Clinical Characteristics and Outcome of Bloodstream Infections in HIV-Infected Patients with Cancer and Febrile Neutropenia: A Case-Control Study.

INTRODUCTION: We aimed to compare the clinical characteristics and outcomes of bloodstream infections (BSI) in cancer patients presenting febrile neutropenia with and without HIV infection, and analyze the prognostic factors for mortality.
METHODS: BSI episodes in febrile neutropenic patients following chemotherapy were prospectively collected (1997-2018). A case (HIV-infected)-control (non-HIV-infected) sub-analysis was performed (1:2 ratio), matching patients by age, gender, baseline disease, and etiological microorganism.
RESULTS: From 1755 BSI episodes in neutropenic cancer patients, 60 (3.4%) occurred in those with HIV. HIV characteristics: 51.7% were men who have sex with men; 58.3% had < 200 CD4; 51.7% had a detectable HIV-1 RNA viral load before the BSI episode; 70.0% met AIDS-defining criteria; and 93.3% were on antiretroviral therapy, with a protease inhibitor-based regimen being the most common (53.0%). HIV-infected patients were younger, more frequently male and more commonly presenting chronic liver disease (p < 0.001 for all). BSI due to Enterococcus spp. was significantly more frequent among patients with HIV (p = 0.017) with no differences in other pathogens. HIV-infected patients with cancer presented with shock more frequently (p = 0.014) and had higher mortality (31.7% vs. 18.1%, p = 0.008). In the case-control analysis, cases (HIV-infected) had chronic liver disease (p = 0.003) more frequently, whereas acute leukemia (p = 0.013) and hematopoietic stem-cell transplant (p = 0.023) were more common among controls. There was a non-significant trend for cases to have higher mortality (p = 0.084). However, in multivariate analysis, HIV infection was not associated with mortality (p = 0.196).
CONCLUSION: HIV-infected patients with cancer developing febrile neutropenia and BSI have different epidemiological and clinical profiles, and experience higher mortality. However, HIV infection by itself was not associated with mortality.

Key Summary Points

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Introduction

Bloodstream infections (BSI) are the most frequent infectious complications in patients with post-chemotherapy febrile neutropenia, associated with high morbidity and mortality [1, 2]. Antibiotic treatment is challenging due to the rise in multidrug-resistant organisms, and inappropriate empirical treatment is associated with an increase in mortality [3-6].

Patients with human immunodeficiency virus (HIV) infection not undergoing antiretroviral therapy (ART) develop AIDS and, in many cases, AIDS-defining tumors [7, 8]. With the introduction of combined ART, however, HIV infection has become a chronic disease, and the number of individuals living with HIV continues to increase [9-11]. This has in turn been associated with an increased risk of non-AIDS-defining tumors [12-14]. Incidence of, and even mortality from, these non-AIDS-defining tumors appear to be higher in patients with HIV than in the general population [15, 16].

Patients with HIV who develop cancer, especially those with a lower CD4 level, have intrinsic immunosuppression, which is added to the neutropenia and toxicity associated with chemotherapy [13-15]. Moreover, some patients receive ART regimens having relevant drug–drug interactions that may complicate chemotherapy administration and lead to additional complications. Information concerning characteristics of BSI in patients with HIV and cancer who develop febrile neutropenia following chemotherapy is absent, and no specific recommendations are available for these patients upon febrile neutropenia onset.

We aimed to compare the clinical characteristics and outcomes of BSI in febrile neutropenic cancer patients with and without HIV infection, and to analyze prognostic factors for mortality.

Methods

Setting and Data Collection

This study was performed at the Hospital Clinic in Barcelona (Spain), a 700-bed university center providing specialized and broad medical, surgical, and intensive care for an urban population of 500,000 people. The HIV Unit of the Hospital Clinic has currently close to 6000 HIV-positive patients on active follow-up.

Since 1997, data on vital signs, laboratory and microbiological tests, complementary imaging explorations and administered treatment have been computerized. Concurrently, our institution has conducted a blood culture surveillance program identifying and monitoring all patients with bacteremia, as well as a parallel program that follow all patients with HIV. The collected data have been entered into specific databases designed for these programs.

Study Population and Design

For this study, we identified all episodes of febrile neutropenia following chemotherapy occurring in patients with cancer and HIV from January 1997 to March 2018.

The following data were obtained from all patients: age, gender, comorbidities, treatment with antibiotics or steroids in the previous month, recent hospitalization (within the last month), current administration of antibiotic treatment, neutrophil count, CD4 lymphocyte count, HIV viral load, microbiological isolates and their susceptibility profile, empirical antibiotic treatment, definitive antibiotic therapy, and 30-day mortality. A case (HIV-infected)–control (non-HIV-infected) sub-analysis was performed with a ratio of 1:2, matching patients for age, gender, baseline disease, and etiological microorganism. Wherever feasible, the match with the closest year of BSI was chosen.

This study was performed in accordance with the Helsinki Declaration, and followed privacy laws regarding active anonymity. This study was approved by the Ethics Committee Board of our institution (Comité de Ética de la Investigación con medicamentos, Hospital Clínic de Barcelona) with the following approval verdict: HCB/2019/0764. Informed consent was waived due to the retrospective nature of the study.

Definitions

Patients with febrile neutropenia were defined as those who had a single oral temperature measurement of > 38.3 °C or of > 38.0 °C sustained over a 1-h period, and an absolute neutrophil count of < 500 cells/mm3 [17]. Prior antibiotic therapy was defined as the use of any antimicrobial agent for ≥ 3 days during the month prior to the occurrence of the bacteremia episode [18]. Since 1995, according to the protocols of our hospital, patients with expected neutropenia over 10 days received prophylaxis with fluoroquinolone [19]. Breakthrough bacteremia was defined as a BSI occurring despite the patient receiving antibiotic treatment that was active against the isolated pathogen. Chronic renal failure was defined as an abnormality of kidney structure or function, present for > 3 months, with a decreased glomerular filtration rate (< 60 ml/min/1.73 m2). For HIV viral load and CD4 cell count, the most recent value available before the BSI was considered. Corticosteroid therapy was defined as the use of a dose ≥ 20 mg of daily prednisone or equivalent. Nosocomial infection was defined as that occurring 48 h after hospital admission. Healthcare-associated infection was defined when the subject met at least one of the following criteria: recent hospitalization (within the last 30 days), admission from long-term care facility, and chronic hemodialysis or intravenous treatment during the previous month. The remaining patients were classified as community-acquired [19]. BSI was considered to be from an unknown or endogenous source where no other source was identified. Catheter-related infections were defined as: (1) at least one positive blood culture and a positive semi-quantitative catheter-tip culture with growth of the same microorganism, and (2) a positive paired central and peripheral blood culture that grew the same microorganism; i.e., the former blood culture was positive ≥ 2 h earlier, or the site of insertion of vascular access showed signs of infection [19, 20]. Overall mortality was defined as death by any cause within the first 30 days of BSI onset.

Microbiological Methods

Blood samples were processed using the BACTEC 9240 system or BACTEC FX system (Becton–Dickinson Microbiology Systems), with an incubation period of 5 days. Isolates were identified by standard techniques. Antimicrobial susceptibility testing was performed by using a microdilution system (Microscan WalkAway; Dade Behring, West Sacramento, CA, USA, or Phoenix system; Becton Dickinson, Franklin Lakes, NJ, USA) or the Etest (Biodisk: Solna, Sweden/bioMérieux, Mercy l’Etoile, France). Current Clinical and Laboratory Standards Institute (CLSI) or the European Committee on Antimicrobial Susceptibility Testing (EUCAST) breakpoints for each year were used to define susceptibility or resistance to these antimicrobial agents, and intermediate susceptibility was considered as resistance [6]. Viral load limit of detection varied over time. A cut-off of < 50 copies/mL was considered as undetectable.

Statistical Analysis

Categorical variables were described by counts and percentages, whereas continuous variables were expressed as means and standard deviations (SD) or medians and interquartile ranges (IQRs). Pearson’s chi-squared test and the Mann–Whitney U test or Student’s t test were used to compare the distribution of categorical and continuous variables, respectively. Chi-squared for trend was used to compare the HIV characteristics over time. Factors associated with 30-day mortality in the case–control cohort were assessed using logistic regression models. All analyses were performed with SPSS software (v.18.0; SPSS, Chicago, IL, USA).

Results

Between 1997 and 2018, a total of 1755 episodes of bacteremia were documented in patients with neutropenia following chemotherapy. Of these, 60 (3.4%) episodes were identified in patients with HIV infection (Fig. 1).

Fig. 1

Flowchart of bloodstream infection episodes

Characteristics of HIV-Infected Patients Regarding their Baseline Disease

Table 1 details the characteristics of patients with HIV in relation to baseline disease, and compares these characteristics in terms of patient mortality as a result of the bacteremia. The most prevalent risk behavior was that of men who have sex with men (46.7%), 58.3% had < 200 CD4, and 70% met AIDS-defining criteria. Overall, 38.3% had a positive HIV-1 RNA viral load prior to the bacteremia episode, with a mean viral load of 484,982 copies/mL (SD 934,076). Most patients (91.4%) were on ART at the time of the BSI; a protease inhibitor-based ART was the most common regimen (53.0%) and median time since initiation of treatment was 23 months (IQR 4–48). ART regimens including a nucleoside/nucleotide reverse transcriptase inhibitors (NRTI) were more prevalent among those who survived (p = 0.019). Additionally, 14 (25.0%) patients had hepatitis C virus (HCV), 12 (21.4%) hepatitis B virus (HBV) and 6 (10.0%) both.

Table 1

Characteristics of patients with HIV regarding their baseline disease

	Episodes n = 60 (%)	Alive n = 41 (%)	Dead n = 19 (%)	p value
Risk behavior
MSM	28 (46.7)	18 (43.9)	10 (52.6)	0.528
Heterosexual	18 (30.0)	13 (31.7)	5 (26.3)	0.672
IVDU	9 (15.0)	5 (12.2)	4 (21.1)	0.445
Unknown	5 (8.3)	5 (12.2)	0 (0)	0.168
Prior CD4 count
< 100	21 (35.0)	14 (34.1)	7 (36.8)	0.839
101–200	14 (23.3)	8 (19.5)	6 (31.6)	0.304
201–350	8 (13.3)	7 (17.1)	1 (5.3)	0.416
> 350	10 (16.7)	7 (17.1)	3 (15.8)	1.000
NA	7 (11.7)	5 (19.2)	2 (16.7)	1.000
Detectable viral load
Yes	23 (38.3)	13 (31.7)	10 (52.6)	0.121
No	31 (51.7)	23 (56.1)	8 (42.1)	0.313
NA	6 (10.0)	5 (12.2)	1 (5.3)	0.654
AIDS criteria	42 (70.0)	29 (72.5)	13 (68.4)	0.747
ART	53 (91.4)	38 (95.0)	15 (83.3)	0.167
ART family
NRTI	46 (76.7)	35 (85.4)	11 (57.9)	0.019
NNRTI	14 (23.3)	7 (17.1)	7 (36.8)	0.092
PI	31 (51.7)	23 (56.1)	8 (42.1)	0.313
INSTI	16 (26.7)	11 (26.8)	5 (26.3)	0.967
Boosted	24 (40.0)	17 (41.5)	7 (36.8)	0.734

Significant p values in bold

MSM men who have sex with men, IVDU intravenous drug use, NA not available, ART antiretroviral treatment, NRTI nucleoside reverse transcriptase inhibitors, NNRTI non-nucleoside reverse transcriptase inhibitors, PI protease inhibitors, INSTI integrase inhibitors

Table 2 displays the evolution of HIV characteristics over time. Throughout the study period, no changes were observed in risk behaviors, CD4 counts, and rates of patients receiving ART or meeting AIDS criteria. However, the percentage of patients with detectable viral load decreased over time (p = 0.046), and the percentage of patients receiving an integrase inhibitor increased (p < 0.001).

Table 2

Evolution of HIV characteristics over time

	1997–2003 n = 16 (%)	2004–2010 n = 23 (%)	2011–2018 n = 21 (%)	p value for trend
Risk behavior
MSM	7 (43.8)	9 (39.1)	12 (57.1)	0.381
Heterosexual	4 (25.0)	10 (43.5)	4 (19.0)	0.592
IVDU	2 (12.5)	2 (8.7)	5 (23.8)	0.302
Unknown	3 (18.8)	2 (8.7)	0 (0)	0.043
Prior CD4 count
< 100	6 (37.5)	4 (17.4)	11 (52.4)	0.264
101–200	3 (18.8)	8 (34.8)	3 (14.3)	0.651
201–350	2 (12.5)	5 (21.7)	1 (4.8)	0.421
> 350	3 (18.8)	4 (17.4)	3 (14.3)	0.714
NA	2 (20.0)	2 (16.7)	3 (18.8)	0.957
Detectable viral load
Yes	9 (56.3)	9 (39.1)	5 (23.8)	0.046
No	5 (31.3)	13 (56.5)	13 (61.9)	0.076
NA	2 (12.5)	1 (4.3)	3 (14.3)	0.785
AIDS criteria	11 (68.8)	17 (73.9)	14 (66.7)	0.640
ART	13 (86.7)	20 (90.9)	20 (95.2)	0.368
ART family
NRTI	13 (81.3)	13 (56.5)	20 (95.2)	0.220
NNRTI	2 (12.5)	8 (34.8)	4 (19.0)	0.747
PI	11 (68.8)	10 (43.5)	10 (47.6)	0.240
INSTI	0 (0)	3 (13.0)	13 (61.9)	< 0.001
Boosted	4 (25)	10 (43.5)	10 (47.6)	0.181

Significant p values in bold

MSM men who have sex with men, IVDU intravenous drug use, NA not available, ART antiretroviral treatment, NRTI nucleoside reverse transcriptase inhibitors, NNRTI non-nucleoside reverse transcriptase inhibitors, PI protease inhibitors, INSTI integrase inhibitors

Comparison of Bacteremia Episodes in Cancer Patients with and Without HIV Infection

Table 3 compares bacteremia episodes according to the patient’s HIV status. Patients with HIV were younger, more frequently male, and more commonly presented with chronic liver disease (p < 0.001 for all). Conversely, HIV-infected patients underwent significantly fewer hematopoietic stem cell transplantations (HSCT) (p < 0.001).

Table 3

Comparison of bloodstream infection episodes in patients with and without HIV infection

	HIV n = 60 (%)	Non-HIV n = 1695 (%)	p value
Demographic characteristics and baseline disease
Median age (IQR)	49 (38–59)	56 (43–66)	< 0.001
Male sex	52 (86.7)	966 (57.0)	< 0.001
Diabetes mellitus	5 (8.3)	134 (7.9)	0.904
COPD	1 (1.7)	68 (4.0)	0.729
Chronic liver disease	9 (15)	40 (2.4)	< 0.001
Chronic renal failure	2 (3.3)	51 (3.0)	0.702
Solid neoplasia	6 (10.0)a	274 (16.2)	0.200
Hematologic malignancy	57 (95.0)	1489 (87.8)	0.093
Hematopoietic stem cell transplantation	1 (1.7)	449 (26.5)	< 0.001
Episode characteristics
Central venous catheter	46 (88.5)	1251 (89)	0.896
Corticosteroids	27 (45.8)	690 (42.5)	0.620
Bacteremia source
Endogenous/unknown	27 (45.0)	914 (53.9)	0.173
Catheter-related	18 (30.0)	410 (24.2)	0.303
Pulmonary	6 (10.0)	112 (6.6)	0.302
Abdominal	3 (5.0)	46 (2.7)	0.233
Shock	17 (28.3)	275 (16.3)	0.014
ICU admission	10 (16.7)	121 (7.1)	0.006
Microbiological characteristics
Gram-negative bacilli	32 (53.3)	865 (51.0)	0.726
E. coli	9 (15.0)	415 (24.5)	0.092
P. aeruginosa	10 (16.7)	212 (12.5)	0.341
Klebsiella spp.	3 (5.0)	102 (6.2)	1.000
Gram-positive cocci	24 (40.0)	784 (46.3)	0.340
CoNS	11 (18.3)	500 (29.5)	0.061
Enterococcus spp.	11 (18.3)	155 (9.1)	0.017
S. aureus	4 (6.7)	62 (3.7)	0.282
S. pneumoniae	1 (1.7)	14 (0.8)	0.408
Candidemia	5 (8.3)	67 (4.0)	0.093
Polymicrobial	7 (11.7)	151 (8.9)	0.463
Outcomes
IEAT	19 (31.7)	405 (24.4)	0.198
30-day mortality	19 (31.7)	303 (18.1)	0.008

Significant p values in bold

IQR interquartile range, COPD chronic obstructive pulmonary disease, BSI bloodstream infection, ICU intensive care unit, CoNS coagulase-negative staphylococci, IEAT inappropriate empirical antibiotic treatment

aIncluding 3 patients with Kaposi’s sarcoma and hematological malignancy

There was no difference in the source of bacteremia. BSI due to Enterococcus spp. was significantly more frequent among patients with HIV (p = 0.017), with no differences in other pathogens. Finally, HIV-infected patients presented with shock and required intensive care unit (ICU) admission more frequently (p = 0.014 and p = 0.006, respectively) and experienced higher mortality (31.7% vs. 18.1%, p = 0.008).

Supplementary Table 1 shows the changes over time in the main causative agents and their antimicrobial susceptibility.

Prognostic Factors in HIV-Infected Patients with Cancer

An analysis of risk factors for mortality was performed by selecting only those patients with HIV-infection and cancer. In the univariate study, diabetes mellitus (p = 0.031), abdominal source (p = 0.028), shock (p = 0.026), and E. coli BSI (p = 0.023) were associated with higher mortality. However, ART containing an NRTI (p = 0.019) and catheter-related bacteremia (p < 0.001) were associated with lower mortality. Patients with HIV infection and a detectable viral load showed a trend to higher mortality (43.5% vs. 24.3%, p = 0.121), while those receiving ART showed a trend to have lower mortality (28.3% vs. 60.0%, p = 0.167).

In multivariate analysis, factors independently associated with increased mortality in patients with HIV-infection and cancer were diabetes mellitus (OR 23.962, 95% CI 1.882–305.102) and shock (OR 9.918, 95% CI 2.093–46.998).

Comparison of Cases and Controls

Table 4 shows the comparison between cases (HIV-infected) and controls (non-HIV-infected). Cases had chronic liver disease more frequently (p = 0.003), while controls more commonly had acute leukemia (p = 0.013) and HSCT (p = 0.023). There was a non-significant trend for cases to receive inappropriate empirical antibiotic treatment (IEAT) (p = 0.206), present with shock (p = 0.105), and have higher mortality (p = 0.084).

Table 4

Comparison of cases and controls matched by the main variables

	HIV n = 60 (%)	Non-HIV n = 120 (%)	p value
Demographic characteristics and baseline disease
Median age (IQR)	49 (38–59)	52 (39–62)	0.432
Male sex	52 (86.7)	97 (80.8)	0.329
Diabetes mellitus	5 (8.3)	7 (5.8)	0.526
COPD	1 (1.7)	4 (3.3)	0.666
Chronic liver disease	9 (15.0)	3 (2.5)	0.003
Chronic renal failure	2 (3.3)	6 (5.0)	0.721
Solid neoplasia	6 (10.0)a	7 (6.1)	0.769
Hematologic malignancy	57 (95.0)	113 (94.2)	0.309
Type of hematologic malignancy
Acute leukemia	2 (3.3)	19 (16)	0.013
MDS	3 (5.0)	5 (4.2)	1.000
Multiple myeloma	2 (3.3)	6 (5.0)	0.720
NHL	41 (68.3)	68 (57.1)	0.148
HL	9 (15)	13 (10.9)	0.433
Hematopoietic stem cell transplantation	1 (1.7)	15 (12.5)	0.023
Episode characteristics
Corticosteroids	27 (45.8)	60 (50.0)	0.524
Bacteremia source
Endogenous/unknown	27 (45.0)	62 (51.7)	0.399
Catheter-related	18 (30.0)	33 (27.5)	0.726
Pulmonary	6 (10.0)	8 (6.7)	0.431
Abdominal	3 (5.0)	3 (2.5)	0.402
Skin/soft tissues	3 (5.0)	6 (5.0)	1.000
Urinary	1 (1.7)	6 (5.0)	0.427
Mucositis	2 (3.3)	2 (1.7)	0.602
Neutropenia < 100	40 (66.7)	79 (69.9)	0.661
Shock	17 (28.3)	21 (17.8)	0.105
ICU admission	10 (16.7)	8 (6.7)	0.035
Microbiological characteristics
Gram-negative bacilli	32 (53.3)	68 (56.7)	0.671
E. coli	9 (15.0)	22 (18.3)	0.577
P. aeruginosa	10 (16.7)	17 (14.2)	0.658
Klebsiella spp.	3 (5.0)	10 (8.3)	0.548
Pseudomonas spp. (not aeruginosa)	3 (5.0)	5 (4.2)	1.000
Enterobacter spp.	1 (1.7)	6 (5.0)	0.427
Fusobacterium spp.	1 (1.7)	3 (2.5)	1.000
S. maltophilia	1 (1.7)	3 (2.5)	1.000
Proteus spp.	1 (1.7)	1 (0.8)	1.000
Serratia spp.	1 (1.7)	1 (0.8)	1.000
Bacteroides spp.	1 (1.7)	1 (0.8)	1.000
Other GNBb	1 (1.7)	2 (1.7)	1.000
Gram-positive cocci	24 (40.0)	52 (43.3)	0.670
CoNS	11 (18.3)	24 (20.0)	0.790
Enterococcus spp.	11 (18.3)	14 (11.7)	0.223
S. aureus	4 (6.7)	8 (6.7)	1.000
Streptococcus spp.	2 (3.3)	6 (5.0)	0.721
Other Gram-positive coccic	0 (0)	2 (1.7)	0.553
Candidemia	5 (8.3)	11 (9.2)	0.853
Polymicrobial	7 (11.7)	12 (10.0)	0.732
Outcomes
IEAT	19 (31.7)	27 (22.9)	0.206
30-day mortality	19 (31.7)	24 (20.0)	0.084

Significant p values in bold

IQR interquartile range, COPD chronic obstructive pulmonary disease, MDS myelodysplastic syndrome, NHL Non-Hodgkin's lymphoma, HL Hodgkin's lymphoma, BSI bloodstream infection, ICU intensive care unit, CoNS coagulase-negative staphylococci, IEAT inappropriate empirical antibiotic treatment

aIncluding 3 patients with Kaposi’s sarcoma and hematological malignancy

bIncluding 1 Acinetobacter spp., 1 Citrobacter spp., and 1 Clostridium spp.

cIncluding 1 Leuconostoc spp., and 1 Gemella haemolysans

Prognostic Factors in the Case–Control Cohort

In the univariate analysis of the case–control cohort, diabetes mellitus (p = 0.028), myelodysplastic syndrome (p = 0.020), solid neoplasm (p = 0.005), pulmonary (p < 0.001), and abdominal source (p = 0.030), candidemia (p = 0.001), and shock (p < 0.001) were associated with increased mortality. Conversely, Hodgkin's lymphoma (p = 0.030) and catheter-related BSI (p < 0.001) were associated with decreased mortality.

Table 5 describes the prognostic factors in the case–control cohort. Factors independently associated with increased mortality were: myelodysplastic syndrome (OR 11.208, CI 1.775–70.774), solid neoplasm (OR 5.283, CI 1.139–24.513), pulmonary source (OR 11.515, CI 2.504–52.961), abdominal source (OR 72.323, CI 2.752–1900.833), shock (OR 6.477, CI 2.254–18.613), and candidemia (OR 15.297, CI 4.298–54.453). Hodgkin's lymphoma as a baseline disease was protective (OR 0.077, CI 0.006–0.971). The goodness-of-fit of the multivariate model was evaluated using the Hosmer–Lemeshow test (0.439), and the discriminatory power of the score, evaluated by the area under the receiver operating characteristics curve, was 0.826 (95% CI 0.756–0.897), demonstrating a strong ability to predict mortality at 30 days. HIV was not an independent factor associated with mortality (OR 1.957, 95% CI 0.708–5.410, p = 0.196).

Table 5

Prognostic factors in the case–control cohort

Risk factor	Odds ratio (95% confidence interval)	p value
Hodgkin’s lymphoma	0.077 (0.006–0.971)	0.047
Myelodysplastic syndrome	11.208 (1.775–70.774)	0.010
Solid neoplasia	5.283 (1.139–24.513)	0.034
Pulmonary source	11.515 (2.504–52.961)	0.002
Abdominal source	72.323 (2.752–1900.833)	0.010
Shock	6.477 (2.254–18.613)	0.001
Candidemia	15.297 (4.298–54.453)	< 0.001
HIV-infection	1.957 (0.708–5.410)	0.196

Adjusted for: chronic liver disease, diabetes mellitus, chronic renal failure, HIV, corticosteroid use, catheter-related source, inappropriate empirical antibiotic treatment, coagulase-negative staphylococci bacteremia, S. pneumoniae bacteremia, intensive care unit requirement

Discussion

The current study describes the characteristics of BSI episodes in HIV-infected patients with cancer and febrile neutropenia following chemotherapy compared to patients without HIV infection, and evaluates the risk factors for mortality in this population. The most important findings were: (1) HIV-infected patients with cancer, febrile neutropenia, and BSI are younger, more commonly present chronic liver disease and enterococcal BSI, and undergo HSCT less frequently; (2) HIV-infected patients present with shock more frequently and have a higher mortality; (3) in patients with HIV and cancer, diabetes mellitus and shock are independent risk factors for mortality; (4) in the case–control cohort, independent risk factors for mortality were myelodysplastic syndrome, solid neoplasm, pulmonary source, abdominal source, shock and candidemia, while Hodgkin’s lymphoma was protective; and (5) HIV infection by itself was not an independent risk factor associated with mortality.

Patients with HIV and cancer had different demographic and epidemiological characteristics that those patients without HIV. For example, patients with HIV received HSCT less frequently. This could be because most patients with HIV had lymphomas, whereby HSCT is indicated only in cases of relapse after first-line treatment. It is also possible that social problems or drug addiction contraindicated transplant or a discriminatory effect due to HIV status existed.

In this study, most patients with HIV and cancer were men who have sex with men with low prevalence of intravenous drug use. Although the present study evaluates a long period of time (21 years), this is in line with most current series in Western countries [21]. Most patients were on ART; however, 38.3% of patients had a detectable viral load prior to febrile neutropenia and only 16.7% had a CD4 count > 350. Furthermore, 70.0% met AIDS-defining criteria. A likely explanation for the high rates of detectable viral load and low CD4 counts despite high rates of ART could be that many patients were either late presenters who recently initiated ART and/or had begun treatment at the time of cancer diagnosis. Indeed, mean detectable viral loads were high and time since initiation of ART was mainly brief. Another possible explanation could be low adherence to ART, which is in turn related to a higher likelihood of developing cancer [8]. Unfortunately, we do not have data on adherence of such patients prior to febrile neutropenia. Finally, the percentage of patients with a detectable viral load decreased over time, probably following the overall, gradually improved management of patients with HIV.

Protease inhibitor-based ART was the most commonly used regimen. Protease inhibitors are potent inhibitors of the cytochrome P450 3A4, and frequently cause problematic drug-drug interactions with several chemotherapeutic and immunosuppressive agents [22]. This can lead to increased toxicity and a potential delay in chemotherapy treatments. In this setting, non-boosted integrase inhibitors are increasingly being used due to a more favorable drug–drug interaction profile and better tolerability [23, 24], as observed in our cohort. Although this may have impact on the outcomes of patients with HIV receiving chemotherapy, we found no differences regarding ART regimen, particularly in the setting of febrile neutropenic BSI.

In this study, patients with HIV and cancer experienced higher mortality than those without HIV. Several factors may explain this finding. In the overall cohort, patients with HIV more commonly presented some features associated with higher mortality in univariate analysis (besides HIV itself), e.g., chronic liver disease, enterococcal infection, IEAT, and shock. In the case–control cohort, despite matching for age, sex, baseline disease, and etiological microorganism, there was still a trend for patients with HIV to have higher mortality, and present with higher chronic liver disease and higher ICU requirement. It remains unclear why patients with HIV who develop BSI in the context of febrile neutropenia present with higher enterococcal infection, shock, and ICU requirement. As previously mentioned, the drug–drug interaction problem could have had an influence on prognosis. Co-infection rates with HCV and/or HBV in the HIV population was high, and this variable could have also impacted mortality, although this variable was not available in patients without HIV. It could also be possible that patients with HIV were a more vulnerable population after previous opportunistic infections or as a result of a more fragile baseline status. In fact, enterococcal infection has classically been associated with fragile patients, and reports of an increased prevalence in the HIV population already exist, although precise drivers are unknown [25, 26]. Lastly, defects in innate immunity and neutrophil function have been described in patients with HIV, comprising lower bactericidal ability, malfunctioning degranulation, and poor phagocytosis and chemotaxis [27]. This could have played a deleterious role in these patients; however, knowledge about such pathways in neutropenic patients with HIV is scarce.

Low CD4 cell count has been previously associated with prolonged febrile neutropenia and increased mortality due to infection following chemotherapy [28]. However, in this study, we describe the characteristics of patients who already present a BSI in the context of febrile neutropenia following chemotherapy, which is when many also have profound lymphopenia. In this setting, however, prior CD4 count was not found to be an independent predictor of mortality.

The strengths of this study are the large number of febrile neutropenic cancer patients with BSI included; the prospective collection of the data; the comprehensive clinical and microbiological data gathered; and the matched case–control comparison. Additionally, to our best knowledge, this is the first study to evaluate the characteristics and outcomes of patients with HIV and cancer who develop BSI and febrile neutropenia.

There are, nonetheless, some limitations that should be acknowledged. The number of patients with HIV was relatively low, especially when considering the extended length of the study period. Continuous variations occur in the characteristics and treatments of patients with HIV, and larger, up-to-date studies are needed. Secondly, this study was conducted in a single center, and microbiological epidemiology varies significantly in different geographical contexts. Lastly, cases and controls were matched by several characteristics (including etiology) in an attempt to assess the true impact of HIV; however, this precluded any evaluation of potentially different etiological microorganisms in otherwise similar patients.

Conclusions

In conclusion, in comparison to controls, overall HIV-infected patients with cancer who develop febrile neutropenia and a BSI have different epidemiological and clinical profiles, and experience higher mortality. However, in the case–control study, HIV infection by itself was not associated with mortality.

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 17 kb)

Why carry out this study?

Patients with HIV who develop cancer face intrinsic immunosuppression in addition to the neutropenia and toxicity associated with chemotherapy.

We aimed to compare the clinical characteristics and outcomes of BSI in febrile neutropenic cancer patients with and without HIV infection.

BSI characteristics in cancer patients with HIV may be different and HIV can be associated with increased mortality.

What was learned from the study?

HIV-infected patients with cancer, febrile neutropenia, and BSI have different clinical and etiological profiles from non-HIV-infected patients.

HIV cancer patients present with shock more frequently and have higher mortality.

However, in the case–control cohort, HIV was not an independent prognostic factor for mortality.