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<p>Few tools can objectively assess the risk of gingivitis in children. We developed a novel method to evaluate gingivitis by combining rapid saliva test systems. Seventy-six subjects (aged 3–19&#xa0;years) were included in the study. Gingival condition was evaluated using the papillary marginal attached (PMA) index. Liquid gargled by the subjects was examined using Perioscreen to measure the amount of hemoglobin, and the Salivary Multi Test (SMT) to quantify six factors related to oral health. PMA values were significantly higher in subjects with positive hemoglobin than in those with negative hemoglobin (<i>P</i> &lt; 0.001). Of the six SMT items, buffering capacity and protein showed correlations with PMA value (R<sup>2</sup> &gt; 0.25). Next, a multivariate receiver operating characteristic (ROC) analysis for the diagnosis of gingivitis was performed using PMA value as the outcome and hemoglobin, buffering capacity, and protein as variables. The results showed that the area under the curve (AUC) for the combination of the three variables, including hemoglobin, buffering capacity, and protein, was significantly higher than when any single variable was used (<i>P</i> &lt; 0.05). Our findings suggest that this new method could identify children at risk of gingivitis by complementing hemoglobin detection with protein and buffering capacity detection.</p>

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Development of a novel method to evaluate gingivitis in children by combining rapid saliva test systems

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月20日

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  • Yuko Iwamoto,
  • Chieko Mitsuhata,
  • Shunya Ikeda,
  • Yuya Ito,
  • Shuma Hamaguchi,
  • Eimi Tabata,
  • Yasuko Tsuge,
  • Ami Kaneki,
  • Masashi Ogawa,
  • Taku Nishimura,
  • Mariko Kametani,
  • Satoru Kusaka,
  • Yuria Asao,
  • Tatsuya Akitomo,
  • Katsuyuki Kozai,
  • Ryota Nomura

摘要

Few tools can objectively assess the risk of gingivitis in children. We developed a novel method to evaluate gingivitis by combining rapid saliva test systems. Seventy-six subjects (aged 3–19 years) were included in the study. Gingival condition was evaluated using the papillary marginal attached (PMA) index. Liquid gargled by the subjects was examined using Perioscreen to measure the amount of hemoglobin, and the Salivary Multi Test (SMT) to quantify six factors related to oral health. PMA values were significantly higher in subjects with positive hemoglobin than in those with negative hemoglobin (P < 0.001). Of the six SMT items, buffering capacity and protein showed correlations with PMA value (R2 > 0.25). Next, a multivariate receiver operating characteristic (ROC) analysis for the diagnosis of gingivitis was performed using PMA value as the outcome and hemoglobin, buffering capacity, and protein as variables. The results showed that the area under the curve (AUC) for the combination of the three variables, including hemoglobin, buffering capacity, and protein, was significantly higher than when any single variable was used (P < 0.05). Our findings suggest that this new method could identify children at risk of gingivitis by complementing hemoglobin detection with protein and buffering capacity detection.