Shaolei Ma1, Changsheng Xu, Songqiao Liu, Zongfeng Hu, Wen'ge Liu, Jinsong Zhang, Xufeng Chen, Shinan Nie, Jun Zhang, Dujuan Sha, Jinjin Li, Haibin Ni, Haidong Qin, Ying Gao, Wei Wang, Chengfang Wu, Zhan Yu, Congjian Zhu. 1. Department of Emergency, Zhongda Hospital, Southeast University, Nanjing 210009, Jiangsu, China (Ma SL, Xu CS, Liu SQ, Hu ZF, Liu WG); Department of Emergency, Jiangsu Provincial People's Hospital, Najing 210029 Jiangsu, China (Zhang JS, Chen XF); Department of Emergency, Nanjing General Hospital, Nanjing 210002, Jiangsu, China (Nie SN); Department of Emergency, Nanjing Drum Tower Hospital, Nanjing 210008, Jiangsu, China (Zhang J, Sha DJ); Department of Emergency, Jiangsu Provincial Traditional Chinese Medicine Hospital, Nanjing 210004, Jiangsu, China (Li JJ); Department of Emergency, Jiangsu Provincial Hospital on Integration of Chinese and Western Medicine, Nanjing 210028, Jiangsu, China (Ni HB); Department of Emergency, the First Hospital of Nanjing, Nanjing 210006, Jiangsu, China (Qin HD); Department of Emergency, the Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu, China (Gao Y); Department of Critical Care Medicine, Pukou Hospital of Nanjing, Nanjing 210031, Jiangsu, China (Wang W); Department of Emergency, Jiangbei People's Hospital, Nanjing 210048, Jiangsu, China (Wu CF); Department of Emergency, Nanjing Jiangning Hospital, Nanjing 211100, Jiangsu, China (Yu Z); Department of Emergency, Nanjing Tongren Hospital, Nanjing 211102, Jiangsu, China (Zhu CJ). Corresponding author: Xu Changsheng, Email: xuchangsheng90@126.com.
Abstract
OBJECTIVE: To investigate the epidemiology characteristics of crawfish related rhabdomyolysis (RM) in Nanjing, 2016. METHODS: Outpatient and inpatient electronic medical system of 21 hospitals in Nanjing during 2016 were retrospectively searched, and all the patients diagnosed with RM were selected. The patients with none crayfish-related RM was excluded. The epidemiology characteristics were depicted. The geographic information system (GIS) was used to collect, manage and analyze the spatial data, to visualize it, to analyze the spatial distribution features of the disease, and to explore the cause of disease prediction. GeoDa 1.8 software was used to analyze the global and local spatial auto-correlation. RESULTS: A total of 1 183 patients with crawfish related RM were initially screened, excluding 59 patients with RM caused by trauma, severe exercise, heat stroke, myositis, poisoning, drugs, and genetic diseases, and 1 124 patients were enrolled. The proportion of men was 36.48% (410/1 124) with an incidence of 12.54/100 thousands; while of women was 63.52% (714/1 124) with an incidence of 21.86/100 thousands. The median age at onset was 34 (28, 43) years. From July to August, the incidence of crawfish related RM was the highest, accounting for 96.53% of the total number of cases. The top four incidence areas were Pukou (41.54/100 thousands), Jianye (25.94/100 thousands), Qixia (25.73/100 thousands), Gulou (25.04/100 thousands), all of which were adjacent to the Yangtze River. Global spatial autocorrelation analysis showed: Moran I = 0.427, Z = 2.646, P = 0.003, suggesting that the crawfish related RM had positive spatial autocorrelation. The results showed that the spatial structure of crawfish related RM existed in Nanjing in 2016. Local spatial autocorrelation analysis showed that the "high-high" concentration areas were Pukou, Jianye and Liuhe. The incidences of above three areas which were the Nanjing section of the lower reaches of the Yangtze River flowed through the region and surrounding areas were higher than the overall incidence of Nanjing. CONCLUSIONS: The prevalence of crawfish related RM in Nanjing during 2016 had an obvious region-concentrated character and global spatial autocorrelation with the high prevalent regions mainly concentrated in the urban areas adjacent to the Yangtze River.
OBJECTIVE: To investigate the epidemiology characteristics of crawfish related rhabdomyolysis (RM) in Nanjing, 2016. METHODS:Outpatient and inpatient electronic medical system of 21 hospitals in Nanjing during 2016 were retrospectively searched, and all the patients diagnosed with RM were selected. The patients with none crayfish-related RM was excluded. The epidemiology characteristics were depicted. The geographic information system (GIS) was used to collect, manage and analyze the spatial data, to visualize it, to analyze the spatial distribution features of the disease, and to explore the cause of disease prediction. GeoDa 1.8 software was used to analyze the global and local spatial auto-correlation. RESULTS: A total of 1 183 patients with crawfish related RM were initially screened, excluding 59 patients with RM caused by trauma, severe exercise, heat stroke, myositis, poisoning, drugs, and genetic diseases, and 1 124 patients were enrolled. The proportion of men was 36.48% (410/1 124) with an incidence of 12.54/100 thousands; while of women was 63.52% (714/1 124) with an incidence of 21.86/100 thousands. The median age at onset was 34 (28, 43) years. From July to August, the incidence of crawfish related RM was the highest, accounting for 96.53% of the total number of cases. The top four incidence areas were Pukou (41.54/100 thousands), Jianye (25.94/100 thousands), Qixia (25.73/100 thousands), Gulou (25.04/100 thousands), all of which were adjacent to the Yangtze River. Global spatial autocorrelation analysis showed: Moran I = 0.427, Z = 2.646, P = 0.003, suggesting that the crawfish related RM had positive spatial autocorrelation. The results showed that the spatial structure of crawfish related RM existed in Nanjing in 2016. Local spatial autocorrelation analysis showed that the "high-high" concentration areas were Pukou, Jianye and Liuhe. The incidences of above three areas which were the Nanjing section of the lower reaches of the Yangtze River flowed through the region and surrounding areas were higher than the overall incidence of Nanjing. CONCLUSIONS: The prevalence of crawfish related RM in Nanjing during 2016 had an obvious region-concentrated character and global spatial autocorrelation with the high prevalent regions mainly concentrated in the urban areas adjacent to the Yangtze River.