scholarly journals On the Analysis of Mortality Risk Factors for Hospitalized COVID-19 Patients: a Data-driven Study Using the Major Brazilian Database

2020 ◽  
Author(s):  
Fernanda Sumika Hojo Souza ◽  
Natália Satchiko Hojo-Souza ◽  
Ben Dêivide de Oliveira Batista ◽  
Cristiano Maciel da Silva ◽  
Daniel Ludovico Guidoni
Keyword(s):  
Risk Factors ◽  
Heart Disease ◽  
Mortality Rate ◽  
High Mortality ◽  
Mortality Risk ◽  
Invasive Mechanical Ventilation ◽  
Admission Rate ◽  
Older Age ◽  
Data Driven ◽  
Disease Outcome

Background: Brazil became the epicenter of the COVID-19 epidemic in a brief period of a few months after the first officially registered case. The knowledge of the epidemiological/clinical profile and the risk factors of Brazilian COVID-19 patients can assist in the decision making of physicians in the implementation of early and most appropriate measures for poor prognosis patients. However, these reports are missing. Here we present a comprehensive study that addresses this demand. Methods: This data-driven study was based on the Brazilian Ministry of Health Database (SIVEP-Gripe, 2020) regarding notified cases of hospitalized COVID-19 patients during the period from February 26 to August 10, 2020. Demographic data, clinical symptoms, comorbidities and other additional information of patients were analyzed. Results: The hospitalization rate was higher for male gender (56.56%) and for older age patients of both sexes. Overall, the mortality rate was quite high (41.28%) among hospitalized patients, especially those over 60 years of age. Most prevalent symptoms were cough, dyspnoea, fever, low oxygen saturation and respiratory distress. Heart disease, diabetes, obesity, kidney disease, neurological disease, and pneumopathy were the most prevalent comorbidities. A high prevalence of hospitalized COVID-19 patients with heart disease (65.7%) and diabetes (53.55%) and with a high mortality rate of around 50% was observed. The ICU admission rate was 39.37% and of these 62.4% died. 24.4% of patients required invasive mechanical ventilation (IMV), with high mortality among them (82.98%). The main mortality risk predictors were older age and IMV requirement. In addition, socioeconomic conditions have been shown to significantly influence the disease outcome, regardless of age and comorbidities. Conclusion: Our study provides a comprehensive overview of the hospitalized Brazilian COVID-19 patients profile and the mortality risk factors. The analysis also evidenced that the disease outcome is influenced by multiple factors, as unequally affects different segments of population.

scholarly journals On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248580
Author(s):  
Fernanda Sumika Hojo de Souza ◽  
Natália Satchiko Hojo-Souza ◽  
Ben Dêivide de Oliveira Batista ◽  
Cristiano Maciel da Silva ◽  
Daniel Ludovico Guidoni
Keyword(s):  
Risk Factors ◽  
Mortality Risk ◽  
Cardiac Disease ◽  
Clinical Symptoms ◽  
Demographic Data ◽  
Invasive Mechanical Ventilation ◽  
Admission Rate ◽  
Older Age ◽  
Data Driven ◽  
Disease Outcome

Background Brazil became the epicenter of the COVID-19 epidemic in a brief period of a few months after the first officially registered case. The knowledge of the epidemiological/clinical profile and the risk factors of Brazilian COVID-19 patients can assist in the decision making of physicians in the implementation of early and most appropriate measures for poor prognosis patients. However, these reports are missing. Here we present a comprehensive study that addresses this demand. Methods This data-driven study was based on the Brazilian Ministry of Health Database (SIVEP-Gripe) regarding notified cases of hospitalized COVID-19 patients during the period from February 26th to August 10th, 2020. Demographic data, clinical symptoms, comorbidities and other additional information of patients were analyzed. Results The hospitalization rate was higher for male gender (56.56%) and for older age patients of both sexes. Overall, the lethality rate was quite high (41.28%) among hospitalized patients, especially those over 60 years of age. Most prevalent symptoms were cough, dyspnoea, fever, low oxygen saturation and respiratory distress. Cardiac disease, diabetes, obesity, kidney disease, neurological disease, and pneumopathy were the most prevalent comorbidities. A high prevalence of hospitalized COVID-19 patients with cardiac disease (65.7%) and diabetes (53.55%) and with a high lethality rate of around 50% was observed. The intensive care unit (ICU) admission rate was 39.37% and of these 62.4% died. 24.4% of patients required invasive mechanical ventilation (IMV), with high mortality among them (82.98%). The main mortality risk predictors were older age and IMV requirement. In addition, socioeconomic conditions have been shown to significantly influence the disease outcome, regardless of age and comorbidities. Conclusion Our study provides a comprehensive overview of the hospitalized Brazilian COVID-19 patients profile and the mortality risk factors. The analysis also evidenced that the disease outcome is influenced by multiple factors, as unequally affects different segments of population.

Mortality and associated risk factors in diabetics

1985 ◽  
Vol 110 (4_Suppl) ◽  
pp. S21-S26 ◽  
Author(s):  
R. J. Jarrett ◽  
M. J. Shipley
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Mortality Risk ◽  
Mortality Rates ◽  
Potential Risk Factors ◽  
Diabetic Population ◽  
Associated Risk Factors ◽  
The Relationship

Summary. In 168 male diabetics aged 40-64 years participating in the Whitehall Study, ten-year age adjusted mortality rates were significantly higher than in non-diabetics for all causes, coronary heart disease, all cardiovascular disease and, in addition, causes other than cardiovascular. Mortality rates were not significantly related to known duration of the diabetes. The predictive effects of several major mortality risk factors were similar in diabetics and non-diabetics. Excess mortality rates in the diabetics could not be attributed to differences in levels of blood pressure or any other of the major risk factors measured. Key words: diabetics; mortality rates; risk factors; coronary heart disease. There are many studies documenting higher mortality rates - particularly from cardiovascular disease -in diabetics compared with age and sex matched diabetics from the same population (see Jarrett et al. (1982) for review). However, there is sparse information relating potential risk factors to subsequent mortality within a diabetic population, information which might help to explain the increased mortality risk and also suggest preventive therapeutic approaches. In the Whitehall Study, a number of established diabetics participated in the screening programme and data on mortality rates up to ten years after screening are available. We present here a comparison of diabetics and non-diabetics in terms of relative mortality rates and the influence of conventional risk factors as well as an analysis of the relationship between duration of diabetes and mortality risk.

scholarly journals Cerebral venous sinus thrombosis associated with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection

2021 ◽  
pp. 104-104
Author(s):  
Dragan Nikolic ◽  
Marijana Basta-Nikolic ◽  
Vladimir Manojlovic ◽  
Zeljko Zivanovic ◽  
Sanja Vickovic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Severe Acute Respiratory Syndrome ◽  
High Mortality ◽  
Clinical Presentation ◽  
Sinus Thrombosis ◽  
Cerebral Venous Sinus Thrombosis ◽  
Neurological Symptoms ◽  
Venous Sinus ◽  
Venous Sinus Thrombosis

Introduction/Objective. Coagulopathy induced by severe acute respiratory syndrome coronavirus 2 infection (SARS-CoV-2) can be an underlying cause of cerebral venous sinus thrombosis (CVST), a less common type of stroke with a variable clinical presentation and high mortality rate. Objective: to present a series of CVST cases associated with SARS-CoV-2 infection. Methods. This retrospective study evaluated clinical, laboratory and radiological presentation, risk factors, barriers to diagnosis, treatment and outcome of patients with SARS-CoV-2 infection induced CVST. Results. The study comprised 6 patients diagnosed with COVID-19 induced CVST during the 18 months period. Majority (66.7%) had no significant risk factors for developing CVST. Median time from initial COVID-19 diagnosis to onset of neurologic deficit was 7 days (interquartile range 0.5-7 days). Clinical presentation comprised non specific neurological symptoms: headache (83.3%) and decreased consciousness (33.3%), together with elevated levels of D-dimer and inflammatory biomarkers. The transverse (n = 4 or 66.7%), superior sagittal sinuses (n = 3 or 50%) and sigmoid sinus (n = 2 or 33.3%) were most commonly affected. Five patients (83.3%) had minimal to no symptoms at discharge (mRS ? 2). In-hospital mortality in our current series was relatively high (16.7%). Conclusion. The high mortality rate of SARS-CoV-2-associated CVST urges clinicians to suspect CVST in patients with a history of COVID-19 infection presenting with non-specific neurological symptoms in order to provide proper treatment and prevent complications.

scholarly journals Emphysematous cystitis: mortality, risk factors, and pathogens of a rare disease

2017 ◽  
Vol 7 (2) ◽  
Author(s):  
Andreas Schicho ◽  
Christian Stroszczynski ◽  
Philipp Wiggermann
Keyword(s):  
Risk Factors ◽  
Escherichia Coli ◽  
Mortality Rate ◽  
Mortality Risk ◽  
Conservative Management ◽  
Mortality Rates ◽  
Emphysematous Pyelonephritis ◽  
Emphysematous Cystitis ◽  
The Mean ◽  
High Degree

Although high mortality rates have been reported for emphysematous pyelonephritis (EP), information on emphysematous cystitis (EC), which is less common, is sparse. Here, we report one new case of severe EC and 136 cases of EC that occurred between 2007 and 2016, and review information about the characteristics, diagnosis, treatment and mortality of these patients, and the pathogens found in these patients. The mean age of the 136 patients was 67.9±14.2 years. Concurrent emphysematous infections of other organs were found in 21 patients (15.4%), with emphysematous pyelonephritis being the most common of these infections. The primary pathogen identified was <em>Escherichia coli</em> (54.4%). Patients were mainly treated by conservative management that included antibiotics (n=105; 77.2%). Ten of the 136 patients with EC died, yielding a mortality rate of 7.4%. Despite the relatively low mortality rate of EC compared with that of EP, a high degree of suspicion must be maintained to facilitate successful and conservative management.

scholarly journals Epidemiology and risk factors of infective endocarditis in a tertiary hospital in China from 2007 to 2016

2019 ◽  
Author(s):  
Zhenzhu Wu ◽  
Yi Chen ◽  
Tingting Xiao ◽  
Tianshui Niu ◽  
Qingyis Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pulmonary Hypertension ◽  
Heart Disease ◽  
Infective Endocarditis ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Tertiary Hospital ◽  
The Past ◽  
Increasing Trend ◽  
One Year

Abstract Background: To explore the trends in epidemiology and risk factors related to the prognosis of infective endocarditis in a teaching hospital over the past ten years. Methods: A retrospective cohort study was performed. A total of 407 consecutive patients were included. The clinical characteristics and risk factors related to the prognosis of infective endocarditis during this period were analyzed. Results: A total of 407 patients with infective endocarditis were included, the average age was 48 ±16 years old with an increasing trend and in-hospital mortality rate was 10.6% and one-year mortality rate was 12.2%. Among patients with underlying heart disease, congenital heart disease was the most common(25.8%), followed by rheumatic heart disease which showed a decreased trend during this period (P<0.001). There were 222(54.5%) positive blood cultures and streptococci (44.1%) was the main pathogens with an increasing trend. There were 403 patients (99%) with surgical indications, but only 234 patients (57.5%) received surgical treatment. Hemodialysis (P = 0.041, OR = 4.697, 95% CI 1.068-20.665), pulmonary hypertension (P = 0.001, OR = 5.308, 95% CI 2.034-13.852), Pitt score ≥ 4 (P <0.001, OR = 28.5, 95% CI 5.5-148.1) and vegetation length＞30mm (P = 0.011, OR = 13.754, 95% CI 1.832-103.250) were independent risk factors for in-hospital mortality. Conclusions: There was no significant change in the overall incidence of IE, the clinical features of IE have changed slightly during the past ten years. Streptococci IE was still the predominant. IE patients with hemodialysis, pulmonary hypertension, Pitt score ≥ 4 and vegetation length＞30mm had an worse in-hospital outcome.

scholarly journals Mortality Risk Factors in the China Dialysis Outcomes and Practice Patterns Study (DOPPS)

2021 ◽  
Author(s):  
Xinju Zhao ◽  
Qingyu Niu ◽  
Zhaohui Ni ◽  
Xiaonong Chen ◽  
Yuqing Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Congestive Heart Failure ◽  
Mortality Rate ◽  
Mortality Risk ◽  
Practice Patterns ◽  
Cox Model ◽  
Blood Platelets ◽  
Cox Proportional Hazards ◽  
Dialysis Outcomes

Abstract Background Mortality risk for hemodialysis (HD) patients varies by country and ethnicity. Here, mortality rate and its related risk factors in Chinese HD patients from the Dialysis Outcomes and Practice Patterns Study (DOPPS) were investigated.Methods Data from China DOPPS phase 5 (2012–2015) were used. Patients’ demographics, assigned primary causes of end stage Kidney disease (ESKD), comorbidities, dialysis prescription, laboratory values, date and cause for death were analyzed. Cox proportional hazards models were used to assess the association of patient characteristics and treatments with mortality.Results 1427 HD patients were enrolled. The mean age was 59.4 ± 14.9 years. The median follow-up time was 1.9 (1.1–2.1) years. There was total 205 deaths with at least 103 from cardiovascular disease (50.2%). The overall mortality rate was 8.8 per 100 patient-years. In the multivariate COX model, older, serum albumin (Alb < 4g/dl, blood platelets < 100*109/L, pulse pressure (PP) > 63mmHg, and congestive heart failure history were independent risk factors for all-cause mortality.Conclusions Attention should be paid to patients who were older, with lower Alb and blood platelets level, higher PP and congestive heart failure history. Our results highlighted that there might be some modifiable risk factors for patients’ survival, such as Hgb, Alb, blood platelets, and blood pressure management.

scholarly journals The COVID-19 mortality effects of underlying health conditions in India: a modelling study

2020 ◽  
Author(s):  
Paul Novosad ◽  
Radhika Jain ◽  
Alison Campion ◽  
Sam Asher
Keyword(s):  
Risk Factors ◽  
Heart Disease ◽  
Kidney Disease ◽  
Mortality Risk ◽  
Age Distribution ◽  
Chronic Respiratory Disease ◽  
Health Conditions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Chronic Heart Disease

ABSTRACTObjectiveTo model how known COVID-19 comorbidities will affect mortality rates and the age distribution of mortality in a large lower middle income country (India), as compared with a high income country (England), and to identify which health conditions drive any differences.DesignModelling study.SettingEngland and India.Participants1,375,548 respondents aged 18 to 99 to the District Level Household Survey-4 and Annual Health Survey in India. Additional information on health condition prevalence on individuals aged 18 to 99 was obtained from the Health Survey for England and the Global Burden of Diseases, Risk Factors, and Injuries Studies (GBD).Main outcome measuresThe primary outcome was the proportional increase in age-specific mortality in each country due to the prevalence of each COVID-19 mortality risk factor (diabetes, hypertension, obesity, chronic heart disease, respiratory illness, kidney disease, liver disease, and cancer, among others). The combined change in overall mortality and the share of deaths under 60 from the combination of risk factors was estimated in each country.ResultsRelative to England, Indians have higher rates of diabetes (10.6% vs. 8.5%), chronic respiratory disease (4.8% vs. 2.5%), and kidney disease (9.7% vs. 5.6%), and lower rates of obesity (4.4% vs. 27.9%), chronic heart disease (4.4% vs. 5.9%), and cancer (0.3% vs. 2.8%). Population COVID-19 mortality in India relative to England is most increased by diabetes (+5.4%) and chronic respiratory disease (+2.3%), and most reduced by obesity (−9.7%), cancer (−3.2%), and chronic heart disease (−1.9%). Overall, comorbidities lower mortality in India relative to England by 9.7%. Accounting for demographics and population health explains a third of the difference in share of deaths under age 60 between the two countries.ConclusionsKnown COVID-19 health risk factors are not expected to have a large effect on aggregate mortality or its age distribution in India relative to England. The high share of COVID-19 deaths from people under 60 in low- and middle-income countries (LMICs) remains unexplained. Understanding mortality risk associated with health conditions prevalent in LMICs, such as malnutrition and HIV/AIDS, is essential for understanding differential mortality.SUMMARY BOXWhat is already known on this topicCOVID-19 infections in low- and middle-income countries (LMICs) are rising rapidly, with the burden of mortality concentrated at much younger ages than in rich countries.A range of pre-existing health conditions can increase the severity of COVID-19 infections.It is feared that poor population health may worsen the severity of the pandemic in LMICs.What this study addsThe COVID-19 comorbidities that have been studied to date may have only a very small effect on aggregate mortality in India relative to England and do not shift the mortality burden toward lower ages at all.India’s younger demographics can explain only a third of the substantial difference in the share of deaths under age 60 between India and England.However, mortality risk associated with health conditions prevalent in LMICs, such as malnutrition and HIV/AIDS, is unknown and research on this topic is urgently needed.

scholarly journals Is older age associated with COVID-19 mortality in the absence of other risk factors? General population cohort study of 470,034 participants

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241824 ◽  
Author(s):  
Frederick K. Ho ◽  
Fanny Petermann-Rocha ◽  
Stuart R. Gray ◽  
Bhautesh D. Jani ◽  
S. Vittal Katikireddi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Cohort Study ◽  
Mortality Risk ◽  
Handgrip Strength ◽  
Older Age ◽  
High Systolic Blood Pressure ◽  
Long Term Conditions ◽  
Population Cohort ◽  
Population Cohort Study

Introduction Older people have been reported to be at higher risk of COVID-19 mortality. This study explored the factors mediating this association and whether older age was associated with increased mortality risk in the absence of other risk factors. Methods In UK Biobank, a population cohort study, baseline data were linked to COVID-19 deaths. Poisson regression was used to study the association between current age and COVID-19 mortality. Results Among eligible participants, 438 (0.09%) died of COVID-19. Current age was associated exponentially with COVID-19 mortality. Overall, participants aged ≥75 years were at 13-fold (95% CI 9.13–17.85) mortality risk compared with those <65 years. Low forced expiratory volume in 1 second, high systolic blood pressure, low handgrip strength, and multiple long-term conditions were significant mediators, and collectively explained 39.3% of their excess risk. The associations between these risk factors and COVID-19 mortality were stronger among older participants. Participants aged ≥75 without additional risk factors were at 4-fold risk (95% CI 1.57–9.96, P = 0.004) compared with all participants aged <65 years. Conclusions Higher COVID-19 mortality among older adults was partially explained by other risk factors. ‘Healthy’ older adults were at much lower risk. Nonetheless, older age was an independent risk factor for COVID-19 mortality.

scholarly journals Mortality Risk Factors in the China Dialysis Outcomes and Practice Patterns Study (DOPPS)

2021 ◽  
Author(s):  
Xinju Zhao ◽  
Qingyu Niu ◽  
Zhaohui Ni ◽  
Xiaonong Chen ◽  
Yuqing Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Congestive Heart Failure ◽  
Mortality Rate ◽  
Mortality Risk ◽  
Practice Patterns ◽  
Cox Model ◽  
Blood Platelets ◽  
Cox Proportional Hazards ◽  
Dialysis Outcomes

Abstract Background Mortality risk for hemodialysis (HD) patients varies by country and ethnicity. Here, mortality rate and its related risk factors in Chinese HD patients from the Dialysis Outcomes and Practice Patterns Study (DOPPS) were investigated. Methods Data from China DOPPS phase 5 (2012–2015) were used. Patients’ demographics, assigned primary causes of end stage kidney disease (ESKD), comorbidities, dialysis prescription, laboratory values, date and cause for death were analyzed. Cox proportional hazards models were used to assess the association of patient characteristics and treatments with mortality. Results 1427 HD patients were enrolled. The mean age was 59.4 ± 14.9 years. The median follow-up time was 1.9 (1.1–2.1) years. There was total 205 deaths with at least 103 from cardiovascular disease (50.2%). The overall mortality rate was 8.8 per 100 patient-years. In the multivariate Cox model, older, serum albumin (Alb < 4g/dl, blood platelets < 100*109/L, pulse pressure (PP) > 63mmHg, and congestive heart failure history were independent risk factors for all-cause mortality. Conclusions Attention should be paid to patients who were older, with lower Alb and blood platelets level, higher PP and congestive heart failure history. Our results highlighted that there might be some modifiable risk factors for patients’ survival, such as Hgb, Alb, blood platelets, and blood pressure management.

scholarly journals 2316. RSV Mortality: 19 Years’ Experience in a Pediatric Hospital in Argentina

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S794-S794
Author(s):  
Angela Gentile ◽  
Maria Florencia Lucion ◽  
María del Valle Juárez ◽  
María Soledad Areso ◽  
Lucia Paglieri ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Mortality Rate ◽  
Neurological Disease ◽  
Congenital Heart ◽  
Acute Lower Respiratory Infection ◽  
Significant Difference ◽  
Rsv Infection ◽  
Epidemiological Characteristics

Abstract Background Respiratory syncytial virus (RSV) is the leading cause of acute lower respiratory infection (ALRI) in children. We aimed to describe the clinical–epidemiological pattern and risk factors for mortality associated with RSV infection. Methods Prospective, cross-sectional study of ALRI in children admitted to a Children’s Hospital among 2000–2018. Viral diagnosis was made by fluorescent antibody techniques or real-time PCR. We compared clinical–epidemiological characteristics of RSV infection in nonfatal vs. fatal cases. Multiple logistic regression was used to identify independent predictors of mortality. Results From a total 16,018 patients with ALRI, 13,545(84.6%) were tested for respiratory viruses, 6047 (45%) were positive: RSV 81.1% (4,907), influenza 7.5% (456), parainfluenza 6.9% (419) and adenovirus 4.4% (265). RSV had a seasonal epidemic pattern coinciding with months of lowest average temperature. RSV mortality rate: 1.7% (83/4,855). Fatal cases had a higher proportion of: prematurity (P < 0.01), perinatal respiratory history (P < 0.01), malnourishment (P < 0.01), congenital heart disease (P < 0.01), chronic neurological disease (P < 0.01) and pneumonia as clinical presentation (<0.01). No significant difference between gender was observed. The annual mortality rate distribution was not stable over the study period with the highest mortality in the year 2002. Most deaths occurred among children who had complications: respiratory distress (80.7%), sepsis (31.3%) and atelectasis (13.2%). Independent predictors of RSV mortality were: moderate to severe malnourishment OR 3.64 (95% CI 1.96–6.74)P < 0.01, chronic neurological disease OR 3.99 (95% CI 2.04–7.79) P < 0.01, congenital heart disease OR 4.10 (95% CI 2.36–7.15)P < 0.01 and age under 6 months OR 1.96 (95% CI 1.23–3.11)P < 0.01. Conclusion RSV showed an epidemic seasonal pattern. Malnourishment, chronic neurological disease, congenital heart disease, age under 6 months and pneumonia were the independent risk factors for RSV mortality. Disclosures All authors: No reported disclosures.

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