Mortality by Causes of Death in Metropolices of Ukraine

2021 ◽  
pp. 38-59
Author(s):  
N. M. LEVCHUK ◽  
P. E. SHEVCHUK

Large cities concentrate a substantial part of the educated, highly qualified, and economically active populations. Such social “selection” with the peculiarities of lifestyle determines the distinctive characteristics of the level and structure of mortality. Even though data on deaths by causes of death for the large cities are available in Ukraine, very few studies have analyzed cause-specific mortality in these cities. The objective of the study is to make a comparative analysis of mortality from the most influential causes of death in large cities. The novelty lies in the comparative analysis done for Dnipro, Kyiv, Lviv, Odesa, and Kharkiv for the first time. The study uses the direct method of standardization to calculate standardized death rates by sex in 2005-2019. The results indicate lower all-cause mortality rates for the large city residents compared to the corresponding average country-level indicators. Kyiv, Lviv, and Odesa have lower death rates compared to Dnipro and Kharkiv. In Kyiv and Lviv, this is attributed to lower mortality from almost all major causes of death, while in Odesa this mainly resulted from the extremely low ischemic heart disease mortality. Relatively high mortality from circulatory diseases is observed in Kharkiv and Dnipro. However, in Dnipro, this is associated with a high death rate from coronary heart disease and a very low contribution of cerebrovascular disease, whereas in Kharkiv coronary and cerebrovascular disease death rates are quite high. Mortality rates from diseases of the digestive system in the large cities are found to be the closest to the average in Ukraine (except for Lviv). The neoplasms are the only large group of diseases with a mortality rate that exceeds the average level in Ukraine, in particular for women. Overall, the death rates from most of the causes of death in the large cities demonstrated a positive trend in 2005-2019, with some exceptions. External causes and infectious diseases showed the most decrease while mortality from AIDS and ill-defined causes increased. Also, there were uncertain dynamics of deaths due to suicide and injuries with undetermined intent. Given some specific mortality differences between the cities, some concerns have been raised over the accuracy of the coding of diagnoses. In particular, unusually low mortality from ischemic heart disease was found in Odesa and from cerebrovascular disease in Dnipro, very rare deaths from alcoholic liver disease in Odesa, accidental alcohol poisoning in Kyiv, and a group of other liver diseases in Dnipro. We also assume misclassification of suicides as injuries with undetermined intent in Kharkiv. Our findings highlight the importance of the implementation of automated coding and selection of causes of death that can minimize the number of subjective decisions made by coders and lead to significant improvements in the quality of data.

2021 ◽  
pp. 60-79
Author(s):  
N. O. RYNGACH ◽  
P. E. SHEVCHUK

Large cities concentrate a substantial part of the educated, highly qualified, and economically active populations. Such social “selection” with the peculiarities of lifestyle determines the distinctive characteristics of the level and structure of mortality. Even though data on deaths by causes of death for the large cities are available in Ukraine, very few studies have analyzed cause-specific mortality in these cities. The objective of the study is to make a comparative analysis of mortality from the most influential causes of death in large cities. The novelty lies in the comparative analysis done for Dnipro, Kyiv, Lviv, Odesa, and Kharkiv for the first time. The study uses the direct method of standardization to calculate standardized death rates by sex in 2005-2019. The results indicate lower all-cause mortality rates for the large city residents compared to the corresponding average country-level indicators. Kyiv, Lviv, and Odesa have lower death rates compared to Dnipro and Kharkiv. In Kyiv and Lviv, this is attributed to lower mortality from almost all major causes of death, while in Odesa this mainly resulted from the extremely low ischemic heart disease mortality. Relatively high mortality from circulatory diseases is observed in Kharkiv and Dnipro. However, in Dnipro, this is associated with a high death rate from coronary heart disease and a very low contribution of cerebrovascular disease, whereas in Kharkiv coronary and cerebrovascular disease death rates are quite high. Mortality rates from diseases of the digestive system in the large cities are found to be the closest to the average in Ukraine (except for Lviv). The neoplasms are the only large group of diseases with a mortality rate that exceeds the average level in Ukraine, in particular for women. Overall, the death rates from most of the causes of death in the large cities demonstrated a positive trend in 2005-2019, with some exceptions. External causes and infectious diseases showed the most decrease while mortality from AIDS and ill-defined causes increased. Also, there were uncertain dynamics of deaths due to suicide and injuries with undetermined intent. Given some specific mortality differences between the cities, some concerns have been raised over the accuracy of the coding of diagnoses. In particular, unusually low mortality from ischemic heart disease was found in Odesa and from cerebrovascular disease in Dnipro, very rare deaths from alcoholic liver disease in Odesa, accidental alcohol poisoning in Kyiv, and a group of other liver diseases in Dnipro. We also assume misclassification of suicides as injuries with undetermined intent in Kharkiv. Our findings highlight the importance of the implementation of automated coding and selection of causes of death that can minimize the number of subjective decisions made by coders and lead to significant improvements in the quality of data.


Author(s):  
Karin Modig ◽  
Anders Ahlbom ◽  
Marcus Ebeling

Abstract Background Sweden has one of the highest numbers of COVID-19 deaths per inhabitant globally. However, absolute death counts can be misleading. Estimating age- and sex-specific mortality rates is necessary in order to account for the underlying population structure. Furthermore, given the difficulty of assigning causes of death, excess all-cause mortality should be estimated to assess the overall burden of the pandemic. Methods By estimating weekly age- and sex-specific death rates during 2020 and during the preceding five years, our aim is to get more accurate estimates of the excess mortality attributed to COVID-19 in Sweden, and in the most affected region Stockholm. Results Eight weeks after Sweden’s first confirmed case, the death rates at all ages above 60 were higher than for previous years. Persons above age 80 were disproportionally more affected, and men suffered greater excess mortality than women in ages up to 75 years. At older ages, the excess mortality was similar for men and women, with up to 1.5 times higher death rates for Sweden and up to 3 times higher for Stockholm. Life expectancy at age 50 declined by less than 1 year for Sweden and 1.5 years for Stockholm compared to 2019. Conclusions The excess mortality has been high in older ages during the pandemic, but it remains to be answered if this is because of age itself being a prognostic factor or a proxy for comorbidity. Only monitoring deaths at a national level may hide the effect of the pandemic on the regional level.


2019 ◽  
Vol 26 (3) ◽  
pp. 99-107
Author(s):  
Elena V. Bolotova ◽  
Anna V. Kontsevaya ◽  
Irina V. Kovrigina ◽  
Larisa P. Lyuberitskaya

Aim.In this work, we undertook a study of age/sex-specific mortality rates from circulatory system diseases and certain nosological forms in 2015 and 2018 among outpatients of Research Institute — Ochapovsky Regional Clinical Hospital No. 1 delivering primary healthcare services.Materials and methods.We studied age/sex-specific mortality rates from circulatory system diseases among adult population using the data from the medical records of deceased outpatients (Form 025/u), extracts from autopsy reports, as well as medical certificates of death for 2015 and 2018. Non-standardised and standardised mortality rates were calculated.Results.In 2015, all-cause mortality rate by the medical organisation reached 6.2 per 1,000 population, with the total number of deaths from circulatory system diseases amounting to 49.6%. The non-standardised mortality rates from the circulatory system diseases totalled 307.81 per 100,000 population, including the non-standardised mortality rates from cerebrovascular diseases (44.68), ischemic heart disease (129.08) and myocardial infarction (4.96). Standardised mortality rates from circulatory system diseases amounted to 201.96 (men — 70.58, women — 131.38). In 2015, chronic ischemic heart disease (41.94%) ranked first as the cause of mortality among circulatory system diseases followed by diagnoses requiring additional interpretation and examination of primary medical documentation (35.48%), i.e. not clearly defined causes of death; and cerebrovascular diseases (14.52%). In 2018, chronic ischemic heart disease also ranked first (47.54%) followed by cerebrovascular (36.21%) and other diseases (16.39%) (ICD codes I26, I71.1, R00.8).Conclusion.It is shown that more attention from the cardiological and therapeutic services of primary health care is required in coding death-causing circulatory system diseases.


2015 ◽  
Author(s):  
Francis P Boscoe

In the United States, state-specific mortality rates that are high relative to national rates can result from legitimate reasons or from variability in coding practices. This paper identifies instances of state-specific mortality rates that were at least twice the national rate in each of three consecutive five-year periods (termed persistent outliers), along with rates that were at least five times the national rate in at least one five-year period (termed extreme outliers). The resulting set of 71 outliers, 12 of which appeared on both lists, illuminates mortality variations within the country, including some that are amenable to improvement either because they represent preventable causes of death or highlight weaknesses in coding techniques. Because the approach used here is based on relative rather than absolute mortality, it is not dominated by the most common causes of death such as heart disease and cancer.


2020 ◽  
Author(s):  
Lijuan Zhang ◽  
Qi Li ◽  
Xue Han ◽  
Shuo Wang ◽  
Peng Li ◽  
...  

Abstract Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide. The effect of socioeconomic factors on cause-specific mortality and burden of CVD is rarely evaluated in low- and middle-income countries, especially in a rapidly changing society.Methods: Original data were derived from the vital registration system in Yangpu, a representative, population-stable district of urban Shanghai, China, during 1974-2015. Temporal trends for the mortality rates and burden of CVD during 1974-2015 were evaluated using Joinpoint Regression Software. The burden was evaluated using age-standardized person years of life loss per 100,000 persons (SPYLLs). Age-sex-specific CVD mortality rates were predicted by using age-period-cohort Poisson regression model. Results: A total of 101,822 CVD death occurred during 1974-2015, accounting for 36.95% of total death. Hemorrhagic stroke, ischemic heart disease, and ischemic stroke were the 3 leading causes of CVD death. The age-standardized CVD mortality decreased from 144.5/100,000 to 100.7/100,000 in the residents (average annual percentage change [AAPC] -1.0, 95% confidence interval [CI] -1.7 to -0.2), which was mainly contributed by women (AAPC -1.3, 95% CI -2.0 to -0.7), not by men. Hemorrhagic stroke, the major CVD death in the mid-aged population, decreased dramatically after 1991. The crude mortality of ischemic heart disease kept increasing but its age-adjusted mortality decreased continually after 1997. SPYLLs of CVD death increased from 1974 to 1986 (AAPC 2.1, 95% CI 0.4 to 3.8) and decreased after 1986 (AAPC 1.8, 95% CI -2.3 to -1.3). These changes were in concert with the implementation of policies including extended medical insurance coverage, pollution control, active prophylaxis of CVD including lifestyle promotion, and national health programs. The mortality of CVD increased in those born during 1937-1945, a period of the Japanese military occupation, and during 1958-1965, a period including the Chinese Famine. Sequelae of CVD and ischemic heart disease are predicted to be the leading causes of CVD death in 2029.Conclusions: Exposure to serious malnutrition in early life might increase CVD mortality in later life. Improvements in medical services, pollution control, and lifestyle could decrease CVD death. New strategy is needed to prevent the aging-related CVD death and burden in the future.


2020 ◽  
Author(s):  
Lijuan Zhang ◽  
Qi Li ◽  
Xue Han ◽  
Shuo Wang ◽  
Peng Li ◽  
...  

Abstract Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide. The effect of socioeconomic factors on cause-specific mortality and burden of CVD is rarely evaluated in low- and middle-income countries, especially in a rapidly changing society.Methods: Original data were derived from the vital registration system in Yangpu, a representative, population-stable district of urban Shanghai, China, during 1974-2015. Temporal trends for the mortality rates and burden of CVD during 1974-2015 were evaluated using Joinpoint Regression Software. The burden was evaluated using age-standardized person years of life loss per 100,000 persons (SPYLLs). Age-sex-specific CVD mortality rates were predicted by using age-period-cohort Poisson regression model.Results: A total of 101,822 CVD death occurred during 1974-2015, accounting for 36.95% of total deaths. Hemorrhagic stroke, ischemic heart disease, and ischemic stroke were the 3 leading causes of CVD death. The age-standardized CVD mortality decreased from 144.5/100,000 to 100.7/100,000 in the residents (average annual percentage change [AAPC] -1.0, 95% confidence interval [CI] -1.7 to -0.2), which was mainly contributed by women (AAPC -1.3, 95% CI -2.0 to -0.7), not by men. Hemorrhagic stroke, the major CVD death in the mid-aged population, decreased dramatically after 1991. The crude mortality of ischemic heart disease kept increasing but its age-adjusted mortality decreased continually after 1997. SPYLLs of CVD death increased from 1974 to 1986 (AAPC 2.1, 95% CI 0.4 to 3.8) and decreased after 1986 (AAPC 1.8, 95% CI -2.3 to -1.3). These changes were in concert with the implementation of policies including extended medical insurance coverage, pollution control, active prophylaxis of CVD including lifestyle promotion, and national health programs. The mortality of CVD increased in those born during 1937-1945, a period of the Japanese military occupation, and during 1958-1965, a period including the Chinese Famine. Sequelae of CVD and ischemic heart disease are predicted to be the leading causes of CVD death in 2029.Conclusions: Exposure to serious malnutrition in early life might increase CVD mortality in later life. Improvements in medical services, pollution control, and lifestyle could decrease CVD death. New strategy is needed to prevent the aging-related CVD death and burden in the future.


2011 ◽  
Vol 26 (S2) ◽  
pp. 2150-2150
Author(s):  
U. Osby

IntroductionThere is evidence that patients with bipolar disorder have an increased mortality from somatic causes of death, including coronary heart disease and myocardial infarction. However, present mortality ratios and mortality trends over time are not known.AimTo analyze relative mortality and mortality trends for patients with bipolar disorder in relation to the population for cerebrovascular disease, coronary heart disease and myocardial infarction.MethodsAll patients in Sweden with a clinical diagnosis of bipolar disorder from the introduction of ICD-10 (1987–2006) found in the National Swedish Patient Register were followed-up in the Cause of death register. Mortality rate ratios (MRR) for different cardiovascular diseases and different age groups were calculated, as well as numbers of excess deaths, relative to the population. Also, admission rate ratios (ARR) and yearly mortality rates for bipolar patients versus the population were calculated for the same time period.ResultsFrom all causes of death, there were 5,471 deaths for bipolar patients. MRR was 2.58 (95% CI: 2.51–2.65). For cerebrovascular disease MRR was 2.19 (95% CI: 2.01–2.40), and for coronary heart disease MRR was 2.10 (95% CI: 1.98–2.2.24). In the subgroup of acute myocardial infarction MRR was 1.97 (95% CI: 1.81–2.14). In cerebrovascular disease, ARR was increased to 1.47 (95% CI: 1.35–1.59), while in coronary heart disease ARR was 1.06 (95% CI: 0.98–2.24), and in acute myocardial infarction 1.09 (95% CI: 0.0.98–1.22). Yearly mortality rates for these causes of death decreased both among patients and the population, without indication of a decreasing gap.ConclusionsIn patients with bipolar disorder, mortality from cerebrovascular disease and coronary heart disease with its subgroup acute myocardial infarction was doubled during 1987–2006. In contrast, admission rates for coronary heart disease and acute myocardial infarction were not increased. Yearly mortality rates decreased both for the patients and the population, but there were no indications of a decreasing gap.KeywordsBipolar disorder; Register study; Cerebrovascular disease; Coronary heart disease; Acute myocardial infarction; Mortality rate ratios; Admission rate ratios.


2015 ◽  
Author(s):  
Francis P Boscoe

In the United States, state-specific mortality rates that are high relative to national rates can result from legitimate reasons or from variability in coding practices. This paper identifies instances of state-specific mortality rates that were at least twice the national rate in each of three consecutive five-year periods (termed persistent outliers), along with rates that were at least five times the national rate in at least one five-year period (termed extreme outliers). The resulting set of 71 outliers, 12 of which appeared on both lists, illuminates mortality variations within the country, including some that are amenable to improvement either because they represent preventable causes of death or highlight weaknesses in coding techniques. Because the approach used here is based on relative rather than absolute mortality, it is not dominated by the most common causes of death such as heart disease and cancer.


2020 ◽  
Author(s):  
Lijuan Zhang ◽  
Qi Li ◽  
Xue Han ◽  
Shuo Wang ◽  
Peng Li ◽  
...  

Abstract Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide. The effect of socioeconomic factors on cause-specific mortality and burden of CVD is rarely evaluated in low- and middle-income countries, especially in a rapidly changing society. Methods: Original data were derived from the vital registration system in Yangpu, a representative, population-stable district of urban Shanghai, China, during 1974-2015. Temporal trends for the mortality rates and burden of CVD during 1974-2015 were evaluated using Joinpoint Regression Software. The burden was evaluated using age-standardized person years of life loss per 100,000 persons (SPYLLs). Age-sex-specific CVD mortality rates were predicted by using age-period-cohort Poisson regression model. Results: A total of 101,822 CVD death occurred during 1974-2015, accounting for 36.95% of total death. Hemorrhagic stroke, ischemic heart disease, and ischemic stroke were the 3 leading causes of CVD death. The age-standardized CVD mortality decreased from 144.5/100,000 to 100.7/100,000 in the residents (average annual percentage change [AAPC] -1.0, 95% confidence interval [CI] -1.7 to -0.2), which was mainly contributed by women (AAPC -1.3, 95% CI -2.0 to -0.7), not by men. Hemorrhagic stroke, the major CVD death in the mid-aged population, decreased dramatically after 1991. The crude mortality of ischemic heart disease kept increasing but its age-adjusted mortality decreased continually after 1997. SPYLLs of CVD death increased from 1974 to 1986 (AAPC 2.1, 95% CI 0.4 to 3.8) and decreased after 1986 (AAPC 1.8, 95% CI -2.3 to -1.3). These changes were in concert with the implementation of policies including extended medical insurance coverage, pollution control, active prophylaxis of CVD including lifestyle promotion, and national health programs. The mortality of CVD increased in those born during 1937-1945, a period of the Japanese military occupation, and during 1958-1965, a period including the Chinese Famine. Sequelae of CVD and ischemic heart disease are predicted to be the leading causes of CVD death in 2029. Conclusions: Exposure to serious malnutrition in early life might increase CVD mortality in later life. Improvements in medical services, pollution control, and lifestyle could decrease CVD death. New strategy is needed to prevent the aging-related CVD death and burden in the future.


2015 ◽  
Author(s):  
Francis P Boscoe

In the United States, state-specific mortality rates that are high relative to national rates can result from legitimate reasons or from variability in coding practices. This paper identifies instances of state-specific mortality rates that were at least twice the national rate in each of three consecutive five-year periods (termed persistent outliers), along with rates that were at least five times the national rate in at least one five-year period (termed extreme outliers). The resulting set of 71 outliers, 12 of which appeared on both lists, illuminates mortality variations within the country, including some that are amenable to improvement either because they represent preventable causes of death or highlight weaknesses in coding techniques. Because the approach used here is based on relative rather than absolute mortality, it is not dominated by the most common causes of death such as heart disease and cancer.


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