Evidence map›Paper›PMID 42799449›Full record

ArticleFrontiers in surgery2026

Development of a nomogram prediction model for postoperative intra-abdominal hypertension in patients with intra-abdominal infection sepsis based on analgesic drug selection.

Wenjing Zhao, Guoqiang Chen, Yan Xu, Diyin Yang, Qiaozhen Zhang

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Article in Frontiers in surgery, 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

5 authors.

Wenjing ZhaoDepartment of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Guoqiang ChenDepartment of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Yan XuDepartment of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Diyin YangDepartment of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Qiaozhen ZhangDepartment of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative intra-abdominal hypertension (IAH) is a common complication in patients with sepsis secondary to intra-abdominal infection and is associated with organ dysfunction and prolonged intensive care unit (ICU) stay. This study aimed to identify risk factors for postoperative IAH and develop a nomogram incorporating analgesic strategy and clinical variables for early risk stratification. Methods: This retrospective cohort study included adult patients who underwent surgery and received postoperative opioid analgesia in the ICU between June 2024 and October 2025. The primary outcome was postoperative IAH, defined as an intra-abdominal pressure >12 mmHg occurring within 48 h after initiation of postoperative opioid analgesia in the ICU. Multivariable logistic regression and LASSO regression were used to identify independent predictors, and a nomogram was subsequently developed. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis. Results: Among 116 patients, 49 developed IAH. Compared with patients without IAH, those with IAH were older ( Conclusions: Advanced age, elevated BMI, and higher lactate levels were independently associated with increased odds of postoperative IAH in sepsis patients, whereas postoperative oxycodone use was independently associated with a lower odds of postoperative IAH. The nomogram may facilitate early identification of high-risk patients and guide perioperative management.

Indexed as

intra-abdominal hypertensionnomogramoxycodonepostoperative complicationssepsis

Identifiers

PMID42799449
PMCPMC13613980

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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.