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. 2023 Jan 9;12(1):129. doi: 10.3390/antibiotics12010129

Conventional Hospitalization versus Sequential Outpatient Parenteral Antibiotic Therapy for Staphylococcus aureus Bacteremia: Post-Hoc Analysis of a Multicenter Observational Cohort

Nerea Castillo-Fernández 1, Pedro María Martínez Pérez-Crespo 2, Elena Salamanca-Rivera 3,4, Laura Herrera-Hidalgo 5, Arístides de Alarcón 6, María Dolores Navarro-Amuedo 6, Teresa Marrodán Ciordia 7, María Teresa Pérez-Rodríguez 8, Juan Sevilla-Blanco 9, Alfredo Jover-Saenz 10, Jonathan Fernández-Suárez 11, Carlos Armiñanzas-Castillo 12, José María Reguera-Iglesias 13, Clara Natera Kindelán 14, Lucía Boix-Palop 15, Eva León Jiménez 2, Fátima Galán-Sánchez 16, Alfonso del Arco Jiménez 17, Alberto Bahamonde-Carrasco 18, David Vinuesa García 19, Alejandro Smithson Amat 20, Jordi Cuquet Pedragosa 21, Isabel María Reche Molina 22, Inés Pérez Camacho 1, Esperanza Merino de Lucas 23, Belén Gutiérrez-Gutiérrez 3,4, Jesús Rodríguez Baño 3,4, Luis Eduardo López Cortés 3,4,*
Editor: Seok Hoon Jeong
PMCID: PMC9854520  PMID: 36671330

Abstract

It is not known whether sequential outpatient parenteral antimicrobial (OPAT) is as safe and effective as conventional hospitalization in patients with S. aureus bacteremia (SAB). A post-hoc analysis of the comparative effectiveness of conventional hospitalization versus sequential OPAT was performed in two prospective Spanish cohorts of patients with S. aureus bacteremia. The PROBAC cohort is a national, multicenter, prospective observational cohort of patients diagnosed in 22 Spanish hospitals between October 2016 and March 2017. The DOMUS OPAT cohort is a prospective observational cohort including patients from two university hospitals in Seville, Spain from 2012 to 2021. Multivariate regression was performed, including a propensity score (PS) for receiving OPAT, stratified analysis according to PS quartiles, and matched pair analyses based on PS. Four hundred and thirteen patients were included in the analysis: 150 in sequential OPAT and 263 in the full hospitalization therapy group. In multivariate analysis, including PS and center effect as covariates, 60-day treatment failure was lower in the OPAT group than in the full hospitalization group (p < 0.001; OR 0.275, 95%CI 0.129–0.584). In the PS-based matched analyses, sequential treatment under OPAT was not associated with higher 60-day treatment failure (p = 0.253; adjusted OR 0.660; % CI 0.324–1.345). OPAT is a safe and effective alternative to conventional in-patient therapy for completion of treatment in well-selected patients with SAB, mainly those associated with a low-risk source and without end-stage kidney disease.

Keywords: outpatient parenteral antimicrobial therapy, Staphylococcus aureus, bacteremia

1. Introduction

Outpatient parenteral antimicrobial therapy (OPAT) has been shown to be a safe choice for the treatment of a wide range of infectious diseases whenever oral therapy is not appropriate [1,2,3]. In well-selected patients, such as those who are clinically stable, and have uncomplicated bacteremia or a low-risk focus of infection, this strategy can reduce the duration of hospitalization and thus the risk of nosocomial infections, which improves quality of life and reduces costs [4,5]. The efficacy of OPAT has recently been demonstrated in infective endocarditis, even when applied with broader criteria than the standard guideline recommendations [6,7,8,9].

Staphylococcus aureus is a main cause of bacteremia in healthcare, nosocomial, and community settings, leading to a large number of secondary complications, as well as high morbidity and mortality [10,11]. There is growing interest in defining the patient profile and clinical circumstances in which sequential oral treatment or long-acting antibiotics should be used [12,13,14,15,16,17]. However, the best clinical profile for these strategies in S. aureus bacteremia (SAB) is not yet well established [12,13,14,15,16,17]. Thus, for a variety of reasons, many patients need to complete the entire therapeutic regimen intravenously. The need for prolonged hospitalization to receive intravenous antimicrobial therapy makes OPAT an attractive option for continuation of treatment in patients with SAB. Despite the proven safety of OPAT in other infectious diseases, few studies have shown whether it is possible to treat SAB patients in OPAT after an initial period in hospital [18,19,20,21,22,23,24,25]. The lack of evidence could be partly explained by the fact that clinical management of SAB is challenging due to its high virulence, the need for close clinical follow-up to prevent or detect early complications such as endocarditis, distant metastatic foci or relapse, or by the adverse events of first-line antibiotics [19,20,22,23,26,27]. Nevertheless, interest in the use of OPAT programs to reduce costs is growing in light of new evidence on the effectiveness and safety of intravenous therapies with a good pharmacokinetic profile, such as cefazoline or ceftriaxone [28,29,30,31]. By defining the characteristics of patients who can properly be managed with oral therapy or in an OPAT program, the management of SAB could be modified in the coming years as a way of improving the patient’s quality of life.

The aim of this study was to compare the clinical effectiveness of conventional hospitalization versus sequential OPAT in the treatment of SAB.

2. Methods

2.1. Study Design and Patients

This study is a post-hoc analysis of two prospective Spanish cohorts of patients with SAB. Patients who received intravenous therapy entirely in hospital (full hospitalization therapy group) were compared with those who started antibiotic treatment in hospital and continued sequential therapy in an OPAT program. Patients with SAB from the PROBAC cohort (a national, multicenter prospective observational cohort study of patients with bloodstream infections (BSI) diagnosed in 22 Spanish hospitals between October 2016 and March 2017), were eligible, and were included either in the full hospitalization or OPAT groups, as appropriate. Due to the limited number of patients in the OPAT group, patients with SAB treated in the DOMUS OPAT program, a service provided by the Virgen del Rocio and Virgen Macarena University Hospitals (both in Seville, Spain) from 2012 to 2021, were also considered eligible. The specific features of the DOMUS OPAT program have been extensively described in previous publications [28,32,33]. Patients undergoing hemodialysis after a period of conventional hospitalization were included in the full hospitalization therapy group as part of our objective to explore the effectiveness of OPAT versus standard practice.

Eligible patients were included in the analysis if they fulfilled all of the following criteria: (1) older than 14 years; (2) had monomicrobial SAB; and (3) survived at least 7 days after diagnosis of SAB. Patients who switched to oral therapy were excluded. A thirty-day follow-up of patients was carried out by the local bacteremia services. Following discharge from hospital, data were obtained by reviewing clinical records.

2.2. Ethical Statement

The activity of the DOMUS OPAT program has been approved by the research ethics committees of the University Hospital Virgen del Rocio and the University Hospital Virgen Macarena. The PROBACT project was approved by the ethics committees of the participating centers, which waived the need for informed consent due to the observational design. This project has been registered in ClinicalTrials.gov (NCT03148769).

2.3. Variables and Definitions

Data collected (with definitions below) included: age, gender, type of hospital service, type and severity of chronic underlying diseases according to the Charlson comorbidity index [34], renal replacement therapy, type of acquisition, suspected source of infection, methicillin susceptibility, presence of complicated bacteremia, length of hospital admission, total duration of therapy, and duration of hospital treatment before inclusion to the OPAT program. The primary endpoint was treatment failure, defined as a composite of 60-day crude mortality and/or 60-day relapse. Relapse was defined as the development of a new S. aureus bacteremia caused presumptively by the same strain based on the antibiogram once antibiotic treatment of the initial episode had been completed. Charlson comorbidity index, both crude and age-adjusted, was calculated. Source of infection was classified as vascular catheter-related (both peripheral and central), osteoarticular, respiratory tract, intra-abdominal, skin and soft tissue, infective endocarditis, intravascular device-associated, unknown, and other (including nervous central system and urinary tract). Vascular catheter-related SAB was defined according to ECDC criteria [35]. Complicated bacteremia was defined as the presence of infective endocarditis, distant metastatic foci, persistence of positive blood cultures or fever after three or more days of adequate treatment, or the presence of any prosthesis or device (vascular, valve, orthopedic or intracardiac). Patients who received more than 10 mg of prednisone (or equivalent) for more than 3 weeks and those who had received antineoplastic chemotherapy treatment in the last month were considered immunosuppressed.

2.4. Statistical Analysis

Continuous variables were expressed as median and interquartile range (IQR) and categorical variables as absolute numbers and percentages. Univariate comparisons were performed by the chi-square or Fisher tests for categorical variables, and the Mann–Whitney U test for continuous variables. Potentially clinically relevant variables and those with a univariate p value < 0.2 were included in the multivariate logistic regression model to estimate the adjusted OR for treatment failure. Potential interactions were explored and included if they had a significant modifying effect. Variable selection was performed manually using a backward stepwise procedure. In addition, a propensity score (PS) for treatment in an OPAT program was calculated by developing a non-parsimonious logistic regression model, with OPAT as the dependent variable, and age, chronic heart failure, chronic renal failure, hemodialysis, chronic obstructive pulmonary disease, malignancy, vascular catheter source, methicillin-resistant S. aureus (MRSA), endocarditis, valve prosthesis, persistent bacteremia, persistent fever > 72 h, vascular prosthesis, orthopedic prosthesis, distant metastatic foci, and intracardiac device as predictors. The PS was used first as a covariate in multivariate analysis, then to perform a stratified analysis according to PS quartiles, and finally to match patients in OPAT or full hospitalization therapy, using the minimum absolute difference between scores and a maximum tolerance of 5%. Whenever more than one pairing was possible, selection was by simple randomization. To control for the center effect, centers were grouped by regression analysis into low- and high-risk based on 60-day mortality; this variable was included in the multivariate analysis [36]. SPSS 26.0 software and TreeNet software (Salford System) were used for statistical analysis.

3. Results

During the study period, 147 patients from the DOMUS OPAT program and 540 from the PROBAC cohort were diagnosed with monomicrobial SAB. Patients who received oral step-down therapy (n = 169) or died within the first seven days of the diagnosis (n = 72) were excluded. Thirty-three patients were excluded because of missing data on the primary objective (see Figure 1). In total, 413 patients were included in the analysis:150 in the OPAT group and 263 in the full hospitalization therapy group.

Figure 1.

Figure 1

Flowchart of study.

Table 1 shows the baseline demographics and clinical characteristics of patients included in the study, as well as a comparative analysis of the two groups.

Table 1.

Features of cases with Staphylococcus aureus bloodstream.

All Cases
(n = 413)
OPAT Group (n = 150) Full Hospital-Based Therapy (n = 263) p Value
Median age (IQR) 69 (56–79) 64 (51–77) 70 (58–79) 0.009
Male gender 283 (68.5%) 105 (70.0%) 178 (67.9%) 0.664
Comorbidities
  Charlson index ≥ 2 290 (79.2%) 110 (73.3%) 180 (68.4%) 0.296
  Diabetes Mellitus 121 (29.3%) 42 (28.0%) 79 (30.0%) 0.662
  COPD 57 (13.8%) 25 (16.7%) 32 (12.2%) 0.202
  Chronic renal failure 102 (24.7%) 28 (18.7%) 74 (28.1%) 0.032
  Chronic heart failure 91 (22.0%) 50 (33.3%) 41 (15.6%) <0.001
  Malignancy 137 (33.2%) 67 (44.7%) 70 (26.6%) <0.001
  Chronic liver disease 35 (8.5%) 12 (8.0%) 23 (8.7%) 0.794
  Immunosuppressed 40 (9.7%) 16 (10.7%) 24 (9.1%) 0.611
Acquisition of infection
  Community-acquired 101 (24.5%) 30 (20.0%) 71 (27.0%) 0.112
  Nosocomial/healthcare acquisition 312 (75.5%) 120 (80.0%) 192 (73.0%) 0.112
Department
  Surgery 65 (15.8%) 29 (19.3%) 36 (13.7%) 0.134
  Medical 347 (84.2%) 121 (80.7%) 226 (86.3%) 0.134
Source of infection
  Vascular catheter 177 (42.9%) 93 (62.0%) 84 (31.9%) < 0.001
  Osteoarticular 24 (5.8%) 5 (3.3%) 19 (7.2%) 0.104
  Unknown 63 (15.3%) 13 (8.7%) 50 (19.9%) 0.005
  Respiratory tract 27 (6.5%) 3 (2.0%) 24 (9.1%) 0.005
  Intra-abdominal 9 (2.2%) 1 (0.7%) 8 (3.0%) 0.165
  Skin and soft tissues 62 (15.0%) 17 (11.3%) 45 (17.1%) 0.114
  Endocarditis or vascular prosthesis 21 (5.1%) 9 (6.0%) 12 (4.6%) 0.523
  Others 17 (4.1%) 6 (4.0%) 11 (4.2%) 0.928
Methicillin-resistant S. aureus 83 (20.1%) 20 (13.3%) 63 (24.0%) 0.011
Complicated bacteremia 157 (38.0%) 68 (45.3%) 89 (33.8%) 0.027
  Infective endocarditis 24 (5.8%) 12 (8.0%) 12 (4.6%) 0.189
  Metastatic distant foci 27 (6.5%) 15 (10.0%) 12 (4.6%) 0.032
  Persistent bacteremia 45 (10.9%) 14 (9.3%) 31 (11.8%) 0.442
  Persistent fever > 72h 43 (10.4%) 5 (3.3%) 38 (14.4%) <0.001
  Vascular prosthesis 12 (2.9%) 6 (4.0%) 6 (2.3%) 0.317
  Valve prosthesis 19 (4.6%) 11 (7.3%) 8 (3.0%) 0.045
  Orthopedic prosthesis 23 (5.6%) 12 (8.0%) 11 (4.2%) 0.104
  Intracardiac device 30 (7.3%) 19 (12.7%) 11 (4.2%) 0.001
Total duration of therapy, days, median (IQR) 17 (14–27) 20 (15–29) 16 (12–22) <0.001
Length of hospital stay, days, median (IQR) 17 (12–28) 16 (11–21) 22 (12–35) <0.001
60-day overall mortality 93 (22.5%) 10 (6.7%) 83 (31.6%) <0.001
Treatment failure 108 (26.2%) 15 (10.0%) 93 (35.4%) <0.001

Data are presented as n (%) unless indicated otherwise. Abbreviation: OPAT—outpatient parenteral antibiotic therapy; IQR—interquartile range; COPD—chronic obstructive pulmonary disease.

Overall, most cases were nosocomial or healthcare-associated (75.5%). Vascular catheter was the most frequent source (177 cases, 42.9%), followed by unknown sources (63 cases, 15.3%), and skin and soft tissue (62 cases, 15.0%). Eighty-three (20.1%) cases were methicillin-resistant. Complicated bacteremia was diagnosed in 157 patients (38.0%) and infective endocarditis in 24 patients (5.8%). Patients included in the OPAT group were younger, with lower rates of chronic renal failure but higher rates of cardiac and malignancy comorbidities. The most frequent source of bacteremia in OPAT patients was the vascular catheter (62.0% vs. 31.9%, p < 0.001), while an unknown source (8.7% vs. 19.9%, p = 0.005) and a respiratory tract focus (2.0% vs. 9.1%, p = 0.005) were significantly less common. Patients from the OPAT group presented higher rates of complicated bacteremia (45.3% vs. 33.8%, p = 0.027), especially those due to distant metastatic foci (10.0% vs. 4.6%, p = 0.032), the presence of a valve prosthesis (7.3% vs. 3.0%, p = 0.045) or an intracardiac device (12.7% vs. 4.2%, p = 0.001). Persistent fever >72 h was more frequent in the full hospitalization group. The median length of hospital treatment before OPAT was 10 days (IQR 6–14) with a significantly shorter duration of hospital stay. Overall, the most frequent targeted treatments were cloxacillin (n = 115, 27.8%), cefazolin (n = 107, 25.9%), daptomycin (n = 58, 14.0%) and vancomycin (n = 18, 4.4%). Other antibiotics used were linezolid (n = 17, 4.1%), levofloxacin (n = 7, 1.7%), clindamycin (n = 7, 1.7%), teicoplanin (n = 6, 1.5%), and other beta-lactams in 12 patients (4 amoxicillin clavulanic; 4 piperacillin tazobactam; 2 meropenem; and 2 ceftriaxone). Thirty-nine patients in the full hospitalization cohort (14.8%) received combination therapy, with cloxacillin plus daptomycin (n = 20, 4.8%), cloxacillin plus vancomycin (n = 6, 1.5%) and cefazolin plus daptomycin (n = 3, 0.7%) being the most common combinations. The remaining patients (n = 9, 2.2%) received a combination with an aminoglycoside and one (0.2%) daptomycin plus fosfomycin. Data on targeted therapy were missing in 27 patients (6.5%).

In the OPAT cohort, the targeted treatment administered after hospitalization was a monotherapy regimen in all cases. The most frequent treatment was cefazolin (n = 77, 51.3%), followed by cloxacillin in 43 patients (28.7%), daptomycin (n = 18, 12.0%), vancomycin (n = 4, 2.7%), and teicoplanin (n = 4, 2.7%). Overall, the rate of treatment failure at 60 days was 26.2% (108/413), being lower in the OPAT group than in the full hospitalization group (p < 0.001). Table 2 shows the bivariate analysis of 60-day treatment failure.

Table 2.

Bivariate analysis of variables associated with 60-day treatment failure (including 60-day mortality and/or 60-day relapse).

Treatment Failure
(n = 108)
Treatment Success
(n = 305)
p Value OR (95% CI)
OPAT group 15 (13.9%) 135 (44.3%) <0.001 0.203 (0.113–0.367)
Age ≥ 65 years 79 (73.1%) 161 (52.8%) <0.001 2.436 (1.506–3.943)
Male sex 74 (68.5%) 209 (68.8%) 0.964 0.989 (0.616–1.588)
Comorbidities
  Charlson index ≥ 2 81 (75.0%) 209 (68.5%) 0.206 1.378 (0.837–2.268)
  Diabetes mellitus 29 (26.9%) 92 (30.2%) 0.516 0.850 (0.520–1.388)
  COPD 21 (19.4%) 36 (11.8%) 0.048 1.804 (1.000–3.254)
  Chronic renal failure 34 (31.5%) 68 (22.3%) 0.057 1.601 (0.984–2.607)
  Chronic heart failure 26 (24.1%) 65 (21.3%) 0.552 1.171 (0.696–1.968)
  Malignancy 39 (36.1%) 98 (32.1%) 0.450 1.194 (0.753–1.892)
  Chronic liver disease 11 (10.2%) 24 (7.9%) 0.458 1.328 (0.627–2.811)
  Dialysis therapy 9 (8.3%) 22 (7.2%) 0.704 1.169 (0.521–2.625)
  Immunosuppression 11 (10.2%) 29 (9.5%) 0.838 1.079 (0.519–2.243)
Acquisition of infection
  Community-acquired 30 (27.8%) 71 (23.3%) 0.350 1.268 (0.771–2.085)
Department
  Medical 98 (90.7%) 249 (81.9%) 0.031 2.165 (1.061–4.417)
Source of infection
  Vascular catheter 32 (29.6%) 145 (47.5%) 0.001 0.465 (0.290–0.744)
  Osteoarticular 5 (4.6%) 19 (6.2%) 0.541 0.731 (0.266–2.007)
  Unknown 24 (22.2%) 39 (12.8%) 0.019 1.949 (1.108–3.427)
  Respiratory tract 9 (8.3%) 18 (5.9%) 0.380 1.449 (0.631–3.331)
  Intra-abdominal 6 (5.6%) 3 (1.0%) 0.012 5.922 (1.454–24.108)
  Skin and soft tissues 18 (16.7%) 44 (14.4%) 0.575 1.186 (0.652–2.158)
  Endocarditis or vascular prosthesis 6 (5.6%) 15 (4.9%) 0.796 1.137 (0.430–3.010)
  Others 6 (4.6%) 11 (3.6%) 0.401 1.572 (0.567–4.360)
Methicillin-resistant S. aureus 34 (31.5%) 49 (16.1%) 0.001 2.400 (1.444–3.990)
Complicated bacteremia 55 (50.9%) 102 (33.4%) 0.001 2.065 (1.322–3.226)
  Endocarditis 7 (6.5%) 17 (5.6%) 0.729 1.174 (0.473–2.914)
  Metastatic distant foci 10 (9.3%) 17 (5.6%) 0.183 1.729 (0.766–3.902)
  Persistent bacteremia 24 (22.2%) 21 (6.9%) <0.001 3.864 (2.049–7.286)
  Persistent fever > 72 h 20 (18.5%) 23 (7.5%) 0.001 2.787 (1.462–5.313)
  Vascular prosthesis 4 (3.7%) 8 (2.6%) 0.521 1.428 (0.421–4.841)
  Valve prosthesis 4 (3.7%) 15 (4.9%) 0.791 0.744 (0.241–2.291)
  Orthopedic prosthesis 7 (6.5%) 16 (5.2%) 0.630 1.252 (0.501–3.131)
  Intracardiac device 8 (7.4%) 22 (7.2%) 0.947 1.029 (0.444–2.385)

Age over 65 years, chronic obstructive pulmonary disease, medical department as service in charge, intra-abdominal or unknown source of infection, MRSA strain and complicated bacteremia were statistically associated with higher crude rates of 60-day treatment failure. However, the number of treatment failure events at 60 days was lower in vascular catheter-related bacteremia (p = 0.001). The multivariate logistic analysis is shown in Table 3.

Table 3.

Multivariate logistic regression analysis for OPAT program on 60-day treatment failure.

p Value Adjusted OR (95% CI) a
OPAT therapy 0.001 0.275 (0.129–0.584)
Age ≥ 65 years 0.061 1.719 (0.975–3.030)
Comorbidities
  COPD 0.049 2.076 (1.002–4.299)
  Chronic renal failure 0.468 1.258 (0.677–2.335)
  Chronic heart failure 0.833 1.083 (0.514–2.283)
  Malignancy 0.039 1.869 (1.033–3.380)
Medical department 0.036 2.455 (1.061–5.680)
Source of infection
  Vascular catheter 0.420 0.758 (0.387–1.485)
  Unknown 0.506 1.265 (0.633–2.531)
  Intra-abdominal 0.088 4.264 (0.807–22.525)
Methicillin-resistant S. aureus 0.017 2.125 (1.147–3.935)
Complicated bacteremia <0.001 2.967 (1.722–5.109)
High-risk center 0.001 3.389 (1.629–7.049)

a The propensity score for being treated in OPAT was included in the analysis.

No significant interactions were found between covariates. A PS for treatment in an OPAT program was calculated; the model showed a p value of 0.180 for the Hosmer–Lemeshow goodness-of-fit test and an area under the receiver operating characteristic curve of 0.829 (95% CI 0.790–0.868), showing high predictive ability for the observed data. In multivariate analysis, including PS and center effect as covariates, 60-day treatment failure was lower in the OPAT group than in the full hospitalization therapy group (p = 0.001; OR 0.275; 95% CI 0.129–0.584). Patients were then stratified according to PS quartiles (Figure 2).

Figure 2.

Figure 2

Sixty-day treatment failure stratified according to propensity score quartiles for being treated in the OPAT program (Q1, Q2, Q3, Q4). Data in the table are number of failures (death and/or relapse) / number of patients in each therapeutic modality group (percentage).

Except for the 1st and 4th quartile, where differences did not reach statistical significance, the rates of treatment failure were lower in patients treated in OPAT. Cases from the OPAT and full hospitalization groups were then matched according to PS, which yielded 101 matched pairs (202/413, 48.9% of cases). As shown in Table 4, the baseline characteristics of the matched patients were similar and confirmed that they were well balanced. In this analysis, the sensitivity of the association between treatment in OPAT and failure was less precise, but no association with an increased risk of treatment failure at 60 days could be established (p = 0.253; adjusted OR 0.660; % CI 0.324–1.345).

Table 4.

Crude and multivariate analysis of matched cases according to propensity score.

Crude Analysis a Adjusted Analysis b
All Cases
(n = 202)
OPAT Group
(n = 101)
Full Hospital-Based Therapy (n = 101) p Value OR Adjusted (95%CI) p Value
Median age (IQR) 65 (53–76) 64 (53–77) 65 (54–76) 0.790 c
Age ≥ 65 years 102 (50.5%) 50 (49.5%) 52 (51.5%) 0.778 0.983 (0.658–1.469) 0.932
Comorbidities
  Charlson index ≥ 2 144 (71.3%) 70 (69.3%) 74 (73.3%) 0.534 0.874 (0.560–1.365) 0.554
  Diabetes mellitus 61 (30.2%) 29 (28.7%) 32 (31.7%) 0.646
  COPD 24 (11.9%) 12 (11.9%) 12 (11.9%) 1.000
  Chronic renal failure 36 (17.8%) 17 (16.8%) 19 (18.8%) 0.713
  Chronic heart failure 52 (25.7%) 26 (25.7%) 26 (25.7%) 1.000
  Malignancy 82 (40.6%) 44 (43.6%) 38 (37.6%) 0.390
  Chronic liver disease 19 (9.4%) 9 (8.9%) 10 (9.9%) 0.810
  Immunosuppressed 20 (9.9%) 7 (6.9%) 13 (12.9%) 0.158
Nosocomial/healthcare acquisition 152 (75.2%) 77 (76.2%) 75 (74.3%) 0.744
Medical department 170 (84.6%) 84 (83.2%) 86 (86.0%) 0.578 0.882 (0.506–1.536) 0.656
Source of infection
  Vascular catheter 108 (53.5%) 56 (55.4%) 52 (51.5%) 0.573 1.109 (0.702–1.754) 0.656
  Unknown 26 (12.9%) 12 (11.9%) 14 (13.9%) 0.674 1.212 (0.602–2.439) 0.590
  Respiratory tract 7 (3.5%) 2 (2.0%) 5 (5.0%) 0.445 d
  Intra-abdominal 3 (1.5%) 0 3 (3.0%) 0.246 d
  Others e 58 (28.7%) 31 (30.7%) 27 (26.7%) 0.534
Methicillin-resistant S. aureus 23 (11.4%) 14 (13.9%) 9 (8.9%) 0.268 1.225 (0.689–2.179) 0.489
Complicated bacteremia 67 (33.2%) 35 (34.7%) 32 (31.7%) 0.654 0.645 1.108 (0.716–1.717)
  Infective endocarditis 9 (4.5%) 4 (4.0%) 5 (5.0%) 1.000 d
  Metastatic distant foci 11 (5.4%) 7 (6.9%) 4 (4.0%) 0.352
  Persistent bacteremia 16 (7.9%) 8 (7.9%) 8 (7.9%) 1.000
  Persistent fever > 72 h 9 (4.5%) 5 (5.0%) 4 (4.0%) 1.000
  Vascular prosthesis 7 (3.5%) 3 (3.0%) 4 (4.0%) 1.000 d
  Valve prosthesis 12 (5.9%) 6 (5.9%) 6 (5.9%) 1.000
  Orthopedic prosthesis 12 (5.9%) 5 (5.0%) 7 (6.9%) 0.552
  Intracardiac device 17 (8.4%) 8 (7.9%) 9 (8.9%) 0.800
60-day overall mortality 28 (13.9%) 6 (5.9%) 22 (21.8%) 0.001
Treatment failure 31 (15.3%) 9 (8.9%) 22 (21.8%) 0.011 0.660 (0.324–1.345) 0.253

Data are presented as n (%) unless otherwise indicated; center effect was included in multivariate analysis. a p values were calculated by x2 except otherwise indicated. b p values and OR were calculated by conditional logistic regression. c Mann–Whitney U-test. d Fisher test. e Osteoarticular, skin and soft tissues, endocarditis or vascular prosthesis, and others (urinary tract, nervous central system).

4. Discussion

The results of this study suggest that follow-up treatment in an OPAT program in well-selected patients with SAB is safe and is not associated with higher rates of mortality and/or relapse compared with a full course of in-hospital intravenous treatment. Given the characteristics of patients in the OPAT group, it would be especially applicable to younger patients without end-stage kidney disease, and with SAB secondary to “low-risk” sources, such as catheter-related bloodstream infections. The strict selection of patients eligible for OPAT would clearly explain their more favorable prognosis in this analysis. However, the aim of this study was to assess whether the lower risk population can be successfully treated in OPAT. After considering possible limitations and uncontrolled confounders, and balancing all these features according to PS and center effect, no association or trend between sequential OPAT and worse outcome was found.

A number of studies have analyzed the effectiveness and safety of OPAT in clinically stable patients with SAB [6,19,21,25,26,30]. Rehm et al. [26] conducted a post-hoc analysis of a randomized trial comparing daptomycin with standard therapy. In their study, patients with sequential treatment in OPAT were selected from the original cohort but, unlike our study, patients with clearance creatinine < 30 mL/min, osteomyelitis or pneumonia were excluded. The treatment failure rates (9.7% in the OPAT group vs. 26.8% in the inpatient group) were similar but slightly lower than those found in our study, particularly in patients who completed the entire treatment in the hospital setting. The rates of complicated bacteremia and endocarditis were similar to those in our study, reflecting the high rate of clinical success in OPAT. One difference is that, although patients were selected from a randomized trial, the trial was not designed to analyze outcomes in OPAT, so the baseline and clinical characteristics of patients between the two groups may have been unbalanced and not statistically controlled. Several retrospective studies have reported similar mortality or treatment failure rates, which were even lower when more restrictive criteria were used or deep-seated infections were excluded [19,21,25,30]. In those studies, readmissions and deaths were not directly related to OPAT complications (e.g., worsening of neoplastic disease or baseline comorbidities). Unfortunately, we were unable to collect this information in our cohort. Based on published data from previous studies, acquisition of SAB is frequently nosocomial, which worsens prognosis, increases the risk of mortality, and delays hospital discharge, as is the case in patients with catheter-related bloodstream infections [10,11]. Consequently, completion of therapy in an OPAT program to reduce hospital stay would appear to be safe. In our cohort, patients with deep-seated sources, such as respiratory tract or intra-abdominal infection; those from an unknown source; and those with end-stage kidney disease were more often fully treated in the inpatient setting, probably because outpatient management was more problematic.

In the last decade, reported data suggest that OPAT programs are safe and effective in infective endocarditis [6,7,8]. The small number of cases in our cohort does not allow conclusions to be drawn. Recently, a prospective analysis of patients with endocarditis managed in OPAT or hospital-only programs reported that 15.4% of endocarditis cases were secondary to S. aureus, with no differences in efficacy or safety between the two groups [7]. In a retrospective study of patients with infectious endocarditis treated in OPAT, Htin et al. [37] reported that 41% were linked to S. aureus. Of 28 patients with S. aureus endocarditis treated in the outpatient setting, only three developed complications (readmission, relapse, or death), caused by undrained foci of infection, which may be an important consideration for admission to an OPAT program. Other studies have reported heterogeneous results, depending on clinical characteristics, which is why well-designed studies on S. aureus endocarditis comparing OPAT with inpatient management are needed [6,9,38]. Outpatient management in endocarditis may be safe in well-selected patients, which includes those who are clinically and hemodynamically stable, do not have end-stage liver disease, undrained abscesses or septic emboli, have no complications requiring surgery, or microorganisms that are very difficult to treat [9].

Our study has the intrinsic limitations of an observational study, including the fact that the selection criteria for OPAT were based on the criteria of each hospital, as well as the potential effects of unmeasured variables and residual confounders. While most of those included in the OPAT group belonged to the DOMUS OPAT program and not to the PROBAC cohort, this would not affect the conclusion that OPAT appears to be safe in well-selected patients. It is possible that some of the causes of mortality were not directly related to S. aureus bacteremia, but the reasons for this were not available for analysis. A strength of the study is the use of advanced statistical methods to control for confounders. Furthermore, this is, to our knowledge, the first and largest study to compare treatment for SAB in OPAT versus conventional full hospitalization without restrictive criteria, reflecting real practice.

5. Conclusions

In conclusion, our results suggest that OPAT is a safe and effective option for completing treatment in well-selected patients with SAB, mainly those with a low-risk source and without end-stage kidney disease, as an alternative to conventional hospital treatment. Patients with nosocomial catheter-related bacteremia may be the most suitable patients for an OPAT program in order to reduce the length of hospital stay. The need to improve the quality of life for these patients and to reduce morbidity and hospitalization costs calls for randomized trials to identify the best candidates for an OPAT program when switching to oral therapy is not an option.

Acknowledgments

Juan Manuel Carmona-Caballero (Hospital Universitario Virgen del Rocío), Elena Fraile-Ramos (Hospital Universitario Virgen del Rocío), Rafael Luque Márquez (Hospital Universitario Virgen del Rocío), Julia Praena (Hospital Universitario Virgen del Rocío), María Victoria Gil-Navarro (Hospital Universitario Virgen del Rocío), José Ángel Pazos (Hospital Universitario Virgen del Rocío), Pilar Retamar Gentil (Hospital Universitario Virgen Macarena), and Zaira Palacios Baena (Hospital Universitario Virgen Macarena).

Author Contributions

Methodology, P.M.M.P.-C., J.R.B. and L.E.L.C.; Software, B.G.-G.; Validation, P.M.M.P.-C. and A.d.A.; Formal analysis, N.C.-F.; Investigation, P.M.M.P.-C., E.S.-R., L.H.-H., A.d.A., M.D.N.-A., T.M.C., M.T.P.-R., J.S.-B., A.J.-S., J.F.-S., C.A.-C., J.M.R.-I., C.N.K., L.B.-P., E.L.J., F.G.-S., A.d.A.J., A.B.-C., D.V.G., A.S.A., J.C.P., I.M.R.M., I.P.C. and E.M.d.L.; Resources, J.R.B. and L.E.L.C.; Data curation, N.C.-F., L.H.-H., B.G.-G., J.R.B. and L.E.L.C.; Writing—original draft, N.C.-F.; Writing—review and editing, J.R.B. and L.E.L.C.; Supervision, E.S.-R. and L.E.L.C.; Project administration, J.R.B. and L.E.L.C.; Funding acquisition, J.R.B. and L.E.L.C. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The activity of the DOMUS OPAT program has approval from the research ethics committees of the University Hospital Virgen del Rocio and the University Hospital Virgen Macarena. The PROBACT project was approved by the ethics committees of the participating centers, which waived the need for informed consent due to the observational design. This project has been registered in ClinicalTrials.gov (NCT03148769).

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

L.E.L.-C. has been scientific advisor for Angelini, speaker for Angelini, ViiV, Gilead and Correvio, and has served as trainer for ViiV. F.G.-S. has served as a speaker for Pfizer and Astellas. J.R.-B. has received honoraria from Merck for accredited educational activities. No other disclosures were reported.

Funding Statement

Supported by Instituto de Salud Carlos III, Subdirección General de Redes y Centros de Investigación Cooperativa, Ministerio de Ciencia, Innovación y Universidades, CIBERINFEC (CB21/13/00006; CB21/13/00012; CB21/13/00068; CB21/13/00083), co-financed by European Development Regional Fund “A way to achieve Europe”, Operative Program Intelligence Growth 2014-2020.

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.


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