bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genome-wide identification and analysis of the cotton ALDH gene family
Authors: Gu Haijing , Pan Zongjin , Jia Mengxue , Fang Hui , Li Junyi , Qi Yingxiao , Yang Yixuan , Feng Wenxiang , Gao Xin , Ditta Allah , Khan Muhammad K.R. , Wang Wei , Cao Yunying , Wang Baohua 
Published: May 2024

Abstract
Background
Aldehyde dehydrogenases (ALDHs) are a family of enzymes that catalyze the oxidation of aldehyde molecules into the corresponding carboxylic acid, regulate the balance of aldehydes and protect plants from the poisoning caused by excessive accumulation of aldehydes; however, this gene family has rarely been studied in cotton.

Results
In the present study, genome-wide identification was performed, and a total of 114 ALDH family members were found in three cotton species, Gossypium hirsutum, Gossypium arboreum and Gossypium raimondii. The ALDH genes were divided into six subgroups by evolutionary analysis. ALDH genes in the same subgroup showed similar gene structures and conserved motifs, but some genes showed significant differences, which may result in functional differences. Chromosomal location analysis and selective pressure analysis revealed that the ALDH gene family had experienced many fragment duplication events. Cis-acting element analysis revealed that this gene family may be involved in the response to various biotic and abiotic stresses. The RT‒qPCR results showed that the expression levels of some members of this gene family were significantly increased under salt stress conditions. Gohir.A11G040800 and Gohir.D06G046200 were subjected to virus-induced gene silencing (VIGS) experiments, and the sensitivity of the silenced plants to salt stress was significantly greater than that of the negative control plants, suggesting that Gohir.A11G040800 and Gohir.D06G046200 may be involved in the response of cotton to salt stress.

Conclusions
In total, 114 ALDH genes were identified in three Gossypium species by a series of bioinformatics analysis. Gene silencing of the ALDH genes of G. hirsutum revealed that ALDH plays an important role in the response of cotton to salt stress.
Feasibility of continuous non-invasive delivery of oxygen monitoring in cardiac surgical patients: a proof-of-concept preliminary study
Authors: Ng Roderica R. G. , Desai Suneel R. , Chu Felicia S. W. , Sim Ming Ann , Chee Sheryl W. L. , Fuh Jerry Y. H. , Ti Lian-Kah , Chew Sophia T. H. 
Published: May 2024

Abstract
Purpose
Oxygen delivery (DO2) and its monitoring are highlighted to aid postoperative goal directed therapy (GDT) to improve perioperative outcomes such as acute kidney injury (AKI) after high-risk cardiac surgeries associated with multiple morbidities and mortality. However, DO2 monitoring is neither routine nor done postoperatively, and current methods are invasive and only produce intermittent DO2 trends. Hence, we proposed a novel algorithm that simultaneously integrates cardiac output (CO), hemoglobin (Hb) and oxygen saturation (SpO2) from the Edwards Life Sciences ClearSight System® and Masimo SET Pulse CO-Oximetry® to produce a continuous, real-time DO2 trend.

Methods
Our algorithm was built systematically with 4 components – machine interface to draw data with PuTTY, data extraction with parsing, data synchronization, and real-time DO2 presentation using a graphic-user interface. Hb readings were validated.

Results
Our algorithm was implemented successfully in 93% (n = 57 out of 61) of our recruited cardiac surgical patients. DO2 trends and AKI were studied.

Conclusion
We demonstrated a novel proof-of-concept and feasibility of continuous, real-time, non-invasive DO2 monitoring, with each patient serving as their own control. Our study also lays the foundation for future investigations aimed at identifying personalized critical DO2 thresholds and optimizing DO2 as an integral part of GDT to enhance outcomes in perioperative cardiac surgery.
The influence of dexmedetomidine added to ropivacaine for transversus abdominis plane block on perioperative neurocognitive disorders after radical colorectal cancer surgery: randomized, double-blind, controlled trial
Authors: Yang Li , Xiong RongFei , Chen XingQu , Wang Shu , Yu DeShui 
Published: May 2024

Abstract
Objective
Perioperative Neurocognitive Disorders (PND) is a common neurological complication after radical colorectal cancer surgery, which increases adverse outcomes. So, our objective is to explore the influence of dexmedetomidine added to ropivacaine for transversus abdominis plane block (TAPB) on perioperative neurocognitive disorders, and to provide a new way to reduce the incidence of PND.

Methods
One hundred and eighty patients submitted to radical laparoscopic colorectal cancer surgery were randomly divided into Control group and Dex group. Ultrasound guided TAPB was performed after anesthesia induction: 0.5% ropivacaine 20 ml was injected into each transversus abdominis plane in Control group, 0.5% ropivacaine + 1 μg/kg dexmedetomidine (amounting to 20 ml) in Dex group. We observed the incidence of PND within 30 days after surgery.

Results
One hundred and sixty-nine cases were finally analyzed, including 84 cases in Control group and 85 cases in Dex group. Compared with Control group, there was no significant difference in terms of the incidence of PND on the 3rd day and the 7th day (P > 0.05), but the incidence significantly decreased at the 6th hour, at the 24th hour and on the 30th day after surgery (P < 0.05) in Dex group.

Conclusion
Dexmedetomidine added to ropivacaine for TAPB can reduce the incidence of PND in the first 24 h after surgery and on the 30th postoperative day, which may be related to reduce the consumption of general anesthetics and provide satisfactory postoperative analgesia.

Trial registration
29 /05/ 2021, ChiCTR2100046876.
General practitioners’ perspectives on relocating care: a Dutch interview study
Authors: Damen L.J. , Van Tuyl L.H.D. , Knottnerus B. J. , De Jong J.D. 
Published: May 2024

Abstract
Background
Healthcare systems around the world are facing significant challenges because higher costs and an increase in demand for care has not been matched by a corresponding growth in the health workforce. Without reform, healthcare systems are unsustainable. Relocating care, such as from hospitals to general practices, is expected to make a key contribution to ensuring healthcare remains sustainable. Relocating care has a significant impact upon general practitioners (GPs). Therefore, we investigated which care, according to GPs, could be relocated and under which conditions.

Method
GPs were recruited through Nivel’s GPs network on eHealth and innovation, located in the Netherlands. One exploratory focus group and 12 in-depth interviews were conducted. Interview transcripts were analyzed using the qualitative research principles of thematic analysis.

Results
According to the participants, some diagnostic and follow-up care could be relocated from hospitals to GPs once certain prerequisites are fulfilled. An important condition of relocating care from the hospital to the GP is that GPs have sufficient time to take over these tasks. The types of care that can be relocated from the GP to other settings are those questions where the medical knowledge of the GP can offer nothing extra or where problems in navigating the health system cause patients to either turn to, or stay with, their GP.

Conclusion
Care should first be relocated from the GP to other settings before attempting to organize the relocation of care from the hospital to the GP. When this, and other conditions are met, some diagnostic and follow-up care can be relocated from the hospital to the GP.
Exploring the foundations of a digital health information service for patients with inflammatory bowel disease: a mixed method study in Gravitate-Health
Authors: Maurud Sigurd , Lunde Lene , Moen Anne , Opheim Randi 
Published: May 2024

Abstract
Background
Providing relevant digital health information of high quality may promote treatment adherence and self-management for patients with inflammatory bowel disease. The development of digital health services is optimised by considering end users’ needs.

Aim
To identify key aspects required for digital promotion of inflammatory bowel disease patients’ self-management by exploring their health information needs and the preferences of both patients and healthcare professionals in relation to the digital provision of inflammatory bowel disease health services.

Methods
Data from an audit of 1,481 electronic health record summaries from an inflammatory bowel disease help line, 17 semi-structured interviews with inflammatory bowel disease patients and 2 focus group interviews with 11 healthcare professionals were analysed.

Results
Patients primarily contacted the hospital due to concerns about symptoms, examinations and tests, and medicines. Their concerns appeared to vary according to diagnosis, gender, age and disease duration. The interviews identified two overarching themes: (1) the available health information and patients’ health information needs, and (2) whishes, thoughts and preferences for a digital solution in IBD care with relevant and individualised information.

Conclusions
The findings delineate key aspects for developing a suitable digital health information service. Patients seek information from healthcare professionals about treatment; however, in a digital solution, they want access to relevant and practical information about the disease, treatment and self-management. Both patients and healthcare professionals saw opportunities for increasing health data availability to patients. However, healthcare professionals expressed concerns about adapting, maintaining and ensuring the relevance of patient health information without increasing their workload and, thus, reducing quality of care.
A study to investigate the prevalence of headache disorders and migraine conducted using medical claims data and linked results from online surveys: post-hoc analysis of other headache disorders
Authors: Takeshima Takao , Hirata Koichi , Igarashi Hisaka , Sakai Fumihiko , Sano Hiromi , Kondo Hiroyuki , Shibasaki Yoshiyuki , Koga Nobuyuki 
Published: May 2024

Abstract
Background
Surveys using questionnaires to collect epidemiologic data may be subject to misclassification. Here, we analyzed a headache questionnaire to evaluate which questions led to a classification other than migraine.

Methods
Anonymized surveys coupled with medical claims data from individuals 19–74 years old were obtained from DeSC Healthcare Inc. to examine proportions of patients with primary headache disorders (i.e.; migraine, tension-type headache, cluster headache, and “other headache disorders”). Six criteria that determined migraine were used to explore how people with other headache disorders responded to these questions.

Results
Among the 21480 respondents, 7331 (34.0%) reported having headaches. 691 (3.2%) respondents reported migraine, 1441 (6.7%) had tension-type headache, 21 (0.1%) had cluster headache, and 5208 (24.2%) reported other headache disorders. Responses of participants with other headache disorders were analyzed, and the top 3 criteria combined with “Symptoms associated with headache” were “Site of pain” (7.3%), “Headache changes in severity during daily activities” (6.4%), and the 3 criteria combined (8.8%). The symptoms associated with headache were “Stiff shoulders” (13.6%), “Stiff neck” (9.4%), or “Nausea or vomiting” (8.7%), Photophobia” (3.3%) and “Phonophobia” (2.5%).

Conclusions
Prevalence of migraine as diagnosed by questionnaire was much lower than expected while the prevalence of “other headache” was higher than expected. We believe the reason for this observation was due to misclassification, and resulted from the failure of the questionnaire to identify some features of migraine that would have been revealed by clinical history taking. Questionnaires should, therefore, be carefully designed, and doctors should be educated, on how to ask questions and record information when conducting semi-structured interviews with patients, to obtain more precise information about their symptoms, including photophobia and phonophobia.
Factors correlating the expression of PD-L1
Authors: Lu Fang , Wang Ernuo , Liu Haiquan 
Published: May 2024

Abstract
Objective
PD-L1 was an important biomarker in lung adenocarcinoma. The study was to confirm the most important factor affecting the expression of PD-L1 remains undetermined.

Methods
The clinical records of 1045 lung adenocarcinoma patients were retrospectively reviewed. The High-Resolution Computed Tomography (HRCT) scanning images of all the participants were analyzed, and based on the CT characteristics, the adenocarcinomas were categorized according to CT textures. Furthermore, PD-L1 expression and Ki67 index were detected by immunohistochemistry. All patients underwent EGFR mutation detection.

Results
Multivariate logistic regression analysis revealed that smoking (OR: 1.73, 95% CI: 1.04–2.89, p = 0.004), EGFR wild (OR: 1.52, 95% CI: 1.11–2.07, p = 0.009), micropapillary subtypes (OR: 2.05, 95% CI: 1.46–2.89, p < 0.0001), and high expression of Ki67 (OR: 2.02, 95% CI: 1.44–2.82, p < 0.0001) were independent factors which influence PD-L1 expression. In univariate analysis, tumor size > 3 cm and CT textures of pSD showed a correlation with high expression of PD-L1. Further analysis revealed that smoking, micropapillary subtype, and EGFR wild type were also associated with high Ki67 expression. Moreover, high Ki67 expression was observed more frequently in tumors of size > 3 cm than in tumors with ≤ 3 cm size as well as in CT texture of pSD than lesions with GGO components. In addition, multivariate logistic regression analysis revealed that only lesions with micropapillary components correlated with pSD (OR: 3.96, 95% CI: 2.52–5.37, p < 0.0001).

Conclusion
This study revealed that in lung adenocarcinoma high Ki67 expression significantly influenced PD-L1 expression, an important biomarker for immune checkpoint treatment.
Prediction of influenza outbreaks in Fuzhou, China: comparative analysis of forecasting models
Authors: Chen Qingquan , Zheng Xiaoyan , Shi Huanhuan , Zhou Quan , Hu Haiping , Sun Mengcai , Xu Youqiong , Zhang Xiaoyang 
Published: May 2024

Abstract
Background
Influenza is a highly contagious respiratory disease that presents a significant challenge to public health globally. Therefore, effective influenza prediction and prevention are crucial for the timely allocation of resources, the development of vaccine strategies, and the implementation of targeted public health interventions.

Method
In this study, we utilized historical influenza case data from January 2013 to December 2021 in Fuzhou to develop four regression prediction models: SARIMA, Prophet, Holt-Winters, and XGBoost models. Their predicted performance was assessed by using influenza data from the period from January 2022 to December 2022 in Fuzhou. These models were used for fitting and prediction analysis. The evaluation metrics, including Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE), were employed to compare the performance of these models.

Results
The results indicate that the epidemic of influenza in Fuzhou exhibits a distinct seasonal and cyclical pattern. The influenza cases data displayed a noticeable upward trend and significant fluctuations. In our study, we employed SARIMA, Prophet, Holt-Winters, and XGBoost models to predict influenza outbreaks in Fuzhou. Among these models, the XGBoost model demonstrated the best performance on both the training and test sets, yielding the lowest values for MSE, RMSE, and MAE among the four models.

Conclusion
The utilization of the XGBoost model significantly enhances the prediction accuracy of influenza in Fuzhou. This study makes a valuable contribution to the field of influenza prediction and provides substantial support for future influenza response efforts.
Epidemiological characteristics of neuroendocrine neoplasms in Beijing: a population-based retrospective study
Authors: Chi Yujia , Liu Shuo , Zhang Jianwei , Li Huichao , Yang Lei , Zhang Xi , Li Haoxin , Li Qingyu , Wang Ning , Lu Ming , Zhuo Minglei 
Published: May 2024

Abstract
Background
The incidence of neuroendocrine neoplasms (NENs) is rising rapidly worldwide. However, there are few reports on these heterogeneous diseases in China. Our study aimed to explore the epidemiological characteristics of NENs in Beijing.

Methods
We conducted a retrospective cohort study using population-based cancer surveillance data in Beijing, China. All data were extracted from the Beijing Cancer Registry with incidence dates from 1 January 1998 to 31 December 2018; the follow-up period was through 31 December 2021. Segi’s world standard population was used to estimate the age-standardized rate. Survival was estimated using the Kaplan–Meier method.

Results
From 1998 to 2018, the incidence of NENs in Beijing initially showed a significant increasing trend, from 1.07/100,000 to 3.53/100,000; this began to plateau after 2013. The age-specific incidence rate increased with age and peaked in the age group 70–74 years. The incidence in men was significantly higher than that in women (4.41/100,000 vs. 1.69/100,000). The most common sites of NENs were the lung (2.38/100,000) and rectum (0.14/100,000). Most NENs were diagnosed at a late stage. We found that NENs originating from the lung had worse overall survival than extrapulmonary NENs, and male patients had worse survival than female patients.

Conclusions
This study retrospectively analyzed the epidemiological characteristics of NENs in Beijing from 1998 to 2018. Our findings provide a reference regarding the epidemiological statistics of NENs in Beijing to contribute to the prevention, diagnosis, and treatment of these specific tumors.
The impact of comorbidities on prolonged mechanical ventilation in patients with chronic obstructive pulmonary disease
Authors: Liao Kuang-Ming , Lu Hsueh-Yi , Chen Chung-Yu , Kuo Lu-Ting , Tang Bo-Ren 
Published: May 2024

Abstract
Background
In patients with chronic obstructive pulmonary disease (COPD) and acute respiratory failure, approximately 10% of them are considered to be at high risk for prolonged mechanical ventilation (PMV, > 21 days). PMV have been identified as independent predictors of unfavorable outcomes. Our previous study revealed that patients aged 70 years older and COPD severity were at a significantly higher risk for PMV. We aimed to analyze the impact of comorbidities and their associated risks in patients with COPD who require PMV.

Methods
The data used in this study was collected from Kaohsiung Medical University Hospital Research Database. The COPD subjects were the patients first diagnosed COPD (index date) between January 1, 2012 and December 31, 2020. The exclusion criteria were the patients with age less than 40 years, PMV before the index date or incomplete records. COPD and non-COPD patients, matched controls were used by applying the propensity score matching method.

Results
There are 3,744 eligible patients with COPD in the study group. The study group had a rate of 1.6% (60 cases) patients with PMV. The adjusted HR of PMV was 2.21 (95% CI 1.44–3.40; P < 0.001) in the COPD patients than in non-COPD patients. Increased risks of PMV were found significantly for patients with diabetes mellitus (aHR 4.66; P < 0.001), hypertension (aHR 3.20; P = 0.004), dyslipidemia (aHR 3.02; P = 0.015), congestive heart failure (aHR 6.44; P < 0.001), coronary artery disease (aHR 3.11; P = 0.014), stroke (aHR 6.37; P < 0.001), chronic kidney disease (aHR 5.81 P < 0.001) and Dementia (aHR 5.78; P < 0.001).

Conclusions
Age, gender, and comorbidities were identified as significantly higher risk factors for PMV occurrence in the COPD patients compared to the non-COPD patients. Beyond age, comorbidities also play a crucial role in PMV in COPD.
Persisting exercise ventilatory inefficiency in subjects recovering from COVID-19. Longitudinal data analysis 34 months post-discharge
Authors: Dorelli Gianluigi , Sartori Giulia , Fasoli Giulia , Ridella Nicolò , Bianchini Nicola , Braggio Michele , Ferrari Marcello , Venturelli Massimo , Carbonare Luca Dalle , Capelli Carlo , Grassi Bruno , Crisafulli Ernesto 
Published: May 2024

Abstract
Background
SARS-CoV-2 infection has raised concerns about long-term health repercussions. Exercise ventilatory inefficiency (EVin) has emerged as a notable long-term sequela, potentially impacting respiratory and cardiovascular health. This study aims to assess the long-term presence of EVin after 34 months and its association with cardiorespiratory health in post-COVID patients.

Methods
In a longitudinal study on 32 selected post-COVID subjects, we performed two cardiopulmonary exercise tests (CPETs) at 6 months (T0) and 34 months (T1) after hospital discharge. The study sought to explore the long-term persistence of EVin and its correlation with respiratory and cardiovascular responses during exercise. Measurements included also V̇O2peak, end-tidal pressure of CO2 (PETCO2) levels, oxygen uptake efficiency slope (OUES) and other cardiorespiratory parameters, with statistical significance set at p < 0.05. The presence of EVin at both T0 and T1 defines a persisting EVin (pEVin).

Results
Out of the cohort, five subjects (16%) have pEVin at 34 months. Subjects with pEVin, compared to those with ventilatory efficiency (Evef) have lower values of PETCO2 throughout exercise, showing hyperventilation. Evef subjects demonstrated selective improvements in DLCO and oxygen pulse, suggesting a recovery in cardiorespiratory function over time. In contrast, those with pEvin did not exhibit these improvements. Notably, significant correlations were found between hyperventilation (measured by PETCO2), oxygen pulse and OUES, indicating the potential prognostic value of OUES and Evin in post-COVID follow-ups.

Conclusions
The study highlights the clinical importance of long-term follow-up for post-COVID patients, as a significant group exhibit persistent EVin, which correlates with altered and potentially unfavorable cardiovascular responses to exercise. These findings advocate for the continued investigation into the long-term health impacts of COVID-19, especially regarding persistent ventilatory inefficiencies and their implications on patient health outcomes.