首页|5 268例海员肾结石/结晶的调查分析

5 268例海员肾结石/结晶的调查分析

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目的 了解海员肾结石/结晶检出情况,调查分析肾结石/结晶发病影响因素.方法 随机选取在上海航道医院健康体检的海员5 268例,收集年龄、饮水量、作业岗位,回顾性分析体检数据,根据有无肾结石/结晶分组,通过x2检验,分析肾结石/结晶海员发病影响因素.结果 发现肾结石/结晶海员1 332例(25.28%),其中肾结石587例(11.14%);肾结晶745例(14.14%).随着年龄的增加,海员肾结石/结晶的患病率增加(x2=191.84,P<0.01).每天饮水量增加的海员,肾结石/结晶患病率下降(x2=73.32,P<0.01).机舱内的轮机员在温度较高环境下工作,比甲板上的船员肾结石/结晶比例增高(x2=134.83,P<0.01).海员患高钙血症者肾结石/结晶患病率升高(x2=10.51,P<0.01).海员患高尿酸血症者肾结石/结晶患病率升高(x2=118.77,P<0.01).结论 海员泌尿系结石/结晶患病率较高,与年龄、饮水量、高温环境、血钙水平、血尿酸水平等有关.加强对海员的健康宣教,改变生活方式,控制相关危险因素等,早预防,早发现、早治疗;有助于减少海员泌尿系统结石/结晶的产生.以机器学习与深度学习为主的人工智能技术赋能于各个领域,影像组学是发展迅速的研究领域;通过计算机的持续学习与数据分析,将自动提供更为全面和个性化的诊断、治疗以及健康管理方案,改善海员的健康水平.
Investigation and analysis of 5 268 cases of kidney stones/crystals in seafarers
Objective To have a knowledge of the detection of kidney stones/crystals in seafarers,and make an analysis of their inducing factors.Methods A total of 5 268 seafarers who underwent health checkups at Shanghai Waterway Hospital were selected randomly.Data on age,water intake,and job position were collected,and the health examination data were retrospectively analyzed.The subjects were divided into groups with or without kidney stones/crystals,and the influencing factors for the occurrence of kidney stones/crystals were analyzed by chi square test.Results A total of 1 332 seafarers were found to have kidney stones/crystals,accounting for 25.28%(kidney stones:587 cases,11.14%;kidney crystals:745 cases,14.14%).According to different age groups of seafarers,the prevalence of kidney stones/crystals increased with age increase(x2=191.84,P<0.01).According to different daily water intake groups of seafarers,the prevalence of kidney stones/crystals decreased with daily water intake increase(x2=73.32,P<0.01).Engineers working under high-temperature environment in the engine room had a higher prevalence of kidney stones/crystals compared with deck crew(x2=134.83,P<0.01).Compared with the seafarers without high hypercalcemia,the prevalence of kidney stones/crystals in the seafarers with hypercalcemia was higher(x2=10.51,P<0.01).On the prevalence of kidney stones/crystals,the difference between seafarers with and without hyperuricemia was statistically significant(x2=118.77,P<0.01).Conclusion The prevalence of urinary system stones/crystals in seafarers is relatively high and is related to age,water intake,high-temperature working environment,and levels of blood calcium and blood uric acid.Strengthening health education for seafarers,changing their lifestyle,controlling relevant risk factors,and carrying out early prevention,detection,and treatment,can help reduce the occurrence of urinary system stones/crystals in seafarers.Artificial intelligence technologies,particularly those based on machine learning and deep learning,are empowering various fields.Radiomics is a rapidly developing research field.Through continuous learning and data analysis by computers,more comprehensive and individualized diagnosis,treatment,and health management plans will be automatically provided,thus improving seafarers'health.

SeafarerKidney stoneKidney crystalDeep learning

康惠铭、康德、王韦、刘世迪

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Monash University Malaysia,吉隆坡47500

上海航道医院体检中心,上海 200082

海军军医大学第一附属医院超声科,上海 200433

海员 肾结石 肾结晶 深度学习

2024

中华航海医学与高气压医学杂志
中华医学会

中华航海医学与高气压医学杂志

CSTPCD
影响因子:0.57
ISSN:1009-6906
年,卷(期):2024.31(6)