Association of inflammatory biomarkers during pregnancy and the postpartum period with the risk of postpartum anxiety symptoms

Inflammation is pivotal in psychiatric pathophysiology, yet evidence linking inflammatory biomarkers to postpartum anxiety (PPA) remains lacking. We respectively included 14,419 postpartum women and calculated composite inflammatory biomarkers during second and third trimesters and the postpartum period, including platelet-neutrophil product (PPN), systemic inflammatory response index (SIRI) and pan-immune-inflammation value (PIV). PPA symptoms were only assessed by Self-Rating Anxiety Scale (SAS) at 5-8 weeks after childbirth. Propensity score matching (PSM) was performed to minimize confounding bias. Multivariable logistic regression analyses were used to examine the associations of inflammatory biomarkers with risk of PPA symptoms. Model discrimination, calibration, and clinical utility were assessed via the receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Machine learning was applied to strengthen the robustness. After PSM, the final analysis comprised 113 women with PPA symptoms (SAS ≥50) and 113 asymptomatic women (SAS < 50). After confounder adjustment, elevated second-trimester PPN, SII and PIV levels were associated with a reduced risk of PPA symptoms, with adjusted ORs of 0.21 (95% CI: 0.10, 0.45), 0.34 (95% CI:0.16, 0.72), 0.44 (95% CI: 0.26, 0.75), respectively. Consistent results were observed during third trimester and the postpartum period (all P FDR < 0.05). The AUCs of PPN at three time points for PPA symptom were 0.67, 0.65, and 0.66, respectively. PPN had acceptable calibration and favorable net clinical benefit. The SVM-Radial model achieved robust performance, with AUCs ranging from 0.73 to 0.86 across all time points. Our findings demonstrated that inflammatory biomarkers were associated with PPA symptoms, emphasizing the potential role of PPN in the pathogenesis and application values of PPA symptoms. • PPN, SII and PIV levels during second trimester, third trimester, and the postpartum period were associated with a reduced risk of PPA symptoms. • RCS analyses revealed that linear dose-response relationships existed between PPN, SII, PIV and the risk of PPA symptoms. • The SVM-Radial model of PPN at three time points for PPA symptoms achieved robust performance, with AUCs ranging from 0.73 to 0.86 across all time points.

Authors

Institutions

Publication Details

Journal
Brain Behavior & Immunity - Health
Published
2026-03-14
DOI
https://doi.org/10.1016/j.bbih.2026.101214
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of inflammatory biomarkers during pregnancy and the postpartum period with the risk of postpartum anxiety symptoms

Yixiao Wang, Kaipeng Xie, Shengyuan Jiang, Xiaoli Wu et al.
Brain Behavior & Immunity - Health
Tryptophan and brain disorders
article

Association of inflammatory biomarkers during pregnancy and the postpartum period with the risk of postpartum anxiety symptoms

Yixiao Wang, Kaipeng Xie, Shengyuan Jiang, Xiaoli Wu, Huan Chen, Yuee Teng, Li Xia, Zheyuan Zhang, Luhongying Yuan
article en

Abstract

Inflammation is pivotal in psychiatric pathophysiology, yet evidence linking inflammatory biomarkers to postpartum anxiety (PPA) remains lacking. We respectively included 14,419 postpartum women and calculated composite inflammatory biomarkers during second and third trimesters and the postpartum period, including platelet-neutrophil product (PPN), systemic inflammatory response index (SIRI) and pan-immune-inflammation value (PIV). PPA symptoms were only assessed by Self-Rating Anxiety Scale (SAS) at 5-8 weeks after childbirth. Propensity score matching (PSM) was performed to minimize confounding bias. Multivariable logistic regression analyses were used to examine the associations of inflammatory biomarkers with risk of PPA symptoms. Model discrimination, calibration, and clinical utility were assessed via the receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Machine learning was applied to strengthen the robustness. After PSM, the final analysis comprised 113 women with PPA symptoms (SAS ≥50) and 113 asymptomatic women (SAS < 50). After confounder adjustment, elevated second-trimester PPN, SII and PIV levels were associated with a reduced risk of PPA symptoms, with adjusted ORs of 0.21 (95% CI: 0.10, 0.45), 0.34 (95% CI:0.16, 0.72), 0.44 (95% CI: 0.26, 0.75), respectively. Consistent results were observed during third trimester and the postpartum period (all P FDR < 0.05). The AUCs of PPN at three time points for PPA symptom were 0.67, 0.65, and 0.66, respectively. PPN had acceptable calibration and favorable net clinical benefit. The SVM-Radial model achieved robust performance, with AUCs ranging from 0.73 to 0.86 across all time points. Our findings demonstrated that inflammatory biomarkers were associated with PPA symptoms, emphasizing the potential role of PPN in the pathogenesis and application values of PPA symptoms. • PPN, SII and PIV levels during second trimester, third trimester, and the postpartum period were associated with a reduced risk of PPA symptoms. • RCS analyses revealed that linear dose-response relationships existed between PPN, SII, PIV and the risk of PPA symptoms. • The SVM-Radial model of PPN at three time points for PPA symptoms achieved robust performance, with AUCs ranging from 0.73 to 0.86 across all time points.

Brain Behavior & Immunity - HealthVol. 53
Nanjing Maternity and Child Health Care Hospital (CN), Nanjing Medical University (CN)
Gender equality
Openalex Percentile: Top 32%
Tryptophan and brain disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.