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Related Experiment Video

Updated: Jul 17, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Development of a Nomogram for Predicting Hospital-Acquired Pressure Injuries Risk in Cardiovascular Intensive Care

Hao-Yue Li1,2,3,4,5,6, Yan Zhang1,2,3,4,5,6, Xiao-Lan Shui1,2,3,4,5,6

  • 1Hao-Yue Li , BN, CICU, Renmin Hospital of Wuhan University, Wuhan, Republic of China.

Journal of Wound, Ostomy, and Continence Nursing : Official Publication of the Wound, Ostomy and Continence Nurses Society
|July 1, 2026
PubMed
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This study developed a nomogram to predict hospital-acquired pressure injuries (HAPI) in cardiovascular intensive care unit (CICU) patients. The model accurately identifies patients at risk, aiding preventive care strategies.

Area of Science:

  • Cardiology
  • Intensive Care Medicine
  • Medical Informatics

Background:

  • Hospital-acquired pressure injuries (HAPI) are a significant concern in intensive care settings.
  • Predictive models are crucial for early intervention in cardiovascular intensive care units (CICUs).

Purpose of the Study:

  • To develop and validate a nomogram for predicting HAPI risk in CICU patients.
  • To identify key clinical indicators associated with HAPI development in this population.

Main Methods:

  • A retrospective cohort study involving 260 CICU patients.
  • Development of a nomogram using logistic regression analysis on a training set (n=208).
  • Validation of the nomogram's predictive performance using a separate test set (n=52) via ROC curve and decision curve analysis.
Keywords:
cardiovascular nursingnomogrampressure injurypressure ulcerrisk assessment

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Last Updated: Jul 17, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Main Results:

  • Independent risk factors for HAPI included vasopressor use, elevated B-type natriuretic peptide, elevated lactic acid, elevated procalcitonin, and low albumin levels.
  • The developed nomogram demonstrated good calibration and discriminative ability with an AUC of 0.868.
  • The model effectively predicted HAPI risk in CICU patients.

Conclusions:

  • The established nomogram is a valuable tool for predicting HAPI risk in CICU patients.
  • This predictive model can guide the implementation of targeted preventive interventions.
  • Further research can refine HAPI prediction and prevention strategies in critical care settings.