Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities.

BACKGROUND: Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures. METHODS: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach. RESULTS: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-µg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively. CONCLUSIONS: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.

Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study.

BACKGROUND: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects. OBJECTIVES: We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality. METHODS: We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for each location. In the second stage, a multi-level analysis was used to pool the location-specific estimates. RESULTS: Overall, the mortality risk due to each interquartile range [IQR] increase was higher for intra-day TV than for inter-day TV. The risk increased by 0.59% (95% confidence interval [CI]: 0.53, 0.65) for all-cause mortality, 0.64% (95% CI: 0.56, 0.73) for cardiovascular mortality, and 0.65% (95% CI: 0.49, 0.80) for respiratory mortality per IQR increase in intra-day TV0-7 (0.9 °C). An IQR increase in inter-day TV0-7 (1.6 °C) was associated with 0.22% (95% CI: 0.18, 0.26) increase in all-cause mortality, 0.44% (95% CI: 0.37, 0.50) increase in cardiovascular mortality, and 0.31% (95% CI: 0.21, 0.41) increase in respiratory mortality. The proportion of all-cause deaths attributable to intra-day TV0-7 and inter-day TV0-7 was 1.45% and 0.35%, respectively. The mortality risks varied by lag interval, climate area, season, and climate type. CONCLUSIONS: Our results indicated that intra-day TV may explain the main part of the mortality risk related to TV and suggested that comprehensive evaluations should be proposed in more countries to help protect human health.

Symptom burden, service use and care dissatisfaction among older adults with cancer, cardiovascular disease, respiratory disease, dementia and neurological disease during the last 3 months before death: A pooled analysis of mortality follow-back surveys.

BACKGROUND: Variation in the provision of care and outcomes in the last months of life by cancer and non-cancer conditions is poorly understood. AIMS: (1) To describe patient conditions, symptom burden, practical problems, service use and dissatisfaction with end-of-life care for older adults based on the cause of death. (2) To explore factors related to these variables focussing on the causes of death. DESIGN: Secondary analysis of pooled data using cross-sectional mortality follow-back surveys from three studies: QUALYCARE; OPTCare Elderly; and International Access, Right, and Empowerment 1. SETTING/PARTICIPANTS: Data reported by bereaved relatives of people aged ⩾75 years who died of cancer, cardiovascular disease, respiratory disease, dementia or neurological disease. RESULTS: The pooled dataset contained 885 responses. Overall, service use and circumstances surrounding death differed significantly across causes of death. Bereaved relatives reported symptom severity from moderate to overwhelming in over 30% of cases for all causes of death. Across all causes of death, 28%-38% of bereaved relatives reported some level of dissatisfaction with care. Patients with cardiovascular disease and dementia experienced lower symptom burden and dissatisfaction than those with cancer. The absence of a reliable key health professional was consistently associated with higher symptom burden (p = 0.002), practical problems (p = 0.001) and dissatisfaction with care (p = 0.001). CONCLUSIONS: We showed different trajectories towards death depending on cause. Improving symptom burden and satisfaction in patients at the end-of-life is challenging, and the presence of a reliable key health professional may be helpful.

Increased mortality in acromegaly is due to vascular and respiratory disease and is normalised by control of GH levels-A retrospective analysis from the UK Acromegaly Register 1970-2016.

CONTEXT: Epidemiological studies involving patients with acromegaly have yielded conflicting results regarding cancer incidence and causes of mortality in relation to control of growth hormone (GH) excess. OBJECTIVE: The objective of this retrospective cohort study is to clarify these questions and identify goals for treatment and monitoring patients. METHODS: We studied 1845 subjects from the UK Acromegaly Register (1970-2016), obtaining cancer standardised incidence rates (SIR) and all causes standardised mortality rates (SMR) from UK Office for National Statistics, to determine the relationship between causes of mortality-age at diagnosis, duration of disease, post-treatment and mean GH levels. RESULTS: We found an increased incidence of all cancers (SIR, 1.38; 95% CI: 1.06-1.33, p < .001), but no increase in incidence of female breast, thyroid, colon cancer or any measure of cancer mortality. All-cause mortality rates were increased (SMR, 1.35; 95% CI: 1.24-1.46, p < .001), as were those due to vascular and respiratory diseases. All-cause, all cancer and cardiovascular deaths were highest in the first 5 years following diagnosis. We found a positive association between post-treatment and mean treatment GH levels and all-cause mortality (p < .001 and p < .001), which normalised with posttreatment GH levels of <1.0 µg/L or meantreatment GH levels of <2.5 µg/L. CONCLUSION: Acromegaly is associated with increased incidence of all cancers but not thyroid or colon cancer and no increase in cancer mortality. Excess mortality is due to vascular and respiratory disease. The risk is highest in the first 5 years following diagnosis and is mitigated by normalising GH levels.

Exposure to volatile organic compounds and mortality in US adults: A population-based prospective cohort study.

Volatile organic compounds (VOCs) are ubiquitous in both indoor and outdoor environments. Evidence on the associations of individual and joint VOC exposure with all-cause and cause-specific mortality is limited. Measurements of 15 urinary VOC metabolites were available to estimate exposure to 12 VOCs in the National Health and Nutritional Examination Survey (NHANES) 2005-2006 and 2011-2018. The environment risk score (ERS) was calculated using LASSO regression to reflect joint exposure to VOCs. Follow-up data on death were obtained from the NHANES Public-Use Linked Mortality File through December 31, 2019. Cox proportional hazard models and restricted cubic spline models were applied to evaluate the associations of individual and joint VOC exposures with all-cause and cause-specific mortality. Population attributable fractions were calculated to assess the death burden attributable to VOC exposure. During a median follow-up of 6.17 years, 734 (8.34 %) deaths occurred among 8799 adults. Urinary metabolites of acrolein, acrylonitrile, 1,3-butadiene, and ethylbenzene/styrene were significantly associated with all-cause, cardiovascular disease (CVD), respiratory disease (RD), and cancer mortality in a linear dose-response manner. Linear and robust dose-response relationships were also observed between ERS and all-cause and cause-specific mortality. Each 1-unit increase in ERS was associated with a 33.6 %, 39.1 %, 109.8 %, and 67.8 % increase for all-cause, CVD, RD, and cancer mortality risk, respectively. Moreover, joint exposure to VOCs contributed to 17.95 % of all-cause deaths, 13.49 % of CVD deaths, 35.65 % of RD deaths, and 33.85 % of cancer deaths. Individual and joint exposure to VOCs may enhance the risk of all-cause and cause-specific mortality. Reducing exposure to VOCs may alleviate the all-cause and cause-specific death burden.

Impact of the COVID-19 pandemic in mortality due to respiratory diseases: A comparative analysis of 2021 and 2020 vs 2019 in Spain / Impacto de la pandemia de COVID-19 en la mortalidad por enfermedades respiratorias: análisis comparativo de 2021 y 2020 frente a 2019 en España

Introduction We previously reported an increase in respiratory mortality in 2020 in Spain after COVID-19. It is unclear if this rise is sustained in the longer-term. We aimed to determine whether respiratory mortality in 2021 in Spain returned to pre-pandemic levels. Material and methods In an observational, large study using official National Institute of Statistics data, we explored deaths due to respiratory diseases, that is, all causes of death by the standard WHO list of diseases of the respiratory system plus COVID-19, tuberculosis and lung cancer. Using the latest available official data of Spain, we analyzed changes in the mortality pattern in Spain from January 2019 to December 2021. We endorsed STROBE guidance for observational research. Results There were 98,714 deaths due to respiratory diseases in 2021 in Spain, corresponding to 21.9% of all deaths, becoming second in the ranking of causes of death. Respiratory diseases mortality in Spain has not returned to pre-pandemic levels in 2021, still with an increase of 30.3% (95% CI 30.2–30.4) compared to rates in 2019. All respiratory-specific causes of death decreased in 2021, except for lung cancer, that increased in women and decreased in men compared to 2019 (both p<0.05). In a multivariate analysis some established risk factors for respiratory diseases mortality were confirmed, such as male gender and older age; further, an association with reduced mortality in rural Spain was observed, still with a large geographical variability. Conclusions The COVID-19 pandemic has had a lasting impact on deaths due to respiratory diseases and certain specific causes of death in 2021, and it has disproportionately affected certain regions (AU)

Introducción Previamente informamos de un aumento de la mortalidad respiratoria en 2020 en España tras la COVID-19. No está claro si este aumento se mantiene a largo plazo. Nuestro objetivo fue determinar si la mortalidad respiratoria en 2021 en España volvió a los niveles previos a la pandemia. Métodos En un gran estudio observacional con datos oficiales del Instituto Nacional de Estadística exploramos las muertes por enfermedades respiratorias, es decir, todas las causas de muerte según la lista estándar de enfermedades del sistema respiratorio de la Organización Mundial de la Salud más COVID-19, tuberculosis y cáncer de pulmón. Utilizando los últimos datos oficiales disponibles de España analizamos los cambios en el patrón de mortalidad en España desde enero de 2019 hasta diciembre de 2021. Seguimos la guía STROBE para investigación observacional. Resultados Se produjeron 98.714 muertes por enfermedades respiratorias en 2021 en España, lo que corresponde a 21,9% del total de muertes, situándose en el segundo lugar del ranking de causas de muerte. La mortalidad por enfermedades respiratorias en España no ha vuelto a los niveles previos a la pandemia en 2021, aun con un aumento de 30,3% (IC 95% 30,2-30,4) respecto a las tasas de 2019. Todas las causas de muerte específicas de las vías respiratorias disminuyeron en 2021, excepto el cáncer de pulmón, que aumentó en mujeres y disminuyó en hombres en comparación con 2019 (ambos p < 0,05). En un análisis multivariado se confirmaron algunos factores de riesgo establecidos para la mortalidad por enfermedades respiratorias, como el género masculino y la edad avanzada; además, se observó una asociación con la reducción de la mortalidad en la España rural, aun con una gran variabilidad geográfica. Conclusiones La pandemia de COVID-19 ha tenido un impacto duradero en las muertes por enfermedades respiratorias y ciertas causas específicas de muerte en 2021, y ha afectado de manera desproporcionada a ciertas regiones (AU)

[Disease burden and risk factors of chronic respiratory diseases in Jiangsu Province from 1990 to 2019].

Objective: To analyze the prevalence and the trend of the disease burden of chronic respiratory diseases and relevant risk factors in Jiangsu province from 1990 to 2019 and provide evidence for the prevention and treatment of chronic respiratory diseases. Methods: The data from the 2019 Global Burden of Disease Study (GBD2019) were used to calculate the prevalence rate, mortality rate and disability-adjusted life year (DALY) rate. Software Joinpoint was used to calculate the annual percent change (APC) and average annual percent change (AAPC) of the standardized prevalence rate, standardized mortality rate and standardized DALY rate. The population attributable fractions (PAF) were used to estimate the proportion of chronic respiratory disease caused by different risk factors. Results: In 1990 and 2019, the prevalence rates of chronic respiratory diseases were 4.83% and 5.45%. The mortality rates were 134.91/100 000 and 80.99/100 000 respectively, and the DALY rates were 2 678.52/100 000 and 1 534.31/100 000 respectively. From 1990 to 2019, the age-standardized prevalence rate, mortality rate and DALY rate in Jiangsu showed a significant downward trend (AAPC values were -0.90%, -5.28% and -4.70% respectively, P<0.05). Tobacco use was the leading cause of chronic respiratory diseases, followed by air pollution, occupational exposure, suboptimal temperature and high BMI. Compared with 1990, the proportion of DALYs of chronic respiratory diseases attributable to tobacco use and high BMI increased in 2019. Conclusion: The overall burden of chronic respiratory diseases in Jiangsu shows a downward trend. Prevention and health education should be focused on the population with a smoking history and high BMI. At the same time, environmental management, attention to suboptimal temperature and control of occupational exposure factors should also be adopted as important means to prevent and control chronic respiratory diseases.

The impact of heat waves on the mortality of Chinese population: A systematic review and meta-analysis.

BACKGROUND: Many studies had shown that with global warming, heat waves may increase the mortality risk of Chinese populations. However, these findings are not consistent. Therefore, we elucidated the associations by meta-analysis and quantified the magnitude of these risks, as well as the underlying factors. METHODS: We searched the China National Knowledge Infrastructure (CNKI), Wanfang database, PubMed, EMBASE, and Web of Science for literature screening up to Nov 10, 2022, to analyze the effect of heat waves on mortality in the Chinese population. Literature screening and data extraction were performed independently by two researchers and the data were merged by meta-analysis. In addition, we conducted subgroup analysis by sex, age, years of education, region, and number of events to explore the source of heterogeneity. RESULTS: Fifteen related studies on the impact on heat waves of the death of Chinese people were included in this study. The results of the meta-analysis showed that heat waves were significantly associated with increased mortality from non-accidental deaths, cardiovascular diseases, stroke, respiratory diseases, and circulatory diseases in the Chinese population: non-accidental mortality (RR = 1.19, 95% CI: 1.13-1.27, P < .01), cardiovascular diseases (RR = 1.25, 95% CI: 1.14-1.38), stroke (RR = 1.11, 95% CI: 1.03-1.20), respiratory diseases (RR = 1.18, 95% CI: 1.09-1.28), and circulatory diseases (RR = 1.11, 95% CI: 1.06-1.17). Subgroup analyses showed that heat waves had a higher risk of non-accidental death for those with <6 years of education than for those with ≥6 years of education. Meta-regression analysis showed that the contribution of the study year to the inter studied heterogeneity was 50.57%. The sensitivity analysis showed that the exclusion of any single study did not materially alter the overall combined effect. The meta-analysis method indicated no obvious evidence of publication bias. CONCLUSIONS: The results of the review indicated that heat waves were associated with increased mortality in the Chinese population, that attention should be paid to high-risk groups, and that public health policies and strategies should be implemented to more effectively respond to and adapt to climate change.

Long-term exposure to elemental components of fine particulate matter and all-natural and cause-specific mortality in a Danish nationwide administrative cohort study.

BACKGROUND: Fine particulate matter (PM2.5) is a well-recognized risk factor for premature death. However, evidence on which PM2.5 components are most relevant is unclear. METHODS: We evaluated the associations between mortality and long-term exposure to eight PM2.5 elemental components [copper (Cu), iron (Fe), zinc (Zn), sulfur (S), nickel (Ni), vanadium (V), silicon (Si), and potassium (K)]. Studied outcomes included death from diabetes, chronic kidney disease (CKD), dementia, and psychiatric disorders as well as all-natural causes, cardiovascular disease (CVD), respiratory diseases (RD), and lung cancer. We followed all residents in Denmark (aged ≥30 years) from January 1, 2000 to December 31, 2017. We used European-wide land-use regression models at a 100 × 100 m scale to estimate the residential annual mean levels of exposure to PM2.5 components. The models were developed with supervised linear regression (SLR) and random forest (RF). The associations were evaluated by Cox proportional hazard models adjusting for individual- and area-level socioeconomic factors and total PM2.5 mass. RESULTS: Of 3,081,244 individuals, we observed 803,373 death from natural causes during follow-up. We found significant positive associations between all-natural mortality with Si and K from both exposure modeling approaches (hazard ratios; 95% confidence intervals per interquartile range increase): SLR-Si (1.04; 1.03-1.05), RF-Si (1.01; 1.00-1.02), SLR-K (1.03; 1.02-1.04), and RF-K (1.06; 1.05-1.07). Strong associations of K and Si were detected with most causes of mortality except CKD and K, and diabetes and Si (the strongest associations for psychiatric disorders mortality). In addition, Fe was relevant for mortality from RD, lung cancer, CKD, and psychiatric disorders; Zn with mortality from CKD, RD, and lung cancer, and; Ni and V with lung cancer mortality. CONCLUSIONS: We present novel results of the relevance of different PM2.5 components for different causes of death, with K and Si seeming to be most consistently associated with mortality in Denmark.

Mortalidade de professores no estado de Goiás: análise de série temporal / Mortality of teachers in the state of Goiás: a time serie analysis

Análise de perfil epidemiológico e a tendência da mortalidade de professores da educação básica e do ensino superior no Estado de Goiás, no período de 2008 a 2017. Método: série temporal, com dados do Sistema de Informações sobre Mortalidade. Para a análise da tendência da mortalidade utilizou-se modelos de regressão linear e considerou-se p<0,05. Resultados: foram levantados 2.439 óbitos, maior frequência de óbitos no sexo feminino, em indivíduos de cor branca e com idade entre 50 e 69 anos. Entre as mulheres, as neoplasias malignas foram as principais causas de óbito, enquanto entre os homens destacaram-se as doenças do aparelho circulatório. Identificou-se tendência temporal de aumento dos óbitos (0,134 para as neoplasias malignas, 0,132 para as doenças do aparelho circulatório, 0,252 para as causas externas e 0,212 para as doenças do aparelho respiratório). Considerando todas as causas de óbito o incremento foi de 0,040 (p<0,000). Conclusão: há aumento de mortalidade de professores por causas evitáveis

Objective: to analyze the epidemiologic profile and the trends in mortality of teachers from basic education and higher education professors in the state of Goiás, in the period from 2008 to 2017. Method: time series, with data from the Mortality Information System. In order to analyze the trend in mortality, a linear regression model was used, considering p<0.05. Results: 2,439 deaths were recorded, with higher frequency of deaths within female sex, white and aged from 50 to 69 years. Among the women, malignant neoplasms were the main causes of death, whilst among men, circulatory system diseases stood out. It was identified a temporal trend of increase in deaths (0.134 for malignant neoplasms, 0.132 for circulatory system diseases, 0.252 for external causes and 0.212 for respiratory system diseases). Considering all the causes of death, the increase was 0.040 (p<0.000). Conclusion: there is an increase in mortality of teachers and professors due to avoidable causes

Consumption of coffee and tea with all-cause and cause-specific mortality: a prospective cohort study.

BACKGROUND: Previous studies suggested that moderate coffee and tea consumption are associated with lower risk of mortality. However, the association between the combination of coffee and tea consumption with the risk of mortality remains unclear. This study aimed to evaluate the separate and combined associations of coffee and tea consumption with all-cause and cause-specific mortality. METHODS: This prospective cohort study included 498,158 participants (37-73 years) from the UK Biobank between 2006 and 2010. Coffee and tea consumption were assessed at baseline using a self-reported questionnaire. All-cause and cause-specific mortalities, including cardiovascular disease (CVD), respiratory disease, and digestive disease mortality, were obtained from the national death registries. Cox regression analyses were conducted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: After a median follow-up of 12.1 years, 34,699 deaths were identified. The associations of coffee and tea consumption with all-cause and cause-specific mortality attributable to CVD, respiratory disease, and digestive disease were nonlinear (all P nonlinear < 0.001). The association between separate coffee consumption and the risk of all-cause mortality was J-shaped, whereas that of separate tea consumption was reverse J-shaped. Drinking one cup of coffee or three cups of tea per day seemed to link with the lowest risk of mortality. In joint analyses, compared to neither coffee nor tea consumption, the combination of < 1-2 cups/day of coffee and 2-4 cups/day of tea had lower mortality risks for all-cause (HR, 0.78; 95% CI: 0.73-0.85), CVD (HR, 0.76; 95% CI: 0.64-0.91), and respiratory disease (HR, 0.69; 95% CI: 0.57-0.83) mortality. Nevertheless, the lowest HR (95% CI) of drinking both < 1-2 cup/day of coffee and ≥ 5 cups/day of tea for digestive disease mortality was 0.42 (0.34-0.53). CONCLUSIONS: In this large prospective study, separate and combined coffee and tea consumption were inversely associated with all-cause and cause-specific mortality.

Changes in mortality in a non-industrialized Portugal: Coimbra Municipal Cemetery records (1861-1914) and identified osteological collections.

OBJECTIVE: To investigate if there were changes in mortality knowing that industrialization was a slow and late process in Portugal. MATERIALS: The biographic information (1) of the individuals buried at the Coimbra Municipal Cemetery, considering three quinquennia: 1861-1865 (n = 1111, 18.3%), 1870-1974 (n = 2602, 42.7%), 1910-1914 (n = 2374, 39.0%), related to the periods before, during and at the end of the second industrialization and (2) of the Coimbra identified osteological collections (CIOC, N = 1796) composed of individuals who were born and died in the city. METHODS: Excel databases with the biographic information were analyzed with SPSS. RESULTS: Data from the cemetery show statistically significant differences between sexes and age-at-death mortalities. Non-adult mortality (higher in the age range from 1 to 7 years) has decreased over time which has increased mean age-at-death. The main adult occupations are domestic work (females) and craft activities (males). Child labor is common after the age of 14. The main causes of death (in both cemetery and CIOC records) were infections, respiratory diseases, heart disease, and malignant neoplasm. Among the communicable diseases, tuberculosis accounted for the highest number of deaths. The identified individuals have lesions compatible with tuberculosis and sinusitis while malignant neoplasms are more difficult to identify. The high prevalence of heart disease can overshadow other causes of death. CONCLUSIONS: In the absence of industrialization, tuberculosis, heart disease, and malignant neoplasms increased over time, while respiratory diseases decreased. SIGNIFICANCE: Mortality profile changed between 1861-1864 and 1910-1914 in Coimbra. LIMITATIONS: The causes of death were studied, but not all diseases. SUGGESTIONS FOR FURTHER RESEARCH: Study of other cemetery records for further comparison.

Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation, and region in England and Wales during 2020: A registry-based study.

BACKGROUND: Deaths in the first year of the Coronavirus Disease 2019 (COVID-19) pandemic in England and Wales were unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated to date, as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups. METHODS AND FINDINGS: We used national mortality registers in England and Wales, from 27 December 2014 until 25 December 2020, covering 3,265,937 deaths. YLLs (main outcome) were calculated using 2019 single year sex-specific life tables for England and Wales. Interrupted time-series analyses, with panel time-series models, were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7 March 2020 and 25 December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease and diabetes, cancer, and other indirect deaths (all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Between 7 March 2020 and 25 December 2020, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England and Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from 916 (95% CI: 820 to 1,012) for the least deprived quintile to 1,645 (95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, a mean of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, a mean of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were much higher in younger age groups, but similar for those aged 85 or over. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in the North West. Limitations include the quasi-experimental nature of the research design and the requirement for accurate and timely recording. CONCLUSIONS: In this study, we observed strong socioeconomic and geographical health inequalities in YLL, during the first calendar year of the COVID-19 pandemic. These were in line with long-standing existing inequalities in England and Wales, with the most deprived areas reporting the largest numbers in potential YLL.

Analysis of the Nursing Effect of Respiratory Critical Illness Based on Refined Nursing Management.

In order to improve the nursing effect of respiratory critical illness, this paper combines the refined nursing method to explore the nursing plan of respiratory critical illness. Moreover, this paper uses the variable control method to explore the effects of nursing management, combines the hospital patient samples to conduct a controlled trial analysis, and conducts sample grouping according to the random grouping method. The patients in the control group are managed by traditional nursing management methods, the patients in the test group are managed by refined nursing management methods, and other conditions are basically the same. In addition, the experiment process variable control is carried out according to the mathematical statistics method, and the reasonable statistics and data processing are carried out. Through the comparison method, we can see that the refined management method proposed in this paper has a good effect in the nursing of respiratory critical illness.

Respiratory-related death in individuals with incident asthma and COPD: a competing risk analysis.

BACKGROUND: Distinguishing between mortality attributed to respiratory causes and other causes among people with asthma, COPD, and asthma-COPD overlap (ACO) is important. This study used electronic health records in England to estimate excess risk of death from respiratory-related causes after accounting for other causes of death. METHODS: We used linked Clinical Practice Research Datalink (CPRD) primary care and Office for National Statistics mortality data to identify adults with asthma and COPD from 2005 to 2015. Causes of death were ascertained using death certificates. Hazard ratios (HR) and excess risk of death were estimated using Fine-Gray competing risk models and adjusting for age, sex, smoking status, body mass index and socioeconomic status. RESULTS: 65,021 people with asthma and 45,649 with COPD in the CPRD dataset were frequency matched 5:1 with people without the disease on age, sex and general practice. Only 14 in 100,000 people with asthma are predicted to experience a respiratory-related death up to 10 years post-diagnosis, whereas in COPD this is 98 in 100,000. Asthma is associated with an 0.01% excess incidence of respiratory related mortality whereas COPD is associated with an 0.07% excess. Among people with asthma-COPD overlap (N = 22,145) we observed an increased risk of respiratory-related death compared to those with asthma alone (HR = 1.30; 95% CI 1.21-1.40) but not COPD alone (HR = 0.89; 95% CI 0.83-0.94). CONCLUSIONS: Asthma and COPD are associated with an increased risk of respiratory-related death after accounting for other causes; however, diagnosis of COPD carries a much higher probability. ACO is associated with a lower risk compared to COPD alone but higher risk compared to asthma alone.

Osteoporosis and Its Association With Cardiovascular Disease, Respiratory Disease, and Cancer: Findings From the UK Biobank Prospective Cohort Study.

OBJECTIVE: To investigate sex-specific associations of osteoporosis with incidence of and mortality from cardiovascular disease (CVD), respiratory disease, and cancer as well as with all-cause mortality. METHODS: In total, 305,072 participants (53% [161,383] women) of UK Biobank were included in this study (2007-2010). Self-reported diagnosis of osteoporosis at baseline was the exposure of interest. The outcomes were CVD, respiratory disease, chronic obstructive pulmonary disease (COPD), all cancer, and prostate and breast cancer incidence and mortality and all-cause mortality. Associations between osteoporosis and outcomes were investigated using Cox proportional hazards models. RESULTS: In men, osteoporosis was associated with a higher incident risk of all respiratory diseases (hazard ratio [HR], 1.26; 95% CI, 1.06 to 1.50) including COPD (HR, 1.82; 95% CI, 1.38 to 2.40). Men with osteoporosis also had a higher mortality risk from all causes (HR, 1.71; 95% CI, 1.38 to 2.11), CVD (HR, 1.68; 95% CI, 1.19 to 2.37), respiratory disease (HR, 2.35; 95% CI, 1.70 to 3.24), and COPD (HR, 3.64; 95% CI, 2.24 to 5.91). These associations persisted after adjustment for age, body mass index, and comorbidities. Women with osteoporosis had a higher risk of incident CVD (HR, 1.24; 95% CI, 1.97 to 1.44), respiratory disease (HR, 1.23; 95% CI, 1.13 to 1.33), and COPD (HR, 1.29; 95% CI, 1.10 to 1.52). Women with osteoporosis also had a higher mortality risk from respiratory disease (HR, 1.31; 95% CI, 1.00 to 1.72) and breast cancer (HR, 1.60; 95% CI, 1.14 to 2.26). CONCLUSION: Compared with women, men with osteoporosis had a higher risk of all-cause mortality, mortality from respiratory diseases including COPD, and cancer incidence. Osteoporosis was strongly associated with respiratory disease and COPD in both sexes, even after full adjustment for covariates, although men with osteoporosis experienced a higher risk of adverse outcomes.

Nationwide cross-sectional survey of patients with relapsing polychondritis in 2019 demonstrates reduction of airway involvement compared with that in 2009.

We conducted retrospective cohort studies of patients with relapsing polychondritis (RP) twice in 2009 and 2019, using a physician questionnaire. We compared the patients' clinical statuses between the years. Age and gender were comparable between the two surveys. Mean disease duration was longer in 2019 survey (8.3 years) than that in 2009 survey (4.8 years, P < 0.001). The mortality rate declined in 2019 survey compared with those in 2009 survey (from 9.2 to 1.6%, P < 0.001). Incidence of airway involvement decreased in 2019 survey compared with that in 2009 survey (from 49 to 37%, P = 0.012). In 2019 survey, we found more frequent use of biological agents and immunosuppressants in patients with airway involvement. When we focused on RP patients with airway involvement, physicians in 2019 chose methotrexate and calcineurin inhibitors preferentially, compared with azathioprine and cyclophosphamide. Of note is that increased use of infliximab was observed in RP patients with airway involvement, but not in those without. Reduction of airway involvement and mortality in patients with RP was observed in 2019 survey. The reduction may associate with the frequent use of biologics including infliximab in RP patients with airway involvement.

"The Most Disastrous and Fatal Epidemic": Mortality Statistics During the 1890 Russian Influenza Epidemic in Connecticut.

During the Russian influenza pandemic, which reached the United States in late 1889, US public health officials attempted to document the number of deaths associated with this disease outbreak. A historical perspective illuminates the complex categories used to classify deaths from influenza-associated diseases; substantial changes in weekly, monthly, and yearly death totals; and thoughtful efforts by health officials to measure the epidemic as it happened. The 1114 influenza deaths reported by the Connecticut State Board of Health in the 3 years after the January 1890 outbreak must be supplemented by the notable increases in the number of deaths from respiratory diseases, which elevates the likely toll to more than 7000 deaths during the epidemic. Whereas historians of public health have primarily examined efforts to control communicable diseases, this case study of mortality statistics reported by town officials and analyzed by the Connecticut State Board of Health demonstrates how officers of the local boards of health also responded to unexpected outbreaks of a familiar disease such as influenza. Understanding how organizations measured influenza-associated mortality illustrates an important stage in the development of American public health and also makes an important contribution to studying pandemics in history.

Mortality from chronic respiratory disease in Brazil: time trend and forecasts / Mortalidade por doença respiratória crônica no Brasil: tendência temporal e projeções

ABSTRACT OBJECTIVE To analyze the time trend of monthly mortality rates from chronic respiratory diseases in Brazil from 1996 to 2017, with forecasts for 2022, besides analyzing the possibility of achieving the goal of the Plano de Ações Estratégicas para o Enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil (Strategic Action Plan to Tackle Chronic Noncommunicable Diseases in Brazil) from 2011 to 2022. METHODS This is an ecological study that uses data from Sistema de Informações sobre Mortalidade (SIM - Mortality Information System), Sistema de Informações Demográficas e Socioeconômicas (Demographic and Socioeconomic Information System) and Pesquisa Nacional por Amostra de Domicílios Contínua (PNAD Contínua - Continuous National Household Sample Survey). We established the age range between 30 and 69 years old and the evolution of the rates over time was made by autoregressive integrated moving average models in R statistical tool. RESULTS Premature mortality rates from chronic respiratory diseases are decreasing in Brazil as a whole, mostly in state capitals. There is also a trend to reach the Ministry of Health's goal in most of the country. For capitals that tend not to reach the goal, there is an association between mortality and social indicators, healthcare network and frequency of smoking. CONCLUSION This study intends to improve planning of the public health system for the control of chronic respiratory diseases.

RESUMO OBJETIVO Analisar a tendência temporal das taxas mensais de mortalidade por doenças respiratórias crônicas no Brasil de 1996 até 2017, com projeções para 2022, além de analisar a possibilidade de cumprimento da meta do Plano de Ações Estratégicas para o Enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil de 2011 até 2022. MÉTODOS Trata-se de estudo ecológico que utiliza dados do Sistema de Informações sobre Mortalidade, do Sistema de Informações Demográficas e Socioeconômicas e da Pesquisa Nacional por Amostra de Domicílios Contínua. O recorte etário foi estabelecido entre 30 e 69 anos e a evolução das taxas no tempo foi feita por meio de modelos autorregressivos integrados de média móvel em plataforma estatística R. RESULTADOS As taxas de mortalidade precoce por doenças respiratórias crônicas apresentam-se decrescentes no Brasil como um todo e na maior parte das capitais, assim como, há tendência a atingir a meta do Ministério da Saúde na maior parte do país. Para capitais que tendem a não atingir a meta, verifica-se associação entre mortalidade e indicadores sociais, rede assistencial de saúde e frequência do tabagismo. CONCLUSÃO Pretende-se que o estudo possibilite um melhor planejamento do sistema público de saúde para o controle das doenças respiratórias crônicas.