Exposure to fine particulate matter and hospital admissions due to pneumonia: Effects on the number of hospital admissions and its costs

Patto, Nicole Vargas; Nascimento, Luiz Fernando Costa; Mantovani, Katia Cristina Cota; Vieira, Luciana Cristina Pompeo Ferreira da Silva; Moreira, Demerval Soares

doi:10.1590/1806-9282.62.04.342

Cited by 24 publications

(23 citation statements)

References 28 publications

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“…e present study also differs from the academic literature that shows an association between PM 2.5 and the increase in hospitalization for cardiorespiratory diseases [31][32][33]. e literature shows that for children, an increase in the PM 2.5 level increased the number of hospitalizations for respiratory diseases [34][35][36][37]. e academic literature also shows that the modification of the effects of PM 2.5 by high temperatures on human health may be related to the direct or indirect response of the body to heat stress [38].…”

Section: Resultscontrasting

confidence: 59%

Atmospheric Pollution and Hospitalization for Cardiovascular and Respiratory Diseases in the City of Manaus from 2008 to 2012

Sacramento¹,

Martins

Arbex

et al. 2020

The Scientific World Journal

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Introduction. Air pollution has been identified as a serious public health problem in the world’s major metropolises. Recent studies have shown that airborne particle concentrations are associated with a wide range of effects on human health, including increased hospital admissions for respiratory disease, enhanced asthma episodes, decreased lung function, and increased mortality. Objective. To relate the levels of air pollution and hospital admissions for cardiovascular and respiratory diseases in the city of Manaus in Brazil from 2008 to 2012. Method. This is an ecological time-series study among children (under 5 years of age) and elderly (above 60 years of age). Data on the daily number of hospitalizations for cardiovascular and respiratory diseases, pollutants (PM2.5), temperature, and humidity were used. Poisson generalized additive models were used to estimate the association between variables. Increases in hospitalizations for cardiovascular and respiratory diseases were estimated for the interquartile range (IQR) daily mean level of each variable studied, with a confidence interval of 95%. Results. Respiratory diseases and children: −0.40% (95% CI: −1.11, 0.30), 0.59% (95% CI: −0.35, 1.52), and 0.47% (95% CI: −3.28, 4.21) for PM2.5, temperature, and humidity, respectively. Respiratory diseases and elderly: 0.19% (95% CI: −0.93, 1.31), −0.10% (95% CI: −1.85, 1.65), and −6.17% (95% CI: −13.08, 0.74) for PM2.5, temperature, and humidity, respectively. Cardiovascular diseases and elderly: −0.18% (95% CI: −0.86, 0.50), −0.04% (95% CI: −1.10, 1.03), and −3.37% (95% CI: −7.59, 0.85) for PM2.5, temperature, and humidity, respectively. Conclusions. The time-series study found no significant association between PM2.5, temperature, humidity, and hospitalization, unlike the evidences provided by the present academic literature. Since there is no air quality monitoring network in Manaus and the option available in the present study was to reproduce some information obtained from remote sensing, there is a need for implementation of ground monitoring stations for health and environmental studies in the region.

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Section: Resultscontrasting

confidence: 59%

Atmospheric Pollution and Hospitalization for Cardiovascular and Respiratory Diseases in the City of Manaus from 2008 to 2012

Sacramento¹,

Martins

Arbex

et al. 2020

The Scientific World Journal

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“…The percentage increase in relative risk was 15% to PM 10 in Lag 0 and 7% in Lag 1 for NO 2 (Souza and Nascimento, 2016). Patto et al reported that a rise of 10 µg/m 3 in the concentration of PM 2.5 leads to significant increase between 25 ppt and 28 ppt in the risk of hospitalization due to pneumonia among children 4 and 5 days after exposure (Patto et al, 2016). A Rome study conducted by Belleudi et al demonstrated a 10-μg/m 3 increment in the level of PM 2.5 was correlated with a 2.82% (95% Figure 3.…”

Section: Discussionmentioning

confidence: 97%

The impact of airborne particulate matter on pediatric hospital admissions for pneumonia among children in Jinan, China: A case-crossover study

Wang

Pang

et al. 2017

Journal of the Air & Waste Management Association

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This study aims to examine the effect of short-term changes in the concentration of particulate matter of diameter ≤2.5 µm (PM 2.5 ) and ≤10 µm (PM 10 ) on pediatric hospital admissions for pneumonia in Jinan, China. It explores confoundings factors of weather, season, and chemical pollutants. Information on pediatric hospital admissions for pneumonia in 2014 was extracted from the database of Jinan Qilu Hospital. The relative risk of pediatric hospital admissions for pneumonia was assessed using a case-crossover approach, controlling weather variables, day of the week, and seasonality. The single-pollutant model demonstrated that increased risk of pediatric hospital admissions for pneumonia was significantly associated with elevated PM 2.5 concentrations the day before hospital admission and elevated PM 10 concentrations 2 days before hospital admission. An increment of 10 μg/m 3 in PM 2.5 and PM 10 was correlated with a 6% (95% CI 1.02--1.10) and 4% (95% CI 1.00-1.08) rise in number of admissions for pneumonia, respectively.

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“…Exposure to PM2.5 elevated the hospitalization four and five days after exposure. A 10 µg/m 3 decrease in concentration would imply 256 less hospital admissions and savings of approximately R$ 220,000 in a medium-sized city [15]. Other studies also show the connection between particulate matter and hospital admissions due to stroke as well as between children pneumonia and air pollution [16,17].…”

Section: Discussionmentioning

confidence: 96%

Air quality and the number of urgent interventions

Cvitković¹,

Barišin²,

Capak³

et al. 2018

Int. J. EI

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The purpose of this article is to analyse the correlation of air quality data with the number of emergency medical interventions and the number of patient visits to emergency clinic of the Integrated Emergency Hospital Admission (Croatian acronym: OHBP).The analysis was conducted on data regarding Slavonski Brod (Croatia) from 1 January to 31 August 2016, obtained from: (1) System eHitna -emergency medical services interventions (2) Patients' visit to OHBP-General Hospital Slavonski Brod (3) Environmental Protection Agency data regarding air quality for PM2.5, PM10 and H 2 S per day. The number of interventions ranged from 103 to 260 (M = 151), and the number of patients from 90 to 250 per day (M = 133). Overall the number of interventions was 37,482, and overall number of patients 32,757. The values of PM2.5 ranged from 1.73 to 500.11 µg/m 3 (M = 18.70), values of PM10 ranged from 3.17 to 520.21 µg/m 3 (M = 25.55), and values of H2S ranged from 0.62 to 12.43 µg/m 3 (M = 1.49).The values of PM2.5, PM10 and H2S have been analysed also depending on the limit values (25 µg/m 3 for PM2.5, 50 µg/m 3 for PM10 and 5 µg/m 3 for H2S).The values were within the limit values for PM2.5 in 64% of days, in 80% of days for PM10 and in 93% of days for H2S.There was a statistically significant weak correlation (r S = 0.333, p < 0.05) between PM2.5 and the number of patients per day, weak correlation (r S = 0.334, p < 0.05) between PM10 and the number of patients per day and a weak correlation (r S = 0.171, p < 0.05) between H2S and the number of patients per day.There was a statistically significant difference in the number of patients who were provided with medical assistance in the day depending on the values of PM2.5 (p < 0.001) and PM10 (p < 0.001), while for H2S the significance was borderline (p = 0.051).

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Exposure to fine particulate matter and hospital admissions due to pneumonia: Effects on the number of hospital admissions and its costs

Cited by 24 publications

References 28 publications

Atmospheric Pollution and Hospitalization for Cardiovascular and Respiratory Diseases in the City of Manaus from 2008 to 2012

Atmospheric Pollution and Hospitalization for Cardiovascular and Respiratory Diseases in the City of Manaus from 2008 to 2012

The impact of airborne particulate matter on pediatric hospital admissions for pneumonia among children in Jinan, China: A case-crossover study

Air quality and the number of urgent interventions

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