Procolo Di Bonito1, Maria Rosaria Licenziati2, Giuseppina Campana2, Claudio Chiesa3, Lucia Pacifico4, Melania Manco5, Emanuele Miraglia Del Giudice6, Anna Di Sessa6, Marco Giorgio Baroni7, Pierluigi Marzuillo8, Giuliana Valerio9. 1. Department of Internal Medicine, "S. Maria delle Grazie", Pozzuoli Hospital, Naples, Italy. 2. Obesity and Endocrine Disease Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy. 3. Institute of Translational Pharmacology, National Research Council, Rome, Italy. 4. Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, Italy. 5. Research Area for Multifactorial Disease and Complex Phenotypes, Istituto di Ricovero e Cura a Carattere Scientifico Bambino Gesù Children's Hospital, Rome, Italy. 6. Department of Woman, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy. 7. Department of Clinical Medicine, Public Health, Life and Environmental Sciences (MeSVA), University of L'Aquila, Italy; Neuroendocrinology and Metabolic Diseases, IRCCS Neuromed, Pozzilli (IS), Italy. 8. Department of Woman, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy. Electronic address: pierluigi.marzuillo@gmail.com. 9. Department of Movement Sciences and Wellbeing, University of Naples Parthenope, Naples, Italy.
Abstract
OBJECTIVE: To compare the prevalence of mildly reduced estimated glomerular filtration rate (MRGFR) (eGFR >60 and < 90 mL/min/1.73 m2), calculated by two creatinine-based equations, and its association with cardiometabolic risk factors (CMRF) in youth with overweight (OW)/obesity (OB). METHODS: This is a multicenter cross-sectional study involving university and non-university hospital pediatrics departments. We enrolled 3,118 youth with OW/OB (5-14 years) and 286 healthy normal weight (NW) youth. eGFR was calculated using bedside Schwartz equation (eGFRBSE) and Full Age Spectrum equation (eGFRFAS). In OW/OB group we analyzed the association between eGFR calculated by both equations and CMRF. Uric acid (UA) and birth weight were available in 2,135 and in 1,460 youth. RESULTS: The prevalence of MRGFR was 3.8% in NW versus 7.8% in OW/OB (P = .016) by eGFRBSE, and 8.7% in NW versus 19.4% in OW/OB (P < .0001) by eGFRFAS. eGFRBSE and eGFRFAS identified 242 and 605 young people with OW/OB with MRGFR, respectively. Individuals with MRGFR according with both equations showed lower birth weight, younger age, higher BMI-SDS, non-high-density lipoprotein-cholesterol and UA as compared to those with normal eGFR. To examine whether the eGFRFAS was associated with a worse CMR profile also in the range of normal eGFRBSE, we reclassified young people with normal eGFRBSE (n = 2,876) according with eGFRFAS. Out of youth with normal eGFRBSE, 366 (12.7%) presented MRGFR by eGFRFAS and had lower age, higher BMI-SDS, BP and UA than the remaining youth reclassified as normal eGFRFAS. CONCLUSION: MRGFR is associated with an altered CMR profile in a large sample of young people with overweight (OW)/obesity (OB). The eGFRFAS equation identifies a higher prevalence of youth with MRGFR, compared to eGFRBSE equation.
OBJECTIVE: To compare the prevalence of mildly reduced estimated glomerular filtration rate (MRGFR) (eGFR >60 and < 90 mL/min/1.73 m2), calculated by two creatinine-based equations, and its association with cardiometabolic risk factors (CMRF) in youth with overweight (OW)/obesity (OB). METHODS: This is a multicenter cross-sectional study involving university and non-university hospital pediatrics departments. We enrolled 3,118 youth with OW/OB (5-14 years) and 286 healthy normal weight (NW) youth. eGFR was calculated using bedside Schwartz equation (eGFRBSE) and Full Age Spectrum equation (eGFRFAS). In OW/OB group we analyzed the association between eGFR calculated by both equations and CMRF. Uric acid (UA) and birth weight were available in 2,135 and in 1,460 youth. RESULTS: The prevalence of MRGFR was 3.8% in NW versus 7.8% in OW/OB (P = .016) by eGFRBSE, and 8.7% in NW versus 19.4% in OW/OB (P < .0001) by eGFRFAS. eGFRBSE and eGFRFAS identified 242 and 605 young people with OW/OB with MRGFR, respectively. Individuals with MRGFR according with both equations showed lower birth weight, younger age, higher BMI-SDS, non-high-density lipoprotein-cholesterol and UA as compared to those with normal eGFR. To examine whether the eGFRFAS was associated with a worse CMR profile also in the range of normal eGFRBSE, we reclassified young people with normal eGFRBSE (n = 2,876) according with eGFRFAS. Out of youth with normal eGFRBSE, 366 (12.7%) presented MRGFR by eGFRFAS and had lower age, higher BMI-SDS, BP and UA than the remaining youth reclassified as normal eGFRFAS. CONCLUSION: MRGFR is associated with an altered CMR profile in a large sample of young people with overweight (OW)/obesity (OB). The eGFRFAS equation identifies a higher prevalence of youth with MRGFR, compared to eGFRBSE equation.