IGAm: A novel index predicting long-term survival in patients with early-diagnosed inherited metabolic disorders

Area of Science:

• Biochemistry
• Pediatrics
• Genetics

Background:

• Inborn Errors of Metabolism (IMDs) present a significant childhood mortality risk, approximately 25%, without widespread newborn screening.
• While risk factors for mortality in IMDs are known, a predictive index for long-term survival has been lacking.
• Establishing such an index is crucial for proactive patient management and improving outcomes in IMDs.

Purpose of the Study:

• To identify independent prognostic factors for overall survival in infants diagnosed with IMDs.
• To develop and validate a novel index for predicting long-term survival in pediatric patients with IMDs.

Main Methods:

• Screened 260 infants hospitalized within their first month of life.
• Included 94 patients diagnosed with IMDs for the study.
• Analyzed clinical and laboratory data to determine independent prognostic factors for survival.

Main Results:

• Dysmorphism, extremity abnormalities, respiratory distress, cyanosis, elevated transaminases, elevated INR, hypoglycemia, hypoalbuminemia, metabolic acidosis, electrolyte imbalance, and anemia were associated with poorer survival.
• Elevated INR, hypoglycemia, and hypoalbuminemia were identified as independent prognostic factors for survival.
• A novel index, IGAm (INR-Glucose-Albumin metabolic index), was developed using these factors, demonstrating a c-index of 0.73 for survival prediction.

Conclusions:

• The novel IGAm index effectively predicts long-term survival in patients with IMDs.
• A high IGAm index is significantly associated with increased mortality risk in infants with IMDs.
• The IGAm index offers a valuable tool for assessing prognosis and guiding clinical management in IMDs.