Lin's Concordance Coefficient Research Articles

Use of portable single-lead electrocardiogram device as an alternative for QTc monitoring in critically ill patients.

Acquired QT prolongation is frequent and leads to a higher mortality rate in critically ill patients. KardiaMobile 1L® (KM1L) is a portable, user-friendly single lead, mobile alternative to conventional 12-lead electrocardiogram (12-L ECG) that could be more readily available, potentially facilitating more frequent QTc assessments in intensive care units (ICU); however, there is currently no evidence to validate this potential use. We conducted a prospective diagnostic test study comparing QT interval measurement using KM1L with conventional 12-L ECG ordered for any reason in patients admitted to an ICU. We compared the mean difference using a paired t-test, agreement using Bland-Altman analysis, and Lin's concordance coefficient, numerical precision (proportion of QT measurements with <10 ms difference between KM1L and conventional 12-L ECG), and clinical precision (concordance for adequate discrimination of prolonged QTc). We included 114 patients (61.4% men, 60% cardiovascular etiology of hospitalization) with 131 12-L ECG traces. We found no statistical difference between corrected QT measurements (427 ms vs. 428 ms, p = .308). Lin's concordance coefficient was 0.848 (95% CI 0.801-0.894, p = .001). Clinical precision was excellent in males and substantial in females (Kappa 0.837 and 0.781, respectively). Numerical precision was lower in patients with vasoactive drugs (-13.99 ms), QT-prolonging drugs (13.84 ms), antiarrhythmic drugs (-12.87 ms), and a heart rate (HR) difference of ≥5 beats per minute (bpm) between devices (-11.26 ms). Our study validates the clinical viability of KM1L, a single-lead mobile ECG device, for identifying prolonged QT intervals in ICU patients. Caution is warranted in patients with certain medical conditions that may affect numerical precision.

Comparison of GFAP and UCH-L1 Measurements Using Two Automated Immunoassays (i-STAT® and Alinity®) for the Management of Patients with Mild Traumatic Brain Injury: Preliminary Results from a French Single-Center Approach.

The measurement of blood glial fibrillary acidic protein (GFAP) and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) may assist in the management of mild traumatic brain injury (mTBI). This study aims to compare GFAP and UCH-L1 values measured using a handheld device with those measured using a core laboratory platform. We enrolled 230 mTBI patients at intermediate risk of complications. Following French guidelines, a negative S100B value permits the patient to be discharged without a computed tomography scan. Plasma GFAP and UCH-L1 levels were retrospectively measured using i-STAT® and Alinity® i analyzers in patients managed within 12 h post-trauma. Our analysis indicates a strong correlation of biomarker measurements between the two analyzers. Cohen's kappa coefficients and Lin's concordance coefficients were both ≥0.7, while Spearman's correlation coefficient was 0.94 for GFAP and 0.90 for UCH-L1. Additionally, the diagnostic performance in identifying an intracranial lesion was not significantly different between the two analyzers, with a sensitivity of 100% and specificity of approximately 30%. GFAP and UCH-L1 levels measured using Abbott's i-STAT® and Alinity® i platform assays are highly correlated both analytically and clinically in a cohort of 230 patients managed for mTBI according to French guidelines.

Reproducibility of artificial intelligence-enabled plaque measurements between systolic and diastolic phases from coronary computed tomography angiography.

Current coronary CT angiography (CTA) guidelines suggest both end-systolic and mid-diastolic phases of the cardiac cycle can be used for CTA image acquisition. However, whether differences in the phase of the cardiac cycle influence coronary plaque measurements is not known. We aim to explore the potential impact of cardiac phases on quantitative plaque assessment. We enrolled 39 consecutive patients (23 male, age 66.2 ± 11.5 years) who underwent CTA with dual-source CT with visually evident coronary atherosclerosis and with good image quality. End-systolic and mid- to late-diastolic phase images were reconstructed from the same CTA scan. Quantitative plaque and stenosis were analyzed in both systolic and diastolic images using artificial intelligence (AI)-enabled plaque analysis software (Autoplaque). Overall, 186 lesions from 39 patients were analyzed. There were excellent agreement and correlation between systolic and diastolic images for all plaque volume measurements (Lin's concordance coefficient ranging from 0.97 to 0.99; R ranging from 0.96 to 0.98). There were no substantial intrascan differences per patient between systolic and diastolic phases (p > 0.05 for all) for total (1017.1 ± 712.9 mm3 vs. 1014.7 ± 696.2 mm3), non-calcified (861.5 ± 553.7 mm3 vs. 856.5 ± 528.7 mm3), calcified (155.7 ± 229.3 mm3 vs. 158.2 ± 232.4 mm3), and low-density non-calcified plaque volume (151.4 ± 106.1 mm3 vs. 151.5 ± 101.5 mm3) and diameter stenosis (42.5 ± 18.4% vs 41.3 ± 15.1%). Excellentagreement and no substantial differences were observed in AI-enabled quantitative plaque measurements on CTA in systolic and diastolic images. Following further validation, standardized plaque measurements can be performed from CTA in systolic or diastolic cardiac phase. Quantitative plaque assessment using artificial intelligence-enabled plaque analysis software can provide standardized plaque quantification, regardless of cardiac phase. • The impact of different cardiac phases on coronary plaque measurements is unknown. • Plaque analysis using artificial intelligence-enabled software on systolic and diastolic CT angiography images shows excellent agreement. • Quantitative coronary artery plaque assessment can be performed regardless of cardiac phase.

Comparison of international height and BMI-for-age growth references and their correlation with adiposity in Brazilian schoolchildren.

This study verified the diagnostic accuracy of the nutritional status classified by the international height and BMI references of the World Health Organization (WHO) (WHO/2007), International Obesity Task Force (IOTF/2012) and MULT (2023). The data pool was composed by 22737 subjects aged five to 16 years from the Santos and Porto Alegre surveys. A correlation matrix between the z-scores of the BMI references and the skinfold measurements was calculated through the Pearson correlation coefficient (r), and the subject's nutritional status was classified according to the international growth references. The accuracy for diagnosing obesity was performed separately by sex and using the 95th percentile of the triceps and subscapular skinfold sum, while Lin's concordance coefficient, Bland-Altman method and the Cohen's Kappa coefficient (Kappa) were used to verify the concordance and reliability among the BMI references. The correlation matrix showed a high positive correlation among the BMI z-scores (r ≥ 0·99) and among the skinfold measurements (r ≥ 0·86). The prevalence of stunting was higher when applying the MULT reference (3·4 %) compared with the WHO reference (2·3 %). The Bland-Altman plots showed the lowest critical difference (CD) between the height references of WHO and MULT (CD = 0·22). Among the BMI references, the WHO obesity percentile presented lower performance than MULT for boys, presenting a lower +LR value (WHO = 6·99/MULT 18 years = 10·99; 19 years = 8·99; 20 years = 8·09) for the same -LR values (0·04). Therefore, MULT reference holds promise as a valuable tool for diagnosing childhood obesity, particularly when considering sex differences. This enhances its suitability for assessing the nutritional status of Brazilian schoolchildren.

Estimation of the accuracy of GHCN-CAMS reanalysis in calculations of the intra-annual distribution of air temperature in the territory of the Sakha Republic (Yakutia)

The accuracy of GHCN-CAMS reanalysis reproduction of the intra-annual air temperature distribution was assessed for the historical (1961-1990) and current (1991-2020) climatic periods, on the scale of climatic norms of seasons and individual months. Data on 86 meteorological stations on the territory of the Sakha Republic (Yakutia), for which climatic series in both time periods were available, were used. The climatic norms of meteorological stations for both periods, as well as their change between periods, were compared with the GHCN-CAMS reanalysis data in corresponding pixels. The root mean square error, Pearson correlation coefficient, and Lin's concordance coefficient were calculated as similarity metrics. Climatic norms for meteorological stations and calculated in the GHCN-CAMS reanalysis model are closely related linearly, with a correlation coefficient above 0.9, and the highest accuracy is observed for spring months. At the same time, the quality of reanalysis reconstruction of change in climatic norms for months and seasons between periods is significantly lower; the best reanalysis accuracy is for fall and winter, and significantly lower for summer. In general, the GHCN-CAMS model can be used for calculation and forecasting applications that require intra-annual air temperature distribution.

Validation and cross-cultural adaptation of the quality of Recovery-15 questionnaire in a Spanish-speaking population in Colombia

BackgroundThe quality of recovery is an important component in the evaluation of perioperative care. To measure this, the Quality of Recovery-15 (QoR-15) scale has been validated previously. The aim of this study was to culturally, linguistically, and psychometrically adapt this scale to the Colombian Spanish language. MethodsAfter linguistic adaptation, a validation study of the psychometric properties was carried out. These included validity, reliability, and responsiveness. The scale was administered after the administration of general anaesthesia. Validity was determined by correlating with the general recovery VAS, surgical risk, surgical duration, and length of hospital stay. Structural validity was assessed using factor analysis. Test–retest and internal consistency were used to measure reliability. ResultsInterviews were conducted with 161 adults. A positive correlation was found between the Spanish version of the QoR-15 scale (QoR-15C) and VAS scores (r=0.51), and a negative correlation between the QoR-15C score and the duration of surgery (r=–0.47) and hospital stay (r=–0.62). The reliability of the scale was adequate. Cronbach's alpha was 0.74, and Lin's correlation concordance coefficient was 0.99. Confirmatory factor analysis indicated that the scale in the Colombian Spanish version does not have a single domain, whilst exploratory factor analysis indicated that the scale may measure an additional factor. ConclusionsThe QoR-15C scale for assessing the quality of recovery after general anaesthesia showed psychometric properties comparable with those of the English scale. This allows the scale to be considered for use in research and clinical practice.

Valuation of EQ-5D-5L health states from cancer patients' perspective: a feasibility study.

To assess the feasibility of estimating an EQ-5D-5L value set using a small study design in cancer patients and to compare the EQ-5D-5L values based on the preferences of cancer patients with those of the general public. Patients with clinically diagnosed cancers were recruited from two hospitals in Shanghai, China. In face-to-face interviews using the EQ-PVT survey, health states were valued by cancer patients using both cTTO and DCE methods. cTTO data was modelled alone or jointly with DCE data. Forty-eight models using different model specifications (cross-attribute level effect [CALE] and additive models), random/fixed effects model assumptions, data heteroscedasticity and censoring were estimated. The best performed model was identified in terms of monotonicity of estimated model coefficients and out-of-sample prediction accuracy. Data collected from 221 cancer patients who participated in the study were included. The hybrid CALE model using both TTO and DCE data performed best in terms of prediction accuracy (Lin's concordance coefficient = 0.989; root mean squared error = 0.058) and suggested that pain/discomfort and anxiety/depression were the most undesirable health problems. Compared to values based on general Chinese public's health preferences, the values based on cancer patients' preferences were much higher and lower for health states characterized by extreme mobility problems and severe/extreme pain or discomfort, respectively. This study demonstrated the feasibility of using a small design to develop EQ-5D-5L value sets based on cancer patients' health preferences. Since there were signs of differences between preferences of patients and general population, it may be valuable to develop patient-specific value sets and use them in clinical decision making and economic evaluations.

A comparative evaluation of three consecutive artificial intelligence algorithms released by Techcyte for identification of blasts and white blood cells in abnormal peripheral blood films.

Digital pathology artificial intelligence (AI) platforms have the capacity to improve over time through "deep machine learning." We have previously reported on the accuracy of peripheral white blood cell (WBC) differential and blast identification by Techcyte (Techcyte, Inc., Orem, UT, USA), a digital scanner-agnostic web-based system for blood film reporting. The aim of the current study was to compare AI protocols released over time to assess improvement in cell identification. WBC differentials were performed using Techcyte's online AI software on the same 124 digitized abnormal peripheral blood films (including 64 acute and 22 chronic leukaemias) in 2019 (AI1), 2020 (AI2), and 2022 (AI3), with no reassignment by a morphologist at any time point. AI results were correlated to the "gold standard" of manual microscopy, and comparison of Lin's concordance coefficients (LCC) and sensitivity and specificity of blast identification were used to determine the superior AI version. AI correlations (r) with manual microscopy for individual cell types ranged from 0.50-0.90 (AI1), 0.66-0.86 (AI2) and 0.71-0.91 (AI3). AI3 concordance with manual microscopy was significantly improved compared to AI1 for identification of neutrophils (LCC AI3 = 0.86 vs. AI1 = 0.77, p = 0.03), total granulocytes (LCC AI3 = 0.92 vs. AI1 = 0.82, p = 0.0008), immature granulocytes (LCC AI3 = 0.67 vs. AI1 = 0.38, p = 0.0014), and promyelocytes (LCC AI3 = 0.53 vs. AI1 = 0.16, p = 0.0008). Sensitivity for blast identification (n = 65 slides) improved from 97% (AI1), to 98% (AI2), to 100% (AI3), while blast specificity decreased from 24% (AI1), to 14% (AI2) to 12% (AI3). Techcyte AI has shown significant improvement in cell identification over time and maintains high sensitivity for blast identification in malignant films.

French validation of the Quality of life in Essential Tremor Questionnaire (QUEST) and the Essential Tremor Embarrassment Assessment (ETEA)

Two scales have been developed and validated in English to evaluate the impact of tremor on daily life, namely Quality of life in Essential Tremor Questionnaire (QUEST) and Essential Tremor Embarrassment Assessment (ETEA). The psychometric properties of the French version of these two scales were assessed for 117 patients with head tremor. Both scales showed excellent acceptability, very good internal consistency (Cronbach's alpha coefficient>0.8) and reproducibility (Lin concordance coefficient>0.8), satisfactory external validity and satisfactory sensitivity to change. In conclusion, the French versions of QUEST and ETEA are comprehensive, valid and reliable instruments for assessing patients with head tremor.

Concordance and validity between versions of the ADHD Conners scale for Parents

IntroductionThe Conners Scale for Parents (CRS-P) is one of the reference tools for the diagnostic assessment of Attention Deficit and Hyperactivity Disorders (ADHD). It is commonly used in both research and clinical practice. The latest edition of the Conners Parents Scale Long Version (CRS-P3L) has undergone extensive modifications but has never been compared with the 2nd edition (CRS-P2L). We aim to study the concordance between the last two editions of the CRS-P, their internal consistency, and their validity against the criteria of the ADHD-RS. MethodsThe study population was a cohort of 30 children diagnosed with ADHD participating in a clinical trial. The parents of these children completed both editions of the CRS (P2L and P3L), as well as a DSM-IV ADHD Diagnostic Criteria Rating Scale (ADHD-RS). A linear regression model with the calculation of Lin's concordance coefficient (LCC) was used to study the concordance between the scales. Internal validity was estimated with Cronbach's alpha and inter-criteria validity with Spearman's correlation coefficient. ResultsThe internal consistency found was “correct” to “good” for both editions (Cronbach alpha 0.85 and 0.77), their correlation with the ADHD-RS was medium to low (Spearman's coefficient 0.25 and 0.09). Concordance between the overall score and the sub-scores of the two editions of the same Conners scale (CRS-P2L and CRS-P3L) was fair to medium (LCC 0.29 to 0.69). ConclusionsThe third edition of the long version of the CRS-P showed very poor concordance with the previous edition. The diagnostic profile of the children seems to have evolved with the new edition, which appears to affect the interpretation of the tests.

Comparative Evaluation of Four Commercially Available Immunoassays for Therapeutic Drug Monitoring of Infliximab and Adalimumab.

Therapeutic drug monitoring (TDM) of anti-TNF-α is an important tool in clinical practice for inflammatory diseases. In this study, we have evaluated the performance of several assays for drug and antidrug antibodies (ADA) measurement in the serum. 50 sera from patients treated with infliximab (IFX) and 49 sera from patients treated with adalimumab (ADAL) were monitored with four immunoassays. We have compared Promonitor, i-Track10®, and ez-track1 assays to our gold standard Lisa Tracker® ELISA using Cohen's kappa, Passing-Bablok, and Bland-Altman analysis. The qualitative analysis evaluated by Cohen's kappa values found for IFX measurements an "almost perfect" concordance for Promonitor, "moderate" for i-Track10® and "substantial" for ez-Track1. For ADAL, kappa values were "moderate" for all tested methods. For anti-IFX, kappa values were "almost perfect" for Promonitor, "fair" for i-Track10®, and "substantial" for ez-Track1. For anti-ADAL, kappa values were "almost perfect" for all three assays. For quantitative analysis of drug measurements, Pearson's r values were all above 0.9 and Lin's concordance coefficients of all immunoassays were around 0.80. Performances of the four evaluated immunoassays were acceptable for TDM based on our laboratory experience. Nevertheless, concordance between the four methods for IFX measurement was not perfect and we recommend the use of the same assay for the follow-up of a given patient. The performances of the four immunoassays evaluated were similar and are acceptable for TDM based on our laboratory experience.

Validation of an RNAscope assay for the detection of avian influenza A virus.

Highly pathogenic avian influenza (HPAI) is an acute viral disease associated with high mortality and great economic losses. Immunohistochemistry (IHC) is a common diagnostic and research tool for the demonstration of avian influenza A virus (AIAV) antigens within affected tissues, supporting etiologic diagnosis and assessing viral distribution in both naturally and experimentally infected birds. RNAscope in situ hybridization (ISH) has been used successfully for the identification of a variety of viral nucleic acids within histologic samples. We validated RNAscope ISH for the detection of AIAV in formalin-fixed, paraffin-embedded (FFPE) tissues. RNAscope ISH targeting the AIAV matrix gene and anti-IAV nucleoprotein IHC were performed on 61 FFPE tissue sections obtained from 3 AIAV-negative, 16 H5 HPAIAV, and 1 low pathogenicity AIAV naturally infected birds, including 7 species sampled between 2009 and 2022. All AIAV-negative birds were confirmed negative by both techniques. All AIAVs were detected successfully by both techniques in all selected tissues and species. Subsequently, H-score comparison was assessed through computer-assisted quantitative analysis on a tissue microarray comprised of 132 tissue cores from 9 HPAIAV-infected domestic ducks. Pearson correlation of r = 0.95 (0.94-0.97), Lin concordance coefficient of ρc = 0.91 (0.88-0.93), and Bland-Altman analysis indicated high correlation and moderate concordance between the 2 techniques. H-score values were significantly higher with RNAscope ISH compared to IHC for brain, lung, and pancreatic tissues (p ≤ 0.05). Overall, our results indicate that RNAscope ISH is a suitable and sensitive tool for in situ detection of AIAV in FFPE tissues.

A new method for estimating the first ventilatory threshold in patients with chronic respiratory diseases: A feasibility study

BackgroundThe identification of the first ventilatory threshold (VT1) on an incremental cardiopulmonary exercise test (CPET) is useful to guide exercise reconditioning. However, determination of the VT1 is sometimes difficult in patients with chronic respiratory disease. Our hypothesis was that it would be possible to identify a “clinical threshold” based on patients’ perceptions at which they subjectively consider that they can perform endurance training during a rehabilitation programme. MethodsWorkloads at which patients identified a “clinical threshold” during a submaximal exercise were compared with workloads recorded at VT1 determined during a maximal CPET. Patients with a VT1 and/or a “clinical threshold” obtained at a workload <25 W were excluded from the analysis. ResultsA “clinical threshold” could be determined in the 86 patients included. Data from 63 patients were retained for the analysis, of which only 52 had a VT1 that could be identified. The agreement between the workloads determined at VT1 and at the “clinical threshold” was almost perfect, with a Lin's concordance coefficient (cc) of 0.82. ConclusionsIn the context of chronic respiratory diseases, it is possible to use patients’ sensations (which are by nature subjective) to identify a workload on a cycle ergometer, which corresponds to the workload at the first ventilatory threshold determined objectively during CPET.

Consistent Measurement of Parasite-Specific Antigen Levels in Sera of Patients with Neurocysticercosis Using Two Different Monoclonal Antibody (mAb)-Based Enzyme-Linked Immunosorbent Assays.

Monoclonal antibody (mAb)-based enzyme-linked immunosorbent assay (ELISA) is a complementary diagnosis technique for neurocysticercosis (NCC), which detects circulating parasite antigen (Ag) indicative of viable infection and Ag levels that correlate well with the parasite burden. In this study, we compared the performance of two Ag-ELISA techniques for the detection of NCC. We assessed the agreement between our in-house TsW8/TsW5 Ag-ELISA and the widely used B158/B60 Ag-ELISA for measuring T. solium antigen levels in the sera from 113 patients with calcified, parenchymal, and subarachnoid NCC. Concordance was demonstrated evaluating the limits of agreement (LoAs) stratified by the type of NCC. Both ELISA's detected 47/48 (97.8%) subarachnoid NCC cases. In parenchymal and calcified NCC, the B158/B60 Ag-ELISA detected 19/24 (79.2%) and 18/41 (43.9%) cases, while the TsW8/TsW5 Ag-ELISA detected 21/24 (87.5%) and 13/41 (31.7%), respectively. Parenchymal and calcified NCC obtained a perfect agreement (100%), indicating that all sample results were within the predicted LoA, while for subarachnoid NCC, the agreement was 89.6%. The high concordance between the assays was confirmed by Lin's concordance coefficient (LCC = 0.97). Patients with viable parenchymal NCC (LCC = 0.95) obtained the highest concordance between assays, followed by subarachnoid NCC (LCC = 0.93) and calcified NCC (LCC = 0.92). The TsW8/TsW5 Ag-ELISA and B158/B60 Ag-ELISA showed high Ag measurement correlations across diverse types of NCC.

Agreement between pulse oximetry and arterial oxygen saturation measurement in critical care patients during COVID-19: a cross-sectional study

Some publications suggest that pulse oximetry measurement (SpO2) might overestimate arterial oxygen saturation (SaO2) measurement in COVID-19 patients. This study aims to evaluate the agreement between SpO2 and SaO2 among COVID-19 and non-COVID-19 patients. We conducted a multicenter, prospective study including consecutive intensive care patients from October 15, 2020, to March 4, 2021, and compared for each measurement the difference between SpO2 and SaO2, also called the systematic bias. The primary endpoint was the agreement between SpO2 and SaO2 measured with the Lin concordance coefficient and illustrated using the Bland and Altman method. Factors associated with systematic bias were then identified using a generalised estimating equation. The study included 105 patients, 66 COVID-19 positive and 39 COVID-19 negative, allowing for 1539 measurements. The median age was 66 [57; 72] years with median SOFA and SAPSII scores of, respectively, 4 [3; 6] and 37 [31; 47]. The median SpO2 and SaO2 among all measurements was respectively 97 [96–99] and 94 [92–96] with a systematic bias of 0.80 [− 0.6; 2.4]. This difference was, respectively, 0.80 [− 0.7; 2.5] and 0.90 [− 0.3; 2.0] among COVID-19 positive and negative patients. Overall agreement measured with the Lin correlation coefficient was 0.65 [0.63; 0.68] with 0.61 [0.57; 0.64] and 0.53 [0.45; 0.60] among the COVID-19 positive and negative groups, respectively. Factors independently associated with the variation of the SpO2-SaO2 difference were the PaO2/FiO2 ratio and need for mechanical ventilation. In our population, agreement between SpO2 and SaO2 is acceptable. During the COVID-19 pandemic, SaO2 remains an efficient monitoring tool to characterise the level of hypoxemia and follow therapeutic interventions. As is already known about general intensive care unit patients, the greater hypoxemia, the weaker the correlation between SpO2 and SaO2.

Utility of movement disorder society-unified Parkinson's disease rating scale for evaluating effect of subthalamic nucleus deep brain stimulation.

The Movement Disorders Society (MDS)-Unified Parkinson's Disease Rating Scale (UPDRS) is increasingly used to assess motor dysfunction before and after subthalamic nucleus deep brain stimulation (STN-DBS). We, therefore, investigated whether the MDS-UPDRS can detect longitudinal changes in motor function after STN-DBS in the same way as UPDRS. We examined 21 patients with Parkinson's disease (PD) (mean age 59.2 ± 10.6 years, mean disease duration 12.0 ± 3.0 years) who underwent STN-DBS and whose motor functions were assessed by the UPDRS and MDS-UPDRS before, 3 months after, and 1 year after STN-DBS. We then evaluated the consistency between the scores of Parts II and III of the UPDRS and MDS-UPDRS during the off phase using Lin's concordance coefficient (LCC) and a Bland-Altman plot. The scores of Parts II and III of both the UPDRS and MDS-UPDRS were significantly decreased 3 months and 1 year after STN-DBS during the off phase. Scores of the UPDRS and MDS-UPDRS showed significant positive correlations before and after STN-DBS. We calculated estimated MDS-UPDRS scores from the UPDRS scores using a regression line and calculated the LCC between the MDS-UPDRS and the estimated MDS-UPDRS scores. The LCC value was 0.59-0.91, which suggests a relatively high consistency between the UPDRS and MDS-UPDRS. The Bland-Altman plot showed that differences between both scores were basically within ±1.96 standard deviations of the difference. The present preliminary study indicated that the utility of the MDS-UPDRS in evaluating motor function before and after STN-DBS demonstrates its potential equivalency to the UPDRS.

IMPROVING ACCURACY AND REPEATABILITY OF T2 MAPPING IN THE OAI DATA THROUGH EXTEND PHASE GRAPH MODELING

IMPROVING ACCURACY AND REPEATABILITY OF T2 MAPPING IN THE OAI DATA THROUGH EXTEND PHASE GRAPH MODELING

Adherence and concordance among Q‐Graders in the sensory analysis of coffees

AbstractIn any sensory analysis, it is important to investigate whether the tasters agree with each other, because they can assign scores in a correlated, but not the concordant way. This work investigated the adherence and the concordance among tasters of the coffee sensorial analysis of the Arabica and Conilon varieties, and their impacts on the final quality ratings of these varieties. The samples were obtained from regions of the Espirito Santo state, Brazil, and were evaluated by six tasters, with five repetitions and four treatments, totaling 120 observations. Nonparametric statistical techniques were used to compare the distribution of grades, and Lin's concordance coefficient was used to analyze the concordance among tasters. The Factor Analysis by Principal Components revealed that different distributions and disagreements among tasters affect, mainly, the sensorial attributes body, overall, flavor and acidity, thus changing the final result of the evaluation and, consequently, the final quality ratings of the products. These results allow new approaches in conducting the coffee sensorial analysis.Practical applicationsThe production of specialty coffees brings an excellent opportunity to add value, especially for small producers, or family producers on properties where the relief and climate make harvesting difficult, such as the mountain regions of the state of Espírito Santo, Brazil. This new perspective allows small producers to participate in contests to promote their product, which can be sold at different prices in the national and international markets. However, if the quality assessment methods suffer some kind of interference, the final evaluation may be unfair, or at least, incompatible with the reality of each product. The objective of this study is not to disqualify the current evaluation methods, but to justify improvements in these methods, which must be appreciated and improved by evaluators in the area.

Diferencia de presión arterial entre brazos: concordancia entre 2 métodos automáticos de medición simultánea y reproducibilidad entre visitas

ObjectiveAn increased interarm blood pressure difference (IAD) (≥10mmHg) has been associated with increased cardiovascular morbidity and mortality. There are few studies determining how IAD has to be measured and its reliability between visits. The objectives of our study were twofold. First, to evaluate the concordance between two automatic oscillometric devices for IAD measurement (two OMRON devices and one Microlife WatchBP™ device (WBP™)) and to analyse the reproducibility of IAD between visits in the general population attending a primary care centre. DesignDescriptive cross-sectional study of concordance between the two methods and reproducibility of IAD between two visits separated by one week. SiteParets del Vallès primary care centre (Barcelona). ParticipantsGeneral population aged 35-74 years. Interventions and main measurementsOne hundred and forty-nine patients completed the two visits. At each visit, IAD was measured three times with both methods and the mean of the three determinations was considered. Other variables such as sociodemographic and anthropometric variables, pathological antecedents and pharmacological treatment were collected through a review of the medical history and an interview with the patient. Concordance between the two devices and between visits reproducibility were calculated using the Lin concordance coefficient (CCL) for IAD expressed continuously and kappa(k) indices for IAD categorised as normal or pathological. ResultsConcordance for IAD expressed continuously was low: CCL=0.13 (0.02-0.24). Concordance was also low for IAD categorised as normal or pathological (k=−0.03 (−0.05-0.00)). Reproducibility between visits was low for both methods and for both continuous and categorised IAD: with OMRON™ CCL=0.19 (0.03-0.34) and k=−0.02 (−0.16-0.12) and for WBP™ CCL=0.14 (−0.01-0.29) and k=0.49 (0.33-0.64). ConclusionsConcordance between two automatic oscillometers in the simultaneous IAD measurement was low. Reproducibility between visits was also low for both methods.

Machine learning-optimized Combinatorial MRI scale (COMRISv2) correlates highly with cognitive and physical disability scales in Multiple Sclerosis patients.

Composite MRI scales of central nervous system tissue destruction correlate stronger with clinical outcomes than their individual components in multiple sclerosis (MS) patients. Using machine learning (ML), we previously developed Combinatorial MRI scale (COMRISv1) solely from semi-quantitative (semi-qMRI) biomarkers. Here, we asked how much better COMRISv2 might become with the inclusion of quantitative (qMRI) volumetric features and employment of more powerful ML algorithm. The prospectively acquired MS patients, divided into training (n = 172) and validation (n = 83) cohorts underwent brain MRI imaging and clinical evaluation. Neurological examination was transcribed to NeurEx™ App that automatically computes disability scales. qMRI features were computed by lesion-TOADS algorithm. Modified random forest pipeline selected biomarkers for optimal model(s) in the training cohort. COMRISv2 models validated moderate correlation with cognitive disability [Spearman Rho = 0.674; Lin's concordance coefficient (CCC) = 0.458; p < 0.001] and strong correlations with physical disability (Spearman Rho = 0.830-0.852; CCC = 0.789-0.823; p < 0.001). The NeurEx led to the strongest COMRISv2 model. Addition of qMRI features enhanced performance only of cognitive disability model, likely because semi-qMRI biomarkers measure infratentorial injury with greater accuracy. COMRISv2 models predict most granular clinical scales in MS with remarkable criterion validity, expanding scientific utilization of cohorts with missing clinical data.