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Sarcoidosis, Vasculitis, and Diffuse... Jun 2024Cardiac sarcoidosis is associated with significant morbidity and mortality. Immunosuppressive treatment focuses on suppressing myocardial inflammation, which can lead to...
Cardiac sarcoidosis is associated with significant morbidity and mortality. Immunosuppressive treatment focuses on suppressing myocardial inflammation, which can lead to major adverse events especially when progressing to fibrosis. Conventional management usually includes steroids and steroid sparing agents such as methotrexate and azathioprine. Tumour necrosis factor alpha inhibitors are often reserved for those with a worsening clinical status and/or evidence of persistent inflammatory activity despite conventional therapy. Refractory cardiac sarcoidosis (CS) can be defined as the persistence or progression of active disease, evidenced either by lack of clinical response or persistence or progression of imaging abnormalities, despite being on conventional therapy. In the United Kingdom, tumour necrosis factor alpha inhibitors are currently not licensed for cardiac sarcoidosis as there are no randomised controlled trials to assess the efficacy of infliximab in this patient cohort. In this study, we present the outcomes of six patients treated with infliximab for refractory cardiac sarcoidosis at Royal Brompton Hospital and performed a systematic review of the existing literature on use of infliximab in cardiac sarcoidosis. We searched the Cochrane Library, OVID Medline, OVID Embase, Web of Science and Pubmed to identify 7 full-text studies assessing the role of infliximab in the management of cardiac sarcoidosis. Infliximab was found to play a vital role in stabilising refractory cardiac sarcoidosis by stemming clinical deterioration, arrythmia burden and even reducing steroids requirements. Further prospective trial data is necessary to validate these findings.
PubMed: 38940716
DOI: 10.36141/svdld.v41i2.14484 -
Neurosurgery Jun 2024Significant evidence has indicated that the reporting quality of novel predictive models is poor because of confounding by small data sets, inappropriate statistical...
BACKGROUND AND OBJECTIVES
Significant evidence has indicated that the reporting quality of novel predictive models is poor because of confounding by small data sets, inappropriate statistical analyses, and a lack of validation and reproducibility. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement was developed to increase the generalizability of predictive models. This study evaluated the quality of predictive models reported in neurosurgical literature through their compliance with the TRIPOD guidelines.
METHODS
Articles reporting prediction models published in the top 5 neurosurgery journals by SCImago Journal Rank-2 (Neurosurgery, Journal of Neurosurgery, Journal of Neurosurgery: Spine, Journal of NeuroInterventional Surgery, and Journal of Neurology, Neurosurgery, and Psychiatry) between January 1st, 2018, and January 1st, 2023, were identified through a PubMed search strategy that combined terms related to machine learning and prediction modeling. These original research articles were analyzed against the TRIPOD criteria.
RESULTS
A total of 110 articles were assessed with the TRIPOD checklist. The median compliance was 57.4% (IQR: 50.0%-66.7%). Models using machine learning-based models exhibited lower compliance on average compared with conventional learning-based models (57.1%, 50.0%-66.7% vs 68.1%, 50.2%-68.1%, P = .472). Among the TRIPOD criteria, the lowest compliance was observed in blinding the assessment of predictors and outcomes (n = 7, 12.7% and n = 10, 16.9%, respectively), including an informative title (n = 17, 15.6%) and reporting model performance measures such as confidence intervals (n = 27, 24.8%). Few studies provided sufficient information to allow for the external validation of results (n = 26, 25.7%).
CONCLUSION
Published predictive models in neurosurgery commonly fall short of meeting the established guidelines laid out by TRIPOD for optimal development, validation, and reporting. This lack of compliance may represent the minor extent to which these models have been subjected to external validation or adopted into routine clinical practice in neurosurgery.
PubMed: 38940578
DOI: 10.1227/neu.0000000000003074 -
Clinical Otolaryngology : Official... Jun 2024As patients nowadays tend to have multiple diseases and complex medical histories, our aim was to identify high-quality, non-instrumental dysphagia screening tools used... (Review)
Review
INTRODUCTION
As patients nowadays tend to have multiple diseases and complex medical histories, our aim was to identify high-quality, non-instrumental dysphagia screening tools used for the detection of adult dysphagia cases in all disease categories in acute-care settings.
METHOD
A literature search was conducted in five databases from each database's earliest inception to 31 July 2021 and guided by five keywords: 'dysphagia', 'deglutition', 'screening', 'test' and 'measure'. Without limiting the search in any specific disease category, reviewers assessed original studies and identified tools if they had been validated against instrumental evaluations and if they had been designed as a pass-fail procedure to screen whether dysphagia is absent or present. We further excluded any tool if it was (1) for pediatric focus, or (2) a patient self-report questionnaire. All final tool candidates underwent a methodological quality appraisal using the Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2).
RESULT
Out of 195 studies with 165 tools identified, 20 tool candidates underwent QUADAS-2 review. We found six high-quality, non-instrumental screening tools for detecting adult dysphagia cases in acute-care settings, including the Yale Swallow Protocol, Gugging Swallowing Screen, Toronto Bedside Swallowing Screening Test (both English and Portuguese versions), Sapienza Global Bedside Evaluation of Swallowing and Two-Step Thickened Water Test. These high-quality tools were developed primarily for patients with stroke. Only Yale Swallow Protocol was originally tested for heterogeneous populations with stroke, multiple sclerosis, traumatic brain injury, oesophageal surgery, neurosurgery and head-and-neck cancer.
CONCLUSIONS
The results highlight the gap in the unavailability of high-quality dysphagia screening tool in several emerged high-risk populations including elderly inpatients, or patients following endotracheal extubation. Further research is needed to determine whether these six tools can be effectively applied across different high-risk populations in acute-care settings to screen for cases finding.
PubMed: 38940226
DOI: 10.1111/coa.14194 -
Journal of Arrhythmia Jun 2024Recent evidence suggests an elevated risk of cognitive impairment and dementia in individuals with atrial fibrillation (AF), irrespective of stroke occurrence. AF, known... (Review)
Review
BACKGROUND
Recent evidence suggests an elevated risk of cognitive impairment and dementia in individuals with atrial fibrillation (AF), irrespective of stroke occurrence. AF, known to reduce brain perfusion, particularly through silent cerebral ischemia, underscores the intricate relationship between cardiac and cerebral health. The heart plays a crucial role in supporting normal brain function, and rhythm control, a standard AF treatment, has demonstrated enhancements in brain perfusion. This systematic review aimed to examine published data concerning the influence of rhythm control on brain perfusion in patients with atrial fibrillation.
METHODS
A systematic search for relevant studies was carried out in Scopus, PubMed, Cochrane Reviews, ProQuest, and EBSCOhost, spanning from their inception until April 30, 2023. Studies that specifically examined brain perfusion following any form of rhythm control in atrial fibrillation were included in the review.
RESULTS
The review encompassed 10 studies involving 436 participants. Among these, six utilized electrical cardioversion for rhythm control. The majority (8 out of 10) demonstrated that restoring sinus rhythm markedly enhances brain perfusion. In one of the two remaining studies, notable improvement was observed specifically in a region closely linked to cognition. Additionally, both studies reporting data on the Mini-Mental State Examination (MMSE) showed a consistent and significant increase in scores following rhythm control.
CONCLUSION
Successful rhythm control in AF emerges as a significant contributor to enhanced brain perfusion, suggesting a potential therapeutic avenue for reducing cognitive impairment incidence. However, further validation through larger prospective studies and randomized trials is warranted.
PubMed: 38939785
DOI: 10.1002/joa3.13056 -
Parkinson's Disease 2024Fatigue is a common and debilitating symptom affecting a significant proportion of individuals with Parkinson's disease (PD), often overshadowing even motor symptoms in... (Review)
Review
Fatigue is a common and debilitating symptom affecting a significant proportion of individuals with Parkinson's disease (PD), often overshadowing even motor symptoms in its impact on quality of life. The accurate definition and assessment of mental fatigue in PD is crucial for both clinical management and research, yet it remains a challenge due to the subjective nature of the symptom and the heterogeneity of assessment scales. This systematic review examined the existing measures of self-reported mental fatigue in PD by searching through PubMed, Embase, and Scopus databases using specific keywords from 2001 to 2024. Out of the 4182 articles found, 40 met the inclusion criteria, and 14 different scales were identified to measure self-reported fatigue in PD patients. However, most of these scales lack a consistent definition of fatigue, indicating a need for validated combinations of unidimensional and multidimensional scales to accurately assess mental fatigue in PD. The review found that it is best to use Fatigue Severity Inventory (FSI) and Multidimensional Fatigue Inventory (MdFI) to screen for severity of PD mental fatigue and Neuro-QoL Item Bank v1.0 (Neuro-QoL) to evaluate its impact on patients' lives. Furthermore, multidimensional scales Parkinson's Disease Questionnaire (PDQ) and Functional Assessment of Chronic Illness Therapy-Fatigue Scale (FACIT-F) are frequently coupled with Fatigue Severity Scale (FSS), Parkinson's Fatigue Scale (PFS), and/or Modified Fatigue Impact Scale (MFIS) due to their short length and holistic coverage of variables in patients' quality of life. Combining fatigue scales can be used for screening and scoring methods. The review also recommends validating fatigue scales translation and combining them with biomarkers to improve the accuracy and effectiveness of fatigue assessment in clinical practice. Future research should analyze correlations between fatigue scales, expand language types, and explore the link between fatigue scales and the pathophysiological basis of PD. Our findings underscore the need for a standardized approach to the measurement of fatigue in PD and set the stage for future research to consolidate assessment tools that can reliably guide treatment strategies and improve patient outcomes.
PubMed: 38939533
DOI: 10.1155/2024/9614163 -
Journal of Extracellular Biology Nov 2023Parkinsonian disorders, including Parkinson's disease (PD), multiple system atrophy (MSA), dementia with Lewy body (DLB), corticobasal syndrome (CBS) and progressive... (Review)
Review
Parkinsonian disorders, including Parkinson's disease (PD), multiple system atrophy (MSA), dementia with Lewy body (DLB), corticobasal syndrome (CBS) and progressive supranuclear palsy (PSP) are often misdiagnosed due to overlapping symptoms and the absence of precise biomarkers. Furthermore, there are no current methods to ascertain the progression and conversion of prodromal conditions such as REM behaviour disorder (RBD). Extracellular vesicles (EVs), containing a mixture of biomolecules, have emerged as potential sources for parkinsonian diagnostics. However, inconsistencies in previous studies have left their diagnostic potential unclear. We conducted a meta-analysis, following PRISMA guidelines, to assess the diagnostic accuracy of general EVs isolated from various bodily fluids, including cerebrospinal fluid (CSF), plasma, serum, urine or saliva, in differentiating patients with parkinsonian disorders from healthy controls (HCs). The meta-analysis included 21 studies encompassing 1285 patients with PD, 24 with MSA, 105 with DLB, 99 with PSP, 101 with RBD and 783 HCs. Further analyses were conducted only for patients with PD versus HCs, given the limited number for other comparisons. Using bivariate and hierarchal receiver operating characteristics (HSROC) models, the meta-analysis revealed moderate diagnostic accuracy in distinguishing patients with PD from HCs, with substantial heterogeneity and publication bias. The trim-and-fill method revealed at least two missing studies with null or low diagnostic accuracy. CSF-EVs showed better overall diagnostic accuracy, while plasma-EVs had the lowest performance. General EVs demonstrated higher diagnostic accuracy compared to CNS-originating EVs, which are more time-consuming, labour- and cost-intensive to isolate. In conclusion, while holding promise, utilizing biomarkers in general EVs for PD diagnosis remains unfeasible due to existing challenges. The focus should shift toward harmonizing the field through standardization, collaboration, and rigorous validation. Current efforts by the International Society For Extracellular Vesicles (ISEV) aim to enhance the accuracy and reproducibility of EV-related research through rigor and standardization, aiming to bridge the gap between theory and practical clinical application.
PubMed: 38939363
DOI: 10.1002/jex2.121 -
Health Care Science Jun 2023Quality of life at work is an important and widely discussed concept in the literature. Several instruments can be used to measure it, but with regard to healthcare and... (Review)
Review
Quality of life at work is an important and widely discussed concept in the literature. Several instruments can be used to measure it, but with regard to healthcare and social services, the existing instruments are not well known. A review of available instruments intending to capture the quality of life of healthcare and social services workers (QoLHSSW) is necessary to better assess their working conditions and promote programs/guidelines to improve these conditions. The aim of this study was to identify the existing instruments used in measuring QoLHSSW and explore their characteristics. Particular attention was given to instruments adapted to the province of Quebec, Canada, which enabled the determination of which instruments are adapted for the measurement of QoLHSSW in Quebec and possibly elsewhere. A systematic review of the literature was conducted according to the JBI methodological guide. The articles' selection procedure was performed according to the PRISMA flowchart. The search was conducted up to October 28, 2021, and then updated on January 25, 2023, in four databases: PsycINFO, Medline, Embase, and CINAHL. The selection and extraction were performed independently by two researchers. The analysis of the quality of the studies was performed with the COnsensus-based Standards for the selection of health Measurement Instruments. From a total of 8178 entries, 13 articles corresponding to 13 instruments were selected. Among these instruments, the common aspects that were considered were work conditions, job satisfaction, stress at work, relationship/balance, and career development. Most instruments used a 5-point Likert scale. Various validation methods were used, including reporting Cronbach's alpha for overall scale reliability; factor analysis to test construct validity; different model fit indices to test model superiority; different language comparisons to test cross-cultural validity; and qualitative expert reviews to assess content validity.
PubMed: 38939114
DOI: 10.1002/hcs2.53 -
Mayo Clinic Proceedings. Digital Health Jun 2024This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future...
This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future directions. We performed a systematic search of databases for studies describing NLP applications in thyroid conditions published in English between January 1, 2012 and November 4, 2022. In addition, we used a snowballing technique to identify studies missed in the initial search or published after our search timeline until April 1, 2023. For included studies, we extracted the NLP method (eg, rule-based, machine learning, deep learning, or hybrid), NLP application (eg, identification, classification, and automation), thyroid condition (eg, thyroid cancer, thyroid nodule, and functional or autoimmune disease), data source (eg, electronic health records, health forums, medical literature databases, or genomic databases), performance metrics, and stages of development. We identified 24 eligible NLP studies focusing on thyroid-related conditions. Deep learning-based methods were the most common (38%), followed by rule-based (21%), and traditional machine learning (21%) methods. Thyroid nodules (54%) and thyroid cancer (29%) were the primary conditions under investigation. Electronic health records were the dominant data source (17/24, 71%), with imaging reports being the most frequently used (15/17, 88%). There is increasing interest in NLP applications for thyroid-related studies, mostly addressing thyroid nodules and using deep learning-based methodologies with limited external validation. However, none of the reviewed NLP applications have reached clinical practice. Several limitations, including inconsistent clinical documentation and model portability, need to be addressed to promote the evaluation and implementation of NLP applications to support patient care in thyroidology.
PubMed: 38938930
DOI: 10.1016/j.mcpdig.2024.03.007 -
Frontiers in Nutrition 2024The controlling nutritional status score (CONUT) has been widely used for ascertaining the prognosis of various cancers. However, its use in patients with hematological... (Review)
Review
OBJECTIVE
The controlling nutritional status score (CONUT) has been widely used for ascertaining the prognosis of various cancers. However, its use in patients with hematological malignancies remains unclear. This review examined evidence on the utility of CONUT as a prognostic marker for patients with hematological malignancies.
METHODS
All cohort studies that examined the association between CONUT and outcomes of hematological malignancies and were published on the databases of Embase, Scopus, CENTRAL, Web of Science, and PubMed were searched from the inception of the databases to 30 January 2024. The primary outcome was overall survival (OS), and the secondary outcome was progression-free survival (PFS).
RESULTS
A total of 23 studies were available for review. A meta-analysis of 22 studies showed that high CONUT was significantly associated with poor OS in patients with hematological malignancies (HR: 1.95 95% CI: 1.62, 2.35 = 89%). The results remained unchanged on sensitivity and subgroup analyses based on study location, sample size, diagnosis, CONUT cutoff, and the Newcastle-Ottawa Scale score. Only six studies reported data on PFS, and the pooled analysis found that high CONUT was a significant marker for poor PFS in patients with hematological malignancies [hazards ratio (HR): 1.64 95% CI: 1.21, 2.20 = 70%]. These results, too, maintained significance in the sensitivity analysis.
CONCLUSION
CONUT is an independent predictor of poor OS in patients with hematological malignancies. The results appear to be valid across different cancer types and with different CONUT cutoffs. Scarce data also suggest that CONUT could predict PFS.
PubMed: 38938670
DOI: 10.3389/fnut.2024.1402328 -
Systematic Reviews Jun 2024The steep rise in substance use and substance use disorder (SUD) shows an urgency to assess its prevalence using valid measures. This systematic review summarizes the... (Review)
Review
BACKGROUND
The steep rise in substance use and substance use disorder (SUD) shows an urgency to assess its prevalence using valid measures. This systematic review summarizes the validity of measures to assess the prevalence of substance use and SUD in the US estimated in population and sub-population-based surveys.
METHODS
A literature search was performed using nine online databases. Studies were included in the review if they were published in English and tested the validity of substance use and SUD measures among US adults at the general or sub-population level. Independent reviews were conducted by the authors to complete data synthesis and assess the risk of bias.
RESULTS
Overall, 46 studies validating substance use/SUD (n = 46) measures were included in this review, in which 63% were conducted in clinical settings and 89% assessed the validity of SUD measures. Among the studies that assessed SUD screening measures, 78% examined a generic SUD measure, and the rest screened for specific disorders. Almost every study used a different survey measure. Overall, sensitivity and specificity tests were conducted in over a third of the studies for validation, and 10 studies used receiver operating characteristics curve.
CONCLUSION
Findings suggest a lack of standardized methods in surveys measuring and reporting prevalence of substance use/SUD among US adults. It highlights a critical need to develop short measures for assessing SUD that do not require lengthy, time-consuming data collection that would be difficult to incorporate into population-based surveys assessing a multitude of health dimensions.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO CRD42022298280.
Topics: Humans; Substance-Related Disorders; United States; Reproducibility of Results; Prevalence; Health Surveys; Surveys and Questionnaires; Sensitivity and Specificity
PubMed: 38937847
DOI: 10.1186/s13643-024-02536-x