Respiratory Hospital Admissions Research Articles

Exploring the Modifying Role of GDP and Greenness on the Short Effect of Air Pollutants on Respiratory Hospitalization in Beijing.

It is unclear whether Gross Domestic Product (GDP) and greenness have additional modifying effects on the association between air pollution and respiratory system disease. Utilizing a time-stratified case-crossover design with a distributed lag linear model, we analyzed the association between six pollutants (PM2.5, PM10, NO2, SO2, O3, and CO) and 555,498 respiratory hospital admissions in Beijing from 1st January 2016 to 31st December 2019. We employed conditional logistic regression, adjusting for meteorological conditions, holidays and influenza, to calculate percent change of hospitalization risk. Subsequently, we performed subgroup analysis to investigate potential effect modifications using a two-sample z test. Every 10μg/m3 increase in PM2.5, PM10, NO2, SO2, and O3 led to increases of 0.26% (95%CI: 0.17%, 0.35%), 0.15% (95%CI: 0.09%, 0.22%), 0.61% (95%CI: 0.44%, 0.77%), 1.72% (95%CI: 1.24%, 2.21%), and 0.32% (95%CI: 0.20%, 0.43%) in admissions, respectively. Also, a 1mg/m3 increase in CO levels resulted in a 2.50% (95%CI: 1.96%, 3.04%) rise in admissions. The links with NO2 (p<0.001), SO2 (p<0.001), O3 (during the warm season, p<0.001), and CO (p<0.001) were significantly weaker among patients residing in areas with higher levels of greenness. No significant modifying role of GDP was observed. Greenness can help mitigate the effects of air pollutants, while the role of GDP needs further investigation.

Impact of urban outdoor thermal conditions on selected hospital admissions in Novi Sad, Serbia

Climate change has been recognized as an important issue in public health, with particular concerns being raised about the effects of heat and cold extremes on health, and about seasonal changes over the year and their associations with increased mortality and hospitalizations. This paper explored the relationship between physiological equivalent temperature (PET) and cardiovascular and respiratory hospital admissions in Novi Sad (Serbia) with the aim of assessing the impact of urban outdoor thermal conditions on health. Analysis was performed using daily data on cardiovascular and respiratory hospital admissions by gender covering the period from January 1, 2016 to December 31, 2017. For the same period, PET was calculated using data from two urban meteorological network stations. The association between PET and hospital admissions was examined using a generalized additive model (GAM) combined with a distributed lag non-linearmodel (DLNM). The study found a non-linear relationship between PET and cardiovascular and respiratory hospital admissions, with a larger impact during the cold period of the year. The findings also indicated that under conditions of high PET, the cumulative RR increased for cardiovascular admissions (for males) and respiratory admissions (for females). People with pre-existing respiratory diseases were found to be more vulnerable under conditions of extremely low and moderately low PET, with a greater effect at lag 0–14 days. By contrast, for people with cardiovascular diseases, low PET was linked to a decrease in hospital admissions, with the risk being lowest at lag 0 and 0–3 days.

Can RESPiratory hospital Admissions in children with cerebral palsy be reduced? A feasibility randomised Controlled Trial pilot study protocol (RESP-ACT)

IntroductionThe most common cause of morbidity and mortality in children with severe cerebral palsy (CP) is respiratory disease. BREATHE-CP (Better REspiratory and Airway Treatment and HEalth in Cerebral Palsy) is...

888. Estimation of the Incidence of RSV-attributable Circulatory and Respiratory Hospital Admissions in Adults in Germany between 2015–2019, Overall and for Specific Conditions

Abstract Background Respiratory syncytial virus (RSV) can cause severe outcomes in adults, especially those with underlying risk factors. However, RSV incidence in adults is usually underestimated because of non-specific symptomatology and limited standard of care testing. We retrospectively estimated RSV-attributable incidence of hospital admissions in adults in Germany between 2015–2019. Methods Information from inpatient visits was gathered from a Statutory Health Insurance database (approximately 3,5 million insured people). A quasi-Poisson regression model was used to estimate RSV-attributable incidence among both respiratory and circulatory hospital admissions accounting for within-season fluctuations and virus activity stratified by age groups (18–44, 45–59, 60–75, ≥75 years), risk status, and disease subgroups (5 respiratory and 4 circulatory). Results The highest RSV-attributable incidence rates of hospital admissions were observed for circulatory diseases among older patients and those with risk factors (Table). In adults aged 60 years or older, arrythmia and acute coronary/myocardial infarction accounted for the highest incidence and stroke for the lowest incidence within circulatory hospitalizations (Table). Within respiratory hospitalizations in adults ≥75 years, RSV-attributable incidence was highest for hospital admissions related to influenza/pneumonia and chronic obstructive pulmonary disease; it was lowest for hospital admissions related to upper respiratory diseases (Table). RSV Incidence Rate Ranges Estimated RSV-attributable Incidence Rate per 100,000 Inhabitants Related to Circulatory and Respiratory Diseases in Adults Reported as Ranges from 2015 to 2019, Stratified by Age Group (in Years) and Risk Status, Germany Conclusion This study showed that RSV causes a considerable burden of hospitalizations in adults in Germany, and, like other respiratory viruses’ (e.g., influenza and SARS-CoV-2), contributes to both respiratory and circulatory hospitalizations. This highlights the need to implement effective prevention strategies especially among the oldest and those with underlying risk factors. Disclosures Caroline Beese, n/a, Pfizer: CB is an employee of Pfizer, the sponsor of this study Gordon Brestrich, PhD, Pfizer: GB is an employee of Pfizer, the sponsor of this study Elizabeth Begier, M.D., M.P.H., Pfizer: EB is an employee of Pfizer, the sponsor of this study|Pfizer: Stocks/Bonds Aleksandra Polkowska-Kramek, n/a, P95: APK is an employee of P95, paid by Pfizer to conduct the study Robin Bruyndonckx, n/a, P95: RB is an employee of P95, paid by Pfizer to conduct the study Charles Nuttens, n/a, Pfizer: CN is an employee of Pfizer, the sponsor of this study Thao Mai Phuong Tran, n/a, P95: TMPT is an employee of P95, paid by Pfizer to conduct the study Worku Biyadgie Ewnetu, n/a, P95: WBE is an employee of P95, paid by Pfizer to conduct the study Juan Luis Ramirez Agudelo, n/a, P95: JLRA is an employee of P95, paid by Pfizer to conduct the study Lea Johanna Bayer, n/a, Pfizer: LJB is an employee of Pfizer, the sponsor of this study Caihua Liang, MD, PhD, Pfizer: CL is an employee of Pfizer, the sponsor of this study Bradford D. Gessner, M.D., M.P.H., Pfizer: I am an employee of Pfizer|Pfizer: Stocks/Bonds

Effect of ambient air pollution on hospital admission for respiratory diseases in Hanoi children during 2007–2019

Air pollution poses a threat to children's respiratory health. This study aims to quantify the association between short-term air pollution exposure and respiratory hospital admissions among children in Hanoi, Vietnam, and estimate the population-attributable burden using local data. A case-crossover analysis was conducted based on the individual records where each case is their own control. The health data was obtained from 13 hospitals in Hanoi and air pollution data was collected from four monitoring stations from 2007 to 2019. We used conditional logistic regression to estimate Percentage Change (PC) and 95% Confidence Interval (CI) in odd of hospital admissions per 10 μg/m3 increase in daily average particulate matter (e.g. PM1, PM2.5, PM10), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), 8-h maximum Ozone and per 1000 μg/m3 increase in daily mean of Carbon Monoxide (CO). We also calculated the number and fraction of admissions attributed to air pollution in Hanoi by using the coefficient at lag 0. A 10 μg/m3 increase in the concentration of PM10, PM2.5, PM1, SO2, NO2, O3 8-h maximum and 1000 μg/m3 increase in CO concentration was associated with 0.6%, 1.2%, 1.4%, 0.8%, 1.6%, 0.3%, and 1.7% increase in odd of admission for all respiratory diseases among children under 16 years at lag 0–2. All PM metrics and NO2 are associated with childhood admission for pneumonia and bronchitis. Admissions due to asthma and upper respiratory diseases are related to increments in NO2 and CO. For attributable cases, PM2.5 concentrations in Hanoi exceeding the World Health Organization Air Quality Guidelines accounted for 1619 respiratory hospital admissions in Hanoi children in 2019. Our findings show that air pollution has a detrimental impact on the respiratory health of Hanoi children and there will be important health benefits from improved air quality management planning to reduce air pollution in Vietnam.

Effectiveness of BNT162b2 BA.4/5 bivalent mRNA vaccine against a range of COVID-19 outcomes in a large health system in the USA: a test-negative case–control study

XBB-related omicron sublineages have recently replaced BA.4/5 as the predominant omicron sublineages in the USA and other regions globally. Despite preliminary signs of immune evasion of XBB sublineages, few data exist describing the real-world effectiveness of bivalent COVID-19 vaccines, especially against XBB-related illness. We aimed to investigate the effectiveness of the Pfizer--BioNTech BNT162b2 BA.4/5 bivalent vaccine against both BA.4/5-related and XBB-related disease in adults aged 18 years or older. In this test-negative case-control study, we estimated the effectiveness of the BNT162b2 BA.4/5 bivalent vaccine using data from electronic health records of Kaiser Permanente Southern California health system members aged 18 years or older who received at least two doses of the wild-type COVID-19 mRNA vaccines. Participants sought care for acute respiratory infection between Aug 31, 2022, and April 15, 2023, and were tested for SARS-CoV-2 via PCR tests. Relative vaccine effectiveness (≥2 doses of wild-type mRNA vaccine plus a BNT162b2 BA.4/5 bivalent booster vs ≥2 doses of a wild-type mRNA vaccine alone) and absolute vaccine effectiveness (vs unvaccinated individuals) was estimated against critical illness related to acute respiratory infection (intensive care unit [ICU] admission, mechanical ventilation, or inpatient death), hospital admission, emergency department or urgent care visits, and in-person outpatient encounters with odds ratios from logistic regression models adjusted for demographic and clinical factors. We stratified vaccine effectiveness estimates for hospital admission, emergency department or urgent care visits, and outpatient encounters by omicron sublineage (ie, likely BA.4/5-related vs likely XBB-related), time since bivalent booster receipt, age group, number of wild-type doses received, and immunocompromised status. This study is registered with ClinicalTrials.gov (NCT04848584). Analyses were conducted for 123 419 encounters (24 246 COVID-19 cases and 99 173 test-negative controls), including 4131 episode of critical illness (a subset of hospital admissions), 14 529 hospital admissions, 63 566 emergency department or urgent care visits, and 45 324 outpatient visits. 20 555 infections were BA.4/5 related and 3691 were XBB related. In adjusted analyses, relative vaccine effectiveness for those who received the BNT162b2 BA.4/5 bivalent booster compared with those who received at least two doses of a wild-type mRNA vaccine alone was an additional 50% (95% CI 23-68) against critical illness, an additional 39% (28-49) against hospital admission, an additional 35% (30-40) against emergency department or urgent care visits, and an additional 28% (22-33) against outpatient encounters. Waning of the bivalent booster from 0-3 months to 4-7 months after vaccination was evident for outpatient outcomes but was not detected for critical illness, hospital admission, and emergency department or urgent care outcomes. The relative effectiveness of the BNT162b2 BA.4/5 bivalent booster for XBB-related infections compared with BA.4/5-related infections was 56% (95% CI 12-78) versus 40% (27-50) for hospital admission; 34% (21-45) versus 36% (30-41) against emergency department or urgent care visits; and 29% (19-38) versus 27% (20-33) for outpatient encounters. By mid-April, 2023, individuals previously vaccinated only with wild-type vaccines had little protection against COVID-19-including hospital admission. A BNT162b2 BA.4/5 bivalent booster restored protection against a range of COVID-19 outcomes, including against XBB-related sublineages, with the most substantial protection observed against hospital admission and critical illness. Pfizer.

Air pollution, mortality, and hospital admissions in Scotland: A 16 years register-based study

Abstract Background Air pollution is associated with poor health and higher mortality. However, studies that link high spatial resolution air pollution data for several pollutants to individual-level data over prolonged period (&amp;gt;10 years) and assess multiple health outcomes are limited. In this study, we investigated the association between 16-years exposure to air pollution and all-cause and cause-specific (cardiovascular, respiratory, cancer, infectious, and mental/behavioural disorders) mortality and hospital admissions in Scotland. Methods Individual-level data from the “Scottish Longitudinal Study” for 202,237 individuals (2002-2017) were linked to yearly concentrations of NO2, SO2, PM10, and PM2.5 pollutants at 1-Km2 spatial resolution using the individual's residential postcode. The association between air pollution and mortality and hospital admissions was examined using Cox Proportional-Hazards and multilevel mixed-effects negative binomial models, respectively. Results Increasing concentrations of PM2.5, PM10, and NO2 pollutants were associated with higher rates of all-cause, cardiovascular, respiratory, cancer, and infectious mortality and hospital admissions. Mortality from respiratory diseases increased by 6.2% (95%CI=2.8%−9.6%), 2.5% (95%CI=0.5%−4.5%), and 1.2% (95%CI=0.5%−1.9%) per 1 µg/m3 increase in PM2.5, PM10 and NO2 pollutants, respectively. Exposure to SO2 was mainly linked to mental/behavioural disorders mortality (HR = 1.05; 95%CI=1.02-1.07) and respiratory hospital admissions (IRR=1.02; 95%CI=1.01-1.03). Conclusions This study revealed a positive association between air pollution and mortality and hospital admissions in Scotland. Interventions on air pollution through stricter environmental regulations could help ease the mortality and hospital admission burden, for both physical and mental illness. Key messages • Air pollution is associated with a higher risk of mortality and hospital admissions for both physical and mental health-related outcomes. • Policymakers are urged to provide incentives for the usage of greener energy sources to reduce air pollution emissions.

Prepayment meters strongly associated with multiple types of deprivation and emergency respiratory hospital admissions: an observational, cross-sectional study

BackgroundPrepayment meters (PPMs) require energy to be paid in advance. Action groups and media contend that PPMs are concentrated in the most vulnerable groups, prone to run out of credit...

Double trouble: The interaction of PM2.5 and O3 on respiratory hospital admissions

The co-occurrence of fine particulate matter (PM2.5) and ozone (O3) pollution during the warm season has become a growing public health concern. The interaction between PM2.5 and O3 and its contribution to disease burden associated with co-pollution has not been thoroughly examined. We collected data on hospital admissions for respiratory diseases from a city-wide hospital discharge database in Beijing between 2013 and 2019. City-wide 24-h mean PM2.5 and daily maximum 8-h mean O3 were averaged from 35 monitoring stations across Beijing. Conditional Poisson regression was employed to estimate the interaction between warm-season PM2.5 and O3 on respiratory admissions. A model incorporating a tensor product term was used to fit the non-linear interaction and estimate the number of respiratory admissions attributable to PM2.5 and O3 pollution. From January 18, 2013 to December 31, 2019, 1,191,308 respiratory admissions were recorded. We observed multiplicative interactions between warm-season PM2.5 and O3 on upper respiratory infections (P = 0.004), pneumonia (P = 0.002), chronic obstructive pulmonary disease (P = 0.041), and total respiratory disease (P < 0.001). PM2.5-O3 co-pollution during warm season exhibited a super-additive effect on respiratory admissions, with a relative excess risk due to interaction of 1.65% (95%CI: 0.46%–2.84%). There was a non-linear pattern of the synergistic effect between PM2.5 and O3 on respiratory admissions. Based on the World Health Organization global air quality guidelines, 12,421 respiratory admissions would be reduced if both daily PM2.5 and O3 concentrations had not exceeded the target (PM2.5 15 μg/m3, O3 100 μg/m3). The number of respiratory admissions attributable to either PM2.5 or O3 pollution decreased by 48.7% from 2013 to 2019. Prioritizing O3 control during the warm season is a cost-effective strategy for Beijing. These findings underscore the significance of concurrently addressing both PM2.5 pollution and O3 pollution during the warm season to alleviate the burden of respiratory diseases.

Respiratory Syncytial Virus-Associated Hospital Admissions by Deprivation Levels Among Children and Adults in Scotland.

Socioeconomic deprivation may predispose individuals to respiratory tract infections. We estimated RSV-associated hospitalizations by socioeconomic deprivation in Scotland. Using national routine health care records and virological surveillance from 2010 to 2016, we used a time-series linear regression model and a direct measurement based on ICD-10 coded diagnoses to estimate RSV-associated hospitalizations by Scottish Index of Multiple Deprivation (SIMD) quintile and age in comparison to influenza-associated hospitalizations. We estimated an annual average rate per 1000 people of 0.76 (95% CI: 0.43-0.90) in the least deprived group to 1.51 (1.03-1.79) for the most deprived group using model-based approach. The rate ratio (RR) was 1.96 (1.23-3.25), 1.60 (1.0-2.66), 1.35 (0.85-2.25), and 1.12 (0.7-1.85) in the 1st to 4th quintile versus the least deprived group. The pattern of RSV-associated hospitalization rates variation with SIMD was most pronounced in children 0-2y. The ICD-10 approach provided much lower rates than the model-based approach but yielded similar RR estimates between SIMD. Influenza-associated hospitalization rate generally increased with higher deprivation levels among individuals 1y+. Higher RSV and influenza hospitalization rates are related to higher deprivation levels. Differences between deprivation levels are most pronounced in infants and young children for RSV, and are more apparent among individuals 1y+ for influenza.

Estimation of historical daily airborne pollen concentrations across Switzerland using a spatio temporal random forest model

High concentrations of airborne pollen trigger seasonal allergies and possibly more severe adverse respiratory and cardiovascular health events. Predicting pollen concentration accurately is valuable for epidemiological studies, in order to study the effects of pollen exposure. We aimed to develop a spatiotemporal machine learning model predicting daily pollen concentrations at a spatial resolution of 1 × 1 km across Switzerland between 2000 and 2019. Daily pollen concentrations for five common, highly allergenic pollen types (hazel, alder, birch ash, and grasses) were available from fourteen measurement sites across Switzerland. We considered several predictors such as elevation, species distribution, wind speed, wind direction, temperature, precipitation, relative humidity, satellite-observed Normalized Difference Vegetation Index, and land-use (CORINE, Landsat satellite) to explain variation in pollen concentration. We employed feature engineering techniques to encode categorical variables and fill in missing values. We applied a random forest machine learning model with 5-fold cross-validation. The 5th–99th percentiles for concentrations of hazel, alder, birch, ash, and grass pollen at the pollen monitoring stations were 0–298, 0–306, 0–1153, 0–800, and 0–290 pollen grains/m3, respectively. The results of a predictive model for these concentrations yielded overall R2 values of 0.87, 0.84, 0.89, 0.88, and 0.91, and temporal root mean squared errors (RMSEs) of 16.07, 16.72, 69.04, 41.50, and 22.45 pollen grains/m3. An analysis of predictor variable importance indicates that the average national daily pollen concentration is the most important predictor of pollen concentrations for all pollen types. Furthermore, meteorological variables including temperature, total precipitation, humidity, boundary layer height, wind speed, and wind direction, as well as date and satellite features, are important factors in pollen concentration prediction. These spatiotemporal pollen models will serve to estimate individual residential pollen exposure for epidemiological studies. Resulting estimates will enable us to study respiratory and cardiovascular mortality and hospital admissions in Switzerland.

Silicosis and silicotuberculosis among respiratory hospital admissions: A cross-sectional survey in northern Tanzania.

There is little evidence describing respiratory disease among 40.5 million small-scale miners worldwide. To describe the prevalence and clinical characteristics of adult respiratory inpatients with silicosis and silicotuberculosis in a tertiary hospital in Tanzania that serves a small-scale mining region. In this retrospective, cross-sectional survey, patient files from admissions between 2010 and 2020 were opportunistically selected and included if a respiratory diagnosis had been made. Of 223 patients with respiratory conditions, 32 (14.3%; 95% confidence interval (CI) 10.0 - 19.6) were diagnosed with silicosis and 17 (7.6%; 95% CI 4.5 - 11.9) with silicotuberculosis. Mining was the most frequent occupation in those with silicosis (n=15/32; 46.9%) and silicotuberculosis (n=15/17; 88.2%). Of those with silicosis or silicotuberculosis, 26/49 (53.1%) were aged <45 years. Our study suggests that silicosis and silicotuberculosis are common among male and female respiratory inpatients with occupational exposure. The study highlights the role of occupational exposures in respiratory disease in developing economies. What the study adds. This retrospective, cross-sectional survey describes the prevalence of silicosis and silicotuberculosis among adult respiratory inpatients admitted to a tertiary hospital in northern Tanzania. It is the first study to describe the prevalence and characteristics of respiratory inpatients with silicosis and silicotuberculosis in a small-scale mining region of Africa. A high prevalence of silicosis (14.3%) and silicotuberculosis (7.6%) was found. Patients were often aged <45 years, and the majority required oxygen therapy.Implications of the findings. The high prevalence of advanced silicosis and silicotuberculosis in miners presenting at a young age raises concerns about high occupational silica exposures and, importantly, suggests a need for community-based research, which our team is planning to undertake.

Air pollution, mortality, and hospital admissions in Scotland: A 16 years register-based study

BackgroundAir pollution is associated with poor health and higher mortality. However, studies that link high spatial resolution air pollution data for several pollutants to individual-level data over prolonged period (&gt;10 years) and assess multiple health outcomes are limited. In this study, we investigated the association between 16-years exposure to air pollution and all-cause and cause-specific (cardiovascular, respiratory, cancer, infectious, and mental/behavioural disorders) mortality and hospital admissions in Scotland.&#x0D; MethodsIndividual-level data from the “Scottish Longitudinal Study” for 202,237 individuals (2002-2017) were linked to yearly concentrations of NO2, SO2, PM10, and PM2.5 pollutants at 1-Km2 spatial resolution using the individual’s residential postcode. The association between air pollution and mortality and hospital admissions was examined using Cox Proportional-Hazards and multilevel mixed-effects negative binomial models, respectively.&#x0D; ResultsIncreasing concentrations of PM2.5, PM10, and NO2 pollutants were associated with higher rates of all-cause, cardiovascular, respiratory, cancer, and infectious mortality and hospital admissions. Mortality from respiratory diseases increased by 6.2% (95%CI=2.8%-9.6%), 2.5% (95%CI=0.5%-4.5%), and 1.2% (95%CI=0.5%-1.9%) per 1 µg/m3 increase in PM2.5, PM10 and NO2 pollutants, respectively. Exposure to SO2 was mainly linked to mental/behavioural disorders mortality (HR=1.05; 95%CI=1.02-1.07) and respiratory hospital admissions (IRR=1.02; 95%CI=1.01-1.03).&#x0D; ConclusionsThis study revealed a positive association between air pollution and mortality and hospital admissions in Scotland. Interventions on air pollution through stricter environmental regulations could help ease the mortality and hospital admission burden, for both physical and mental illness.

Short-term effects of air pollution on hospital admissions of respiratory diseases in Hamadan, Iran, 2015 to 2021.

The short-term effects of air pollution on respiratory diseases have been reported in many countries. Urban areas are most affected because of the many sources of pollution and the large number of people living there. This study aims to investigate the effect of short-term exposure to air pollutants on respiratory hospital admissions in the city of Hamadan. In this ecological study, daily hospital admission data were collected from Shahid Beheshti Hospital in Hamadan. Daily information on air pollutants (CO, SO2, NO2, O3, PM2.5 and PM10) from Hamadan Department of Environment (DoE) organization and of climate factors from Hamadan Meteorological Office were collected. A negative binomial regression model was used to examine the effect of air pollution on daily respiratory hospitalizations. The effect of exposure to pollutants was measured whit different time lags (0-7 days). Furthermore, the effect of meteorological variables was controlled. Subgroup analyses were performed by sex and age group. A total of 12,454 hospitalizations for respiratory diseases were recorded. Results showed a strong and immediate effect of CO on respiratory hospital admissions with highest association at lag 7 (relative risk (RR) = 1.38, 95% CI: 1.33, 1.42). The effects of CO and SO2 on respiratory hospitalizations are greater for men than women. Regarding the short-term effects of PM2.5, SO2 and O3, adults (aged less than 65) were more prone to hospitalization for respiratory diseases. These results show that exposure to air pollution, particularly CO, may increase hospital admissions due to respiratory illness. So reducing the concentration of these pollutants can reduce the number of hospital admissions.

New concentration-response functions for seven morbidity endpoints associated with short-term PM2.5 exposure and their implications for health impact assessment

BackgroundMorbidity burdens from ambient air pollution are associated with market and non-market costs and are therefore important for policymaking. The estimation of morbidity burdens is based on concentration–response functions (CRFs). Most existing CRFs for short-term exposures to PM2.5 assume a fixed risk estimate as a log-linear function over an extrapolated exposure range, based on evidence primarily from Europe and North America. ObjectivesWe revisit these CRFs by performing a systematic review for seven morbidity endpoints previously assessed by the World Health Organization, including data from all available regions. These endpoints include all cardiovascular hospital admission, all respiratory hospital admission, asthma hospital admission and emergency room visit, along with the outcomes that stem from morbidity, such as lost work days, respiratory restricted activity days, and child bronchitis symptom days. MethodsWe estimate CRFs for each endpoint, using both a log-linear model and a nonlinear model that includes additional parameters to better fit evidence from high-exposure regions. We quantify uncertainties associated with these CRFs through randomization and Monte Carlo simulations. ResultsThe CRFs in this study show reduced model uncertainty compared with previous CRFs in all endpoints. The nonlinear CRFs produce more than doubled global estimates on average, depending on the endpoint. Overall, we assess that our CRFs can be used to provide policy analysis of air pollution impacts at the global scale. It is however important to note that improvement of CRFs requires observations over a wide range of conditions, and current available literature is still limited. DiscussionThe higher estimates produced by the nonlinear CRFs indicates the possibility of a large underestimation in current assessments of the morbidity impacts attributable to air pollution. Further studies should be pursued to better constrain the CRFs studied here, and to better characterize the causal relationship between exposures to PM2.5 and morbidity outcomes.

Future impacts of O3 on respiratory hospital admission in the UK from current emissions policies

Exposure to ambient ozone (O3) O3 is associated with impacts on human health. O3 is a secondary pollutant whose concentrations are determined inter alia by emissions of precursors such as oxides of nitrogen (NOx) and volatile organic compounds (VOCs), and thus future health burdens depend on policies relating to climate and air quality. While emission controls are expected to reduce levels of PM2.5 and NO2 and their associated mortality burdens, for secondary pollutants like O3 the picture is less clear. Detailed assessments are necessary to provide quantitative estimates of future impacts to support decision-makers. We simulate future O3 across the UK using a high spatial resolution atmospheric chemistry model with current UK and European policy projections for 2030, 2040 and 2050, and use UK regional population-weighting and latest recommendations on health impact assessment to quantify respiratory emergency hospital admissions associated with short-term effects of O3. We estimate 60,488 admissions in 2018, increasing by 4.2%, 4.5% and 4.6% by 2030, 2040 and 2050 respectively (assuming a fixed population). Including future population growth, estimated emergency respiratory hospital admissions are 8.3%, 10.3% and 11.7% higher by 2030, 2040 and 2050 respectively. Increasing O3 concentrations in future are driven by reduced nitric oxide (NO) in urban areas due to reduced emissions, with increases in O3 mainly occurring in areas with lowest O3 concentrations currently. Meteorology influences episodes of O3 on a day-to-day basis, although a sensitivity study indicates that annual totals of hospital admissions are only slightly impacted by meteorological year. While reducing emissions results in overall benefits to population health (through reduced mortality due to long-term exposure to PM2.5 and NO2), due to the complex chemistry, as NO emissions reduce there are associated local increases in O3 close to population centres that may increase harms to health.

Impact of ultrafine particles and total particle number concentration on five cause-specific hospital admission endpoints in three German cities

IntroductionNumerous studies have shown associations between daily concentrations of fine particles (e.g., particulate matter with an aerodynamic diameter ≤2.5 µm; PM2.5) and morbidity. However, evidence for ultrafine particles (UFP; particles with an aerodynamic diameter of 10–100 nm) remains conflicting. Therefore, we aimed to examine the short-term associations of UFP with five cause-specific hospital admission endpoints for Leipzig, Dresden, and Augsburg, Germany. Material and methodsWe obtained daily counts of (cause-specific) cardiorespiratory hospital admissions between 2010 and 2017. Daily average concentrations of UFP, total particle number (PNC; 10–800 nm), and black carbon (BC) were measured at six sites; PM2.5 and nitrogen dioxide (NO2) were obtained from monitoring networks. We assessed immediate (lag 0–1), delayed (lag 2–4, lag 5–7), and cumulative (lag 0–7) effects by applying station-specific confounder-adjusted Poisson regression models. We then used a novel multi-level meta-analytical method to obtain pooled risk estimates. Finally, we performed two-pollutant models to investigate interdependencies between pollutants and examined possible effect modification by age, sex, and season. ResultsUFP showed a delayed (lag 2–4) increase in respiratory hospital admissions of 0.69% [95% confidence interval (CI): −0.28%; 1.67%]. For other hospital admission endpoints, we found only suggestive results. Larger particle size fractions, such as accumulation mode particles (particles with an aerodynamic diameter of 100–800 nm), generally showed stronger effects (respiratory hospital admissions & lag 2–4: 1.55% [95% CI: 0.86%; 2.25%]). PM2.5 showed the most consistent associations for (cardio-)respiratory hospital admissions, whereas NO2 did not show any associations. Two-pollutant models showed independent effects of PM2.5 and BC. Moreover, higher risks have been observed for children. ConclusionsWe observed clear associations with PM2.5 but UFP or PNC did not show a clear association across different exposure windows and cause-specific hospital admissions. Further multi-center studies are needed using harmonized UFP measurements to draw definite conclusions on the health effects of UFP.

Low ambient temperature and hospitalization for cardiorespiratory diseases in Brazil

Studies have shown that larger temperature-related health impacts may be associated with cold rather than with hot temperatures. Although it remains unclear the cold-related health burden in warmer regions, in particular at the national level in Brazil. We address this gap by examining the association between low ambient temperature and daily hospital admissions for cardiovascular and respiratory diseases in Brazil between 2008 and 2018. We first applied a case time series design in combination with distributed lag non-linear modeling (DLNM) framework to assess the association of low ambient temperature with daily hospital admissions by Brazilian region. Here, we also stratified the analyses by sex, age group (15–45, 46–65, and >65 years), and cause (respiratory and cardiovascular hospital admissions). In the second stage, we performed a meta-analysis to estimate pooled effects across the Brazilian regions. Our sample included more than 23 million hospitalizations for cardiovascular and respiratory diseases nationwide between 2008 and 2018, of which 53% were admissions for respiratory diseases and 47% for cardiovascular diseases. Our findings suggest that low temperatures are associated with a relative risk of 1.17 (95% CI: 1.07; 1.27) and 1.07 (95% CI: 1.01; 1.14) for cardiovascular and respiratory admissions in Brazil, respectively. The pooled national results indicate robust positive associations for cardiovascular and respiratory hospital admissions in most of the subgroup analyses. In particular, for cardiovascular hospital admissions, men and older adults (>65 years old) were slightly more impacted by cold exposure. For respiratory admissions, the results did not indicate differences among the population groups by sex and age. This study can help decision-makers to create adaptive measures to protect public health from the effects of cold temperature.

Acute upper respiratory infections admissions in England and Wales.

Acute respiratory infections block the bronchial and/or nasal systems' airways. These infections may present in a variety of ways, from minor symptoms like the common cold to more serious illnesses like pneumonia or lung collapse. Acute respiratory infections cause over 1.3 million infant deaths under the age of 5 each year throughout the world. Among all illnesses, respiratory infections make for 6% of the worldwide disease burden. We aimed to examine the admissions related to acute upper respiratory infections admissions in England and Wales for the period between April 1999 and April 2020. This was an ecological study using publicly available data extracted from the Hospital Episode Statistics database in England, and the Patient Episode Database for Wales for the period between April 1999 and April 2020. The acute upper respiratory infections-related hospital admissions were identified using the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems 5th Edition (used by National Health Service [NHS] to classify diseases and other health conditions) (J00-J06). The total annual number of admissions for various reasons increased by 1.09-fold (from 92,442 in 1999 to 193,236 in 2020), expressing an increase in hospital admission rate of 82.5% (from 177.30 [95% confidence interval {CI}: 176.15-178.44] in 1999 to 323.57 [95%CI: 322.13-325.01] in 2020 per 100,000 persons, P < .01). The most common causes were acute tonsillitis and acute upper respiratory infections of multiple and unspecified sites, which accounted for 43.1% and 39.4%, respectively. Hospital admissions rate due to acute upper respiratory infections increased sharply during the study period. The rates of hospital admissions were higher among those in the age group below 15 and 75 years and above for the majority of respiratory infections, with a higher incidence in females.

All-cause and pathogen-specific lower respiratory tract infection hospital admissions in children younger than 5 years during the COVID-19 pandemic (2020–22) compared with the pre-pandemic period (2015–19) in South Africa: an observational study

Non-pharmaceutical interventions affected the circulation of and illness due to endemic respiratory pathogens during the COVID-19 pandemic. We investigated the incidence of admissions to hospital for overall and specific pathogen-associated lower respiratory tract infection (LRTI) during the COVID-19 pandemic compared with incidence in the pre-pandemic period. In this observational study, we analysed surveillance data for children younger than 5 years from two public hospitals in Soweto, South Africa, for all-cause LRTI, respiratory syncytial virus (RSV), influenza, human metapneumovirus, and Bordetella pertussis from Jan 1, 2015 to Dec 31, 2022. Data were obtained from an electronic database that includes information for all admissions to the general paediatric wards at the two hospitals, automatically identified by a computer program. We excluded children admitted to hospital with incidental SARS-CoV-2 infection or COVID-19 without LRTI diagnosis. Incidence during COVID-19 pandemic years (2020, 2021, and 2022) were compared with pre-pandemic rates (2015-19). Overall, there were 42 068 all-cause hospital admissions, including 18 303 all-cause LRTI hospital admissions, from Jan 1, 2015, to Dec 31, 2022, 17 822 (42·4%) of whom were female, 23 893 (57·0%) were male, and 353 (0·8%) had missing data. All-cause LRTI incidence risk ratio (IRR) was 30% lower in 2020 (IRR 0·70, 95% CI 0·67-0·74) and 13% lower in 2021 (0·87, 0·83-0·91), but 16% higher in 2022 (1·16, 1·11-1·21) compared with the pre-pandemic period. Furthermore, compared with the pre-pandemic period, incidence of RSV-associated LRTI (0·52, 0·45-0·58), influenza-associated LRTI (0·05, 0·02-0·11), and pulmonary tuberculosis (0·52, 0·41-0·65) were lower in 2020, with similar trends observed for human-metapneumovirus-associated LRTI, pertussis, and invasive pneumococcal disease (IPD). Compared with the pre-pandemic period, by 2022, RSV-associated LRTI incidence was similar (1·04, 0·95-1·14) and influenza-associated LRTI showed a non-significant increase (1·14, 0·92-1·39), whereas incidence remained lower for tuberculosis (0·79, 0·65-0·94) and IPD (0·51, 0·24-0·99). In 2022, the incidence of COVID-19-associated LRTI hospital admission (65 per 100 000 children younger than 5 years) was lower than pre-pandemic RSV-associated LRTI (0·23, 0·19-0·27) but higher than pre-pandemic influenza-associated LRTI (1·19, 0·97-1·45), although the difference was not significant. All-cause LRTI death in 2022 (57 per 100 000 children younger than 5 years) was 28% higher than in the pre-pandemic period (1·28, 1·03-1·58). The higher incidence of all-cause LRTI admissions to hospital in 2022 compared with the pre-pandemic period is partly due to ongoing COVID-19 admission to hospital, and could worsen if other endemic respiratory pathogens revert to pre-pandemic incidence. Interventions, including the introduction of vaccines for people who are pregnant that aim to prevent RSV and possibly COVID-19 in young children, are warranted. The Bill & Melinda Gates Foundation.