scholarly journals A survey of naturally occurring diseases of the Syrian hamster

1975 ◽  
Vol 9 (3) ◽  
pp. 179-191 ◽  
Author(s):  
Harland W. Renshaw ◽  
G. L. Van Hoosier ◽  
Norine K. Amend
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Age Groups ◽  
The United States ◽  
Mortality Rates ◽  
Survey Respondent ◽  
Relative Importance ◽  
Review Of The Literature ◽  
Research Activities ◽  
Naturally Occurring

Questionnaires on research activities, mortality rates observed in various age groups, extent of examination of dead hamsters, and natural disease conditions and their relative importance were returned by 24 of 43 organisations surveyed in the United States. The average preweaning mortality rate due to all causes was 11·9%. Comparative data from 6 organisations that raised 87880 hamsters in the calendar year 1971 indicated that 97·5% of total preweaning mortality was due to cannibalism. 13·7% of all animals died before use for experiments. 'Wet-tail' was the most frequently recognized disease (71%), and it was also listed as the most important. Pneumonia was recognized by 43% of the respondents and was most commonly listed as second in importance. A selective review of the literature is presented on those diseases recognized by more than one survey respondent.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

Abstract 15: Trends in Atrial Fibrillation-related Cardiovascular Mortality Rates in The United States: 1999-2017

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Yoshihiro Tanaka ◽  
Nilay Shah ◽  
Rod Passman ◽  
Philip Greenland ◽  
Sadiya Khan
Keyword(s):  
United States ◽  
Atrial Fibrillation ◽  
Black Men ◽  
Cause Of Death ◽  
Age Groups ◽  
White Men ◽  
The United States ◽  
Mortality Rates ◽  
Men And Women ◽  
Black And White

Background: Atrial fibrillation (AF) is the most common sustained arrhythmia in adults and the prevalence is increasing due to the aging of the population and the growing burden of vascular risk factors. Although deaths due to cardiovascular disease (CVD) death have dramatically decreased in recent years, trends in AF-related CVD death has not been previously investigated. Purpose: We sought to quantify trends in AF-related CVD death rates in the United States. Methods: AF-related CVD death was ascertained using the CDC WONDER online database. AF-related CVD deaths were identified by listing CVD (I00-I78) as underlying cause of death and AF (I48) as contributing cause of death among persons aged 35 to 84 years. We calculated age-adjusted mortality rates (AAMR) per 100,000 population, and examined trends over time estimating average annual percent change (AAPC) using Joinpoint Regression Program (National Cancer Institute). Subgroup analyses were performed to compare AAMRs by sex-race (black and white men and women) and across two age groups (younger: 35-64 years, older 65-84 years). Results: A total of 522,104 AF-related CVD deaths were identified between 1999 and 2017. AAMR increased from 16.0 to 22.2 per 100,000 from 1999 to 2017 with an acceleration following an inflection point in 2009. AAPC before 2009 was significantly lower than that after 2009 [0.4% (95% CI, 0.0 - 0.7) vs 3.5% (95% CI, 3.1 - 3.9), p < 0.001). The increase of AAMR was observed across black and white men and women overall and in both age groups (FIGURE), with a more pronounced increase in black men and white men. Black men had the highest AAMR among the younger decedents, whereas white men had the highest AAMR among the older decedents. Conclusion: This study revealed that death rate for AF-related CVD has increased over the last two decades and that there are greater black-white disparities in younger decedents (<65 years). Targeting equitable risk factor reduction that predisposes to AF and CVD mortality is needed to reduce observed health inequities.

Craniotomy for Resection of Pediatric Brain Tumors in the United States, 1988 to 2000: Effects of Provider Caseloads and Progressive Centralization and Specialization of Care

Neurosurgery ◽  
2004 ◽  
Vol 54 (3) ◽  
pp. 553-565 ◽  
Author(s):  
Edward R. Smith ◽  
William E. Butler ◽  
Fred G. Barker
Keyword(s):  
United States ◽  
Brain Tumor ◽  
Mortality Rate ◽  
Multivariate Analyses ◽  
Pediatric Brain Tumor ◽  
High Volume ◽  
The United States ◽  
Mortality Rates ◽  
Discharge Disposition ◽  
Pediatric Brain

Abstract OBJECTIVE Large provider caseloads are associated with better patient outcomes after many complex surgical procedures. Mortality rates for pediatric brain tumor surgery in various practice settings have not been described. We used a national hospital discharge database to study the volume-outcome relationship for craniotomy performed for pediatric brain tumor resection, as well as trends toward centralization and specialization. METHODS We conducted a cross sectional and longitudinal cohort study using Nationwide Inpatient Sample data for 1988 to 2000 (Agency for Healthcare Research and Quality, Rockville, MD). Multivariate analyses adjusted for age, sex, geographic region, admission type (emergency, urgent, or elective), tumor location, and malignancy. RESULTS We analyzed 4712 admissions (329 hospitals, 480 identified surgeons) for pediatric brain tumor craniotomy. The in-hospital mortality rate was 1.6% and decreased from 2.7% (in 1988–1990) to 1.2% (in 1997–2000) during the study period. On a per-patient basis, median annual caseloads were 11 for hospitals (range, 1–59 cases) and 6 for surgeons (range, 1–32 cases). In multivariate analyses, the mortality rate was significantly lower at high-volume hospitals than at low-volume hospitals (odds ratio, 0.52 for 10-fold larger caseload; 95% confidence interval, 0.28–0.94; P = 0.03). The mortality rate was 2.3% at the lowest-volume-quartile hospitals (4 or fewer admissions annually), compared with 1.4% at the highest-volume-quartile hospitals (more than 20 admissions annually). There was a trend toward lower mortality rates after surgery performed by high-volume surgeons (P = 0.16). Adverse hospital discharge disposition was less likely to be associated with high-volume hospitals (P &lt; 0.001) and high-volume surgeons (P = 0.004). Length of stay and hospital charges were minimally related to hospital caseloads. Approximately 5% of United States hospitals performed pediatric brain tumor craniotomy during this period. The burden of care shifted toward large-caseload hospitals, teaching hospitals, and surgeons whose practices included predominantly pediatric patients, indicating progressive centralization and specialization. CONCLUSION Mortality and adverse discharge disposition rates for pediatric brain tumor craniotomy were lower when the procedure was performed at high-volume hospitals and by high-volume surgeons in the United States, from 1988 to 2000. There were trends toward lower mortality rates, greater centralization of surgery, and more specialization among surgeons during this period.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Neighborhood Features

2020 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

AbstractWhat is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?BackgroundFollowing a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking. We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.MethodsSatellite images were extracted with the Google Static Maps application programming interface for 430 counties representing approximately 68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.ResultsPredicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r=0.72). Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race and age. Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g. sidewalks, driveways and hiking trails) associated with lower mortality.ConclusionsThe application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

scholarly journals Trends in Premature Mortality From Acute Myocardial Infarction in the United States, 1999 to 2019

2021 ◽  
Author(s):  
Sourbha S. Dani ◽  
Ahmad N. Lone ◽  
Zulqarnain Javed ◽  
Muhammad S. Khan ◽  
Muhammad Zia Khan ◽  
...  
Keyword(s):  
United States ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Mortality Rate ◽  
The United States ◽  
Mortality Rates ◽  
Percentage Change ◽  
Annual Percentage Change ◽  
Rural Counties ◽  
Average Annual Percentage Change

Background Evaluating premature (<65 years of age) mortality because of acute myocardial infarction (AMI) by demographic and regional characteristics may inform public health interventions. Methods and Results We used the Centers for Disease Control and Prevention’s WONDER (Wide‐Ranging Online Data for Epidemiologic Research) death certificate database to examine premature (<65 years of age) age‐adjusted AMI mortality rates per 100 000 and average annual percentage change from 1999 to 2019. Overall, the age‐adjusted AMI mortality rate was 13.4 (95% CI, 13.3–13.5). Middle‐aged adults, men, non‐Hispanic Black adults, and rural counties had higher mortality than young adults, women, NH White adults, and urban counties, respectively. Between 1999 and 2019, the age‐adjusted AMI mortality rate decreased at an average annual percentage change of −3.4 per year (95% CI, −3.6 to −3.3), with the average annual percentage change showing higher decline in age‐adjusted AMI mortality rates among large (−4.2 per year [95% CI, −4.4 to −4.0]), and medium/small metros (−3.3 per year [95% CI, −3.5 to −3.1]) than rural counties (−2.4 per year [95% CI, −2.8 to −1.9]). Age‐adjusted AMI mortality rates >90th percentile were distributed in the Southern states, and those with mortality <10th percentile were clustered in the Western and Northeastern states. After an initial decline between 1999 and 2011 (−4.3 per year [95% CI, −4.6 to −4.1]), the average annual percentage change showed deceleration in mortality since 2011 (−2.1 per year [95% CI, −2.4 to −1.8]). These trends were consistent across both sexes, all ethnicities and races, and urban/rural counties. Conclusions During the past 20 years, decline in premature AMI mortality has slowed down in the United States since 2011, with considerable heterogeneity across demographic groups, states, and urbanicity. Systemic efforts are mandated to address cardiovascular health disparities and outcomes among nonelderly adults.

The Impact of BMI on Adult Blunt Trauma Outcomes

2019 ◽  
Vol 85 (12) ◽  
pp. 1354-1362
Author(s):  
Rahman Barry ◽  
Milad Modarresi ◽  
Rodrigo Aguilar ◽  
Jacqueline Sanabria ◽  
Thao Wolbert ◽  
...  
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Length Of Stay ◽  
Blunt Trauma ◽  
Nationwide Inpatient Sample ◽  
The United States ◽  
Mortality Rates ◽  
Hospital Length Of Stay ◽  
Obese Patients ◽  
The Impact

Traumatic injuries account for 10% of all mortalities in the United States. Globally, it is estimated that by the year 2030, 2.2 billion people will be overweight (BMI ≥ 25) and 1.1 billion people will be obese (BMI ≥ 30). Obesity is a known risk factor for suboptimal outcomes in trauma; however, the extent of this impact after blunt trauma remains to be determined. The incidence, prevalence, and mortality rates from blunt trauma by age, gender, cause, BMI, year, and geography were abstracted using datasets from 1) the Global Burden of Disease group 2) the United States Nationwide Inpatient Sample databank 3) two regional Level II trauma centers. Statistical analyses, correlations, and comparisons were made on a global, national, and state level using these databases to determine the impact of BMI on blunt trauma. The incidence of blunt trauma secondary to falls increased at global, national, and state levels during our study period from 1990 to 2015, with a corresponding increase in BMI at all levels ( P < 0.05). Mortality due to fall injuries was higher in obese patients at all levels ( P < 0.05). Analysis from Nationwide Inpatient Sample database demonstrated higher mortality rates for obese patients nationally, both after motor vehicle collisions and mechanical falls ( P < 0.05). In obese and nonobese patients, regional data demonstrated a higher blunt trauma mortality rate of 2.4% versus 1.2%, respectively ( P < 0.05) and a longer hospital length of stay of 4.13 versus 3.26 days, respectively ( P = 0.018). The obesity rate and incidence of blunt trauma secondary to falls are increasing, with a higher mortality rate and longer length of stay in obese blunt trauma patients.

Epidemiology and primary prevention of feeding and eating disorders

2020 ◽  
pp. 1059-1064
Author(s):  
Katherine A. Halmi
Keyword(s):  
United States ◽  
Risk Factors ◽  
Eating Disorder ◽  
Mortality Rate ◽  
Age Groups ◽  
The United States ◽  
Lifetime Prevalence ◽  
The Past ◽  
Prevention Programmes ◽  
Standardized Mortality Rate

In the past 20 years, the incidence of anorexia nervosa (AN) in industrialized countries has remained stable at 4.2–7.7 new cases per 100,000 per year. During this period, the incidence of bulimia nervosa (BN) has decreased from 12.2 to 6.1 per 100,000. The lifetime prevalence of AN in females in the United States in the past decade was 0.9% and 0.3% in males, and that of BN was 0.88% in females and 0.12% in males in a European study. Binge eating disorder (BED) is the most common eating disorder (ED), with a lifetime prevalence of 3.5% in women in the United States and 2.0% in men. AN has the highest standardized mortality rate of 5.86, followed by BN with a standardized mortality rate of 2.29. Less than half of AN patients have a full recovery, compared to two-thirds of BN patients who recover. The prevalence of EDs is increasing in the Middle East and Asian countries, as well as among Latinos, African-Americans, and Asians in the United States. Body dissatisfaction and a family history of ED are consistent risk factors across all EDs. Perfectionism is a greater risk factor for restricting AN and conduct disorders, and substance abuse and sexual abuse are risk factors for BN and BED. ED prevention programmes have mainly targeted at-risk persons in specific age groups and environments. Both Internet-based and group session programmes have reduced ED-related symptoms. There are multiple issues concerning the implementation and maintenance of prevention programmes, including clinician training, costs, attrition rate, and effectiveness over time.

scholarly journals Comparative analysis of mortality from acute forms of ischemic heart disease during a 15-year period in the Russian Federation and the United States and the factors influencing its formation

2017 ◽  
Vol 89 (9) ◽  
pp. 53-59 ◽  
Author(s):  
S A Boytsov ◽  
I V Samorodskaya ◽  
N N Nikulina ◽  
S S Yakushin ◽  
E M Andreev ◽  
...  
Keyword(s):  
United States ◽  
Heart Disease ◽  
Russian Federation ◽  
Age Groups ◽  
The United States ◽  
Mortality Rates ◽  
World Health ◽  
Primary Data ◽  
The Usa ◽  
The Russian Federation

Aim. To comparatively analyze the registered mortality rates from coronary heart disease (CHD) as a whole, as well as myocardial infarction (MI) and other acute forms of CHD during a 15-year period in the Russian Federation (RF, 2000—2014) and the United States of America (USA, 1999-2013). Materials and methods. Primary data were obtained from the database of the RF State Statistics Service, the World Health Organization Mortality Database, Human Mortality Database, then converted into standardized mortality rates and are presented in three age groups (30+, 30-49, and 50+ years old) in men and women separately. Results. The analysis revealed a substantial excess of the registered mortality rates from CHD in the RF versus in the USA, as well as a lower incidence of MI and a higher incidence of other acute CHD forms registered as the cause of death. It also showed considerable differences in the structure of registered types of MI as the cause of mortality. Conclusion. The differences found in the mortality rates from CHD, MI, and other acute forms of CHD in the RF and the USA can be explained by objective (the higher prevalence of cardiovascular risk factors, the higher and earlier incidence of CHD in the RF, as well as differences in the organization of medical care and, as a result, actually higher mortality rates from CHD in Russia) and subjective (differences in approaches to statistically developing a population-based mortality rate, as well as defects in filling out the medical documents and coding the causes of death) factors.

scholarly journals Evolution and current state of global research on paediatric resuscitation: a systematic scientometric analysis

2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Sean S. Scholz ◽  
Rainer Borgstedt ◽  
Leoni C. Menzel ◽  
Sebastian Rehberg ◽  
Gerrit Jansen
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Research Performance ◽  
The United States ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Hirsch Index ◽  
Current State ◽  
High Infant Mortality

Abstract Background Paediatric resuscitation is rare but potentially associated with maximal lifetime reduction. Notably, several nations experience high infant mortality rates even today. To improve clinical outcomes and promote research, detailed analyses on evolution and current state of research on paediatric resuscitation are necessary. Methods Research on paediatric resuscitation published in-between 1900 and 2019 were searched using Web of Science. Metadata were extracted and analyzed based on the science performance evaluation (SciPE) protocol. Research performance was evaluated regarding quality and quantity over time, including comparisons to adult resuscitation. National research performance was related to population, financial capacities, infant mortality rate, collaborations, and authors’ gender. Results Similar to adult resuscitation, research performance on paediatric resuscitation grew exponentially with most original articles being published during the last decade (1106/1896). The absolute number, however, is only 14% compared to adults. The United States dominate global research by contributing the highest number of articles (777), Hirsch-Index (70), and citations (18,863). The most productive collaboration was between the United States and Canada (52). When considering nation’s population and gross domestic product (GDP) rate, Norway is leading regarding population per article (62,467), per Hirsch-Index (223,841), per citation (2226), and per GDP (2.3E-04). Regarding publications per infant mortality rate, efforts of India and Brazil are remarkable. Out of the 100 most frequently publishing researchers, 25% were female. Conclusion Research efforts on paediatric resuscitation have increased but remain underrepresented. Specifically, nations with high infant mortality rates should be integrated by collaborations. Additional efforts are required to overcome gender disparities.

Mortality Rates and Trends in Massachusetts Before 1860

1972 ◽  
Vol 32 (1) ◽  
pp. 184-213 ◽  
Author(s):  
Maris A. Vinovskis
Keyword(s):  
United States ◽  
Nineteenth Century ◽  
Mortality Rate ◽  
The United States ◽  
Mortality Rates ◽  
Mortality Data ◽  
Different Types ◽  
Long Term Trends ◽  
Different Sources

The study of mortality rates and trends in the United States before 1860 has been rather unsystematic to date. Most scholars have been content to estimate the mortality rate at some point in time and only a few serious efforts have been made to ascertain the long-term trends in mortality. Particularly lacking are efforts to relate estimates of mortality in the seventeenth and eighteenth centuries to those of the nineteenth century. In addition, the few studies that have attempted to discuss long-term trends in American mortality have been forced to rely on estimates of mortality gathered from different sources and based on different techniques of analysis. Unfortunately, almost no efforts have been made to estimate possible biases introduced when comparing mortality data from different types of records.

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