bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Pretransplant and New-Onset Diabetes After Transplantation on the Risk of Major Adverse Cardiovascular Events in Kidney Transplant Recipients: A Population-based Cohort Study
Authors: Lim Wai H. , Lok Charmaine E. , Kim S. Joseph , Knoll Greg , Shah Baiju R. , Naylor Kyla , Luo Bin , Vinegar Marlee , Dixon Stephanie N. , Hawley Carmel , Ooi Esther , Viecelli Andrea , Wong Germaine 
Published: February 2021

Background.
Pretransplant diabetes and new-onset diabetes after transplant (NODAT) are known risk factors for vascular events after kidney transplantation, but the incidence and magnitude of the risk of major adverse cardiovascular events (MACE) and cardiac deaths remain uncertain in recent era.

Methods.
A population cohort study of kidney transplant recipients identified using data from linked administrative healthcare databases from Ontario, Canada. The incidence rates of MACE (expressed as events with 95% confidence interval [95% CI] per 1000 person-years were reported according to diabetes status of pretransplant diabetes, NODAT, or no diabetes. Extended Cox regression model was used to examine the association between diabetes status, MACE, and cardiac death.

Results.
Of 5248 recipients, 1973 (38%) had pretransplant diabetes, and 799 (15%) developed NODAT with a median follow-up of 5.5 y. The incidence rates (95% CI) of MACE for recipients with pretransplant diabetes, NODAT, and no diabetes between 1 and 3 y posttransplant were 38.1 (32.1-45.3), 12.6 (6.3-25.2), and 11.8 (9.2-15.0) per 1000 person-years, respectively. Compared with recipients with pretransplant diabetes, recipients with NODAT experienced a lower risk of MACE (adjusted hazard ratio, 0.59; 95% CI, 0.47-0.74) but not cardiac death (adjusted hazard ratio, 0.97; 95% CI, 0.61-1.55). The rate of MACE and cardiac death was lowest in patients without diabetes.

Conclusions.
Patients with pretransplant diabetes incur the greatest rate of MACE and cardiac deaths after transplantation. Having NODAT also bears high burden of vascular events compared with those without diabetes, but the magnitude of the increased rate remains lower than recipients with pretransplant diabetes.
Automated En Masse Machine Learning Model Generation Shows Comparable Performance as Classic Regression Models for Predicting Delayed Graft Function in Renal Allografts
Authors: Jen Kuang-Yu , Albahra Samer , Yen Felicia , Sageshima Junichiro , Chen Ling-Xin , Tran Nam , Rashidi Hooman H. 
Published: February 2021

Background.
Several groups have previously developed logistic regression models for predicting delayed graft function (DGF). In this study, we used an automated machine learning (ML) modeling pipeline to generate and optimize DGF prediction models en masse.

Methods.
Deceased donor renal transplants at our institution from 2010 to 2018 were included. Input data consisted of 21 donor features from United Network for Organ Sharing. A training set composed of ~50%/50% split in DGF-positive and DGF-negative cases was used to generate 400 869 models. Each model was based on 1 of 7 ML algorithms (gradient boosting machine, k-nearest neighbor, logistic regression, neural network, naive Bayes, random forest, support vector machine) with various combinations of feature sets and hyperparameter values. Performance of each model was based on a separate secondary test dataset and assessed by common statistical metrics.

Results.
The best performing models were based on neural network algorithms, with the highest area under the receiver operating characteristic curve of 0.7595. This model used 10 out of the original 21 donor features, including age, height, weight, ethnicity, serum creatinine, blood urea nitrogen, hypertension history, donation after cardiac death status, cause of death, and cold ischemia time. With the same donor data, the highest area under the receiver operating characteristic curve for logistic regression models was 0.7484, using all donor features.

Conclusions.
Our automated en masse ML modeling approach was able to rapidly generate ML models for DGF prediction. The performance of the ML models was comparable with classic logistic regression models.
The role of innate immune genes in Alzheimer's disease
Authors: Griciuc Ana , Tanzi Rudolph E. 
Published: February 2021

Purpose of review
The aim of this study was to provide an update on the role of the innate immune system and neuroinflammation in the pathogenesis of Alzheimer's disease, with an emphasis on microglial receptors CD33 and TREM2.

Recent findings
Genome-wide association studies (GWAS) have identified many Alzheimer's disease risk genes related to immune response and microglia including the phagocytic receptors CD33 and TREM2. Recent GWAS and pathway analyses emphasize the crucial role of the innate immune system and neuroinflammation in the pathogenesis of Alzheimer's disease. Disease-associated microglia have been characterized by TREM2-dependent upregulation of phagocytic and lipid metabolism genes. Impaired microglial phagocytosis results in amyloid beta (Aβ) accumulation leading to neuroinflammation that is the primary cause of neurodegeneration. CD33 and TREM2 modulate neuroinflammation in Alzheimer's disease and have emerged as therapeutic targets in Alzheimer's disease. Progress has been made to inhibit CD33 by gene therapy, small molecules or immunotherapy, and to increase TREM2 activity by immunotherapy. Finally, mAbs against CD33 and TREM2 have entered clinical trials and may reduce neuroinflammation in Alzheimer's disease brain.

Summary
Targeting neuroinflammation via CD33 inhibition and/or TREM2 activation may have important implications for neurodegeneration in Alzheimer's disease and may be an addition to monoclonal anti-Aβ antibody treatments that remove plaques without reducing neuroinflammation.
Prevalence, Risk Factors, and Impact of Preoperative Seizures in Neonates With Congenital Heart Disease
Authors: Pittet Marie P. , Marini Davide , Ly Linh , Au-Young Stephanie H. , Chau Vann , Seed Mike , Miller Steven P. , Hahn Cecil D. 
Published: February 2021

Purpose:
The purpose of this study was to assess the prevalence, risk factors, and impact of electrographic seizures in neonates with complex congenital heart disease before cardiac surgery.

Methods:
A cohort of 31 neonates with congenital heart disease monitored preoperatively with continuous video-EEG (cEEG) was first reviewed for electrographic seizure burden and EEG background abnormalities. Second, cEEG findings were correlated with brain MRI and 18-month outcomes.

Results:
Continuous video-EEG was recorded preoperatively for a median duration of 20.5 hours (range, 2.5–93.5 hours). The five neonates (16%; 95% confidence interval, 5.5% to 34%) with seizures detected on cEEG in the preoperative period had a diagnosis of transposition of the great arteries or similar physiology, detected in four of five postnatally. None of the 157 recorded electrographic seizures had a clinical correlate. The median time to first seizure was 65 minutes (range, 6–300 minutes) after cEEG hookup. The median maximum hourly seizure burden was 12.4 minutes (range, 7–23 minutes). Before the first electrographic seizure, a prolonged interburst interval (>10 seconds) was not associated with seizures (coefficient 1.2; 95% confidence interval, −1.1 to 3.6). MRI brain lesions were three times more common in neonates with seizures. Sharp wave transients on cEEG were associated with delayed opercular development.

Conclusions:
In this cohort, preoperative electrographic seizures were common, were all subclinical, and were associated with MRI brain injury and postnatal diagnosis of transposition of the great arteries. The findings motivate further study of the mechanisms of preoperative brain injury, particularly among neonates with a postnatal diagnosis of transposition of the great arteries.
Future perspectives of robot psychiatry: can communication robots assist psychiatric evaluation in the COVID-19 pandemic era?
Authors: Yoshikawa Yuichiro , Kumazaki Hirokazu , Kato Takahiro A. 
Published: February 2021

Purpose of review
Direct face-to-face interview between a psychiatrist and a patient is crucial in psychiatric evaluation, however, such traditional interviews are becoming difficult to conduct because of the infection risk in the COVID-19 era. As telepsychiatry, video interviews using internet are suggested to be useful to evaluate and assist individuals with mental disorders. However, some patients especially with social phobia, depression, and autism spectrum disorder (ASD) hesitate to use even such face-to-face-like tools. Communication robots have been proposed as future assistant tools for such patients. Herein, we summarize recent advancements in robot psychiatry, and propose the benefits of communication robots in psychiatric evaluation.

Recent findings
Recent studies have suggested that communication robots are effective in assisting people with ASD. As a pilot trial, we herein conducted semi-structured interviews to evaluate depression and hikikomori, a form of pathological social withdrawal, using a communication robot and a psychiatrist, respectively. There was almost identical evaluation between the two. Interestingly, a person with hikikomori answered that the robot was easier to disclose.

Summary
Robots can reduce the burden of human resources and the infection risk in the COVID-19 era. Robot interview is expected to be implemented for future evaluation system in psychiatry.
Urbanization and mental health as a research problem in Latin America (with a focus on Brazil)
Authors: Almeida-Filho Naomar 
Published: February 2021

Purpose of review
The basic hypothesis of this paper is that, in Latin America, the nature of the set of variables or determinants regarding the relationships of urbanization (and correlated processes of social change, modernization, acculturation, and economic inclusion) and mental health varies with the political context or historical phase considered. To assess the validity of the hypothesis, I propose a periodization of the economic, political, and social changes that occurred in Latin America in the past decades.

Recent findings
A brief review of recent studies on social determinants of mental health (with a focus on Brazil), considering research findings by historical context, shows that urbanization–modernization–migration variables were more present in the literature in the decades of 1980 and 1990, whereas social inequity factors (gender, ethnicity/race, and racism) came to be dominant as a research question after the year 2000.

Summary
New approaches of the mental health situation of peripheral societies such as those in the Latin American continent have gone beyond the urban environment as a determinant and start to consider social determination processes and political contexts.
Cancer and schizophrenia
Authors: Nordentoft Merete , Plana-Ripoll Oleguer , Laursen Thomas Munk 
Published: February 2021

Purpose of review
On the basis of articles published in 2018, 2019 and 2020, the first aim of this review is to present estimates of incidence rates and excess mortality of overall cancer and organ-specific cancers for patients with schizophrenia compared with the general population.
The second aim is to explore if underdiagnosis and undertreatment can explain – at least partly – the increased mortality of cancer in patients with schizophrenia compared with the general population.

Recent findings
Patients diagnosed with schizophrenia have an approximately 50% increased risk of death by cancer compared to age and sex-matched people in the general population. Studies have confirmed an increased mortality from breast, lung and colon cancer in patients with schizophrenia.
Analyses of incidence of cancer revealed contradicting results, with some studies showing no increase in incidence and others a modestly increased incidence in overall cancer. Studies of incidence of specific types of cancers showed modestly increased risk of pancreas, oesophagus, breast cancer and contradicting results regarding lung cancer.
In studies identified that compared to the general population, patients with schizophrenia were at an increased risk of not being diagnosed or treated for cancer before death of cancer. In addition, patients with schizophrenia had lower chances of getting optimal treatment for colon cancer after diagnosis.

Summary
This review indicates that patients with schizophrenia are at increased risk of dying of cancer and of several specific types of cancer. This increased mortality can be reduced if the price of tobacco is increased, if smoking cessation programmes are offered systematically, screening programs better implemented in this highly vulnerable group, and if procedures to facilitate access to early diagnosis and effective treatment are implemented.
Estrogens in schizophrenia: progress, current challenges and opportunities
Authors: Brand Bodyl A. , de Boer Janna N. , Sommer Iris E.C. 
Published: February 2021

Purpose of review
Schizophrenia is a heterogeneous psychiatric disorder with a different, but not necessarily milder clinical presentation in women as compared to men. These sex differences have largely been attributed to the protective role of estrogens. This article reviews the current state of estrogen research in schizophrenia.

Recent findings
Estrogens regulate important pathophysiological pathways in schizophrenia, including dopamine activity, mitochondrial function, and the stress system. Estrogen deficiency is common in both sexes and is associated with increases in psychotic symptoms. Hyperprolactinemia causes secondary estrogen deficiency and can be a reaction to stress, or secondary to prolactin-raising antipsychotics. Therefore, prolactin-sparing antipsychotics should be preferred especially in premenopausal women, who are more prone to hyperprolactinemia. Premenopausal women furthermore require lower doses of antipsychotics than men, since estrogens raise the availability and efficacy of antipsychotics.

Summary
The past years have established the importance of estrogens in the pathophysiology of schizophrenia and have shown its relevance to clinical practice through its influence on antipsychotic drug efficacy. Future research should focus on the neurobiological and clinical effect of contraceptives in premenopausal women with schizophrenia. Furthermore, the potential of estrogen-like augmentation with raloxifene and phytoestrogens in schizophrenia should be established in the coming years.
Obesity and COVID-19 Mortality A Cross-Country Analysis
Authors: De Giorgi Giacomo , Michalik Felix 
Published: February 2021

AbstractWe highlight a robust correlation between COVID-19 mortality and obesity prevalence using available country level data on COVID-19 mortality as of August 10, 2020. Such association is robust to controlling for other potential comorbidity factors: diabetes, cardio-vascular, and respiratory diseases, further to a set of demographics, urban, and economic, and containment policies controls. We estimate that .6 log point increase in obesity prevalence, or 1 standard deviation, is associated with about an extra .9 log point per 100,000 deaths (or 50% of a standard deviation, .5σ).
Identifying intergenerational risk factors for ADHD symptoms using polygenic scores in the Norwegian Mother, Father and Child Cohort
Authors: Pingault Jean-Baptiste , Barkhuizen Wikus , Wang Biyao , Hannigan Laurie J. , Eilertsen Espen Moen , Andreassen Ole A. , Ask Helga , Tesli Martin , Askeland Ragna Bugge , Smith George Davey , Davies Neil , Reichborn-Kjennerud Ted , Ystrom Eivind , Havdahl Alexandra 
Published: February 2021

AbstractImportanceKnowledge of the mechanisms underlying the intergenerational transmission of risk for attention-deficit/hyperactivity disorder (ADHD) symptoms can inform psychosocial interventions.ObjectiveTo investigate whether parental genetic risk factors associate with their children’s ADHD symptoms due to genetic transmission of risk or due to parental genetic liability that influences offspring ADHD via parenting environments (genetic nurture).Design and participantsThis study is based on the Norwegian Mother, Father and Child Cohort Study and uses data from the Medical Birth Registry of Norway. This prospective cohort study consisted of 5,405 mother-father-offspring trios recruited between 1999 – 2008.ExposuresWe calculated polygenic scores for parental traits previously associated with ADHD, including psychopathology, substance use, neuroticism, educational attainment and intellectual ability.Main outcomes and measuresMothers reported on their 8-year-old children’s ADHD symptoms using the Parent/Teacher Rating Scale for Disruptive Behavior Disorders.ResultsMaternal polygenic scores for ADHD, autism spectrum disorder (ASD), neuroticism and smoking predicted child ADHD symptoms in bivariate analyses. After jointly modelling maternal, paternal and child polygenic scores, ADHD symptoms were predicted by children’s polygenic scores for ADHD (β = 0.10; 95% CI 0.07 to 0.14), smoking (β = 0.07; 95% CI 0.03 to 0.10) and educational attainment (β = −0.09; 95% CI −0.13 to −0.05), indicating direct genetic transmission of risk. Mothers’ polygenic scores for ASD (β = 0.05; 95% CI 0.02 to 0.08) and neuroticism (β = 0.05; 95% CI 0.01 to 0.08) predicted children’s ADHD symptoms conditional on fathers’ and children’s scores, implicating genetic nurture, or effects due to population stratification or assortative mating.ConclusionsThese results suggest that associations between some parental traits and offspring ADHD symptoms likely reflect a nuanced mix of direct genetic transmission (ADHD, smoking and educational attainment) and genetic nurture (ASD and neuroticism). If confirmed, these findings support previous evidence that maternal ASD or neuroticism may be possible targets for intervention to help break the chain of the intergenerational transmission of ADHD risk.
Mortality after surgery with SARS-CoV-2 infection in England: A population-wide epidemiological study
Authors: Abbott T. E. F. , Fowler A. J. , Dobbs T. D. , Gibson J. , Shahid T. , Dias P. , Akbari A. , Whitaker I. S. , Pearse R. M. 
Published: February 2021

AbstractObjectivesTo confirm the incidence of perioperative SARS-CoV-2 infection and associated mortality after surgery.Design and settingAnalysis of routine electronic health record data from National Health Service (NHS) hospitals in England.MethodsWe extracted data from Hospital Episode Statistics in England describing adult patients undergoing surgery between 1st January 2020 and 31st October 2020. The exposure was SARS-CoV-2 infection defined by ICD-10 codes. The primary outcome measure was 90-day in-hospital mortality. Data were analysed using multivariable logistic regression adjusted for age, sex, Charlson co-morbidity index, index of multiple deprivation, presence of cancer, surgical procedure type and admission acuity. Results are presented as n (%) and odds ratios (OR) with 95% confidence intervals.ResultsWe identified 1,972,153 patients undergoing surgery of whom 11,940 (0.6%) had SARS-CoV-2. In total, 19,100 (1.0%) patients died in hospital. SARS-CoV-2 infection was associated with a much greater risk of death (SARS-CoV-2: 2,618/11,940 [21.9%] vs No SARS-CoV-2: 16,482/1,960,213 [0.8%]; OR: 5.8 [5.5 – 6.1]; p<0.001). Amongst patients undergoing elective surgery 1,030/1,374,985 (0.1%) had SARS-CoV-2 of whom 83/1,030 (8.1%) died, compared with 1,092/1,373,955 (0.1%) patients without SARS-CoV-2 (OR: 29.0 [22.5 −37.3]; p<0.001). Amongst patients undergoing emergency surgery 9,742/437,891 (2.2%) patients had SARS-CoV-2, of whom 2,466/9,742 (25.3%) died compared with 14,817/428,149 (3.5%) patients without SARS-CoV-2 (OR: 5.7 [5.4 – 6.0]; p<0.001).ConclusionsThe low incidence of SARS-CoV-2 infection in NHS surgical pathways suggests current infection prevention and control policies are highly effective. However, the high mortality amongst patients with SARS-CoV-2 suggests these precautions cannot be safely relaxed.Summary boxesWhat is already known on this topicHigh mortality rates have been reported amongst surgical patients who develop COVID-19 but we don’t know how this compares to the concurrent surgical population unaffected by COVID-19.Strict infection prevention and control procedures have substantially reduced the capacity of surgical treatment pathways in many hospitals.The very large backlog in delayed and cancelled surgical procedures is a growing public health concern.What this study addsFewer than 1 in 100 surgical patients are affected by COVID-19 in the English National Health Service.Elective surgical patients who do develop COVID-19 are 30 times more likely to die while in hospital.Infection prevention and control procedures in NHS surgical pathways are highly effective but cannot be safely relaxed.
Neuropsychiatric and cognitive symptoms across the Alzheimer’s disease clinical spectrum: Cross-sectional and longitudinal associations
Authors: Eikelboom Willem S. , van den Berg Esther , Singleton Ellen , Baart Sara J. , Coesmans Michiel , Leeuwis Annebet E. , Teunissen Charlotte E. , van Berckel Bart N.M. , Pijnenburg Yolande A.L. , Scheltens Philip , van der Flier Wiesje M. , Ossenkoppele Rik , Papma Janne M. 
Published: February 2021

ABSTRACTObjectiveTo investigate the prevalence and trajectories of neuropsychiatric symptoms (NPS) in relation to cognitive functioning in a cohort of amyloid-β positive individuals across the Alzheimer’s disease (AD) clinical spectrum.MethodsWe included 1,524 amyloid-β positive individuals from the Amsterdam Dementia Cohort with subjective cognitive decline (SCD, n=113), mild cognitive impairment (MCI, n=321), or dementia (n=1,090). We measured NPS with the neuropsychiatric inventory (NPI), examining total scores and the presence of specific NPI-items. Cognition was assessed across five cognitive domains and with the MMSE. We examined trajectories including model based trends for NPS and cognitive functioning over time. We used linear mixed models to relate baseline NPI scores to cognitive functioning at baseline (whole-sample) and longitudinal time-points (subsample n=520, Mean=1.8 [SD=0.7] years follow-up).ResultsNPS were prevalent across all clinical AD stages (NPI total score ≥1 81.4% in SCD, 81.2% in MCI, 88.7% in dementia). Cognitive functioning showed an uniform gradual decline; while in contrast, large intra-individual heterogeneity of NPS was observed over time across all groups. At baseline, we found associations between NPS and cognition in dementia that were most pronounced for NPI total scores and MMSE (range β:-0.18–0.11, FDR-adjusted p<0.05), while there were no cross-sectional relationships in SCD and MCI (β:-0.32– 0.36, FDR-adjusted p>0.05). There were no associations between baseline NPS and cognitive functioning over time in any clinical stage (β:-0.13–0.44, FDR-adjusted p>0.05).ConclusionNPS and cognitive symptoms are both prevalent across the AD continuum, but show a different evolution during the course of the disease.