Literature DB >> 32294041

Shift in HIV/AIDS Epidemic and Factors Associated with False Positives for HIV Testing: A Retrospective Study from 2013 to 2018 in Xi'an, China.

Jing-Yuan Wang1, Kai-Ge Zhang1, Jing-Xiong Ruan1, Wei Chen1, Linchuan Wang1.   

Abstract

BACKGROUND: In China, although quite a few bold programmes have been made for HIV/AIDS, the epidemic has still shown an increasing trend.
OBJECTIVES: The study was aimed to investigate the characteristics of new HIV/AIDS and the major factors of false positives (FP) for HIV testing.
METHODS: A retrospective review was performed in a teaching hospital in Xi'an between 2013 and 2018. The overall characteristics and trends of new HIV/AIDS were described. Moreover, the major factors of FP were determined by the Pareto analysis.
RESULTS: A total of 469 new HIV/AIDS were diagnosed, with an increasing prevalence of the new HIV/AIDS from 0.0626% (41/65503) in 2013 to 0.0827% (115/139046) in 2018. Of them, the majority occurred in the males (88.50%), people aged 21-50 years (76.97%), migrants (60.98%), and sexual contact route (88.70%). There was a rapid increase in the annual number of new HIV/AIDS and increasing trends in groups of young individuals, students, and homosexual mode; however, a downward trend in the percentage of injecting drug use was also observed. Over 50 years old and patients from oncology, obstetrics, hepatobiliary surgery, nephrology, cardiology, and infectious disease constituted the major factors of FP.
CONCLUSION: The HIV/AIDS epidemic in Xi'an is still evolving, therefore, effective strategies, appropriate education and scaling up HIV testing should be developed. In addition, old adults and specific departments were associated with FP. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  HIV/AIDS; Pareto analysis; epidemic; factors; false positives; trends.

Mesh:

Year:  2020        PMID: 32294041      PMCID: PMC7475938          DOI: 10.2174/1570162X18666200415123607

Source DB:  PubMed          Journal:  Curr HIV Res        ISSN: 1570-162X            Impact factor:   1.581


INTRODUCTION

HIV infection is a serious public health issue [1-3]. Since the first AIDS case was identified in 1985 in Beijing, the HIV/AIDS epidemic had reached all 31 provinces/autonomous regions/municipalities in China in 1998 [4-8]. In China, the national prevalence is still low (less than 0.1%) [9-11]; however, the epidemic varies geographically, and the new HIV infections and AIDS cases increase annually [12-14]. By the end of September 2018, there were 849,602 people living with HIV (PLWH) in mainland China [15]. The epidemic is severe in some midwest provinces (Sichuan, Chongqing, Guizhou, Hunan, Henan) and border communities (Xinjiang, Guangxi, Guandong), with annual new HIV/AIDS cases more than 5000 [16-18]. The first HIV infection reported in Shaanxi was in 1994 [19]. From then on, acceleration in the incidence of HIV/AIDS is evident. Comparing with 2004, Shaanxi was among the top three highest relative increase in the incidence of HIV infection (Relative change: 1.40) and had a high relative increase in the incidence of AIDS (Relative change: 1.43) in China in 2014 [20]. The annual new HIV/AIDS cases were more than 1000 since 2015 [21]. Up to the present, the resident population of Xi'an city is more than 10 million and accounts for nearly one-third of the total population of Shaanxi Province. The study was from patients in the First Affiliated Hospital of Xi’an Jiaotong University, which is the largest hospital in Northwest China and has the top two largest numbers of diagnosed HIV/AIDS cases every year in Xi'an. Thus, the study can be useful to better understand the demographic constitution of HIV in Xi'an city and Shaanxi Province, moreover, the factors of false positives (FP) for HIV screening were also analyzed.

MATERIALS AND METHODS

Study Population

This study was conducted between January 1, 2013 and October 31, 2018. All data were captured from the LIS and HIS of the First Affiliated Hospital of Xi’an Jiaotong University, and Xi'an Center for Disease Control and Prevention (CDC), Shaanxi Province, China. During the study period, 622,164 patients underwent HIV screening, and 25 subjects previously confirmed as HIV/AIDS were excluded. Thus, a total of 622,139 cases were included in the study.

HIV Routine Test

A 4th-generation kit, Architect HIV Ag/Ab Combo (Abbott Diagnostics, Abbott Park, IL) and a 3rd-generation EIA kit, XinChuang HIV-1/2Ab (InTec, INC, XiaMen, FuJian, China) were used as routine test for HIV. The Cut-Off Index (COI) or Sample-to-Cutoff (S/CO) ≥1 was defined as reactive, and COI or S/CO<1 was defined as non-.reactive.

Western Blotting

Western blotting HIV1/2 BLOT 2.2 (MP Biomedicals, Singapore) is conducted and interpreted by the Xi'an CDC. Positive (HIV-1)—The presence of at least two bands, including two env bands or one env band and one p24 band (.before 2017); The presence of at least two env bands and one gag or one pol band (since 2017); Positive (HIV-2)—The presence of gp36 band indicates HIV-2 infection. Indeterminate—reactivity to any of the bands but not compatible with the criteria for a positive interpretation; Negative—the absence of any of the specific bands.

Definitions

According to the CDC guideline in China, the initially reactive case should be excluded from HIV infection if WB positive result is not observed at both of the first and 6 months follow-up tests, which should be defined as the false positive (FP) in the study. In addition, the subjects who were lost to follow-up, less than 18 months age or rejected to perform the WB test should be defined as the not-diagnosed (ND) cases.

Statistical Analysis

Statistical analyses were conducted by SPSS13.0 (SPSS Inc., Chicago, Illinois, USA). Descriptive statistics were used for the demographic constitution. Variables for false positives (FP) were evaluated by Pareto analysis, and those which were in the cumulative constituent ratios of 0-80%, 80-90% and 90-100%, should be defined as Main (class A), Secondary (class B), and General factors (class C) for FP, respectively.

RESULTS

Overall Characteristics of HIV Testing

During the study period, a total of 622,139 subjects were included, with a male/female ratio of 1.003 and a median age of 50 years (Rang: 9 days to 96 years). Among them, 469 new HIV/AIDS cases were diagnosed, with an overall new HIV/AIDS prevalence of 0.07% (469/622139). Due to a sharp growth in the testing subjects, the number of newly diagnosed cases and prevalence rate for HIV/AIDS have shown an increasing trend every year. Since 2015, the 4th-generation assay has been the predominant method for HIV screening, which resulted in a drastic increase in the false-positive ratio (FPR). In addition, among the reactive cases for HIV screening, the not-diagnosed ratio (NDR) remained relatively stable (Rang: 9.09% to 15.0%), Table & Fig. ().

Features of False Positives (FP)

Of the 292 false positives from 2013 to 2018, most were male (55.82%) and 51-years old (67.81%), with a median age of 51 years (range: 16-86 years). The Pareto analysis showed that 5.14%-27.74% were from the department of oncology, obstetrics, hepatobiliary surgery, nephrology, cardiology, infectious disease and rheumatology with a cumulative ratio of 83.56%, which can be categorized as class A (major factors) associated with FP, (Table & Fig. ).

The Demographic Constitution of New HIV/AIDS and Shift in the Epidemic

Among the new HIV/AIDS cases, the majority were Hans, males, people aged 21-50 years (76.97%), migrants, married, unemployed/informal employees, and sexual contact route (88.7%), with a male/female ratio of 5.9:1 and a median age of 39 years (range: 2-76 years). However, the new HIV/AIDS cases in the students (13.43%), –20 (6.18%), and 51–years age (16.84%) groups should be concerned. The new cases spread across Shaanxi province, of them, most were from Xi’an, Table . Among the 183 cases in Xi’an, 73.22% were from Changan (n=65), Yanta (n=40), and Beilin (n=29) districts, Fig (). In addition, Xianyang (n=54), Weinan (n=52), and Ankang (n=28) cities consisted of 63.81% of the cases in other areas in Shaanxi province, Fig. (). Gansu (n=21), Henan (n=20), and Shanxi (n=12) were the top three prefectures that had the largest numbers of cases in other provinces.
Fig. (3)

Geographic distribution of the new HIV/AIDS cases in (A) Shaanxi province and (B) Xi’an city.

Over the six years, the epidemic of new HIV/AIDS had shown an increasing trend in the individuals who were -20 years age (from 2.44% in 2013 to 6.09% in 2018), 21-30 years age (from 24.39% in 2013 to 31.3%), students (from 7.32% in 2013 to 15.46% in 2018), and homosexual mode (from 19.51% in 2013 to 26.96% in 2018); however, the percentage of injecting drug use had decreased from 7.32% in 2013 to 4.35% in 2018. In addition, the epidemic in sex, other groups for age, job, and transmission mode had remained relatively stable, Fig. ().

DISCUSSION

The research data was from 622,139 subjects in Xi’an, and the main findings of this study were: (1) The new HIV/AIDS cases and constituent ratios of students and young people increased yearly; however, the overall HIV prevalence (0.07%) in the study still remained low and was also remarkably higher than that in Xi’an (0.01%) reported by CDC [22]; (2) Most of the HIV infections occurred in the Hans, males, young and middle-aged populations, and migrants; meanwhile, the HIV/AIDS epidemic had spread across Shaanxi. The local infections were mainly from Changan, Yanta, and Beilin districts, which may be related to the concentration of both the IDU and universities in these areas. Meanwhile, most the infections of other areas in Shaanxi province were from Xianyang, Weinan, and Ankang cities; (3) Multiple routes of HIV transmission were co-existent, in which the sexual contact was predominant and IDU route had decreased; however, the blood and vertical transmission were rarely observed; (4) The old adults and specific departments, i.e., oncology, obstetrics, hepatobiliary surgery, nephrology, cardiology, and infectious disease, were associated with FP. Xi'an is not only a famous tourist city but also an important central city in Western China. In addition, more than 30 universities with nearly a million students are located here. The large numbers of migrant workers, tourists, students play a“bridge” for HIV/AIDS transmitting [23-30]. With the implementation of testing-based prevention for infectious diseases (HIV, HBV, HCV, and Syphilis) for pregnant women [31, 32], before operation, interventional examination, or treatment, the testing and confirmed cases for HIV increase yearly in China [5, 20, 33]. In addition, substantial intervention initiatives, such as “Action Plan on HIV/AIDS Prevention”, “Four Free One Care” [5, 34-39], and “Prevention of Mother-to-Child Transmission (PMTCT) programme”[40], have been introduced since 2003. which resulted in an obvious decrease in the proportion of HIV/AIDS attributed to the vertical transmission in China [41-45]. A rapid increase in the testing number and low constituent ratio of mother-to-child transmission for HIV/AIDS were also observed in the study. China’s HIV/AIDS epidemic began in the 1990s among injecting heroin users and commercial plasma donors [46-50]. Quite a few control policies, i.e., “law against drug use” [51], “voluntary and compulsory detoxification” [52], “Methadone Maintenance Treatment (MMT) program” [53-57], and “commercial blood/plasma collection stations shut down and blood donors must be tested for HIV since 1995” [58], have been made and performed effectively in China, which led to the ratios of both IDU and blood routes among new infections decrease yearly [10, 59-61]. Simultaneously, there is a remarkable rise in both commercial sexual work at entertainment and extramarital sex via social apps in recent years. Thus, unsafe sexual behaviors have been the major cause of HIV infection in China [62-67]. In the study, the sexual contact was the most prominent route of HIV transmission in Xi’an, accounting for 88.7% of the cases, which was similar to other studies in Xi’an and other areas in China [6, 9, 10, 22]. Recently, it is notable that the HIV/AIDS epidemic in adolescents/students and older adults shows a significant increase in China [6, 10, 22, 68-70]. However, they are not usually considered as the high-risk population and are less likely to be tested for HIV. During the study period, the proportion of students among HIV cases increased yearly. In addition, the constituent ratios of HIV cases that were attributed to the students,–20, and 51–years age groups were 13.43%, 6.18%, and 16.84%, respectively. Therefore, scaling up HIV prevention education and testing should be covered in both the high-risk population and the general population. Another emerging theme in China is that a large number of PLWH are unaware of their infection status [9, 71, 72]. Owing to be in poor economic condition, fear of privacy being leaked and being stigmatized, many high-risk people do not visit the hospital for HIV testing, which results in a high percentage of PLWH that can not be diagnosed. In the study, heterosexuality was the dominant transmission route (63.75%). However, the proportion of HIV cases attributed to females was only 14.50%. Meanwhile, the not-diagnosed ratio of the reactive cases for screening test fluctuated between 9.09% and 14.92%. In China, people are sensitive to the HIV/AIDS topics, thus, more attention should also be paid to false positives (FP) for HIV screening test [73-76]. In the study, 67.81% of FP cases were over 50 years of age. By department distribution, the oncology, obstetrics, hepatobiliary surgery, nephrology, cardiology, infectious disease, and rheumatology were major factors associated with FP, with a cumulative ratio of 83.56%.

CONCLUSION

In Xi'an city, the HIV/AIDS prevalence is still low, and dramatic reductions in the HIV infections via IDU, blood and vertical transmission have also been achieved. However, the annual number of new HIV infections has increased rapidly. The targeted interventions for HIV/AIDS epidemic in Xi'an should be implemented as followings: First, the awareness of transmission routes, the prevention for HIV infection should be strengthened further among the public to increase the using of condoms; Second, the HIV epidemic in migrants, adolescents/students, and older individuals should be more concerned, and scaling up HIV testing should be covered in both the high-risk population and the general population to improve the diagnostic rate of HIV infection and reduce the risk for further transmission.
Table 1

Overall characteristics of HIV testing from 2013 to 2018.

Years Testing Cases Reactive Cases Overall
Male Female Using 3rd-generation Using 4th-generation Total New HIV/AIDS FP ND Total Prevalence (/10000) FPR (%) NDR (%)
20133266632837603205183655034195556.2618.009.09
201436095367556666361877285053159777.2822.0611.69
2015500095044215682847691004517462211577.3745.5913.38
20165858259424122351057711180068964271807.5441.8315.00
20176335862925120251142581262839766281917.6840.4914.66
201870849681971165212739413904611576252168.2739.7911.57

Note: false-positive ratio (FPR), not-diagnosed ratio (NDR).

Table 2

Distributions of the false positives.

Variables N %
Sex--
Male16355.82
Female12944.18
Age, years (Median: 51)--
-303311.30
31-403210.96
41-50299.93
51-19867.81
Department--
Oncology8127.74
Obstetrics3813.01
Hepatobiliary Surgery3210.96
Nephrology299.93
Cardiology258.56
Infectious Disease247.19
Rheumatology155.14
Neurology93.08
Endocrinology82.74
Respiratory72.40
Hematology62.05
Gynaecology51.71
Others134.45
Table 3

The demographic constitution of new HIV/AIDS.

Variables N %
Sex--
Male40185.50
Female6814.50
Age, years (Median: 39)--
-20296.18
21-3015031.98
31-4012326.23
41-508818.76
51-7916.84
Ethnicity--
Han46799.57
Minority20.43
Residence--
Local area18339.02
Other areas in this province21044.78
Other provinces7616.20
Marital status--
Unmarried16735.61
Married27959.49
Widowed/divorced234.90
Job--
Student6313.43
Unemployed/Informal employees20643.92
Formal employees8718.55
Peasants449.38
Retiree316.61
Unknown/others388.10
Transmission modes--
Heterosexual29963.75
Homosexual11724.95
Injecting drug use234.90
Mother to child30.64
Blood10.21
Unknown265.54
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