Automated Author ProfileCao, Huiling
Cao, Huiling
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The objective of this study is to explore the risk factors associated with invasive ventilation and ECMO. Efficient indicators for IMV and ECMO were believed to significantly reduce the mortality rate of severe patients because of the reasonable medication and timely operation. In subgroup analyses, 89 patients received invasive mechanic ventilation were divided into two groups (ECMO group vs non-ECMO group).Patients who received ECMO were more likely to be younger, to have coronary heart disease (p=0.01), and higher PCT, Aspartate aminotransferase (AST), Tbil, Mb, Fibrinogen (Fbg), prothrombin time (PT), d- dimer>0.5, shorter interval time from admission to invasive mechanical ventilation and lower PaO2/FiO2 compared with the non-ECMO. Variables with P<0.02 in the univariate analysis were included in the multivariate regression analysis. In multivariate analysis, age older than 65 (OR 0.175, 95%CI 0.036-0.855, p=0.031) and higher PaO2/FiO2 (OR 0.014, 95%CI 0.001-0.143, p<0.001) were associated with lower odds of ECMO treatment. It should be noted that more survivors were in the ECMO group than non-ECMO group (52.6% vs 13.7% p<0.001), indicating the effectiveness of ECMO.
Authors
- Cao, Huiling
The objective of this study is to explore the risk factors associated with invasive ventilation and ECMO. Efficient indicators for IMV and ECMO were believed to significantly reduce the mortality rate of severe patients because of the reasonable medication and timely operation. In subgroup analyses, 89 patients received invasive mechanic ventilation were divided into two groups (ECMO group vs non-ECMO group).Patients who received ECMO were more likely to be younger, to have coronary heart disease (p=0.01), and higher PCT, Aspartate aminotransferase (AST), Tbil, Mb, Fibrinogen (Fbg), prothrombin time (PT), d- dimer>0.5, shorter interval time from admission to invasive mechanical ventilation and lower PaO2/FiO2 compared with the non-ECMO. Variables with P<0.02 in the univariate analysis were included in the multivariate regression analysis. In multivariate analysis, age older than 65 (OR 0.175, 95%CI 0.036-0.855, p=0.031) and higher PaO2/FiO2 (OR 0.014, 95%CI 0.001-0.143, p<0.001) were associated with lower odds of ECMO treatment. It should be noted that more survivors were in the ECMO group than non-ECMO group (52.6% vs 13.7% p<0.001), indicating the effectiveness of ECMO.
Authors
- Cao, Huiling