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    <identifier>10.57760/sciencedb.o00130.04711</identifier>
    <datestamp>2024-11-15T14:05:05Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2024-11-15</dc:date>
  <dc:title>Analysis of antibody detection data of Mycoplasma pneumoniae in a hospital in Beijing City from 2017 to 2024</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.o00130.04711</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Objective&amp;nbsp;&amp;nbsp;To explore&amp;nbsp;the distribution characteristics of Mycoplasma pneumoniae (MP) antibody detection data in hospital, provide data reference for the prevention and control of MP infections. Methods&amp;nbsp;&amp;nbsp;A single-center retrospective study was conducted on 20 639 patients with suspected Mycoplasma pneumoniae (MP) infection from March 2017 to February 2024 at the outpatient, emergency,&amp;nbsp;and inpatient departments of Peking University Third Hospital. The age range was from 0 to 105 years, with 11 286 males and 9 353 females. The passive agglutination method was used to detect MP antibodies in patient serum, and SPSS 22.0 statistical software was used for statistical analysis. The&amp;nbsp;&amp;chi;&amp;sup2; test was used to analyze the differences in positive rates of MP antibodies among different genders, age groups, seasons, years, and antibody titers. The trend&amp;chi;&amp;sup2;&amp;nbsp;test was used to analyze the trend of detection rates with age changes.&amp;nbsp;Results&amp;nbsp;&amp;nbsp;Among the 20 639 patients, the positive rate of MP antibodies&amp;nbsp;was 23.19%(4 786/20 639),with a higher positive rate in females was 27.16%(2 540/9 353) compared to males (19.90%,2 246/11 286;&amp;chi;&amp;sup2;=151.191, P&amp;lt;0.01).&amp;nbsp;The positive rate in children&amp;nbsp;was 37.13%(2 731/7 356)significantly higher than in adults(15.47%,&amp;nbsp;2 055/13 283;&amp;chi;&amp;sup2;=1 246.433, P&amp;lt;0.01).&amp;nbsp;The 6&amp;nbsp;to&amp;nbsp;&amp;lt;12&amp;nbsp;year age group (63.11%,1 223/1 938) had the highest positive rate of MP antibodies, followed by 12 to&amp;nbsp;&amp;lt;18&amp;nbsp;year old group (56.78%,385/678). The positive rate of MP antibodies increased with age from 0 to 12&amp;nbsp;years old but gradually decreased after 12&amp;nbsp;to &amp;lt;18&amp;nbsp;years old (&amp;chi;&amp;sup2; =3 848.393,P&amp;nbsp;trend&amp;lt;0.01). The annual MP antibody positivity rates from 2017 to 2023 were 26.92%, 29.23%, 27.46%, 18.43%, 17.16%, 11.89%, and 23.72%, respectively, with statistically significant differences among the years (&amp;chi;&amp;sup2; = 387.519, P&amp;lt; 0.01). The MP antibody positive rate was high in autumn over the course of 7 years&amp;nbsp;(&amp;chi;&amp;sup2; = 242.560, P&amp;lt; 0.01). The positive rates of MP antibodies for the years 2017-2019, 2020-2022, and 2023-2024 are (28.00%, 16.60%, 21.84%), respectively, with statistically significant differences among the three periods(&amp;chi;&amp;sup2;=295.845, P&amp;lt;0.01).The monthly positive rates of MP antibody in different years were (5.63% to 43.11%).&amp;nbsp;In the MP antibody titer, qualitative testing was conducted on 4&amp;nbsp;563 patients and 16&amp;nbsp;076 patients had a semi-quantitative MP antibody titer of&amp;nbsp;&amp;ge;1:160 with a positive rate of 16.03%(2 577/16 076). Among the proportion of children with high titers of MP antibodies&amp;nbsp;&amp;ge;1:1&amp;nbsp;280 was 11.11%(798/7 182).&amp;nbsp;Conclusion&amp;nbsp;&amp;nbsp;The positive rates of MP antibodies&amp;nbsp;in hospital in the Beijing area vary&amp;nbsp;among different genders, ages, and seasons, with a higher incidence in autumn, mainly among children and adolescents.</dc:description>
  <dc:subject>Mycoplasma pneumoniae; Antibody; Passive agglutination; Children; Adults</dc:subject>
  <dc:creator>Shiren.Yan</dc:creator>
  <dc:creator>Hongchao.Liu</dc:creator>
  <dc:creator>Jiansuo.Zhou</dc:creator>
  <dc:creator>Liyan.Cui</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

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