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March 25, 2026Journal of Inflammation Research0 citationsOpen Access

The Predictive Value of Systemic Inflammatory Markers from Failed Single-Dose Methotrexate Therapy in Tubal Ectopic Pregnancy: A Retrospective Single-Center Study

RLRuoxi LiuSLShuangdi Li

Key Points

  • The study aims to evaluate the role of systemic inflammatory markers as indicators of resistance to methotrexate therapy in tubal ectopic pregnancy.
  • Retrospective cohort study of 412 patients with tubal ectopic pregnancy treated with single-dose methotrexate.
  • Participants classified into successful and unsuccessful treatment groups based on therapy outcome.
  • Blood tests assessed systemic inflammatory parameters such as lymphocyte counts, NLR, and β-hCG levels.
  • Regression analyses identified independent risk factors for treatment failure.
  • A nomogram was developed to visually represent relationships between markers and outcomes.
  • 302 participants had successful treatment outcomes while 110 were unsuccessful.
  • NLR decreased by less than 40.3% on Day 4, and β-hCG levels increased on Day 4.
  • High β-hCG levels (> 342.25 mIU/mL) on Day 0 and lymphocyte counts (> 2.165 × 10 9 /L) on Day 4 predicted treatment failure.
  • The ROC curve area was 0.705, supporting the model's predictive ability.

Abstract

Purpose: Assessing the systemic inflammatory markers as a prognostic factor for resistance to methotrexate in ectopic pregnancy. Methods: This retrospective cohort study included 412 cases of patients with tubal ectopic pregnancy who received single-dose methotrexate (MTX) therapy at the Obstetrics and Gynecology Hospital affiliated with Tongji University from January 2019 to January 2024. Participants were categorized into successful and unsuccessful cohorts according to single-dose methotrexate treatment. Systemic inflammatory parameters, particularly lymphocyte counts, NLR, and β-hCG, were collected for each case from blood tests. Regression analyses were employed to pinpoint independent risk factors linked to treatment failure. A nomogram was developed to represent these relationships. The model’s ability to distinguish outcomes was assessed by the area under the curve (AUC). Results: The research sample included 302 successful individuals and 110 unsuccessful ones. Compared with baseline, NLR decreased by less than 40.3% on Day 4 (95% CI 1.26– 3.12), while β-hCG levels rose on Day 4 (95% CI: 1.14– 2.80). HCG levels > 342.25 mIU/mL on day 0 (95% CI 1.74– 4.40) and lymphocyte counts > 2.165 × 10 9 /L on day 4 (95% CI 1.39– 3.42) were also predictive factors for treatment failure. ROC curve area was 0.705 (95% CI: 0.650– 0.760), with a Hosmer–Lemeshow test P-value above 0.05 (P = 0.607). Conclusion: Among systemic inflammatory markers, NLR and lymphocyte levels significantly correlate with treatment failure. Incorporating them with β-hCG into the model enhances risk predictive capability. Keywords: systemic inflammatory markers, neutrophil-to-lymphocyte ratio, clinical predictive modeling, ectopic pregnancy, methotrexate

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69c37afeb34aaaeb1a67d0dchttps://doi.org/10.2147/jir.s578852
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