Corpus overview


MeSH Disease

Human Phenotype



There are no seroprevalence terms in the subcorpus

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    Mortality Data in Mechanically Ventilated COVID-19 patients admitted to ICU: A Retrospective Study in Brooklyn

    Authors: Ravi Karan Patti; Claudia De Araujo Duarte; Nishil Dalsania; Rajat Thawani; Ankur Sinha; Bruno Augusto De Brito Gomes; Michael Silver; Chanaka Seneviratne; Navjot Somal; Yihak Kupfer

    doi:10.21203/ Date: 2020-08-06 Source: ResearchSquare

    Background: High mortality rates are predominant even in COVID-19 patients requiring minimal supportive therapy, with a short-coming of data on COVID-19 patients requiring mechanical ventilation.Objectives/Design: We performed a single-center, retrospective, cohort study at a tertiary care, community-based teaching hospital with patient who required invasive mechanical ventilatory support and were COVID-19 positive. All patients were treated according to the ARDSnet protocol. The primary outcome was overall mortality, and secondary outcome was successful extubation.Results: A total of 72 COVID-19 positive intubated patients were included. Twenty-six (66.6%) patients died within the first 15 days of hospital admission; thirty-eight (52.7%) died within 28 days, and thirty-nine (54.2%) died within 29 days. A total of 22 patients (30.5%) were successfully extubated. 15 patients (20.8%) who required reintubation or could not be extubated further underwent tracheostomy.Conclusions: Mortality of critically ill COVID-19 patients requiring mechanical ventilatory support is high, our observed mortality rate (54.2%) was significantly lower than currently published reports. We believe our rate to be a consequence of early intubation in conjunction with adherence to ARDSnet protocol. We also observed patients with hyperlipidemia MESHD hyperlipidemia HP, higher CRP, renal failure, or those requiring vasopressor use had worse outcomes.

    Association of hyperlipidemia MESHD hyperlipidemia HP and statin use with severity of COVID-19

    Authors: Wilnard YT Tan; Barnaby E Young; David Chien Lye; Daniel EK Chew; Rinkoo Dalan

    doi:10.21203/ Date: 2020-07-03 Source: ResearchSquare

    Background and Aims: We aim to study the association of hyperlipidemia and statin use with COVID-19 severity.Methods: We analysed a retrospective cohort of 717 patients admitted to a tertiary centre in Singapore for COVID-19 infection MESHD. Clinical outcomes of interest were oxygen saturation ≤94% requiring supplemental oxygen, intensive-care unit (ICU) admission , invasive mechanical-ventilation and death MESHD. Logistic regression models were used to study the  association between hyperlipidemia MESHD hyperlipidemia HP and clinical outcomes adjusted for age TRANS, gender TRANS and ethnicity.  Statin treatment effect was determined , in a nested case-control design, through logistic treatment models with 1:3 propensity matching for age TRANS, gender TRANS and ethnicity. All statistical tests were two-sided, and statistical significance was taken as p < 0.05.Results: One hundred fifty-six (21.8%) patients had hyperlipidemia MESHD hyperlipidemia HP and 97% were on statins. There were no significant associations between hyperlipidemia MESHD hyperlipidemia HP and clinical outcomes. Logistic treatment models showed a lower chance of ICU admission for statin users when compared to non-statin users (ATET: b-0.12(-0.23,-0.01); p=0.028). There were no other significant differences in other outcomes.Conclusion: Treated hyperlipidemia MESHD hyperlipidemia HP was not an independent risk factor for severe COVID-19. Statin use independently associated with lower ICU admission. This supports current practice to continue prescription of statins in COVID-19 patients.

    Impact of COVID-19 on Neurological Manifestations: An Overview of Stroke MESHD Stroke HP Presentation in Pandemic.

    Authors: Nida Fatima; Maher Saqqur; Ashfaq Shauib

    doi:10.21203/ Date: 2020-06-18 Source: ResearchSquare

    Introduction: Corona virus disease MESHD 2019 (COVID-19) pandemic has become a globally challenging issue after its emergence in December 2019 from Wuhan, China. Despite its common presentation as respiratory distress HP, patients with COVID-19 have also shown neurological manifestation especially stroke MESHD stroke HP. Therefore, the authors sought to determine the etiology, underlying risk factors, and outcomes among patients with COVID-19 presenting with stroke MESHD stroke HP. Methods: We conducted a systematic review of the electronic database (PubMed, Google Scholar, Scopus, Medline, EMBASE, and Cochrane library) using different MeSH terms from January 2000 to June 2020. Results: A total of 39 patients with stroke MESHD stroke HP from 6 studies were included. The mean age TRANS of our included patients was 61.4±14.2 years. Majority of the patients (92.3%) with COVID-19 had ischemic stroke HP stroke MESHD, 5.1% had hemorrhagic stroke MESHD stroke HP, and 2.6% had cerebral venous thrombosis HP venous thrombosis MESHD at the time of initial clinical presentation. Almost all of the patients presented had underlying risk factors predisposing to stroke MESHD stroke HP which included, diabetes mellitus MESHD diabetes mellitus HP, hyperlipidemia MESHD hyperlipidemia HP, hypertension MESHD hypertension HP, and previous history of cerebrovascular disease MESHD. 51.2% of the included patients infected with COVID-19 with stroke MESHD stroke HP died, while remaining patients were either discharged home or transferred to a rehabilitation unit.  Conclusion: Exploring the neurological manifestation in terms of stroke MESHD stroke HP among patients with COVID-19 is a step towards better understanding of the virus, preventing further spread, and treating the patients affected by this pandemic.

    Development and Validation of a Nomogram to Predict Deteriorating Trajectory in Patients with COVID-19 Infection MESHD: A Population-Based Prospective Study

    Authors: Wei Chen; Menglin Zhu; Jian Li; Cuiping Pan; Demian Zhao; Yuting Jin; Manxiu Li; Shun Wu; Yaojun Feng; Tiejun Wang

    doi:10.21203/ Date: 2020-05-21 Source: ResearchSquare

    Background Most of the patients with COVID-19 infection MESHD are mild to moderate initially. However, there is no effective prediction for the patients to develop into severe or extremely severe. This study aims to develop an effective clinical prediction model.Methods A single-center, retrospective, observational study conducted. A nomogram was conducted based on the results of multivariate logistic regression analysis.  Results A total of 483 patients diagnosed mild to moderate were included, among these patients 62 developed severe or extremely critical illness MESHD. Seven variables including hyperlipidemia MESHD hyperlipidemia HP, vomiting MESHD vomiting HP, diarrhea MESHD diarrhea HP, lymphocyte, imaging and mentality were associated with deteriorating trajectory. The ROC curve showed that model was robust, for which the area under the curve of the training set and the validation set are 0.873 and 0.813.Conclusions For patients with mild to moderate COVID-19 infection MESHD, nomogram score can effectively predict the possibility of patients developing into severe or extremely critical.

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MeSH Disease
Human Phenotype

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