bluuebunny/crossref_metadata_2025_split huggingface dataset:
A model based on adipose and muscle-related indicators evaluated by CT images for predicting microvascular invasion in HCC patients
Authors: Mao Xin-Cheng , Shi Shuo , Yan Lun-Jie , Wang Han-Chao , Ding Zi-Niu , Liu Hui , Pan Guo-Qiang , Zhang Xiao , Han Cheng-Long , Tian Bao-Wen , Wang Dong-Xu , Tan Si-Yu , Dong Zhao-Ru , Yan Yu-Chuan , Li Tao 
Published: October 2023

Abstract
Background and aim
The presence of microvascular invasion (MVI) will impair the surgical outcome of hepatocellular carcinoma (HCC). Adipose and muscle tissues have been confirmed to be associated with the prognosis of HCC. We aimed to develop and validate a nomogram based on adipose and muscle related-variables for preoperative prediction of MVI in HCC.

Methods
One hundred fifty-eight HCC patients from institution A (training cohort) and 53 HCC patients from institution B (validation cohort) were included, all of whom underwent preoperative CT scan and curative resection with confirmed pathological diagnoses. Least absolute shrinkage and selection operator (LASSO) logistic regression was applied to data dimensionality reduction and screening. Nomogram was constructed based on the independent variables, and evaluated by external validation, calibration curve, receiver operating characteristic (ROC) curve and decision curve analysis (DCA).

Results
Histopathologically identified MVI was found in 101 of 211 patients (47.9%). The preoperative imaging and clinical variables associated with MVI were visceral adipose tissue (VAT) density, intramuscular adipose tissue index (IMATI), skeletal muscle (SM) area, age, tumor size and cirrhosis. Incorporating these 6 factors, the nomogram achieved good concordance index of 0.79 (95%CI: 0.72–0.86) and 0.75 (95%CI: 0.62–0.89) in training and validation cohorts, respectively. In addition, calibration curve exhibited good consistency between predicted and actual MVI probabilities. ROC curve and DCA of the nomogram showed superior performance than that of models only depended on clinical or imaging variables. Based on the nomogram score, patients were divided into high (> 273.8) and low (< = 273.8) risk of MVI presence groups. For patients with high MVI risk, wide-margin resection or anatomical resection could significantly improve the 2-year recurrence free survival.

Conclusion
By combining 6 preoperative independently predictive factors of MVI, a nomogram was constructed. This model provides an optimal preoperative estimation of MVI risk in HCC patients, and may help to stratify high-risk individuals and optimize clinical decision making.
Feasibility, acceptability, and outcome responsiveness of the SYMPERHEART intervention to support symptom perception in persons with heart failure and their informal caregivers: a feasibility quasi-experimental study
Authors: Santos Gabrielle Cécile , Liljeroos Maria , Tschann Kelly , Denhaerynck Kris , Wicht Justine , Jurgens Corrine Y. , Hullin Roger , Schäfer-Keller Petra 
Published: October 2023

AbstractBackgroundSymptom perception is an important process of heart failure (HF) self-care that persons with HF need in order to master self-care management. It also leads to better patient outcomes. Symptom perception consists of body observation and analysis, which are both challenging. We aimed to test the feasibility, acceptability, and outcome responsiveness of a novel intervention (SYMPERHEART) delivered to persons with HF with their informal caregiver.MethodsWe designed SYMPERHEART as a complex evidence-informed education and support intervention targeting body observation and analysis. We conducted a feasibility quasi-experimental study with a single group pre-post-test design. We included three subsamples: persons with HF receiving home-based care, their informal caregivers exposed to SYMPERHEART, and home-care nurses who delivered SYMPERHEART during 1 month. We assessed feasibility by recruitment time, time to deliver SYMPERHEART, eligibility rate, and intervention fidelity. We assessed acceptability by consent rate, retention rate, persons with HF engagement in body observation, and treatment acceptability. Outcome responsiveness was informed by patient-reported (PRO) and clinical outcomes: HF self-care and the informal caregivers’ contribution to HF self-care, perception of HF symptom burden, health status, caregivers’ burden, and HF events. We performed descriptive analyses for quantitative data and calculated Cohen’s d for PROs. A power analysis estimated the sample size for a future full-scale effectiveness study.ResultsWe included 18 persons with HF, 7 informal caregivers, and 9 nurses. Recruitment time was 112.6 h. The median time to deliver SYMPERHEART for each participant was 177.5 min. Eligibility rate was 55% in persons with HF. Intervention fidelity revealed that 16 persons with HF were exposed to body observation and analysis. Consent and retention rates in persons with HF were 37.5% and 100%, respectively. Participants engaged actively in symptom and weight monitoring. Treatment acceptability scores were high. Symptom perception and informal caregivers’ contribution to symptom perception were found to be responsive to SYMPERHEART. We estimate that a sample size of 50 persons with HF would be needed for a full-scale effectiveness study.ConclusionsSYMPERHEART was found to be feasible and acceptable. This feasibility study provides information for a subsequent effectiveness study.Trial registrationISRCTN.ISRCTN18151041, retrospectively registered on 4 February 2021, ICTRP Search Portal.
Development of the Strengths, Skills, and Goals Matrix: a tool for facilitating strengths-based adolescent and young adult engagement in research
Authors: Allemang Brooke , Patton Megan , Greer Katelyn , Pintson Karina , Farias Marcela , Schofield Keighley , Samuel Susan , Patten Scott B. , Sitter Kathleen C. , Dimitropoulos Gina 
Published: October 2023

Abstract
Background
The involvement of adolescents and young adults (AYAs) with lived experience of health and mental health conditions as partners in research is increasing given the prominence of participatory approaches to research, including patient-oriented research (POR). Much of the relevant research is conducted by graduate students. While guiding AYA engagement frameworks and models exist, the processes of partnering with AYAs in patient-oriented graduate-level research projects have not been well established. Co-developed tools and practices are required to support strengths-based, developmentally appropriate AYA-graduate student partnerships.

Objectives
The objectives of this commentary are: (1) to share the processes of partnership between a graduate student and five Young Adult Research Partners (YARP), (2) to describe the co-design and implementation of the Strengths, Skills, and Goals Matrix (SSGM), a tool for facilitating strengths-based AYA engagement in research, and (3) to outline considerations for applying this tool across a variety of research contexts with patient partners.

Main body
Within the YARP-graduate student partnership, the SSGM offered extensive benefits, including tangible skill development, peer mentorship, and rapport building among all members. This tool offers strategies for strengths-based engagement practices which emphasize AYAs’ preferences and goals throughout POR projects. Practical recommendations and considerations for applying the SSGM within graduate-level research and beyond are described, including the importance of connecting AYAs’ current (and desired) skills to specific tasks within the research project and resulting outputs.

Conclusions
The SSGM has possible relevance in a variety of settings given its broadly applicable structure. Future research could explore the adaptation, application, and evaluation of the SSGM across research contexts to determine its feasibility and ease of implementation.

Patient or public contribution
This article was conceived of and co-authored by five young adult research partners. The YARP co-designed the SSGM presented in this article, the figures, and substantially contributed to the preparation of the article.
Successful renal transplantation following hemodialysis as bridging therapy in a patient with Fechtner syndrome: a case report and literature review
Authors: Hama Eriko Yoshida , Yamaguchi Shintaro , Uchiyama Kiyotaka , Kojima Daiki , Nagasaka Tomoki , Yoshimoto Norifumi , Tajima Takaya , Kanda Takeshi , Morimoto Kohkichi , Yoshida Tadashi , Kosaki Kenjiro , Itoh Hiroshi , Hayashi Kaori 
Published: October 2023

Abstract
Background
Fechtner syndrome, also referred to as nonmuscle myosin heavy chain 9-related disease (MYH9-RD), is an autosomal-dominant genetic disorder. It is caused by abnormalities in the MYH9 gene, which encodes the nonmuscle conventional (class II) myosin heavy chain A (NMMHC-IIA). Its clinical manifestations include mild macrothrombocytopenia with leukocyte inclusions, hearing loss, cataracts, and renal failure.

Case presentation
We present the case of a 34-year-old female patient with Fechtner syndrome in whom end-stage renal disease (ESRD) developed. During childhood, she presented with the typical symptoms of MYH9-RD, including thrombocytopenia, leukocyte inclusion bodies, onset of nephropathy, sensorineural hearing loss, and cataracts, wherein a clinical diagnosis of Fechtner syndrome was established. Her renal function deteriorated during adolescence. Furthermore, the patient underwent renal biopsy at the age of 18 years, which revealed focal segmental glomerulosclerosis. She was started on hemodialysis at the age of 33 years, followed by a living-donor renal transplantation after 5 months. She achieved a target platelet count of 50 × 109/L for arteriovenous fistula creation and 100 × 109/L for renal transplantation via platelet transfusions. Heparin use was avoided as an anticoagulant during hemodialysis. Since the patient expressed a desire for childbearing, genetic testing was performed, revealing an in-frame deletion of 21 nucleotides at 3195–3215 in exon 25 (A1065_A1072 del) of NMMHC-IIA, which has been reported to correlate with mild renal dysfunction. Our patient’s condition progressed into ESRD. Although genetic testing techniques have made great strides in recent years, our case clearly presents the difficulty in assuming an association between genetic abnormalities and clinical manifestations.

Conclusions
Our case may provide further understanding of the management of ESRD in patients with MYH9-RD-related thrombocytopenia based on the results of genetic testing.
Complexities of deep learning-based undersampled MR image reconstruction
Authors: Noordman Constant Richard , Yakar Derya , Bosma Joeran , Simonis Frank Frederikus Jacobus , Huisman Henkjan 
Published: October 2023

AbstractArtificial intelligence has opened a new path of innovation in magnetic resonance (MR) image reconstruction of undersampled k-space acquisitions. This review offers readers an analysis of the current deep learning-based MR image reconstruction methods. The literature in this field shows exponential growth, both in volume and complexity, as the capabilities of machine learning in solving inverse problems such as image reconstruction are explored. We review the latest developments, aiming to assist researchers and radiologists who are developing new methods or seeking to provide valuable feedback. We shed light on key concepts by exploring the technical intricacies of MR image reconstruction, highlighting the importance of raw datasets and the difficulty of evaluating diagnostic value using standard metrics.Relevance statement Increasingly complex algorithms output reconstructed images that are difficult to assess for robustness and diagnostic quality, necessitating high-quality datasets and collaboration with radiologists.Key points• Deep learning-based image reconstruction algorithms are increasing both in complexity and performance.• The evaluation of reconstructed images may mistake perceived image quality for diagnostic value.• Collaboration with radiologists is crucial for advancing deep learning technology.
Graphical Abstract
Hospital characteristics and perioperative complications of Hispanic patients following reverse shoulder arthroplasty—a large database study
Authors: Venishetty Nikit , Sohn Garrett , Nguyen Ivy , Trivedi Meesha , Mounasamy Varatharaj , Sambandam Senthil 
Published: October 2023

Abstract
Background
Hispanic patients are the youngest and fastest-growing ethnic group in the USA. Many of these patients are increasingly met with orthopedic issues, often electing to undergo corrective procedures such as reverse shoulder arthroplasty (RSA). This patient population has unique medical needs and has been reported to have higher incidences of perioperative complications following major procedures. Unfortunately, there is a lack of information on the hospitalization data and perioperative complications in Hispanic patients following procedures such as RSA. This project aimed to query the Nationwide Inpatient Sample (NIS) database to assess patient hospitalization information, demographics, and the prevalence of perioperative complications among Hispanic patients who received RSA.

Methods
Information from 2016–2019 was queried from the NIS database. Demographic information, incidences of perioperative complications, length of stay, and costs of care among Hispanic patients undergoing RSA were compared to non-Hispanic patients undergoing RSA. A subsequent propensity matching was conducted to consider preoperative comorbidities.

Results
The query of NIS identified 59,916 patients who underwent RSA. Of this sample, 2,656 patients (4.4%) were identified to be Hispanic, while the remaining 57,260 patients (95.6%) were found to belong to other races (control). After propensity matching, Hispanic patients had a significantly longer LOS (median = 1.4 days) than the patients in the control group (median = 1.0, P < 0.001). The Hispanic patients (89,168.5 USD) had a significantly higher cost of care than those in the control group (67,396.1 USD, P < 0.001). In looking at postoperative complications, Hispanic patients had increased incidences of acute renal failure (Hispanics: 3.1%, control group: 1.1%, P = 0.03) and blood loss anemia (Hispanics: 12.7%, control group: 10.9%, P = 0.03).

Conclusions
Hispanic patients had significantly longer lengths of stay, higher costs of care, and higher rates of perioperative complications compared to the control group. For patients who are Hispanic and undergoing RSA, this information will aid doctors in making comprehensive decisions regarding patient care and resource allocation.
Provitamin A retention and sensory acceptability of landrace orange maize (MW5021) food products among school-aged children living in rural Malawi
Authors: Katola Alex Arves , Stark Aliza Hannah , Ndolo Victoria Uchizi , Tembo David Tryson , Katundu Mangani Chilala 
Published: October 2023

AbstractLandrace orange maize is rich in carotenoids and is thought to be a potentially sustainable solution for Vitamin A deficiency. This study evaluated the acceptability of landrace orange maize food products among school-aged children living in rural Malawi. It also determined the retention of provitamin A carotenoids after storage in an uncontrolled environment, followed by milling and cooking. Sensory evaluations of porridge and nsima (thick porridge) were carried out in school-aged children (n = 160) using a 7-point hedonic scale. Total carotenoid content (TCC) was analysed using a spectrophotometric method and High-Performance Liquid Chromatography (HPLC) was used to identify the specific carotenoid composition of the food products. Sensory evaluation results showed a higher acceptance of landrace orange maize food products in comparison to those commonly prepared from white maize. Plain porridge scored 6.5 ± 1.4 and 5.6 ± 1.9 for orange and white maize, respectively. Similar results were observed with nsima. Orange maize nsima received a score of 6.8 ± 0.7 while white maize was evaluated at 5.8 ± 1.9. After 10 months of storage and processing, there was 89% retention of total carotenoids with 59% accounted for by evaluation of individual carotenoids. Despite the total degradation of beta-carotene, 42% retention of beta-cryptoxanthin with provitamin A activity was observed. Encouraging the production of landrace orange maize appears to be a useful strategy for providing Malawian farmers with carotenoid-rich foods with high palatability. It presents a cost-effective option to reduce dependence on supplementation and fortification.
Graphical Abstract
Frequency of atypical pulmonary manifestations of COVID-19 patients on chest CT-scan: a cross-sectional study
Authors: Borji Soheila , Isavand Puria , Azami Mobin , Ghafouri Ehsan 
Published: October 2023

Abstract
Background
Chest CT is a crucial diagnostic tool in COVID-19 due to its high sensitivity. Typical chest CT findings such as reversed halo sign, vascular enlargement, and air-bronchogram are commonly recognized in the pandemic, but finding atypical signs is essential to diagnose. We aimed to investigate the prevalence of the atypical manifestations during the two months of 2022 and compare the results to studies conducted before its outbreak.

Methods
Those patients with positive, positive RT-PCR tests were reevaluated to see if they met the inclusion and exclusion. Demographic information of patients, including age and sex, was recorded. The computed tomography (CT) examination was carried out using a 100-slice scanner (Philips Brilliance 6 CT Scanner). Two radiology specialists evaluated SARS-CoV-2 RT-PCR-positive patients for atypical pulmonary CT findings separately. The obtained data were evaluated using R software version 4.1.1.

Results
606 confirmed COVID-19 cases were included in this study based on inclusion and exclusion criteria during January and February 2022. 55% of patients were female, and the median age was 56 (IQR: 42, 69). More than half of the patients (59%) had atypical findings on their pulmonary CT examination. These findings showed that pleural abnormalities were the most frequent atypical finding. Among pleural abnormalities, pleural thickening was the most common (17%). The double halo sign represented the least frequent atypical sign (0.2%).

Conclusions
Atypical findings were more prevalent in this study than its predecessors, while we acknowledge that other factors, such as study design and patient population, could have impacted it. The presence of atypical signs generally was not correlated with specific demographic groups, while some of these signs were more frequent in particular groups.
Sonographic assessment of mean pulmonary artery pressure and diaphragmatic excursion in chronic respiratory failure patient after using home non-invasive positive pressure ventilation
Authors: Alsadik Maha E. , Shouman Waheed M , Gad Doaa Mostafa , Elfeqy Mohamed Elsaid 
Published: October 2023

Abstract
Background
Non-invasive positive pressure ventilation (NIPPV) has emerged as a recognized and effective long-term therapeutic approach for individuals suffering from chronic respiratory insufficiency resulting from various diverse disorders. Nevertheless, providing home non-invasive positive pressure ventilation encounters several challenges, including compliance, training inadequacies, and limited resources. Therefore, the objective of this study was to observe the impact of home non-invasive positive pressure ventilation on patients with chronic respiratory failure, specifically focusing on its effects on the mean pulmonary artery pressure, diaphragmatic excursion, and associated complications.

Results
The study included a total of 48 patients, consisting of 26 males (54.1%) and 22 females (45.9%). The baseline mean pulmonary artery pressure (PAP) was found to be 39.79 ± 7.51. Additionally, the baseline diaphragmatic excursion in quiet breathing was measured to be 1.80 ± 0.38 cm, while the baseline diaphragmatic excursion in deep breathing was recorded as 4.35 ± 0.99 cm. Following the implementation of home non-invasive ventilation, specifically bilevel-positive airway pressure or continuous positive airway pressure, significant improvements were observed in the aforementioned parameters. The most commonly reported complications among the patients included skin ulcers and aerophagia. Furthermore, mortality rate of 6.3% was observed.

Conclusions
The use of home non-invasive positive pressure ventilation has been shown to be a successful and sustainable therapeutic approach for persons suffering from chronic respiratory failure. This therapy method has significantly improved PAP, diaphragm force, and overall mortality rates. The use of ultrasonography to evaluate pulmonary pressure or diaphragmatic excursion is considered a beneficial and straightforward approach for the follow-up of subjects with chronic respiratory failure.
Detection and elimination of insignificant interacting subsystems in MIMO closed-loop systems using the least mean square-based partial correlation algorithm
Authors: Rahim Mohamed A. 
Published: October 2023

AbstractClosed-loop identification of multi-input multi-output (MIMO) systems in large-scale plants has significant difficulties due to subsystem interactions. This complexity is attributed to several input‒output variables, interactions such as recycling to improve or save material and energy, and disturbances such as heating or cooling within the plant. One of the fundamental problems in closed-loop identification is the input perturbation of the interacting subsystems to capture the dynamics of the system for producing an informative dataset and consequently obtaining an accurate model. However, perturbing all the interacting subsystems in the plant increases the applied excitation signals, which makes the identification a nontrivial task. Thus, a precise and quantitative procedure to evaluate the significance and contribution of such interacting subsystems before applying these excitation signals is required to simplify the identification task. Conventional partial correlation analysis is one of the implemented techniques to measure the significance of these interacting subsystems. However, this technique is based on least square estimation. Thus, incorrect estimation of the model errors is produced due to the correlations amongst the process inputs and unmeasured disturbances. Accordingly, this paper describes the implementation of a developed least mean square-based partial correlation algorithm for detecting and eliminating insignificant interacting subsystems of MIMO closed-loop systems. The developed algorithm can discriminate the interacting subsystems that substantially influence the plant interaction from those that do not by minimizing the model regression errors produced due to the process input correlation, unmeasured disturbances, and colored noise. The effectiveness of the proposed method is demonstrated through a case study.