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Yang M, Cao Z, Zhu W, Feng X, Zhou J, Liu J, Zhong Y, Zhou Y, Mei H, Cai X, Hu L, Zhou A, Xiao H. Associations between OGTT results during pregnancy and offspring TSH levels: a birth cohort study. BMC Pregnancy Childbirth 2024; 24:375. [PMID: 38760653 PMCID: PMC11100047 DOI: 10.1186/s12884-024-06554-4] [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: 01/25/2024] [Accepted: 04/29/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Limited evidence exists regarding the association between gestational diabetes mellitus (GDM) and elevated levels of thyroid-stimulating hormone (TSH) in newborns. Therefore, this study aimed to investigate the potential risk of elevated TSH levels in infants exposed to maternal GDM, considering the type and number of abnormal values obtained from the 75-gram oral glucose tolerance test (OGTT). METHODS A population-based, prospective birth cohort study was conducted in Wuhan, China. The study included women who underwent GDM screening using a 75-g OGTT. Neonatal TSH levels were measured via a time-resolved immunofluorescence assay. We estimated and stratified the overall risk (adjusted Risk Ratio [RR]) of elevated TSH levels (defined as TSH > 10 mIU/L or > 20 mIU/L) in offspring based on the type and number of abnormal OGTT values. RESULTS Out of 15,236 eligible mother-offspring pairs, 11.5% (1,753) of mothers were diagnosed with GDM. Offspring born to women diagnosed with GDM demonstrated a statistically significant elevation in TSH levels when compared to offspring of non-GDM mothers, with a mean difference of 0.20 [95% CI: 0.04-0.36]. The incidence of elevated TSH levels (TSH > 10 mIU/L) in offspring of non-GDM women was 6.3 per 1,000 live births. Newborns exposed to mothers with three abnormal OGTT values displayed an almost five-fold increased risk of elevated TSH levels (adjusted RR 4.77 [95% CI 1.64-13.96]). Maternal fasting blood glucose was independently and positively correlated with neonatal TSH levels and elevated TSH status (TSH > 20 mIU/L). CONCLUSIONS For newborns of women with GDM, personalized risk assessment for elevated TSH levels can be predicated on the type and number of abnormal OGTT values. Furthermore, fasting blood glucose emerges as a critical predictive marker for elevated neonatal TSH status.
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Affiliation(s)
- Meng Yang
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Zhongqiang Cao
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Wanting Zhu
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyuan Feng
- Department of echocardiography, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jieqiong Zhou
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jiuying Liu
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Zhong
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Zhou
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Mei
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Xiaonan Cai
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Liqin Hu
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Aifen Zhou
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China.
| | - Han Xiao
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China.
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Patel S, Verma N, Padhi P, Shah S, Nanda R, Mohapatra E. An Approach to Re-evaluate the Reference Cutoff of the Parameters of Newborn Screening: An Observational Study. Cureus 2023; 15:e45139. [PMID: 37842412 PMCID: PMC10570011 DOI: 10.7759/cureus.45139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/12/2023] [Indexed: 10/17/2023] Open
Abstract
Background Unless a cutoff level of the parameters of newborn screening (NBS) is defined, a screening test's results would end in high recall rates and apprehensive parents. The study aimed to establish a cutoff level of the healthy term newborns. Materials and methods The study was a retrospective observational data analysis on a cohort of 1158 term newborns who underwent NBS in our institute. The percentile distribution of the NBS parameters was computed and the 99th percentile value was considered the new cutoff. For lower values, such as neonatal glucose 6-phosphate dehydrogenase (nG6PD) and neonatal biotinidase (nBIOT), low percentile values were regarded as new cutoff value. Results Neonatal thyroid stimulating hormone (nTSH), nG6PD, neonatal immunoreactive trypsinogen (nIRT), and nBIOT showed a wide variation in the distribution. Most newborns had neonatal galactose (nGAL), nIRT, and nBIOT values above the median. The 99th percentile value of nTSH was 14.5 mIU/L, and that of neonatal 17-hydroxyprogesterone (n17-OHP) was 43.7 nmol/L. The 1.0th percentile value for nG6PD was decreased to 2.18 IU/gHb. The new cutoff values for nBIOT, nIRT, neonatal phenylketonuria (nPKU) and nGAL were 48.59 U, 95.3 µg/L, 2.3 mg/dL and 15.9 mg/dL. The mean and median nTSH values did not significantly differ (p=0.99) in the first five days of birth. On the contrary, the study population depicted considerably raised levels of n17-OHP on day 3, followed by a sharp decrease (p=0.029). Similarly, nIRT displayed significant differences in the first five days (p=0.017). Conclusion Using the 99th percentile values of the NBS parameters as the new cutoff levels might be beneficial in terms of the recall rates and cost burden.
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Affiliation(s)
- Suprava Patel
- Biochemistry, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Neharani Verma
- Biochemistry, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Phalguni Padhi
- Neonatology, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Seema Shah
- Biochemistry, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Rachita Nanda
- Biochemistry, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Eli Mohapatra
- Biochemistry, All India Institute of Medical Sciences, Raipur, Raipur, IND
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Cao Z, Li J, Yang M, Gong H, Xiang F, Zheng H, Cai X, Xu S, Zhou A, Xiao H. Prenatal exposure to perfluorooctane sulfonate alternatives and associations with neonatal thyroid stimulating hormone concentration: A birth cohort study. CHEMOSPHERE 2023; 311:136940. [PMID: 36273603 DOI: 10.1016/j.chemosphere.2022.136940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/10/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Chlorinated polyfluorinated ether sulfonic acids (Cl-PFESA) and perfluorobutane sulfonate (PFBS), used as perfluorooctanesulfonate (PFOS) alternatives, were indicated as thyroid hormone disruptive toxicants in experimental studies. However, it is unclear whether prenatal exposure to Cl-PFESA and PFBS affects neonatal thyroid stimulating hormone (TSH) in human. OBJECTIVE To disclose the relationships between prenatal Cl-PFESAs and PFBS exposure and neonatal thyroid-stimulating hormone (TSH) levels based on a perspective cohort study. METHODS A total of 1015 pairs of mother and newborn were included from an ongoing birth cohort study in Wuhan, China, between 2013 and 2014. Six PFASs in cord blood sera and TSH concentration in neonatal postpartum heel sticks blood were quantified. Mixed linear and weighted quantile sum (WQS) regression models were applied to assess the individual and combination effects of PFASs exposure on neonatal TSH levels with multiple covariates adjustments. RESULTS After adjusting for potential confounders and other five PFASs, for each 1-ng/mL increase of PFBS or 8:2 Cl-PFESA, was negatively associated with 25.90% (95%CI: 37.37%, -12.32%; P < 0.001) and 27.19% (95%CI: 46.15%, -1.55%; P = 0.033) change in TSH in male but not female infants, respectively. No significant association was found between other PFASs exposure and neonatal TSH. Higher PFAS mixture in cord blood was significantly associated with decrease TSH concentration in all newborns (β = -0.36; 95%CI: 0.58, -0.13; P = 0.001) identified by WQS regression model. PFBS, PFOS and 6:2 Cl-PFESA were the major contributors to the neonatal TSH decrement with the weights of 56.50%, 18.71%, 12.81% among PFAS mixture, respectively. CONCLUSIONS our prospective cohort study suggested a negative association of cord serum PFBS and 8:2 CI-PFESA with TSH concentration in newborns, especially for boys. Additional studies are required to elaborate on the underlying biological mechanisms, especially for PFBS.
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Affiliation(s)
- Zhongqiang Cao
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Junwei Li
- Department of Pediatrics, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Meng Yang
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Hongjian Gong
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Feiyan Xiang
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Hao Zheng
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Xiaonan Cai
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Aifen Zhou
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Han Xiao
- Institute of Maternal and Children Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
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Liu R, Tian JL, Huang XL, Song YZ. Genetic Factors Causing Thyroid Dyshormonogenesis as the Major Etiologies for Primary Congenital Hypothyroidism: Clinical and Genetic Characterization of 33 Patients. J Clin Med 2022; 11:7313. [PMID: 36555929 PMCID: PMC9786654 DOI: 10.3390/jcm11247313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/01/2022] [Accepted: 12/07/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND AIMS Although the significance of primary congenital hypothyroidism (CH) is supported by an increasing amount of evidence, the clinical and genetic characteristics of this condition are still poorly understood. This study aimed to explore the underlying genetic etiologies in a cohort of primary CH patients. SUBJECTS AND METHODS The clinical data of 33 patients with primary CH were collected and analyzed via a cross-sectional study. Genetic analysis was performed by high-throughput sequencing and Sanger verification, and the pathogenicity of the novel missense variants was predicted using a variety of comprehensive bioinformatic tools. RESULTS Among the 33 patients, 22 (22/33, 66.7%) harbored pathogenic variants in the causative genes of thyroid dysgenesis or dyshormonogenesis, with DUOX2 (15/33, 45.5%) topping the list, followed by TG, TPO, DUOXA2 and PAX8. Four novel genetic variants were detected, including a pathogenic frameshift and three likely pathogenic missense variants. Positive neonatal screening for TSH, neonatal jaundice and abnormal thyroid morphology were the main positive findings among all cases. Although 31 of the total 33 CH patients exhibited normal anthropometric and social performance, the other 2 had poor prognosis in this study. CONCLUSIONS This study reported 33 new CH patients bearing four novel genetic variants, which enriched the variant spectrum of CH genes. In this cohort, genetic factors causing thyroid dyshormonogenesis were the main etiologies of CH development. Most patients exhibited a favorable prognosis; however, systematic management remains a challenge in achieving improved clinical outcomes for CH patients.
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Affiliation(s)
- Rui Liu
- Department of Pediatrics, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Jing-Li Tian
- Department of Pediatrics, Huizhou No. 2 Women’s and Children’s Healthcare Hospital, Huizhou 516000, China
| | - Xiao-Ling Huang
- Neonatal Screening Center, Dongguan Maternal and Child Healthcare Hospital, Dongguan 523125, China
| | - Yuan-Zong Song
- Department of Pediatrics, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China
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An Optimal Capillary Screen Cut-off of Thyroid Stimulating Hormone for Diagnosing Congenital Hypothyroidism: Data from a Pilot Newborn Screening Program in Delhi. Indian Pediatr 2019. [DOI: 10.1007/s13312-019-1515-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Yu B, Long W, Yang Y, Wang Y, Jiang L, Cai Z, Wang H. Newborn Screening and Molecular Profile of Congenital Hypothyroidism in a Chinese Population. Front Genet 2018; 9:509. [PMID: 30420871 PMCID: PMC6216286 DOI: 10.3389/fgene.2018.00509] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 10/10/2018] [Indexed: 12/12/2022] Open
Abstract
is the most gene mutation in Chinese CH patients.
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Affiliation(s)
- Bin Yu
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Wei Long
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Yuqi Yang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Ying Wang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Lihua Jiang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Zhengmao Cai
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Huaiyan Wang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
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Sun F, Zhang JX, Yang CY, Gao GQ, Zhu WB, Han B, Zhang LL, Wan YY, Ye XP, Ma YR, Zhang MM, Yang L, Zhang QY, Liu W, Guo CC, Chen G, Zhao SX, Song KY, Song HD. The genetic characteristics of congenital hypothyroidism in China by comprehensive screening of 21 candidate genes. Eur J Endocrinol 2018; 178:623-633. [PMID: 29650690 PMCID: PMC5958289 DOI: 10.1530/eje-17-1017] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 04/11/2018] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Congenital hypothyroidism (CH), the most common neonatal metabolic disorder, is characterized by impaired neurodevelopment. Although several candidate genes have been associated with CH, comprehensive screening of causative genes has been limited. DESIGN AND METHODS One hundred ten patients with primary CH were recruited in this study. All exons and exon-intron boundaries of 21 candidate genes for CH were analyzed by next-generation sequencing. And the inheritance pattern of causative genes was analyzed by the study of family pedigrees. RESULTS Our results showed that 57 patients (51.82%) carried biallelic mutations (containing compound heterozygous mutations and homozygous mutations) in six genes (DUOX2, DUOXA2, DUOXA1, TG, TPO and TSHR) involved in thyroid hormone synthesis. Autosomal recessive inheritance of CH caused by mutations in DUOX2, DUOXA2, TG and TPO was confirmed by analysis of 22 family pedigrees. Notably, eight mutations in four genes (FOXE1, NKX2-1, PAX8 and HHEX) that lead to thyroid dysgenesis were identified in eight probands. These mutations were heterozygous in all cases and hypothyroidism was not observed in parents of these probands. CONCLUSIONS Most cases of congenital hypothyroidism in China were caused by thyroid dyshormonogenesis rather than thyroid dysgenesis. This study identified previously reported causative genes for 57/110 Chinese patients and revealed DUOX2 was the most frequently mutated gene in these patients. Our study expanded the mutation spectrum of CH in Chinese patients, which was significantly different from Western countries.
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Affiliation(s)
- Feng Sun
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jun-Xiu Zhang
- Department of EndocrinologyMaternal and Child Health Institute of Bozhou, Bozhou, China
| | - Chang-Yi Yang
- Department of EndocrinologyFujian Province Maternity & Children Hospital of Fujian Medical University, Fuzhou, Fujian Province, China
| | - Guan-Qi Gao
- Department of EndocrinologyThe Linyi People’s Hospital, Linyi, Shandong Province, China
| | - Wen-Bin Zhu
- Department of EndocrinologyFujian Province Maternity & Children Hospital of Fujian Medical University, Fuzhou, Fujian Province, China
| | - Bing Han
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Le-Le Zhang
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yue-Yue Wan
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiao-Ping Ye
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu-Ru Ma
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Man-Man Zhang
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Liu Yang
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qian-Yue Zhang
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei Liu
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Cui-Cui Guo
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Gang Chen
- Department of EndocrinologyFujian Province Hospital, Fuzhou, Fujian Province, China
| | - Shuang-Xia Zhao
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ke-Yi Song
- Department of EndocrinologyThe People’s Hospital of Bozhou, Bozhou, Anhui Province, China
| | - Huai-Dong Song
- The Core Laboratory in Medical Center of Clinical ResearchDepartment of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Correspondence should be addressed to H-D Song;
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Khanjani N, Ahmadzadeh A, Bakhtiari B, Madadizadeh F. The role of season and climate in the incidence of congenital hypothyroidism in Kerman province, Southeastern Iran. J Pediatr Endocrinol Metab 2017; 30:149-157. [PMID: 27941171 DOI: 10.1515/jpem-2016-0010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Accepted: 09/26/2016] [Indexed: 11/15/2022]
Abstract
BACKGROUND Congenital hypothyroidism (CH) is a common endocrine disease and an important cause of mental retardation. The purpose of this study was to investigate the probable role of season and climatic factors in the incidence of CH in Kerman province, Iran. METHODS Incidence data were collected from the CH screening program files from 2005 to 2011 in Kerman province, a number of 288,437 infants were included in the study. Climate data were collected from the Meteorological Office. The relations were tested by χ2-test, Pearson correlation, and negative binomial regression. RESULTS The overall incidence of CH in Kerman province was 2.68 per 1000 births. There was a significant difference in both the monthly and seasonal incidence of CH (p<0.05). There were a few significant, but weak correlation between some climatic factors and the incidence of CH in some regions, but the results were inconsistent. CONCLUSIONS It seems like there is no clear relation between CH incidence and climate factors, in Kerman Province. However, CH incidence was highest in October (Autumn) and lowest in June (Summer).
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Affiliation(s)
- Narges Khanjani
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran
- Monash Centre for Occupational & Environmental Health, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Ahmad Ahmadzadeh
- Department of Biostatics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Bahram Bakhtiari
- Department of Water Engineering, School of Agriculture, Shahid Bahonar University, Kerman, Iran
| | - Farzan Madadizadeh
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
- Department of Biostatics and Epidemiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran , Phone/Fax: 021 88989127
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Wang H, Wang X, Li Y, Dai W, Jiang D, Zhang X, Cui Y. Screening for inherited metabolic diseases using gas chromatography-tandem mass spectrometry (GC-MS/MS) in Sichuan, China. Biomed Chromatogr 2016; 31. [PMID: 27598852 DOI: 10.1002/bmc.3847] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 08/23/2016] [Accepted: 08/31/2016] [Indexed: 12/30/2022]
Affiliation(s)
- Hong Wang
- Department of Laboratory Medicine; West China Second University Hospital, Sichuan University; Sichuan China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education; West China Second University Hospital, Sichuan University; Sichuan China
| | - Xia Wang
- Department of Laboratory Medicine; West China Second University Hospital, Sichuan University; Sichuan China
| | - Yingying Li
- Department of Laboratory Medicine; West China Second University Hospital, Sichuan University; Sichuan China
| | - Wei Dai
- Department of Laboratory Medicine; West China Second University Hospital, Sichuan University; Sichuan China
| | - Dongmei Jiang
- Department of Laboratory Medicine; West China Second University Hospital, Sichuan University; Sichuan China
| | - Xiaodong Zhang
- Department of Laboratory Medicine; West China Second University Hospital, Sichuan University; Sichuan China
| | - Yali Cui
- Department of Laboratory Medicine; West China Second University Hospital, Sichuan University; Sichuan China
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