scholarly journals Clinical Characteristics and Risk Factors for Fatality and Severity in Patients with Coronavirus Disease in Korea: A Nationwide Population-Based Retrospective Study Using the Korean Health Insurance Review and Assessment Service (HIRA) Database

2020 ◽  
Vol 17 (22) ◽  
pp. 8559
Author(s):  
Seung-Geun Lee ◽  
Geun U. Park ◽  
Yeo Rae Moon ◽  
Kihoon Sung
Keyword(s):  
Risk Factors ◽  
Health Insurance ◽  
Retrospective Study ◽  
Clinical Characteristics ◽  
Severe Disease ◽  
Previous History ◽  
Population Based ◽  
Therapeutic Modalities ◽  
Risk Of Death ◽  
Increased Risk

Background: We aimed to investigate the clinical characteristics and risk factors for fatality and severity in these patients. Methods: In this nationwide population-based retrospective study, we investigated the data of 7339 laboratory-confirmed COVID-19 patients, aged ≥ 18 years, using the Korean Health Insurance Review and Assessment Service (HIRA) database. Comorbidities and medications used were identified using HIRA codes, and severe COVID-19 was defined as that requiring oxygen therapy, mechanical ventilator, cardiopulmonary resuscitation, or extracorporeal membrane oxygenation. The outcomes were death due to COVID-19 and COVID-19 severity. Results: Mean patient age was 47.1 years; 2970 (40.1%) patients were male. Lopinavir/ritonavir, hydroxychloroquine, antibiotics, ribavirin, oseltamivir, and interferon were administered to 35.8%, 28.4%, 38.1%, 0.1%, 0.3%, and 0.9% of patients, respectively. After adjusting for confounding factors, diabetes mellitus, chronic kidney disease, previous history of pneumonia, aging, and male were significantly associated with increased risk of death and severe disease. No medication was associated with a reduced risk of fatality and disease severity. Conclusions: We found several risk factors for fatality and severity in COVID-19 patients. As the drugs currently used for COVID-19 treatment have not shown significant efficacy, all efforts should be made to develop effective therapeutic modalities for COVID-19.

scholarly journals Risk factors for mortality in hospitalized patients with COVID-19 at the start of the pandemic in Belgium: a retrospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Karlijn van Halem ◽  
Robin Bruyndonckx ◽  
Jeroen van der Hilst ◽  
Janneke Cox ◽  
Paulien Driesen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Case Fatality Rate ◽  
Clinical Characteristics ◽  
Severe Disease ◽  
Univariate Analysis ◽  
Case Fatality ◽  
Fatality Rate ◽  
Risk Of Death ◽  
Increased Risk

Abstract Background Belgium was among the first countries in Europe with confirmed coronavirus disease 2019 (COVID-19) cases. Since the first diagnosis on February 3rd, the epidemic has quickly evolved, with Belgium at the crossroads of Europe, being one of the hardest hit countries. Although risk factors for severe disease in COVID-19 patients have been described in Chinese and United States (US) cohorts, good quality studies reporting on clinical characteristics, risk factors and outcome of European COVID-19 patients are still scarce. Methods This study describes the clinical characteristics, complications and outcomes of 319 hospitalized COVID-19 patients, admitted to a tertiary care center at the start of the pandemic in Belgium, and aims to identify the main risk factors for in-hospital mortality in a European context using univariate and multivariate logistic regression analysis. Results Most patients were male (60%), the median age was 74 (IQR 61–83) and 20% of patients were admitted to the intensive care unit, of whom 63% needed invasive mechanical ventilation. The overall case fatality rate was 25%. The best predictors of in-hospital mortality in multivariate analysis were older age, and renal insufficiency, higher lactate dehydrogenase and thrombocytopenia. Patients admitted early in the epidemic had a higher mortality compared to patients admitted later in the epidemic. In univariate analysis, patients with obesity did have an overall increased risk of death, while overweight on the other hand showed a trend towards lower mortality. Conclusions Most patients hospitalized with COVID-19 during the first weeks of the epidemic in Belgium were admitted with severe disease and the overall case fatality rate was high. The identified risk factors for mortality are not easily amenable at short term, underscoring the lasting need of effective therapeutic and preventative measures.

scholarly journals Risk factors for death among children aged 5–14 years hospitalised with pneumonia: a retrospective cohort study in Kenya

2019 ◽  
Vol 4 (5) ◽  
pp. e001715 ◽  
Author(s):  
Liana Macpherson ◽  
Morris Ogero ◽  
Samuel Akech ◽  
Jalemba Aluvaala ◽  
David Gathara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Clinical Characteristics ◽  
Univariate Analysis ◽  
Older Age ◽  
Who Criteria ◽  
Risk Of Death ◽  
Increased Risk

IntroductionThere were almost 1 million deaths in children aged between 5 and 14 years in 2017, and pneumonia accounted for 11%. However, there are no validated guidelines for pneumonia management in older children and data to support their development are limited. We sought to understand risk factors for mortality among children aged 5–14 years hospitalised with pneumonia in district-level health facilities in Kenya.MethodsWe did a retrospective cohort study using data collected from an established clinical information network of 13 hospitals. We reviewed records for children aged 5–14 years admitted with pneumonia between 1 March 2014 and 28 February 2018. Individual clinical signs were examined for association with inpatient mortality using logistic regression. We used existing WHO criteria (intended for under 5s) to define levels of severity and examined their performance in identifying those at increased risk of death.Results1832 children were diagnosed with pneumonia and 145 (7.9%) died. Severe pallor was strongly associated with mortality (adjusted OR (aOR) 8.06, 95% CI 4.72 to 13.75) as were reduced consciousness, mild/moderate pallor, central cyanosis and older age (>9 years) (aOR >2). Comorbidities HIV and severe acute malnutrition were also associated with death (aOR 2.31, 95% CI 1.39 to 3.84 and aOR 1.89, 95% CI 1.12 to 3.21, respectively). The presence of clinical characteristics used by WHO to define severe pneumonia was associated with death in univariate analysis (OR 2.69). However, this combination of clinical characteristics was poor in discriminating those at risk of death (sensitivity: 0.56, specificity: 0.68, and area under the curve: 0.62).ConclusionChildren >5 years have high inpatient pneumonia mortality. These findings also suggest that the WHO criteria for classification of severity for children under 5 years do not appear to be a valid tool for risk assessment in this older age group, indicating the urgent need for evidence-based clinical guidelines for this neglected population.

Risk Factors for In-Hospital Mortality among a Cohort of Children with Clostridium difficile Infection

2015 ◽  
Vol 36 (10) ◽  
pp. 1183-1189 ◽  
Author(s):  
Neika Vendetti ◽  
Theoklis Zaoutis ◽  
Susan E. Coffin ◽  
Julia Shaklee Sammons
Keyword(s):  
Risk Factors ◽  
Clostridium Difficile ◽  
Hospital Mortality ◽  
Severe Disease ◽  
Treatment Strategies ◽  
Severity Of Illness ◽  
Median Number ◽  
Multivariable Logistic Regression Model ◽  
Risk Of Death ◽  
Increased Risk

OBJECTIVEThe incidence of Clostridium difficile infection (CDI) has increased and has been associated with poor outcomes among hospitalized children, including increased risk of death. The purpose of this study was to identify risk factors for all-cause in-hospital mortality among children with CDI.METHODSA multicenter cohort of children with CDI, aged 1–18 years, was established among children hospitalized at 41 freestanding children’s hospitals between January 1, 2006 and August 31, 2011. Children with CDI were identified using a validated case-finding tool (ICD-9-CM code for CDI plus C. difficile test charge). Only the first CDI-related hospitalization during the study period was used. Risk factors for all-cause in-hospital mortality within 30 days of C. difficile test were evaluated using a multivariable logistic regression model.RESULTSWe identified 7,318 children with CDI during the study period. The median age of this cohort was 6 years [interquartile range (IQR): 2–13]; the mortality rate was 1.5% (n=109); and the median number of days between C. difficile testing and death was 12 (IQR, 7–20). Independent risk factors for death included older age [adjusted odds ratio (OR, 95% confidence interval), 2.29 (1.40–3.77)], underlying malignancy [3.57 (2.36–5.40)], cardiovascular disease [2.06 (1.28–3.30)], hematologic/immunologic condition [1.89 (1.05–3.39)], gastric acid suppression [2.70 (1.43–5.08)], and presence of >1 severity of illness marker [3.88 (2.44–6.19)].CONCLUSIONPatients with select chronic conditions and more severe disease are at increased risk of death. Identifying risk factors for in-hospital mortality can help detect subpopulations of children that may benefit from targeted CDI prevention and treatment strategies.Infect Control Hosp Epidemiol 2015;36(10):1183–1189

The Use of Multiple Correspondence Analysis and K-means to Explore Associations between Risk Factors and Patient Characteristics in Colorectal Cancer (Preprint)

2021 ◽  
Author(s):  
Dídac Florensa ◽  
Jordi Mateo ◽  
Francesc Solsona ◽  
Teresa Pedrol ◽  
Miquel Mesas ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Clinical History ◽  
Patient Characteristics ◽  
Population Based ◽  
Cross Sectional ◽  
Risk Of Death ◽  
Increased Risk

BACKGROUND Previous works have shown that risk factors are associated with an increased risk of colorectal cancer. OBJECTIVE The purpose of this study was to detect these associations in the region of Lleida (Catalonia) using Multiple Correspondence Analysis (MCA) and K-means. METHODS The cross-sectional study was made up of 1,085 colorectal cancer episodes between 2012 and 2015, extracted from the Population-based Cancer Registry (PCR) for the province of Lleida (Spain), the Primary Care Centers database and the Catalan Health Service Register. The relations between risk factors and patient characteristics were identified using MCA and K-means. RESULTS The combination of these techniques helps to detect clusters of patients with similars risk factors. Risk of death is associated with elderly people and obesity or overweight. Stage III is related with people aged ≥65 and rural/semi-urban population while younger people were related with stage 0. CONCLUSIONS MCA and K-means were a significant help for detecting associations between risk factors and patient characteristics. These techniques have proven to be effective tools for analyzing the incidence of some factors in colorectal cancer. The outcomes obtained help to corroborate suspected trends, as well as stimulating new hypotheses about the previous clinical history and how to prevent it.

scholarly journals Cardiovascular profiling in the diabetic continuum: results from the population-based Gutenberg Health Study

2021 ◽  
Author(s):  
Volker H. Schmitt ◽  
Anja Leuschner ◽  
Claus Jünger ◽  
Antonio Pinto ◽  
Omar Hahad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Regression Analysis ◽  
Clinical Outcome ◽  
Population Based ◽  
Health Study ◽  
Cox Regression Analysis ◽  
Risk Of Death ◽  
Gutenberg Health Study ◽  
Increased Risk

Abstract Aims To assess the prevalence of type 2 diabetes mellitus (T2DM) and prediabetes in the general population and to investigate the associated cardiovascular burden and clinical outcome. Methods and Results The study sample comprised 15,010 individuals aged 35–74 years of the population-based Gutenberg Health Study. Subjects were classified into euglycaemia, prediabetes and T2DM according to clinical and metabolic (HbA1c) information. The prevalence of prediabetes was 9.5% (n = 1415) and of T2DM 8.9% (n = 1316). Prediabetes and T2DM showed a significantly increased prevalence ratio (PR) for age, obesity, active smoking, dyslipidemia, and arterial hypertension compared to euglycaemia (for all, P < 0.0001). In a robust Poisson regression analysis, prediabetes was established as an independent predictor of clinically-prevalent cardiovascular disease (PRprediabetes 1.20, 95% CI 1.07–1.35, P = 0.002) and represented as a risk factor for asymptomatic cardiovascular organ damage independent of traditional risk factors (PR 1.04, 95% CI 1.01–1.08, P = 0.025). Prediabetes was associated with a 1.5-fold increased 10-year risk for cardiovascular disease compared to euglycaemia. In Cox regression analysis, prediabetes (HR 2.10, 95% CI 1.76–2.51, P < 0.0001) and T2DM (HR 4.28, 95% CI 3.73–4.92, P < 0.0001) indicated for an increased risk of death. After adjustment for age, sex and traditional cardiovascular risk factors, only T2DM (HR 1.89, 95% CI 1.63–2.20, P < 0.0001) remained independently associated with increased all-cause mortality. Conclusion Besides T2DM, also prediabetes inherits a significant cardiovascular burden, which translates into poor clinical outcome and indicates the need for new concepts regarding the prevention of cardiometabolic disorders.

scholarly journals Gout, rheumatoid arthritis and the risk of death from COVID-19: an analysis of the UK Biobank

2020 ◽  
Author(s):  
Ruth K Topless ◽  
Amanda Phipps-Green ◽  
Megan Leask ◽  
Nicola Dalbeth ◽  
Lisa K Stamp ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Population Based ◽  
Data Sets ◽  
Uk Biobank ◽  
Control Cohort ◽  
Risk Of Death ◽  
Increased Risk ◽  
Adjusted Logistic Regression ◽  
The Uk

AbstractObjectiveTo assess whether gout and / or rheumatoid arthritis (RA) are risk factors for coronavirus disease 19 (COVID-19) diagnosis. To assess whether gout and / or RA are risk factors for death from COVID-19.MethodsWe used data from the UK Biobank. Multivariate-adjusted logistic regression was employed in the following analyses. Analysis A: to test for association between gout or RA and COVID-19 diagnosis in a population-based cohort (n=473,139). Analysis B: to test for association between gout or RA and death from COVID-19 in a case-control cohort of people who died or survived with COVID-19 (n=2,073). Analysis C: to test for association with gout or RA and death from COVID-19 in a population-based cohort (n=473,139)ResultsNeither RA nor gout associated with COVID-19 diagnosis in analysis A, nor did RA or gout associate with risk of death in the COVID-19-diagnosed group in analysis B. However RA associated with risk of death from COVID-19 using the population-based cohort in analysis C independent of comorbidities and other measured risk factors (OR=1.8 [95% CI 1.2 ; 2.7]). Gout was not associated with death from COVID-19 in the same population-based analysis (OR=1.2 [95% CI 0.9 ; 1.7]).ConclusionsRA and gout are not risk factors for COVID-19-diagnosis. However RA, but not gout, is a risk factor for death from COVID-19 in a population-based analysis using the UK Biobank. These findings require replication in larger data sets that also allow inclusion of a wider range of factors.Key messagesWhat is already known?Information on the risk of death from COVID-19 for people with gout and rheumatoid arthritis is scarce.What does this study add?In a population-based analysis there is an increased risk of death by COVID-19 for people with rheumatoid arthritis independent of co-morbidities, but not gout.The findings need to be replicated in other datasets where the influence of therapies for RA can be tested.How might this impact on clinical practice?Improved clinical management and treatment for RA patients with COVID-19.

Long-Term Survival, Causes of Death, and Trends in 5-Year Mortality After Intracerebral Hemorrhage: The Tromsø Study

Stroke ◽  
2021 ◽  
Author(s):  
Maria Carlsson ◽  
Tom Wilsgaard ◽  
Stein Harald Johnsen ◽  
Liv-Hege Johnsen ◽  
Maja-Lisa Løchen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Intracerebral Hemorrhage ◽  
Causes Of Death ◽  
Population Based ◽  
Term Survival ◽  
Long Term Survival ◽  
Risk Of Death ◽  
Increased Risk

Background and Purpose: Data on long-term survival after intracerebral hemorrhage (ICH) are scarce. In a population-based nested case-control study, we compared long-term survival and causes of death within 5 years in 30-day survivors of first-ever ICH and controls, assessed the impact of cardiovascular risk factors on 5-year mortality, and analyzed time trend in 5-year mortality in ICH patients over 2 decades. Methods: We included 219 participants from the population-based Tromsø Study, who after the baseline participation had a first-ever ICH between 1994 to 2013 and 1095 age- and sex-matched participants without ICH. Cumulative survival was presented using the Kaplan-Meier method. Hazard ratios (HRs) for mortality and for the association between cardiovascular risk factors and 5-year mortality in 30-day survivors were estimated by stratified Cox proportional hazards models. Trend in 5-year mortality was assessed by logistic regression. Results: Risk of death during follow-up (median time, 4.8 years) was increased in the ICH group compared with controls (HR, 1.62 [95% CI, 1.27–2.06]). Cardiovascular disease was the leading cause of death, with a higher proportion in ICH patients (22.9% versus 9.0%; P <0.001). Smoking increased the risk of 5-year mortality in cases and controls (HR, 1.59 [95% CI, 1.15–2.19]), whereas serum cholesterol was associated with 5-year mortality in cases only (HR, 1.39 [95% CI, 1.04–1.86]). Use of anticoagulants at ICH onset increased the risk of death (HR, 2.09 [95% CI, 1.09–4.00]). There was no difference according to ICH location (HR, 1.15 [95% CI, 0.56–2.37]). Five-year mortality did not change during the study period (odds ratio per calendar year, 1.01 [95% CI, 0.93–1.09]). Conclusions: Survival rates were significantly lower in cases than in controls, driven by a 2-fold increased risk of cardiovascular death. Smoking, serum cholesterol, and use of anticoagulant drugs were associated with increased risk of death in ICH patients. Five-year mortality rates in ICH patients remained stable over time.

scholarly journals Clinical characteristics of 14 COVID-19 deaths in Tianmen, China: a single-center retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jijia Hu ◽  
Yingang Zhang ◽  
Wei Wang ◽  
Zhihe Tao ◽  
Juan Tian ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Median Duration ◽  
Clinical Characteristics ◽  
Cardiac Injury ◽  
Kidney Injury ◽  
Reactive Protein ◽  
Risk Of Death ◽  
High Risk Factors ◽  
Increased Risk ◽  
The Mean

Abstract Background The treatment of critically ill patients with COVID-19 who were hospitalized in Wuhan has been reported. However, the clinical characteristics of patients who died of COVID-19 in regions with relatively scarce healthcare resources remain unknown. Methods In this retrospective study, a total of 14 patients who were admitted from January 18 to February 11, 2020 and died of COVID-19 were evaluated. The epidemiological, symptomatic, laboratory, radiological and treatment records were reviewed and analyzed. Results The mean age of the 14 patients was 56.7 (SD 15.3) years, and 8 (57.1%) were older than 50 years. Eight (57.1%) were men, and 11 (78.6%) had one or more high risk factors. The most common chronic diseases among these patients were cardiovascular disease (7, 50.0%), hypertension (6, 42.9%), and chronic kidney disease (5, 35.7%). General symptoms included cough (12, 85.7%), fever (11, 78.6%), and dyspnea (10, 71.4%). The median duration from the onset of symptoms to death was 11 (IQR 6.5–19.5) days, and the median duration from admission to death was 4.5 (1.0–11.8) days. Patients who died within 4.5 days had more severe pulmonary lesions, significantly reduced lymphocytes and elevated C-reactive protein (CRP). Most patients had organ dysfunction, including 13 (92.9%) with acute respiratory distress syndrome (ARDS), 4 (28.6%) with cardiac injury, 3 (21.4%) with acute kidney injury, and 3 (21.4%) with liver dysfunction. Conclusions Elderly SARS-CoV-2-infected patients with comorbidities, especially those with ARDS and severe chest CT findings on admission, are at increased risk of death and deserve special attention and quality medical treatment.

scholarly journals Clinical Predictors Implicated in the Incidence of Acute Pyelonephritis during the Antepartum Period: A Population-Based Cohort Study

2019 ◽  
Vol 45 (2) ◽  
pp. 297-306
Author(s):  
Gang Jee Ko ◽  
Shin Young Ahn ◽  
Ji Eun Kim ◽  
Eun Jung Cho ◽  
Kyu-Min Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Acute Pyelonephritis ◽  
Clinical Characteristics ◽  
Multivariate Logistic Regression Analysis ◽  
Population Based ◽  
Health Examination ◽  
Clinical Predictors ◽  
Increased Risk ◽  
High Fasting Glucose

Introduction: Acute pyelonephritis (APN) is a common infection during pregnancy that increases the risk of unfavorable maternal and fetal outcomes. However, it has not been clearly elucidated which demographic and clinical characteristics are associated with the incidence of APN during pregnancy. Objective: This population-based cohort study aimed to determine the risk factors for APN during pregnancy. Methods: Using the database of the Health Insurance Review and Assessment Service of South Korea, we enrolled Korean women who delivered infants between 2010 and 2014 in Korea and had complete health examination records within 1 year of pregnancy. We performed multivariate logistic regression analysis to evaluate the risk factors for APN during pregnancy. Results: Of 370,248 women, 2,526 (0.7% of the total participants) were treated for APN while in hospitalization during pregnancy. Younger age, history of previous APN within 1 year of pregnancy, and abnormal results of health examination before pregnancy, such as high fasting glucose level (>100 mg/dL) and proteinuria, were associated with an increased risk of APN during pregnancy. Conclusion: Certain maternal demographic and clinical characteristics were associated with the incidence of APN during pregnancy, and these should be monitored closely during antenatal care.

scholarly journals Both high and low pre-infection glucose levels associated with increased risk for severe COVID-19: New insights from a population-based study

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254847
Author(s):  
Michal Shauly-Aharonov ◽  
Asher Shafrir ◽  
Ora Paltiel ◽  
Ronit Calderon-Margalit ◽  
Rifaat Safadi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Glucose ◽  
Severe Disease ◽  
Fasting Blood Glucose ◽  
Population Based ◽  
Historical Cohort ◽  
Glucose Levels ◽  
Increased Risk ◽  
Patients With Diabetes ◽  
The Relationship

Importance Patients with diabetes are known to be at increased risk for infections including severe coronavirus disease 2019 (COVID-19) but the relationship between COVID-19 severity and specific pre-infection glucose levels is not known. Objective To assess the differential effects of pre-infection glucose levels on the risk for severe COVID-19 amongst patients with and without diabetes. Design Population based historical cohort study. Setting National state-mandated HMO. Patients All adult patients with a positive SARS-COV2 test between March-October 2020. Exposure Recent fasting blood glucose (FBG) and glycated hemoglobin (HBA1C), age, gender, body mass index (BMI) and diagnoses of diabetes, hypertension, ischemic heart disease. Outcome Risk for severe COVID-19, defined as resulting in ≥10 hospitalization days, ICU admission or death. Results 37,121 patients with a positive SARS-COV2 test were identified; 707 defined as severe (1.9%). Unadjusted risk factors for severe disease were age (OR = 1.1 for every year increase; 95% CI 1.09–1.11, p < 0.001), male gender (OR = 1.34, 95% CI 1.06–1.68, p = 0.012); BMI (OR = 1.02 for 1 kg/m2 increase, 95% CI 1.00–1.04, p = 0.025). Controlling for these factors, we found an association between pre-infection FBG and the risk of severe COVID-19, with a differential effect in patients with and without a diagnosis of diabetes. For patients without diabetes, elevated FBG in the pre-diabetes range (106–125 mg/dl) was associated with severe COVID-19 (OR 1.55 95% CI 1.04–2.26 p = 0.027). For patients with a diagnosis of diabetes, we found a J-shaped association between pre-infection glucose control and the risk for severe COVID-19 where the lowest risk for was for patients with FBG 106–125 mg/dl; the risk increased with higher pre-infection glucose levels but strikingly also for patients with a low pre-infection FBG (<100mg/dl) or HbA1C (<5.7%). Conclusions and relevance Elevated pre-infection blood glucose is a risk factor for severe COVID-19 even in non-diabetics. For patients with a diagnosis of diabetes both high as well as low pre-infection glucose levels are risk factors for severe COVID-19. Further research is required to assess whether these associations are causal, but we believe these findings can already have clinical implications for COVID-19 risk assessment and stratification.

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