[Survival status and influencing factors of death risk of HIV-infected patients in Hangzhou, 2004-2023].

J F Chen, K Xu, X L Zhang, H Wu, K N Liu, S C Huang
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Abstract

Objective: To analyze the survival status and death factors of confirmed HIV-infected patients in Hangzhou to provide a basis for the formulation of AIDS prevention and treatment strategies. Methods: A retrospective cohort study was conducted. The data were from the HIV/AIDS Comprehensive Response Information Management System of the Chinese Disease Control and Prevention Information System.Epidemiological characteristics of HIV-infected patients were comparied in Hangzhou City from 2004 to 2023 by using chi-square Test. The survival rate of HIV-infected patients in Hangzhou was calculated by the life table method, the survival curves of different subgroups were described by the Kaplan-Meier method, and the Cox proportional hazard regression model was used to analyze the influencing factors of death risk. The SPSS 26.0 software was used for statistical analysis. Results: Among the 9 457 subjects, the total follow-up time was 58 004.18 person-years, 494 patients died, fatality rate of all-cause cases was 0.85 per 100 person-years.The average survival time was 18.59 (95%CI:18.40-18.78) years. Malignant neoplasms and pneumocystis pneumonia were the first (14.37%,71/494) and second (10.73%, 53/494) causes of death, respectively. Death within 6 months after diagnosis accounted for 42.51% (210/494), and suicide accounted for 4.25% (21/494). Multivariate Cox regression analysis showed that compared with those who received antiviral treatment (ART) within 3 months of diagnosis, those who received ART outside 3 months and those who did not receive ART had a 1.65 (95%CI:1.25-2.19) and 20.68 (95%CI:15.80-27.06) times risk of death, respectively. The HIV-infected patients with high CD4+T lymphocytes (CD4) counts for the first time had a lower risk of death. The risk of death of patients with baseline CD4 counts of 200-349 cells/µl, 350-499 cells/µl, and ≥500 cells/µl was 0.38 (95%CI:0.29-0.49), 0.26 (95%CI:0.19-0.36), 0.21 (95%CI:0.14-0.31) times higher than that of baseline CD4 counts <200 cells/µl, respectively. Conclusions: The overall survival of the HIV-infected patients was good in Hangzhou from 2004 to 2023. Early detection of HIV infection and timely mobilization to participate in ART was the key to improving the survival rate of patients. At the same time, given the suicide problem of HIV-infected patients, suicide surveillance and depression and anxiety screening of HIV-infected patients should be further strengthened, and targeted psychological intervention policies should be implemented.

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[2004-2023年杭州市艾滋病病毒感染者生存状况及死亡风险影响因素]。
目的分析杭州市确诊艾滋病病毒感染者的生存状况和死亡因素,为制定艾滋病防治策略提供依据。方法:进行回顾性队列研究:进行回顾性队列研究。数据来源于中国疾病预防控制信息系统艾滋病综合防治信息管理系统,采用卡方检验比较杭州市 2004 年至 2023 年艾滋病病毒感染者的流行病学特征。用生命表法计算杭州市艾滋病病毒感染者的生存率,用Kaplan-Meier法描述不同亚组的生存曲线,用Cox比例危险回归模型分析死亡风险的影响因素。统计分析采用 SPSS 26.0 软件。结果在9 457名受试者中,总随访时间为58 004.18人年,494名患者死亡,全因死亡率为0.85/100人年,平均生存时间为18.59(95%CI:18.40-18.78)年。恶性肿瘤和肺孢子菌肺炎分别是第一位(14.37%,71/494)和第二位(10.73%,53/494)死亡原因。确诊后 6 个月内死亡的占 42.51%(210/494),自杀占 4.25%(21/494)。多变量 Cox 回归分析显示,与确诊后 3 个月内接受抗病毒治疗(ART)者相比,3 个月外接受抗病毒治疗者和未接受抗病毒治疗者的死亡风险分别为 1.65(95%CI:1.25-2.19)倍和 20.68(95%CI:15.80-27.06)倍。首次获得高 CD4+T 淋巴细胞(CD4)计数的艾滋病毒感染者的死亡风险较低。基线 CD4 细胞数为 200-349 cells/µl、350-499 cells/µl、≥500 cells/µl 的患者的死亡风险分别是基线 CD4 细胞数的 0.38(95%CI:0.29-0.49)、0.26(95%CI:0.19-0.36)、0.21(95%CI:0.14-0.31)倍:从2004年到2023年,杭州市HIV感染者的总生存率良好。早期发现艾滋病病毒感染者并及时动员其接受抗病毒治疗是提高患者生存率的关键。同时,鉴于艾滋病病毒感染者的自杀问题,应进一步加强对艾滋病病毒感染者的自杀监测和抑郁焦虑筛查,并实施有针对性的心理干预政策。
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来源期刊
中华流行病学杂志
中华流行病学杂志 Medicine-Medicine (all)
CiteScore
5.60
自引率
0.00%
发文量
8981
期刊介绍: Chinese Journal of Epidemiology, established in 1981, is an advanced academic periodical in epidemiology and related disciplines in China, which, according to the principle of integrating theory with practice, mainly reports the major progress in epidemiological research. The columns of the journal include commentary, expert forum, original article, field investigation, disease surveillance, laboratory research, clinical epidemiology, basic theory or method and review, etc.  The journal is included by more than ten major biomedical databases and index systems worldwide, such as been indexed in Scopus, PubMed/MEDLINE, PubMed Central (PMC), Europe PubMed Central, Embase, Chemical Abstract, Chinese Science and Technology Paper and Citation Database (CSTPCD), Chinese core journal essentials overview, Chinese Science Citation Database (CSCD) core database, Chinese Biological Medical Disc (CBMdisc), and Chinese Medical Citation Index (CMCI), etc. It is one of the core academic journals and carefully selected core journals in preventive and basic medicine in China.
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