A predictive nomogram for in-ICU deterioration of stage 1 pressure injuries: a retrospective study.

Chenyan Zhang, Zhouzhou Dong, Wei Wang, Chensong Chen, Huina Xu

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Article in Frontiers in medicine, 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

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5 authors.

Chenyan Zhang *Department of Intensive Care Unit, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.

Zhouzhou Dong *Department of Intensive Care Unit, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.

Wei WangDepartment of Intensive Care Unit, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.

Chensong ChenXiangshan First People's Hospital Medical and Health Group, Ningbo, China.

Huina XuDepartment of Intensive Care Unit, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preventing Stage 1 pressure injuries (PIs) from worsening in the ICU is a key clinical challenge. Early prediction of high-risk patients enables targeted prevention. We aimed to develop a model for this progression using admission data. Methods: In this retrospective cohort study, eligible ICU patients with Stage 1 pressure injuries were randomly allocated into training (70%) and validation (30%) sets. Predictors were selected using LASSO regression. A multivariable logistic regression model was constructed and visualized as a nomogram. Model performance was evaluated by discrimination (AUC), calibration, and clinical utility (decision curve analysis). Results: A total of 278 patients were randomly divided into training ( Conclusions: A nomogram incorporating three readily available factors at ICU admission effectively predicts the risk of Stage 1 PI progression. This tool is designed to aid early risk stratification and could help guide preventive measures.

Indexed as

critical careintensive care unitnomogramprediction modelpressure injury

Identifiers

PMID42232962

DOI10.3389/fmed.2026.1835220

PMCPMC13223033

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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.