GnRH agonist-only trigger, compared to dual trigger, reduces oocyte retrieval rate in high responders without affecting cumulative live birth rate.

Introduction: This study compared, in high responders undergoing IVF treatment, GnRH agonist-only trigger and dual trigger on oocyte retrieval rate and cumulative live birth rate (LBR). The aim was to determine if the GnRH agonist-only triggers had provided outcomes comparable to dual trigger, while minimizing the risk of ovarian hyperstimulation syndrome (OHSS). Materials and methods: A retrospective, matched case-control study was conducted at Taichung Veterans General Hospital, Taiwan, including women who underwent IVF/ICSI between January 1, 2014, and December 31, 2022. Inclusion criteria were: GnRH antagonist protocol and estrogen level >3,000 pg/ml on trigger day. Exclusion criteria were: immune/metabolic diseases, donated oocytes, and mixed stimulation cycles. Propensity score matching was applied to balance age, AMH level, and oocyte number between the GnRH agonist-only and dual trigger groups. Outcomes were analyzed for patients who had complete treatment cycles, focusing on oocyte retrieval rate and cumulative LBR. Results: We analyzed 116 cycles in the agonist-only group, and 232 cycles in the dual trigger group. No inter-group difference was found in their age, BMI, and AMH levels. The dual trigger group had a higher oocyte retrieval rate (93% vs. 80%; p <0.05), while fertilization rates, blastocyst formation rates, and cumulative LBR were comparable. Notably, no OHSS cases had been reported in the GnRH agonist-only group, compared with 7 cases in the dual trigger group. Conclusion: GnRH agonist-only triggers resulted in a lower oocyte retrieval rate compared to dual triggers but did not significantly affect cumulative LBR in high responders. This approach effectively reduces OHSS risk without compromising pregnancy outcomes, making it a preferable option in freeze-all strategies, despite a longer oocyte pick-up duration and a medium cost. GnRH agonist-only trigger, however, may not be suitable for fresh embryo transfers or patients with low serum LH levels on trigger day.

Interrupted time series analysis of the impact of the COVID-19 pandemic and compulsory social health insurance system on fertility rates: a study of live births in Kazakhstan, 2019-2023.

Introduction: The COVID-19 pandemic triggered global health crises, affecting population health directly through infections and fatalities, and indirectly by increasing the burden of chronic diseases due to disrupted healthcare access and altered lifestyle behaviors. Amidst these challenges, concerns regarding reproductive health and fertility rates have emerged, necessitating an understanding of their implications for policymaking and healthcare planning. Furthermore, Kazakhstan's healthcare landscape underwent significant changes with the reintroduction of compulsory social health insurance system in January 2020, coinciding with the onset of the COVID-19 pandemic. This study aims to assess the impact of the COVID-19 pandemic and compulsory social health insurance system on fertility rates in Kazakhstan by examining live birth data from 2019 to 2024. Methods: Using Interrupted Time Series analysis, we evaluated the effect of the COVID-19 lockdown announcement and compulsory social health insurance system implementation on monthly birth rates, adjusted for the number of women of reproductive age from January 2019 to December 2023. Results: In the final model, the coefficients were as follows: the effect of the COVID-19 lockdown was estimated at 469 (SE = 2600, p = 0.8576); the centering variable was estimated at 318 (SE = 222, p = 0.1573), suggesting no significant trend in monthly birth rates over time; the insurance effect was estimated at 7,050 (SE = 2,530, p < 0.01); and the effect of the number of women of reproductive age was estimated at -0.204 (SE = 0.0831, p = 0.01). Discussion: The implementation of the compulsory social health insurance system, rather than the announcement of the COVID-19 lockdown, has had a significant positive impact on live birth rates in Kazakhstan. However, despite governmental efforts, live birth rates are declining, potentially due to unaddressed health needs of fertile women and economic challenges. Urgent policy-level actions are needed to address gaps in healthcare services and promote reproductive health.

The influence of social, demographic and economic factors on fertility trends in Gulf Cooperation Council countries: A longitudinal time trend analysis-1980-2021.

OBJECTIVES: To analyze the fertility rate trends in the GCC countries and their association with socioeconomic factors so that policymakers may use the study findings for future healthcare plans. METHODS: Total population, crude death rate, life expectancy, literacy rate, human development index (HDI), female employment, unemployment rate, urbanisation, gross domestic product (GDP) per capita and inflation were chosen as possible predictors of TFR trends. The data were collected for the Global Burden of Disease 2021 study and other official databases such as the World Bank, the United Nations Development Program and Our World in Data for the 6 Gulf Cooperation Council (GCC) countries. Mean with standard deviation and percentage change was calculated to assess trends of TFR and all other variables from 1980-2021. RESULTS: The fertility rate declined in all 6 countries in 2021 compared to 1980. The highest decline was found in the United Arab Emirates (75.5%), while the lowest was in Kuwait (60.9%). From 1980-2021, total population, life expectancy, HDI, literacy rate, GDP, urbanisation, and female labor force increased in all GCC countries. The total population, life expectancy, urbanisation, female labor force, GDP and HDI were negatively and significantly correlated with TFR (p<0.01). The literacy rate showed a negative and significant correlation with TFR in Bahrain, Kuwait, Saudi Arabia, and Qatar. CONCLUSION: The TFR is declining in GCC countries. The plausible causes include the inclination towards postponement of marriages and excessive costs of living. These trends and associations need to be evaluated by policymakers so that they identify priority areas for interventions, allocate resources and formulate developmental plans accordingly to ensure strategic progress of the region.

THE IMPACT OF BIRTH WEIGHT ON INFANT MORTALITY IN KAZAKHSTAN.

INTRODUCTION: Recognizing the importance of birth weight is fundamental to addressing public health challenges associated with maternal and child health. Birth weight serves as a critical indicator, offering insights into mortality, stunting, and the development of chronic diseases later in life. This study delves into fertility and infant mortality trends in Kazakhstan, with a specific focus on understanding urban-rural disparities and gender variations in mortality rates. OBJECTIVES: The primary objective of this study is to evaluate the influence of birth weight on infant mortality in Kazakhstan, considering demographic and regional nuances. Through comprehensive analysis, we aim to discern patterns and factors contributing to infant mortality, thereby informing targeted interventions and policies aimed at improving maternal and child health outcomes across the country. MATERIALS AND METHODS: The analysis was conducted using the data provided by the Republican State Enterprise on the PCV of the "Republican Centre for Electronic Health Care" of the Ministry of Health of Kazakhstan. RESULTS: In Kazakhstan, birth rates reached their zenith in 2021 (total 446,491 births). However, this figure experienced a downturn in 2022, declining to 403,893 births. Notably, urban regions consistently reported higher birth rates compared to rural areas. The year 2022 witnessed a decline in birth rates across both urban and rural populations, with decreases of 9.5% and 11.7%, respectively, compared to the previous year. Analysis using linear regression techniques on infant mortality rates spanning from 2017 to 2022 revealed no statistically significant time trend (slope=51.29, correlation coefficient=0.42, p=0.41). Gender-specific disparities in mortality rates were starkly evident, with boys exhibiting higher mortality rates compared to girls across all population subsets. Geographical analysis conducted in 2022 exposed significant divergences in mortality rates across various regions. CONCLUSIONS: The study highlights significant urban-rural disparities and gender differences in birth rates and infant mortality within Kazakhstan. It also confirms the protective effect of higher birth weight on infant mortality. Regional disparities suggest targeted public health interventions are necessary to address these variations effectively.

Analysis of assisted reproductive outcomes for gynecologic cancer survivors: a retrospective study.

OBJECTIVE: To examine the reproductive outcomes of assisted reproductive technology (ART) in gynecologic cancer patients and to assess maternal and neonatal complications. METHODS: Women diagnosed with gynecologic cancer who underwent their first in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment between 2013 and 2021 at Shanghai Ji Ai Genetics and IVF Institute were included in this study. Infertile women without any history of cancer were matched to the cancer group. The primary outcome was the cumulative live birth rate. Baseline and follow-up data were compared between groups using Student's t-tests for normally distributed variables and with Chi-square test for categorical variables. A propensity score-based patient-matching approach was adopted to ensure comparability between individuals with and without specific cancer type. RESULTS: A total of 136 patients with a history of gynecologic cancer and 241 healthy infertile controls were included in this study. Endometrial cancer constituted 50.70% of the cases and cervical cancer constituted 34.60% of the cases. The cancer group exhibited significantly shorter duration of stimulation, lower levels of estradiol, lower number of retrieved oocytes, day-3 embryos, and blastocysts compared to the control group (P < 0.05). The cumulative live birth rate of the gynecologic cancer group was significantly lower than that of the control group (36.10% vs. 60.50%, P < 0.001). Maternal and neonatal complications did not significantly differ between the groups (P > 0.05). The endometrial cancer and cervical cancer groups showed significantly lower cumulative live birth rates than their matched controls (38.60% vs. 64.50%, P = 0.011 and 24.20% vs. 68.60%, P < 0.001, respectively). CONCLUSIONS: These findings highlight the decreased occurrence of pregnancy and live birth in female gynecologic cancer patients undergoing ART, particularly in endometrial cancers and cervical cancers. These findings have important implications for counseling and managing gynecologic cancer patients undergoing ART.

The effect of Chinese herbal medicine on male factor infertility: study protocol for a randomized controlled trial.

Background: The global prevalence of infertility is 9%, with male factors potentially accounting for 40% to 60% of cases. Conventional treatments can be ineffective, invasive, costly, and linked to adverse effects and high risks. Previous studies have shown that, Chinese herbal medicine (CHM) can regulate the hypothalamus-pituitary-testis axis, improve sperm abnormalities and quality, mitigate oxidative stress, and decrease DNA fragmentation index (DFI). Yet, the evidence backing the use of Chinese herbal medicine (CHM) for treating male factor infertility lacks conviction due to study design limitations, and there remains a scarcity of studies on the live birth rate following CHM treatment for male factor infertility. Here, we describe the rationale and design of a randomized waitlist-controlled trial to evaluate the effect of CHM on the live birth rate among males with infertility. Methods: This study is a single-center, randomized, waitlist-controlled study. A total of 250 couples diagnosed with male factor infertility will be enrolled in this study and then randomly allocated into two groups in a 1:1 ratio. Male participants in CHM group (treatment group) will receive CHM once a day for 3 months. Male participants in the waitlist group (control group) will not receive any treatment for 3 months. After 3 months, participants in both groups need to be followed up for another 12 months. The primary outcome will be the live birth rate; secondary outcomes include semen quality parameters, DFI and pregnancy related outcomes. Safety will also be assessed. Discussion: The purpose of this trial is to explore the effects and safety of CHM on the live birth rate among couples dealing with male factor infertility. The outcome of this trial may provide a viable treatment option for male factor infertility. Trial registration: Chinese Clinical Trial Registry: ChiCTR2200064416. Registered on 7 October 2022, https://www.chictr.org.cn.

Pregnancy in girls under 14 years old: Spatial analysis in Brazil, 2011-2021. / Gravidez em meninas menores de 14 anos: análise espacial no Brasil, 2011 a 2021.

The objective was to analyze the spatial distribution of pregnancy in children under 14 years and six months by Brazilian region and municipality and sociodemographic and health characteristics of pregnant women and live births. Ecological study analyzing the Live Birth Information System (SINASC) from 2011 to 2021 in three age groups (< 14 years and six months, 15-19 years, and 20 years and above) by demographic and birth variables. We applied the Global and Local Moran. A total of 127,022 live births to girls aged 10-14 years were identified during the period, most of whom were Black, 21.1% in common-law or married relationships, with a lower proportion of seven prenatal care appointments and enrollment in the first trimester, a higher proportion of low birth weight and low Apgar score, residing in the North and Northeast. The mean live birth rate for 10-to-14-year-old girls was significantly autocorrelated with space, especially in municipalities of the Midwest and North. Pregnancy from 10 to 14 years of age reveals several vulnerabilities suffered by these girls due to pregnancy at an early age, which is more common among Black women, with implications for morbimortality for them and their children and the presumed violence in these cases, including denied access to legal abortion.

O objetivo foi analisar a distribuição espacial da gravidez em menores de 14 anos e seis meses segundo regiões e municípios brasileiros e características sociodemográficas e de saúde das parturientes e nascidos vivos. Estudo ecológico, analisando o Sistema de Informação sobre Nascidos Vivos (SINASC), 2011-2021, em três grupos etários (<14 anos e 6 meses, 15-19 e 20 anos e mais), segundo variáveis demográficas e do parto. Foram aplicados os Índices Global e Local de Moran. No período foram 127.022 nascidos vivos de meninas 10-14 anos, na maioria negras, 21,1% em união estável ou casadas, com menor proporção de 7 consultas de pré-natal e captação no primeiro trimestre, maior proporção de baixo peso ao nascer e baixo índice de Apgar, residentes nas regiões Norte e Nordeste. A taxa média de nascidos vivos de 10-14 anos mostrou autocorrelação significativa com o espaço, especialmente em municípios do Centro-Oeste e Norte. A gravidez de 10 a 14 revela uma sequência de vulnerabilidades sofridas por essas meninas, pela gravidez em idade precoce, maior frequência entre negras, com implicações na morbimortalidade para ela e seus filhos; e pela violência presumida nesses casos, incluindo o acesso negado ao aborto legal.

Efficacy of non-invasive chromosome screening, preimplantation genetic testing for aneuploidy, and morphological grading in selecting embryos of patients with advanced maternal age: a three-armed prospective cohort study.

BACKGROUND: Non-invasive chromosome screening (NICS) and trophectoderm biopsy preimplantation genetic testing for aneuploidy (TE-PGT) were both applied for embryo ploidy detection, However, the cumulative live birth rates (CLBR) of NICS and TE-PGT in older age groups have yet to be reported. This study aimed to ascertain whether NICS and TE-PGT could enhance the cumulative live birth rates among patients of advanced maternal age. METHODS: A total of 384 couples aged 35-40 years were recruited. The patients were assigned to three groups: NICS, TE-PGT, and intracytoplasmic sperm injection (ICSI). All patients received frozen single blastocyst transfer. Patients in the NICS and TE-PGT groups underwent aneuploidy screening. RESULTS: When compared to the ICSI group, the CLBR was significantly higher in the NICS and TE-PGT groups (27.9% vs. 44.9% vs. 51.0%, p = 0.003 for NICS vs. ICSI, p < 0.001 for TE-PGT vs. ICSI). There were no significant differences in the clinical outcomes between the NICS and TE-PGT groups. Adjusting for confounding factors, the NICS and TE-PGT groups still showed a higher CLBR than the ICSI group (adjusted odds ratio (OR) 3.847, 95% confidence interval (CI) 1.939 to 7.634; adjusted OR 3.795, 95% CI 1.981 to 7.270). Additionally, the cumulative pregnancy loss rates of the NICS and TE-PGT groups were significantly lower than that of the ICSI group (adjusted OR 0.277, 95% CI 0.087 to 0.885; adjusted OR 0.182, 95% CI 0.048 to 0.693). There was no significant difference in the birth weights of the three groups (p = 0.108). CONCLUSIONS: In women 35-40 years old, the CLBR can be increased by selecting euploid embryos using NICS and TE-PGT. For elderly women at high risk of embryonic aneuploidy, NICS, characterized by its safety and non-invasive nature, may emerge as an alternative option for preimplantation genetic testing.

Use of hCG for luteal support in natural frozen-thawed blastocyst transfer cycles: a cohort study.

Introduction: In the realm of natural frozen-thawed embryo transfer (FET) cycles, the application of luteal phase support (LPS) is a prevalent practice, primarily due to its beneficial impact on reproductive outcomes. Among the various LPS medications, human chorionic gonadotropin (hCG) is one that exerts its function on both the corpus luteum and the endometrium. Objective: To evaluate the effect of hCG administration as LPS on reproductive outcomes in natural FET cycles. Methods: This study was a retrospective cohort analysis conducted at a tertiary care hospital. It included women who underwent natural FET treatment from January 2018 to December 2022. Participants were divided into the hCG LPS group and the non-hCG LPS group on the basis of whether they used hCG as LPS after blastocyst transfer. The primary outcome was the clinical pregnancy and live birth rates. The secondary outcomes included the early miscarriage rate (before 12th gestational week) and total miscarriage rate. Results: A total of 4762 women were included in the analysis, and 1910 received hCG LPS and 2852 received no hCG LPS (control group). In the general cohort, the clinical pregnancy and live birth rates in the hCG LPS group were significantly lower than those in the control group (63.82% vs 66.41%, aOR 0.872, 95% CI 0.765-0.996, P=0.046; 53.98% vs 57.15%, aOR 0.873, 95% CI 0.766-0.991, P=0.035, respectively). The early miscarriage and total miscarriage rates were similar between the two groups. In a subgroup analysis, in women who received an hCG trigger, there was no significant difference in the clinical pregnancy rate or live birth rate between the two groups. However, in women who ovulated spontaneously, the clinical pregnancy and live birth rates in the hCG LPS group were significantly lower than those in the control group (60.99% vs 67.21%, aOR 0.786, 95% CI 0.652-0.946, P=0.011; 50.56% vs 57.63%, aOR 0.743, 95% CI 0.619-0.878, P=0.001, respectively). Conclusion: Among women undergoing natural cycle frozen-thawed blastocyst transfer, hCG LPS is associated with lower clinical pregnancy and live birth rates. Additionally, the adverse effect of hCG LPS is more pronounced in women who ovulate spontaneously.

Economic evaluation of GnRH-agonist long protocol and GnRH-antagonist protocol in IVT/ICSI among the Chinese population: using pharmacoeconomic models.

OBJECTIVE: This paper uses health economics methods to discuss the cost-effectiveness value of long protocol and antagonist protocol for in vitro fertilisation and embryo transfer (ET) in the Chinese population. DESIGN: Health economic evaluation study. SETTING: The data needed to construct the model for this study were derived from published studies and other secondary sources in China. PARTICIPANTS: No patients participated in the study. MEASURES: The main outcomes were live birth rate (LBR) and cost. From the societal perspective, we considered the direct and indirect costs over the course of the treatment cycles. A cost-effectiveness was measured using the incremental cost-effectiveness ratio and the probability that a protocol has higher net monetary benefit. Sensitivity analysis was carried out to verify the reliability of the simulation results. RESULTS: For the Chinese population, the long protocol resulted in a higher LBR than the antagonist protocol (29.33% vs 20.39%), but at the same time, it was more expensive (ï¿¥29 146.26 (US$4333.17) vs ï¿¥23 343.70 (US$3470.51)), in the case of considering only one fresh ET cycle. It was the same when considering subsequent frozen ET (FET) cycles (51.78% vs 42.81%; ï¿¥30 703.02 (US$4564.62) vs ï¿¥24 740.95 (US$3678.24)). The results of most subgroups were consistent with the results of the basic analysis. However, for certain populations, the long protocol was the inferior protocol (less effective and more expensive). CONCLUSION: For the Chinese population, when the monetary value per live birth was greater than ï¿¥65 420 (US$9726) and ï¿¥66 400 (US$9872), respectively, considering only one fresh cycle and considering subsequent frozen cycles, the long protocol is the preferred protocol. This threshold also varies for women of different ages and ovarian response capacities. For women in POSEIDON (Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number) group 2, group 3 and group 4, antagonist protocol is recommended as the preferred protocol. The results of this study need to be verified by further large-scale randomised controlled trials.

Gender differences in sleep behaviors under China's universal two-child policy.

Since 2016, China has progressively relaxed family planning policies to stimulate birth rates. This paper examines the behavioral health repercussions of China's 2016 universal two-child policy (UTCP) by analyzing sleep pattern data from China Family Panel Studies. Napping is a composite indicator that denotes health outcomes, job quality, and personal well-being. It reveals work conditions and environments to some extent. UTCP may lead to heightened social expectations regarding pregnancy likelihood, and changes in social expectations within the workplace may make work environments less equitable and more stressful for females. Leveraging a difference-in-difference model, this paper explores how napping behaviors among the working-age cohort have responded to the policy shifts. Our analysis reveals a gender discrepancy in response to the policy, specifically, females exhibit a discernible reduction in the likelihood of napping, as well as in the duration of both daytime naps and daily sleep. Conversely, such effects are not significant among males. These results suggest policy consequences extend beyond individuals directly impacted by childbirth or contemplating parenthood. Hence, while promoting fertility is still the government's goal, policymakers are encouraged to consider the broader challenges the female population faces from social and workplace environment factors.

Predicting Future Birth Rates with the Use of an Adaptive Machine Learning Algorithm: A Forecasting Experiment for Scotland.

The total fertility rate is influenced over an extended period of time by shifts in population socioeconomic characteristics and attitudes and values. However, it may be impacted by macroeconomic trends in the short term, although these effects are likely to be minimal when fertility is low. With the objective of forecasting monthly deliveries, this study concentrates on the analysis of registered births in Scotland. Through this approach, we examine the significance of precisely forecasting fertility trends, which can subsequently aid in the anticipation of demand in diverse sectors by allowing policymakers to anticipate changes in population dynamics and customize policies to tackle emerging demographic challenges. Consequently, this has implications for fiscal stability, national economic accounts and the environment. In conducting our analysis, we incorporated non-linear machine learning methods alongside traditional statistical approaches to forecast monthly births in an out-of-sample exercise that occurs one step in advance. The outcomes underscore the efficacy of machine learning in generating precise predictions within this particular domain. In sum, this research will comprehensively demonstrate a cutting-edge model of machine learning that utilizes several attributes to assist in clinical decision-making, predict potential complications during pregnancy and choose the appropriate delivery method, as well as help in medical diagnosis and treatment.

Reconstructing Prospective Intergenerational Educational Mobility in 12 Countries.

In this article, we reconstruct prospective intergenerational educational mobility and explore fertility's role in this process for women born between 1925 and 1950 in 12 European countries. We do so by combining high-quality retrospective data (Generations and Gender Survey) and low-requirement prospective datasets using an inferential method developed and advanced in prior research. Our analysis shows that the negative educational fertility gradient partly compensates for the inequality in prospective mobility rates between lower and higher educated women and is most pronounced in high-inequality contexts. However, fertility's role is small and declining and thus does not account for much of the differences in mobility rates between countries. We also explore the relative importance of sibship size effects in mediating the effect of fertility gradient, finding it negligible. Finally, we explore the correspondence between prospective and retrospective estimates in the reconstruction of prospective mobility rates and suggest why the former, when available, must be preferred.

Decomposing the Drivers of Population Aging: A Research Note.

Population aging is an important and increasingly relevant area of study for demographers. A growing body of research seeks to determine how long-term changes in births, mortality, and migration-the three drivers of any demographic process-have shaped the present aging situation. Using variable-r decomposition and cohort data, this research note presents a formula for the change in the old-age dependency ratio to determine the extent to which relative changes in births, as well as in mortality and migration rates, contribute to aging. This perspective provides a careful and in-depth picture of aging and contributes to the debate concerning whether changes in births or mortality have had the strongest effect on population aging. When applied to Australia, the United States, and several European populations, the decomposition of the old-age dependency ratio shows that aging occurred in all populations and that changes in both births and mortality contributed to this aging. Analysis of these populations demonstrates that although they differed regarding which of these factors contributed more, changes in births prevailed as the more significant factor. In nearly all populations, migration decreased the rate of population aging.

Commentary on van Raalte et al.'s "The Dangers of Drawing Cohort Profiles From Period Data: A Research Note".

van Raalte et al. (2023) alerted demographers to the potential dangers of calculating cohort measures from the "diagonals" of gridded age-period (AP) data. In the case of cohort fertility, however, a minor change to the estimation procedure can mitigate the trend and cohort size biases that the authors identify. With an appropriate algorithm, researchers can estimate cohort fertility indices from AP data quite well.

The Global Adolescent Fertility Decline is Counteracted by Increasing Teen Births in Sub-Saharan Africa.

There is a lack of understanding of the persistence of elevated teen fertility rates in certain regions and countries, in contrast to the significant decline observed in other regions globally. This report considers fertility trends among 15- to 19-year olds in the period 1950-2020 and explores potential driving factors behind the significant shifts that occurred over this period. The countries where teen fertility remains high are those with fast-growing populations, primarily located in sub-Saharan Africa. Countries with higher teen fertility are typically characterized by limited use of modern contraception, lower education levels, and early marriage. Sub-Saharan Africa has emerged as the world region with the most teen births, increasing its proportion of global teen births from 12 percent in 1950 to 47 percent in 2020, a time during which this region's share of the global adolescent (15-19) population grew from 7.5 percent to 19 percent. By 2035, 67 percent of all teen births globally are projected to occur in this region. Consequently, the future number of births to teenage mothers will to a large extent depend on the development in sub-Saharan Africa over the coming decades.