Nonlinear association between serum insulin, visceral fat area, and kidney function in female with type 2 diabetes: a retrospective study - Scorecard - MDSpire
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Nonlinear association between serum insulin, visceral fat area, and kidney function in female with type 2 diabetes: a retrospective study
Clinical Scorecard: Exploring the Nonlinear Relationships Among Serum Insulin Levels, Visceral Fat Area, and Renal Function in Women with Type 2 Diabetes: A Retrospective Analysis
At a Glance
Category
Detail
Condition
Key Mechanisms
Nonlinear associations between fasting insulin, visceral fat area, and estimated glomerular filtration rate (eGFR) in female patients with T2DM.
Target Population
Care Setting
Key Highlights
Significant nonlinear effects observed between fasting insulin, visceral fat area, and eGFR, with clinical implications for patient management.
Threshold for fasting insulin identified at 70.28 pmol/L; above this, negatively correlated with eGFR, indicating potential risk for renal impairment.
Visceral fat area threshold at 73.6 cm²; below this, positively correlated with eGFR, suggesting protective effects on renal function.
Study included 595 female patients after excluding incomplete data, ensuring robust findings.
Provides quantitative evidence for risk stratification of renal function in female patients with T2DM, emphasizing the need for targeted interventions.
Guideline-Based Recommendations
Diagnosis
Management
Consider thresholds for fasting insulin and visceral fat area in managing renal function, including potential pharmacological or lifestyle interventions.
Monitoring & Follow-up
Risks
Patient & Prescribing Data
Female patients with Type 2 Diabetes Mellitus.
Insulin levels and visceral fat area are critical in assessing renal function.
Clinical Best Practices
Incorporate fasting insulin and visceral fat area measurements in routine assessments, with specific protocols for monitoring changes over time.
Utilize eGFR as a key indicator for renal function in T2DM patients, with guidelines for follow-up based on eGFR trends.