Objective To compare the procedural difficulty index (PDI) and immediate outcome (IM) of percutaneous coronary intervention (PCI) in patients with various stages of myocardial infarction.Methods Ninety-four patients with myocardial infarction were divided into three groups, direct PCI(n=38), delayed PCI(n=22) and late PCI(n=34). The characteristics of infarct-related coronary artery, PDI and IM of PCI were evaluated angiographically, and severe procedural complications (SPC) and major adverse cardiac events (MACE) during hospitalstay were documented. Results In the three groups, PDI was 1.47 ?1.79, 1.82 ?1.72 and 2.85 ?2.83, respectively (P

Objective Corruption is the most common cadaver phenomenon in forensic practice and an important basis for inferring time of death(PMI),but the definition of corruption degree and the construction of model inference models have always been difficult in the practice of forensic science.Methods In this study,the late postmortem phenomena were observed.Meanwhile,the microbial flora structure of gut and gravesoil and the nature of gravesoil were detected,for analyzing the changes before and after the key moment of abdominal rupture which naturally happened during the cadaver decay.Results The results found that from the macroscopic and microscopic levels,there were significant differences in cadaver decay,including microbial flora structure and gravesoil properties before and after the key moment of the natural abdominal rupture during cadaver decay.The phenomena are highly observable and can be accurately judged by forensic examinations,as well as related means in the field of biology and physiochemistry.In this study,this critical event was called Rupture Point.Conclusion The Rupture Point can be used as an important node for the assessment of cadaver decay degree in the practice of forensic medicine.It can be utilized for a cut-off point as well when constructing PMI inference models based on microbial flora structure changes.The accuracy of PMI inference models can be improved when the models were constructed in segments.

Objective To explore the feasibility of tracing the source of human biological samples by microbiome,and provide new ideas for case investigation.Methods Biological samples from buccal mucosa,foot arch,armpit and other parts of 10 volunteers were collected for three consecutive months.The microbial community structure of the samples was confirmed by using the 16SrRNA gene sequence information.And the microbial community diversity analysis and random forest classification prediction model were carried out.Results There were significant differences in the microbial community structure of the three parts of human body.In this study,a prediction model of random forest classification with an accuracy of more than 90%was successfully constructed.Conclusion In this study,a classification and prediction model based on the microbiome information of human biological samples was constructed to judge the source location,which broadened the forensic application scenarios of human microorganisms.