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 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 Evaluation of the SAMe-TT2R2 score to predict the quality of anticoagulation control in patients after Mitral Valve Replacement

2021 ◽  
Author(s):  
Shubin Li ◽  
Yang Gao ◽  
Mingqiu Hu ◽  
Yuehuan Li ◽  
Xu Meng
Keyword(s):  
Mitral Valve ◽  
Valve Replacement ◽  
Mitral Valve Replacement ◽  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
General Information ◽  
Bleeding Complications ◽  
Youden Index ◽  
Oral Warfarin ◽  
Anticoagulation Control

Abstract Background:This study aimed to evaluate the role of SAMe-TT2R2 score in the prediction of anticoagulation control after mechanical mitral valve replacement.Methods and Results:We retrospectively reviewed clinical data of 161 patients who received mechanical mitral valve replacement at Beijing Anzhen Hospital from January 2013 to December 2013. Collected data included general information of patients, medication and smoking, postoperative embolism due to anticoagulant, bleeding complications and death information. In the SAMe-TT2R2 score results, the lowest score was 2 points (6.3%), the highest score was 7 points (0.7%). The number of people with 4 points was the largest ,60 people (41.4%).When the cut-off value of SAMe-TT2R2 score was set to ≥4, the sensitivity and specificity of predicting TTR≥65% were 69.8% and 93.1%, respectively. The Youden index was 0.629. If the cut-off value of SAMe-TT2R2 score was set to ≤4, the sensitivity and specificity of predicting TTR≥65% were 93.0% and 44.1%, respectively, and the Youden index was 0.371.ROC curve evaluates the predictive power of the SAMe-TT2R2 score for TTR≥65%. The figure showed that when the cut-off point≥4, the best combination of sensitivity and specificity was shown (69.8% and 93.1%, respectively).The area under the curve AUC was 0.854.Conclusions:After mechanical mitral valve replacement, the SAME-TT2R2 model can effectively predict the level of TTR during the course of using oral warfarin anticoagulation, and the SAMe-TT2R2 score ≥4 can be used to predict TTR<65%.

scholarly journals Accuracy of a 7-Item Patient-Reported Stand-Alone Tool for Periodontitis Screening

2021 ◽  
Vol 10 (2) ◽  
pp. 287
Author(s):  
Caroline Sekundo ◽  
Tobias Bölk ◽  
Olivier Kalmus ◽  
Stefan Listl
Keyword(s):  
Diagnostic Accuracy ◽  
Area Under The Curve ◽  
German Society ◽  
Screening Tools ◽  
University Hospital ◽  
Predictive Values ◽  
Periodontal Inflammation ◽  
Specificity And Sensitivity ◽  
Patient Reported ◽  
Sensitivity Specificity

Periodontitis is interrelated with various other chronic diseases. Recent evidence suggests that treatment of periodontitis improves glycemic control in diabetes patients and reduces the costs of diabetes treatment. So far, however, screening for periodontitis in non-dental settings has been complicated by a lack of easily applicable and reliable screening tools which can be applied by non-dental professionals. The purpose of this study was to assess the diagnostic accuracy of a short seven-item tool developed by the German Society for Periodontology (DG PARO) to screen for periodontitis by means of patient-reported information. A total of 88 adult patients filled in the patient-reported Periodontitis Risk Score (pPRS; range: 0 points = lowest periodontitis risk; 20 points = very high periodontitis risk) questionnaire before dental check-up at Heidelberg University Hospital. Subsequent clinical assessments according to Periodontal Screening and Recording (PSR®) were compared with pPRS scores. The diagnostic accuracy of pPRS at different cutoff values was assessed according to sensitivity, specificity, positive, and negative predictive values, as well as Receiver-Operator-Characteristic curves, Area Under the Curve (AUC), and logistic regression analysis. According to combined specificity and sensitivity (AUC = 0.86; 95%-CI: 0.76–0.95), the diagnostic accuracy of the pPRS for detecting periodontal inflammation (PSR® ≥ 3) was highest for a pPRS cutoff distinguishing between pPRS scores < 7 vs. ≥ 7. Patients with pPRS scores ≥ 7 had a 36.09 (95%-CI: 9.82–132.61) times higher chance of having a PSR® ≥ 3 than patients with scores < 7. In conclusion, the pPRS may be considered an appropriately accurate stand-alone tool for the screening for periodontitis.

scholarly journals The accuracy of the Ishii score chart in predicting sarcopenia in the elderly community in Chengdu

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoyan Chen ◽  
Lisha Hou ◽  
Ying Zhang ◽  
Shuyue Luo ◽  
Birong Dong
Keyword(s):  
Diagnostic Criteria ◽  
Working Group ◽  
The Elderly ◽  
Screening Tools ◽  
Youden Index ◽  
Likelihood Ratios ◽  
Predictive Values ◽  
European Working ◽  
Auc Value ◽  
Low Sensitivity

Abstract Background Sarcopenia is a disorder associated with age that reduces the mass of skeletal muscles, the strength of muscles, and/or physical activity. It increases the risk of fall incidence which can result in fractures, hospitalizations, limited movement, and considerably decreased quality of life. Hence, it is needed to explore candidate screening tools to evaluate sarcopenia in the initial phases. The reported studies have been revealed that the sensitivity and specificity of the Ishii score chart are higher. However, the Ishii score chart is principally based on the European Working Group on Sarcopenia in Older People (EWGSOP) consensus. Recently, the Asian Working Group for Sarcopenia (AWGS) 2019 consensus has updated its diagnostic criteria for sarcopenia,which was previously similar to the EWGSOP. Hence, it is necessary to determine whether the Ishii score chart is appropriate for use among the elderly population in China. The current study aimed to validate the precision of the Ishii score chart, within the Chinese old aged community to establish an effective model for the evaluation of sarcopenia. Methods The AWGS2019 sarcopenia diagnostic criteria were used as a standard, and among the elderly community, the accuracy of the Ishii score chart was determined by using indicators, including specificity, sensitivity, negative and positive predictive values, negative and positive likelihood ratios, Youden index, and receiver operating characteristic (ROC) curve. Results In the elderly Chengdu community, the prevalence rate of sarcopenia was 18.38 %, 19.91 % for males and 16.91 % for females. The Ishii score chart predicts sarcopenia at an AUC value of 0.84 with 95 % confidence interval (CI), ranging between 0.80 and 0.89 for females, and at an AUC value of 0.81 with 95 % CI, ranging between 0.75 and 0.86 for males.According to the original cut-off, which was set at 120 points for females, the corresponding sensitivity was 46.91 % and the specificity was 93.22 %. The 105 cut-off points (original) set for males revealed a corresponding sensitivity of 64.94 % and the specificity of 85.46 %. However, the original cut-off value exhibited low sensitivity, hence, we selected a new cut-off value. With the new cut-off value, the sensitivity, specificity, positive and negative predictive values for sarcopenia were 75.31 %, 79.9 %, 43 %, and 94 % for females, and 70.65 %, 81.35 %, 49 %, and 92 % for males, respectively. Conclusions The Ishii score chart was used for the prediction of sarcopenia in the old-age people of the Chengdu community and the obtained results showed a high value of predictability. Hence, more than 95 and 102 points were suggested for males and females, accordingly which can set to be the diagnostic cut-off values for the prediction of sarcopenia.

scholarly journals Application of Scheimpflug-Based Biomechanical Analyzer and Tomography in Early Detecting of Subclinical Keratoconus in Chinese Patients

2020 ◽  
Author(s):  
Yan Liu ◽  
Yu Zhang ◽  
Yue-guo Chen
Keyword(s):  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Roc Curves ◽  
Chinese Patients ◽  
Youden Index ◽  
Biomechanical Property ◽  
Surgical Safety ◽  
Morphological Index ◽  
Diagnostic Capacity

Abstract PurposeTo evaluate the value of Scheimpflug-based biomechanical analyzer combined with tomography in detecting early keratoconus by distinguishing normal eyes from frank keratoconus (KC) and forme frusta keratoconus (FFKC) eyes in Chinese patients. MethodsThis study included 31 bilateral frank keratoconus patients, 27 unilateral clinical manifest keratoconus patients with very asymmetric eyes, and 79 control subjects with normal corneas. Corneal morphological and biomechanical parameters were measured using the Pentacam HR and Corvis ST (OCULUS, Wetzlar, Germany). The diagnostic capacity of computed parameters reflecting corneal biomechanical and morphological traits [including Belin-Ambrósio deviation index (BAD_D), Corvis biomechanical index (CBI) and tomographic and biomechanical index (TBI)] was determined using receiver operating characteristic (ROC) curves and compared by DeLong test. Additionally, the area under the curve (AUC), the best cutoff values, and Youden index for each parameter were reported. The novel corneal stiffness parameter (Stress-Strain Index or SSI) was also compared between KC, FFKC and normal eyes.ResultsEvery morphological and biomechanical index analyzed in this study was significantly different between KC, FFKC and normal eyes (p=0.000). TBI was most valuable for detecting subclinical keratoconus (FFKC eyes) with an AUC of 0.928 (P=0.000), and any forms of corneal ectasia (FFKC and frank KC eyes) with an AUC of 0.966 (P=0.000). The sensitivity and specificity of TBI for detecting FFKC was 97.5% and 77.8%, for detecting any KC was 97.5% and 89.7%, with a cut-off value of 0.375. Morphological index BAD_D and biomechanical index CBI were also very useful in distinguishing any KC eyes from normal eyes with an AUC of 0.965 and 0.934, respectively. SSI was significantly different between KC, FFKC and normal eyes (P=0.000), indicating an independent decrease in corneal stiffness in KC eyes.Conclusion Combination of Scheimpflug-based biomechanical analyzer and tomography could increase the accuracy of detecting early keratoconus in Chinese patients. TBI was the most valuable index for detecting subclinical keratoconus with high sensitivity and specificity. Evaluation of corneal biomechanical property in refractive surgery candidates is helpful to recognize potential keratoconic eyes and increase surgical safety.

scholarly journals Are Sleep Questionnaires Valid in All Adult Age Groups as Screening Tools for Obstructive Sleep Apnea?

2020 ◽  
Vol 27 (2) ◽  
pp. 90-94
Author(s):  
Ho Min Lee ◽  
Jae Ki Kim ◽  
Jung Gwon Nam ◽  
Tae-Hoon Lee
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sensitivity And Specificity ◽  
Age Groups ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Apnea Hypopnea Index ◽  
Adult Age ◽  
Age Related ◽  
Obstructive Sleep

Background and Objectives: Evaluation of Epworth Sleepiness Scale (ESS), Berlin, STOP, and STOP-Bang questionnaire validities for obstructive sleep apnea (OSA) screening among various adult age groups.Materials and Method: Results for each of those questionnaires were compared with diagnostic overnight polysomnography (PSG) data obtained for 396 patients suffering either insomnia, sleep apnea, excessive daytime sleepiness, or chronic snoring who had been divided into three age groups (20-39, 40-59, or ≥60 years). For each questionnaire, the sensitivity, specificity, accuracy, and area under the curve (AUC) were calculated.Results: Among the OSA group [apnea hypopnea index (AHI) cutoff ＞5], Berlin and STOP questionnaire sensitivity and specificity were significantly different among the age groups. Among the moderate-to-severe OSA sub-group (AHI cutoff ＞15), the specificity of Berlin, STOP, and STOP-Bang questionnaire was significantly different among age groups.Conclusion: The Berlin and STOP questionnaires differed with patient age in OSA screening. The ESS questionnaire, by contrast, did not show any age-related differences of sensitivity and specificity in OSA screening or moderate-to-severe OSA screening.

scholarly journals Application of a scheimpflug-based biomechanical analyser and tomography in the early detection of subclinical keratoconus in chinese patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Liu ◽  
Yu Zhang ◽  
Yueguo Chen
Keyword(s):  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Biomechanical Properties ◽  
Chinese Patients ◽  
Youden Index ◽  
Roc Curve Analysis ◽  
Surgical Safety ◽  
Morphological Index

Abstract Background In vivo corneal biomechanics evaluation has been used to help screen early keratoconus in recent years. This study is to evaluate the value of a Scheimpflug-based biomechanical analyser combined with tomography in detecting subclinical keratoconus by distinguishing normal eyes from frank keratoconus (KC) and forme frusta keratoconus (FFKC) eyes in Chinese patients. Methods Study design: diagnostic test. This study included 31 bilateral frank keratoconus patients, 27 unilateral clinically manifesting keratoconus patients with very asymmetric eyes, and 79 control subjects with normal corneas. Corneal morphological and biomechanical parameters were measured using a Pentacam HR and a Corvis ST (OCULUS, Wetzlar, Germany). The diagnostic ability of computed parameters reflecting corneal biomechanical and morphological traits [including the Belin-Ambrósio deviation index (BAD_D), the Corvis biomechanical index (CBI) and the tomographic and biomechanical index (TBI)] was determined using receiver operating characteristic (ROC) curve analysis and compared by the DeLong test. Additionally, the area under the curve (AUC), the best cut-off values, and the Youden index for each parameter were reported. A novel corneal stiffness parameter, the stress-strain index (SSI), was also compared between KC, FFKC and normal eyes. Results Every morphological and biomechanical index analysed in this study was significantly different among KC, FFKC and normal eyes (P = 0.000). The TBI was most valuable in detecting subclinical keratoconus (FFKC eyes), with an AUC of 0.928 (P = 0.000), and both forms of corneal ectasia (FFKC and frank KC eyes), with an AUC of 0.966 (P = 0.000). The sensitivity and specificity of the TBI was 97.5 and 77.8 % in detecting FFKC and 97.5 and 89.7 % in detecting any KC, respectively, with a cut-off value of 0.375. The morphological index BAD_D and the biomechanical index CBI were also very useful in distinguishing eyes with any KC from normal eyes, with AUCs of 0.965 and 0.934, respectively. The SSI was significantly different between KC, FFKC and normal eyes (P = 0.000), indicating an independent decrease in corneal stiffness in KC eyes. Conclusions The combination of a Scheimpflug-based biomechanical analyser and tomography could increase the accuracy in detecting subclinical keratoconus in Chinese patients. The TBI was the most valuable index for detecting subclinical keratoconus, with a high sensitivity and specificity. Evaluation of corneal biomechanical properties in refractive surgery candidates could be helpful for recognizing potential keratoconic eyes and increasing surgical safety.

scholarly journals Testing the Accuracy of a Bedside Screening Tool Framework to Clinical Records for Identification of Patients at Risk of Malnutrition in a Rural Setting: An Exploratory Study

Nutrients ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 205
Author(s):  
Laura Alston ◽  
Megan Green ◽  
Melanie Nichols ◽  
Stephanie R. Partridge ◽  
Alison Buccheri ◽  
...  
Keyword(s):  
At Risk ◽  
Diagnostic Accuracy ◽  
Sensitivity And Specificity ◽  
Exploratory Study ◽  
Screening Tool ◽  
Rural Setting ◽  
Receiver Operating Curve ◽  
Specificity And Sensitivity ◽  
Patients At Risk ◽  
Clinical Records

This study aimed to explore the diagnostic accuracy of the Patient-Generated Subjective Global Assessment (PG-SGA) malnutrition risk screening tool when used to score patients based on their electronic medical records (EMR), compared to bedside screening interviews. In-patients at a rural health service were screened at the bedside (n = 50) using the PG-SGA, generating a bedside score. Clinical notes within EMRs were then independently screened by blinded researchers. The accuracy of the EMR score was assessed against the bedside score using area under the receiver operating curve (AUC), sensitivity, and specificity. Participants were 62% female and 32% had conditions associated with malnutrition, with a mean age of 70.6 years (SD 14.9). The EMR score had moderate diagnostic accuracy relative to PG-SGA bedside screen, AUC 0.74 (95% CI: 0.59–0.89). The accuracy, specificity and sensitivity of the EMR score was highest for patients with a score of 7, indicating EMR screen is more likely to detect patients at risk of malnutrition. This exploratory study showed that applying the PG-SGA screening tool to EMRs had enough sensitivity and specificity for identifying patients at risk of malnutrition to warrant further exploration in low-resource settings.

Development of a Clinical Risk Assessment Tool for 6-Week Postpartum Visit Nonadherence

2017 ◽  
Vol 35 (07) ◽  
pp. 688-694
Author(s):  
Sangeeta Kaur ◽  
Ray Bahado-Singh ◽  
Fred Qafiti
Keyword(s):  
Risk Assessment ◽  
Scoring System ◽  
Assessment Tool ◽  
Model Performance ◽  
Area Under The Curve ◽  
Test Group ◽  
Risk Assessment Tool ◽  
Postpartum Visit ◽  
Retrospective Case ◽  
Patients At Risk

Objective The 6-week postpartum visit (6WPP) is integral in addressing postpartum medical concerns. Failure to attend this routine visit is a measure of suboptimal care. This study aims to identify patients at risk of 6WPP nonadherence by developing a novel point-based risk scoring system. Methods In this retrospective case–control study (n = 587), a randomly selected subgroup, that is, the “test” group (n = 303), was used to develop the model. The remaining patients were used as an independent “validation” group (n = 284) to assess the model performance. Results Five factors were found to correlate with 6WPP nonadherence. Positive correlations include: Medicaid health insurance (odds ratio [OR]: 2.40, 95% confidence interval [CI]: 1.38–4.15); prenatal care initiated at ≥ 14 weeks' gestation (OR: 1.82, 95% CI: 1.11–2.96); and maternal age < 24.0 years (OR: 2.02, 95% CI: 1.13–3.61). Factors negatively correlated with nonadherence include: “married” marital status (OR: 0.50, 95% CI: 0.30–0.84) and primiparity (OR: 0.51, 95% CI: 0.30–0.85). The final scoring system demonstrates significant predictive power in both the test and validation groups (respectively, area under the curve = 0.682, p < 0.001 and 0.629, p < 0.001). Conclusion This risk assessment tool relies on routinely collected data, making its implementation simple. Applying it in the clinical setting allows for early, targeted intervention aimed at minimizing 6WPP nonadherence.

scholarly journals Sex- and Age-Specific Optimal Anthropometric Indices as Screening Tools for Metabolic Syndrome in Chinese Adults

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Jia Zhang ◽  
Wenhua Zhu ◽  
Lifeng Qiu ◽  
Lijuan Huang ◽  
Lizheng Fang
Keyword(s):  
Metabolic Syndrome ◽  
Area Under The Curve ◽  
Predictive Ability ◽  
Shape Index ◽  
Screening Tools ◽  
Youden Index ◽  
Chinese Adults ◽  
Anthropometric Indices ◽  
Receiver Operating Characteristic Curves ◽  
Cardiometabolic Risks

Objectives. To compare the predictive ability of six anthropometric indices for identification of metabolic syndrome (MetS) and to determine their optimal cut-off points among Chinese adults. Methods. A total of 59,029 participants were enrolled. Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) were measured. Receiver-operating characteristic curves analyses were performed to determine the discriminatory power of these indices for the identification of cardiometabolic risks and diagnosis of MetS. The differences in the area under the curve (AUC) values among the indices were evaluated. The Youden index was used to determine the optimal cut-off points. Results. WHtR and BRI exhibited the highest AUC values for identifying MetS and most cardiometabolic risk factors in both sexes, whereas ABSI showed the lowest AUC value. The general optimal cut-off points in women were 23.03 kg/m2 for BMI, 77.25 cm for WC, 0.490 for WHtR, and 3.179 for BRI; those in men were 24.64 kg/m2 for BMI, 87.25 cm for WC, 0.510 for WHtR, and 3.547 for BRI. The AUC values and cut-off points of the indices were also analyzed in each age and BMI category. Conclusions. In Chinese adults, WHtR and BRI showed a superior predictive power for MetS in both sexes, which can be used as simple and effective screening tools for cardiometabolic risks and MetS in clinical practice.

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