scholarly journals Rise in mortality involving poisoning by medicaments other than narcotics, including poisoning by psychotropic drugs in different age/racial groups in the US

2019 ◽  
Author(s):  
Edward Goldstein
Keyword(s):  
Native Americans ◽  
Psychotropic Drugs ◽  
Causes Of Death ◽  
Age Groups ◽  
Epidemiological Data ◽  
Psychotropic Medications ◽  
Racial Groups ◽  
The Us ◽  
Icd 10 ◽  
The Impact

AbstractBackgroundIncrease in mortality involving poisoning, particularly by narcotics, is known to have been one of the factors that affected life expectancy in the US during the last two decades, especially for white Americans and Native Americans. However, the contribution of medicaments other than narcotics to mortality in different racial/age groups is less studied.MethodsWe regressed annual rates of mortality involving poisoning by medicaments but not narcotics/psychodysleptics (ICD-10 codes T36-39.xx or T41-50.8 but not T40.xx present as either underlying or contributing causes of death), as well as annual rates of mortality for certain subcategories of the above, including mortality involving poisoning by psychotropic drugs but not narcotics/psychodysleptics (ICD-10 codes T43.xx but not T40.xx present as either underlying or contributing causes of death) in different age/racial groups for both the 2000-2011 period and the 2011-2017 period against calendar year.ResultsAnnual numbers of deaths involving poisoning by medicaments but not narcotics/psychodysleptics grew from 4,332 between 2000-2001 to 11,401 between 2016-2017, with the growth in the rates of those deaths being higher for the 2011-2017 period compared to the 2000-2011 period. The largest increases in the rates of mortality involving poisoning by medicaments but not narcotics/psychodysleptics were in non-elderly Non-Hispanic Native Americans, followed by Non-Hispanic whites. Most of those increases came from increases in the rates of mortality involving poisoning by psychotropic medications; the latter rates grew for the period of 2015-2017 vs. 2000-2002 by factors ranging from 2.75 for ages 35-44y to 5.37 for ages 55-64y.ConclusionsThere were major increases in mortality involving poisoning by non-narcotic, particularly psychotropic medicaments, especially in non-elderly non-Hispanic whites and Native Americans. Our results, and the epidemiological data on mortality involving poisoning by different drugs and medications in the US, which are quite different from the ones in many other countries support the need for a comprehensive evaluation of the effect of various drugs, including psychotropic medications on health-related outcomes, the associated mortality the does not involve poisoning being listed on a death certificate, and the impact of medication misuse.

scholarly journals The decomposition of life expectancy for age and cause of death in Tuscany, Italy

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
N Nante ◽  
L Kundisova ◽  
F Gori ◽  
A Martini ◽  
F Battisti ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Causes Of Death ◽  
National Level ◽  
Age Groups ◽  
Resistant Bacteria ◽  
Mortality Data ◽  
Life Expectancy At Birth ◽  
Icd 10 ◽  
Reduction Of Mortality ◽  
The Impact

Abstract Introduction Changing of life expectancy at birth (LE) over time reflects variations of mortality rates of a certain population. Italy is amongst the countries with the highest LE, Tuscany ranks fifth at the national level. The aim of the present work was to evaluate the impact of various causes of death in different age groups on the change in LE in the Tuscany region (Italy) during period 1987-2015. Material and methods Mortality data relative to residents that died during the period between 1987/1989 and 2013/2015 were provided by the Tuscan Regional Mortality Registry. The causes of death taken into consideration were cardiovascular (CVS), respiratory (RESP) and infective (INF) diseases and cancer (TUM). The decomposition of LE gain was realized with software Epidat, using the Pollard’s method. Results The overall LE gain during the period between two three-years periods was 6.7 years for males, with a major gain between 65-89, and 4.5 years for females, mainly improved between 75-89, <1 year for both sexes. The major gain (2.6 years) was attributable to the reduction of mortality for CVS, followed by TUM (1.76 in males and 0.83 in females) and RESP (0.4 in males; 0.1 in females). The major loss of years of LE was attributable to INF (-0.15 in females; -0.07 in males) and lung cancer in females (-0.13), for which the opposite result was observed for males (gain of 0.62 years of LE). Conclusions During the study period (1987-2015) the gain in LE was major for males. To the reduction of mortality for CVS have contributed to the tempestuous treatment of acute CVS events and secondary CVS prevention. For TUM the result is attributable to the adherence of population to oncologic screening programmes. The excess of mortality for INF that lead to the loss of LE can be attributed to the passage from ICD-9 to ICD-10 in 2003 (higher sensibility of ICD-10) and to the diffusion of multi-drug resistant bacteria, which lead to elevated mortality in these years. Key messages The gain in LE during the period the 1987-2015 was higher in males. The major contribution to gain in LE was due to a reduction of mortality for CVS diseases.

scholarly journals Prescribing of different antibiotics, rates of bacteremia/septicemia and associated mortality in the US and England, and the utility of antibiotic replacement vs. reduction in prescribing

2019 ◽  
Author(s):  
Edward Goldstein
Keyword(s):  
Bacterial Infections ◽  
Age Groups ◽  
Epidemiological Data ◽  
Antibiotic Use ◽  
Outpatient Setting ◽  
Antibiotic Prescribing ◽  
Limited Information ◽  
E Coli ◽  
The Us ◽  
Icd 10

AbstractBackgroundAntibiotic use contributes to the rates of bacteremia, sepsis and associated mortality, particularly through lack of clearance of resistant infections following antibiotic treatment. At the same time, there is limited information on the effects of prescribing of some antibiotics vs. others, of antibiotic replacement and of reduction in prescribing on the rates of severe outcomes associated with bacterial infections.MethodsFor each of several antibiotic types/classes, we looked at associations (univariate, and multivariable for the US data) between the proportions (state-specific in the US, Clinical Commissioning Group (CCG)-specific in England) of a given antibiotic type/class among all prescribed antibiotics in the outpatient setting, and rates of outcomes (mortality with septicemia, ICD-10 codes A40-41 present on the death certificate in different age groups of adults in the US, and E. coli or MSSA bacteremia in England) per unit of antibiotic prescribing (defined as the rate of outcome divided by the rate of prescribing of all antibiotics).ResultsIn the US, prescribing of penicillins was positively associated with rates of mortality with septicemia for persons aged 75-84y and 85+y between 2014-2015, while multivariable analyses also suggest an association between the percent of individuals aged 50-64y lacking health insurance, as well as the percent of individuals aged 65-84y who are African-American and rates of mortality with septicemia. In England, prescribing of penicillins other than amoxicillin/co-amoxiclav was positively associated with rates of both MSSA and E. coli bacteremia for the period between financial years 2014/15 through 2017/18. Additionally, as time progressed, correlations between prescribing for both trimethoprim and co-amoxiclav and rates of bacteremia in England decreased, while correlations between amoxicillin prescribing and rates of bacteremia increased.ConclusionsOur results suggest that prescribing of penicillins is associated with rates of E. coli and MSSA bacteremia in England, and rates of mortality with septicemia in older US adults, which agrees with our earlier findings. Those results, as well as the related epidemiological data suggest that antibiotic replacement rather than reduction in prescribing may be the more effective mechanism for reducing the rates of severe bacterial infections.

scholarly journals Garbage codes as causes of death and quality of mortality statistics in Belo Horizonte, Brazil

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Ishitani ◽  
R Teixeira ◽  
D Abreu ◽  
L Paixão ◽  
E França
Keyword(s):  
Causes Of Death ◽  
Health Planning ◽  
Age Groups ◽  
International Classification Of Diseases ◽  
Mortality Statistics ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Hospital Deaths ◽  
Belo Horizonte

Abstract Background Quality of cause-of-death information is fundamental for health planning. Traditionally, this quality has been assessed by the analysis of ill-defined causes from chapter XVIII of the International Classification of Diseases - 10th revision (ICD-10). However, studies have considered other useless diagnoses for public health purposes, defined, in conjunction with ill-defined causes, as garbage codes (GC). In Brazil, despite the high completeness of the Mortality Information System, approximately 30% of deaths are attributable to GCs. This study aims to analyze the frequency of GCs in Belo Horizonte municipality, the capital of Minas Gerais state, Brazil. Methods Data of deaths from 2011 to 2013 in Belo Horizonte were analyzed. GCs were classified according to the GBD 2015 study list. These codes were classified in: a) GCs from chapter XVIII of ICD-10 (GC-R), and b) GC from other chapters of ICD-10 (GC-nonR). Proportions of GC were calculated by sex, age, and place of occurrence. Results In Belo Horizonte, from the total of 44,123 deaths, 5.5% were classified as GC-R. The majority of GCs were GC-nonR (25% of total deaths). We observed a higher proportion of GC in children (1 to 4 years) and in people aged over 60 years. GC proportion was also higher in females, except in the age-groups under 1 year and 30-59 years. Home deaths (n = 7,760) had higher proportions of GCs compared with hospital deaths (n = 30,182), 36.9% and 28.7%, respectively. The leading GCs were the GC-R other ill-defined and unspecified causes of death (ICD-10 code R99)), and the GCs-nonR unspecified pneumonia (J18.9), unspecified stroke (I64), and unspecified septicemia (A41.9). Conclusions Analysis of GCs is essential to evaluate the quality of mortality information. Key messages Analysis of ill-defined causes (GC-R) is not sufficient to evaluate the quality of information on causes of death. Causes of death analysis should consider the total GC, in order to advance the discussion and promote adequate intervention on the quality of mortality statistics.

scholarly journals Excess mortality in Guadeloupe and Martinique, islands of the French West Indies, during the chikungunya epidemic of 2014

2018 ◽  
Vol 146 (16) ◽  
pp. 2059-2065 ◽  
Author(s):  
A. R. R. Freitas ◽  
P. M. Alarcón-Elbal ◽  
M. R. Donalisio
Keyword(s):  
Strong Correlation ◽  
Excess Mortality ◽  
Pearson Correlation ◽  
Age Groups ◽  
Epidemiological Data ◽  
Mortality Data ◽  
Surveillance Systems ◽  
Mortality And Morbidity ◽  
The Impact ◽  
Excess Deaths

AbstractIn some chikungunya epidemics, deaths are not completely captured by traditional surveillance systems, which record case and death reports. We evaluated excess deaths associated with the 2014 chikungunya virus (CHIKV) epidemic in Guadeloupe and Martinique, Antilles. Population (784 097 inhabitants) and mortality data, estimated by sex and age, were accessed from the Institut National de la Statistique et des Études Économiques in France. Epidemiological data, cases, hospitalisations and deaths on CHIKV were obtained from the official epidemiological reports of the Cellule de Institut de Veille Sanitaire in France. Excess deaths were calculated as the difference between the expected and observed deaths for all age groups for each month in 2014 and 2015, considering the upper limit of 99% confidence interval. The Pearson correlation coefficient showed a strong correlation between monthly excess deaths and reported cases of chikungunya (R= 0.81,p< 0.005) and with a 1-month lag (R= 0.87,p< 0.001); and a strong correlation was also observed between monthly rates of hospitalisation for CHIKV and excess deaths with a delay of 1 month (R= 0.87,p< 0.0005). The peak of the epidemic occurred in the month with the highest mortality, returning to normal soon after the end of the CHIKV epidemic. There were excess deaths in almost all age groups, and excess mortality rate was higher among the elderly but was similar between male and female individuals. The overall mortality estimated in the current study (639 deaths) was about four times greater than that obtained through death declarations (160 deaths). Although the aetiological diagnosis of all deaths associated with CHIKV infection is not always possible, already well-known statistical tools can contribute to the evaluation of the impact of CHIKV on mortality and morbidity in the different age groups.

Prescribing of different antibiotics, rates of sepsis-related mortality and bacteremia in the US and England, and the utility of antibiotic replacement vs. reduction in prescribing: a cross-sectional study

2019 ◽  
Author(s):  
Edward Goldstein
Keyword(s):  
Bacterial Infections ◽  
Multivariable Analysis ◽  
Age Groups ◽  
Epidemiological Data ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Limited Information ◽  
Cross Sectional ◽  
E Coli ◽  
The Us

Abstract Background Antibiotic use contributes to the rates of bacteremia, sepsis and associated mortality, particularly through lack of clearance of resistant infections following antibiotic treatment. At the same time, there is limited information on the effects of prescribing of some antibiotics vs. others on the rates of outcomes related to severe bacterial infections. Methods We looked at associations between the proportions (state-specific in the US; Clinical Commissioning Group (CCG)-specific in England) of different antibiotic types/classes among all prescribed antibiotics in the outpatient setting (oral antibiotics in the US), and rates of outcomes (mortality with sepsis, ICD-10 codes A40-41 present as either underlying or contributing causes of death on a death certificate in different age groups of US adults; E. coli as well as MSSA bacteremia in England) per unit of antibiotic prescribing (defined as the rate of outcome divided by the rate of outpatient prescribing of all antibiotics). Results In the US, prescribing of penicillins was associated with rates of mortality with sepsis for persons aged 75-84y and 85+y between 2014-2015. In England, prescribing of penicillins other than amoxicillin/co-amoxiclav was associated with rates of both MSSA and E. coli bacteremia for the period between financial years 2014/15 through 2017/18. Additionally, multivariable analysis for the US data has also shown an association between the percent of individuals aged 50-64y lacking health insurance, as well as the percent of individuals aged 65-84y who are African-American and rates of mortality with sepsis in the corresponding age groups. Conclusions Our results suggest that prescribing of penicillins is associated with rates of E. coli and MSSA bacteremia in England, and rates of mortality with sepsis in older US adults. Those results, as well as the related epidemiological data suggest that replacement of certain antibiotics, particularly penicillins in the treatment of certain syndromes should be considered for reducing the rates of outcomes related to severe bacterial infections.

scholarly journals Data Talks: Obesity-Related Influences on US Mortality Rates

2018 ◽  
Vol 3 (3) ◽  
pp. 65 ◽  
Author(s):  
Malcolm J. D’Souza ◽  
Riza C. Bautista ◽  
Derald E. Wentzien
Keyword(s):  
Death Certificate ◽  
Age Groups ◽  
Mortality Rates ◽  
Overweight And Obesity ◽  
Public Health Issue ◽  
Minority Population ◽  
Death Rates ◽  
Age Related ◽  
The Us ◽  
Icd 10

<p><strong><em>Background: </em></strong><em>In the US,<strong> </strong>obesity is an epidemiologic challenge and the population fails to comprehend this complex public health issue. To evaluate underlying obesity-impact patterns on mortality rates, we data-mined the 1999-2016 Center for Disease Control WONDER database’s vital records.</em></p><p><strong><em>Methods: </em></strong><em>Adopting<strong> </strong>SAS<strong> </strong>programming, we scrutinized the mortality and population counts. Using ICD-10 diagnosis codes connected to overweight and obesity, we obtained the obesity-related crude and age-adjusted causes of death. To understand divergent and prevalence trends we compared and contrasted the tabulated obesity-influenced mortality rates with demographic information, gender, and age-related data.</em></p><p><strong><em>Key Results: </em></strong><em>From 1999 to 2016, the obesity-related age-adjusted mortality rates increased by 142%. The ICD-10 overweight and obesity-related death-certificate coding showed clear evidence that obesity factored in the male age-adjusted mortality rate increment to 173% and the corresponding female rate to 117%. It also disproportionately affected the nation-wide minority population death rates. Furthermore, excess weight distributions are coded as contributing features in the crude death rates for all decennial age-groups.</em></p><p><strong><em>Conclusions:</em></strong><em> The 1999-2016 data from ICD-10 death certificate coding for obesity-related conditions indicate that it is affecting all segments of the US population.</em></p>

scholarly journals Epidemiology of Childhood Hyperthyroidism in France: A Nationwide Population-Based Study

2018 ◽  
Vol 103 (8) ◽  
pp. 2980-2987 ◽  
Author(s):  
Marie Simon ◽  
Annabel Rigou ◽  
Joëlle Le Moal ◽  
Abdelkrim Zeghnoun ◽  
Alain Le Tertre ◽  
...  
Keyword(s):  
Age Groups ◽  
Poisson Model ◽  
Epidemiological Data ◽  
Epidemiological Survey ◽  
Population Based ◽  
Antithyroid Drugs ◽  
Childhood And Adolescence ◽  
Age Group ◽  
Cross Sectional ◽  
The Impact

Abstract Context Hyperthyroidism affects all age groups, but epidemiological data for children are scarce. Objective To perform a nationwide epidemiological survey of hyperthyroidism in children and adolescents. Design A cross-sectional descriptive study. Setting Identification of entries corresponding to reimbursements for antithyroid drugs in the French national insurance database. Participants All cases of childhood hyperthyroidism (6 months to 17 years of age) in 2015. Main Outcome Measures National incidence rate estimated with a nonlinear Poisson model and spatial distribution of cases. Results A total of 670 cases of childhood hyperthyroidism were identified. Twenty patients (3%) had associated autoimmune or genetic disease, with type 1 diabetes and Down syndrome the most frequent. The annual incidence for 2015 was 4.58/100,000 person-years (95% CI 3.00 to 6.99/100,000). Incidence increased with age, in both sexes. This increase accelerated after the age of 8 in girls and 10 in boys and was stronger in girls. About 10% of patients were affected before the age of 5 years (sex ratio 1.43). There was an interaction between age and sex, the effect of being female increasing with age: girls were 3.2 times more likely to be affected than boys in the 10 to 14 years age group and 5.7 times more likely to be affected in the 15 to 17 years age group. No conclusions about spatial pattern emerged. Conclusion These findings shed light on the incidence of hyperthyroidism and the impact of sex on this incidence during childhood and adolescence. The observed incidence was higher than expected from the results published for earlier studies in Northern European countries.

scholarly journals Neurological diseases in Peru: a systematic analysis of the global burden disease study

2020 ◽  
Vol 78 (5) ◽  
pp. 282-289
Author(s):  
Carlos ALVA-DÍAZ ◽  
Andrely HUERTA-ROSARIO ◽  
Kevin PACHECO-BARRIOS ◽  
Roberto A. MOLINA ◽  
Alba NAVARRO-FLORES ◽  
...  
Keyword(s):  
Disease Burden ◽  
Neurological Diseases ◽  
Age Groups ◽  
Epidemiological Data ◽  
Global Burden ◽  
Years Of Life Lost ◽  
Systematic Analysis ◽  
Life Years ◽  
Disease Study ◽  
The Impact

ABSTRACT Background: Disease burden indicators assess the impact of disease on a population. They integrate mortality and disability in a single indicator. This allows setting priorities for health services and focusing resources. Objective: To analyze the burden of neurological diseases in Peru from 1990-2015. Methods: A descriptive study that used the epidemiological data published by the Institute for Health Metrics and Evaluation of Global Burden of Diseases from 1990 to 2015. Disease burden was measured using disability-adjusted life years (DALY) and their corresponding 95% uncertainty intervals (UIs), which results from the addition of the years of life lost (YLL) and years lived with disability (YLD). Results: The burden of neurological diseases in Peru were 9.06 and 10.65%, in 1990 and 2015, respectively. In 2015, the main causes were migraine, cerebrovascular disease (CVD), neonatal encephalopathy (NE), and Alzheimer’s disease and other dementias (ADD). This last group and nervous system cancer (NSC) increased 157 and 183% of DALY compared to 1990, respectively. Young population (25 to 44 years old) and older (>85 years old) were the age groups with the highest DALY. The neurological diseases produced 11.06 and 10.02% of the national YLL (CVD as the leading cause) and YLD (migraine as the main cause), respectively. Conclusion: The burden of disease (BD) increased by 1.6% from 1990 to 2015. The main causes were migraine, CVD, and NE. ADD and NSC doubled the DALY in this period. These diseases represent a significant cause of disability attributable to the increase in the life expectancy of our population among other factors. Priority actions should be taken to prevent and treat these causes.

scholarly journals Helminths in South Africa: management of cestode and trematode infections in humans

2020 ◽  
pp. 33-38
Author(s):  
RL van Zyl
Keyword(s):  
South Africa ◽  
South African ◽  
Age Groups ◽  
Signs And Symptoms ◽  
Epidemiological Data ◽  
Sub Saharan Africa ◽  
The South ◽  
Increased Risk ◽  
Sub Saharan ◽  
The Impact

Sub-Saharan Africa has to contend with many challenges, including inadequate healthcare systems, lack of optimal sanitation, and clean water and food. All of these contribute to malnutrition and an increased risk of infections, including parasitism by cestodes and trematodes. Schistosomiasis is a category-2 notifiable trematode (fluke) infection, whereas cestode (tapeworm) infections need not be reported to the South African Department of Health. Epidemiological data for helminthiasis in South Africa is scant, with a paucity of publications on the South African scenario. As such, a complete picture of the impact of helminth infections on all age groups in South Africa does not exist. These parasitic diseases not only have an impact on socio economic development of a country, community and families, but also contribute to the chronic and detrimental effects on the health and nutritional status of the host, including the impaired development of children. In order to break the cycle of poverty and disease, a strong education drive is required in schools and communities to provide effective strategies and guidelines on preventative measures that result in avoidance of exposure to infective stages of Schistosoma and Taenia tapeworms. Also, it is imperative that healthcare professionals are able to recognise the signs and symptoms, so that interventions can be promptly initiated. The current anthelmintic treatments available in South Africa are effective against cestodes and trematodes, with no drug resistance having being reported. The need for compliancy when taking anthelmintic drugs must be emphasised.

scholarly journals The impact of Hurricane Maria on out-migration from Puerto Rico: Evidence from Facebook data

2019 ◽  
Author(s):  
Monica Alexander ◽  
Emilio Zagheni ◽  
Kivan Polimis
Keyword(s):  
New York ◽  
Puerto Rico ◽  
Return Migration ◽  
Age Groups ◽  
Population Characteristics ◽  
Population Movements ◽  
Demographic Indicators ◽  
Migration Data ◽  
The Us ◽  
The Impact

Natural disasters such as hurricanes can cause substantial population out-migration. However, the magnitude of population movements is difficult to estimate using only traditional sources of migration data. We utilize data obtained from Facebook's advertising platform to estimate out-migration from Puerto Rico in the months after Hurricane Maria. We find evidence to indicate a 17.0% increase in the number of Puerto Rican migrants present in the US over the period October 2017 to January 2018. States with the biggest increases were Florida, New York and Pennsylvania, and there were disproportionately larger increases in the 15-30 age groups and for men compared to women. Additionally, we find evidence of subsequent return migration to Puerto Rico over the period January 2018 to March 2018. These results illustrate the power of complementing social media and traditional data to monitor demographic indicators over time, particularly after a shock, such as a natural disaster, to understand large changes in population characteristics.

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