Elevated COVID-19 Related Mortality Risk Among Hospitalized Inpatients from Socially Vulnerable Census Tracts

2020 ◽  
Author(s):  
Avnish Sandhu ◽  
Steven J Korzeniewski ◽  
Jordan Polistico ◽  
Harshita Pinnamaneni ◽  
Sushmitha Nanja Reddy ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Census Tracts ◽  
Related Mortality

scholarly journals Identification of Vulnerable Populations and Areas at Higher Risk of COVID-19-Related Mortality during the Early Stage of the Epidemic in the United States

2021 ◽  
Vol 18 (8) ◽  
pp. 4021
Author(s):  
Esteban Correa-Agudelo ◽  
Tesfaye B. Mersha ◽  
Adam J. Branscum ◽  
Neil J. MacKinnon ◽  
Diego F. Cuadros
Keyword(s):  
United States ◽  
Vulnerable Populations ◽  
Mortality Risk ◽  
Early Stage ◽  
The United States ◽  
National Average ◽  
Health Determinants ◽  
White Population ◽  
Latino Population ◽  
Related Mortality

We characterized vulnerable populations located in areas at higher risk of COVID-19-related mortality and low critical healthcare capacity during the early stage of the epidemic in the United States. We analyze data obtained from a Johns Hopkins University COVID-19 database to assess the county-level spatial variation of COVID-19-related mortality risk during the early stage of the epidemic in relation to health determinants and health infrastructure. Overall, we identified highly populated and polluted areas, regional air hub areas, race minorities (non-white population), and Hispanic or Latino population with an increased risk of COVID-19-related death during the first phase of the epidemic. The 10 highest COVID-19 mortality risk areas in highly populated counties had on average a lower proportion of white population (48.0%) and higher proportions of black population (18.7%) and other races (33.3%) compared to the national averages of 83.0%, 9.1%, and 7.9%, respectively. The Hispanic and Latino population proportion was higher in these 10 counties (29.3%, compared to the national average of 9.3%). Counties with major air hubs had a 31% increase in mortality risk compared to counties with no airport connectivity. Sixty-eight percent of the counties with high COVID-19-related mortality risk also had lower critical care capacity than the national average. The disparity in health and environmental risk factors might have exacerbated the COVID-19-related mortality risk in vulnerable groups during the early stage of the epidemic.

scholarly journals Elevated COVID19 mortality risk in detroit area hospitals among patients from census tracts with extreme socioeconomic vulnerability

2021 ◽  
Vol 34 ◽  
pp. 100814
Author(s):  
Avnish Sandhu ◽  
Steven J. Korzeniewski ◽  
Jordan Polistico ◽  
Harshita Pinnamaneni ◽  
Sushmitha Nanja Reddy ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Census Tracts ◽  
Socioeconomic Vulnerability ◽  
Detroit Area

Alcohol-Related Mortality Risk in Natural and Non-Natural Death Cases

2009 ◽  
Vol 54 (6) ◽  
pp. 1429-1432 ◽  
Author(s):  
Klára Törő ◽  
György Dunay ◽  
Kálmán Róna ◽  
Gabriella Klausz ◽  
Szilvia Fehér
Keyword(s):  
Mortality Risk ◽  
Natural Death ◽  
Death Cases ◽  
Related Mortality

scholarly journals The urban built environment and temperature-related mortality risk in a warming climate

2017 ◽  
Vol 1 (8) ◽  
pp. e313
Author(s):  
Michail Zoumakis ◽  
Nikolaos Zoumakis ◽  
Michail Prevezanos
Keyword(s):  
Built Environment ◽  
Mortality Risk ◽  
Warming Climate ◽  
Related Mortality

Type 2 diabetes in patients with end‐stage kidney disease: influence on cardiovascular disease‐related mortality risk

2018 ◽  
Vol 209 (10) ◽  
pp. 440-446 ◽  
Author(s):  
Wai H Lim ◽  
David W Johnson ◽  
Carmel Hawley ◽  
Charmaine Lok ◽  
Kevan R Polkinghorne ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Kidney Disease ◽  
Mortality Risk ◽  
End Stage Kidney Disease ◽  
End Stage ◽  
Related Mortality

scholarly journals Demographic Losses Due To Alcohol-Related Mortality in Lithuania: Results Obtained Through Combining Death Records with the 2011 Population Census Data

2014 ◽  
Vol 53 (1) ◽  
pp. 15-23
Author(s):  
Daumantas Stumbrys ◽  
Domantas Jasilionis ◽  
Dalia Ambrozaitienė ◽  
Vlada Stankūnienė
Keyword(s):  
Marital Status ◽  
Mortality Risk ◽  
Census Data ◽  
Population Data ◽  
Mortality Data ◽  
Population Census ◽  
The Republic ◽  
The Individual ◽  
Education Groups ◽  
Related Mortality

This paper presents the results of a study on sociodemographic mortality differentials in Lithuania based on censuslinked mortality data. Population data come from the individual records of the 2011 Population and Housing Census of the Republic of Lithuania. The results of the research demonstrate that education and marital status are very strong predictors of alcohol-related mortality. Among males aged 30 and older, the alcohol-related mortality risk in non-married groups is up to 3.4 times as high as in the group of married males. The alcohol-related mortality risk in lower-education groups is up to 3.7 times as high as in the group of those with higher education. The findings of the study suggest that the elimination of educational differences would allow avoiding 55.7 %, the elimination of marital status differences – 40.2 %, the elimination of ethnic group differences – 11.1 % of alcohol-related deaths.

scholarly journals Prospective associations between the nutritional quality of foods consumed (graded by the FSAm-NPS underlying the Nutri-Score) and mortality in Europe

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Mélanie Deschasaux ◽  
Inge Huybrechts ◽  
Neil Murphy ◽  
Chantal Julia ◽  
Serge Hercberg ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Mortality Risk ◽  
Nutritional Quality ◽  
Respiratory Diseases ◽  
Food Products ◽  
Food Choices ◽  
Competing Events ◽  
Quality Of Food ◽  
Related Mortality

AbstractIn 2017, 11 million deaths related to non-communicable diseases (NCDs) were attributable to dietary risk factors (GBD, 2019). Helping consumers make healthier food choices hence appears as one key strategy to prevent NCDs-related mortality. To this end, political authorities are considering implementing a simple label to reflect the nutritional quality of food products. The five-colour Nutri-Score label, derived from the Nutrient Profiling System of the British Food Standards Agency (FSAm-NPS), has been chosen by several countries in Europe (France, Belgium, Spain). Yet, its implementation is still voluntary per EU labelling regulation. Scientific evidence is therefore needed regarding the relevance of the FSAm-NPS at the European level. Following on our results showing an increased risk of cancer related to the consumption of foods with a high FSAm-NPS score in the EPIC cohort, our objective is now to focus on NCDs-related mortality. Our prospective analyses included 501,594 adults from the EPIC cohort (1992–2015, median follow-up: 17.2 years). Mortality events occurring < 2 years after recruitment were excluded, leaving 50,743 death events (main causes: cancer, n = 21,971; cerebro/cardiovascular diseases, n = 12,407; respiratory diseases, n = 2,796). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The individual FSAm-NPS Dietary Index (DI) is obtained as an energy-weighted mean of the FSAm-NPS scores of all food items usually consumed by a participant. Cox proportional hazards models adjusted for confounding factors, including personal history of cancer, cardiovascular diseases and diabetes were computed. Fine and Gray models were also tested to take into account competing events for cause-specific mortality analyses. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the diet, was associated with a higher mortality risk overall (HRQ5vs.Q1 = 1.06 [95%CI: 1.02–1.09], P-trend < 0.001) and by cancer (HRQ5vs.Q1 = 1.06 [1.01–1.11], P-trend = 0.003) and respiratory diseases (HRQ5vs.Q1 = 1.33 [1.16–1.52], P-trend < 0.001), with similar results in competing events analyses. Associations with cerebro-/cardiovascular diseases mortality were weaker (HRQ5vs.Q1 = 1.05 [0.98,1.11], P-trend = 0.04) and no longer statistically significant in competing events analyses. In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality of the foods consumed) was associated with a higher mortality risk, supporting the relevance of the FSAm-NPS to grade the nutritional quality of food products for public health applications (e.g, Nutri-Score) aiming to guide the consumers towards healthier food choices.

Comparison of Mortality Risk Associated With Bacteremia Due to Methicillin-Resistant and Methicillin-Susceptible Staphylococcus aureus

2007 ◽  
Vol 28 (3) ◽  
pp. 273-279 ◽  
Author(s):  
Simone Shurland ◽  
Min Zhan ◽  
Douglas D. Bradham ◽  
Mary-Claire Roghmann
Keyword(s):  
Staphylococcus Aureus ◽  
Severe Sepsis ◽  
Relative Risk ◽  
Confidence Interval ◽  
Mortality Risk ◽  
Methicillin Resistance ◽  
Methicillin Resistant ◽  
Mrsa Infection ◽  
Underlying Diseases ◽  
Related Mortality

Objective.To quantify the clinical impact of methicillin-resistance in Staphylococcus aureus causing infection complicated by bacteremia in adult patients, while controlling for the severity of patients' underlying illnesses.Design.Retrospective cohort study from October 1, 1995, through December 31, 2003.Patients and Setting.A total of 438 patients with S. aureus infection complicated by bacteremia from a single Veterans Affairs healthcare system.Results.We found that 193 (44%) of the 438 patients had methicillin-resistant S. aureus (MRSA) infection and 114 (26%) died of causes attributable to S. aureus infection within 90 days after the infection was identified. Patients with MRSA infection had a higher mortality risk, compared with patients with methicillin-susceptible S. aureus (MSSA) infections (relative risk, 1.7 [95% confidence interval, 1.3-2.4]; P < .01), except for patients with pneumonia (relative risk, 0.7 [95% confidence interval, 0.4-1.3]). Patients with MRSA infections were significantly older (P < .01), had more underlying diseases (P = .02), and were more likely to have severe sepsis in response to their infection (P < .01) compared with patients with MSSA bacteremia. Patients who died within 90 days after S. aureus infection was identified were significantly older (P < .01) and more likely to have severe sepsis (P < .01) and pneumonia (P = .01), compared with patients who survived. After adjusting for age as a confounder, comorbidities, and pneumonia as an effect modifier, S. aureus infection-related mortality remained significantly higher in patients with MRSA infection than in those with MSSA infection, among those without pneumonia (hazard ratio, 1.8 [95% confidence interval, 1.2-3.0]); P < .01.Conclusions.The results of this study suggest that patients with MRSA infections other than pneumonia have a higher mortality risk than patients with MSSA infections other than pneumonia, independent of the severity of patients' underlying illnesses.

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