Risk factors for postoperative hypoalbuminemia in ovarian cancer: a predictive nomogram
- Yinggen Chen 1,2, Shilin Hu 1,2, Shuzhi Zhou 3, Zhuoxuan Yang 4
- Yinggen Chen 1,2, Shilin Hu 1,2, Shuzhi Zhou 3
- 1North Sichuan Medical College, Nanchong, Sichuan, China.
- 2Department of Anesthesiology, Ya'an People's Hospital, Ya'an, Sichuan, China.
- 3Department of Anesthesiology, Ya'an People's Hospital, Ya'an, Sichuan, China. 893915648@qq.com.
- 4Department of Anesthesiology, Ya'an People's Hospital, Ya'an, Sichuan, China. yzxyzyx@163.com.
- 0North Sichuan Medical College, Nanchong, Sichuan, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Postoperative hypoalbuminemia after ovarian cancer surgery is common. Key risk factors include preoperative C-reactive protein and albumin levels, fluid gain, weight loss, and concurrent gastrointestinal surgery.
Area Of Science
- Oncology
- Surgical Complications
- Biochemistry
Background
- Postoperative hypoalbuminemia is a significant risk factor for adverse outcomes in ovarian cancer patients, including delayed wound healing, infections, and increased mortality.
- Identifying predictive factors for hypoalbuminemia is crucial for proactive management in radical ovarian cancer surgery.
Purpose Of The Study
- To determine the independent risk factors associated with postoperative hypoalbuminemia following radical ovarian cancer surgery.
- To develop and validate a predictive nomogram for postoperative hypoalbuminemia in this patient population.
Main Methods
- Retrospective analysis of 142 patients undergoing radical ovarian cancer surgery between January 2018 and December 2023.
- Patients were categorized into hypoalbuminemia (serum albumin < 35 g/L) and control groups based on postoperative day 1 levels.
- Univariate, multivariate logistic regression, and ROC curve analyses were employed to identify risk factors and assess model performance.
Main Results
- The incidence of postoperative hypoalbuminemia was 48.6% (69 out of 142 patients).
- Independent risk factors identified were: elevated preoperative C-reactive protein, low preoperative albumin, excessive intraoperative fluid gain, significant preoperative weight loss (>5%), and concurrent gastrointestinal surgery.
- The developed nomogram demonstrated strong predictive accuracy (AUC = 0.898).
Conclusions
- Preoperative C-reactive protein, preoperative albumin, intraoperative fluid management, recent weight loss, and concomitant gastrointestinal surgery are significant predictors of postoperative hypoalbuminemia.
- The developed nomogram provides an effective tool for predicting and managing hypoalbuminemia risk in radical ovarian cancer surgery patients.
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