New Epidemiological and Clinical Signatures of 18 Pathogens from Respiratory Tract Infections Based on a 5-Year Study

Respiratory tract infections (RTIs) are a heavy burden on society. However, due to the complex etiology of RTIs, the clinical diagnosis, treatment, and prevention of these infections remain challenging, especially in developing countries. To determine the epidemiological and clinical characteristics...

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Veröffentlicht in:PloS one 2015-09, Vol.10 (9), p.e0138684-e0138684
Hauptverfasser: Liao, Xiaohong, Hu, Zhengbo, Liu, Wenkuan, Lu, Yan, Chen, Dehui, Chen, Meixin, Qiu, Shuyan, Zeng, Zhiqi, Tian, Xingui, Cui, Hong, Zhou, Rong
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container_title PloS one
container_volume 10
creator Liao, Xiaohong
Hu, Zhengbo
Liu, Wenkuan
Lu, Yan
Chen, Dehui
Chen, Meixin
Qiu, Shuyan
Zeng, Zhiqi
Tian, Xingui
Cui, Hong
Zhou, Rong
description Respiratory tract infections (RTIs) are a heavy burden on society. However, due to the complex etiology of RTIs, the clinical diagnosis, treatment, and prevention of these infections remain challenging, especially in developing countries. To determine the epidemiological and clinical characteristics of 18 respiratory pathogens, we analyzed 12,502 patients with acute respiratory infections (ARIs) by performing polymerase chain reaction (PCR) on patient pharyngeal swabs. Samples positive for at least 1 pathogen were obtained from 48.42% of the total patients. Of these pathogen-positive patients, 17.99% were infected with more than 1 pathogen. Of the 18 pathogens analyzed, four were detected with a positive detection rate (PDR) > 5%: influenza A virus (IAV) > respiratory syncytial virus (RSV) >Mycoplasma pneumoniae (MP) > human coronavirus (HCoV). The pathogens with the 4 highest co-infection rates (CIRs) were as follows: HCoV > human bocavirus (HBoV) > enterovirus (EV) > parainfluenza virus (PIV). The overall positive detection rate (PDR) varied significantly according to patient age, the season and year of detection, and the disease subgroup, but not according to patient sex. The individual PDRs of the pathogens followed 3 types of distributions for patient sex, 4 types of distributions for patient age, 4 types of seasonal distributions, 2 types of seasonal epidemic trends, 4 types of yearly epidemic trends, and different susceptibility distributions in the disease subgroups. Additionally, the overall CIR showed significantly different distributions according to patient sex, patient age, and the disease subgroup, whereas the CIRs of individual pathogens suggested significant preference characteristics. IAV remains the most common pathogen among the pathogens analyzed. More effort should be directed toward the prevention and control of pathogens that show a trend of increasing incidence such as HCoV, human adenovirus (ADV), and RSV. Although clinically distinguishing specific pathogens responsible for RTIs is difficult, the epidemiological and clinical characteristics of the various RTI-causing agents could provide clues for clinicians, thereby informing decisions regarding prevention and medication and guiding appropriate public health strategies.
doi_str_mv 10.1371/journal.pone.0138684
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However, due to the complex etiology of RTIs, the clinical diagnosis, treatment, and prevention of these infections remain challenging, especially in developing countries. To determine the epidemiological and clinical characteristics of 18 respiratory pathogens, we analyzed 12,502 patients with acute respiratory infections (ARIs) by performing polymerase chain reaction (PCR) on patient pharyngeal swabs. Samples positive for at least 1 pathogen were obtained from 48.42% of the total patients. Of these pathogen-positive patients, 17.99% were infected with more than 1 pathogen. Of the 18 pathogens analyzed, four were detected with a positive detection rate (PDR) &gt; 5%: influenza A virus (IAV) &gt; respiratory syncytial virus (RSV) &gt;Mycoplasma pneumoniae (MP) &gt; human coronavirus (HCoV). The pathogens with the 4 highest co-infection rates (CIRs) were as follows: HCoV &gt; human bocavirus (HBoV) &gt; enterovirus (EV) &gt; parainfluenza virus (PIV). The overall positive detection rate (PDR) varied significantly according to patient age, the season and year of detection, and the disease subgroup, but not according to patient sex. The individual PDRs of the pathogens followed 3 types of distributions for patient sex, 4 types of distributions for patient age, 4 types of seasonal distributions, 2 types of seasonal epidemic trends, 4 types of yearly epidemic trends, and different susceptibility distributions in the disease subgroups. Additionally, the overall CIR showed significantly different distributions according to patient sex, patient age, and the disease subgroup, whereas the CIRs of individual pathogens suggested significant preference characteristics. IAV remains the most common pathogen among the pathogens analyzed. More effort should be directed toward the prevention and control of pathogens that show a trend of increasing incidence such as HCoV, human adenovirus (ADV), and RSV. 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This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Liao et al 2015 Liao et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-878c6d92d4bf2b8f4fbabf9e95c926fed0ae9bdaeaeace8f04f8bd812ab6fd603</citedby><cites>FETCH-LOGICAL-c592t-878c6d92d4bf2b8f4fbabf9e95c926fed0ae9bdaeaeace8f04f8bd812ab6fd603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583381/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583381/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23870,27928,27929,53795,53797</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26406339$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Schildgen, Oliver</contributor><creatorcontrib>Liao, Xiaohong</creatorcontrib><creatorcontrib>Hu, Zhengbo</creatorcontrib><creatorcontrib>Liu, Wenkuan</creatorcontrib><creatorcontrib>Lu, Yan</creatorcontrib><creatorcontrib>Chen, Dehui</creatorcontrib><creatorcontrib>Chen, Meixin</creatorcontrib><creatorcontrib>Qiu, Shuyan</creatorcontrib><creatorcontrib>Zeng, Zhiqi</creatorcontrib><creatorcontrib>Tian, Xingui</creatorcontrib><creatorcontrib>Cui, Hong</creatorcontrib><creatorcontrib>Zhou, Rong</creatorcontrib><title>New Epidemiological and Clinical Signatures of 18 Pathogens from Respiratory Tract Infections Based on a 5-Year Study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Respiratory tract infections (RTIs) are a heavy burden on society. However, due to the complex etiology of RTIs, the clinical diagnosis, treatment, and prevention of these infections remain challenging, especially in developing countries. To determine the epidemiological and clinical characteristics of 18 respiratory pathogens, we analyzed 12,502 patients with acute respiratory infections (ARIs) by performing polymerase chain reaction (PCR) on patient pharyngeal swabs. Samples positive for at least 1 pathogen were obtained from 48.42% of the total patients. Of these pathogen-positive patients, 17.99% were infected with more than 1 pathogen. Of the 18 pathogens analyzed, four were detected with a positive detection rate (PDR) &gt; 5%: influenza A virus (IAV) &gt; respiratory syncytial virus (RSV) &gt;Mycoplasma pneumoniae (MP) &gt; human coronavirus (HCoV). The pathogens with the 4 highest co-infection rates (CIRs) were as follows: HCoV &gt; human bocavirus (HBoV) &gt; enterovirus (EV) &gt; parainfluenza virus (PIV). 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liao, Xiaohong</au><au>Hu, Zhengbo</au><au>Liu, Wenkuan</au><au>Lu, Yan</au><au>Chen, Dehui</au><au>Chen, Meixin</au><au>Qiu, Shuyan</au><au>Zeng, Zhiqi</au><au>Tian, Xingui</au><au>Cui, Hong</au><au>Zhou, Rong</au><au>Schildgen, Oliver</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New Epidemiological and Clinical Signatures of 18 Pathogens from Respiratory Tract Infections Based on a 5-Year Study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-09-25</date><risdate>2015</risdate><volume>10</volume><issue>9</issue><spage>e0138684</spage><epage>e0138684</epage><pages>e0138684-e0138684</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Respiratory tract infections (RTIs) are a heavy burden on society. However, due to the complex etiology of RTIs, the clinical diagnosis, treatment, and prevention of these infections remain challenging, especially in developing countries. To determine the epidemiological and clinical characteristics of 18 respiratory pathogens, we analyzed 12,502 patients with acute respiratory infections (ARIs) by performing polymerase chain reaction (PCR) on patient pharyngeal swabs. Samples positive for at least 1 pathogen were obtained from 48.42% of the total patients. Of these pathogen-positive patients, 17.99% were infected with more than 1 pathogen. Of the 18 pathogens analyzed, four were detected with a positive detection rate (PDR) &gt; 5%: influenza A virus (IAV) &gt; respiratory syncytial virus (RSV) &gt;Mycoplasma pneumoniae (MP) &gt; human coronavirus (HCoV). The pathogens with the 4 highest co-infection rates (CIRs) were as follows: HCoV &gt; human bocavirus (HBoV) &gt; enterovirus (EV) &gt; parainfluenza virus (PIV). The overall positive detection rate (PDR) varied significantly according to patient age, the season and year of detection, and the disease subgroup, but not according to patient sex. The individual PDRs of the pathogens followed 3 types of distributions for patient sex, 4 types of distributions for patient age, 4 types of seasonal distributions, 2 types of seasonal epidemic trends, 4 types of yearly epidemic trends, and different susceptibility distributions in the disease subgroups. Additionally, the overall CIR showed significantly different distributions according to patient sex, patient age, and the disease subgroup, whereas the CIRs of individual pathogens suggested significant preference characteristics. IAV remains the most common pathogen among the pathogens analyzed. More effort should be directed toward the prevention and control of pathogens that show a trend of increasing incidence such as HCoV, human adenovirus (ADV), and RSV. Although clinically distinguishing specific pathogens responsible for RTIs is difficult, the epidemiological and clinical characteristics of the various RTI-causing agents could provide clues for clinicians, thereby informing decisions regarding prevention and medication and guiding appropriate public health strategies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26406339</pmid><doi>10.1371/journal.pone.0138684</doi><oa>free_for_read</oa></addata></record>
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1932-6203
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subjects Adenoviruses
Adolescent
Adult
Age
Asthma
Bacteria - classification
Bacteria - genetics
Bacteria - isolation & purification
Bronchitis
Cancer
Child
Child, Preschool
China - epidemiology
Coronaviridae
Coronaviruses
Developing countries
Epidemics
Epidemiology
Etiology
Female
Hospitalization
Hospitals
Humans
Infant
Infant, Newborn
Infections
Influenza
Influenza A
Laboratories
LDCs
Male
Middle Aged
Parainfluenza
Pathogens
Patients
Pediatrics
Pharynx
Pharynx - microbiology
Pneumonia
Polymerase chain reaction
Prevention
Public health
Respiratory diseases
Respiratory syncytial virus
Respiratory tract
Respiratory tract diseases
Respiratory tract infection
Respiratory Tract Infections - classification
Respiratory Tract Infections - epidemiology
Respiratory Tract Infections - microbiology
Seasons
Sex
Subgroups
Trends
Viral infections
Viruses
Viruses - classification
Viruses - genetics
Viruses - isolation & purification
Young Adult
title New Epidemiological and Clinical Signatures of 18 Pathogens from Respiratory Tract Infections Based on a 5-Year Study
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