bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inactive Matrix Gla Protein in Relation to Renal and Cardiac Functions and Cardiac Valvular Calcification Among Type 2 Diabetes Patients
Authors: Reda Sara , Fawzy Olfat , Sayed Doaa , Mohamed Ghada , Khidr Emad Gamil 
Published: October 2023

Background: Matrix Gla protein (MGP) is a robust innate suppressor of the detrimental process of vascular calcification in the human body. Objectives: The interrelationship between circulating MGP levels and renal and cardiac dysfunction, besides echocardiographic calcification score (ECS) was investigated in a sample of type 2 diabetes (T2D) patients. Methods: The study included 130 subjects. They were 95 patients with T2D and 35 age- and sex-matched healthy controls. Patients were further subdivided into 52 T2D patients without DKD (eGFR ⩾ 60 ml/minute/1.73 m²) and 43 T2D persons with DKD (eGFR > 60 ml/minute/1.73 m²). Serum MGP levels, determined by ELISA, renal function tests, lipid profile, and echocardiography were studied in all participants. Results: Significantly elevated circulating inactive MGP level was noted in individuals having T2D compared to controls. It correlated negatively with eGFR and left ventricular (LV) diastolic and systolic functions and positively with indices of LV hypertrophy. ECS was significantly increased in both T2D groups compared to controls and in DKD group compared to the diabetic group without DKD. A significant positive correlation was observed between inactive MGP and ECS. Conclusion: Serum inactive MGP may contribute to the development of DKD and to the associated process of cardiac valvular calcification. It may be a beneficial diagnostic marker for early prediction of cardiac calcification and preclinical LV systolic and diastolic dysfunction in T2D patients, especially in those complicated with DKD.
Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable
Authors: Van Criekinge Tamaya , Heremans Charlotte , Burridge Jane , Deutsch Judith E , Hammerbeck Ulrike , Hollands Kristen , Karthikbabu Suruliraj , Mehrholz Jan , Moore Jennifer L , Salbach Nancy M , Schröder Jonas , Veerbeek Janne M , Weerdesteyn Vivian , Borschmann Karen , Churilov Leonid , Verheyden Geert , Kwakkel Gert 
Published: October 2023

Background: Mobility is a key priority for stroke survivors. Worldwide consensus of standardized outcome instruments for measuring mobility recovery after stroke is an essential milestone to optimize the quality of stroke rehabilitation and recovery studies and to enable data synthesis across trials. Methods: Using a standardized methodology, which involved convening of 13 worldwide experts in the field of mobility rehabilitation, consensus was established through an a priori defined survey-based approach followed by group discussions. The group agreed on balance- and mobility-related definitions and recommended a core set of outcome measure instruments for lower extremity motor function, balance and mobility, biomechanical metrics, and technologies for measuring quality of movement. Results: Selected measures included the Fugl-Meyer Motor Assessment lower extremity subscale for motor function, the Trunk Impairment Scale for sitting balance, and the Mini Balance Evaluation System Test (Mini-BESTest) and Berg Balance Scale (BBS) for standing balance. The group recommended the Functional Ambulation Category (FAC, 0–5) for walking independence, the 10-meter Walk Test (10 mWT) for walking speed, the 6-Minute Walk Test (6 MWT) for walking endurance, and the Dynamic Gait Index (DGI) for complex walking. An FAC score of less than three should be used to determine the need for an additional standing test (FAC < 3, add BBS to Mini-BESTest) or the feasibility to assess walking (FAC < 3, 10 mWT, 6 MWT, and DGI are “not testable”). In addition, recommendations are given for prioritized kinetic and kinematic metrics to be investigated that measure recovery of movement quality of standing balance and walking, as well as for assessment protocols and preferred equipment to be used. Conclusions: The present recommendations of measures, metrics, technology, and protocols build on previous consensus meetings of the International Stroke Recovery and Rehabilitation Alliance to guide the research community to improve the validity and comparability between stroke recovery and rehabilitation studies as a prerequisite for building high-quality, standardized “big data” sets. Ultimately, these recommendations could lead to high-quality, participant-specific data sets to aid the progress toward precision medicine in stroke rehabilitation.
A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable
Authors: English Coralie , Simpson Dawn B , Billinger Sandra A , Churilov Leonid , Coupland Kirsten G , Drummond Avril , Kuppuswamy Annapoorna , Kutlubaev Mansur A , Lerdal Anners , Mahmood Amreen , Moseley G Lorimer , Pittman Quentin J , Riley Ellyn A , Sutherland Brad A , Wong Connie HY , Corbett Dale , Mead Gillian 
Published: October 2023

Rationale: Fatigue affects almost half of all people living with stroke. Stroke survivors rank understanding fatigue and how to reduce it as one of the highest research priorities. Methods: We convened an interdisciplinary, international group of clinical and pre-clinical researchers and lived experience experts. We identified four priority areas: (1) best measurement tools for research, (2) clinical identification of fatigue and potentially modifiable causes, (3) promising interventions and recommendations for future trials, and (4) possible biological mechanisms of fatigue. Cross-cutting themes were aphasia and the voice of people with lived experience. Working parties were formed and structured consensus building processes were followed. Results: We present 20 recommendations covering outcome measures for research, development, and testing of new interventions and priority areas for future research on the biology of post-stroke fatigue. We developed and recommend the use of the Stroke Fatigue Clinical Assessment Tool. Conclusions: By synthesizing current knowledge in post-stroke fatigue across clinical and pre-clinical fields, our work provides a roadmap for future research into post-stroke fatigue.
Comparative efficacy and safety of novel immuno-chemotherapy for extensive-stage small-cell lung cancer: a network meta-analysis of randomized controlled trial
Authors: Zhu Youwen , Liu Kun , Zhu Hong , Cao Hui , Zhou Yangying 
Published: October 2023

Background: Recently, several new first-line immune checkpoint inhibitors (ICIs) plus chemotherapy have been approved for patients with extensive-stage small-cell lung cancer (ES-SCLC). However, direct comparisons between first-line treatments are lacking. Therefore, we indirectly compared the efficacy and safety of specific treatment strategies to inform physicians’ and patients’ clinical decisions. Methods: The Pubmed, Cochrane, Embase, and Web of Science databases were searched from 1 January 2000 to 27 November 2022, for randomized clinical trials (RCTs) assessing first-line immuno-chemotherapies for ES-SCLC. A fixed-effect multivariable meta-regression model was established for frequentist network meta-analysis and hazard ratios (HRs) with 95% confidence intervals (95% CI) were computed to compare the effects of immuno-chemotherapies on patient overall survival (OS) and progression-free survival (PFS), while risk ratios with 95% CI were used for treatment- and immune-related adverse events (AEs). The p score values were then used to rank treatments based on their odds of being the best treatment option. The research protocol was registered with the PROSPERO (CRD42022383254). Results: Seven studies involving 3822 patients were eligible for analysis. Serplulimab plus chemotherapy had better OS outcomes compared to chemotherapy (HR = 0.63; 95% CI: 0.49–0.82) and ipilimumab plus chemotherapy (HR = 0.67; 95% CI: 0.50–0.90). It additionally exhibited better PFS outcomes compared to chemotherapy (HR = 0.48; 95% CI: 0.39–0.60), adebrelimab (HR = 0.72; 95% CI: 0.53–0.97), atezolizumab (HR = 0.62; 0.46–0.85), durvalumab (HR = 0.60; 95% CI: 0.45–0.80), durvalumab and tremelimumab (HR = 0.57; 95% CI: 0.43–0.76), ipilimumab (HR = 0.57; 95% CI: 0.44–0.73), and pembrolizumab (HR = 0.64; 95% CI: 0.48–0.86) plus chemotherapy. Serplulimab plus chemotherapy was linked to the greatest odds of effectively reducing the odds of death ( p score = 0.87) and progression ( p score = 0.99) while exhibiting a good safety profile. Conclusion: Serplulimab plus chemotherapy exhibited the best survival outcomes with manageable AEs. Thus, serplulimab plus chemotherapy may represent the optimal best first-line treatment option for ES-SCLC patients.
The new combination of oxygen saturation with age shock index predicts the outcome of COVID-19 pneumonia
Authors: Oh Sangyeop , Lee Kyoungmi 
Published: October 2023

Introduction: Emergency departments around the world have been struggling to deal with patients with COVID-19 and presumed COVID-19. Triaging patients who need further medical support is the key matter to emergency physicians as the delay of proper treatment may worsen the results. The aim of this study was to validate the ability of age shock index and hypoxia-age-shock index at the time of presentation to the emergency department to predict case fatality in patients with COVID-19 pneumonia. Methods: We only included patients who had COVID-19-associated pneumonia who needed in-hospital treatment. The vital signs and oxygen saturation used in the study were collected, especially from the triage sector, before patients were given supplemental oxygen. Results: A total of 241 patients enrolled in the study. The case fatality rate was 27%. The median age of the study samples was 78 (66–86) years with 133 male and 108 female patients. Hypoxia-age-shock index showed the best performance in analysis (odds ratio 15.1, 95% confidence interval: 5.1–44.4; adjusted odds ratio 8.6, 95% confidence interval: 2.8–26.8). Conclusion: The hypoxia-age-shock index was a strong predictor for in-hospital mortality of COVID-19 pneumonia. Furthermore, when it was compared with age shock index, hypoxia-age-shock index showed better performance in predicting fatality of the disease.
Endobronchial valve treatment in chronic obstructive pulmonary disease: A qualitative study of patients’ expectations
Authors: Farver-Vestergaard Ingeborg , Mousing Camilla Askov , Løkke Anders , Bock Kathrine , Christensen Thomas Decker , Bendixen Morten , Bendstrup Elisabeth , Jørgensen Lotte Hasling Kodbøl , King Karoline Litrup 
Published: October 2023

Objectives: Endobronchial valve (EBV) treatment is a treatment option for selected patients with severe chronic obstructive pulmonary disease (COPD) to reduce dyspnea and improve quality of life. However, the procedure is associated with risk of complications, and not all patients achieve the expected outcomes. The present study explores patients’ expectations while waiting for EBV treatment. Methods: Fifteen patients accepted for EBV treatment at Aarhus University Hospital in Denmark from October 2020 to June 2021 participated in a 30-min, semi-structured interview about (1) the experience of living with COPD and (2) expectations regarding EBV. Results: Four themes were identified: a life of reduced quality; hopes and expectations; information about EBV; and perception of risks. Most patients described their lives as not worth living, and they hoped that EBV would give them their physical and social lives back, while also being aware that EBV would probably not work miracles. Patients’ information seeking was influenced by their hopes and expectations to the treatment. They filtered out negative information, focusing on the hope for a positive outcome. This made them willing to run the risk of complications. Conclusion: Living a life of considerably reduced quality, patients might have an increased focus on potential positive effects of EBV treatment while filtering out information about potential side effects. This might bias their decision-making process.
Stroke Subtype Among Individuals With Chronic Kidney Disease
Authors: Noor Salmi T. , Bota Sarah E. , Clarke Anna E. , Petrcich William , Kelly Dearbhla , Knoll Greg , Hundemer Gregory L. , Canney Mark , Tanuseputro Peter , Sood Manish M. 
Published: October 2023

Background: It is widely accepted that there is a stepwise increase in the risk of acute ischemic stroke with chronic kidney disease (CKD). However, whether the risk of specific ischemic stroke subtypes varies with CKD remains unclear. Objective: To assess the association between ischemic stroke subtypes (cardioembolic, arterial, lacunar, and other) classified using the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) and CKD stage. Design: retrospective cohort study. Setting: Ontario, Canada. Patients: A total of 17 434 adults with an acute ischemic stroke in Ontario, Canada between April 1, 2002 and March 31, 2013, with an estimated glomerular filtration rate (eGFR) measurement or receipt of maintenance dialysis captured in a stroke registry were included. Measurements: Kidney function categorized as an eGFR of ≥60, 30-59, <30 mL/min/1.73 m2, or maintenance dialysis. Ischemic stroke classified by TOAST included arterial, cardioembolic, lacunar, and other (dissection, prothrombotic state, cortical vein/sinus thrombosis, and vasculitis) types of strokes. Methods: Adjusted regression models. Results: In our cohort, 58.9% had an eGFR of ≥60, 34.7% an eGFR of 30-59, 6.0% an eGFR of <30 and 0.5% were on maintenance dialysis (mean age of 73 years; 48% women). Cardioembolic stroke was more common in patients with non-dialysis-dependant CKD (eGFR 30-59: 50.4%, adjusted odds ratio [OR] 1.20, 95% confidence interval [CI]: 1.02, 1.44; eGFR<30: 50.6%, OR 1.21, 95% CI: 1.02, 1.44), whereas lacunar stroke was less common (eGFR 30-59: 22.7% OR 0.85, 95% CI: 0.77, 0.93; eGFR <30: 0.73, 95% CI: 0.61, 0.88) compared with those with an eGFR ≥60. In stratified analyses by age and CKD, lacunar strokes were more frequent in those aged less than 65 years, whereas cardioembolic was higher in those aged 65 years and above. Limitations: TOAST classification was not captured for all patients. Conclusion: Non-dialysis CKD was associated with a higher risk of cardioembolic stroke, whereas an eGFR ≥60 mL/min/1.73 m2 was associated with a higher risk of lacunar stroke. Detailed stroke subtyping in CKD may therefore provide mechanistic insights and refocus treatment strategies in this high-risk population.
Evaluation and Enhancement of Triaging Services Through Quality Improvement Tools at Primary Health Care Level: A Clinical Audit Study
Authors: Majeed Ansif Pallath , Alkubaisi Noora , Harikumar Kiran , Al Mujalli Hanan , Ali Shah Abdul , Khan Sharifullah , Sarip Socor Soraimah 
Published: October 2023

Background: The effective and efficient operation of emergency services at healthcare depends on triage decisions. Successfully implementing a triage system improves patient care, communication, and self-assurance. Methods: A baseline audit was conducted by reviewing a sample of 554 triage health records in September 2021. Many gaps were identified in the practice, and action plans were developed for improving it. Following the implementation of the action plan, a re-audit was conducted in September 2022 with a sample of 470 medical records. Results: Evidence suggested that nurses had made progress in correctly allocating the medical emergency triage category from 63% at baseline to 90% at the reaudit. The over-triage decreased in accordance with this adjustment, from 37% to 10%. Compliance with the suggested time target of 5 minutes for physicians to attend medical emergencies has shown a small improvement from 48% at baseline to 55% in the re-audit. Similar improvements were demonstrated in the other triage categories. Conclusion: A problem may have several causes, and since it is impossible to address every one of them, prioritizing the causes is usually the best course of action. Inadequate triage classification by nurses was one of the key reasons for the delay in physician appointment times in triage clinics. Triage nurses’ abilities should be enhanced to make this triage judgment. The audit team suggested that nurses should be given problem-based training, which will enhance the entire triage procedure.
Impact of Advanced Cardiac Sonographers on Exam Completeness in the Echocardiography Laboratory
Authors: Guthrie Joy D. , Bierig Serena M. 
Published: October 2023

Objective: Laboratory accreditation has been shown to impact variability and completeness. However, little data exist demonstrating the impact of personnel credentialing on completeness and efficiency. Therefore, the aim of this study was to evaluate exam completeness and efficiency among staff with an advanced cardiac sonographer (ACS) credential, Registered Diagnostic Cardiac Sonographer or Registered Cardiac Sonographer and noncredentialed staff. Materials and Methods: Retrospective review of adult and pediatric echocardiograms at eight facilities in three states. Exam completeness was compared with Intersocietal Accreditation Commission (IAC) standards and completeness by pathology was compared with the American Society of Echocardiography (ASE) standards. Results: This study was based on the review of 1147 patient cases. Of the cases reviewed, 60.3% were performed by credentialed (non-ACS) sonographers, 28.3% were completed by credentialed ACS, and 11.3% by noncredentialed staff. The credentialed staff completed exams ≤ 12 hours. The exams were reviewed for compliance with IAC standards and completed by ACS staff: 80.0% in aortic stenosis and 55.6% in non-ACS staff. Those patient cases for mitral regurgitation (14/19) were 73.7% IAC compliant, cases completed by credentialed non-ACS (20/56) were 35.7% compliant, and those completed by noncredentialed sonographers (2/11) only 18.2% were compliant. Cases specific to patent ductus arteriosus were 92.1% compliant with IAC standards that were completed by ACS compared with 77.9% completed by non-ACS staff. Cases of pulmonary hypertension were also evaluated for IAC compliance and 61.8% met the standard with ASE versus 41.7% completed by non-ACS. Conclusion: Examinations performed by ACS are more often complete in important pathology. Examination efficiency is highest among credentialed sonographers.
Different effects of medications for hypertension on renal function between patients with and without diabetes mellitus undergoing percutaneous coronary intervention: a retrospective single-center cohort study
Authors: Kanda Daisuke , Takumi Takuro , Tokushige Akihiro , Ikeda Yoshiyuki , Ohishi Mitsuru 
Published: October 2023

Abstract
Background
Diabetes mellitus (DM) and hypertension are well-known atherosclerosis risk factors. Furthermore, renal dysfunction is a crucial risk factor for patients with coronary artery disease (CAD), and managing renal function in these patients is complicated because of comorbid conditions and potential side effects during treatment. Therefore, this study aimed to investigate the effect of medications for hypertension on renal function after percutaneous coronary intervention (PCI) between patients with and without DM with statins.

Methods
In 297 consecutive patients undergoing PCI for stable angina pectoris, cystatin C (CysC) was evaluated at baseline and 9 months after PCI, and the percent change in CysC (%CysC) was calculated. The association of worsening renal function (WRF: %CysC ≥ 0) and baseline characteristics, including medications, was assessed.

Results
Among 297 hypertensive patients with statins, 196 and 101 were with and without DM, respectively. Angiotensin-converting enzyme inhibitor (ACEI), angiotensin II receptor blocker, and β-blocker were prescribed in 56 (29%), 82 (42%), and 91 (46%) patients in the DM group, and 20 (20%), 52 (51%), and 52 (51%) in the non-DM group, respectively. The patients with WRF after PCI were 100 (51%) and 59 (58%) in the DM and non-DM groups (p = 0.261). Additionally, the %CysC had no significant differences between groups [median: 0%, interquartile range (IQR): -7.9% to 8.5% vs. median: 1.1%, IQR: -6.6% to 9.6%, p = 0.521]. Multivariate logistic analysis for WRF using relevant factors from univariate analysis showed that only β-blocker [odds ratio (OR): 2.76, 95% confidence interval (CI): 1.03–7.90, p = 0.048] was independently associated with WRF in the DM group whereas ACEI (OR: 0.07, 95% CI: 0.01–0.47, p = 0.012) was negatively correlated with WRF in the non-DM group.

Conclusion
The β-blocker was the independent risk factor for WRF in patients with DM in the late phase after PCI for stable angina pectoris, while the use of ACEI had a renoprotective effect in patients without DM.
Outbreak detection algorithms based on generalized linear model: a review with new practical examples
Authors: Zareie Bushra , Poorolajal Jalal , Roshani Amin , Karami Manoochehr 
Published: October 2023

AbstractPublic health surveillance serves a crucial function within health systems, enabling the monitoring, early detection, and warning of infectious diseases. Recently, outbreak detection algorithms have gained significant importance across various surveillance systems, particularly in light of the COVID-19 pandemic. These algorithms are approached from both theoretical and practical perspectives. The theoretical aspect entails the development and introduction of novel statistical methods that capture the interest of statisticians. In contrast, the practical aspect involves designing outbreak detection systems and employing diverse methodologies for monitoring syndromes, thus drawing the attention of epidemiologists and health managers. Over the past three decades, considerable efforts have been made in the field of surveillance, resulting in valuable publications that introduce new statistical methods and compare their performance. The generalized linear model (GLM) family has undergone various advancements in comparison to other statistical methods and models. This study aims to present and describe GLM-based methods, providing a coherent comparison between them. Initially, a historical overview of outbreak detection algorithms based on the GLM family is provided, highlighting commonly used methods. Furthermore, real data from Measles and COVID-19 are utilized to demonstrate examples of these methods. This study will be useful for researchers in both theoretical and practical aspects of outbreak detection methods, enabling them to familiarize themselves with the key techniques within the GLM family and facilitate comparisons, particularly for those with limited mathematical expertise.