The authors analyzed the injury pattern of 385 victims of fall from a height which underwent a complete autopsy, with the objective to investigate whether it was possible to construct a mathematical model to be used for height of the fall diagnosis. The cases were selected and enrolled according to a balanced stratification of the heights of the fall, allowing a subdivision into seven classes consisting of 55 subjects each: 6 m or less, 9 m, 12 m, 15 m, 18 m, 21 m, 24 m or more (maximum 36 m). For each case anthropologic and necroscopic data was collected and analyzed to obtain a standardized description of the injury pattern was obtained, dividing the body into 4 major anatomical areas (Head, Thorax, Abdomen, Skeleton), each of them further divided in 5 major organs. Every organ was finally divided into 5 objective degrees of injury. Statistical analysis was performed on all the available data using IBM SPSS Statistics 20, to test the performance of the “injury pattern assessment table” in the diagnosis of the height of the fall and to develop a related mathematical model. Our findings confirm that the height of the fall is significantly associated with age, weight of the body and the injury pattern. An Injury Pattern Assessment Table and two mathematical models which correlates the height of the fall with analyzed variables are presented.
The pathological diagnosis of the height of fatal falls: A mathematical approach
Blandino A.;Travaini G.;
2019-01-01
Abstract
The authors analyzed the injury pattern of 385 victims of fall from a height which underwent a complete autopsy, with the objective to investigate whether it was possible to construct a mathematical model to be used for height of the fall diagnosis. The cases were selected and enrolled according to a balanced stratification of the heights of the fall, allowing a subdivision into seven classes consisting of 55 subjects each: 6 m or less, 9 m, 12 m, 15 m, 18 m, 21 m, 24 m or more (maximum 36 m). For each case anthropologic and necroscopic data was collected and analyzed to obtain a standardized description of the injury pattern was obtained, dividing the body into 4 major anatomical areas (Head, Thorax, Abdomen, Skeleton), each of them further divided in 5 major organs. Every organ was finally divided into 5 objective degrees of injury. Statistical analysis was performed on all the available data using IBM SPSS Statistics 20, to test the performance of the “injury pattern assessment table” in the diagnosis of the height of the fall and to develop a related mathematical model. Our findings confirm that the height of the fall is significantly associated with age, weight of the body and the injury pattern. An Injury Pattern Assessment Table and two mathematical models which correlates the height of the fall with analyzed variables are presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
