Abstract

Background.

Airway-colonization by Staphylococcus aureus predisposes to the development of ventilator-associated tracheobronchitis (VAT) and ventilator-associated pneumonia (VAP). Despite extensive antibiotic treatment of intensive care unit patients, limited data are available on the efficacy of antibiotics on bacterial airway colonization and/or prevention of infections. Therefore, microbiologic responses to antibiotic treatment were evaluated in ventilated patients.

Methods.

Results of semiquantitative analyses of S. aureus burden in serial endotracheal-aspirate (ETA) samples and VAT/VAP diagnosis were correlated to antibiotic treatment. Minimum inhibitory concentrations of relevant antibiotics using serially collected isolates were evaluated.

Results.

Forty-eight mechanically ventilated patients who were S. aureus positive by ETA samples and treated with relevant antibiotics for at least 2 consecutive days were included in the study. Vancomycin failed to reduce methicillin-resistant S. aureus (MRSA) or methicillin-susceptible S. aureus (MSSA) burden in the airways. Oxacillin was ineffective for MSSA colonization in approximately 30% of the patients, and responders were typically coadministered additional antibiotics. Despite antibiotic exposure, 15 of the 39 patients (approximately 38%) colonized only by S. aureus and treated with appropriate antibiotic for at least 2 days still progressed to VAP. Importantly, no change in antibiotic susceptibility of S. aureus isolates was observed during treatment. Staphylococcus aureus colonization levels inversely correlated with the presence of normal respiratory flora.

Conclusions.

Antibiotic treatment is ineffective in reducing S. aureus colonization in the lower airways and preventing VAT or VAP. Staphylococcus aureus is in competition for colonization with the normal respiratory flora. To improve patient outcomes, alternatives to antibiotics are urgently needed.

(See the Editorial Commentary by Burnham and Kollef on pages 1089–91.)

Ventilator-associated pneumonia (VAP) is a life-threatening disease. Consequently, several preventive strategies, often implemented as a bundle, have been tested to decrease VAP incidence [1]. One of the most common causative pathogens of VAP is Staphylococcus aureus.

The endotracheal tube significantly reduces tracheobronchial mucus flow, resulting in retained secretions. Heavy bacterial airway colonization that can be assessed by quantitative or semiquantitative microbiological analysis of respiratory samples (such as endotracheal aspirate, bronchoalveolar lavage, or protected specimen brush) is a significant predisposing factor for the development of VAP [2, 3]. Therefore, reducing the S. aureus burden on mucosal surfaces would be expected to reduce the rate of progression to VAP [4–6]. Ventilator-associated tracheobronchitis (VAT) is considered to be an intermediate process between lower respiratory tract colonization and VAP, and several studies suggest that 20% to 30% of patients with VAT progress to VAP [7]. There are controversial data as to whether early appropriate therapy of VAT prevents progression to VAP [7, 8]. Moreover, the diagnosis of VAT is not trivial due to difficulties in differentiating VAT from colonization or VAP (low sensitivity of chest portable radiographs, patients with radiographic abnormalities). Treatment guidelines do not recommend antibiotics for airway colonization in mechanically ventilated patients. Despite this, many patients on mechanical ventilation receive antibiotics either as a defensive strategy to prevent potentially life-threatening infections or as a response to symptoms that indicate infection (e.g., fever and leukocytosis). Oxacillin is the most commonly used antibiotic against methicillin- susceptible S. aureus (MSSA), while most methicillin-resistant S. aureus (MRSA) infections are treated with vancomycin or linezolid. Due to the high prevalence of MRSA in the United States, MSSA-infected patients are often treated with vancomycin, typically as a result of initiation of empiric antibiotic therapy.

Since no information is available on the effectiveness of antibiotics in altering lower airway colonization, we analyzed the microbiological response to antibiotics active against S. aureus determined by semiquantitative (SQ) bacterial assessment in serially collected endotracheal aspirate (ETA) samples of ventilated patients.

METHODS

Study Population

ETA samples from 231 patients hospitalized between May 2010 and December 2010 in 3 intensive care units (ICUs) at the Lahey Hospital and Medical Center (Burlington, Massachusetts) were collected for a previously published study [4].

The SQ bacterial burden in the lower airways was determined in 1258 ETA samples obtained from the 231 patients. SQ counts revealed “heavy colonization” defined as moderate (3+) or many (4+) bacteria, which relates to ≥105 to 106 colony-forming units/mL by quantitative ETA analysis [3, 4]. SQ counts below these thresholds represent “light colonization.” The microbial characteristics of study patients’ isolates were described previously [9].

Forty-eight patients were included in this study based on S. aureus–positive ETA samples and treatment with S. aureus–relevant antibiotics (vancomycin, oxacillin, linezolid) for at least 2 consecutive days. Clinically customary doses of these antibiotics were administered intravenously. Unless the physician ordered the microbiological analysis for diagnostic purposes, pathogens identified in the daily ETA specimens were not reported to the treating physicians and therefore did not influence antibiotic choices. Serum levels of antibiotics were not determined.

Bacterial burden and antibiotic treatment were monitored for each patient daily during the study period and reviewed retrospectively. Microbial response to antibiotic treatment was defined as the reduction of S. aureus burden from heavy to light or no colonization upon treatment with S. aureus–active antibiotics.

A total of 292 ETA samples from 56 patients contained S. aureus. Seven of these patients were treated with S. aureus–active antibiotics for fewer than 2 consecutive days and 1 patient was reported with S. aureus community-acquired pneumonia at admission. Therefore, these 8 patients were excluded from subsequent analyses, resulting in 21 study patients positive for MRSA and 27 study patients positive for MSSA.

Diagnosis of VAT was based on heavy colonization and at least 2 of the following 3 additional clinical criteria: fever or hypothermia, leukocytosis or leukopenia, and purulent respiratory secretion. VAP was diagnosed as for VAT with additional new infiltrate on chest radiographs.

Normal respiratory flora (NRF) in ETA samples were reported and classified by recovery of microorganisms such as α-hemolytic Streptococcus spp., apathogenic Neisseria spp., Corynebacterium spp., Bacteroides spp., Fusobacterium spp., Spirochaetes, and Candida spp.

The Lahey Clinic Institutional Review Board approved the research protocols.

Microbial Genetics and Antimicrobial Susceptibility Testing

Strains were cultured and maintained using standard microbiological procedures. Hemolysis profiling and genotyping (multilocus sequence typing (MLST), spa-typing) of this collection were published previously [9]. The antimicrobial susceptibility of S. aureus isolates was determined as minimum inhibitory concentrations (MICs) for vancomycin, linezolid, oxacillin, cefepime, ceftriaxone, and ciprofloxacin, tested by agar diffusion (Etest, bioMérieux, Austria) in accordance with the actual European Committee on Antimicrobial Susceptibility Testing (EUCAST) guidelines for clinical breakpoints of microbial resistance.

Statistical Data Analyses

Data were analyzed by group comparison based on 2-tailed, unpaired t test with Welch’s correction and Fisher exact 2-tailed probability tests using Prism 6 software (GraphPad, La Jolla, California). Methods used for each dataset are described in the text and the figure legends.

RESULTS

Low Efficacy of Antibiotics Against MRSA and MSSA Airway Colonization and in Preventing VAT or VAP

Staphylococcus aureus–positive ETA samples were recovered from 56 of the 231 patients enrolled; all patients were treated with antibiotics. Forty-eight of these 56 patients received anti-S. aureus relevant antibiotics for at least 2 consecutive days before ETA sampling was included in this study (Supplementary Figure 1). MSSA and MRSA isolates were recovered from 27 and 21 patients, respectively. Nine of the 48 patients were co-colonized by other bacterial species; some of them are potential pathogens (eg, Klebsiella spp., Escherichia coli, Pseudomonas aeruginosa, Proteus mirabilis, Acinetobacter baumannii, and Serratia marcescens). Patient demographics and baseline characteristics are provided in Table 1. As reported previously for patients from this study [9], significantly more VAP patients were infected with MSSA than with MRSA strains. Furthermore, S. aureus VAP patients spent significantly more time on a ventilator in the ICU and the hospital than those diagnosed with S. aureus VAT or colonization. The Charlson comorbidity index was not higher in VAP patients. Because no significant differences in other baseline characteristics were found between the MSSA and MRSA colonized patients, the study-patient population was not further stratified.

Table 1.

Demographics of Study Patients

Non-VAPP ValueP Value
VAPVAT/ColonizedMRSAMSSA
(n = 16a)(n = 14a/n = 18)(n = 21)(n = 27)
Demographic Factor
 Age, y59.63 ± 12.86b65.91 ± 2.495b.1323c66.33 ± 12.63b61.85 ± 14.74b.2631c
 Male, n (%)8 (50.0)21 (65.6).3568d14 (66.7)15 (55.6).5553d
 Race
  Asian, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
  Black, n (%)1 (6.3)0 (0.0).3333d0 (0.0)1 (3.7)1.0000d
  White, n (%)15 (93.7)31 (96.9)1.0000d21 (100.0)25 (92.6).4973d
  Hispanic, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
  Body mass index27.39 ± 7.25b33.11 ± 2.191b.0502c33.26 ± 14.56b29.61 ± 17.61b.3044c
  Surgical intensive care unit, n (%)9 (56.3)7 (21.9).0250d4 (19.0)12 (44.5).0752d
  Medical intensive care unit, n (%)7 (43.7)25 (78.1)17 (81.0)15 (55.5)
Confounding Factor
 Chronic obstructive pulmonary disease, n (%)0 (0.0)2 (6.3)1.0000d2 (9.5)0 (0.0).1862d
 Previous pneumonia, n (%)0 (0.0)6 (18.8).1595d4 (19.0)2 (7.4).3827d
 Immunosuppression, n (%)0 (0.0)2 (6.3).5461d2 (9.5)0 (0.0).1862d
 Steroid use, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
 Neutropenia, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
 White blood cell count (×103)12.12 ± 5.43b13.79 ± 1.58b.4280c15.42 ± 8.25b11.53 ± 7.40b.0986c
 Past or current smoker, n (%)6 (37.5)11 (34.4)1.0000d9 (42.9)10 (37.0).7701d
Clinical Status
 Charlson comorbidity index1.06 ± 1.12b2.03 ± 0.34b.0343c2.10 ± 1.95b1.41 ± 1.58b.1954c
  Acute Physiology and Chronic Health Evaluation II17.32 ± 4.63b18.23 ± 1.094b.5724c17.32 ± 3.71b18.39 ± 6.88b.4958c
 GCS, (n)13.25 ± 0.50b (4)12.75 ± 0.86b (12).5875c13.50 ± 2.72b (8)12.25 ± 2.43b (8).3500c
 GCS of patients intubated prior to scoring, n7.00 ± 2.17b (12)10.10 ± 2.96b (20).3173c12.23 ± 16.21b (13)6.68 ± 1.83b (19).2425c
 Acute renal failure, n (%)2 (12.5)7 (21.9).6974d5 (23.8)4 (14.8).4772d
 Chronic organ insufficiency, n (%)2 (12.5)6 (18.8).7012d3 (14.3)5 (18.5)1.0000d
Outcome
 Mortality in hospital, n (%)3 (18.8)9 (28.1).7252d6 (28.6)6 (22.2).7406d
 Duration of hospitalization, days28.81 ± 12.06b18.78 ± 1.606b.0072c18.10 ± 8.84b25.26 ± 11.84b.0205c
 Duration of hospitalization prior to ICU stay, days1.31 ± 1.85b2.16 ± 0.75b.3429c1.86 ± 4.03b1.89 ± 3.34b.9769c
 Duration of hospitalization prior to ventilation, days4.75 ± 3.84b5.34 ± 0.89b.6530c4.76 ± 4.57b5.44 ± 4.77b.6170c
 Duration of ICU stay, days25.75 ± 9.65b13.88 ± 1.43b.0003c13.43 ± 7.23b21.26 ± 11.01b.0049c
 Duration of ICU stay prior to ventilation, days3.44 ± 3.78b3.19 ± 0.34b.8060c2.90 ± 1.64b3.56 ± 3.23b.3693c
 Duration of ventilation, days11.94 ± 5.30b6.66 ± 0.64b.0016c6.95 ± 4.36b9.56 ± 5.06b.0622c
Clinical Microbiology
 Antibiotics prior to ICU stay, n (%)7 (43.8)22 (68.8).1237d16 (76.2)14 (51.9).1331d
 Antibiotics during ICU stay, n (%)16 (100.0)32 (100)NA21 (100.0)27 (100.0)NA
 First day of heavy colonization3.44 ± 2.89b3.09 ± 0.50b.6987c3.10 ± 2.17b3.30 ± 3.28b.7999c
 MRSA, n (%)3 (18.8)18 (56.3).0164d21 (100.0)0 (0.0) NA
 MSSA, n (%)13 (81.2)14 (43.7)0 (0.0)27 (100.0)
Non-VAPP ValueP Value
VAPVAT/ColonizedMRSAMSSA
(n = 16a)(n = 14a/n = 18)(n = 21)(n = 27)
Demographic Factor
 Age, y59.63 ± 12.86b65.91 ± 2.495b.1323c66.33 ± 12.63b61.85 ± 14.74b.2631c
 Male, n (%)8 (50.0)21 (65.6).3568d14 (66.7)15 (55.6).5553d
 Race
  Asian, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
  Black, n (%)1 (6.3)0 (0.0).3333d0 (0.0)1 (3.7)1.0000d
  White, n (%)15 (93.7)31 (96.9)1.0000d21 (100.0)25 (92.6).4973d
  Hispanic, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
  Body mass index27.39 ± 7.25b33.11 ± 2.191b.0502c33.26 ± 14.56b29.61 ± 17.61b.3044c
  Surgical intensive care unit, n (%)9 (56.3)7 (21.9).0250d4 (19.0)12 (44.5).0752d
  Medical intensive care unit, n (%)7 (43.7)25 (78.1)17 (81.0)15 (55.5)
Confounding Factor
 Chronic obstructive pulmonary disease, n (%)0 (0.0)2 (6.3)1.0000d2 (9.5)0 (0.0).1862d
 Previous pneumonia, n (%)0 (0.0)6 (18.8).1595d4 (19.0)2 (7.4).3827d
 Immunosuppression, n (%)0 (0.0)2 (6.3).5461d2 (9.5)0 (0.0).1862d
 Steroid use, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
 Neutropenia, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
 White blood cell count (×103)12.12 ± 5.43b13.79 ± 1.58b.4280c15.42 ± 8.25b11.53 ± 7.40b.0986c
 Past or current smoker, n (%)6 (37.5)11 (34.4)1.0000d9 (42.9)10 (37.0).7701d
Clinical Status
 Charlson comorbidity index1.06 ± 1.12b2.03 ± 0.34b.0343c2.10 ± 1.95b1.41 ± 1.58b.1954c
  Acute Physiology and Chronic Health Evaluation II17.32 ± 4.63b18.23 ± 1.094b.5724c17.32 ± 3.71b18.39 ± 6.88b.4958c
 GCS, (n)13.25 ± 0.50b (4)12.75 ± 0.86b (12).5875c13.50 ± 2.72b (8)12.25 ± 2.43b (8).3500c
 GCS of patients intubated prior to scoring, n7.00 ± 2.17b (12)10.10 ± 2.96b (20).3173c12.23 ± 16.21b (13)6.68 ± 1.83b (19).2425c
 Acute renal failure, n (%)2 (12.5)7 (21.9).6974d5 (23.8)4 (14.8).4772d
 Chronic organ insufficiency, n (%)2 (12.5)6 (18.8).7012d3 (14.3)5 (18.5)1.0000d
Outcome
 Mortality in hospital, n (%)3 (18.8)9 (28.1).7252d6 (28.6)6 (22.2).7406d
 Duration of hospitalization, days28.81 ± 12.06b18.78 ± 1.606b.0072c18.10 ± 8.84b25.26 ± 11.84b.0205c
 Duration of hospitalization prior to ICU stay, days1.31 ± 1.85b2.16 ± 0.75b.3429c1.86 ± 4.03b1.89 ± 3.34b.9769c
 Duration of hospitalization prior to ventilation, days4.75 ± 3.84b5.34 ± 0.89b.6530c4.76 ± 4.57b5.44 ± 4.77b.6170c
 Duration of ICU stay, days25.75 ± 9.65b13.88 ± 1.43b.0003c13.43 ± 7.23b21.26 ± 11.01b.0049c
 Duration of ICU stay prior to ventilation, days3.44 ± 3.78b3.19 ± 0.34b.8060c2.90 ± 1.64b3.56 ± 3.23b.3693c
 Duration of ventilation, days11.94 ± 5.30b6.66 ± 0.64b.0016c6.95 ± 4.36b9.56 ± 5.06b.0622c
Clinical Microbiology
 Antibiotics prior to ICU stay, n (%)7 (43.8)22 (68.8).1237d16 (76.2)14 (51.9).1331d
 Antibiotics during ICU stay, n (%)16 (100.0)32 (100)NA21 (100.0)27 (100.0)NA
 First day of heavy colonization3.44 ± 2.89b3.09 ± 0.50b.6987c3.10 ± 2.17b3.30 ± 3.28b.7999c
 MRSA, n (%)3 (18.8)18 (56.3).0164d21 (100.0)0 (0.0) NA
 MSSA, n (%)13 (81.2)14 (43.7)0 (0.0)27 (100.0)

Bold values indicate statistically significant differences. Abbreviations: GCS, Glasgow coma scale; ICU, intensive care unit; MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus; NA, not applicable; VAP, ventilator-associated pneumonia; VAT, ventilator-associated tracheobronchitis.

a

1/16 VAP and 1/14 VAT patients were coinfected with another respiratory pathogen prior to or at the time of diagnosis.

b

Mean ± standard deviation are shown for the following: age; body mass index; white blood cell counts; Charlson comorbidity index; Acute Physiology and Chronic Health Evaluation II; GCS; GCS intubated; duration of: hospitalization, hospitalization prior to ICU stay, hospitalization prior to ventilation, ICU stay, ICU stay prior to ventilation, ventilation; and first day of heavy colonization categories.

c

Two-tailed, unpaired t test with Welch’s correction (MRSA vs MSSA).

d

Fisher exact 2-tailed test.

Table 1.

Demographics of Study Patients

Non-VAPP ValueP Value
VAPVAT/ColonizedMRSAMSSA
(n = 16a)(n = 14a/n = 18)(n = 21)(n = 27)
Demographic Factor
 Age, y59.63 ± 12.86b65.91 ± 2.495b.1323c66.33 ± 12.63b61.85 ± 14.74b.2631c
 Male, n (%)8 (50.0)21 (65.6).3568d14 (66.7)15 (55.6).5553d
 Race
  Asian, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
  Black, n (%)1 (6.3)0 (0.0).3333d0 (0.0)1 (3.7)1.0000d
  White, n (%)15 (93.7)31 (96.9)1.0000d21 (100.0)25 (92.6).4973d
  Hispanic, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
  Body mass index27.39 ± 7.25b33.11 ± 2.191b.0502c33.26 ± 14.56b29.61 ± 17.61b.3044c
  Surgical intensive care unit, n (%)9 (56.3)7 (21.9).0250d4 (19.0)12 (44.5).0752d
  Medical intensive care unit, n (%)7 (43.7)25 (78.1)17 (81.0)15 (55.5)
Confounding Factor
 Chronic obstructive pulmonary disease, n (%)0 (0.0)2 (6.3)1.0000d2 (9.5)0 (0.0).1862d
 Previous pneumonia, n (%)0 (0.0)6 (18.8).1595d4 (19.0)2 (7.4).3827d
 Immunosuppression, n (%)0 (0.0)2 (6.3).5461d2 (9.5)0 (0.0).1862d
 Steroid use, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
 Neutropenia, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
 White blood cell count (×103)12.12 ± 5.43b13.79 ± 1.58b.4280c15.42 ± 8.25b11.53 ± 7.40b.0986c
 Past or current smoker, n (%)6 (37.5)11 (34.4)1.0000d9 (42.9)10 (37.0).7701d
Clinical Status
 Charlson comorbidity index1.06 ± 1.12b2.03 ± 0.34b.0343c2.10 ± 1.95b1.41 ± 1.58b.1954c
  Acute Physiology and Chronic Health Evaluation II17.32 ± 4.63b18.23 ± 1.094b.5724c17.32 ± 3.71b18.39 ± 6.88b.4958c
 GCS, (n)13.25 ± 0.50b (4)12.75 ± 0.86b (12).5875c13.50 ± 2.72b (8)12.25 ± 2.43b (8).3500c
 GCS of patients intubated prior to scoring, n7.00 ± 2.17b (12)10.10 ± 2.96b (20).3173c12.23 ± 16.21b (13)6.68 ± 1.83b (19).2425c
 Acute renal failure, n (%)2 (12.5)7 (21.9).6974d5 (23.8)4 (14.8).4772d
 Chronic organ insufficiency, n (%)2 (12.5)6 (18.8).7012d3 (14.3)5 (18.5)1.0000d
Outcome
 Mortality in hospital, n (%)3 (18.8)9 (28.1).7252d6 (28.6)6 (22.2).7406d
 Duration of hospitalization, days28.81 ± 12.06b18.78 ± 1.606b.0072c18.10 ± 8.84b25.26 ± 11.84b.0205c
 Duration of hospitalization prior to ICU stay, days1.31 ± 1.85b2.16 ± 0.75b.3429c1.86 ± 4.03b1.89 ± 3.34b.9769c
 Duration of hospitalization prior to ventilation, days4.75 ± 3.84b5.34 ± 0.89b.6530c4.76 ± 4.57b5.44 ± 4.77b.6170c
 Duration of ICU stay, days25.75 ± 9.65b13.88 ± 1.43b.0003c13.43 ± 7.23b21.26 ± 11.01b.0049c
 Duration of ICU stay prior to ventilation, days3.44 ± 3.78b3.19 ± 0.34b.8060c2.90 ± 1.64b3.56 ± 3.23b.3693c
 Duration of ventilation, days11.94 ± 5.30b6.66 ± 0.64b.0016c6.95 ± 4.36b9.56 ± 5.06b.0622c
Clinical Microbiology
 Antibiotics prior to ICU stay, n (%)7 (43.8)22 (68.8).1237d16 (76.2)14 (51.9).1331d
 Antibiotics during ICU stay, n (%)16 (100.0)32 (100)NA21 (100.0)27 (100.0)NA
 First day of heavy colonization3.44 ± 2.89b3.09 ± 0.50b.6987c3.10 ± 2.17b3.30 ± 3.28b.7999c
 MRSA, n (%)3 (18.8)18 (56.3).0164d21 (100.0)0 (0.0) NA
 MSSA, n (%)13 (81.2)14 (43.7)0 (0.0)27 (100.0)
Non-VAPP ValueP Value
VAPVAT/ColonizedMRSAMSSA
(n = 16a)(n = 14a/n = 18)(n = 21)(n = 27)
Demographic Factor
 Age, y59.63 ± 12.86b65.91 ± 2.495b.1323c66.33 ± 12.63b61.85 ± 14.74b.2631c
 Male, n (%)8 (50.0)21 (65.6).3568d14 (66.7)15 (55.6).5553d
 Race
  Asian, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
  Black, n (%)1 (6.3)0 (0.0).3333d0 (0.0)1 (3.7)1.0000d
  White, n (%)15 (93.7)31 (96.9)1.0000d21 (100.0)25 (92.6).4973d
  Hispanic, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
  Body mass index27.39 ± 7.25b33.11 ± 2.191b.0502c33.26 ± 14.56b29.61 ± 17.61b.3044c
  Surgical intensive care unit, n (%)9 (56.3)7 (21.9).0250d4 (19.0)12 (44.5).0752d
  Medical intensive care unit, n (%)7 (43.7)25 (78.1)17 (81.0)15 (55.5)
Confounding Factor
 Chronic obstructive pulmonary disease, n (%)0 (0.0)2 (6.3)1.0000d2 (9.5)0 (0.0).1862d
 Previous pneumonia, n (%)0 (0.0)6 (18.8).1595d4 (19.0)2 (7.4).3827d
 Immunosuppression, n (%)0 (0.0)2 (6.3).5461d2 (9.5)0 (0.0).1862d
 Steroid use, n (%)0 (0.0)0 (0.0)NA0 (0.0)0 (0.0)NA
 Neutropenia, n (%)0 (0.0)1 (3.1)1.0000d0 (0.0)1 (3.7)1.0000d
 White blood cell count (×103)12.12 ± 5.43b13.79 ± 1.58b.4280c15.42 ± 8.25b11.53 ± 7.40b.0986c
 Past or current smoker, n (%)6 (37.5)11 (34.4)1.0000d9 (42.9)10 (37.0).7701d
Clinical Status
 Charlson comorbidity index1.06 ± 1.12b2.03 ± 0.34b.0343c2.10 ± 1.95b1.41 ± 1.58b.1954c
  Acute Physiology and Chronic Health Evaluation II17.32 ± 4.63b18.23 ± 1.094b.5724c17.32 ± 3.71b18.39 ± 6.88b.4958c
 GCS, (n)13.25 ± 0.50b (4)12.75 ± 0.86b (12).5875c13.50 ± 2.72b (8)12.25 ± 2.43b (8).3500c
 GCS of patients intubated prior to scoring, n7.00 ± 2.17b (12)10.10 ± 2.96b (20).3173c12.23 ± 16.21b (13)6.68 ± 1.83b (19).2425c
 Acute renal failure, n (%)2 (12.5)7 (21.9).6974d5 (23.8)4 (14.8).4772d
 Chronic organ insufficiency, n (%)2 (12.5)6 (18.8).7012d3 (14.3)5 (18.5)1.0000d
Outcome
 Mortality in hospital, n (%)3 (18.8)9 (28.1).7252d6 (28.6)6 (22.2).7406d
 Duration of hospitalization, days28.81 ± 12.06b18.78 ± 1.606b.0072c18.10 ± 8.84b25.26 ± 11.84b.0205c
 Duration of hospitalization prior to ICU stay, days1.31 ± 1.85b2.16 ± 0.75b.3429c1.86 ± 4.03b1.89 ± 3.34b.9769c
 Duration of hospitalization prior to ventilation, days4.75 ± 3.84b5.34 ± 0.89b.6530c4.76 ± 4.57b5.44 ± 4.77b.6170c
 Duration of ICU stay, days25.75 ± 9.65b13.88 ± 1.43b.0003c13.43 ± 7.23b21.26 ± 11.01b.0049c
 Duration of ICU stay prior to ventilation, days3.44 ± 3.78b3.19 ± 0.34b.8060c2.90 ± 1.64b3.56 ± 3.23b.3693c
 Duration of ventilation, days11.94 ± 5.30b6.66 ± 0.64b.0016c6.95 ± 4.36b9.56 ± 5.06b.0622c
Clinical Microbiology
 Antibiotics prior to ICU stay, n (%)7 (43.8)22 (68.8).1237d16 (76.2)14 (51.9).1331d
 Antibiotics during ICU stay, n (%)16 (100.0)32 (100)NA21 (100.0)27 (100.0)NA
 First day of heavy colonization3.44 ± 2.89b3.09 ± 0.50b.6987c3.10 ± 2.17b3.30 ± 3.28b.7999c
 MRSA, n (%)3 (18.8)18 (56.3).0164d21 (100.0)0 (0.0) NA
 MSSA, n (%)13 (81.2)14 (43.7)0 (0.0)27 (100.0)

Bold values indicate statistically significant differences. Abbreviations: GCS, Glasgow coma scale; ICU, intensive care unit; MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus; NA, not applicable; VAP, ventilator-associated pneumonia; VAT, ventilator-associated tracheobronchitis.

a

1/16 VAP and 1/14 VAT patients were coinfected with another respiratory pathogen prior to or at the time of diagnosis.

b

Mean ± standard deviation are shown for the following: age; body mass index; white blood cell counts; Charlson comorbidity index; Acute Physiology and Chronic Health Evaluation II; GCS; GCS intubated; duration of: hospitalization, hospitalization prior to ICU stay, hospitalization prior to ventilation, ICU stay, ICU stay prior to ventilation, ventilation; and first day of heavy colonization categories.

c

Two-tailed, unpaired t test with Welch’s correction (MRSA vs MSSA).

d

Fisher exact 2-tailed test.

Heavy colonization developed early during mechanical ventilation; in 60% of patients, it was detected by day 4 and in 92% of patients during the first 8 days post-intubation. No significant difference was observed in the temporal patterns of MSSA and MRSA colonization (Figure 1).

Time course of detecting heavy endotracheal colonization by Staphylococcus aureus in ventilated patients. The actual day of detecting the first heavy S. aureus endotracheal aspirate colonization is shown for the 48 study patients on mechanical ventilation between days 3 and 16 following intubation. Percentage ratios of methicillin-resistant Staphylococcus aureus and methicillin-susceptible Staphylococcus aureus is depicted with the total number of patients per cohort indicated on top of each bar. Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus.
Figure 1.

Time course of detecting heavy endotracheal colonization by Staphylococcus aureus in ventilated patients. The actual day of detecting the first heavy S. aureus endotracheal aspirate colonization is shown for the 48 study patients on mechanical ventilation between days 3 and 16 following intubation. Percentage ratios of methicillin-resistant Staphylococcus aureus and methicillin-susceptible Staphylococcus aureus is depicted with the total number of patients per cohort indicated on top of each bar. Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus.

Eighteen of the 21 patients with MRSA colonization were treated with vancomycin for at least 2 consecutive days (Table 2). However, only 1 of them showed reduced bacterial burden in the serial ETA samples. The 3 MRSA patients who received linezolid did not have a microbiological response (Table 2). Vancomycin was also used in 15 patients colonized by MSSA; 9 of these were nonresponders to vancomycin treatment. In the remaining 6 patients who exhibited a decreasing tendency in bacterial counts (from heavy to light), vancomycin was used in combination with other S. aureus–active antibiotics such as penicillins (oxacillin or nafcillin), cephalosporins (cefepime, cefazoline, or ceftriaxone), or fluoroquinolones (ciprofloxacin or levofloxacin; Table 2). The 7 S. aureus–colonized patients, excluded from the analysis due to treatment with antibiotics for fewer than 2 consecutive days, were also treated with vancomycin, and 2 of the 3 MSSA-colonized patients were treated with oxacillin in addition to vancomycin.

Table 2.

Effect of Selected Anti-Staphylococcus aureus Antibiotics on the Microbial Response in Endotracheal Aspirate Samples and Disease Progression

Treatment and Response GroupNumber of Patients Exposed for Given Days to Respective Antibiotic Prior to Detection of First Heavy Colonization (colonized/VAT/VAP)Total Number per Response GroupTotal, %Total per Response Group, %Minimum Inhibitory Concentration of Isolates to Respective Antibiotic, µg/mL
2 days3 days4 days5 days6 days7 days8 days9 days≥10 days
Vancomycin—MRSA (n = 18)
Nonresponding to antibiotics0/1/01/0/00/1/03/0/02/0/01/1/10/1/11/1/01/0/19/5/350.0/27.8/16.794.41.00 (0.75; 1.00)
Responding to single antibiotic0/0/10/0/10.0/0.0/5.65.61.00 (1.00)
Responding to antibiotic combination
Linezolid—MRSA (n = 3)
Nonresponding to antibiotics0/0/10/0/11/0/01/0/233.3/0.0/66.7100.00.75 (0.50; 0.75)
Responding to single antibiotic
Responding to antibiotic combination
Vancomycin—MSSA (n = 15)
Nonresponding to antibiotics0/0/10/0/10/1/10/0/10/2/00/0/20/3/60.0/20.0/40.060.01.00 (0.75; 1.00)
Responding to single antibiotic
Responding to antibiotic combination0/1/01/1/00/0/10/1/11/3/26.7/20.0/13.340.01.00 (0.75; 1.00)
Oxacillin—MSSA (n = 9)
Nonresponding to antibiotics0/0/10/0/10/0/20.0/0.0/22.222.20.38 (0.13; 0.75)
Responding to single antibiotic0/0/10/0/10.0/0.0/11.111.10.50 (0.50)
Responding to antibiotic combination0/1/20/1/00/0/10/0/10/2/40.0/22.2/44.466.70.75 (0.25; 1.00)
Treatment and Response GroupNumber of Patients Exposed for Given Days to Respective Antibiotic Prior to Detection of First Heavy Colonization (colonized/VAT/VAP)Total Number per Response GroupTotal, %Total per Response Group, %Minimum Inhibitory Concentration of Isolates to Respective Antibiotic, µg/mL
2 days3 days4 days5 days6 days7 days8 days9 days≥10 days
Vancomycin—MRSA (n = 18)
Nonresponding to antibiotics0/1/01/0/00/1/03/0/02/0/01/1/10/1/11/1/01/0/19/5/350.0/27.8/16.794.41.00 (0.75; 1.00)
Responding to single antibiotic0/0/10/0/10.0/0.0/5.65.61.00 (1.00)
Responding to antibiotic combination
Linezolid—MRSA (n = 3)
Nonresponding to antibiotics0/0/10/0/11/0/01/0/233.3/0.0/66.7100.00.75 (0.50; 0.75)
Responding to single antibiotic
Responding to antibiotic combination
Vancomycin—MSSA (n = 15)
Nonresponding to antibiotics0/0/10/0/10/1/10/0/10/2/00/0/20/3/60.0/20.0/40.060.01.00 (0.75; 1.00)
Responding to single antibiotic
Responding to antibiotic combination0/1/01/1/00/0/10/1/11/3/26.7/20.0/13.340.01.00 (0.75; 1.00)
Oxacillin—MSSA (n = 9)
Nonresponding to antibiotics0/0/10/0/10/0/20.0/0.0/22.222.20.38 (0.13; 0.75)
Responding to single antibiotic0/0/10/0/10.0/0.0/11.111.10.50 (0.50)
Responding to antibiotic combination0/1/20/1/00/0/10/0/10/2/40.0/22.2/44.466.70.75 (0.25; 1.00)

Total patient numbers (n) per treatment group are indicated per cohort stratified for the interval of antibiotic treatment and disease phenotype (colonized/VAT/VAP). Response group: level of reduction in Staphylococcus aureus numbers based on semiquantitative endotracheal aspirate analysis (from heavy to light colonization or no S. aureus recovered) by respective antibiotic per treatment group. VAT and/or VAP were diagnosed as previously described [4]. Minimum inhibitory concentration of S. aureus isolates to respective antibiotic per response group showing the median (lower; upper).

Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus; VAP, ventilator-associated pneumonia; VAT, ventilator-associated tracheobronchitis.

Table 2.

Effect of Selected Anti-Staphylococcus aureus Antibiotics on the Microbial Response in Endotracheal Aspirate Samples and Disease Progression

Treatment and Response GroupNumber of Patients Exposed for Given Days to Respective Antibiotic Prior to Detection of First Heavy Colonization (colonized/VAT/VAP)Total Number per Response GroupTotal, %Total per Response Group, %Minimum Inhibitory Concentration of Isolates to Respective Antibiotic, µg/mL
2 days3 days4 days5 days6 days7 days8 days9 days≥10 days
Vancomycin—MRSA (n = 18)
Nonresponding to antibiotics0/1/01/0/00/1/03/0/02/0/01/1/10/1/11/1/01/0/19/5/350.0/27.8/16.794.41.00 (0.75; 1.00)
Responding to single antibiotic0/0/10/0/10.0/0.0/5.65.61.00 (1.00)
Responding to antibiotic combination
Linezolid—MRSA (n = 3)
Nonresponding to antibiotics0/0/10/0/11/0/01/0/233.3/0.0/66.7100.00.75 (0.50; 0.75)
Responding to single antibiotic
Responding to antibiotic combination
Vancomycin—MSSA (n = 15)
Nonresponding to antibiotics0/0/10/0/10/1/10/0/10/2/00/0/20/3/60.0/20.0/40.060.01.00 (0.75; 1.00)
Responding to single antibiotic
Responding to antibiotic combination0/1/01/1/00/0/10/1/11/3/26.7/20.0/13.340.01.00 (0.75; 1.00)
Oxacillin—MSSA (n = 9)
Nonresponding to antibiotics0/0/10/0/10/0/20.0/0.0/22.222.20.38 (0.13; 0.75)
Responding to single antibiotic0/0/10/0/10.0/0.0/11.111.10.50 (0.50)
Responding to antibiotic combination0/1/20/1/00/0/10/0/10/2/40.0/22.2/44.466.70.75 (0.25; 1.00)
Treatment and Response GroupNumber of Patients Exposed for Given Days to Respective Antibiotic Prior to Detection of First Heavy Colonization (colonized/VAT/VAP)Total Number per Response GroupTotal, %Total per Response Group, %Minimum Inhibitory Concentration of Isolates to Respective Antibiotic, µg/mL
2 days3 days4 days5 days6 days7 days8 days9 days≥10 days
Vancomycin—MRSA (n = 18)
Nonresponding to antibiotics0/1/01/0/00/1/03/0/02/0/01/1/10/1/11/1/01/0/19/5/350.0/27.8/16.794.41.00 (0.75; 1.00)
Responding to single antibiotic0/0/10/0/10.0/0.0/5.65.61.00 (1.00)
Responding to antibiotic combination
Linezolid—MRSA (n = 3)
Nonresponding to antibiotics0/0/10/0/11/0/01/0/233.3/0.0/66.7100.00.75 (0.50; 0.75)
Responding to single antibiotic
Responding to antibiotic combination
Vancomycin—MSSA (n = 15)
Nonresponding to antibiotics0/0/10/0/10/1/10/0/10/2/00/0/20/3/60.0/20.0/40.060.01.00 (0.75; 1.00)
Responding to single antibiotic
Responding to antibiotic combination0/1/01/1/00/0/10/1/11/3/26.7/20.0/13.340.01.00 (0.75; 1.00)
Oxacillin—MSSA (n = 9)
Nonresponding to antibiotics0/0/10/0/10/0/20.0/0.0/22.222.20.38 (0.13; 0.75)
Responding to single antibiotic0/0/10/0/10.0/0.0/11.111.10.50 (0.50)
Responding to antibiotic combination0/1/20/1/00/0/10/0/10/2/40.0/22.2/44.466.70.75 (0.25; 1.00)

Total patient numbers (n) per treatment group are indicated per cohort stratified for the interval of antibiotic treatment and disease phenotype (colonized/VAT/VAP). Response group: level of reduction in Staphylococcus aureus numbers based on semiquantitative endotracheal aspirate analysis (from heavy to light colonization or no S. aureus recovered) by respective antibiotic per treatment group. VAT and/or VAP were diagnosed as previously described [4]. Minimum inhibitory concentration of S. aureus isolates to respective antibiotic per response group showing the median (lower; upper).

Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus; VAP, ventilator-associated pneumonia; VAT, ventilator-associated tracheobronchitis.

Oxacillin was used in 9 patients with MSSA in their ETA (7 diagnosed with VAP); 2 of them showed no response. In 7 patients the S. aureus burden was reduced during antibiotic treatment; 6 of these patients received combinations of up to 3 additional antibiotics such as vancomycin, ciprofloxacin, cefepime, ceftriaxone, levofloxacin, imipenem, and metronidazole (Table 2).

Despite appropriate antibiotic treatment for at least 2 consecutive days, 13 VAT cases and 15 VAP cases were diagnosed among the 39 patients colonized only by S. aureus. Five of the 13 patients (38.5%) diagnosed with S. aureus VAT progressed to VAP. In 8 of 15 (53.3%) S. aureus VAP patients, diagnosis was made within the first 5 days of mechanical ventilation (Figure 2).

Staphylococcus aureus ventilator-associated pneumonia (VAP) diagnosis in relation to the duration of mechanical ventilation. The cumulative sum of patients diagnosed with S. aureus VAP is plotted against time on the ventilator. Box and whiskers indicate the 5–95 percentiles for the days of VAP diagnosis. Abbreviation: VAP, ventilator-associated pneumonia.
Figure 2.

Staphylococcus aureus ventilator-associated pneumonia (VAP) diagnosis in relation to the duration of mechanical ventilation. The cumulative sum of patients diagnosed with S. aureus VAP is plotted against time on the ventilator. Box and whiskers indicate the 5–95 percentiles for the days of VAP diagnosis. Abbreviation: VAP, ventilator-associated pneumonia.

Long-term ventilated patients provided multiple samples (more than 8) and were analyzed in more detail (representative patients listed in Supplementary Figure 2). Without exception, these patients were exposed to several different antibiotics simultaneously. In most cases the heavy colonization by MSSA or MRSA could not be eliminated or was only temporarily eliminated, and VAT and/or VAP still developed in spite of long-term exposure to antibiotics (Supplementary Figure 2A–F).

To investigate whether the low efficacy of antibiotics originated from a decreasing susceptibility of S. aureus upon exposure during colonization, the antibiotic susceptibility profile of the first and last isolates from these patients (collected up to 14 days apart) was determined. Agar diffusion tests performed according to the EUCAST guidelines revealed that none of the isolate pairs displayed an MIC creep or change in antibiotic susceptibility over time. We also compared the vancomycin MIC values of isolates from responders with those of nonresponders and did not detect any significant differences or trend toward higher MICs in nonresponders (Table 2).

Airway Colonization by MRSA and MSSA Reduces the Normal Respiratory Flora

We observed that microorganisms constituting the NRF, such as α-hemolytic Streptococcus spp., apathogenic Neisseria spp., Corynebacterium spp., Bacteroides spp., Fusobacterium spp., Spirochaetes, and Candida spp., were often absent in ETA samples that contained heavy S. aureus burden. Analysis of NRF and S. aureus in all ETA samples of the 231 study patients revealed an inverse correlation. Heavy colonization (SQ of 3+ or 4+) either by MRSA (P = .0014) or MSSA (P < .0001) was associated with an approximately 50% reduction in NRF positivity of ETA samples (Figure 3).

The presence of normal respiratory flora (NRF) in endotracheal aspirate (ETA) samples with different levels of Staphylococcus aureus burden. Percentages of all S. aureus– and NRF-positive ETA samples, grouped according to the semiquantitative bacterial burden of MRSA (A) and MSSA (B) are indicated. Total numbers of positive samples per category are shown on top of each bar with P values calculated using the Fischer exact 2-tailed probability test for indicated group comparison. Abbreviations: ETA, endotracheal aspirate; MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus; NRF, normal respiratory flora.
Figure 3.

The presence of normal respiratory flora (NRF) in endotracheal aspirate (ETA) samples with different levels of Staphylococcus aureus burden. Percentages of all S. aureus– and NRF-positive ETA samples, grouped according to the semiquantitative bacterial burden of MRSA (A) and MSSA (B) are indicated. Total numbers of positive samples per category are shown on top of each bar with P values calculated using the Fischer exact 2-tailed probability test for indicated group comparison. Abbreviations: ETA, endotracheal aspirate; MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus; NRF, normal respiratory flora.

Since the observed inverse correlation between S. aureus burden and NRF positivity may be related to treatment with S. aureus–active antibiotics, we analyzed the effect of relevant antibiotics on the recovery of NRF from ETAs. Importantly, antibiotic treatment per se did not have a significant negative effect on NRF (data not shown).

DISCUSSION

In this study we show that development of heavy colonization of the airways by S. aureus is an early event during mechanical ventilation. This was assessed by SQ microbiological analysis of endotracheal aspirates, which is a noninvasive respiratory culture sampling method that is recommended for detecting significant airway colonization to support VAP diagnosis by the 2016 Infectious Diseases Society of America and the American Thoracic Society guidelines [2]. An important finding of this study is the low efficacy of antibiotic treatment to reduce S. aureus colonization of the lower airways in ventilated patients and to prevent progression from colonization to VAT and VAP. This was particularly true for vancomycin, which was similarly ineffective at reducing or clearing MRSA or MSSA colonization. Treatment with oxacillin, which is the appropriate antibiotic for MSSA infections, was more effective at reducing heavy MSSA colonization; however, in most cases it was administered in combination with other antibiotics and therefore its sole efficacy could not be assessed. Nevertheless, one third of the patients still did not respond with a reduced MSSA burden to oxacillin, and in several patients, VAT and VAP developed despite oxacillin treatment.

Our observation is in line with previous findings that demonstrated the superiority of oxacillin over vancomycin against MSSA both in vitro and clinically [10–12]. Vancomycin displays lower tissue penetration and serum and alveolar lining fluid concentration levels, as well as diminished bactericidal activity against MRSA with higher MICs (>1 mg/mL) than other S. aureus–active antibiotics such as linezolid [13–16]. In this study, samples were collected in 2010, and only 3 study patients were treated with linezolid; therefore, the effectiveness of vancomycin compared to linezolid could not be determined. However, the 3 patients treated with linezolid (for 5 to 11 days) did not respond with a reduced MRSA burden to linezolid.

Decreased susceptibility of S. aureus isolates to antibiotics was not observed based on MIC values even after 10 days of treatment; therefore, it does not explain the lack of efficacy of antibiotics on S. aureus colonization. A more likely explanation is that antibiotics do not reach therapeutic concentrations in the alveolar lining fluid. Importantly, MIC values determined in vitro on agar plates or rich culture media are crude surrogates of antibiotic susceptibility and have limitations for extrapolation to in vivo. Moreover, in mechanically ventilated patients, several factors can affect bacterial clearance, most importantly the presence of the endotracheal tube, its colonization by microorganisms, and inflammation, all of which promote biofilm formation [17, 18]. Biofilm formation that is a well-recognized virulence mechanism seems to be central to the development of persistent colonization and infection in the airways. Soon after intubation, the endotracheal tube becomes colonized by microorganisms present in the oropharynx that form a biofilm on its surface [19–21]. Bacterial biofilms are surface-attached communities of cells encased within a self-produced extracellular polysaccharide matrix that shelters bacteria from host defense mechanisms. The most likely mechanisms of the observed resistance to antibiotic treatment are the reduced drug penetration into biofilms and decreased bacterial multiplication, which is especially relevant for the efficacy of antibiotics that target the cell wall. Gram-negative bacterial species such as P. mirabilis, E. coli, P. aeruginosa, Klebsiella spp., and A. baumannii were also isolated from the 231 ventilated patients in this study. In the vast majority of these patients (25 of 27), heavy colonization with gram-negative bacteria was also not reduced by appropriate antibiotic treatment (data not shown), confirming that low efficacy of antibiotics on mucosal surfaces is a general phenomenon and not limited to S. aureus.

In line with this conclusion, we also did not observe any obvious effect of antibiotic treatment on the overall recovery of NRF from ETA samples. However, the presence of NRF species was inversely correlated with the levels of MSSA and MRSA burden. As the exact composition of the NRF was not recorded, the detailed effects on individual NRF species, that is, a change of the ratio of recovered gram-positive and gram-negative species, could not be evaluated. These data suggest a competition between commensals and S. aureus during colonization of the lower airways. Whether the lack or reduced presence of NRF in the lower airways predisposes for S. aureus colonization or S. aureus overgrows and outcompetes commensals cannot be concluded based on this study but certainly warrants further investigation. This is especially true in light of recent publications that indicate that microbe–microbe interactions between S. aureus and human commensal bacteria affect S. aureus behavior. Altered gene expression, notably diminished S. aureus exotoxin expression, has been observed in the presence of commensal Corynebacterium spp. [22]. Staphylococcus lugdunensis, another commensal bacterium, was reported to interfere with S. aureus colonization through the production of the antibiotic-like compound lugdunin [23]. Data suggest that S. aureus also interacts with opportunistic pathogens such as P. aeruginosa and Klebsiella spp. [24–26]. One possible mechanisms is via the action of the best-characterized S. aureus virulence factor, alpha-hemolysin, which is shown to enhance biofilm formation [27]. It was elegantly demonstrated in experimental animal models that an alpha-hemolysin neutralizing monoclonal antibody reduced the rate of lung infections caused by opportunistic gram-negative pathogens [28].

We are aware of the limitations of our study: the observational nature, the low patient number, and single study center. The potential variability in culturing and quantification techniques among clinical microbiology laboratories and the temporal and geographical changes in S. aureus genotypes certainly call for broader studies. The strength of our study is the well- characterized patient cohort and the daily microbiological analyses of ETA samples.

We found that 38% of the ventilated patients colonized by S. aureus (without co-colonization by other pathogens) developed pneumonia, despite treatment with appropriate antibiotics for at least 2 consecutive days. This raises the question: what alternative or adjunct approaches to antibiotics could be considered to address the high risk of progression to pneumonia in ventilated patients heavily colonized with S. aureus? It has been demonstrated by multiple in vitro and in vivo studies that exposure to certain antibiotics can upregulate the cytotoxin production of S. aureus [29–33]. This is expected to be particularly relevant when antibiotics do not control bacterial growth efficiently, which is the scenario suggested by our study. Secreted cytotoxins of S. aureus include alpha-hemolysin that damages lung epithelial cells and promotes biofilm formation and systemic spread [34], as well as leukocidins that lyse phagocytic cells and thus interfere with the elimination of S. aureus by the immune system [35]. High alpha-hemolysin–expressing S. aureus isolates were associated with progression to pneumonia in our previous study with patients also included in this study [9]. Leukocidins have been shown to contribute to pneumonia pathogenesis in rabbit models [36, 37]. Panton-Valentine leukocidin expression by community-associated MRSA (CA-MRSA) strains is considered to be associated with their propensity to cause necrotizing pneumonia [38].

Several studies reported synergistic effects of cytotoxin neutralizing antibodies in combination with MRSA and MSSA relevant antibiotics [39, 40]. Since cytotoxin neutralizing antibodies do not elicit a direct bactericidal effect, the mode of action of protection in pneumonia is the prevention of lung and epithelial barrier damage, as well as rescuing the leukocytes at the site of infection and thus enhancing the clearance of S. aureus. Several clinical studies are ongoing with S. aureus toxin neutralizing antibodies that have the potential to address the question whether this alternative approach offers benefits for ventilated patients by preventing S. aureus VAP and improving disease outcome and mortality rates.

Notes

Author contributions. E. N. and L. S. had full access to all data in the manuscript and take full responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: E. N., L. S., and J. H. Acquisition, analysis, or interpretation of data: L. S., E. N., J. H., G. N., and D. C. Drafting of the manuscript: E. N., L. S., J. H., G. N., and D. C. Critical revision of the manuscript for important intellectual content: E. N., L. S., J. H., G. N., and D. C. Study supervision: E. N., L. S., and J. H. Clinical study supervision: D. C. and J. H.

Acknowledgments We thank Christine Power, Zoltán Magyarics, René Russo, David Mantus, Chris Stevens, and Ekaterina Kabak for their critical review of the manuscript and Manuel Zerbs, Jacqueline Steinhäuser, Mohamed Ben Omran, Yuxiu Lei, and Ahsan Waqas for technical support and clinical data collection.

Financial support. This work was supported by the General Program grant of the Austrian Research Promotion Agency (grant numbers FFG 841918, FFG 845382), awarded to Arsanis Biosciences.

Potential conflicts of interest. L.S., G.N., and E.N. are employees and shareholders in Arsanis, Inc (Delaware). All other authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

References

1.

Bassi
GL
Ferrer
M
Marti
JD
Comaru
T
Torres
A
.
Ventilator-associated pneumonia
.
Semin Respir Crit Care Med
2014
;
35
:
469
81
.

2.

Kalil
AC
Metersky
ML
Klompas
M
et al. .
Management of adults with hospital-acquired and ventilator-associated pneumonia: 2016 Clinical Practice Guidelines by the Infectious Diseases Society of America and the American Thoracic Society
.
Clin Infect Dis
2016
;
63
:
e61
111
.

3.

Chroneou
A
Zias
N
Craven
DE
.
Managing ventilator-associated pneumonia: antibiotic therapy and targeted prevention
. In:
Lenfant
C
and
Sethi
S
, editors.
Respiratory Infections—Lung Biology in Health and Disease; Informa Healthcare
.
Boca Raton, FL
:
CRC Press—Taylor & Francis Group
,
2010
:
131
.

4.

Craven
DE
Lei
Y
Ruthazer
R
Sarwar
A
Hudcova
J
.
Incidence and outcomes of ventilator-associated tracheobronchitis and pneumonia
.
Am J Med
2013
;
126
:
542
9
.

5.

Kollef
MH
Chastre
J
Fagon
JY
et al. .
Global prospective epidemiologic and surveillance study of ventilator-associated pneumonia due to Pseudomonas aeruginosa
.
Crit Care Med
2014
;
42
:
2178
87
.

6.

Grgurich
PE
Hudcova
J
Lei
Y
Sarwar
A
Craven
DE
.
Diagnosis of ventilator-associated pneumonia: controversies and working toward a gold standard
.
Curr Opin Infect Dis
2013
;
26
:
140
50
.

7.

Craven
DE
Hudcova
J
Rashid
J
.
Antibiotic therapy for ventilator-associated tracheobronchitis: a standard of care to reduce pneumonia, morbidity and costs?
Curr Opin Pulm Med
2015
;
21
:
250
9
.

8.

Lei
Y
Hudcova
J
Rashid
J
et al. .
Natural history, outcomes and antibiotic treatment of ventilator-associated tracheobronchitis in critically ill patients
.
Mod Res Inflamm
2016
;
5
:
1
11
.

9.

Stulik
L
Malafa
S
Hudcova
J
et al. .
α-Hemolysin activity of methicillin-susceptible Staphylococcus aureus predicts ventilator-associated pneumonia
.
Am J Respir Crit Care Med
2014
;
190
:
1139
48
.

10.

Kim
SH
Kim
KH
Kim
HB
et al. .
Outcome of vancomycin treatment in patients with methicillin-susceptible Staphylococcus aureus bacteremia
.
Antimicrob Agents Chemother
2008
;
52
:
192
7
.

11.

Joukhadar
C
Pillai
S
Wennersten
C
Moellering
RC
Jr
Eliopoulos
GM
.
Lack of bactericidal antagonism or synergism in vitro between oxacillin and vancomycin against methicillin-susceptible strains of Staphylococcus aureus
.
Antimicrob Agents Chemother
2010
;
54
:
773
7
.

12.

McDanel
JS
Perencevich
EN
Diekema
DJ
et al. .
Comparative effectiveness of beta-lactams versus vancomycin for treatment of methicillin-susceptible Staphylococcus aureus bloodstream infections among 122 hospitals
.
Clin Infect Dis
2015
;
61
:
361
7
.

13.

Rubinstein
E
Kollef
MH
Nathwani
D
.
Pneumonia caused by methicillin-resistant Staphylococcus aureus
.
Clin Infect Dis
2008
;
46
:
S378
85
.

14.

Pletz
MW
Burkhardt
O
Welte
T
.
Nosocomial methicillin-resistant Staphylococcus aureus (MRSA) pneumonia: linezolid or vancomycin?—Comparison of pharmacology and clinical efficacy
.
Eur J Med Res
2010
;
15
:
507
13
.

15.

Torres
A
.
Antibiotic treatment against methicillin-resistant Staphylococcus aureus hospital- and ventilator-acquired pneumonia: a step forward but the battle continues
.
Clin Infect Dis
2012
;
54
:
630
2
.

16.

Wunderink
RG
Niederman
MS
Kollef
MH
et al. .
Linezolid in methicillin-resistant Staphylococcus aureus nosocomial pneumonia: a randomized, controlled study
.
Clin Infect Dis
2012
;
54
:
621
9
.

17.

Prince
AS
.
Biofilms, antimicrobial resistance, and airway infection
.
N Engl J Med
2002
;
347
:
1110
1
.

18.

Jackson
K
Keyser
R
Wozniak
DJ
.
The role of biofilms in airway disease
.
Semin Respir Crit Care Med
2003
;
24
:
663
70
.

19.

Adair
CG
Gorman
SP
Feron
BM
et al. .
Implications of endotracheal tube biofilm for ventilator-associated pneumonia
.
Intensive Care Med
1999
;
25
:
1072
6
.

20.

Bahrani-Mougeot
FK
Paster
BJ
Coleman
S
et al. .
Molecular analysis of oral and respiratory bacterial species associated with ventilator-associated pneumonia
.
J Clin Microbiol
2007
;
45
:
1588
93
.

21.

Perkins
SD
Woeltje
KF
Angenent
LT
.
Endotracheal tube biofilm inoculation of oral flora and subsequent colonization of opportunistic pathogens
.
Int J Med Microbiol
2010
;
300
:
503
11
.

22.

Ramsey
MM
Freire
MO
Gabrilska
RA
Rumbaugh
KP
Lemon
KP
.
Staphylococcus aureus shifts toward commensalism in response to corynebacterium species
.
Front Microbiol
2016
;
7
:
1230
.

23.

Zipperer
A
Konnerth
MC
Laux
C
et al. .
Human commensals producing a novel antibiotic impair pathogen colonization
.
Nature
2016
;
535
:
511
6
.

24.

Sagel
SD
Gibson
RL
Emerson
J
et al. ;
Inhaled Tobramycin in Young Children Study Group; Cystic Fibrosis Foundation Therapeutics Development Network
.
Impact of Pseudomonas and Staphylococcus infection on inflammation and clinical status in young children with cystic fibrosis
.
J Pediatr
2009
;
154
:
183
8
.

25.

Papadimitriou-Olivgeris
M
Spiliopoulou
I
Christofidou
M
et al. .
Co-colonization by multidrug-resistant bacteria in two Greek intensive care units
.
Eur J Clin Microbiol Infect Dis
2015
;
34
:
1947
55
.

26.

Beaume
M
Köhler
T
Fontana
T
Tognon
M
Renzoni
A
van Delden
C
.
Metabolic pathways of Pseudomonas aeruginosa involved in competition with respiratory bacterial pathogens
.
Front Microbiol
2015
;
6
:
321
.

27.

Caiazza
NC
O’Toole
GA
.
Alpha-toxin is required for biofilm formation by Staphylococcus aureus
.
J Bacteriol
2003
;
185
:
3214
7
.

28.

Cohen
TS
Hilliard
JJ
Jones-Nelson
O
et al. .
Staphylococcus aureus α toxin potentiates opportunistic bacterial lung infections
.
Sci Transl Med
2016
;
8
:
329ra31
.

29.

Rudkin
JK
Laabei
M
Edwards
AM
et al. .
Oxacillin alters the toxin expression profile of community-associated methicillin-resistant Staphylococcus aureus
.
Antimicrob Agents Chemother
2014
;
58
:
1100
7
.

30.

Nielsen
LN
Roggenbuck
M
Haaber
J
Ifrah
D
Ingmer
H
.
Diverse modulation of spa transcription by cell wall active antibiotics in Staphylococcus aureus
.
BMC Res Notes
2012
;
5
:
457
.

31.

Stevens
DL
Ma
Y
Salmi
DB
McIndoo
E
Wallace
RJ
Bryant
AE
.
Impact of antibiotics on expression of virulence-associated exotoxin genes in methicillin-sensitive and methicillin-resistant Staphylococcus aureus
.
J Infect Dis
2007
;
195
:
202
11
.

32.

Dumitrescu
O
Boisset
S
Badiou
C
et al. .
Effect of antibiotics on Staphylococcus aureus producing Panton-Valentine leukocidin
.
Antimicrob Agents Chemother
2007
;
51
:
1515
9
.

33.

Diep
BA
Afasizheva
A
Le
HN
et al. .
Effects of linezolid on suppressing in vivo production of staphylococcal toxins and improving survival outcomes in a rabbit model of methicillin-resistant Staphylococcus aureus necrotizing pneumonia
.
J Infect Dis
2013
;
208
:
75
82
.

34.

Berube
BJ
Bubeck Wardenburg
J
.
Staphylococcus aureus α-toxin: nearly a century of intrigue
.
Toxins (Basel)
2013
;
5
:
1140
66
.

35.

Alonzo
F
3rd
Torres
VJ
.
The bicomponent pore-forming leucocidins of Staphylococcus aureus
.
Microbiol Mol Biol Rev
2014
;
78
:
199
230
.

36.

Diep
BA
Chan
L
Tattevin
P
et al. .
Polymorphonuclear leukocytes mediate Staphylococcus aureus Panton-Valentine leukocidin-induced lung inflammation and injury
.
Proc Natl Acad Scie U S A
2010
;
107
:
5587
92
.

37.

Diep
BA
Le
VT
Visram
ZC
et al. .
Improved protection in a rabbit model of community-associated methicillin-resistant Staphylococcus aureus necrotizing pneumonia upon neutralization of leukocidins in addition to alpha-hemolysin
.
Antimicrob Agents Chemother
2016
;
60
:
6333
40
.

38.

Gillet
Y
Issartel
B
Vanhems
P
et al. .
Association between Staphylococcus aureus strains carrying gene for Panton-Valentine leukocidin and highly lethal necrotising pneumonia in young immunocompetent patients
.
Lancet
2002
;
359
:
753
9
.

39.

Rouha
H
Badarau
A
Visram
ZC
et al. .
Five birds, one stone: neutralization of α-hemolysin and 4 bi-component leukocidins of Staphylococcus aureus with a single human monoclonal antibody
.
MAbs
2015
;
7
:
243
54
.

40.

Hua
L
Hilliard
JJ
Shi
Y
et al. .
Assessment of an anti-alpha-toxin monoclonal antibody for prevention and treatment of Staphylococcus aureus-induced pneumonia
.
Antimicrob Agents Chemother
2014
;
58
:
1108
17
.

Author notes

a

L. S. and J. H. contributed equally to this manuscript.

Correspondence: E. Nagy, Arsanis, Inc, Arsanis Biosciences Helmut-Qualtinger-Gasse 2, 1030 Vienna, Austria ([email protected]).

Supplementary data