Evidence map›Paper›PMID 42447083›Full record

ArticleNursing open2026

Analysis of Characteristics Associated With Advanced-Stage Pressure Injury Classification Among Korean Hospitalised Patients: A Secondary Data Analysis.

Minkyung Gu, Ye Seul Choi, Sohyune Sok

Abstract read
In one paragraph

Article in Nursing open, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Minkyung GuDepartment of Nursing, College of Health Science, Daejin University, Pocheon-si, Republic of Korea.ORCID https://orcid.org/0000-0001-7921-3102
Ye Seul ChoiDepartment of Nursing, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Sohyune SokCollege of Nursing Science, Kyung Hee University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7547-0224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to identify demographic and clinical factors associated with advanced-stage pressure injury (PI) classification among hospitalised patients diagnosed with PIs using the Health Insurance Review and Assessment Service (HIRA) patient sample database.

designThis secondary data analysis was approved by the Institutional Review Board of K University (IRB No. 2020-0266). Public data were analysed using SAS Enterprise Guide on a designated computer, and all procedures complied with data security and confidentiality requirements.

methodsA secondary analysis was conducted using the HIRA patient sample database from 2017 to 2019. Patients diagnosed with pressure injuries were classified into a mild-stage group (Stages 1-2) and an advanced-stage group (Stages 3-4). Multivariable logistic regression analysis was performed to identify factors associated with advanced-stage pressure injury classification (Stage 3-4 vs. Stage 1-2), and odds ratios (ORs) with 95% confidence intervals (CIs) were estimated.

resultsMale patients had higher odds of being classified as having advanced-stage pressure injuries than female patients (OR = 1.25). The odds of advanced-stage pressure injury classification increased by 1.02 for each one-year increase in age and by 1.02 for each additional day of hospitalisation. Patients with urinary incontinence and malnutrition had 3.32-fold and 2.76-fold higher odds, respectively, of being classified as having advanced-stage pressure injuries than those without these conditions (p < 0.001).

conclusionSex, age, length of hospital stay and specific comorbidities were significantly associated with advanced-stage pressure injury classification among hospitalised patients with pressure injuries. Urinary incontinence and malnutrition showed particularly strong associations with advanced-stage classification. These findings may support the early identification of patients who are more likely to present with advanced-stage pressure injuries and inform targeted assessment and management strategies in clinical practice. Because this study was based on cross-sectional administrative claims data, the findings should be interpreted as associations with advanced-stage classification rather than evidence of temporal progression or causation. PATIENT OR PUBLIC CONTRIBUTION: This study utilised secondary administrative data from a nationally representative sample provided by the Health Insurance Review and Assessment Service (2017-2019). No patients or members of the public were directly involved in the design or conduct of this study because the analyses were based on de-identified administrative claims data.

Indexed as

HospitalizationPressure UlcerAdultAgedAged, 80 and overFemaleHumansLogistic ModelsMaleMiddle AgedRepublic of KoreaRisk FactorsSecondary Data Analysishospitalised patientmalnutritionpressure injuryurinary incontinence

Identifiers

PMID42447083
PMCPMC13367755

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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.