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Frontiers in Endocrinology 2024Studies on the effect of vaccine type and two other vaccines other than inactivated vaccines approved in China on fertilization (IVF) pregnancy outcomes are rare. To...
INTRODUCTION
Studies on the effect of vaccine type and two other vaccines other than inactivated vaccines approved in China on fertilization (IVF) pregnancy outcomes are rare. To complement and confirm the existing findings, this research aimed to investigate whether there are adverse effects of different vaccine types in females and males on reproductive function and clinical pregnancy.
METHODS
This retrospective study enrolled 6,455 fresh embryo transfer cycles at the First Affiliated Hospital of Zhengzhou University between May 1, 2021, and October 31, 2022. The primary outcome is the clinical pregnancy rate (CPR). At the same time, the secondary results are the number of oocytes retrieved, two pronuclei (2PN) rate, blastocyst formation rate, high-quality blastocyst rate, and semen parameters (volume, density, sperm count, forward motility rate, total motility rate, immobility rate, and DNA fragment index (DFI) rate).
RESULTS
In the comparison of ovarian stimulation indicators, no statistically significant differences (P > 0.05) were found in Gn days, endometrial thickness, 2PN rate, metaphase 2 (MII) rate, high-quality embryo rate, and blastocyst formation rate. No significant differences (P>0.05) were found in age, body mass index (BMI), education level, and semen parameters (volume, density, sperm count, forward motility rate, total motility rate, immobility rate, and DFI rate) in these four groups. The multivariate regression model showed that neither the types of vaccines nor the vaccination status of both infertile couples significantly affected clinical pregnancy.
DISCUSSION
The type of vaccine does not appear to have an unfavorable effect on ovarian stimulation, embryo development, semen parameters, and clinical pregnancy.
Topics: Humans; Female; Pregnancy; Male; Retrospective Studies; Adult; Pregnancy Outcome; COVID-19 Vaccines; COVID-19; Pregnancy Rate; Infertility; Fertilization in Vitro; Vaccination; Ovulation Induction; Reproduction; Embryo Transfer; China; SARS-CoV-2
PubMed: 38948529
DOI: 10.3389/fendo.2024.1356938 -
Frontiers in Endocrinology 2024Medullary thyroid cancer (MTC) is a challenging malignancy. The survival outcome of MTC based on AJCC staging system does not render a discriminant classifier among...
BACKGROUND
Medullary thyroid cancer (MTC) is a challenging malignancy. The survival outcome of MTC based on AJCC staging system does not render a discriminant classifier among early stages.
METHODS
3601 MTC patients from 2000 to 2018 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Smooth curve fitting, Cox proportional hazard regression and competing risk analysis were applied.
RESULTS
A linear correlation between age and log RR (relative risk of overall death) was detected. Overlaps were observed between K-M curves representing patients aged 45-50, 50-55, and 55-60. The study cohort was divided into 3 subgroups with 2 age cutoffs set at 45 and 60. Each further advanced age cutoff population resulted in a roughly "5%" increase in MTC-specific death risks and an approximately "3 times" increase in non-MTC-specific death risks.
CONCLUSIONS
The survival outcome disparity across age cutoffs at 45 and 60 for MTC has been well defined.
Topics: Humans; Thyroid Neoplasms; Middle Aged; Male; Female; Carcinoma, Neuroendocrine; Retrospective Studies; Age Factors; SEER Program; Survival Rate; Aged; Prognosis; Adult; Cohort Studies; Follow-Up Studies
PubMed: 38948527
DOI: 10.3389/fendo.2024.1393904 -
Frontiers in Endocrinology 2024Thyroid nodules, increasingly prevalent globally, pose a risk of malignant transformation. Early screening is crucial for management, yet current models focus mainly on...
BACKGROUND
Thyroid nodules, increasingly prevalent globally, pose a risk of malignant transformation. Early screening is crucial for management, yet current models focus mainly on ultrasound features. This study explores machine learning for screening using demographic and biochemical indicators.
METHODS
Analyzing data from 6,102 individuals and 61 variables, we identified 17 key variables to construct models using six machine learning classifiers: Logistic Regression, SVM, Multilayer Perceptron, Random Forest, XGBoost, and LightGBM. Performance was evaluated by accuracy, precision, recall, F1 score, specificity, kappa statistic, and AUC, with internal and external validations assessing generalizability. Shapley values determined feature importance, and Decision Curve Analysis evaluated clinical benefits.
RESULTS
Random Forest showed the highest internal validation accuracy (78.3%) and AUC (89.1%). LightGBM demonstrated robust external validation performance. Key factors included age, gender, and urinary iodine levels, with significant clinical benefits at various thresholds. Clinical benefits were observed across various risk thresholds, particularly in ensemble models.
CONCLUSION
Machine learning, particularly ensemble methods, accurately predicts thyroid nodule presence using demographic and biochemical data. This cost-effective strategy offers valuable insights for thyroid health management, aiding in early detection and potentially improving clinical outcomes. These findings enhance our understanding of the key predictors of thyroid nodules and underscore the potential of machine learning in public health applications for early disease screening and prevention.
Topics: Thyroid Nodule; Humans; Machine Learning; Female; Male; China; Cross-Sectional Studies; Middle Aged; Adult; Early Detection of Cancer; Aged; Mass Screening; Ultrasonography
PubMed: 38948526
DOI: 10.3389/fendo.2024.1385167 -
Frontiers in Endocrinology 2024Increased levels of serum Klotho have been associated with a reduced risk of several cardiovascular diseases (CVD). However, limited studies exist on the association...
BACKGROUND
Increased levels of serum Klotho have been associated with a reduced risk of several cardiovascular diseases (CVD). However, limited studies exist on the association between serum Klotho and mortality in patients with CVD.
METHODS
We collected data from CVD patients in the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2016. We linked NHANES data with the National Death Index to determine the survival status of participants. Univariate and multivariable Cox regression models were used to investigate the relationship between serum Klotho levels and mortality in CVD patients. The relationship between serum Klotho quartiles and mortality in CVD patients was visualized using Kaplan-Meier (KM) curves and restricted cubic spine. Finally, subgroup analyses were used to examine the association between serum Klotho and all-cause mortality in different populations.
RESULTS
1905 patients with CVD were finally enrolled in our study with a mean follow-up of 7.1 years. The average age of the participants was 63.4 years, with 58.40% being male. KM showed that lower Klotho levels were associated with lower survival rates. After adjusting for potential confounders, patients with higher serum Klotho levels had lower all-cause mortality (Q1: 1.00, Q2: 0.58 (0.42-0.80), Q3: 0.69 (0.47-1.01), and Q4:0.64 (0.45-0.92). However, the relationship between serum Klotho levels and cardiovascular mortality was not statistically significant. Dose-response analysis shows a U-shaped relationship between serum Klotho levels and all-cause mortality in patients with CVD (P nonlinear=0.002). Subgroup analysis indicated that participants with a history of hypertension had a higher risk of all-cause mortality in serum Klotho Q4 compared to Q1 (P trend <0.05).
CONCLUSION
The relationship between serum Klotho levels and all-cause mortality in CVD patients exhibits a U-shaped association. The underlying mechanisms of this association need further investigation.
Topics: Humans; Klotho Proteins; Male; Female; Cardiovascular Diseases; Middle Aged; Prospective Studies; Aged; United States; Nutrition Surveys; Glucuronidase; Biomarkers; Cause of Death; Follow-Up Studies; Survival Rate
PubMed: 38948524
DOI: 10.3389/fendo.2024.1405665 -
Frontiers in Endocrinology 2024This study aims to determine whether the live birth rates were similar between GnRH antagonist original reference product Cetrotide and generic Ferpront, in...
OBJECTIVE
This study aims to determine whether the live birth rates were similar between GnRH antagonist original reference product Cetrotide and generic Ferpront, in gonadotropin-releasing hormone (GnRH) antagonist protocol for controlled ovarian stimulation (COS).
METHODS
This retrospective cohort study investigates COS cycles utilizing GnRH antagonist protocols. The research was conducted at a specialized reproductive medicine center within a tertiary care hospital, spanning the period from October 2019 to October 2021. Within this timeframe, a total of 924 cycles were administered utilizing the GnRH antagonist originator, Cetrotide (Group A), whereas 1984 cycles were undertaken using the generic, Ferpront (Group B).
RESULTS
Ovarian reserve markers, including anti-Mullerian hormone, antral follicle number, and basal follicular stimulating hormone, were lower in Group A compared to Group B. Propensity score matching (PSM) was performed to balance these markers between the groups. After PSM, baseline clinical features were similar, except for a slightly longer infertile duration in Group A versus Group B (4.43 ± 2.92 years vs. 4.14 ± 2.84 years, 0.029). The duration of GnRH antagonist usage was slightly longer in Group B than in Group A (6.02 ± 1.41 vs. 5.71 ± 1.48 days, 0.001). Group B had a slightly lower number of retrieved oocytes compared to Group A (14.17 ± 7.30 vs. 14.96 ± 7.75, 0.024). However, comparable numbers of usable embryos on day 3 and good-quality embryos were found between the groups. Reproductive outcomes, including biochemical pregnancy loss, clinical pregnancy, miscarriage, and live birth rate, did not differ significantly between the groups. Multivariate logistic regression analyses suggested that the type of GnRH antagonist did not independently impact the number of oocytes retrieved, usable embryos, good-quality embryos, moderate to severe OHSS rate, clinical pregnancy, miscarriage, or live birth rate.
CONCLUSION
The retrospective analysis revealed no clinically significant differences in reproductive outcomes between Cetrotide and Ferpront when used in women undergoing their first and second COS cycles utilizing the GnRH antagonist protocol.
Topics: Humans; Gonadotropin-Releasing Hormone; Female; Retrospective Studies; Ovulation Induction; Pregnancy; Adult; Hormone Antagonists; Pregnancy Rate; Birth Rate; Drugs, Generic; Ovarian Reserve
PubMed: 38948522
DOI: 10.3389/fendo.2024.1358278 -
Frontiers in Endocrinology 2024Chest computed tomography (CT) is used to determine the severity of COVID-19 pneumonia, and pneumonia is associated with hyponatremia. This study aims to explore the...
PURPOSE
Chest computed tomography (CT) is used to determine the severity of COVID-19 pneumonia, and pneumonia is associated with hyponatremia. This study aims to explore the predictive value of the semi-quantitative CT visual score for hyponatremia in patients with COVID-19 to provide a reference for clinical practice.
METHODS
In this cross-sectional study, 343 patients with RT-PCR confirmed COVID-19, all patients underwent CT, and the severity of lung lesions was scored by radiologists using the semi-quantitative CT visual score. The risk factors of hyponatremia in COVID-19 patients were analyzed and combined with laboratory tests. The thyroid function changes caused by SARS-CoV-2 infection and their interaction with hyponatremia were also analyzed.
RESULTS
In patients with SARS-CoV-2 infection, the total severity score (TSS) of hyponatremia was higher [M(range), 3.5(2.5-5.5) vs 3.0(2.0-4.5) scores, =0.001], implying that patients with hyponatremia had more severe lung lesions. The risk factors of hyponatremia in the multivariate regression model included age, vomiting, neutrophils, platelet, and total severity score. SARS-CoV-2 infection impacted thyroid function, and patients with hyponatremia showed a lower free triiodothyronine (3.1 ± 0.9 vs 3.7 ± 0.9, =0.001) and thyroid stimulating hormone level [1.4(0.8-2.4) vs 2.2(1.2-3.4), =0.038].
CONCLUSION
Semi-quantitative CT score can be used as a risk factor for hyponatremia in patients with COVID-19. There is a weak positive correlation between serum sodium and free triiodothyronine in patients with SARS-CoV-2 infection.
Topics: Humans; COVID-19; Hyponatremia; Cross-Sectional Studies; Male; Female; Middle Aged; Risk Factors; Tomography, X-Ray Computed; Aged; SARS-CoV-2; Severity of Illness Index; Adult; Pneumonia, Viral; Coronavirus Infections; Pandemics; Betacoronavirus; Aged, 80 and over
PubMed: 38948513
DOI: 10.3389/fendo.2024.1342204 -
Frontiers in Endocrinology 2024To identify the relationship between thyroid autoimmunity and antinuclear antibody (ANA) prevalence in Chinese pregnant women.
OBJECTIVE
To identify the relationship between thyroid autoimmunity and antinuclear antibody (ANA) prevalence in Chinese pregnant women.
METHODS
The study involved 1923 first-trimester women who were measured for thyroid stimulating hormone (TSH) level, thyroid autoantibodies (thyroperoxidase antibody [TPOAb] and thyroglobulin antibody [TgAb]) and ANA titer. Social demographic data were collected through standardized questionnaires.
RESULTS
In this study, 23.3% of pregnant women tested positive for TPOAb and 9.9% tested positive for TgAb. Women with a positive ANA were more likely to be TPOAb-positive or TgAb-positive than women with a negative ANA (adjusted odds ratio [AOR] 1.96, 95% confidence interval [CI] 1.47-2.62 for TPOAb [+]; AOR 3.12, 95% CI 2.18-4.48 for TgAb[+]). In addition, ANA titers were closely associated with thyroid autoimmunity. Women with an ANA titer of >1:320 had a significant higher risk of being TPOAb positive or TgAb positive (AOR 4.49, 95% CI 1.48-13.66 for TPOAb [+]; AOR 5.51, 95% CI 1.65-18.49 for TgAb [+]). The higher the ANA titer, the greater the risk of developing thyroid autoimmunity, especially for those with a high ANA titer.
CONCLUSIONS
ANA positivity is strongly correlated with thyroid autoimmunity. Further study is warranted to clarify the causal relationship between thyroid autoimmunity and ANA in pregnant women.This research is essential to evaluate and predict the risk of co-existing autoimmune disorders,leading to improved care for pregnancy and neonatal health.
Topics: Humans; Female; Pregnancy; Cross-Sectional Studies; Adult; China; Antibodies, Antinuclear; Autoimmunity; Prevalence; Autoantibodies; Pregnancy Complications; Young Adult; Thyroid Gland
PubMed: 38948512
DOI: 10.3389/fendo.2024.1403917 -
F1000Research 2023Currently there are 1.3 billion adolescents worldwide, which makes up 16% of the world population. Over 20% of adolescents around the world are thought to have...
Currently there are 1.3 billion adolescents worldwide, which makes up 16% of the world population. Over 20% of adolescents around the world are thought to have behavioural or mental health issues. Addressing mental health issues is very important for the promotion of positive health in adolescents. The objective of our study was to estimate the prevalence of depression, anxiety, and stress among adolescents in urban and rural areas of Shivamogga. A cross-sectional study was conducted among 350 adolescents aged 16 to 19 years each from urban and rural areas of Shivamogga. Depression, anxiety and stress were found to be 23.1%, 29.4% and 26.6% in urban areas and 19.1%, 24% and 21.1% in rural areas respectively. About a quarter of the adolescent population suffers from depression anxiety and stress. Adopting and implementing better education and health policies are necessary to enhance adolescent mental health.
Topics: Humans; Adolescent; Male; Depression; Female; Rural Population; Stress, Psychological; Anxiety; Urban Population; Young Adult; Cross-Sectional Studies; India; Prevalence
PubMed: 38948506
DOI: 10.12688/f1000research.139603.2 -
Data in Brief Aug 2024This dataset provides a collection of Continuous Glucose Monitoring (CGM) data, insulin dose administration, meal ingestion counted in carbohydrate grams, steps,...
This dataset provides a collection of Continuous Glucose Monitoring (CGM) data, insulin dose administration, meal ingestion counted in carbohydrate grams, steps, calories burned, heart rate, and sleep quality and quantity assessment ac- quired from 25 people with type 1 diabetes mellitus (T1DM). CGM data was acquired by FreeStyle Libre 2 CGMs, and Fitbit Ionic smartwatches were used to obtain steps, calories, heart rate, and sleep data for at least 14 days. This dataset could be utilized to obtain glucose prediction models, hypoglycemia and hyperglycemia prediction models, and research on the relationships among sleep, CGM values, and the rest of the mentioned variables. This dataset could be used directly from the preprocessed version or customized from raw data. The data set has been used previously with different machine learning algorithms to predict glucose values, hypo, and hyperglycemia and to analyze influences among the features and the quality and quantity of sleep in people with T1DM.
PubMed: 38948410
DOI: 10.1016/j.dib.2024.110559 -
Data in Brief Aug 2024The dataset described Vietnamese university lecturers' teaching and was constructed using elements of the TPACK model. According to the model of Mishra and Koehler [1],...
The dataset described Vietnamese university lecturers' teaching and was constructed using elements of the TPACK model. According to the model of Mishra and Koehler [1], the questionnaire was developed. It was delivered through online platforms. The data collection period was three weeks, from February 6 to February 24, 2024. The survey was conducted using the snowball sampling method, with 503 participants. The article analyzed the remaining 461 records after excluding 41 invalid ones. The dataset was referenced in the Mendeley Data repository [10]. University lecturers could use the data set to enhance their personal professional development. In addition, the dataset could assist higher education institutions in formulating plans and training programs, instruct teaching staff, and assist educational managers and policymakers in formulating policies that encourage technology integration in teaching, thereby enhancing the quality of education.
PubMed: 38948407
DOI: 10.1016/j.dib.2024.110551