scholarly journals Development and Validation of Two Self-Reported Tools for Insulin Resistance and Hypertension Risk Assessment in A European Cohort: The Feel4Diabetes-Study

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 960
Author(s):  
Spyridon Kanellakis ◽  
Christina Mavrogianni ◽  
Kalliopi Karatzi ◽  
Jaana Lindstrom ◽  
Greet Cardon ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Risk Assessment ◽  
High Risk ◽  
Sensitivity And Specificity ◽  
Low Cost ◽  
Area Under The Curve ◽  
Assessment Tools ◽  
Screening Tools ◽  
Model Assessment ◽  
Sugary Drinks

Early identification of type 2 diabetes mellitus (T2DM) and hypertension (HTN) risk may improve prevention and promote public health. Implementation of self-reported scores for risk assessment provides an alternative cost-effective tool. The study aimed to develop and validate two easy-to-apply screening tools identifying high-risk individuals for insulin resistance (IR) and HTN in a European cohort. Sociodemographic, lifestyle, anthropometric and clinical data obtained from 1581 and 1350 adults (baseline data from the Feel4Diabetes-study) were used for the European IR and the European HTN risk assessment index respectively. Body mass index, waist circumference, sex, age, breakfast consumption, alcohol, legumes and sugary drinks intake, physical activity and sedentary behavior were significantly correlated with Homeostatic Model Assessment of IR (HOMA-IR) and/or HTN and incorporated in the two models. For the IR index, the Area Under the Curve (AUC), sensitivity and specificity for identifying individuals above the 75th and 95th of HOMA-IR percentiles were 0.768 (95%CI: 0.721–0.815), 0.720 and 0.691 and 0.828 (95%CI: 0.766–0.890), 0.696 and 0.778 respectively. For the HTN index, the AUC, sensitivity and specificity were 0.778 (95%CI: 0.680–0.876), 0.667 and 0.797. The developed risk assessment tools are easy-to-apply, valid, and low-cost, identifying European adults at high risk for developing T2DM or having HTN.

scholarly journals Sarcopenia Risk Evaluation in a Sample of Hospitalized Elderly Men and Women: Combined Use of the Mini Sarcopenia Risk Assessment (MSRA) and the SARC-F

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 635
Author(s):  
Andrea P. Rossi ◽  
Cesare Caliari ◽  
Silvia Urbani ◽  
Francesco Fantin ◽  
Piero Brandimarte ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Youden Index ◽  
Index Method ◽  
Specificity And Sensitivity ◽  
Combined Use ◽  
European Working ◽  
Patients At Risk

Background: SARC-F and Mini Sarcopenia Risk Assessment (MSRA) questionnaires have been proposed as screening tools to identify patients at risk of sarcopenia. The aim of this study is to test the use of SARC-F and MSRA, alone and combined, as a pre-screening tool for sarcopenia in geriatric inpatients. Methods: 152 subjects, 94 men and 58 women, aged 70 to 94, underwent muscle mass evaluation by dual energy X-ray absorptiometry (DXA), muscle strength evaluation by handgrip, and completed the MSRA, SARC-F and Activity of daily living (ADL) questionnaires. Results: 66 subjects (43.4%) were classified as sarcopenic according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. The 7-item SARC-F and MRSA and 5-item MSRA showed an area under the curve (AUC) of 0.666 (95% confidence interval (CI): 0.542–0.789), 0.730 (95% CI: 0.617–0.842) and 0.710 (95% CI: 0.593–0.827), respectively. The optimal cut-off points for sarcopenia detection were determined for each questionnaire using the Youden index method. The newly calculated cut-off points were ≤25 and ≤40 for MSRA 7- and 5-items, respectively. The ideal cut-off for the SARC-F was a score ≥3. Applying this new cut-off in our study population, sensitivity and specificity of the 7-item MSRA were 0.757 and 0.651, and 0.688 and 0.679 for the 5-item MSRA, respectively. Sensitivity and specificity of SARC-F were 0.524 and 0.765, respectively. The combined use of the 7-item SARC-F and MSRA improved the accuracy in sarcopenia diagnosis, with a specificity and sensitivity of 1.00 and 0.636. Conclusion: 7-item SARC-F and MSRA may be co-administered in hospital wards as an easy, feasible, first-line tool to identify sarcopenic subjects.

scholarly journals Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan Population

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Valmore Bermúdez ◽  
Joselyn Rojas ◽  
María Sofía Martínez ◽  
Vanessa Apruzzese ◽  
Mervin Chávez-Castillo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Sensitivity And Specificity ◽  
Adult Population ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Reference Population ◽  
Point Estimation ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cross Sectional

Background. Mathematical models such as Homeostasis Model Assessment have gained popularity in the evaluation of insulin resistance (IR). The purpose of this study was to estimate the optimal cut-off point for Homeostasis Model Assessment-2 Insulin Resistance (HOMA2-IR) in an adult population of Maracaibo, Venezuela. Methods. Descriptive, cross-sectional study with randomized, multistaged sampling included 2,026 adult individuals. IR was evaluated through HOMA2-IR calculation in 602 metabolically healthy individuals. For cut-off point estimation, two approaches were applied: HOMA2-IR percentile distribution and construction of ROC curves using sensitivity and specificity for selection. Results. HOMA2-IR arithmetic mean for the general population was 2.21±1.42, with 2.18±1.37 for women and 2.23±1.47 for men (P=0.466). When calculating HOMA2-IR for the healthy reference population, the resulting p75 was 2.00. Using ROC curves, the selected cut-off point was 1.95, with an area under the curve of 0.801, sensibility of 75.3%, and specificity of 72.8%. Conclusions. We propose an optimal cut-off point of 2.00 for HOMA2-IR, offering high sensitivity and specificity, sufficient for proper assessment of IR in the adult population of our city, Maracaibo. The determination of population-specific cut-off points is needed to evaluate risk for public health problems, such as obesity and metabolic syndrome.

Suicide risk assessment in a large public mental health service: do suicide risk classifications identify those at risk?

2021 ◽  
pp. 103985622098403
Author(s):  
Marianne Wyder ◽  
Manaan Kar Ray ◽  
Samara Russell ◽  
Kieran Kinsella ◽  
David Crompton ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Risk Assessment ◽  
High Risk ◽  
Suicide Risk ◽  
Public Mental Health ◽  
Assessment Tools ◽  
Suicide Risk Assessment ◽  
Public Mental Health Service ◽  
Risk Assessment Tools

Introduction: Risk assessment tools are routinely used to identify patients at high risk. There is increasing evidence that these tools may not be sufficiently accurate to determine the risk of suicide of people, particularly those being treated in community mental health settings. Methods: An outcome analysis for case serials of people who died by suicide between January 2014 and December 2016 and had contact with a public mental health service within 31 days prior to their death. Results: Of the 68 people who had contact, 70.5% had a formal risk assessment. Seventy-five per cent were classified as low risk of suicide. None were identified as being at high risk. While individual risk factors were identified, these did not allow to differentiate between patients classified as low or medium. Discussion: Risk categorisation contributes little to patient safety. Given the dynamic nature of suicide risk, a risk assessment should focus on modifiable risk factors and safety planning rather than risk prediction. Conclusion: The prediction value of suicide risk assessment tools is limited. The risk classifications of high, medium or low could become the basis of denying necessary treatment to many and delivering unnecessary treatment to some and should not be used for care allocation.

scholarly journals A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Susanne F. Awad ◽  
Soha R. Dargham ◽  
Amine A. Toumi ◽  
Elsy M. Dumit ◽  
Katie G. El-Nahas ◽  
...  
Keyword(s):  
High Risk ◽  
Sensitivity And Specificity ◽  
Risk Score ◽  
Area Under The Curve ◽  
Diabetes Risk ◽  
Predictive Values ◽  
Predictive Variables ◽  
Comparable Performance ◽  
Representative Random Sample ◽  
Diabetes Risk Score

AbstractWe developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated using a diabetes mathematical model. Logistic regression was used to derive the score using age, sex, obesity, smoking, and physical inactivity as predictive variables. Performance diagnostics, validity, and potential yields of a diabetes testing program were evaluated. In 2020, the area under the curve (AUC) was 0.79 and sensitivity and specificity were 79.0% and 66.8%, respectively. Positive and negative predictive values (PPV and NPV) were 36.1% and 93.0%, with 42.0% of Qataris being at high diabetes risk. In 2030, projected AUC was 0.78 and sensitivity and specificity were 77.5% and 65.8%. PPV and NPV were 36.8% and 92.0%, with 43.0% of Qataris being at high diabetes risk. In 2050, AUC was 0.76 and sensitivity and specificity were 74.4% and 64.5%. PPV and NPV were 40.4% and 88.7%, with 45.0% of Qataris being at high diabetes risk. This model-based score demonstrated comparable performance to a data-derived score. The derived self-complete risk score provides an effective tool for initial diabetes screening, and for targeted lifestyle counselling and prevention programs.

scholarly journals Rates of violence in patients classified as high risk by structured risk assessment instruments

2014 ◽  
Vol 204 (3) ◽  
pp. 180-187 ◽  
Author(s):  
Jay P. Singh ◽  
Seena Fazel ◽  
Ralitza Gueorguieva ◽  
Alec Buchanan
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Risk Groups ◽  
Evidence Base ◽  
Assessment Tools ◽  
Current Evidence ◽  
Assessment Instruments ◽  
Individual Liberty ◽  
Current Evidence Base ◽  
Study Heterogeneity

BackgroundRates of violence in persons identified as high risk by structured risk assessment instruments (SRAIs) are uncertain and frequently unreported by validation studies.AimsTo analyse the variation in rates of violence in individuals identified as high risk by SRAIs.MethodA systematic search of databases (1995–2011) was conducted for studies on nine widely used assessment tools. Where violence rates in high-risk groups were not published, these were requested from study authors. Rate information was extracted, and binomial logistic regression was used to study heterogeneity.ResultsInformation was collected on 13 045 participants in 57 samples from 47 independent studies. Annualised rates of violence in individuals classified as high risk varied both across and within instruments. Rates were elevated when population rates of violence were higher, when a structured professional judgement instrument was used and when there was a lower proportion of men in a study.ConclusionsAfter controlling for time at risk, the rate of violence in individuals classified as high risk by SRAIs shows substantial variation. In the absence of information on local base rates, assigning predetermined probabilities to future violence risk on the basis of a structured risk assessment is not supported by the current evidence base. This underscores the need for caution when such risk estimates are used to influence decisions related to individual liberty and public safety.

Comparison of IDRS and ADA Diabetes Risk Assessment Tools Reveals Different Rsk Score in Same Population: A Cross-Sectional Analysis in a Tertiary Care Hospital

2021 ◽  
Vol 5 (1) ◽  
pp. 10-18
Author(s):  
N. Akter ◽  
N.K. Qureshi
Keyword(s):  
Type 2 Diabetes ◽  
Risk Assessment ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
Assessment Tools ◽  
Cross Sectional ◽  
Risk Assessment Tools ◽  
Predicted Risk

Background: To identify individuals at high risk of developing type2 diabetes (T2DM), use of a validated risk-assessment tool is currently recommended. Nevertheless, recent studies have shown that risk scores that are developed in the same country can lead to different results of an individual. The Objective of study was to reveal whether two different risk-assessment tools predict similar or dissimilar high-risk score in same population. Method: This cross-sectional analytical study was carried upon 336 non-diabetic adults visiting the outpatient department (OPD) of Medicine, MARKS Medical College & Hospital, Bangladesh from October 2018 to March 2019. Woman having previous history of Gestational Diabetes Mellitus (GDM) were also included. Both the Indian Diabetes risk Score (IDRS) and the American Diabetes (ADA) Risk Score questionnaire were used to collect the data on demographic and clinical characteristics, different risk factors of an individual subject, and to calculate predicted risk score for developing T2DM. Results: Among 336 subjects, 53.6% were female. The mean (±SD) age of the study subjects was 38.25±1.12 years. The average IDRS predicted risk score of developing T2DM was more in female subjects than male [p<0.05]. Whereas the ADA predicted increased risk score of developing type 2 diabetes was more in male subjects than female (p<0.05). IDRS categorized 37.2 % of individuals at high risk for developing diabetes; [p=0.10], while the ADA risk tool categorized 20.2% subjects in high risk group; [p<0.001]. Conclusions: The results indicate that risk for developing type 2 diabetes varies considerably according to the scoring system used. To adequately prevent T2DM, risk scoring systems must be validated for each population considered.

Factors Associated With a Higher Risk of Undiagnosed Prediabetes in a Community-Dwelling Medicare Population

2020 ◽  
Vol 35 (2) ◽  
pp. 85-92
Author(s):  
Cynthia S. Valle-Oseguera ◽  
Carly A. Ranson ◽  
Patricia Tam ◽  
Jacqueline Le ◽  
Brandon Le ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Assessment ◽  
High Risk ◽  
Community Dwelling ◽  
Screening Tools ◽  
Medicare Beneficiaries ◽  
Medication Therapy ◽  
Medicare Population ◽  
Increased Risk

OBJECTIVE: To identify characteristics in an ambulatory Medicare population that are significantly more likely to be associated with a high risk of undiagnosed prediabetes.<br/> DESIGN: Cross-sectional study.<br/> SETTING: Fourteen health clinics targeting Medicare beneficiaries were held throughout northern and central California during the fall of 2017.<br/> PATIENTS, PARTICIPANTS: Noninstitutionalized Medicare beneficiaries receiving medication therapy management services without self-reported diabetes.<br/> INTERVENTIONS: Beneficiaries were screened for their risk of type 2 diabetes mellitus (T2DM) through the use of the American Diabetes Association (ADA) risk assessment (score of ≥ 5 indicates increased risk of developing type 2 diabetes) by pharmacy students. For this study, patients with a score of ≥ 5 were considered to be at high risk for undiagnosed prediabetes.<br/> MAIN OUTCOME MEASURE(S): Characteristics significantly more likely to be identified in patients at high risk for undiagnosed prediabetes.<br/> RESULTS: A total of 683 Medicare beneficiaries without self-reported diabetes completed the ADA risk assessment, with 457 (66.9%) receiving a score of 5 or more. In those, the presence of hyperlipidemia, hypertension, obesity, coronary heart disease, and use of aspirin were all characteristics researchers identified as significantly more likely to be found in this group. In contrast, those of Asian race or who took dietary supplements were significantly less likely to score 5 or higher in the questionnaire.<br/> CONCLUSION: Identification of older adults at higher risk for undiagnosed prediabetes through the use of appropriate screening tools allows for targeted preventive interventions, potentially lowering risk of developing T2DM for selected patients.

P0894OBESITY IMPAIRS THE ACUTE RESPONSE TO AN ORAL PHOSPHATE CHALLENGE

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Mandy Turner ◽  
Christine White ◽  
Patrick Norman ◽  
Corinne Babiolakis ◽  
Michael Adams ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
High Risk ◽  
Kidney Function ◽  
Area Under The Curve ◽  
Fractional Excretion ◽  
Low Risk ◽  
Normal Kidney ◽  
Phosphate Excretion ◽  
Fractional Excretion Of Phosphate ◽  
Age And Sex

Abstract Background and Aims T Obesity is an increasing health problem world-wide. People who are overweight or obese are at greater risk of developing chronic diseases including cardiovascular disease (CVD). Factors associated with dysregulated phosphate metabolism have been linked to the presence of vascular calcification in people with type 2 diabetes (T2D) with normal kidney function. Insulin resistance and abdominal obesity are associated with increased circulating levels of phosphaturic hormones including fibroblast growth factor 23 (FGF-23) and parathyroid hormone (PTH). Abnormalities in phosphate regulation may not be reflected in single circulating measurements of serum phosphate, but can be revealed by the acute circulating and mineral response to an oral challenge of phosphate. The aim of this study was to determine if obesity and insulin resistance impact the acute capacity to excrete an oral phosphate challenge. Method Community-dwelling people (N=78) free of T2D and symptomatic CVD (∼10 males and ∼10 females from each decade between 40 and 80 years) with normal kidney function were recruited from Kingston, Ontario, Canada. Following a 12-hour fast, participants consumed a 1250 mg phosphate drink (sodium phosphate) where blood and urine were collected at baseline, 1, 2 and 3 hours following the oral challenge. Participants with a high-risk metabolic profile characterized by an elevated waist-to-height ratio (WHtR) (&gt; 0.58) were matched by age and sex to participants with a low risk WHtR (&lt;0.5). Results The results reveal a significant impact of obesity on phosphate excretion in response to an oral phosphate challenge. There was an association between WHtR ratio and the level of iFGF-23 (R=-0.34 p&lt;0.01) but not PTH. After adjustment for age and sex, WHtR ratio was inversely correlated with urinary phosphate excretion in response to the phosphate challenge (R=-0.29, p=0.02) and the change in fractional excretion of phosphate (r=-0.34, p=0.007). From the larger cohort, an age- and sex- matched subset was selected for 12 high risk and 12 low risk metabolic profiles with WHtR of 0.66±0.02 and 0.46±0.01, respectively. Kidney function was the same between the two groups (eGFR 92.3±13.1 versus 95.8±13.6 ml/min/1.73m2 respectively) but high risk participants had significantly higher homeostatic model assessment of insulin resistance (HOMA-IR) (1.61±0.81 versus 0.68±0.3, p&lt;0.01). Participants with a high risk metabolic profile had a greater increase in serum phosphate from baseline (29% increase in the area under the curve, p=0.04) and a significantly blunted increase in the fractional excretion of phosphate in response to the oral phosphate challenge (35% reduction in area under the curve [AUC], p=0.03) compared to the matched low risk profile participants. Conclusion Overweight/obese individuals demonstrate impaired response to an oral phosphate challenge, whereby phosphate excretion was impaired and there was increased exposure to new circulating phosphate. An impaired acute phosphate response may contribute to the initiation or propagation of vascular calcification. Dysregulated phosphate homeostasis may be an under-recognized cardiovascular risk factor in obese people that could be modified by diet and weight loss. Whether insulin enhances renal phosphate reabsorption requires further study.

scholarly journals Development of the Fatigue Risk Assessment and Management in High-Risk Environments (FRAME) Survey: A Participatory Approach

2019 ◽  
Vol 16 (4) ◽  
pp. 522 ◽  
Author(s):  
Ashley Shortz ◽  
Ranjana Mehta ◽  
S. Peres ◽  
Mark Benden ◽  
Qi Zheng
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Oil And Gas ◽  
Participatory Approach ◽  
Assessment Tools ◽  
Delphi Consensus ◽  
Risk Environments ◽  
Stakeholder Input ◽  
Risk Assessment And Management ◽  
High Risk Environments

Existing risk assessment tools are not effective or sustainable in identifying Oil and Gas Extraction (OGE) workers at high risk of fatigue-related injuries or incidents. We developed a comprehensive Fatigue Risk Assessment and Management in high-risk Environments (FRAME) survey through an industry-academic participatory approach. The FRAME survey was developed through: (1) systematic gathering of existing fatigue scales; (2) refining the inventory using the Delphi Consensus technique; and (3) further refinement through employee/worker focus groups. The participatory approach resulted in a final FRAME survey across four fatigue dimensions—sleep, shiftwork, physical, and mental fatigue, and was composed of 26 items. The FRAME survey was founded on occupational fatigue science and refined and tailored to the OGE industry, through rigorous industry stakeholder input, for safer, effective, practical, and sustainable fatigue assessment and management efforts.

Venous thromboembolism in medical outpatients – a cross-sectional survey of risk assessment and prophylaxis

2011 ◽  
Vol 105 (01) ◽  
pp. 190-196 ◽  
Author(s):  
Holger Lawall ◽  
Andreas Matthiessen ◽  
Volker Hohmann ◽  
Peter Bramlage ◽  
Sylvia Haas ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Venous Thromboembolism ◽  
High Risk ◽  
Medical Condition ◽  
Assessment Tools ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Limited Mobility ◽  
Substantial Risk ◽  
Medical Outpatients

SummaryThe degree of thromboprophylaxis in medical outpatients is low despite a substantial risk for venous thromboembolism (VTE). This may be attributable to difficulties in assessing risk. Assessment tools like the Haas’ scorecard aid in determining the need for thromboprophylaxis. We aimed at evaluating how the use of this tool may aid physicians in appropriately using anticoagulants. This was an epidemiological, cross-sectional survey of acute medically ill patients with limited mobility treated by general practitioners and internists. Risk assessment for VTE by the treating physician was compared to calculated risk. Of 8,123 patients evaluated between August 2006 and April 2008, 7,271 fulfilled the in- and exclusion criteria. Mean age was 69.4 ± 13.6 years, and 45.2% were male. Of these 82.8% were high risk based on their acute medical condition, 37.9% based on their underlying chronic condition. Immobilisation, heart failure, pneumonia, age, obesity, and major varicosis were the most frequently encountered risk factors. The agreement between the Haas’ scorecard and physician indicated risk was high. At least 94.1% of patients with high risk received adequate anticoagulation mostly as low molecular weight heparins for a mean duration of 15.1 ± 30.5 days. There is a substantial risk for VTE in medical out-patients. Using a simple structured scorecard resulted in an overall appropriate risk assessment and high degree of anticoagulation. The scorecard may provide a tool to improve the overall awareness for VTE risk in medical outpatients, substantially improving the degree of prophylaxis in a patient population with largely underestimated risk.

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