1.Big data analysis of patients with periodontitis and factors influencing treatment behavior
HU Congjiao ; MAO Feifei ; WU Ying ; FENG Yanhuizhi ; ZHOU Min ; LUO Lijun
Journal of Prevention and Treatment for Stomatological Diseases 2020;28(12):785-790
Objective :
To study patient-related information and factors altering their decision making in periodontal treatment and treatment behavior via big data analysis of the electronic medical records and to guide better dental care service and improve periodontal treatment.
Methods:
A retrospective study was performed in patients with periodontitis who visited the Affiliated Stomatological Hospital of Tongji University from 2014 to 2016. Based on the periodontal sequence treatment procedure, the treatment types were divided into six groups and were analyzed using multivariable regression analysis. Chi-square test was performed according to gender and age.
Results:
Age, payment method, disease severity, exhibited statistically significant differences regarding their effects on patients’ treatment behavior (P < 0.05). Men were more likely to have severe periodontitis than women (male 41.04%; female 31.85%), and use medical insurance more often as payment method (male 86.14%; female 83.74%) (P < 0.05). Compared with the population under 35 years old, moderate and severe periodontitis accounted for a larger proportion (84.58%) in the population over 35 years old. The compliance of the population over 35 years old was poor. Less follow-up reviews were conducted (17.10%) and medical insurance was less often used (49.65%) in this population. The differences were statistically significant (P < 0.05).
Conclusion
Moderate and severe periodontitis accounted for a larger proportion in the population over 35 years old. Patients over 35 years old tend to choose simpler treatments with lower compliance and frequency of revisits. This situation may be related to the lower proportion of medicare use in this population. The awareness and compliance of periodontal treatment protocols in people over 35 years old needs to be improved.
2.Tracing PRX1+ cells during molar formation and periodontal ligament reconstruction.
Xuyan GONG ; Han ZHANG ; Xiaoqiao XU ; Yunpeng DING ; Xingbo YANG ; Zhiyang CHENG ; Dike TAO ; Congjiao HU ; Yaozu XIANG ; Yao SUN
International Journal of Oral Science 2022;14(1):5-5
Neural crest-derived mesenchymal stem cells (MSCs) are known to play an essential function during tooth and skeletal development. PRX1+ cells constitute an important MSC subtype that is implicated in osteogenesis. However, their potential function in tooth development and regeneration remains elusive. In the present study, we first assessed the cell fate of PRX1+ cells during molar development and periodontal ligament (PDL) formation in mice. Furthermore, single-cell RNA sequencing analysis was performed to study the distribution of PRX1+ cells in PDL cells. The behavior of PRX1+ cells during PDL reconstruction was investigated using an allogeneic transplanted tooth model. Although PRX1+ cells are spatial specific and can differentiate into almost all types of mesenchymal cells in first molars, their distribution in third molars is highly limited. The PDL formation is associated with a high number of PRX1+ cells; during transplanted teeth PDL reconstruction, PRX1+ cells from the recipient alveolar bone participate in angiogenesis as pericytes. Overall, PRX1+ cells are a key subtype of dental MSCs involved in the formation of mouse molar and PDL and participate in angiogenesis as pericytes during PDL reconstruction after tooth transplantation.
Animals
;
Cell Differentiation
;
Mesenchymal Stem Cells
;
Mice
;
Molar
;
Osteogenesis/physiology*
;
Periodontal Ligament