BACKGROUND: Health-related quality of life (HRQL) has become an important outcome parameter in cardiology. The MOS 36-ltem Short-Form Health Survey (SF-36) and the PROMIS-29 are two widely used generic measures providing composite HRQL scores. The domains of the SF-36, a well-established instrument utilized for several decades, can be aggregated to physical (PCS) and mental (MCS) component summary scores. Alternative scoring algorithms for correlated component scores (PCSc and MCSc) have also been suggested. The PROMIS-29 is a newer but increasingly used HRQL measure. Analogous to the SF-36, physical and mental health summary scores can be derived from PROMIS-29 domain scores, based on a correlated factor solution. So far, scores from the PROMIS-29 are not directly comparable to SF-36 results, complicating the aggregation of research findings. Thus, our aim was to provide algorithms to convert PROMIS-29 data to well-established SF-36 component summary scores.
METHODS: Data from n = 662 participants of the Berlin Long-term Observation of Vascular Events (BeLOVE) study were used to estimate linear regression models with either PROMIS-29 domain scores or aggregated PROMIS-29 physical/mental health summary scores as predictors and SF-36 physical/mental component summary scores as outcomes. Data from a subsequent assessment point (n = 259) were used to evaluate the agreement between empirical and predicted SF-36 scores.
RESULTS: PROMIS-29 domain scores as well as PROMIS-29 health summary scores showed high predictive value for PCS, PCSc, and MCSc (R2 ≥ 70%), and moderate predictive value for MCS (R2 = 57% and R2 = 40%, respectively). After applying the regression coefficients to new data, empirical and predicted SF-36 component summary scores were highly correlated (r > 0.8) for most models. Mean differences between empirical and predicted scores were negligible (|SMD|<0.1).
CONCLUSIONS: This study provides easy-to-apply algorithms to convert PROMIS-29 data to well-established SF-36 physical and mental component summary scores in a cardiovascular population. Applied to new data, the agreement between empirical and predicted SF-36 scores was high. However, for SF-36 mental component summary scores, considerably better predictions were found under the correlated (MCSc) than under the original factor model (MCS). Additionally, as a pertinent byproduct, our study confirmed construct validity of the relatively new PROMIS-29 health summary scores in cardiology patients.

To develop a deep learning-based model capable of segmenting the left ventricular (LV) myocardium on native T1 maps from cardiac MRI in both long-axis and short-axis orientations. Models were trained on native myocardial T1 maps from 50 healthy volunteers and 75 patients using manual segmentation as the reference standard. Based on a U-Net architecture, we systematically optimized the model design using two different training metrics (Sørensen-Dice coefficient = DSC and Intersection-over-Union = IOU), two different activation functions (ReLU and LeakyReLU) and various numbers of training epochs. Training with DSC metric and a ReLU activation function over 35 epochs achieved the highest overall performance (mean error in T1 10.6 ± 17.9 ms, mean DSC 0.88 ± 0.07). Limits of agreement between model results and ground truth were from -35.5 to + 36.1 ms. This was superior to the agreement between two human raters (-34.7 to + 59.1 ms). Segmentation was as accurate for long-axis views (mean error T1: 6.77 ± 8.3 ms, mean DSC: 0.89 ± 0.03) as for short-axis images (mean error ΔT1: 11.6 ± 19.7 ms, mean DSC: 0.88 ± 0.08). Fully automated segmentation and quantitative analysis of native myocardial T1 maps is possible in both long-axis and short-axis orientations with very high accuracy.

OBJECTIVE: The study examines the ethical, legal, and social implications of fertility preservation, highlighting its importance across oncofertility, elective egg freezing, and posthumous assisted reproduction, as well as its impact on transgender individuals undergoing gender-affirming surgeries.
METHODS: A comprehensive analysis of 600 articles, focusing on a diverse range of disciplines, including bioethics, psychology, and sociology, to explore public and healthcare professionals\' knowledge, patient experiences, and regulatory constraints.
RESULTS: The body of literature is growing, indicating increasing recognition of FP\'s significance. Key themes included the centrality of counseling and informed decision-making, especially in oncofertility and EEF, and ethical debates surrounding informed consent and the autonomy of involved individuals. The analysis underscored a western-centric bias in current research, emphasizing the need for more inclusive and culturally sensitive studies.
CONCLUSIONS: The study calls for a nuanced understanding of FP, advocating for policies that consider ethical, cultural, and social dimensions. It suggests the necessity for interdisciplinary research to address identified gaps, particularly in understanding non-Western perspectives and ensuring equitable access to FP services globally. Moreover, the review emphasizes the importance of integrating patient-centric approaches and ethical frameworks to guide FP practices and policies, ensuring they respect diverse values and meet individuals\' needs.

BACKGROUND: Testing for glucose-6-phosphate dehydrogenase (G6PD) deficiency is an important consideration regarding treatment for malaria. G6PD deficiency may lead to haemolytic anaemia during malaria treatment and, therefore, determining G6PD deficiency in malaria treatment strategies is extremely important.
METHODS: This report presents the results of a scoping review and evidence and gap map for consideration by the Guideline Development Group for G6PD near patient tests to support radical cure of Plasmodium vivax. This scoping review has investigated common diagnostic tests for G6PD deficiency and important contextual and additional factors for decision-making. These factors include six of the considerations recommended by the World Health Organization (WHO) handbook for guideline development as important to determining the direction and strength of a recommendation, and included \'acceptability\', \'feasibility,\' \'equity,\' \'valuation of outcomes,\' \'gender\' and \'human rights\'. The aim of this scoping review is to inform the direction of future systematic reviews and evidence syntheses, which can then better inform the development of WHO recommendations regarding the use of G6PD deficiency testing as part of malaria treatment strategies.
RESULTS: A comprehensive search was performed, including published, peer-reviewed literature for any article, of any study design and methodology that investigated G6PD diagnostic tests and the factors of \'acceptability\', \'feasibility,\' \'equity,\' \'valuation of outcomes,\' \'gender\' and \'human rights\'. There were 1152 studies identified from the search, of which 14 were determined to be eligible for inclusion into this review. The studies contained data from over 21 unique countries that had considered G6PD diagnostic testing as part of a malaria treatment strategy. The relationship between contextual and additional factors, diagnostic tests for G6PD deficiency and study methodology is presented in an overall evidence and gap, which showed that majority of the evidence was for the contextual factors for diagnostic tests, and the \'Standard G6PD (SD Biosensor)\' test.
CONCLUSIONS: This scoping review has produced a dynamic evidence and gap map that is reactive to emerging evidence within the field of G6PD diagnostic testing. The evidence and gap map has provided a comprehensive depiction of all the available literature that address the contextual and additional factors important for decision-making, regarding specific G6PD diagnostic tests. The majority of data available investigating the contextual factors of interest relates to quantitative G6PD diagnostic tests. While a formal qualitative synthesis of this data as part of a systematic review is possible, the data may be too heterogenous for this to be appropriate. These results can now be used to inform future direction of WHO Guideline Development Groups for G6PD near patient tests to support radical cure of P. vivax malaria.

BACKGROUND: The International Society of Paediatric Oncology Society Global Mapping Program aims to describe the local pediatric oncology capacities. Here, we report the data from Latin America.
METHODS: A 10-question survey was distributed among chairs of pediatric oncology services. Centers were classified according to patient volume into high- (HVC; 100 or more new cases per year), medium- (MVC; 31-99 cases), and low-volume centers (LVC; 30 cases or less), respectively. National referral centers (NRC) were identified.
RESULTS: Total 307 centers in 20 countries were identified (271 responded), and 264 responses were evaluable, accounting for 78% of the expected cases (21,359 cases per year). Seventy-seven percent of patients are treated in public centers, including additional support by civil society organizations. We found that 66% of the patients are treated in 70 centers of excellence, including 21 NRC. There was a median of one pediatric oncologist every 21 newly diagnosed patients (44 for NRC), and in 84% of the centers, nurses rotated to other services. A palliative care team was lacking in 25% of the centers. LVC with public funding have significantly lower probability of having a palliative care team or trained pediatric oncology surgeons. Psychosocial, pharmacy, and nutrition services were available in more than 93% of the centers. No radiotherapy facility was available on campus in nine of 21 NRC.
CONCLUSIONS: Most children with cancer in Latin America are treated in public HVC. There is a scarcity of pediatric oncologists, specialized nurses and surgeons, and palliative care teams, especially in centers with public funding.

OBJECTIVE: The AQoL-6D, a generic preference-based measure, is an appealing alternative to EQ-5D-5L for assessing health status in patients with chronic heart failure (HF), given its expanded scope. However, without a Malaysian value set, the AQoL-6D cannot generate health state utility values (HSUVs) to support local economic evaluations. This study intended to develop algorithms for predicting EQ-5D-5L HSUVs from AQoL-6D in an HF population.
METHODS: Cross-sectional data from a multi-centre cohort of 419 HF outpatients were used. Both direct and indirect mapping approaches were attempted using five sets of explanatory variables and 8 models (ordinary least squares, Tobit, censored least absolute deviations, generalised linear model, two-part model [TPM], beta regression-based model, adjusted limited dependent variable mixture model, and multinomial ordinal regression [MLOGIT]). The models\' predictive performance was assessed through ten-fold cross-validated mean absolute error [MAE] and root mean squared error [RMSE]). Potential prediction bias was also examined graphically. The best-performing models, with the lowest RMSE and no bias, were then identified.
RESULTS: Among the models evaluated, TPM, which included age, sex, and five AQoL-6D dimension scores as predictors, appears to be the best-performing model for directly predicting EQ-5D-5L HSUVs from AQoL-6D. TPM yielded the lowest MAE (0.0802) and RMSE (0.1116), and demonstrated predictive accuracy for HSUVs >0.2 without significant bias. A MLOGIT model developed for response mapping had suboptimal predictive accuracy.
CONCLUSIONS: This study developed potentially useful mapping algorithms for generating Malaysian EQ-5D-5L HSUVs from AQoL-6D responses among patients with HF when direct EQ-5D-5L data is unavailable.

During meiosis, Spo11 generates DNA double-strand breaks to induce recombination, becoming covalently attached to the 5\' ends on both sides of the break during this process. Such Spo11 \"covalent complexes\" are transient in wild-type cells, but accumulate in nuclease mutants unable to initiate repair. The CC-seq method presented here details how to map the location of these Spo11 complexes genome-wide with strand-specific nucleotide-resolution accuracy in synchronized Saccharomyces cerevisiae meiotic cells.

BACKGROUND: Preference-based measures of health-related quality of life (HRQoL), such as the EQ-5D or the SF-6D, are essential for health economic evaluation. However, they are rarely included in clinical trials of ankylosing spondylitis (AS). This study aims to develop mapping algorithms to predict EQ-5D-3L and EQ-5D-5L health utility scores from the Bath Ankylosing Disease Activity Index (BASDAI) and the Bath Ankylosing Spondylitis Functional Index (BASFI).
METHODS: Patients with AS were recruited from the largest tertiary hospital in Shandong province, China, between December 2019 and October 2020. Patients were selected by convenience sampling method according to the following criteria: (1) diagnosed with AS according to the New York criteria; (2) aged 18 years and above; and (3) without mental disorders; (4) able to understand the questionnaires; (5) without serious complications. There were 243 patients who completed the face-to-face questionnaire survey, and 5 cases with missing values in key variables were excluded. Ordinary least squares, censored least absolute deviations, Tobit, adjusted limited dependent variable mixture model and beta-mixture model (BM) in the direct approach and ordered logit and multinomial logit (Mlogit) model in the response approach were used to develop mapping algorithms. Mean absolute error, root mean square error, Spearman\'s correlation coefficient and concordance correlation coefficient were used to access predictive performance.
RESULTS: The 238 patients with AS had a mean age of 35.19 (SD = 9.59) years, and the majority (74.47%) were male. The observed EQ-5D-3L and EQ-5D-5L health utility values were 0.88 (SD = 0.12) and 0.74 (SD = 0.27), respectively. The EQ-5D-5L had higher conceptual overlap with the BASDAI and BASFI than the EQ-5D-3L did. The Mlogit was the best-performing model for the EQ-5D-3L, and the BM showed better performance in predicting EQ-5D-5L than other direct and indirect mapping models did.
CONCLUSIONS: This study demonstrates that the EQ-5D-5L, rather than EQ-5D-3L, should be selected as the target outcome measure of HRQoL in patients with AS in China, and the BM mapping algorithm could be used to predict EQ-5D-5L values from BASDAI and BASFI for health economic evaluation.

BACKGROUND: Oral aripiprazole exhibits favorable clinical efficacy and safety in the suppression of tics in children and adolescents with tic disorders. This study aims to evaluate and compare the cost-effectiveness of high-dose and low-dose aripiprazole in children and adolescents with tic disorders from the perspective of the Chinese healthcare system.
METHODS: A questionnaire survey was conducted on 146 patients with tic disorders, of whom 144 completed EQ-5D-Y and YGTSS. Four models were built to convert YGTSS onto EQ-5D-Y utility using two mapping algorithms. We constructed a decision tree model containing efficacy and safety to compare the cost-effectiveness of high-dose and low-dose aripiprazole based on our mapping function.
RESULTS: The GLM with model 1 (YGTSS total tic scores) was selected as the preferred function in our decision tree model. The base case cost-effectiveness analysis showed that compared to low-dose aripiprazole, high-dose aripiprazole improves effectiveness by 0.001QALYs and increases the overall cost by $197.99, resulting in an ICER of $174339.22 per QALY, which exceeds three times the gross domestic product per capita. Hence, high-dose aripiprazole is not likely to be a cost-effective option for child patients with tic disorders. One-way sensitivity analysis and probabilistic sensitivity analysis showed that these results is robust.
CONCLUSIONS: On the basis of currently available data, low-dose aripiprazole may be a safe, effective, and economical dosage for children and adolescents with tic disorders.
CONCLUSIONS: The main limitation of our study is the lack of utility directly used for cost-effectiveness analysis. We obtained the utility of patients with tic disorders indirectly by the mapping function. This may introduce some bias and uncertainty. And it is a limitation to use the direct medical costs of Germany in our model. Although we converted it to the equivalent value of China using purchasing power parities, caution should be exercised when interpreting the results of this study.

Barley stripe or yellow rust (BYR) caused by Puccinia striiformis f. sp. hordei (Psh) is a significant constraint to barley production. The disease is best controlled by genetic resistance, which is considered the most economical and sustainable component of integrated disease management. In this study, we assessed the diversity of resistance to Psh in a panel of international barley genotypes (n = 266) under multiple disease environments (Ecuador, India, and Mexico) using genome-wide association studies (GWASs). Four quantitative trait loci (QTLs) (three on chromosome 1H and one on 7H) associated with resistance to Psh were identified. The QTLs were validated by mapping resistance to Psh in five biparental populations, which detected key genomic regions on chromosomes 1H (populations Pompadour/Zhoungdamei, Pompadour/Zug161, and CI9214/Baudin), 3H (Ricardo/Gus), and 7H (Fumai8/Baronesse). The QTL RpshQ.GWA.1H.1 detected by GWAS and RpshQ.Bau.1H detected using biparental mapping populations co-located were the most consistent and stable across environments and are likely the same resistance region. RpshQ.Bau.1H was saturated using population CI9214/Baudin by enriching the target region, which placed the resistance locus between 7.9 and 8.1 Mbp (flanked by markers sun_B1H_03, 0.7 cM proximal to Rpsh_1H and sun_B1H_KASP_02, 3.2 cM distal on 1HS) in the Morex reference genome v.2. A Kompetitive Allele Specific PCR (KASP) marker sun_B1H_KASP_01 that co-segregated for RpshQ.Bau.1H was developed. The marker was validated on 50 Australian barley cultivars, showing well-defined allelic discrimination and presence in six genotypes (Baudin, Fathom, Flagship, Grout, Sakurastar, and Shepherd). This marker can be used for reliable marker-assisted selection and pyramiding of resistance to Psh and in diversifying the genetic base of resistance to stripe rust.