相关实验视频
Updated: Jan 31, 2026
08:55
A Novel In Vitro Wound Healing Assay to Evaluate Cell Migration
Published on: March 17, 2018
23.1K
评估使用5因素修改的脆弱性指数来预测减少乳房整形术中的伤口愈合并发症
Brittany Lala1, Amy Yao2, Fei Wang3
1Department of Reconstructive & Plastic Surgery, Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA.
Aesthetic surgery journal
|January 29, 2026
概括
修改后的脆弱指数 (mFI-5) 没有预测减少乳房整形术后的伤口愈合并发症. 在这个患者群体中,晚年是并发症的主要风险因素.
科学领域:
- 整形外科 整形外科 整形外科
- 外科手术的结果
- 患者风险分层患者风险分层
背景情况:
- 减少乳房整形术有效治疗症状性巨乳.
- 确定并发症的危险因素对于患者的选择和咨询至关重要.
- 修改后的脆弱指数 (mFI-5) 是评估手术风险的建议工具.
研究的目的:
- 为了评估mFI-5的预测准确度,用于减少乳房整形术后的伤口愈合并发症.
- 确定与减少乳房整形术患者不良结果相关的关键风险因素.
主要方法:
- 对474例初级双边缩小乳房整形手术 (2017-2019年) 的回顾性审查.
- 计算所有患者的mFI-5分数.
- 对30天的伤口愈合并发症的分析,包括切口衰竭,T点分解,乳头-腹膜复合性缩和脂肪缩.
- 进行了单变量和多变量逻辑回归分析.
主要成果:
- 26%的患者经历了至少一个伤口愈合并发症.
- 单变量分析显示31-50岁和51岁以上的风险增加 (OR 2.75,3.16) 和mFI得分为1 (OR 2.07).
- 多变量分析显示,在控制ASA得分,吸烟和BMI时,51岁以上的年龄是显著的预测因素 (OR2.89;p=0.001). 在对这些因素进行控制后,mFI-5不是一个显著的预测指标.
结论:
- 在这个队列中,mFI-5没有在预测减少乳房整形术后的伤口愈合并发症方面表现出统计学意义.
- 高龄 (51岁以上) 成为创伤愈合并发症的独立风险因素.
- 未来的研究应该专注于年龄作为患者选择和减少乳房整形治疗咨询的主要预测因素.
相关概念视频
03:11Oxidation-Reduction Reactions
75.6K
Oxidation–Reduction Reactions
75.6K
02:27Predicting Molecular Geometry
45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K
01:045-Number Summary
5.7K
In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
5.7K
01:24Hemodialysis II: Procedure and Complications
808
DialyzersA hemodialysis (HD) dialyzer is a plastic cartridge containing thousands of parallel hollow fibers, which serve as semipermeable membranes. These fibers are typically made from cellulose-based or other synthetic materials. During HD, blood is pumped into the top of the cartridge and distributed among these fibers. Simultaneously, dialysis fluid, known as dialysate, is introduced into the bottom of the cartridge, bathing the outside of the fibers. Across the semipermeable membrane,...
808
02:35Transcription Elongation Factors
13.9K
Transcription elongation is a dynamic process that alters depending upon the sequence heterogeneity of the DNA being transcribed. Hence, it is not surprising that the elongation complex's composition also varies along the way while transcribing a gene.
The transcription elongation is regulated via pausing of RNA polymerase on several occasions during transcription. In bacteria, these halts are necessary because the transcription of DNA into mRNA is coupled to the translation of that mRNA...
The transcription elongation is regulated via pausing of RNA polymerase on several occasions during transcription. In bacteria, these halts are necessary because the transcription of DNA into mRNA is coupled to the translation of that mRNA...
13.9K
01:03Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K