Short-term impact of air pollution, noise and temperature on emergency hospital admissions in Madrid (Spain) due to liver and gallbladder diseases

BACKGROUND

Very few epidemiological studies have explored the environmental and meteorological risk factors that influence liver diseases and gallbladder disorders, and no studies have addressed the specific case of Spain.

METHODS

This is a retrospective ecological study conducted during 2013-2018. We analysed emergency admissions in the central area of the Region of Madrid for the following causes: Liver and gallbladder diseases (L&GB) (ICD-10: K70-K81); disorders of gallbladder (DGB) (ICD 10: K80-K81); liver disease (LD) (ICD 10: K70-K77); alcoholic liver disease (ALD) (ICD-10: K70); viral hepatitis (VH) (ICD10:B15-B19); and hepatic failure, not elsewhere classified (HFNS) (ICD-10: K72). Independent variables used: meteorological (maximum daily temperature (Tmax in ⁰C), minimum daily temperature (Tmin in ⁰C), and relative humidity (RH in %)); chemical air pollution (8-hO3, NO2, PM10, PM2.5 in μg/m3); and noise pollution (equivalent level of daily noise (Ld in dB(A)). Transformed variables: extreme heat in degrees (Theat); wet cold (WC); and high ozone. We fitted Poisson models, negative binomials and zero-inflated Poisson controlled for seasonality, day of the week, holidays, trend, and autoregressive trend. Based on these models, the percentage of cases attributable to statistically significant risk factors was then estimated.

RESULTS

In L&GB emergency admissions daily noise is related to 4.4% (CI95%: 0.8 7.9) of admissions; NO2 to 2.9% (CI95%: 0.1 5.7) and wet cold to 0.2% (CI95%: 0.8 7.9). Heat wave temperature was only related to ALD. In addition, the wet cold association with L&GB is also related to HFNS attributing 1.0% (CI95%: 0.3 1.8) of admissions for this cause.

CONCLUSIONS

Daily noise and NO2 are associated with more than 7% of urgent L&GB admissions. Both pollutants, are mainly emitted by road traffic. A reduction of traffic in cities would result in a reduction of emergency admissions due to this cause.

Short-term impact of extreme temperatures, relative humidity and air pollution on emergency hospital admissions due to kidney disease and kidney-related conditions in the Greater Madrid area (Spain)

While some studies report a possible association between heat waves and kidney disease and kidney-related conditions, there still is no consistent scientific consensus on the matter or on the role played by other variables, such as air pollution and relative humidity. Ecological retrospective time series study 01-01-2013 to 31-12-2018). Dependent variables: daily emergency hospitalisations due to kidney disease (KD), acute kidney injury (AKI), lithiasis (L), dysnatraemia (DY) and hypovolaemia (HPV). Independent variables: maximum and minimum daily temperature (Tmax, Tmin, °C), and daily relative humidity (RH, %). Other variables were also calculated, such as the daily temperature for risk of kidney disease (Theat, °C) and low daily hazardous relative humidity (HRH%). As variables of air pollution, we used the daily mean concentrations of PM10, PM2.5, NO2 and O3 in μg/m3. Based on these, we then calculated their daily excesses over World Health Organisation (WHO) guideline levels (hPM10, hPM2.5, hNO2 and hO3 respectively). Poisson family generalised linear models (GLMs) (link = log) were used to calculate relative risks (RRs), and attributable risks and attributable admissions. In the models, we controlled for the covariates included: seasonalities, trend, autoregressive component, day of the week, month and year. A statistically significant association was found between Theat and all the dependent variables analysed. The greatest AKI disease burden was attributable to Theat (2.2 % (1.7, 2.6) of attributable hospital admissions), followed by hNO2 (1.7 % (0.9, 3.4)) and HRH (0.8 (0.6, 1.1)). In the case of hypovolaemia and dysnatraemia, the greatest disease burden again corresponded to Theat, with 6.9 % (6.2, 7.6) and 5.7 (4.8, 6.6) of attributable hospital admissions respectively. Episodes of extreme heat exacerbate daily emergency hospital admissions due to kidney disease and kidney-related conditions; and attributable risks are likewise seen for low relative humidity and high ozone levels.

Short-term impact of noise, other air pollutants and meteorological factors on emergency hospital mental health admissions in the Madrid region

BACKGROUND

A number of environmental factors, such as air pollution, noise in urbanised settings and meteorological-type variables, may give rise to important effects on human health. In recent years, many studies have confirmed the relation between various mental disorders and these factors, with a possible impact on the increase in emergency hospital admissions due to these causes. The aim of this study was to analyse the impact of a range of environmental factors on daily emergency hospital admissions due to mental disorders in the Madrid Autonomous Region (MAR), across the period 2013-2018.

METHODOLOGY

Longitudinal ecological time series study analysed by Generalised Linear Models with Poisson regression, with the dependent variable being daily Emergency Hospital Mental Health Admissions (EHMHA) in the MAR, and the independent variable being mean daily concentrations of chemical pollutants, noise levels and meteorological variables.

RESULTS

EHMHA were related statistically significantly in the short term with diurnal noise levels. Relative risks (RRs) for total admissions due to mental disorders and self-inflicted injuries, in the case of diurnal noise was RR: 1.008 95%CI (1.003 1.013). Admissions attributable to diurnal noise account for 5.5% of total admissions across the study period. There was no association between hospital admissions and chemical air pollution.

CONCLUSION

Noise is a variable that shows a statistically significant short-term association with EHMHA across all age groups in the MAR region. The results of this study may serve as a basis for drawing up public health guidelines and plans, which regard these variables as risk factors for mental disorders, especially in the case of noise, since this fundamentally depends on anthropogenic activities in highly urbanised areas with high levels of traffic density.

How heat waves, ozone and sunlight hours affect endocrine and metabolic diseases emergency admissions? A case study in the region of Madrid (Spain)

BACKGROUND

Studies which analyse the joint effect of acoustic or chemical air pollution variables and different meteorological variables on neuroendocrine disease are practically nonexistent. This study therefore sought to analyse the impact of air pollutants and environmental meteorological variables on daily unscheduled admissions due to endocrine and metabolic diseases in the Madrid Region from January 01, 2013 to December 31, 2018.

MATERIAL AND METHODS

We conducted a longitudinal, retrospective, ecological study of daily time series analysed by Poisson regression, with emergency neuroendocrine-disease admissions in the Madrid Region as the dependent variable. The independent variables were: mean daily concentrations of PM₁₀, PM_2.5, NO₂ and O₃; acoustic pollution; maximum and minimum daily temperatures; hours of sunlight; relative humidity; wind speed; and air pressure above sea level. Estimators of the statistically significant variables were used to calculate the relative risks (RRs).

RESULTS

A statistically significant association was found between the increase in temperatures in heat waves, RR: 1.123 95% CI (1.001-1.018), and the number of emergency admissions, making it the main risk factor. An association between a decrease in sunlight and an increase in hospital admissions, RR: 1.005 95% CI (1.002 1.008), was likewise observed. Similarly, ozone, in the form of mean daily concentrations in excess of 44 μg/m³, had an impact on admissions due to neuroendocrine disease, RR: 1.010 95% CI (1.007-1.035). The breakdown by sex showed that in the case of women, NO₂ was also a risk factor, RR: 1.021 95% CI (1.007-1.035).

CONCLUSION

The results obtained in this study serve to identify risk factors for this disease, such as extreme temperatures in heat waves, O₃ or NO₂. The robust association found between the decrease in sunlight and increase in hospital admissions due to neuroendocrine disease serves to spotlight an environmental factor which has received scant attention in public health until now.

Hospital admissions/mortality ratio: a composite health indicator for monitoring NCD

Background

Our aim was to test the usefulness of a new tool to monitor NCD. We evaluated a composite indicator, the ratio of hospitalizations vs mortality rates (HMR), by assessing its capacity of identifying additional variability among regions. In this communication, we present the analysis corresponding to ischemic heart disease as an example.

Methods

We used the Hospital Morbidity Survey and the Death Statistics for Spain in 2016, both provided by the National Institute of Statistics, to calculate age-adjusted hospitalisation and mortality rates for ischemic heart disease for men and women in all 52 provinces of Spain. Subsequently, we computed HMR, the ratio of the age-adjusted of hospital morbidity and mortality rates. The correlation and linear adjustment between provincial mortality and morbidity rates, as well as mortality and HMR, were also estimated by sex.

Results

The rate of hospital admissions for ischemic heart disease in Spain was 407 per 100,000 in men and 129.4 in women. The mortality rate was 93.1 per 100,000 in men and 40.3 in women. In both sexes, the highest morbidity and mortality rates were observed in the south of Spain. Pearson correlation between morbidity and mortality rates were 0.53 (p < 0.01) in men and 0.75 (p < 0.05) in women. HMR showed a different spatial pattern with important variability. In men the average ratio was 4.3, with a range of 2.8 (Tenerife) to 7.1 (Melilla); in women the average was 3.2 with a range between1.7 (Zamora and Tenerife) and 4.7 (Barcelona), and in both sexes very high ratios were found in Catalonia's provinces. Association between mortality rate and HMR showed a negative correlation in both men (-0.39; p < 0.01) and women (-0.24; p < 0.05).

Conclusions

HMR is a composite indicator that provides complementary information regarding the individual analysis of hospital morbidity and mortality rates. HMR of ischemic heart disease shows an important geographical variability and an inverse association with mortality.

Towards an EU sustainable health information infrastructure. Integrating technical and political views and interest

Background

Health information systems (HIS) play a key role in providing information for decision-making. Europe lacks of an integrated HIS on non-communicable diseases (NCD) and Health Systems Performance (HSP) able to compare health problems across countries. NCDs are the main contributor to the EU-burden of disease, including the highest mortality rates. There is a general agreement among public health policy makers and researchers on the need of an integrated EU health information (HI) infrastructure to monitor risk factors, NCD and HSP. Such infrastructure would provide common inputs for public health and research to prioritize health policies. However, there is no EU-EEA consensus on how to go forward with this initiative.

Methods

The Information for Action (InfAct) project is aimed at establishing a sustainable HI infrastructure on HIS and HSP by cataloging resources, experience, research capacities and expertise into a 'one-stop shop'. Significant political will is needed to support and systematically feed a functional and permanent governance structure. InfAct provides a ground for Member States to discuss and generate consensus through two main boards: 1) Technical Dialogues (TD), composed by national experts, to discuss scientific aspects, feasibility and added value; and 2) Assembly of Members (AoM) where political representatives from Ministries of Health and Research provide the framework of political acceptance and guarantee of implementation and future development.

Results

Both boards reveal different interests and concerns. The AoM rather focused on resources and necessary political decisions based on expected returns. The TD focused on feasibility aspects and new adaptations required from current systems. The feedback provided by both boards is key to develop a sustainable EU-HIS infrastructure.

Conclusions

The TD and the AoM are key forums to provide feedback, guidance and advocacy to build a sustainable EU-HIS infrastructure

Use of non-health EU databases for health surveillance. En-risk application

Background

To combine health information and environmental health determinants is key, for epidemiological monitoring and health risk studies but its integration represents a challenge that requires specific expertise. An example of a potentially useful source of significant environmental data relevant for health is the European Pollutant Release and Transfer Register (E-PRTR), which allows estimating exposure to industrial pollution. Our aim was to develop an easy-to-use tool that allows to perform a screening suggesting the presence/absence of excess risk of a disease linked to residential proximity to industrial pollution.

Methods

En-risk: java interactive tool was developed to merge E-PRTR information and municipal mortality/morbidity data, to perform an exploratory spatial analysis of association between them by type of industrial facility using distance as proxy of exposure. The application needs cartography of the country and a database of the annual observed deaths (mortality) or cases (morbidity) and population broken down by age groups and sex per municipality. With this it calculates the expected number of deaths, the distance from the municipal centroids to the industrial location (classifying municipalities as exposed or not exposed), and perform the statistical analyses. Municipal lung cancer deaths (2005-2009) in Spain provided by the National Institute of Statistics were analyzed with this application as an example.

Results

En-risk gives a table of Relative Risk of mortality/morbidity due to exposure to industrial pollution by industrial sector and sex. The analysis in lung cancer deaths showed an excess of mortality associated to proximity to several industrial sectors.

Conclusions

En-risk facilitates the study of the relationship between industrial pollution and health around Europe. It can be used by public health services to identify health problems.

Effect of comorbidities on the association between age and hospital mortality after fall-related hip fracture in elderly patients

The relation between age and mortality after hip fracture was analyzed in elderly patients. 5.5% of the 31,884 patients died. Compared to those 65-74 years old, the multivariate OR for mortality for those 75-84 and ≥85 were 2.11 (95% CI: 1.61-2.77) and 4.10 (95% CI: 3.14-5.35).

PURPOSE

To analyze the impact of Elixhauser comorbidities on the relation between age and mortality after hip fracture in elderly patients.

METHODS

Cross-sectional study of the population ≥65 years old hospitalized in Spain in 2013 with a diagnosis of fall-related hip fracture in the Basic Minimum Set Data (BMSD). The impact of Elixhauser comorbidities on the association between mortality and age groups (65-74, 75-84, ≥85) was analyzed by logistic regression models with progressive adjustment for demographic variables and comorbidities introduced individually.

RESULTS

We identified 31,884 patients, 5.5% of which died during hospitalization. Compared with those 65-74 years old, the multivariate OR of mortality for those 75-84 and ≥85 years old decreased from 2.23 (95% CI: 1.71-2.90) and 4.57 (95% CI: 3.54-5.90) to 2.11 (95% CI: 1.61-2.77) and 4.10 (95% CI: 3.14-5.35), respectively after adjustment for comorbidities. The OR of mortality for men was 1.77 (95% CI: 1.58-1.98) compared to women. The comorbidities with higher OR for mortality were congestive heart failure (OR: 3.88; 95% CI: 3.42-4.41), metastasis (OR: 3.44; 95% CI: 2.27-5.20), fluid and electrolyte disorders (OR: 2.95; 95% CI: 2.47-3.52), coagulation deficiencies (OR: 2.87; 95% CI: 2.08-3.96), and liver disease (OR: 2.40; 95% CI: 1.82-3.17).

CONCLUSIONS

The association between age and mortality after hip fracture remains after adjusting for numerous comorbidities. However, some potentially controllable disorders are associated with an increased risk for mortality, thus, improving their management could benefit survival.