Skip to main content

Identifying risk factors for late HIV diagnosis and survival analysis of people living with HIV/AIDS in Iran (1987–2016)

Abstract

Background

Late-diagnosis of HIV is a major challenge for the control and prevention of AIDS in the world. The present study aimed to specify factors associated with the late diagnosis of HIV in Iran from 1987 to 2016.

Methods

In this retrospective cohort study, data for 4402 diagnosed HIV/AIDS patients were extracted from 158 behavioral disease counseling centers of 31 Iranian provinces. We defined late diagnosis as having a CD4 count less than 350 within 3 months after diagnosis. Multiple logistic regression analysis was used to determine the factors influencing late diagnosis. Moreover, we used multivariate Cox regression to assess the association of these factors with the patients’ survival.

Results

In this study, the prevalence of late diagnosis among the patients was 58.2%. People aged 50 years and over (adjusted OR = 3.55), transmission through blood transfusion (adjusted OR = 2.89), co-infection with tuberculosis (adjusted OR = 2.06), and male gender (adjusted OR = 1.38) were the strongest predictors for late diagnosis of HIV. On the other hand, baseline CD4 (adjusted HR = 2.21), people aged 50 and over (adjusted HR = 1.81), male gender (adjusted HR = 1.76), being a widow (adjusted HR = 1.68), people with unknown transmission way (adjusted HR = 18.24), people who inject drugs (adjusted HR = 1.87), diagnosis at previous years (adjusted HR = 2.45) and co-infection with tuberculosis (adjusted OR = 1.77) significantly associated with the survival of patients.

Conclusion

The prevalence of late diagnosis is high among Iranian HIV/AIDS. The risk factors of late diagnoses include being males and aged 50 years and over, transmission through blood transfusion, and co-infection with tuberculosis. Therefore, implementation of screening programs for early diagnosis of HIV these high risk groups is recommended to Iranian health providers and policymakers.

Peer Review reports

Introduction

Acquired immunodeficiency syndrome (AIDS) is a potentially life-threatening condition caused by the human immunodeficiency virus (HIV). Globally, about 40 million people are living with this virus, and every year 1.7 million new cases are added to existing cases. Moreover, yearly 700,000 people die from AIDS in the world [1].

Recommended treatment for AIDS is called antiretroviral therapy (ART), which involves taking a combination of HIV medicines [2]. ART aims to reach viral load suppression of HIV in the body, that is, ART reduces the viral load of HIV in the blood to a very low level, and promotes immune system performance, and prevents diseases [3]. Furthermore, ART reduces the probability of HIV transmission to other people when viral load is very high. Despite ART does not cure AIDS, it assists the patients to have a longer and healthier life [4]. Pre-requirement for successful treatment of AIDS is early diagnosis of HIV in the suspected people. Early HIV infection is defined as being diagnosed 6 months after initiation of HIV infection [5]. Despite the importance of early diagnosis of HIV in patients’ treatment, the studies show that late diagnosis has been remained a major problem for the control and prevention of AIDS in the world [6]. Late diagnosis of HIV adversely affects individuals and society by reducing the effectiveness of antiretroviral therapy (ART) and subsequently increasing the risk of morbidity and mortality in the patients. On the other hand, this late diagnosis increases the probability of transmission and spread of the disease in societies, and as a result, control of the disease becomes harder [7, 8].

Studies identified several factors affecting the late diagnosis of HIV. They demonstrated that male gender and older ages significantly increase the probability of late diagnosis [8]. However, the majority of studies concentrated in African or European countries, and there is no much information on the status of diagnosis of HIV in other regions and countries including Iran [9, 10]. Iran, as one of the countries involving in HIV pandemics, is located in Western Asia. Based on the latest statistics in 2018, 61,000 Iranians are living with HIV. Moreover, this report adds that 2600 people died from AIDS-related diseases. Most cases occur in men, ages 15 and 44 years, and drug injection is the most common way for HIV transmission. Accordingly, Iran possesses a concentrated epidemic, which is the largest HIV epidemic among Middle East countries. Moreover, the report shows that 36% of people with HIV aware of their status and only 20% of the patients receive treatment and only 17% of people living with HIV were virally suppressed. Moreover, the statistic states that the majority of the patients (53%) had late HIV diagnosis [11]. However, statistical modeling suggests a number much more than the reported number for Iran, over 75,000 cases and even more [12]. However, due to the religious and cultural limitations in Iran, no comprehensive information is available about AIDS, and especially about the status of late diagnosis of HIV and the related- factors. In this study, we aimed to identify factors that contribute to the late diagnosis of HIV and survival of people with HIV in Iran.

Methods

The required data for this study was obtained from behavioral disease counseling centers (BDCC), which are established all over Iran. These centers responsible for collecting the demographic and clinical information include age, sex, the date of HIV diagnosis, the mode of HIV transmission, HIV status, the clinical stage of HIV/AIDS, ART reception, CD4 cells count, education level, and marital status of the patients [13]. Inclusion criteria include all HIV-positive patients aged ≥16 years old, which have CD4 cell count within 3 months after diagnosis.

In this study, the late diagnosis was defined as a patient whose first CD4 cell count was less than CD4 < 350 cells/ mm3 within 90 days of diagnosis. Moreover, mortality data were extracted from BDCC. A sub-administration in Behavioral disease counseling centers (BDCC) is responsible for registering of death events for each patient. Therefore, any death event is recorded by BDCC. To assure completeness of death registration, a double check is made with the Iranian Death Registration System (DRS), which is established to register death events in the general population and has appropriate coverage [13], and then the unmatched cases of death were added to death cases of BDCC.

Statistical analysis

First, we conducted a bivariate analysis to assess the crude association of risk factors with HIV late diagnosis and survival. In this step, any variable whose univariate test has a p-value < 0.25 was a candidate for the multivariate analysis. Hosmer and Lemeshow test was applied to check the goodness of fit of the final logistic model, which the model was found fit (p–value = 0.57). Also, Odds Ratios (OR) with 95% confidence intervals (95%CI) were used to summarize and describe the strength of association. Moreover, a Cox regression model was used to evaluate the factors affecting the survival of the patients. In the cox model, survival time (in months) was considered from the date of HIV diagnosis to the end of the follow-up period or the occurrence of death. Furthermore, for the patients who had not experienced death or lost to follow-up, the time from the date of HIV diagnosis to the end of the follow-up time was considered as the censored survival time. Moreover, Schoenfeld’s residual test was used to investigate the proportional hazards (PH) assumption of the cox model.

We used the Amelia package in R4.0.3 to impute missing values. The percentage of missing values was 5% overall. Multiple imputations were applied to handle the missing data. In sensitivity analysis, the results of estimating factors associated with late HIV diagnosis and survival analysis were similar in both MI and complete case analyses. Data analyses were performed using Statistical Package for the Social Sciences (SPSS) version 22.0. In all analyses, a p-value less than 0.05 was considered statistically significant.

Results

Descriptive and bivariate analysis

Data for 4402 patients between 1987 and 2016, whose first CD4 data were measured within 3 months after diagnosis, were retrieved. The mean age of participants was 34.3 ± 10.4 years, and 3030 (68.8%) people were men. Based on the initial CD4 counts, 2564 (58.2%) patients had late-diagnosed and 1838 (41.8%) had the early diagnosis. The mean age of those with a late diagnosis of 37 ± 9.9 years was significantly higher than those timely diagnosed with 31.9 ± 10.4 years (p < 0.001) (Table 1).

Table 1 Population characteristics of the 4402 of newly diagnosed people living with HIV/AIDS in Iran (1987–2016) stratified by late and early diagnosis

Based on the univariate analysis, late diagnosis was significantly higher in men, older age, people who inject the drug, people who have unprotected sexual contact, divorced persons, and the patients who have tuberculosis co-infection (p < 0.05). However, education level and job status were not significantly associated with late diagnosis (p > 0.05) (Table 1).

Multivariate analysis

Late HIV diagnosis

The result of the logistic regression model showed that the odds of late-diagnosis for men was 1.4 (95% CI: 1.15–1.67, p = 0.001) times that of women. In addition, the odds of late diagnosis in older people significantly were higher than younger people (Table 2).

Table 2 Logistic regression analyses of factors associated with late HIV diagnosis in newly diagnosed people living with HIV/AIDS in Iran (1987–2016)

In the transmission mode, the strongest association with late diagnosis belongs to blood transfusion (OR = 2.89, 95%CI; 1.81–4.61), and the weakest association belongs to unprotected sex (OR = 1.88, 95% CI; 1.21–2.91) (Table 2).

TB co-infection was significantly associated with late diagnosis. People with TB significantly had higher odds for late HIV diagnosis than people without TB (OR = 2.06, 95%CI; 1.52–2.78).

Marital status and education level had not a significant association with late diagnosis (p > 0.05) (Table 2).

Survival analysis

There was a statistically significant difference in the median survival time (day) between patients with early diagnosis (5009.53 ± 63.84) and late diagnosis (4404.90 ± 68.37). The Kaplan Meier plot for these two groups is shown in Fig. 1. Out of 674 patients who died, 492 (73%) had the late diagnosis, while 182 (27%) had the early diagnosis. Despite in total, 66.9% received ART, in subgroups, 31% of patients who died and 33.4% patients who survive received ART (Table 3).

Fig. 1
figure1

Kaplan-Meier curves of newly diagnosed people living with HIV/AIDS in Iran (1987–2016) defined by CD4 status within 91 days of diagnosis

Table 3 Cox regression analyses of factors associated with survival in newly diagnosed people living with HIV/AIDS in Iran (1987–2016)

In multivariate analysis, late diagnosis has a significant impact on the survival of patients. The odds of dying in people with late diagnosis were approximately two times higher than those with early diagnosis (Table 3). Furthermore, people aged 50 years and over are significantly less likely to survive than those aged under 30 years with HR = 1.81 (95% CI: 1.33–2.88). The odds of dying in men were 1.76 (95% CI: 1.28–2.42) times higher than women. The widows had higher odds for dying than the singles (1.68; 95% CI: 1.14–2.47). In addition, people with TB are at a higher risk of death compared to those without TB infection, with an HR = 1.77 (95% CI: 1.42–2.21). People diagnosed between 2006 and 2011 were significantly more at risk of death than those diagnosed after 2011 with a 2.45 (95% CI: 1.97–3.04) times higher odds of dying compared to after 2011. However, job status has no significant effect on the survival of patients (p > 0.05) (Table 3).

Discussion

This is the first study investigating the status of late HIV diagnosis and its factors in Iran. We found that late diagnosis was prevalent among Iranian patients (53%). Existing evidence show that prevalence of late HIV diagnosis is high in other studies. Accordingly, the reported prevalence ranged from 25% in Columbia to 70.1% in China [14, 15]. It is a major concern for the country because people with late HIV diagnosis receive ART late and, as a result, loses opportunities for counseling, education, and substance abuse treatment, resulting in the spread of HIV in the community. Evidence confirms that ART has the maximum effect on viral load and mortality rate from AIDS in the early stages of the disease. Therefore, ART is recommended to be initiated for all HIV-positive people immediately after diagnosis [16].

Moreover, we found that people who inject drugs (PWID) had the highest risk of late diagnosis. Like our study, a study conducted in China show that odds of late diagnosis in PWID was two times higher than other people [17]. Due to the severe social discrimination and stigma against both drug abuse and HIV in Iran, PWID avoid seeking medical services, including tests for HIV diagnosis. The literature has well established that ART is less prevalent in PWID than people who do not inject drugs. Additionally, in counties with free health services for HIV patients, medical care utilization is very low due to the patients’ social situations and family problems [18, 19].

In this study, the probability of late diagnosis was significantly greater in Iranian men than women. Other studies confirmed that male gender is a major risk factor of risky behaviors such as HIV late diagnosis [20]. For example, Rice et al., Sun et al. and Agaba et al. suggested that male gender is significantly associated with a higher risk of late HIV diagnosis [21,22,23]. This result could be attributed to two reasons. First, most PWID are men on the one hand, and late diagnosis is highly prevalent among PWID on the other hand. Therefore, men PWID are dominant in the AIDS population and have a higher frequency of late diagnosis than women [24]. Second, studies show that men generally are less likely to seek out health care than women. These studies have highlighted the fear of developing a disease as a significant barrier to seek medical care in men [25].

We found that the risk of late diagnosis was higher in older patients than in younger ones. A review of the literature also confirms that older age is the predominant predictor of late presentation of HIV [16, 22, 23, 26]. Studies show that older patients have a low-risk perception relative to HIV, and therefore are less likely to be tested for HIV [8]. Late diagnosis is a significant factor of mortality in older people, and in fact, these groups obtain the most significant benefit from ART compared to other age groups [27]. Low education and knowledge and low risk perception about the disease have been mentioned as the main reasons for late diagnosis in older people. Low education is also associated with low socioeconomic status, affecting health and medical services [28, 29].

Another identified risk factor of late HIV diagnosis was co-infection with TB. Gesesew et al. showed that HIV people with TB co-infection were about 2 times at risk of late HIV diagnosis [9].

This study showed that the prevalence of late HIV diagnosis was the lowest in mother-to-child transmission compared to the other transmission modes. Currently, a program called PMTCT (prevention of mother-to-child transmission) is being implemented [30]. All mothers are tested for HIV during pregnancy and are provided with HIV counseling. Preventive treatment should be given to the baby if the mother’s test is positive. All infants born to HIV-positive mothers are also screened for HIV prophylaxis after birth and HIV. If a baby is infected with HIV, they will receive the same care and treatment services as other HIV-positive patients for the rest of their lives. This program aims to reduce the rate of mother-to-child transmission, one of the goals of the HIV prevention and control program recommended to countries by WHO and UNAIDS [31]. This study confirms the effectiveness of PMTCT on early HIV diagnosis. Therefore, it is recommended to improve the program and expand it to all regions of Iran.

This study’s results provide implications for Iranian policymakers and health providers. First, the percentage of late diagnosis is high and require more attention. Second, policymakers should design programs to perform screening among high-risk subgroups including PWID and FSWs. These groups should be encouraged to seek earlier diagnosis and treatment. Iranian policymakers should conduct scaling up HIV testing, making a considerable percentage of individuals infected with HIV receive HIV test [32]. Moreover, we recommend performing the mass screening of HIV and expanding counseling centers for high-risk groups, including FSWs and PWID. Furthermore, the increased coverage of ART is recommended to improve patient survival.

We used registered data for this study as one of the study’s limitations. Moreover, we did not measure some critical variables in late diagnosis and survival. Therefore, we could not assess their effects on late diagnosis or survival and could not control their confounding effects. Furthermore, the precision and validity of our retrospective study’s data are questionable because the data were not collected for research objectives. Accordingly, the retrospective studies may potentially produce selection bias or information bias, and therefore, may distract the final results. Additionally, registered data lack data verification and do not have complete data/follow-up.

Conclusion

The prevalence of late HIV/AIDS diagnosis is very high among Iranians. For breaking the disease transmission chain, early HIV diagnosis through facilitating access to HIV testing for PWID by incorporating community-based outreach, drug abuse treatment, and syringe exchange programs is recommended. Moreover, to improve survival of the patients, and decelerate the progression of the disease, supplying ART for all patients with AIDS is crucial.

Availability of data and materials

The dataset analyzed during the current study is not publicly available due to the sensitivity of the subgroup (HIV/AIDS patients) studied, but is available from the corresponding author on reasonable request.

Abbreviations

CDC:

Centers for Disease Control and Prevention

ART:

Antiretroviral Therapy

HAART:

Highly Active Antiviral Therapy

BDCC:

Behavioral disease counseling centers

DRS:

Death Registration System

PWID:

People who inject drugs

References

  1. 1.

    World Health Orgnization. HIV/AIDS 2019 [cited 2020]. Available from: https://www.who.int/hiv/data/en/.

  2. 2.

    Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Antiretroviral therapy for the prevention of HIV-1 transmission. N Engl J Med. 2016;375(9):830–9. https://doi.org/10.1056/NEJMoa1600693.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Jiamsakul A, Kariminia A, Althoff KN, Cesar C, Cortes CP, Davies MA, et al. HIV viral load suppression in adults and children receiving antiretroviral therapy-results from the IeDEA collaboration. J Acquir Immune Defic Syndr. 2017;76(3):319–29. https://doi.org/10.1097/QAI.0000000000001499.

    Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Prevention. CfDCa. HIV Treatment 2019 [cited 2020]. Available from: https://www.cdc.gov/hiv/basics/livingwithhiv/treatment.html.

  5. 5.

    Smith MK, Rutstein SE, Powers KA, et al. The detection and management of early HIV infection: a clinical and public health emergency. J Acquir Immune Defic Syndr. 2013;63(Suppl 2):S187–99.

    Article  Google Scholar 

  6. 6.

    Aniley A, Tadesse Awoke A, Ejigu Gebeye Z, et al. Factors Associated with late HIV diagnosis among peoples living with HIV, Northwest Ethiopia: hospital based unmatched case-control study. J HIV Retrovirus. 2016;2(1):1076.

    Google Scholar 

  7. 7.

    Mayer KH, Venkatesh KK. Antiretroviral therapy as HIV prevention: status and prospects. Am J Public Health. 2010;100(10):1867–76. https://doi.org/10.2105/AJPH.2009.184796.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Mugavero MJ, Castellano C, Edelman D, Hicks C. Late diagnosis of HIV infection: the role of age and sex. Am J Med. 2007;120(4):370–3. https://doi.org/10.1016/j.amjmed.2006.05.050.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Gesesew HA, Ward P, Woldemichael K, Mwanri L. Late presentation for HIV care in Southwest Ethiopia in 2003-2015: prevalence, trend, outcomes and risk factors. BMC Infect Dis. 2018;18(1):59. https://doi.org/10.1186/s12879-018-2971-6.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Belay H, Alemseged F, Angesom T, et al. Effect of late HIV diagnosis on HIV-related mortality among adults in general hospitals of Central Zone Tigray, northern Ethiopia: a retrospective cohort study. Hiv/aids (Auckland, NZ). 2017;9:187.

    Google Scholar 

  11. 11.

    UNAIDS. Iran AIDS Report 2018 2019 [cited 2020]. Available from: https://www.unaids.org/en/regionscountries/countries/islamicrepublicofiran.

    Google Scholar 

  12. 12.

    Sharifi H, Mirzazadeh A, Shokoohi M, Karamouzian M, Khajehkazemi R, Navadeh S, et al. Estimation of HIV incidence and its trend in three key populations in Iran. PLoS One. 2018;13(11):e0207681. https://doi.org/10.1371/journal.pone.0207681.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Mirzaei M, Farhadian M, Poorolajal J, Kazerooni P, Tayeri K, Mohammadi Y. Survival rate and the determinants of progression from HIV to AIDS and from AIDS to the death in Iran: 1987 to 2016. Asian Pac J Trop Med. 2019;12(2):72–8.

    Article  Google Scholar 

  14. 14.

    Doshi RK, Li J, Dorsey K, Allston A, Kharfen M. Earlier diagnoses and faster treatment of HIV in the District of Columbia: HIV surveillance analysis, 2006–2016. AIDS Care. 2019;31(12):1476–83. https://doi.org/10.1080/09540121.2019.1595516.

    Article  PubMed  Google Scholar 

  15. 15.

    Hu X, Liang B, Ch Z, Jiang J, et al. HIV late presentation and advanced HIV disease among patients with newly diagnosed HIV/AIDS in Southwestern China: a large-scale cross-sectional study. AIDS Res Ther. 2019;16:6. https://doi.org/10.1186/s12981-019-0221-7.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    World Health Orgnization. HIV/AIDS: Treatment and care 2019 [cited 2020]. Available from: https://www.who.int/hiv/topics/treatment/en/.

    Google Scholar 

  17. 17.

    Karch DL, Gray KM, Shi J, Hall HI. HIV infection care and viral suppression among people who inject drugs, 28 U.S. jurisdictions, 2012-2013. Open AIDS J. 2016;10(1):127–35. https://doi.org/10.2174/1874613601610010127.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Avert. People Who Inject Drugs, Hiv And Aids 2019. Available from: https://www.avert.org/professionals/hiv-social-issues/key-affected-populations/people-inject-drugs.

  19. 19.

    Shokoohi M, Karamouzian M, Osooli M, Sharifi H, Fahimfar N, Haghdoost AA, et al. Low HIV testing rate and its correlates among men who inject drugs in Iran. Int J Drug Policy. 2016;32:64–9. https://doi.org/10.1016/j.drugpo.2016.03.009.

    Article  PubMed  Google Scholar 

  20. 20.

    Poorolajal J, Mohammadi Y, Soltanian AR, Ahmadpoor J. The top six risky behaviors among Iranian university students: a national survey. J Public Health (United Kingdom). 2019;41(4):788–97. https://doi.org/10.1093/pubmed/fdy204.

    Article  Google Scholar 

  21. 21.

    Rice B, Elford J, Yin Z, Croxford S, Brown A, Delpech V. Trends in HIV diagnoses, HIV care, and uptake of antiretroviral therapy among heterosexual adults in England, Wales, and Northern Ireland. Sex Transm Dis. 2014;41(4):257–65. https://doi.org/10.1097/OLQ.0000000000000111.

    Article  PubMed  Google Scholar 

  22. 22.

    Abebe N, Alemu K, Asfaw T, Abajobir AA. Survival status of hiv positive adults on antiretroviral treatment in Debre Markos referral hospital, Northwest Ethiopia: retrospective cohort study. Pan Afr Med J. 2014;17:88. https://doi.org/10.11604/pamj.2014.17.88.3262.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Sun J, Liu L, She J, et al. Trends in baseline CD4 cell counts and risk factors for late antiretroviral therapy initiation among HIV-positive patients in Shanghai, a retrospective cross-sectional study. BMC Infect Dis. 2017;17(1):285. https://doi.org/10.1186/s12879-017-2398-5.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Oberoi DV, Jiwa M, McManus A, Hodder R. Barriers to help-seeking in men diagnosed with benign colorectal diseases. Am J Health Behav. 2015;39(1):22–33. https://doi.org/10.5993/AJHB.39.1.3.

    Article  PubMed  Google Scholar 

  25. 25.

    Garriga C, García de Olalla P, Miró JM, et al. Mortality, Causes of Death and Associated Factors Relate to a Large HIV Population-Based Cohort. PLoS One. 2015;10(12):e0145701.

    Article  Google Scholar 

  26. 26.

    Bath RE, Emmett L, Verlander NQ, Reacher M. Risk factors for late HIV diagnosis in the east of England: evidence from national surveillance data and policy implications. Int J STD AIDS. 2019;30(1):37–44. https://doi.org/10.1177/0956462418793327.

    Article  PubMed  Google Scholar 

  27. 27.

    Ellman TM, Sexton ME, Warshafsky D, Sobieszczyk ME, Morrison EAB. A forgotten population: older adults with newly diagnosed HIV. AIDS Patient Care STDs. 2014;28(10):530–6. https://doi.org/10.1089/apc.2014.0152.

    Article  PubMed  Google Scholar 

  28. 28.

    Lekalakala-Mokgele E. Understanding of the risk of HIV infection among the elderly in Ga-Rankuwa. South Africa SAHARA J. 2014;11(1):67–75.

    PubMed  Google Scholar 

  29. 29.

    Alencar RA, Ciosak SI. Aids in the elderly: reasons that lead to late diagnosis. Revista brasileira de enfermagem. 2016;1:1076–81.

    Google Scholar 

  30. 30.

    Majid T, Farhad Y, Sorour A, Soheila A, Farnaz F, Hojjat Z, et al. Preventing mother-to-child transmission of HIV/AIDS: do Iranian pregnant mothers know about it? J Reprod Infertil. 2010;11(1):53–7.

    PubMed  Google Scholar 

  31. 31.

    Linguissi LSG, Sagna T, Soubeiga ST, et al. Prevention of mother-to-child transmission (PMTCT) of HIV: a review of the achievements and challenges in Burkina-Faso. HIV/AIDS (Auckland, NZ). 2019;11:165.

    Google Scholar 

  32. 32.

    Tang H, Mao Y, Tang W, et al. “Late for testing, early for antiretroviral therapy, less likely to die”: results from a large HIV cohort study in China, 2006–2014. BMC Infect Dis. 2018;18(1):272.

    Article  Google Scholar 

Download references

Acknowledgments

The authors are thankful to Iranian Centers for Disease Control and Prevention, for making available the data for this project.

Funding

This study was supported by the Vice-Chancellor of Research and Technology of Hamadan University of Medical Sciences (No. 9806264725).

Author information

Affiliations

Authors

Contributions

Y.M supervised the design and execution of the study, interpretation of data, drafted the manuscript and substantively revised it, have agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work. M. M contributed to the preparation of the proposal, collected the data, read and approved the final submitted version, have agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work. N. Sh contributed to the preparation of the proposal, collected the data, read and approved the final submitted version, have agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work. M. F contributed to the preparation of the proposal, set and analysis the results of the study and their interpretations, prepare a final report, writing the manuscript and substantively revised it, have agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work.

Corresponding author

Correspondence to Maryam Farhadian.

Ethics declarations

Ethics approval and consent to participate

Anonymous data, with no identifiable information on participants were obtained from the data administrator. This retrospective study did not involve any contact with patients and so there was no need to ask for patients’ consent to participate. Permission to use data on HIV/AIDS patients in this facility was obtained from the Ethics Committee of Hamadan University of Medical Sciences with IR.UMSHA.REC.1398.406.

Consent for publication

Not applicable.

Competing interests

There are no conflicts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Mohammadi, Y., Mirzaei, M., Shirmohammadi-Khorram, N. et al. Identifying risk factors for late HIV diagnosis and survival analysis of people living with HIV/AIDS in Iran (1987–2016). BMC Infect Dis 21, 390 (2021). https://doi.org/10.1186/s12879-021-06100-z

Download citation

Keywords

  • Delayed diagnosis
  • HIV infections / diagnosis
  • HIV infections / mortality
  • Risk factors