KUSUMOTO Kazumi

写真a

Affiliation

Health Care and Safety Center

Title

Associate Professor

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Degree 【 display / non-display

  • 博士(医学) ( 2010.5   宮崎大学 )

 

Papers 【 display / non-display

  • Rubella outbreak on Tokunoshima Island in 2004: a population-based study of pregnant

    Kusumoto K, Kaneko M, Sameshima H, Minematsu T, Furuta K, Ikenoue T

    Journal of Obstetrics and Gynaecology Research   36 ( 5 )   938 - 43   2010.9

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    Language:English   Publishing type:Research paper (scientific journal)  

  • 出生コホートによる風疹ウイルス抗体価の違い Reviewed

    楠元 和美

    周産期学シンポジウム抄録集   41 ( 0 )   65 - 69   2023

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人 日本周産期・新生児医学会  

    背景・目的 妊娠中の風疹ウイルス感染は,児に先天性風疹症候群を起こす可能性がある。日本では,風疹の排除を目指して,定期予防接種法の改正やそれに伴う暫定措置が行われてきた。予防接種により集団感染免疫閾値が上昇し,風疹の全国的な大流行はみられなくなったが,コロナ禍前には,依然として地域での流行がみられていた。風疹が排除されない限り,先天性風疹症候群の児が出生する可能性は残る。 現在,すべての妊婦に対して,妊娠初期に風疹抗体スクリーニングが行われている。風疹HI抗体価16倍以下(低抗体価)の妊婦には,産褥早期の風疹ワクチン接種が推奨されている。 そのような中,風疹抗体価は,ワクチン接種,自然感染に関わらず減少しており<sup>1)</sup>,風疹低抗体価の妊婦の割合が増えていること<sup>2,3)</sup>,若年妊婦になるほど風疹抗体価が低いことについて報告されている<sup>4)</sup>。 また,Okudaらは,産褥ワクチン接種の有効性について述べている<sup>5)</sup>が,産褥ワクチンの接種率には施設により幅があること<sup>6)</sup>などが報告されている。 そこで,我々は,定期予防接種制度の変遷に基づく出生コホート群における風疹抗体保有状況を調べ,産褥ワクチン接種率の状況および産褥ワクチンの次子妊娠時風疹抗体価への影響を明らかにすることとした。

    DOI: 10.34456/jspnmsympo.41.0_65

    CiNii Research

  • Low maternal immunoglobulin g avidity and single parity as adverse implications of human cytomegalovirus vertical transmission in pregnant women with immunoglobulin m positivity Reviewed

    Kaneko M., Muraoka J., Kusumoto K., Minematsu T.

    Viruses   13 ( 5 )   2021.5

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Viruses  

    Human cytomegalovirus (CMV) is the leading cause of neurological sequelae in infants. Understanding the risk factors of primary CMV infection is crucial in establishing preventive strategies. Thus, we conducted a retrospective cohort study to identify risk factors of vertical transmission among pregnant women with immunoglobulin (Ig) M positivity. The study included 456 pregnant women with IgM positivity. Information on age, parity, occupation, clinical signs, IgM levels, and IgG avidity index (AI) was collected. The women were divided into infected and non-infected groups. The two groups showed significant differences in IgM level, IgG AI, number of women with low IgG AI, clinical signs, and number of pregnant women with single parity. In the multiple logistic regression analysis, pregnant women with single parity and low IgG AI were independent predictors. Among 40 women who tested negative for IgG antibody in their previous pregnancy, 20 showed low IgG AI in their current pregnancy. Among the 20 women, 4 had vertical transmission. These results provide better understanding of the risk factors of vertical transmission in pregnant women with IgM positivity.

    DOI: 10.3390/v13050866

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  • A multiple regression model for predicting a high cytomegalovirus immunoglobulin G avidity level in pregnant women with IgM positivity Reviewed

    Kaneko M., Ohhashi M., Fujii Y., Minematsu T., Kusumoto K.

    International Journal of Infectious Diseases   100   1 - 6   2020.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:International Journal of Infectious Diseases  

    Objective: To establish a model to predict high cytomegalovirus (CMV) immunoglobulin (Ig)G avidity index (AI) using clinical information, to contribute to the mental health of CMV-IgM positive pregnant women. Methods: We studied 371 women with IgM positivity at ≤14 w of gestation. Information on the age, parity, occupation, clinical signs, IgM and G values, and IgG AI was collected. The IgG AI cut-off value for diagnosing congenital infection was calculated based on a receiver operating characteristic curve analysis. Between-group differences were assessed using the Mann–Whitney U-test or χ2 analysis. The factors predicting a high IgG AI were determined using multiple logistic regression. Results: The women were divided into high or low IgG AI groups based on an IgG AI cut-off value of 31.75. There were significant differences in the IgG and IgM levels, age, clinical signs, and the number of women with one parity between the two groups. In a multiple logistic regression analysis, IgM and the number of women with one parity were independent predictors. This result helped us establish a mathematical model that correctly classified the IgG AI level for 84.6% of women. Conclusion: We established a highly effective model for predicting a high IgG AI immediately after demonstrating IgM positivity.

    DOI: 10.1016/j.ijid.2020.08.034

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    PubMed

  • 胎内サイトメガロウイルス感染症における抗原血症の臨床上の有用性

    金子 政時, SAMESHIMA Hiroshi, IKENOUE Tsuyomu, KUSUMOTO Kazumi, MINEMATSU Toshio

    Pediatrics international : official journal of the Japan Pediatric Society   51 ( 1 )   1 - 4   2009.2

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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Books 【 display / non-display

  • 【性感染症と母子感染-最新の診断と管理】 母子感染 最新の管理法 風疹

    楠元 和美, 金子 政時, 鮫島 浩( Role: Joint author)

    臨床婦人科産科  2013.1 

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    Language:Japanese Book type:Scholarly book

Awards 【 display / non-display

  • Young scientist award of Asia&Oceania Federation of Obstetrics&Gynaecology

    2011.8   Asia&Oceania Federation of Obstetrics&Gynaecology  

    Rubella outbreak on Tokunoshima Island in 2004: a population-based study of pregnant

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    Country:Japan