Evaluation of Inflammatory Indices in Predicting Adverse Perinatal Outcomes in Pregnant Patients Undergoing Surgery for Acute Appendicitis: A Retrospective Cohort Study From a Tertiary Care Center.

Isik E, Agaoglu Z, Karagoz C, Sezgin A, Altindis Bal A, Sahin D

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Preoperative LMR and SIRI from routine blood counts predicted adverse perinatal outcomes in pregnant women undergoing appendectomy. Results are cut off.

What was studied

Single-center retrospective cohort of 98 pregnant women with appendectomy (December 2019-December 2025), using multivariable logistic regression and ROC analysis.

Key findings

Women with composite adverse perinatal outcome had lower gestational age, birth weight and Apgar scores and more NICU admissions
LMR and SIRI emerged as independent predictors with high predictive accuracy

Clinical relevance

Could provide a free risk flag from routine bloods, though prospective confirmation is required.

Who should care

Obstetrics & Gynaecology

Limitations

The results are truncated, so AUCs, cutoffs and odds ratios are not available; small single-center retrospective sample.

LMR and SIRI look promising but need multicenter validation.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

AIM

The aim of this study was to investigate the predictive efficacy of inflammatory indices in predicting adverse perinatal outcomes in pregnant patients who underwent surgery for acute appendicitis.

METHODS

This single-center retrospective cohort study included 98 pregnant women who underwent appendectomy for acute appendicitis between December 2019 and December 2025 at a tertiary care hospital. Patients were classified according to the presence of composite adverse perinatal outcome (CAPO). The predictive value of preoperative inflammatory indices derived from routine complete blood count was evaluated using multivariable logistic regression and receiver operating characteristic (ROC) curve analyses.

RESULTS

In the CAPO+ group, gestational age at delivery, birth weight, and 1- and 5-min Apgar scores were significantly lower, whereas NICU admission rates were significantly higher (all p < 0.001). Among inflammatory indices, PIV, PLR, SII, and SIRI were significantly elevated, whereas LMR was significantly decreased (p < 0.001). Multivariate analysis identified LMR (OR: 0.32; 95% CI: 0.18-0.51) and SIRI (OR: 1.33; 95% CI: 1.16-1.56) as independent predictors of CAPO (p < 0.001). ROC analysis demonstrated that LMR achieved the highest predictive accuracy (AUC: 0.857; cut-off: ≤ 1.69; specificity: 93.4%).

CONCLUSIONS

LMR and SIRI, calculated from routine complete blood count, emerged as independent predictors of CAPO with high predictive accuracy in pregnant patients with acute appendicitis and represent practical biomarkers that can be readily integrated into clinical decision-making without additional cost. Prospective, multicenter studies with larger sample sizes are needed to confirm the broader applicability of these findings.

DOI

10.1111/jog.70534

PMID

42893933

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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