INTRODUCTION: The National Institute of Health and Care Excellence (NICE) has defined the terms, 'acute coronavirus disease 2019' (COVID-19), 'ongoing symptomatic COVID-19' and 'post-COVID-19 syndrome', with the latter two described as having persistent symptoms after the onset of COVID-19 symptoms for 4-12 weeks and >12 weeks, respectively. Persistent symptoms can either be due to the after-effects of COVID-19 or new-onset diseases after acute COVID-19. All symptoms observed beyond 4 weeks after the onset of COVID-19 need not be present at the time of onset. Previous studies on persistent post-COVID-19 symptoms have not mentioned new-onset diseases after acute COVID-19, and only a select few studies have discussed such new-onset symptoms. METHODS: Ninety-five patients who attended the post-COVID-19 clinic completed the requisite follow-up till 16 weeks after COVID-19 symptom onset. Data was recorded on a predesigned proforma. Necessary investigations were conducted to rule out any other cause of persistent symptoms. RESULTS: Fatigue (62.1%), breathlessness (50.5%) and cough (27.4%) were the most common symptoms present beyond 4 weeks after the onset of COVID-19 symptoms. Forty-nine (51.57%) patients developed post-COVID-19 syndrome - their severity of symptoms (odds ratio [OR] 17.77) and longer duration of hospital stay (OR 1.095) during acute disease were significantly associated with the development of post-COVID-19 syndrome. During follow-up, 25 patients developed new-onset symptoms, such as diabetes mellitus, hypertension and idiopathic tachycardia. CONCLUSION Patients can have persistent symptoms, new-onset symptoms and new-onset diseases after recovery from acute COVID-19.
Humans ; COVID-19/diagnosis* ; Female ; Male ; Prospective Studies ; Middle Aged ; Adult ; Fatigue/etiology* ; Post-Acute COVID-19 Syndrome ; SARS-CoV-2 ; Aged ; Cough/etiology* ; Dyspnea/etiology*

INTRODUCTION: The COVID-19 pandemic has changed care provision models, with a rapid increase in the adoption of telemedicine to reduce in-person visits. Although there are many benefits to teledermatology, there are also factors that hinder its widespread adoption. We aimed to examine patients' perceptions of teledermatology to identify the barriers to its adoption. METHODS: A prospective study was conducted from 15 June to 14 August 2020. Patients were invited to complete a questionnaire in an outpatient dermatology clinic via direct approach by clinical staff or posters posted at the door of consultation rooms. RESULTS: Out of 2,276 clinic attendances, 997 survey responses (43.8%) were collected over a 3-month period. When asked if they would change their subsequent visit to teledermatology, 294 (29.5%) patients were keen, 166 (16.6%) were unsure and 537 (53.9%) declined. Significant factors for declining teledermatology were lack of prior exposure to videoconferencing ( P < 0.01) and lower educational level ( P = 0.019). Patients also raised concerns regarding the ability of teledermatology to address medical concerns (32.1%) and indicated a preference for face-to-face consultation (29.7%). CONCLUSION Factors that influence patients' decision to adopt teledermatology, such as concerns about its ability to address medical issues, lack of IT literacy or experience in teleconferencing, are modifiable. Targeted strategies such as careful patient selection, a dedicated teleconsultation workflow, and the use of a novel 'teledermatology patient journey' (including a clinic walkthrough at the first visit) and an intuitive audio-enabled user interface, may improve patient perceptions and adoption of teleconsultation service.
Humans ; COVID-19/epidemiology* ; Dermatology/methods* ; Telemedicine ; Male ; Female ; Prospective Studies ; Middle Aged ; Adult ; Surveys and Questionnaires ; SARS-CoV-2 ; Aged ; Perception ; Young Adult ; Pandemics ; Skin Diseases/diagnosis* ; Videoconferencing

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has caused significant mental distress in populations globally. At the frontline of the pandemic, emergency departments (EDs) are the prime setting to observe the effects of the pandemic on the mental health of the population. We aimed to describe the trend of mental health-related ED attendances at an acute hospital in Singapore before and during the various stages of the COVID-19 pandemic. METHODS: This is a retrospective, descriptive study of patients who presented to the ED between 1 January 2019 and 31 December 2020. Patients diagnosed with mental health-related systematised nomenclature of medicine who visited the ED during this period were identified and were placed into mental health diagnosis categories for analysis. A comparison was made between patients who presented before the pandemic (2019) and during the pandemic (2020). RESULTS: During the study periods, we identified 1,421 patients, of whom 27 were excluded due to non-mental health-related diagnoses, leaving 1,394 patients for analysis. There was a 36.7% increase in mental health-related ED presentations from 2019 to 2020. The proportion of higher-acuity mental health-related ED attendances and number of suicide attempts also increased. CONCLUSION Our study described an increase in the proportion of high-acuity mental health-related ED attendances during the COVID-19 pandemic. Emergency physicians must be cognisant of the effects of the pandemic on mental health. Further research should be conducted to better equip the healthcare system for handling all aspects of the pandemic.
Humans ; COVID-19/psychology* ; Emergency Service, Hospital/statistics & numerical data* ; Retrospective Studies ; Singapore/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Mental Disorders/diagnosis* ; Mental Health ; SARS-CoV-2 ; Tertiary Care Centers ; Pandemics ; Aged ; Suicide, Attempted/statistics & numerical data* ; Young Adult ; Adolescent

Viral infections are one of the main causes of deaths and economic losses around the globe, and effective virus detection methods are essential for epidemic prevention and control. Most existing detection methods have problems such as high false negative/positive rates, slow responses, high costs, and dependence on professional equipment and personnel, which are not conducive to the rapid and accurate detection of viruses. Field effect transistor (FET) biosensors have attracted widespread attention due to their advantages of label-free detection, high sensitivity, fast responses, real-time measurement, low power consumption, and small sizes for portability. This article first briefly describes the basic situation of viruses and the structure and detection principle of FET biosensors. Subsequently, it delves into the research achievements in the application of FET biosensors in the detection of influenza viruses, hepatitis viruses, human immunodeficiency virus, and severe acute respiratory syndrome coronavirus 2. Finally, we make a comprehensive summary and reasonable outlook on the role played by FET biosensors in biomedicine.
Biosensing Techniques/instrumentation* ; Transistors, Electronic ; Humans ; SARS-CoV-2/isolation & purification* ; Viruses/isolation & purification* ; Orthomyxoviridae/isolation & purification* ; Hepatitis Viruses/isolation & purification* ; Virus Diseases/virology* ; HIV/isolation & purification* ; COVID-19/diagnosis*

OBJECTIVES: To investigate the positive rate of enterovirus (EV) nucleic acid in throat swabs of term late neonates hospitalized during the coronavirus disease 2019 (COVID-19) epidemic and the clinical characteristics of the neonates. METHODS: A single-center cross-sectional study was performed on 611 term late infants who were hospitalized in the neonatal center from October 2020 to September 2021. Throat swabs were collected on admission for coxsackie A16 virus/EV71/EV universal nucleic acid testing. According to the results of EV nucleic acid test, the infants were divided into a positive EV nucleic acid group (8 infants) and a negative EV nucleic acid group (603 infants). Clinical features were compared between the two groups. RESULTS: Among the 611 neonates, 8 tested positive for EV nucleic acid, with a positive rate of 13.1‰, among whom 7 were admitted from May to October. There was a significant difference in the proportion of infants contacting family members with respiratory infection symptoms before disease onset between the positive and negative EV nucleic acid groups (75.0% vs 10.9%, P<0.001). There were no significant differences between the two groups in demographic data, clinical symptoms, and laboratory test results (P>0.05). CONCLUSIONS There is a certain proportion of term late infants testing positive for EV nucleic acid in throat swabs during the COVID-19 epidemic, but the proportion is low. The clinical manifestations and laboratory test results of these infants are non-specific. Transmission among family members might be an important cause of neonatal EV infection.
Infant ; Infant, Newborn ; Humans ; Enterovirus ; COVID-19/diagnosis* ; Cross-Sectional Studies ; Pharynx ; Nucleic Acids ; Enterovirus Infections

Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world's healthcare systems, wreaking havoc, and spreading rapidly through human contact. With fever, fatigue, and a persistent dry cough being the hallmark symptoms, this disease threatened to destabilize the delicate balance of our global community. Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region, and an important factor in epidemic assessment and the development of control measures. It also plays a crucial role in ensuring that patients receive the appropriate medical treatment, leading to optimal patient care. Reverse transcription-polymerase chain reaction (RT-PCR) technology is currently the most mature method for detecting viral nucleic acids, but it has many drawbacks. Meanwhile, a variety of COVID-19 detection methods, including molecular biological diagnostic, immunodiagnostic, imaging, and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs. These methods can help clinicians diagnose and treat COVID-19 patients. This review describes the variety of such methods used in China, providing an important reference in the field of the clinical diagnosis of COVID-19.
Humans ; Artificial Intelligence ; China ; COVID-19/diagnosis* ; COVID-19 Testing

The global coronavirus disease 2019 (COVID-19) pandemic has had a massive impact on global social and economic development and human health. By combining traditional Chinese medicine (TCM) with modern medicine, the Chinese government has protected public health by supporting all phases of COVID-19 prevention and treatment, including community prevention, clinical treatment, control of disease progression, and promotion of recovery. Modern medicine focuses on viruses, while TCM focuses on differential diagnosis of patterns associated with viral infection of the body and recommends the use of TCM decoctions for differential treatment. This differential diagnosis and treatment approach, with its profoundly empirical nature and holistic view, endows TCM with an accessibility advantage and high application value for dealing with COVID-19. Here, we summarize the advantage of and evidence for TCM use in COVID-19 prevention and treatment to draw attention to the scientific value and accessibility advantage of TCM and to promote the use of TCM in response to public health emergencies. Please cite this article as: Huang M, Liu YY, Xiong K, Yang FW, Jin XY, Wang ZQ, Zhang JH, Zhang BL. The role and advantage of traditional Chinese medicine in the prevention and treatment of COVID-19. J Integr Med. 2023; 21(5): 407-412.
Humans ; Asian People ; COVID-19/prevention & control* ; Diagnosis, Differential ; Medicine, Chinese Traditional/methods* ; Pandemics/prevention & control*

Humans ; COVID-19/complications* ; Arrhythmias, Cardiac/diagnosis* ; Anti-Arrhythmia Agents/therapeutic use*

Humans ; COVID-19/complications* ; SARS-CoV-2 ; Lung ; Abdominal Pain/diagnosis*

After the first outbreak of corona virus disease 2019 (COVID-19) at the end of 2019, it has caused multiple rounds of transmission in many countries around the world. Cancer patients are mainly elderly people, and the immunosuppression state caused by the tumor itself and anti-tumor treatment, more accompanying underlying diseases, and more hospital environmental exposure leading to a higher incidence of COVID-19 infection. The proportion of severe cases after infection is high, and the mortality is high. Therefore, based on the domestic and foreign research and clinical practice, the Expert Committee of Geriatric Cancer Prevention and Treatment of Chinese Society of Clinical Oncology launched a discussion based on the characteristics of cancer patients, including the epidemiology, clinical manifestations, differential diagnosis, definition and risk factors of severe cases, diagnosis and treatment recommendations, recovery of anti-tumor treatment and vaccination recommendations. To provide the corresponding suggestions for the clinical diagnosis and treatment of such patients.
Humans ; Adult ; Aged ; COVID-19/diagnosis* ; Neoplasms/epidemiology* ; Incidence ; Disease Outbreaks ; Diagnosis, Differential ; COVID-19 Testing