scholarly journals COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany

2020 ◽  
Author(s):  
Siegbert Rieg ◽  
Maja von Cube ◽  
Johannes Kalbhenn ◽  
Stefan Utzolino ◽  
Katharina Pernice ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Medical Center ◽  
Tertiary Care ◽  
Study Entry ◽  
Hospital Death ◽  
Care Model ◽  
Cox Regression Analysis ◽  
Hospitalised Patients

Abstract BackgroundReported mortality of hospitalised COVID-19 patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under optimised care conditions 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 ARDS and 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%) extracorporeal membrane-oxygenation (ECMO) support. According to the multistate model the 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 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 substantial. 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.RegistrationGerman Clinical Trials Register (identifier DRKS00021775), retrospectively registered June 10, 2020.

scholarly journals COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany

2020 ◽  
Author(s):  
Siegbert Rieg ◽  
Maja von Cube ◽  
Johannes Kalbhenn ◽  
Stefan Utzolino ◽  
Katharina Pernice ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Medical Center ◽  
Tertiary Care ◽  
Study Entry ◽  
Hospital Death ◽  
Care Model ◽  
Cox Regression Analysis ◽  
Hospitalised Patients

Background Reported mortality of hospitalised COVID-19 patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under optimised care conditions have not been systematically studied. Methods This 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 ARDS and 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. Results Between 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%) extracorporeal membrane-oxygenation (ECMO) support. According to the multistate model the 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 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. Conclusion In a dynamic care model COVID-19-related in-hospital mortality remained substantial. 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.

scholarly journals COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242127 ◽  
Author(s):  
Siegbert Rieg ◽  
Maja von Cube ◽  
Johannes Kalbhenn ◽  
Stefan Utzolino ◽  
Katharina Pernice ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Tertiary Care ◽  
Study Entry ◽  
Hospital Death ◽  
Care Model ◽  
Cox Regression Analysis ◽  
Hospitalised Patients

Background Reported 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. Methods This 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. Results Between 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. Conclusion In 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.

scholarly journals In-hospital Mortality and Causes of Death in People Diagnosed With HIV in a General Hospital in Shenyang, China: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Cheng Bo Li ◽  
Ying Zhou ◽  
Yu Wang ◽  
Sheng Liu ◽  
Wen Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Medical Care ◽  
Protective Factor ◽  
Cox Regression ◽  
Opportunistic Infections ◽  
Antiviral Treatment ◽  
Public Health Issue ◽  
Hospital Death ◽  
Cox Regression Analysis

Background: Acquired immune deficiency syndrome (AIDS), caused by human immunodeficiency virus (HIV) infection, is a serious public health issue. This study investigated the correlated factors and possible changing trend of in-hospital death in patients diagnosed with HIV in the past decade in our hospital.Methods: We retrospectively collected data of firstly hospitalized patients with HIV in the Department of Infectious Disease in the First Affiliated Hospital of China Medical University from January 1, 2010 to December 31, 2019, and compared various factors that correlated with in-hospital death, including age, sex, opportunistic infections, and antiretroviral therapy (ART) status. Cox regression analysis was used to identify the risk factors for death.Results: In total, 711 patients were recruited for this study, and 62 patients died in the hospital. The in-hospital mortality rate was 8.72%. Tuberculosis (TB), malignancies, and thrombocytopenia were associated with mortality. Antiviral treatment before admission was found to be a protective factor. There was a declining trend in in-hospital mortality from 19.2% in 2010 to 6.3% in 2019 (linear-by-linear association test, p < 0.001), partly due to intensified medical care strategy.Conclusions: Till date, AIDS-defining illnesses remain the major cause of hospital admission and in-hospital mortality. TB and malignancies were correlated risk factors for in-hospital mortality. ART before admission was found to be beneficial, and considering the decreasing rate of in-hospital mortality, the implementation of intensified medical care strategy requires further effort.

scholarly journals Staphylococcus Aureus Bacteriuria as a Predictor of In-Hospital Mortality in Patients with Staphylococcus Aureus Bacteremia. Results of a Retrospective Cohort Study

2020 ◽  
Vol 9 (2) ◽  
pp. 508 ◽  
Author(s):  
Tobias Siegfried Kramer ◽  
Beate Schlosser ◽  
Désirée Gruhl ◽  
Michael Behnke ◽  
Frank Schwab ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Cohort Study ◽  
Hospital Mortality ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Cox Regression ◽  
University Hospital ◽  
Hospital Death ◽  
Cox Regression Analysis

Staphylococcus aureus bloodstream infection (SA-BSI) is an infection with increasing morbidity and mortality. Concomitant Staphylococcus aureus bacteriuria (SABU) frequently occurs in patients with SA-BSI. It is considered as either a sign of exacerbation of SA-BSI or a primary source in terms of urosepsis. The clinical implications are still under investigation. In this study, we investigated the role of SABU in patients with SA-BSI and its effect on the patients’ mortality. We performed a retrospective cohort study that included all patients in our university hospital (Charité Universitätsmedizin Berlin) between 1 January 2014 and 31 March 2017. We included all patients with positive blood cultures for Staphylococcus aureus who had a urine culture 48 h before or after the first positive blood culture. We identified cases while using the microbiology database and collected additional demographic and clinical parameters, retrospectively, from patient files and charts. We conducted univariate analyses and multivariable Cox regression analysis to evaluate the risk factors for in-hospital mortality. 202 patients met the eligibility criteria. Overall, 55 patients (27.5%) died during their hospital stay. Cox regression showed SABU (OR 2.3), Pitt Bacteremia Score (OR 1.2), as well as moderate to severe liver disease (OR 2.1) to be independent risk factors for in-hospital mortality. Our data indicates that SABU in patients with concurrent SA-BSI is a prognostic marker for in-hospital death. Further studies are needed for evaluating implications for therapeutic optimization.

scholarly journals Serum Lactate/Albumin as a Predictor of In-Hospital Mortality in ICU Pancreatitis Patients: an Analysis of the MIMIC-III Database

2021 ◽  
Author(s):  
Peng Bao ◽  
Xiaoli Cui ◽  
Haoliang Shen ◽  
Yiping Wang ◽  
Yang Lu
Keyword(s):  
Acute Pancreatitis ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Hospital Death ◽  
Probability Method ◽  
Complication Rates ◽  
Cox Regression Analysis ◽  
Hospital Deaths ◽  
The Relationship ◽  
Mimic Iii

Abstract Background: Acute pancreatitis (AP) is a common serious illness, and is characterized by rapid deterioration and a high mortality rate. Several biomarkers can evaluate and guide the treatment of acute pancreatitis, but there is currently no consensus on which markers are the most effective, simple, and economical for treating early-onset AP. In this study, we used the MIMIC III database to conduct a retrospective study on the relationship between early lactate/albumin (LAC/ALB), in-hospital mortality, and complication rates in patients with acute pancreatitis in the ICU.Methods: Basic data and indicators of laboratory tests, hospital deaths, and hospitalization days of acute pancreatitis patients were extracted from the database, after which the relationship between LAC/ALB and hospital mortality, ICU hospitalization days, and organ failure were evaluated using a t-test, a rank-sum test, a chi-square test or Fisher's exact probability method, and a Cox proportional hazard model.Results: 894 patients met the requirements and were selected from the MIMIC III database. They were subsequently grouped according to the lower limit ratio of the LAC/ALB normal value of 0.7. The group with LAC/ALB>0.7 showed higher hospital mortality rates, and the Lac, Inr, nitrogen, blood sugar, AKI incidence, Tbil, Sapsii score, and Sofa scores were all higher than the group with LAC/ALB<0.7. A multivariate Cox regression analysis model was used to explore the relationship between LAC/ALB levels and inpatient mortality. After including different adjustment variables, we determined that LAC/ALB is a risk factor for in-hospital death. The results of the subgroup analysis of LAC/ALB levels and mortality of hospitalized patients indicate that higher levels of LAC/ALB are risk factors for in-hospital deaths in patients with acute pancreatitis.

scholarly journals Investigation of subsequent and co-infections associated with SARS-CoV-2 (COVID-19) in hospitalized patients

2020 ◽  
Author(s):  
Matthew P. Crotty ◽  
Ronda Akins ◽  
An Nguyen ◽  
Rania Slika ◽  
Kristen Rahmanzadeh ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Cox Regression ◽  
Hospitalized Patients ◽  
Corticosteroid Administration ◽  
Cox Regression Analysis ◽  
Icu Admission ◽  
Cell Counts ◽  
Increased Risk

AbstractBackgroundSARS-CoV-2 has drastically affected healthcare globally and causes COVID-19, a disease that is associated with substantial morbidity and mortality. We aim to describe rates and pathogens involved in co-infection or subsequent infections and their impact on clinical outcomes among hospitalized patients with COVID-19.MethodsIncidence of and pathogens associated with co-infections, or subsequent infections, were analyzed in a multicenter observational cohort. Clinical outcomes were compared between patients with a bacterial respiratory co-infection (BRC) and those without. A multivariable Cox regression analysis was performed evaluating survival.ResultsA total of 289 patients were included, 48 (16.6%) had any co-infection and 25 (8.7%) had a BRC. No significant differences in comorbidities were observed between patients with co-infection and those without. Compared to those without, patients with a BRC had significantly higher white blood cell counts, lactate dehydrogenase, C-reactive protein, procalcitonin and interleukin-6 levels. ICU admission (84.0 vs 31.8%), mechanical ventilation (72.0 vs 23.9%) and in-hospital mortality (45.0 vs 9.8%) were more common in patients with BRC compared to those without a co-infection. In Cox proportional hazards regression, following adjustment for age, ICU admission, mechanical ventilation, corticosteroid administration, and pre-existing comorbidities, patients with BRC had an increased risk for in-hospital mortality (adjusted HR, 3.37; 95% CI, 1.39 to 8.16; P = 0.007). Subsequent infections were uncommon, with 21 infections occurring in 16 (5.5%) patients.ConclusionsCo-infections are uncommon among hospitalized patients with COVID-19, however, when BRC occurs it is associated with worse clinical outcomes including higher mortality.

scholarly journals Acute Kidney Injury Is Associated With In-hospital Mortality in Older Patients With COVID-19

2020 ◽  
Author(s):  
Qi Yan ◽  
Peiyuan Zuo ◽  
Ling Cheng ◽  
Yuanyuan Li ◽  
Kaixin Song ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Older Patients ◽  
Cox Regression ◽  
Demographic Data ◽  
Tertiary Care ◽  
Kidney Injury ◽  
University Hospital ◽  
Cox Regression Analysis ◽  
Risk Of Death

Abstract Background The epidemic of COVID-19 presents a special threat to older adults. However, information on kidney damage in older patients with COVID-19 is limited. Acute kidney injury (AKI) is common in hospitalized adults and associated with poor prognosis. We sought to explore the association between AKI and mortality in older patients with COVID-19. Methods We conducted a retrospective, observational cohort study in a large tertiary care university hospital in Wuhan, China. All consecutive inpatients older than 65 years with COVID-19 were enrolled in this cohort. Demographic data, laboratory values, comorbidities, treatments, and clinical outcomes were all collected. Data were compared between patients with AKI and without AKI. The association between AKI and mortality was analyzed. Results Of 1764 in-hospital patients, 882 older adult cases were included in this cohort. The median age was 71 years (interquartile range: 68–77), 440 (49.9%) were men. The most presented comorbidity was cardiovascular diseases (58.2%), followed by diabetes (31.4%). Of 882 older patients, 115 (13%) developed AKI and 128 (14.5%) died. Patients with AKI had higher mortality than those without AKI (68 [59.1%] vs 60 [7.8%]; p &lt; .001). Multivariable Cox regression analysis showed that increasing odds of in-hospital mortality are associated with higher interleukin-6 on admission, myocardial injury, and AKI. Conclusions Acute kidney injury is not an uncommon complication in older patients with COVID-19 but is associated with a high risk of death. Physicians should be aware of the risk of AKI in older patients with COVID-19.

scholarly journals Myocardial injury is associated with in-hospital mortality of confirmed or suspected COVID-19 in Wuhan, China: A single center retrospective cohort study

2020 ◽  
Author(s):  
Fan Zhang ◽  
Deyan Yang ◽  
Jing Li ◽  
Peng Gao ◽  
Taibo Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Cardiac Troponin ◽  
Troponin I ◽  
Cox Regression ◽  
Cardiac Injury ◽  
High Sensitivity ◽  
Hospital Death ◽  
Cox Regression Analysis ◽  
D Dimer

AbstractBackgroundSince December 2019, a cluster of coronavirus disease 2019 (COVID-19) occurred in Wuhan, Hubei Province, China and spread rapidly from China to other countries. In-hospital mortality are high in severe cases and cardiac injury characterized by elevated cardiac troponin are common among them. The mechanism of cardiac injury and the relationship between cardiac injury and in-hospital mortality remained unclear. Studies focused on cardiac injury in COVID-19 patients are scarce.ObjectivesTo investigate the association between cardiac injury and in-hospital mortality of patients with confirmed or suspected COVID-19.MethodsDemographic, clinical, treatment, and laboratory data of consecutive confirmed or suspected COVID-19 patients admitted in Wuhan No.1 Hospital from 25th December, 2019 to 15th February, 2020 were extracted from electronic medical records and were retrospectively reviewed and analyzed. Univariate and multivariate Cox regression analysis were used to explore the risk factors associated with in-hospital death.ResultsA total of 110 patients with confirmed (n=80) or suspected (n=30) COVID-19 were screened and 48 patients (female 31.3%, mean age 70.58±13.38 year old) among them with high-sensitivity cardiac troponin I (hs-cTnI) test within 48 hours after admission were included, of whom 17 (17/48, 35.4%) died in hospital while 31 (31/48, 64.6%) were discharged or transferred to other hospital. High-sensitivity cardiac troponin I was elevated in 13 (13/48, 27.1%) patents. Multivariate Cox regression analysis showed pulse oximetry of oxygen saturation (SpO2) on admission (HR 0.704, 95% CI 0.546-0.909, per 1% decrease, p=0.007), elevated hs-cTnI (HR 10.902, 95% 1.279-92.927, p=0.029) and elevated d-dimer (HR 1.103, 95%CI 1.034-1.176, per 1mg/L increase, p=0.003) on admission were independently associated with in-hospital mortality.ConclusionsCardiac injury defined by hs-cTnI elevation and elevated d-dimer on admission were risk factors for in-hospital death, while higher SpO2 could be seen as a protective factor, which could help clinicians to identify patients with adverse outcome at the early stage of COVID-19.

scholarly journals Methylprednisolone was Associated with Reduced in-Hospital Mortality in COVID-19 Patients with Low Lymphocyte Counts: a Multicenter Retrospective Propensity Analysis

2021 ◽  
Author(s):  
Huifang Zhang ◽  
Congliang Miao ◽  
Tao Wang ◽  
Yun Xie ◽  
Xiaolei Teng ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Lymphocyte Count ◽  
Cox Regression ◽  
Survival Curve ◽  
Hospital Death ◽  
Normal Lymphocyte ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Methylprednisolone Treatment ◽  
Novel Coronavirus

Abstract Background: To assess the effect of methylprednisolone on the prognosis of patients with novel coronavirus pneumonia.Methods: Patients with confirmed novel coronavirus pneumonia discharged from Wuhan Third Hospital Guanggu Campus, Shouyi Campus, and Lei Shen Shan Hospital from January 31, 2020, to March 4, 2020, were included. The patients were divided into treatment and control groups according to whether methylprednisolone was used during hospitalization. Propensity score (PS) matching analysis was used to assess in-hospital mortality as the primary outcome and trends in the changes in lymphocytes and the C-reactive protein, creatinine and transaminase levels 7 days after admission (secondary outcomes).Results: A total of 2,062 patients with confirmed novel coronavirus pneumonia were included in this study. Univariate Cox regression analysis suggested that methylprednisolone treatment was associated with increased in-hospital mortality (hazard ratio (HR) 3.70, 95% confidence interval (CI) 2.62-5.23, P<0.01). A total of 624 patients were included after PS matching. The patients were further subdivided into a low lymphocyte count group and a normal lymphocyte count group according to a lymphocyte count cutoff value of 0.9*109/L. Kaplan-Meier survival curve analysis showed that methylprednisolone treatment reduced the risk of in-hospital death in patients with lymphocyte counts less than 0.9×109/L (P=0.022). In contrast, in the normal lymphocyte group, methylprednisolone treatment was not associated with in-hospital mortality (p=0.88).Conclusion: Treatment with methylprednisolone may be associated with reduced in-hospital mortality in coronavirus disease (COVID) patients with low lymphocyte counts.

scholarly journals Comparison of thrombotic events and mortality in patients with community-acquired pneumonia and COVID-19: a multicentre observational study

2021 ◽  
Author(s):  
Roberto Cangemi ◽  
camilla calvieri ◽  
Marco Falcone ◽  
Francesco Cipollone ◽  
Giancarlo Ceccarelli ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Cox Regression ◽  
Thrombotic Event ◽  
Community Acquired Pneumonia ◽  
Observational Cohort Study ◽  
Hospital Death ◽  
Cox Regression Analysis ◽  
Risk Of Death ◽  
Observational Cohort

Background: It is still unclear if patients with community-acquired pneumonia (CAP) and coronavirus disease 2019 (COVID-19) have different rate, typology, and impact of thrombosis on survival. Methods: In this multicentre observational cohort study 1.138 patients, hospitalized for CAP (n=559) or COVID-19 (n=579) from 7 clinical centres in Italy, were included in the study. Consecutive adult patients (age ≥18 years) with confirmed COVID-19 related pneumonia, with or without mechanical ventilation, hospitalized from 1st March 2020 to 30 April 2020, were enrolled. Covid-19 was diagnosed based on the WHO interim guidance. Patients were followed-up until discharge or in-hospital death, registering the occurrence of thrombotic events including ischemic/embolic events. Results: During the in-hospital stay, 11.4% of CAP and 15.5% of COVID-19 patients experienced thrombotic events (p=0.046). In CAP patients all the events were arterial thromboses, while in COVID-19 patients 8.3% were venous and 7.2% arterial thromboses. During the in-hospital follow-up, 3% of CAP patients and 17% of COVID-19 patients died (p<0.001). The highest mortality rate was found among COVID-19 patients with thrombotic events (47.6% vs 13.4% in thrombotic-event free patients; p<0.001). In CAP, 13.8% of patients experiencing thrombotic events died vs. 1.8% of thrombotic event-free ones (p<0.001). A multivariable COX-regression analysis confirmed a higher risk of death in COVID-19 patients with thrombotic events (HR 2.1; 95% CI: 1.4-3.3; p<0.001). Conclusions: Compared with CAP, COVID-19 is characterized by a higher burden of thrombotic events, different thrombosis typology and higher risk of thrombosis-related in-hospital mortality.

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