Objective To study the correlation between the abdominal wall subcutaneous fat thickness and heart weight, so as to provide reference for prediction methods of normal range of heart weight that is suitable for autopsy in China. Methods The forensic pathology autopsy cases accepted by Center for Medicolegal Expertise of Sun Yat-sen University from 1998 to 2017 were collected. Then the exclusion criteria were determined, and according to them the total case group was selected, and the 6 disease groups and the normal group were further selected from the total case group. The rank sum test was used to compare the heart weight of the normal group and the disease groups to determine the influence of diseases on heart weight. Then the Spearman rank correlation analysis of abdominal wall subcutaneous fat thickness and heart weight in different genders and different ages in the total case group and the normal group was conducted to get the correlation coefficient （r_s）. Results In the total case group, correlation between abdominal wall subcutaneous fat thickness and heart weight was shown in males of all ages （P<0.05）; while in females, the correlation had no statistical significance （P>0.05） in 15-<20 age and 50-<60 age, but was statistically significant （P<0.05） in other age groups. For the males in the normal group, r_s was respectively 0.411, 0.541 and 0.683 in the 15-<40 age, the 40-<60 age, and the ≥60 age. For the females, r_s was respectively 0.249 and 0.317 in the 15-<40 age and the 40-<60 age. The correlation in the ≥60 age had no statistical significance（P>0.05）. Conclusion In the general population and the normal population, abdominal wall subcutaneous fat thickness is correlated with the heart weight of males. It is of significance to include the abdominal wall subcutaneous fat thickness in the prediction of normal range of heart weight for males in China.
Abdominal Wall/diagnostic imaging* ; China ; Female ; Heart/diagnostic imaging* ; Humans ; Male ; Middle Aged ; Reference Values ; Subcutaneous Fat/diagnostic imaging*