1.Meta-synthesis of qualitative research on the experience of kinesiophobia in patients with cardiac rehabilitation
Jianping LIU ; Weiting GUO ; Wei GAO ; Wenjun WANG ; Yuan SHENG ; Chunmei FAN ; Qi LU ; Deshan LIU
Chinese Journal of Nursing 2024;59(4):474-481
Objective To systematically review and synthesize the psychological experience of kinesiophobia in patients with cardiac rehabilitation.Methods PubMed,Web of science,Journals@Ovid,Embase,CINAHL,PsycINFO,Cochrane Library,CNKI,SinoMed,WanFang Database,Vip Database,American Heart Association,European Society of Cardiology and American Association of Cardiovascular and Pulmonary Rehabilitation were searched to collect qualitative research on the psychological experience of cardiac rehabilitation patients with kinesiophobia.The retrieval time was from the establishment of the databases to Jun 2023.The literature was evaluated using the Australian JBI Quality Evaluation Criteria for Qualitative Research in Evidence-based Health Care Centres(2016),and the results were consolidated using an aggregative integration approach.Results A total of 45 results were extracted from 14 studies.Similar results were summarized into 10 groups,and 3 integrated results were synthesized as followed.Kinesiophobia was influenced by many factors;kinesiophobia affects the life experience of patients;strategies to reduce the level of kinesiophobia.Conclusion Nurses should pay more attention to psychological experience of kinesiophobia,and take the corresponding intervention measures to help patients overcome the psychological barriers of kinesiophobia,perfect personalized exercise programs,and improve the level of physical activity.
2.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.
3.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.
4.Establish of the risk predictive model for varicella outbreaks in primary and middle schools
ZHENG Yongtao, YE Chunmei, NI Zuowei, ZHANG Jiani, LAI Fenhua, GAO Yanmin, YANG Dongbo, WANG Yanmei
Chinese Journal of School Health 2024;45(6):873-877
Objective:
To investigate the epidemiological characteristics of varicella outbreaks in primary and middle schools, and to establish a risk predictive model, so as to provide scientific guidance for the prevention of varicella outbreaks in schools.
Methods:
Based on a nested case-control study, primary and middle schools in 4 districts of Shanghai (Yangpu District and Jingan District) and Hangzhou (Xiaoshan District and Linping District) from January to December 2023 were selected to observe the status of varicella outbreaks. Associated factors of varicella outbreaks were investigated and used for establishing the predictive model, which was evaluated by the Hosmer-Lemeshow(H-L) goodness of fit test, receiver operating characteristic (ROC) curve, Calibration curve, decision curve analysis (DCA).
Results:
A total of 98 varicella outbreaks were included, with 195 schools without varicella outbreaks during the same period as controls. Eight factors, including the availability of warm water in restroom, availability of hand soap in restroom, average class size, duration of student attendance at school per day, presence of a fulltime school doctor, hesitancy of the school principal towards varicella vaccination, and rates of first and second doses of varicella vaccination, were identified as potential factors for school varicella outbreaks, with statistically significant differences (χ2/Z=10.01, 20.49, 17.43, 9.74, 32.17, 6.60, 2.20, 3.39, P<0.05). The 8 variables above were employed to construct a risk predictive model, and Hosmer-Lemeshow goodness of fit test yielded a χ2 value of 5.863 (P>0.05); the area under the ROC curve (AUC) was 0.846 (95%CI=0.799-0.893); Calibration curve analysis indicated good consistency between predicted and actual values of the model. DCA demonstrated favorable predictive performance of the model over a wide range.
Conclusions
The predictive model for school varicella outbreaks demonstrates satisfactory accuracy and efficacy. It suggested to make good use of this prediction model and take relevant measures to reduce the risk of varicella transmission in schools.
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.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.
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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