Risk association and diagnostic value of body roundness index for cardiovascular-kidney-metabolic-related outcomes: a systematic review and meta-analysis - Scorecard - MDSpire
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Risk association and diagnostic value of body roundness index for cardiovascular-kidney-metabolic-related outcomes: a systematic review and meta-analysis
Clinical Scorecard: Evaluating the Relationship and Diagnostic Utility of Body Roundness Index in Cardiovascular-Kidney-Metabolic Outcomes: A Systematic Review and Meta-Analysis
At a Glance
Category
Detail
Condition
Cardiovascular-Kidney-Metabolic (CKM) Syndrome
Key Mechanisms
Visceral fat accumulation driving metabolic dysfunction via chronic inflammation, insulin resistance, lipotoxicity, and vascular endothelial dysfunction
Target Population
Individuals at risk of or with metabolic abnormalities, chronic kidney disease, cardiovascular disease, and related mortality
Care Setting
Clinical and research settings focused on early risk identification and stratified management of CKM syndrome
Key Highlights
BRI is significantly associated with risk of multiple CKM-related outcomes, especially metabolic syndrome.
BRI shows good discriminatory ability for metabolic abnormalities but limited predictive ability for chronic kidney disease, cardiovascular disease, and mortality.
BRI provides incremental risk stratification information beyond conventional anthropometric indices like BMI and waist circumference.
Guideline-Based Recommendations
Diagnosis
Use BRI as a complementary anthropometric measure to assess visceral fat and improve risk identification of metabolic abnormalities within CKM syndrome.
Consider BRI alongside traditional indices (BMI, waist circumference) for a more precise evaluation of body fat distribution.
Management
Incorporate BRI-based risk stratification to guide early intervention strategies targeting metabolic dysfunction to delay CKM progression.
Monitoring & Follow-up
Monitor changes in BRI over time to assess visceral fat accumulation and adjust management plans accordingly.
Risks
Relying solely on BMI may lead to overdiagnosis or misclassification due to inability to capture fat distribution heterogeneity.
BRI’s predictive value for CKD, CVD, and mortality requires further validation before routine clinical use.
Patient & Prescribing Data
Adults across diverse global populations at risk for or with CKM-related metabolic, renal, and cardiovascular conditions
BRI can enhance risk stratification and identification of high-risk individuals, particularly for metabolic syndrome, supporting targeted preventive and therapeutic interventions.
Clinical Best Practices
Use BRI in conjunction with conventional anthropometric measures to improve assessment of visceral adiposity and cardiometabolic risk.
Apply BRI for early detection of metabolic abnormalities to enable timely management and reduce progression to advanced CKM stages.
Interpret BRI results within the context of patient gender and specific CKM outcomes due to variability in association strength.
Support further prospective cohort studies to establish long-term predictive value and clinical utility of BRI across populations.