SFEBES2021 Poster Presentations Neuroendocrinology and Pituitary (47 abstracts)
1PGIMER, Chandigarh, India; 2GMSH-16, Chandigarh, India; 3SEHEAC, New Delhi, India; 4The Christie NHS Foundation Trust, Manchester, United Kingdom; 5Queen Mary University of London, London, United Kingdom
Context: To diagnose and monitor GH-related disorders, serum IGF-I is a cornerstone, but Indian ethnicity based data, following consensus criteria for establishment of normative data are not available.
Objectives: To generate normative IGF-I data for chronological age, bone age (BA) [Greulich & Pyle] and Tanner stage for both genders.
Setting and Participants: We conducted a cross-sectional epidemiological study for children (age 5-18 years) from the north Indian city of Chandigarh including 2191 apparently normal subjects (1141 males; 1050 females). With robust exclusion criteria, 1746 subjects (males=889 and females=857) were available.
Outcome Measures: Serum IGF-I using the Immunodiagnostic Systems (IDS) iSYS assay (ng/mL) were measured and normative data for 2.5th, 5th, 10th ,25th, 50th (median), 75th, 90th, 95th and 97.5th centiles were generated.
Results: Age-and gender-specific serum IGF-I normative data generated from a uniquely large cohort reflected various patterns. In age-specific data, females had IGF-I median peak at 13 years (393.9) [14 BA years (448.53)], and males had median peak at 16 years (372.01) [15 BA years (397.3)]. Females had earlier rise & peak and higher IGF-I values. In Tanner-specific data (n = 1735), females (n = 855) had median peak in stage IV (410.14) while for males (n = 880) median peak was in stage III (371.2) with maximum difference noticed between stage II and III in both genders. When reviewed published literature, Caucasian females had IGF-I median peak at 15 years (300.1) and Tanner stage III (382.8) and males had median peak at 15 years (318.3) and Tanner stage IV (439).
Conclusions: The normative data on serum IGF-I are ethnicity-specific and it will improve the diagnostic utility of IGF-I in evaluation and management of growth disorders. Using both age-and Tanner stage-specific normative data simultaneously can improve diagnostic work-up for growth disorders.