Skip to main content
Journal of Korean Medical Science logoLink to Journal of Korean Medical Science
. 2025 Feb 24;40(22):e100. doi: 10.3346/jkms.2025.40.e100

Risk Factors Associated With Incident Dementia in People Living With HIV

Eunyoung Lee 1,2, Young-gun Lee 3,, Jihwan Bang 1,2,
PMCID: PMC12148554  PMID: 40491082

Abstract

Background

Cognitive decline often follows human immunodeficiency virus (HIV) infection. The objective of this study was to explore the factors present at HIV diagnosis associated with the risk of incident dementia.

Methods

A longitudinal observational study was conducted using a nationwide claim database (2008–2021). A cohort was designed using new diagnosis of HIV infection with antiretroviral therapy. Included in the analysis were individuals aged over 40, with > 3-year follow-up and without a diagnosis of dementia within 2 months post-HIV diagnosis. Dementia was defined as diagnosis and prescription of anti-dementia medication. Cox proportional hazards regression models assessed the association between baseline characteristics and the risk of incident dementia.

Results

Among the 13,289 HIV-infected cohort, 3,929 met the inclusion criteria. The median age was 45 (interquartile range [IQR], 15), and 90.9% were male. During the median follow-up period of 7.6 (IQR, 5.0) years, dementia developed in 114 patients, with cumulative incidence reaching 4% at the 10-year follow-up. The development of dementia was associated with age at diagnosis ≥ 50 (hazard ratio [HR], 2.31; 95% confidence interval [CI], 1.51–3.53), low socioeconomic status (HR, 3.50; 95% CI, 2.22–5.52), and acquired immune deficiency syndrome (AIDS) status at diagnosis (HR, 2.05; 95% CI, 1.38–3.03).

Conclusion

This study underscores the importance of age at HIV diagnosis, socioeconomic status, and AIDS status as determinants of the risk of incident dementia among people living with HIV.

Keywords: Human Immunodeficiency Virus, Acquired Immune Deficiency Syndrome, Dementia, Vascular Dementia

Graphical Abstract

graphic file with name jkms-40-e100-abf001.jpg

INTRODUCTION

Cognitive impairment is a prevalent comorbidity among individuals living with human immunodeficiency virus (HIV).1 A subset of cognitive impairments, designated as HIV-associated neurocognitive disorders (HAND), encompasses asymptomatic neurocognitive impairment, mild neurocognitive disorder, or HIV-associated dementia (HAD), categorized by the severity of neuropsychological test performance and activities of daily living.2,3 HAD is predominantly observed in advanced HIV infection,4 and its prevalence tends to decrease with the widespread use of combined antiretroviral therapy (ART).5,6

However, compared to individuals without HIV infection, people living with HIV still have a higher risk of developing dementia.7,8 Furthermore, as HIV infection has shifted from a life-limiting disease to a manageable chronic condition,9 and the population of older adults living with HIV is expected to continue rising annually by 2%,10,11 the risk of multiple comorbid conditions, including cognitive decline, is increasing.12,13

Possible links between HIV and dementia have been observed. Autopsy studies showed the prevalence of Alzheimer’s disease (AD) pathology in the brains of patients with HIV infection,14,15 and in-vivo imaging studies showed evidence of β-amyloid (Aβ) deposition in cases of HIV population.16,17,18 Several underlying mechanisms linking AD and HIV have been proposed: increased Aβ oligomers and neuritic plaque formation by HIV,19 and accelerated aging process by HIV infection.20 Vascular dementia (VaD) has also been linked with HIV infection. The increased risk of cardiovascular and cerebrovascular disease associated with HIV can contribute to the development or exacerbation of VaD.21,22,23,24 Furthermore, while ART prolongs patient lifespan and yields positive outcomes, concerns about potential neurotoxicity due to long-term exposure to ART persist.25

Understanding the clinical factors associated with incident dementia among HIV-infected population could help manage and prevent those in high-risk groups. Although risk factor for HAND have been investigated, including uncontrolled HIV infection and aging,10 those associated with incident dementia remained elusive. Previous studies suggested those at risk of developing dementia among HIV populations, such as lower CD4+ T lymphocyte count26 and cerebrospinal fluid or imaging biomarkers suggestive of AD.16,27 However, a longitudinal cohort study needs to be conducted to confirm the risk factors. Furthermore, the challenge lies in distinguishing between HAD and other dementia in this population.27,28

In this study, we used a nationwide longitudinal cohort of people living with HIV based on claim database to elucidate the association between dementia and clinical characteristics, including age, sex, socioeconomic status, and prolonged exposure to HIV infection, by using acquired immune deficiency syndrome (AIDS) status as a surrogate marker. By using both diagnosis and prescription for anti-dementia medication, we focused on the risk of developing dementia that requires symptomatic treatment.

METHODS

Study design and data source

Utilizing nationwide claims data from Korea, we conducted a longitudinal cohort study to assess the risk of dementia in individuals newly diagnosed with HIV infection, identified through diagnosis codes and prescription records.29,30 In Korea, approximately 97% of the population is registered under the obligatory National Health Insurance Service (NHIS), while the remaining 3% is covered by the National Medical Aid (NMA). NMA is divided into Type I and Type II categories based on economic need and ability to work. Type I provides full coverage for those who are socially deprived and unable to work, while Type II offers partial support for financially disadvantaged individuals who are capable of working.31 All medical utilization within NHIS and NMA is closely monitored for reimbursement, and health facilities are responsible for submitting claims for insurance reimbursement. The medical data collected by NHIS and NMA are accessible through the National Health Information Database (NHID).32 As healthcare related to HIV infection is covered by this insurance system, all pertinent healthcare information can be identified through claims data.30

Study population

The study cohort consisted of 13,289 participants enrolled between 2008 and 2021 who met the following conditions30: 1) received HIV-related diagnosis using the Korean Standard Classification of Disease Version 7, a modified version of the International Statistical Classification of Disease and Related Health Problems, 10th Revision, Clinical Modification (ICD-10 CM); 2) underwent essential laboratory tests for HIV infection, such as T cell subset analysis, HIV RNA quantification, and HIV drug resistance mutation testing in accordance with HIV/AIDS guidelines; and 3) were prescribed ART. Participants for this study needed to be 1) aged 40 or older at diagnosis; 2) followed up for over 3 years; and 3) not diagnosed with dementia at the time of HIV diagnosis or within two months following the diagnosis. The primary objective of this study is to investigate dementia epidemiology in the HIV-infected population rather than HAD epidemiology. As HAD is predominantly observed in advanced HIV-infected patients and typically stabilizes upon commencing ART, nearly all HAD cases manifest within a few months of HIV diagnosis. Thus, we excluded individuals whose dementia was confirmed within two months after HIV diagnosis to rule out HAD cases.

Ascertainment of neurodegenerative dementia

Neurodegenerative dementia was defined using the ICD-10 code (Supplementary Table 1). In brief, our scope encompassed AD, VaD, alcohol-related dementia, frontotemporal dementia, Lewy body dementia, and Creutzfeldt-Jakob disease. To validate the diagnosis, we further used prescription claim codes for drugs used for dementia, including anticholinesterase inhibitors (AChEi; donepezil, galantamine, and rivastigmine) and N-methyl-D-aspartate (NMDA) receptor antagonist (memantine). The NHIS mandates cognitive and clinical assessments for the prescription of AChEi and memantine: a Mini-Mental State Examination (MMSE) score ≤ 26 and one of Clinical Dementia Rating (CDR) ≥ 1 or Global Deterioration Scale (GDS) ≥ 3 are required for AChEi prescription, whereas an MMSE score ≤ 20 and one of CDR ≥ 2 or GDS ≥ 4 are necessary for memantine prescription. By requiring both a diagnosis and anti-dementia drugs, we focused on dementia manifesting in symptomatic stages treated with medication. For the diagnosis of VaD, a diagnosis of stroke is further required.

Definition of covariates

Age at diagnosis was categorized into 5-year gaps starting from zero. The baseline status of AIDS was defined as follows: with an AIDS-defining illness (Supplementary Table 1),33 or with a prophylactic dosage of trimethoprim/sulfamethoxazole or dapsone to prevent opportunistic infections such as pneumocystis pneumonia, indicating CD4+ T cell counts < 200/mm3.34 Health insurance type served as a proxy for socioeconomic status, as coverage by the NMA is determined by low income status. Comorbidities such as hypertension, dyslipidemia, diabetes mellitus, myocardial infarction, stroke, and syphilis were identified using ICD-10 codes (Supplementary Table 1).

Statistical analysis

Baseline characteristics were compared using Kruskal-Wallis tests, or chi-square tests as appropriate. Cumulative incidence of dementia was estimated and plotted using Kaplan-Meier method. Univariable and multivariable Cox proportional regression analysis were used to determine hazard ratios (HRs) and 95% confidence intervals (CIs) of age at diagnosis, sex, socioeconomic status, and AIDS at diagnosis on the incident dementia after adjusting for comorbidities including hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, stroke, and syphilis. To evaluate whether the effects of predictors on the risk of dementia differ by the type of dementia, we conducted sensitivity analysis after classifying dementia by VaD or non-VaD. As a significant interaction effect between age and AIDS at diagnosis existed, subgroup analysis stratified by AIDS at baseline was conducted. HRs were calculated by sex, age at diagnosis (< 50 and ≥ 50), and socioeconomic status after adjustment of comorbidities (hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, stroke, and syphilis). The interaction effect between age and AIDS at diagnosis was plotted using a restricted cubic spline curve analysis after adjusting for sex, insurance type, and comorbidities. All analyses were conducted in R version 3.5.1 (R Foundation for Statistical Computing, Vienna, Austria).

Ethics statement

Written informed consent was waived due to the use of an existing secondary database, and the Institutional Review Board (IRB) of the Seoul Metropolitan Government-Seoul National University Boramae Medical Center approved this study (IRB No. 07-2017-8/052).

RESULTS

In total, 3,929 people living with HIV were included in the longitudinal analysis (Fig. 1). The median age (interquartile range, IQR) at diagnosis was 45 (15) years, with 3,573 individuals (90.9%) being male (Table 1). At enrollment, 47.3% of the patients (n = 1,860) were in an AIDS status. Insurance type of NMA, surrogate marker of low socioeconomic status, accounted for 6.6% of the patients (n = 261). During a median follow-up of 7.6 (5.0) years, a total of 114 individuals (2.9%) were diagnosed with dementia and prescribed anti-dementia medication. The cumulative incidence of dementia among people living with HIV showed continuous increase of all-cause dementia, reaching 4% at the 10-year follow-up, and incidence of VaD and non-VaD was similar (Fig. 2).

Fig. 1. Flowchart of the study population selected for analysis.

Fig. 1

HIV = human immunodeficiency virus.

Table 1. Baseline characteristics of the study population.

Characteristics All participants (N = 3,929)
Age at diagnosis, yr Median (IQR) 45 (15)
Follow-up, yr Median (IQR) 7.6 (5.0)
Male No. (%) 3,573 (90.9)
Low socioeconomic statusa No. (%) 261 (6.6)
AIDS at baseline No. (%) 1,860 (47.3)
Hypertension No. (%) 1,060 (27.0)
Diabetes No. (%) 1,245 (31.7)
Dyslipidemia No. (%) 2,167 (55.2)
Myocardial infarction No. (%) 61 (1.6)
Stroke No. (%) 224 (5.7)
Syphilis No. (%) 971 (24.7)

Results from the Kruskal-Wallis test or chi-square test are presented, as appropriate.

IQR = interquartile range, AIDS = acquired immune deficiency syndrome.

aInsurance type was used for surrogate marker of socioeconomic status.

Fig. 2. Cumulative incidence of dementia among people living with HIV. Cumulative incidence of dementia was estimated using the Kaplan-Meier method. The development of dementia was identified when the diagnosis of dementia occurred more than 2 months after the diagnosis of HIV infection, and anti-dementia medications were prescribed.

Fig. 2

HIV = human immunodeficiency virus.

Cox regression analysis with restricted cubic splines showed that age at diagnosis was associated with an increased risk of all-cause dementia after 50 years old (Supplementary Fig. 1). In univariable Cox regression analysis, the risk of all-cause dementia was associated with age ≥ 50 at diagnosis (HR, 2.41; 95% CI, 1.59–3.64), female sex (HR, 1.75; 95% CI, 1.04–2.95), NMA insurance type (HR, 3.53; 95% CI, 2.24–5.55), and AIDS at diagnosis (HR, 2.20; 95% CI, 1.49–3.26) after adjusting for comorbidities (Table 2). In multivariable Cox regression analysis, age ≥ 50 at diagnosis, low socioeconomic status, and AIDS at diagnosis were independently associated with an increased risk of dementia.

Table 2. HRs for dementia by different characteristics.

Characteristics Univariable analysis Multivariable analysis
HR (95% CI) P HR (95% CI) P
Age at diagnosis ≥ 50 yr 2.24 (1.48–3.41) < 0.001 2.31 (1.51–3.53) < 0.001
Female 1.66 (0.99–2.80) 0.056 1.45 (0.85–2.46) 0.170
Low socioeconomic statusa 3.43 (2.18–5.41) < 0.001 3.50 (2.22–5.52) < 0.001
AIDS at diagnosis 2.11 (1.43–3.13) < 0.001 2.05 (1.38–3.03) < 0.001

All Cox proportional hazards regression models were adjusted for baseline comorbidities (hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, stroke, and syphilis).

HR = hazard ratio, CI = confidence interval, AIDS = acquired immune deficiency syndrome.

aInsurance type was used for surrogate marker of socioeconomic status.

A significant interaction effect between age ≥ 50 and AIDS at diagnosis on the risk of all-cause dementia was observed after adjusting for comorbidities (Supplementary Table 2). When the participants were subdivided by baseline characteristics, the association between AIDS at diagnosis and dementia was considerably stronger among individuals with age < 50 at diagnosis compared to those with age ≥ 50 (< 50 years: HR, 5.33; 95% CI, 2.21–12.88 vs. ≥ 50 years: HR, 1.60; 95% CI, 1.02–2.51; P for interaction = 0.02) (Table 3). The association was not modified by sex (P for interaction = 0.38) and insurance type (P for interaction = 0.30). Similar relationships were observed when restricted cubic splines were used to treat age as continuous variables for those with and without AIDS (Fig. 3). When the participants were further divided by AIDS status at diagnosis, increasing age was associated with the risk of dementia after age greater than approximately 50 and 60 years old in those with AIDS and without AIDS, respectively (Supplementary Fig. 1).

Table 3. Adjusted HRs for dementia stratified by baseline status of AIDS.

Characteristics No. of dementia/Total HR (95% CI) P for interaction
AIDS (−) AIDS (+)
Sex 0.37
Male 33/1,867 64/1,706 1.94 (1.27–2.97)
Female 5/202 12/154 3.95 (1.37–11.44)
Age at diagnosis, yr 0.01
< 50 6/1,098 29/970 5.03 (2.08–12.19)
≥ 50 32/971 47/890 1.51 (0.96–2.39)
Socioeconomic statusa 0.26
High 28/1,936 62/1,732 2.37 (1.51–3.72)
Low 10/133 14/128 1.46 (0.64–3.34)

Cox proportional hazards regression models were stratified by sex, age at diagnosis, and socioeconomic status and adjusted for baseline comorbidities (hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, stroke, and syphilis).

HR = hazard ratio, AIDS = acquired immune deficiency syndrome, CI = confidence interval.

aInsurance type was used for surrogate marker of socioeconomic status.

Fig. 3. Spline curve analysis for the effect of age on the development of dementia. The solid line depicts the hazard function, while the dashed line represents the 95% CI. We employed a restricted cubic spline model for dementia, incorporating age at diagnosis as predictors. The model is adjusted for sex, insurance type, and comorbidities (hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, stroke, and syphilis). The development of dementia was identified when the diagnosis of dementia occurred more than 2 months after the diagnosis of HIV infection, and anti-dementia medications were prescribed.

Fig. 3

CI = confidence interval, HIV = human immunodeficiency virus, HR = hazard ratio.

In sensitivity analysis conducted after classifying all-cause dementia by VaD and non-VaD (Table 4), female sex was associated with an increased risk of non-VaD (HR, 2.15; 95% CI, 1.02–4.52), while age ≥ 50 at diagnosis increased the risk of VaD (HR, 4.60; 95% CI, 2.33–9.11). Insurance type of NMA and AIDS at diagnosis still showed an increased HR in both non-VaD and VaD. In Kaplan-Meier curve analysis (Fig. 4), female sex was associated with an increased risk of non-VaD compared to male sex (P = 0.039), while age ≥ 50 at diagnosis was associated with an increased risk of VaD compared to those < 50 at diagnosis (P < 0.001).

Table 4. Adjusted HRs for non-VaD and VaD.

Characteristics HR (95% CI)
Non-VaD VaD
Age at diagnosis ≥ 50 yr 1.46 (0.82–2.58) 4.57 (2.31–9.05)
Female 2.15 (1.02–4.51) 1.11 (0.52–2.37)
Low socioeconomic statusa 3.63 (1.86–7.10) 3.71 (1.99–6.93)
AIDS at diagnosis 2.31 (1.30–4.09) 2.20 (1.29–3.77)

All Cox proportional hazards regression models were adjusted for baseline comorbidities (hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, and syphilis).

HR = hazard ratio, VaD = vascular dementia, CI = confidence interval, AIDS = acquired immune deficiency syndrome.

aInsurance type was used for surrogate marker of socioeconomic status.

Fig. 4. Cumulative incidence of non-VaD and VaD by sex and age at diagnosis. Cumulative incidence of non-VaD and VaD was estimated using the Kaplan-Meier method. The cohort was stratified by sex and age at diagnosis. The development of dementia was identified when the diagnosis of dementia occurred more than 2 months after the diagnosis of HIV infection, and anti-dementia medications were prescribed.

Fig. 4

VaD = vascular dementia, HIV = human immunodeficiency virus.

DISCUSSION

In this study, we evaluated the factors associated with the increased risk of developing dementia among people living with HIV. This nationwide claim-based longitudinal cohort study identified age ≥ 50 at diagnosis, low socioeconomic status, and AIDS at baseline as independently associated with developing dementia. In addition, age and AIDS at baseline showed a significant interaction effect on the risk of dementia, with the risk of AIDS at baseline being more pronounced in individuals under 50 years of age at diagnosis. Furthermore, when the dementia was divided into VaD and non-VaD, we found that age and gender had different effects on the risk of dementia subtypes.

In the pre-ART era, the incidence of dementia was prominent at an annual rate of 7% during the first 2 years post-diagnosis.35 In the era of ART, while HAD became a rare complication, the incidence of HAND continued to increase as people living with HIV aged.36 A recent study involving patient from 2000 to 2016 showed a decreased incidence of dementia among people living with HIV, but a higher risk compared to those living without HIV.7 Our study identified that the cumulative incidence of dementia reached 4% at 10 years after the diagnosis of HIV among those diagnosed after 40 years old.

We further identified factors associated with the increased risk of dementia. First, age ≥ 50 at diagnosis of HIV infection was associated with an increased risk of developing dementia. Cox regression analysis using age at diagnosis as a continuous variable showed that the increased risk of dementia among people living with HIV started to rise at the age of 50 and continued to increase with age at diagnosis. Given that aging is a risk factor for dementia in those without HIV, it is anticipated that dementia prevalence will rise as the HIV-infected population ages. Considering that the prevalence of age-related comorbidities is higher in people living with HIV, there is a hypothesis that aging due to HIV progresses at a rapid rate.13,37 In a previous study based on DNA methylation, the biological age of those living with HIV infection was found to be accelerated after 3 years of follow-up.20 According to epidemiological studies, diseases related to aging are estimated to occur 10 years earlier,38 and those who started ART at high CD4 cell counts live approximately 10 fewer healthy years without comorbidities compared to uninfected individuals.39 Our result also supported the hypothesis of accelerated aging in those living with HIV, as the risk of dementia starting at an earlier age of 50. The increase in risk due to aging has significant implications at a time when many people infected with HIV are over the age of 50 and the number of newly infected elderly HIV patients is increasing.

Initial AIDS status at baseline is associated with an elevated risk of dementia. This suggests that baseline immunosuppression or extended exposure to HIV may play pivotal roles in the prognostic trajectory of dementia. This finding is consistent with a previous longitudinal cohort study, showing that AIDS status is the most important predictor for cognitive impairment.40 Several hypotheses link prolonged exposure to HIV with an increased risk of dementia. First, HIV causes changes in brain volume in the hippocampus. According to previous studies, brain HIV load was higher in the hippocampus,41 and hippocampus damage was known to be more common in the HIV-infected population.42 Additionally, imaging studies have shown changes in the hippocampus and entorhinal structure in association with HIV.26 Second, Aβ processing is affected by HIV through HIV-associated proteins, such as gp120 and Tat, inducing the increased production of Aβ.28,43 Third, sustained inflammatory responses could lead to chronic subcortical degeneration.44 In summary, our study underscores the potential heightened risk of dementia among individuals diagnosed with AIDS at their initial HIV diagnosis.

Low socioeconomic status was also associated with an increased risk of dementia in those living with HIV. Low socioeconomic status, including low income and education level, is a well-known risk factor for developing dementia in general population.45 Furthermore, in those living with HIV, lower socioeconomic status was also related to lower adherence with ART, which could lead to failure in suppressing systemic HIV load.30

Notably, age and AIDS at baseline showed a significant interaction effect, indicating that the effect of AIDS on the risk of developing dementia was more pronounced in those < 50 at diagnosis, raising the risk of dementia by over 5 times in this age group (Table 3). Furthermore, the onset of dementia appeared to be accelerated by approximately a decade in individuals with AIDS (Supplementary Fig. 1). This result support the notion that HIV duration measured by AIDS status and age at HIV diagnosis are important factors when assessing the risk of cognitive decline in people living with HIV.46 Given that baseline AIDS status reflects prolonged exposure to HIV and immunosuppressive status, these findings reinforce the significance of early diagnosis, prompt initiation of treatment, and the need for increased attention to dementia in newly diagnosed HIV infection, particularly among patients diagnosed with AIDS.

The effects of sex and age on dementia were distinct by subtype of dementia. The increased risk of non-VaD was associated female sex. This might reflect the fact that female sex is a risk factor of AD, which is the most common cause of neurodegenerative dementia. On the other hand, older age at diagnosis was associated with the risk of VaD. The association between older age at diagnosis and vascular cognitive impairment can reflect the higher incidence of cardiovascular and cerebrovascular comorbidities in those with older ages.47 There is also several evidence supporting the association between vascular cognitive impairment and HIV infection. First, chronic infection to HIV itself and HIV-specific immune activation may dysregulate neurovascular unit, which may cause dysfunction in microvascular structure and brain perfusion.48 Second, chronic inflammation due to non-specific immune activation is associated with viral reservoir activity and may result in a hypercoagulable state and systemic vascular endothelial cell dysfunction.49 These factors can increase the risk of VaD by increasing stroke and cardiovascular comorbidity.21,22,23,50 Furthermore, a previous imaging study revealed white matter hyperintensities, a marker for cerebral small vessel disease, are associated with HIV infection.51 Our data suggest that the risk of vascular cognitive impairment in older people living with HIV could be higher.

There are some limitations in this study. Frist, the challenge of distinguishing between incident dementia and HAND remains significant. We used the administration of AChEi and memantine as criteria for defining dementia to delineate between HAND and incident dementia. Moreover, instances where dementia diagnoses preceded or were concurrent (within 2 months) with HIV infection were excluded. Yet, even with these measures, distinguishing incident dementia from HAND using clinical data alone proves challenging. There is an imperative need to develop more refined diagnostic methodologies for differentiation.27 Second, our study lacks direct patient data, including RNA level or CD4 count, and demographic information, including education years, obesity, smoking, or alcohol consumption, which are unnecessary for the claims process. Nonetheless, the description of HIV clinics in Korea highlights several advantages aligned with the strengths of claims database research. Since these clinics are primarily staffed by specialized infectious disease doctors who adhere to internationally recognized treatment guidelines, the clinical data captured in claims databases reflect standardized, high-quality care practices. Furthermore, the doctor’s evaluation of the patient’s condition is clearly reflected in the data of the treatment pattern, encompassing diagnosis and prescription.

In conclusion, age over 50, low socioeconomic status, and AIDS status at diagnosis of HIV infection raises the likelihood of developing incident dementia, in the era of ART. These findings suggest that cognitive impairment in people living with HIV should be considered in those with higher risk.

Footnotes

Funding: This research received partial support from Boramae Medical Center under grant number 07-2021-43, and was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI22C0977).

Disclosure: The authors have no potential conflicts of interest to disclose.

Data Availability Statement: The data of this study can be made available from the National Health Insurance Service of Korea upon reasonable request. Restrictions may be imposed on the availability of these data due to privacy or ethical concerns.

Author Contributions:
  • Conceptualization: Lee E, Lee YG, Bang J.
  • Data curation: Lee E, Lee YG, Bang J.
  • Formal analysis: Lee E, Lee YG, Bang J.
  • Methodology: Lee E, Lee YG, Bang J.
  • Writing - original draft: Lee E, Lee YG, Bang J.
  • Writing - review & editing: Lee E, Lee YG, Bang J.

SUPPLEMENTARY MATERIALS

Supplementary Table 1

ICD-10 codes used for diagnosis

jkms-40-e100-s001.doc (33KB, doc)
Supplementary Table 2

Interaction effect of age at diagnosis and AIDS at baseline on the risk of dementia

jkms-40-e100-s002.doc (31.5KB, doc)
Supplementary Fig. 1

Spline curve analysis for the effect of age on the development of dementia, stratified by AIDS. The solid line depicts the hazard function, while the shaded area represents the 95% CI. We employed a restricted cubic spline model for dementia, incorporating age, baseline AIDS status, and an interaction term between age and baseline AIDS status as predictors. The model is adjusted for sex, insurance type, and comorbidities (hypertension, diabetes, dyslipidemia, myocardial infarction, stroke, and syphilis). The development of dementia was identified when the diagnosis of dementia occurred more than 2 months after the diagnosis of HIV infection, and anti-dementia medications were prescribed.

jkms-40-e100-s003.doc (137KB, doc)

References

  • 1.McArthur JC, Brew BJ, Nath A. Neurological complications of HIV infection. Lancet Neurol. 2005;4(9):543–555. doi: 10.1016/S1474-4422(05)70165-4. [DOI] [PubMed] [Google Scholar]
  • 2.Antinori A, Arendt G, Becker JT, Brew BJ, Byrd DA, Cherner M, et al. Updated research nosology for HIV-associated neurocognitive disorders. Neurology. 2007;69(18):1789–1799. doi: 10.1212/01.WNL.0000287431.88658.8b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Janssen RS, Cornblath DR, Epstein LG, McArthur J, Price RW. Nomenclature and research case definitions for neurologic manifestations of human immunodeficiency virus-type 1 (HIV-1) infection. Report of a Working Group of the American Academy of Neurology AIDS Task Force. Neurology. 1991;41(6):778–785. doi: 10.1212/wnl.41.6.778. [DOI] [PubMed] [Google Scholar]
  • 4.Kim HJ, Kim S, Lee KB, Lee KW, Oh MD, Choe KW. Neurologic complications of human immunodeficiency virus-type 1 infection. J Korean Med Sci. 2003;18(2):149–157. doi: 10.3346/jkms.2003.18.2.149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Schouten J, Cinque P, Gisslen M, Reiss P, Portegies P. HIV-1 infection and cognitive impairment in the cART era: a review. AIDS. 2011;25(5):561–575. doi: 10.1097/QAD.0b013e3283437f9a. [DOI] [PubMed] [Google Scholar]
  • 6.Kim YJ, Kim SW, Kwon KT, Chang HH, Kim SI, Kim YJ, et al. Significance of increased rapid treatment from HIV diagnosis to the first antiretroviral therapy in the recent 20 years and its implications: the Korea HIV/AIDS cohort study. J Korean Med Sci. 2019;34(38):e239. doi: 10.3346/jkms.2019.34.e239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lam JO, Lee C, Gilsanz P, Hou CE, Leyden WA, Satre DD, et al. Comparison of dementia incidence and prevalence between individuals with and without HIV infection in primary care from 2000 to 2016. AIDS. 2022;36(3):437–445. doi: 10.1097/QAD.0000000000003134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hyle EP, Wattananimitgul N, Mukerji SS, Foote JHA, Reddy KP, Thielking A, et al. Age-associated dementia among older people aging with HIV in the United States: a modeling study. AIDS. 2024;38(8):1186–1197. doi: 10.1097/QAD.0000000000003862. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Marcus JL, Chao CR, Leyden WA, Xu L, Quesenberry CP, Jr, Klein DB, et al. Narrowing the gap in life expectancy between HIV-infected and HIV-uninfected individuals with access to care. J Acquir Immune Defic Syndr. 2016;73(1):39–46. doi: 10.1097/QAI.0000000000001014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kompella S, Al-Khateeb T, Riaz OA, Orimaye SO, Sodeke PO, Awujoola AO, et al. HIV-associated neurocognitive disorder (HAND): relative risk factors. Curr Top Behav Neurosci. 2021;50:401–426. doi: 10.1007/7854_2020_131. [DOI] [PubMed] [Google Scholar]
  • 11.Smit M, Brinkman K, Geerlings S, Smit C, Thyagarajan K, Sighem A, et al. Future challenges for clinical care of an ageing population infected with HIV: a modelling study. Lancet Infect Dis. 2015;15(7):810–818. doi: 10.1016/S1473-3099(15)00056-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kiplagat J, Tran DN, Barber T, Njuguna B, Vedanthan R, Triant VA, et al. How health systems can adapt to a population ageing with HIV and comorbid disease. Lancet HIV. 2022;9(4):e281–e292. doi: 10.1016/S2352-3018(22)00009-1. [DOI] [PubMed] [Google Scholar]
  • 13.Montano M, Oursler KK, Xu K, Sun YV, Marconi VC. Biological ageing with HIV infection: evaluating the geroscience hypothesis. Lancet Healthy Longev. 2022;3(3):e194–e205. doi: 10.1016/s2666-7568(21)00278-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Esiri MM, Biddolph SC, Morris CS. Prevalence of Alzheimer plaques in AIDS. J Neurol Neurosurg Psychiatry. 1998;65(1):29–33. doi: 10.1136/jnnp.65.1.29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Green DA, Masliah E, Vinters HV, Beizai P, Moore DJ, Achim CL. Brain deposition of beta-amyloid is a common pathologic feature in HIV positive patients. AIDS. 2005;19(4):407–411. doi: 10.1097/01.aids.0000161770.06158.5c. [DOI] [PubMed] [Google Scholar]
  • 16.Calcagno A, Celani L, Trunfio M, Orofino G, Imperiale D, Atzori C, et al. Alzheimer dementia in people living with HIV. Neurol Clin Pract. 2021;11(5):e627–e633. doi: 10.1212/CPJ.0000000000001060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Howdle GC, Quidé Y, Kassem MS, Johnson K, Rae CD, Brew BJ, et al. Brain amyloid in virally suppressed HIV-associated neurocognitive disorder. Neurol Neuroimmunol Neuroinflamm. 2020;7(4):e739. doi: 10.1212/NXI.0000000000000739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Turner RS, Chadwick M, Horton WA, Simon GL, Jiang X, Esposito G. An individual with human immunodeficiency virus, dementia, and central nervous system amyloid deposition. Alzheimers Dement (Amst) 2016;4(1):1–5. doi: 10.1016/j.dadm.2016.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Stern AL, Ghura S, Gannon PJ, Akay-Espinoza C, Phan JM, Yee AC, et al. BACE1 mediates HIV-associated and excitotoxic neuronal damage through an APP-dependent mechanism. J Neurosci. 2018;38(18):4288–4300. doi: 10.1523/JNEUROSCI.1280-17.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Breen EC, Sehl ME, Shih R, Langfelder P, Wang R, Horvath S, et al. Accelerated aging with HIV begins at the time of initial HIV infection. iScience. 2022;25(7):104488. doi: 10.1016/j.isci.2022.104488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Benjamin LA, Bryer A, Emsley HC, Khoo S, Solomon T, Connor MD. HIV infection and stroke: current perspectives and future directions. Lancet Neurol. 2012;11(10):878–890. doi: 10.1016/S1474-4422(12)70205-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Feinstein MJ, Hsue PY, Benjamin LA, Bloomfield GS, Currier JS, Freiberg MS, et al. Characteristics, prevention, and management of cardiovascular disease in people living with HIV: a scientific statement from the American Heart Association. Circulation. 2019;140(2):e98–124. doi: 10.1161/CIR.0000000000000695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sico JJ, Chang CC, So-Armah K, Justice AC, Hylek E, Skanderson M, et al. HIV status and the risk of ischemic stroke among men. Neurology. 2015;84(19):1933–1940. doi: 10.1212/WNL.0000000000001560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Park S, Park SY, Lee E, Kim TH, Lee E. The role of age in subclinical atherosclerosis in Asian people living with human immunodeficiency virus. Infect Chemother. 2022;54(2):308–315. doi: 10.3947/ic.2022.0033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Robertson K, Liner J, Meeker RB. Antiretroviral neurotoxicity. J Neurovirol. 2012;18(5):388–399. doi: 10.1007/s13365-012-0120-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Nir TM, Fouche JP, Ananworanich J, Ances BM, Boban J, Brew BJ, et al. Association of immunosuppression and viral load with subcortical brain volume in an international sample of people living with HIV. JAMA Netw Open. 2021;4(1):e2031190. doi: 10.1001/jamanetworkopen.2020.31190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rubin LH, Sundermann EE, Moore DJ. The current understanding of overlap between characteristics of HIV-associated neurocognitive disorders and Alzheimer’s disease. J Neurovirol. 2019;25(5):661–672. doi: 10.1007/s13365-018-0702-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Fulop T, Witkowski JM, Larbi A, Khalil A, Herbein G, Frost EH. Does HIV infection contribute to increased beta-amyloid synthesis and plaque formation leading to neurodegeneration and Alzheimer’s disease? J Neurovirol. 2019;25(5):634–647. doi: 10.1007/s13365-019-00732-3. [DOI] [PubMed] [Google Scholar]
  • 29.Lee E, Kim J, Lee JY, Bang JH. Estimation of the number of HIV infections and time to diagnosis in the Korea. J Korean Med Sci. 2020;35(6):e41. doi: 10.3346/jkms.2020.35.e41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kim J, Lee E, Park BJ, Bang JH, Lee JY. Adherence to antiretroviral therapy and factors affecting low medication adherence among incident HIV-infected individuals during 2009-2016: a nationwide study. Sci Rep. 2018;8(1):3133. doi: 10.1038/s41598-018-21081-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Lee DW, Jang J, Choi DW, Jang SI, Park EC. The effect of shifting medical coverage from National Health Insurance to Medical Aid type I and type II on health care utilization and out-of-pocket spending in South Korea. BMC Health Serv Res. 2020;20(1):979. doi: 10.1186/s12913-020-05778-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Seong SC, Kim YY, Khang YH, Park JH, Kang HJ, Lee H, et al. Data resource profile: the National Health Information Database of the National Health Insurance Service in South Korea. Int J Epidemiol. 2017;46(3):799–800. doi: 10.1093/ije/dyw253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Schneider E, Whitmore S, Glynn KM, Dominguez K, Mitsch A, McKenna MT, et al. Revised surveillance case definitions for HIV infection among adults, adolescents, and children aged <18 months and for HIV infection and AIDS among children aged 18 months to <13 years--United States, 2008. MMWR Recomm Rep. 2008;57(RR-10):1–12. [PubMed] [Google Scholar]
  • 34.Kaplan JE, Benson C, Holmes KK, Brooks JT, Pau A, Masur H, et al. Guidelines for prevention and treatment of opportunistic infections in HIV-infected adults and adolescents: recommendations from CDC, the National Institutes of Health, and the HIV Medicine Association of the Infectious Diseases Society of America. MMWR Recomm Rep. 2009;58(RR-4):1–207. [PubMed] [Google Scholar]
  • 35.McArthur JC, Hoover DR, Bacellar H, Miller EN, Cohen BA, Becker JT, et al. Dementia in AIDS patients: incidence and risk factors. Multicenter AIDS cohort study. Neurology. 1993;43(11):2245–2252. doi: 10.1212/wnl.43.11.2245. [DOI] [PubMed] [Google Scholar]
  • 36.Wang Y, Liu M, Lu Q, Farrell M, Lappin JM, Shi J, et al. Global prevalence and burden of HIV-associated neurocognitive disorder: a meta-analysis. Neurology. 2020;95(19):e2610–e2621. doi: 10.1212/WNL.0000000000010752. [DOI] [PubMed] [Google Scholar]
  • 37.Aung HL, Aghvinian M, Gouse H, Robbins RN, Brew BJ, Mao L, et al. Is there any evidence of premature, accentuated and accelerated aging effects on neurocognition in people living with HIV? A systematic review. AIDS Behav. 2021;25(3):917–960. doi: 10.1007/s10461-020-03053-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Guaraldi G, Orlando G, Zona S, Menozzi M, Carli F, Garlassi E, et al. Premature age-related comorbidities among HIV-infected persons compared with the general population. Clin Infect Dis. 2011;53(11):1120–1126. doi: 10.1093/cid/cir627. [DOI] [PubMed] [Google Scholar]
  • 39.Marcus JL, Leyden WA, Alexeeff SE, Anderson AN, Hechter RC, Hu H, et al. Comparison of overall and comorbidity-free life expectancy between insured adults with and without HIV infection, 2000-2016. JAMA Netw Open. 2020;3(6):e207954. doi: 10.1001/jamanetworkopen.2020.7954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Oliveira NL, Kennedy EH, Tibshirani R, Levine A, Martin E, Munro C, et al. Longitudinal 5-year prediction of cognitive impairment among men with HIV disease. AIDS. 2021;35(6):889–898. doi: 10.1097/QAD.0000000000002827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Wiley CA, Soontornniyomkij V, Radhakrishnan L, Masliah E, Mellors J, Hermann SA, et al. Distribution of brain HIV load in AIDS. Brain Pathol. 1998;8(2):277–284. doi: 10.1111/j.1750-3639.1998.tb00153.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Petito CK, Roberts B, Cantando JD, Rabinstein A, Duncan R. Hippocampal injury and alterations in neuronal chemokine co-receptor expression in patients with AIDS. J Neuropathol Exp Neurol. 2001;60(4):377–385. doi: 10.1093/jnen/60.4.377. [DOI] [PubMed] [Google Scholar]
  • 43.Umlauf A, Soontornniyomkij B, Sundermann EE, Gouaux B, Ellis RJ, Levine AJ, et al. Risk of developing cerebral β-amyloid plaques with posttranslational modification among HIV-infected adults. AIDS. 2019;33(14):2157–2166. doi: 10.1097/QAD.0000000000002336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Edén A, Price RW, Spudich S, Fuchs D, Hagberg L, Gisslén M. Immune activation of the central nervous system is still present after >4 years of effective highly active antiretroviral therapy. J Infect Dis. 2007;196(12):1779–1783. doi: 10.1086/523648. [DOI] [PubMed] [Google Scholar]
  • 45.Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020;396(10248):413–446. doi: 10.1016/S0140-6736(20)30367-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Cysique LA, Brew BJ. The effects of HIV and aging on brain functions: proposing a research framework and update on last 3 years’ findings. Curr Opin HIV AIDS. 2014;9(4):355–364. doi: 10.1097/COH.0000000000000078. [DOI] [PubMed] [Google Scholar]
  • 47.Cysique LA, Brew BJ. Vascular cognitive impairment and HIV-associated neurocognitive disorder: a new paradigm. J Neurovirol. 2019;25(5):710–721. doi: 10.1007/s13365-018-0706-5. [DOI] [PubMed] [Google Scholar]
  • 48.Gelman BB. Neuropathology of HAND with suppressive antiretroviral therapy: encephalitis and neurodegeneration reconsidered. Curr HIV/AIDS Rep. 2015;12(2):272–279. doi: 10.1007/s11904-015-0266-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Kallianpur AR, Gittleman H, Letendre S, Ellis R, Barnholtz-Sloan JS, Bush WS, et al. Cerebrospinal fluid ceruloplasmin, haptoglobin, and vascular endothelial growth factor are associated with neurocognitive impairment in adults with HIV infection. Mol Neurobiol. 2019;56(5):3808–3818. doi: 10.1007/s12035-018-1329-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Alonso A, Barnes AE, Guest JL, Shah A, Shao IY, Marconi V. HIV infection and incidence of cardiovascular diseases: an analysis of a large healthcare database. J Am Heart Assoc. 2019;8(14):e012241. doi: 10.1161/JAHA.119.012241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Mina Y, Wu T, Hsieh HC, Hammoud DA, Shah S, Lau CY, et al. Association of white matter hyperintensities with HIV status and vascular risk factors. Neurology. 2021;96(14):e1823–e1834. doi: 10.1212/WNL.0000000000011702. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Table 1

ICD-10 codes used for diagnosis

jkms-40-e100-s001.doc (33KB, doc)
Supplementary Table 2

Interaction effect of age at diagnosis and AIDS at baseline on the risk of dementia

jkms-40-e100-s002.doc (31.5KB, doc)
Supplementary Fig. 1

Spline curve analysis for the effect of age on the development of dementia, stratified by AIDS. The solid line depicts the hazard function, while the shaded area represents the 95% CI. We employed a restricted cubic spline model for dementia, incorporating age, baseline AIDS status, and an interaction term between age and baseline AIDS status as predictors. The model is adjusted for sex, insurance type, and comorbidities (hypertension, diabetes, dyslipidemia, myocardial infarction, stroke, and syphilis). The development of dementia was identified when the diagnosis of dementia occurred more than 2 months after the diagnosis of HIV infection, and anti-dementia medications were prescribed.

jkms-40-e100-s003.doc (137KB, doc)

Articles from Journal of Korean Medical Science are provided here courtesy of Korean Academy of Medical Sciences

RESOURCES