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      Impacts of short-term low-level exposure to air pollutants on hospital admissions for pulmonary sepsis in elderly patients

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          Abstract

          Background

          Acute exposures to high levels of air pollutants are thought to be associated with hospitalization of patients with lung infection, while relatively little is known about the association between air pollutants and HOSPITAL ADMISSIONS FOR pulmonary sepsis.

          Objectives

          To assess the correlation between low-level exposure to air pollutants and the hospitalizations for pulmonary sepsis in elderly patients.

          Methods

          A total of 249 elderly patients with pulmonary sepsis from January 2018 to December 2020 in Shenzhen people’s hospital were included. The data regarding hospitalizations for pulmonary sepsis, meteorological factors, and daily average levels of air pollutants on single-day lags (Lag0 to Lag7) in Shenzhen were collected. Low-level exposure was defined as the annual means of air pollutants below the levels of the Ambient Air Quality Standard (AAQS) in China (NO. GB3095-2012) and/or Global Air Quality Guidelines (AQG). A time-stratified case-crossover study design approach was used to evaluate the associations between exposure to air pollutants and incidence of the disease, univariate and multivariate logistic regression analysis to analyze the association between levels of air pollutants and hospitalizations for pulmonary sepsis in elderly patients.

          Results

          Exposure to PM 1( P = 0.007, Lag 2 day; P = 0.038, Lag6 day), PM 2.5( P = 0.046, Lag2 day), PM 10( P = 0.048, Lag4 day), and O 3( P = 0.044, Lag6 day) was positively correlated with elevated risk of hospitalizations for pulmonary sepsis. In addition, logistic regression analysis revealed that exposure to PM 1 (OR = 1.833, 95%CI:1.032 ~ 3.256, Lag6 day) and O 3 (OR = 2.091, 95%CI:1.019 ~ 4.289, Lag6 day) were the independent risk factors of pulmonary sepsis in elderly patients.

          Conclusion

          Our results demonstrate that short-term low-level exposure to PM 1 and O 3 could elevate the risk of hospitalizations for pulmonary sepsis in elderly patients in Shenzhen, providing evidence for developing early warning and screening systems for pulmonary sepsis.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12890-023-02652-9.

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          Most cited references17

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          The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

          Definitions of sepsis and septic shock were last revised in 2001. Considerable advances have since been made into the pathobiology (changes in organ function, morphology, cell biology, biochemistry, immunology, and circulation), management, and epidemiology of sepsis, suggesting the need for reexamination.
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            User's guide to correlation coefficients

            When writing a manuscript, we often use words such as perfect, strong, good or weak to name the strength of the relationship between variables. However, it is unclear where a good relationship turns into a strong one. The same strength of r is named differently by several researchers. Therefore, there is an absolute necessity to explicitly report the strength and direction of r while reporting correlation coefficients in manuscripts. This article aims to familiarize medical readers with several different correlation coefficients reported in medical manuscripts, clarify confounding aspects and summarize the naming practices for the strength of correlation coefficients.
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              The Lancet Commission on pollution and health

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                Author and article information

                Contributors
                chenrc@vip.163.com
                shi.fei@szhospital.com
                Journal
                BMC Pulm Med
                BMC Pulm Med
                BMC Pulmonary Medicine
                BioMed Central (London )
                1471-2466
                17 November 2023
                17 November 2023
                2023
                : 23
                : 448
                Affiliations
                [1 ]GRID grid.440218.b, ISNI 0000 0004 1759 7210, Emergency Department, , Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), ; Shenzhen, 518020 Guangdong China
                [2 ]Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, ( https://ror.org/02n2g5x76) Shenzhen, Guangdong China
                [3 ]GRID grid.440218.b, ISNI 0000 0004 1759 7210, Key Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, , Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), ; Shenzhen, 518020 Guangdong China
                [4 ]GRID grid.440218.b, ISNI 0000 0004 1759 7210, Department of Infectious Diseases, Institute of Shenzhen Respiratory Diseases, , Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), ; Shenzhen, 518020 Guangdong China
                Article
                2652
                10.1186/s12890-023-02652-9
                10656823
                37978503
                6be9f037-3e9b-4d65-a294-ae47d55bfe74
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 February 2023
                : 11 September 2023
                Funding
                Funded by: the Natural Science Foundation of Guangdong Province, China
                Award ID: 2020A151501040
                Funded by: the Natural Science Foundation of China
                Award ID: 81300012
                Funded by: Appropriate Health Technology Promotion Project of Guangdong Province
                Award ID: 202006181142034974
                Funded by: Scientific Research and Cultivation Project of Shenzhen People’s Hospital
                Award ID: SYKYPY201912
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Respiratory medicine
                low-level exposure,air pollutants,pulmonary sepsis,elderly,lag-effect
                Respiratory medicine
                low-level exposure, air pollutants, pulmonary sepsis, elderly, lag-effect

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