Worldwide Prevalence of HIV Associated Neurocognitive Disorders (HAND) and its associated factors: A systematic review and meta- analysis

DOI: https://doi.org/10.21203/rs.3.rs-308727/v1

Abstract

Background: HIV associated neurocognitive disorders are common in people living with HIV/AIDS and affects adherence of patients to prescription, activities of daily living and quality of life of patients. However, there is a lack of summative evidence in the area. The present meta-analysis was therefore employed to address this gap. 

Methods: we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines during our electronic search in Psych-Info, EMBASE, Scopus and PubMed. The retrieved articles were stored with endnote reference manager and data was extracted using Meta-XL version 5.3. The quality of studies were evaluated with modified Newcastle–Ottawa Scale (NOS). A random-effect model and STATA-16 were used to compute the average estimate of HAND. Heterogeneity was weighed with I2 statistics. A sensitivity analysis and subgroup analysis were employed. The existence /nonexistence of a publication bias were checked with the eye ball test and eggers test of publication bias.

Results: The average prevalence of HAND was 50.41% (95% CI: 45.56, 55.26). The average estimate of HAND in Europe was found to be 50.015% whereas in Africa, Asia and United States of America (USA) it was 49.566%, 52.032 %, 50.407% respectively. The prevalence of HAND in studies which used HIV Dementia Scale (IHDS) was 36.883% & 59.956% at a cutoff points of IHDS< 9.5 & IHDS <10 respectively. In addition the estimated average of HAND with the global dementia scale (GDS) was 40.766%. The prevalence of HAND in cross-sectional, cohort and case control studies was 49.52%, 54.087% and 44.45% in that order. Sociodemographic variables such as low level of education and older age, clinical and HIV related variables such as advanced stage of the illness and CD4 count of 500 cells/dl or less and psychological variables such as comorbidity of depression increases the risk of HAND.

Conclusion: The average prevalence of HAND was high (more than half of participants) and factors such as low level of education, older age, advanced stage of the illness and comorbidity of depression increases the risk of HAND. Public health interventions to HIV patients should target these essential problems.

1. Introduction

HIV/AIDS is a global public health issue with more than 34 million individuals living with the virus currently (1). Mental, neurological and substance (MNS) related disorders are very common in individuals living with HIV/AIDS (2). Latest systematic review and Meta-analysis studies by Necho et al 2020 (3) revealed that 35.8% of HIV/AIDS patients had depressive symptoms (3). Another systematic review and meta-analysis studies reported that the prevalence of post-traumatic stress disorder (PTSD), alcohol use disorder (AUD), suicidal ideation in individuals living with HIV/AIDS were 32.67%(4), 22.02% (5) and 21.7%(6) respectively.

Since HIV is a neurotropic virus, it affects the cortical and sub-cortical parts of the brain resulting in cognitive impairment (7). This impact of HIV on cognitive domain of patients is known as HIV-associated neurocognitive disorder (HAND)(8, 9). The level of HAND arrays from asymptomatic impairment to minor neurocognitive disorder and full blown dementia (10-13). HIV-associated neurocognitive disorder affects memory, attention, problem solving ability, language, higher executive functioning and independent activities of daily living (14).

HIV associated neurocognitive disorders are very common in HIV/AIDS patients. A study by Abdulrazaq G. Habib et al 2013(15) reported that the burden of neurocognitive impairment (NCI) among ART attendants was 30.39%. Based on the report of multiple earlier studies the world wide burden of HIV associated neurocognitive disorders(HAND) varies from a minimum of 7.3% to a maximum of 85% (8, 10, 12-14, 16-49). In addition, the frequency of HIV associated neurocognitive disorder (HAND) in developed and developing countries varies between 19% to 52% (30, 50), and 14% to 64% (12, 13) respectively.

Different studies reported varieties of sociodemographic and clinical factors associated with HIV associated neurocognitive disorders in individuals living with HIV/AIDs. For example studies from, Cameroon, Nigeria, Botswana, Singapore , Malawi and Dessie Ethiopia reported that sociodemographic variables such as older age, female sex, and lower educational level were a risk factors for HIV associated neurocognitive disorder(13, 14, 45, 49, 51, 52). In addition, from Clinical variables CD4 count of < 500 cells/mm3 was related to HIV-associated neurocognitive disorder based on reports of studies from Brazil, Singapore and Northern Nigeria (14, 49, 53). Moreover, advanced stage of AIDS and not being on highly active anti-retroviral treatment (HAART) were associated with HIV-associated neurocognitive disorder in South Africa (50-52). In Uganda behavioral and psychological variables such as depression, Body mass index and alcohol abuse were associated with HIV-associated neurocognitive disorder (10). Moreover, medication non-adherence and opportunistic infections were associated with HIV-associated neurocognitive disorder (45, 54).

Presence of HIV-associated neurocognitive disorder predisposes HIV infected patients substance abuse, poor medication adherence, and unsafe sex so that poor quality of life and lost to follow up from treatment are final outcomes. These conditions speed up the progression of the virus to its advanced stages and development of severe opportunistic infections and death (11, 12).

Despite the fact that high proportion of the world population has been living with HIV/AIDS and high prevalence of mental, neurological and substance use disorders in this population, these problems especially neurocognitive disorder are not investigated well. Despite the presence of some studies in the area, they are of mostly confined to a small population and to a narrow geographical area (8, 10, 12-14, 16-49). Consequently, there arises a need to have aggregate data regarding HIV-associated neurocognitive disorder and its associated factors.

Therefore, this systematic review and meta-analysis study was designed to have summative empirical data on (1): The commonness of HIV-associated neurocognitive disorder on people living with HIV AIDS (2): The associated factors for HIV-associated neurocognitive disorder in people with HIV AIDS and in conclusion to clear a reference point for officials, future scientists and clinicians.

2. Methods

2.1: Search strategy

This systematic review and meta-analysis study was done using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines as a framework (55). We have performed our search strategy for this review in different ways. Initially we did an electronic exploration for eligible articles regarding HIV-associated neurocognitive disorder on people living with HIV AIDS in the databases of Psych-Info, EMBASE, Scopus and PubMed. As a sample of our search strategy with PubMed database, we have used the following key terms: (Prevalence OR screening OR burden AND “neurocognitive disorder” OR “neurocognitive deficit” OR “neurocognitive impairment” OR “HIV-associated neurocognitive disorder” OR “Intellectual impairment” OR “HAND” AND “PLWHA” OR “HIV/AIDS” OR HIV OR AIDS OR ART AND “associated factor” OR determinant OR “risk factor”). Moreover, Psych-Info, EMBASE and SCOPUs databases were investigated in line with the searching guidelines of each database. In addition, the reference lists of included studies were searched manually for additional eligible articles. There was no time restriction to the publication year of the articles during the searching process.

2.2: Eligibility criteria’s

During our study of a systematic review ad meta-analysis on HIV-associated neurocognitive disorder in people living with HIV AIDS, we have set the following inclusion and exclusion criteria’s based on the PICO criteria : (1) the primary inclusion criteria was the design of the study. In this context all observational studies (case control, cross-sectional ad cohort) were eligible for analysis. (2) The next criteria for inclusion to analysis were the study should assessed prevalence OR associated factors of HIV-associated neurocognitive disorder in people living with HIV AIDS. (3) The HIV-associated neurocognitive disorder had also to be investigated using International HIV Dementia Scale (IHDS), Frascati criteria, Mini-mental state exam(MMSE), global dementia scale(GDS), Brief Neurocognitive Screen, Neuropsychological battery, Montreal Cognitive Assessment (MoCA),In-depth neuropsychological assessment, Wechsler Adult Intelligence Scale and ADC.

We excluded studies 1) that assessed neurocognitive disorder in samples other than people living with HIV/AIDS. 2) That assessed neurocognitive disorder in individuals that had a history of depression or other forms of mental illness or those taking a psychotropic medication. 3) Studies which are letters to the editor with non-original data content, earlier reviews, case studies, studies involving non-human subjects, articles published in a language other than English language were also excluded from the analysis. After all relevant articles were searched in the mentioned data bases; they were stored in an endnote reference manager. Two of the authors (MN and YZ) individually screened the titles and abstracts of articles stored in an endnote reference manager using the eligibility criteria’s. Next to that, the above two authors carefully read the full length of articles which passed the initial screening and decided independently articles suitable for inclusion in the final meta-analysis. Any disagreement in between them regarding eligibility criteria was resolved by agreement and with a third reviewer (WY).

2.3: Data extraction and quality assessment techniques

Once the articles for inclusion to the final analysis were settled, the previously mentioned two authors (MN and YZ) extracted all the necessary data individualistically using an identical data extraction form. The forty final incorporated studies were extracted using the data extraction template as suggested by PRISMA guidelines (55), using Meta-XL version 5.3 (56) and the result was summarized in a table presentation. The contents of the data extraction template were author name, year of publication, country where the study was done, study design, studied sample population, assessment tool for HIV associated neurocognitive disorders, number of cases with HIV associated neurocognitive disorders, prevalence of HIV associated neurocognitive disorders, sampling technique employed to recruit participants, and response rate of the study.

The quality of forty included studies (8, 10, 12-14, 16-49) had been evaluated using modified Newcastle–Ottawa Scale (NOS) (57) as gold standard. Representativeness of sample and sample size, statistical quality, comparability among participants and ascertainment of cases were the components of this quality assessment scale. Based on this scale studies with a quality score of 7 to 10 were categorized as very good/good, score of 5 to 6 were categorized as having satisfactory quality, and a score less than 5 was take as unsatisfactory quality.

2.4: Data analysis and synthesis

The random-effect model was used to compute the average estimate of HIV associated neurocognitive disorders and its associated factors with 95% CIs (58). The STATA-16 Meta-prop package (59) was employed to find the average estimate of HIV associated neurocognitive disorders. Heterogeneity among the forty involved studies (8, 10, 12-14, 16-49) was weighed with Q and I2 statistics (60). An I2 numerical value of more than 50% imply a significant degree of heterogeneity among forty studies(60). As there existed a potential heterogeneity during analysis, we further conducted a sensitivity analysis to identify an influential study outweighing the study finding. Additionally, we did a subgroup analysis regarding the country of the study, study design and the assessment tools used to screen HIV associated neurocognitive disorders. The presence /absence of a publication bias was done visually with the eye ball test (61) and eggers test of publication bias.

2.5: Review registration

This systematic review ad meta-analysis has been registered in PROSPERO with a registration number of ------------------------------------------------

3. Results

3.1: Identification of studies

Our electronic search in Psych-Info, EMBASE, Scopus and PubMed gave to a total of 10231 articles. Additionally 12 articles were retrieved by looking for reference list of earlier articles. Thus, a total of 10243 articles were retrieved during the overall searching process, of which 39 were removed as they were duplicates. During the initial stage of screening, most of the articles (10118) were excluded merely by looking at their title or abstract. The lasting 86 articles were completely inspected for suitability of inclusion to the study but only 40 articles were suited for final meta-analysis as the 46 studies were excluded with limitations in methodology (Figure 1).

3.2: Characteristics of included studies

A total of forty studies (8, 10, 12-14, 16-49) that surveyed HIV associated neurocognitive disorders in 14107 HIV/AIDS patients were integrated in the current systematic review and meta-analysis study. Of the forty included studies; eleven were from Europe (8, 14, 20, 22, 23, 26, 27, 39, 40, 43), twenty one were from Africa(10, 13, 17, 19, 24, 29, 30, 34, 36-38, 44-49), and six were from Asia(16, 25, 33, 35, 42) (fazel) and two from United States of America (USA) (28, 40). Most of the included studies (28)(8, 10, 12-14, 16-19, 22, 24, 25, 27, 29, 30, 33-39, 44-49) were cross-sectional in design whereas the remaining ten and two were cohort(8, 20, 22, 23, 26, 28, 40, 42, 43) and case control(29, 62) respectively. Regarding tools used for the assessment of HIV associated neurocognitive disorders, half of the included studies (twenty) used International HIV Dementia Scale (IHDS)(8, 10, 12-14, 16, 19, 24, 34-36, 38, 42, 43, 45, 47-49, 62) . Frascati criteria, global dementia scale (GDS) and Montreal Cognitive Assessment (MoCA) were also used to assess HIV associated neurocognitive disorders in three(25, 30, 46), three(29, 37) (Yechoor et al.2016 ) and three (18, 22) (Chan et al.2016) studies respectively. HIV associated neurocognitive disorders were assessed on a total of 14107 HIV/AIDS patients (Table 1).

3.3: Quality of Included Studies

Using the modified version of Newcastle Ottawa quality assessment scale, we assessed the quality of forty studies (8, 10, 12-14, 16-49). This scale divides the quality score of 40 studies in to three; 7 to 10 categorized as very good/good, 5 to 6 categorized as having satisfactory quality and a score less than 5 as unsatisfactory quality. Among the forty included studies; the majority (twenty nine) had scored from 7 to 10 so that good quality scores on the scale. Of the remaining eleven studies, seven had a satisfactory quality and remaining four of the studies had unsatisfactory quality.

3.4: The prevalence of HIV associated neurocognitive disorders among HIV/AIDS patients

Forty studies that evaluated HIV associated neurocognitive disorders in HIV/AIDS had been included to determine the average prevalence of HIV associated neurocognitive disorders. The reported prevalence of HIV associated neurocognitive disorders included in the meta-analysis differs from 7.3% in United Kingdom(27) to 88% in Kenya(34). The average prevalence of HIV associated neurocognitive disorders using the random effect model was 50.41% (95% CI: 45.56, 55.26). This average prevalence of HIV associated neurocognitive disorders has been affected by substantial heterogeneity (I2 =100%, p-value ≤ 0.001) from the difference among forty included studies (Figure 2).

3.4: Subgroup analysis of the prevalence of HIV associated neurocognitive disorders among HIV/AIDS patients

Since the average estimate of HIV associated neurocognitive disorders was predisposed to a considerable heterogeneity, we employed a subgroup analysis based on country where the study was done, the assessment tool used to screen HIV associated neurocognitive disorders and study design. The average estimate of HIV associated neurocognitive disorders in Europe (8, 14, 20, 22, 23, 26, 27, 39, 40, 43) was found to be 50.015% (95% CI: 43.339, 56.691) whereas in Africa (10, 13, 17, 19, 24, 29, 30, 34, 36-38, 44-49), Asia (16, 25, 33, 35, 42) (fazel) and United States of America (USA) (28, 40) the average prevalence of HAND were 49.566% (95% CI: 41.342, 57.791) with (I2= 96.6%, p-value <0.001), 52.032 % (95% CI: 34.46, 69.604) with (I2 =98%, p-value<0.001) and 50.407% (95%CI: 45.555, 55.258) (I2 =100%, P<0.001) respectively (Table 2). The average estimate of HIV associated neurocognitive disorders in studies which used International HIV Dementia Scale (IHDS) (8, 10, 12-14, 16, 19, 24, 34-36, 38, 42, 43, 45, 47-49, 62) (Webb et al.2016) was 36.883% (95%CI: 21.196, 52.571) & 59.956% (95%CI: 49.985, 69.928) at a cutoff points of IHDS< 9.5 & IHDS<10 respectively. The estimated average of HAND in studies used the global dementia scale (GDS)(29, 37) (Yechoor et al.2016 ) was 40.766% (95%CI: 31.995, 49.537). The estimated average of HAND in cross-sectional (8, 10, 12-14, 16-19, 22, 24, 25, 27, 29, 30, 33-39, 44-49) cohort (8, 20, 22, 23, 26, 28, 40, 42, 43) and case control (29, 62) studies was 49.52% (95% CI: 43.490, 55.545) (I2= 48.6%, P=1.00) , 54.087% (95% CI: 45.087, 63.087) (I2= 96%%, P<0.001) and 44.45% (95% CI: 25.144, 63.756) (I2= 94.8%, P<0.001) respectively(Table 2).

3.5: Sensitivity analysis

In addition to a subgroup analysis, we did a sensitivity analysis to know whether one or more of the individual studies outweighed the overall estimate of HIV associated neurocognitive disorders. The result however reported that the average estimate of HIV associated neurocognitive disorders ranges from 46.92638% (95% CI: 46.889656, 46.963104) to 50.478935% (95% CI: 50.439026, 50.518841) when each studies were omitted from the analysis (Table 3). This implies that there was no single influential study outweighing the average estimate. 

3.6: Publication bias

The eggers test of publication bias had been runned and its p-value is not significant; (P-value=0.55) suggesting that there was no publication bias for the prevalence HIV associated neurocognitive disorders. Additionally, a graphical inspection from a funnel plot for a Logit event rate of occurrence of HIV associated neurocognitive disorders in HIV AIDS patients alongside its standard error suggests an accommodating evidence for the nonexistence of a publication bias (Figure 3).

3.7: Associated factors of HIV associated neurocognitive disorders among HIV/AIDS patients

Among the forty studies, only fifteen studies described the factors related with HIV associated neurocognitive disorders (8, 10, 12, 14, 17, 19, 20, 24, 25, 33, 34, 45-48). The most frequently reported sociodemographic variable as associated factor of HIV associated neurocognitive disorders were low level of education(12, 14, 17, 20, 29, 45, 46) and older age (8, 14, 19, 45, 48) Among clinical and HIV related variables late clinical stage of the illness (19, 20, 24, 48) and CD4 count of 500 cells/dl or less (8, 17, 45) were the most commonly described factor for HIV associated neurocognitive disorders. In addition, from psychological variables comorbidity of depression increases the risk of HIV associated neurocognitive disorders (14, 20, 34). Moreover, clinical and HIV related variables such as impairment in the activity of daily living(19), duration of HIV infection > 5 years (25), poor medication adherence (45), co-morbid medical illness, highest prior VL >100,000 copies/ml(8), history of neurological disease(20), use of benzodiazepines(33), body mass index< 16 kg/m2 (24), plasma HIV-1 RNA load between 1.7log10 and 3log10 copies/ml(48), having co-morbid opportunistic infection(19) and psychological variables like negative life events, high stress score index (score>10) (10), generalized anxiety symptoms (20), and substance use (19, 48) were related to HIV associated neurocognitive disorders (Table 4).

3.7. 1 Association between old age and HIV associated neurocognitive disorders among HIV/AIDS patients

Older age was reported as the risk factor for HIV associated neurocognitive disorders by five studies (8, 14, 19, 45, 48).

3.7.2 Association between depression and HIV associated neurocognitive disorders among HIV/AIDS patients

As reported with three studies (14, 20, 34) that assessed HIV associated neurocognitive disorders, depression increases the risk of HIV associated neurocognitive disorders.

3.7.3 Association between advanced stages of AIDS and HIV associated neurocognitive disorders among HIV/AIDS patients

Advanced clinical stages of the illness (stage III and stage IV AIDS) (19, 20, 24, 48) were also associated factor for HIV associated neurocognitive disorders.

4. Discussion

To our knowledge, this is the first systematic review and meta-analysis that assessed the global burden of HIV associated neurocognitive disorders in HIV/AIDS patients. So, the data synthesized will be important suggestion to varied stakeholders. Overall, forty studies (8, 10, 12-14, 16-49) that measured the prevalence of HIV associated neurocognitive disorders in 14107 participants and fifteen studies that described the factors related with HIV associated neurocognitive disorders (8, 10, 12, 14, 17, 19, 20, 24, 25, 33, 34, 45-48) were included.

The average worldwide prevalence of HIV associated neurocognitive disorders in this study was 50.41% (95% CI: 45.56, 55.26). This was higher than the result of a meta-analysis that assessed 16 studies in sub-Sahara Africa where the prevalence of HAND was 30.39% (Neurocognitive impairment in HIV-1-infected adults in Sub-Saharan Africa: a systematic review and meta-analysis).

This review and meta-analysis has its own strengths and limitations. Its strength begins with the use of a prespecified search strategy that minimizes reviewer’s bias. The second strength was that the data extraction and quality assessment of the study was done by independent reviewers that also further minimize reviewer’s bias. The implementation of subgroup analysis and sensitivity analysis to detect the source of heterogeneity was strength. On the contrary, the limitations of the present study rise from the existence of heterogeneity that might affect the conclusion of the study findings. Another limitation is that inclusion of few numbers of studies in the subgroup analysis might minimize validity of estimate.

Conclusion And Recommendation

This systematic review and meta-analysis study reported a high prevalence of HIV associated neurocognitive disorders (more than half of the participants), Sociodemographic variables such as low level of education and older age, clinical and HIV related variables such as advanced stage of the illness and CD4 count of 500 cells/dl or less and psychological variables such as comorbidity of depression increases the risk of HAND. Therefore, to increase independent functioning and improve the quality of life of individuals living with HIV/AIDS, much attention has to be given to lessen these neurocognitive disorders and adjust the allied factors essentially through routine screening and timely intervention of HAND. Moreover, policies and procedures that integrate routine screening and timely intervention of HAND to the routine anti-retroviral therapy should be designed and implemented.  Further experimental and follow up studies with greater samples population in the area should be done.

Abbreviations

AIDS: Acquired Immune-Deficiency Syndrome, ANI: Asymptomatic neurocognitive impairment, CC: case control, CD: Cognitive decline, CS: cross-sectional, F: female, GDS: global dementia scale, HAD: HIV associated dementia, HAND: HIV associated neurocognitive disorders, IHDS: International HIV Dementia Scale, II: Intellectual impairment, M: male, MMSE: Mini-mental state exam, MND: Mild neurocognitive disorders, MoCA: Montreal Cognitive Assessment, NA: Not available, NCI: Neurocognitive impairment, SNI: Symptomatic neurocognitive impairment, UK: United kingdom, USA: united states of America.

Declarations

Data availability

All relevant data regarding this research work is included in the manuscript.

Ethical approval

N/A

Conflict of interest

 No potential conflict of interest for this study.

Funding

The was no funding for this research and budgetary issues was covers by the investigators themselves

Authors contribution

YZ imagined the idea for the study. YZ & MN established the search approach, extract the relevant data, accomplished the analysis, and inscribed the manuscript. MN, YZ, BA & WY did the quality assessment studies. All authors confirmed the last draft of the manuscript.

Acknowledgement

Not applicable

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tables

Table 1:

Author, year of publication

Country

Study design

Sample size

Tools with cut off points

Sampling Technique

Response Rate

Age of respondents

Prevalence of outcome 

Cases with the outcome

Lawler et al. 2010

Botswana

CS

120

IHDS < 9.5 

Randomly selected

100%

M & F

21-50 years

 

47

Pinheiro et al.2016

Brazil

CS

434

IHDS < 10

NA

90.3%

M & F

18 years

HAND =54.1%

235

Elham et al.2020

Iran

CS

93

Frascati neuropsychological criteria

 

NA

100%

M & F

1860 years

HAND=50.5%

47

Haddow et al.2012

UK

CS

150

ADC

Randomly selected

 

M & F

Median age = 43 years

HAND =7.3%

11

Kelly et al.2014

Malawi

CS

106

Frascati criteria

 

Consecutively

93.8%

M & F

>18 years

HAND =70% 

 

74

Yakasai et al.2015

Nigeria

CS

80

Frascati criteria

 

NA

100%

>18 years

HAND=40%

 

32

 

 

 Belete et al.2017

 Ethiopia

CS

254

International HIV Dementia

Scale (IHDS) < 9.5

Systematic random sampling technique

92.1%.

M & F

18-64 years

 HAND=33.3%

85

Araya et al.2020

Ethiopia 

CS

584

Mini-mental state exam

Systematic random sampling

99.49%

18 years

HAND=35.6%

208

Yitbarek et al.2019

Ethiopia 

CS

328

International HIV Dementia

Scale (IHDS)

Systematic random sampling

97.04%

18 years

HAND=37.7%

124

Belete et al.2014

Ethiopia 

CS

423

International HIV Dementia

Scale (IHDS)

Systematic random sampling

100%

18 years

HAND=24.8%

105

Nyamayaro et al.2020

 Zimbabwe

CSC

155

GDS 0.5

 

100%

M & F

18 years or older

HAND=49.7%

77

Tsegaw et al.2017

 Ethiopia

CS

595

International HIV Dementia

Scale (IHDS) < 9.5

Systematic random sampling technique

99%

M & F

 18 and 65 years

HAND=36.4%

217

Focà et al.2016

Italy

cohort 

206

MMSE

 

 

100%

>18 years

HAND= 47.1%

 

97

 

Pascal et al.2016

Central

African Republic

CS

244

International HIV Dementia

Scale (IHDS) ≤ 8.36

 

100%

M & F

>18 Years

HAND= 25%

61

Awori et al.2018

Kenya

CS

218

MoCA < 26. 

 

Consecutively  sampled

98.6%

18 – 65 years

HAND = 69%

150

Achappa     et al.2014

 India

CS

101

International HIV Dementia

Scale (IHDS) ≤ 10

Convenient sampling

100%

M & F

18-60 years

HAND=90.1%

91

Sunmonu et al.2015

Nigeria

Prospective 

58

WAIS

 

100%

M & F

>16 years

HAND=63.8%

37

Robertson et al.2014

 Europe and Canada

CS

2884

Brief Neurocognitive Screen

 

 

99.3%

M & F

>18 years

HAND=41.5%

1197

Chan et al.2016

Singapore

CS

132

MoCA

 

100%

M & F

21 to 80 years

HAND =22.7%

30

Cysique et al.2010

China

Cohort 

192

Neuropsychological battery

 

 

94.6%

Mean (SD)= 40.2 (6.3)

HAND = 27%

 

Harezlaket al.2011

USA

cohort 

268

ADC stage > 1

 

89.6%

Median=47.0 (43.0–57.0)

HAND = 48%

129

Nakasujja et al.2012

Uganda

CS

156

IHDS

Consecutively recruited

100%

M & F

18–59 years

HAND =64.7%

101

Robertson et al.2007

USA

cohort 

1160

Brief Neuro-

Cognitive Screen

 

Randomized Trials

100%

M & F

34-55 years

HAND=65%

754

Chan et al.2019

Singapore

Cohort 

53

Montreal Cognitive Assessment (MoCA)= ≥ 26

MMSE

IHDS≤10

 

100%

Males

>21 years

HAND=52.8%

28

Kabuba et al.2016

Zambia

C-C

266

GDS > 0.5

 

100%

M & F

18 to 65 years

HAND=34.6 %

93

Yechoor et al.2016

Uganda

CS

181

GDS≥ 0.5

 

100%

M & F

18–50 years

HAND =38%

69

Nakku et al.2013

Uganda

CS

680

International HIV Dementia

Scale (IHDS)<10

 

90.9%

M & F

>18 years

HAND=64.4%.

438

Troncoso et al.2015

Brazil

CS

114

International HIV Dementia

Scale (IHDS)≤10

 

97.4%

M & F

>18 years

HAND =53.2%

61

Fasel et al.2014

Switzerland

Cohort

30

In-depth neuropsychological assessment

 

100%

M & F

≥18 years

HAND=83%

25

Oshinaike et al.2012

Nigeria

CC

208

IHDS≤10

MMSE=26

Consecutively 

100%

M & F

18-60 years

HAND=54.3%

113

Atashili et al.2013

Cameroon

CS

400

International HIV Dementia

Scale (IHDS)<10

 

Consecutively 

100%

M & F

18 to 55 years

HAND =85%

340

Bonnet et al.2013

France

Cohort

400

Neurocognitive  tests

Consecutively 

100%

M & F

≥18 years

 

HAND =58.5%

234

Simioni et al.2010

Belgium

Cohort 

200

International HIV Dementia

Scale (IHDS)<10

 

 

 

M & F

Median age of 46

(range 30.3–69.6) years.

HAND= 84%

168

Saini et al.2014

India

 cohort

80

International HIV Dementia

Scale (IHDS)<10

 

Randomly  selected

100%

21 to 50 years

HAND=32.50%

29

Webb et al.2016

Germany

Cohort 

480

International HIV Dementia

Scale (IHDS)≤10

 

 

M & F

19 to 80 years

HAND=43%

207

Yusuf et al.2017

Nigeria

CS

418

International HIV Dementia

Scale (IHDS) ≤ 9.5

 

100%

M & F

≥18 years

 

HAND =21.5%

90

McNamara et al.2016

Ireland

CS 

604

Weschler Adult Intelligence Scale

 

 

100%

M & F

>18 years

HAND =51.5%

311

Animut et al.2019

Ethiopia

CS

684

International HIV Dementia

Scale (IHDS) <9.5

Systematic random sampling method

98%

M & F

18 to 64 years

HAND =67.1%

459

 Muniyandi et al.2012

India

CS

33

International HIV Dementia

Scale (IHDS)<10

Consecutively

100%

M & F

25 to 50 years

HAND =63.6%

21

Mugendi et al.2019

Kenya

CS

345

International HIV Dementia

Scale (IHDS) <10

MOCA<26

Convenient sample

100%

M & F

Mean age=42 years (SD ± 9.5)

HAND =88%

304

Keys: ANI: Asymptomatic neurocognitive impairment, CC: case control, CD: Cognitive decline, CS: cross-sectional, F: female, GDS: global dementia scale, HAD: HIV associated dementia, HAND: HIV associated neurocognitive disorders, IHDS: International HIV Dementia Scale, II: Intellectual impairment, M: male, MMSE: Mini-mental state exam, MND: Mild neurocognitive disorders, MoCA: Montreal Cognitive Assessment, NA: Not available, NCI: Neurocognitive impairment, SNI: Symptomatic neurocognitive impairment, UK: United kingdom, USA: united states of America.

 

Table 2: A subgroup analysis of the prevalence of HIV associated neurocognitive disorders in HIV/AIDS patients based on random effect analysis

Subgroup 

Number of studies 

Estimates 

Heterogeneity 

Prevalence 

95% CI

I2

P-value

Country 

Africa 

21

49.566

41.342, 57.791

96.6%

P<0.001

Europe 

11

50.015

43.339, 56.691

46.6%

P=1.00

Asia 

6

52.032

34.46, 69.604

98%

P<0.001

USA

2

50.407

45.555, 55.258

100%

P<0.001

Assessment tools used 

IHDS< 9.5

6

36.883

21.196, 52.571

99.4%

P<0.001

IHDS< 10

14

59.956

49.985, 69.928

56.6%

P<0.05

Frascati criteria

3

53.5

36.457, 70.543

90.6%

P<0.001

ADC

2

27.65

-12.234, 67.536

99%

P<0.001

MMSE

2

41.349

30.080, 52.619

100%

P<0.001

GDS

3

40.766

31.995, 49.537

99.8%

P<0.001

MoCA

3

48.17

18.482, 77.852

0%

P=1.00

Others

7

55.75

45.851, 65.653

68%

P<0.05

Study design 

Cross-sectional 

28

49.52

43.490, 55.545

48.6%

P=1.00

Cohort 

10

54.087

45.087, 63.087

96%

P<0.001

Case control 

2

44.45

25.144, 63.756

94.8%

P<0.001

Keys:  IHDS: International HIV Dementia Scale, MMSE: Mini-mental state exam, MoCA: Montreal Cognitive Assessment, USA: united states of America.

 

Table 3: a sensitivity analysis of the prevalence of HIV associated neurocognitive disorders in HIV/AIDS patients when each indicated studies are omitted at a time with its 95% confidence interval.                               

No 

Study omitted

Estimated prevalence of HAND

[95%  Conf. Interval]

1

Lawler et al. 2010

48.55587

48.520576,48.591164

2

Pinheiro et al.2016

48.256584

48.220829, 48.292343

3

Elham et al.2020

48.443535

48.408272, 48.478798

4

Haddow et al.2012

48.594143

48.558952,48.629333

5

Kelly et al.2014

48.303158

48.267899, 48.338417

6

Yakasai et al.2015

48.511402

48.476162, 48.546646

7

Belete et al.2017

48.739456

48.703999, 48.77491

8

Araya et al.2020

49.037079

49.001163, 49.07299

9

Yitbarek et al.2019

48.732273

48.696697, 48.767849

10

Belete et al.2014

49.074566

49.038979, 49.110153

11

Debalkie et al.2019

47.50845

47.472431, 47.544464

12

Tsegaw et al.2017

49.017803

48.981865, 49.053738

13

Nyamayaro et al.2020 

48.478603

48.407894, 48.443249

14

Focà et al.2016

48.481682

48.446255,  48.517109

15

Pascal et al.2016

48.808884

48.773487, 48.844276

16

Awori et al.2018

48.145374

48.109974, 48.180775

17

Achappa  et al.2014

48.337997

48.302814,  48.37318

18

Sunmonu et al.2015

48.392574

48.357368, 48.427784

19

Robertson et al.2014 

50.478935

50.439026,  50.518841

20

Chan et al.2016

48.652199

48.616936,  48.687466

21

Cysique et al.2010

48.723553

48.688202,  48.7589

22

Harezlaket al.2011

48.468979

48.43346, 48.504494

23

Nakasujja et al.2012 

48.270924

48.235588,  48.306259

24

Robertson et al.2007 

46.92638

46.889656,  46.963104

25

Chan et al.2019

48.440395

48.40519,  48.475601

26

Kabuba et al.2016

48.73357

48.698093,  48.769051

27

Yechoor et al.2016

48.604374

48.568996, 48.639748

28

Nakku et al.2013

47.618401

47.582355,  47.654449

29

Troncoso et al.2015

48.415298

48.380005,  48.450592

30

Fasel et al.2014

48.41259

48.377434,  48.447746

31

Oshinaike et al.2012 

48.360401

48.324974,  48.395828

32

Atashili et al.2013

47.850132

47.814709,  47.885555

33

Bonnet et al.2013

48.135502

48.099808, 48.171196

34

Simioni et al.2010

48.149261

48.113976,  48.184547

35

Saini et al.2014

48.55426

48.519024, 48.589497

36

Webb et al.2016

48.673512

48.637695, 48.709328

37

Yusuf et al.2017

49.084835

49.049297, 49.120373

38

McNamara et al.2016

48.30397

48.267956, 48.339989

39

Muniyandi et al.2012 

48.421654

48.386478,  48.456829

40

Mugendi et al.2019

47.994511

47.959171,  48.02985

Key: HAND: HIV associated neurocognitive disorders       

 

Table 4:  Characteristics of associated factors for HIV associated neurocognitive disorders in HIV/AIDS patients by their Odds ratio, Confidence interval, association strength, author and year of publication.

Associated factors

Odds ratio(AOR)

95% CI

Strength of association

Author, year of publication

Age of 50 years and older

4.85

2.34, 10.03

Strong and positive

Pinheiro et al.2016

Less than eight years of education

6.72

3.98, 11.32

Strong and positive

Pinheiro et al.2016

Non-white skin color

1.71

1.04, 2.83

Moderate  and positive

Pinheiro et al.2016

Depression

1.96

1.12, 3.42

Moderate  and positive

Pinheiro et al.2016

Duration of HIV infection > 5 years 

3.1

1.70, 7.40

Strong and positive

Elham et al,2020

Low level of education 

1.2

1.04, 1.44

Weak and positive

Ahmad M. Yakasai et al,2015

Late clinical stage of the illness 

4.2

1.19,14.44

Strong and positive

Tilahun B et al, 2017

Impairment in the activity of daily living 

7.19

1.73, 21.83

Strong and positive

Tilahun B et al, 2017 

CD4 count of 500 cells/dl or less

2.368

1.524, 3.680

Moderate  and positive

Tsegaw et al, 2017

No formal education

4.287

2.619, 7.016

Strong and positive

Tsegaw et al, 2017

Poor medication adherence

1.487

1.010, 2.180

Weak and positive

Tsegaw et al, 2017

Older age

3.309

1.259, 8.701

Strong and positive

Tsegaw et al, 2017

6 to 10 Negative life events

2.14

1.45, 3.15

Moderate  and positive

Nakku et al. 2013

11 ad more Negative life events

2.35

1.33,4.13

Moderate  and positive

Nakku et al. 2013

Medium Stress Score index (score 1–10)

2.55

1.73, 3.77

Moderate  and positive

Nakku et al. 2013

High Stress Score index (score >10)

3.29

1.99, 5.45

Strong and positive

Nakku et al. 2013

Female gender 

2.66

1.22, 5.82

Moderate  and positive

Troncoso & Conterno 2015

Older age 

2.87

1.24, 6.64

Moderate  and positive

Troncoso & Conterno 2015

 

Table:  Characteristics of associated factors for HIV associated neurocognitive disorders in HIV/AIDS patients by their Odds ratio, Confidence interval, association strength, author and year of publication (continued).

Associated factors

Odds ratio(AOR)

95% CI

Strength of association

Author, year of publication

Co-morbid medical illness

2.56

1.17, 5.55

Moderate  and positive

Troncoso & Conterno 2015

CD4 count <200 cell/mm3

2.71

1.25, 5.86

Moderate  and positive

Troncoso & Conterno 2015

Highest prior VL >100,000 copies/ml

2.62

1.12, 6.16

Moderate  and positive

Troncoso & Conterno 2015

Low level of education 

8.33

3.85, 16.67

Strong and positive

Atashili et al. 2013

Having HIV symptoms

12.16

3.08, 48.05

Strong and positive

Atashili et al. 2013

Advanced AIDS stage

4.87

1.59, 14.90

Strong and positive

Bonnet et al.2013

Techniqual school level of education 

2.16

1.31,3.55

Moderate  and positive

Bonnet et al.2013

Lower than diploma level of education

3.39

1.48, 7.80

Strong and positive

Bonnet et al.2013

Generalized anxiety symptoms

2.99

1.67, 5.14

Strong and positive

Bonnet et al.2013

Depression symptoms 

2.11

1.23, 3.63

Moderate  and positive

Bonnet et al.2013

History of neurological disease

2.05

1.18, 3.58

Moderate  and positive

Bonnet et al.2013

African country of birth

11.075

4.94, 24.84

Strong and positive

McNamara et al 2016

Use of benzodiazepines

6.746

2.37, 19.18

Strong and positive

McNamara et al 2016

Unemployed

2.16

1.2, 3.84

Moderate  and positive

McNamara et al 2016

Body mass index< 16 kg/m2

4.39

1.60, 12.02

Strong and positive

Debalkie Animut M et al.2019

Unemployed status of occupation 

3.18

1.752, 5.777

Strong and positive

Debalkie Animut M et al.2019

Advanced stage of AIDS

3.56

1.406–9.006

Strong and positive

Debalkie Animut M et al.2019

 

Table:  Characteristics of associated factors for HIV associated neurocognitive disorders in HIV/AIDS patients by their Odds ratio, Confidence interval, association strength, author and year of publication (continued).

Associated factors

Odds ratio(AOR)

95% CI

Strength of association

Author, year of publication

Depression 

7.47

1.69, 43.53

Strong and positive

A. G. Mugendi et al.2019

Female gender 

2.17

1.02, 4.71

Moderate  and positive

A. G. Mugendi et al.2019

Older age 

3.1

1.3, 7.4

Strong and positive

Yitbarek et al.2019

Plasma HIV-1 RNA load between 1.7log10

and 3log10 copies/ml

2.2

1.1, 4.3

Moderate  and positive

Yitbarek et al.2019

Plasma HIV-1 RNA load ≥ 3log10 copies/ml 

7.5

2.6, 21.5

Strong and positive

Yitbarek et al.2019

Khat chewing

4.4

2.3, 8.3

Strong and positive

Yitbarek et al.2019

Advanced stage of AIDS

5.6

1.7, 19.2

Strong and positive

Yitbarek et al.2019

Having no education

3.11

1.37, 7.04

Strong and positive

T B Mossie et al 2014

Older age

4.25

1.05, 17.18

Strong and positive

T B Mossie et al 2014

Having co morbid opportunistic infection

7.48

4.1, 13.64

Strong and positive

T B Mossie et al 2014

Substance use

4.64

2.3, 9.36

Strong and positive

T B Mossie et al 2014

Having no education

5.16

2.20, 12.07

Strong and positive

Araya et al.2020

Primary education

3.29

1.46, 7.29

Strong and positive

Araya et al.2020

Having a CD4 count (cells/μl) ≤ 500

1.61

1.11, 2.39

Moderate  and positive

Araya et al.2020

Lifetime use of tobacco

2.4

1.44, 4.01

Moderate  and positive

Araya et al.2020

Key; AIDS: Acquired Immune deficiency Syndrome