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Nevin Manimala Statistics

Metabolomic Association and Risk Prediction With Heart Failure in Older Adults

Circ Heart Fail. 2024 Mar 1:e010896. doi: 10.1161/CIRCHEARTFAILURE.123.010896. Online ahead of print.

ABSTRACT

BACKGROUND: Older adults have markedly increased risks of heart failure (HF), specifically HF with preserved ejection fraction (HFpEF). Identifying novel biomarkers can help in understanding HF pathogenesis and improve at-risk population identification. This study aimed to identify metabolites associated with incident HF, HFpEF, and HF with reduced ejection fraction and examine risk prediction in older adults.

METHODS: Untargeted metabolomic profiling was performed in Black and White adults from the ARIC study (Atherosclerosis Risk in Communities) visit 5 (n=3719; mean age, 75 years). We applied Cox regressions to identify metabolites associated with incident HF and its subtypes. The metabolite risk score (MRS) was constructed and examined for associations with HF, echocardiographic measures, and HF risk prediction. Independent samples from visit 3 (n=1929; mean age, 58 years) were used for replication.

RESULTS: Sixty metabolites (hazard ratios range, 0.79-1.49; false discovery rate, <0.05) were associated with incident HF after adjusting for clinical risk factors, eGFR, and NT-proBNP (N-terminal pro-B-type natriuretic peptide). Mannonate, a hydroxy acid, was replicated (hazard ratio, 1.36 [95% CI, 1.19-1.56]) with full adjustments. MRS was associated with an 80% increased risk of HF per SD increment, and the highest MRS quartile had 8.7× the risk of developing HFpEF than the lowest quartile. High MRS was also associated with unfavorable values of cardiac structure and function. Adding MRS over clinical risk factors and NT-proBNP improved 5-year HF risk prediction C statistics from 0.817 to 0.850 (∆C, 0.033 [95% CI, 0.017-0.047]). The association between MRS and incident HF was replicated after accounting for clinical risk factors (P<0.05).

CONCLUSIONS: Novel metabolites associated with HF risk were identified, elucidating disease pathways, specifically HFpEF. An MRS was associated with HF risk and improved 5-year risk prediction in older adults, which may assist at at-risk population identification.

PMID:38426319 | DOI:10.1161/CIRCHEARTFAILURE.123.010896

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Nevin Manimala Statistics

Pilot Study Assessing the Safety and Acceptance of a Novel Virtual Reality System to Improve Visual Function

Semin Ophthalmol. 2024 Mar 1:1-6. doi: 10.1080/08820538.2024.2324074. Online ahead of print.

ABSTRACT

PURPOSE: To assess the feasibility of the clinical use of a novel Virtual Reality (VR) training software designed to be used for active vision therapy in amblyopic patients by determining its preliminary safety and acceptance on the visual function of healthy adults.

METHODS: Pilot study enrolling 10 individuals (3 men, 7 women, mean age: 31.8 ± 6.5 years) with a best-corrected visual acuity (BCVA) of ≥ .90 (decimal) in both eyes were evaluated before and after 20 minutes of exposure to the NEIVATECH VR system using the HTC Vive Pro Eye head mounted display. Visual function assessment included near (40 cm) and distance (6 m) cover test (CT), stereopsis, binocular accommodative facility (BAF), near point of convergence (NPC), near point of accommodation (NPA), accommodative-convergence over accommodation (AC/A) ratio and positive and negative fusional vergences. Safety was assessed using the VR Sickness Questionnaire (VRSQ) and acceptance using the Technology Acceptance Model ;(TAM). Changes in all these variables after VR exposure were analyzed.

RESULTS: Short-term exposure to the NEIVATECH VR system only induced statistically significant changes in distance phoria (p = .016), but these changes were not clinically relevant. No significant changes were observed in VRSQ oculo-motricity and disorientation scores after exposure (p = .197 and .317, respectively). TAM scores showed a good acceptance of the system in terms of perceived enjoyment and perceived ease of use, although some concerns were raised in relation to the intention-to-use domain.

CONCLUSION: Exposure to the NEIVATECH VR system does not seem to adversely affect the visual function in healthy adults and its safety and acceptance profile seems to be adequate for supporting its potential use in other populations, such as amblyopic patients.

PMID:38426308 | DOI:10.1080/08820538.2024.2324074

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Nevin Manimala Statistics

Do Alarmins Have a Role in Multiple Myeloma?

Turk J Haematol. 2024 Mar 1. doi: 10.4274/tjh.galenos.2024.2023.0469. Online ahead of print.

ABSTRACT

OBJECTIVE: Calprotectin (CLP), S100A6, and High Mobility Group Nucleosome-Binding Protein 1 (HMGN1), known as alarmins, are involved in the pathogenesis of many tumors. In this study, we aimed to inve stigate the relationship of serum CLP, S100A6, and HMGN1 levels with clinical and laboratory findings in Multiple Myeloma (MM) patients and their role in the pathogenesis of MM.

MATERIALS AND METHODS: We measured serum CLP, S100A6, and HMGN1 levels in 55 newly diagnosed patients and 32 healthy controls (HC).

RESULTS: We determined significantly decreased serum CLP, S100A6 ve HMGN1 levels in MM patients compared to HC (p=0.012, p=0.001, p=0.030, respectively). ROC analysis was used to determine a diagnostic cut-off value for serum CLP, S100A6 and HMGN1; the cut off value for CLP was <98 ng/ml (AUC = 0.663, 95% CI 0.554-0.761, p=0.009), S100A6 was <1174.5 pg/ml (AUC = 0.706, 95% CI 0.598-0.799, p=0.001), and HMGN1 was <440.18 pg/ml (AUC = 0.640, 95% CI 0.530-0.740, p:0.03). CLP level was found to be statistically significantly in light chain MM patients ( 91.58±22.57) higher than in heavy chain MM patients (79.42±15.83) (p=0.03). A negative correlation was observed between CLP and M protein, IgG, globulin, and beta 2 microglobulin (correlation coefficient: -0,361; -0,370; -0,279; -0,300, p=0,024, p=006, p=0,04, p=0,0033).

CONCLUSION: In this study, we found that serum CLP, S100A6, and HMGN1 levels were statistically lower in newly diagnosed MM patients compared to HC. These results suggest that CLP may binds to the paraprotein produced by heavy chain MM in the blood and therefore its blood levels are found to be low. Additionally, low levels of HMGN1, which is involved in DNA repair, suggest that HMGN1 may contribute to the complex genetic abnormalities found in MM.

PMID:38426298 | DOI:10.4274/tjh.galenos.2024.2023.0469

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Nevin Manimala Statistics

Improving Documentation of Firearm Access During Pediatric Emergency Visits for Suicidal Ideation

Pediatrics. 2024 Mar 1:e2023063447. doi: 10.1542/peds.2023-063447. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: Approximately half of youth suicides involve firearms. The promotion of safe firearm storage in the home through lethal means counseling reduces suicide risk. We aimed to increase the documentation of firearm access and storage among children presenting to the emergency department (ED) with suicidal ideation or self-injury to 80% within 13 months.

METHODS: We conducted a multidisciplinary quality improvement initiative to improve the documentation of firearm access and storage among children <18 years old seen in the ED for suicidal ideation or self-injury. The baseline period was February 2020 to September 2021, and interventions occurred through October 2022. Interventions included adding a templated phrase about firearm access to psychiatric social work consult notes and the subsequent modification of the note to include all firearm storage elements (ie, locked, unloaded, separate from ammunition). Statistical process control and run charts were generated monthly to monitor the documentation of firearm access and storage, which was measured through a review of keyword snippets extracted from note text.

RESULTS: We identified 2158 ED encounters for suicidal ideation or self-injury during the baseline and intervention periods. Documentation of firearm access increased from 37.8% to 81.6%, resulting in a centerline shift. Among families who endorsed firearm access, the documentation of firearm storage practices increased from 50.0% to 78.0%, resulting in a centerline shift.

CONCLUSIONS: The modification of note templates facilitated increased documentation of firearm access and storage practices for children with suicidal ideation in the ED. Future studies should assess whether improved documentation is associated with improved storage practices and reductions in firearm suicides after ED encounters.

PMID:38426287 | DOI:10.1542/peds.2023-063447

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Nevin Manimala Statistics

Decoding labour epidural analgesia and autism: Navigating the abyss between statistical significance, biological plausibility and clinical relevance

Eur J Anaesthesiol. 2024 Apr 1;41(4):257-259. doi: 10.1097/EJA.0000000000001965. Epub 2024 Mar 6.

NO ABSTRACT

PMID:38426253 | DOI:10.1097/EJA.0000000000001965

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Nevin Manimala Statistics

Burden of chickenpox complications in Poland, 2006 to 2021: A comprehensive registry-based study

Euro Surveill. 2024 Feb;29(9). doi: 10.2807/1560-7917.ES.2024.29.9.2300355.

ABSTRACT

BackgroundChickenpox, a vaccine-preventable disease caused by the varicella zoster virus, generally presents with mild symptoms but can cause complications necessitating hospitalisation. In Poland, since 2009, vaccination has been obligatory for children up to 12 years of age who are particularly vulnerable to infection and for children in their vicinity.AimTo examine the burden of chickenpox complications and the trends of hospitalisation arising from these complications over time in the Polish population.MethodsData spanning 2006-21 were sourced from the Polish Infectious Diseases Surveillance System, the Nationwide General Hospital Morbidity Study and the Statistics Poland death registry. Standardised and age-specific incidence rates, hospital discharge rates and number of deaths because of chickenpox were calculated. Moreover, the joinpoint regression model was used to analyse trends of annual hospital discharge rates.ResultsOver the analysed timeframe, 25,804 hospitalisations and 52 deaths attributable to chickenpox complications were documented, and 1.0% of chickenpox cases required hospitalisation because of chickenpox. Age-standardised hospitalisation rates varied between 2.3 and 9.6 per 100,000 population. The analysis revealed no statistically significant trend in overall hospital discharge rates from chickenpox complications. However, a notable increase in hospitalisation rates was observed in children aged 0-4 and among inhabitants of rural areas, with annual percentage changes of 4.9% and 3.4% respectively.ConclusionsOur findings suggest that the implementation of a universal chickenpox immunisation programme, supported by health education, should be considered to reduce the number of hospitalisations and nearly eliminate deaths because of chickenpox.

PMID:38426240 | DOI:10.2807/1560-7917.ES.2024.29.9.2300355

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Nevin Manimala Statistics

Effectiveness of interventions to increase healthcare workers’ adherence to vaccination against vaccine-preventable diseases: a systematic review and meta-analysis, 1993 to 2022

Euro Surveill. 2024 Feb;29(9). doi: 10.2807/1560-7917.ES.2024.29.9.2300276.

ABSTRACT

BackgroundVaccination adherence among healthcare workers (HCWs) is fundamental for the prevention of vaccine-preventable diseases (VPDs) in healthcare. This safeguards HCWs’ well-being, prevents transmission of infections to vulnerable patients and contributes to public health.AimThis systematic review and meta-analysis aimed to describe interventions meant to increase HCWs’ adherence to vaccination and estimate the effectiveness of these interventions.MethodsWe searched literature in eight databases and performed manual searches in relevant journals and the reference lists of retrieved articles. The study population included any HCW with potential occupational exposure to VPDs. We included experimental and quasi-experimental studies presenting interventions aimed at increasing HCWs’ adherence to vaccination against VPDs. The post-intervention vaccination adherence rate was set as the main outcome. We included the effect of interventions in the random-effects and subgroup meta-analyses.ResultsThe systematic review considered 48 studies on influenza and Tdap vaccination from database and manual searches, and 43 were meta-analysed. A statistically significant, positive effect was seen in multi-component interventions in randomised controlled trials (relative risk (RR) = 1.37; 95% CI: 1.13-1.66) and in observational studies (RR = 1.43; 95% CI: 1.29-1.58). Vaccination adherence rate was higher in community care facilities (RR = 1.58; 95% CI: 1.49-1.68) than in hospitals (RR = 1.24; 95% CI: 0.76-2.05).ConclusionInterventions aimed at increasing HCWs’ adherence to vaccination against VPDs are effective, especially multi-component ones. Future research should determine the most effective framework of interventions for each setting, using appropriate study design for their evaluation, and should compare intervention components to understand their contribution to the effectiveness.

PMID:38426238 | DOI:10.2807/1560-7917.ES.2024.29.9.2300276

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Nevin Manimala Statistics

Improving the measurement properties of the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R): deriving a valid measurement total for the calculation of change

Amyotroph Lateral Scler Frontotemporal Degener. 2024 Mar 1:1-10. doi: 10.1080/21678421.2024.2322539. Online ahead of print.

ABSTRACT

BACKGROUND: The Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) total score is a widely used measure of functional status in Amyotrophic Lateral Sclerosis/Motor Neuron Disease (ALS), but recent evidence has raised doubts about its validity. The objective was to examine the measurement properties of the ALSFRS-R, aiming to produce valid measurement from all 12 scale items.

METHOD: Longitudinal ALSFRS-R data were collected between 2013-2020 from 1120 people with ALS recruited from 35 centers, together with other scales in the Trajectories of Outcomes in Neurological Conditions-ALS (TONiC-ALS) study. The ALSFRS-R was analyzed by confirmatory factor analysis (CFA), Rasch Analysis (RA) and Mokken scaling.

RESULTS: No definite factor structure of the ALSFRS-R was confirmed by CFA. RA revealed the raw score total to be invalid even at the ordinal level because of multidimensionality; valid interval level subscale measures could be found for the Bulbar, Fine-Motor and Gross-Motor domains but the Respiratory domain was only valid at an ordinal level. All four domains resolved into a single valid, interval level measure by using a bifactor RA. The smallest detectable difference was 10.4% of the range of the interval scale.

CONCLUSION: A total ALSFRS-R ordinal raw score can lead to inferential bias in clinical trial results due to its non-linear nature. On the interval level transformation, more than 5 points difference is required before a statistically significant detectable difference can be observed. Transformation to interval level data should be mandatory in clinical trials.

PMID:38426231 | DOI:10.1080/21678421.2024.2322539

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Nevin Manimala Statistics

Atrophy network mapping of clinical subtypes and main symptoms in frontotemporal dementia

Brain. 2024 Mar 1:awae067. doi: 10.1093/brain/awae067. Online ahead of print.

ABSTRACT

Frontotemporal Dementia (FTD) is a disease of high heterogeneity, apathy and disinhibition present in all subtypes of FTD and imposes a significant burden on families/society. Traditional neuroimaging analysis has limitations in elucidating the network localization due to individual clinical and neuroanatomical variability. The study aims to identify the atrophy network map associated with different FTD clinical subtypes and determine the specific localization of the network for apathy and disinhibition. Eighty FTD patients [45 behavioral variant FTD (bvFTD) and 35 semantic variant progressive primary aphasia (svPPA)] and 58 healthy controls (HCs) at Xuanwu Hospital were enrolled as Dataset 1; 112 FTD patients including 50 bvFTD, 32 svPPA, and 30 non-fluent variant PPA (nfvPPA) cases, and 110 HCs from Frontotemporal Lobar Degeneration Neuroimaging Initiative (FTLDNI) dataset were included as Dataset 2. Initially, single-subject atrophy maps were defined by comparing cortical thickness in each FTD patient versus HCs. Next, the network of brain regions functionally connected to each FTD patient’s location of atrophy was determined using seed-based functional connectivity in a large (n = 1000) normative connectome. Finally, we used atrophy network mapping to define clinical subtype-specific network (45 bvFTD, 35 svPPA and 58 HCs in Dataset 1; 50 bvFTD, 32 svPPA, 30 nfvPPA and 110 HCs in Dataset 2) and symptom-specific networks [combined dataset 1 and 2, apathy without depression Vs non-apathy without depression (80:26), disinhibition Vs non-disinhibition (88:68)]. We compare the result with matched symptom networks derived from patients with focal brain lesions or conjunction analysis. Through the analysis of two datasets, we identified heterogeneity in atrophy patterns among FTD patients. However, these atrophy patterns are connected to a common brain network. The primary regions affected by atrophy in FTD included the frontal and temporal lobes, particularly the anterior temporal lobe. bvFTD connects to frontal and temporal cortical areas, svPPA mainly impacts the anterior temporal region, and nfvPPA targets the inferior frontal gyrus and precentral cortex regions. The apathy-specific network was localized in the orbital frontal cortex and ventral striatum, while the disinhibition-specific network was localized in the bilateral orbital frontal gyrus and right temporal lobe. Apathy and disinhibition atrophy networks resemble known motivational and criminal lesion networks respectively. A significant correlation was found between the apathy/disinhibition scores and functional connectivity between atrophy maps and the peak of the networks. This study localizes the common network of clinical subtypes and main symptoms in FTD, guiding future FTD neuromodulation interventions.

PMID:38426222 | DOI:10.1093/brain/awae067

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Assessment of intracranial aneurysm rupture risk using a point cloud-based deep learning model

Front Physiol. 2024 Feb 15;15:1293380. doi: 10.3389/fphys.2024.1293380. eCollection 2024.

ABSTRACT

Background and Purpose: Precisely assessing the likelihood of an intracranial aneurysm rupturing is critical for guiding clinical decision-making. The objective of this study is to construct and validate a deep learning framework utilizing point clouds to forecast the likelihood of aneurysm rupturing. Methods: The dataset included in this study consisted of a total of 623 aneurysms, with 211 of them classified as ruptured and 412 as unruptured, which were obtained from two separate projects within the AneuX morphology database. The HUG project, which included 124 ruptured aneurysms and 340 unruptured aneurysms, was used to train and internally validate the model. For external validation, another project named @neurIST was used, which included 87 ruptured and 72 unruptured aneurysms. A standardized method was employed to isolate aneurysms and a segment of their parent vessels from the original 3D vessel models. These models were then converted into a point cloud format using open3d package to facilitate training of the deep learning network. The PointNet++ architecture was utilized to process the models and generate risk scores through a softmax layer. Finally, two models, the dome and cut1 model, were established and then subjected to a comprehensive comparison of statistical indices with the LASSO regression model built by the dataset authors. Results: The cut1 model outperformed the dome model in the 5-fold cross-validation, with the mean AUC values of 0.85 and 0.81, respectively. Furthermore, the cut1 model beat the morphology-based LASSO regression model with an AUC of 0.82. However, as the original dataset authors stated, we observed potential generalizability concerns when applying trained models to datasets with different selection biases. Nevertheless, our method outperformed the LASSO regression model in terms of generalizability, with an AUC of 0.71 versus 0.67. Conclusion: The point cloud, as a 3D visualization technique for intracranial aneurysms, can effectively capture the spatial contour and morphological aspects of aneurysms. More structural features between the aneurysm and its parent vessels can be exposed by keeping a portion of the parent vessels, enhancing the model’s performance. The point cloud-based deep learning model exhibited good performance in predicting rupture risk while also facing challenges in generalizability.

PMID:38426204 | PMC:PMC10901972 | DOI:10.3389/fphys.2024.1293380