高原山地藏区医院住院武警官兵疾病谱

Disease spectra of hospitalized soldiers in a Tibetan Armed Police Hospital

目的分析驻高原山地藏区医院住院武警官兵疾病谱特点,为当地武警官兵的疾病防治工作提供依据。方法选取2013-11至2016-05在本院治疗的武警官兵住院患者,按国际疾病分类标准(ICD-10),对其病案数据库资料进行统计分析。结果共纳入611例次住院信息,年平均收治住院官兵约244例次,平均22.7岁。住院官兵系统疾病排在前5位的依次是消化系统(23.7%)、肌肉骨骼和结缔组织(12.6%)、皮肤和皮下组织(10.8%)、损伤和中毒(10.6%)、呼吸系统(9.0%),且不同特征患者有不同的疾病谱特点。导致官兵住院的疾病排名前5位的是胃肠炎(6.2%)、腰椎间盘突出(4.9%)、上呼吸道感染(4.7%)、阑尾炎(4.4%)、痔(3.9%)。除秋季以肌肉骨骼和结缔组织疾病最高发外,其余季节均以消化系统疾病排在首位。军事训练伤占住院患者的19.3%。结论消化系统、肌肉骨骼和结缔组织、皮肤和皮下组织、损伤和中毒、呼吸系统疾病是高原山地藏区部队卫生工作的重点,要根据不同人群及季节疾病谱的特点提出有针对性的防治措施。

Objective To investigate the disease spectrum of hospitalized soldiers in the Tibetan region and provide data for disease prevention in plateau mountain areas. Methods The inpatients from the armed police forces who had been treated at our hospital between November 1,2013 and May 31,2016 were selected and classified according to the ICD-10. Their medical records were analyzed. Results 611 cases were collected with a mean age of 22. 74 years old. About 244 soldierss were admitted each year.The top five systemic diseases were associated with the digestive system（ 23. 7%）, musculoskeletal and connective tissue（ 12. 6%）,skin and subcutaneous tissue（ 10. 8%）,injury and poisoning（ 10. 6%）,and respiratory system（ 9. 0%）. The top five diseases were gastroenteritis and tonsillitis（ 6. 2%）,protrusion of the intervertebral disc（ 4. 9%）,upper respiratory tract infection（ 4. 7%）,appendicitis（ 4. 4%）,and hemorrhoids（ 3. 9%）. In autumn,the incidence of musculoskeletal and connective tissue diseases was the highest,but in other seasons digestive system diseases were the most prevalent. Injuries during military training accounted for 19. 3%. Conclusion Diseases related to the digestive system,musculoskeletal and connective tissue,skin and subcutaneous tissue,injury and poisoning,and the respiratory system should be the focus of attention at Tibetan mountain hospitals for armed police forces. Targeted prevention measures should be recommended based on the spectral characteristics of different populations and seasons.