Study on Disease Distribution and Test Results of Tuberculosis of Regional Control Project in Guangxi, China

• 作者: Guosheng Su Hanzhen Su Lida Mo Shanqiu Wei Wanhong Huang Xiaolu Luo
• 来源期刊: 传染病进展(英文)
• 学科: 医学
• 关键词: National TUBERCULOSIS Control Project TUBERCULOSIS (TB) HIV FUNGI (FV) Combined with INFECTION
• 年，卷（期）: 2015,（4）
• 页码范围: 125-131
• 页数: 7页
• 分类号: R73

摘要

The purpose of this study is to investigate the disease distribution of tuberculosis in national regional project. 960 patients were selected from national tuberculosis control program who took treatments in the Fourth People’s Hospital Clinical Laboratory in Nanning Guangxi from January to November in 2013. Then we observed all those patients’ disease distribution and analyzed all the lab test indexes. We analyzed the results according to gender and age distribution. From the age distribution, we found that the incidence was lower at the age of 40 or younger, while higher incidence occurred to patients over 40 years old. There is statistical significance comparing these two age groups. P is less than 0.001. Disease distribution: 731 patients were infected with TB;21 patients were co-infected with tuberculosis (TB) and HIV. 196 patients were co-infected with TB and fungal. 12 patients were co-infected with TB, HIV and fungal. From the laboratory testing, we know there were 87 patients whose liver function indexes were abnormal. There were 192 patients whose blood RT indexes were abnormal. The liver function and blood RT indexes of patients with co-infection were higher than those infected purely. There is statistical significance in comparison P < 0.05. The study indicates that patients with older age are more likely infected with tuberculosis. In addition, there are a high proportion of patients with co-infection among these patients in this study. Meanwhile, the liver functions and blood RT indexes of patients combining with infection are higher than those infected TB purely. Prompt clinical prevention and treatment should be under reasonable inspections. General analysis can enable us to investigate more effective treatment plan. Then the best treatment result will be obtained.