Volume 22 Issue 11
Nov.  2024
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LU Tingting, WANG Yan, ZHANG Yinghui. Development of a risk scoring tool for hospital-acquired pressure ulcer in gynecological surgery patients[J]. Chinese Journal of General Practice, 2024, 22(11): 1976-1980. doi: 10.16766/j.cnki.issn.1674-4152.003778
Citation: LU Tingting, WANG Yan, ZHANG Yinghui. Development of a risk scoring tool for hospital-acquired pressure ulcer in gynecological surgery patients[J]. Chinese Journal of General Practice, 2024, 22(11): 1976-1980. doi: 10.16766/j.cnki.issn.1674-4152.003778
shu

Development of a risk scoring tool for hospital-acquired pressure ulcer in gynecological surgery patients

doi: 10.16766/j.cnki.issn.1674-4152.003778
  • 1.

    Department of Obstetrics, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui 233004, China

Funds:

 2022AH051536

  • Received Date: 2023-12-06
    Available Online: 2024-12-31
    Abstract
  •   Objective  This study aims to explore the risk factors for hospital-acquired pressure ulcers in patients undergoing gynecological surgery and to develop an effective prediction tool based on these factors.  Methods  Risk factors for pressure ulcers were identified through a literature review. Clinical data from 128 patients (64 with hospital-acquired pressure ulcers and 64 without) who underwent gynecological surgery at the First Affiliated Hospital of Bengbu Medical University from January 2018 to October 2023 were retrospectively collected. Differences in known risk factors between the two groups were analyzed. Binary multifactorial logistic regression analysis was used to evaluate the importance of different risk factors and identify those associated with pressure ulcer development. A pressure ulcer risk prediction model was developed using R software and internally validated.  Results  Statistically significant differences were observed between the two groups in age, BMI (< 23), American Society of Anesthesiologists (ASA) classification (1-2 and ≥3), preoperative Braden score (≤14), anemia, hypertension, respiratory disease, and length of hospital stay (P < 0.05). Logistic regression analysis confirmed 8 risk factors: age ≥70 years, length of hospital stay, ASA level ≥3, BMI < 23, preoperative Braden score ≤14, anemia, respiratory disease, and hypertension. The prediction model had a C-statistic of 0.81, indicating good risk discrimination. A cut-off value of ≥6 points was determined to be a strong predictor of pressure ulcer occurrence, with a positive predictive value of 73.9% and a negative predictive value of 80.5%.  Conclusion  This study identified key risk factors of pressure ulcers (age ≥70 years, length of hospital stay, ASA level ≥3, BMI < 23, preoperative Braden score ≤14, anemia, respiratory disease, and hypertension) and developed a reliable risk prediction tool. This tool offers a theoretical basis for enhancing clinical nursing care and preventing pressure ulcers in gynecological surgery patients.

     

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