ArticleInfection2021
First results of the "Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS)".
Article in Infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.
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Who cites it
50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- The use of statins was associated with reduced COVID-19 mortality: a systematic review and meta-analysis.Annals of medicine · 2021 · on this mapPooled it
- Statins and clinical outcomes with COVID-19: Meta-analyses of observational studies.Diabetes & metabolism · 2021 · on this mapPooled it
- Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?PloS one · 2021Pooled it
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- Validation of the SACOV-19 score for identifying patients at risk of complicated or more severe COVID-19: a prospective study.Infection · 2023Article
- Utilization of anonymization techniques to create an external control arm for clinical trial data.BMC medical research methodology · 2023Observational
- Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways.Health care management science · 2023Article
- Specialized palliative care for hospitalized patients with SARS-CoV-2 infection: an analysis of the LEOSS registry.Infection · 2023Article
- Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts.BMC medical research methodology · 2023Observational
- Age and Comorbidity Burden of Patients Critically Ill with COVID-19 Affect Both Access to and Outcome of Ventilation Therapy in Intensive Care Units.Journal of clinical medicine · 2023Article
- Disease severity in hospitalized COVID-19 patients: comparing routine surveillance with cohort data from the LEOSS study in 2020 in Germany.BMC infectious diseases · 2023Article
- Article
- [Development and validation of potential structure indicators for clinical infectious disease (ID) care in German hospitals during the COVID-19 pandemic].Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen · 2023Review
- Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients.Scientific data · 2022Article
- Common data model for COVID-19 datasets.Bioinformatics (Oxford, England) · 2022Article
- Invasiveness of Ventilation Therapy Is Associated to Prevalence of Secondary Bacterial and Fungal Infections in Critically Ill COVID-19 Patients.Journal of clinical medicine · 2022Article
- The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics.European journal of epidemiology · 2022Review
- COVID-19 outcomes in hospitalized Parkinson's disease patients in two pandemic waves in 2020: a nationwide cross-sectional study from Germany.Neurological research and practice · 2022Article
- Harmonization and standardization of data for a pan-European cohort on SARS- CoV-2 pandemic.NPJ digital medicine · 2022Article
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Authors and funding
35 authors at 20 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeKnowledge regarding patients' clinical condition at severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection is sparse. Data in the international, multicenter Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS) cohort study may enhance the understanding of COVID-19.
methodsSociodemographic and clinical characteristics of SARS-CoV-2-infected patients, enrolled in the LEOSS cohort study between March 16, 2020, and May 14, 2020, were analyzed. Associations between baseline characteristics and clinical stages at diagnosis (uncomplicated vs. complicated) were assessed using logistic regression models.
resultsWe included 2155 patients, 59.7% (1,287/2,155) were male; the most common age category was 66-85 years (39.6%; 500/2,155). The primary COVID-19 diagnosis was made in 35.0% (755/2,155) during complicated clinical stages. A significant univariate association between age; sex; body mass index; smoking; diabetes; cardiovascular, pulmonary, neurological, and kidney diseases; ACE inhibitor therapy; statin intake and an increased risk for complicated clinical stages of COVID-19 at diagnosis was found. Multivariable analysis revealed that advanced age [46-65 years: adjusted odds ratio (aOR): 1.73, 95% CI 1.25-2.42, p = 0.001; 66-85 years: aOR 1.93, 95% CI 1.36-2.74, p < 0.001; > 85 years: aOR 2.38, 95% CI 1.49-3.81, p < 0.001 vs. individuals aged 26-45 years], male sex (aOR 1.23, 95% CI 1.01-1.50, p = 0.040), cardiovascular disease (aOR 1.37, 95% CI 1.09-1.72, p = 0.007), and diabetes (aOR 1.33, 95% CI 1.04-1.69, p = 0.023) were associated with complicated stages of COVID-19 at diagnosis.
conclusionThe LEOSS cohort identified age, cardiovascular disease, diabetes and male sex as risk factors for complicated disease stages at SARS-CoV-2 diagnosis, thus confirming previous data. Further data regarding outcomes of the natural course of COVID-19 and the influence of treatment are required.
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