Abstract
Although there is literature evaluating infectious complications associated with combat-related injuries from Iraq and Afghanistan, none have evaluated pneumonia specifically. Therefore, we assessed a series of pneumonia cases among wounded military personnel admitted to Landstuhl Regional Medical Center, and then evacuated further to participating U.S. military hospitals. Of the 423 casualties evacuated to the U.S., 36 developed pneumonia (8.5%) and 30 of these (83.3%) were ventilator-associated. Restricting to 162 subjects admitted to intensive care, 30 patients had pneumonia (18.5%). The median Injury Severity Score was higher among subjects with pneumonia (23.0, versus 6.0; p<0.01). There were 61 first-isolate respiratory specimens recovered from 31 pneumonia subjects, of which 56.1% were gram-negative, 18.2% were gram-positive, and 18.2% were fungal. Staphylococcus aureus and Pseudomonas aeruginosa were most commonly recovered (10.6%, and 9.1%, respectively). Thirteen bacterial isolates (26.5%) were multidrug-resistant. Outcome data were available for 32 patients, of which 26 resolved their infection without progression, 5 resolved after initial progression, and 1 died. Overall, combat-injured casualties suffer a relatively high rate of pneumonia, particularly those requiring mechanical ventilation. Although gram-negative pathogens were common, S. aureus was most frequently isolated. Continued focus on pneumonia prevention strategies is necessary for improving combat care.
Keywords: ventilator-associated pneumonia, nosocomial infections, military medicine, multidrug resistance, gram-negative bacteria, trauma
INTRODUCTION
Infections are among the most common complications of combat trauma, with 27% of casualties experiencing at least one infectious complication by the time of discharge. If the population is restricted to intensive care unit (ICU) patients, the number increases to 50%.1 Infecting pathogens recovered from injured casualties evacuated from Iraq and Afghanistan have been notable both for their wide spectrum (e.g., from gram-positive to gram-negative bacteria along with invasive molds), as well as for their drug resistance profiles.2–8 During the recent conflicts, infections produced by multidrug-resistant organisms (MDROs) have been the rule, rather than the exception, with the epidemiology of the principal MDROs changing over time and between theaters of conflict. Regarding military personnel injured in Iraq, colonization and infection with multidrug-resistant Acinetobacter baumannii-calcoaceticus complex (ABC) was a major concern; while in recent years, as the proportion of casualties from Afghanistan increased, extended-spectrum beta-lactamase (ESBL)-producing gram-negative bacteria became predominant.9,10
Pneumonia complicating civilian traumatic injuries has been described in a variety of settings, and this particular complication has substantial impact on morbidity, hospital length of stay, additional costs, and in some studies, mortality.11–14 The National Healthcare Safety Network (NHSN) reports a pooled mean rate of ventilator-associated pneumonia (VAP) in trauma ICUs of 3.6 cases per 1000 ventilator days, which is higher than in any other specific surgical ICU except burn units.15 Trauma patients are at particular risk for pneumonia, which may relate directly to the effects of chest or abdominal injuries, blast lung and pulmonary contusions, and paralysis of respiratory or oropharyngeal muscles following central nervous system or neck injuries. Moreover, trauma patients may also be more likely than other surgical patients to have numerous scheduled and unscheduled operative returns, with or without repeated intubations; and to require massive transfusions of blood products, total parenteral nutrition, and antimicrobial prophylaxis, which may potentiate an immunosuppressed state increasing the likelihood of infectious complications, particularly pneumonia.16 Combat trauma patients evacuated from the theater of operation have the additional risk factor of being transported several thousand miles to military treatment facilities (MTFs) while in a supine position.
Epidemiologic data from combat casualties suggest that while pneumonia is less common than skin/wound infections, it does impact the population. Specifically, 3.7% of wounded personnel were affected in one evaluation using NHSN definitions and 8.5% in a retrospective registry study.1,17 The duration from injury to diagnosis of pneumonia (median 3 days) is also short compared to bloodstream infections (6 days) and skin/soft tissue infections (12 days).1 Due to this short latency, pneumonia is more likely to present and require treatment prior to the patient’s evacuation back to a U.S. MTF, and potentially prior to evacuation from the theater of operations. This poses specific diagnostic and management challenges, since a forward operating base may lack access to bronchoscopy, timely and accurate microbiology results, or methods for monitoring drug levels such as aminoglycosides or vancomycin. Therefore, there is a need to characterize the demographics, microbiology, and outcomes of pneumonia cases in this combat casualty population. Additionally, infection prevention in theater and during the chain of evacuation presents special challenges, and evidence-based prevention interventions must be designed to target high-risk problems.18 Characterization of the risk of pneumonia, particularly in ventilated patients, and description of the patients at highest risk, may help target future prevention efforts for VAP in war casualties, both in and out of the combat zone. Our objective was to describe demographics, microbiology and outcomes of pneumonia in a cohort of combat trauma patients evacuated from Iraq and Afghanistan and enrolled in the Trauma Infectious Disease Outcomes Study (TIDOS).
MATERIALS AND METHODS
Study Population
The TIDOS project, which has been previously described in detail, is a multicenter, observational cohort of U.S. military members with deployment-related injuries.1 Participants eligible for inclusion in TIDOS were evacuated out of theater through Landstuhl Regional Medical Center in Germany to one of three U.S. sites: Walter Reed Army Medical Center, National Naval Medical Center, or Brooke Army Medical Center. The study period was defined as June 2009 to January 2010, during which time a pneumonia case evaluation form was temporarily used to capture specific pulmonary infection data on patients. This study was approved by the Infectious Disease Institutional Review Board of the Uniformed Services University of the Health Sciences in Bethesda, MD.
Case Definition
We defined pneumonia by new or progressive infiltrates seen on radiologic examination and evidence of infection (documented body temperature >38°C or <36°C, or peripheral white blood cell count ≥12,000 or <4,000 cells/mm3), plus one of the following: new onset purulent sputum, change in character of sputum, increase in respiratory secretions, new onset worsening cough, dyspnea or tachypnea, rales/bronchial breath sounds, worsening gas exchange, same organism isolated from both respiratory and blood cultures, positive culture from a minimally contaminated lower respiratory tract specimen, ≥5% bronchoalveolar lavage-obtained cells containing intracellular bacteria on direct microscopy, or laboratory confirmation of infection with an uncommon pathogen. Patients not meeting this a priori definition, as outlined by the NHSN, could receive a clinical diagnosis by the treating physician if they met the diagnostic criteria with concurrent directed antimicrobial therapy for more than five days.
Microbiology
Microbiological evaluations were conducted at the clinicians’ discretion. Antibiotic susceptibility results were performed by each MTF’s clinical microbiology laboratory, and interpreted in accordance with Clinical and Laboratory Standards Institute. We categorized bacteria as MDRO if it was resistant to ≥3 classes of antibiotics (aminoglycosides, beta-lactams, carbapenems, or fluoroquinolones), produced either ESBL or Klebsiella pneumoniae carbapenemase, or if they were methicillin-resistant Staphylococcus aureus (MRSA) or vancomycin-resistant enterococci. All participating sites used either BD Phoenix (BD Biosciences, Sparks, MD) or Vitek 2 (bioMerieux Inc., Hazelwood, MO) for automatic identification and susceptibility testing of organisms, along with disk diffusion and E-tests for further evaluation of resistance where applicable.
Statistical Analysis
The statistics presented are descriptive and are shown as frequencies (percentages) for categorical variables and medians (interquartile ranges [IQR]) for continuous variables. Comparisons of categorical variables were made with Fisher’s exact test or chi-squared, as applicable; nonparametric continuous variables were compared with Mann-Whitney U test. All p-values are two-tailed and statistical significance at p<0.05. We performed our analysis with existing software (SPSS, version 19.0, IBM, Armonk, New York).
RESULTS
From June 2009 to January 2010, 842 U.S. casualties were injured and medically evacuated from theater to Landstuhl. Of these, 423 were transitioned to a TIDOS-participating U.S. MTF and 162 of these patients were admitted to an U.S. ICU. Army personnel accounted for 69.4% of the cohort; 27.8% were Marines and 2.8% other. In addition, enlisted personnel comprised 80.6% of the population; 2.8% were officers, 5.5% warrant officers, 2.8% other, and rank data was missing for 8.3%. Overall, 36 patients met criteria for pneumonia for an overall frequency of 8.5% among those evacuated to the U.S. and 4.3% for those admitted to Landstuhl. Thirty of these patients (83.3%) were on mechanical ventilation within 48 hours of diagnosis, and were, thus, defined as VAP. Among the ICU patients evacuated to a U.S. MTF, the proportion diagnosed with pneumonia was 18.5%. Characteristics of the patients admitted with pneumonia (97.2% male; median age of 26.0 years; Table I) were reflective of the entire TIDOS cohort patient population (96.5% male; median age of 24.0 years [IQR: 22.0, 30.0]). In contrast, the median injury severity score (ISS) of the patients diagnosed with pneumonia was 23.0, which was significantly higher than those of the subjects who did not develop pneumonia (median ISS 6.0 [IQR: 4.0, 13.0]; p<0.01).
Table I.
Demographic Characteristics of United States Combat Casualties with Healthcare-Associated Pneumonia
Characteristics | Pneumonia Subjects (N=36) | VAP Subjects (N=30) |
---|---|---|
Male, No. (%) | 35 (97.2) | 29 (96.7) |
Age, median (IQR) | 26.0 (22.0, 35.0) | 26.0 (22.0, 35.0) |
Injury Severity Score, median (IQR) | 23.0 (17.0, 29.0) | 22.0 (17.0, 29.0) |
Maximum Abbreviated Injury Scale, median (IQR) | 5 (4, 5) | 5 (4, 5) |
AIS location, No. (%) | ||
Head | 14 (38.9) | 12 (40.0) |
External | 2 (5.6) | 2 (6.7) |
Neck | 1 (2.8) | 1 (3.3) |
Thorax | 2 (5.6) | 2 (6.7) |
Abdomen | 6 (16.7) | 5 (16.7) |
Spine | 3 (8.3) | 3 (10.0) |
Upper extremity | 0 | 0 |
Lower extremity | 8 (22.2) | 5 (16.7) |
Blood products transfused within first 24 hours, median units (IQR)a | ||
Packed red blood cells | 6 (2, 14) | 6 (2, 11) |
Fresh frozen plasma | 6 (2, 14) | 6 (2, 9) |
Theater of Operation, No. (%) | ||
OEF | 29 (80.6) | 23 (76.7) |
OIF | 4 (11.1) | 4 (13.3) |
Missing | 3 (8.3) | 3 (10.0) |
Mechanism of Injury, No. (%)b | ||
Blast | 24 (66.7) | 20 (62.5) |
Gunshot wound | 5 (13.9) | 4 (12.5) |
Motor vehicle collision | 6 (16.7) | 5 (15.6) |
Otherc | 3 (8.3) | 3 (9.4) |
AIS – Abbreviated Injury Scale; IQR – interquartile range; OEF – Operation Enduring Freedom; OIF – Operation Iraqi Freedom; VAP – ventilator-associated pneumonia
Blood product transfusion data missing for five patients in the overall pneumonia group and four patients in the VAP group
Subjects may have more than one mechanism of injury
No reported cases in burned patients
Among the pneumonia patients, there was a predominance of head trauma (38.9%), followed by injuries to the lower extremities (22.2%; Table I). In general, trauma was largely sustained as a result of a blast mechanism (66.7%). Transfusion data from the first 24 hours after injury revealed a median of 6 units of packed red blood cells; all patients for whom transfusion data were available (31 patients) received at least one unit of blood. The median time between injury and diagnosis of pneumonia was 4.0 days (IQR: 3.0, 7.5).
The criteria used to determine the diagnosis of pneumonia, and their respective frequencies of use, are represented in Table II. As defined by the NHSN, 55.6% met the a priori case definition for pneumonia, while the remaining 44.4% met the clinical definition of being diagnosed by the treating physician with concurrent directed antimicrobial therapy (≥5 days). Despite the overall injury severity and complicating pneumonia, there was only one death, for an overall rate of 3.1% (3.3% among ventilated ICU patients with pneumonia), and this was not considered to be related to the pneumonia diagnosis. Among the VAP subjects, there were no deaths and 76.7% resolved their infection without progression (i.e. without significant clinical change related to the infection such as worsening vital signs).
Table II.
Diagnostic Criteria and Outcomes among United States Combat Casualties with Healthcare-Associated Pneumonia, No. (%)
Pneumonia Subjects (N=36) | VAP Subjects (N=30) | |
---|---|---|
Diagnostic Criteriaa | ||
New or progressive infiltrate seen on radiology film | 23 (63.9) | 19 (63.3) |
Evidence of infectionb | 35 (97.2) | 29 (96.7) |
New onset of purulent sputum | 8 (22.2) | 8 (26.7) |
Change in character of sputum | 12 (33.3) | 11 (36.7) |
Increased respiratory secretions or suctioning requirement | 16 (44.4) | 15 (50.0) |
New onset or worsening cough, dyspnea, or tachypnea | 8 (22.2) | 5 (16.7) |
Rales or bronchial breath sounds | 7 (19.4) | 6 (20.0) |
Worsening gas exchange | 20 (55.6) | 17 (56.7) |
Same organisms growing from respiratory secretions and blood cultures | 3 (8.3) | 3 (10.0) |
Positive culture from minimally contaminated lower respiratory tract | 18 (50.0) | 18 (60.0) |
>5% BAL-obtained cells contain intracellular bacteria | 2 (5.6) | 2 (6.7) |
Laboratory confirmation of infection with uncommon pathogen | 4 (11.1) | 4 (13.3) |
Basis for meeting diagnostic criteria | ||
Met a priori definitionc | 20 (55.6) | 17 (56.7) |
Physician clinical diagnosis (in the absence of meeting a priori definition) with directed antimicrobial therapy ≥5 days) | 16 (44.4) | 13 (43.4) |
Mechanical ventilation within 48 hours prior to diagnosis | 30 (83.3) | 30 (100) |
Outcomed | ||
Infection resolved without progression | 26 (81.3) | 23 (76.7) |
Infection resolved with progression | 5 (15.6) | 3 (10.0) |
Treatment ongoing at discharge | 1 (3.1) | 0 |
Death | 1 (3.1) | 0 |
BAL – bronchoalveolar lavage; VAP – ventilator-associated pneumonia
Subjects may have met more than one of the diagnostic criteria
Temperature >38°C or <36°C, or white blood cell count ≥12,000 or <4,000 cells/mm
As defined by National Healthcare Safety Network
Outcome data are missing for four subjects in the overall pneumonia group and the VAP patient group. One pneumonia subject from the overall group (N=36) had two outcomes (infection progression and death). Progression is defined by prior to resolution of the infection, there is a significant clinical change that relates to the infection (e.g., worsening vital signs, need for intubation/ventilation, and change in antimicrobial therapy due to poor response).
Overall, gram-negative rods (GNR) were the most commonly isolated organisms from respiratory specimens and associated with a concurrent clinical diagnosis of pneumonia, accounting for 56.1% of all first-isolate positive cultures (Table III). Of these, Pseudomonas aeruginosa was the most frequent, followed by Enterobacter aerogenes, ABC, Haemophilus influenzae, and Serratia marcescens. Escherichia coli was only isolated from the respiratory specimens of three subjects. In addition, 21.6% of the GNR isolated met the definition of MDRO. Regarding gram-positive bacteria, which represented 18.2% of the organisms, S. aureus was predominant and 57.1% of the isolates were methicillin-resistant. Fungi accounted for remaining 18.2% of organisms isolated with Aspergillus and Candida spp. as the most frequent.
Table III.
Microbiology of First-Isolates Collected from United States Combat Casualties Diagnosed with Healthcare-Associated Pneumonia, No. (%)a
First-isolate frequency (N=61) | Multidrug-resistant | |
---|---|---|
Gram-negative bacteria | 37 (56.1) | 8 (21.6) |
Acinetobacter calcoaceticus baumannii complex | 4 (6.1) | 3 (75.0) |
Acinetobacter radioresistans | 1 (1.5) | 0 |
Elizabethkingia spp. | 1 (1.5) | 0 |
Enterobacter aerogenes | 5 (7.6) | 0 |
Enterobacter cloacae | 2 (3.0) | 0 |
Escherichia coli | 3 (4.5) | 2 (66.7) |
Haemophilus influenzae | 4 (6.1) | 0 |
Klebsiella oxytoca | 1 (1.5) | 0 |
Klebsiella pneumoniae | 2 (3.0) | 2 (100.0) |
Proteus mirabilis | 1 (1.5) | 0 |
Pseudomonas aeruginosa | 6 (9.1) | 1 (16.7) |
Serratia marcescens | 4 (6.1) | 0 |
Stenotrophomonas maltophilia | 3 (4.5) | 0 |
Gram-positive bacteria | 12 (18.2) | 5 (41.6) |
Enterococcus faecium | 1 (1.5) | 1 (100.0) |
Staphylococcus aureus | 7 (10.6) | 4 (57.1) |
Streptococcus spp. | 4 (6.1) | 0 |
Fungi | 12 (18.2) | 0 |
Aspergillus spp. | 3 (4.5) | 0 |
Candida albicans | 3 (4.5) | 0 |
Candida spp. (non-albicans) | 3 (4.5) | 0 |
Rhizomucor spp. | 1 (1.5) | 0 |
Hansenula anomala | 1 (1.5) | 0 |
Yeast, unidentified | 1 (1.5) | 0 |
First-isolates were collected from 31 subjects
Antimicrobial use data (not specific to therapy for pneumonia) was available for 31 subjects (Table IV). The most commonly received systemic antimicrobials were meropenem, vancomycin, and amikacin, which were administered to 80.6, 67.7, and 45.2% of subjects, respectively. Subjects received a median of three antimicrobials (IQR: 2, 4; range: 1–10). Excluding two patients who received prolonged antimicrobials (individual total antimicrobial dose-days of 1173 and 299, respectively), the mean total antimicrobial dose-days per individual was 24.8. Nebulized colistin and tobramycin were each utilized in two subjects, while fluconazole was administered to one.
Table IV.
Antimicrobial Therapy in United States Military Personnel Diagnosed with Healthcare-Associated Pneumonia, No. (%)
Antimicrobial | Pneumonia Subjectsa (N=31) |
---|---|
Amikacin | 14 (45.2) |
Amoxicillin-clavulanate | 1 (3.2) |
Cefazolin | 1 (3.2) |
Cefepime | 3 (9.7) |
Ceftriaxone | 2 (6.5) |
Ciprofloxacin | 6 (19.4) |
Colistin (systemic) | 4 (12.9) |
Colistin (nebulized) | 2 (6.5) |
Daptomycin | 1 (3.2) |
Ertapenem | 1 (3.2) |
Fluconazole | 1 (3.2) |
Gentamicin | 1 (3.2) |
Imipenem | 2 (6.5) |
Levofloxacin | 8 (25.8) |
Linezolid | 3 (9.7) |
Meropenem | 25 (80.6) |
Minocycline | 1 (3.2) |
Nafcillin | 1 (3.2) |
Piperacillin-tazobactam | 7 (22.6) |
Tigecycline | 2 (6.5) |
Trimethoprim-sulfamethoxazole | 1 (3.2) |
Tobramycin (systemic) | 6 (19.4) |
Tobramycin (nebulized) | 2 (6.5) |
Vancomycin | 21 (67.7) |
Subjects often received multiple antimicrobials
DISCUSSION
These data represent a systematic evaluation of clinical pneumonia in combat trauma patients evacuated from Iraq and Afghanistan as a substudy of the larger TIDOS cohort. Overall, our data showed a relatively high rate of pneumonia (8.5%), of which 83.3% of the cases were ventilator-associated. Among non-combat trauma patients, VAP rates in similarly performed prospective studies have ranged from 12 to 40%, comparable to the approximately 18% in this study’s ICU population.19–24 These studies have generally involved an older trauma population with a greater number of medical comorbidities compared to the TIDOS cohort, which has been previously well characterized to have predictably young and otherwise healthy patients.1 The severity of injury, as defined by average ISS in civilian trauma studies of pneumonia, has ranged from 23 to 25 as well,21,22,24 which is concordant with the data described herein. Notably, primary chest and abdominal injuries were relatively uncommon in this cohort, most likely due to the widespread use of body armor.25 Nevertheless, the 8.5% rate of pneumonia is consistent with that described in civilian studies, and likely related to injury severity, large-volume blood product transfusion requirements, and a relative predominance of head injuries.19–24 Although this small case series was not designed to evaluate factors associated with outcomes or attributable morbidity, based on the rate data presented here, VAP in the war wounded population is a problem of no less importance than that of the civilian trauma population. The TIDOS database captures only trauma patients who are evacuated to a participating MTF in the U.S., accounting for 54% of Landstuhl admissions, and arguably represent a more seriously injured subset than those who are evacuated to other facilities.1 However, even with an assumption of pneumonia and VAP rates half of those demonstrated here, with the casualty count from Operations Iraqi Freedom and Enduring Freedom up to 51,567,26 this would represent >2000 cases of pneumonia and >1700 cases of VAP.
Numerous strategies have been proposed for generalized VAP prevention, though not all have been specifically evaluated in high-risk trauma patients. Per the personal experience and dedicated observations made on three separate infection prevention deployments to Iraq and Afghanistan by our authors, VAP bundle implementation is widespread, even in combat support hospitals. Their use is also recommended in Joint Theater Trauma System (JTTS) Clinical Practice Guidelines (CPG);27 however, their efficacy in trauma populations is debated. One recent prospective evaluation demonstrated that while male gender and chest injury severity were associated with VAP development, time-dependent compliance with the Institute for Healthcare Improvement ventilator bundle was not.22 Another practice, chlorhexidine bathing, is also gaining traction as data supporting its role in decreasing infectious complications in ICU patients accumulate. Chlorhexidine bathing has been used in the ICUs at combat support hospitals and Landstuhl for several years, and is now formally recommended in the JTTS CPG.28 This practice has been evaluated in a trauma population, resulting in no overall reduction in VAPs; however, the subset of VAP caused by MRSA showed a statistically significant decrease. Nonetheless, a shift toward recovery of GNR associated with VAP, despite a trend toward a reduction in Acinetobacter spp. incidence, was also reported.29 Other evaluations of chlorhexidine bathing either do not report data for infection or colonization with GNR or show no reduction.30,31 In a population where gram-negative bacterial pathogens predominate, not just for VAP but for infectious complications in general, and where 15–16% of subjects become colonized with gram-negative MDROs, the utility of chlorhexidine bathing as an effective prevention strategy for healthcare-associated infections cannot be taken for granted and merits a dedicated investigation.1,10 Other interventions, such as selective digestive and/or oral decontamination, silver-coated endotracheal tubes, or short-wavelength ultraviolet radiation disinfection of the healthcare environment, could be areas for targeted study in this population if a means of real-time active surveillance for VAP inclusive of all echelons of care is introduced.
The microbiologic incidence of pathogens isolated from respiratory specimens in patients with VAP herein reflects an overall predominance of GNR, which is not surprising based on the general prevalence of such organisms in any study of VAP, or in infectious complications resulting from combat trauma. However, we feel that the distribution of pathogens from our pneumonia patients presents some unexpected findings. During the time frame of our analysis, organisms isolated through active surveillance of combat casualties were largely ESBL-producing E. coli, followed by K. pneumoniae and E. aerogenes.10 In our evaluation, we commonly recovered S. aureus, P. aeruginosa and Enterobacter spp., but potential ESBL-producers, E. coli and K. pneumoniae, were less frequently isolated, found in only 16% of subjects. Empiric meropenem use for suspected infection is currently routine in this population and is driven by the known prevalence of ESBL-producers. Correspondingly, meropenem was the most commonly used antibiotic in our cohort; although, not entirely for pneumonia, as some patients had other infectious complications. The predominance of relatively drug-susceptible GNR may be reflective of the early-onset nature of this infectious complication, amidst the background time-dependent nature of incident colonization with MDROs. Contemporaneous colonization data from redeployed, combat casualties for P. aeruginosa showed that none were MDR, and only 2% demonstrated resistance to antipseudomonal beta-lactams.10 Potentially, empiric carbapenem use may be unnecessary in the combat casualty with early-onset VAP alone, though this bears confirmation in a larger study before a change in clinical practice can be recommended. The utility of vancomycin was also seen in two-thirds of the subjects, while only 11% of the subjects had a respiratory specimen positive for MRSA. Limiting empiric vancomycin use for VAP, except in patients with unusual clinical features, sepsis, or known colonization, might be an additional means of safely exercising antimicrobial stewardship. Fungal organisms were recovered in a minority of patients, of which most were likely not pathogens, thus, antifungal use was rare.
The limitations of our study include its small size, both in terms of number of subjects, and narrow temporal range of six months, related to the temporary use of a specific case report form designed to capture intrathoracic complications during that time period. Microbial ecology, in particular, may change rapidly over time based on a number of factors, and clearly has changed in combat casualties since 2003–2004 when ABC predominated, and pneumonia rates may change quickly as well. Ideally, real-time, active surveillance for common healthcare-associated infections, such as VAP, across the echelons of care could be implemented to ascertain better data and inform prevention interventions. Uncertainty continues regarding the optimal means of diagnosing VAP, particularly in trauma patients who universally have noninfectious systemic, and often pulmonary-specific, inflammation. In our study, we used a clinically-focused approach to capturing VAP based upon NHSN criteria or physician diagnosis accompanied by targeted antimicrobial therapy exceeding or equal to five days. Clearly, there will have been some cases included who would not have been diagnosed with VAP using a more stringent definition. Nonetheless, we felt that a five day antibiotic treatment period would limit the number of such cases, since in unclear cases antibiotics are often deescalated within 48–72 hours if an alternative diagnosis presents itself or the diagnosis of VAP is felt to be less likely. Additionally, since in the clinical care of patients there is frequently uncertainty around the diagnosis of VAP, and given the clinical focus of this study, we felt that this definition was likely sufficient for the outcomes evaluated here. However, obviously the means used to diagnose VAP will impact both rate data as well as attributable microbiological data.
In summary, healthcare-associated pneumonia in the combat casualty population evacuated from the theater of operation was overwhelmingly ventilator-associated, and was seen predominantly in subjects with head injuries with a higher ISS after sustaining a blast injury, and moderate blood product transfusion requirements in the first 24 hours following injury. This complication developed early in the hospital course after injury, and microbial incidence reflected a high proportion of gram-negative organisms. Despite the known high prevalence of MDR gram-negatives infecting combat casualties, only 21.6% of first-isolate GNR were MDR in this case series. We believe that these data have implications for prioritizing targeted research and ongoing efforts at VAP prevention in this population, and may suggest a limited requirement for empiric carbapenems and vancomycin in combat-injured patients with VAP.
Acknowledgments
We are indebted to the Infectious Disease Clinical Research Program Trauma Infectious Disease Outcomes Study team of clinical coordinators, microbiology technicians, data managers, clinical site managers, and administrative support personnel for their tireless hours to ensure the success of this project.
Funding sources: Support for this work (IDCRP-024) was provided by the Infectious Disease Clinical Research Program, a Department of Defense program executed through the Uniformed Services University of the Health Sciences. This project has been funded by the National Institute of Allergy and Infectious Diseases, National Institute of Health, under Inter-Agency Agreement Y1-AI-5072, and the Department of the Navy under the Wounded, Ill, and Injured Program.
The views expressed are those of the authors and do not necessarily reflect the official views or policies of the Uniformed Services University of the Health Sciences, the National Institute of Health or the Department of Health and Human Services, the Department of Defense or the Departments of the United States Army, Navy or Air Force. Mention of trade names, commercial products, or organization does not imply endorsement by the United States Government.
Footnotes
This material was previously presented at Infectious Disease Society of America (IDSA) 49th Annual Meeting (October 20–23, 2011), Boston, MA.
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