Pneumonia is a major risk factor of death after acute stroke. In a mouse model, preventive antibacterial therapy with moxifloxacin not only prevents the development of post-stroke infections, it also reduces mortality, and improves neurological outcome significantly. In this study we investigate whether this approach is effective in stroke patients.
Preventive ANtibacterial THERapy in acute Ischemic Stroke (PANTHERIS) is a randomized, double-blind, placebo-controlled trial in 80 patients with severe, non-lacunar, ischemic stroke (NIHSS>11) in the middle cerebral artery (MCA) territory. Patients received either intravenous moxifloxacin (400 mg daily) or placebo for 5 days starting within 36 hours after stroke onset. Primary endpoint was infection within 11 days. Secondary endpoints included neurological outcome, survival, development of stroke-induced immunodepression, and induction of bacterial resistance.
On intention-to treat analysis (79 patients), the infection rate at day 11 in the moxifloxacin treated group was 15.4% compared to 32.5% in the placebo treated group (p = 0.114). On per protocol analysis (n = 66), moxifloxacin significantly reduced infection rate from 41.9% to 17.1% (p = 0.032). Stroke associated infections were associated with a lower survival rate. In this study, neurological outcome and survival were not significantly influenced by treatment with moxifloxacin. Frequency of fluoroquinolone resistance in both treatment groups did not differ. On logistic regression analysis, treatment arm as well as the interaction between treatment arm and monocytic HLA-DR expression (a marker for immunodepression) at day 1 after stroke onset was independently and highly predictive for post-stroke infections.
PANTHERIS suggests that preventive administration of moxifloxacin is superior in reducing infections after severe non-lacunar ischemic stroke compared to placebo. In addition, the results emphasize the pivotal role of immunodepression in developing post-stroke infections.
Citation: Harms H, Prass K, Meisel C, Klehmet J, Rogge W, Drenckhahn C, et al. (2008) Preventive Antibacterial Therapy in Acute Ischemic Stroke: A Randomized Controlled Trial. PLoS ONE 3(5): e2158. https://doi.org/10.1371/journal.pone.0002158
Editor: Angel Chamorro, Stroke Unit, Hospital Clinic, Barcelona, Spain
Received: September 28, 2007; Accepted: March 28, 2008; Published: May 14, 2008
Copyright: © 2008 Harms et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was funded by the Heritage Pusch, the Hermann and Lilly Schilling Foundation, and the Charité Universitaetsmedizin Berlin (Althoff Fellowship to AM) and supported by the Bayer HealthCare AG and Bayer Vital GmbH, and the Helmholtz Association. The funding sources had no role in the study design, the collection, the analysis, and interpretation of data, in the writing of the report, and the decision to submit the article for publication. The authors were solely responsible for the trial protocol, the statistical plan, and had full access to the data.
Competing interests: HH, AM, KP, UD, EH, SB, and CM received speakers' honoraria from Bayer Vital GmbH. A patent application on anti-infective agents and immunmodulators used for preventive therapy following an acute cerebrovascular accident has been filed to the European Patent Office (PCT/EP03/02246); Patent owner: Charité Universitaetsmedizin Berlin; Patent inventors: AM, CM, KP, EH, UD.
The prognosis of stroke mainly depends on the incidence of complications , . Stroke-associated pneumonia, occurring in 7 to 22% , is one of the main severe complications ,  and thought to be the most common cause of poor outcome and death in stroke patients –. The risk for pneumonia is highest in the acute state of stroke  and in patients with non-lacunar strokes in the MCA territory . Several risk factors contribute to the increased susceptibility of stroke patients for infections: aspiration due to drowsiness, impaired bulbar reflexes, dysphagia, and hypostasis in bed-ridden patient's, as well as the need for invasive medical procedures . Recently, we demonstrated in a mouse stroke model that infections and mortality can effectively be reduced, and neurological outcome improved by preventive antibacterial therapy with the fluoroquinolone antibiotic moxifloxacin . Based on these findings we designed the PANTHERIS trial to investigate whether preventive antibacterial short-term therapy (PAT) reduces the incidence of infections compared to the current standard therapy. In an explorative fashion we tested whether PAT also reduces mortality and improves neurological outcome. To evaluate the safety of the proposed preventive regimen of treatment we tested whether PAT promotes resistance among facultative pathogenic bacteria. Finally, we seek for underlying immunological mechanisms of increased infectious susceptibility after stroke.
This investigator initiated study was designed as a randomized, double-blind, placebo-controlled trial in two academic centers (Charité Campus Mitte, Charité Campus Benjamin Franklin) and one community hospital (Unfallkrankenhaus Berlin), and was conducted between May 2003 and July 2006. The protocol was approved by the local ethics committee. Informed consent was obtained from the patient or their legal guardian. PANTHERIS was registered with ISRCTN74386719 at Current Controlled Trials (http://www.controlled-trials.com/ISRCTN74386719). Data safety was independently monitored and audited by local monitoring authorities (Koordinationszentrum für klinische Studien, KKS Charité). Study entry criteria were the occurrence of an acute ischemic stroke (between 9 and 36 h after onset) in the MCA territory with a score of at least 12 on the National Institute of Health Stroke Scale (NIHSS), and patient age of at least 18 years. Exclusion criteria were: hemorrhagic stroke, clinical signs of infection on admission, contraindications against moxifloxacin, preceding or ongoing antibiotic therapy within the last 24 h, participation in another interventional trial, or immunosuppressant treatment within the last 30 days. In order to avoid inclusion of lacunar strokes, only patients with signs of cortical involvement (e.g. aphasia, neglect) or with disturbances of consciousness in addition to hemiparesis were included if initial CT scan was negative for signs of ischemic stroke. We used a computer generated allocation schedule. Because of the greater number of strata, an adaptive randomization was adopted, including sex, affected MCA territory, age (≤64 vs. >64), and centre as stratifying factors . Trial pharmacists in each site labelled the trial drugs with sequential study numbers according to randomisation lists prepared by the trial statistician and dispensed the drugs. Study investigators and enrolling stuff were masked to the assignment.
Patients were randomly assigned to receive a daily iv infusion over 60 minutes either verum [n = 40, moxifloxacin 400 mg/250 mL solution for infusion (Avalox®, Bayer Vital GmbH)] or placebo [n = 40, riboflavin as a colorant, 20 mg/250 mL NaCl 0.9%] for five days starting within 36h after stroke onset. Verum and placebo medication were visually indistinguishable. In case of an intercurrent infection warranting treatment, in both groups the study medication was continued and supplemented by a treatment following predefined schemes: Treatment of 1) pneumonia: 3×1 g/d iv ceftazidime and 1×5 mg/kg bw/d iv tobramycin; 2) endocarditis/bacteriemia: 2×1g/d iv vancomycin 3) urinary tract infections: 2×400 mg iv ciprofloxacin. However, when infections were refractory to therapy, study medication could be discontinued, and treatment could be adapted following medical reasoning.
After admission all patients underwent cranial CT scanning to exclude intracranial hemorrhage. Patients were treated on stroke units according to recommendations of the European stroke initiative . C-reactive protein was measured daily. Neurological diagnostic work up aimed at identification of stroke cause, which was classified following TOAST criteria . Comorbidity factors were recorded. Neurological deficit was measured at admission and on days 2, 6, and 11 using NIHSS .
Primary endpoint was the infection rate within 11 days after stroke onset. The day when infection occurred refers to the day after stroke onset and not study treatment initiation. Infections were diagnosed according to modified criteria of the U.S. Centers for Disease Control and Prevention (CDC): Pneumonia was diagnosed when at least one of the first and one of the latter criteria were fulfilled: A) abnormal respiratory examination, pulmonary infiltrates in chest x-rays; B) productive cough with purulent sputum, microbiological cultures from lower respiratory tract or blood cultures, leukocytosis, and elevation of C-reactive protein (CRP). Diagnosis of urinary tract infection (UTI) was based on two of the following criteria: fever (>38·0°C), urine sample positive for nitrite, leucocyturia, and significant bacteriuria. Secondary endpoint measures were survival and functional outcome (Barthel Index ; BI) at day 180 after stroke. BI was dichotomized into good (BI≥60) and bad outcomes (BI<60).
Quantitative or semiquantitative cultures from lower respiratory tract (sputum, tracheobronchial or bronchoalveolar lavage), urine, and blood cultures (BacT/Alert FA aerobic and anaerobic bottles, Biomerieux, INC. Durham, NC 27704, USA) were performed in each case of infection. Urine samples were obtained from previously inserted urinary catheters. Significant bacteriuria was considered when >104 cfu/mL of a uropathogen were isolated. Quantitative cultures of bronchoalveolar lavage or tracheobronchial samples have used a diagnostic threshold of >104 cfu/mL and of >105 cfu/mL, respectively. Species identification and antimicrobial susceptibility testing (microbroth dilution test) followed standard operating procedures according to Clinical and Laboratory Standards Institute (CLSI). For isolation, identification and susceptibility testing of E. coli isolates before (day 1) and after treatment (day 9) with moxifloxacin or placebo, stool samples of each patient were cultured on TBX-Chromogen-Agar (Tryptone Bile-X-Glucoronic Agar-SIFIN GmbH, Berlin, Germany). After overnight incubation at 37°C, ten individual putative E. coli colonies were isolated. Following additional biochemical identification with VITEK2/GN-cards (Biomerieux, INC. Durham, NC 27704, USA) minimal inhibitory concentrations (MICs) of all E. coli isolates were determined by microdilution testing according to CLSI standards for ciprofloxacin (MIC ≤1 mg/L susceptible, MIC ≥4 mg/L resistant) and according to the European Committee on Antimicrobial Susceptibility Testing for moxifloxacin (MIC ≤0.5 mg/L susceptible, ≥2 mg/L resistant). E. coli isolates were further investigated for the presence of known mutations in the quinolone resistance determining region (QRDR) of the DNA gyrase subunit A gene gyrA. The gyrA (Ser-83) mutation was detected in isolated DNA by the mismatch amplification mutation assay (MAMA) as described earlier . Expression of human leukocyte antigen-DR (HLA-DR) on monocytes was determined by flow cytometry using a highly standardized quantitative assay as described earlier . Briefly, on days 1, 3, 8, 90, and 180 50 µl of EDTA-blood was stained with 20 µl of monoclonal phycoerythrin-conjugated anti-human leukocyte antigen-DR (HLA-DR) antibodies and peridin chlorophyll (PerCP-Cy5.5)-conjugated anti-CD14-antibodies (QuantiBrite™, Becton Dickinson) for 30 min in the dark at room temperature. For lysis of erythrocytes, samples were incubated with 500 µl FACS Lysing solution (Becton Dickinson) for 15 min in the dark at room temperature. Subsequently, cells were washed with 1 ml of FACS buffer and analyzed on a FACS Calibur flowcytometer using CellQuest software after QuantiBrite calibration for 1∶1 quantification. Final analysis was performed using Quanticalc software (all from Becton Dickinson) to obtain the molecules HLA-DR per cell from the measured geometric means. The inter-assay CV was <5% and the inter-lab CV of this assay was <20% .
Based on a retrospective analysis of infection rates in patients with acute ischemic stroke in the MCA territory treated in the participating centers (data not shown), an infection rate of 40% in the placebo group, and 10% in the group treated with moxifloxacin was assumed. A priori power analysis revealed that a sample size of n = 32 per group was needed (two-sided α = 5%, power 80%). With an estimated drop out rate of 20%, 40 patients per group were needed for enrolment. After enrolment of the last patient a blinded review meeting assessed study patients with respect to protocol violations, which were labelled as “invalid” for per protocol analysis. The efficacy of preventive antibacterial therapy in reducing the incidence of post-stroke infections was investigated using the per protocol population as the main analysis set instead of the intention to treat approach in this phase IIb trial.
Continuous variables were described using arithmetic mean, standard deviation, and 95% confidence interval (CI) for normally distributed data, or median and range for non-normally distributed data, respectively. Normal distribution was checked by Q-Q-Plots and tested using the modified Kolmogorov-Smirnov test . Absolute and relative frequencies were used for dichotomous variables. The infection rates (and other proportions) of placebo and verum group were compared using Fisher's exact test and the Cochran-Mantel-Haenszel-test, stratified for study centers. For analysis of CRP levels and daily maximum body temperature the multivariate repeated measures analysis of variance was done as described previously . Differences in CRP values between treatment groups were analyzed based on a mixed model of logarithmically transformed data. The parameters day and treatment are assumed fixed, the factor patient is assumed random. Measurements between patients are assumed independent distributed. Within patients a common, otherwise arbitrary covariance matrix is assumed. The following models were used. For the “no interaction model“: log(CRPij,p) = μ+αi+τj+p(τj)+εij., for the “interaction model”: log(CRPij,p) = μ+αi+τj+γij+p(τj)+εij, where μ is the grand mean, αi the day (i = 1, 2, 3, 4, 5, 6, 7, 9, 11), τj the treatment (j = 1 for verum, 2 for placebo), p(τj) the patient nested within treatment, γij the interaction treatment by day, and εij the error term. In order to analyse the impact of risk factors for stroke-associated infection multivariately, we used a multivariate logistic regression analysis, including the calculation of odds ratios and the corresponding 95% confidence intervals. Feature selection (in reduction steps) was applied to show the most important influencing (independent) factors. The clinical characteristics of both treatment groups and of patients without and with infection were compared in univariate analyses by Student's t test for continuous variables with a normal distribution. For non-normal data and categorical variables the Mann-Whitney U test and the Chi-Square test for few categories were used, respectively. Survival in treatment and infection groups was calculated according to Kaplan-Meier and compared univariately with Log-Rank-statistics. Multiple tests for differences between the groups in question have been regarded as exploratory ones and were not adjusted for multiplicity. A two-tailed p<0.05 was considered statistically significant. The statistical analysis used the Software Package for Social Sciences, SPSS for Windows, 13.0, SPSS, Inc., Chicago, IL and SAS, Version 9.1, by SAS Institute, Inc., Cary, NC, USA.
Eighty patients with acute ischemic stroke were randomized. For one patient informed consent was withdrawn before receiving study medication. Therefore, 79 patients were included into intention-to-treat (ITT) analysis (verum n = 39; placebo n = 40). Baseline characteristics were similarly matched in both treatment groups (Table 1), except for coronary heart disease which occurred more frequent in the verum group (p = 0.05). 66 patients (verum n = 35; placebo n = 31) were analysed per protocol (PP). Eight patients, who neither reached the primary endpoint nor completed the study protocol until day 11 had to be excluded from the PP analysis: Four patients (1 verum, 3 placebo) died within 3 days. In three patients, study medication was discontinued due to medical reasons (withdrawal of life supporting therapy, hemicraniectomy, blinding opened due to a suspected CNS infection as the cause of the neurological deficits instead of ischemic stroke). In one patient informed consent was withdrawn. Five additional patients (3 verum, 2 placebo) were retrospectively excluded due to protocol violations (e.g. allocated in infection group while failing predefined infection criteria) and considered “invalid” in the blinded reviewing process (Figure 1).
Primary endpoint: Prevention of post-stroke infections
In the ITT population (n = 79; Table 2A), 19 patients (24.1%) developed infections within 11 days after stroke onset. Six patients (15.4%) treated with moxifloxacin developed an infection as compared with 13 patients (32.5%) in the placebo group (17.1% reduction, Fisher exact: p = 0.114; Mantel-Haenszel-test stratified for centres: p = 0.068). In PP population (n = 66) infection rate with n = 6 in the moxifloxacin group (17.1%) was significantly lower (Fisher exact: p = 0.032; Mantel-Haenszel: p = 0.033) compared to the placebo group with 13 patients (41.9%; Table 2B). The reduction of 24.8% (95% CI 2.8%–44.3%) approximates to a number needed to treat (NNT) of 4 (95% CI 2.3–35.3). Treatment with moxifloxacin led to a relative risk reduction of 46.4% in ITT and 59.1% in PP analyses, respectively. A difference in infection rate between both groups emerged between day 2 and 4 and was maintained until day 11 after stroke onset (data not shown). In either population 11 patients suffered from pneumonia (3 verum, 8 placebo) and 8 patients had a urinary tract infection (3 verum, 5 placebo). On average, pneumonia was diagnosed 4.7 days (±2.5) after stroke, and urinary tract infection after 5.2 days (±2.9). In the ITT population the incidence of pneumonia was 8/40 (20.0%) of the placebo group compared with 3/39 (7.7%) of the verum group (12.3% reduction, p = 0.193). In the PP population 8/31 (25.8%) of placebo treated patients suffered from pneumonia, compared to 3/35 (8.6%) of the verum group (reduction 17.2%; p = 0.097). The incidence for urinary tract infections was similar for both treatment groups [ITT: 3/39 (7.7%) verum vs. 5/40 (12.5%) placebo; p = 0.712; PP: 3/35 (8.6%) verum vs. 5/31 (16.1%) placebo; p = 0.459).
Microbiological analysis of microorganisms isolated from patients in the placebo group with infections identified a typical bacterial spectrum of early onset nosocomial pneumonia or urinary tract infection (Table 3). The identification of relevant pathogens was successful in 5 of 11 lower respiratory tract infections and in 4 of 8 urinary tract infections. In the verum group we identified one patient with post-stroke pneumonia caused by methicillin-resistant Staphylococcus aureus (MRSA). Analyzing microbiological isolates obtained from the same patient before starting study medication revealed MRSA colonization.
Analysis of moxifloxacin resistance
We investigated ciprofloxacin and moxifloxacin susceptibility in E. coli isolated from stool samples before and after treatment. Before treatment, microbiological analysis of stool samples from 59 patients revealed that 40 patients, 20 in each treatment group, were colonized with E. coli (Table 4). Susceptibility testing showed that isolates from 39 patients were susceptible to ciprofloxacin and moxifloxacin. One patient in the placebo group carried a mixed culture of susceptible and resistant E. coli. Three days after the end of the treatment period (day 9), stool samples of the same 20 patients of each study group revealed that E. coli could be re-isolated from 3 patients of verum group (15%) and from 14 patients of placebo group (70%). Resistant isolates were detected in the one patient from the placebo group, who was already initially colonized by resistant E. coli (see above) and in one additional patient in the verum group. Genetic analysis by MAMA assay demonstrated that the gyrA (Ser-83) mutation was present in resistant E. coli isolates but absent in all other susceptible isolates. This indicates that fluoroquinolone resistance in both patients was caused by known molecular changes in the DNA gyrase.
At study entry no patient was under mechanical ventilation (MV). Within 11 days, seven patients (1 verum, 6 placebo) in the ITT population (Table 1) and five patients (1 verum, 4 placebo) in the PP population underwent MV. Frequencies of MV were not significantly different between both treatment groups (Table 1). Median time point for beginning of MV was at day 3 (range 1–8). The MV of the verum-treated patient started at day 2. This patient developed pneumonia on day five. From the 6 patients of the placebo group which underwent MV (median day 3; range: 1–8) two underwent intubation with clinical signs of pneumonia, and in one patient MV was necessary four days after onset of pneumonia (median day 3, range: 2–4). From the 7 patients undergoing MV two (both from placebo group) died within one month (day 22 and 30).
Daily maximum body temperature and C-reactive protein
Patient maximum body temperature per day did not differ significantly between both treatment groups (ITT population; data not shown). CRP levels from patients (ITT population) of the placebo group increased significantly more than in the verum group (p = 0,0186; Figure 2). Comparing CRP levels univariately, a significantly lower CRP concentration was found in the verum group at days 3, 5, 6 and 7, which followed the treatment period with an interval of one day (Figure 2).
Time course of CRP levels in placebo and verum group shown by boxplots. Number of patients is indicated by N. CRP levels in the moxifloxacin group are significant lower compared to the placebo group. The p-values for the main effects are <0.0001 for day of CRP measurement and 0.0186 for treatment (multivariate analysis of variance for repeated measurements on logarithmically transformed data, no interaction model). The dependency between treatment and day of CRP measurement has a p-value of 0.0845 (interaction model). In patients of the verum group CRP concentration are significantly lower compared to patients of the placebo group 3, 5, 6, and 7 days after stroke (* p<0.05; ** p<0.005).
To avoid a preselection bias, cumulative survival analyses are based on ITT and not PP population, since patients who died within the first 11 days after stroke without reaching the primary endpoint were considered as ‘drop outs’ for PP population. Seven (3 verum, 4 placebo) of 79 patients (8.9%) died within 11 days after stroke onset. Within 6 month after stroke 13 (6 verum, 7 placebo) of 72 patients (18.1%) died, and 7 patients were lost in follow-up (3 verum, 4 placebo). Survival did not differ significantly between placebo and verum group 180 days after stroke onset (Log Rank p = 0.618, Figure 3). However, cumulative survival of patients with infection compared to patients without infection was significantly different (p<0.001) during follow-up period (Figure 4). Patients with stroke-associated pneumonia had a significantly lower (p = 0.022) survival rate in follow-up compared with patients without infections whereas patients with urinary tract infections showed no differences in cumulative survival compared with patients without infections (p = 0.898, data not shown).
Crosses indicate time points when patients were lost to follow-up (‘censored’; n = 7; verum n = 3, placebo n = 4 placebo). Seven (verum n = 3, placebo n = 4) of 79 patients (8.9%) died within 11 days after stroke onset. Within 6 month after stroke 13 (verum n = 6, placebo n = 7) of 72 patients (18.1%) died.
Crosses indicate time points when patients were lost to follow-up (‘censored’; n = 7, infection n = 1, no infection n = 6). Seven (no infection n = 5, infection n = 2) of 79 patients (8.9%) died within 11 days after stroke onset. Within 6 month after stroke 13 (infection n = 6, no infection n = 7) of 72 patients (18.1%) died.
Neurological outcome 6 month after stroke onset was determined by using the Barthel Index (BI) as a measure of limitations in activities of daily living. Comparing both treatment arms after dichotomization, in the ITT population the rate of patients with good outcome (BI≥60) was 64% in the verum group (14 out of 22) compared to 55% in the placebo group (11 out of 20) (p = 0.574). In the PP population the rate of patients with good outcome was 67% in the verum group (14 out of 21) compared to 55% in the placebo group (10 out of 18) (p = 0.483). In ITT as well as PP population, both treatment groups displayed the same median 70 (p = 0.700; p = 0.543). In the ITT population the rate of patients with good outcome was 61% in the non-infection group (20 out of 33 patients) compared to 63% in the infection group (5 out of 8, p = 0.922). In the PP population the rate of patients with a BI≥60 was 61% in the non-infection group (19 out of 31 patients) compared to 63% in the infection group (5 out of 8, p = 0.951).
Levels of monocytic HLA-DR expression
To determine the impact of cerebral ischemia on immune competence in relation to the risk of post-stroke infections we used a novel standardized assay to quantify the expression of monocytic HLA-DR. All patients (PP population) showed signs of post-stroke immunodepression, as indicated by significantly reduced monocytic HLA-DR expression at days 1, 3, and 8 compared to 3 and 6 months after stroke (Figure 5a). There were no significant differences in the time course of monocytic HLA-DR levels between the placebo and verum group (Figure 5b). However, infected patients in the placebo group had significantly lower monocytic HLA-DR levels at days 1, 3, and 8, as shown in Figure 6a. In contrast, no significant differences in monocytic HLA-DR expression were observed between infected and non-infected patients in the verum group at all time points (Figure 6b). Notably, patients without infections in the verum group had significantly lower monocytic HLA-DR levels at day 1 compared to patients without infections in placebo group corroborating that moxifloxacin treatment effectively prevented infections in a proportion of these patients. At 6 month after stroke, monocytic HLA-DR expression returned to normal levels and was not signifcantly different between surviving patients with and without infections in both groups (Figure 6a, b).
a: Monocytic HLA-DR expression is significantly reduced in all patients at days 1, 3, and 8 compared to 90 and 180 days after stroke (*** p<0.001). b: The time course of monocytic HLA-DR expression is not significantly different between patients from the placebo and verum groups. Dashed lines indicate the upper and lower reference range for monocytic HLA-DR levels in healthy individuals (5% percentile = 18036 mAb/cell; 95% percentile = 57958 mAb/cell).
a: In the placebo group, monocytic HLA-DR expression in patients with infections is significantly reduced compared to patients without infections at day 1 (** p = 0.003), 3 (** p = 0.005), and 8 (*** p<0.001) days, but not at day 180 after stroke. b: In the verum group, monocytic HLA-DR expression is not significantly different between patients with and without infections. Dashed lines indicate the upper and lower reference range for monocytic HLA-DR levels in healthy individuals (5% percentile = 18036 mAb/cell; 95% percentile = 57958 mAb/cell).
Risk factors of post-stroke infections
Infection rate within 11 days was significantly associated with tube feeding, mechanical ventilation, treatment, and monocytic HLA-DR levels at baseline (day 1 after stroke onset and before study treatment onset) in univariate PP analysis of the placebo group (Table 5). Comparing patients with and without infections of both treatment arms in the PP population (data not shown) only tube feeding was significantly more frequent in infected patients (p = 0.001). We performed regression analysis in PP population adjusted for NIHSS at admission, age, tube feeding, mechanical ventilation, monocytic HLA-DR expression at day 1 post stroke and treatment arm, which revealed that treatment arm and the interaction between treatment arm and HLA-DR expression were the strongest independent predictors for post-stroke infections (Table 6).
Table 7 shows types and frequencies of adverse events (AE) in ITT population reported over the whole study period including 6 month follow-up. There were no serious adverse events other than the above reported 19 cases of infections and 12 deaths of patients. Overall 40 cardiovascular, neurological, gastrointestinal, laboratory, and general medical AE were reported. Concerning the frequency of AE both treatment groups did not differ. There was no report of AE related to study medication.
PANTHERIS, is an investigator-initiated, multi-center, randomised, double-blind, placebo-controlled trial. PP analysis demonstrates that preventive antibiotic therapy with moxifloxacin within 36 hours after stroke onset reduces infection rate in patients with severe ischemic stroke in the territory of the middle cerebral artery, while ITT analysis revealed only a trend towards beneficial effects for this treatment strategy. Patients in the placebo group were treated according to current treatment guidelines. With respect to antibiotics, they were fully and effectively treated as soon as antibiotic medication was indicated, i.e. as soon as an infection was diagnosed , . Thus, PP analysis of our proof of principle trial provides for the first time evidence for a superiority of a preventive anti-infective therapy over current standard therapy.
Up to 95% of patients suffer from at least one relevant complication within the first three months after stroke . Thus, for the majority of stroke patients, general measures targeting early identification and treatment of complications remain the major medical challenge. Complications impair functional and neurological outcome , , . Treatment in dedicated stroke units was demonstrated to reduce the incidence of stroke-associated complications . However, even in stroke units, infections after stroke remain common complications with a frequency between 21 and 65% . Among infections, pneumonia have the greatest impact on the neurological outcome and mortality rate after stroke , , , . Pneumonia represents the leading cause of in-hospital mortality of stroke patients, accounting for 31% of all death .
Currently, post-stroke pneumonia is thought to be a consequence of aspiration due to dysphagia and immobilization , , –. Forty to 70% of patients develop dysphagia within 3 days after stroke, 40% of them aspirate and approximately one third develop pneumonia , . As stroke patients with dysphagia are at risk for pneumonia, post-stroke pneumonia is thought to be a preventable complication. Once dysphagia is diagnosed, measures can be taken aimed at prevention of aspiration , . Feeding tubes are often used to prevent aspiration pneumonia ,  but were also identified as the strongest independent predisposing factor for acute post-stroke infections . In the PANTHERIS population, tube feeding is associated with a significantly higher risk of infections, however, it was not an independent risk factor for infections. Results from the large FOOD trials suggest that early tube feeding neither prevents nor favours infection rates .
Although post-stroke aspiration increases the risk of developing pneumonia by sevenfold, aspiration alone is not sufficient to explain the high incidence of pneumonia in acute stroke , , , , . About 50% percent of healthy subjects also aspirate pharyngeal secrets every night to a similar extend as stroke patients, however, without developing pneumonia , . Thus, our understanding of the high incidence of pneumonia in stroke patients is still incompletely. Since several immune dysfunctions have been reported in patients with acute CNS injury, stroke-induced changes in immunity may explain the high incidence of infections , , . In a murine model of cerebral ischemia we provided experimental proof that a neuro-endocrine-mediated systemic immunodepression is an essential cause for a decreased antibacterial defense after acute ischemic stroke leading to post-stroke pneumonia . We further demonstrated that otherwise harmless minor bacterial aspiration leads to severe pneumonia and bacteriemia after ischemic stroke suggesting that the deleterious combination of stroke-induced immunodeficiency with stroke-facilitated aspiration dramatically increases the susceptibility to infection . Results from the PANTHERIS trial provides further evidence for a stroke-induced immunodepression in stroke patients causing post-stroke infections. As marker for immune competency we measured the monocytic HLA-DR expression, which is a well known and sensitive marker for a disturbed immune function in septic and critically ill patients , –. Here we describe a significantly reduced monocytic HLA-DR expression in the very early phase after stroke compared to 3 and 6 months after stroke. Remarkably, patients with infections in the placebo, but not verum group had significantly lower monocytic HLA-DR levels at days 1, 3, and 8 compared to non-infected patients. Notably, patients without infections in the verum group had significantly lower monocytic HLA-DR levels at the first day after stroke onset compared to patients without infections in placebo group corroborating that moxifloxacin treatment effectively prevented infections in a proportion of these patients. Furthermore, reduced monocytic HLA-DR expression at day 1 after stroke and before study treatment onset was a strong independent predictor of subsequent post-stroke infections in the placebo group, but not in the moxifloxacin group. Since there were no significant differences in the time course of monocytic HLA-DR levels between the placebo and verum groups, it is rather unlikely that post-stroke infections by itself cause the reduced HLA-DR expression.
Since the established general measures do not effectively prevent post-stroke infections, and in the light of our pathophysiological concept  of post-stroke infections and our preclinical data , Preventive Antibacterial Therapy (PAT) warrants further attention as promising new strategy. Using our experimental model of post-stroke infections, we have demonstrated that post-stroke infections can effectively be reduced by preventive antibiotic therapy with moxifloxacin. More importantly, in this stroke model moxifloxacin not only prevents the development of infections and fever, it also significantly reduces mortality, and improves neurological outcome . Consequently, the primary endpoint of the PANTHERIS trial aimed at preventing severe stroke-associated infections, in particular pneumonia. Based on a retrospective analysis of stroke patients in participating stroke units infections arise between 2 and 7 days after stroke onset (data not shown). In order to cover this critical time period effectively, in PANTHERIS treatment was started 9 to 36 hours after stroke onset and continued for 5 days. In order to ensure that preventive antibacterial therapy not only shifts infections to a later time point infection rate was studied within 11 days post stroke. In the per protocol analysis, PANTHERIS demonstrated the efficacy of preventive anti-infective therapy with moxifloxacin. Compared to an infection rate of 41.9% in the standard therapy (placebo) group, only 17.1% of verum treated patients suffered from infections. Further evidence for the efficacy of preventive anti-infective therapy is the significant reduction of C-reactive protein in the moxifloxacin treated group, compared with placebo. Of all infections, predominantly pneumonia seems to be prevented, although this difference did not reach statistic significance. Mechanical ventilation, a known strong risk factor for nosocomial pneumonia , appeared to be more frequent in placebo compared to moxifloxacin group, again without reaching statistical significance level. Although we cannot exclude an inclusion bias, it would seem rather unlikely that the higher pneumonia rate in the placebo group should be caused by the higher frequency of mechanical ventilation in this group. On the contrary, since pneumonia preceded mechanical ventilation in the placebo-treated patient, our data suggest that PAT might reduce the need for mechanical ventilation in patients with acute stroke.
Stroke-associated infections lead to poor outcome , however the support for an independent causal relationship between infections and poor neurological outcome was recently challenged . The PANTHERIS trial confirms that infections are associated with a significantly reduced survival rate. However, we remained short of demonstrating that patients treated with moxifloxacin should have improved clinical outcome or increased survival rate at 6 months after stroke, compared with patients treated according to current standards. These results seem to support the conclusion that stroke-associated infections are not the cause but rather a marker for a poor neurological outcome following stroke. However, since PANTHERIS was not sufficiently powered to address this issue, it remains open whether post-stroke infections lead to a worse outcome in stroke or not.
Chamorro and co-workers were the first to investigate in a randomized, placebo-controlled, double-blind trial the effect of preventive antibiotic therapy in stroke . Their single-center ESPIAS trial included 136 patients using levofloxacin in a dose of 500 mg/d for 3 days starting within 24 hours after stroke onset. Based on an interim futility analysis, ESPIAS was prematurely stopped since levofloxacin neither prevented post-stroke infections nor improved outcome in patients with ischemic or hemorrhagic stroke. ESPIAS even suggested a non-significant rise of mortality rate in the verum group. Although both trials are similar in design, several differences may explain the discordant results. For example, in ESPIAS patients were treated sooner but shorter after stroke onset compared to PANTHERIS. Since the majority of stroke-associated infections occur within five days after stroke onset , , , the longer treatment period in PANTHERIS may be a crucial advantage covering this critical time period. Furthermore, in PANTHERIS moxifloxacin was chosen for its superior effect against aerobic pathogens , as local epidemiological data of stroke patients (unpublished data) demonstrated a predominating Gram positive spectrum (Streptococcus pneumoniae, Staphylococcus aureus) in pneumonia with a low incidence of moxifloxacin resistant pathogens such as MRSA and Pseudomonas aeruginosa. In addition, in vitro antibacterial activity of moxifloxacin against anaerobes is superior compared to levofloxacin , which might be of relevance, since anaerobic pathogens need consideration in aspiration pneumonia .
A major drawback of preventive antibiotic therapy is the potential induction of antibiotic resistance. The observation that susceptible E. coli isolates from one patient became resistant during moxifloxacin treatment indicates selection of fluoroquinolone-resistant bacteria by preventive treatment with moxifloxacin. However, the low E. coli re-isolation rate of 15% among patients treated with moxifloxacin (as compared to 70% in the placebo group) suggests moxifloxacin affects normal gut flora and was effective enough to eradicate E. coli in 17 out of 20 patients. The fact that in six patients of the placebo group, E. coli could not be re-isolated after treatment suggests that the intestinal E. coli populations were not solely affected by moxifloxacin treatment.
In conclusion, PP analysis of PANTHERIS suggests that preventive antibiotic therapy with moxifloxacin reduces the infection rate in patients with severe ischemic stroke in the MCA territory. Since PANTHERIS as proof of concept trial was not designed to demonstrate clinical superiority of preventive antibacterial treatment in a routine environment and ITT analysis revealed only a trend towards beneficial effects of preventive antiinfective treatment caution is needed. Analyses of secondary endpoints demonstrate a significant lower survival rate during 6 month follow-up for patients with infections. Even though infection rate was reduced in patients treated with moxifloxacin, survival and neurological outcome were not significantly improved compared to placebo. PANTHERIS provides the framework of data for our current planning of a phase III trial to further investigate the innovative concept of preventive antibacterial therapy in stroke patients focussing on effectiveness rather than efficacy. If post-stroke infections are independent risk factors for poor outcome and if they can be effectively prevented, there will be an urgent need for predicting factors of post-stroke infections. Indicators of immunodepression such as monocytic HLA-DR expression may be interesting candidate markers to identify patients at high risk for infectious complications, which warrant further confirmation in prospective trials.
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We thank all doctors and nursing staff in the stroke units and all the patients who participated in this study. We are obliged to the advisory input of the PANTHERIS study group members Karl M. Einhäupl, Andreas Hartmann, Ingo Schmehl, and Wolfgang Haas. We are grateful to Tabea Willhelm and Nicole Schwarzlose for diligent data management throughout the whole trial; Hartmut Lode and Peter Reimnitz for their valuable comments on the manuscript; and Roswitha Berlinghoff and Gisela Korfmann for their continuous support to this project.
Conceived and designed the experiments: UD AM HH KP KW TW GA UG. Performed the experiments: SB AM HH KP CM JK WR CD EH. Analyzed the data: KW. Contributed reagents/materials/analysis tools: SB EH. Wrote the paper: AM HH JG. Other: Added contributions: CM SB KW EH UD KP. Added comments: WR CD VG TW GA HV JK.
- 1. Davenport RJ, Dennis MS, Wellwood I, Warlow CP (1996) Complications after acute stroke. Stroke 27: 415–20.RJ DavenportMS DennisI. WellwoodCP Warlow1996Complications after acute stroke.Stroke2741520
- 2. Johnston KC, Li JY, Lyden PD, Hanson SK, Feasby TE, et al. (1998) Medical and neurological complications of ischemic stroke: experience from the RANTTAS trial. RANTTAS investigators. Stroke; 29: 447–53.KC JohnstonJY LiPD LydenSK HansonTE Feasby1998Medical and neurological complications of ischemic stroke: experience from the RANTTAS trial. RANTTAS investigators.Stroke;2944753
- 3. Meisel C, Schwab JM, Prass K, Meisel A, Dirnagl U (2005) Central nervous system injury-induced immunedeficiency syndrome. Nat Rev Neurosci 6: 775–86.C. MeiselJM SchwabK. PrassA. MeiselU. Dirnagl2005Central nervous system injury-induced immunedeficiency syndrome.Nat Rev Neurosci677586
- 4. Langhorne P, Scott DJ, Robertson L, MacDonald J, Jones L, et al. (2000) Medical complications after stroke: a multicenter study. Stroke 31: 1223–29.P. LanghorneDJ ScottL. RobertsonJ. MacDonaldL. Jones2000Medical complications after stroke: a multicenter study.Stroke31122329
- 5. Katzan IL, Cebul RD, Husak SH, Dawson NV, Baker DW (2003) The effect of pneumonia on mortality among patients hospitalized for acute stroke. Neurology 60: 620–25.IL KatzanRD CebulSH HusakNV DawsonDW Baker2003The effect of pneumonia on mortality among patients hospitalized for acute stroke.Neurology6062025
- 6. Henon H, Godefroy O, Leys D, Mounier-Vehier F, Lucas C, et al. (1995) Early predictors of death and disability after acute cerebral ischemic event. Stroke 1995; 26: 392–8.H. HenonO. GodefroyD. LeysF. Mounier-VehierC. Lucas1995Early predictors of death and disability after acute cerebral ischemic event.Stroke 1995;263928
- 7. Hilker R, Poetter C, Findeisen N, Sobesky J, Jacobs A, et al. (2003) Nosocomial pneumonia after acute stroke: implications for neurological intensive care medicine. Stroke; 34: 975–81.R. HilkerC. PoetterN. FindeisenJ. SobeskyA. Jacobs2003Nosocomial pneumonia after acute stroke: implications for neurological intensive care medicine.Stroke;3497581
- 8. Heuschmann PU, Kolominsky-Rabas PL, Misselwitz B, Hermanek P, Leffmann C, et al. (2004) Predictors of in-hospital mortality and attributable risks of death after ischemic stroke: the German Stroke Registers Study Group. Arch Intern Med 2004; 164: 1761–68.PU HeuschmannPL Kolominsky-RabasB. MisselwitzP. HermanekC. Leffmann2004Predictors of in-hospital mortality and attributable risks of death after ischemic stroke: the German Stroke Registers Study Group.Arch Intern Med 2004;164176168
- 9. Kong KH, Chua KS, Tow AP (1998) Clinical characteristics and functional outcome of stroke patients 75 years and older. Arch Phys Med Rehabil 79: 1535–39.KH KongKS ChuaAP Tow1998Clinical characteristics and functional outcome of stroke patients 75 years and older.Arch Phys Med Rehabil79153539
- 10. Perry L, Love CP (2001) Screening for dysphagia and aspiration in acute stroke: a systematic review. Dysphagia 16: 7–18.L. PerryCP Love2001Screening for dysphagia and aspiration in acute stroke: a systematic review.Dysphagia16718
- 11. Meisel C, Prass K, Braun J, Victorov I, Wolf T, et al. (2004) Preventive Antibacterial Treatment Improves the General Medical and Neurological Outcome in a Mouse Model of Stroke. Stroke 35: 2–6.C. MeiselK. PrassJ. BraunI. VictorovT. Wolf2004Preventive Antibacterial Treatment Improves the General Medical and Neurological Outcome in a Mouse Model of Stroke.Stroke3526
- 12. Taves DR (1974) Minimization: A new method of assigning patients to treatment and control groups. Clin Pharmacol Ther, 15: 443–453.DR Taves1974Minimization: A new method of assigning patients to treatment and control groups.Clin Pharmacol Ther,15443453
- 13. Toni D, Chamorro A, Kaste M, Lees K, Wahlgren NG, et al. (2004) Acute treatment of ischaemic stroke. European Stroke Initiative. Cerebrovasc Dis 2004; 17: Suppl 230–46.D. ToniA. ChamorroM. KasteK. LeesNG Wahlgren2004Acute treatment of ischaemic stroke. European Stroke Initiative.Cerebrovasc Dis 2004;17Suppl 23046
- 14. Adams HP, Bendixen BH, Kappelle LJ, Biller J, Love BB, et al. (1993) Classification of subtype of acute ischemic stroke: definitions for use in a multicenter clinical trial. Stroke 1993; 24: 35–41.HP AdamsBH BendixenLJ KappelleJ. BillerBB Love1993Classification of subtype of acute ischemic stroke: definitions for use in a multicenter clinical trial.Stroke 1993;243541
- 15. Brott T, Adams HP, Olinger CP, Marler JR, Barsan WG, et al. (1989) Measurments of acute cerebral infarction: a clinical examination scale. Stroke 1989; 46: 660–62.T. BrottHP AdamsCP OlingerJR MarlerWG Barsan1989Measurments of acute cerebral infarction: a clinical examination scale.Stroke 1989;4666062
- 16. Mahoney F, Barthel D (1965) Functional evaluation: the Barthel index. Md Med J 14: 61–5.F. MahoneyD. Barthel1965Functional evaluation: the Barthel index.Md Med J14615
- 17. Qiang YZ, Qin T, Fu W, Cheng WP, Li YS, et al. (2002) Use of a rapid mismatch PCR method to detect gyrA and parC mutations in ciprofloxacin-resistant clinical isolates of Escherichia coli. J Antimicrob Chemother 2002; 49: 549–52.YZ QiangT. QinW. FuWP ChengYS Li2002Use of a rapid mismatch PCR method to detect gyrA and parC mutations in ciprofloxacin-resistant clinical isolates of Escherichia coli.J Antimicrob Chemother 2002;4954952
- 18. Strohmeyer JC, Blume C, Meisel C, Doecke WD, Hummel M, et al. (2003) Standardized immune monitoring for the prediction of infections after cardiopulmonary bypass surgery in risk patients. Cytometry B Clin.Cytom. 53: 54–62.JC StrohmeyerC. BlumeC. MeiselWD DoeckeM. Hummel2003Standardized immune monitoring for the prediction of infections after cardiopulmonary bypass surgery in risk patients.Cytometry B Clin.Cytom.535462
- 19. Docke WD, Randow F, Syrbe U, Krausch D, Asadullah K, et al. (1997) Monocyte deactivation in septic patients: restoration by IFN-gamma treatment. Nat Med. 3: 678–81.WD DockeF. RandowU. SyrbeD. KrauschK. Asadullah1997Monocyte deactivation in septic patients: restoration by IFN-gamma treatment.Nat Med.367881
- 20. Lilliefors HW (1967) On the Komogorov-Smirnov test for normality with mean and variance unknown. J Am Stat Assoc 62: 399–402.HW Lilliefors1967On the Komogorov-Smirnov test for normality with mean and variance unknown.J Am Stat Assoc62399402
- 21. Brunner E, Domhof S, Langer F (2002) : Nonparametric analysis of longitudinal data in factorial experiments, expanded and translated edition. New York: John Wiley and Sons. E. BrunnerS. DomhofF. Langer2002: Nonparametric analysis of longitudinal data in factorial experiments, expanded and translated edition.New YorkJohn Wiley and Sons
- 22. Adams HP Jr, del Zoppo G, Alberts MJ, Bhatt DL, Brass L, et al. (2007) Guidelines for the early management of adults with ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: the American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. Stroke 38: 1655–711.HP Adams JrG. del ZoppoMJ AlbertsDL BhattL. Brass2007Guidelines for the early management of adults with ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: the American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists.Stroke381655711
- 23. Khaja AM, Grotta JC (2007) Established treatments for acute ischaemic stroke. Lancet 2007; 369: 319–30.AM KhajaJC Grotta2007Established treatments for acute ischaemic stroke.Lancet 2007;36931930
- 24. Aslanyan S, Weir CJ, Diener HC, Kaste M, Lees KR, GAIN International Steering Committee and Investigators (2004) Pneumonia and urinary tract infection after acute ischaemic stroke: a tertiary analysis of the GAIN International trial. Eur J Neurol 11: 49–53.S. AslanyanCJ WeirHC DienerM. KasteKR LeesGAIN International Steering Committee and Investigators2004Pneumonia and urinary tract infection after acute ischaemic stroke: a tertiary analysis of the GAIN International trial.Eur J Neurol114953
- 25. Nakajoh K, Nakagawa T, Sekizawa K, Matsui T, Arai H, et al. (2000) Relation between incidence of pneumonia and protective reflexes in post-stroke patients with oral or tube feeding. J Intern Med 2000; 247: 39–42.K. NakajohT. NakagawaK. SekizawaT. MatsuiH. Arai2000Relation between incidence of pneumonia and protective reflexes in post-stroke patients with oral or tube feeding.J Intern Med 2000;2473942
- 26. Hamidon BB, Raymond AA, Norlinah MI, Jefferelli SB (2003) The predictors of early infection after acute ischemic stroke. Singapore Med J. 2003; 44: 344–46.BB HamidonAA RaymondMI NorlinahSB Jefferelli2003The predictors of early infection after acute ischemic stroke.Singapore Med J. 2003;4434446
- 27. Vernino S, Brown RD Jr, Sejvar JJ, Sicks JD, Petty GW, et al. (2003) Cause-specific mortality after first cerebral infarction: a population-based study. Stroke 34: 1828–32.S. VerninoRD Brown JrJJ SejvarJD SicksGW Petty2003Cause-specific mortality after first cerebral infarction: a population-based study.Stroke34182832
- 28. Hinchey JA, Shephard T, Furie K, Smith D, Wang D, et al. (2005) Formal dysphagia screening protocols prevent pneumonia. Stroke Practice Improvement Network Investigators. Stroke 36: 1972–1976.JA HincheyT. ShephardK. FurieD. SmithD. Wang2005Formal dysphagia screening protocols prevent pneumonia. Stroke Practice Improvement Network Investigators.Stroke3619721976
- 29. DePippo K, Holas M, Reding MJ, Mandel F, Lesser M (1994) Dysphagia therapy following stroke: a controlled trial. Neurology 1994; 44: 1655–1660.K. DePippoM. HolasMJ RedingF. MandelM. Lesser1994Dysphagia therapy following stroke: a controlled trial.Neurology 1994;4416551660
- 30. Nakajima M, Kimura K, Inatomi Y, Terasaki Y, Nagano K, et al. (2006) Intermittent oro-esophageal tube feeding acute stroke patients – a pilot study. Acta Neurol Scand 2006; 113: 36–39.M. NakajimaK. KimuraY. InatomiY. TerasakiK. Nagano2006Intermittent oro-esophageal tube feeding acute stroke patients – a pilot study.Acta Neurol Scand 2006;1133639
- 31. Vargas M, Horcajada JP, Obach V, Revilla M, Cervera Á, et al. (2006) Clinical consequences of infection in patients with acute stroke: Is it prime time for further antibiotic trials? Stroke 2006; 37: 461–65.M. VargasJP HorcajadaV. ObachM. RevillaÁ. Cervera2006Clinical consequences of infection in patients with acute stroke: Is it prime time for further antibiotic trials?Stroke 2006;3746165
- 32. Dennis M, Lewis S, Cranswick G, Forbes J, The FOOD Trial Collaboration (2005) Effect of timing and method of enteral tube feeding for dysphagic stroke patients (FOOD): a multicentre randomised controlled trial. Lancet 365: 764–772.M. DennisS. LewisG. CranswickJ. ForbesThe FOOD Trial Collaboration2005Effect of timing and method of enteral tube feeding for dysphagic stroke patients (FOOD): a multicentre randomised controlled trial.Lancet365764772
- 33. Dziewas R, Ritter M, Schilling M, Konrad C, Oelenberg S, et al. (2004) Pneumonia in acute stroke patients fed by nasogastric tube. J Neurol Neurosurg Psychiatry 75: 852–56.R. DziewasM. RitterM. SchillingC. KonradS. Oelenberg2004Pneumonia in acute stroke patients fed by nasogastric tube.J Neurol Neurosurg Psychiatry7585256
- 34. Huxley EJ, Viroslav J, Gray WR, Pierce AK (1978) Pharyngeal aspiration in normal adults and patients with depressed consciousness. American Journal of Medicine 1978; 64: 564–68.EJ HuxleyJ. ViroslavWR GrayAK Pierce1978Pharyngeal aspiration in normal adults and patients with depressed consciousness.American Journal of Medicine 1978;6456468
- 35. Gleeson K, Eggli DF, Maxwell SL (1997) Quantitative aspiration during sleep in normal subjects. Chest 1997; 111: 1266–72.K. GleesonDF EggliSL Maxwell1997Quantitative aspiration during sleep in normal subjects.Chest 1997;111126672
- 36. Dirnagl U, Klehmet J, Braun JS, Harms H, Meisel C, et al. (2007) Stroke-induced immunodepression: experimental evidence and clinical relevance. Stroke 38: 770–3.U. DirnaglJ. KlehmetJS BraunH. HarmsC. Meisel2007Stroke-induced immunodepression: experimental evidence and clinical relevance.Stroke387703
- 37. Chamorro A, Amaro , S , Vargas M, Obach V, Cervera A, et al. (2007) Catecholamines, infection, and death in acute ischemic stroke. J Neurol Sci. 252: 29–35.A. ChamorroAmaroSM. VargasV. ObachA. Cervera2007Catecholamines, infection, and death in acute ischemic stroke.J Neurol Sci.2522935
- 38. Prass K, Meisel C, Hoflich C, Braun J, Halle E, et al. (2003) Stroke-induced immunodeficiency promotes spontaneous bacterial infections and is mediated by sympathetic activation reversal by poststroke T helper cell type 1-like immunostimulation. J Exp Med. 2003; 198: 725–36.K. PrassC. MeiselC. HoflichJ. BraunE. Halle2003Stroke-induced immunodeficiency promotes spontaneous bacterial infections and is mediated by sympathetic activation reversal by poststroke T helper cell type 1-like immunostimulation.J Exp Med. 2003;19872536
- 39. Prass K, Braun JS, Dirnagl U, Meisel C, Meisel A (2006) Stroke propagates bacterial aspiration to pneumonia in a model of cerebral ischemia. Stroke. 2006; 37: 2607–12.K. PrassJS BraunU. DirnaglC. MeiselA. Meisel2006Stroke propagates bacterial aspiration to pneumonia in a model of cerebral ischemia.Stroke. 2006;37260712
- 40. Asadullah K, Woiciechowsky CW, Docke D, Egerer K, Kox WJ, et al. (1995) Very low monocytic HLA-DR expression indicates high risk of infection–immunomonitoring for patients after neurosurgery and patients during high dose steroid therapy. Eur.J.Emerg.Med. 2: 184–190.K. AsadullahCW WoiciechowskyD. DockeK. EgererWJ Kox1995Very low monocytic HLA-DR expression indicates high risk of infection–immunomonitoring for patients after neurosurgery and patients during high dose steroid therapy.Eur.J.Emerg.Med.2184190
- 41. Lekkou A, Karakantza M, Mouzaki A, Kalfarentzos F, Gogos CA (2004) Cytokine production and monocyte HLA-DR expression as predictors of outcome for patients with community-acquired severe infections. Clin.Diagn.Lab Immunol. 11: 161–167.A. LekkouM. KarakantzaA. MouzakiF. KalfarentzosCA Gogos2004Cytokine production and monocyte HLA-DR expression as predictors of outcome for patients with community-acquired severe infections.Clin.Diagn.Lab Immunol.11161167
- 42. Monneret G, Lepape A, Voirin N, Bohe J, Venet F, et al. (2006) Persisting low monocyte human leukocyte antigen-DR expression predicts mortality in septic shock. Intensive Care Med. 32: 1175–1183.G. MonneretA. LepapeN. VoirinJ. BoheF. Venet2006Persisting low monocyte human leukocyte antigen-DR expression predicts mortality in septic shock.Intensive Care Med.3211751183
- 43. Porzecanski I, Bowton DL (2006) Diagnosis and treatment of ventilator-associated pneumonia. Chest 2006; 130: 597–604.I. PorzecanskiDL Bowton2006Diagnosis and treatment of ventilator-associated pneumonia.Chest 2006;130597604
- 44. Chamorro A, Horcajada JP, Obach V, Vargas M, Revilla M, et al. (2005) The Early Systemic Prophylaxis of Infection After Stroke study: a randomized clinical trial. Stroke 36: 1495–500.A. ChamorroJP HorcajadaV. ObachM. VargasM. Revilla2005The Early Systemic Prophylaxis of Infection After Stroke study: a randomized clinical trial.Stroke361495500
- 45. Castillo J, Dávolos A, Marrugat J, Noya M (1998) Timing for fever-related brain damage in acute ischemic stroke. Stroke 29: 2455–60.J. CastilloA. DávolosJ. MarrugatM. Noya1998Timing for fever-related brain damage in acute ischemic stroke.Stroke29245560
- 46. Grau AJ, Buggle F, Schnitzler P, Spiel M, Lichy C, et al. (1999) Fever and infection early after ischemic stroke. J Neurol Sci 171: 115–20.AJ GrauF. BuggleP. SchnitzlerM. SpielC. Lichy1999Fever and infection early after ischemic stroke.J Neurol Sci17111520
- 47. Bartlett JG, Dowell SF, Mandell LA, File TM, Musher DM, et al. (2000) Practice guidelines for the management of communitiy-aquired pneumoni in adults. Clinical infectious diseases 31: 347–82.JG BartlettSF DowellLA MandellTM FileDM Musher2000Practice guidelines for the management of communitiy-aquired pneumoni in adults.Clinical infectious diseases3134782
- 48. Schumann R, Ackermann G, Pless B, Claros MC, Goldstein EJC, et al. (2000) In vitro activities of fourteen antimicrobial agents against obligated anaerobic bacteria. Int J antimicrob agents 16: 225–32.R. SchumannG. AckermannB. PlessMC ClarosEJC Goldstein2000In vitro activities of fourteen antimicrobial agents against obligated anaerobic bacteria.Int J antimicrob agents1622532
- 49. El Solh A, Okada M, Bhat A, Pietrantoni C (2003) Swallowing disorders post orotracheal intubation in the elderly. Intensive Care Med 29: 1451–5.A. El SolhM. OkadaA. BhatC. Pietrantoni2003Swallowing disorders post orotracheal intubation in the elderly.Intensive Care Med2914515