Clinical Assessment Tool Research Articles

Validating a brief Empathy Quotient Test with adolescents from Mexico

Empathy is a skill that enables the identification with and interpretation of others' subjective experiences. The purpose of this study was to validate the Empathy Quotient (EQ) in adolescents in Mexico. A sample of 573 Mexican adolescent students (350 female and 223 male) with an age range of 12-19 years was employed (Mage= 14.8 years, SD= 1.96). An exploratory factor analysis (EFA) was carried out which identified two factors, one with 16 items associated with the affective dimension and one with 13 items related to the cognitive dimension (model fit indices: GFI= .984, RMSEA= .034, and RMSR= .072). To evaluate the resultant bifactor model, a confirmatory factor analysis (CFA) was performed, showing good fit indexes (RMSEA= .020, RMSR= .045, CFI= .998, GFI= .988). Regarding internal consistency, we found a McDonald's ω correlation coefficient of= .941 for the affective dimension and ω= .772 for the cognitive dimension, with p< .001. The validation of this empathy instrument will support its use as a clinical research assessment tool in Mexican adolescents.

Diagnostic Ambiguities and Underuse of Clinical Assessment Tools: A Systematic Review of Case Reports on Kratom Addiction and Physical Dependence

Diagnostic Ambiguities and Underuse of Clinical Assessment Tools: A Systematic Review of Case Reports on Kratom Addiction and Physical Dependence

Psychometric properties of a clinical assessment tool in the postgraduate midwifery programme, Botswana

The psychometric properties of a clinical assessment tool used in the postgraduate midwifery programme in Botswana have not been evaluated. A lack of reliable and valid clinical assessment tools contributes to inconsistencies in clinical assessment in midwifery programmes. This study aimed to evaluate the internal consistency and content validity of a clinical assessment tool used in the postgraduate midwifery programme in Botswana. For internal consistency, we calculated the total-item correlation and Cronbach's alpha coefficient. For content validity, subject matter experts completed a checklist to evaluate the relevance and clarity of each competency in the clinical assessment tool. The checklist included questions with Likert-scale responses, indicating the level of agreement. The clinical assessment tool had a good reliability, with a Cronbach's alpha of 0.837. The corrected item total correlation values ranged from -0.043 to 0.880 and the Cronbach's alpha (if item deleted) ranged from 0.079 to 0.865. Overall content validity ratio was 0.95, and content validity index was 0.97. Item content validity indices ranged from 0.8 to 1.0. The overall scale content validity index was 0.97 and the scale content validity index using universal agreement was 0.75. The clinical assessment tool used in the postgraduate midwifery programme in Botswana has acceptable reliability. Most of the competencies included in the clinical assessment tool were relevant and clear. Certain competencies need to be reviewed to improve the reliability and validity of the clinical assessment tool.Contribution:The clinical assessment tool currently used in the postgraduate midwifery programme in Botswana had acceptable internal consistency reliability and validity.

Clinical metrics and tools for provider assessment and tracking of trigonocephaly.

Quantitative measurements of trigonocephaly can be used to characterize and track this phenotype, which is associated with metopic craniosynostosis. Traditionally, trigonocephaly metrics were extracted from CT scans; however, this method exposes patients to ionizing radiation. Three-dimensional optical scans are another option but are not routinely available in most outpatient settings. Recently, the authors developed semiautomated artificial intelligence algorithms that extract craniometric data from orthogonal 2D photographs. Although 2D photographs are safe, inexpensive, and straightforward to obtain, the accuracy of photograph-based craniometrics in comparison to CT and 3D optical scan correlates has not been established. In this study the authors compared the classification power of 2D photograph-based metrics of trigonocephaly with four CT-based metrics and one 3D optical scan-based metric in a heterogeneous series of patients who presented to an outpatient craniofacial clinic. In this study the authors performed retrospective craniometric analyses of patient 2D photographs, 3D optical scans, and CT scans. Imaging-derived craniometrics include the 2D photograph-based anterior arc angle (AAA2D-photo), anterior-posterior ratio (APR2D-photo), and anterior-middle ratio (AMR2D-photo); the CT-based anterior arc angle (AAACT), metopic index (MICT), endocranial-bifrontal angle (eBFACT), and interfrontal angle (IFACT); and the 3D optical scan-based anterior arc angle (AAA3D-optical). Receiver operating characteristics (ROCs) were used to identify craniometrics strongly descriptive of trigonocephaly. Interrater comparisons were made between paired trigonocephaly measurements obtained from photographs and either CT scans or 3D optical scans. There were 13 photograph-based and CT-based pairs and 22 paired measurements from 2D photographs and 3D optical scans. AAA displayed the strongest classification capacity across all three imaging modalities. Significant agreement was observed between AAACT and AAA2D-photo (intraclass correlation coefficient [ICC] = 0.68 [95% CI 0.24-0.89], p = 0.0035), and AAA3D-optical and AAA2D-photo (ICC = 0.70 [95% CI 0.41-0.87], p < 0.0001). There was no significant correlation between APR2D-photo or AMR2D-photo and conventional CT-based metrics describing longitudinal width ratios (MICT). Photograph-based craniometrics are powerful tools that can be used to quantify the severity of trigonocephaly and exhibit high concordance with standard measurements derived from CT scans and 3D optical scans. The authors developed and freely share a research-use application to calculate trigonocephaly metrics from 2D photographs. Given the availability of digital photography, lack of ionizing radiation, and low cost of photograph-based craniometric derivation, this technique may be useful to supplement routine ambulatory care and objectively track outcomes following treatment.

Cognitive testing following transient ischaemic attack: A systematic review of clinical assessment tools.

Cognitive deficits are prevalent after transient ischaemic attack (TIA) and result in loss of function, poorer quality of life and increased risks of dependency and mortality. This systematic review aimed to synthesise the available evidence on cognitive assessment in TIA patients to determine the prevalence of cognitive deficits, and the optimal tests for cognitive assessment. Medline, Embase, PsychINFO and CINAHL databases were searched for relevant articles. Articles were screened by title and abstract. Full-text analysis and quality assessment was performed using the National Institute of Health Tool. Data were extracted on study characteristics, prevalence of TIA deficits, and key study findings. Due to significant heterogeneity, meta-analysis was not possible. Twenty-five full-text articles met the review inclusion criteria. There was significant heterogeneity in terms of cognitive tests used, definitions of cognitive impairment and TIA, time points post-event, and analysis methods. The majority of studies used the Mini-Mental State Examination (MMSE) or Montreal Cognitive Assessment (MoCA) (n = 23). Prevalence of cognitive impairment ranged from 2% to 100%, depending on the time-point and cognitive domain studied. The MoCA was more sensitive than the MMSE for identifying cognitive deficits. Deficits were common in executive function, attention, and language. No studies assessed diagnostic test accuracy against a reference standard diagnosis of cognitive impairment. Recommendations on cognitive testing after TIA are hampered by significant heterogeneity between studies, as well as a lack of diagnostic test accuracy studies. Future research should focus on harmonising tools, definitions, and time-points, and validating tools specifically for the TIA population.

Papel de los niveles circulantes del antígeno carbohidrato 125 para identificar al paciente no frágil con IC

Introduction and objectivesHeart failure (HF) is an age-related syndrome with a high burden of frailty. However, frailty assessment is not regularly performed in clinical practice. Therefore, a clinical tool for frailty assessment is still required. High levels of Plasma carbohydrate antigen 125 (CA125) are related with a higher risk of adverse clinical events. In this study we aimed to evaluate different CA125 values and its association with frailty categories in HF. MethodsIn this observational, single-center and prospective study, frailty was assessed by Fried score along with the baseline characteristics of the HF stable patient. The discriminative ability of CA125 for predicting frailty status was evaluated by receiver operating characteristic (ROC). ResultsIn 277 patients (74±10 years, 42.59% women, 52.70% left ventricular ejection fraction <50% and 81.22% New York Heart Association grade I-II). There were 61 (22.02%) robust (Fried=0), 95 (34.29%) pre-frail (Fried=1-2) and 121 (46.68%) frail (Fried ≥ 3). CA125 values were lower in robust (13 U/mL (9-23) vs 19 U/mL (12-41), P=.002) and values ≤ 10 U/mL showed a negative predictive value of 66% to rule out the pre-frail/frailty status. Significant, positive, and non-linear association between CA125 and the Fried score (P=.003) was found. CA125 values ≤ 10 U/mL showed a high probability of the presence of robustness. ConclusionsIn a cohort of patients with chronic HF, low values of CA125 (< 10 U/mL) predicted robust patients.

Understanding medical student paths to communication skills expertise using latent profile analysis

Purpose To describe patterns of clinical communication skills that inform curriculum enhancement and guide coaching of medical students. Materials and methods Performance data from 1182 consenting third year medical students in 9 cohorts (2011–2019), on a 17-item Clinical Communication Skills Assessment Tool (CCSAT) completed by trained Standardized Patients as part of an eight case high stakes Comprehensive Clinical Skills Exam (CCSE) were analyzed using latent profile analysis (LPA). Assessment domains included: information gathering (6 items), relationship development (5 items), patient education (3 items), and organization/time management (3 items). LPA clustered learners with similar strength/weakness into profiles based on item response patterns across cases. One-way analysis of variance (ANOVA) assessed for significant differences by profile for CCSAT items. Results Student performance clustered into six profiles in three groups, high performing (HP1 and HP2-Low Patient Education, 15.7%), average performing (AP1 and AP2-Interrupters, 40.9%), and lower performing profiles (LP1-Non-interrupters and LP2, 43.4%) with adequate model fit estimations and similar distribution in each cohort. We identified 3 CCSAT items that discriminated among learner’s skill profiles. Conclusion Clinical communication skill performance profiles provide nuanced, benchmarked guidance for curriculum improvement and tailoring of communication skills coaching.

A study of validity and usability evidence for non-technical skills assessment tools in simulated adult resuscitation scenarios

BackgroundNon-technical skills (NTS) assessment tools are widely used to provide formative and summative assessment for healthcare professionals and there are now many of them. This study has examined three different tools designed for similar settings and gathered evidence to test their validity and usability.MethodsThree NTS assessment tools designed for use in the UK were used by three experienced faculty to review standardized videos of simulated cardiac arrest scenarios: ANTS (Anesthetists’ Non-Technical Skills), Oxford NOTECHS (Oxford NOn-TECHnical Skills) and OSCAR (Observational Skill based Clinical Assessment tool for Resuscitation). Internal consistency, interrater reliability and quantitative and qualitative analysis of usability were analyzed for each tool.ResultsInternal consistency and interrater reliability (IRR) varied considerably for the three tools across NTS categories and elements. Intraclass correlation scores of three expert raters ranged from poor (task management in ANTS [0.26] and situation awareness (SA) in Oxford NOTECHS [0.34]) to very good (problem solving in Oxford NOTECHS [0.81] and cooperation [0.84] and SA [0.87] in OSCAR). Furthermore, different statistical tests of IRR produced different results for each tool. Quantitative and qualitative examination of usability also revealed challenges in using each tool.ConclusionsThe lack of standardization of NTS assessment tools and training in their use is unhelpful for healthcare educators and students. Educators require ongoing support in the use of NTS assessment tools for the evaluation of individual healthcare professionals or healthcare teams. Summative or high-stakes examinations using NTS assessment tools should be undertaken with at least two assessors to provide consensus scoring. In light of the renewed focus on simulation as an educational tool to support and enhance training recovery in the aftermath of COVID-19, it is even more important that assessment of these vital skills is standardized, simplified and supported with adequate training.

Pathophysiology and Management of Fatigue in Neuromuscular Diseases

Fatigue is a major determinant of quality of life and motor function in patients affected by several neuromuscular diseases, each of them characterized by a peculiar physiopathology and the involvement of numerous interplaying factors. This narrative review aims to provide an overview on the pathophysiology of fatigue at a biochemical and molecular level with regard to muscular dystrophies, metabolic myopathies, and primary mitochondrial disorders with a focus on mitochondrial myopathies and spinal muscular atrophy, which, although fulfilling the definition of rare diseases, as a group represent a representative ensemble of neuromuscular disorders that the neurologist may encounter in clinical practice. The current use of clinical and instrumental tools for fatigue assessment, and their significance, is discussed. A summary of therapeutic approaches to address fatigue, encompassing pharmacological treatment and physical exercise, is also overviewed.

Higher self-perceived stress reactivity is associated with increased chronic pain risk.

Experiencing stress can contribute to unfavorable pain experiences, but outcomes vary across individuals. Evidence suggests that a person's specific reactivity to stressful events may influence pain responses. Previous studies measuring physiological stress reactivity have found associations with pain both clinically and in the laboratory. However, the time and cost required for testing physiological stress reactivity may limit clinical application. Self-reported perception of one's own stress reactivity has been shown to correlate with physiological stress reactivity in relation to health outcomes and may represent a valuable tool in clinical pain assessment. Using data from the Midlife in the US survey, we selected participants who did not have chronic pain at baseline (n = 1512) and who had data at follow-up 9 years later. Stress reactivity was assessed using a subscale of the Multidimensional Personality Questionnaire. We conducted a binary logistic regression to determine the odds of developing chronic pain, controlling for demographics and other health-related variables. Results indicate that higher reported stress reactivity at baseline increased the odds of developing chronic pain at follow-up (odds ratio (OR) = 1.085, 95% confidence interval (CI) (1.021, 1.153), P = 0.008), with the only other significant predictor being the number of chronic conditions (OR = 1.118, 95% CI (1.045, 1.197), P = 0.001). Findings provide evidence for the predictive criterion validity of self-reported stress reactivity in the context of chronic pain risk. More generally, with increased need for virtual assessment and care, self-reported stress reactivity may be a useful, time-efficient, and cost-efficient tool for predicting pain outcomes in research and clinical contexts.

The Children’s English/Spanish Speech Recognition Test (ChEgSS): Feasibility, Reliability, and Normative data

The Children’s English/Spanish Speech Recognition Test (ChEgSS) is a computer-based tool for assessing closed-set word recognition in either speech-shaped noise or two-talker speech. Instructions and stimuli are recorded in both languages, and listeners respond by pointing to the picture depicting the word that they heard. Preliminary clinical feasibility and reliability data will be presented, along with age norms for children (4.1–17.0 yrs) who are either English monolinguals (n = 89) or Spanish/English bilinguals (n = 83). Results obtained with the two maskers will be evaluated with respect to age, language group, and receptive vocabulary. SRTs in English were higher in two-talker speech than speech-shaped noise and were 1.7dB lower for monolinguals than bilinguals for both maskers. SRTs were lower in English than Spanish for bilinguals in noise but not significantly different in speech. Consistent with prior research, SRTs in both languages improved with age; effects of age were more pronounced and prolonged in two-talker speech than in speech-shaped noise. The mean discrepancy between replicate estimates of SRT in English were 1.8 dB in noise and 3.1 in two-talker speech. Overall, these results suggest ChEgSS may be a valuable tool for clinical assessment of masked speech perception in children.

Development of a Wound Assessment Tool for Use in Adults at End of Life: A Modified Delphi Study

Some patients at end of life (EOL) develop wounds known as Kennedy terminal ulcers, terminal ulcers, and Skin Changes At Life's End. However, there is ambiguity around the defining wound characteristics of these conditions and a lack of validated clinical assessment tools available to identify them. To gain consensus on the definition and characteristics of EOL wounds and establish the face and content validity of a wound assessment tool for use in adults at EOL. Using a reactive online Delphi technique, international wound experts reviewed the 20 items in the tool. Over two iterative rounds, experts assessed item clarity, relevance, and importance using a four-point content validity index. The content validity index scores were calculated for each item, with a level of 0.78 or higher signifying panel consensus. Round 1 included 16 panelists (100.0%). The agreement for item relevance and importance ranged from 0.54% to 0.94%, and item clarity scored between 0.25% and 0.94%. Following round 1, four items were removed, and seven others reworded. Other suggestions included changing the tool name and including Kennedy terminal ulcer, terminal ulcer, and Skin Changes At Life's End in the EOL wound definition. In round 2, the now 13 panel members agreed with the final 16 items included and suggested minor wording changes. This tool could provide clinicians with an initially validated tool to accurately assess EOL wounds and gather much needed empirical prevalence data. Further research is needed to underpin accurate assessment and the development of evidence-based management strategies.

Comparison of Various Clinical Risk Assessment Tools in Predicting Major Adverse Cardiac Events in Patients Presenting in Emergency Department with Undifferentiated Cardiac Chest Pain

Objective: To compare the “HEART (History, ECG, Age, Risk factors, Troponin), GRACE (Global Registry of Acute Coronary Events), and TIMI (Thrombolysis in Myocardial Infarction)” scores in predicting major adverse cardiac events (MACE) in patients reporting with undifferentiated cardiac chest pain to the Emergency Department (ED).&#x0D; Study Design: Cross-sectional validation study&#x0D; Duration and place of Study: Emergency Department, Combined Military Hospital, Rawalpindi Pakistan, from Jan to Jun 2021.&#x0D; Methodology: Two hundred and thirty-seven adult patients with atraumatic cardiac-like chest pain and non-diagnostic electrocardiogram (ECG) reporting to the ED were included in the study. HEART, GRACE and TIMI scores were calculated from the data. The number of patients with low risk was identified by each score and compared at a fixed safety level of minimum 95% sensitivity. The potential occurrence of MACE was confirmed using a telephonic follow-up six weeks after the presentation.&#x0D; Results: At an absolute safety level of minimum 95% sensitivity, the HEART score determined 101 patients as “low-risk” with 1.98% MACE missed. The GRACE score identified 49 “low-risk” patients with 4.08% MACE missed, and the TIMI score identified 66 “low-risk” patients with 3.03% MACE missed.&#x0D; Conclusion: Among the three scores under comparison, the HEART score performed better than the GRACE and TIMI scores at the same safety level and surpassed them in differentiating between those with MACE and without MACE.

Outcome of visuospatial dysfunction assessment in patients with Parkinson's disease using mobile application software.

Visuospatial dysfunction and cognitive impairment are common in Parkinson's disease (PD), which draw increasing attention in the current literature. But clinicians still lack rapid, effective and unified cognitive battery for visuospatial assessment. A new approach was studied to explore the feasibility of using mobile application software (APP) to evaluate visuospatial dysfunction in patients with PD and compared with traditional assessment tools. We aimed to verify the threshold score of the APP for early diagnosis. A total of 41 patients with PD underwent assessments using several test modules including Digit Symbol Test (DST), Visual Organization Test (VOT), Facial Recognition Test (FRT), Vocabulary Memory Test (VMT) of this APP, as well as Clock Drawing Test (CDT), Cube Copying Test (CCT) and the Mini-Mental State Examination (MMSE) for comparison. Among the 41 PD patients, 30 individuals were found to have visuospatial dysfunction based on CDT score < 5 and CCT score of<18 while the remaining 11 patients served as control. There were statistically significant differences in DST, VOT, and FRT scores (all p ≤ 0.001 for group comparisons). DST, VOT, and FRT-1 were significantly correlated with MMSE, CDT and CCT and the correlations were moderate or fairly strong. For visuospatial dysfunction diagnosis, all the areas under curves (AUC) of DST, VOT, and FRT-1 were statistically significant (p < 0.0001, p = 0.0002, and p = 0.0002, respectively). The estimates and 95% confidence intervals of AUC were 0.8303 (0.6868, 0.9739), 0.8045 (0.6423, 0.9668), and 0.7833 (0.6344, 0.9322), respectively. Their cut-off points for visuospatial dysfunction were 26, 17, and 19, respectively. After dichotomization by the cut-off points, DST had high sensitivity of 96.67% while VOT and FRT-1 had high specificity of 81.82 and 90.91%. This study demonstrated that visuospatial disorders was highly prevalent in PD patients, and the APP used in study could be a practical clinical screening tool for visuospatial ability assessment with high sensitivity and specificity.

Experimental environment improves the reliability of short-latency afferent inhibition.

Evidence indicates attention can alter afferent inhibition, a Transcranial Magnetic Stimulation (TMS) evoked measure of cortical inhibition following somatosensory input. When peripheral nerve stimulation is delivered prior to TMS, a phenomenon known as afferent inhibition occurs. The latency between the peripheral nerve stimulation dictates the subtype of afferent inhibition evoked, either short latency afferent inhibition (SAI) or long latency afferent inhibition (LAI). While afferent inhibition is emerging as a valuable tool for clinical assessment of sensorimotor function, the reliability of the measure remains relatively low. Therefore, to improve the translation of afferent inhibition within and beyond the research lab, the reliability of the measure must be improved. Previous literature suggests that the focus of attention can modify the magnitude of afferent inhibition. As such, controlling the focus of attention may be one method to improve the reliability of afferent inhibition. In the present study, the magnitude and reliability of SAI and LAI was assessed under four conditions with varying attentional demands focused on the somatosensory input that evokes SAI and LAI circuits. Thirty individuals participated in four conditions; three conditions were identical in their physical parameters and varied only in the focus of directed attention (visual attend, tactile attend, non- directed attend) and one condition consisted of no external physical parameters (no stimulation). Reliability was measured by repeating conditions at three time points to assess intrasession and intersession reliability. Results indicate that the magnitude of SAI and LAI were not modulated by attention. However, the reliability of SAI demonstrated increased intrasession and intersession reliability compared to the no stimulation condition. The reliability of LAI was unaffected by the attention conditions. This research demonstrates the impact of attention/arousal on the reliability of afferent inhibition and has identified new parameters to inform the design of TMS research to improve reliability.

Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19.

Recently, research is emerging highlighting the potential of cannabinoids' beneficial effects related to anxiety, mood, and sleep disorders as well as pointing to an increased use of cannabinoid-based medicines since COVID-19 was declared a pandemic. The objective of this research is 3 fold: i) to evaluate the relationship of the clinical delivery of cannabinoid-based medicine for anxiety, depression and sleep scores by utilizing machine learning specifically rough set methods; ii) to discover patterns based on patient features such as specific cannabinoid recommendations, diagnosis information, decreasing/increasing levels of clinical assessment tools (CAT) scores over a period of time; and iii) to predict whether new patients could potentially experience either an increase or decrease in CAT scores. The dataset for this study was derived from patient visits to Ekosi Health Centres, Canada over a 2 year period including the COVID timeline. Extensive pre-processing and feature engineering was performed. A class feature indicative of their progress or lack thereof due to the treatment received was introduced. Six Rough/Fuzzy-Rough classifiers as well as Random Forest and RIPPER classifiers were trained on the patient dataset using a 10-fold stratified CV method. The highest overall accuracy, sensitivity and specificity measures of over 99% was obtained using the rule-based rough-set learning model. In this study, we have identified rough-set based machine learning model with high accuracy that could be utilized for future studies regarding cannabinoids and precision medicine.

New score for predicting major bleeding in patients with atrial fibrillation using direct oral anticoagulants

PurposeOur aim was to identify factors associated with major bleeding in patients with atrial fibrillation (AF) on direct oral anticoagulants (DOACs) and to construct and externally validate a predictive model that would provide a validated tool for clinical assessment of major bleeding. MethodsIn the development cohort, prediction model was built by logistic regression, the area under the curve (AUC), and Nomogram. External validation, analytical identification and calibration of the model using AUC, calibration curves and Hosmer-Lemeshow test. ResultsThe development cohort consisted of 4209 patients from 7 centers and the external validation cohort consisted of 1800 patients from 12 centers. Multifactorial analysis showed that age > 65 years, history of bleeding, anemia, vascular disease, antiplatelet therapy/non-steroidal anti-inflammatory drugs and rivaroxaban were independent risk factors for major bleeding, and gastrointestinal protective agents was a protective factor. The Alfalfa-MB model was constructed using these seven factors (AUC = 0.807), and in the external validation cohort, the model showed good discriminatory power (AUC = 0.743) and good calibration (Hosmer-Lemeshow test P value of 0.205). The predictive power of the six bleeding scores was ORBIT (AUC = 0.706), HAS-BLED (AUC = 0.648), ATRIA (AUC = 0.645), HEMORR2 HAGES (AUC = 0.632), ABC (AUC = 0.619) and Shireman (AUC = 0.599) in descending order. ConclusionBased on 7 factors, we derived and externally validated a predictive model for major bleeding with DOACs in patients with AF (Alfalfa-MB). The model has good predictive value and may be an effective tool to help reduce the occurrence of major bleeding in patients with DOACs.

New horizons in understanding oral health and swallowing function within the context of frailty.

Frailty is a complex and multidimensional condition wherein declines in physiologic reserve and function place individuals in a state of heightened vulnerability and decreased resiliency. There has been growing interest in both research and clinical settings to understand how to best define, assess and characterise frailty in older adults. To this end, various models and clinical assessment tools have been used to define and measure frailty. While differences exist among these models and tools, a common unifying theme is a focus on physical function and activity. Notably absent across many available conceptual models and clinical tools are items directly related to oral and swallowing function. This is an important oversight as widespread changes to both oral and swallowing function are evident in older adults. Indeed, emerging evidence suggests many of the functional domains affected in frail older adults, such as nutrition and sarcopenia, have cyclical relationships with impairments in oral (oral hypofunction) and swallowing function (dysphagia) as well. The increasing appreciation for the interrelationships among oral hypofunction, dysphagia and frailty provides an opportunity for refinement of frailty assessment and characterisation in older adults to incorporate metrics specific to oral and swallowing function.

Multimarkers of metabolic malnutrition and inflammation and their association with mortality risk in cardiac catheterisation patients: a prospective, longitudinal, observational, cohort study

Complex and incompletely understood metabolic dysfunction associated with inflammation and protein-energy wasting contribute to the increased mortality risk of older patients and those with chronic organ diseases affected by cachexia, sarcopenia, malnutrition, and frailty. However, these wasting syndromes have uncertain relevance for patients with cardiovascular disease or people at lower risk. Studies are hampered by imperfect objective clinical assessment tools for these intertwined metabolic malnutrition and inflammation syndromes. We aimed to assess, in two independent cohorts of patients who underwent cardiac catheterisation, the mortality risk associated with the metabolic vulnerability index (MVX), a multimarker derived from six simultaneously measured serum biomarkers plausibly linked to these dysmetabolic syndromes. In this prospective, longitudinal, observational study, we included patients aged ≥18 years recruited into the CATHGEN biorepository (Jan 2, 2001, to Dec 30, 2011) and the Intermountain Heart Collaborative Study (Sept 12, 2000, to Sept 21, 2006) who underwent coronary angiography and had clinical nuclear magnetic resonance metabolomic profiling done on frozen plasma obtained at catheterisation. We aggregated six mortality risk biomarkers (GlycA, small HDL, valine, leucine, isoleucine, and citrate concentrations) into sex-specific MVX multimarker scores using coefficients from predictive models for all-cause mortality in the CATHGEN cohort. We assessed associations of biomarkers and MVX with mortality in both cohorts using Cox proportional hazards models adjusted for 15 clinical covariates. We included 5876 participants from the CATHGEN biorepository and 2888 from the Intermountain Heart study. Median follow-up was 6·2 years (IQR 4·4-8·9) in CATHGEN and 8·2 years (6·9-9·2) in the Intermountain Heart study. The six nuclear magnetic resonance biomarkers and MVX made strong, independent contributions to 5-year mortality risk prediction in both cohorts (hazard ratio 2·18 [95% CI 2·03-2·34] in the CATHGEN cohort and 1·67 [1·50-1·87] in the Intermountain Heart cohort). CATHGEN subgroup analyses showed similar MVX associations in men and women, older and younger individuals, for death from cardiovascular or non-cardiovascular causes, and in patients with or without multiple comorbidities. MVX made a dominant contribution to mortality prediction in patients with cardiovascular disease and in low-risk subgroups without pre-existing disease, suggesting that metabolic malnutrition-inflammation syndromes might have a more universal role in survival than previously thought. Labcorp.

Quantified analysis of facial movement: A reference for clinical applications.

Most techniques for evaluating unilateral impairments in facial movement yield subjective measurements. The objective of the present study was to define a reference dataset and develop a visualization tool for clinical assessments. In this prospective study, a motion capture system was used to quantify facial movements in 30 healthy adults and 2 patients. We analyzed the displacements of 105 reflective markers placed on the participant's face during five movements (M1-M5). For each marker, the primary endpoint was the maximum amplitude of displacement from the static position (M0) in an analysis of variance. The measurement precision was 0.1 mm. Significant displacements of markers were identified for M1-M5, and displacement patterns were defined. The patients and age-matched healthy participants were compared with regard to the amplitude of displacement. We created a new type of radar plot to visually represent the diagnosis and facilitate effective communication between medical professionals. In proof-of-concept experiments, we collected quantitative data on patients with facial palsy and created a patient-specific radar plot. Our new protocol for clinical facial motion capture ("quantified analysis of facial movement," QAFM) was accurate and should thus facilitate the long-term clinical follow-up of patients with facial palsy. To take account of the limitations affecting the comparison with the healthy side, we created a dataset of healthy facial movements; our method might therefore be applicable to other conditions in which movements on one or both sides of the face are impaired. The patient-specific radar plot enables clinicians to read and understand the results rapidly.