1.Establishment of a nomogram model for predicting liver cirrhosis with esophagogastric variceal bleeding based on aspartate aminotransferase-to-platelet ratio index and platelet-albumin-bilirubin score
Xinyi LI ; Jiaojiao LI ; Yingying LI ; Honghe WEI ; Yufan XIONG ; Xinchi ZHANG ; Wei SUN ; Li CHEN
Journal of Clinical Hepatology 2024;40(3):521-526
ObjectiveTo investigate the value of aspartate aminotransferase-to-platelet ratio index (APRI) and platelet-albumin-bilirubin (PALBI) score in predicting the risk of esophagogastric variceal bleeding in patients with liver cirrhosis. MethodsA total of 119 patients with liver cirrhosis who were admitted to The First Affiliated Hospital of Soochow University from May 2021 and June 2022 were enrolled, and clinical data, routine blood test results, serum biochemistry, and coagulation test results were collected from all patients. According to the presence or absence of esophagogastric variceal bleeding, the patients were divided into non-bleeding group with 59 patients and bleeding group with 60 patients, and a comparative analysis was performed for the two groups. The independent samples t-test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-squared test or the Fisher’s exact test was used for comparison of categorical data between groups. The multivariate Logistic regression analysis was used to identify the independent risk factors for esophagogastric variceal bleeding in patients with liver cirrhosis and establish a nomogram predictive model. ResultsThe male patients accounted for 75.00% in the bleeding group and 40.68% in the non-bleeding group, and there was a significant difference in sex composition between the two groups (χ2=14.384, P<0.001). Chronic hepatitis B was the main etiology in both the bleeding group and the non-bleeding group (53.33% vs 38.98%), and there was no significant difference in composition ratio between the two groups (χ2=2.464, P=0.116). Compared with the non-bleeding group, the bleeding group had a significantly higher activity of AT-IIIA (t=3.329, P=0.001) and significantly lower levels of PLT, TBil, Ca, TC, and TT (all P<0.05). There were significant differences in APRI and PALBI between the two groups (χ2=6.175 and 19.532, both P<0.05). The binary logistic regression analysis showed that APRI (odds ratio [OR]=0.309, 95% confidence interval [CI]: 0.109 — 0.881, P=0.028), PALBI (OR=7.667, 95%CI: 2.005 — 29.327, P=0.003), Ca (OR=0.001, 95%CI: 0.000 — 0.141, P=0.007), TC (OR=0.469, 95%CI: 0.226 — 0.973, P=0.042), and TT (OR=0.599, 95%CI: 0.433 — 0.830, P=0.002) were independent influencing factors for esophagogastric variceal bleeding in liver cirrhosis. A nomogram model was established based on the above factors and had an index of concordance of 0.899 and a well-fitted calibration curve. ConclusionAPRI and PALBI have a good value in predicting esophagogastric variceal bleeding in patients with liver cirrhosis, and the nomogram model established based on this study can predict the incidence rate of esophagogastric variceal bleeding in patients with liver cirrhosis.
2.Association between the severity of hypodontia and the characteristics of craniofacial morphology in a Chinese population: A cross-sectional study
Xin XIONG ; Jiaqi LIU ; Yange WU ; Chengxinyue YE ; Qinlanhui ZHANG ; Yufan ZHU ; Wenke YANG ; Jun WANG
The Korean Journal of Orthodontics 2023;53(3):150-162
Objective:
To investigate craniofacial differences in individuals with hypodontia and explore the relationship between craniofacial features and the number of congenitally missing teeth.
Methods:
A cross-sectional study was conducted among 261 Chinese patients (males, 124; females, 137; age, 7–24 years), divided into four groups (without hypodontia: no teeth missing, mild: one or two missing teeth, moderate: three to five missing teeth, severe: six or more missing teeth) according to the number of congenitally missing teeth. Differences in cephalometric measurements among the groups were analyzed. Further, multivariate linear regression and smooth curve fitting were performed to evaluate the relationship between the number of congenitally missing teeth and the cephalometric measurements.
Results:
In patients with hypodontia, SNA, NA-AP, FH-NA, ANB, Wits, ANS-Me/N-Me, GoGn-SN, UL-EP, and LL-EP significantly decreased, while Pog-NB, AB-NP, N-ANS, and S-Go/N-Me significantly increased. In multivariate linear regression analysis, SNB, Pog-NB, and S-Go/N-Me were positively related to the number of congenitally missing teeth. In contrast, NA-AP, FH-NA, ANB, Wits, N-Me, ANS-Me, ANS-Me/N-Me, GoGn-SN, SGn-FH (Y-axis), UL-EP, and LL-EP were negatively related, with absolute values of regression coefficients ranging from 0.147 to 0.357. Further, NA-AP, Pog-NB, S-Go/N-Me, and GoGn-SN showed the same tendency in both sexes, whereas UL-EP and LL-EP were different.
Conclusions
Compared with controls, patients with hypodontia tend toward a Class III skeletal relationship, reduced lower anterior face height, flatter mandibular plane, and more retrusive lips. The number of congenitally missing teeth had a greater effect on certain characteristics of craniofacial morphology in males than in females.

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