{"title":"Novel insights into estimating the postmortem interval: red cell distribution width - standard deviation.","authors":"Hiroki Kondou, Kaori Shintani-Ishida, Hiroshi Ikegaya","doi":"10.1007/s12024-025-00957-1","DOIUrl":null,"url":null,"abstract":"<p><p>Estimation of the postmortem interval (PMI) is highly significant, and many estimation methods have been developed. However, as no estimation method is determinate, several methods must be combined to achieve an accurate estimation. Therefore, the more methods available, the more accurate the estimation. To facilitate this, we examined whether red cell distribution width standard deviation (RDW-SD) was associated with PMI. We compared the RDW-SDs of blood samples from hospitals and autopsies in the same cadavers using a paired test. Additionally, we performed an unpaired test with multiple regression analysis to confirm the relationship between PMI and RDW-SD. Eighteen cases were included in the paired analysis, and a significant difference between hospital and autopsy RDW-SDs was confirmed. The 95% confidence interval for the difference was between 11.7 and 17.4. In the multiple regression analysis of the 756 cadavers, the 95% confidence interval of the regression coefficient of PMI for RDW-SD was 1.63-3.43. Our results suggest that RDW-SD may have a positive relationship with PMI. However, further research is required to determine the accuracy of this estimation method.</p>","PeriodicalId":12449,"journal":{"name":"Forensic Science, Medicine and Pathology","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science, Medicine and Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12024-025-00957-1","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0
Abstract
Estimation of the postmortem interval (PMI) is highly significant, and many estimation methods have been developed. However, as no estimation method is determinate, several methods must be combined to achieve an accurate estimation. Therefore, the more methods available, the more accurate the estimation. To facilitate this, we examined whether red cell distribution width standard deviation (RDW-SD) was associated with PMI. We compared the RDW-SDs of blood samples from hospitals and autopsies in the same cadavers using a paired test. Additionally, we performed an unpaired test with multiple regression analysis to confirm the relationship between PMI and RDW-SD. Eighteen cases were included in the paired analysis, and a significant difference between hospital and autopsy RDW-SDs was confirmed. The 95% confidence interval for the difference was between 11.7 and 17.4. In the multiple regression analysis of the 756 cadavers, the 95% confidence interval of the regression coefficient of PMI for RDW-SD was 1.63-3.43. Our results suggest that RDW-SD may have a positive relationship with PMI. However, further research is required to determine the accuracy of this estimation method.
期刊介绍:
Forensic Science, Medicine and Pathology encompasses all aspects of modern day forensics, equally applying to children or adults, either living or the deceased. This includes forensic science, medicine, nursing, and pathology, as well as toxicology, human identification, mass disasters/mass war graves, profiling, imaging, policing, wound assessment, sexual assault, anthropology, archeology, forensic search, entomology, botany, biology, veterinary pathology, and DNA. Forensic Science, Medicine, and Pathology presents a balance of forensic research and reviews from around the world to reflect modern advances through peer-reviewed papers, short communications, meeting proceedings and case reports.