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下肢静脉溃疡愈合率的非线性建模

Nonlinear modeling of venous leg ulcer healing rates.

作者信息

Cardinal Matthew, Phillips Tania, Eisenbud David E, Harding Keith, Mansbridge Jonathan, Armstrong David G

机构信息

Advanced BioHealing, La Jolla, CA, USA.

出版信息

BMC Dermatol. 2009 Mar 31;9:2. doi: 10.1186/1471-5945-9-2.

Abstract

BACKGROUND

The purpose of this manuscript was to determine whether the change in wound surface area over time could be described through nonlinear mathematics.

METHODS

We studied 3,588 serial wound tracings of 338 venous leg ulcers (VLUs) that had been followed during a controlled, prospective, randomized trial of two topical wound treatments.

RESULTS

A majority (72%) of VLUs exhibited surface area reduction via an exponential decay model, particularly during the early stages of healing. These results were consistent with the mechanics of wound contraction and epithelial cell proliferation, supported by the higher frequency at which exponential surface area reduction associated with full wound closure (35% of wounds that fit the exponential model healed vs. 21% of wounds that did not fit the exponential model completely healed during the study period, p = 0.018). Goodness-of-fit statistics suggested that much of the individual variation in healing could be described as nonlinear variation from the exponential model.

CONCLUSION

We believe that parameter estimates from a mathematical model may provide a more accurate quantification of wound healing rates, and that similar models may someday reach routine use in comparing the efficacy of various treatments in routine practice and in product registration trials.

摘要

背景

本手稿的目的是确定伤口表面积随时间的变化是否可以通过非线性数学来描述。

方法

我们研究了在两项局部伤口治疗的对照、前瞻性、随机试验中随访的338例下肢静脉溃疡(VLU)的3588份连续伤口记录。

结果

大多数(72%)VLU通过指数衰减模型表现出表面积减少,尤其是在愈合早期。这些结果与伤口收缩和上皮细胞增殖的机制一致,在研究期间,与完全伤口闭合相关的指数表面积减少频率更高(符合指数模型的伤口中有35%愈合,而不完全符合指数模型的伤口中有21%完全愈合,p = 0.018),这支持了上述结果。拟合优度统计表明,愈合过程中的许多个体差异可以描述为与指数模型的非线性差异。

结论

我们认为,数学模型的参数估计可能为伤口愈合率提供更准确的量化,并且类似的模型有朝一日可能会在常规实践中比较各种治疗的疗效以及在产品注册试验中达到常规使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb93/2672927/31d24c6ba9a8/1471-5945-9-2-1.jpg

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