1
|
Xu J, Wang J, Zhao H. The Prevalence of Kashin-Beck Disease in China: a Systematic Review and Meta-analysis. Biol Trace Elem Res 2022; 201:3175-3184. [PMID: 36104539 DOI: 10.1007/s12011-022-03417-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 09/08/2022] [Indexed: 11/30/2022]
Abstract
Kashin-Beck disease (KBD) is a serious degenerative chronic joint disease. However, there are few quantitative syntheses of KBD prevalence studies. In this study, an initial systematic review and meta-analysis were performed to study the prevalence of KBD in China. Five databases (PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), WanFang Data, and the China Science-Technology Journal Database (VIP)) were searched by performing an overall search method to identify studies of KBD prevalence in China that were published from the inception of the database to May 30, 2022. The risk of bias was assessed with the standardized risk of bias tool. Heterogeneity was assessed with the I2 statistic. A random-effect meta-analysis was performed to study the prevalence of KBD through an analysis of published studies. A total of 34 studies involving 24,820 patients with KBD were included in this meta-analysis. These studies were geographically divided into 3 endemic areas. The pooled overall prevalence rate for KBD was 0.06% (95% CI, 0.04-0.08%). The pooled prevalence estimates were 0.05% (95% CI, 0.01-0.12%) for northeast endemic areas, 0.06% (95% CI, 0.03-0.09%) for northwest endemic areas, and 0.04% (95% CI, 0-0.14%) for southwest endemic areas. There was a negative correlation between KBD prevalence and the publication year. No potential risk of publication bias was found by Begg's test and Egger's test. The publication year and quality score were significantly associated with the detected heterogeneity. Our study indicates that the occurrence and development of KBD have been effectively controlled in recent decades. More effective strategies are needed to prevent and treat KBD.
Collapse
Affiliation(s)
- Junkui Xu
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi'an Jiaotong University, Xi'an, 710054, China
| | - Junhu Wang
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi'an Jiaotong University, Xi'an, 710054, China
| | - Hongmou Zhao
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi'an Jiaotong University, Xi'an, 710054, China.
| |
Collapse
|
2
|
Kang X, Liu Y, Gong Y, Huang L, Liu H, Hu M, Huang R, Chen F, Chen S, Zhang F, Ning Y, Li C, Zhou R, Zhao H, Wang X, Guo X. The Status of Selenium and Zinc in the Urine of Children From Endemic Areas of Kashin-Beck Disease Over Three Consecutive Years. Front Nutr 2022; 9:862639. [PMID: 35464016 PMCID: PMC9033266 DOI: 10.3389/fnut.2022.862639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 03/04/2022] [Indexed: 11/21/2022] Open
Abstract
Selenium deficiency is one of the main risk factors for Kashin-Beck disease (KBD). This study aimed to detect the status of selenium and zinc in the urine of children from endemic areas of KBD over three consecutive years and to evaluate whether selenium and zinc levels in children in Shaanxi Province remain normal after stopping selenium supplementation. The samples of urine were collected in consecutive years (2017–2019) to detect selenium content by hydride generation atomic fluorescence spectrometry (HGAFS) and to detect zinc content by atomic absorption spectrophotometry (AAS). Generalized estimation equation (GEE) analysis was integrated to assess the comprehensive nutritional status and dietary structure of children. Data were processed in duplicate and analyzed by SPSS 18.0. This study included 30 X-ray-positive KBD cases and 123 healthy children aged 7–12 years. A total of 424 urine and 137 hair samples were collected over three consecutive years for selenium determination. The mean value of urinary selenium in all subjects was 6.86 μg/l (2017), 8.26 μg/l (2018), and 4.04 μg/l (2019), and the mean value of urinary zinc in all subjects was 0.36 mg/l (2017), 0.39 mg/l (2018), and 0.31 mg/l (2019) for the three consecutive years of 2017–2019. The mean values of urinary selenium were 6.56 and 6.94 μg/l (2017), 8.69 and 8.14 μg/l (2018), and 4.57 and 3.90 μg/l (2019) in the KBD-X and normal groups, respectively; and the mean value of urinary zinc were 0.38 and 0.35 mg/l (2017), 0.41 and 0.39 mg/l (2018), and 0.43 and 0.28 mg/l (2019) in the KBD-X and normal groups, respectively. The mean value of hair selenium in 137 subjects was 275.08 μg/kg and the mean values of hair selenium were 267.48 and 276.61 μg/kg in the KBD-X group and normal group, respectively. The level of selenium/zinc showed a trend of increasing first and then decreasing during the three consecutive years. The level of selenium in all subjects from the endemic areas was lower than normal, which reminds us to monitor the state of KBD constantly and adjust selenium salt supplementation in accordance with the changes in the KBD state.
Collapse
Affiliation(s)
- Xin Kang
- Department of Sports Medicine, Honghui Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yanli Liu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Yi Gong
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Lin Huang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Hongliang Liu
- Department of Orthopedics, Honghui Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Minhan Hu
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Ruitian Huang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Feihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Sijie Chen
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Feiyu Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Yujie Ning
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Cheng Li
- Department of Kashin-Beck Disease and Keshan Disease Prevention, Shaanxi Provincial Institute for Endemic Disease Control, Xi'an, China
| | - Rong Zhou
- Department of Kashin-Beck Disease and Keshan Disease Prevention, Shaanxi Provincial Institute for Endemic Disease Control, Xi'an, China
| | - Hongmou Zhao
- Foot and Ankle Surgery Department, Honghui Hospital of Xi'an Jiaotong University, Xi'an, China
- *Correspondence: Hongmou Zhao
| | - Xi Wang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
- Xi Wang
| | - Xiong Guo
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
- Xiong Guo
| |
Collapse
|
3
|
Gu K, Li X, Xiang W, Jiang X. The Relationship Between Serum Copper and Overweight/Obesity: a Meta-analysis. Biol Trace Elem Res 2020; 194:336-347. [PMID: 31300957 DOI: 10.1007/s12011-019-01803-6] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 06/26/2019] [Indexed: 01/03/2023]
Abstract
The relationship between serum copper (Cu) level and overweight/obesity remains controversial. The purpose of this meta-analysis is to evaluate the relationship. A comprehensive literature search was performed in PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), and Wanfang databases for relevant articles until March 20, 2019. The random-effect model (REM) was adopted to compute the combined standardized mean difference (SMD) with 95% confidence interval (CI). Publication bias was estimated using the visualization of funnel plots and Egger's test. In the end, twenty-one articles were included in the meta-analysis. Compared with controls, serum Cu level was higher in obese children (SMD (95% CI) 0.74 (0.16, 1.32)) and in obese adults (SMD (95% CI) 0.39 (0.02, 0.76)). There was no significant difference in serum Cu between overweight and control groups in children (SMD (95% CI) 1.52 (- 0.07, 3.12)) and in adults (SMD (95% CI) 0.16 (- 0.06, 0.38)). Moreover, subgroup analysis revealed a higher serum Cu level in obese children (SMD (95% CI) 0.90 (0.36, 1.45)) and obese adults (SMD (95% CI) 0.47 (0.05, 0.88)) compared with healthy weight controls. The SMD differs significantly between obese children diagnosed by weight-for-height and controls (SMD (95% CI) 1.56 (0.57, 2.55)), and there was a significant difference of serum Cu level between obese adults diagnosed by BMI (WHO) and controls (SMD (95% CI) 0.54 (0.08, 1.01)). This meta-analysis indicates that a higher serum Cu level might be associated with the risk of obesity in children and adults, and these findings need to be further confirmed.
Collapse
Affiliation(s)
- Kunfang Gu
- Department of Epidemiology and Health Statistics, The Medical College of Qingdao University, No. 38 Dengzhou Road, Qingdao, 266021, China
| | - Xuekui Li
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, No. 175 Shandong Road, Qingdao, 266021, China
| | - Wenzhi Xiang
- Department of Epidemiology and Health Statistics, The Medical College of Qingdao University, No. 38 Dengzhou Road, Qingdao, 266021, China
| | - Xiubo Jiang
- Department of Epidemiology and Health Statistics, The Medical College of Qingdao University, No. 38 Dengzhou Road, Qingdao, 266021, China.
| |
Collapse
|
4
|
Wang X, Ning Y, Zhang P, Li C, Zhou R, Guo X. Hair multi-bioelement profile of Kashin-Beck disease in the endemic regions of China. J Trace Elem Med Biol 2019; 54:79-97. [PMID: 31109624 DOI: 10.1016/j.jtemb.2019.04.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Revised: 03/28/2019] [Accepted: 04/08/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Kashin-Beck disease (KBD) is a serious chronic osteochondral disease that is endemic in humans. Selenium (Se) has been considered in hypotheses of the aetiology of KBD, but few studies have explored the relationship between other elements and KBD. OBJECTIVE This study explored the relationship between 39 elements and KBD. METHODS In this retrospective study, 150 boys aged 6 to 14 years were randomly selected from a total population of 1,214 children. Subjects from endemic areas were divided into five groups: (KBD -Bin, N = 30; KBD + Se-Yongshou, N = 30; Control -Bin, N = 30; Control + Se -Yongshou, N = 30; and Control External -Chang'an, N = 30). Samples of occipital hair were collected from each subject, and thirty-nine elements, including 15 toxic elements, 19 nutrient elements, and 5 other elements were assayed by inductively coupled plasma mass spectrometry (ICP-MS). Correlation analysis of the elements in each group was performed by ggcorrplot (visualization of a correlation matrix using 'ggplot2') and PerformanceAnalytics packages in the program R Project. RESULTS Among the 15 toxic elements, the levels of aluminum (Al) and bismuth (Bi) in the KBD -Bin were significantly higher than in the other groups, and the levels of silver (Ag), beryllium (Be), platinum (Pt), antimony (Sb), tin (Sn) and lead (Pb) in the KBD -Bin were significantly lower than in the other groups. Among the 19 nutrient elements, the levels of selenium (Se), iodine (I), sulfur (S), and boron (B) in the KBD -Bin were significantly lower than in the other groups. The levels of calcium (Ca), iron (Fe), manganese (Mn), chromium (Cr), strontium (Sr) and phosphorus (P) in the KBD -Bin were significantly higher than in the other groups. Correlations between various elements were remarkably different among the groups. There were positive correlations between As and Pb, Cd and Sb, Pb and Sb, Sb and U in the Control External -Chang'an, between Al and Ni, Cd and Pb, Tl and Ni, Ti and U in the Se-S KBD, and between B and I, B and Mo, Mn and V in the Control External -Chang'an. CONCLUSIONS These findings indicate that the interactions between elements do not represent a simple reciprocal relationship in the occurrence of KBD. In fact, KBD was associated with an imbalance in multiple elements that play a dynamic and interactive role in the development of the disease.
Collapse
Affiliation(s)
- Xi Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, PR China; Xi'an Jiaotong University Global Health Institute
| | - Yujie Ning
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, PR China
| | - Pan Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, PR China
| | - Cheng Li
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, PR China; Shaanxi Procincial Institute for Endemic Disease Control, PR China
| | - Rong Zhou
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, PR China; Shaanxi Procincial Institute for Endemic Disease Control, PR China
| | - Xiong Guo
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, PR China.
| |
Collapse
|
5
|
Wang X, Ning Y, Liu A, Qi X, Liu M, Zhang P, Guo X. The systematic review and meta-analysis of X-ray detective rate of Kashin-Beck disease from 1992 to 2016. BMC Musculoskelet Disord 2019; 20:78. [PMID: 30764809 PMCID: PMC6376664 DOI: 10.1186/s12891-019-2461-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 02/07/2019] [Indexed: 01/10/2023] Open
Abstract
Background Kashin-Beck disease (KBD) is a serious human endemic chronic osteochondral disease. However, quantitative syntheses of X-ray detective rate studies for KBD are rare. We performed an initial systematic review and meta-analysis to assess the X-ray detective rate of KBD in China. Methods For this systematic review and meta-analysis, we searched five databases (PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), WanFang Data and the China Science and Technology Journal Database (VIP))using a comprehensive search strategy to identify studies of KBD X-ray detective rate in China that were published from database inception to January 13, 2018. The X-ray detective rate of KBD was determined via an analysis of published studies using a random effect meta-analysis with the proportions approach. Subgroup analysis and meta-regression were used to explore heterogeneity, and study quality was assessed using the risk of bias tool. Results A total of 53 studies involving 14,039 samples with X-ray detective rate in 163,340 observations in total were included in this meta-analysis. These studies were geographically diverse (3 endemic areas). The pooled overall X-ray detective rate for KBD was 11% (95%CI,8–15%;Z = 13.14; p < 0.001). The pooled X-ray detective rate estimates were 11% (95%CI, 6–17%; Z = 7.06; p < 0.001) for northeast endemic areas, 13% (95%CI, 7–20%; Z = 7.45; p < 0.001) for northwest endemic areas, and 8% (95%CI, 5–12%; Z = 7.90; p < 0.001) for southwest endemic areas. There was a significant relationship between the survey year and the X-ray detective rate of KBD. Conclusions Our systematic review found that the summary estimate of the X-ray detective rate of KBD was 11% and, that KBD X-ray positive rate ranged from 8.00 to 15.00% depending on the study. Further research is required to identify effective strategies for preventing and treating KBD. Electronic supplementary material The online version of this article (10.1186/s12891-019-2461-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Xi Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No.76 Yanta West Road, 710061, Xi'an, People's Republic of China.,Xi'an Jiaotong University Global Health Institutes, No.76 Yanta West Road, Xi'an, 710061, People's Republic of China
| | - Yujie Ning
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No.76 Yanta West Road, 710061, Xi'an, People's Republic of China
| | - Amin Liu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No.76 Yanta West Road, 710061, Xi'an, People's Republic of China
| | - Xin Qi
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No.76 Yanta West Road, 710061, Xi'an, People's Republic of China
| | - Meidan Liu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No.76 Yanta West Road, 710061, Xi'an, People's Republic of China
| | - Pan Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No.76 Yanta West Road, 710061, Xi'an, People's Republic of China
| | - Xiong Guo
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No.76 Yanta West Road, 710061, Xi'an, People's Republic of China.
| |
Collapse
|