EMDB-the Electron Microscopy Data Bank.

The Electron Microscopy Data Bank (EMDB) is the global public archive of three-dimensional electron microscopy (3DEM) maps of biological specimens derived from transmission electron microscopy experiments. As of 2021, EMDB is managed by the Worldwide Protein Data Bank consortium (wwPDB; wwpdb.org) as a wwPDB Core Archive, and the EMDB team is a core member of the consortium. Today, EMDB houses over 30 000 entries with maps containing macromolecules, complexes, viruses, organelles and cells. Herein, we provide an overview of the rapidly growing EMDB archive, including its current holdings, recent updates, and future plans.

Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights.

The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there is a pressing need to predict ICU mortality in these cases. This study based on data from 1188 patients, addresses this imperative using machine learning techniques and investigating different class balancing methods for pediatric ICU mortality prediction. This study employs the publicly accessible "Paediatric Intensive Care database" to train, validate, and test a machine learning model for predicting pediatric patient mortality. Features were ranked using three machine learning feature selection techniques, namely Random Forest, Extra Trees, and XGBoost, resulting in the selection of 16 critical features from a total of 105 features. Ten machine learning models and ensemble techniques are used to make accurate mortality predictions. To tackle the inherent class imbalance in the dataset, we applied a unique data partitioning technique to enhance the model's alignment with the data distribution. The CatBoost machine learning model achieved an area under the curve (AUC) of 72.22%, while the stacking ensemble model yielded an AUC of 60.59% for mortality prediction. The proposed subdivision technique, on the other hand, provides a significant improvement in performance metrics, with an AUC of 85.2% and an accuracy of 89.32%. These findings emphasize the potential of machine learning in enhancing pediatric mortality prediction and inform strategies for improved ICU readiness.

Comparative analysis of dexmedetomidine, midazolam, and propofol impact on epilepsy-related mortality in the ICU: insights from the MIMIC-IV database.

BACKGROUND: Dexmedetomidine (Dex), midazolam, and propofol are three distinct sedatives characterized by varying pharmacological properties. Previous literature has indicated the positive impact of each of these sedatives on ICU patients. However, there is a scarcity of clinical evidence comparing the efficacy of Dex, midazolam, and propofol in reducing mortality among people with epilepsy (PWE). This study aimed to assess the impact of Dex, midazolam, and propofol on the survival of PWE. METHODS: The data were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC)-IV database (version 2.0). PWE were categorized into Dex, midazolam, and propofol groups based on the intravenously administered sedatives. PWE without standard drug therapy were included in the control group. Comparative analyses were performed on the data among the groups. RESULTS: The Dex group exhibited a significantly lower proportion of in-hospital deaths and a markedly higher in-hospital survival time compared to the midazolam and propofol groups (p < 0.01) after propensity score matching. Kaplan-Meier curves demonstrated a significant improvement in survival rates for the Dex group compared to the control group (p = 0.025). Analysis of Variance (ANOVA) revealed no significant differences in survival rates among the Dex, midazolam, and propofol groups (F = 1.949, p = 0.143). The nomogram indicated that compared to midazolam and propofol groups, Dex was more effective in improving the survival rate of PWE. CONCLUSION: Dex might improve the survival rate of PWE in the ICU compared to no standard drug intervention. However, Dex did not exhibit superiority in improving survival rates compared to midazolam and propofol.

Malignant tumor increases the risk of all causes in-hospital mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database.

BACKGROUND: Ischemic stroke (IS) and malignant tumor (MT) have high morbidity and mortality rates worldwide, and several associations exist between them. This study aimed to determine the effect of MT on hospital mortality in patients with IS. METHODS: Based on their MT status, participants with IS in the Medical Information Mart for Intensive Care IV (MIMIC-IV) were divided into two groups. The primary outcome was in-hospital all causes mortality. Kaplan-Meier survival analysis was performed to evaluate the intergroup in-hospital mortality, and three Cox regression models were used to determine the association between MT and in-hospital mortality. RESULTS: A total of 1605 participants (749 males and 856 females) were included in the study. The mean age was 72.030 ± 15.463 years. Of these, 257 (16%) patients died in the hospital. Kaplan-Meier analysis showed that the MT group had a significantly lower possibility of in-hospital survival than the non-MT group. In the unadjusted model, in-hospital mortality among MT patients had a higher odds ratio (OR) of 1.905 (95% CI, 1.320-2.748; P < 0.001) than the non-MT group. After adjusting for basic information, vital signs, and laboratory data, MT was also associated with increased in-hospital mortality (OR = 1.844, 95% CI: 1.255-2.708; P = 0.002). CONCLUSIONS: Among the patients with IS, the risk of all causes in-hospital mortality was higher for MT than for patients non-MT. This finding can assist clinicians in more accurately assessing prognosis and making informed treatment decisions.

Breast Cancer Stage at Diagnosis in a Nigerian Hospital: Trend over a Decade.

BACKGROUND: Breast cancer outcomes are poor in Nigeria, partly due to late-stage diagnosis. To assess the impact of past and present interventions, a review of an institutional data base was performed to determine the trend with respect to stage at diagnosis over a decade. METHODS: A retrospective analysis of an institutional data base was performed over a decade. The review period was divided into segments (2013-2015, 2016-2018 and 2019-2022). The latter period (2019-2022), corresponds to a time of more intense community interventions aimed at promoting early diagnosis and treatment around the locality of the teaching hospital. The stage at diagnosis within these periods were compared. The relationship between stage and sociodemographic variables (age, religion, marital status, menopausal status, and level of education) was assessed. RESULTS: There were 910 patients, 144 within the first period (2013-2015), 318 in the second (2016-2018) and 454 in the third period (2019-2022). The majority presented with stage 3 disease (73.8%). There was a significant decline in the proportion of metastatic cases and a concomitant increase in early cases in the latter part of the review. The proportion of metastatic cases reduced from 23.6% (2013-2015), to 15.7% (2016-2018) and 9.3% (2019-2022) (p=0.001). Level of education was significantly associated with stage (p=0.001). CONCLUSION: This study shows a trend towards downstaging of breast cancer in our locality. This trend corresponds to the period of more intense community interventions, justifying the need to further interrogate the direct impact of each of the interventions. This will provide a firm basis for sustaining or improving on current efforts to achieve more robust gains.

CONTEXTE: Les résultats du cancer du sein sont médiocres au Nigeria, en partie en raison d'un diagnostic tardif. Pour évaluer l'impact des interventions passées et actuelles, une revue d'une base de données institutionnelle a été réalisée pour déterminer la tendance en ce qui concerne le stade au moment du diagnostic sur une décennie. MÉTHODES: Une analyse rétrospective d'une base de données institutionnelle a été effectuée sur une décennie. La période de revue a été divisée en segments (2013-2015, 2016-2018 et 2019-2022). La dernière période (2019-2022) correspond à une période d'interventions communautaires plus intensives visant à promouvoir un diagnostic précoce et un traitement autour de la localité de l'hôpital universitaire. Les stades au moment du diagnostic au cours de ces périodes ont été comparés. La relation entre le stade et les variables sociodémographiques (âge, religion, état matrimonial, statut ménopausique et niveau d'éducation) a été évaluée. RÉSULTATS: Il y avait 910 patients, 144 dans la première période (2013-2015), 318 dans la deuxième (2016-2018) et 454 dans la troisième période (2019-2022). La majorité présentait une maladie de stade 3 (73,8 %). On a observé une diminution significative de la proportion de cas métastatiques et une augmentation concomitante des cas précoces dans la dernière partie de la revue. La proportion de cas métastatiques est passée de 23,6 % (2013-2015) à 15,7 % (2016- 2018) et 9,3 % (2019-2022) (p=0,001). Le niveau d'éducation était significativement associé au stade (p=0,001). CONCLUSION: Cette étude montre une tendance à la réduction du stade du cancer du sein dans notre localité. Cette tendance correspond à la période d'interventions communautaires plus intenses, justifiant la nécessité d'interroger davantage l'impact direct de chacune des interventions. Cela fournira une base solide pour soutenir ou améliorer les efforts actuels afin d'obtenir des gains plus robustes. Mots-clés: Sein, Cancer, Stade, Nigéria.

Temporal Profile of Pneumonia After Stroke.

BACKGROUND AND PURPOSE: The occurrence of pneumonia after stroke is associated with a higher risk of poor outcome or death. We assessed the temporal profile of pneumonia after stroke and its association with poor outcome at several time points to identify the most optimal period for testing pneumonia prevention strategies. METHODS: We analyzed individual patient data stored in the VISTA (Virtual International Stroke Trials Archive) from randomized acute stroke trials with an inclusion window up to 24 hours after stroke onset and assessed the occurrence of pneumonia in the first 90 days after stroke. Adjusted odds ratios and hazard ratios were calculated for the association between pneumonia and poor outcome and death by means of logistic and Cox proportional hazard regression, respectively, at different times of follow-up. RESULTS: Of 10 821 patients, 1017 (9.4%) had a total of 1076 pneumonias. Six hundred eighty-nine (64.0%) pneumonias occurred in the first week after stroke. The peak incidence was on the third day and the median time of onset was 4.0 days after stroke (interquartile range, 2-12). The presence of a pneumonia was associated with an increased risk of poor outcome (adjusted odds ratio, 4.8 [95% CI, 3.8-6.1]) or death (adjusted hazard ratio, 4.1 [95% CI, 3.7-4.6]). These associations were present throughout the 90 days of follow-up. CONCLUSIONS: Two out of 3 pneumonias in the first 3 months after stroke occur in the first week, with a peak incidence on the third day. The most optimal period to assess pneumonia prevention strategies is the first 4 days after stroke. However, pneumonia occurring later was also associated with poor functional outcome or death.

No Racial Disparity in Outcome Measures After Endovascular Treatment for Stroke in the Elderly.

BACKGROUND AND PURPOSE: Despite the lower rates of good outcomes and higher mortality in elderly patients, age does not modify the treatment effect of mechanical thrombectomy for large vessel occlusion strokes. We aimed to study whether racial background influences the outcome after mechanical thrombectomy in the elderly population. METHODS: We reviewed a prospectively maintained database of patients with acute ischemic stroke treated with mechanical thrombectomy from October 2010 through June 2020 to identify all consecutive patients with age ≥80 years and anterior circulation large vessel occlusion strokes. The patients were categorized according to their race as Black and White. Univariable and multivariable analyses were performed to define the predictors of 90-day modified Rankin Scale and mortality in the overall population and in each race separately. RESULTS: Among 2241 mechanical thrombectomy, a total of 344 patients (median [interquartile range]; age 85 [82-88] years, baseline National Institutes of Health Stroke Scale score of 19 [15-23], Alberta Stroke Program Early CT Score 9 [7-9], 69.5% females) were eligible for the analysis. White patients (n=251; 73%) had significantly lower median body mass index (25.37 versus 26.89, P=0.04) and less frequent hypertension (78.9% versus 90.3%, P=0.01) but more atrial fibrillation (64.5% versus 44.1%, P=0.001) compared with African Americans (n=93; 27%). Other clinical, imaging, and procedural characteristics were comparable between groups. The rates of symptomatic intracerebral hemorrhage, 90-day modified Rankin Scale score of 0 to 2, and mortality were comparable among both groups. On multivariable analysis, race was neither a predictor of 90-day modified Rankin Scale score of 0 to 2 (White race: odds ratio, 0.899 [95% CI, 0.409-1.974], P=0.79) nor 90-day mortality (White race: odds ratio, 1.368; [95% CI, 0.715-2.618], P=0.34). CONCLUSIONS: In elderly patients undergoing mechanical thrombectomy for acute ischemic stroke, there was no racial difference in terms of outcome.

Patient-reported outcomes and target effect sizes in pragmatic randomized trials in ClinicalTrials.gov: A cross-sectional analysis.

BACKGROUND: Use of patient-reported outcomes (PROs) and patient and public engagement are critical ingredients of pragmatic trials, which are intended to be patient centered. Engagement of patients and members of the public in selecting the primary trial outcome and determining the target difference can better ensure that the trial is designed to inform the decisions of those who ultimately stand to benefit. However, to the best of our knowledge, the use and reporting of PROs and patient and public engagement in pragmatic trials have not been described. The objectives of this study were to review a sample of pragmatic trials to describe (1) the prevalence of reporting patient and public engagement; (2) the prevalence and types of PROs used; (3) how its use varies across trial characteristics; and (4) how sample sizes and target differences are determined for trials with primary PROs. METHODS AND FINDINGS: This was a methodological review of primary reports of pragmatic trials. We used a published electronic search filter in MEDLINE to identify pragmatic trials, published in English between January 1, 2014 and April 3, 2019; we identified the subset that were registered in ClinicalTrials.gov and explicitly labeled as pragmatic. Trial descriptors were downloaded from ClinicalTrials.gov; information about PROs and sample size calculations were extracted from the manuscript. Chi-squared, Cochran-Armitage, and Wilcoxon rank sum tests were used to examine associations between trial characteristics and use of PROs. Among 4,337 identified primary trial reports, 1,988 were registered in CT.gov, of which 415 were explicitly labeled as pragmatic. Use of patient and public engagement was identified in 39 (9.4%). PROs were measured in 235 (56.6%): 144 (34.7%) used PROs as primary outcomes and 91 (21.9%) as only secondary outcomes. Primary PROs were symptoms (64; 44%), health behaviors (36; 25.0%), quality of life (17; 11.8%), functional status (16; 11.1%), and patient experience (10; 6.9%). Trial characteristics with lower prevalence of use of PROs included being conducted exclusively in children or adults over age 65 years, cluster randomization, recruitment in low- and middle-income countries, and primary purpose of prevention; trials conducted in Europe had the highest prevalence of PROs. For the 144 trials with a primary PRO, 117 (81.3%) reported a sample size calculation for that outcome; of these, 71 (60.7%) justified the choice of target difference, most commonly, using estimates from pilot studies (31; 26.5%), standardized effect sizes (20; 17.1%), or evidence reviews (16; 13.7%); patient or stakeholder opinions were used to justify the target difference in 8 (6.8%). Limitations of this study are the need for trials to be registered in ClinicalTrials.gov, which may have reduced generalizability, and extracting information only from the primary trial report. CONCLUSIONS: In this study, we observed that pragmatic trials rarely report patient and public engagement and do not commonly use PROs as primary outcomes. When provided, target differences are often not justified and rarely informed by patients and stakeholders. Research funders, scientific journals, and institutions should support trialists to incorporate patient engagement to fulfill the mandate of pragmatic trials to be patient centered.

The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study.

Psychological androgyny has long been associated with greater cognitive flexibility, adaptive behavior, and better mental health, but whether a similar concept can be defined using neural features remains unknown. Using the neuroimaging data from 9620 participants, we found that global functional connectivity was stronger in the male brain before middle age but became weaker after that, when compared with the female brain, after systematic testing of potentially confounding effects. We defined a brain gender continuum by estimating the likelihood of an observed functional connectivity matrix to represent a male brain. We found that participants mapped at the center of this continuum had fewer internalizing symptoms compared with those at the 2 extreme ends. These findings suggest a novel hypothesis proposing that there exists a neuroimaging concept of androgyny using the brain gender continuum, which may be associated with better mental health in a similar way to psychological androgyny.

Sex Differences in Anatomical Rich-Club and Structural-Functional Coupling in the Human Brain Network.

Structural and functional differences between the brains of female and male adults have been well documented. However, potential sex differences in the patterns of rich-club organization and the coupling between their structural connectivity (SC) and functional connectivity (FC) remain to be determined. In this study, functional magnetic resonance imaging and diffusion tensor imaging techniques were combined to examine sex differences in rich-club organization. Females had a stronger SC-FC coupling than males. Moreover, stronger SC-FC coupling in the females was primarily located in feeder connections and non-rich-club nodes of the left inferior frontal gyrus and inferior parietal lobe and the right superior frontal gyrus and superior parietal gyrus, whereas higher coupling strength in males was primarily located in rich-club connections and rich-club node of the right insula, and non-rich-club nodes of the left hippocampus and the right parahippocampal gyrus. Sex-specific patterns in correlations were also shown between SC-FC coupling and cognitive function, including working memory and reasoning ability. The topological changes in rich-club organization provide novel insight into sex-specific effects on white matter connections that underlie a potential network mechanism of sex-based differences in cognitive function.

The Association Between Race and Adverse Postoperative Outcomes in Children With Congenital Heart Disease Undergoing Noncardiac Surgery.

BACKGROUND: The association between race and perioperative outcomes has been evaluated in adult cardiac surgical and in healthy pediatric patients but has not been evaluated in children with congenital heart disease (CHD) presenting for noncardiac procedures. This study compares the incidence of the primary outcome of 30-day mortality and adverse postoperative outcomes following noncardiac surgery between Black and White children with CHD, stratified by severity. METHODS: This is a retrospective study. Comparison of outcomes between Black and White children was performed using the 2012-2018 American College of Surgeons National Surgical Quality Improvement Program Pediatric database and after stratification for severity of CHD and propensity score matching. RESULTS: A total of 55,859 patients were included, and divided into 28,601 minor, 23,839 major, and 3419 severe CHD. Black and White children in each category were matched and compared. Following matching in the overall CHD cohort, there were significantly higher rates of the following adverse postoperative outcomes among Black patients as compared to White patients: 30-day mortality (1.84% vs 1.49%; odds ratio [OR], 1.25; 95% confidence interval [CI], 1.05-1.48; P = .014), composite secondary outcomes (19.90% vs 17.88%; OR, 1.14; 95% CI, 1.08-1.21; P < .001), cardiac arrest (1.42% vs 0.98%; OR, 1.46; 95% CI, 1.19-1.79; P < .001), 30-day reoperation (7.59% vs 6.67%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), and reintubation (3.9% vs 2.95%; OR, 1.34; 95% CI, 1.19-1.52; P < .001). No significant statistical interaction between race and CHD severity was found. Following matching and within the minor CHD cohort, Black children had significantly higher rates of composite secondary outcome (17.44% vs 15.60%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), cardiac arrest (1.02% vs 0.53%; OR, 1.94; 95% CI, 1.37-2.76; P < .001), 30-day reoperation (7.19% vs 5.77%; OR, 1.26; 95% CI, 1.11-1.43; P < .001), and thromboembolic complications (0.49% vs 0.23%; OR, 2.17; 95% CI, 1.29-3.63; P = .003) compared to White children. In the major CHD cohort, Black children had significantly higher rates of 30-day mortality (2.75% vs 2.05%; OR, 1.35; 95% CI, 1.08-1.69; P = .008) and reintubation (4.82% vs 3.72%; OR, 1.32; 95% CI, 1.11-1.56; P = .002). There were no statistically significant differences in outcomes in the severe CHD category for 30-day mortality (3.36% vs 3.3%; OR, 1.02; 95% CI, 0.60-1.73; P = .946), composite secondary outcome (22.65% vs 21.36%; OR, 1.08; 95% CI, 0.86-1.36; P = .517) nor the components of the composite secondary outcomes. CONCLUSIONS: Race is associated with postoperative mortality and complications in children with minor and major CHD undergoing noncardiac surgery. No significant association was observed between race and postoperative outcomes in patients with severe CHD. This is consistent with previous findings wherein in patients with severe CHD, residual lesion burden and functional status is the leading predictor of outcomes following noncardiac surgery. Nevertheless, there is no evidence that the relationship between race and outcomes differs across the CHD severity categories. Future studies to understand the mechanisms leading to the racial difference, including institutional, clinical, and individual factors are needed.

Network variants are similar between task and rest states.

Recent work has demonstrated that individual-specific variations in functional networks (termed "network variants") can be identified in individuals using resting state functional magnetic resonance imaging (fMRI). These network variants exhibit reliability over time, suggesting that they may be trait-like markers of individual differences in brain organization. However, while networks variants are reliable at rest, is is still untested whether they are stable between task and rest states. Here, we use precision data from the Midnight Scan Club (MSC) to demonstrate that (1) task data can be used to identify network variants reliably, (2) these network variants show substantial spatial overlap with those observed in rest, although state-specific effects are present, (3) network variants assign to similar canonical functional networks in task and rest states, and (4) single tasks or a combination of multiple tasks produce similar network variants to rest. Together, these findings further reinforce the trait-like nature of network variants and demonstrate the utility of using task data to define network variants.

Hemodynamic matrix factorization for functional magnetic resonance imaging.

The General Linear Model (GLM) used in task-fMRI relates activated brain areas to extrinsic task conditions. The translation of resulting neural activation into a hemodynamic response is commonly approximated with a linear convolution model using a hemodynamic response function (HRF). There are two major limitations in GLM analysis. Firstly, the GLM assumes that neural activation is either on or off and matches the exact stimulus duration in the corresponding task timings. Secondly, brain networks observed in resting-state fMRI experiments present also during task experiments, but the GLM approach models these task-unrelated brain activity as noise. A novel kernel matrix factorization approach, called hemodynamic matrix factorization (HMF), is therefore proposed that addresses both limitations by assuming that task-related and task-unrelated brain activity can be modeled with the same convolution model as in GLM analysis. By contrast to the GLM, the proposed HMF is a blind source separation (BSS) technique, which decomposes fMRI data into modes. Each mode comprises of a neural activation time course and a spatial mapping. Two versions of HMF are proposed in which the neural activation time course of each mode is convolved with either the canonical HRF or predetermined subject-specific HRFs. Firstly, HMF with the canonical HRF is applied to two open-source cohorts. These cohorts comprise of several task experiments including motor, incidental memory, spatial coherence discrimination, verbal discrimination task and a very short localization task, engaging multiple parts of the eloquent cortex. HMF modes were obtained whose neural activation time course followed original task timings and whose corresponding spatial map matched cortical areas known to be involved in the respective task processing. Secondly, the alignment of these neural activation time courses to task timings were further improved by replacing the canonical HRF with subject-specific HRFs during HMF mode computation. In addition to task-related modes, HMF also produced seemingly task-unrelated modes whose spatial maps matched known resting-state networks. The validity of a fMRI task experiment relies on the assumption that the exposure to a stimulus for a given time causes an imminent increase in neural activation of equal duration. The proposed HMF is an attempt to falsify this assumption and allows to identify subject task participation that does not comply with the experiment instructions.

Difference in distribution functions: A new diffusion weighted imaging metric for estimating white matter integrity.

Diffusion weighted imaging (DWI) is a widely recognized neuroimaging technique to evaluate the microstructure of brain white matter. The objective of this study is to establish an improved automated DWI marker for estimating white matter integrity and investigating ageing related cognitive decline. The concept of Wasserstein distance was introduced to help establish a new measure: difference in distribution functions (DDF), which captures the difference of reshaping one's mean diffusivity (MD) distribution to a reference MD distribution. This new DWI measure was developed using a population-based cohort (n=19,369) from the UK Biobank. Validation was conducted using the data drawn from two independent cohorts: the Sydney Memory and Ageing Study, a community-dwelling sample (n=402), and the Renji Cerebral Small Vessel Disease Cohort Study (RCCS), which consisted of cerebral small vessel disease (CSVD) patients (n=171) and cognitively normal controls (NC) (n=43). DDF was associated with age across all three samples and better explained the variance of changes than other established DWI measures, such as fractional anisotropy, mean diffusivity and peak width of skeletonized mean diffusivity (PSMD). Significant correlations between DDF and cognition were found in the UK Biobank cohort and the MAS cohort. Binary logistic analysis and receiver operator characteristic curve analysis of RCCS demonstrated that DDF had higher sensitivity in distinguishing CSVD patients from NC than the other DWI measures. To demonstrate the flexibility of DDF, we calculated regional DDF which also showed significant correlation with age and cognition. DDF can be used as a marker for monitoring the white matter microstructural changes and ageing related cognitive decline in the elderly.

Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates.

The hippocampus has been extensively studied in various neuropsychiatric disorders throughout the lifespan. However, inconsistent results have been reported with respect to which subfield volumes are most related to age. Here, we investigate whether these discrepancies may be explained by experimental design differences that exist between studies. Multiple datasets were used to collect 1690 magnetic resonance scans from healthy individuals aged 18-95 years old. Standard T1-weighted (T1w; MPRAGE sequence, 1 mm3 voxels), high-resolution T2-weighted (T2w; SPACE sequence, 0.64 mm3 voxels) and slab T2-weighted (Slab; 2D turbo spin echo, 0.4 × 0.4 × 2 mm3 voxels) images were included. The MAGeT Brain algorithm was used for segmentation of the hippocampal grey matter (GM) subfields and peri-hippocampal white matter (WM) subregions. Linear mixed-effect models and Akaike information criterion were used to examine linear, second or third order natural splines relationship between hippocampal volumes and age. We demonstrated that stratum radiatum/lacunosum/moleculare and fornix subregions expressed the highest relative volumetric decrease, while the cornus ammonis 1 presented a relative volumetric preservation of its volume with age. We also found that volumes extracted from slab images demonstrated different age-related relationships compared to volumes extracted from T1w and T2w images. The current work suggests that although T1w, T2w and slab derived subfield volumetric outputs are largely homologous, modality choice plays a meaningful role in the volumetric estimation of the hippocampal subfields.

Functional connectivity patterns predict naturalistic viewing versus rest across development.

Cognitive states, such as rest and task engagement, share an 'intrinsic' functional network organization that is subject to minimal variation over time and yields stable signatures within an individual. Importantly, there are also transient state-specific functional connectivity (FC) patterns that vary across neural states. Here, we examine functional brain organization differences that underlie distinct states in a cross-sectional developmental sample. We compare FC fMRI data acquired during naturalistic viewing (i.e., movie-watching) and resting-state paradigms in a large cohort of 157 children and young adults aged 6-20. Naturalistic paradigms are commonly implemented in pediatric research because they maintain the child's attention and contribute to reduced head motion. It remains unknown, however, to what extent the brain-wide functional network organization is comparable during movie-watching and rest across development. Here, we identify a widespread FC pattern that predicts whether individuals are watching a movie or resting. Specifically, we develop a model for prediction of multilevel neural effects (termed PrimeNet), which can with high reliability distinguish between movie-watching and rest irrespective of age and that generalizes across movies. In turn, we characterize FC patterns in the most predictive functional networks for movie-watching versus rest and show that these patterns can indeed vary as a function of development. Collectively, these effects highlight a 'core' FC pattern that is robustly associated with naturalistic viewing, which also exhibits change across age. These results, focused here on naturalistic viewing, provide a roadmap for quantifying state-specific functional neural organization across development, which may reveal key variation in neurodevelopmental trajectories associated with behavioral phenotypes.

Mind the brain gap: The worldwide distribution of neuroimaging research on adolescent depression.

Adolescents comprise one fourth of the world's population, with about 90% of them living in low- and middle-income countries (LMICs). The incidence of depression markedly increases during adolescence, making the disorder a leading cause of disease-related disability in this age group. However, most research on adolescent depression has been performed in high-income countries (HICs). To ascertain the extent to which this disparity operates in neuroimaging research, a systematic review of the literature was performed. A total of 148 studies were identified, with neuroimaging data available for 4,729 adolescents with depression. When stratified by income group, 122 (82%) studies originated from HICs, while 26 (18%) were conducted in LMICs, for a total of 3,705 and 1,024 adolescents with depression respectively. A positive Spearman rank correlation was observed between country per capita income and sample size (rs=0.673, p = 0.023). Our results support the previous reports showing a large disparity between the number of studies and the adolescent population per world region. Future research comparing neuroimaging findings across populations from HICs and LMICs may provide unique insights to enhance our understanding of the neurobiological processes underlying the development of depression.

Twenty-year trends in prostate cancer stage and grade migration in a large contemporary german radical prostatectomy cohort.

BACKGROUND: A trend towards inverse stage migration in prostate cancer (PCa) was reported. However, previous analyses did not take into account potential differences in sampling strategies (number of biopsy cores), which might have confounded these reports. MATERIAL AND METHODS: Within our single-institutional database we identified PCa patients treated with radical prostatectomy (RP) between 2000 and 2020 (n = 21,646). We calculated the estimated annual percentage change (EAPC) for D'Amico risk groups, biopsy Gleason Grade Group (GGG), PSA and cT stage as well as postoperative RP GGG and pT stage relying on log linear regression methodology. Subsequently, we repeated the analyses after adjustment for number of cores obtained at biopsy. RESULTS: Absolute rates of D'Amico low risk decreased (-30.1%), while intermediate and high risk increased (+21.2% and +9.0%, respectively). Rates of GGG I decreased (-50.0%), while GGG II-V increased, with the largest increase in GGG II (+22.5%). This trend, albeit less pronounced, was also recorded after adjusted EAPC analyses (p < .05). Specifically, EAPC values for D'Amico low vs intermediate vs high risk were -1.07%, +0.37%, +0.45%, respectively, and EAPC values for GGG ranged between -0.71% (GGG I) and +0.80% (GGG IV). Finally, an increase in ≥cT2 (EAPC: +3.16%) was displayed (all p < .001). These trends were confirmed in EAPC calculations in RP GGG and pT stages (p < .001). CONCLUSION: Our findings confirm the trend towards less frequent treatment of low risk PCa and more frequent treatment of high risk PCa, also after adjustment for number of biopsy cores.

Inpatient Pediatric CKD Health Care Utilization and Mortality in the United States.

RATIONALE & OBJECTIVE: The impact of chronic kidney disease (CKD) on inpatient health care use is unknown. This study aimed to describe the prevalence of pediatric CKD among children hospitalized in the United States and examine the association of CKD with hospital outcomes. STUDY DESIGN: Cross-sectional national survey of pediatric discharges. SETTING & PARTICIPANTS: Hospital discharges of children (aged>28 days to 19 years) with a chronic medical diagnosis included in the Healthcare Cost and Utilization Project Kids' Inpatient Database for 2006, 2009, 2012, and 2016. PREDICTOR: Presence of primary or coexisting CKD as identified by diagnosis codes. OUTCOMES: Length of stay (LOS), cost, and mortality. ANALYTICAL APPROACH: Multivariable analysis using Poisson, gamma, and logistic regressions were performed for LOS, cost, and mortality, respectively. RESULTS: A chronic medical condition was present in 6,524,745 estimated discharges during the study period and CKD was present among 3.9% of discharges (96.1% without CKD). Those with CKD had a longer LOS (median of 2.8 [IQR, 1.4-6.0] days compared with 1.8 [IQR, 1.0-4.4] days for those without a CKD diagnosis; P<0.001). Median cost was higher in the CKD group compared with the group without CKD, at $8,755 (IQR, $4,563-18,345) and $5,016 (IQR, $2,860-10,109) per hospitalization, respectively (P<0.001). Presence of CKD was associated with a longer LOS (29.9% [95% CI, 27.2%-32.6%] longer than those without CKD), higher cost (61.3% [95% CI, 57.4%-65.4%] greater than those without CKD), and higher risk for mortality (OR, 1.51 [95% CI, 1.40-1.63]). LIMITATIONS: Lack of access to and adjustment for confounders including patient readmission and laboratory data. CONCLUSIONS: Pediatric CKD was associated with longer LOS, higher costs, and higher risk for mortality compared with hospitalizations with other chronic illnesses. Further studies are needed to better understand the health care needs and delivery of care to hospitalized children with CKD.

Efficacy of a long-term pulmonary rehabilitation maintenance program for COPD patients in a real-life setting: a 5-year cohort study.

BACKGROUND: Pulmonary rehabilitation (PR) improves exercise capacity, health-related quality of life (HRQoL) and dyspnea in chronic obstructive pulmonary disease (COPD) patients. Maintenance programs can sustain the benefits for 12 to 24 months. Yet, the long-term effects (> 12 months) of pragmatic maintenance programs in real-life settings remain unknown. This prospective cohort study assessed the yearly evolution in the outcomes [6-min walking distance (6MWD), HRQoL, dyspnea] of a supervised self-help PR maintenance program for COPD patients followed for 5 years. The aim was to assess the change in the outcomes and survival probability for 1 to 5 years after PR program discharge in COPD patients following a PR maintenance program supported by supervised self-help associations. METHODS: Data were prospectively collected from 144 COPD patients who followed a pragmatic multidisciplinary PR maintenance program for 1 to 5 years. They were assessed yearly for 6MWD, HRQol (VQ11) and dyspnea (MRC). The 5-year survival probability was compared to that of a control PR group without a maintenance program. A trajectory-based cluster analysis identified the determinants of long-term response. RESULTS: Maintenance program patients showed significant PR benefits at 4 years for 6MWD and VQ11 and 5 years for MRC. The 5-year survival probability was higher than for PR patients without PR maintenance. Two clusters of response to long-term PR were identified, with responders being the less severe COPD patients. CONCLUSIONS: This study provides evidence of the efficacy of a pragmatic PR maintenance program in a real-life setting for more than 3 years. In contrast to short-term PR, long-term PR maintenance appeared more beneficial in less severe COPD patients.