Dorota Lis-Studniarska, Marcin Studniarski, Aleksandra Zakrzewska, Robert Irzmański
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Student's t-test and Pearson's chi-squared test were used to find statistically significant risk factors.</p><p><strong>Results: </strong>Statistically significant risk factors were found: age, chronic kidney disease, T-scores of the femoral neck and T-score of the lumbar spine, serum phosphate levels, FRAX-BMD, FRAX-BMI, and the type of diet.</p><p><strong>Conclusions: </strong>Some observations concerning the influence of individual risk factors on the occurrence of fractures are consistent with those presented in the literature. However, it was also noticed that the patients with hyperthyroidism, rheumatic diseases, diabetes, cancer or gastrointestinal diseases, had a smaller percentage of fractures than the patients who did not have these diseases. 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引用次数: 0
摘要
简介和目的:研究人员查阅了波兰罗兹医科大学中央临床医院骨质疏松症治疗诊所 222 名患者的病历。研究分析了 27 个临床风险因素对该人群发生低能量骨折的影响。研究的目的是发现不同风险因素与数据库中记录的实际骨折之间可能存在的依赖关系:针对每个风险因素和每个类别(如糖尿病患者和非糖尿病患者),计算发生骨质疏松性骨折的患者比例和未发生骨折的患者比例。采用学生 t 检验和皮尔逊卡方检验来寻找具有统计学意义的风险因素:结果:发现了具有统计学意义的风险因素:年龄、慢性肾病、股骨颈 T 值和腰椎 T 值、血清磷酸盐水平、FRAX-BMD、FRAX-BMI 和饮食类型:关于个体风险因素对骨折发生的影响的一些观察结果与文献中的观点一致。然而,我们也注意到,患有甲状腺功能亢进症、风湿病、糖尿病、癌症或胃肠道疾病的患者发生骨折的比例低于未患这些疾病的患者。这可能是因为患有这些疾病的患者人数较少,也可能是因为他们已经接受了适当的治疗。
Determining the hierarchy of risk factors for low-energy fractures in patients of an Osteoporosis Treatment Clinic.
Introduction and objective: The medical records were examined of 222 patients of the Osteoporosis Treatment Clinic at the Central Clinical Hospital of the Medical University of Łódź, Poland. The influence was analyzed of 27 clinical risk factors on the occurrence of low-energetic fractures in this population. The aim of the research was to find possible dependencies between different risk factors, and the actual fractures that were recorded in the database.
Material and methods: For each risk factor and for each category (e.g., patients with diabetes and patients without diabetes), the percentage was computed of patients who had incidents osteoporotic fractures, and the percentage of those without fractures. Student's t-test and Pearson's chi-squared test were used to find statistically significant risk factors.
Results: Statistically significant risk factors were found: age, chronic kidney disease, T-scores of the femoral neck and T-score of the lumbar spine, serum phosphate levels, FRAX-BMD, FRAX-BMI, and the type of diet.
Conclusions: Some observations concerning the influence of individual risk factors on the occurrence of fractures are consistent with those presented in the literature. However, it was also noticed that the patients with hyperthyroidism, rheumatic diseases, diabetes, cancer or gastrointestinal diseases, had a smaller percentage of fractures than the patients who did not have these diseases. This may be explained by the small number of those having these diseases, or by the fact that they had already received appropriate treatment.
期刊介绍:
All papers within the scope indicated by the following sections of the journal may be submitted:
Biological agents posing occupational risk in agriculture, forestry, food industry and wood industry and diseases caused by these agents (zoonoses, allergic and immunotoxic diseases).
Health effects of chemical pollutants in agricultural areas , including occupational and non-occupational effects of agricultural chemicals (pesticides, fertilizers) and effects of industrial disposal (heavy metals, sulphur, etc.) contaminating the atmosphere, soil and water.
Exposure to physical hazards associated with the use of machinery in agriculture and forestry: noise, vibration, dust.
Prevention of occupational diseases in agriculture, forestry, food industry and wood industry.
Work-related accidents and injuries in agriculture, forestry, food industry and wood industry: incidence, causes, social aspects and prevention.
State of the health of rural communities depending on various factors: social factors, accessibility of medical care, etc.