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基于HIS数据库中25338例肠恶性肿瘤的临床特征分析 被引量:3

Clinical features of 25 338 intestinal malignant tumor cases based on HIS data analysis
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摘要 目的:通过对医院信息系统(HIS)数据库中25 338例肠恶性肿瘤患者基本信息的分析,探究肠恶性肿瘤的临床特征。方法:以2003年-2011年全国20家三甲医院HIS系统中诊断为肠恶性肿瘤的住院患者为研究对象,分析其一般信息、区域分布、亚型分布、证候分布等。结果:直肠恶性肿瘤的患者最多,占48.54%,其次为结肠恶性肿瘤,比例为46.40%;西南地区占32.83%,南部地区占28.69%;肝胃不和的患者所占比例最大,为16.82%,其次为湿热蕴结(15.33%),再次为气阴两虚(14.79%)。结论:肠恶性肿瘤以男性患者居多,女性数量逐年增加。肠恶性肿瘤主要为大肠癌(结肠癌和直肠癌)。发病地区以南部及西南部为主,并且与当地的饮食结构有关。治疗应以疏肝和胃、清热燥湿、益气养阴为法,并结合中西医治疗。 Objective: To explore the clinical features of intestinal tumors by analyzing the basic information of 25 338 patients with intestinal malignant tumors in HIS database. Methods: Analyzing the general information, area distributions, subtype categories and syndrome distributions of all the hospitalized cases served as research object. Those cases with intestinal malignant tumors were gathered from 20 nationwide third-grade class-A hospital information system(HIS) during 2003-2011. Results: The proportion of rectal cancer patients was most, reached to 48.54%, secondly, colon cancer, accounted for 46.40%. Southwest region accounted for 32.83%, the southern region accounted for 28.69%. The patients with liver stomach disharmony accounted for the largest proportion, accounted for 16.82%, followed by wet hot(15.33%), again for the qi and yin deficiency(14.79%). Conclusion: Males with intestinal malignances is more than the females who are increasing annually. Large intestinal tumor(colon and rectal tumor) takes the highest proportion of intestinal malignances. The main tumor-attack areas are south and southwest, correlated with the local diet structures. The treating method should be dispersing liver qi for regulating stomach, clearing heat and drying dampness, tonifying qi and yin, and combining with integral treatments.
出处 《中华中医药杂志》 CAS CSCD 北大核心 2016年第8期3001-3004,共4页 China Journal of Traditional Chinese Medicine and Pharmacy
基金 国家重点基础研究发展计划(973计划)项目(No.2013CB532004)~~
关键词 医院信息系统 肠恶性肿瘤 真实世界 中医药 临床特征 证候 HIS Intestinal malignances Real world TCM Clinical features Syndrome
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