Observational studyPloS one2020
COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany.
Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 5 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 5 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Temporary mechanical circulatory support for COVID-19 patients: A systematic review of literature.Artificial organs · 2022Pooled it
- COVID-19 vaccine acceptance among health care workers in Africa: A systematic review and meta-analysis.PloS one · 2022Pooled it
- Factors associated with mortality in patients with COVID-19 admitted to intensive care: a systematic review and meta-analysis.Anaesthesia · 2021Pooled it
- Prevalence and outcomes of co-infection and superinfection with SARS-CoV-2 and other pathogens: A systematic review and meta-analysis.PloS one · 2021Pooled it
- Intra-Household and Close-Contact SARS-CoV-2 Transmission Among Children - a Systematic Review.Frontiers in pediatrics · 2021Pooled it
- Casirivimab and Imdevimab for the Treatment of Hospitalized Patients With COVID-19.The Journal of infectious diseases · 2022Trial
- A mixture cure modeling framework for survival analysis of hospitalized COVID-19 patients: implications for hospital resource management.BMC medical informatics and decision making · 2026Article
- A Case-Control Study of Factor V Leiden G1691A and MTHFR A1298C Polymorphisms and Clinical Outcomes in Patients With COVID-19.Immunity, inflammation and disease · 2026Article
- Nucleated red blood cells as a prognostic marker for mortality in patients with SARS-CoV-2-induced ARDS: an observational study.Journal of anesthesia, analgesia and critical care · 2024Article
- Article
- Exploring heterogeneity in reported venous thromboembolism risk in COVID-19 and comparison to other viral pneumonias: a systematic review and meta-regression.Research and practice in thrombosis and haemostasis · 2023Article
- Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19.Lifetime data analysis · 2023Article
- [Forecasting models to guide intensive care COVID-19 capacities in Germany].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023Article
- Intensive Care and Organ Support Related Mortality in Patients With COVID-19: A Systematic Review and Meta-Analysis.Critical care explorations · 2023Review
- Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia.BMC infectious diseases · 2022Article
- Review
- Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis.Pathogens (Basel, Switzerland) · 2022Review
- Proteomic landscape of SARS-CoV-2- and MERS-CoV-infected primary human renal epithelial cells.Life science alliance · 2022Article
- Pulmonary embolism severity and in-hospital mortality: An international comparative study between COVID-19 and non-COVID patients.European journal of internal medicine · 2022Article
- Association between multimorbidity and mortality in a cohort of patients admitted to hospital with COVID-19 in Scotland.Journal of the Royal Society of Medicine · 2022Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReported mortality of hospitalised Coronavirus Disease-2019 (COVID-19) patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under state of the art care have not been systematically studied.
methodsThis retrospective observational monocenter cohort study was performed after implementation of a non-restricted, dynamic tertiary care model at the University Medical Center Freiburg, an experienced acute respiratory distress syndrome (ARDS) and extracorporeal membrane-oxygenation (ECMO) referral center. All hospitalised patients with PCR-confirmed SARS-CoV-2 infection were included. The primary endpoint was in-hospital mortality, secondary endpoints included major complications and modes of death. A multistate analysis and a Cox regression analysis for competing risk models were performed. Modes of death were determined by two independent reviewers.
resultsBetween February 25, and May 8, 213 patients were included in the analysis. The median age was 65 years, 129 patients (61%) were male. 70 patients (33%) were admitted to the intensive care unit (ICU), of which 57 patients (81%) received mechanical ventilation and 23 patients (33%) ECMO support. Using multistate methodology, the estimated probability to die within 90 days after COVID-19 onset was 24% in the whole cohort. If the levels of care at time of study entry were accounted for, the probabilities to die were 16% if the patient was initially on a regular ward, 47% if in the intensive care unit (ICU) and 57% if mechanical ventilation was required at study entry. Age ≥65 years and male sex were predictors for in-hospital death. Predominant complications-as judged by two independent reviewers-determining modes of death were multi-organ failure, septic shock and thromboembolic and hemorrhagic complications.
conclusionIn a dynamic care model COVID-19-related in-hospital mortality remained very high. In the absence of potent antiviral agents, strategies to alleviate or prevent the identified complications should be investigated. In this context, multistate analyses enable comparison of models-of-care and treatment strategies and allow estimation and allocation of health care resources.
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