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2021 ◽  
Vol 12 ◽  
Author(s):  
Arvid Herwig ◽  
Almedin Agic ◽  
Hans-Jürgen Huppertz ◽  
Randolf Klingebiel ◽  
Frédéric Zuhorn ◽  
...  

Background: Progressive supranuclear palsy (PSP) is a neurodegenerative disorder that, especially in the early stages of the disease, is clinically difficult to distinguish from Parkinson's disease (PD).Objective: This study aimed at assessing the use of eye-tracking in head-mounted displays (HMDs) for differentiating PSP and PD.Methods: Saccadic eye movements of 13 patients with PSP, 15 patients with PD, and a group of 16 healthy controls (HCs) were measured. To improve applicability in an inpatient setting and standardize the diagnosis, all the tests were conducted in a HMD. In addition, patients underwent atlas-based volumetric analysis of various brain regions based on high-resolution MRI.Results: Patients with PSP displayed unique abnormalities in vertical saccade velocity and saccade gain, while horizontal saccades were less affected. A novel diagnostic index was derived, multiplying the ratios of vertical to horizontal gain and velocity, allowing segregation of PSP from PD with high sensitivity (10/13, 77%) and specificity (14/15, 93%). As expected, patients with PSP as compared with patients with PD showed regional atrophy in midbrain volume, the midbrain plane, and the midbrain tegmentum plane. In addition, we found for the first time that oculomotor measures (vertical gain, velocity, and the diagnostic index) were correlated significantly to midbrain volume in the PSP group.Conclusions: Assessing eye movements in a HMD provides an easy to apply and highly standardized tool to differentiate PSP of patients from PD and HCs, which will aid in the diagnosis of PSP.


Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2306
Author(s):  
Antonis I. Sakellarios ◽  
Panagiotis Siogkas ◽  
Vassiliki Kigka ◽  
Panagiota Tsompou ◽  
Dimitrios Pleouras ◽  
...  

Assessments of coronary artery disease can be achieved using non-invasive computed tomography coronary angiography (CTCA). CTCA can be further used for the 3D reconstruction of the coronary arteries and the development of computational models. However, image acquisition and arterial reconstruction introduce an error which can be propagated, affecting the computational results and the accuracy of diagnostic and prognostic models. In this work, we investigate the effect of an imaging error, propagated to a diagnostic index calculated using computational modelling of blood flow and then to prognostic models based on plaque growth modelling or binary logistic predictive modelling. The analysis was performed utilizing data from 20 patients collected at two time points with interscan period of six years. The collected data includes clinical and risk factors, biological and biohumoral data, and CTCA imaging. The results demonstrated that the error propagated and may have significantly affected some of the final outcomes. The calculated propagated error seemed to be minor for shear stress, but was major for some variables of the plaque growth model. In parallel, in the current analysis SmartFFR was not considerably affected, with the limitation of only one case located into the gray zone.


Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2120
Author(s):  
Takashi Kojima ◽  
Naoki Isogai ◽  
Tomoya Nishida ◽  
Tomoaki Nakamura ◽  
Kazuo Ichikawa

The keratometer keratoconus index (KKI) is a diagnostic index for the risk of keratoconus calculated from autokeratometer test values. We partially modified the KKI equation and assessed it without limiting the target age and severity of keratoconus. This retrospective study included 179 eyes of 99 patients with keratoconus and 468 eyes from 235 normal controls. In the modified KKI, oblique astigmatism or against-the-rule astigmatism was defined as ≥1D astigmatism. KKI diagnostic power was analyzed in subgroups of <50 and ≥50-year-old patients, and at different keratoconus stages. Although the sensitivity of modified KKI was comparable with that of original KKI (92.7% vs. 95.5%), modified KKI specificity was significantly higher (79.7% vs. 68.6%) (p = 0.0001). Using the modified KKI, sensitivity reached 100% (4/4) and specificity, 63.5% (33/52), in ≥50-year-old patients, while overall sensitivity in keratoconus ≥stage 2 was 100% (30/30). In conclusion, the modified KKI proved to be effective in keratoconus screening at all stages. However, it should be noted that false-positive frequency is higher in ≥50-year-old patients.


2021 ◽  
Vol 28 (6) ◽  
Author(s):  
Gustavo Rasera ◽  
Vagner Anabor ◽  
Luiz Angelo Steffenel ◽  
Damaris Kirsch Pinheiro ◽  
Franciano Scremin Puhales ◽  
...  

Author(s):  
Scott R. Kelley ◽  
Jonathan D. D'Angelo ◽  
Anne-Lise D. D'Angelo ◽  
Kevin T. Behm ◽  
Dorin T. Colibaseanu ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fang Bao ◽  
Ming Cui ◽  
Xiuying Shi ◽  
Shaoqing Ju ◽  
Hui Cong

Abstract Background Homocysteine (Hcy) is considered to be a risk factor for cardiovascular and cerebrovascular diseases. Few studies have evaluated the distribution of Hcy on a large-scale health examination. Accordingly, this study aimed to investigate the level and distribution of Hcy in the population with healthy physical examination and the correlation with other biomarkers, and analyzed for cardiovascular and other diseases. Methods Measurements of serum Hcy, TC, TG, LDL-c, HDL-c, ALT, ALP, γ-GT, TBIL, GLU, urea, Cr, UA, and related metabolic risk factors were selected for analysis from 8063 medical examination samples collected from February 2017 to April 2020. The relationship between Hcy and other biochemical indicators were evaluated with the multivariate regression model of age, gender, smoking, drinking, body mass index (BMI), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Results Among 8063 cases, the age, BMI, SBP, and DBP of the high-Hcy group were higher than those of the low-Hcy group, the difference was statistically significant (P < 0.001), and the proportion of males, smoking, and drinking were higher than the low-Hcy group, the difference was statistically significant (P < 0.001); Hcy of the abnormal GLU group is higher than the normal GLU group (P = 0.002) and the Hcy of abnormal TG and HDL is higher than that of the normal blood lipid group (P < 0.001); Hcy of people with abnormal UA and Urea was higher than that of people with normal renal function (P < 0.001, P = 0.007). In multivariate analysis, lnHDL-C was negatively correlated with lnHcy (β = − 0.038, SE = 0.016, P = 0.019), lnCr was positively correlated with lnHcy (β = 0.055, SE = 0.016, P < 0.001), lnUA and lnHcy were positive correlated (β = 0.043, SE = 0.019, P = 0.022). Conclusion Hcy is closely related to HDL-c, Cr, and UA, which indicates that Hcy may affect the metabolism of HDL-c and UA, and can also be used as an auxiliary diagnostic index for kidney injury.


Author(s):  
Mariusz Sieminski ◽  
Marcelina Skrzypek-Czerko ◽  
Łukasz Chełminiak

Abstract Purpose Restless legs syndrome (RLS) is a serious burden for patients which can be measured in economic terms by assessing the money spent on therapy and the willingness to pay. The aim of this study was to assess whether or not patients feel satisfied with the therapy relative to the money they spent on the treatment, and to assess patients’ willingness to pay for therapy that fully eliminates all RLS symptoms. Methods Adult subjects with RLS confirmed by actual international consensus criteria, a positive RLS-Diagnostic Index (RLS-DI) score, and clinical examinations and observations were assessed to generate a disease severity index. An original set of questions was used to collect data on patient satisfaction with therapy and their willingness to pay. Results Among 100 subjects, 27% were not satisfied with therapy; this subgroup was characterized by lower indices of severity of the disease. Patients spent approximately 3% of their income in treating RLS. They are willing to pay up to 8.3% of their income to eliminate symptoms. Conclusions The cost of RLS therapy is a significant part of patient expenditure. Nevertheless, RLS may at times remain so troublesome for patients that they are willing to spend more on therapy to eliminate symptoms.


2021 ◽  
Vol 12 ◽  
Author(s):  
Rupak K. Banerjee ◽  
Sruthi Ramadurai ◽  
Shreyash M. Manegaonkar ◽  
Marepalli B. Rao ◽  
Sathyaprabha Rakkimuthu ◽  
...  

BackgroundThe current pressure-based coronary diagnostic index, fractional flow reserve (FFR), has a limited efficacy in the presence of microvascular disease (MVD). To overcome the limitations of FFR, the objective is to assess the recently introduced pressure drop coefficient (CDP), a fundamental fluid dynamics-based combined pressure–flow index.MethodsWe hypothesize that CDP will result in improved clinical outcomes in comparison to FFR. To test the hypothesis, chi-square test was performed to compare the percent major adverse cardiac events (%MACE) at 5 years between (a) FFR &lt; 0.75 and CDP &gt; 27.9 and (b) FFR &lt; 0.80 and CDP &gt; 25.4 groups using a prospective cohort study. Furthermore, Kaplan–Meier survival curves were compared between the FFR and CDP groups. The results were considered statistically significant for p &lt; 0.05. The outcomes of the CDP arm were presumptive as clinical decision was solely based on the FFR.ResultsFor the complete patient group, the %MACE in the CDP &gt; 27.9 group (10 out of 35, 29%) was lower in comparison to the FFR &lt; 0.75 group (11 out of 20, 55%), and the difference was near significant (p = 0.05). The survival analysis showed a significantly higher survival rate (p = 0.01) in the CDP &gt; 27.9 group (n = 35) when compared to the FFR &lt; 0.75 group (n = 20). The results remained similar for the FFR = 0.80 cutoff. The comparison of the 5-year MACE outcomes with the 1-year outcomes for the complete patient group showed similar trends, with a higher statistical significance for a longer follow-up period of 5 years.ConclusionBased on the MACE and survival analysis outcomes, CDP could possibly be an alternate diagnostic index for decision-making in the cardiac catheterization laboratory.Clinical Trial Registrationwww.ClinicalTrials.gov, identifier NCT01719016.


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