bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Adverse Events Associated With Acitretin Treatment of Moderate-to-Severe Plaque Psoriasis: Based on an Observational, Single-Center Study in Shanghai, China
Authors: Zhong Xiao-Yuan , Li Ying , Ma Rui , Wang Xin , Yu Ying-Yuan , Yu Ning , Ding Yang-Feng , Lu Jia-Jing , Shi Yu-Ling 
Published: June 2023

Objective:
Acitretin is a widely used systemic retinoid that is to treat psoriasis but has significant variations in efficacy and adverse events (AEs) among individuals. This study aimed to determine the impact of AEs associated with acitretin treatment of moderate-to-severe plaque psoriasis on the Dermatology Life Quality Index (DLQI) and Hospital Anxiety and Depression Scale (HADS) scores.

Methods:
This prospective, observational, single-center study was conducted from March 2021 to June 2022 and analyzed 116 patients with moderate-to-severe plaque psoriasis treated with acitretin who were followed up for 12 weeks. The primary outcome was the incidence of AEs related to acitretin, and the secondary objective was to investigate the effect of AEs on the DLQI and HADS scores. The generalized linear models were used to assess the association between AEs related to acitretin and DLQI scores or HADS scores, and the association between the involved system/tissue and DLQI scores or HADS scores.

Results:
A final total of 45 patients were included in the analysis, and a total of 157 treatment-related AEs involving nine organs or systems were reported in 41 patients. The most common AE was skin- or mucosa-related, with 72 cumulative events in 31 patients. AEs also commonly affected the endocrine, digestive, and genitourinary systems. Compared with the group with 0–2 AEs, the group with 3–5 AEs had a significantly increased DLQI score by 5.49 points (95% CI, 1.47–9.51) (P = 0.0089). Compared with AEs involving 0 to 1 system, AEs affecting 2 to 3 systems resulted in a significant increase in the DLQI score by 5.75 points (95% CI, 1.67–9.83) (P = 0.0071). Generalized linear models showed no statistically significant associations between AEs and the HADS scores.

Conclusion:
Our study demonstrates a high incidence of acitretin-related AEs. These AEs may affect quality of life but rarely cause psychological problems such as anxiety and depression.
The use of tissue clearing to study renal transport mechanisms and kidney remodelling
Authors: Saritas Turgay 
Published: June 2023

Purpose of review
Tissue clearing enables examination of biological structures at subcellular resolution in three dimensions. It uncovered the spatial and temporal plasticity of multicellular kidney structures that occur during homeostatic stress. This article will review the recent development in tissue clearing protocols and how it facilitated the study of renal transport mechanisms and remodelling of the kidney.

Recent findings
Tissue clearing methods have evolved from primarily labelling proteins in thin tissue or individual organs to visualizing both RNA and protein simultaneously in whole animals or human organs. The use of small antibody fragments and innovative imaging techniques improved immunolabelling and resolution. These advances opened up new avenues for studying organ crosstalk and diseases that affect multiple parts of the organism. Accumulating evidence suggests that tubule remodelling can occur rapidly in response to homeostatic stress or injury, allowing for adjustments in the quantitative expression of renal transporters. Tissue clearing helped to better understand the development of tubule cystogenesis, renal hypertension and salt wasting syndromes, and revealed potential progenitor cells in the kidney.

Summary
The continued evolution and improvement of tissue clearing methods can help to gain deep biological insights into the structure and function of the kidney, which will have clinical implications.
Traumatic Experiences and Obsessive-Compulsive Symptoms
Authors: Santoro Gianluca , Sideli Lucia , Gugliemucci Fanny , Terrone Grazia , Schimmenti Adriano 
Published: June 2023

Abstract
Accumulating evidence suggests that obsessive-compulsive symptoms (OCSs) are positively associated with exposure to traumatic experiences and dissociative symptoms in both clinical and community samples. The current study was aimed at investigating the relationships between traumatic experiences, dissociation, and OCSs. A sample of 333 community adults (56.8% females) aged from 18 to 56 years (mean [SD], 25.64 [6.70] years) completed measures on traumatic experiences, dissociative symptoms, and OCSs. A structural equation modeling (SEM) framework was used to test if dissociative symptoms mediated the relationship between traumatic experiences and OCSs. SEM analyses showed that dissociation fully mediated the predictive association between traumatic experiences of emotional neglect and abuse and OCSs in the sample. Accordingly, some individuals suffering from OCSs might benefit from clinical interventions aimed at processing and integrating traumatic experiences.
The Impact of Family Functioning on Help-Seeking Behavior and Symptom Severity in Obsessive-Compulsive Disorder
Authors: Swisher Valerie S. , Ricketts Emily J. , Rogers Steven A. 
Published: June 2023

Abstract
Poor family functioning is associated with higher symptom severity in pediatric obsessive-compulsive disorder (OCD) and delayed help-seeking behavior in other forms of psychopathology. However, little is known about the impact of family functioning on help-seeking behavior and symptom severity in adults with OCD. The present study investigated the association between family functioning and both treatment delay and symptom severity in adults with obsessive-compulsive symptoms. Participants were 194 adults who self-identified as having OCD and completed an internet survey, including measures assessing family functioning, obsessive-compulsive symptom severity, help-seeking behavior, and depression symptom severity. Poorer family functioning was associated with higher obsessive-compulsive and depression symptom severity, after controlling for significant demographic variables. With respect to domains of family functioning, poorer general functioning, problem solving, communication skills, role functioning, affective involvement, and affective responsiveness were associated with higher obsessive-compulsive and depression symptom severity, after controlling for demographics. Poorer problem solving and communication were not significantly associated with treatment delay after controlling for demographics. Findings highlight the need for family intervention within the treatment framework for adult OCD and suggest targets (e.g., communication) to be addressed.
Spiritually Integrated Cognitive Processing Therapy for Moral Injury in the Setting of PTSD
Authors: O'Garo Keisha-Gaye N. , Koenig Harold G. 
Published: June 2023

Abstract
After defining the syndrome of moral injury (MI), reviewing its relationship to posttraumatic stress disorder (PTSD), and examining its psychological consequences and impact on functioning, we describe a new psychotherapeutic treatment for MI called spiritually integrated cognitive processing therapy (SICPT). SICPT builds on cognitive processing therapy (CPT), a commonly used trauma-focused treatment for PTSD. To our knowledge, SICPT is the first one-on-one individualized psychotherapeutic treatment that integrates a person's spiritual and religious beliefs into the treatment for MI, using the latter to work through and process the psychological, spiritual, and religious symptoms of this condition. Here, we describe the initial results obtained from a single-group experimental study examining the treatment of three patients with significant symptoms of both MI and PTSD. Given the effects of SICPT on reducing both MI and PTSD symptoms, we have decided to report these early results before study completion to alert the scientific community about this potentially effective new treatment.
Recruiting New Talent for Public Health Jobs With Evidence-Based Job Descriptions and Attractive Job Postings
Authors: Krasna Heather , Kulik Phoebe K. G. , Karnik Harshada , Leider Jonathon P. 
Published: June 2023

Context:
With $7.4 billion from the American Rescue Plan funding new hires in the public health workforce, health departments could benefit from well-written, accurate job descriptions and job postings/advertisements to attract candidates.

Program:
We wrote accurate job descriptions for 24 jobs common in governmental public health settings.

Implementation:
We searched the gray literature for existing templates of job descriptions, job task analyses, lists of competencies, or bodies of knowledge; synthesized several currently posted job descriptions per occupation; utilized the 2014 National Board of Public Health Examiners' job task analysis data; and gathered feedback from current public health professionals in each field. We then engaged a marketing specialist to change the job descriptions into advertisements.

Discussion:
Several occupations examined did not have available job task analyses, while others had multiple. This project appears to be the first time that a list of existing job task analyses have been compiled together. Health departments have a special opportunity to replenish their workforce. Having evidence-based and vetted job descriptions that can be tailored for specific health departments' usage will accelerate their recruitment efforts and attract more qualified candidates.
Predictors and Variation in Steroid Injection Use for Carpal Tunnel Syndrome from a Multicenter Quality Collaborative
Authors: Billig Jessica I. , Kotsis Sandra V. , Kong Lingxuan , Wang Lu , Chung Kevin C. ,   Michigan Collaborative Hand Initiative for Quality in Surgery (M-CHIQS) Group*
Published: June 2023

Background:
Steroid injections are commonly used as first-line treatment for carpal tunnel syndrome (CTS); however, research has shown that their benefit is generally short-term and many patients go on to receive carpal tunnel release. The study purpose was to determine the variation in steroid injection use by hand surgeons.

Methods:
We analyzed data from a 9-center hand surgery quality collaborative. Data from 1,586 patients (2,381 hands) were included if they underwent elective CTR at one of the sites. Mixed effects logistic regression models were used to examine the association of receipt of steroid injection and association of receipt of more than one steroid injection among patient-level covariates.

Results:
Steroid injection use significantly varied by practice, ranging from 12-53% of patients. The odds of receiving a steroid injection were 1.4 times higher for females (p<0.01), 1.6 times higher for patients with chronic pain syndrome (p<0.01), 0.5 times lower for patients with moderate electromyography (EMG) and 0.4 times lower for patients with severe EMG classification (both p<0.01). Patients with high CTS-6 scores (p=0.02) and patients with moderate (p=0.04) or severe EMG (p=0.05) had lower odds of receiving multiple steroid injections. Complete symptomatic improvement after steroid injection was significantly reported by patients with high CTS-6 score (p=0.03) or patients with severe EMG classification (p=0.02).

Conclusions:
We found wide patient-level and practice-level variation in the use of steroid injections prior to undergoing CTR. These findings underscore the need for improved data and standard practice guidelines regarding which patients benefit from steroid injection.
Oligodendrocyte Transcription Factor 2 as a Potential Prognostic Biomarker of Glioblastoma: Kaplan-Meier Analysis and the Development of a Binary Predictive Model Based on Visually Accessible Rembrandt Image and Magnetic Resonance Imaging Radiomic Features
Authors: Mei Nan , Lu Yiping , Yang Shan , Jiang Shenghong , Ruan Zhuoying , Wang Dongdong , Liu Xiujuan , Ying Yinwei , Li Xuanxuan , Yin Bo 
Published: June 2023

Objective
Oligodendrocyte transcription factor 2 (OLIG2) is universally expressed in human glioblastoma (GB). Our study explores whether OLIG2 expression impacts GB patients' overall survival and establishes a machine learning model for OLIG2 level prediction in patients with GB based on clinical, semantic, and magnetic resonance imaging radiomic features.

Methods
Kaplan-Meier analysis was used to determine the optimal cutoff value of the OLIG2 in 168 GB patients. Three hundred thirteen patients enrolled in the OLIG2 prediction model were randomly divided into training and testing sets in a ratio of 7:3. The radiomic, semantic, and clinical features were collected for each patient. Recursive feature elimination (RFE) was used for feature selection. The random forest (RF) model was built and fine-tuned, and the area under the curve was calculated to evaluate the performance. Finally, a new testing set excluding IDH-mutant patients was built and tested in a predictive model using the fifth edition of the central nervous system tumor classification criteria.

Results
One hundred nineteen patients were included in the survival analysis. Oligodendrocyte transcription factor 2 was positively associated with GB survival, with an optimal cutoff of 10% (P = 0.00093). One hundred thirty-four patients were eligible for the OLIG2 prediction model. An RFE-RF model based on 2 semantic and 21 radiomic signatures achieved areas under the curve of 0.854 in the training set, 0.819 in the testing set, and 0.825 in the new testing set.

Conclusions
Glioblastoma patients with ≤10% OLIG2 expression tended to have worse overall survival. An RFE-RF model integrating 23 features can predict the OLIG2 level of GB patients preoperatively, irrespective of the central nervous system classification criteria, further guiding individualized treatment.
Diagnostic Value of Computed Tomography Angiography in Suspected Acute Ischemic Stroke Patients With Respect to National Institutes of Health Stroke Scale Score
Authors: Andrée Daniel , Thanabalasingam Arjun , Teubner Jonas , Fahrni Markus , Potthast Silke 
Published: June 2023

Objective
Noncontrast computed tomography (NCCT) plus computed tomography angiography (CTA) is the standard imaging modality for acute stroke. We investigated whether there is an additional diagnostic value of supra-aortic CTA in relation to National Institutes of Health Stroke Scale (NIHSS) and resultant effective radiation dose.

Methods
In this observational study, 788 patients with suspected acute stroke were included and divided into 3 NIHSS groups: group 1, NIHSS 0–2; group 2, NIHSS 3–5; and group 3, NIHSS ≥ 6.
Computed tomography scans were assessed for findings of acute ischemic stroke and vascular pathologies in 3 regions. Final diagnosis was obtained from medical records. Effective radiation dose was calculated based on the dose-length product.

Results
Seven hundred forty-one patients were included. Group 1 had 484 patients, group 2 had 127 patients, and group 3 had 130 patients. Computed tomography diagnosis of acute ischemic stroke was made in 76 patients. In 37 patients, a diagnosis of acute stroke was made based on pathologic CTA findings in case of an unremarkable NCCT. Stroke occurrence was the lowest in groups 1 and 2, with 3.6% and 6.3%, respectively, compared with 12.7% in group 3. If both NCCT and CTA were positive, the patient was discharged with a stroke diagnosis. Male sex had the highest effect on the final stroke diagnosis. The mean effective radiation dose was 2.6 mSv.

Conclusions
In female patients with NIHSS 0–2, additional CTA rarely contains relevant additional findings decisive for treatment decisions or overall patient outcomes; therefore, CTA in this patient group might yield less impactful findings, and the applied radiation dose could be lowered by approximately 35%.
Whole-Lesion Apparent Diffusion Coefficient Histogram Analysis for Assessing Normal-Sized Lymph Node Metastasis in Cervical Cancer: Comparison Between Readout-Segmented and Single-Shot Echo-Planar Diffusion-Weighted Imaging
Authors: Qian Weiliang , Chen Qian , Hu Chunhong 
Published: June 2023

Objective
To compare the value of whole-lesion apparent diffusion coefficient (ADC) histogram analysis derived from readout-segmented echo-planar imaging (RS-EPI) and single-shot echo-planar imaging (SS-EPI) diffusion-weighted imaging (DWI) in evaluating normal-sized lymph node metastasis (LNM) in cervical cancer.

Methods
Seventy-six pathologically confirmed cervical cancer patients (stages IB and IIA) were enrolled, including 61 patients with non-LNM (group A) and 15 patients with normal-sized LNM (group B). The recorded tumor volume on T2-weighted imaging was the reference against which both DWIs were evaluated. Each ADC histogram parameter (including ADCmax, ADC90, ADCmedian, ADCmean, ADC10, ADCmin, ADCskewness, ADCkurtosis, and ADCentropy) was compared between SS-EPI and RS-EPI and between the 2 groups.

Results
There was no significant difference in tumor volume between the 2 DWIs and T2-weighted imaging (both P > 0.05). Higher ADCmax and ADCentropy but lower ADC10, ADCmin and ADCskewness were found in SS-EPI than those in RS-EPI (all P < 0.05). For SS-EPI, lower ADC90 and higher ADCkurtosis were found in group B than those in group A (both P < 0.05). For RS-EPI, lower ADC90 and higher ADCkurtosis and ADCentropy were found in group B than those in group A (all P < 0.05). Readout-segmented echo-planar imaging ADCkurtosis showed the highest area under the curve of 0.792 in the differentiation of the 2 groups (sensitivity, 80%; specificity, 73.77%).

Conclusions
Compared with SS-EPI, the ADC histogram parameters derived from RS-EPI were more accurate, and ADCkurtosis held great potential in differentiating normal-sized LNM in cervical cancer.
Radiomics of Spinal Metastases Originating From Primary Nonsmall Cell Lung Cancer or Breast Cancer and Ability to Predict Epidermal Growth Factor Receptor Mutation/Ki-67 Levels
Authors: Niu Shuxian , Zhang Hongxiao , Wang Xiaoyu , Jiang Wenyan 
Published: June 2023

Objectives
The aims of the study are to explore spinal magnetic resonance imaging (MRI)-based radiomics to differentiate spinal metastases from primary nonsmall cell lung cancer (NSCLC) or breast cancer (BC) and to further predict the epidermal growth factor receptor (EGFR) mutation and Ki-67 expression level.

Methods
In total, 268 patients with spinal metastases from primary NSCLC (n = 148) and BC (n = 120) were enrolled between January 2016 and December 2021. All patients underwent spinal contrast-enhanced T1-weighted MRI before treatment. Two- and 3-dimensional radiomics features were extracted from the spinal MRI images of each patient. The least absolute shrinkage and selection operator regression were applied to identify the most important features related to the origin of the metastasis and the EGFR mutation and Ki-67 level. Radiomics signatures (RSs) were established using the selected features and evaluated using receiver operating characteristic curve analysis.

Results
We identified 6, 5, and 4 features from spinal MRI to develop Ori-RS, EGFR-RS, and Ki-67-RS for predicting the metastatic origin, EGFR mutation, and Ki-67 level, respectively. The 3 RSs performed well in the training (area under the receiver operating characteristic curves: Ori-RS vs EGFR-RS vs Ki-67-RS, 0.890 vs 0.793 vs 0.798) and validation (area under the receiver operating characteristic curves: Ori-RS vs EGFR-RS vs Ki-67-RS, 0.881 vs 0.744 vs 0.738) cohorts.

Conclusions
Our study demonstrated the value of spinal MRI-based radiomics for identifying the metastatic origin and evaluating the EGFR mutation status and Ki-67 level in patients with NSCLC and BC, respectively, which may have the potential to guide subsequent individual treatment planning.
Can Machine Learning Identify the Intravenous Contrast Dose and Injection Rate Needed for Optimal Enhancement on Dynamic Liver Computed Tomography?
Authors: Masuda Takanori , Nakaura Takeshi , Funama Yoshinori , Sato Tomoyasu , Nagayama Yasunori , Kidoh Masafumi , Yoshida Masato , Arao Shinichi , Ono Atsushi , Hiratsuka Junichi , Hirai Toshinori , Awai Kazuo 
Published: June 2023

Objectives
This study aimed to investigate whether machine learning (ML) is useful for predicting the contrast material (CM) dose required to obtain a clinically optimal contrast enhancement in hepatic dynamic computed tomography (CT).

Methods
We trained and evaluated ensemble ML regressors to predict the CM doses needed for optimal enhancement in hepatic dynamic CT using 236 patients for a training data set and 94 patients for a test data set. After the ML training, we randomly divided using the ML-based (n = 100) and the body weight (BW)–based protocols (n = 100) by the prospective trial. The BW protocol was performed using routine protocol (600 mg/kg of iodine) by the prospective trial. The CT numbers of the abdominal aorta and hepatic parenchyma, CM dose, and injection rate were compared between each protocol using the paired t test. Equivalence tests were performed with equivalent margins of 100 and 20 Hounsfield units for the aorta and liver, respectively.

Results
The CM dose and injection rate for the ML and BW protocols were 112.3 mL and 3.7 mL/s, and 118.0 mL and 3.9 mL/s (P < 0.05). There were no significant differences in the CT numbers of the abdominal aorta and hepatic parenchyma between the 2 protocols (P = 0.20 and 0.45). The 95% confidence interval for the difference in the CT number of the abdominal aorta and hepatic parenchyma between 2 protocols was within the range of predetermined equivalence margins.

Conclusions
Machine learning is useful for predicting the CM dose and injection rate required to obtain the optimal clinical contrast enhancement for hepatic dynamic CT without reducing the CT number of the abdominal aorta and hepatic parenchyma.
Community-based end-of-life care in Singapore and nursing care implications for older adults in the post-COVID-19 world
Authors: Poon Edward , Ang Seng Hock Martin , Ramazanu Sheena 
Published: June 2023

Purpose of review
To render holistic overview on community-based end-of-life care in the context of Singapore, with analysis of nursing care implications for older adults requiring end-of-life care services.

Recent findings
Healthcare professionals caring for older adults with life-limiting conditions had to play an active role in the constantly evolving healthcare landscape during the coronavirus disease 2019 (COVID-19) pandemic. Usual meetings and community-based end-of-life care interventions were converted to online mode, utilizing digital technology. In order to provide value-based and culturally relevant care, further studies are warranted to evaluate healthcare professionals, patients and family caregivers’ preferences whilst utilizing digital technology. As a result of COVID-19 pandemic restrictions to minimize infection transmissions, animal-assisted volunteering activities were conducted virtually. Regular healthcare professionals’ engagement in wellness interventions is necessary to boost morale and prevent potential psychological distress.

Summary
To strengthen the delivery of end-of-life community care services, the following recommendations are proposed: active youth engagement via inter-collaborations and connectedness of community organizations; improving support for vulnerable older adults in need of end-of-life care services; and enhancing healthcare professionals well-being through the implementation of timely support interventions.