scholarly journals The Prevalence of Acute Respiratory Distress Syndrome (ARDS) and Outcomes in Hospitalized Patients with COVID-19—A Study Based on Data from the Polish National Hospital Register

Viruses ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 76
Author(s):  
Mariusz Gujski ◽  
Mateusz Jankowski ◽  
Daniel Rabczenko ◽  
Paweł Goryński ◽  
Grzegorz Juszczyk
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Cardiovascular Diseases ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Secondary Analysis ◽  
Epidemiological Data ◽  
Hospital Death ◽  
National Hospital ◽  
Male Sex

Acute respiratory distress syndrome (ARDS) is a serious complication of COVID-19. This study aimed to evaluate the prevalence of ARDS among patients hospitalized with COVID-19 in Poland as well as to characterize clinical outcomes in patients hospitalized with COVID-19-associated ARDS. This is a retrospective, secondary analysis of epidemiological data from 116,539 discharge reports on patients hospitalized with COVID-19 in Poland between March and December 2020. The overall prevalence of ARDS was 3.6%, respectively 2.9% among females, and 4.4% among males (p < 0.001). Of the 4237 patients hospitalized with COVID-19-associated ARDS, 3764 deaths were reported (88.8%). Participants aged 60 years and over had more than three times higher odds of COVID-19-associated ARDS. Men had higher odds of COVID-19-associated ARDS than women (OR = 1.55; 95% CI: 1.45–1.65; p < 0.001). Patients with COVID-19 and diabetes had higher odds of COVID-19-associated ARDS (OR = 1.16; 95% CI: 1.03–1.30; p = 0.01). Among patients with COVID-19-associated ARDS, older age, male sex (OR = 1.27; 95% CI: 1.03–1.56; p = 0.02), and presence of cardiovascular diseases (OR = 1.26; 95% CI: 1.00–1.59; p = 0.048) were significantly associated with the risk of in-hospital death. Among patients hospitalized with COVID-19 in Poland, the prevalence of ARDS was relatively low, but the in-hospital mortality rate in patients with COVID-19-associated ARDS was higher compared to other EU countries.

scholarly journals Key factors leading to fatal outcomes in COVID-19 patients with cardiac injury

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yiyu He ◽  
Xiaoxin Zheng ◽  
Xiaoyan Li ◽  
Xuejun Jiang
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
High Risk ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Troponin I ◽  
Cardiac Injury ◽  
Advanced Age ◽  
Hospital Death ◽  
Key Factors

AbstractCardiac injury among patients with COVID-19 has been reported and is associated with a high risk of mortality, but cardiac injury may not be the leading factor related to death. The factors related to poor prognosis among COVID-19 patients with myocardial injury are still unclear. This study aimed to explore the potential key factors leading to in-hospital death among COVID-19 patients with cardiac injury. This retrospective single-center study was conducted at Renmin Hospital of Wuhan University, from January 20, 2020 to April 10, 2020, in Wuhan, China. All inpatients with confirmed COVID-19 (≥ 18 years old) and cardiac injury who had died or were discharged by April 10, 2020 were included. Demographic data and clinical and laboratory findings were collected and compared between survivors and nonsurvivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with mortality in COVID-19 patients with cardiac injury. A total of 173 COVID-19 patients with cardiac injury were included in this study, 86 were discharged and 87 died in the hospital. Multivariable regression showed increased odds of in-hospital death were associated with advanced age (odds ratio 1.12, 95% CI 1.05–1.18, per year increase; p < 0.001), coagulopathy (2.54, 1.26–5.12; p = 0·009), acute respiratory distress syndrome (16.56, 6.66–41.2; p < 0.001), and elevated hypersensitive troponin I (4.54, 1.79–11.48; p = 0.001). A high risk of in-hospital death was observed among COVID-19 patients with cardiac injury in this study. The factors related to death include advanced age, coagulopathy, acute respiratory distress syndrome and elevated levels of hypersensitive troponin I.

scholarly journals Predictive model for acute respiratory distress syndrome events in ICU patients in China using machine learning algorithms: a secondary analysis of a cohort study

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Xian-Fei Ding ◽  
Jin-Bo Li ◽  
Huo-Yan Liang ◽  
Zong-Yu Wang ◽  
Ting-Ting Jiao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Respiratory Distress Syndrome ◽  
Cohort Study ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
External Validation ◽  
Secondary Analysis ◽  
Machine Learning Algorithms ◽  
Chinese Patients

Abstract Background To develop a machine learning model for predicting acute respiratory distress syndrome (ARDS) events through commonly available parameters, including baseline characteristics and clinical and laboratory parameters. Methods A secondary analysis of a multi-centre prospective observational cohort study from five hospitals in Beijing, China, was conducted from January 1, 2011, to August 31, 2014. A total of 296 patients at risk for developing ARDS admitted to medical intensive care units (ICUs) were included. We applied a random forest approach to identify the best set of predictors out of 42 variables measured on day 1 of admission. Results All patients were randomly divided into training (80%) and testing (20%) sets. Additionally, these patients were followed daily and assessed according to the Berlin definition. The model obtained an average area under the receiver operating characteristic (ROC) curve (AUC) of 0.82 and yielded a predictive accuracy of 83%. For the first time, four new biomarkers were included in the model: decreased minimum haematocrit, glucose, and sodium and increased minimum white blood cell (WBC) count. Conclusions This newly established machine learning-based model shows good predictive ability in Chinese patients with ARDS. External validation studies are necessary to confirm the generalisability of our approach across populations and treatment practices.

scholarly journals Comorbidities as Risk Factors for Mortality in COVID-19 Acute Respiratory Distress Syndrome Adult Patients: A Single-Center Retrospective Study

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Putra Kurnia Nugraha ◽  
Edward Kusuma ◽  
Soni Sunarso Sulistiawan ◽  
Teuku Aswin Husain
Keyword(s):  
Risk Factors ◽  
Acute Respiratory Distress Syndrome ◽  
Chronic Disease ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Hospital Death ◽  
P Value ◽  
Chronic Hypertension ◽  
Single Center

Background: Geriatric, obesity, and chronic disease are classified as risk factors for adverse outcomes of coronavirus disease 2019 (COVID-19). Studies regarding the importance of these comorbidities in COVID-19 with severe complications such as acute respiratory distress syndrome (ARDS) are scarce. This study aims to analyze age, obesity, and chronic disease comorbidities as risk factors for 28-days mortality in COVID-19 patients with ARDS. Methods: A retrospective, single-center study was conducted in Dr. Soetomo General Hospital, Surabaya, Indonesia between July-October 2020. We included all adult inpatients (≥18 years old) of confirmed COVID-19 with ARDS. Demographic, comorbidities, initial PaO2/FiO2 ratio, time of discharge or death were obtained from medical records and compared the ARDS severity between survivors and non-survivors. The univariate and multivariate logistic regression methods were used to identify risk factors associated with in-hospital death. Result: Among 102 patients of COVID-19 with ARDS, the median age is 52 years. Most of them are within 50 – 59 age categories. The median hospital length of stay (LOS) for survivor is 22 (15.7 – 26) days and 9 (4.25 – 14.4) days for non-survivor. The 28-days mortality rate is 48 (47.1%) patients. Age > 65 years old (HR= 2.7, 95% CI 1.39 – 5.44, p value= 0.004), obesity (HR= 2.2, 95% CI 1.16 – 4.51, p value= 0.016), and chronic hypertension (HR= 1.98, 95% CI 1.11 – 3.52, p value= 0.02) are the independent risk factors for 28-days mortality in COVID-19 with ARDS. Conclusion: Geriatric, obesity, and chronic hypertension comorbidities are the risk factors for mortality of COVID-19 with ARDS complications.

Sign in / Sign up

Export Citation Format

Share Document