1.Application value of blue-on-yellow perimetry combined with detection of macular ganglion cells inner plexiform layer in early diagnosis of open angle glaucoma
Leilei LIN ; Yu CHEN ; Nannan DONG
International Eye Science 2025;25(4):544-550
AIM: To analyze the value of blue-on-yellow perimetry(B/Y)combined with macular ganglion cells inner plexiform layer(GCIPL)detection in the early diagnosis of open angle glaucoma.METHODS: A prospective case-control study was conducted to collect 100 patients(174 eyes)from May 2023 to May 2024 in Eye Hospital of Wenzhou Medical University as the case group, and 20 healthy volunteers(40 eyes)as the control group. The case group was divided into high intraocular pressure group, suspected glaucoma group, and early glaucoma group based on the examination results. All study subjects underwent comprehensive ophthalmic examination, white-on-white perimetry(W/W)and B/Y examination, and swept source optical coherence tomography(SS-OCT)was used to scan the optic disc and macula to obtain relevant parameters. The value of B/Y combined with macular GCIPL in the diagnosis of open angle glaucoma was analyzed.RESULTS: In the case group, 30 cases(52 eyes)were diagnosed with early primary open angle glaucoma, 46 cases(82 eyes)were suspected of open angle glaucoma, and 24 cases(40 eyes)were diagnosed with high intraocular pressure. The W/W mean defect(MD)and B/Y-MD values in the early glaucoma group were lower than those in the control group, high intraocular pressure group, and suspected glaucoma group. The W/W pattern standard deviation(PSD)and B/Y-PSD values were higher than those in the control group, high intraocular pressure group, and suspected glaucoma group(all P<0.05). The W/W-MD and B/Y-MD values in the suspected glaucoma group were lower than those in the control group and the high intraocular pressure group(all P<0.05). The B/Y-MD values in the high intraocular pressure group were lower than those in the control group(P<0.05). The parameters of GCIPL in the macular area of the early glaucoma group were lower than those of the control group, high intraocular pressure group, and suspected glaucoma group(all P<0.05). The minimum GCIPL in the macular area of the suspected glaucoma group, as well as the upper and lower temporal areas, were lower than those of the control group and the high intraocular pressure group(all P<0.05). The average, upper, lower, temporal, 5:00, 6:00, and 12:00 positions of the retinal nerve fiber layer(RNFL)parameters around the optic disc in the early glaucoma group were lower than those in the control group, high intraocular pressure group, and suspected glaucoma group(all P<0.05). The average and upper RNFL parameters in the suspected glaucoma group were lower than those in the control group and high intraocular pressure group. The rim area of the optic nerve head(ONH)parameters in the early glaucoma group was smaller than that in the control group, high intraocular pressure group, and suspected glaucoma group, while the horizontal and vertical cup-to-disc ratio was higher than those in the control group, high intraocular pressure group, and suspected glaucoma group; the rim area of the suspected glaucoma group was smaller than that of the control group and high intraocular pressure group, and the horizontal and vertical cup-to-disc ratio were higher than those of the control group and high intraocular pressure group(all P<0.05). Receiver operating characteristic(ROC)curve was drawn, and the results showed that visual field parameters, macular GCIPL parameters, and RNFL parameters had certain diagnosibility for early open angle glaucoma and suspected glaucoma. Decision curve was drawn, and the results showed that when the threshold was between 0 and 1.0, the net return rate of diagnosing early open angle glaucoma with the combination of B/Y and macular GCIPL parameters was higher than the individual diagnostic efficacy of each indicator.CONCLUSION: The combination of B/Y and macular GCIPL detection can be an important means for the early diagnosis of glaucoma.
2.Changes of retinal structure and function before and after panretinal photocoagulation in patients with proliferative diabetic retinopathy
Nannan DONG ; Liqing WEI ; Yu CHEN ; Jiapeng WANG ; Leilei LIN
International Eye Science 2025;25(5):718-724
AIM: To analyze the changes of retinal structure and function before and after panretinal photocoagulation(PRP)in patients with proliferative diabetic retinopathy(PDR).METHODS: Prospective study. Totally 98 cases(98 eyes)of PDR patients who underwent PRP in Eye Hospital of Wenzhou Medical University from January 2022 to May 2023 were included. Optical coherence tomography angiography(OCTA)was used to detect central retinal thickness(CRT), central macular thickness(CMT), subfoveal choroidal thickness(SFCT), foveal avascular zone(FAZ), deep vascular complex(DVC)blood flow density, superficial vascular complex(SVC)blood flow density before and at 1 wk, 1 and 3 mo after PRP. During the follow-up, 1 eye underwent vitrectomy, 2 eyes were lost to follow-up, and finally 95 eyes completed 1 a follow-up, with a loss rate of 3%. According to the visual prognosis at 1 a after treatment, the patients were divided into two groups: 73 eyes in good prognosis group and 22 eyes in poor prognosis group(including 9 eyes of visual disability and 13 eyes of visual regression). The changes in retinal structure and function before and after PRP treatment were compared between the two groups of patients, and the receiver operating characteristic(ROC)curve and decision curve were used to analyze the predictive value of retinal structure and function for PDR treatment.RESULTS: There were statistical significant differences in PDR staging, CRT, CMT, SFCT, DVC blood flow density, and SVC blood flow density between the two groups of patients before treatment(all P<0.05). At 1 wk, 1 and 3 mo after treatment, the FAZ area of both groups decreased compared to before treatment, while the blood flow density of DVC and SVC increased compared to before treatment(both P<0.05). However, there was no significant difference in the blood flow density of FAZ, DVC, and SVC between the two groups at 1 wk, 1 and 3 mo after treatment(all P>0.05). The CRT, CMT and SFCT of the two groups at 1 wk after treatment were higher than those before treatment(all P<0.05), but there were no significant differences between the two groups(all P>0.05). The CRT, CMT and SFCT at 1 and 3 mo after treatment were lower than those at 1 wk after treatment and before treatment in both groups. The CRT, CMT and SFCT in the poor prognosis group at 3 mo after treatment were higher than those at 1 mo after treatment, and were higher than those in the good prognosis group(all P<0.05). ROC analysis showed that, at 3 mo after laser treatment in PDR patients, the area under the curve of the CRT, CMT, and SFCT alone or in combination after treatment for 1 a was 0.788, 0.781, 0.783, and 0.902, respectively, and the combined prediction value was better(P<0.05). Decision curve analysis showed that the combined detection of CRT, CMT, and SFCT in PDR patients at 3 mo after treatment can improve the predictive value of visual prognosis.CONCLUSION: The optimal time for retinal structure and function recovery in PDR patients after PRP treatment is between 1 wk and 1 mo. OCTA measurement of CRT, CMT, and SFCT at 3 mo after treatment can predict the visual prognosis during the 1 a treatment period.
3.Suppression of LIF in tumor-associated macrophages contributing to the PD-1/PD-L1 blockade in hepatocellular carcinoma.
Shuangshuang YIN ; Yanming LUO ; Miaomiao JIANG ; Lifeng HAN ; Sibao CHEN ; Leilei FU ; Yuling QIU ; Haiyang YU
Journal of Pharmaceutical Analysis 2025;15(10):101286-101286
Image 1.
4.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
5.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
6.Construction and validation of pregnancy prediction model of artificial insemination by husband based on endometrial structure and uterine spiral artery blood flow parameters
Guangyu YU ; Jiaqi FAN ; Shibei CHEN ; Leilei GAO ; Qing YU ; Chao ZHOU ; Chunmei YU ; Zhen JIN
Chinese Journal of Tissue Engineering Research 2024;28(19):3061-3068
BACKGROUND:The impact of the endometrium's structure and spiral artery blood flow parameters on the pregnancy rate of artificial insemination by husband remains unclear.This study identified the independent factors and constructed a prediction model with good clinical application efficacy after calibration of other confounding factors. OBJECTIVE:To construct and validate a clinical pregnancy prediction model for artificial insemination by husband based on endometrial structure and uterine spiral artery blood flow parameters. METHODS:A retrospective analysis was conducted on 1 299 patients who underwent artificial insemination by husband treatment at Changzhou Maternal and Child Health Hospital from January 2017 to January 2021.The non-pregnancy group consisted of 1 182 patients,while the pregnancy group included 117 patients.Out of these patients,93 cases were successfully matched between the pregnancy and non-pregnancy groups using a 1∶1 propensity score matching method.Single-factor and multi-factor analyses were used to screen the endometrial structure and uterine spiral artery blood flow parameters to determine their influence on artificial insemination by husband outcomes.The optimal cutoff value was established for each independent influencing factor through receiver operating curve analysis and their risk trend affecting artificial insemination by husband pregnancy outcomes was analyzed using a restricted cubic spline.The clinical efficacy of this combined forecast model was tested by using clinical decision curve and clinical influence curve methods. RESULTS AND CONCLUSION:(1)There was no statistical significance in non-endometrial factors between the pregnancy group and the non-pregnancy group,and the data had a good balance by propensity score matching(P>0.05).(2)Single-factor analysis identified several subendometrial parameters as significant influencing factors of artificial insemination by husband pregnancy outcomes,including vascularization index,flow index,vascular flow index,resistance index,pulsatility index,maximum systolic velocity/end-diastolic velocity,thickness of average junction zone and maximum junction zone from the basal endometrium to the outer myometrium inner layer(P<0.05).(3)Multivariate logistic regression analysis revealed that thickness of average junction zone,pulsatility index,and vascular flow index were independent influencing factors of pregnancy outcomes of artificial insemination by husband,vascular flow index>thickness of average junction zone>pulsatility index.(4)Receiver operating characteristic curve analysis indicated that the area under receiver operating characteristic curve of vascular flow index was 0.704(0.629,0.779),and the optimal cutoff value was 6.26;the area under receiver operating characteristic curve of thickness of average junction zone was 0.660(0.582,0.739),and the optimal cutoff value was 6.38;the area under receiver operating characteristic curve of pulsatility index was 0.642(0.563,0.721),and the optimal cutoff value was 1.18.(5)The restricted cubic spline analysis revealed that artificial insemination by husband pregnancy outcomes were significantly positively affected when the vascular flow index was>6.24 or the thickness of average junction zone was≤6.55 mm,while a negative risk was associated with pulsatility index>1.27.(6)The clinical decision curve and clinical influence curve analyses exhibited that the combined prediction model had the maximum clinical net benefit at the threshold probability value of 0.17-0.93,and the ratio of loss to benefit was consistently less than 1 in the threshold probability range,indicating that the model had good clinical efficacy.(7)It is concluded that after adjusting for other confounding factors outside of the endometrium using propensity score matching and multifactorial logistic regression,the thickness of average junction zone,pulsatility index and vascular flow index were independent factors that influenced pregnancy outcomes of artificial insemination by husband.Through determining their optimal cutoff values and assessing their risk trends,it was confirmed that the combined prediction model had good predictive value and clinical efficacy.
7.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
8.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
9.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
10.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.

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