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104 results for “Mortality factors”
Factors associated with COVID-19 infections and mortality in Africa: A cross-sectional study using publicly available data
<p><span><b>Introduction</b></span></p> <p><span>The current COVID-19 pandemic is a global threat. This elicits questions on the level of preparedness and capacity of health systems to respond to emergencies. Relative to other parts of the world, Africa has poorly developed health systems with limited capacity to respond to health crises. Africa is particularly disadvantaged.</span></p> <p><span><b>Methods</b></span></p> <p><span>This cross-sectional study uses publicly available core health data for 53 African countries, to determine risk factors for cumulative COVID-19 deaths and cases per million in all countries in the continent. Descriptive statistics were determined for the indicators and a negative binomial regression was used for modelling the risk factors.</span></p> <p><span><b>Results</b></span></p> <p><span>In Sub-Saharan Africa, an increase in the number of nursing and midwifery personnel decreased the risk of COVID-19 deaths (p=0.0178) while a unit increase in UHC index of service coverage and prevalence of insufficient physical activity among adults increased the risk of COVID-19 deaths (p=0.0432 and p=0.0127). An increase in the proportion of infants initiating breastfeeding reduced the number of cases per million (p<0.0001) while an increase in higher healthy life expectancy at birth increased the number of cases per million (p=0.0340).</span></p> <p><span><b>Conclusion</b></span></p> <p><span>Despite its limited resources, Africa's preparedness and response to the COVID-19 pandemic can be improved by identifying and addressing <i>specific</i> gaps in the funding of health services delivery. These gaps impact negatively on service delivery but appear to have received limited funding and policy priority. </span></p>
Data from: Lower education level is a risk factor for peritonitis and technique failure but not a risk for overall mortality in peritoneal dialysis under comprehensive training system
Background: Lower education level could be a risk factor for higher peritoneal dialysis (PD)-associated peritonitis, potentially resulting in technique failure. This study evaluated the influence of lower education level on the development of peritonitis, technique failure, and overall mortality. Methods: Patients over 18 years of age who started PD at Seoul National University Hospital between 2000 and 2012 with information on the academic background were enrolled. Patients were divided into three groups: middle school or lower (academic year ? 9, n = 102), high school (9 < academic year ? 12, n = 229), and higher than high school (academic year > 12, n = 324). Outcomes were analyzed using Cox proportional hazards models and competing risk regression. Results: A total of 655 incident PD patients (60.9% male, age 48.4 ± 14.1 years) were analyzed. During follow-up for 41 (interquartile range, 20-65) months, 255 patients (38.9%) experienced more than one episode of peritonitis, 138 patients (21.1%) underwent technique failure, and 78 patients (11.9%) died. After adjustment, middle school or lower education group was an independent risk factor for peritonitis (adjusted hazard ratio [HR], 1.61; 95% confidence interval [CI], 1.10-2.36; P = 0.015) and technique failure (adjusted HR, 1.87; 95% CI, 1.10-3.18; P = 0.038), compared with higher than high school education group. However, lower education was not associated with increased mortality either by as-treated (adjusted HR, 1.11; 95% CI, 0.53-2.33; P = 0.788) or intent-to-treat analysis (P = 0.726). Conclusions: Although lower education was a significant risk factor for peritonitis and technique failure, it was not associated with increased mortality in PD patients. Comprehensive training and multidisciplinary education may overcome the lower education level in PD.
Table S1.Results of Univariate Cox Regression Analysis for Factors Associated with All-Cause Mortality in COPD Figure S1. Sensitivity analysis of COPD all-cause mortality across tertiles of DII
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Child mortality in the population of Béré, Chad: involvement of socio-economic factors
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Figure 4 in Entomopathogenic Fungi as Mortality Factors of Macadamia Felted Coccid, Eriococcus ironsidei (Hemiptera: Eriococcidae) in Hawaii
Figure 4. Mean mortality (±SEM) of E. ironsidei after dipping in increasing conidial concentrations of C. griseum. Bars with different letters differ significantly (α = 0.05) by LSD.
Morbidity, Mortality And Risk Factors of Mpox in HIV Negative High Risk Sexual Health Clinic Attenders and People Living With HIV
ClinicalTrials.gov study NCT05965427. IPD Sharing: UNDECIDED. Countries: 4. Publications: 0.
Factors Associated With Mortality, Morbidity and Prognosis in Dementia Patients
ClinicalTrials.gov study NCT05052450. IPD Sharing: NO. Countries: 0. Publications: 1.
Factors Influencing Hemoglobin Variability and Its Association With Mortality in Hemodialysis Patients
ClinicalTrials.gov study NCT03454906. IPD Sharing: NO. Countries: 0. Publications: 1.
Risk Factors of Mortality in Neonatal Pneumonia
ClinicalTrials.gov study NCT06599125. IPD Sharing: Not stated. Countries: 0. Publications: 3.
Factors associated with COVID-19 infections and mortality in Africa: A cross-sectional study using publicly available data
Open the record for dataset details and reuse information.
Data from: Lower education level is a risk factor for peritonitis and technique failure but not a risk for overall mortality in peritoneal dialysis under comprehensive training system
Open the record for dataset details and reuse information.
Risk Factors of Postoperative Acute Kidney Injury and Mortality Among Hospitalized Patients Undergoing Major Surgery
ClinicalTrials.gov study NCT07136194. IPD Sharing: NO. Countries: 1. Publications: 0.
Coronary Heart Disease Incidence, Mortality, and Risk Factor Relationships
ClinicalTrials.gov study NCT00005148. IPD Sharing: Not stated. Countries: 0. Publications: 32.
Long Term Outcome in ICU Treated COVID-19: Risk Factors for 1-year Mortality
ClinicalTrials.gov study NCT05063747. IPD Sharing: NO. Countries: 1. Publications: 0.
Retrospective Analysis Assessing Clinical Risk Factors for Cardiovascular Events and Mortality and Development of a Risk Calculator in Chronic Kidney Disease Stage 5 on Dialysis
ClinicalTrials.gov study NCT04042350. IPD Sharing: NO. Countries: 1. Publications: 0.
Impact of Fibroblast Growth Factor 23 (FGF-23) and Serum Phosphate on Allograft Function and Mortality in Kidney Allograft Recipients
ClinicalTrials.gov study NCT00903578. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Risk Factors for COVID-19 Mortality
ClinicalTrials.gov study NCT04786808. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Clinical Frailty Scale (CFS) as a Risk Factor of Mortality in Adult Patients ≤65 Years of Age Admitted to Intensive Care for Septic Shock.
ClinicalTrials.gov study NCT05928767. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Is Precariousness a Risk Factor for COVID-19 Mortality in Intensive Care?
ClinicalTrials.gov study NCT04896944. IPD Sharing: YES. Countries: 1. Publications: 0.
Factors Contributing To Cardiovascular Morbidity and Mortality in Patients With Gastrointestinal Bleeding
ClinicalTrials.gov study NCT00401908. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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