| Literature DB >> 26834498 |
Nisha Andany1, V Logan Kennedy2, Muna Aden2, Mona Loutfy3.
Abstract
Since the implementation of effective combination antiretroviral therapy, HIV infection has been transformed from a life-threatening condition into a chronic disease. As people with HIV are living longer, aging and its associated manifestations have become key priorities as part of HIV care. For women with HIV, menopause is an important part of aging to consider. Women currently represent more than one half of HIV-positive individuals worldwide. Given the vast proportion of women living with HIV who are, and will be, transitioning through age-related life events, the interaction between HIV infection and menopause must be addressed by clinicians and researchers. Menopause is a major clinical event that is universally experienced by women, but affects each individual woman uniquely. This transitional time in women's lives has various clinical implications including physical and psychological symptoms, and accelerated development and progression of other age-related comorbidities, particularly cardiovascular disease, neurocognitive dysfunction, and bone mineral disease; all of which are potentially heightened by HIV or its treatment. Furthermore, within the context of HIV, there are the additional considerations of HIV acquisition and transmission risk, progression of infection, changes in antiretroviral pharmacokinetics, response, and toxicities. These menopausal manifestations and complications must be managed concurrently with HIV, while keeping in mind the potential influence of menopause on the prognosis of HIV infection itself. This results in additional complexity for clinicians caring for women living with HIV, and highlights the shifting paradigm in HIV care that must accompany this aging and evolving population.Entities:
Keywords: HIV; aging; menopause; women
Year: 2016 PMID: 26834498 PMCID: PMC4716718 DOI: 10.2147/IJWH.S62615
Source DB: PubMed Journal: Int J Womens Health ISSN: 1179-1411
Classification of menopausal states14,15,22
| Term | Definition |
|---|---|
| Natural menopause | Permanent cessation of menstruation resulting from a loss of ovarian follicular activity; diagnosis is made retrospectively after 12 months of amenorrhea in the absence of any other pathological or physiological cause |
| Perimenopause | The period immediately prior to menopause, when the endocrinological, biological, and clinical features of approaching menopause commence, and the first year after menopause |
| Premature menopause (or premature ovarian failure) | Menopause that occurs at an age less than two standard deviations below the mean established for the reference population; generally, refers to menopause prior to the age of 40 years |
| Induced menopause | Cessation of menstruation that follows either surgical removal of both ovaries (with or without hysterectomy) or iatrogenic ablation of ovarian function (including chemotherapy or radiation therapy) |
Figure 1The stages of the menopausal transition in women.
Notes: **Approximate expected level based on assays using current international pituitary standard. From Harlow SD, Gass M, Hall JE, et al. Executive summary of the stages of reproductive aging workshop +10: addressing the unfinished agenda of staging reproductive aging. Menopause. 2012;19(4):387–395.21 With permission from Wolters Kluwer Health, Inc. Copyright ©2012.
Abbreviations: FSH, follicle-stimulating hormone; FMP, final menstrual period; AMH, anti-Mullerian hormone.
Summary of studies assessing age of menopause in women with HIV
| Authors | Study design | Location | Population | Menopause definition | Findings |
|---|---|---|---|---|---|
| Clark et al | Cross-sectional | USA | 52 HIV-positive women ≥40 years with adequate menopausal information; 50% postmenopausal | • FSH >35 mU/mL or | Mean age of menopause was 47 years (range 32–57 years) |
| • Self-report of amenorrhea >6 months with age ≥55 years or | |||||
| • Investigator’s diagnosis | |||||
| Schoenbaum et al | Cross-sectional | USA | 571 women | Self-report of amenorrhea >12 months | HIV independently associated with risk of menopause (OR 1.73) |
| Among those with HIV, having a CD4 count >500 (OR 0.191) or CD4 200–500 (OR 0.346) associated with decreased risk of menopause | |||||
| In HIV-positive women: | |||||
| • median age of menopause was 46 years (IQR 39–49 years) | |||||
| • 26% had early menopause | |||||
| In HIV-negative women: | |||||
| • median age of menopause was 47 years (IQR 44.5–48 years) | |||||
| • 10% had early menopause | |||||
| Boonyanurak et al | Cross-sectional | Thailand | 268 HIV-positive women ≥40 years of age; 20.5% women postmenopausal | Self-report of amenorrhea >12 months | Mean age of menopause was 47.3 years (SD 5.1 years); this was 2.2 years earlier than the mean age of menopause in general population in Thailand of 49.5 years (SD 3.1 years) |
| Calvet et al | Prospective cohortstudy | Brazil | 667 HIV-positive women ≥30 years of age who were followed for a median of 5 years | Self-report of amenorrhea >12 months | Natural menopause occurred in 132/667 women during follow-up: |
| • median age of menopause was 48 years (IQR 45–50 years) | |||||
| • 27% had early menopause (<45 years) | |||||
| • 2.3% had premature menopause (<40 years) | |||||
| Early natural menopause associated with: | |||||
| • early menarche (HR 2.70) | |||||
| • smoking (HR 3.00) | |||||
| • HCV coinfection (HR 6.26) | |||||
| • CD4 count <50 (HR 6.64) | |||||
| Fantry et al | Cross-sectional | USA | 120 HIV-positive women ≥40 years of age; 25% postmenopausal | Self-report of amenorrhea >12 months | Median age of menopause was 50 years (95% CI 49–53 years) |
| • 20% had early menopause (40–45 years) | |||||
| • 35% had premature menopause (<40 years) | |||||
| Cejtin et al | Cross-sectional evaluation of data collected from the prospective Women’s Interagency Health Study (WIHS) | USA | 1,431 women ≤55 years of age | Self-report of no menstrual period on 2 sequential visits with elevated FSH (>25 mIU/mL) | Median age of menopause was 47 years (range 35–55 years) (no difference between HIV-positive and HIV-negative women) |
| In HIV-positive women, no association of menopause with CD4 count, virologic suppression, AIDS-defining illness or ART | |||||
| Ferreira et al | Cross-sectional | Brazil | 96 HIV-positive and 155 HIV-negative women ≥40 years of age | Self-report of amenorrhea >12 months | Median age of menopause in HIV-positive women was 47.5 years |
| de Pommerol et al | Prospective cohort study | France | 404 HIV-positive women, followed for a median of 8.8 years; 24.3% postmenopausal | Self-report of amenorrhea >12 months | 24.3% were postmenopausal with median age of menopause of 49 years (IQR 40–50 years) |
| • 22% had early menopause (40–45 years) | |||||
| • 12% had premature menopause (<40 years) | |||||
| Earlier onset of menopause associated with: | |||||
| • African–American ethnicity (HR 8.16) | |||||
| • injection drug use (HR 2.46) | |||||
| No association with smoking, ART, nadir CD4, or AIDS-defining illness |
Abbreviations: HR, hazard ratio; OR, odds ratio; HCV, hepatitis C virus; ART, antiretroviral therapy; FSH, follicle-stimulating hormone; SD, standard deviation; CI, confidence interval; IQR, interquartile range.
Summary of studies assessing menopausal symptoms in women with HIV
| Authors | Study design | Location | Population | Findings |
|---|---|---|---|---|
| Clark et al | Cross-sectional | USA | 52 HIV-positive women ≥40 years with adequate menopausal information; 50% postmenopausal | In HIV-positive menopausal women, higher CD4 count associated with increased prevalence of hot flashes: |
| Fantry et al | Cross-sectional | USA | 120 HIV-positive women ≥40 years of age; 25% postmenopausal | Postmenopausal HIV-positive woman had higher rates of: |
| Miller et al | Cross-sectional | USA | 289 HIV-positive and 247 HIV-negative women | 96% of all women had at least 1 menopausal symptom |
| Ferreira et al | Cross-sectional | Brazil | 96 HIV-positive and 155 HIV-negative women ≥40 years of age | HIV infection independently associated with menopausal symptoms (OR 1.65) |
| Boonyanurak et al | Cross-sectional | Thailand | 268 HIV-positive women ≥40 years of age; 20.5% women postmenopausal | In HIV-positive women, menopausal status was associated with: |
| Looby et al | Cross-sectional | USA | 33 HIV-positive women and 33 | HIV-positive women had greater severity of hot flashes compared to HIV-negative women ( |
| Johnson et al | Cross-sectional | USA | 150 HIV-positive women and 128 | No difference in prevalence of hot flashes or vaginal dryness based on HIV status |
| Lui-Filho et al | Cross-sectional | Brazil | 273 HIV-positive and 264 HIV-negative women aged 40–60 years of age | HIV sero-status not associated with menopausal symptoms (either vasomotor or psychological symptoms) |
| Maki et al | Cross-sectional evaluation of data collected from the prospective Women’s Interagency Health Study (WIHS) | USA | 835 HIV-positive and 335 HIV-negative women aged 30–65 years | Prevalence of depressive symptoms did not differ between HIV-positive and HIV-negative women |
| Rubin et al | Cross-sectional | USA | 708 HIV-positive and 278 HIV-negative women aged 30–65 years | No difference in menopausal symptoms between HIV-positive and HIV-negative women (trend to HIV-positive having more sleep disturbances than HIV-negative [ |
| Sorlini et al | Cross-sectional | Italy | 20 HIV-positive and 21 HIV-negative women ≥65 years | No difference in depression between HIV-positive and HIV-negative women |
Abbreviations: OR, odds ratio; ART, antiretroviral therapy.
Summary of studies assessing bone mineral density (BMD) and osteoporosis in women with HIV and menopause
| Authors | Study design | Location | Population | Findings |
|---|---|---|---|---|
| Yin et al | Cross-sectional | USA | 31 HIV-positive postmenopausal women compared to 186 historical-matched (age, ethnicity) HIV-negative controls | Mean BMD lower in HIV-positive group vs controls |
| Prevalence of osteoporosis 42% (vs 23%) at lumbar spine ( | ||||
| Prevalence of osteoporosis 10% (vs 1%) at total hip ( | ||||
| Correlates of low BMD were: | ||||
| Years since menopause ( | ||||
| Lowest weight ( | ||||
| No association with duration of HIV infection, ART, CD4 count | ||||
| Arnsten et al | Cross-sectional | USA | 263 HIV-positive and 232 HIV-negative women ≥40 years of age | HIV-positive women had lower BMD at femoral neck ( |
| HIV was an independent predictor of low BMD (especially in non-Black women) | ||||
| CD4 count, ART and use of PIs not associated with low BMD | ||||
| Anastos et al | Cross-sectional | USA | 274 HIV-positive and 152 HIV-negative women | Prevalence of low BMD was higher in ART-naïve HIV-positive women compared to HIV-negative women (OR 4.36), indicating an independent association with HIV infection |
| Prevalence of low BMD higher in women receiving PI-therapy (OR 3.72) compared to HIV-negative women | ||||
| PI-based ART associated with lower BMD than non-PI-ART ( | ||||
| Longer lopinavir use correlated with lower BMD ( | ||||
| Yin et al | Cross-sectional analysis of data from a prospective cohort study | USA | 92 HIV-positive and 95 HIV-negative women ≥40 years of age who were postmenopausal and not on hormone therapy | HIV-positive women were more likely to have low BMD at lumbar spine, femoral neck and total hip |
| BMD was 5.9% lower in HIV-positive vs HIV-negative women at the total hip | ||||
| HIV was an independent predictor of BMD at the lumbar spine and total hip | ||||
| No difference between HIV-positive and HIV-negative for fragility fractures | ||||
| No difference by ART status | ||||
| Yin et al | Cross-sectional analysis of data from a prospective cohort study | USA | 92 HIV-positive and 95 HIV-negative women ≥40 years of age who were postmenopausal and not on hormone therapy | HIV-positive women had increased bone turnover markers compared to HIV-negative women |
| No difference between: | ||||
| ART vs no ART | ||||
| Ritonavir vs no ritonavir in ART regimen | ||||
| Greater induction of peripheral blood mononuclear cells into osteoclast-like cells when exposed to autologous HIV-positive serum (vs HIV-negative) and serum containing ritonavir (vs non-ritonavir-based ART) | ||||
| Pinto Neto et al | Cross-sectional | Brazil | 300 HIV-positive patients with median age 46 years (57.7% male and 42.3% female) | Low BMD in 54.7% of patients (95% CI 49.1%–60.3%) |
| Independent predictors of low BMD were: | ||||
| BMI <25 kg/m2 (OR 2.9) | ||||
| Menopause (OR 13.4) | ||||
| Undetectable viral load (OR 7.9) | ||||
| Zidovudine use (OR 0.2) and nevirapine use (OR 0.1) were protective against low BMD | ||||
| Sharma et al | Longitudinal | USA | 245 HIV-positive and 219 HIV-negative women | HIV-positive women had lower baseline BMD at femoral neck ( |
| No difference between HIV-positive and HIV-negative women in rate of BMD decline over time | ||||
| Also no difference in BMD decline between: | ||||
| Tenofovir vs no tenofovir use | ||||
| PI vs no-PI use | ||||
| In multivariate analysis, menopause and chronic HCV infection associated with greater decline in BMD | ||||
| Gomes et al | Cross-sectional | Brazil | 273 HIV-positive women aged 40–60 years; 206/273 answered questions related to study | 33.5% had low BMD at lumbar spine and 33.1% at femoral neck |
| Low BMD at lumbar spine and femoral neck associated with: | ||||
| Age >50 years ( | ||||
| Menopause ( | ||||
| Increased FSH >40 mIU/mL ( | ||||
| Menopause associated with 23-fold increased risk of low BMD at lumbar spine ( | ||||
| No association between low BMD and smoking, alcohol, nadir CD4 count, viral load, tenofovir use, protease inhibitors, or duration of HIV infection | ||||
| Dravid et al | Cross-sectional | India | 536 HIV-positive patients (66% men and 34% women) with median age 42 years | In ART-naïve patients: |
| 67% had low BMD and 29.6% had osteoporosis | ||||
| In ART-experienced patients: | ||||
| 80.4% had low BMD and 36.6% had osteoporosis | ||||
| Low BMD associated with: | ||||
| Increased age ( | ||||
| Reduced BMI ( | ||||
| Smoking ( | ||||
| Menopause ( | ||||
| Prior et al | Case-control | Canada | 138 HIV-positive women and 402 HIV-negative controls matched for age and geographic region | HIV-positive women more likely to have other osteoporosis risk factors such as smoking, menstrual irregularity, weight loss, glucocorticoid use |
| No difference in BMD between HIV-positive and HIV-negative women | ||||
| HIV-positive cases had higher rates of lifetime fragility fractures compared to HIV-negative controls (26.1% vs 17.7%, OR 1.7); however, HIV status itself not associated with fracture in multivariable analysis when other osteoporosis risk factors taken into account | ||||
| Yin et al | Prospective cohort study – Women’s Interagency Health Study (WIHS) | USA | 1,728 HIV-positive and 663 HIV-negative women followed for median 5.4 years | One-third of new fractures were fragility fractures |
| No difference between HIV-positive and HIV-negative women in history of self-reported fracture | ||||
| In multivariate analysis, new fracture was associated with older age, white race, HCV infection, and increased creatinine, but not HIV status | ||||
| In HIV-positive patients, older age, white race, smoking, and history of ADI were associated with new fracture, while NNRTIs were slightly protective (OR 0.92); there was no association with ART, CD4 count or cumulative tenofovir exposure |
Abbreviations: ART, antiretroviral therapy; BMI, body mass index; PI, protease inhibitor; HCV, hepatitis C virus; IDU, injection drug use; FSH, follicle-stimulating hormone; OR, odds ratio; BMD, bone mineral density; CI, confidence interval; LS, lumbar spine; FN, femoral neck; ADI, AIDS-defining illness; NNRTI, non-nucleoside reverse transcriptase inhibitor.
Guidelines for assessment of BMD in patients with HIV
| Source and location | Year of publication | Recommendations for screening |
|---|---|---|
| Brown et al. Recommendations for evaluation and management of bone disease in HIV. | 2015 | It is appropriate to assess all HIV-positive patients for risk of low BMD and fragility fracture |
| All patients >50 years of age should have height assessment every 1–2 years | ||
| BMD assessment with DEXA-scan is recommended for: | ||
| All patients who have a major risk factor for osteoporosis | ||
| Postmenopausal women | ||
| Men ≥50 years of age | ||
| Previous fragility fracture | ||
| Glucocorticoid use at dose ≥ equivalent of prednisone 5 mg/day for >3 months | ||
| High falls risk | ||
| All other patients should be assessed for osteoporosis risk based on age-specific recommendations: | ||
| Assessment with comprehensive clinical tool (such as the FRAXb) is suggested for: | ||
| Premenopausal women >40 years of age | ||
| Men 40–49 years of age | ||
| Some experts suggest those with HIV should be considered to have a secondary cause of osteoporosis when utilizing the FRAX tool | ||
| Those who have an intermediate to high risk of fracture on FRAX should go on to have DEXA scan | ||
| No screening required for those <40 years of age unless other risk factors (as mentioned earlier) are present | ||
| Aberg et al. Infectious Diseases Society of America. Primary care guidelines for the management of persons infected with HIV: 2013 update by the HIV Medicine Association of the Infectious Diseases Society of America. | 2013 | Baseline bone densitometry (DEXA) screening is recommended for: |
| Postmenopausal women | ||
| Men ≥50 years of age | ||
| Asboe et al. British HIV Association guidelines for the routine investigation and monitoring of adult HIV-1-infected individuals, 2011. | 2011 | Assess patients for risk factors for reduced BMD (eg, with FRAX) at: |
| Initial HIV diagnosis | ||
| Prior to initiation of ART | ||
| Reassess these risk factors every 3 years when on ART and for those ≥50 years of age | ||
| BMD assessment (usually with DEXA) should be performed for: | ||
| Men ≥70 years of age | ||
| Women ≥65 years of age | ||
| Consider DEXA in men and women ≥50 years of age if intermediate to high risk FRAX or other risk factors | ||
| European AIDS Clinical Society. EACS Guidelines Version 7.1. EACS; 2014. | 2014 | Consider all patients for classic risk factors |
| Measure 25(OH) vitamin D in all persons at presentation | ||
| Consider DEXA for patients with ≥1 of the following (preferably before ART initiation): | ||
| Postmenopausal women | ||
| Men ≥50 years of age | ||
| History of low-impact fracture | ||
| High falls risk | ||
| Clinical hypogonadism | ||
| Oral glucocorticoid use at dose ≥ equivalent of prednisone 5 mg/day for >3 months | ||
| Assess effect of risk factors by including DEXA results into FRAX | ||
| Do not use for those <40 years of age | ||
| Consider using HIV as a cause of secondary osteoporosis |
Notes:
Reproduced from Brown TT, Hoy J, Borderi M, et al. Recommendations for evaluation and management of bone disease in HIV. Clin Infect Dis. 2015;60(8):1242–1251,131 by permission of Oxford University Press. Copyright ©2015.
FRAX: World Health Organization Fracture Risk Assessment Tool: https://www.shef.ac.uk/FRAX/tool.jsp; Use country-specific FRAX algorithm; consider checking off box for “secondary osteoporosis” in patients with HIV (expert opinion).131
Additional risk factors include HIV or related risk factors, such as increased duration of HIV infection, low nadir CD4 count and hepatitis virus co-infection.
Classic risk factors include older age, female sex, hypogonadism, family history of hip fracture, low BMI (<19 kg/m2), vitamin D deficiency, smoking, physical inactivity, history of low-impact fracture, alcohol excess, steroid exposure (equivalent to ≥5 mg prednisone per day for >3 months).
Using Falls Risk Assessment Tool: www.health.vic.gov.au/agedcare/maintaining/falls/downloads/ph_frat.pdf.
Abbreviations: ART, antiretroviral therapy; DEXA, dual-energy X-ray absorptiometry; FRAX, Fracture Risk Assessment Tool; BMD, bone mineral density; BMI, body mass index.
Interpretation of fracture risk assessment and DEXA scores in assessment of bone disease
| Source | Result | Interpretation |
|---|---|---|
| Risk of Fracture | ≤10% risk of major osteoporotic fracture in 10 years | Low risk |
| 10%–20% risk of major osteoporotic fracture in 10 years | Moderate risk | |
| ≥20% risk of major osteoporotic fracture in 10 years and/or ≥3% risk of hip fracture | High risk | |
| DEXA scan | T-score. −1.0 | Within normal limits |
| T-score ≤−1.0 but. −2.5 | Osteopenia | |
| T-score ≤−2.5 | Osteoporosis |
Notes:
Based on a validated clinical tool such as the FRAX182 or the Canadian Association of Radiologists and Osteoporosis Canada (CAROC) tool.123
Use T-scores for postmenopausal women and men aged ≥50 years; use z scores for patients aged <50 years; based on the femoral neck score.124 Reproduced from Brown TT, Hoy J, Borderi M, et al. Recommendations for evaluation and management of bone disease in HIV. Clin Infect Dis. 2015;60(8):1242–1251,131 by permission of Oxford University Press. Copyright ©2015.
Abbreviations: FRAX, Fracture Risk Assessment Tool; DEXA, dual-energy X-ray absorptiometry.
2015 Guidelines for management of bone disease in patients with HIV
| Source | Year of publication | Patient population | Recommendation for repeat screening | Recommendations for management |
|---|---|---|---|---|
| Brown et al. Recommendations for evaluation and management of bone disease in HIV. | 2015 | Patients younger than 40 years | No routine screening suggested; assess when develop major risk factor or become >40 years of age | All patients: |
| Patients aged 40–50 years with a low 10-year fracture risk based on FRAX (no DEXA required) | Monitor FRAX every 2–3 years | |||
| Patients with moderate 10-year fracture risk: | Repeat DEXA in 1–2 years if advanced osteopenia (T-score between −2.00 and −2.49) | |||
| Patients with clinical osteoporosis: | Repeat DEXA in 2 years | Exclude secondary causes of osteoporosis |
Notes:
≥20% risk of major osteoporotic fracture in 10 years and/or ≥3% risk of hip fracture (with or without incorporation of BMD result); based on validated clinical tool such as the FRAX.
Check vitamin D levels in those with low BMD or previous fracture or risk factors for vitamin D deficiency (dark skin, sun avoidance, malabsorption, obesity, chronic kidney disease, or on treatment with efavirenz); supplemental vitamin D if deficient and target level >30 μg/L.
Secondary causes of osteoporosis include: type 1 diabetes mellitus, osteogenesis imperfecta in adults, untreated long-standing hyperthyroidism, hypogonadism, or premature menopause (<45 years), chronic malnutrition, malabsorption, and chronic liver disease. Reproduced from Brown TT, Hoy J, Borderi M, et al. Recommendations for evaluation and management of bone disease in HIV. Clin Infect Dis. 2015;60(8):1242–1251,131 by permission of Oxford University Press. Copyright ©2015.
Abbreviations: BMD, bone mineral density; ART, antiretroviral therapy; PIs, protease inhibitors; TDF, tenofovir disoproxil fumarate (Viread®); FN, femoral neck; TH, total hip; LS, lumbar spine; FRAX, Fracture Risk Assessment Tool; DEXA, dual-energy X-ray absorptiometry.