Journey of a Thai Taxi Driver and Novel Coronavirus

Pongpirul, Wannarat; Pongpirul, Krit; Ratnarathon, Anuttra C.; Prasithsirikul, Wisit

doi:10.1056/nejmc2001621

Cited by 133 publications

(126 citation statements)

References 2 publications

Supporting

Mentioning

119

Contrasting

Unclassified

Order By: Relevance

“…The SARS-CoV-2, taxonomically, is currently part of the species of the SARS-related coronaviruses that belong to the subgenus Sarbecovirus. Together with the subgenuses Embecovirus, Hibecovirus, Merbecovirus, and Nobecovirus, that are part of the genus Betacoronavirus (order Nidovirales; suborder Cornidovirineae; family Coronaviridae; subfamily Coronavirinae) [8][9][10][11][12][13][14].…”

Section: Rationalementioning

confidence: 99%

“…Although only two months have elapsed since the emergence of COVID-19, some studies and case reports have been already published in major international scientific and medical journals, from China and other countries with travel-and non-travel-related cases [7,13,29,30]. Many of these reports have started to answer clinical questions, including evolution and outcomes, as well as potential risk factors, and clinical, laboratory and image findings; however, a systematic review to consolidate what has been learned from each study or reported case is to-date missing.…”

Section: Rationalementioning

confidence: 99%

“…Among the patients, 20.3% (95%CI 10.0-30.6%) who required ICU, 32.8% presenting with ARDS (95%CI 13.7-51.8), 13.0% with acute cardiac injury (95%CI 4.1-21.9%), 7.9% with acute kidney injury (95%CI 1.8-14.0%), 6.2% (95%CI 3.1-9.3%) with shock and 13.9% (95%CI 6.2-21.5%) had fatal outcomes ( Table 6). RNAemia (detection of viral RNA in blood) was reported 96.8% of the all patients (95%CI 94.9-98.7%) ( Table 6) ( Figure S2), and also in nasopharyngeal aspirates (NPA).…”

Section: Imaging Complications and Outcomesmentioning

confidence: 99%

See 2 more Smart Citations

Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis

Rodríguez‐Morales

Cardona-Ospina

Gutiérrez‐Ocampo

et al. 2020

Travel Medicine and Infectious Disease

2,101

124

1,591

View full text Add to dashboard Cite

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 the pooled prevalence and 95% confidence interval (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%, 40.8-74.4%) and dyspnea (45.6%, 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 over 13%. As this virus spreads globally, countries need to urgently prepare human resources, infrastructure and facilities to treat severe COVID-19.

show abstract

Section: Rationalementioning

confidence: 99%

Section: Rationalementioning

confidence: 99%

Section: Imaging Complications and Outcomesmentioning

confidence: 99%

See 1 more Smart Citation

Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis

Rodríguez‐Morales

Cardona-Ospina

Gutiérrez‐Ocampo

et al. 2020

Travel Medicine and Infectious Disease

2,101

124

1,591

View full text Add to dashboard Cite

show abstract

“…Some patients showed atypical symptoms, such as diarrhea and vomiting. However, the clinical phenotype is confounded by the fact that 25.2% patients had at least one other underlying medical condition [13,15,[29][30][31][32]. The overall clinical characteristics of COVID-19 were also influenced by the different phases of this epidemic [12,13,21,29,33].…”

Section: Clinical Phenotype Of Covid-19mentioning

confidence: 99%

COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives

Sun

Wang

et al. 2020

Trends in Molecular Medicine

588

526

View full text Add to dashboard Cite

“…This condition was later confirmed to be the coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Different from normal pathogens, this virus is powerful and has extended rapidly to other Chinese cities and countries, thus leading to the widespread of pneumonia [3][4][5]. The number of COVID-19 cases has sharply increased in China and by 13 times outside China, and the number of affected countries tripled.…”

Section: Introductionmentioning

confidence: 99%

Association between platelet parameters and mortality in coronavirus disease 2019: Retrospective cohort study

et al. 2020

View full text Add to dashboard Cite

Background: Thrombocytopenia has been implicated in patients infected with severe acute respiratory syndrome coronavirus 2, while the association of platelet count and changes with subsequent mortality remains unclear. Methods: The clinical and laboratory data of 383 patients with the definite outcome by March 1, 2020 in the Central Hospital of Wuhan were reviewed. The association between platelet parameters and mortality risk was estimated by utilizing Cox proportional hazard regression models. Results: Among the 383 patients, 334 (87.2%) were discharged and survived, and 49 (12.8%) died. Thrombocytopenia at admission was associated with mortality of almost three times as high as that for those without thrombocytopenia (P < 0.05). Cox regression analyses revealed that platelet count was an independent risk factor associated with in-hospital mortality in a dose-dependent manner. An increment of per 50 × 10 9 /L in platelets was associated with a 40% decrease in mortality (hazard ratio: 0.60, 95%CI: 0.43, 0.84). Dynamic changes of platelets were also closely related to death during hospitalization. Conclusions: Baseline platelet levels and changes were associated with subsequent mortality.

show abstract

Journey of a Thai Taxi Driver and Novel Coronavirus

Cited by 133 publications

References 2 publications

Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis

Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis

COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives

Association between platelet parameters and mortality in coronavirus disease 2019: Retrospective cohort study

Contact Info

Product

Resources

About