Zum Hauptinhalt springen

Immunologic biomarkers, morbidity and mortality among HIV patients hospitalised in a Tertiary Care Hospital in the Brazilian Amazon.

Gama, WM ; Frank, CHM ; et al.
In: BMC infectious diseases, Jg. 21 (2021-08-26), Heft 1, S. 876
Online academicJournal

Immunologic biomarkers, morbidity and mortality among HIV patients hospitalised in a Tertiary Care Hospital in the Brazilian Amazon 

Background: The irregular use of antiretroviral therapy (ART) and late diagnosis still account for a large part of HIV-associated mortality in people living with HIV (PLHIV). Herein, we describe HIV-associated morbidity among hospitalised HIV/AIDS patients with advanced immunosuppression and assess the comorbidities, laboratory parameters, and immunological markers associated with mortality. Methods: The cross-sectional study was conducted at the Fundação de Medicina Tropical Doutor Heitor Vieira Dourado (FMT-HVD) in Manaus, Brazil. In all, 83 participants aged between 12 and 70 years were enrolled by convenience within 72 h of their hospitalisation. Clinical and laboratory data were obtained from electronic medical records. We prospectively measured the cytokines Th1/Th2/Th17 and inflammatory cytokines IL-8, IL-1β, and IL-12 using cytometric bead array, and the soluble CD14 using in-house enzyme-linked immunosorbent assay. Results: The HIV/AIDS inpatients presented a scenario of respiratory syndromes as the most prevalent comorbidity. Almost all patients had CD4 T counts below 350 cells/mL and the mortality rate was 20.5%. Pulmonary tuberculosis, neurotoxoplasmosis and oropharyngeal–esophageal candidiasis were the most prevalent opportunistic infections. TB and weight loss were more prevalent in HIV/AIDS inpatients who died. The Mann Whitney analysis showed that those who died had higher platelet distribution width (PDW) on admission, which is suggestive for platelet activation. The Poisson multivariate analysis showed the prevalence of TB, digestive syndrome and increases in IL-8 and lactate dehydrogenase (LDH) associated to death. Conclusions: The advanced immunosuppression characterized by the opportunistic infections presented in these HIV/AIDS inpatients was the major factor of mortality. The role of platelet activation in worse outcomes of hospitalisation and the IL-8 associated with the context of advanced immunosuppression may be promising markers in the prediction of mortality in HIV/AIDS patients.

Keywords: (MeSH):HIV; Acquired immunodeficiency syndrome; AIDS-related opportunistic infections; Biomarkers; Morbidity; Mortality

Background

Brazil has been successfully combating the HIV/AIDS epidemic by providing antiretroviral therapy (ART) in a unified, universal and free public health system that is widely available to the population [[1]]. The mortality rate due to HIV/AIDS in Brazil has fallen significantly during the last 20 years, especially in the southeastern, southern and mid-western regions. This has been principally influenced by a government policy of linking HIV/AIDS treatment and medication dispensing to compulsory notification within the public health system (Sistema Único de Saúde/SUS) [[1], [3]]. This system has been fundamental for the decision-making process at the government level in regard to providing access to ART for all PLHIV.

Since the beginning of the epidemic in 1982, more than 300,000 deaths caused by HIV/AIDS have been reported in Brazil. After the adoption of ART in 1996, there was a significant reversal in mortality. The deaths related to the HIV/AIDS epidemic have shown a downward trend in Brazil as a whole, however this trend is still subtle in the northern and northeastern regions [[1], [3], [5]]. Similarly, the number of new cases of HIV/AIDS has been gradually decreasing in recent years, influenced by the southeast, southern and central-western regions, while the northern and northeastern regions still show a growth in new cases [[3]].

Located in northern Brazil, the State of Amazonas has peculiar characteristics, such as geographic isolation and, in the interior of the state, a lack of access to full health services. The capital, Manaus, is the largest city in the state and its health units are decentralized, located in the neighborhoods and semi-urban areas. These health units are essential for promoting the early diagnosis and the introduction of ART, and contribute to the decrease in morbidity and mortality caused by opportunistic diseases [[2]]. The Fundação de Medicina Tropical Doutor Heitor Vieira Dourado (FMT-HVD) is a tertiary care hospital, which provides inpatient and outpatient care for PLHIV. The FMT-HVD is responsible for more than 85% of all patients receiving ART, and also concentrates vital data on incidence levels of AIDS, mortality rates and late diagnosis [[2], [5]–[8]]. We still see many cases of virological failure and late presentation (e.g., patients presenting a late diagnosis or patients that have been infected for longer periods before being diagnosed) [[2], [5], [8]]. Recently, we observed in a cross-sectional study with older than 18 years of age underwent antiretroviral therapy at least 6 months [[8]]. This reflects in deaths related to the HIV/AIDS, especially among PLHIV from black/brown/indigenous race/color or those having lower levels of education. As they have less access to ART or have been in discontinuous ART, the consequence is no virological suppression [[6], [9]]. Studies on the HIV/AIDS epidemic in the Amazon region have indicated that over time the trend in the number of cases has continued to increase, principally in men. Concerning PLHIV, TB stands out as the main cause of death and respiratory failure as the main cause of hospital admission [[5], [10]–[12]].

Immune activation in HIV infection is a strong predictor of disease progression and is a result of dysregulated innate and adaptive immune responses to HIV with active participation of co-infections and microbial products [[13]]. In PLHIV who are ART naïve or among those who have interrupted their ART, the risk of dying is higher than those who were treated continuously [[15]]. Thus, the need to evaluate factors associated with the risk of death is increased in order to ensure an appropriate investigation and treatment during the hospitalisation of these vulnerable people. In this study, we report the prevalence of coinfections and comorbidities and assess laboratory and immunological markers within 72 h of hospital admission associated with the risk of death in HIV/AIDS inpatients.

Methods

Study population and study design

This cross-sectional study assessed the prevalence of comorbidities, laboratory parameters, and the immunological markers associated with the death in HIV/AIDS patients of either sex, who were admitted to the FMT-HVD between 2017 and 2018. Eighty-three participants aged between 12 and 70 were enrolled in this study by convenience within 72 h of admission. After signature of the informed consent form, the patient's blood was collected and the serum cytokines, chemokines, and soluble CD14 were measured.

Clinical data

During the first contact with the patients, socio-demographic data, such as name, age, gender, and use of ART, were collected. The following data were collected through the patient's electronic medical records:

  • Clinic data: general health status, comorbidities, co-infections, treatment, clinical manifestations (weight loss, diarrhea, vomiting) and death.
  • Laboratory data: blood count, the IgG serology test (cytomegalovirus—CMV, toxoplasmosis, Epstein Barr—EBV, herpes virus, hepatitis B virus—HBV, hepatitis C virus—HCV), immunological markers (viral load and T cell count CD4+ T and CD8+ T) and biochemical markers (bilirubin, creatinine, lactic dehydrogenase, GT range, albumin, alkaline phosphatase, GPT and OGT).
General characteristics of patient comorbidities

Information regarding coinfections and comorbidities were obtained from the electronic medical database at the FMT-HVD, and the outcomes of interest were survival (hospital discharge) and death. Both were verified via either a death certificate or discharge authorization registered on the electronic medical record. Comorbidities or disorders were defined as signs and/or symptoms of respiratory, neurological, cardiovascular, and digestive origin, of infectious and non-infectious cause, with or without chronicity.

Respiratory disorders encompass a variety of pathogenic conditions that affect the respiratory tract, and include infectious and non-infectious signs and symptoms such as dyspnea (shortness of breath or difficulty in breathing), abnormal lung auscultation, long-term and/or productive cough, and pleural effusion. Neurological disorders include those of infectious and non-infectious etiology, signs and symptoms such as alteration in consciousness, sensory loss and/or movement disorders (poor coordination, tremors, asthenia), paralysis, and seizure. The cardiovascular disorders included hypertension, heart failure, peripheral edema, and anasarca. Gastrointestinal disorders include those of an infectious and non-infectious cause, signs and symptoms such as include odynophagia, dysphagia, esophagitis, gastritis, vomiting, and diarrhea.

Other comorbidities, such as chronic lymphocytic leukemia, Hodgkin's disease, aplastic anemia, and neurological disorders, such as multiple sclerosis and myasthenia gravis, were monitored.

Blood sample collection

On the same day as the patient's enrollment, after the interview and signing of the consent form, 5 mL of blood was collected by vacuum venipuncture. The samples were collected in dry tubes and centrifuged at 3500 rpm for 5 min at 25 °C to obtain the serum and aliquoted (1 mL) for analysis of the inflammatory markers. The whole blood that was collected in an anticoagulant tube was homogenized, aliquoted (1 mL), and then stored for future analysis. Samples were stored at − 80 °C until use.

Immunological markers

The measurement of serum cytokines was performed using the flow cytometry technique CBA (cytometric bead array) with the human cocktail Th1/Th2/Th17 cytokine for IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ and IL17 and inflammatory cytokines IL-8, IL-1β, and IL-12 (Biosciences, USA). Serum concentrations of soluble CD14 (sCD14) were determined by in-house enzyme-linked immunosorbent assay (ELISA). Initially, the plate was sensitized with the primary antibody (anti-human CD14 Antibody; Cat. Nº. MAB3833; Lot. AWI091610A; R&D Systems) diluted in carbonate–bicarbonate buffer (0.05 M; pH 9.6). After sensitization, blocking was performed with PBS/BSA blocking buffer (PBS pH 7.4; 3% bovine albumin). Subsequently, the sera from patients and controls were diluted into PBS/BSA dilution buffer (PBS pH 7.4; 0.5% bovine albumin) and incubated for 1 h at 37 °C. Three concentrations of recombinant human CD14 protein (Recombinant Human CD14; Cat. No. 383-CD; Lot. BCS1716091; R&D Systems) were added to each plate well in order to determine a standard-curve. After four lavage steps in PBS washing buffer (PBS pH 7.4; 0.05% Tween 20), the 1:1000 dilution secondary antibody (anti-human CD14 Biotinylated Antibody; Cat Nº BAF383; Lot. BAR0714031; R&D Systems) was added. After the lavage steps, 1:1000 dilution, 0.5 mg, peroxidase-labeled streptavidin (KPL) was added for 1 h at 37 °C. The reaction was developed with developing buffer (citrate-phosphate buffer + TMB + H2O2 30%) and stopped with H2SO4 (2.0 M). The reading was made by colorimetric means (optical density—OD), using a spectrophotometer for an ELISA plate reader (Bio-Rad iMark™ microplate reader) at an absorbance of 450 nm.

Statistical analysis

Data were tabulated in an Excel database created by the researchers and analyzed using the GraphPad Prism program, version 7. For data analysis, patients were defined as Death (those who died during hospitalisation) or Discharge (those who were discharged from hospital). Descriptive analysis was performed with mean and standard deviation (SD) for numerical variables when distribution was normal, or median and interquartile range for non-normal distributions. In the univariate analysis, Fisher's exact test was used to determine relative risk among categorical variables. Laboratory parameters, soluble CD14, cytokine and chemokines concentrations, and days of hospitalisation were compared between the Death and Discharge groups using the Mann Whitney test. The Poisson regression was performed to assess factors associated with death in HIV/AIDS inpatients among the most prevalent comorbidities, laboratory parameters and immunological markers. For this model, we used data from univariate analyses where the selected variables were those presenting p < 0.2. The statistical significance was defined as p < 0.05.

Results

Overall, respiratory disorders were the most prevalent (62.1%), followed by neurological (37.9%), gastrointestinal (21.0%) and cardiovascular (5.2%) disorders. Among the respiratory disorders of infectious cause, TB was the most prevalent (56.30%), followed by pneumocystosis (2.4%). The most prevalent signs and symptoms were abnormal lung auscultation (22.40%), followed by respiratory failure (5.30%), and severe cough (5.30%). Regarding neurological disorders, the most prevalent coinfections were neurotoxoplasmosis (44.4%), neurocriptococcosis (8.3%), and neurotuberculosis (2.8%). The most prevalent signs and symptoms were confusion, paralysis, and/or poor coordination (30.6%), tremors and asthenia (11.1%), and seizures (5.6%). The most prevalent gastrointestinal disorders of infectious cause were oral and esophageal candidiasis (55%). The most prevalent signs and symptoms were vomiting (39.7%), diarrhea (33.7%), and odynophagia (5.0%). A total of 25% of patients reported abdominal pain.

In all, 17 hospitalised patients died and 66 were discharged. The duration of hospitalisation did not differ between the two groups (p = 0.30), the median and 25% and 75% interquartiles of hospitalised days of those who died were 19 (14.5–26.5), while for those who were discharged the median was 25 (11.0–38.0). All the described disorders were assessed to identify factors associated with the mortality of the patients (Table 1). Tuberculosis was more prevalent among patients who died (p = 0.001). The IgG serological tests used for previous infections did not differ between HIV/AIDS patients who died or were discharged from hospital. Weight loss was associated with death (p = 0.013). The univariate analyses of HIV-RNA > 1000 copies and CD4 T < 350 cells/mL showed no association with death. The CD4 T counts were greatly reduced in both groups, the CD8 T cells presented normal values in the group of patients who died, while the Discharge group tended towards a slight increase, though this was not statistically significant. The ratio of CD4:CD8 cells below 0.20 due the reduction of CD4-T evidenced the advanced immune impairment of the patients (Table 2).

Table 1 Assessment of comorbidities in the outcomes of HIV–AIDS inpatients

Clinical data

Death

Discharge

p

N = 17

N = 66

Age (mean, std.)

37.6 (9.9)

36.2 (9.4)

0.590

Gender (male)

11 (64.7)

54 (81.8)

0.184

ART

12 (70.6)

55 (83.3)

0.300

CD4 T < 350 cells/mL

14 (82.4)

58 (87.9)

0.688

HIV-RNA > 1000 copies

14 (82.4)

47 (71.2)

0.539

Weight loss

14 (82.4)

30 (45.5)

0.007**

Very good condition

7 (41.2)

35 (53.0)

0.425

Lucid and space-oriented

8 (47.1)

40 (60.6)

0.410

Anemia

15 (88.2)

43 (65.2)

0.079

Respiratory disorder

14 (82.4)

42 (63.6)

0.244

Neurological disorder

8 (47.1)

29 (43.9)

0.999

Cardiovascular disorder

2 (11.8)

2 (3.0)

0.184

Gastrointestinal disorder

8 (47.1)

16 (24.2)

0.077

Active coinfections

Tuberculosis

12 (70.6)

25 (37.9)

0.026*

Parasites in stools

3 (17.6)

13 (19.7)

0.999

Toxoplasmosis IgM

1 (5.9)

7 (10.6)

0.999

Cytomegalovirus IgM

1 (5.9)

2 (3.0)

0.502

Epstein Barr virus IgM

17 (100)

66 (100)

0.999

Herpes virus IgM

0 (0)

3 (4.5)

0.999

Previous infections

HCV IgG

1 (5.9)

2 (3.0)

0.502

Cytomegalovirus IgG

13 (76.5)

53 (80.3)

0.741

Toxoplasmosis IgG

13 (76.5)

52 (78.8)

0.999

Epstein Barr virus IgG

12 (70.6)

49 (74.2)

0.764

Herpes virus IgG

12 (70.6)

44 (66.7)

0.999

*, **: p-value; statistically significant difference

Table 2 Univariate analyses with laboratory parameters in the outcomes in HIV/AIDS patients

Laboratory tests

Death

Discharge

p

N = 17

N = 66

Hematological data (NVA)

HIV-RNA copies/mLb

126,578 (3247–273,012)

25,258.5 (391.5–145,976.8)

0.590

Lymphocytes (percent)a (25.0–40.0%)

20.5 (10.3)

27.4 (13.5)

0.055

CD4-T cells/µLb (600 to 1500/mm3)

44 (7–232)

79 (30–198.2)

0.140

CD8-T cells/µLb (200 to 800/mm3)

402 (198–776)

544.5 (359.2–1143.8)

0.312

CD4/CD8 ratiob (1.0 and 4.0)

0.1 (0–0.4)

0.1 (0.1–0.3)

0.123

Hemoglobin (13.0–18.0 g/dL)

9.3 (2.7)

10.8 (2.4)

0.165

Leukocytesb (4500–11,000/mL)

4740 (3510–8600)

4215 (3275–5,757.5)

0.527

Neutrophilsb (1800–7700/mL)

2660 (1679–3234)

3118 (2109–4907.5)

0.113

Monocytesb (80–1100/mL)

249 (161–379)

329 (187.2–488.2)

0.370

Eosinophilsb (40–550/mL)

2 (2–4)

4 (2.6–7)

0.030*

Plateletsa (150,000–400,000 × 103/mL)

299,352.9 (207,630.4)

273,947.0 (132,454.6)

0.536

MPVb (8.8 fL to 12.5 fL)

8.2 (7.8–8.8)

8.1 (7.4–8.7)

0.446

PDWb (9.3 fL to 16.0 fL)

15.8 (13–18.7)

13.5 (11.2–16.5)

0.037*

Biochemistry parameters (NVA)

Bilirubinb (< 1.0 mg/dL)

0.4 (0.2–0.9)

0.4 (0.3–0.7)

0.999

Creatinineb (0.6–1.35 mg/dL)

1 (0.7–1.3)

0.8 (0.6–0.9)

0.069

LDHb (120 and 246 U/uL)

435 (332–534)

367.5 (300.2–474.2)

0.159

Gamma-glutamyltransferaseb,c

88 (42–203)

103.5 (57.8–290)

0.876

Albuminb (3.5–5.0 g/dL)

3.4 (2.8–4)

3.8 (3.3–4.5)

0.129

Alkaline phosphataseb (65.0–330.0 U/uL)

282 (200–459)

281 (201–386)

0.835

Aspartate aminotransferaseb (2–38.0 U/uL)

44 (26–82)

34 (25–58)

0.280

Alanine aminotransferaseb (2–44.0 U/uL)

31 (22–41)

43 (31–77)

0.038*

NVA Normal values in adults, PDW Platelet distribution width, MPV Mean platelet volume, LDH lactate dehydrogenase aMean and standard bMedian (25th; 75th interquartile) cReferences values of Gamma-glutamyltransferase (men: 10 to 50 U/uL and women: 7 to 32 U/uL) *, **: p-value; statistically significant difference

The low hemoglobin level was present in both groups; however, it was more prevalent in those who died. The total leukocytes, neutrophils, and monocytes did not differ between groups and remained in normal ranges in most patients. The percentage of lymphocytes in those who died showed a tendency to be lower. The eosinophil counts were reduced in both groups, though they were even lower (p = 0.03) in those who died. The platelet distribution width (PDW) was higher among those who died.

Overall, the patients preserved their liver function, with no significant alterations in the hepatic markers. The alkaline phosphatase levels and the transaminase levels were slightly elevated in both groups. The renal function was able to maintain the creatinine levels in normal ranges (Table 2).

The soluble CD14, the chemokines and Th1/Th2/Th17 cytokine levels at the time of hospitalisation revealed no difference between the two groups, while IL-8 tended to be associated with death (p = 0.06) (Fig. 1). It is worth mentioning the stratification of immunological markers in descending order of plasma levels.

Graph: Fig. 1 Serological markers as predictors of mortality. The soluble CD14, the chemokine IL-8 and the cytokines Th1/Th2/Th17 were compared among the patients who died and those who survived. A sCD14; B IL-8; C IL-6; D IFNγ; E IL-12; F IL-2; G IL-4; H IL-17A; I IL-10; J TNFα and L IL-1β. Concentrations were compared between Death and Survival groups using the Mann Whitney test

When isolated, the prevalence of TB showed a relative risk (RR) of 4.62, though, when associated with digestive syndrome, it presented RR = 3.07. In relation to laboratory parameters and immunological markers, the risk of death increases along with the increment in IL-8 and LDH levels, e.g., IL-8 (RR = 1.0001) and LDH (RR = 1.0007). The mean IL-8 in univariate analysis showed no differences between groups; however, most patients who died had higher levels of IL-8 than those who were discharged (Fig. 1B). The RR of the lymphocyte percentage was 0.9503, indicating that the risk of death was higher as the percentage decreased (Table 3).

Table 3 Relative risk of comorbidities, laboratory parameters and immunological markers in the mortality of HIV/AIDS patients

Characteristic

Death

RR

95% CI

p-value

Yes

No

N = 17

N = 66

Digestive syndromea

8/17 (47%)

16/66 (24%)

3.05

(1.55–6.06)

0.001

Tuberculosisa

12/17 (71%)

25/66 (38%)

4.62

(1.87–11.36)

0.001

IL.8 pg/mLb

90.4 (20–189.0)

26.1 (14.0–90.1)

1.01

(1.00–1.01)

0.007

Lymphocytesb in percentage

20.5 (10.3)

27.4 (13.5)

0.95

(0.91–0.98)

0.003

LDH U/uL** (120 and 246 U/uL)

435 (332–534)

367.5 (300.2–474.2)

1.01

(1.00–1.01)

0.001

Relative risk; CI: confidence interval; and the p-value was calculated using the Poisson regression; LDH: lactate dehydrogenase aAmong the categorical variables, the statistics were presented as n/N (%); where n = number of patients for whom the variable was positive. N represents total number in each group bAmong the numerical variables, statistics were presented as median (Q1–Q3) or mean (SD) **: References value of lactate dehydrogenase (120 and 246 U/uL)

Discussion

After the advent of ART, HIV infection has changed from an illness that causes rapid deterioration to a complex chronic disease. Brazil has responded to the HIV pandemic in innovative ways, and was the world's first developing country to offer ART free of charge to all PLHIV and the third developing country to provide ART regardless of CD4+ T cell counts [[1], [17]]. As a consequence, the HIV/AIDS mortality rate continues to fall [[3]]. However, the states of Acre, Amazonas, and Roraima in northern Brazil still show increases in mortality. PLHIV with poorer outcomes in these states have a strong association with both late diagnosis and their consequent late assistance, and virologic failure (non-achievement or non-maintenance of undetectable viral load). The sociodemographic determinants, such as poverty, race/color (black/brown/indigenous), schooling, and social vulnerability index are still an obstacle for accessing timely diagnosis and proper treatment [[3], [6]–[8]].

This cross-sectional study has found that the HIV/AIDS epidemiological scenario has not changed in the few last years; respiratory disorders are still the most prevalent complication, while TB, neurotoxoplasmosis, and oropharyngeal–esophageal candidiasis are the most prevalent opportunistic infections. During the last decade, TB has been highly prevalent among HIV/AIDS patients who died [[5], [10], [18]]. Additionally, we found weight loss associated to death through the univariate analysis, in agreement with early mortality in TB-HIV coinfected patients presenting malnutrition or low body mass index [[19]]. It is worth mentioning that weight loss and gastrointestinal disorders can be correlated variables [[20]]. Our multivariate analysis corroborated greater risk of death among those TB-HIV coinfected patients, similar with those coming from low-income regions, whose poverty, schooling, and social vulnerability index decrease the odds of access ART [[6], [19], [21]–[26]]. We observed an augmented risk of death among those patients presenting gastrointestinal disorders, especially oropharyngeal–esophageal candidiasis, which is recognized as an indicator of advanced immunosuppression [[27]]. This fungal infection is helping physicians to diagnose the clinical progression and risk of death [[27]].

Another challenge is the patients' low adherence to ART. Despite the free access to the antiretroviral drugs, due to several reasons including social factors, side effects or skepticism, since many have experienced previous treatment failure, some patients abandon ART [[29]]. In the latter cases, we observed both high prevalence of individuals with virologic failure without viral drug resistance mutations (DRMs) and an increment of transmitted HIV-DRMs, which has contributed to one of the worst epidemiological scenarios in northern Brazil in the last few years [[8]].

As almost all HIV-infected patients from both groups showed the CD4 counts lower than 200 cells/uL. However, the risk of death associated with decreased CD4 was especially a result of TB prevalence associated with oropharyngeal–esophageal candidiasis. The univariate analysis showed higher PDW at the time of admission of the patients who died. PDW is a platelet activation marker, since, under activation, platelets increase in number and size of pseudopodia, affecting their distribution width [[30]]. Platelets are small, anucleate cells that have hemostatic and inflammatory proprieties, and are considered more than just innocent bystanders. Our findings point towards the platelet activation being associated with severity of the systemic inflammatory responses in TB and bacterial sepsis [[31]–[33]].

HIV/AIDS is characterized by a state of chronic immune activation and inflammation. Elevated levels of IL8 have been reported in plasma, serum and cerebrospinal fluid in HIV/AIDS patients with CD4+ T cell counts < 350 cells/mm3, a promising marker of the inflammatory process [[34]–[36]]. Our multivariate analysis evidenced the association of digestive disorder, TB, elevated levels of IL-8 and LDH, and low levels of CD4 with increased risk of death [[37]–[40]].

IL-8 is a prominent neutrophil chemoattractant produced by macrophages and plays a dual role in the pathogenesis of TB and HIV-1 coinfection. On the one hand, IL-8 performs a key role in killing M. tuberculosis by phagocytosis in in vitro studies [[41]]. On the other hand, it enhances HIV-1 replication in monocyte derived macrophages and T lymphocytes [[41], [43]]. An important mechanism of host defense against TB is the granuloma. IL-8 has a significant role since it regulates the leukocyte influx in its formation. One in vivo study demonstrated that pretreatment with anti-IL-8 alone inhibits mycobacterial granuloma formation [[44]]. Moreover, IL-8 is a major inflammation-associated cytokine in pneumonia, and is correlated with neutrophil infiltration of the lung and impairment of the gas exchange [[37]]. In this context, an elevated IL-8 level was considered to be a factor associated with higher mortality in HIV/AIDS patients with opportunist infections, especially those precipitating respiratory disorders such as bacterial, viral and fungal pneumonia [[35]–[40], [46]]. Therefore, our findings are in agreement with studies that show that IL-8 may be used as a serological predictor for death in a scenario of advanced HIV/AIDS with TB and fungal coinfections [[46], [48]–[52]].

The sample size was one limitation of this study, and restricted the detection of other associations. Several factors contributed to the limitation of the sample, one of which is that the study was carried out in a medium-sized hospital. In addition to the structural limitations, some patients were hospitalised for up to 2 months, and others were re-hospitalised. Nevertheless, our limited sample size (by convenience) is still representative of the HIV/AIDS population in the region. Before ART, Kaposi's sarcoma and pneumocystosis were the most prevalent opportunistic diseases; after ART, TB, bacterial pneumonia and histoplasmosis became the most frequent causes of death. This study sampling was able to represent the same epidemiological scenario regarding HIV/AIDS patients that has been prevalent in northern Brazil in recent years.

Another limitation was related to the study design, which did not include patients' follow up, only one single blood sample collection. The information regarding the deaths of patients was obtained solely via electronic medical records.

Conclusions

This cross-sectional study found that the HIV/AIDS epidemiological scenario remains unchanged in northern Brazil, e.g., greater risk of death among the TB-HIV coinfected patients and among those with advanced immunosuppression, characterized by the presence of oropharyngeal–esophageal candidiasis. The univariate analysis showed higher PDW on hospital admission, indicating platelet activation, though further studies are needed to assess their relationship with the severity of the pulmonary infection in HIV/AIDS patients. Nonetheless, the use of IL-8 as a serological predictor of death in the HIV/AIDS patients is promising.

Acknowledgements

We gratefully acknowledge the partnership with the INProg-HIV group.

Authors' contributions

WMG, GM, DSS, DFS, PPO, FRP, GFM, BJB, VLOS, and RLG were responsible for the data collection from medical records. WMG, YOC, and AGC performed immunoassays. TVRA, AGC, and AASB performed the statistical analyses. MCS, MVGL, TVRAA, MFS, LCLF and PAN participated in study design. TVRA, MFS, LCLF and PAN wrote the first draft of the manuscript. CHMF, TVRA, and PAN elaborated the final version of manuscript. All authors read and approved the final manuscript.

Funding

TVRA and BJB received a post-doctoral fellowship from "Programa Nacional de Cooperação Acadêmica na Amazônia" of Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (PROCAD-AM 88887.321243/2019-00). WMG and DFS each received a master's grant 119 from Programa Pos-Graduação em Immunologia Basica e Aplicada" at the Universidade Federal 120 do Amazonas. MVGL and PAN are CNPq fellows, levels I and II, respectively. This work was funded by a grant from Fundação Oswaldo Cruz—Programa INOVA_Geração do Conhecimento number VPPCB-007-FIO-18, call 28/2018. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

All protocols and consent forms were approved by the Fundação de Medicina Tropical Dr. Heitor Vieira Dourado Ethics Review Board (CAAE: 57330116.6.0000.0005). All consent forms were signed by the research participants and filed for future verification.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Abbreviations

• AIDS

  • Acquired immunodeficiency syndrome

• ART

  • Antiretroviral therapy

• CBA

  • Cytometric bead array

• CI

  • Confidence interval

• CMV

  • Cytomegalovirus

• EBV

  • Epstein Barr virus

• FMT-HVD

  • Fundação de Medicina Tropical Dr. Heitor Vieira Dourado

• HBV

  • Hepatitis B virus

• HCV

  • Hepatitis C virus

• HIV

  • Human immunodeficiency virus

• IFN

  • Interferon

• IL

  • Interleukin

• MPV

  • Mean platelet volume

• NVA

  • Normal values in adults

• PDW

  • Platelet distribution width

• RR

  • Relative risk

• TB

  • Tuberculosis

• TNF

  • Tumor necrosis factor
Publisher's Note

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

References 1 Benzaken AS, Pereira GFM, Costa L, Tanuri A, Santos AF, Soares MA. Antiretroviral treatment, government policy and economy of HIV/AIDS in Brazil: is it time for HIV cure in the country?. AIDS Res Ther. 2019; 16: 1-7. 10.1186/s12981-019-0234-2 2 Leon C, Koosed T, Philibert B, Raposo C, Benzaken AS. HIV/AIDS health services in Manaus, Brazil: patient perception of quality and its influence on adherence to antiretroviral treatment. BMC Health Serv Res. 2019; 19: 1-11. 10.1186/s12913-019-4062-9 3 BRASIL M da S. Boletim Epidemiológico HIV / Aids | 2020. Secr Vigilância em Saúde. 2020;1:68. 4 Ministério da Saúde do Brasil. Boletim Epidemiologico HIV Aids 2017. HIV Aids Bol Epidemiológico. 2017:64. 5 Oliveira RDSMD, Benzaken AS, Saraceni V, Sabido M. HIV/AIDS epidemic in the state of amazonas: characteristics and trends from 2001 to 2012. Rev Soc Bras Med Trop. 2015; 48: 70-78. 10.1590/0037-8682-0121-2013 6 Pascom ARP, Meireles MV, Benzaken AS. Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016. Medicine (United States). 2018; 97: S69-74 7 Pascom AR, Pinho RE, Rick F, Veras NM, Perini FDB, Meireles MV. Comparison of cumulative viraemia following treatment initiation with different antiretroviral regimens: a real-life study in Brazil. J Int AIDS Soc. 2019; 22: e25397. 1:CAS:528:DC%2BC1MXisVyitbvP. 10.1002/jia2.25397. 31743620. 6863473 8 Chaves YO, Pereira FR, Pinheiro RdS, Batista DRL, Balieiro AAdS, Lacerda MVGd, et al. High detection rate of HIV drug resistance mutations among patients who fail combined antiretroviral therapy in Manaus, Brazil. Biomed Res Int. (submitted). 9 Mangal TD, Meireles MV, Pascom ARP, De Almeida CR, Benzaken AS, Hallett TB. Determinants of survival of people living with HIV/AIDS on antiretroviral therapy in Brazil 2006–2015. BMC Infect Dis. 2019; 19: 1-9. 10.1186/s12879-019-3844-3 Garrido MdS, Penna ML, Perez-Porcuna TM, de Souza AB, Marreiro LdS, Albuquerque BC. Factors associated with tuberculosis treatment default in an endemic area of the Brazilian Amazon: a case control-study. PLoS ONE. 2012; 7: e39134. 1:CAS:528:DC%2BC38XpsVygtrc%3D. 10.1371/journal.pone.0039134. 3373579 Magno EDS, Saraceni V, Souza ABD, Magno RDS, Saraiva MDGG, Bührer-Sékula S. Factors associated with TB/HIV coinfection: evidence from notification data in the State of Amazonas, Brazil, 2001–2012. Cad Saude Publica. 2017; 33: e00019315. 10.1590/0102-311x00019315. 28614446 Da Silva LCF, Dos Santos EM, Neto ALDS, Miranda AE, Talhari S, Toledo LDM. Padrão da infecção pelo HIV/AIDS em Manaus, Estado do Amazonas, no período de 1986 a 2000. Rev Soc Bras Med Trop. 2009; 42: 543-550. 10.1590/S0037-86822009000500012. 19967237 Ford E, Puronen C, Sereti I. Immunopathogenesis of asymptomatic chronic HIV infection: the calm before the storm. Curr Opin HIV AIDS. 2009; 43: 206-214. 10.1097/COH.0b013e328329c68c Appay V, Sauce D. Immune activation and inflammation in HIV-1 infection: causes and consequences. J Pathol. 2008; 214: 231-241. 1:CAS:528:DC%2BD1cXhvFCkt7k%3D. 10.1002/path.2276. 18161758. 18161758 Deeks SG, Phillips AN. HIV infection, antiretroviral treatment, ageing, and non-AIDS related morbidity. BMJ. 2009; 338: 288-292. 10.1136/bmj.a3172 Sandler NG, Wand H, Roque A, Law M, Nason MC, Nixon DE. Plasma levels of soluble CD14 independently predict mortality in HIV infection. J Infect Dis. 2011; 203: 780-790. 1:CAS:528:DC%2BC3MXis1aqs7o%3D. 10.1093/infdis/jiq118. 21252259. 21252259 WHO. HIV/AIDS. 2021. https://www.who.int/health-topics/hiv-aids#tab=tab. Ferreira MD, Das Neves CP, De Souza AB, Beraldi-Magalhães F, Migliori GB, Kritski AL. Predictors of mortality among intensive care unit patients coinfected with tuberculosis and HIV. J Bras Pneumol. 2018; 44: 118-124. 10.1590/s1806-37562017000000316. 29791547. 29791547 Sattler FR, Chelliah D, Wu X, Sanchez A, Kendall MA, Hogg E. Biomarkers associated with death after initiating treatment for tuberculosis and HIV in patients with very low CD4 cells. Pathog Immun. 2018; 3: 46-62. 10.20411/pai.v3i1.235. 29770360. 29770360 Zachariah R, Spielmann MP, Harries AD, Salaniponi FML. Moderate to severe malnutrition in patients with tuberculosis is a risk factor associated with early death. Trans R Soc Trop Med Hyg. 2002; 96: 291-294. 1:STN:280:DC%2BD38vitVCntQ%3D%3D. 10.1016/S0035-9203(02)90103-3. 12174782 Lakoh S, Jiba DF, Kanu JE, Poveda E, Salgado-Barreira A, Sahr F. Causes of hospitalization and predictors of HIV-associated mortality at the main referral hospital in Sierra Leone: a prospective study. BMC Public Health. 2019; 19: 1-9. 1:CAS:528:DC%2BC1MXhvF2ru7vF. 10.1186/s12889-019-7614-3 Wiewel MA, Huson MA, van Vught LA, Hoogendijk AJ, Klein Klouwenberg PMC, Horn J. Impact of HIV infection on the presentation, outcome and host response in patients admitted to the intensive care unit with sepsis; a case control study. Crit Care. 2016; 20: 1-10. 10.1186/s13054-016-1469-0 Getahun H, Gunneberg C, Granich R, Nunn P. HIV infection-associated tuberculosis: the epidemiology and the response. Clin Infect Dis. 2010; 50: S201-S207. 10.1086/651492. 20397949. 20397949 Jiamsakul A, Lee MP, Nguyen KV, Merati TP, Cuong DD, Ditangco R. Socio-economic status and risk of tuberculosis: a case-control study of HIV-infected patients in Asia. Int J Tuberc Lung Dis. 2018; 22: 179-186. 1:STN:280:DC%2BC1MrnvVyhug%3D%3D. 10.5588/ijtld.17.0348. 29506614 Pang W, Shang P, Li Q, Xu J, Bi L, Zhong J. Prevalence of opportunistic infections and causes of death among hospitalized HIV-infected patients in Sichuan, China. Tohoku J Exp Med. 2018; 244: 231-242. 10.1620/tjem.244.231. 29563388 Phillips RO, Steinmetz A, Nichols J, Adomako E, Ofori E, Antonio E. Spectrum of disease in HIV-positive patients presenting to a tertiary care hospital: a retrospective, cross-sectional review in Kumasi, Ghana. BMC Infect Dis. 2018; 18: 1-7. 10.1186/s12879-018-3332-1 Xiao J, Gao G, Li Y, Zhang W, Tian Y, Huang Y. Spectrums of opportunistic infections and malignancies in HIV-infected patients in tertiary care hospital, China. PLoS ONE. 2013; 8: 1-10 Mugusi SF, Ngaimisi E, Janabi MY, Mugusi FM, Minzi OMS, Sasi PG. Risk factors for mortality among HIV-positive patients with and without active tuberculosis in Dar es Salaam, Tanzania. Antivir Ther. 2012; 17: 265-274. 1:CAS:528:DC%2BC38XhtVeiu7vM. 10.3851/IMP1956. 22293579 Moodley A, Wood NH. HIV-associated oral lesions as an indicator for HAART failure: a review. SADJ. 2012; 67: 348-352. 1:STN:280:DC%2BC3sbgtFKmuw%3D%3D. 23951791. 23951791 Vagdatli E, Gounari E, Lazaridou E, Katsibourlia E, Tsikopoulou F, Labrianou I. Platelet distribution width: a simple, practical and specific marker of activation of coagulation. Hippokratia. 2010; 14: 28-32. 1:STN:280:DC%2BC3c3otVKruw%3D%3D. 20411056. 20411056 Zhang Z, Xu X, Ni H, Deng H. Platelet indices are novel predictors of hospital mortality in intensive care unit patients. J Crit Care. 2014; 29: 885.e1-885.e6. 10.1016/j.jcrc.2014.04.020 Şahin F, Yazar E, Yildiz P. Prominent features of platelet count, plateletcrit, mean platelet volume and platelet distribution width in pulmonary tuberculosis. Multidiscip Respir Med. 2012; 7: 1-7. 10.4081/mrm.2012.625 Camon S, Quiros C, Saubi N, Moreno A, Marcos MA, Eto Y. Full blood count values as a predictor of poor outcome of pneumonia among HIV-infected patients. BMC Infect Dis. 2018; 18: 4-9. 10.1186/s12879-018-3090-0. 1:CAS:528:DC%2BC1MXjtlKjt7o%3D Mamik MK, Ghorpade A. Chemokine CXCL8 promotes HIV-1 replication in human monocyte-derived macrophages and primary microglia via nuclear factor-κB pathway. PLoS ONE. 2014; 9: e92145. 10.1371/journal.pone.0092145. 1:CAS:528:DC%2BC2cXhsVWgu7rJ. 24662979. 3963875 Matsumoto T, Miike T, Nelson RP, Trudeau WL, Lockey RF, Yodoi J. Elevated serum levels of IL-8 in patients with HIV infection. Clin Exp Immunol. 1993; 93: 149-151. 1:CAS:528:DyaK3sXlsl2is78%3D. 10.1111/j.1365-2249.1993.tb07957.x. 8348739. 1554855 Ellwanger JH, Valverde-Villegas JM, Kaminski VDL, de Medeiros RM, Almeida SM, Santos BR. Increased IL-8 levels in HIV-infected individuals who initiated ART with CD4+ T cell counts <350 cells/mm3—a potential hallmark of chronic inflammation. Microbes Infect. 2020; 22: 474-480. 1:CAS:528:DC%2BB3cXht1Wrtr%2FE. 10.1016/j.micinf.2020.05.019. 32534178 Sun J, Su J, Xie Y, Yin MT, Huang Y, Xu L. Plasma IL-6/IL-10 ratio and IL-8, LDH, and HBDH level predict the severity and the risk of death in AIDS patients with pneumocystis pneumonia. J Immunol Res. 2016; 2016: 1583951. 10.1155/2016/1583951. 1:CAS:528:DC%2BC2sXhs1Gjtb7E. 27579328. 27579328 Andrade BB, Hullsiek KH, Boulware DR, Rupert A, French MA, Ruxrungtham K. Biomarkers of inflammation and coagulation are associated with mortality and hepatitis flares in persons coinfected with HIV and hepatitis viruses. J Infect Dis. 2013; 207: 1379-1388. 1:CAS:528:DC%2BC3sXlsV2lsLg%3D. 10.1093/infdis/jit033. 23335804. 23335804 Benito N, Moreno A, Filella X, Miró JM, González J, Pumarola T. Inflammatory responses in blood samples of human immunodeficiency virus-infected patients with pulmonary infections. Clin Diagn Lab Immunol. 2004; 11: 608-614. 15138189. 15138189 Ho HE, Peluso MJ, Margus C, Matias Lopes JP, He C, Gaisa MM. Clinical outcomes and immunologic characteristics of coronavirus disease 2019 in people with human immunodeficiency virus. J Infect Dis. 2021; 223: 403-408. 1:CAS:528:DC%2BB3MXlsFKmtb4%3D. 10.1093/infdis/jiaa380. 32601704 Imperiali FG, Zaninoni A, La Maestra L, Tarsia P, Blasi F, Barcellini W. Increased Mycobacterium tuberculosis growth in HIV-1-infected human macrophages: role of tumour necrosis factor-α. Clin Exp Immunol. 2001; 123: 435-442. 1:CAS:528:DC%2BD3MXjtFyjsbs%3D. 10.1046/j.1365-2249.2001.01481.x. 11298131. 1906017 Friedland J, Shattock R, Griffin G. Phagocytosis of M. tuberculosis or particulate stimuli by human monocytic cells induces equivalent Monocyte Chemotactic Protein 1 gene expression. Cytokine. 1993; 5: 150-156. 1:CAS:528:DyaK2cXmsF2n. 10.1016/1043-4666(93)90054-9. 7687473 Lane BR, Lore K, Bock PJ, Andersson J, Coffey MJ, Strieter RM. Interleukin-8 stimulates human immunodeficiency virus type 1 replication and is a potential new target for antiretroviral therapy. J Virol. 2001; 75: 8195-8202. 1:CAS:528:DC%2BD3MXmtFejurs%3D. 10.1128/JVI.75.17.8195-8202.2001. 11483765. 115064 Larsen CG, Thomsen MK, Gesser B, Thomsen PD, Deleuran BW, Nowak J, Skødt V, Thomsen HK, Deleuran M, Thestrup-Pedersen K. The delayed-type hypersensitivity reaction is dependent on IL-8. Inhibition of a tuberculin skin reaction by an anti-IL-8 monoclonal antibody. J Immunol. 1995; 155: 2151-2157. 1:CAS:528:DyaK2MXnsVShs7o%3D. 7636263. 7636263 Ameixa C, Friedland JS. Interleukin-8 secretion from Mycobacterium tuberculosis-infected monocytes is regulated by protein tyrosine kinases but not by ERK1/2 or p38 mitogen-activated protein kinases. Infect Immun. 2002; 70: 4743-4746. 1:CAS:528:DC%2BD38XlsFCls74%3D. 10.1128/IAI.70.8.4743-4746.2002. 12117995. 128139 Pananghat AN, Aggarwal H, Prakash SS, Makhdoomi MA, Singh R, Lodha R. IL-8 alterations in HIV-1 infected children with disease progression. Medicine (United States). 2016; 95: 1-9 Iii GInhibit N. Ga(III) nanoparticles inhibit growth of both Mycobacterium tuberculosis and HIV and release of interleukin-6 (IL-6) and IL-8 in coinfected macrophages. Antimicrob Agents Chemother. 2017; 61: 1-13 Obirikorang C, Yeboah FA. Blood haemoglobin measurement as a predictive indicator for the progression of HIV/AIDS in resource-limited setting. J Biomed Sci. 2009; 16: 102. 10.1186/1423-0127-16-102. 1:CAS:528:DC%2BD1MXhsFSmtbjL. 19922646. 2783029 Medical P, Hospital C, College KM. Mortality and morbidity patterns among HIV patients with prognostic markers in a tertiary care hospital in southern India. 2011:273–6. Kuller LH, Tracy R, Belloso W, De Wit S, Drummond F, Lane HC. Inflammatory and coagulation biomarkers and mortality in patients with HIV infection. PLoS Med. 2008; 5: 1496-1508. 1:CAS:528:DC%2BD1MXptVejsw%3D%3D. 10.1371/journal.pmed.0050203 Wada NI, Bream JH, Martínez-Maza O, Macatangay B, Galvin SR, Margolick JB. Inflammatory biomarkers and mortality risk among HIV-suppressed men: a multisite prospective cohort study. Clin Infect Dis. 2016; 63: 984-990. 1:CAS:528:DC%2BC1cXitFSisb4%3D. 10.1093/cid/ciw409. 27343547. 5019283 Lohman-Payne B, Gabriel B, Park S, Wamalwa D, Maleche-Obimbo E, Farquhar C. HIV-exposed uninfected infants: elevated cord blood Interleukin 8 (IL-8) is significantly associated with maternal HIV infection and systemic IL-8 in a Kenyan cohort. Clin Transl Med. 2018. 10.1186/s40169-018-0206-5. 30198049. 30198049

By Wellington Mota Gama; Carlos Henrique Michiles Frank; Taynná Vernalha Rocha Almeida; Daniel Silva dos Santos; Yury Oliveira Chaves; Danielle Furtado da Silva; Patrícia Puccinelli Orlandi; Flávio Ribeiro Pereira; Gleicienne Feliz Magalhães; Bárbara Jóse Baptista; Viviane Lago de Oliveira Silva; Antônio Alcirley da Silva Balieiro; Monique Freire Santana; Roberta Lins Gonçalves; Allyson Guimarães da Costa; Marcelo Cordeiro dos Santos; Luís Carlos de Lima Ferreira; Marcus Vinicius Guimaraes Lacerda and Paulo Afonso Nogueira

Reported by Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author

Titel:
Immunologic biomarkers, morbidity and mortality among HIV patients hospitalised in a Tertiary Care Hospital in the Brazilian Amazon.
Autor/in / Beteiligte Person: Gama, WM ; Frank, CHM ; Almeida, TVR ; Dos Santos, DS ; Chaves, YO ; da Silva DF ; Orlandi, PP ; Pereira, FR ; Magalhães, GF ; Baptista, BJ ; de Oliveira Silva VL ; da Silva Balieiro AA ; Santana, MF ; Gonçalves, RL ; da Costa AG ; Dos Santos, MC ; de Lima Ferreira LC ; Lacerda, MVG ; Nogueira, PA
Link:
Zeitschrift: BMC infectious diseases, Jg. 21 (2021-08-26), Heft 1, S. 876
Veröffentlichung: London : BioMed Central, [2001-, 2021
Medientyp: academicJournal
ISSN: 1471-2334 (electronic)
DOI: 10.1186/s12879-021-06566-x
Schlagwort:
  • Adolescent
  • Adult
  • Aged
  • Biomarkers
  • Brazil epidemiology
  • CD4 Lymphocyte Count
  • Child
  • Cross-Sectional Studies
  • Humans
  • Middle Aged
  • Morbidity
  • Tertiary Care Centers
  • Young Adult
  • HIV Infections complications
  • HIV Infections drug therapy
  • HIV Infections epidemiology
Sonstiges:
  • Nachgewiesen in: MEDLINE
  • Sprachen: English
  • Publication Type: Journal Article
  • Language: English
  • [BMC Infect Dis] 2021 Aug 26; Vol. 21 (1), pp. 876. <i>Date of Electronic Publication: </i>2021 Aug 26.
  • MeSH Terms: HIV Infections* / complications ; HIV Infections* / drug therapy ; HIV Infections* / epidemiology ; Adolescent ; Adult ; Aged ; Biomarkers ; Brazil / epidemiology ; CD4 Lymphocyte Count ; Child ; Cross-Sectional Studies ; Humans ; Middle Aged ; Morbidity ; Tertiary Care Centers ; Young Adult
  • References: J Bras Pneumol. 2018 Apr;44(2):118-124. (PMID: 29791547) ; J Infect Dis. 2011 Mar 15;203(6):780-90. (PMID: 21252259) ; J Immunol. 1995 Aug 15;155(4):2151-7. (PMID: 7636263) ; Cad Saude Publica. 2017 Jun 12;33(5):e00019315. (PMID: 28614446) ; BMC Infect Dis. 2018 Apr 19;18(1):189. (PMID: 29673334) ; BMC Infect Dis. 2019 Feb 28;19(1):206. (PMID: 30819120) ; Pathog Immun. 2018;3(1):46-62. (PMID: 29770360) ; Medicine (Baltimore). 2016 May;95(21):e3734. (PMID: 27227934) ; Clin Diagn Lab Immunol. 2004 May;11(3):608-14. (PMID: 15138189) ; Clin Infect Dis. 2010 May 15;50 Suppl 3:S201-7. (PMID: 20397949) ; J Infect Dis. 2021 Feb 13;223(3):403-408. (PMID: 32601704) ; Antimicrob Agents Chemother. 2017 Mar 24;61(4):. (PMID: 28167548) ; Rev Soc Bras Med Trop. 2015;48 Suppl 1:70-8. (PMID: 26061373) ; Biomed Res Int. 2021 Jun 8;2021:5567332. (PMID: 34212033) ; Hippokratia. 2010 Jan;14(1):28-32. (PMID: 20411056) ; Antivir Ther. 2012;17(2):265-74. (PMID: 22293579) ; PLoS Med. 2008 Oct 21;5(10):e203. (PMID: 18942885) ; Int J Tuberc Lung Dis. 2018 Feb 1;22(2):179-186. (PMID: 29506614) ; J Biomed Sci. 2009 Nov 18;16:102. (PMID: 19922646) ; PLoS One. 2012;7(6):e39134. (PMID: 22720052) ; Clin Exp Immunol. 2001 Mar;123(3):435-42. (PMID: 11298131) ; AIDS Res Ther. 2019 Aug 14;16(1):19. (PMID: 31412889) ; Multidiscip Respir Med. 2012 Oct 31;7(1):38. (PMID: 23114411) ; J Crit Care. 2014 Oct;29(5):885.e1-6. (PMID: 24895093) ; BMC Health Serv Res. 2019 May 30;19(1):344. (PMID: 31146738) ; Medicine (Baltimore). 2018 May;97(1S Suppl 1):S69-S74. (PMID: 29912818) ; Cytokine. 1993 Mar;5(2):150-6. (PMID: 7687473) ; J Int AIDS Soc. 2019 Nov;22(11):e25397. (PMID: 31743620) ; Trans R Soc Trop Med Hyg. 2002 May-Jun;96(3):291-4. (PMID: 12174782) ; Rev Soc Bras Med Trop. 2009 Sep-Oct;42(5):543-50. (PMID: 19967237) ; Curr Opin HIV AIDS. 2009 May;4(3):206-14. (PMID: 19532052) ; J Virol. 2001 Sep;75(17):8195-202. (PMID: 11483765) ; BMJ. 2009 Jan 26;338:a3172. (PMID: 19171560) ; PLoS One. 2014 Mar 24;9(3):e92145. (PMID: 24662979) ; BMC Infect Dis. 2018 Aug 23;18(1):419. (PMID: 30139334) ; Australas Med J. 2011;4(5):273-6. (PMID: 23393520) ; PLoS One. 2013 Oct 25;8(10):e75915. (PMID: 24204583) ; BMC Public Health. 2019 Oct 21;19(1):1320. (PMID: 31638941) ; SADJ. 2012 Aug;67(7):348-52. (PMID: 23951791) ; J Pathol. 2008 Jan;214(2):231-41. (PMID: 18161758) ; J Infect Dis. 2013 May 1;207(9):1379-88. (PMID: 23335804) ; Clin Transl Med. 2018 Sep 10;7(1):26. (PMID: 30198049) ; Clin Exp Immunol. 1993 Aug;93(2):149-51. (PMID: 8348739) ; J Immunol Res. 2016;2016:1583951. (PMID: 27579328) ; Clin Infect Dis. 2016 Oct 1;63(7):984-990. (PMID: 27343547) ; Crit Care. 2016 Oct 10;20(1):322. (PMID: 27719675) ; Microbes Infect. 2020 Oct;22(9):474-480. (PMID: 32534178) ; Tohoku J Exp Med. 2018;244(3):231-242. (PMID: 29563388) ; Infect Immun. 2002 Aug;70(8):4743-6. (PMID: 12117995)
  • Grant Information: 88887.321243/2019-00 CAPES/PROCAD; VPPCB-007-FIO-18 INOVA - FIOCRUZ
  • Contributed Indexing: Keywords: (MeSH):HIV; AIDS-related opportunistic infections; Acquired immunodeficiency syndrome; Biomarkers; Morbidity; Mortality
  • Substance Nomenclature: 0 (Biomarkers)
  • Entry Date(s): Date Created: 20210827 Date Completed: 20210924 Latest Revision: 20210924
  • Update Code: 20240513
  • PubMed Central ID: PMC8394190

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

oder
oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

oder
oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

xs 0 - 576
sm 576 - 768
md 768 - 992
lg 992 - 1200
xl 1200 - 1366
xxl 1366 -