Development of MIF/IL-1β Biosensors for Discovery of Critical Quality Attributes and Allergic Rhinitis Targets from Clinical Real-world data by Intelligent Algorithm coupled with in Vitro and Vivo Mechanism Validation

2021 ◽  
pp. 113608
Author(s):  
Lijuan Ma ◽  
Yanfei Zheng ◽  
Ji Wang ◽  
Qianqian Li ◽  
Jingqi Zeng ◽  
...  
Allergy ◽  
2018 ◽  
Vol 73 (9) ◽  
pp. 1763-1774 ◽  
Author(s):  
J. Bousquet ◽  
P. Devillier ◽  
S. Arnavielhe ◽  
A. Bedbrook ◽  
G. Alexis-Alexandre ◽  
...  

Allergy ◽  
2017 ◽  
Vol 72 (6) ◽  
pp. 959-966 ◽  
Author(s):  
C. Colás ◽  
M. Brosa ◽  
E. Antón ◽  
J. Montoro ◽  
A. Navarro ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xue Wang ◽  
Lei Jin ◽  
Yun-dong Mao ◽  
Juan-zi Shi ◽  
Rui Huang ◽  
...  

AimsThis study aimed to explore the value of ovarian reserve tests (ORTs) for predicting poor ovary response (POR) and whether an age cutoff could improve this forecasting, so as to facilitate clinical decision-making for women undergoing in vitro fertilization (IVF).MethodsA retrospective cohort study was conducted on poor ovary response (POR) patients using real-world data from five reproductive centers of university-affiliated hospitals or large academic hospitals in China. A total of 89,002 women with infertility undergoing their first traditional ovarian stimulation cycle for in vitro fertilization from January 2013 to December 2019 were included. The receiver operating characteristic (ROC) curve was performed to estimate the prediction value of POR by the following ORTs: anti-Mullerian hormone (AMH), antral follicle count (AFC), basal FSH (bFSH), as well as patient age.ResultsIn this retrospective cohort, the frequency of POR in the first IVF cycle was 14.8%. Age, AFC, AMH, and bFSH were used as predicting factors for POR, of which AMH and AFC were the best indicators when using a single factor for prediction (AUC 0.862 and 0.842, respectively). The predictive values of the multivariate model included age and AMH (AUC 0.865), age and AFC (AUC 0.850), age and all three ORTs (AUC 0.873). Compared with using a single factor alone, the combinations of ORTs and female age can increase the predictive value of POR. Adding age to single AMH model improved the prediction accuracy compared with AMH alone (AUC 0.865 vs. 0.862), but the improvement was not significant. The AFC with age model significantly improved the prediction accuracy of the single AFC model (AUC 0.846 vs. 0.837). To reach 90% specificity for POR prediction, the cutoff point for age was 38 years old with a sensitivity of 40.7%, 5 for AFC with a sensitivity of 55.9%, and 1.18 ng/ml for AMH with a sensitivity of 63.3%.ConclusionAFC and AMH demonstrated a high accuracy when using ROC regression to predict POR. When testing is reliable, AMH can be used alone to forecast POR. When AFC is used as a prediction parameter, age is suggested to be considered as well. Based on the results of the cutoff threshold analysis, AFC ≤ 5 and AMH ≤ 1.18 ng/ml should be recommended to predict POR more accurately in IVF/ICSI patients.


2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  

2020 ◽  
Author(s):  
Jersy Cardenas ◽  
Gomez Nancy Sanchez ◽  
Sierra Poyatos Roberto Miguel ◽  
Luca Bogdana Luiza ◽  
Mostoles Naiara Modroño ◽  
...  

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