Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89％),high level-significant increasing group(6.11％),medium level-slow increasing group(65.00％).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P＜0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.

Objective To investigate the diagnostic value of pan-immune-inflammation value(PIV),aspartate aminotransferase to platelet ratio index(APRI)and fibrosis-4 index(FIB-4)in intrahepatic cholestasis of pregnancy(ICP).Methods A total of 312 pregnant women who underwent prenatal care and childbirth at Anhui Women and Children's Medical Center from September 2022 to December 2024 were selected as subjects.Among them,156 patients diagnosed with ICP were included in ICP group,while 156 healthy pregnant women formed control group.The study compared differences in PIV,APRI,and FIB-4 levels between two groups.Receiver operating characteristic(ROC)curves were used to evaluate the predictive capabilities of PIV,APRI,and FIB-4 indicators for ICP occurrence,both individually and in combination.Results Inflammatory response is involved in the occurrence of ICP,and PIV,APRI,and FIB-4 have good diagnostic value for ICP.When PIV and APRI are combined,they have higher diagnostic value in ICP group showed significantly higher PIV,APRI,and FIB-4 levels compared to control group(P＜0.05).The area under the curve(AUC)for diagnosing ICP using PIV,APRI,and FIB-4 were 0.636,0.751,and 0.627,respectively.When PIV combined with APRI,the diagnostic AUC reached 0.829 with sensitivity of 73.1％and specificity of 83.3％.Conclusion Inflammatory response is involved in the occurrence of ICP,and PIV,APRI and FIB-4 have good diagnostic value for ICP.Combination of PIV and APRI shows excellent diagnostic value.

Objective:To investigate dietary patterns under social jet lag in pregnant women with gestational diabetes mellitus (GDM) and analyze its relationship with blood glucose control and delivery outcomes, to provide a reference for comprehensive management of pregnant women with GDM.Methods:A cross-sectional study method was used to select pregnant women with GDM during their stay in the obstetrics ward of the Obstetrics and Gynaecology Hospital of Nanjing Medical University from October 2022 to December 2023 as the study population. Social jet lag and dietary information were collected using Simplified Food Frequency Questionnaire and Self-assessment Questionnaire on Social Jet Lag. Spearman correlation analysis was used to analyze the correlation between dietary patterns and blood glucose control as well as delivery outcomes. Receiver operating characteristic curve was used to analyze the predictive performance of social jet lag, dietary patterns and fasting blood glucose for cesarean section.Results:A total of 350 pregnant women with GDM were included, 140 pregnant women with social time lag, aged (31.97 ± 3.88) years old; 210 pregnant women without social time lag, aged (32.32 ± 3.91) years old. The plant-based dietary pattern factor, fast food dietary pattern factor, and the intakes of protein, fat, and carbohydrates of pregnant women with social jet lag were -0.06 (-0.25, 0.32) and 0.08 (-0.43, 0.66), (119.57 ± 89.77) g, (82.69 ± 59.48) g, (228.77 ± 140.18) g, compared with pregnant women without social jet lag [-0.21 (-0.39, 0.08), -0.24 (-0.57, 0.07), (86.29 ± 47.75) g, (57.31 ± 37.86) g, (170.79 ± 85.56) g], the differences were statistically significant ( Z=-2.39, -2.86, t=81.43, 90.78, 88.34, all P<0.05). The social jet lag of GDM women was positively correlated with plant-based dietary patterns, fast food dietary patterns, fasting blood glucose, glycated hemoglobin and cesarean section ( r values were 0.19-0.24, all P<0.05). The plant-based dietary pattern of pregnant women with GDM was negatively correlated with fasting blood glucose and cesarean section ( r=-0.17, -0.24, both P<0.05), while the fast food dietary pattern was positively correlated with fasting blood glucose and cesarean section ( r=0.20, 0.19, both P<0.05). The area under the curve in the combined prediction of multiple factors such as social jet lag, plant-based dietary pattern, fast food dietary pattern and fasting blood glucose for the outcome of cesarean section during pregnancy was 0.742. Conclusions:The dietary structure of GDM women with social jet lag is unreasonable, consume more carbohydrates, sugar, and fats, which are associated with poor glycemic control and increased cesarean section rate. Medical staff should be alerted to social jet lag preferences and dietary intake of GDM and include them in the risk assessment of adverse outcomes of GDM, give timely correction and strengthen management, which can provide a reference for early preventive interventions for GDM with different risk stratification.

Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89％),high level-significant increasing group(6.11％),medium level-slow increasing group(65.00％).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P＜0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.

Objective To investigate the diagnostic value of pan-immune-inflammation value(PIV),aspartate aminotransferase to platelet ratio index(APRI)and fibrosis-4 index(FIB-4)in intrahepatic cholestasis of pregnancy(ICP).Methods A total of 312 pregnant women who underwent prenatal care and childbirth at Anhui Women and Children's Medical Center from September 2022 to December 2024 were selected as subjects.Among them,156 patients diagnosed with ICP were included in ICP group,while 156 healthy pregnant women formed control group.The study compared differences in PIV,APRI,and FIB-4 levels between two groups.Receiver operating characteristic(ROC)curves were used to evaluate the predictive capabilities of PIV,APRI,and FIB-4 indicators for ICP occurrence,both individually and in combination.Results Inflammatory response is involved in the occurrence of ICP,and PIV,APRI,and FIB-4 have good diagnostic value for ICP.When PIV and APRI are combined,they have higher diagnostic value in ICP group showed significantly higher PIV,APRI,and FIB-4 levels compared to control group(P＜0.05).The area under the curve(AUC)for diagnosing ICP using PIV,APRI,and FIB-4 were 0.636,0.751,and 0.627,respectively.When PIV combined with APRI,the diagnostic AUC reached 0.829 with sensitivity of 73.1％and specificity of 83.3％.Conclusion Inflammatory response is involved in the occurrence of ICP,and PIV,APRI and FIB-4 have good diagnostic value for ICP.Combination of PIV and APRI shows excellent diagnostic value.

Objective:To investigate dietary patterns under social jet lag in pregnant women with gestational diabetes mellitus (GDM) and analyze its relationship with blood glucose control and delivery outcomes, to provide a reference for comprehensive management of pregnant women with GDM.Methods:A cross-sectional study method was used to select pregnant women with GDM during their stay in the obstetrics ward of the Obstetrics and Gynaecology Hospital of Nanjing Medical University from October 2022 to December 2023 as the study population. Social jet lag and dietary information were collected using Simplified Food Frequency Questionnaire and Self-assessment Questionnaire on Social Jet Lag. Spearman correlation analysis was used to analyze the correlation between dietary patterns and blood glucose control as well as delivery outcomes. Receiver operating characteristic curve was used to analyze the predictive performance of social jet lag, dietary patterns and fasting blood glucose for cesarean section.Results:A total of 350 pregnant women with GDM were included, 140 pregnant women with social time lag, aged (31.97 ± 3.88) years old; 210 pregnant women without social time lag, aged (32.32 ± 3.91) years old. The plant-based dietary pattern factor, fast food dietary pattern factor, and the intakes of protein, fat, and carbohydrates of pregnant women with social jet lag were -0.06 (-0.25, 0.32) and 0.08 (-0.43, 0.66), (119.57 ± 89.77) g, (82.69 ± 59.48) g, (228.77 ± 140.18) g, compared with pregnant women without social jet lag [-0.21 (-0.39, 0.08), -0.24 (-0.57, 0.07), (86.29 ± 47.75) g, (57.31 ± 37.86) g, (170.79 ± 85.56) g], the differences were statistically significant ( Z=-2.39, -2.86, t=81.43, 90.78, 88.34, all P<0.05). The social jet lag of GDM women was positively correlated with plant-based dietary patterns, fast food dietary patterns, fasting blood glucose, glycated hemoglobin and cesarean section ( r values were 0.19-0.24, all P<0.05). The plant-based dietary pattern of pregnant women with GDM was negatively correlated with fasting blood glucose and cesarean section ( r=-0.17, -0.24, both P<0.05), while the fast food dietary pattern was positively correlated with fasting blood glucose and cesarean section ( r=0.20, 0.19, both P<0.05). The area under the curve in the combined prediction of multiple factors such as social jet lag, plant-based dietary pattern, fast food dietary pattern and fasting blood glucose for the outcome of cesarean section during pregnancy was 0.742. Conclusions:The dietary structure of GDM women with social jet lag is unreasonable, consume more carbohydrates, sugar, and fats, which are associated with poor glycemic control and increased cesarean section rate. Medical staff should be alerted to social jet lag preferences and dietary intake of GDM and include them in the risk assessment of adverse outcomes of GDM, give timely correction and strengthen management, which can provide a reference for early preventive interventions for GDM with different risk stratification.

Objective:To investigate the attributes and influencing factors of care needs for maternal after perinatal loss, and to provide a reference for promoting maternal physical and mental health and improving the quality of care.Methods:From February to June of 2023, a cross-sectional study was used, 222 maternal after perinatal loss were selected by the convenience sampling method and completed a battery of questionnaires, including a general information questionnaire, the Distress Thermometer (DT), the Perceived Social Support Scale (PSSS), the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form (ATSPPH-SF) and Kano Model-based Questionnaire on Care Needs for Maternal after Perinatal Loss.Results:A total of 207 maternal after perinatal loss were included in the complete data, (31.12±4.55) years old, (68.64 ± 10.70) of PSSS, (16.10 ± 3.43) of ATSPPH-SF. The care needs for maternal after perinatal loss included 4 must-be quality, 8 one-dimensional quality and 13 attractive quality. Multiple linear regression analysis showed that education level ( t=2.28), the PSSS score ( t=2.15) and the ATSPPH-SF score ( t=3.94) were the main influencing factors of care needs for maternal after perinatal loss (all P<0.05). Conclusions:Health care professionals should gradually improve the nursing service system according to the priority division of care needs attributes of maternal after perinatal loss, and develop personalized care according to different influencing factors.

Objective:To evaluate the impact of assisted reproductive technology (ART) on postpartum breastfeeding outcomes.Methods:This paper electronically retrieved the China Biology Medicine disc, China National Knowledge Infrastructure, VIP, WanFang Data, PubMed, Embase, Web of Science, and Cochrane Library. The search period was from database establishment to March 15, 2023. After independent literature search, screening, data extraction, and quality evaluation by two researchers, Meta-analysis was conducted using R 4.2.2 software.Results:A total of 11 articles were included. Meta-analysis showed that compared with naturally conceived mothers, the rates of exclusive breastfeeding at 1th week postpartum ( RR=0.84, 95% CI: 0.73-0.97), exclusive breastfeeding at 6th months postpartum ( RR=0.77, 95% CI: 0.61-0.98), and the incidence of breastfeeding for >6 months postpartum ( RR=0.71, 95% CI: 0.53-0.96) were decreased, and the rate of artificial feeding at 12th months postpartum ( RR=1.09, 95% CI: 1.02-1.17) was increased. However, there were no statistically significant differences in the rate of artificial feeding at 8th months postpartum, the incidence of breastfeeding duration >12 months, and the incidence of breastfeeding difficulties ( P>0.05) . Conclusions:ART reduces the rate of exclusive breastfeeding in postpartum 1th week and 6th months, and the incidence of postpartum breastfeeding duration>6 months, and increases the artificial feeding rate in postpartum 12th months. However, the impact of ART on the incidence of breastfeeding difficulties is not yet clear and still needs to be further demonstrated by high-quality studies.