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1.
Viruses ; 14(8)2022 08 11.
Article in English | MEDLINE | ID: covidwho-1987987

ABSTRACT

Despite recovering from the acute phase of coronavirus disease (COVID-19), many patients report continuing symptoms that most commonly include fatigue, cough, neurologic problems, hair loss, headache, and musculoskeletal pain, a condition termed long-COVID syndrome. Neither its etiopathogenesis, nor its clinical presentation or risk factors are fully understood. Therefore, the purpose of this study was to retrospectively evaluate the most common symptoms of long-COVID among patients from the STOP COVID registry of the PoLoCOV study, and to search for risk factors for development of the syndrome. The registry includes patients who presented to the medical center for persistent clinical symptoms following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The analysis included data from initial presentation and at three-month follow-up. Of the 2218 patients, 1569 (70.7%) reported having at least one symptom classified as long-COVID syndrome three months after recovery from the initial SARS-CoV-2 infection. The most common symptoms included chronic fatigue (35.6%\), cough (23.0%), and a set of neurological symptoms referred to as brain fog (12.1%). Risk factors for developing long-COVID syndrome included female gender (odds ratio [OR]: 1.48, 95% confidence intervals [CI] [1.19-1.84]), severe COVID-19 (OR: 1.56, CI: 1.00-2.42), dyspnea (OR: 1.31, CI: 1.02-1.69), and chest pain (OR: 1.48, CI: 1.14-1.92). Long-COVID syndrome represents a significant clinical and social problem. The most common clinical manifestations are chronic fatigue, cough, and brain fog. Given the still-limited knowledge of long-COVID syndrome, further research and observation are needed to better understand the mechanisms and risk factors of the disease.


Subject(s)
COVID-19 , Fatigue Syndrome, Chronic , COVID-19/complications , COVID-19/epidemiology , Cough/epidemiology , Cough/virology , Fatigue Syndrome, Chronic/epidemiology , Fatigue Syndrome, Chronic/virology , Female , Humans , Mental Fatigue/epidemiology , Mental Fatigue/virology , Registries , Retrospective Studies , SARS-CoV-2
2.
BMJ Open ; 12(4): e057863, 2022 04 29.
Article in English | MEDLINE | ID: covidwho-1832458

ABSTRACT

OBJECTIVE: To investigate if the physical activity (PA) prior to infection is associated with the severity of the disease in patients positively tested for COVID-19, as well as with the most common symptoms. DESIGN: A cross-sectional study using baseline data from a prospective, hybrid cohort study (Predi-COVID) in Luxembourg. Data were collected from May 2020 to June 2021. SETTING: Real-life setting (at home) and hospitalised patients. PARTICIPANTS: All volunteers aged >18 years with confirmed SARS-CoV-2 infection, as determined by reverse transcription-PCR, and having completed the PA questionnaire (n=452). PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was disease severity (asymptomatic, mild illness and moderate illness). The secondary outcomes were self-reported symptoms. RESULTS: From the 452 patients included, 216 (48%) were female, the median (IQR) age was 42 (31-51) years, 59 (13%) were classified as asymptomatic, 287 (63%) as mild illness and 106 (24%) as moderate illness. The most prevalent symptoms were fatigue (n=294; 65%), headache (n=281; 62%) and dry cough (n=241; 53%). After adjustment, the highest PA level was associated with a lower risk of moderate illness (OR 0.37; 95% CI 0.14 to 0.98, p=0.045), fatigue (OR 0.54; 95% CI 0.30 to 0.97, p=0.040), dry cough (OR 0.55; 95% CI 0.32 to 0.96, p=0.034) and chest pain (OR 0.32; 95% CI 0.14 to 0.77, p=0.010). CONCLUSIONS: PA before COVID-19 infection was associated with a reduced risk of moderate illness severity and a reduced risk of experiencing fatigue, dry cough and chest pain, suggesting that engaging in PA may be an effective approach to minimise the severity of COVID-19. TRIAL REGISTRATION NUMBER: NCT04380987.


Subject(s)
COVID-19 , Exercise , Adult , COVID-19/epidemiology , Chest Pain/virology , Cohort Studies , Cough/virology , Cross-Sectional Studies , Fatigue/virology , Female , Humans , Luxembourg/epidemiology , Male , Middle Aged , Prospective Studies , SARS-CoV-2 , Severity of Illness Index
3.
Travel Med Infect Dis ; 34: 101623, 2020.
Article in English | MEDLINE | ID: covidwho-1764000

ABSTRACT

INTRODUCTION: An epidemic of Coronavirus Disease 2019 (COVID-19) began in December 2019 in China leading to a Public Health Emergency of International Concern (PHEIC). Clinical, laboratory, and imaging features have been partially characterized in some observational studies. No systematic reviews on COVID-19 have been published to date. METHODS: We performed a systematic literature review with meta-analysis, using three databases to assess clinical, laboratory, imaging features, and outcomes of COVID-19 confirmed cases. Observational studies and also case reports, were included, and analyzed separately. We performed a random-effects model meta-analysis to calculate pooled prevalences and 95% confidence intervals (95%CI). RESULTS: 660 articles were retrieved for the time frame (1/1/2020-2/23/2020). After screening, 27 articles were selected for full-text assessment, 19 being finally included for qualitative and quantitative analyses. Additionally, 39 case report articles were included and analyzed separately. For 656 patients, fever (88.7%, 95%CI 84.5-92.9%), cough (57.6%, 95%CI 40.8-74.4%) and dyspnea (45.6%, 95%CI 10.9-80.4%) were the most prevalent manifestations. Among the patients, 20.3% (95%CI 10.0-30.6%) required intensive care unit (ICU), 32.8% presented with acute respiratory distress syndrome (ARDS) (95%CI 13.7-51.8), 6.2% (95%CI 3.1-9.3) with shock. Some 13.9% (95%CI 6.2-21.5%) of hospitalized patients had fatal outcomes (case fatality rate, CFR). CONCLUSION: COVID-19 brings a huge burden to healthcare facilities, especially in patients with comorbidities. ICU was required for approximately 20% of polymorbid, COVID-19 infected patients and hospitalization was associated with a CFR of >13%. As this virus spreads globally, countries need to urgently prepare human resources, infrastructure and facilities to treat severe COVID-19.


Subject(s)
Coronavirus Infections/diagnosis , Pneumonia, Viral/diagnosis , Betacoronavirus , COVID-19 , Coronavirus Infections/pathology , Cough/virology , Fever/virology , Hospitalization , Humans , Intensive Care Units , Pandemics , Pneumonia, Viral/pathology , Respiratory Distress Syndrome/virology , SARS-CoV-2
5.
PLoS One ; 16(12): e0261437, 2021.
Article in English | MEDLINE | ID: covidwho-1581743

ABSTRACT

BACKGROUND AND OBJECTIVES: At present, the focus of the fighting against COVID-19 in China is shifting to strictly prevent the entrance of cases from abroad and disease transmission. Therefore, it is extremely urgent to better understand the clinical features of imported cases from overseas countries, which is conductive to formulate the corresponding countermeasures. This study aimed to describe the clinical features of COVID-19 cases imported from Russia through the Suifenhe port, in order to identify baseline and clinical data associated with disease progression and present corresponding countermeasures. METHODS: All COVID-19 cases imported from Russia through the Suifenhe port were included in this retrospective study. According to the "Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (seventh edition)", imported COVID-19 cases were divided into asymptomatic infection, mild, moderate, severe, and critical groups. Baseline and clinical data, including age, gender, comorbidities, disease severity, symptoms at onset, body temperature, white blood cell (WBC) count, lymphocyte (LYMPH) count, lymphocyte percentage (LYM%), C-reactive protein (CRP), oxygenation index (OI), and the use therapeutic modalities were obtained on admission, and then compared between groups. RESULTS: A total of 375 COVID-19 cases imported from Russia through Suifenhe port were included, of whom the asymptomatic infection, mild, moderate, severe, and critical groups accounted for 4.0%, 13.9%, 75.5%, 5.3%, and 1.3%, respectively. The majority of the imported COVID-19 cases were men (61.9%) with a median age of 38.72 years who had no comorbidity (87.7%). Nearly one-third of them (33.1%) were asymptomatic at onset, and common initial symptoms included fever (36.5%), cough (36.0%), pharyngeal discomfort (12.3%), expectoration (8.0%), and chest tightness (5.3%). In total, 180 (48%) and 4 (1.1%) enrolled imported cases received nasal tube oxygen inhalation therapy and high-flow oxygen absorption, respectively; the remaining patients did not undergo oxygen therapy. The values of age, body temperature, WBC, LYMPH, LYM%, CRP, and OI were 38.72 ± 10.50, 35.10 ± 7.92, 5.59 ± 1.97, 1.67 ± 0.68, 31.05 ± 10.22, 8.00 ± 14.75, and 389.03 ± 74.07, respectively. Gender, age, LYMPH, LYM%, symptoms at onset, cough, fever, other rare symptoms, and oxygen therapy showed significant differences between groups (P = 0.036, < 0.001, < 0.001, < 0.001, < 0.001, < 0.001, < 0.001, = 0.045, < 0.001, respectively). CONCLUSIONS: Compared with domestic confirmed patients, COVID-19 patients who arrived at China from Russia through the Suifenhe port had significantly different clinical features, and the differences in gender, age, LYMPH, LYM%, symptoms at onset, cough, fever, other rare symptoms, and oxygen therapy between groups were statistically significant. Therefore, detailed and comprehensive countermeasures were developed to manage and prevent another outbreak based on these clinical features.


Subject(s)
COVID-19/epidemiology , COVID-19/etiology , Adolescent , Adult , Aged , COVID-19/therapy , China/epidemiology , Comorbidity , Cough/virology , Female , Humans , Lymphocyte Count , Male , Middle Aged , Retrospective Studies , Russia , Severity of Illness Index , Young Adult
6.
Biomed Res Int ; 2021: 6671291, 2021.
Article in English | MEDLINE | ID: covidwho-1518179

ABSTRACT

BACKGROUND: With the COVID-19 epidemic breakout in China, up to 25% of diagnosed cases are considered to be severe. To effectively predict the progression of COVID-19 via patients' clinical features at an early stage, the prevalence of these clinical factors and their relationships with severe illness were assessed. METHODS: In this study, electronic databases (PubMed, Embase, Web of Science, and Chinese database) were searched to obtain relevant studies, including information on severe patients. Publication bias analysis, sensitivity analysis, prevalence, sensitivity, specificity, likelihood ratio, diagnosis odds ratio calculation, and visualization graphics were achieved through software Review Manager 5.3, Stata 15, Meta-DiSc 1.4, and R. RESULTS: Data of 3.547 patients from 24 studies were included in this study. The results revealed that patients with chronic respiratory system diseases (pooled positive likelihood 6.07, 95% CI: 3.12-11.82), chronic renal disease (4.79, 2.04-11.25), cardiovascular disease (3.45, 2.19-5.44), and symptoms of the onset of chest tightness (3.8, 1.44-10.05), shortness of breath (3.18, 2.24-4.51), and diarrhea (2.04, 1.38-3.04) exhibited increased probability of progressing to severe illness. C-reactive protein, ratio of neutrophils to lymphocytes, and erythrocyte sedimentation rate increased a lot in severe patients compared to nonsevere. Yet, it was found that clinical features including fever, cough, and headache, as well as some comorbidities, have little warning value. CONCLUSIONS: The clinical features and laboratory examination could be used to estimate the process of infection in COVID-19 patients. The findings contribute to the more efficient prediction of serious illness for patients with COVID-19 to reduce mortality.


Subject(s)
COVID-19/epidemiology , COVID-19/etiology , C-Reactive Protein/analysis , Cardiovascular Diseases/epidemiology , Comorbidity , Cough/virology , Diabetes Mellitus/epidemiology , Female , Fever/virology , Hematologic Tests , Humans , Hypertension/epidemiology , Male , Severity of Illness Index
7.
Pediatr Ann ; 50(7): e277-e281, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1497428

ABSTRACT

The article reviews and analyzes the different ear, nose, and throat (ENT)-related manifestations reported in coronavirus disease 2019 (COVID-19)-positive pediatric patients (age <18 years) in peer-reviewed and published literature. We searched the PubMed database using medical subject headings and associated key words, focusing on ENT symptoms in children with COVID-19. We included relevant published and peer-reviewed articles in English and excluded case reports and articles in press. There were 1,140 children positive for COVID-19 (56% boys) in the 23 studies included in this review. Although 11% of patients were asymptomatic, the most common symptoms reported were fever (48%) and cough (37%). Nasal symptoms (stuffy nose, nasal congestion, rhinorrhea) and sore throat occurred in about 22% of all patients. Otitis, dizziness, anosmia, and ageusia are hardly reported in children with COVID-19. Although fever and cough are the most common symptoms, ENT manifestations are frequently observed in pediatric patients with COVID-19. [Pediatr Ann. 2021;50(7):e277-e281.].


Subject(s)
COVID-19/complications , Cough/virology , Fever/virology , Pharyngitis/virology , Child , Humans , Rhinorrhea/virology
9.
Pol J Microbiol ; 70(3): 401-404, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1441450

ABSTRACT

SARS-CoV-2 was found in a recovered patient's stool specimen by combining quantitative reverse transcription PCR (qRT-PCR) and genome sequencing. The patient was virus positive in stool specimens for at least an additional 15 days after he was recovered, whereas respiratory tract specimens were negative. The discovery of the complete genome of SARS-CoV-2 in the stool sample of the recovered patient demonstrates a cautionary warning that the potential mode of the virus transmission cannot be excluded through the fecal-oral route after viral clearance in the respiratory tract.


Subject(s)
COVID-19/virology , Convalescence , Feces/virology , Genome, Viral , SARS-CoV-2/genetics , Whole Genome Sequencing , Adult , COVID-19/diagnostic imaging , COVID-19/transmission , China , Cough/virology , Fever/virology , Humans , Male , SARS-CoV-2/isolation & purification , Tomography, X-Ray Computed
10.
PLoS Med ; 18(9): e1003777, 2021 09.
Article in English | MEDLINE | ID: covidwho-1440982

ABSTRACT

BACKGROUND: Rapid detection, isolation, and contact tracing of community COVID-19 cases are essential measures to limit the community spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We aimed to identify a parsimonious set of symptoms that jointly predict COVID-19 and investigated whether predictive symptoms differ between the B.1.1.7 (Alpha) lineage (predominating as of April 2021 in the US, UK, and elsewhere) and wild type. METHODS AND FINDINGS: We obtained throat and nose swabs with valid SARS-CoV-2 PCR test results from 1,147,370 volunteers aged 5 years and above (6,450 positive cases) in the REal-time Assessment of Community Transmission-1 (REACT-1) study. This study involved repeated community-based random surveys of prevalence in England (study rounds 2 to 8, June 2020 to January 2021, response rates 22%-27%). Participants were asked about symptoms occurring in the week prior to testing. Viral genome sequencing was carried out for PCR-positive samples with N-gene cycle threshold value < 34 (N = 1,079) in round 8 (January 2021). In univariate analysis, all 26 surveyed symptoms were associated with PCR positivity compared with non-symptomatic people. Stability selection (1,000 penalized logistic regression models with 50% subsampling) among people reporting at least 1 symptom identified 7 symptoms as jointly and positively predictive of PCR positivity in rounds 2-7 (June to December 2020): loss or change of sense of smell, loss or change of sense of taste, fever, new persistent cough, chills, appetite loss, and muscle aches. The resulting model (rounds 2-7) predicted PCR positivity in round 8 with area under the curve (AUC) of 0.77. The same 7 symptoms were selected as jointly predictive of B.1.1.7 infection in round 8, although when comparing B.1.1.7 with wild type, new persistent cough and sore throat were more predictive of B.1.1.7 infection while loss or change of sense of smell was more predictive of the wild type. The main limitations of our study are (i) potential participation bias despite random sampling of named individuals from the National Health Service register and weighting designed to achieve a representative sample of the population of England and (ii) the necessary reliance on self-reported symptoms, which may be prone to recall bias and may therefore lead to biased estimates of symptom prevalence in England. CONCLUSIONS: Where testing capacity is limited, it is important to use tests in the most efficient way possible. We identified a set of 7 symptoms that, when considered together, maximize detection of COVID-19 in the community, including infection with the B.1.1.7 lineage.


Subject(s)
COVID-19/complications , COVID-19/diagnosis , Models, Biological , Ageusia/diagnosis , Ageusia/etiology , Ageusia/virology , Anosmia/diagnosis , Anosmia/etiology , Anosmia/virology , Appetite , Area Under Curve , COVID-19/virology , Chills/diagnosis , Chills/etiology , Chills/virology , Communicable Disease Control , Cough/diagnosis , Cough/etiology , Cough/virology , England , False Positive Reactions , Female , Fever/diagnosis , Fever/etiology , Fever/virology , Humans , Male , Mass Screening , Myalgia/diagnosis , Myalgia/etiology , Myalgia/virology , Pharyngitis/diagnosis , Pharyngitis/etiology , Pharyngitis/virology , Polymerase Chain Reaction , SARS-CoV-2/genetics , State Medicine
11.
Ghana Med J ; 54(4 Suppl): 33-38, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1436192

ABSTRACT

The study examined the clinical characteristics and outcomes of 2019 novel coronavirus disease (COVID-19) infections among hospitalized patients. DESIGN: Study design was a retrospective single-center review of hospital data. SETTING: The study was conducted at the COVID-19 Treatment Center of the Department of Medicine and Therapeutics of the Korle-Bu Teaching hospital in Accra, Ghana. PARTICIPANTS AND STUDY TOOLS: A total of fifty patients with laboratory (rRT-PCR) confirmed COVID-19 infection were involved in the study. A chart review of the medical records of the patients was conducted and the data obtained was documented using a data extraction form. RESULTS: The median age was 53 years and most (36% (18/50)) of the patients were at least 60 years of age. Eighty percent (40/50) of the patients were symptomatic, with cough and difficulty in breathing being the commonest presenting symptoms. The mean duration of hospitalization was 12.3 ± 7.3 days. Hypertension and Diabetes Mellitus were the commonest co-morbidities occurring in 52% (26/50) and 42% (21/50) of patients respectively. Fifty percent of patients developed COVID-19 pneumonia as a complication. The mortality rate was 12% (6/50). CONCLUSION: In this study, SARS-CoV2 infection affected older adults with hypertension and diabetes mellitus being the common comorbidities. Patients with these comorbid conditions should be counselled by their clinicians to strictly observe the COVID-19 prevention protocols to reduce their risk of acquiring the infection. There is a need to pay critical and prompt attention to the management of patients with COVID-19 pneumonia particularly among people with diabetes to improve outcomes. FUNDING: None declared.


Subject(s)
COVID-19/epidemiology , Hospitalization/statistics & numerical data , SARS-CoV-2 , COVID-19/virology , Comorbidity , Cough/epidemiology , Cough/virology , Diabetes Mellitus/epidemiology , Dyspnea/epidemiology , Dyspnea/virology , Female , Ghana/epidemiology , Hospitals, Teaching , Humans , Hypertension/epidemiology , Male , Middle Aged , Retrospective Studies
12.
Ghana Med J ; 54(4 Suppl): 23-32, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1436191

ABSTRACT

OBJECTIVE: This analysis described the clinical features of COVID-19 in the early phase of the pandemic in Ghana. METHODS: Data were extracted from two national COVID-19 treatment centers in Ghana for over 11 weeks(from March to May 2020). Descriptive and inferential statistics were performed. Modified Ordered Logistic and Negative Binomial Regression analysis were applied to establish factors associated with illness severity and Non-communicable Disease (NCDs) counts respectively. All analysis was conducted at the 95% confidence level (p-value ≤ 0.05) using Stata 16. RESULTS: Among the 275 patients, the average age was 40.7±16.4, with a preponderance of males (54.5%). The three commonest symptoms presented were cough (21.3%), headache (15.7%), and sore throat (11.7%). Only 7.6% of the patients had a history of fever. Most patients were asymptomatic (51.65). Approximately 38.9% have an underlying co-morbid NCDs, with Hypertension (32.1%), Diabetes (9.9%), and Asthma (5.2%) being the three commonest. The odds of Moderate/severe (MoS) was significantly higher for those with unknown exposures to similar illness [aOR(95%CI) = 4.27(1.12-10.2)] compared with non-exposure to similar illness. An increased unit of NCD's count significantly increased the odds of COVID-19 MoS illness by 26%[cOR(95%CI) =1.26(1.09-1.84)] and 67% (adjusting for age) [aOR(95%CI)=1.67(1.13-2.49)]. CONCLUSION: The presence of cardiovascular co-morbidities dictated the frequency of reported symptoms and severity of COVID-19 infection in this sample of Ghanaians. Physicians should be aware of the presence of co-morbid NCDs and prepare to manage effectively among COVID-19 patients. FUNDING: None declared.


Subject(s)
COVID-19/epidemiology , Cardiovascular Diseases/epidemiology , Noncommunicable Diseases/epidemiology , SARS-CoV-2 , Severity of Illness Index , Adult , COVID-19/virology , Comorbidity , Cough/epidemiology , Cough/virology , Female , Ghana/epidemiology , Headache/epidemiology , Headache/virology , Humans , Male , Middle Aged , Pharyngitis/epidemiology , Pharyngitis/virology , Regression Analysis
13.
Ghana Med J ; 54(4 Suppl): 16-22, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1436190

ABSTRACT

INTRODUCTION: COVID-19 is a new disease, knowledge on the mode of transmission and clinical features are still evolving, new tests are being developed with inherent challenges regarding interpretation of tests results. There is generally, a gap in knowledge on the virus globally as the pandemic evolves and in Ghana, there is dearth of information and documentation on the clinical characteristics of the virus. With these in mind, we set out to profile the initial cohort of COVID-19 patients who recovered in Ghana. METHODS: We reviewed clinical records of all confirmed cases of COVID-19 who had recovered from the two main treatment centres in Accra, Ghana. Descriptive data analysis was employed and presented in simple and relational tables. Independent t-test and ANOVA were used to determine differences in the mean age of the sexes and the number of days taken for the first and second retesting to be done per selected patient characteristics. RESULTS: Of the 146 records reviewed, 54% were male; mean age of patients was 41.9 ± 17.5 years, nearly half were asymptomatic, with 9% being severely ill. The commonest presenting symptoms were cough (22.6%), headache (13%) and sore throat (11%) while the commonest co-morbidities were hypertension (25.3%), diabetes mellitus (14%) and heart disease (3.4%). CONCLUSION: COVID-19 affected more males than females; nearly half of those infected were asymptomatic. Cough, headache and sore throat were the commonest symptoms and mean duration from case confirmation to full recovery was 19 days. Further research is required as pandemic evolves. FUNDING: None declared.


Subject(s)
Asymptomatic Infections/epidemiology , COVID-19/epidemiology , SARS-CoV-2 , Adult , Age Distribution , Analysis of Variance , COVID-19/virology , Cohort Studies , Cough/epidemiology , Cough/virology , Female , Ghana/epidemiology , Headache/epidemiology , Headache/virology , Humans , Male , Middle Aged , Pharyngitis/epidemiology , Pharyngitis/virology , Sex Distribution
14.
Rev Med Virol ; 31(6): e2288, 2021 11.
Article in English | MEDLINE | ID: covidwho-1384306

ABSTRACT

SARS Coronavirus-2 is one of the most widespread viruses globally during the 21st century, whose severity and ability to cause severe pneumonia and death vary. We performed a comprehensive systematic review of all studies that met our standardised criteria and then extracted data on the age, symptoms, and different treatments of Covid-19 patients and the prognosis of this disease during follow-up. Cases in this study were divided according to severity and death status and meta-analysed separately using raw mean and single proportion methods. We included 171 complete studies including 62,909 confirmed cases of Covid-19, of which 148 studies were meta-analysed. Symptoms clearly emerged in an escalating manner from mild-moderate symptoms, pneumonia, severe-critical to the group of non-survivors. Hypertension (Pooled proportion (PP): 0.48 [95% Confident interval (CI): 0.35-0.61]), diabetes (PP: 0.23 [95% CI: 0.16-0.33]) and smoking (PP: 0.12 [95% CI: 0.03-0.38]) were highest regarding pre-infection comorbidities in the non-survivor group. While acute respiratory distress syndrome (PP: 0.49 [95% CI: 0.29-0.78]), (PP: 0.63 [95% CI: 0.34-0.97]) remained one of the most common complications in the severe and death group respectively. Bilateral ground-glass opacification (PP: 0.68 [95% CI: 0.59-0.75]) was the most visible radiological image. The mortality rates estimated (PP: 0.11 [95% CI: 0.06-0.19]), (PP: 0.03 [95% CI: 0.01-0.05]), and (PP: 0.01 [95% CI: 0-0.3]) in severe-critical, pneumonia and mild-moderate groups respectively. This study can serve as a high evidence guideline for different clinical presentations of Covid-19, graded from mild to severe, and for special forms like pneumonia and death groups.


Subject(s)
COVID-19/pathology , Cough/pathology , Dyspnea/pathology , Fatigue/pathology , Fever/pathology , SARS-CoV-2/pathogenicity , Antiviral Agents/therapeutic use , COVID-19/drug therapy , COVID-19/mortality , COVID-19/virology , Comorbidity , Cough/drug therapy , Cough/mortality , Cough/virology , Diabetes Mellitus/diagnosis , Diabetes Mellitus/physiopathology , Dyspnea/drug therapy , Dyspnea/mortality , Dyspnea/virology , Fatigue/drug therapy , Fatigue/mortality , Fatigue/virology , Fever/drug therapy , Fever/mortality , Fever/virology , Humans , Hypertension/diagnosis , Hypertension/physiopathology , Immunologic Factors/therapeutic use , Prognosis , Respiratory Distress Syndrome/diagnosis , Respiratory Distress Syndrome/physiopathology , Severity of Illness Index , Smoking/physiopathology , Survival Analysis
17.
West J Emerg Med ; 21(4): 790-794, 2020 Jun 29.
Article in English | MEDLINE | ID: covidwho-1383995

ABSTRACT

Emergency physicians are on the front lines of treating patients with highly infectious respiratory diseases. Personal protective equipment is one defense against contamination from droplet and aerosol secretions. Intubation is a procedure that greatly can increase provider's risk of exposure. Utilization of an intubation box has been discussed and recommended on social media platforms. There has been scant literature demonstrating the effectiveness of such devices. This study aimed to determine degree of droplet contamination to the intubator utilizing a novel barrier enclosure with a fluorescent simulated respiratory contagion. This model confirmed both added protection to the providers preforming intubation, and reduction of spread of the droplets when such a device is applied to patient care.


Subject(s)
Aerosols , COVID-19/prevention & control , COVID-19/transmission , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Intubation, Intratracheal/methods , Personal Protective Equipment , SARS-CoV-2/physiology , Biofouling/prevention & control , COVID-19/virology , Cough/virology , Humans , Simulation Training
18.
PLoS One ; 16(8): e0256429, 2021.
Article in English | MEDLINE | ID: covidwho-1367707

ABSTRACT

INTRODUCTION: Coronavirus disease 2019 (COVID-19) has emerged as a global pandemic since its outbreak in Wuhan, China. It is an urgent task to prevent and treat COVID-19 effectively early. In China's experience combating the COVID-19 pandemic, Chinese herbal medicine (CHM) has played an indispensable role. A large number of epidemiological investigations have shown that mild to moderate COVID-19 accounts for the largest proportion of cases. It is of great importance to treat such COVID-19 cases, which can help control epidemic progression. Many trials have shown that CHM combined with conventional therapy in the treatment of mild to moderate COVID-19 was superior to conventional therapy alone. This review was designed to evaluate the add-on effect of CHM in the treatment of mild to moderate COVID-19. METHODS: Eight electronic databases including PubMed, EMBASE, Cochrane Central Register of Controlled Trials, the Clinical Trials.gov website, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Database and China Biology Medicine (CBM) were searched from December 2019 to March 2021 without language restrictions. Two reviewers searched and selected studies, and extracted data according to inclusion and exclusion criteria independently. Cochrane Risk of Bias (ROB) tool was used to assess the methodological quality of the included RCTs. Review Manager 5.3.0 software was used for statistical analysis. RESULTS: Twelve eligible RCTs including 1393 participants were included in this meta-analysis. Our meta-analyses found that lung CT parameters [RR = 1.26, 95% CI (1.15, 1.38), P<0.00001] and the clinical cure rate [RR = 1.26, 95%CI (1.16, 1.38), P<0.00001] of CHM combined with conventional therapy in the treatment of mild to moderate COVID-19 were better than those of conventional therapy. The rate of conversion to severe cases [RR = 0.48, 95%CI (0.32, 0.73), P = 0.0005], TCM symptom score of fever [MD = -0.62, 95%CI (-0.79, -0.45), P<0.00001], cough cases [RR = 1.43, 95%CI (1.16, 1.75), P = 0.0006], TCM symptom score of cough[MD = -1.07, 95%CI (-1.29, -0.85), P<0.00001], TCM symptom score of fatigue[MD = -0.66, 95%CI (-1.05, -0.28), P = 0.0007], and CRP[MD = -5.46, 95%CI (-8.19, -2.72), P<0.0001] of combination therapy was significantly lower than that of conventional therapy. The WBC count was significantly higher than that of conventional therapy[MD = 0.38, 95%CI (0.31, 0.44), P<0.00001]. Our meta-analysis results were robust through sensitivity analysis. CONCLUSION: Chinese herbal medicine combined with conventional therapy may be effective and safe in the treatment of mild to moderate COVID-19. More high-quality RCTs are needed in the future.


Subject(s)
COVID-19/drug therapy , Drugs, Chinese Herbal/adverse effects , Drugs, Chinese Herbal/therapeutic use , COVID-19/diagnostic imaging , COVID-19/etiology , Cough/drug therapy , Cough/virology , Diarrhea/chemically induced , Drugs, Chinese Herbal/chemistry , Fever/drug therapy , Fever/virology , Humans , Lung/diagnostic imaging , Lung/virology , Nausea/chemically induced , Tomography, X-Ray Computed , Treatment Outcome , Vomiting/chemically induced
19.
Sci Rep ; 11(1): 15404, 2021 07 28.
Article in English | MEDLINE | ID: covidwho-1331396

ABSTRACT

This work develops a robust classifier for a COVID-19 pre-screening model from crowdsourced cough sound data. The crowdsourced cough recordings contain a variable number of coughs, with some input sound files more informative than the others. Accurate detection of COVID-19 from the sound datasets requires overcoming two main challenges (i) the variable number of coughs in each recording and (ii) the low number of COVID-positive cases compared to healthy coughs in the data. We use two open datasets of crowdsourced cough recordings and segment each cough recording into non-overlapping coughs. The segmentation enriches the original data without oversampling by splitting the original cough sound files into non-overlapping segments. Splitting the sound files enables us to increase the samples of the minority class (COVID-19) without changing the feature distribution of the COVID-19 samples resulted from applying oversampling techniques. Each cough sound segment is transformed into six image representations for further analyses. We conduct extensive experiments with shallow machine learning, Convolutional Neural Network (CNN), and pre-trained CNN models. The results of our models were compared to other recently published papers that apply machine learning to cough sound data for COVID-19 detection. Our method demonstrated a high performance using an ensemble model on the testing dataset with area under receiver operating characteristics curve = 0.77, precision = 0.80, recall = 0.71, F1 measure = 0.75, and Kappa = 0.53. The results show an improvement in the prediction accuracy of our COVID-19 pre-screening model compared to the other models.


Subject(s)
COVID-19/diagnosis , Cough/classification , COVID-19/epidemiology , Cough/virology , Deep Learning , Humans , Machine Learning , Mass Screening/methods , Neural Networks, Computer , ROC Curve , SARS-CoV-2/isolation & purification , Sensitivity and Specificity , Sound , Sound Spectrography/methods , Tomography, X-Ray Computed/methods
20.
Medwave ; 21(6): e8231, 2021 Jul 05.
Article in Spanish, English | MEDLINE | ID: covidwho-1320619

ABSTRACT

OBJECTIVES: To describe and assess clinical characteristics and factors associated with mortality in adult patients with COVID-19 admitted to a national referral hospital in Peru. METHODS: We conducted a prospective cohort study that included hospitalized patients older than 18 years with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection diagnosis. Patients with a positive rapid serological test on admission but no respiratory symptoms nor compatible images were excluded. We collected the data from clinical records. RESULTS: A total of 813 adults were included, 544 (66.9%) with confirmed COVID-19. The mean age was 61.2 years (standard deviation: 15.0), and 575 (70.5%) were male. The most frequent comorbidities were hypertension (34.1%) and obesity (25.9%). On admission, the most frequent symptoms were dyspnea (82.2%) and cough (53.9%). A total of 114 (14.0%) patients received mechanical ventilation, 38 (4.7%) were admitted to the intensive care unit, and 377 (46.4%) died. The requirement for ventilatory support, greater lung involvement, and inflammatory markers were associated with higher mortality. It was found that for every 10-year age increase, the risk of dying increased 32% (relative risk: 1.32; 95% confidence interval: 1.25 to 1.38). Those who were admitted to the intensive care unit and and were placed on mechanical ventilation had 1.39 (95% confidence interval: 1.13 to 1.69) and 1.97 (95% confidence interval: 1.69 to 2.29) times the risk of dying compared to those who did not, respectively. CONCLUSION: We found a high mortality rate among hospitalized patients associated with older age, higher inflammatory markers, and greater lung involvement.


OBJETIVOS: Describir las características clínicas y evaluar los factores asociados con la mortalidad de los pacientes adultos con la nueva enfermedad causada por coronavirus 2019 (COVID-19) ingresados a un hospital de referencia nacional de Perú. MÉTODOS: Se realizó un estudio de cohorte prospectivo. Se incluyó a pacientes mayores de 18 años hospitalizados con el diagnóstico de infección por coronavirus 2 del síndrome respiratorio agudo severo (SARS-CoV-2). Se excluyó a quienes ingresaron con prueba rápida serológica positiva al ingreso, sin clínica sugestiva ni imágenes compatibles. Los datos se recolectaron a partir de la historia clínica. RESULTADOS: Se incluyó un total de 813 adultos, 544 (66,9%) tuvieron COVID-19 confirmado. La media de la edad fue de 61,2 años (desviación estándar: 15) y 575 (70,5%) fueron de sexo masculino. Las comorbilidades más frecuentes fueron hipertensión arterial (34,1%) y obesidad (25,9%). Los síntomas más frecuentes al ingreso fueron disnea (82,2%) y tos (53,9%). Un total de 114 (14%) pacientes recibieron ventilación mecánica, 38 (4,7%) ingresaron a unidad de cuidados intensivos y 377 (46,4%) fallecieron. Se asociaron a la mortalidad el requerimiento de soporte ventilatorio, el mayor compromiso pulmonar y los marcadores inflamatorios. Encontramos que por cada 10 años que aumentó la edad, el riesgo de morir se incrementó en 32% (riesgo relativo: 1,32; intervalo de confianza 95%: 1,25 a 1,38). Aquellos pacientes que requirieron ingreso a unidad de cuidados intensivos y ventilación mecánica tuvieron 1,39 (intervalo de confianza 95%: 1,13 a 1,69) y 1,97 (intervalo de confianza 95%: 1,69 a 2,29) veces el riesgo de morir, respectivamente. CONCLUSIÓN: La mortalidad encontrada en nuestro estudio fue alta y estuvo asociada a la edad, marcadores inflamatorios y compromiso respiratorio.


Subject(s)
COVID-19/mortality , Hospitalization/statistics & numerical data , Intensive Care Units/statistics & numerical data , Respiration, Artificial/statistics & numerical data , Age Factors , Aged , COVID-19/epidemiology , Cohort Studies , Cough/epidemiology , Cough/virology , Dyspnea/epidemiology , Dyspnea/virology , Female , Hospitals , Humans , Male , Middle Aged , Peru/epidemiology , Prospective Studies , Risk Factors
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