1.Correlation between lactate/albumin ratio level and incidence of multiple organ dysfunction syndrome as well as mortality in patients with sepsis
Biao WANG ; Zeyu WANG ; Rong XU ; Zhangfeng YU ; Yu PENG ; Weixue SU ; Gang CHEN ; Dianfa LI
Chinese Journal of Infection Control 2017;16(5):417-422
Objective To study the correlation between lactate/albumin ratio level and incidence of multiple organ dysfunction syndrome (MODS) as well as mortality in patients with severe sepsis or septic shock.Methods In January 2012-September 2013, 54 patients who were admitted to the intensive care unit(ICU) of a hospital developed severe sepsis and septic shock on the first day of admission, clinical data of patients were analyzed.Results On the first and second days of admission, 30(55.56%)and 26(53.06%)patients developed MODS;lactate/albumin ratio between MODS group and non-MODS group on the first and second days of admission were both significantly different (both P<0.05).Multivariate logistic regression analysis showed that lactate/albumin ratio, oxygenation index (PaO2/FiO2), as well as acute physiology and chronic health evaluation (APACHE Ⅱ) were independent risk factors for predicting MODS in patients with severe sepsis.Lactate/albumin ratios between MODS group and non-MODS group, death group and non-death group were both significantly different (both P<0.05);lactate/albumin ratio was correlated with APACHE Ⅱand PaO2/FiO2, the higher the APACHE Ⅱ score and the lower the PaO2/FiO2, the higher of lactate/albumin ratio.The area under the receiver operating curve (ROC curve) analysis showed that incidence and mortality of MODS on the first day of admission predicted by lactate /albumin ratio were 0.85 and 0.84 respectively;sensitivity, specificity, positive predictive value, and negative predictive value of occurrence of MODS predicted by lactate /albumin ratio>1.735 were 80.00%, 79.17%, 82.67%, and 75.92% respectively, sensitivity, specificity, positive predictive value, and negative predictive value of mortality were 100.00%, 51.02%, 17.23%, and 100.00% respectively.Conclusion Lactate/albumin ratio level is closely correlated with incidence and mortality of MODS in patients with severe sepsis or septic shock.
2.A comparative study on apical sealing performance between single cone obturation and warm gutta-percha root canal filling
XU Zhangfeng ; ZHANG Hao ; ZHOU Yongqing
STOMATOLOGY 2023;43(2):114-117
Objective:
To compare the sealing performance of three kinds of sealers AH-Plus, iRoot SP and GuttaFlow2 combined with single cone obturation and warm gutta-percha root canal filling.
Methods:
Seventy premolars with single root canal were extracted recently and prepped to P# by Waveone gold system after truncating tooth crown. Then they were randomly divided into 6 experimental groups (10 premolars per group) and 2 control groups (5 premolars per group). Single tip filling and warm gutta-percha filling were performed, namely AH-Plus single tip filling group (A1), AH-Plus warm gutta-percha filling group (A2), iRoot SP single tip filling group (B1), iRoot SP warm gutta-percha filling group (B2), GuttaFlow2 single tip filling group (C1), GuttaFlow2 warm gutta-percha group (C2), positive control group (D group) and negative control group (E group). After dye penetration test was performed on the filled teeth, microleakage of root tip was detected by longitudinal section method.
Results:
A1 group had the largest microleakage value, while B2 group had the smallest microleakage value. There was no statistically significant difference in apical sealing between single-tip filling and hot dental glue filling with the same sealant (P>0.05), and also no statistically significant difference in apical sealing between the three kinds of sealant with the same filling technology (P>0.05).
Conclusion
None of the three root canal sealers can completely seal the root canal, and there is no significant difference in the sealing effect between single tip filling and warm gutta-percha filling.
3.Copy number variants of ABCF1, IL17REL, and FCGR3A are associated with the risk of gout.
Zheng DONG ; Yuan LI ; Jingru ZHOU ; Shuai JIANG ; Yi WANG ; Yulin CHEN ; Dongbao ZHAO ; Chengde YANG ; Qiaoxia QIAN ; Yanyun MA ; Hongjun HE ; Hengdong JI ; Yajun YANG ; Xiaofeng WANG ; Xia XU ; Yafei PANG ; Hejian ZOU ; Li JIN ; Feng ZHANG ; Jiucun WANG
Protein & Cell 2017;8(6):467-470