Exposición a temperaturas extremas y su efecto en la gestación en un departamento de Colombia / Exposure to extreme temperatures and its effect on pregnancy in a department of Colombia

Introducción: Diversas investigaciones han establecido la relación entre temperatura y duración del embarazo, la exposición a temperaturas altas durante el embarazo plantea interrogantes en especial el papel que esta juega frente a los partos prematuros y partos de bajo peso, es indispensable determinar si las temperaturas altas o bajas tienen un comportamiento protector o de riesgo sobre el feto durante la gestación en regiones tropicales. Objetivo: describir la relación entre la exposición a temperaturas altas y bajas durante el embarazo y su efecto en la edad gestacional y peso al momento del parto en los recién nacidos del departamento del Guaviare-Colombia. Metodología: Estudio tipo observacional, analítico, retrospectivo de corte transversal que busco determinar la relación entre exposición a temperaturas altas y bajas durante el embarazo y su efecto en la edad gestacional y peso al momento del parto en los recién nacidos, el universo estuvo conformado por 10.137 nacidos vivos, de los cuales 9.932 cumplieron los criterios de inclusión. Se determinó Odds Ratio para estimar la asociación entre las variables. Resultados: Dentro de la semana de retraso 3 el estar expuesto a temperaturas máximas percentil 90 es un factor protector para la ganancia ponderal de peso OR < 1, la exposición a temperaturas mínimas percentil 10 se asoció como factor protector para el parto prematuro en la semana de retraso 1 y 2 OR < 1.Conclusión: A pesar del beneficio de las altas y bajas temperaturas durante el embarazo en la ganancia ponderal de peso y disminución del parto prematuro, es recomendable prevenir la exposición a temperaturas extremas durante el periodo de gestación[AU]

Introduction: Various investigations have established the relationship between temperature and duration of pregnancy. Exposure to high temperatures during pregnancy raises questions, especially the role it plays in premature births and low-weight births. It is essential to determine whether high temperatures or low have a protective or risky behavior on the fetus during pregnancy in tropical regions.Objective: to describe the relationship between exposure to high and low temperatures during pregnancy and its effect on gestational age and weight at the time of delivery in newborns in the department of Guaviare-Colombia.Methodology:Observational, analytical, retrospective cross-sectional study that sought to determine the relationship between exposure to high and low temperatures during pregnancy and its effect on gestational age and weight at the time of delivery in newborns. The universe was made up of 10,137 births. alive, of which 9,932 met the inclusion criteria. Odds Ratio was determined to estimate the association between the variables.Results:Within the 3rd week of delay, being exposed to maximum temperatures at the 90th percentile is a protective factor for weight gain OR < 1, exposure to minimum temperatures at the 10th percentile was associated as a protective factor for premature birth in the week. of delay 1 and 2 OR < 1. Conclusion: Despite the benefit of high and low temperatures during pregnancy in weight gain and reduction in premature birth, it is advisable to prevent exposure to extreme temperatures during the gestation period[AU]

Introdução: Várias investigações estabeleceram a relação entre temperatura e duração da gravidez. A exposição a altas temperaturas durante a gravidez levanta questões, especialmente o papel que desempenha nos partos prematuros e nos nascimentos de baixo peso. É essencial determinar se as temperaturas altas ou baixas têm um comportamento protetor ou de risco para o feto durante a gravidez em regiões tropicais. Objetivo:descrever a relação entre a exposição a altas e baixas temperaturas durante a gravidez e seu efeito na idade gestacional e no peso no momento do parto em recém-nascidos no departamento de Guaviare-Colômbia. Metodologia: Estudo observacional, analítico, retrospectivo e transversal que buscou determinar a relação entre a exposição a altas e baixas temperaturas durante a gravidez e seu efeito na idade gestacional e no peso no momento do parto em recém-nascidos. O universo foi composto por 10.137 nascimentos. vivos, dos quais 9.932 preencheram os critérios de inclusão. O Odds Ratio foi determinado para estimar a associação entre as variáveis. Resultados:Na 3ª semana de atraso, a exposição a temperaturas máximas no percentil 90 é fator de proteção para ganho de peso OR < 1, a exposição a temperaturas mínimas no percentil 10 foi associada como fator de proteção para parto prematuro na semana. de atraso 1 e 2 OR < 1.Conclusão:Apesar do benefício das altas e baixas temperaturas durante a gravidez no ganho de peso e redução do parto prematuro, é aconselhável evitar a exposição a temperaturas extremas durante o período de gestação[AU]

Red and green defocus curves and duochrome test in different age groups / Curvas de desenfoque rojo y verde y prueba de duocromo en diferentes grupos de edad

Purpose: To compare the eye defocus curves (DCs) obtained with stimuli on red, green, and white backgrounds and to investigate the applicability of the duochrome test (DT) in different age groups. Methods: 12 elderly (ELD: 59.3 ± 3.9 years) and 8 young (YG: 22.1 ± 1.1 years) subjects were recruited. An optometric assessment with the DT was carried out to obtain the subjective refraction at distance. DCs at distance on green, white, and red backgrounds were measured and the following parameters were deduced: dioptric difference between red-green, green-white, red-white focal positions (minima of the DCs), best corrected visual acuity (BCVA), and widths of the DCs for red, green, and white. Results: The DC difference between the green-white focal positions (mean ± standard deviation) was -0.12±0.17 diopters (D) (ELD, p = 0.012) and -0.11±0.12 D (YG, p = 0.039), while the red-white difference was not statistically significant. The DC red-green difference was 0.20±0.16 D (ELD, p = 0.002) and 0.18±0.18 D (YG, p = 0.008). The ELD BCVA with green background was significantly worse than BCVA with red (p = 0.007) and white (p = 0.007). The mean value of the DC's width in ELD for green (1.01±0.36 D) was higher than for red (0.77±0.21 D) and for white (0.84±0.35 D), but with no statistical significance. Conclusion: Both age groups showed a slight focusing preference for red when using white light. Moreover, ELD showed a worse BCVA with a green compared to a red background. Despite these results deduced by DC analyses, these aspects do not compromise the possibility of using the DT in clinical practice both in the young and in the elderly. Furthermore, the difference of about 0.20 D between red-green DC in both groups confirms the clinical appropriateness of the widespread use of 0.25 D step as the standard minimum difference in power between correcting lenses.(AU)

Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study.

PURPOSE: In pediatric medicine, precise estimation of bone age is essential for skeletal maturity evaluation, growth disorder diagnosis, and therapeutic intervention planning. Conventional techniques for determining bone age depend on radiologists' subjective judgments, which may lead to non-negligible differences in the estimated bone age. This study proposes a deep learning-based model utilizing a fully connected convolutional neural network(CNN) to predict bone age from left-hand radiographs. METHODS: The data set used in this study, consisting of 473 patients, was retrospectively retrieved from the PACS (Picture Achieving and Communication System) of a single institution. We developed a fully connected CNN consisting of four convolutional blocks, three fully connected layers, and a single neuron as output. The model was trained and validated on 80% of the data using the mean-squared error as a cost function to minimize the difference between the predicted and reference bone age values through the Adam optimization algorithm. Data augmentation was applied to the training and validation sets yielded in doubling the data samples. The performance of the trained model was evaluated on a test data set (20%) using various metrics including, the mean absolute error (MAE), median absolute error (MedAE), root-mean-squared error (RMSE), and mean absolute percentage error (MAPE). The code of the developed model for predicting the bone age in this study is available publicly on GitHub at https://github.com/afiosman/deep-learning-based-bone-age-estimation . RESULTS: Experimental results demonstrate the sound capabilities of our model in predicting the bone age on the left-hand radiographs as in the majority of the cases, the predicted bone ages and reference bone ages are nearly close to each other with a calculated MAE of 2.3 [1.9, 2.7; 0.95 confidence level] years, MedAE of 2.1 years, RMAE of 3.0 [1.5, 4.5; 0.95 confidence level] years, and MAPE of 0.29 (29%) on the test data set. CONCLUSION: These findings highlight the usability of estimating the bone age from left-hand radiographs, helping radiologists to verify their own results considering the margin of error on the model. The performance of our proposed model could be improved with additional refining and validation.

Treatment of neovascular age-related macular degeneration with anti-vascular endothelial growth factor drugs: progress from mechanisms to clinical applications.

Neovascular age-related macular degeneration (nARMD) is an important cause of visual impairment and blindness in the elderly, with choroidal neovascularization in the macula as the main pathological feature. The onset of nARMD is closely related to factors including age, oxidative stress, and lipid metabolism. Vascular endothelial growth factor (VEGF) is an important factor contributing to nARMD as well as choroidal neovascularization and retinal leakage formation. At present, anti-VEGF therapy is the only treatment that improves vision and halts disease progression in most patients, making anti-VEGF drugs a landmark development for nARMD treatment. Although intravitreal injection of anti-VEGF drugs has become the first-line treatment for nARMD, this treatment has many shortcomings including repeated injections, poor or no response in some patients, and complications such as retinal fibrosis. As a result, several new anti-VEGF drugs are being developed. This review provides a discussion of these new anti-VEGF drugs for the treatment of nARMD.

Advancing early onset colorectal cancer research: research advocacy, health disparities, and scientific imperatives.

Early onset colorectal cancer (EOCRC) emerged as the fourth foremost contributor to cancer-related mortality among both genders in the late 1990s. Presently, EOCRC (<50) ranks as the leading cause of cancer mortality in men and the second leading cause in women within the United States. Similar trends are now also evident globally, particularly in developed countries. Furthermore, there is strong evidence confirming that health disparities persist in the diagnosis and treatment of EOCRC, with signs indicating that these gaps may worsen in specific cases. These alarming trends highlight the critical need for research to inform evidence-based interventions to reduce the burden of EOCRC globally. Fight Colorectal Cancer (Fight CRC) is the leading patient advocacy group in the United States providing information on colon and rectal cancer research, prevention, treatment, and policy. It is the opinion of Fight CRC that an international, coordinated effort with the medical, research, scientific, advocacy, industry and funding community is needed to advance impactful research. Fight CRC, in partnership with José Perea, MD, PhD, of the Institute of Biomedical Research of Salamanca (IBSAL) in Spain, and partners, are working together to address this global phenomenon and are presenting a multi-faceted research approach to move the field forward.

Age-specific impact of comorbidity on postoperative outcomes in older patients with colorectal cancer.

INTRODUCTION: Age and comorbidity are considered the strongest predictors for adverse events after colorectal cancer (CRC) surgery. We aimed to study the interaction of age and comorbidity and to gain better insight in options to improve care for the growing group of older patients. MATERIALS AND METHODS: We included all patients ≥70 years undergoing elective surgery for non-metastatic CRC between 2011 and 2019 in the Netherlands. Baseline characteristics, surgical and non-surgical complications, readmission, and short-term mortality were collected from the Dutch Colorectal Audit (DCRA). The cohort was stratified by 70-79, 80-89, and ≥ 90 years. Comorbidity prevalence and postoperative outcomes were determined per age group. We analyzed the interaction (age-group*comorbidity) with all outcomes using multivariate logistic regression analysis. Age-stratified analysis was indicated if the interaction was significant. RESULTS: We included 25,727 patients of 70-79 years, 12,198 patients of 80-89 years, and 713 of ≥90 years. Non-surgical complications and mortality increased with older age, while surgical complications significantly decreased. However, the association of a Charlson Comorbidity Index (CCI) score ≥ 3, cardiovascular, and cardiopulmonary disease with adverse postoperative outcome decreased with older age. For example, the odds ratio (OR) of a CCI score ≥ 3 for non-surgical complications was 1.79 (confidence interval [CI] 95% 1.66-1.94), 1.50 (CI 95% 1.36-1.65), and 1.21 (CI 95% 0.80-1.81) for, respectively, 70-79, 80-89, and ≥ 90 years. DISCUSSION: The rate of non-surgical complications after CRC surgery increased with older age, although older age itself became less associated with comorbidity. Perhaps risk assessment in the oldest patients should shift towards other predictors, such as frailty.

Midwifery Students' Experiences of Bias in the Clinical Setting: Prevalence, Types, and Impact.

INTRODUCTION: Exposure to bias in clinical learning environments may undermine students' confidence, cause emotional harm, impede learning, and potentially delay graduation. However, little is known about the prevalence of bias experienced by midwifery students in the United States. This cross-sectional, descriptive study aimed to quantify clinical midwifery students' experiences of bias based on 7 self-identified characteristics (gender identity, race or ethnicity, body size, age, sexual orientation, religion, and occupational background). Additionally, this research explored the impact of bias on student well-being, learning, and professional commitment. METHODS: The survey consisted of 39 items addressing (1) prevalence and types of bias, (2) emotional impact and influence on clinical learning, (3) ways students coped, (4) whether anyone spoke up at the time bias occurred, (5) whether students reported bias to faculty, and (6) impact of bias on commitment to midwifery. The survey was distributed to midwifery students and recent graduates in 2022 via American College of Nurse-Midwives email discussion lists and social media. Participants were eligible if they were in a clinical rotation in an Accreditation Commission for Midwifery Education-accredited midwifery program between 2019 and 2022. RESULTS: Surveys were returned by 383 participants, with 301 meeting inclusion criteria. Most participants (66.5%) reported personally experiencing or witnessing bias against at least 1 of 7 personal characteristics. The most commonly reported biases were related to gender, occupational background, age, and race or ethnicity. Only half of the participants reported these occurrences to someone with academic authority, and nearly a third considered withdrawing from their educational programs. DISCUSSION: In this study bias was common and significantly impacted students. These results underscore the need for creative and bold interventions at personal, educational, and institutional levels to prevent and mitigate bias. Safeguarding clinical learning environments will enable students to thrive, graduate with confidence and competence, and thereby contribute to the diversification and strengthening of the midwifery profession.

Third-Trimester Ultrasound Diagnosis of Large for Gestational Age and Risk of Cesarean Delivery.

OBJECTIVE: Determine if knowledge of a third-trimester ultrasound diagnosis of large for gestational age (LGA) independently increases the risk of cesarean delivery (CD). STUDY DESIGN: Historical cohort comparing CD rate among patients diagnosed with an LGA fetus on a clinically indicated ultrasound from January 2017 to July 2021 with those without an LGA diagnosis at 34 weeks or later. LGA was defined as an ultrasound-estimated fetal weight greater than or equal to the 90th percentile for the gestational age. Univariate analysis was performed to identify significant confounding variables and was utilized as covariates for binary regression with CD rate as the primary outcome, and adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated. Nulliparous term singleton vertex (NTSV) and multiparous CD rates were also compared. RESULTS: There were 447 patients diagnosed with an LGA fetus and 1971 patients without an LGA diagnosis on third-trimester ultrasound. The positive predictive value of LGA diagnosis was 50.1% and the false positive rate was 10.6%. Patients with a diagnosis of LGA had higher AOR of CD (OR 2.11, 95% CI 1.56-2.83), and higher AOR of NTSV CD (OR 1.88, 95% CI 1.14-3.13) compared with those without an LGA diagnosis. There was no difference in the rates of non-medically indicated CD, multiparous primary CD, and attempted and successful TOLAC. CONCLUSION: Our results suggest third-trimester ultrasound diagnosis of LGA independently increases odds of CD, specifically among nulliparous patients, and the potential bias may be one factor contributing to excessive CDs and NTSV CDs.

Does atenolol use during pregnancy cause small for gestational age neonates? A meta-analysis.

OBJECTIVES: Atenolol is a commonly used beta bloscker in non-pregnant women. Many providers are hesitant in prescribing atenolol in pregnancy because of a possible association with poor fetal growth. We aimed to assess the association between atenolol and the occurrence of small for gestational age neonates compared to other beta blockers, as described in the existing literature. METHODS: We used the meta-analytic method to generate a forest plot for risk ratios (RR) of small for gestational age in patients who used atenolol vs. other beta blockers. Statistical heterogeneity was assessed with the I2 statistic. RESULTS: Two studies were included, with a resultant RR of 1.94 [95 % confidence interval (CI) 1.60; 2.35]. A study by Duan et al. in 2018 noted the following rate of small for gestational age for each beta blocker use: 112/638 atenolol, 590/3,357 labetalol, 35/324 metoprolol, and 50/489 propranolol. A study by Tanaka et al. in 2016 noted the following rate of small for gestational age: 8/22 for propranolol, 2/12 for metoprolol, 2/6 for atenolol, 0/5 for bisoprolol. Heterogeneity (I2) was 0 %. CONCLUSIONS: Our results suggested an elevated risk of small for gestational age associated with atenolol use in comparison to other beta blockers, specifically labetalol, propranolol, bisoprolol, and metoprolol.

Cut-off value of glycated hemoglobin A1c for detecting diabetic retinopathy in the Chinese population.

BACKGROUND: Glycated hemoglobin A1c (HbA1c) is considered the most suitable for diabetes mellitus diagnosis due to its accuracy and convenience. However, the effect of HbA1c on diabetic retinopathy (DR) in the Han and Korean populations in Jilin, China, remains inconclusive. AIM: To determine the best cut-off of HbA1c for diagnosing DR among the Chinese. METHODS: This cross-sectional study included 1933 participants from the Yanbian area of Jilin Province, China. Trained investigators employed a questionnaire-based survey, physical examination, laboratory tests, and fundus photography for the investigation. The best cut-off value for HbA1c was established via the receiver operating characteristic curve. The factors associated with HbA1c-associated risk factors were determined via linear regression. RESULTS: The analysis included 887 eligible Chinese Han and Korean participants, 591 of whom were assigned randomly to the training set and 296 to the validation set. The prevalence of DR was 3.27% in the total population. HbA1c of 6.2% was the best cut-off value in the training set, while it was 5.9% in the validation set. In both Chinese Han and Korean populations, an HbA1c level of 6.2% was the best cut-off value. The optimal cut-off values of fasting blood glucose (FBG) ≥ 7 mmol/L and < 7 mmol/L were 8.1% and 6.2% respectively in Han populations, while those in Korean populations were 6.9% and 5.3%, respectively. Age, body mass index, and FBG were determined as the risk factors impacting HbA1c levels. CONCLUSION: HbA1c may serve as a useful diagnostic indicator for DR. An HbA1c level of 6.2% may be an appropriate cut-off value for DR detection in the Chinese population.

A Cross-Sectional Study of Mental Illnesses Among Infertile Women in Saudi Arabia.

BACKGROUND: Infertility is a global issue and carries significant mental health implications. Data on mental health among infertile women in Saudi Arabia are limited. OBJECTIVE: This study aimed to assess the prevalence and severity of depression, anxiety, and stress among infertile women in Saudi Arabia. METHODS: This analytical cross-sectional study included women of reproductive age visiting governmental hospitals in Jeddah, Saudi Arabia. The participants were asked to fill out a pre-structured questionnaire, which included the Depression, Anxiety, and Stress Scale (DASS-21) to assess their mental health status. Data analysis was conducted using IBM SPSS Statistics, Version 29.0 (released 2023, IBM Corp., Armonk, NY). The three outcome variables derived from the DASS-21 were categorized into five distinct groups for descriptive purposes. RESULTS: In this study, infertile women had significantly higher median scores for depression (18), anxiety (15), and stress (20) compared to fertile women who had median scores of 8, 8, and 10 for depression, anxiety, and stress, respectively. The differences between these two groups were statistically significant (p-value < 0.001). Furthermore, employed infertile women reported higher median scores for depression (87), anxiety (84.5), and stress (84.5) compared to unemployed women. In addition, infertile women with a monthly income of 10,001-20,000 SAR had notably higher median scores for depression (89.56), anxiety (90.22), and stress (89.94) compared to other income groups. These differences were statistically significant (p-values < 0.05). CONCLUSION: Infertility significantly contributes to mental health issues among women in Saudi Arabia. The findings highlight the need for targeted psychological interventions alongside infertility treatment to enhance the quality of life of these women.

Slot Blot Analysis of Intracellular Glyceraldehyde-Derived Advanced Glycation End Products Using a Novel Lysis Buffer and Polyvinylidene Difluoride Membrane.

Advanced glycation end products (AGEs) are formed through the reaction/modification of proteins by saccharides (e.g., glucose and fructose) and their intermediate/non-enzymatic products [e.g., methylglyoxal and glyceraldehyde (GA)]. In 2017, Dr. Takanobu Takata et al. developed the novel slot blot method to quantify intracellular GA-derived AGEs (GA-AGEs). Although the original method required nitrocellulose membranes, we hypothesized that the modified proteins contained in the AGEs may be effectively probed on polyvinylidene difluoride (PVDF) membranes. Because commercial lysis buffers are unsuitable for this purpose, Dr. Takata developed the slot blot method using an in-house-prepared lysis buffer containing 2-amino-2-hydromethyl-1,3-propanediol (Tris), urea, thiourea, and 3-[(3-cholamidopropyl)-dimethylammonio]-1-propanesulfonate (CHAPS) that effectively probes AGEs onto PVDF membranes. The slot blot method also entails the calculation of Tris, urea, thiourea, and CHAPS concentrations, as well as protein and mass to be probed onto the PVDF membranes. GA-AGE-modified bovine serum albumin (BSA, GA-AGEs-BSA) is used to draw a standard curve and perform neutralization against a non-specific combination of anti-GA-AGEs antibodies, thereby enabling the quantification of GA-AGEs in cell lysates. This paper presents the detailed protocol for slot blot analysis of intracellular GA-AGE levels in C2C12 cells. Key features • This protocol leverages the idea that advanced glycation end products are modified proteins. • The lysis buffer containing Tris, urea, thiourea, and CHAPS enables probing proteins onto PVDF membranes. • Intracellular GA-AGE levels may be quantified for some cell types using polyclonal anti-GA-AGE antibodies and standard GA-AGE-modified BSA. • The lysis buffer may be simultaneously prepared with the cell lysate. • There is no limit to the type of cultured cells used in the preparation of cell lysate.

The global burden of cardiovascular disease attributable to diet high in sugar-sweetened beverages among people aged 60 years and older: an analysis for the global burden of disease study 2019.

Objectives: This study aimed to quantify the global cardiovascular disease (CVD) burden attributable to diet high in sugar-sweetened beverages (SSB) among adults aged 60 years and older using data from the Global Burden of Disease (GBD) Study 2019. Methods: We extracted data on CVD mortality, disability-adjusted life-years (DALYs), and risk-factor exposures from the GBD 2019 study for people aged 60 and older. Age-period-cohort models were used to estimate the overall annual percentage change in mortality and DALY rate (net drift, % per year), mortality and DALY rate for each age group from 1990 to 2019 (local drift, % per year), longitudinal age-specific rate corrected for period bias (age effect), and mortality and Daly rate for each age group from 1990 to 2019 (local drift, % per year). And period/cohort relative risk (period/cohort effect). Results: Between 1990 and 2019, global age-standardized CVD mortality (ASMR) and disability-adjusted life years (DALY) rates attributable to high SSB intake decreased, with larger reductions in high-SDI regions. ASMR declined from 19.5 to 13 per 100,000 (estimated annual percentage change (EAPC): -1.46%) and ASDR declined from 345.8 to 220.6 per 100,000 (EAPC: -1.66%). Age-period-cohort analysis showed CVD deaths and DALYs increased exponentially with age, peaking at 85-89 years. Period effects indicated declining CVD mortality and DALY rates since 1999, especially in higher-SDI regions. Cohort effects demonstrated consistent risk declines across successive generations born between 1900 and 1959. Predictions suggest continuing decreases through 2045 globally, but slower declines in lower-SDI regions. Conclusion: In conclusion, this comprehensive assessment of global CVD burden among older adults attributable to high SSB intake highlights major achievements but also persistent areas needing attention. Favorable declining mortality and DALY rate trends reflect substantial progress in CVD control amid population growth and aging.

Age Influence on Total Ankle Arthroplasty Outcomes: A Systematic Review.

Total ankle arthroplasty has gained popularity as advancing technology has resulted in higher survivorship and lower complication rates. In the past, total ankle replacement candidates have been reserved for patients greater than 50 years old with low physical demands and minimal deformity. However, with newer designs, surgeons have begun to expand their patient inclusion criteria. The purpose of this study was to analyze current literature comparing patient outcomes among total ankle replacement patients over and under age 50. A systematic review of the literature was performed comparing the impact of age to total ankle replacement outcomes. 159 articles were reviewed. Seven studies met our inclusion criteria and therefore were included in the synthesis. No statistically significant difference in outcomes was determined for the younger and older age groups in regard to reoperation, complications, and implant survivorship (p = 0.412, 0.955, 0.155, respectively). However, the statistical model is underpowered given the limited number of studies. While the findings of this study conclude that total ankle replacement outcomes are not significantly different among older and younger age groups, further research in this area is needed.

Cord blood vitamin E and lipids in infants born small for gestational age.

Vitamin E is associated with the regulation of lipid metabolism. Our previous study revealed an inverse relationship between birth weight and cord blood vitamin E levels, suggesting a potential link between vitamin E and fetal growth. The aim of this study was to determine the association between vitamin E with fetal growth and lipids. In this investigation, a study involving 146 mother-infant pairs was performed. Cord plasma concentrations of vitamin E and lipids were measured. Our findings showed that cord plasma vitamin E levels were elevated in small for gestational age (SGA) infants, and higher vitamin E levels were associated with an increased risk of SGA (OR = 2.239, 95% CI 1.208, 4.742). Additionally, among lipid levels, higher cord plasma triglyceride (TG) levels were associated with increased risks of SGA (OR = 97.020, 95% CI 5.137, 1832.305), whereas after adjusting for confounding factors, the risk became no longer statistically significant. We also found a positive correlation between cord blood vitamin E concentrations and lipid levels. CONCLUSION:  elevated cord blood vitamin E concentrations may be associated with a higher risk of SGA and are positively correlated with lipid levels, suggesting a potential role for vitamin E in fetal lipid metabolism. WHAT IS KNOWN: • Vitamin E is associated with the regulation of lipid metabolism. • Vitamin E is inversely related to birth weight. WHAT IS NEW: • Elevated cord blood vitamin E concentrations may be associated with a higher risk of SGA and positively correlated with lipid levels.

Variations in cuticular hydrocarbons of Calliphora vicina (Diptera: Calliphoridae) empty puparia: Insights for estimating late postmortem intervals.

Necrophagous flies, particularly blowflies, serve as vital indicators in forensic entomology and ecological studies, contributing to minimum postmortem interval estimations and environmental monitoring. The study investigates variations in the predominant cuticular hydrocarbons (CHCs) viz. n-C25, n-C27, n-C28, and n-C29 of empty puparia of Calliphora vicina Robineau-Desvoidy, 1830, (Diptera: Calliphoridae) across diverse environmental conditions, including burial, above-ground and indoor settings, over 90 days. Notable trends include a significant decrease in n-C25 concentrations in buried and above-ground conditions over time, while n-C27 concentrations decline in buried and above-ground conditions but remain stable indoors. Burial conditions show significant declines in n-C27 and n-C29 concentrations over time, indicating environmental influences. Conversely, above-ground conditions exhibit uniform declines in all hydrocarbons. Indoor conditions remain relatively stable, with weak correlations between weathering time and CHC concentrations. Additionally, machine learning techniques, specifically Extreme Gradient Boosting (XGBoost), are employed for age estimation of empty puparia, yielding accurate predictions across different outdoor and indoor conditions. These findings highlight the subtle responses of CHC profiles to environmental stimuli, underscoring the importance of considering environmental factors in forensic entomology and ecological research. The study advances the understanding of insect remnant degradation processes and their forensic implications. Furthermore, integrating machine learning with entomological expertise offers standardized methodologies for age determination, enhancing the reliability of entomological evidence in legal contexts and paving the way for future research and development.

An evaluation of the growth, development, reproductive characteristics and pest control potential of three Trichogramma species on Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae).

BACKGROUND: Tuta absoluta is an invasive alien species that has caused major losses in the Chinese tomato industry. Investigating the growth, development, reproduction and pest control effects of three native species of Trichogramma species on the eggs of T. absoluta could provide an ecological tool for preventing and controlling T. absoluta in China. In this study, we constructed age-stage two-sex life tables for three common species of Trichogramma and determined their relative abilities to control T. absoluta in greenhouse insect cages, thus allowing us to identify the species with the most effective ability to prey on T. absoluta eggs. RESULTS: Analysis showed that the net reproductive rate (R0), gross reproduction rate (GRR) and intrinsic rate of increase (r) of Trichogramma ostriniae were the highest of the three species at 22.85, 32.58 and 1.31, respectively. In the presence of 10 eggs and under ideal conditions, T. ostriniae, Trichogramma chilonis, and Trichogramma dendrolimi produced 9451.04, 5199.56, and 1902.95 offspring, respectively. Following the release of T. ostriniae, tomato leaves incurred a damage index of 1 after the first week, while the number of T. absoluta reduced to 24.60 individuals by week 10 (8.75% of the control treatment). CONCLUSION: Of the three species of Trichogramma tested in this study, T. ostriniae exhibited the best growth, development, reproductive capacity and predatory ability against T. absoluta, and has broad application prospects. © 2024 Society of Chemical Industry.

The Influence of Instructional Constraints and Cognitive Control on the Positivity Bias and the Positivity Effect in Autobiographical Memory.

The positivity effect and the positivity bias were examined in voluntary and involuntary autobiographical memories in a sample of younger (n = 69, Mage = 23.2) and older adults (n = 57, Mage = 67.72). The positivity effect has been shown to be sensitive to instructional constraints and cognitive resources. Instructions were manipulated in the voluntary autobiographical memory condition such that participants were instructed to retrieve memories with different levels of constraints. Participants also completed two measures of cognitive control and an assessment of future time perspective. There was no evidence of the positivity effect or positivity bias once depressive symptoms were included as a covariate in the analyses, nor did cognitive control influence memory valence. Future time perspective did not mediate the relationship between age and memory valence. These results suggest that additional research should focus on potential variables that may influence the positivity effect and bias within autobiographical memories.

Artificial intelligence and dental age estimation: development and validation of an automated stage allocation technique on all mandibular tooth types in panoramic radiographs.

Age estimation in forensic odontology is mainly based on the development of permanent teeth. To register the developmental status of an examined tooth, staging techniques were developed. However, due to inappropriate calibration, uncertainties during stage allocation, and lack of experience, non-uniformity in stage allocation exists between expert observers. As a consequence, related age estimation results are inconsistent. An automated staging technique applicable to all tooth types can overcome this drawback.This study aimed to establish an integrated automated technique to stage the development of all mandibular tooth types and to compare their staging performances.Calibrated observers staged FDI teeth 31, 33, 34, 37 and 38 according to a ten-stage modified Demirjian staging technique. According to a standardised bounding box around each examined tooth, the retrospectively collected panoramic radiographs were cropped using Photoshop CC 2021® software (Adobe®, version 23.0). A gold standard set of 1639 radiographs were selected (n31 = 259, n33 = 282, n34 = 308, n37 = 390, n38 = 400) and input into a convolutional neural network (CNN) trained for optimal staging accuracy. The performance evaluation of the network was conducted in a five-fold cross-validation scheme. In each fold, the entire dataset was split into a training and a test set in a non-overlapping fashion between the folds (i.e., 80% and 20% of the dataset, respectively). Staging performances were calculated per tooth type and overall (accuracy, mean absolute difference, linearly weighted Cohen's Kappa and intra-class correlation coefficient). Overall, these metrics equalled 0.53, 0.71, 0.71, and 0.89, respectively. All staging performance indices were best for 37 and worst for 31. The highest number of misclassified stages were associated to adjacent stages. Most misclassifications were observed in all available stages of 31.Our findings suggest that the developmental status of mandibular molars can be taken into account in an automated approach for age estimation, while taking incisors into account may hinder age estimation.

Economic Assessment in Resource-Constrained Systems: Individual-Level Simulation Model in Wet Age-Related Macular Degeneration and Diabetic Macular Oedema.

INTRODUCTION: Cost-effectiveness analyses typically ignore healthcare system resource constraints. Ophthalmology is affected by resource constraints because of increasing disease prevalence and the use of resource-intensive treatments. This study evaluated the impact of resource constraints on the cost-effectiveness of faricimab 6 mg, compared with aflibercept 2 mg and ranibizumab biosimilar 0.5 mg, for treating wet age-related macular degeneration (wAMD) or diabetic macular oedema (DMO) over a 5-year horizon. METHODS: A microsimulation model estimated the impact of resource constraints on patients visits, delays, costs and quality-adjusted life-year (QALY) losses due to treatment delays at a typical UK National Health Service eye hospital treating 1500 patients with wAMD and 500 patients with DMO. Patient characteristics, treatment regimens and treatment intervals were informed using published literature and expert opinion. Resource constraint was represented by limiting the number of available intravitreal injection appointments per week, with growing demand caused by rising disease prevalence. The model compared outcomes across three scenarios; each scenario involved treating all patients with one of the three treatments. RESULTS: Over 5 years, in a resource-constrained hospital, compared with aflibercept, faricimab use resulted in the avoidance of 12,596 delays, saved GBP/£15,108,609 in cost and avoided the loss of 60.06 QALYs. Compared with ranibizumab biosimilar, faricimab use resulted in the avoidance of 18,910 delays, incurred £2,069,088 extra cost and avoided the loss of 105.70 QALYs, resulting in an incremental cost-effectiveness ratio of £19,574/QALY. CONCLUSIONS: Accounting for resource constraints in health economic evaluation is crucial. Emerging therapies that are more durable and require less frequent clinic visits can reduce treatment delays, leading to improved QALY outcomes and reduced burden on healthcare systems. Faricimab reduced the number of delayed injections, leading to improved QALY outcomes for patients in a healthcare system with resource constraints. Faricimab is cost-saving when compared with aflibercept and cost-effective when compared with ranibizumab biosimilar.