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Obrycki Ł, Sarnecki J, Pac M, Lichosik M, Sopińska M, Placzyńska M, Milart J, Stańczyk M, Mirecka J, Wasilewska A, Michalski M, Lewandowska W, Dereziński T, Šuláková T, Šupík D, Čekuolis A, Vitkevič R, Wierzbicka A, Koziej J, Skoczyński K, Horubała J, Jankauskiene A, Kalicki B, Jobs K, Tkaczyk M, Feber J, Litwin M. Kidney volume normative values in Central European children aged 0-19 years: a multicenter study. Pediatr Nephrol 2024; 39:2147-2159. [PMID: 38427072 DOI: 10.1007/s00467-024-06278-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/17/2023] [Accepted: 12/18/2023] [Indexed: 03/02/2024]
Abstract
BACKGROUND AND OBJECITVES The currently available kidney volume normative values in children are restricted to small populations from single-centre studies not assessing kidney function and including none or only a small number of adolescents. This study aimed to obtain ultrasound-based kidney volume normative values derived from a large European White/Caucasian paediatric population with normal kidney function. METHODS After recruitment of 1427 children aged 0-19 years, 1396 individuals with no history of kidney disease and normal estimated glomerular filtration rate were selected for the sonographic evaluation of kidney volume. Kidney volume was correlated with age, height, weight, body surface area and body mass index. Kidney volume curves and tables related to anthropometric parameters were generated using the LMS method. Kidney volume predictors were evaluated using multivariate regression analysis with collinearity checks. RESULTS No clinically significant differences in kidney volume in relation to height were found between males and females, between supine and prone position and between left and right kidneys. Males had, however, larger age-related kidney volumes than females in most age categories. For the prediction of kidney volume, the highest coefficient correlation was observed for body surface area (r = 0.94), followed by weight (r = 0.92), height (r = 0.91), age (r = 0.91), and body mass index (r = 0.67; p < 0.001 for all). CONCLUSIONS This study presents LMS-percentile curves and tables for kidney volume which can be used as reference values for children aged 0-19 years.
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Affiliation(s)
- Łukasz Obrycki
- Department of Nephrology, Kidney Transplantation and Hypertension, Children's Memorial Health Institute, Warsaw, Poland.
| | - Jędrzej Sarnecki
- Department of Radiology, University Hospital Basel, Basel, Switzerland
| | - Michał Pac
- Department of Nephrology, Kidney Transplantation and Hypertension, Children's Memorial Health Institute, Warsaw, Poland
| | - Marianna Lichosik
- Department of Nephrology, Kidney Transplantation and Hypertension, Children's Memorial Health Institute, Warsaw, Poland
| | - Małgorzata Sopińska
- Department of Paediatrics, Paediatric Nephrology and Allergology, The Military Institute of Medicine, Warsaw, Poland
| | - Małgorzata Placzyńska
- Department of Paediatrics, Paediatric Nephrology and Allergology, The Military Institute of Medicine, Warsaw, Poland
| | - Joanna Milart
- Department of Paediatrics, Paediatric Nephrology and Allergology, The Military Institute of Medicine, Warsaw, Poland
| | - Małgorzata Stańczyk
- Department of Pediatrics, Immunology and Nephrology, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland
| | - Julia Mirecka
- Department of Pediatrics, Immunology and Nephrology, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland
| | - Agnieszka Wasilewska
- Department of Radiology, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland
| | - Maciej Michalski
- Department of Radiology, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland
| | | | | | - Terezie Šuláková
- Department of Pediatrics, University Hospital Ostrava and Medical Faculty University of Ostrava, Ostrava, Czech Republic
| | - David Šupík
- Department of Pediatrics, University Hospital Ostrava and Medical Faculty University of Ostrava, Ostrava, Czech Republic
| | - Andrius Čekuolis
- Institute of Clinical Medicine, Clinic of Pediatrics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Renata Vitkevič
- Institute of Clinical Medicine, Clinic of Pediatrics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Aldona Wierzbicka
- Department of Biochemistry and Experimental Medicine, Children's Memorial Health Institute, Warsaw, Poland
| | - Jan Koziej
- Department of Nephrology, Kidney Transplantation and Hypertension, Children's Memorial Health Institute, Warsaw, Poland
- Faculty of Medicine, Collegium Medicum, Cardinal Stefan Wyszyński University, Warsaw, Poland
| | - Krzysztof Skoczyński
- Department of Nephrology, Kidney Transplantation and Hypertension, Children's Memorial Health Institute, Warsaw, Poland
- Faculty of Medicine, Collegium Medicum, Cardinal Stefan Wyszyński University, Warsaw, Poland
| | | | - Augustina Jankauskiene
- Institute of Clinical Medicine, Clinic of Pediatrics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Bolesław Kalicki
- Department of Paediatrics, Paediatric Nephrology and Allergology, The Military Institute of Medicine, Warsaw, Poland
| | - Katarzyna Jobs
- Department of Paediatrics, Paediatric Nephrology and Allergology, The Military Institute of Medicine, Warsaw, Poland
| | - Marcin Tkaczyk
- Department of Pediatrics, Immunology and Nephrology, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland
| | - Janusz Feber
- Division of Nephrology, Department of Pediatrics, The Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Mieczysław Litwin
- Department of Nephrology, Kidney Transplantation and Hypertension, Children's Memorial Health Institute, Warsaw, Poland
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Qin Y, Liu E, Ni X, Huang Z, Tian L, He X, Cai J, Li Q. The normal reference values and estimation formulae of renal structural parameters in Chinese children based on large-sample CT data. Front Pediatr 2023; 11:1174310. [PMID: 37528878 PMCID: PMC10388191 DOI: 10.3389/fped.2023.1174310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 06/26/2023] [Indexed: 08/03/2023] Open
Abstract
Purpose Our aim was to investigate the normal reference value and to establish an estimation formulae for renal structural parameters (RSPs) based on large-sample CT data of Chinese children, which can provide a data reference for the clinical assessment of kidney development and diseases in Chinese children. Materials and Methods A total of 438 children aged 0-17 years with normal renal CT images and basic indices were continuously collected. The bilateral RSP, including renal length (RL), renal width (RW), renal thickness (RT), renal volume (RV), renal cortical thickness (RCT), renal artery diameter (RAD) and renal CT value, were measured. Kendall's rank correlation was used to analyze the correlation between RSP and sex. Pearson's correlation was used to analyze the correlation between RSP and age, height and weight. Differences in the RSP of bilateral kidneys were analyzed via a paired samples t-test. Multiple linear regression was used to analyze the multivariate relationships between RSP and basic indices and establish the estimation formula of RSP. Results The RSP of normal kidneys showed a dynamic increasing trend with age, except for the CT values. The reference value ranges (95% confidence interval) of normal RSP for each age group were determined. Pearson correlation analysis demonstrated strong correlations between RSP (RL, RW, RT, RV, RCT and, RAD) and basic indices (age, height and, weight), with height exhibiting the greatest correlation coefficient, followed by age or weight. Kendall's analysis showed that none of the RSPs were correlated with sex. The RL, RW, RV and RAD of the left kidney were larger than those of the right kidney, and the RT and RCT of the right kidney exhibited opposite results. Multiple linear regression analysis demonstrated a significant linear relationship between the RSP (RL, RW, RT, RV and, RCT) and the variables of the basic indices. The estimation formulae for calculating the RSP were established. Conclusion This is the first Chinese study to report of the trends, normal reference values and estimation formulae of normal RSP based on large-sample CT data. These results can provide data references for assessing adequate kidney growth or disease damage in Chinese children.
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Affiliation(s)
- Yong Qin
- Department of Radiology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - En Liu
- Department of Gastroenterology, Second Affiliated Hospital of Army Medical University, Chongqing, China
| | - Xiaoying Ni
- Department of Radiology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Zhongxin Huang
- Department of Radiology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Lu Tian
- Department of Radiology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoya He
- Department of Radiology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Jinhua Cai
- Department of Radiology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Qiu Li
- Department of Nephrology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
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Wu N, Liu L, Zhang Y, Wang L, Wang S, Zhao S, Li G, Yang Y, Lin G, Shen J, Wu Z, Qiu G, Zhang TJ. Retrospective Analysis of Associated Anomalies in 636 Patients with Operatively Treated Congenital Scoliosis. J Bone Joint Surg Am 2023; 105:537-548. [PMID: 37017616 DOI: 10.2106/jbjs.22.00277] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
BACKGROUND Congenital scoliosis is frequently associated with anomalies in multiple organ systems. However, the prevalence and distribution of associated anomalies remain unclear, and there is a large amount of variation in data among different studies. METHODS Six hundred and thirty-six Chinese patients who had undergone scoliosis correction surgery at Peking Union Medical College Hospital from January 2012 to July 2019 were recruited, as a part of the Deciphering disorders Involving Scoliosis and COmorbidities (DISCO) study. The medical data for each subject were collected and analyzed. RESULTS The mean age (and standard deviation) at the time of presentation for scoliosis was 6.4 ± 6.3 years, and the mean Cobb angle of the major curve was 60.8° ± 26.5°. Intraspinal abnormalities were found in 186 (30.3%) of 614 patients, with diastematomyelia being the most common anomaly (59.1%; 110 of 186). The prevalence of intraspinal abnormalities was remarkably higher in patients with failure of segmentation and mixed deformities than in patients with failure of formation (p < 0.001). Patients with intraspinal anomalies showed more severe deformities, including larger Cobb angles of the major curve (p < 0.001). We also demonstrated that cardiac anomalies were associated with remarkably worse pulmonary function, i.e., lower forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), and peak expiratory flow (PEF). Additionally, we identified associations among different concomitant malformations. We found that patients with musculoskeletal anomalies of types other than intraspinal and maxillofacial were 9.2 times more likely to have additional maxillofacial anomalies. CONCLUSIONS In our cohort, comorbidities associated with congenital scoliosis occurred at a rate of 55%. To our knowledge, our study is the first to show that patients with congenital scoliosis and cardiac anomalies have reduced pulmonary function, as demonstrated by lower FEV1, FVC, and PEF. Moreover, the potential associations among concomitant anomalies revealed the importance of a comprehensive preoperative evaluation scheme. LEVEL OF EVIDENCE Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- Nan Wu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Lian Liu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Department of Emergency Surgery, Qilu Hospital of Shandong University, Jinan, Shandong Province, People's Republic of China
| | - Yuanqiang Zhang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Department of Orthopedic Surgery, Qilu Hospital of Shandong University, Jinan, Shandong Province, People's Republic of China
| | - Lianlei Wang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Department of Orthopedic Surgery, Qilu Hospital of Shandong University, Jinan, Shandong Province, People's Republic of China
| | - Shengru Wang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Sen Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Graduate School of Peking Union Medical College, Beijing, People's Republic of China
| | - Guozhuang Li
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Graduate School of Peking Union Medical College, Beijing, People's Republic of China
| | - Yang Yang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Guanfeng Lin
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Jianxiong Shen
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Zhihong Wu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Guixing Qiu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Terry Jianguo Zhang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, People's Republic of China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
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Li G, Strong A, Wang H, Kim JS, Watson D, Zhao S, Vaccaro C, Hartung E, Hakonarson H, Zhang TJ, Giampietro PF, Wu N. TBX6 as a cause of a combined skeletal-kidney dysplasia syndrome. Am J Med Genet A 2022; 188:3469-3481. [PMID: 36161696 PMCID: PMC10473889 DOI: 10.1002/ajmg.a.62972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/24/2022] [Accepted: 08/06/2022] [Indexed: 01/31/2023]
Abstract
TBX6 encodes transcription-factor box 6, a transcription factor critical to paraxial mesoderm segmentation and somitogenesis during embryonic development. TBX6 haploinsufficiency is believed to drive the skeletal and kidney phenotypes associated with the 16p11.2 deletion syndrome. Heterozygous and biallelic variants in TBX6 are associated with vertebral and rib malformations (TBX6-associated congenital scoliosis) and spondylocostal dysostosis, and heterozygous TBX6 variants are associated with increased risk of genitourinary tract malformations. Combined skeletal and kidney phenotypes in individuals harboring heterozygous or biallelic TBX6 variants are rare. Here, we present seven individuals with vertebral and rib malformations and structural kidney differences associated with heterozygous TBX6 gene deletion in trans with a hypomorphic TBX6 allele or biallelic TBX6 variants. Our case series highlights the association between TBX6 and both skeletal and kidney disease.
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Affiliation(s)
- Guozhuang Li
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Alanna Strong
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA
- The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Haojun Wang
- Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Ji-Sun Kim
- Department of Pediatrics, Rutgers Robert Wood Johnson Medical Center, New Brunswick, NJ
| | - Deborah Watson
- The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Sen Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Courtney Vaccaro
- The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Erum Hartung
- Division of Nephrology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Hakon Hakonarson
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA
- The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Division of Pulmonary Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Terry Jianguo Zhang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Philip F. Giampietro
- Department of Pediatrics, Rutgers Robert Wood Johnson Medical Center, New Brunswick, NJ
- Department of Pediatrics, University of Illinois-Chicago, Chicago, IL
| | - Nan Wu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
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5
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Filler G, Torres-Canchala L, Sharma AP, Díaz González de Ferris ME, Restrepo JM. What to do with kidney length and volumes in large individuals? Pediatr Nephrol 2022; 38:1395-1398. [PMID: 36441281 DOI: 10.1007/s00467-022-05830-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Guido Filler
- Department of Pediatrics, Schulich School of Medicine & Dentistry, London Health Science Centre, Children's Hospital, Western University, 800 Commissioners Road East, ON, N6A 5W9, London, Canada.
- Department of Pathology and Laboratory Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N5A 5A5, Canada.
- Department of Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, N6A 5W9, Canada.
- The Lilibeth Caberto Kidney Clinical Research Unit, London Health Sciences Centre, London, ON, Canada.
| | | | - Ajay P Sharma
- Department of Pediatrics, Schulich School of Medicine & Dentistry, London Health Science Centre, Children's Hospital, Western University, 800 Commissioners Road East, ON, N6A 5W9, London, Canada
| | | | - Jaime M Restrepo
- Pediatric Nephrology Service, Fundación Valle del Lili, Cali, Colombia
- Universidad Icesi, Cali, Colombia
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Bianchi ME, Restrepo JM. Low Birthweight as a Risk Factor for Non-communicable Diseases in Adults. Front Med (Lausanne) 2022; 8:793990. [PMID: 35071274 PMCID: PMC8770864 DOI: 10.3389/fmed.2021.793990] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/08/2021] [Indexed: 11/18/2022] Open
Abstract
According to studies undertaken over the past 40 years, low birthweight (LBW) is not only a significant predictor of perinatal death and morbidity, but also increases the risk of chronic non-communicable diseases (NCDs) in adulthood. The purpose of this paper is to summarize the research on LBW as a risk factor for NCDs in adults. The Barker hypothesis was based on the finding that adults with an LBW or an unhealthy intrauterine environment, as well as a rapid catch-up, die due to NCDs. Over the last few decades, terminology such as thrifty genes, fetal programming, developmental origins of health and disease (DOHaD), and epigenetic factors have been coined. The most common NCDs include cardiovascular disease, diabetes mellitus type 2 (DMT2), hypertension (HT), dyslipidemia, proteinuria, and chronic kidney disease (CKD). Studies in mothers who experienced famine and those that solely reported birth weight as a risk factor for mortality support the concept. Although the etiology of NCD is unknown, Barry Brenner explained the notion of a low glomerular number (nGlom) in LBW children, followed by the progression to hyperfiltration as the physiopathologic etiology of HT and CKD in adults based on Guyton's renal physiology work. Autopsies of several ethnic groups have revealed anatomopathologic evidence in fetuses and adult kidneys. Because of the renal reserve, demonstrating renal function in proportion to renal volume in vivo is more difficult in adults. The greatest impact of these theories can be seen in pediatrics and obstetrics practice.
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Affiliation(s)
- Maria Eugenia Bianchi
- Laboratory Physiology, Department Basic Sciences, Institute School of Medicine, National Northeast University, Corrientes, Argentina
| | - Jaime M Restrepo
- Department of Pediatrics, Pediatric Nephrology Service, Icesi University, Valle del Lili, Cali, Colombia.,Fundación Valle del Lili, Cali, Colombia
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Kim DW, Ahn HG, Kim J, Yoon CS, Kim JH, Yang S. Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in Children. SENSORS 2021; 21:s21206846. [PMID: 34696057 PMCID: PMC8539895 DOI: 10.3390/s21206846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/04/2021] [Accepted: 10/12/2021] [Indexed: 11/23/2022]
Abstract
In this study, we aimed to develop a new automated method for kidney volume measurement in children using ultrasonography (US) with image pre-processing and hybrid learning and to formulate an equation to calculate the expected kidney volume. The volumes of 282 kidneys (141 subjects, <19 years old) with normal function and structure were measured using US. The volumes of 58 kidneys in 29 subjects who underwent US and computed tomography (CT) were determined by image segmentation and compared to those calculated by the conventional ellipsoidal method and CT using intraclass correlation coefficients (ICCs). An expected kidney volume equation was developed using multivariate regression analysis. Manual image segmentation was automated using hybrid learning to calculate the kidney volume. The ICCs for volume determined by image segmentation and ellipsoidal method were significantly different, while that for volume calculated by hybrid learning was significantly higher than that for ellipsoidal method. Volume determined by image segmentation was significantly correlated with weight, body surface area, and height. Expected kidney volume was calculated as (2.22 × weight (kg) + 0.252 × height (cm) + 5.138). This method will be valuable in establishing an age-matched normal kidney growth chart through the accumulation and analysis of large-scale data.
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Affiliation(s)
- Dong-Wook Kim
- Department of Biomedical Engineering, Yonsei University, Wonju 26494, Korea; (D.-W.K.); (H.-G.A.); (J.K.)
| | - Hong-Gi Ahn
- Department of Biomedical Engineering, Yonsei University, Wonju 26494, Korea; (D.-W.K.); (H.-G.A.); (J.K.)
| | - Jeeyoung Kim
- Department of Biomedical Engineering, Yonsei University, Wonju 26494, Korea; (D.-W.K.); (H.-G.A.); (J.K.)
| | - Choon-Sik Yoon
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea;
| | - Ji-Hong Kim
- Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea
- Correspondence: (J.-H.K.); (S.Y.); Tel.: +82-2-2019-3352 (J.-H.K.); +82-33-760-2459 (S.Y.)
| | - Sejung Yang
- Department of Biomedical Engineering, Yonsei University, Wonju 26494, Korea; (D.-W.K.); (H.-G.A.); (J.K.)
- Correspondence: (J.-H.K.); (S.Y.); Tel.: +82-2-2019-3352 (J.-H.K.); +82-33-760-2459 (S.Y.)
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Low agreement between kidney volume and kidney length z-scores. Pediatr Nephrol 2021; 36:1525-1532. [PMID: 33415483 DOI: 10.1007/s00467-020-04836-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/20/2020] [Accepted: 10/21/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Pediatric nephrologists use kidney length and kidney volume z-scores to longitudinally assess normal nephron endowment. However, most radiologists only report kidney length. Agreement between kidney length and kidney volume z-scores in children has been understudied. This study aims to assess agreement between kidney length and kidney volume z-scores in children. METHODS This novel cross-sectional cohort study prospectively followed prematurely born babies from a large specialized prematurity follow-up center. A healthy control group matched the cases by age and sex and was recruited from schools. Children were assessed for kidney length and kidney volumes at age 5 by three independent ultrasonographers. All measurements were performed in triplicate. Detailed anthropometry, blood pressure, and kidney function were also obtained. Age-independent z-scores were calculated for all parameters according to Scholbach and Weitzel and compared using descriptive statistics. RESULTS We studied 89 premature patients (median 32 weeks gestational age) and 33 healthy controls (median 38 weeks gestational age). There were 732 determinations of kidney length, width, and thickness. The mean z-score of the right kidney length was 0.65 ± 0.08 (SEM) compared with 0.88 ± 0.08 of the left kidney length (p = 0.0003, two-sided paired t test). The squared correlation coefficient for kidney volume to kidney length was 0.32 (p < 0.0001). Bland and Altman analysis revealed considerable bias with - 1.36 ± 0.76 standard deviations and 95% limits of agreement from - 2.83 to - 0.16. CONCLUSION Reporting only kidney length results in significant overestimation of age-independent z-scores. Based on our findings, consideration to measuring all kidney dimensions may be more appropriate.
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Oetzmann von Sochaczewski C, Deigendesch N, Lindner A, Baumgart J, Schröder A, Heimann A, Muensterer OJ. Comparing Aachen Minipigs and Pietrain Piglets as Models of Experimental Pediatric Urology to Human Reference Data. Eur Surg Res 2020; 61:95-100. [PMID: 33161395 DOI: 10.1159/000511399] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/02/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Swine had special roles in the development of minimally invasive procedures to treat vesicoureteral reflux, and minipigs have been gaining ground in recent years in experimental pediatric urology as they combine small size with less vulnerable adult physiology, but their suitability as a model has never been assessed. We therefore compared a landrace piglet with a juvenile minipig to elucidate comparability. METHODS We evaluated five 3-week old Pietrain piglets and five 3-month old Aachen Minipigs as representatives of landrace and minipig models based on their expected bodyweight being similar to a newborn human. We compared renal weight, volume - via the ellipsoid formula - and ureteral length. In addition, we calculated porcine renal function via Gasthuys' formula. In order to compare the groups with previously published values for infants, we used resampling techniques to allow comparison to humans. RESULTS Renal weight was higher in humans than in Pietrain piglets (ΔL = 7.6 g; ΔR = 5.4 g) and Aachen Minipigs (ΔL = 11 g; ΔR = 9.4 g). Renal volumes in humans were higher than in both Pietrain piglets (ΔL = 5.6 mL, p < 0.001; ΔR = 3.7 mL, p = 0.004) and Aachen Minipigs (ΔL = 8.1 mL; ΔR = 6.6 mL; both p < 0.001). Ureteral lengths in humans and both pig breeds were comparable as were estimated renal functions between both pig breeds. DISCUSSION AND CONCLUSION Both landrace piglets and juvenile minipigs are suitable models for experimental pediatric urology as parameters did not differ between them. In addition, the anatomic parameters are comparable or smaller than in infants. This might facilitate translational research as technical failure is less likely in larger organs. Additional research is necessary to cover higher age ranges than those included in the present pilot study.
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Affiliation(s)
| | - Nikolaus Deigendesch
- Institut für medizinische Genetik und Pathologie, Universitätsspital Basel, Basel, Switzerland
| | - Andreas Lindner
- Klinik und Poliklinik für Kinderchirurgie, Universitätsmedizin der Johannes-Gutenberg-Universität Mainz, Mainz, Germany
| | - Jan Baumgart
- Translational Animal Research Center, Johannes-Gutenberg-Universität Mainz, Mainz, Germany
| | - Arne Schröder
- Klinik für Kinder- und Jugendmedizin, Elisabeth-Krankenhaus Essen, Essen, Germany
| | - Axel Heimann
- Institut für neurochirurgische Pathophysiologie, Universitätsmedizin der Johannes-Gutenberg-Universität Mainz, Mainz, Germany
| | - Oliver J Muensterer
- Klinik und Poliklinik für Kinderchirurgie, Universitätsmedizin der Johannes-Gutenberg-Universität Mainz, Mainz, Germany
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Human and mouse studies establish TBX6 in Mendelian CAKUT and as a potential driver of kidney defects associated with the 16p11.2 microdeletion syndrome. Kidney Int 2020; 98:1020-1030. [PMID: 32450157 DOI: 10.1016/j.kint.2020.04.045] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 03/03/2020] [Accepted: 04/09/2020] [Indexed: 12/22/2022]
Abstract
Congenital anomalies of the kidney and urinary tract (CAKUTs) are the most common cause of chronic kidney disease in children. Human 16p11.2 deletions have been associated with CAKUT, but the responsible molecular mechanism remains to be illuminated. To explore this, we investigated 102 carriers of 16p11.2 deletion from multi-center cohorts, among which we retrospectively ascertained kidney morphologic and functional data from 37 individuals (12 Chinese and 25 Caucasian/Hispanic). Significantly higher CAKUT rates were observed in 16p11.2 deletion carriers (about 25% in Chinese and 16% in Caucasian/Hispanic) than those found in the non-clinically ascertained general populations (about 1/1000 found at autopsy). Furthermore, we identified seven additional individuals with heterozygous loss-of-function variants in TBX6, a gene that maps to the 16p11.2 region. Four of these seven cases showed obvious CAKUT. To further investigate the role of TBX6 in kidney development, we engineered mice with mutated Tbx6 alleles. The Tbx6 heterozygous null (i.e., loss-of-function) mutant (Tbx6+/‒) resulted in 13% solitary kidneys. Remarkably, this incidence increased to 29% in a compound heterozygous model (Tbx6mh/‒) that reduced Tbx6 gene dosage to below haploinsufficiency, by combining the null allele with a novel mild hypomorphic allele (mh). Renal hypoplasia was also frequently observed in these Tbx6-mutated mouse models. Thus, our findings in patients and mice establish TBX6 as a novel gene involved in CAKUT and its gene dosage insufficiency as a potential driver for kidney defects observed in the 16p11.2 microdeletion syndrome.
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