bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple biventricular intracardiac thrombi an unusual finding in peripartum cardiomyopathy: A case report
Authors: Edwin Gidion , Mbishi Yohana , Alphonce Baraka , Meda John 
Published: June 2024

Abstract

Introduction:
Peripartum Cardiomyopathy (PPCM) is a rare form of heart failure occurring during late pregnancy or within five months postpartum, its etiology remaining elusive. While typically characterized by left ventricular dysfunction, it may present with intracardiac thrombi, raising the risk of systemic embolization. Here, we report an unusual case of PPCM featuring biventricular intracardiac thrombi, highlighting the importance of a thorough investigation for potential underlying causes.
Case presentation:
This is a case of a black African, multiparous woman aged 44 years with an unremarkable past medical history, who presented with symptoms suggestive of acute heart failure five months after her last delivery. A 2D Transthoracic Echocardiography showed multiple biventricular intracardiac thrombi, a rare complication of PPCM without a systemic embolic event. Further, laboratory tests for evidence of a hypercoagulable state came out negative. Treatment involved a combination of acute heart failure, and anticoagulation followed by optimal medical therapy for chronic heart failure, resulting in improved symptoms for heart failure, cardiac function, and significant thrombi resolution after 8 weeks.
Conclusion
Multiple biventricular intracardiac thrombi are uncommon finding in Peripartum Cardiomyopathy (PPCM), emphasizing the need for vigilant diagnosis and management. Despite the absence of identifiable secondary causes, prompt management of acute heart failure and anticoagulation led to significant thrombi resolution and improved cardiac function. This case highlighted the significance of the complex management of PPCM, in an individualized manner.
Beyond Arrays: Leveraging Whole Genome Sequencing to provide insights into Type 1 Diabetes risk in the population
Authors: Arni Ankit M , Fraser Diane P , Sharp Seth A , Oram Richard A , Johnson Matthew B , Weedon Michael N , Patel Kashyap A 
Published: June 2024

Abstract

A Type 1 Diabetes Genetic Risk Score (T1DGRS) aids diagnosis and prediction of Type 1 Diabetes (T1D). While traditionally derived from imputed array genotypes, Whole Genome Sequencing (WGS) provides a more direct approach and is used increasingly in research studies. We aim to assess differences between WGS-based T1DGRS and array-based T1DGRS, focusing on variations across genetic ancestries. We generated 67-variant T1DGRS from 149,265 individuals from UK Biobank with WGS, TOPMed-imputed, and 1000 Genomes-imputed array genotypes. WGS-based T1DGRS showed strong correlation to GRS from TOPMed-imputed array genotypes (r = 0.99), with a slightly lower mean (-0.0028 SD, p < 10− 31). Correlation was lower in both non-European populations and GRS from 1000 Genomes-imputed array genotypes (r ranging between 0.95–0.98). This can lead to between 6–29% re-categorisation of individuals at clinical risk thresholds using the array-based GRS in non-European populations. Compared to Europeans, WGS-based T1DGRS was much lower for African and South Asian populations. In conclusion, WGS is a viable approach for generating T1DGRS and TOPMed-imputed genotypes offer a cost-effective alternative. The observed variations in T1DGRS at the population-level among different genetic ancestries cautions against indiscriminate use of European-centric T1DGRS risk thresholds in clinical practice and advocates the need for ancestry-specific or pan-ancestry standards.
Analysis on spatial-temporal difference evolution of regional tourism economy in Sichuan Province
Authors: ZHAO JING , Omar Shida Irwana 
Published: June 2024

Abstract

In recent years, with the rapid development of China's tourism industry, promoting the coordinated development of regions and optimizing the spatial layout of tourism have become the focus of academic and government attention. This paper takes 21 prefecture-level cities (autonomous prefectures) in Sichuan Province as the research object, takes 2012-2022 as the research period, selects 9 evaluation indicators related to the development of tourism industry and its influence on tourism development, uses entropy method to calculate the weight of the index system, and establishes the evaluation index system of regional tourism economy in Sichuan Province. Then, the absolute difference and relative difference research methods are used to explore the temporal evolution characteristics of regional tourism economy in Sichuan Province, and the gravity center model is used to analyze the spatial evolution characteristics of regional tourism economy in Sichuan Province from the whole level with the help of geographical detector model. Finally, the factors of regional tourism economic differences in Sichuan Province are analyzed. The results show that in the study range, the absolute difference of regional tourism economy in Sichuan Province has been increasing from 2012 to 2019, but the two differences have a downward trend in 2020 and after; The relative difference of tourism economy in Sichuan province is small, but the Gini coefficient and weighted coefficient of variation are high, which indicates that the development of regional tourism economy in Sichuan Province is extremely unbalanced. The development of regional tourism economy in Sichuan province has been in a state of polarization, especially in Chengdu. The regional tourism economic difference in Sichuan province is the result of multiple factors. The research finds that talent, innovation ability and tourism service facilities are the core influencing factors.
The integration and associated challenges of Mental Health Competencies in Undergraduate Nursing Education: A scoping review
Authors: Chukwuere Precious Chibuike , Zenani Nombulelo Esme , Mthimunye Katlego , Godbold Rosemary , Shahrour Ghada 
Published: June 2024

Abstract

Background: Educational institutions play a pivotal role in meeting healthcare needs by educating future professional nurses and other healthcare professionals. However, nursing education encounters challenges such as insufficient competencies among graduates, and a gap in theory-practice integration in the curriculum. The aim of this scoping was to identify and map out the existing literature on the integration of Mental Health Competencies in undergraduate Nursing Education and associated challenges.
Methods: This scoping review was conducted in line with the framework outlined by Arksey and O’Malley. The electronic databases of CINHAL, MedLine,Scopus, Science Direct, and Emerald Insight were used for peer-reviewed articles related to the subject topic using English search terms. Two authors independently reviewed the identified articles that met the inclusion criteria. The screening and selection process was conducted in the following phases: Firstly, the search results were imported into EPPI reviewer software, and duplicates were removed through the use of the software's built-in function. Secondly, careful screening of the titles and abstracts of all imported studies was followed based on the inclusion criteria. Thirdly, the reference list of the identified articles was screened to foster a comprehensive coverage of evidence. Full-text screening was conducted for all the identified articles and the research team carefully scrutinized this process. From 717 articles obtained from the literature, 17 were selected for critique and synthesis.
Results: The initial literature search generated 717 articles. Upon identification and careful screening, 17 eligible articles were included for data synthesis. Two key themes were reported: Integrating Mental Health Competencies in Undergraduate Nursing Education and Challenges to integrating Mental Health Competencies in undergraduate Nursing Education,
Conclusion: The findings of this scoping review indicated that various efforts are being made toward integrating mental health nursing into undergraduate nursing education. However, these efforts are constantly confronted by different challenges such as societal stigma, patient behaviours, unequal student contributions in group work activities, and difficulties in understanding patients' symptoms. Meaningful efforts should be made towards addressing these challenges to better prepare future nurses with the necessary mental health competence.
Retrospective study of clinical outcomes with hydrocortisone versus indomethacin prophylaxis in preterm neonates
Authors: Gerges Sandra , Mara Danielle , Maharaj Krishanta , Weisz Dany , Dunn Michael , Kiss Alex 
Published: June 2024

Abstract

Objective
Indomethacin and hydrocortisone prophylaxis may improve clinical outcomes when administered to extremely preterm neonates. However, they cannot be administered together and there is limited evidence to support which therapy may be most beneficial.
Study Design:
A retrospective matched cohort study was conducted in neonates less than 28 weeks gestational age (GA) and birth weight less than 1000 grams who received prophylaxis with indomethacin or hydrocortisone. Multivariable logistic regression analysis was used to evaluate clinical outcomes.
Results
Among 177 neonates, 40 treated with prophylactic hydrocortisone were matched with 137 neonates treated with prophylactic indomethacin. Indomethacin-treated neonates had significantly lower incidence of PDA, PDA requiring surgical closure, late-onset sepsis, and higher rates of survival without oxygen supplementation at discharge. There was no difference in mortality, BPD, NEC, or IVH.
Conclusion
When compared to hydrocortisone, indomethacin prophylaxis was associated with more favorable outcomes.
Identification and characterization of Listeria monocytogenes and Listeria innocua in bovine listeriosis cases in Uruguay
Authors: Matto Carolina , Rivero Rodolfo , Mota María Inés , Braga Valeria , Gianneechini Ruben Edgardo , Varela Gustavo 
Published: June 2024

Abstract

In Uruguay and other countries of southern South America, listeriosis in cattle has been described, often relying solely on histological lesions for diagnosis. This study aimed to: i) analyze a case-series of bovine listeriosis in Uruguay diagnosed through combined pathological and bacteriological methods and, ii) characterize the isolated Listeria strains. From 2014 to 2022, twelve cases were diagnosed. Eleven presented as neurolisteriosis, while one involved a third-trimester abortion. These events primarily occurred in spring (9 cases) and winter (3), affecting individual adult cattle (> 2 years old) on both beef and dairy farms. Interestingly, 5/12 cases (42%) had no prior history of silage feeding. Histopathological examination of neurolisteriosis cases revealed suppurative meningoencephalitis with brainstem microabscesses. The aborted fetus had hepatitis and necrosuppurative nephritis. Listeria was isolated from 11/12 cases: 8 L. monocytogenes and 3 non-hemolytic L. innocua. The identified L. monocytogenes serotypes were 4b (n = 6) and 1/2a (n = 2), which are commonly reported in humans and animals worldwide. Importantly, all L. monocytogenes isolates possessed the inlA gene, a key virulence factor, while none of the L. innocua isolates did. This study highlights the importance of Listeria isolation for characterizing circulating strains and gaining deeper insights into the agent and epidemiology of listeriosis in ruminants of South America.
Integrating Transfer Learning with Scalogram Analysis for Blood Pressure Estimation from PPG Signals
Authors: Subramanian Shyamala , Mishra Sashikala , Patil Shruti , Kolekar Maheshkumar H , Ortiz-Rodriguez Fernando 
Published: June 2024

Abstract

The blood pressure estimation plays a crucial role in assessing cardiovascular health and preventing related complications. One of early warning indicators for heart disorders is elevated blood pressure. Thus, monitoring of blood pressure continuously is needed. This paper provides a novel transfer learning approach for blood pressure estimation using photoplethysmography from the publicly available database namely MIMIC-II. The Continuous Wavelet Transform was used to transform the PPG signals into scalograms, which were then input into six different deep learning models: VGG16, ResNet50, InceptionV3, NASNetLarge, InceptionResNetV2 and ConvNeXtTiny. The obtained deep features from each one of these models were employed to estimate BP values using Random Forest. The models were assessed using mean absolute error and standard deviation in estimating the systolic and diastolic blood pressure values. Out of six models, ConvNeXtTiny and VGG16 proved to be particularly challenging, resulting in the mean absolute error (MAE) of 2.95 mmHg and 4.11 mmHg for systolic blood pressure respectively, and standard deviation of 1.66 mmHg and 2.60 mmHg for diastolic blood pressure, respectively. The achieved result complies with the clinical standards set by Advancement of Medical Instrumentation Standard and the British Hypertension Society standard. The suggested method shows that reliable Blood Pressure estimation from photoplethysmography signals is possible with the use of deep learning and transfer learning. Above all, ConvNeXtTiny offers a dependable method for continuous blood pressure monitoring that satisfies clinical requirements and may help in the early identification of cardiovascular problems.
­­COVID-19 and mental distress among health professionals in eight European countries during the third wave: a cross-sectional survey
Authors: Dechent Frieder , Mayer Gwendolyn , Hummel Svenja , Steffen Moritz , Benoy Charles , Almeida Rosa , Duran Raquel Losada , Ribeiro Oscar , Frisardi Vincenza , Tarricone Ilaria , Ferrari Silvia , Lemogne Cedric , Huber Christian , Weidt Steffi , Schultz Jobst-Hendrik 
Published: June 2024

Abstract

Even during the third wave of the COVID-19 pandemic health professionals were facing mental health challenges. The aim of this study was to examine the mental health of doctors, nurses and other professional groups in Europe and to identify differences between the professional groups. We conducted a cross-sectional online survey in 8 European countries. We asked for demographic data, whether the participants were exposed to COVID-19 at work, for main information sources about the pandemic, the Depression Anxiety Stress Scale (DASS-21), and major stressors. A MANCOVA was carried out to find predictors of mental health among health care professionals. The sample (N = 1,398) consisted of 237 physicians, 459 nurses, and 351 other healthcare professionals and 351 non-medical professionals with no direct involvement in patient care. The mean mental health of all groups was affected to a mild degree. Major predictors were profession group for depression and anxiety with higher scores especially in the group of the nurses and for the group working directly with COVID-patients. In the third wave of the COVID-19 pandemic, the psychological burden on health professionals has remained high, with being nurse and working directly with COVID19 patients being particular risk factors for mental distress. We found as a main result that that nurses scored significantly higher on depression and anxiety than practitioners.
Towards more reliable gambling cost estimates, a population-based study with register-linkage
Authors: Latvala Tiina A. , Rockloff Matthew , Browne Matthew , Roukka Tomi , Lintonen Tomi P. , Salonen Anne H. 
Published: June 2024

Abstract

Background: Although past research has shown a strong association between gambling participation and harms, relatively few studies have attempted to quantify the cost of these harms to society. The need to quantify costs has been identified in several countries, however, no consensus exists in the field of gambling studies on how one should estimate them.
Methods: Three methods were selected for costs calculations: Causality adjustment factors (with two variations: CAF 80%/ CAF 50%), Excess costs, and a method based on Bayes' Theorem. Our purpose was not to examine the overall costs of gambling, but rather to evaluate different approaches for one specific outcome. Our focus was on indirect costs relating to productivity losses associated with long-term work disability in those aged 18–64 years who had experienced gambling problems before long-term work disability had started. Work disability was operationalized as the net days of sickness absence and disability pension. The study used population-based Gambling Harms survey and the survey data were linked with the register data.
Results: These three methods gave very different estimates on costs relating to productivity losses associated past problem gambling. The Excess cost method gave the highest estimate of 127.04 million euros (25.94 Int$/adult) followed by the Causality adjustment method (CAF80%) of 56.97 million euros (11.63 Int$/adult) and CAF 50% with 35.61 million euros (7.27 Int$/adult). The method based on Bayes' Theorem gave the lowest estimate of the cost at 8.57 million euros (1.75 Int$/adult).
Conclusions: Methods commonly used in gambling cost studies yield higher estimates of gambling costs when arbitrary causality adjustment methods are used. Bayes’ theorem allows leveraging data on temporal patterns of gambling problems to estimate the plausible proportion where gambling is the precipitating factor for the experienced harm, rather than the other way around. Additionally, costs could be presented as Int$ per adult using the PPP exchange rate to facilitate the comparison of gambling costs between countries.
The Consequences of Servicescape of Live-streaming on Luxury Goods Purchase Intention
Authors: Yu Junying , Gao Jing , Guo Jiarui 
Published: June 2024

Abstract

This study investigates the influence of the servicescape in live-streaming on consumer buying behavior regarding luxury goods. We examine the mediating role of perceived value and consumer trust, considering the prior luxury purchasing experience of consumers. Additionally, we explore the interplay between the live-streaming servicescape and conspicuous consumption in shaping the perceived luxury value. Our findings reveal intriguing results: Perceived value mediates the relationship between servicescape and purchase intention for consumers without prior luxury purchase experience, while consumer trust does not exhibit a mediating effect. Conversely, for individuals with prior luxury purchase experience, the mediating effect is reversed. Furthermore, we identify the interplay between the live-streaming servicescape and conspicuous consumption as a moderator of perceived value. These insights indicate that luxury brands can strategically enhance their live-streaming servicescape to cater to different consumer segments and strengthen their marketing endeavors. Overall, this study contributes valuable insights into the servicescape theory in the context of live-streaming.
Cardiometabolic Risk Phenotypes and Chronic Kidney Disease Incidence in Older Adults：A Nationwide Longitudinal Cohort Study
Authors: Zeng Zhihe , Xiao Zhaoyang 
Published: June 2024

Abstract

Background
There is mixed evidence for an association between cardiometabolic risk factors and chronic kidney disease risk (CKD). This study aimed to determine whether different latent classes of cardiometabolic conditions were associated with chronic kidney disease risk.
Method
Data from 7,195 participants in the China Health and Retirement Longitudinal Study (CHARLS) were analyzed. Latent class analysis was performed using data on obesity, high-density lipoprotein cholesterol, triglyceride, hypertension, diabetes, arthritis or rheumatism, and systemic inflammatory conditions and heart disease. Confounder-adjusted multiple logistic regressions were conducted to estimate CKD incidence by cardiometabolic latent classes.
Results
Three cardiometabolic classes were identified: relatively healthy cardiometabolic (RHC) phenotype, metabolic syndrome (MetS) phenotype, and cardiovascular disease (CVD) phenotype, which accounted for 66.2%, 19.9%, and 13.8%, respectively. The incidence of CKD was 12.7% in the CVD group, 9.4% in the MetS group, and 5.9% in the RHC group. After adjusting for confounding factors, it was found that the metabolic syndrome type had a 54% increased risk of newly diagnosed CKD compared to the healthy heart type (OR = 1.54, 95% CI: 1.22–1.93), while the cardiovascular type increased by 104% (OR = 2.04, 95% CI: 1.61–2.57).
Conclusion
Different cardiometabolic phenotypes are associated with an increased risk of new-onset CKD. Gender and age are important factors influencing the strength of this association.
OutProFeed-Italy: A Randomized Controlled Trial of Routine Outcome Monitoring and Feedback Informed Psychotherapy
Authors: Compare Angelo , Tona Antonino La , Masella Cristina , Olive Mattia Vincenzo , Brugnera Agostino , Carcione Antonino , Pievani Luca , Poletti Barbara , Tasca Giorgio Angelo , Coco Gianluca Lo 
Published: June 2024

Abstract

Background: Routine outcome monitoring with immediate clinical feedback can improve the effectiveness of psychotherapy. This protocol study represents the first Italian randomized controlled trial (RCT) to evaluate the effectiveness of Feedback Informed Therapy (FIT) to improve patient mental health outcomes and processes. In it, we test a state-of-the-art digital platform (named Mindy) designed and developed for therapists that includes an integrated monitoring and support system.
Methods: This longitudinal RCT (Zellen design) involves randomizing therapists and their patients who meet the inclusion criteria into three conditions. The first condition involves outcome and process monitoring (OPM). In this condition, patients complete outcome and process measures related to each psychotherapy session, therapists use the Mindy platform to monitor the outcome and process measures, but therapists do not receive feedback with clinical support tools. The second condition involves outcome and process monitoring plus feedback (OPM-F). In this condition patients complete outcome and process measures related to each session and therapists receive feedback on the Mindy platform’s Clinical Support Tools based on the principles of feedback-informed therapy (FIT). Therapists in the OPM-F condition also receive monthly supervision/coaching for three months aimed at enhancing their use of the Clinical Support Tools. The third condition is treatment as usual (TAU) in which therapists and patients proceed with psychotherapy as they normally would, and therapists do not receive training. Therapists only use the Mindy platform as a streamlined digital record and to fill out the process evaluations at pre-treatment (after the first session) and the last study session (15th session) but without access to the data. In addition, therapists and patients in all conditions complete outcome questionnaires at pre-treatment, post-treatment and follow-up.
Discussion: We expect that compared to the other conditions, patients treated by therapists in the OPM-F condition will experience greater reductions in symptoms, lower dropout rates, and a better therapeutic alliance. Therapists in the OPM-F condition will demonstrate better management of therapeutic alliance ruptures. Overall, the results of this study could encourage future decisions on the use of digital platforms (e.g., Mindy) and FIT.
Study registration: April 10, 2024 [https://clinicaltrials.gov/study/NCT06356961]