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Revista chilena de nutrición

On-line version ISSN 0717-7518

Rev. chil. nutr. vol.47 no.3 Santiago June 2020

http://dx.doi.org/10.4067/S0717-75182020000300430 

Original Article

Sarcopenia and consumptive syndrome in HIV-infected patients receiving antiretroviral therapy in a public hospital in Northeast Brazil

Sarcopenia y síndrome de emaciación en pacientes infectados por el HIV que reciben terapia antiretroviral en un hospital público en el noreste Brasil

Luciana Caroline Paulino do Nascimento*  1  4 

Eryka Maria dos Santos2 

Lídia Laís  Gomes Silva3 

Claudia Porto  Sabino Pinho4 

1Department of Nutrition, Federal University of Paraíba, João Pessoa, PB, Brazil

2Department of Surgery, Federal University of Pernambuco, Recife, PE, Brazil

3Department of Nutrition, Federal University of Pernambuco, Recife, PE, Brazil.

4Clinical Hospital, Federal University of Pernambuco, Recife, PE, Brazil.

ABSTRACT

We evaluated the prevalence of sarcopenia and wasting syndrome, as well as the associated factors in HIV-infected patients receiving antiretroviral therapy. We utilized a cross-sectional study evaluating HIV-infected individuals at a university hospital in the Northeast area of Brazil. In 99 patients, sarcopenia was assessed by analysis of muscle mass, muscle strength and physical performance. Wasting syndrome was assessed by unintentional weight loss criteria. Demographic, socioeconomic, anthropometric, as well as clinical and lifestyle variables were also evaluated. The prevalence of sarcopenia in this sample was 18.2% and 33.3% presented severe sarcopenia. Wasting syndrome was identified in 13.1% and 4% presented both conditions. Sarcopenia had higher prevalence in older patients (80.0 vs 4.9%, p= 0.004), among those with diabetes mellitus (50.0 vs 16.1%, p= 0.037), as well as among malnourished individuals (p= 0.003). Wasting syndrome was more prevalent in individuals with a lower level of education (26.3%vs5.4%, p= 0.005), in the lower income tertile (p= 0.041), and a lower CD4+ T cell count (429±450 vs 654±321 cells/mm3, p= 0.045). Sarcopenia and wasting syndrome are still clinical problems present in those using antiretroviral therapy associated with specific conditions in HIV patients.

Keywords: HIV; Malnutrition; Sarcopenia; Wasting syndrome

RESUMEN

Se evaluó la prevalencia de la sarcopenia, síndrome de emanciación y factores asociados en pacientes infectados por HIV que recibieron terapia antirretroviral. En la evaluación de las personas infectadas por el HIV se aplicó un diseño de tipo transversal y fue realizado en un hospital universitario en la zona noreste del Brasil. La sarcopenia se evaluó mediante la medición de la masa muscular, la fuerza muscular y el rendimiento físico. El síndrome de emanciación se evaluó mediante criterios de pérdida de peso involuntarios. También se evaluaron las características demográficas, socioeconómicas, antropométricas, así como las variables clínicas y de estilo de vida. La prevalencia de sarcopenia en esta muestra de pacientes fue del 18,2%, y de esta población un tercio presentó sarcopenia grave. El síndrome de emanciación se identificó en el 13,1% de los pacientes y en el 4% de los sujetos que presentaron ambas condiciones. La sarcopenia tenía mayor prevalencia en pacientes de mayor edad (80,0 vs 4,9%, p= 0,004), en las personas con diabetes mellitus (50,0 vs 16,1%, p= 0,037), así como en sujetos desnutridos (p= 0,003). El síndrome de emanciación fue más prevalente en sujetos con un nivel más bajo de educación (26,3% vs 5,4%, p= 0,005), menor tercil de ingresos (p= 0,041), y menor recuento de células TCD4+ (429±450 vs 654±321 células/mm3, p= 0,045). Sarcopenia y síndrome de emanciación son todavía problemas clínicos presentes en aquellos que utilizan la terapia antirretroviral asociada con condiciones específicas en pacientes con HIV.

Palabras clave: Desnutrición; HIV; Sarcopenia; Síndrome de emanciación

INTRODUCTION

Medical complications associated with Acquired Immune Deficiency Syndrome (AIDS) have been considerably reduced since the utilization of antiretroviral therapy (ART) in Human Immunodeficiency Virus (HIV) and AIDS positive patients. The use of ART has contributed to reduction in mortality indexes and has also improved quality of life in patients affected by this devastating disease1. However, patients affected by AIDS commonly present several chronic complications. These complications, including cardiovascular, renal, hepatic and bone diseases are commonly associated with aging2. Additionally, evidence indicates that weight loss and muscle mass deterioration both continue to contribute to significant complications. These complications can be observed even in populations who have access to specific and potent therapy3.

Nutritional changes are commonly observed among individuals infected with HIV4,5. This effect is related to decreased appetite, insufficient energy intake and ‘increased energy expenditure at rest’ observed in HIV-positive patients. In addition, these metabolic changes can contribute to the loss of muscle mass, which is often associated with loss of strength and / or functionality, causing sarcopenia6. It is noteworthy to mention that sarcopenia can lead to a greater risk of physical disability, poor quality of life, as well as greater morbidity and mortality indexes7,8,9. Recent research protocols have reported that HIV patients who regularly use ART can represent a group at high-risk for the development of sarcopenia10,11.

Furthermore, HIV-associated wasting syndrome can be a debilitating and fatal complication12. This HIV-associated syndrome is characterized by total weight loss; i.e. loss of both lean and fat mass. Although there is a decrease in wasting syndrome after starting ART, this syndrome remains a concern for the patients affected by the virus13,14. For instance, Wheeler et al showed an increased risk of death in HIV-infected patients with progressive weight loss15, as well as long-term functional impairment even after recovery of nutritional status16.

Even though both sarcopenia and wasting syndrome can compromise quality of life and increase morbidity and mortality indexes of HIV patients17, there are few studies describing the magnitude of the physiological changes caused by these conditions in HIV patients. Additionally, there is a lack of data regarding the physiological actions of sarcopenia and wasting syndrome in HIV patients who use ART. Therefore, the present study evaluates the prevalence of sarcopenia and wasting syndrome, as well as associated factors in HIV patients who also received ART in a outpatient clinic.

METHODS

A cross-sectional observational study was carried out from March to June 2017 at the Parasitic Infectious Diseases outpatient clinic of a university hospital in Recife, Brazil. All male and female patients were 18 years of age and older. In order to participate in the study protocol, patients could not present any physical deficiencies or conditions that would compromise their ability to perform the tests and evaluation required by this present study. Data were collected during medical visits.

The sample size was calculated considering a prevalence of sarcopenia of 35%, obtained in a previous pilot study, and a standard error of 5%. Thus, the calculated sample size obtained was of at least 87 individuals, which was increased by 15%, totaling 101 patients.

Sarcopenia was determined as proposed by Cruz-Jentoft et al9. The diagnosis was made if there was a significant reduction of their muscle mass and a reduction of strength and/or reduction of physical performance. The measurement of muscle mass was assessed by arm muscle circumference (AMC). Muscle mass was considered of low mass when AMC values were lower than the 10th percentile for age and sex18.

Muscle strength was measured via hand grip strength (HGS) in triplicate using a JAMAR® digital dynamometer. Muscle strength was determined to be low by definition of the sex and BMI cut-off points described by Cruz-Jentoft et al9. Physical performance was evaluated through the gait speed test (GST). This test was performed in duplicate according to the model proposed by the International Academy on Nutrition and Aging (IANA)19. Participants were instructed to walk by maintaining their usual pace through a 4-meter course. For each participant, the course performed in the shortest period of time was adopted as their baseline reference. Gait speed was considered slow at <0.8 meters / second. Sarcopenia was classified as pre-sarcopenia (non-sarcopenia, but displaying reduced muscle mass), sarcopenia (reduction of muscle mass associated with reduced strength and / or reduced physical performance) and severe sarcopenia (when all 3 conditions were found).

Wasting syndrome was assessed according to unintentional weight loss reported by the patient and was diagnosed when the patient had one of the following criteria: unintentional weight loss of 10% in 12 months or unintentional weight loss of 7.5% in 6 months, or unintentional weight loss > 5% in 3 months20.

In addition, a number of clinical variables were evaluated. For instance, the period of time since HIV diagnosis (in months), the length of time taking ART treatment (in months), viral load (categorized as detectable and undetectable), and number of CD4 + T cells (≤350 and> 350 cells / mm3). Additionally, the occurrence of diabetes mellitus (DM), chronic kidney disease (CKD), and the presence of anemia, fatigue and anorexia were also evaluated. The Dutch Fatigue Scale (DUFS) (a self-report scale) was used to evaluate fatigue. Briefly, the DUFS scale measures fatigue as an “oppressive and sustained feeling of exhaustion and diminished ability to perform physical and mental work at the usual level”21. This scale is composed of 8 items with Likert responses of up to 5 points (1 to 5 points). The presence of fatigue was defined when the total score was greater than or equal to 14.522. In addition, the evaluation of anorexia was performed using the Simplified Nutritional Questionnaire of Appetite (SNAQ). The range of values in this questionnaire can vary from 4 to 20. Values ≤14 were considered to indicate the presence of anorexia23.

Lifestyle analysis included assessment of three aspects. First, alcohol intake was categorized as yes or no for alcohol consumption in the last 30 days. Second, smoking was determined as smokers, non-smokers, and former smokers. Lastly, the level of physical activity was evaluated by the International Physical Activity Questionnaire (IPAQ) 2001. This questionnaire takes into account four levels of physical activity: leisure, domestic activities, occupational activities and activities related to displacement. These levels of activity can be classified as sedentary, irregularly active, active and very active24. For analytical purposes, the level of physical activity was dichotomized into sufficiently active (active and very active) and insufficiently active (sedentary and irregularly active).

Patients’ nutritional state was evaluated according to individual Body Mass Index (BMI), obtained from the quotient between Weight (kg) and height (m)². Adults were evaluated according to the World Health Organization25 and elderly participants were evaluated according to the cut points proposed by Lipschitz26.

Collected data were entered into Microsoft Office Excel 2010 and imported into SPSS statistical software version 13.0 (SPSS Inc., Chicago, IL, USA). All continuous variables were tested for normality of distribution using the Kolmogorov Smirnov test. When presenting normal distribution patterns, data were described with means and standard deviations and, the respective parametric test was applied (Student's “t”). If the data presented a non-normal distribution (time since HIV diagnosis and time using ART treatment), data were described as median and interquartile range (IQ). In this case, the non-parametric “U” test of Mann Whitney was used to evaluate the data. Qualitative variables were described in proportions and compared using Pearson's Chi-square test or Fisher's exact test. The results were considered significant when p <0.05.

The current research protocol was approved by the Research Ethics Committee involving human, according to Resolution 466/2012 of the National Health Council. The registration number of the research protocol is CAAE: 62327716.0.0000.5208, and the collection of data was initiated after the participants signed the Free and Clarified Consent Term (FCCT).

RESULTS

A total of 101 eligible patients were included in the initial sample. However, the final sample was composed of 99 patients, after excluding for inconsistent information. The mean age of participants was 41 ± 11 years, with a predominance of males (67.7%). The median time since HIV diagnosis was 60 months (IQ: 24-132) and the time since beginning ART treatment was 48 months (IQ: 20-108). Regarding the clinical variables analyzed, viral load was undetectable in 57% of the patients and the CD4 + T cell count was >350 cells/mm3 in 76.3%. Anemia (17.2%), hypertension (12%), DM (6.1%) and CKD (5.1%) were the most prevalent clinical parameters. About 60% of the patients presented fatigue and 19.2% presented anorexia. Regarding lifestyle variables, it was observed that 46.9% of patients consumed alcoholic beverages, 19.2% were smokers and 68.7% were sufficiently active (Table 1).

Table 1 Demographic, socioeconomic, clinical and lifestyle characterization of HIV-infected patients using antiretroviral therapy (ART), 2017 (n= 99). 

Variables N %
Socio-demographic variables
Sex
Male 67 67.7
Female 32 32.3
Age Category
Adult 94 94.9
Elderly 05 5.1
Education (years of study)
≤9 years 38 40.4
>9 years 56 59.6
Family income per capita (in real)
1st tertile (>333.33) 27 28.1
2nd tertile (333.33-1000.00) 52 54.2
3rd tertile (>1000.00) 17 17.7
Clinical Variables Viral Load
Indetectable 45 57.7
Detectable 33 42.3
CD4+T (cells/mm3)
≤350 19 23.8
>350 61 76.3
Systemic Arterial Hypertension (SAH) 12 12.1
Diabetes Mellitus (DM) 6 6.1
Chronic Kidney Disease(CKD) 5 5.1
Anemia 15 17.2
Fatigue 60 60.0
Anorexia 19 19.2
Lifestyle
Consumption of Alcoholic Beverages 46 46.9
Smoking
Smoker 19 19.2
Non-smoking 60 60.6
Former smoker 20 20.2
Level of Physical Activity
Sufficient active 68 68.7
Insufficiently active 31 31.3

Undernutrition and overweight were observed in 8.2% and 47.5% patients, respectively. Based on the diagnostic criteria for sarcopenia, 18.2% presented with sarcopenia, and of this population, 33.3% presented with severe sarcopenia. Among non-sarcopenic patients, 16% had pre-sarcopenia. When analyzing sarcopenia criteria separately, we observed that there is a presence of three components (i.e. physical performance, mass and muscle strength) involved in the diagnosis of sarcopenia. The presence of these three components was relatively similar among participants (about 30%). Unintentional weight loss was reported by 23.2% of the patients, but wasting syndrome was only identified in 13.1% of these patients (Table 2). Sarcopenia and wasting syndrome were both observed in 4% of the patients.

Table 2 Nutritional variables, sarcopenia and wasting syndrome in HIV-infected patients using antiretroviral therapy (ART), 2017 (n= 99). 

Variable n %
Nutritional status (BMI)
Undernutrition 8 8.2
Eutrophy 43 43.4
Overweight 47 47.5
Sarcopenia
Yes 18 18.2
No 81 81.8
Sarcopenia classification
Sarcopenia 12 66.7
Severe Sarcopenia 6 33.3
Not sarcopenia classification
No sarcopenia 68 84.0
Pre-sarcopenia 13 16.0
Diagnostic Components of Sarcopenia
Low muscle massaa 31 31.3
Low muscle strengthb 33 33.3
Low physical performancec 29 29.9
Unintentional weight loss 23 23.2
Wasting syndromed 13 13.1

BMI: Body Mass Index.

aAccording to Muscular Circumference of the Arm;

bAccording to palmar grip strength;

cAccording to Speed test;

dAccording to unintentional weight loss of 10% in 12 months or unintentional weight loss of 7.5% in 6 months or unintentional weight loss> 5% in 3 months.

When evaluating the association of sarcopenia with demographic, socioeconomic, clinical and lifestyle variables, we observed that this condition was more prevalent in the elderly population (80.0 vs 14.9%, p= 0.004), in patients with DM (50.0 vs 16.1%, p= 0.037), and malnourished patients (p= 0.003). We did not observe an association between sarcopenia and other clinical variables, with lifestyle or wasting syndrome (Table 3).

Table 3 Factors associated with sarcopenia in HIV-infected patients using antiretroviral therapy (ART), 2017 (n= 99). 

Variable No Sarcopenic Sarcopenic p*
N % n %
Sex 0.095
Male 52 77.6 15 22.4
Female 29 90.6 3 9.4
Age category 0.004
Adult 80 85.1 14 14.9
Elderly 1 20.0 4 80.0
Education 0.603
≤9 years 32 84.2 6 15.8
>9 years 47 83.9 9 16.1
Family income per capita 0.530
1st tertile (>333.33) 21 77.8 6 22.2
2nd tertile (333.33-1000.00) 45 86.5 7 13.5
3rd tertile (>1000.00) 15 88.2 2 11.8
Viral load 0.336
Undetectable 38 84.4 7 15.6
Detectable 25 75.8 8 24.2
CD4+T (cells/mm3) 0.333
≤350 14 73.7 5 26.3
>350 51 83.6 10 16.4
SAH 0.624
Yes 10 83.3 2 16.7
No 71 81.6 6 18.4
DM 0.037
Yes 3 50.0 3 50.0
No 78 83.9 15 16.1
CKD 0.642
Yes 4 80.0 1 20.0
No 77 81.9 17 18.1
Anemia 0.230
Yes 11 73.3 4 26.7
No 62 84.9 11 15.1
Fatigue 0.591
Yes 49 81.7 11 18.3
No 32 82.1 7 17.9
Anorexia 0.306
Yes 14 73.7 5 26.3
No 67 83.8 13 16.3
Consumption of Alcoholic Beverages 0.215
Yes 40 87.0 6 13.0
No 41 78.8 11 21.2
Smoking 0.099
Smoker 13 68.4 6 31.6
Non- smoking 53 88.3 7 11.7
Former smoker 15 75.0 5 25.0
Level of Physical Activity 0.838
Sufficiently active 56 82.4 12 17.6
Unsufficiently active 25 80.6 6 19.4
Nutritional Status (BMI) 0.003
Undernutrition 4 50.0 4 50.0
Eutrophy 32 74.4 11 25.6
Overweight 44 93.6 3 6.4
Wasting syndrome 0.207
Yes 9 69.2 4 30.8
No 72 83.7 14 16.3
Variable NoSarcopenic Sarcopenic p**
M SD M SD
CD4+T(cells/mm3) 652 348 497 322 0.121
Variable No Sarcopenic Sarcopenic p***
Med IQ Med IQ
Time since diagnosis 10 6-12 10 5-12 0.806
Duration of ART 60 24-138 54 18-135 0.870

*Pearson's Chi-Square or Fisher's Exact.

**Student's t test;

***Mann -Whitney U test.

BMI: Body Mass Index; CKD: Chronic Kidney Disease; DM: Diabetes Mellitus; IQ: Interquartile Interval; M: Mean; Med: Median; SAH: Systemic Arterial Hypertension; SD: Standard Deviation.

Regarding the factors associated with wasting syndrome, we observed a higher prevalence in individuals with a less education (26.3% vs 5.4%, p= 0.005), lower income (p= 0.041) and lower CD4+ T cells (654 ± 321 vs 429 ± 450 cells/mm3, p= 0.045). There was no statistically significant association of wasting syndrome with other demographic and clinical variables (Table 4).

Table 4 Factors associated with wasting syndrome in HIV-infected patients using antiretroviral therapy, 2017 (n= 99). 

Variable Without Wasting Syndrome With Wasting Syndrome p*
n % n %
Sex 0.075
Male 61 91.0 6 9.0
Female 25 78.5 7 21.9
Age Category 0.513
Adult 82 87.2 12 12.8
Elderly 4 80.0 1 20.0
Education 0.005
≤9 years 28 73.7 10 26.3
>9 years 53 94.6 3 5.4
Family income per capita 0.041
1st tertile (>333.33) 20 74.1 7 26.9
2nd tertile (333.33-1000.00) 46 88.5 6 11.5
3rd tertile (>1000.00) 17 100.0 0 0
Clinical variables Viral load 0.578
Undetectable 39 86.7 6 13.3
Detectable 29 87.9 4 12.1
CD4+T (cells/mm3) 0.069
≤350 14 73.7 5 26.3
>350 55 90.2 6 9.8
SAH 0.491
Yes 10 83.3 2 16.7
No 76 87.4 11 12.6
DM 0.176
Yes 4 66.7 2 33.3
No 82 88.2 11 11.8
CKD 0.641
Yes 12 80.0 1 20.0
No 82 87.2 4 12.8
Anemia 0.387
Yes 12 80.0 3 20.0
No 63 86.3 10 13.7
Fatigue 0.359
Yes 51 85.0 9 15.0
No 35 89.7 4 10.3
Anorexia 0.526
Yes 17 89.5 2 10.5
No 69 86.3 11 13.8
Consumption of Alcoholic Beverages 0.362
Yes 41 89.1 5 10.9
No 44 84.6 8 15.4
Smoking 0.864
Smoker 16 84.2 3 15.8
Non-smoking 53 88.3 7 11.7
Former smoker 17 85.0 3 15.0
Level of Physical Activity 0.060
Sufficiently active 62 91.2 6 8.8
Unsufficiently active 24 77.4 7 22.6
Nutritional Status (BMI) 0.138
Undernutrition 6 75.0 2 25.0
Eutrophy 35 81.4 8 18.3
Overweight 44 93.6 3 6.4
Variable Without Wasting Syndrome With Wasting Syndrome p**
M SD M SD
CD4+T(cells/mm3) 654 321 429 449 0.045
Variable Without Wasting Syndrome With Wasting Syndrome p***
Med IQ Med IQ
Time since diagnosis 60 24-144 60 12-101 0.278
Duration of ART 48 24-114 24 12-96 0.119

*Pearson's Chi-Square or Fisher's Exact.

**Student's t test;

***Mann -Whitney U test.

BMI: Body Mass Index; CKD: Chronic Kidney Disease; DM: Diabetes Mellitus; IQ: Interquartile Interval; M: Mean; Med: Median; SAH: Systemic Arterial Hypertension; SD: Standard Deviation.

DISCUSSION

Sarcopenia is associated with decreased quality of life and increased morbidity and mortality27,28. Therefore, the study of sarcopenia is clinically vital for the management and treatment of HIV positive patients. Although sarcopenia was initially described as a physiological aspect associated with aging, it is possible to find that sarcopenia is, in fact, associated with several diseases29,30,31. Research has shown that HIV-infected individuals are typically affected by a series of complications that are traditionally unrelated to AIDS. However, these complications are often known to be related to early aging, e.g. sarcopenia6,32.

The prevalence of sarcopenia found in the present research protocol was lower than that previously described by Neto et al11. Briefly, the work of Neto and colleagues compared the prevalence of sarcopenia in HIV-infected patients and patients not infected with HIV (serving as the control group.) Sarcopenia was observed in 24.2% of those infected. The difference in prevalence found between our present protocol and this previously mentioned study can be explained by the differences in average age among participants. The subjects in the present study had an average age of 40 years old, while the average age of participants in the Neto et al study was 59 years of age. Since sarcopenia is a syndrome that progresses with age, this circumstance may explain why there was a greater prevalence of the syndrome according to Neto et al11.

Few studies have shown results regarding the combination of the three components that encompass sarcopenia. In a cohort study with middle-aged, HIV-infected adults using ART, 50% of physically-disabled adults met the criterion of low muscle mass that characterized sarcopenia33. However, the method utilized for the detection of muscle mass differs from that used in the current study, which is considered more sensitive. The findings reinforce the idea that the presence of sarcopenia can be related to a reduction of the functionality in those infected by HIV, therefore compromising the quality of life and increasing the risk of complications33,34. Taking all of these factors into consideration, it is noteworthy to mention the relevance of a systematic evaluation of this condition in the follow-up routine of HIV patients.

Regarding the severity of sarcopenia, we observed that 33% of our sarcopenic patients had severe sarcopenia, an unfavorable condition for the three diagnostic criteria: mass, strength and functionality. Our findings differ from those reported by Neto et al11 who evaluated patients with a mean age of 59 years and a BMI of 25.6 kg / m². Among non-sarcopenic patients, 16% of the patients studied presented pre-sarcopenia; a condition that already exposes the individual to a greater risk of developing osteoporosis, as reported in an investigation carried out in men with HIV35. In this published report, pre-sarcopenic patients had a higher risk of developing osteoporosis despite a recovery of CD4+T cells35. The presence of osteoporosis may increase the risk of falls and fractures that can be observed in the HIV-infected population6,36. In addition to the increased risk of developing comorbidities, the presence of sarcopenia may also be responsible for increased duration and number of hospitalizations, as well as healthcare costs37,38.

If we analyze the components that comprise the diagnosis of sarcopenia in our participants, despite the similar percentages among them (e.g. about 30% of the subjects), we observed that reduced muscle strength was present in a greater proportion of the test subjects compared to mass and functionality muscle. Manini and Clark point out that the loss of muscle strength could be more devastating than the changes in muscle mass itself39. It could be more devastating since loss of muscle strength can cause more adverse effects. This observation highlights the importance of the evaluation of muscle strength, even in those individuals with good muscle mass. This is especially relevant since studies have shown that muscle strength impairment is an independent risk factor for mortality in patients with HIV40,41.

Long before the beginning of studies relating sarcopenia to HIV, the malignant effects of weight loss, which also includes the loss of muscle mass, had already been studied in the HIV population, especially those without ART42. Even after the introduction of ART, HIV-associated wasting syndrome has remained a topic of study13. Wasting syndrome in the current study affected individuals to a lesser extent when compared to how sarcopenia affected them. Therefore, great attention should be given to how this condition threatens patient health. Effects can result in worse clinical outcomes and even higher mortality in cases of clients suffering from progressive weight loss12,15,43. High percentages of weight loss were found in a cohort conducted by Wanke et al14. This research showed that in 18% of HIV-infected patients, there was an unintentional weight loss higher than 10% between two follow-up visits. In addition, the prevalence of involuntary weight loss was higher that 5% in 21% of patients on regular ART. On the other hand, a study with more than 12,000 HIV patients by Siddiqui et al demonstrated a prevalence of 8.3% of HIV-associated wasting syndrome in patients who were using antiretroviral therapy. In addition, weight loss in these patients was associated with the presence of several comorbidities, as well as higher costs of hospital care44.

The consequences of wasting syndrome go beyond the immediate effects on health. Long-term effects have also been described in recent findings in the literature. It has recently been shown that the syndrome had a negative impact on muscle strength and physical function, with findings observed even years after stabilization of body weight16.

When our team evaluated the factors associated with the investigated conditions, we observed that sarcopenia was more prevalent in elderly compared to younger adults. In fact, aging, as well as HIV infection, is characterized by increased protein catabolism and subsequent muscle loss45.

Furthermore, the prevalence of sarcopenia was higher in malnourished patients, but it is important to emphasize that this condition was present in about 25% of eutrophic patients and in more than 6% of individuals who were overweight. These findings reinforce the importance of assessing sarcopenia independent of nutritional status, since its deleterious effects are not restricted to undernourished individuals. More recently, Erlandson et al showed increased mortality risk in those HIV infected subjects who presented reduction of limb muscle mass in the presence of sarcopenic obesity33. Interestingly, many studies are finding an association between muscle mass reduction, increased adiposity and mortality in non-HIV-infected patients46,47,48.

Sarcopenia was also associated with DM. Park et al found that older individuals with type 2 diabetes had a 30% greater 3-year decline in muscle strength, when compared to their healthier counterparts, who did not present DM49. More recently, other research groups have demonstrated an association between DM and muscle impairment50,51,52. DM can contribute to sarcopenia, as it speeds up protein catabolism through the modifications generated by insulin resistance and glucose toxicity53,54. These results reinforce the need for better nutritional monitoring, particularly in those patients with HIV, who also present chronic diseases like DM. In addition to nutritional care, it is important to note that properly monitored exercise programs are able to preserve muscle mass, improve body composition, as well as increase the number of CD4+T cells, which contributes to improving the quality of life in the population living with HIV/AIDS55,56.

Although they were not associated in the present study, the coexistence of sarcopenia and wasting syndrome was found in a relatively small percentage of the sample (4%). Special consideration should be given to these patients, as they simultaneously present two conditions associated with malignant outcomes and that may compromise clinical prognosis.

Wasting syndrome was associated with lower socioeconomic status, an association previously demonstrated by Li et al57. This research report indicated that lower socioeconomic status, among other factors, was a predictor of severe weight loss in HIV-infected patients. This observation was described after initiation of HAART57. Similar findings have also been reported in a study of women infected with HIV58. It is reasonable to suggest that the association between wasting syndrome and lower socioeconomic status can be explained by the fact that people with better socioeconomic status may have better access to nutritionally adequate diets, as well as greater levels of education. These aspects can significantly contribute to the improvement of health care57.

Our findings also indicated that those with wasting syndrome had lower CD4+T cell counts. In agreement with these findings, it was demonstrated that weight and BMI were significantly lower when there were lower levels of CD4+ T cells59. In addition, the greatest weight loss occurred when CD4+T cells counts were lower than 600 cells/mm3(60). Data also show that the increase in CD4+T cell count associated with undetectable viral load would be able to minimize weight loss in HIV patients61.

Despite the interesting findings reported in the present study, it is important to point out some limitations that consequently limit the extent of the current research conclusions. First, the sample was taken from a single service and is relatively small. This last factor may have contributed to the differences not found, especially regarding the level of physical activity. However, while this limitation does not diminish the importance of this study, we acknowledge that any extrapolation of our results to other groups of HIV-infected patients should be done with great caution. Second, the use of anthropometry as a tool to assess muscle mass can also represent a limitation, since the best method for estimating muscle mass would be computed by tomography and magnetic resonance imaging. However, because of the higher cost of these methods and the limited access to equipment, DXA (Dual energy X-ray absorptiometry) is suggested as an alternative method, both for research and in clinical practice62.

Additionally, anthropometric assessment is used in lieu of more sophisticated methods that are often unavailable in clinical practice. Therefore, due to these potential limitations, it is possible that the number of individuals with reduced muscle mass may be underestimated. Lastly, it is important to mention that the lack of biochemical evaluation prevented us from incrementing our conclusions, primarily in regard to inflammatory markers, known to be associated with sarcopenia and greater weight loss.

CONCLUSION

The current findings allow us to conclude that the prevalence of sarcopenia in this study appeared to be lower than that found in the few studies available in published literature, mainly due to differences in sample characteristics and methodologies used to diagnose sarcopenia. We observed that sarcopenia was more prevalent in elderly, diabetic and malnourished patients, but was also present in individuals with normal or overweight nutritional status. Wasting syndrome was less prevalent than sarcopenia, and the syndrome was associated with lower socioeconomic status and lower CD4 + T cells count.

Sarcopenia and wasting syndrome are both significant clinical problems that can increase morbidity and mortality risks in patients infected with HIV. Therefore, adequate nutritional monitoring is recommended, as well as routine evaluation of these two conditions. Inexpensive and practical clinical assessments can potentially avoid, or at least, delay the onset of these undesirable conditions. As a result, patients affected by the devastating HIV virus will be able to experience a better quality of life as well as an improved clinical prognosis.

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Received: June 17, 2019; Revised: September 24, 2019; Accepted: December 22, 2019

*Corresponding Author: Luciana Caroline Paulino do Nascimento, Rua Sargento Wilson Viana, n°309, Tejipió, Recife/PE – Brasil. Email: lucianacpnascimento@hotmail.com

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