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Endoscopic Ultrasound 2024EUS-guided fine-needle biopsy (FNB) is an established technique for the acquisition of tissue to diagnose lesions of the gastrointestinal tract and surrounding organs....
Comparing the diagnostic adequacy of 25-Gauge fork-tip franseen reverse-bevel-type needles in EUS-guided tissue acquisition: A prospective randomized study with a retrospective control.
BACKGROUND AND OBJECTIVES
EUS-guided fine-needle biopsy (FNB) is an established technique for the acquisition of tissue to diagnose lesions of the gastrointestinal tract and surrounding organs. Recently, newer-generation FNB needles have been introduced, including a second-generation reverse-bevel and the third-generation fork-tip and Franseen needles. We aimed to determine if there was any difference between these needles in terms of cytopathological diagnostic yield, sample cellularity, or sample bloodiness.
METHODS
One hundred twenty-seven consecutive patients undergoing EUS-guided FNB of any solid lesion were randomized to use either a Franseen or fork-tip needle in a 1:1 ratio and were compared with 60 consecutive historical cases performed with reverse-bevel needles. Patient and procedure characteristics were recorded. Cases were reviewed by a blinded cytopathologist and graded based on cellularity and bloodiness. Overall diagnostic yield was calculated for each study arm.
RESULTS
One hundred seventy-six cases were eligible for analysis, including 109 pancreatic masses, 24 lymphoid lesions, 17 subepithelial lesions, and 26 other lesions. The final diagnosis was malignancy in 127 cases (72%). EUS-guided FNB was diagnostic in 141 cases (80%) overall and in 89% of cases where malignancy was the final diagnosis. There was no difference in diagnostic yield, sample cellularity, or sample bloodiness between the different needle types. There was no difference in adverse events between groups.
CONCLUSIONS
EUS-guided FNB performed using 25-gauge Franseen, fork-tip, and reverse-bevel needles resulted in similar diagnostic yield, sample cellularity, and sample bloodiness. Our results may not be extrapolated to larger-caliber needles of the same design.
PubMed: 38947121
DOI: 10.1097/eus.0000000000000025 -
Endoscopic Ultrasound 2024Endoscopic treatment of obstructive jaundice and pancreatitis due to hepaticojejunostomy (H-J), pancreatojejunostomy (P-J) strictures, and tumor recurrence after...
BACKGROUND AND OBJECTIVES
Endoscopic treatment of obstructive jaundice and pancreatitis due to hepaticojejunostomy (H-J), pancreatojejunostomy (P-J) strictures, and tumor recurrence after pancreatoduodenectomy (PD) is technically challenging. Treatment of P-J strictures results in poor outcomes. Although conventional EUS that has an oblique view is not suitable for such patients, forward-viewing EUS (FV-EUS) may become a useful option. This study aimed to evaluate the feasibility and efficacy of FV-EUS in patients who have undergone PD.
METHODS
Patients with PD who were scheduled to undergo diagnosis and treatment using FV-EUS for H-J or P-J lesions were enrolled in this single-center prospective study. After observation of the P-J and H-J using FV-EUS according to a predetermined protocol, treatment using FV-EUS was performed as needed.
RESULTS
A total of 30 patients were enrolled, and FV-EUS was used to observe P-J and H-J in 24 and 28 patients, respectively. The detection rates of P-J and H-J by endoscopy were 50% (12/24) and 96.4% (27/28), respectively, and by EUS were 70.8% (17/24) and 100% (28/28), respectively. Of these, P-J and H-J were found by endoscopy only after EUS observation in 3 and 1 patient, respectively. The success rates of endoscopic treatment using FV-EUS were 66.7% (2/3), 95.2% (20/21), and 25% (1/4) for benign P-J strictures, benign H-J strictures, and tumor recurrence, respectively.
CONCLUSIONS
Endoscopic treatment using FV-EUS is feasible and effective for patients after PD. Moreover, FV-EUS increases the P-J lesion detection rate by adding EUS observation.
PubMed: 38947114
DOI: 10.1097/eus.0000000000000027 -
Research Square Jun 2024Premature infants frequently face feeding challenges due to disrupted coordination of sucking, swallowing, and breathing, increasing their risk of dysphagia. There are...
OBJECTIVE
Premature infants frequently face feeding challenges due to disrupted coordination of sucking, swallowing, and breathing, increasing their risk of dysphagia. There are few effective treatment options available. This study aims to assess the safety of cold milk feedings in preterm infants diagnosed with uncoordinated feeding patterns and its effect on feeding performance.
STUDY DESIGN
Preterm infants with uncoordinated feeding patterns (n=26) were randomized to be fed milk at either room or cold temperature (refrigerator cold) using an experimental, randomized crossover design. We monitored axillary and gastric content temperatures, mesenteric blood flow, and feeding performance.
RESULT
The findings suggest that preterm infants can safely tolerate cold milk without any clinically significant changes in temperature or mesenteric blood flow, and it may enhance feeding performance.
CONCLUSION
Cold milk feeding could be a safe therapeutic option for preterm infants, however additional comprehensive studies are still needed. Registered at clinicaltrials.org #NCT04421482.
PubMed: 38947097
DOI: 10.21203/rs.3.rs-4504972/v1 -
MedRxiv : the Preprint Server For... Jun 2024Tongue swabs represent a potential alternative to sputum as a sample type for detecting pulmonary tuberculosis (TB) using molecular diagnostic tests. The methods used to...
UNLABELLED
Tongue swabs represent a potential alternative to sputum as a sample type for detecting pulmonary tuberculosis (TB) using molecular diagnostic tests. The methods used to process tongue swabs for testing in the WHO-recommended Xpert MTB/RIF Ultra (Xpert Ultra) assay vary greatly. We aimed to identify the optimal method for processing diagnostic tongue swabs for subsequent testing by Xpert Ultra. We compared four methods for treating dry tongue swabs with Xpert Ultra sample reagent (SR) mixed with various concentrations of Tris-EDTA-Tween (TET), to treatment with SR alone or to a commonly used SR-free heat-inactivation protocol. In each condition, swabs obtained from volunteers without TB were placed into test buffer spiked with known amounts of ( ) strain H37Rv-mc 6230. Swabs processed with 1:1 diluted SR buffer had the lowest limit of detection (LOD) at 22.7 CFU/700 µl (95% CI 14.2-31.2), followed by 2:1 diluted SR buffer at 30.3 CFU/700 µl (95% CI 19.9-40.7), neat SR at 30.9 CFU/700 µl (95% CI 21.5-40.3) and SR prefilled in the Xpert Ultra at 57.1 CFU/700 µl (95% CI 42.4-71.7). Swabs processed using the heat-based protocol had the highest LOD (77.6 CFU/700 µl; 95% CI 51.2-104.0). Similar findings were observed for LOD of RIF-susceptibility. Assay sensitivity using the 2:1 diluted SR buffer did not vary considerably in the presence of sputum matrix or phosphate buffer saline. Further studies are needed to assess the performance of this processing protocol in a clinical setting.
IMPORTANCE
Xpert MTB/RIF Ultra (Xpert Ultra) is approved by the World Health Organization for the diagnosis of tuberculosis (TB). This test is typically performed using sputum specimens obtained from people with presumptive TB. In order to inactivate and aid liquefaction, sputum must be mixed with Xpert SR prior to transfer into the Xpert Ultra. However, some people under evaluation for TB are unable to produce sputum. Alternative sample types for TB diagnosis would therefore be of value. Oral-swabs, including tongue-swabs have shown promise, but there are technical challenges associated with sample processing. In this study, several new tongue swab processing conditions were evaluated, utilizing SR, either neat or diluted in buffer. The ability of Xpert Ultra to detect TB was improved under these conditions compared with the previously published heat-processing method (1-3), processing steps were simplified, and technical challenges were overcome.
PubMed: 38947094
DOI: 10.1101/2024.06.20.24309244 -
MedRxiv : the Preprint Server For... Jun 2024Alzheimer's Disease (AD) biomarker measurement is key to aid in the diagnosis and prognosis of the disease. In the research setting, participant recruitment and...
Alzheimer's Disease (AD) biomarker measurement is key to aid in the diagnosis and prognosis of the disease. In the research setting, participant recruitment and retention and optimization of sample use, is one of the main challenges that observational studies face. Thus, obtaining accurate established biomarker measurements for stratification and maximizing use of the precious samples is key. Accurate technologies are currently available for established biomarkers, mainly immunoassays and immunoprecipitation liquid chromatography-mass spectrometry (IP-MS), and some of them are already being used in clinical settings. Although some immunoassays- and IP-MS based platforms provide multiplexing for several different coding proteins there is not a current platform that can measure all the stablished and emerging biomarkers in one run. The NUcleic acid Linked Immuno-Sandwich Assay (NULISA™) is a mid-throughput platform with antibody-based measurements with a sequencing output that requires 15µL of sample volume to measure more than 100 analytes, including those typically assayed for AD. Here we benchmarked and compared the AD-relevant biomarkers including in the NULISA against validated assays, in both CSF and plasma. Overall, we have found that CSF measures of Aß42/40, NfL, GFAP, and p-tau217 are highly correlated and have similar predictive performance when measured by immunoassay, mass-spectrometry or NULISA. In plasma, p-tau217 shows a performance similar to that reported with other technologies when predicting amyloidosis. Other established and exploratory biomarkers (total tau, p-tau181, NRGN, YKL40, sTREM2, VILIP1 among other) show a wide range of correlation values depending on the fluid and the platform. Our results indicate that the multiplexed immunoassay platform produces reliable results for established biomarkers in CSF that are useful in research settings, with the advantage of measuring additional novel biomarkers using minimal sample volume.
PubMed: 38947090
DOI: 10.1101/2024.06.13.24308895 -
Innovative COVID-19 Point-of-Care Diagnostics Suitable for Tuberculosis Diagnosis: A Scoping Review.MedRxiv : the Preprint Server For... Jun 2024Rapid and accurate point-of-care (POC) tuberculosis (TB) diagnostics are a key priority to close the TB diagnostic gap of 3.1 million people without a diagnosis....
INTRODUCTION
Rapid and accurate point-of-care (POC) tuberculosis (TB) diagnostics are a key priority to close the TB diagnostic gap of 3.1 million people without a diagnosis. Leveraging the recent surge in COVID-19 diagnostic innovation, we explored the potential adaptation of commercially available SARS-CoV-2 tests for TB diagnosis, aligning with World Health Organization (WHO) target product profiles (TPPs).
METHODS
A scoping review was conducted following PRISMA-ScR guidelines to systematically map commercially available POC molecular and antigen SARS-CoV-2 diagnostic tests potentially meeting the TPPs for TB diagnostic tests for peripheral settings. Data were gathered from PubMed/MEDLINE, bioRxiv, and medRxiv, along with publicly accessible in vitro diagnostic test databases, and developer websites, up to November 23, 2022. Data on developer and test attributes, operational characteristics, pricing, and clinical performance were charted using standardized data extraction forms. Each identified test was evaluated using a standardized scorecard. A narrative synthesis of the charted data is presented.
RESULTS
Our database search yielded 2,003 studies, from which 408 were considered eligible. Among these, we identified 58 commercialized diagnostic devices, including 17 near-POC antigen tests, one POC molecular test, 29 near-POC molecular tests, and 11 low-complexity molecular tests. We summarized the detailed characteristics, regulatory status, and clinical performance data of these tests. The LumiraDx (Roche, Switzerland) emerged as the highest- scoring near-POC antigen platform, while Visby (Visby, USA) was the highest-performing near-POC molecular platform. The Lucira Check-It (Pfizer, USA) was noted as the sole POC molecular test. The Idylla (Biocartis, Switzerland) was identified as the leading low- complexity molecular test.
DISCUSSION
We highlight a diverse landscape of commercially available diagnostic tests suitable for potential adaptation to TB POC testing. This work aims to bolster global TB initiatives by fostering stakeholder collaboration, leveraging COVID-19 diagnostic technologies for TB diagnosis, and uncovering new commercial avenues to tackle longstanding challenges in TB diagnosis.
PubMed: 38947060
DOI: 10.1101/2024.06.13.24308880 -
Research Square Jun 2024Accurate prediction of the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is crucial for disease management. Machine learning techniques...
Accurate prediction of the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is crucial for disease management. Machine learning techniques have demonstrated success in classifying AD and MCI cases, particularly with the use of resting-state functional magnetic resonance imaging (rs-fMRI) data.This study utilized three years of rs-fMRI data from the ADNI, involving 142 patients with stable MCI (sMCI) and 136 with progressive MCI (pMCI). Graph signal processing was applied to filter rs-fMRI data into low, middle, and high frequency bands. Connectivity-based features were derived from both filtered and unfiltered data, resulting in a comprehensive set of 100 features, including global graph metrics, minimum spanning tree (MST) metrics, triadic interaction metrics, hub tendency metrics, and the number of links. Feature selection was enhanced using particle swarm optimization (PSO) and simulated annealing (SA). A support vector machine (SVM) with a radial basis function (RBF) kernel and a 10-fold cross-validation setup were employed for classification. The proposed approach demonstrated superior performance, achieving optimal accuracy with minimal feature utilization. When PSO selected five features, SVM exhibited accuracy, specificity, and sensitivity rates of 77%, 70%, and 83%, respectively. The identified features were as follows: (Mean of clustering coefficient, Mean of strength)/Radius/(Mean Eccentricity, and Modularity) from low/middle/high frequency bands of graph. The study highlights the efficacy of the proposed framework in identifying individuals at risk of AD development using a parsimonious feature set. This approach holds promise for advancing the precision of MCI to AD progression prediction, aiding in early diagnosis and intervention strategies.
PubMed: 38947050
DOI: 10.21203/rs.3.rs-4549428/v1 -
Research Square Jun 2024Hypermobile Ehlers-Danlos syndrome (hEDS) is a common heritable connective tissue disorder that lacks a known genetic etiology. To identify genetic contributions to...
Hypermobile Ehlers-Danlos syndrome (hEDS) is a common heritable connective tissue disorder that lacks a known genetic etiology. To identify genetic contributions to hEDS, whole exome sequencing was performed on families and a cohort of sporadic hEDS patients. A missense variant in (KLK15 p. Gly226Asp , segregated with disease in two families and genetic burden analyses of 197 sporadic hEDS patients revealed enrichment of variants within the gene family. To validate pathogenicity, the variant identified in familial studies was used to generate knock-in mice. Consistent with our clinical cohort, mice displayed structural and functional connective tissue defects within multiple organ systems. These findings support gene variants in the pathogenesis of hEDS and represent an important step towards earlier diagnosis and better clinical outcomes.
PubMed: 38947032
DOI: 10.21203/rs.3.rs-4547888/v1 -
MedRxiv : the Preprint Server For... Jun 2024Obstructive sleep apnea (OSA) negatively impacts post-stroke recovery. This study's purpose: examine the prevalence of undiagnosed OSA and describe a simple tool to...
BACKGROUND
Obstructive sleep apnea (OSA) negatively impacts post-stroke recovery. This study's purpose: examine the prevalence of undiagnosed OSA and describe a simple tool to identify those at-risk for OSA in the early phase of stroke recovery.
METHODS
This was a cross-sectional descriptive study of people ∼15 days post-stroke. Adults with stroke diagnosis admitted to inpatient rehabilitation over a 3-year period were included if they were alert/arousable, able to consent/assent to participation, and excluded if they had a pre-existing OSA diagnosis, other neurologic health conditions, recent craniectomy, global aphasia, inability to ambulate 150 feet independently pre-stroke, pregnant, or inability to understand English. OSA was deemed present if oxygen desaturation index (ODI) of >=15 resulted from overnight oximetry measures. Prevalence of OSA was determined accordingly. Four participant characteristics comprised the "BASH" tool (body mass index >=35, age>=50, sex=male, hypertension=yes). A receiver operator characteristics (ROC) curve analysis was performed with BASH as test variable and OSA presence as state variable.
RESULTS
Participants (n=123) were 50.4% male, averaged 64.12 years old (sd 14.08), and self-identified race as 75.6% White, 20.3% Black/African American, 2.4%>1 race, and 1.6% other; 22% had OSA. ROC analysis indicated BASH score >=3 predicts presence of OSA (sensitivity=0.778, specificity=0.656, area under the curve =0.746, p<0.001).
CONCLUSIONS
Prevalence of undiagnosed OSA in the early stroke recovery phase is high. With detection of OSA post-stroke, it may be possible to offset untreated OSA's deleterious impact on post-stroke recovery of function. The BASH tool is an effective OSA screener for this application.
PubMed: 38947016
DOI: 10.1101/2024.06.16.24309011 -
MedRxiv : the Preprint Server For... Jun 2024Individuals with major depressive disorder (MDD) can experience reduced motivation and cognitive function, leading to challenges with goal-directed behavior. When...
Individuals with major depressive disorder (MDD) can experience reduced motivation and cognitive function, leading to challenges with goal-directed behavior. When selecting goals, people maximize 'expected value' by selecting actions that maximize potential reward while minimizing associated costs, including effort 'costs' and the opportunity cost of time. In MDD, differential weighing of costs and benefits are theorized mechanisms underlying changes in goal-directed cognition and may contribute to symptom heterogeneity. We used the Effort Foraging Task to quantify cognitive and physical effort costs, and patch leaving thresholds in low effort conditions (hypothesized to reflect perceived opportunity cost of time) and investigated their shared versus distinct relationships to clinical features in participants with MDD (N=52, 43 in-episode) and comparisons (N=27). Contrary to our predictions, none of the decision-making measures differed with MDD diagnosis. However, each of the measures were related to symptom severity, over and above effects of ability (i.e., performance). Greater anxiety symptoms were selectively associated with cognitive effort cost (i.e. greater willingness to exert effort). Anhedonia symptoms were associated with increased physical effort costs. Finally, greater physical anergia was related to decreased patch leaving thresholds. Markers of effort-based decision-making may inform understanding of MDD heterogeneity. Increased willingness to exert cognitive effort may contribute to anxiety symptoms such as rumination and worry. The association of decreased leaving thresholds with symptom severity is consistent with reward rate-based accounts of reduced vigor in MDD. Future research should address subtypes of depression with or without anxiety, which may relate differentially to cognitive effort decisions.
PubMed: 38947009
DOI: 10.1101/2024.02.18.24302985