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目的了解厦门市HIV感染者/AIDS病例首次CD4+T淋巴细胞水平及其影响因素。方法收集2012—2015年厦门市HIV感染者/AIDS病例基本资料及其首次CD4+T淋巴细胞计数资料。计量资料比较采用方差分析,多因素分析采用Logistic回归分析,P<0.05为差异有统计学意义。结果影响首次CD4+T淋巴细胞计数的因素有:年龄、婚姻状况、感染途径、样本来源、首次检测时间间隔。年龄越大,首次CD4+T淋巴细胞计数越低,差异有统计学意义(P<0.05);无配偶病例的首次CD4+T淋巴细胞计数显著高于有配偶,差异有统计学意义(P<0.05);不同感染途径对首次CD4+T淋巴细胞计数的影响差异有统计学意义(P<0.05);不同样本来源病例的首次CD4+T淋巴细胞计数比较,差异有统计学意义(P<0.05);不同首次检测时间间隔病例的首次CD4+T淋巴细胞计数比较,差异有统计学意义(P<0.05)。术前筛查、性病门诊是影响首次CD4+T淋巴细胞计数的主要因素(OR=0.31,95%CI为0.19~0.51;OR=0.54,95%CI为0.30~0.95)。结论厦门市感染者首次CD4+T淋巴细胞计数较低,应加大检测力度、扩大检测覆盖面,使感染者在感染早期就得以检测和确诊。
Objective To understand the level of CD4 + T lymphocytes in HIV / AIDS patients in Xiamen City and its influencing factors. Methods The basic data of HIV / AIDS cases in Xiamen City from 2012 to 2015 and their first CD4 + T lymphocyte count data were collected. Measurement data were compared using analysis of variance, multivariate analysis using Logistic regression analysis, P <0.05 for the difference was statistically significant. Results The factors influencing the first CD4 + T lymphocyte count were: age, marital status, route of infection, source of samples, time interval of first test. The higher the age, the lower the first CD4 + T lymphocyte count was, the difference was statistically significant (P <0.05). The first CD4 + T lymphocyte count was significantly higher in non-spouse cases than the spouse, with significant difference (P < 0.05). The difference of the first CD4 + T lymphocyte count by different routes of infection was statistically significant (P <0.05). The difference of the first CD4 + T lymphocyte count in different samples was statistically significant (P <0.05 ); The first CD4 + T lymphocyte count in different first time interval was statistically significant (P <0.05). Preoperative screening and STD clinics were the major factors influencing the first CD4 + T lymphocyte count (OR = 0.31, 95% CI 0.19-0.51; OR = 0.54, 95% CI 0.30-0.95). Conclusion The first CD4 + T lymphocyte count in people with HIV infection in Xiamen City is relatively low. Therefore, the detection intensity should be increased and the detection coverage should be expanded so that the infected patients can be detected and diagnosed early in the infection.