Instituto Nacional de Medicina Legal e Ciências Forenses, I.P. - Delegação do Norte, Portugal.
Forensic Sci Int. 2013 Dec 10;233(1-3):230-7. doi: 10.1016/j.forsciint.2013.09.022. Epub 2013 Sep 26.
Timing of blunt force trauma in human bone is a critical forensic issue, but there is limited knowledge on how different environmental conditions, the duration of postmortem interval (PMI), different bone types and different animal models influence fracture morphology. This study aims at evaluating the influence of the type of postmortem environment and the duration of the postmortem period on fracture morphology, for distinguishing perimortem from postmortem fractures on different types of long bones from different species. Fresh limb segments from pig and goat were sequentially left to decompose, under 3 different environmental circumstances (surface, buried and submerged), resulting in sets with different PMI lengths (0, 28, 56, 84, 112, 140, 168 and 196 days), which were then fractured. Fractured bones (total=325; pig tibia=110; pig fibula=110; goat metatarsals=105) were classified according to the Fracture Freshness Index (FFI). Climatic data for the experiment location was collected. Statistical analysis included descriptive statistics, correlation analysis between FFI and PMI, Mann-Whitney U tests comparing FFI medians for different PMI's and linear regression analysis using PMI, pluviosity and temperature as predictors for FFI. Surface samples presented increases in FFI with increasing PMI, with positive correlations for all bone types. The same results were observed in submerged samples, except for pig tibia. Median FFI values for surface samples could distinguish bones with PMI=0 days from PMI≥56 days. Buried samples presented no significant correlation between FFI and PMI, and nonsignificant regression models. Regression analysis of surface and submerged samples suggested differences in FFI variation with PMI between bone types, although without statistical significance. Adding climatic data to surface regression models resulted in PMI no longer predicting FFI. When comparing different animal models, linear regressions suggested greater increases in FFI with increasing PMI in pig, compared to goat, in both surface and submerged environments, although statistically not significant. No differences were found between environments except for buried vs. submerged goat samples and surface vs. buried/submerged tibia pig samples. FFI showed a weak association with PMI and it seems to be affected by various factors, such as different bone types, decomposition environments and climatic factors. Nonetheless, the FFI shows promising discriminating power during the early postmortem period. The apparent variation between bone types from different species suggests that extrapolations to humans can be challenging.
钝器创伤在人类骨骼中的时间是一个关键的法医学问题,但对于不同的环境条件、死后间隔时间(PMI)的长短、不同骨骼类型和不同动物模型如何影响骨折形态,我们的了解十分有限。本研究旨在评估死后环境的类型和死后时间的长短对不同类型骨骼骨折形态的影响,以便区分不同物种的长骨上的濒死期和死后骨折。新鲜的猪和山羊肢体段分别在 3 种不同的环境(地面、掩埋和浸没)中进行顺序分解,从而产生不同 PMI 长度的组(0、28、56、84、112、140、168 和 196 天),然后对这些骨骼进行骨折。总共对 325 根骨折骨骼(猪胫骨=110 根;猪腓骨=110 根;山羊跖骨=105 根)进行了分类,根据骨折新鲜度指数(FFI)进行分类。收集了实验地点的气候数据。统计分析包括描述性统计、FFI 与 PMI 的相关性分析、不同 PMI 下 FFI 中位数的曼-惠特尼 U 检验以及使用 PMI、降雨量和温度作为 FFI 预测因子的线性回归分析。表面样本的 FFI 随 PMI 的增加而增加,所有骨骼类型均呈正相关。在浸没样本中也观察到了相同的结果,除了猪胫骨。表面样本的中位数 FFI 值可区分 PMI=0 天和 PMI≥56 天的骨骼。掩埋样本中,FFI 与 PMI 之间没有显著的相关性,也没有显著的回归模型。表面和浸没样本的回归分析表明,尽管没有统计学意义,但不同骨骼类型的 FFI 随 PMI 的变化存在差异。将气候数据添加到表面回归模型中后,PMI 不再预测 FFI。在比较不同的动物模型时,线性回归表明,在表面和浸没环境中,猪的 FFI 随 PMI 的增加而增加的幅度大于山羊,尽管在统计学上并不显著。除了掩埋与浸没山羊样本、表面与掩埋/浸没猪胫骨样本外,不同环境之间没有差异。FFI 与 PMI 呈弱相关,并且似乎受到各种因素的影响,例如不同的骨骼类型、分解环境和气候因素。尽管如此,FFI 在死后早期阶段显示出有希望的鉴别能力。不同物种的骨骼之间的明显差异表明,对人类的推断可能具有挑战性。