Evidence map›Paper›PMID 42895275›Full record

ArticleJournal of global health2026

Systemic inflammatory indices for predicting severe placenta accreta spectrum: a retrospective cohort study.

Xiafen Lu, Xiaoyun Lei, Congcong Guo, Qian Tang, Xiaomei Zhang, Wenting Mai, Ming Mo, Meiling Yuan, Wen Wang, Dazhi Fan

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In one paragraph

Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiafen LuDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Xiaoyun LeiDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Congcong GuoReproductive Medicine Center, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Qian TangDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Xiaomei ZhangDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Wenting MaiDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Ming MoDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Meiling YuanDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Wen WangReproductive Medicine Center, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Dazhi FanDepartment of Obstetrics, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Placenta Accreta Spectrum (PAS) disorders are associated with substantial maternal morbidity, and distinguishing mild from severe forms prenatally remains difficult. Inflammatory indices derived from peripheral blood counts have emerged as promising biomarkers, yet their role in grading PAS severity has been insufficiently investigated. This study aimed to assess the discriminative value of the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and other inflammatory indices for differentiating severe from mild PAS within an already diagnosed PAS population in late pregnancy. Methods: This retrospective single-centre cohort study included 1,276 patients with histopathologically confirmed PAS. Third-trimester neutrophil, lymphocyte, monocyte, and platelet counts were used to derive neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), SII, and SIRI. Multivariable logistic regression, receiver operating characteristic curve analysis, and decision curve analysis (DCA) were conducted. Results: Compared with the mild PAS group (n = 1,060), the severe PAS group (n = 216) showed significantly lower SIRI, SII, NLR, and PLR values (all P < 0.001). SIRI demonstrated moderate discriminative performance (area under the curve = 0.712). DCA suggested its potential clinical usefulness across threshold probabilities. Conclusions: Lower third-trimester SIRI, SII, NLR, and PLR values are associated with severe PAS. SIRI shows moderate diagnostic performance and may serve as a cost-effective adjunct to imaging for prenatal risk stratification. Prospective validation is warranted.

Indexed as

InflammationPlacenta AccretaAdultBiomarkersFemaleHumansPregnancyRetrospective StudiesSeverity of Illness IndexBiomarkersplacenta accreta spectrum disordersprenatal diagnosisrisk stratificationsystemic immune-inflammation indexsystemic inflammation response index

Identifiers

PMID42895275
PMCPMC13679349

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.