bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is the frequency of imaging markers still a predictor for revised intracerebral hemorrhage expansion?
Authors: Song Lei , Zhou Hang , Cheng Jun , Guo Wenmin , Ye Yu , Wang Rujia , Chen Jiao , Xiong Hui , Zhang Ji , Tang Dongfang , Zou Liwei , Kuang Lianghong , Qiu Xiaoming , Guo Tingting 
Published: January 2024

Introduction: Frequency of imaging markers (FIM) has been described as a novel predictor for hematoma expansion after intracerebral hemorrhage (ICH). A revised definition of hematoma expansion that incorporates intraventricular hemorrhage (IVH) growth, that is, revised hematoma expansion (RHE), has also been proposed. Nevertheless, the associations between FIM and IVH growth or RHE remains unexplored. The objective of this study was to assess the influence and performance of the FIM on two types. Materials and Methods: Patient selection and variables were based on our published protocol. FIM was defined as the ratio of the number of imaging markers to the onset-to-neuroimaging time. The association between FIM and two definitions was tested by multivariate analysis. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the FIM on two definitions were also evaluated. Results: There were 303 (20.36%) and 583 (39.18%) subjects in the IVH growth and RHE, respectively. Multivariate analysis demonstrated that FIM was associated with both IVH growth and RHE (odds ratio [OR] = 1.96, 95% confidence interval [CI] = 1.60–2.39; OR = 15.01, 95% CI = 10.51–21.43, respectively). The optimal cutoff points for FIM to predict IVH growth and RHE were 0.63 and 0.62, with AUC, sensitivity, specificity, PPV, and NPV of 0.66, 0.50, 0.78, 0.36, and 0.86 versus 0.80, 0.60, 0.93, 0.84, and 0.78, respectively. Discussion and Conclusion: FIM was not only a predictor of IVH growth, but also of RHE. These findings may have important clinical implications for decision-making based on risk stratification of patients with ICH.
Retrospective Analysis of Trends of Zygomaticomaxillary Complex Fractures in Patients Reporting to a Tertiary Health Center—Our Experience
Authors: Soni Dharang , Mahajan Amit , Dholabhai Pratesh , Panchal Krishna 
Published: January 2024

Methods: A six years retrospective observational study was conducted on 183 patients with Zygomaticomaxillary complex (ZMC) fractures. We analyzed prevalence of age, gender distribution, etiology, location and mode of treatment. Results: In our study, the mean age was 33±14.5, gender distribution 68% males and 32% females, etiology of ZMC fractures was 114 road traffic accident (RTA), 44 falls, 12 sports injuries, five interpersonal violence, four animal bites, and four work-related. Results show that the treatment options applied are 37 conservative management and 146 open reduction internal fixation. Conclusion: In this study, male predilection to ZMC fractures was seen, RTA being the most common etiology and the most common site of fracture was Zygomaticomaxillary buttress region. There are different treatment protocols for the management of ZMC fractures. In our study, two-point fixation was the most common (35%). Concluding upon our experience and the results derived from our study, various methods are used to stabilize zygomaticomaxillary complex fractures. Relying upon the characteristics of the fracture, open reduction and internal fixation with mini plates is the most reliable modality providing three-dimensional stability.
The association of self-perceived changes due to COVID-19 with mental and physical health among adult primary care patients with multiple chronic conditions: A US-based longitudinal study
Authors: Bonnell Levi N , Clifton Jessica , Natkin Lisa W , Hitt Juvena R , Littenberg Benjamin 
Published: January 2024

Introduction This study explores the association between self-perceived personal and community changes due to COVID-19 and health among vulnerable primary care patients experiencing multiple chronic conditions. Methods Between September 2017 and February 2021, we obtained data from 2,426 primary care patients managing multiple chronic conditions from across the United States. We assessed the relationship between self-perceived personal and community changes due to COVID-19 and change in health measured by the PROMIS-29 mental and physical health summary scores, GAD-7 (anxiety), andPHQ-9 (depression), and DASI (functional capacity) adjusting for relevant demographic, neighborhood characteristics, and county covariates. Results After adjustment, self-perceived personal and community changes due to COVID-19 were associated with significantly worse mental health summary scores (ß = -0.55; 95% Confidence Interval (CI) = -0.72, -0.37), anxiety (ß = 0.28; 95% CI = 0.16, 0.39), depression (ß = 0.35; 95% CI = 0.22, 0.47), and physical health summary scores (ß = -0.44; 95% CI = 0.88, 0.00). There was no association with functional capacity (ß = - 0.05; 95% CI = -0.16, 0.05). Discussion Among adults managing multiple chronic conditions, self-perceived personal and community changes due to COVID-19 were associated with health. This vulnerable population may be particularly susceptible to the negative effects of COVID-19. As we do not know the long-term health effects of COVID, this paper establishes a baseline of epidemiological data on COVID-19 burden and health among primary care patients with multiple chronic conditions.
A phase 1-2 trial of DA-EPOCH-R plus ixazomib for MYC-aberrant lymphoid malignancies: the DACIPHOR regimen
Authors: Karmali Reem , Galvez Carlos , Hamadani Mehdi , Gordon Leo , Winter Jane , Ma Shuo , Nelson Valerie , Fenske Timothy S. , Shah Nirav N. , Jagadeesh Deepa , Klein Andreas , Helenowski Irene , Chen Ruohui , Mi Xinlei , Petrich Adam , Evens Andrew M. , Pro Barbara 
Published: January 2024

Abstract
MYC-aberrant non-Hodgkin lymphoma (NHL) is associated with poor outcomes with conventional chemotherapy. Ixazomib is an orally bioavailable proteasome inhibitor that targets drivers of MYC expression and has demonstrated preclinical activity in aggressive MYC-aberrant NHL. We conducted a phase 1/2 study evaluating the safety and efficacy of DA-EPOCH-R with adjunctive ixazomib in aggressive MYC-aberrant NHL. For induction, patients received 6 cycles of DA-EPOCH-R with ixazomib administered twice per 21-day cycle; responders continued weekly ixazomib maintenance for up to 1 year. Primary objectives were to determine the maximum tolerated dose in phase 1 and efficacy of DA-EPOCH-R with ixazomib as measured by 12-month progression-free survival (PFS) rate in phase 2. Thirty-six patients were evaluable for response. Median age was 63 years (range, 31-77) and 44% had double-hit lymphoma (DHL)/triple-hit lymphoma (THL). In phase 1, 3 mg of ixazomib was established as recommended phase 2 dose. Twenty-nine (76.3%) patients completed 6 cycles of DA-EPOCH-R and 25 (65.8%) underwent dose escalations. The ORR after induction was 97% (95% confidence interval, 81-100) with a CR rate of 69%. At median follow-up of 18.8 months, the 12-month PFS and overall survival (OS) rates were 78% and 86%, respectively. For DHL/THL vs dual expressor lymphomas (DEL), 12-month PFS rates were 53% vs 95% and 12-month OS rates were 65% vs 100%, respectively. Grade ≥3 toxicities were predominantly hematologic. Twenty-seven (75%) of patients experienced neuropathy, nearly all low-grade. DA-EPOCH-R induction with adjunctive ixazomib is feasible and appears effective in patients with DEL. This trial was registered at www.clinicaltrials.gov as #NCT02481310.
Novel GNE missense variants impair de novo sialylation and cause defective angiogenesis in the developing brain in mice
Authors: Huang Lulu , Kondo Yuji , Cao Lijuan , Han Jingjing , Li Tianyi , Zuo Bin , Yang Fei , Li Yun , Ma Zhenni , Bai Xia , Jiang Miao , Ruan Changgeng , Xia Lijun 
Published: January 2024

Abstract
Glucosamine (UDP-N-acetyl)-2-epimerase and N-acetylmannosamine (ManNAc) kinase (GNE) is a cytosolic enzyme in de novo sialic acid biosynthesis. Congenital deficiency of GNE causes an autosomal recessive genetic disorder associated with hereditary inclusion body myopathy and macrothrombocytopenia. Here, we report a pediatric patient with severe macrothrombocytopenia carrying 2 novel GNE missense variants, c.1781G&gt;A (p.Cys594Tyr, hereafter, C594Y) and c.2204C&gt;G (p.Pro735Arg, hereafter, P735R). To investigate the biological significance of these variants in vivo, we generated a mouse model carrying the P735R mutation. Mice with homozygous P735R mutations exhibited cerebral hemorrhages as early as embryonic day 11 (E11), which subsequently progressed to large hemorrhages in the brain and spinal cord, and died between E11.5 and E12.5. Defective angiogenesis such as distended vascular sprouts were found in neural tissues and embryonic megakaryocytes were abnormally accumulated in the perineural vascular plexus in mutant mouse embryos. Furthermore, our in vitro experiments indicated that both C594Y and P735R are loss-of-function mutations with respect to de novo sialic acid biosynthesis. Overall, this study reveals a novel role for GNE-mediated de novo sialic acid biosynthesis in mouse embryonic angiogenesis.
von Willebrand factor/factor VIII concentrate (Wilate) prophylaxis in children and adults with von Willebrand disease
Authors: Sidonio Robert F. , Boban Ana , Dubey Leonid , Inati Adlette , Kiss Csongor , Boda Zoltan , Lissitchkov Toshko , Nemes Laszlo , Novik Dzmitry , Peteva Elina , Taher Ali T. , Timofeeva Margarita Arkadevna , Vilchevska Kateryna V. , Vdovin Vladimir , Werner Sylvia , Knaub Sigurd , Djambas Khayat Claudia 
Published: January 2024

Abstract
Long-term prophylaxis with a von Willebrand factor (VWF) concentrate is recommended in patients with von Willebrand disease (VWD) who have a history of severe and frequent bleeds. However, data from prospective studies are scarce. WIL-31, a prospective, noncontrolled, international phase 3 trial, investigated the efficacy and safety of Wilate prophylaxis in severe patients with VWD. Male and female patients 6 years or older with VWD types 1, 2 (except 2N), or 3 who had completed a prospective, 6-month, on-demand, run-in study (WIL-29) were eligible to receive Wilate prophylaxis for 12 months. At baseline, patients (n = 33) had a median age of 18 years. Six (18%) patients had severe type 1, 5 (15%) had type 2, and 22 (67%) had type 3 VWD. The primary end point of a &gt;50% reduction in mean total annualized bleeding rate (TABR) with Wilate prophylaxis vs prior on-demand treatment was met; mean TABR during prophylaxis was 5.2, representing an 84.4% reduction. The bleeding reduction was consistent across age, sex, and VWD types. The mean spontaneous ABR was 3.2, representing an 86.9% reduction vs on-demand treatment. During prophylaxis, 10 (30.3%) patients had 0 bleeding events and 15 (45.5%) patients had 0 spontaneous bleeding events. Of 173 BEs, 84.4% were minor and 69.9% treated. No serious adverse events related to study treatment and no thrombotic events were recorded. Overall, WIL-31 showed that Wilate prophylaxis was efficacious and well-tolerated in pediatric and adult patients with VWD of all types. The WIL-29 and WIL-31 trials were registered at www.ClinicalTrials.gov as #NCT04053699 and #NCT04052698, respectively.
PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Authors: Sturgill David , Wang Li , Arda H. Efsun 
Published: January 2024

Abstract
Background
The human pancreas is composed of specialized cell types producing hormones and enzymes critical to human health. These specialized functions are the result of cell type-specific transcriptional programs which manifest in cell-specific gene expression. Understanding these programs is essential to developing therapies for pancreatic disorders. Transcription in the human pancreas has been widely studied by single-cell RNA technologies, however the diversity of protocols and analysis methods hinders their interpretability in the aggregate.

Results
In this work, we perform a meta-analysis of pancreatic single-cell RNA sequencing data. We present a database for reference transcriptome abundances and cell-type specificity metrics. This database facilitates the identification and definition of marker genes within the pancreas. Additionally, we introduce a versatile tool which is freely available as an R package, and should permit integration into existing workflows. Our tool accepts count data files generated by widely-used single-cell gene expression platforms in their original format, eliminating an additional pre-formatting step. Although we designed it to calculate expression specificity of pancreas cell types, our tool is agnostic to the biological source of count data, extending its applicability to other biological systems.

Conclusions
Our findings enhance the current understanding of expression specificity within the pancreas, surpassing previous work in terms of scope and detail. Furthermore, our database and tool enable researchers to perform similar calculations in diverse biological systems, expanding the applicability of marker gene identification and facilitating comparative analyses.
Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction
Authors: Li Guanghui , Bai Peihao , Liang Cheng , Luo Jiawei 
Published: January 2024

Abstract
Background
Long noncoding RNAs (lncRNAs) are integral to a plethora of critical cellular biological processes, including the regulation of gene expression, cell differentiation, and the development of tumors and cancers. Predicting the relationships between lncRNAs and diseases can contribute to a better understanding of the pathogenic mechanisms of disease and provide strong support for the development of advanced treatment methods.

Results
Therefore, we present an innovative Node-Adaptive Graph Transformer model for predicting unknown LncRNA-Disease Associations, named NAGTLDA. First, we utilize the node-adaptive feature smoothing (NAFS) method to learn the local feature information of nodes and encode the structural information of the fusion similarity network of diseases and lncRNAs using Structural Deep Network Embedding (SDNE). Next, the Transformer module is used to capture potential association information between the network nodes. Finally, we employ a Transformer module with two multi-headed attention layers for learning global-level embedding fusion. Network structure coding is added as the structural inductive bias of the network to compensate for the missing message-passing mechanism in Transformer. NAGTLDA achieved an average AUC of 0.9531 and AUPR of 0.9537 significantly higher than state-of-the-art methods in 5-fold cross validation. We perform case studies on 4 diseases; 55 out of 60 associations between lncRNAs and diseases have been validated in the literatures. The results demonstrate the enormous potential of the graph Transformer structure to incorporate graph structural information for uncovering lncRNA-disease unknown correlations.

Conclusions
Our proposed NAGTLDA model can serve as a highly efficient computational method for predicting biological information associations.
Relationship between methylenetetrahydrofolate reductase C677T gene polymorphism and neutrophil gelatinase-associated lipocalin in early renal injury in H-type hypertension
Authors: Zhang Chi , Xin Qiu-Ping , Xie Yun-BO , Guo Xiang-Yu , Xing En-Hong , Dou Zhi-Jie , Zhao Cui 
Published: January 2024

Abstract
Objective
To analyse the relationship between the polymorphisms of the H-type hypertensive methylenetetrahydrofolate reductase (MTHFR) C677T gene and neutrophil gelatinase-associated lipocalin (NGAL) in early kidney injury.

Method
A total of 279 hospitalised patients with hypertension were selected and grouped according to their homocysteine (Hcy) level. If their blood Hcy level was ≥ 10 µmol/L they were assigned to the H-type hypertensive group, and if it was < 10 µmol/L they were assigned to the non-H-type hypertensive group. Blood lipid indexes, renal function indexes and blood glucose indexes were collected, and the differences between the two groups were compared. Furthermore, MTHFR C677T genotype distribution and allele frequency and Hcy level of MTHFR C677T genotype were compared, and logistic multiple regression analysis was conducted for the correlation of different genotypes of MTHFR C677T and the early kidney injury marker NGAL.

Results
In the non-H-type hypertensive group, the levels of Hcy and NGAL, cystatin, blood urea nitrogen, serum creatinine, uric acid, serum β2-microglobulin and urinary microalbumin-to-creatinine ratio increased significantly, and the glomerular filtration rate level decreased significantly, when compared with the H-type hypertensive group, with statistical differences (p < 0.05). The H-type hypertensive group and the non-H-type hypertensive group had significant differences in the CC, CT and TT genotypes and allele frequencies at the MTHFR C677T locus. The MTHFR C677T gene mutation rate of the H-type hypertensive group was significantly higher than that of the non-H-type hypertensive group. The H-type hypertensive group had higher levels of the TT genotype and CT genotype Hcy. There was a statistical difference (p < 0.05).

Conclusion
Methylenetetrahydrofolate reductase C677T polymorphism is correlated with the Hcy level, and its gene polymorphism will affect the Hcy level. Methylenetetrahydrofolate reductase C677T polymorphism has an interactive effect with NGAL. Screening NGAL and reducing Hcy levels are valuable methods for the prevention and treatment of early renal injury in patients with H-type hypertension and help improve the prognosis of patients and their quality of life.
A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records
Authors: Li Qiuying , Li Jiaxin , Chen Jiansong , Zhao Xu , Zhuang Jian , Zhong Guoping , Song Yamin , Lei Liming 
Published: January 2024

Abstract
Background
Previous models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine learning-based prediction model for postoperative delirium (POD) in cardiac valve surgery patients.

Methods
The electronic medical information of the cardiac surgical intensive care unit (CSICU) was extracted from a tertiary and major referral hospital in southern China over 1 year, from June 2019 to June 2020. A total of 507 patients admitted to the CSICU after cardiac valve surgery were included in this study. Seven classical machine learning algorithms (Random Forest Classifier, Logistic Regression, Support Vector Machine Classifier, K-nearest Neighbors Classifier, Gaussian Naive Bayes, Gradient Boosting Decision Tree, and Perceptron.) were used to develop delirium prediction models under full (q = 31) and selected (q = 19) feature sets, respectively.

Result
The Random Forest classifier performs exceptionally well in both feature datasets, with an Area Under the Curve (AUC) of 0.92 for the full feature dataset and an AUC of 0.86 for the selected feature dataset. Additionally, it achieves a relatively lower Expected Calibration Error (ECE) and the highest Average Precision (AP), with an AP of 0.80 for the full feature dataset and an AP of 0.73 for the selected feature dataset. To further evaluate the best-performing Random Forest classifier, SHAP (Shapley Additive Explanations) was used, and the importance matrix plot, scatter plots, and summary plots were generated.

Conclusions
We established machine learning-based prediction models to predict POD in patients undergoing cardiac valve surgery. The random forest model has the best predictive performance in prediction and can help improve the prognosis of patients with POD.
Willingness and influencing factors of old-age care mode selection among middle-aged and older adults in Henan Province, China
Authors: Ren Weicun , He Ruibo , Tarimo Clifford Silver , Sun Lei , Wu Jvxiao , Zhang Liang 
Published: January 2024

Abstract
Background
The choice of old-age care methods or places plays an important role in improving the quality of life and well-being of older adults. This study aimed to analyze the choices of various old-age care modes (OCMs) among middle-aged and older adults (MOA) aged 40 years and older in Henan Province, China, and to explore the influence of personal health status, perspectives on old-age (POA) and external support received on their choices.

Methods
This study analyzed the data from the previous survey which included 911 MOA. The mean comparison method was used to analyze the evaluation of MOA prior to selecting OCMs, and the effect of individual characteristics, external support received, and personal health status on the choice of OCM for MOA was assessed by Logistic regression (LR) and Concentration Index. The Mediation Effect Model was used to explore effect manner and scope of MOA’ POA in their choice of OCM.

Results
The overall scores for MOA on the choice of the home-based, community-family, retirement village, nursing homes OCM were 4.06 ± 0.81, 3.70 ± 0.88, 3.72 ± 0.90, 3.49 ± 0.97, respectively. The LR model indicated that education level, number of children, relationship between family members and the relationship with neighbors affected the choice of OCM for MOA (P < 0.05). Difference in OCM selection was relatively the largest based on the individual’s POA (Concentration index = -0.0895 ~ -0.0606), and it was shown to play a mediating role in other factors influencing the choice of OCM for MOA (Mediation effect = -0.002 ~ 0.013).

Conclusions
The evaluation of MOA on choosing a non-home OCM was generally, and the number of children and external support received were shown to have a relatively substantial impact on the choice of OCM among MOA, however, their power was affected by MOA’ POA. Policy makers could encourage the MOA’ selection of non-home OCM by improving the relationship among MOA persons while positively transforming their POA.
The association between sarcopenia and incident of depressive symptoms: a prospective cohort study
Authors: Li Zhenzhen , Liu Bingqing , Tong Xiang , Ma Yao , Bao Ting , Yue Jirong , Wu Chenkai 
Published: January 2024

Abstract
Background
Epidemiological studies have shown that sarcopenia was associated with depression among older adults. However, most of these investigations used a cross-sectional design, limiting the ability to establish a causal relation, the present study examined whether sarcopenia was associated with incident depressive symptoms.

Methods
This is a prospective cohort study with participants from the Western China Health and Aging Trends (WCHAT) study. Participants could complete anthropometric measurements and questionnaires were included. The exposure was sarcopenia, defined according to the Asian Working Group for Sarcopenia in 2019, the outcome was depressive symptoms, evaluated by GDS-15. We excluded depression and depressive symptoms at baseline and calculated the risk of incident depressive symptoms during the follow-up year.

Results
A total of 2612 participants (mean age of 62.14 ± 8.08 years) were included, of which 493 with sarcopenia. 78 (15.82%) participants with sarcopenia had onset depressive symptoms within the next year. After multivariable adjustment, sarcopenia increased the risk of depressive symptoms (RR = 1.651, 95%CI = 1.087–2.507, P = 0.0187) in overall participants. Such relationship still exists in gender and sarcopenia severity subgroups. Low muscle mass increased the risk of depressive symptoms (RR = 1.600, 95%CI = 1.150–2.228, P = 0.0053), but low muscle strength had no effect (RR = 1.250, 95%CI = 0.946–1.653, P = 0.117).

Conclusions
Sarcopenia is an independent risk factor for depressive symptoms, Precautions to early detect and targeted intervene for sarcopenia should continue to be employed in adult with sarcopenia to achieve early prevention for depression and reduce the incidence of adverse clinical outcomes.