Evidence map›Paper›PMID 42428159›Full record

ArticleFrontiers in aging2026

Group-based trajectory modeling of hemoglobin change rate and impact of haemoglobin concentration on cardiovascular outcome after endovascular aneurysm repair a risk prediction model for persistent postoperative hemoglobin decline.

Xiao Li, Xiang Yan, Qing Sheng Lu

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Article in Frontiers in aging, 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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5 · Who and what money

Authors and funding

3 authors.

Xiao Li *The Department of Vascular Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Xiang YanThe Department of Vascular Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Qing Sheng LuThe Department of Vascular Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: While postoperative hemoglobin decline following Endovascular Aneurysm Repair (EVAR) is a well-known phenomenon, the specific factors driving persistent hemoglobin reduction remain unclear. This observational, retrospective study seeks to establish distinct trajectories of hemoglobin change rates within the first 7 days following Endovascular Aneurysm Repair (EVAR) and to analyze the factors influencing persistent post-operative hemoglobin decline as well as Hb decrease, defined as preoperative minus postoperative Hb (g dl Methods: The study population consisted of all patients who underwent endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA), totaling 1,995 individuals, between 1 June 2002, and 31 March 2024. Group-based trajectory modeling (GBTM) was utilized to categorize distinct patterns of hemoglobin changes over a 7-day period in patients following EVAR. Baseline clinical and demographic characteristics predictive of trajectory group membership were analyzed using univariate screening and two multivariate binary logistic regression. The development of the two risk prediction models for persistent postoperative hemoglobin decline in patients undergoing EVAR was undertaken using logistic regression. The corresponding nomograms were subsequently constructed. The study second endpoint was 30-day postoperative cardiovascular events, including. myocardial infarction, heart failure, arrhythmias, stroke, asymptomatic troponin-T release and cardiovascular death. Results: We identified two trajectory groups: ' The decrease surpasses 20%' (n = 251, 16.8%) and 'under 20%' (n = 1,528, 83.2%). After adjusting for potential confounders, these groups were significantly linked to clinical outcomes like age, PAD, aneurysm characteristics. Intraoperative factors such as operation duration, blood loss, and graft details also showed associations. A risk prediction model, visualized with a nomogram, included factors like age, PAD, a larger maximum AAA diameter, and Iliac artery aneurysm presenting with bilateral involvement, achieving an AUC of 0.733 (95% CI: 0.690-0.775). The model showed 70.0% sensitivity and 66.7% specificity, with a calibration chart confirming strong alignment between observed and predicted values, and a clinical decision curve highlighting its potential clinical utility. Conclusion: In conclusion, our study identified that older age, maximum diameter of abdominal aortic aneurysm, and Iliac artery aneurysm presenting with bilateral were associated with continued hemoglobin decline post-EVAR. A drop in hemoglobin concentration exceeding 20% after elective EVAR surgery strongly predicts cardiovascular events within 30 days.

Indexed as

EVARhemoglobin declinelongitudinal cohortnomogramtrajectory

Identifiers

PMID42428159
PMCPMC13346044

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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.