scholarly journals Characteristics and Clinical Outcomes of 116,539 Patients Hospitalized with COVID-19—Poland, March–December 2020

Viruses ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1458
Author(s):  
Mariusz Gujski ◽  
Mateusz Jankowski ◽  
Daniel Rabczenko ◽  
Paweł Goryński ◽  
Grzegorz Juszczyk
Keyword(s):  
Metabolic Disease ◽  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Multivariable Analysis ◽  
Hospital Death ◽  
Genitourinary System ◽  
Factors Associated ◽  
Related Risk ◽  
Male Sex ◽  
Age Over 60

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes Coronavirus Disease 2019 (COVID-19). This study aimed to characterize patients hospitalized with COVID-19 in Poland between March and December 2020, as well as to identify factors associated with COVID 19–related risk of in-hospital death. This retrospective analysis was based on data from the hospital discharge reports on COVID-19 patients hospitalized in Poland between March and December 2020. A total of 116,539 discharge reports on patients hospitalized with COVID-19 were analyzed. Among patients with COVID-19, 21,490 (18.4%) died during hospitalization. Patients over 60 years of age (OR = 7.74; 95%CI: 7.37–8.12; p < 0.001), men (OR = 1.42; 95%CI: 1.38–1.47; p < 0.001) as well as those with cardiovascular diseases (OR = 1.51; 95%CI: 1.46–1.56; p < 0.001) or disease of the genitourinary system (OR = 1.39; 95%CI: 1.31–1.47; p < 0.001) had much higher odds of COVID 19–related risk of in-hospital death. The presence of at least one comorbidity more than doubled the COVID 19–related risk of in-hospital death (OR = 2.23; 95%CI: 2.14–2.32; p < 0.01). The following predictors of admission to ICU were found in multivariable analysis: age over 60 years (OR: 2.03; 95%CI: 1.90–2.16), male sex (OR: 1.79; 95%CI: 1.69–1.89), presence of at least one cardiovascular disease (OR: 1.26; 95%CI: 1.19–1.34), presence of at least one endocrine, nutritional and metabolic disease (OR: 1.17; 95%CI: 1.07–1.28).

P0034IDENTIFICATION OF FACTORS ASSOCIATED WITH PROGRESSION, PROGNOSIS AND TOLVAPTAN INDICATION IN POLYCYSTIC KIDNEY DISEASE PATIENTS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Myrto Kostopoulou ◽  
Michaela Louka ◽  
Stavros Fokas ◽  
Eirini Tigka ◽  
Angelos Drakopoulos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Kidney Disease ◽  
Polycystic Kidney Disease ◽  
Multivariable Analysis ◽  
Laboratory Data ◽  
Kidney Volume ◽  
Polycystic Kidney ◽  
Factors Associated ◽  
Affected Parent ◽  
Male Sex

Abstract Background and Aims The identification of possible risk factors for the progression of Autosomal Dominant Polycystic Kidney Disease (ADPKD) is an emerging field especially after the introduction of the first disease-specific treatment. The present study aims to explore the associations between epidemiological, clinical and imagining data in a large cohort of ADPKD patients. Method This study was from a single outpatient clinic following patients with ADPKD. Patients were included in the study if they had a recent Magnetic Resonance Imaging (MRI) for measurement of Total Kidney Volume (TKV), a validated biomarker for disease progression. For all patients, the Mayo Clinic Imagining Category (MCIC) and the respective prediction for End Stage Renal Disease (ESRD) were calculated. Patients eligible for tolvaptan treatment (MCIC 1C, 1D, 1E, age &lt; 55 years old and estimated-glomerular filtration rate (e-GFR) ≥ 25 ml/min) were identified. Characteristics including individual medical history, clinical and laboratory data were examined for possible associations with renal and imagining parameters using linear regression models. Results A total of 158 patients were included. Based on measurements of height-adjusted TKV (ht-TKV) and age, 5% of the patients were classified as 1A, 20% as 1B, 34% as 1C, 25% as 1D and 16% as 1E, MCIC. In multivariable analysis, patient’s age (p = 0.01), male sex (p &lt; 0.001), parent’s age at which ESRD was reached (adjusted for patient age) (p &lt; 0.001) and proteinuria (p = 0.04) were associated with ht-TKV. Parent’s age at ESRD differed significantly between the MCICs of the offspring (mean±(SD)), 70.83 (12.90) in 1A, 63.79 (11.39) in 1B, 57.32 (10.42) in 1C, 51.42 (9.18) in 1D and 47.94 (5.73) years old in 1E, (p &lt; 0.001). Similarly, there were significant differences in the presence and the age of hypertension onset (p =0.004 and p = 0.003, respectively). In 104 patients (50 females, 54 males) who were eligible for tolvaptan treatment age at ADPKD diagnosis, age at hypertension onset and parent’s age reaching at ESRD were all significantly lower (p &lt; 0.001 for all) when compared to non-eligible patients. Finally, factors associated with the prediction score of ESRD (e-GFR 10/ml/min) were hypertension, uric acid and the age at ESRD of the affected parent (p = 0.001, 0.02 and 0.01, respectively). Conclusion The age at which an affected parent had reached ESRD, as heritability estimator, was significantly associated with a worst phenotype, prognosis and tolvaptan indication. Early diagnosis of the disease, hypertension and its early onset, proteinuria and male sex are also possible risk factors for the progression of ADPKD.

scholarly journals The relationship of COVID-19 severity with cardiovascular disease and its traditional risk factors: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Kunihiro Matsushita ◽  
Ning Ding ◽  
Minghao Kou ◽  
Xiao Hu ◽  
Mengkun Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cardiovascular Disease ◽  
Meta Analysis ◽  
Multivariable Analysis ◽  
Renin Angiotensin System ◽  
Regression Analyses ◽  
Male Sex ◽  
Meta Regression ◽  
Traditional Risk Factors

AbstractBackgroundWhether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex.MethodsWe performed a systematic review of studies that explored pre-existing CVD and its traditional risk factors as risk factors of severe COVID-19 (defined as death, acute respiratory distress syndrome, mechanical ventilation, or intensive care unit admission). We searched PubMed and Embase for papers in English with original data (≥10 cases of severe COVID-19). Using random-effects models, we pooled relative risk (RR) estimates and conducted meta-regression analyses.ResultsOf the 661 publications identified in our search, 25 papers met our inclusion criteria, with 76,638 COVID-19 patients including 11,766 severe cases. Older age was consistently associated with severe COVID-19 in all eight eligible studies, with RR >∼5 in >60-65 vs. <50 years. Three studies showed no change in the RR of age after adjusting for covariate(s). In univariate analyses, factors robustly associated with severe COVID-19 were male sex (10 studies; pooled RR=1.73, [95%CI 1.50-2.01]), hypertension (8 studies; 2.87 [2.09-3.93]), diabetes (9 studies; 3.20 [2.26-4.53]), and CVD (10 studies; 4.97 [3.76-6.58]). RR for male sex was likely to be independent of age. For the other three factors, meta-regression analyses suggested confounding by age. Only four studies reported multivariable analysis, but most of them showed adjusted RR ∼2 for hypertension, diabetes, and CVD. No study explored renin-angiotensin system inhibitors as a risk factor for severe COVID-19.ConclusionsDespite the potential for confounding, these results suggest that hypertension, diabetes, and CVD are independently associated with severe COVID-19 and, together with age and male sex, can be used to inform objective decisions on COVID-19 testing, clinical management, and workforce planning.

Seasonal Influenza- Factors Associated with a Severe Clinical Form of the Illness

2016 ◽  
Vol 70 (2) ◽  
pp. 68-74 ◽  
Author(s):  
Marija Cvetanovska ◽  
Zvonko Milenkovik ◽  
Irena Kondova Topuzovska ◽  
Krsto Grozdanovski ◽  
Valerija Kirova Uroshevik ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Seasonal Influenza ◽  
Treatment Options ◽  
Multivariable Analysis ◽  
Medical Intervention ◽  
Severe Form ◽  
Multivariable Logistic Regression Analysis ◽  
Clinical Form ◽  
Factors Associated ◽  
Global Accuracy

Abstract Introduction. The risk factors associated with the progression of a severe clinical form of seasonal influenza are of a particular importance in developing a current and accurate decision in terms of treatment options. Aim. The aim of the study was to identify the specific factors associated with a severe form of seasonal influenza. Method. The study was conducted as a prospective, group comparison at the University Clinic for Infectious Diseases in Skopje, Macedonia, during the period of January 01, 2012, until January 01, 2015. This study analyzed 122 adult patients, who were clinically-confirmed to be infected with seasonal influenza by laboratory analyses and other necessary tests. These patients were grouped into two categories: patients with a mild form of seasonal influenza, and patients with a severe form of seasonal influenza. Furthermore, the demographic, clinical, and biochemical results obtained were analyzed. The variables in the univariable analysis which were significantly associated with a severe form of seasonal influenza were included in the multivariable logistic regression analysis in order to extract and determine the independent predicttors of a severe form of seasonal influenza. Results. The multivariable analysis yielded cardiovascular diseases (p=0.01), dyspnea (p=0.001), tachypneа >20 respiration/ minute (p=0.005), values of LDH greater than 618 U/L (p=0.048) and SAPS 2score (p=0.031) as independent variables which predict the severity of the illness. The area under the ROC curve [0.826 (95% CI)] suggests that the probability of a severe form of influenza was82.6%. The global accuracy for this model to predict a severe form of influenza was 81.1%, with the sensitivity being 88.5%, and the specificity 72.9%. Conclusion. Cardiovascular diseases, dyspnea, tachypnea, elevated levels of LDH and SAPS 2 score are independent predictive indicators for severe influenza. Early identification of these indicators will allow implementation of adequate medical intervention which will in turn reduce mortality rates.

scholarly journals First results of the “Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS)”

Infection ◽  
2020 ◽  
Author(s):  
Carolin E. M. Jakob ◽  
Stefan Borgmann ◽  
Fazilet Duygu ◽  
Uta Behrends ◽  
Martin Hower ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cohort Study ◽  
Kidney Diseases ◽  
Multivariable Analysis ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Clinical Stages ◽  
First Results ◽  
Male Sex ◽  
Disease Stages

Abstract Purpose Knowledge 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. Methods Sociodemographic 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. Results We 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. Conclusion The 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.

scholarly journals Secondary Prevention of Cardiovascular Diseases and Application of Technology for Early Diagnosis

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Sachith Paramie Karunathilake ◽  
Gamage Upeksha Ganegoda
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
High Risk ◽  
Secondary Prevention ◽  
Disease Prediction ◽  
Preventive Healthcare ◽  
Factors Associated ◽  
Risk Patients ◽  
Insight Into

Cardiovascular diseases result in millions of deaths around the globe annually, most of which are avoidable if identified early. Preventive healthcare has a major role in the fight against cardiovascular diseases. Primary, secondary, and tertiary prevention have their own applications along with benefits and drawbacks. This paper aims to elevate the sensitivity of “secondary prevention of cardiovascular diseases.” Firstly, it discusses common types of cardiovascular diseases around the globe and their causes. Secondly, it analyzes different risk factors associated with cardiovascular diseases and then discusses incoming technological trends in cardiovascular disease prediction and finally provides an insight into the importance of secondary prevention of cardiovascular diseases and commonly prescribed interventions for high risk patients.

scholarly journals Development of a predictive model for mortality in hospitalized patients with COVID-19

2021 ◽  
pp. 1-33
Author(s):  
Yuanyuan Niu ◽  
Zan Zhan ◽  
Jianfeng Li ◽  
Wei Shui ◽  
Changfeng Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Early Identification ◽  
Good Accuracy ◽  
Virus Disease ◽  
Fatal Outcome ◽  
Multivariable Analysis ◽  
Hospital Death ◽  
Factors Associated ◽  
Logistic Analysis ◽  
Failure Assessment

Abstract Introduction: Early identification of patients with novel corona virus disease 2019 (COVID-19) who may be at high mortality risk is of great importance. Methods: In this retrospective study, we included all patients with COVID-19 at Huanggang Central Hospital from January 23 to March 5, 2020. Data on clinical characteristics and outcomes were compared between survivors and non-survivors. Univariable and multivariable logistic regression were used to explore risk factors associated with in-hospital death. A nomogram was established based on the risk factors selected by multivariable analysis. Results: A total of 150 patients were enrolled, including 31 non-survivors and 119 survivors. The multivariable logistic analysis indicated that increasing the odds of in-hospital death associated with higher Sequential Organ Failure Assessment score (OR, 3.077; 95% CI: 1.848–5.122; P < 0.001), diabetes (OR, 10.474; 95% CI: 1.554–70.617; P = 0.016), and lactate dehydrogenase greater than 245 U/L (OR, 13.169; 95% CI: 2.934–59.105; P = 0.001) on admission. A nomogram was established based on the results of the multivariable analysis. The AUC of the nomogram was 0.970 (95% CI: 0.947–0.992), showing good accuracy in predicting the risk of in-hospital death. Conclusions: This finding would facilitate the early identification of patients with COVID-19 who have a high-risk for fatal outcome.

scholarly journals Trends in hospitalization and factors associated with in-hospital death among pediatric admissions with implantable cardioverter defibrillators

2021 ◽  
Author(s):  
Amna Qasim ◽  
Tam Dan Pham ◽  
Jeffrey Kim ◽  
Santiago Valdes ◽  
Taylor Howard ◽  
...  
Keyword(s):  
Heart Failure ◽  
Hospital Mortality ◽  
Multivariable Analysis ◽  
Diagnostic Category ◽  
Patient Characteristics ◽  
Hospital Death ◽  
Implantable Cardioverter Defibrillators ◽  
Factors Associated ◽  
Admission Rates ◽  
Hospital Deaths

Background: As pediatric implantable cardioverter defibrillator (ICD) utilization increases, hospital admission rates will increase. Data regarding hospitalizations among pediatric patients with ICDs is lacking. In addition, hospital mortality rates are unknown. This study aimed to evaluate 1) trends in hospitalization rates of admissions over 20 years, 2) hospital mortality, and 3) factors associated with hospital mortality among pediatric admissions with ICDs. Methods: The Kids’ Inpatient Database (2000-2016) was used to identify all hospitalizations with an existing ICD 20 years of age. ICD9/10 codes were used to stratify admissions by underlying diagnostic category as: 1) congenital heart disease (CHD), 2) primary arrhythmia, 3) primary cardiomyopathy, or 4) other. Trends were analyzed using linear regression. Hospital and patient characteristics among hospital deaths were compared to those surviving to discharge using mixed multivariable logistic regression, accounting for hospital clustering. Results: Of 42,570,716 hospitalizations, 4165 were admitted <21 years with an ICD. ICD admissions increased four-fold (p = 0.002) between 2000-2016. Hospital death occurred in 54 (1.3%). In multivariable analysis, cardiomyopathy (OR 3.5, 95%CI 1.1–11.2, p=0.04) and CHD (OR 4.8, 95%CI 1.5–15.6, p=0.01) were significantly associated with mortality. In further exploratory multivariable analysis incorporating a coexisting diagnosis of heart failure, only the presence of heart failure remained associated with mortality (OR 8.6, 95%CI 3.7-20.0, p<0.0001). Conclusions: Pediatric ICD hospitalization are increasing over time and hospital mortality is low (1.3%). Hospital mortality is associated with cardiomyopathy or CHD; however, the underlying driver for in-hospital death may be heart failure.

scholarly journals Polymorphisms of the genes ABCG2, SLC22A12 and XDH and their relation with hyperuricemia and hypercholesterolemia in Mexican young adults

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 217
Author(s):  
Juan Manuel Vargas-Morales ◽  
Martha Guevara-Cruz ◽  
Celia Aradillas-García ◽  
Lilia G. Noriega ◽  
Armando Tovar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Genetic Polymorphisms ◽  
Biochemical Parameters ◽  
Pathological Condition ◽  
Predisposing Factors ◽  
Dominant Model ◽  
Factors Associated ◽  
Male Sex

Background: Hyperuricemia is a pathological condition associated with risk factors of cardiovascular disease. In this study, three genetic polymorphisms were genotyped as predisposing factors of hyperuricemia. Methods: A total of 860 Mexicans between 18 and 25 years of age were genotyped for the ABCG2 (rs2231142), SLC22A12 (rs476037), and XDH (rs1042039) polymorphisms, as predisposing factors of hyperuricemia. Biochemical parameters were measured by spectrophotometry, while genetic polymorphisms were analyzed by real-time PCR. An analysis of the risk of hyperuricemia in relation to the variables studied was carried out using a logistic regression. Results: Male sex, being overweight or obese, having hypercholesterolemia or having hypertriglyceridemia were factors associated with hyperuricemia (p ≤ 0.05). The ABCG2 polymorphism was associated with hyperuricemia (OR = 2.43, 95% CI: 1.41-4.17, p = 0.001) and hypercholesterolemia (OR = 4.89, 95% CI: 1.54-15.48, p = 0.003), employing a dominant model, but only in male participants. Conclusions: The ABCG2 (rs2231142) polymorphism increases the risk of hyperuricemia and hypercholesterolemia in young Mexican males.

Factors associated with development and mortality of pulmonary hypertension in systemic lupus erythematosus patients

Lupus ◽  
2018 ◽  
Vol 27 (11) ◽  
pp. 1769-1777 ◽  
Author(s):  
J S Kim ◽  
D Kim ◽  
Y B Joo ◽  
S Won ◽  
J Lee ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cardiovascular Disease ◽  
Pulmonary Hypertension ◽  
Lupus Erythematosus ◽  
Multivariable Analysis ◽  
Systemic Lupus ◽  
Factors Associated ◽  
Tertiary Center ◽  
A Prospective Study ◽  
Significant Factors

Objectives This study aims to identify the factors associated with the development and mortality of pulmonary hypertension (PH) in systemic lupus erythematosus (SLE) patients. Methods We conducted a prospective study of SLE patients in a single tertiary center. PH was defined as a systolic pulmonary arterial pressure ≥30 mmHg on transthoracic echocardiography. We assessed potential associated factors contributing to the development and mortality of PH in SLE patients. Results Of 1110 patients with SLE, 48 patients were identified to have PH. Multivariable analysis indicated that pleuritis or pericarditis (odds ratio (OR) = 4.62), anti-RNP antibody (OR = 2.42), interstitial lung disease (ILD) (OR = 8.34) and cerebro-cardiovascular disease (OR = 13.37) were independently associated with the development of PH in SLE. Subgroup analysis among patients with PH demonstrated that there were no statistically significant factors associated with PH mortality in SLE. Conclusions The prevalence of PH was 4.3% in our cohort. There were significant associations with pleuritis or pericarditis, anti-RNP antibody, ILD, and cerebro-cardiovascular disease in SLE, which may contribute to the development of PH. However, there were no statistically significant factors associated with PH mortality in SLE.

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.

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