Objective:To explore the predictive factors associated with the pregnancy outcome for poor ovarian response (POR) patients, and to establish Nomogram prediction model to evaluate the probability of the live birth of POR patients.Methods:The clinical data of 2667 patients who underwent in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) treatment in the Center of Reproductive Medicine, the First People's Hospital of Shangqiu and the First Affiliated Hospital of Xinjiang Medical University from February 1, 2015 to February 28, 2019 were retrospectively analyzed by a cohort study. Logistic regression was used to screen out the independent predictive factors on the pregnancy outcome of IVF/ICSI in poor ovarian reserve patients, which was the model enrollment variable, and the Nomogram model was established according to the regression coefficient of the relevant variables. The prediction accuracy of the pregnancy outcome nomogram model was evaluated by calculating the receiver operating characteristic (ROC) curve and the area under the curve (AUC). Results:Multivariate logistic regression analysis showed that female age ( OR=0.876, 95% CI=0.849-0.902, P<0.001), antral follicle count (AFC) ( OR=1.283, 95% CI=1.133-1.463, P<0.001), total dosage of gonadotropin (Gn) used ( OR=1.002, 95% CI=1.001-1.004, P<0.001), duration of Gn used ( OR=0.786, 95% CI=0.636-0.963, P=0.018), No. of M II oocytes ( OR=0.842, 95% CI=0.712-0.985, P=0.033) and No. of transferable embryos ( OR=2.052, 95% CI=1.762-2.403, P<0.001) were independent predictive factors of live birth. According to the independent predictive factors, the prediction model of pregnancy outcome of POR patients was established, and the AUC of the modeling group was 0.894(95% CI=0.879-0.909), the AUC of the validation group was 0.902(95% CI=0.896-0.912), indicating good model compliance. Conclusion:Age, AFC, total dosage of Gn used, duration of Gn used, No. of M II oocytes and No. of transferable embryos are independent predictive factors of the pregnancy outcome for poor ovarian reserve patients, the successful establishment of nomogram model can effectively predict the live birth for POR patients.

Objective:To explore the predictive factors associated with the pregnancy outcome for poor ovarian response (POR) patients, and to establish Nomogram prediction model to evaluate the probability of the live birth of POR patients.Methods:The clinical data of 2667 patients who underwent in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) treatment in the Center of Reproductive Medicine, the First People's Hospital of Shangqiu and the First Affiliated Hospital of Xinjiang Medical University from February 1, 2015 to February 28, 2019 were retrospectively analyzed by a cohort study. Logistic regression was used to screen out the independent predictive factors on the pregnancy outcome of IVF/ICSI in poor ovarian reserve patients, which was the model enrollment variable, and the Nomogram model was established according to the regression coefficient of the relevant variables. The prediction accuracy of the pregnancy outcome nomogram model was evaluated by calculating the receiver operating characteristic (ROC) curve and the area under the curve (AUC). Results:Multivariate logistic regression analysis showed that female age ( OR=0.876, 95% CI=0.849-0.902, P<0.001), antral follicle count (AFC) ( OR=1.283, 95% CI=1.133-1.463, P<0.001), total dosage of gonadotropin (Gn) used ( OR=1.002, 95% CI=1.001-1.004, P<0.001), duration of Gn used ( OR=0.786, 95% CI=0.636-0.963, P=0.018), No. of M II oocytes ( OR=0.842, 95% CI=0.712-0.985, P=0.033) and No. of transferable embryos ( OR=2.052, 95% CI=1.762-2.403, P<0.001) were independent predictive factors of live birth. According to the independent predictive factors, the prediction model of pregnancy outcome of POR patients was established, and the AUC of the modeling group was 0.894(95% CI=0.879-0.909), the AUC of the validation group was 0.902(95% CI=0.896-0.912), indicating good model compliance. Conclusion:Age, AFC, total dosage of Gn used, duration of Gn used, No. of M II oocytes and No. of transferable embryos are independent predictive factors of the pregnancy outcome for poor ovarian reserve patients, the successful establishment of nomogram model can effectively predict the live birth for POR patients.

Objective To verify the clinical applicability of the published standard intervals (WS/T402-2012) for WBC , RBC ,PLT and Hb based on the health examination results of Han and Uygur populations in Urumqi .Methods This was a retro-spective study .The results of WBC ,RBC ,PLT and Hb from health examination individuals of Han and Uygur populations from August 2013 to January 2015 were collected ,9 307 health subjects age range from 20 to 79 years of the two nationalities were cho-sen using health examination information system .The percents of health subjects failed falling in the published standard interval were calculated to verify the judgment criterion ,fail falling rate < 10 .00% was regard as qualified .Results The test of normality revealed that the Han and Uygur′s results of all verified items were skewed distributions .The 2 .5% and 97 .5% percentiles of the results of two nationalities :WBC Han(3 .6 ~ 9 .6) × 109 /L ,Uygur(3 .8 ~ 9 .9) × 109 /L ;RBC Han Male (4 .3 ~ 5 .9) × 1012 /L and Female (3 .9 ~ 5 .2) × 1012 /L ,Uygur Male (4 .4 ~ 5 .8) × 1012 /L and Female (3 .9 ~ 5 .2) × 1012 /L ;PLT Han(130 ~ 351) × 109 /L , Uygur(145 ~ 370) × 109 /L) ,and Hb Han :Male (133 ~ 178)g/L and Female (111 ~ 153)g/L ,Uygur :Male (133 ~ 174) g/L and Fe-male (110 ~ 152)g/L .The significant differences of each testing item were found in the different sex from the same nationality(P<0 .01) .The percents of health subjects failed falling in the published standard interval were < 10 .00% in both Han and Uygur na-tionality .Conclusion The published standard reference intervals for WBC ,RBC ,PLT and Hb are applicable to our laboratory for the detection of Han and Uygur populations .