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.