mentioned in the Seventh Version of Diagnosis and Treatment Plan.
Antiviral Agents ; therapeutic use ; Betacoronavirus ; China ; Coronavirus Infections ; drug therapy ; Humans ; Pandemics ; Pneumonia, Viral ; drug therapy ; Practice Guidelines as Topic

OBJECTIVES: To analyze the regional epidemic features of coronavirus disease 2019 (COVID-19) in Henan Province, China. METHODS: According to the data of COVID-19 patients and the resident population at the end of 2018 in Henan Province, statistical description and analysis of epidemiological characteristics of COVID-19 in Henan Province were conducted, including the time distribution, population distribution, and regional distribution. RESULTS: The cumulative incidence of COVID-19 in Henan Province was 1.32/100 000, the cure rate was 98.03%, and the fatality rate was 1.73% by March 9, 2020. The incidence curve showed that the epidemic peak reached from January 24 to January 28. The high-incidence area was Xinyang, with a standardized cumulative incidence rate of 4.36/100 000. There were 580 female COVID-19 patients (45.60%), 688 males (54.09%) in Henan Province. The incidence of males was 1.41/100 000, while the incidence of females was 1.23/100 000. The age with the highest incidence of COVID-19 in Henan Province was 20-69 years old (88.68%). The incidence rate was highest in men aged 30-39 (2.51/ 100 000), while the lowest rate in women aged 0-9 (0.16/100 000). There were 1 225 local patients (96.31%), and the rural patients (45.73%) were slightly higher than the urban patients (44.02%) in Henan Province. A total of 63.60% patients had traveled or lived in Hubei or contacted with people who came from Hubei to Henan. The proportion of patients whose family members suffered from COVID-19 was 32.70%. Global spatial autocorrelation analysis suggested that there was a statistically significant positive correlation in the spatial distribution of COVID-19 patients in Henan Province (Moran's =0.248, =2.955, <0.01). CONCLUSIONS There are differences in the morbidity and mortality of COVID-19 patients in different areas of Henan Province, with epidemic peak reaching from January 24 to January 28. Henan is dominated by local patients, male patients, and patients with contact history in Hubei. The space appears to be moderately clustered.
Adult ; Aged ; Betacoronavirus ; Child ; Child, Preschool ; China ; epidemiology ; Coronavirus Infections ; epidemiology ; Female ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral ; epidemiology ; Spatial Analysis ; Young Adult

OBJECTIVES: To explore and analyze the epidemic features of coronavirus disease 2019 (COVID-19) in Hunan Province from January 21, 2020 to March 14, 2020, as well as to investigate the COVID-19 epidemics in each city of Hunan Province. METHODS: The epidemic data was obtained from the official website of Hunan Province's Health Commission. The data of each city of Hunan Province was analyzed separately. Spatial distribution of cumulative confirmed COVID-19 patients and the cumulative occurrence rate was drawn by ArcGIS software for each city in Hunan Province. Some regional indexes were also compared with that in the whole country. RESULTS: The first patient was diagnosed in January 21, sustained patient growth reached its plateau in around February 17. Up to March 14, the cumulative confirmed COVID-19 patients stopped at 1 018. The cumulative occurrence rate of COVID-19 patients was 0.48 per 0.1 million person. The number of cumulative severe patients was 150 and the number of cumulative dead patients was 4. The mortality rate (0.39%) and the cure rate (99.6%) in Hunan Province was significantly lower and higher respectively than the corresponding average rate in the whole country (0.90% and 96.2%, Hubei excluded). The first 3 cities in numbers of the confirmed patients were Changsha, Yueyang, and Shaoyang. While sorted by the cumulative occurrence rate, the first 3 cities in incidence were Changsha, Yueyang, and Zhuzhou. CONCLUSIONS The epidemic of COVID-19 spread out smoothly in Hunan Province. The cities in Hunan Province implement anti-disease strategies based on specific situations on their own and keep the epidemic in the range of controllable.
Betacoronavirus ; China ; epidemiology ; Cities ; epidemiology ; Coronavirus Infections ; epidemiology ; mortality ; Humans ; Pandemics ; Pneumonia, Viral ; epidemiology ; mortality