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Predicting nifedipine responses in preterm labor: a risk score incorporating ABCG2 polymorphisms and clinical factors
- Kim, Jungsun;
- Han, Jimin;
- Yee, Jeong;
- Kim, Young-Ju;
- Choi, Suk-joo;
- 외 1명
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Background: Nifedipine, a substrate of ATP-binding cassette superfamily G member 2 (ABCG2), is a tocolytic agent. This study aimed to construct a scoring system by exploring the association between ABCG2 polymorphisms and the treatment response of nifedipine in pregnant women. Methods: This study was conducted at a tertiary medical center. Eight single-nucleotide polymorphisms from the ABCG2 gene were selected. The adjusted OR (AOR) were calculated using multivariable analysis. A risk scoring system was constructed by dividing the AOR of independent risk factors by the minimum AOR to predict treatment failure. Results: A total of 69 patients were analyzed for treatment failure. Maternal age ≥33 years, contraction interval <4 minutes, and contraction intensity ≥20 mmHg were clinical risk factors associated with treatment failure. Patients with the ABCG2 rs2622604 and rs4148157 experienced an 8.6-fold and 4.3-fold increased risk of treatment failure, respectively. The predicted risks of treatment failure of patients who scored 0, 1–2, 3–4, 5–6, 7–8, and 9 points were 2.8%, 9.1%, 26.0%, 55.4%, 81.4%, and 93.9%, respectively. Conclusion: This novel risk scoring system may aid clinicians in identifying patients less likely to respond to nifedipine, improving individualized care in preterm labor management. © 2025 Informa UK Limited, trading as Taylor & Francis Group.
키워드
- 제목
- Predicting nifedipine responses in preterm labor: a risk score incorporating ABCG2 polymorphisms and clinical factors
- 저자
- Kim, Jungsun; Han, Jimin; Yee, Jeong; Kim, Young-Ju; Choi, Suk-joo; Gwak, Hyesun
- 발행일
- 2025-06
- 유형
- Article
- 저널명
- Pharmacogenomics
- 권
- 26
- 호
- 7-9
- 페이지
- 237 ~ 246