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High Cell-Free DNA Predicts Fatal Outcome among Staphylococcus aureus Bacteraemia Patients with Intensive Care Unit Treatment

  • Erik Forsblom ,

    erik.forsblom@helsinki.fi

    Affiliation Division of Infectious Diseases, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland

  • Janne Aittoniemi,

    Affiliation Department of Clinical Microbiology, Fimlab Laboratories, Tampere, Finland

  • Eeva Ruotsalainen,

    Affiliation Division of Infectious Diseases, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland

  • Visa Helmijoki,

    Affiliations Department of Clinical Microbiology, Fimlab Laboratories, Tampere, Finland, Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland

  • Reetta Huttunen,

    Affiliation Department of Internal Medicine, Tampere University Hospital, Tampere, Finland

  • Juulia Jylhävä,

    Affiliation Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland

  • Mikko Hurme,

    Affiliations Department of Clinical Microbiology, Fimlab Laboratories, Tampere, Finland, Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland

  • Asko Järvinen

    Affiliation Division of Infectious Diseases, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland

Abstract

Introduction

Among patients with bacteraemia or sepsis the plasma cell-free DNA (cf-DNA) biomarker has prognostic value and Pitt bacteraemia scores predict outcome. We evaluated the prognostic value of plasma cf-DNA in patients with Staphylococcus aureus bacteraemia (SAB) treated in the ICU or in the general ward.

Methods

418 adult patients with positive blood culture for S. aureus were prospectively followed for 90 days. SAB patients were grouped according to ICU treatment: 99 patients were treated in ICU within 7 days of documented SAB whereas 319 patients were managed outside ICU. Pitt bacteraemia scores were assessed at hospital arrival and cf-DNA was measured at days 3 and 5 from positive blood culture.

Results

SAB patients with high Pitt bacteraemia scores and ICU treatment presented higher cf-DNA values as compared to SAB patients with low Pitt bacteraemia scores and non-ICU treatment at both days 3 and 5. Among ICU patients cf-DNA >1.99 µg/ml at day 3 predicted death with a sensitivity of 67% and a specificity of 77% and had an AUC in receiver operating characteristic analysis of 0.71 (p<0.01). The cut-off cf-DNA >1.99 µg/ml value demonstrated a strong association to high Pitt bacteraemia scores (≥4 points) (p<0.000). After controlling for all prognostic markers, Pitt bacteraemia scores ≥4 points at hospital admission (OR 4.47, p<0.000) and day 3 cf-DNA (OR 3.56, p<0.001) were the strongest factors significantly predicting outcome in ICU patients. cf-DNA at day 5 did not predict fatal outcome.

Conclusion

High cf-DNA concentrations were observed among patients with high Pitt bacteraemia scores and ICU treatment. Pitt bacteraemia scores (≥4 points) and cf-DNA at day 3 from positive blood culture predicted death among SAB patients in ICU and were found to be independent prognostic markers. cf-DNA had no prognostic value among non-ICU patients.

Introduction

Staphylococcus aureus accounts for one fourth or one fifth of all bacteraemic infections worldwide [1], [2], [3], [4]. It is among the three most common pathogens in all types of infections in critically ill patients [5]. S. aureus bacteraemia (SAB) is commonly found also in previously healthy individuals and it is associated with high 7–39% overall mortality [6], [7], [8]. Up to one third of SAB patients need treatment in intensive care unit (ICU) [9], [10].

Biomarkers and intensive care scoring systems have been studied as clinical tools in the evaluation of severely ill patients with bacteraemia or sepsis and they may be used as an aid in risk stratification or as a surrogate marker for patient outcome, to identify a patient with increased probability of having a disease or a pathologic process, or to follow the treatment response [11], [12], [13], [14]. Several scoring systems e.g. the Acute Physiology and Chronic Health Evaluation II (APACHE II) or SOFA score (sequential organ failure assessment) are available for assessing severity of illness and predicting outcome among ICU patients [13], [14]. The Pitt bacteraemia score system is known to reflect severity of illness among SAB patients [15], [16] and the Pitt bacteraemia scores system was recently demonstrated to better predict mortality among ICU patients with sepsis as compared to APACHE II [12].

Cell-free DNA (cf-DNA) is a biomarker that has received a lot of attention in the research of critically ill patients recently [17], [18], [19], [20], [21], [22]. The term cf-DNA implies free DNA fragments in the plasma originating from necrosis and apoptotic cells [23]. Healthy individuals display low levels of cf-DNA in plasma [24] as phagocytes remove deceased cell debris [25]. Prediction of sepsis development among both critically ill patients [17] and in hospitalized patients [20] has been reflected by elevated cf-DNA levels. Sepsis is known to enhance apoptosis [26] and cell necrosis [27] and to lead to elevated cf-DNA levels [25], [28]. Plasma cf-DNA upon ICU admission has been shown to independently correlate with serum lactate elevation among patients with severe sepsis and septic shock. This may reflect the impact of sepsis related hypoxemia on apoptosis [19]. Non-survivors in ICU have been shown to have higher cf-DNA levels than survivors [17], [18], [19], [20], [29], [30]. High cf-DNA has been shown to be an independent prognostic marker for fatal outcome among bacteraemic patients [21]. Recently, a thorough retrospective study showed a very high discriminative capability of cf-DNA to predict mortality among ICU patients with severe sepsis [30].

The capability of cf-DNA to predict infection, sepsis and mortality has been evaluated in several studies [17], [19], [20], [21], [22], [29], [30]. However, the usefulness of cf-DNA measurement in bacteraemic patients has been evaluated only in a few studies including several different bacteraemic pathogens with higher cf-DNA levels observed in ICU treated patients [21] and in non-surviving severe sepsis patients in ICU [30]. The prognostic use and cut-off values of cf-DNA regarding bacteraemic ICU patients with only one causative organism has not been studied. The aim of our study was to evaluate and compare the prognostic value of cf-DNA, and its correlation to Pitt bacteraemia scores, in SAB patients with ICU treatment and in SAB patients managed without ICU treatment. We observed that cf-DNA levels correlated significantly with Pitt bacteraemia scores and both were independent predictors for death in SAB patients requiring ICU surveillance whereas cf-DNA had no outcome predictive value among SAB patients managed without ICU treatment.

Patient Cohort and Methods

Ethics statement

The trial was approved by The institutional review board of Helsinki University Central Hospital and

The Ethical committee of Helsinki University Central Hospital and by each study site and a written informed consent was provided by each patient [31].

Settings and study population

Adult patients with at least one positive blood culture for S. aureus were included from five university and seven central hospitals in Finland from January 1999 to May 1999 and January 2000 to August 2002. Altogether 430 SAB patients were included and followed prospectively for at least 90 days [31]. The median time between blood culture sampling and study inclusion was three days. Exclusion criteria included: age <18 years, pregnancy, breastfeeding, imprisonment, epilepsy, bacteraemia 28 days prior to the study, polymicrobial bacteraemia and meningitis [31]. All cases of methicillin-resistant S. aureus (MRSA) were excluded (N = 6). We documented data regarding gender, age, acquisition of SAB, underlying diseases and McCabe's classification, ICU treatment, parameters required for Pitt bacteraemia score calculation i.e. mental status, vital signs, requirement for mechanical ventilation, and recent cardiac arrest [32], acute liver of kidney failure, deep infection focus and laboratory findings including plasma cf-DNA and C-reactive protein (CRP) concentrations at days 3 and 5 from the positive blood culture sampling. Primary endpoint was regarded as mortality at 7, 28 or 90 days. Secondary end points were deep infection foci localized during the 90 days follow-up.

Follow-up time period

None of the patients were lost during the follow-up of 90 days. Patients that were transferred to other hospitals were followed from patient records and direct contact to that hospital. Patients who were not hospitalized at 90 days had a follow-up visit at the outpatient policlinic.

Definitions

SAB was regarded as healthcare-associated (HA) when the positive blood culture for S. aureus was obtained ≥48 h after hospital admission or when the patient had remained in a long-term care facility or undergone haemodialysis within the preceding two months. McCabe's criteria were used to classify underlying diseases [33]. Deep infection foci included mediastinitis, pneumonia, endocarditis, purulent arthritis, osteomyelitis, deep-seated abscess, and any foreign-body infection. Deep infection foci were documented either based on clinical suspicion or verified by bacteriological, radiological or pathological findings. Severe sepsis was classified as sepsis in combination with hypotension, hypoperfusion, or organ failure [34]. Complicated SAB was defined as SAB in combination with deep infection foci, severe sepsis, septic shock or high Pitt bacteraemia scores >4. Patients who needed ICU treatment within 7 days of positive blood culture were classified as ICU patients.

Cell-free DNA and C-reactive protein analysis

Plasma samples for cf-DNA and CRP measurements were taken on days 3 and 5 after blood culture collection as explained above and immediately frozen to minus 70 degrees Celsius. Quant-iT™ high-sensitivity DNA assay kit and QubitH fluorometer (Invitrogen, Carlsbad, CA, USA) were used to determine cf-DNA from plasma [21]. Manufacturer's directives were followed at each laboratory step. The intra-day variation coefficients at mean cf-DNA levels of 0.734 mg/ml, 1.377 mg/ml and 4.954 mg/ml were 1.8%, 4.3% and 1.7%, respectively and the corresponding inter-day variation coefficients were 3.8%, 5.0% and 3.2%, respectively [21]. Serum or plasma C-reactive protein (CRP) (use of plasma instead of serum began 18.3.2002) was subjected to automatic immunoturbidometric analysis using analysers 917 or Modular PP-analyser (Hitachi Ltd, Tokyo, Japan) and Tina-quant CRP reagents (Roche Diagnostics, Tina-quant CRP). The normal value of CRP concentration was <10 mg/L for both methods.

Statistical analysis

Data is presented either as absolute values and percentages or as median and interquartile ranges (IQR, 25th and 75th percentiles). Pearson's X2 -test was used to compare categorical variables whereas Mann-Whitney U-test was used for nonparametric data. Odds ratios (OR) with 95% confidence intervals (CI) were calculated. Receiver operating characteristic (ROC) curves were used to evaluate the discriminative power of cf-DNA in predicting 90-day mortality. The area under the curve (AUC) was calculated for each ROC curve. ROC-curves were drawn for cf-DNA and CRP. Univariate factors with p<0.1 were entered into a Cox regression model (proportional hazards regression) for analysis of factors predicting 90 days mortality. Analyses were done using SPSS version 12.0 (SPSS Inc., Chicago, IL, USA). All tests were two-tailed and p<0.05 was considered as significant. Youden index was defined as the sensitivity and specificity sum with the highest value or the ROC-curve point equally maximising both sensitivity and specificity values to locate the cut-off point.

Results

Patient characteristics and cf-DNA concentrations

Altogether 430 SAB patients were included into the study but due to missing plasma samples the results of 418 patients are shown. All patients received an effective antibiotic in vitro against their S. aureus blood isolate starting from the day of the positive blood culture. The majority of patients (76%) received a beta-lactam antibiotic. Vancomycin was used only in 2% of the patients and it was the only anti-microbial agent in 1% of patients.

The median cf-DNA concentrations at days 3 and 5 from the positive blood culture are shown in Table 1 stratified according to patient characteristics. At day 3, patient demographics or underlying conditions had no significant effect on the cf-DNA levels whereas at day 5, male gender (p<0.000), age over 60 years (p<0.05), alcoholism (p<0.05), diabetes (p<0.05) and coronary artery disease (p<0.01) were all associated with significantly higher cf-DNA concentrations. The lack of severe underlying diseases (i.e. McCabe's classification of healthy or nonfatal diseases) was associated to significantly lower cf-DNA values as compared to patients without these characteristics. Patients with chronic renal failure, dialysis treatment, rheumatoid or connective tissue diseases or malignancies did not present higher cf-DNA concentrations at neither 3 or at 5 days (Table 1). The cf-DNA concentrations at both days 3 and 5 correlated significantly with high Pitt bacteraemia scores (≥4 points). cf-DNA concentrations both at days 3 and 5 were significantly higher in ICU patients, in patients with a deep infection focus and in those who died as compared to patients without these factors (Table 1).

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Table 1. Plasma cell-free DNA (cf-DNA) concentrations (µg/ml) at days 3 and 5 from the positive blood culture in 418 patients with Staphylococcus aureus bacteraemia stratified according to patient demographics, underlying conditions, treatment in intensive care unit and mortality.

https://doi.org/10.1371/journal.pone.0087741.t001

ICU treatment

ICU patients had significantly more often alcoholism and a deep infection focus, and their mortality was significantly higher at 7, 28 and 90 days from the documented SAB as compared to non-ICU patients (data not shown). ICU non-survivors within 7 days of documented SAB had significantly higher cf-DNA values at day 3 even when patient related factors that might affect cf-DNA concentration were looked for separately i.e. age, underlying diseases, alcoholism, severe sepsis, need for inotropic support or mechanical ventilation, reduced degree of consciousness or high Pitt bacteraemia scores (≥4 points) (Table 2). At day 5, no difference in cf-DNA between non-survivors and survivors were seen (Table 2).

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Table 2. Plasma cell-free DNA (cf-DNA) concentrations (µg/ml) at days 3 and 5 from the positive blood culture in 99 patients with Staphylococcus aureus bacteraemia (SAB) treated in intensive care unit (ICU) within 7 days of documented bacteraemia.

https://doi.org/10.1371/journal.pone.0087741.t002

Cut-off values for cf-DNA in predicting death

In ICU patients, cf-DNA both at days 3 and 5 were found to be significant predictors for death as analysed by receiver operating characteristics (ROC) whereas CRP had no significant predictive value for mortality (Figure 1a). The AUC in the ROC analysis for the day 3 cf-DNA value in predicting death was 0.71 (95% CI 0.57–0.84, p<0.01) (Figure 1a). The cf-DNA cut-off value at day 3 was 1.99 µg/ml which predicted 90-day mortality with a sensitivity of 67% and a specificity of 77%. The cf-DNA cut-off value at day 5 was 1.69 µg/ml with a sensitivity of 63% and a specificity of 60% and an AUC of 0.71 (95% CI 0.58–0.84, p<0.01) in predicting death during 90 days follow-up (Figure 1a). When the ROC-curve analyses were repeated by grouping SAB patients according to ICU (N = 87) and non-ICU (N = 331) treatment within the first 3 days instead of the first 7 days the results were almost identical (data not shown). In non-ICU patients, the cf-DNA cut-off value at day 3 was 1.57 µg/ml which predicted 90-day mortality with a sensitivity of 62% and a specificity of 61%, and the AUC of 0.64 (95% CI 0.55–0.74, p<0.01) (Figure 1b). The cf-DNA cut-off value at day 5 was 1.49 µg/ml with a sensitivity of 65% and a specificity of 61%, and the AUC was 0.68 (95% CI 0.59–0.77, p<0.01) in predicting death for 90 days follow-up.

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Figure 1.

a: Receiver operating characteristic (ROC) curves for cf-DNA and C-reactive protein (CRP) for predicting 90-day mortality in patients with Staphylococcus aureus bacteraemia (SAB) treated in intensive care unit (ICU) during 7 days of documented bacteraemia (N = 99). The area under the curve (AUC) for the day 3 cf-DNA was 0.71 (95% CI 0.57–0.84) (p<0.01) with cut-off value of 1.99 µg/ml with sensitivity of 67% and specificity of 77%. For day 5 cf-DNA, the AUC was 0.71 (0.58–0.84) (p<0.01) with cut-off value of 1.69 µg/ml with sensitivity of 63% and specificity of 60%. The corresponding AUC for day 3 CRP was 0.46 (0.32–0.59) (p = 0.55) and for day 5 CRP 0.47 (0.34–0.61) (p = 0.67). b: Receiver operating characteristic (ROC) curves for cf-DNA and CRP for predicting 90-day mortality in patients with Staphylococcus aureus bacteraemia (SAB) without treatment in intensive care unit (ICU) during 7 days of documented bacteraemia (N = 319). The area under the curve (AUC) for day 3 cf-DNA was 0.64 (95% CI 0.55–0.74) (p<0.01) and cut-off value of 1.57 µg/ml with sensitivity of 62% and specificity of 61%. For day 5 cf-DNA, the AUC was 0.68 (0.59–0.77) (p<0.01) with cut-off value of 1.49 µg/ml with sensitivity of 65% and specificity of 61%. The corresponding AUC for day 3 CRP was 0.46 (0.36–0.57) (p = 0.48) and for day 5 CRP 0.51 (0.41–0.62) (p = 0.80).

https://doi.org/10.1371/journal.pone.0087741.g001

The patient population was stratified according to the day 3 cf-DNA cut-off values of 1.99 µg/ml (ICU patients) and 1.57 µg/ml (non-ICU patients), respectively (Table 3). Factors significantly associated to higher cf-DNA (>1.99 µg/ml) were septic shock (p<0.01), mechanical ventilation (p<0.000), reduced consciousness (p<0.01), complicated SAB (p<0.01) as well as high Pitt bacteraemia score (p<0.000). Moreover, a fatal outcome, irrespective of death time, was significantly associated to high cf-DNA values (p<0.000). However, once again, acute or chronic renal failure, dialysis, acute or chronic liver failure, malignancies or deep infection foci had no significant association with the higher cf-DNA (Table 3).

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Table 3. Underlying conditions, severity of illness and mortality in 418 patients with Staphylococcus aureus bacteraemia stratified according to the cf-DNA cut-off value at day 3 for ICU (1.99 µg/ml) and non-ICU (1.57 µg/ml) patients.

https://doi.org/10.1371/journal.pone.0087741.t003

For patients receiving ICU treatment within 7 days of documented SAB, the factors in univariate analysis associated to 90-day mortality in were age >60 years (OR 3.64, p<0.01), lack of fatal underlying diseases (OR 0.33, p<0.05), inotropic support (OR 3.19, p<0.05), mechanical ventilation (OR 2.67, p<0.05), Pitt bacteraemia scores (≥4 points) (OR 3.19, p<0.01) and cf-DNA >1.99 µg/ml at day 3 (OR 5.24, p<0.000). In multivariate analysis, only lack of fatal underlying diseases (OR 0.34, CI 95% 0.15–0.77, p<0.05), cf-DNA >1.99 µg/ml at day 3 (OR 3.56, CI 95% 1.69–7.59, p<0.001) and Pitt bacteraemia score ≥4 points (OR 4.47, 95% CI 1.94–10.3, p<0.000) were observed to be significantly associated to mortality (Table 4).

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Table 4. Prognostic factors for 90 days mortality in patients with Staphylococcus aureus bacteraemia stratified according to intensive care unit treatment within 7 days of documented bacteraemia.

https://doi.org/10.1371/journal.pone.0087741.t004

For non-ICU patients, all Table 4 listed univariate parameters were associated significantly to 90-day mortality whereas in multivariate analysis lack of fatal underlying diseases (OR 0.26, p<0.01), corticosteroid use (OR 2.89, p<0.01) and chronic lung disease (OR 2.45, p<0.05) significantly predicted 90-day outcome. Among non-ICU patients the cf-DNA cut-off value had no prognostic impact in multivariate analysis (Table 4). When the cut-off values for days 3 and 5 in ICU patients were analysed together in multivariate analysis only the day 3 cf-DNA cut-off value significantly predicted death (data not shown). Similar results were obtained when ICU treatment during the first 3 days only were analysed (data not shown).

Discussion

The main finding of the present study was that plasma cf-DNA concentrations were higher in SAB patients with high Pitt bacteraemia scores and ICU treatment as compared to non-ICU patients. In addition, cf-DNA levels both at days 3 and 5 were significantly higher in ICU patients with fatal outcome as compared to survivors irrespective of the death time i.e. if it occurred during the first week, 28 days or 90 days. The strongest predictors for a fatal outcome among ICU patients were cf-DNA at day 3 and Pitt bacteraemia scores ≥4 points. However, at day 5, cf-DNA concentration depended more on patient age and underlying diseases and when they were taken into account in multivariate analysis cf-DNA at day 5 was not a significant prognostic marker. To our knowledge, this is the first study where the prognostic value of cf-DNA of patients with same condition in ICU and outside it has been compared.

Higher cf-DNA values among critically ill non-survivors as compared to surviving patients have been reported earlier in many conditions [17], [18], [19], [20], [29], [30]. Five studies including 52 to 255 patients with fever of unknown origin, infection, sepsis, severe sepsis, septic shock or other ICU patients determined cf-DNA at admission, at 19 h and at 72 h after admission [17], [19], [20], [29], [30]. cf-DNA predicted the presence of infection among febrile patients with AUC of 0.99 with 95% sensitivity and 96% specificity and sepsis with AUC of 0.95 and 77% sensitivity and 94% specificity [20]. For prediction of fatal outcome, the sensitivity of cf-DNA has ranged from 60% to 92% and the specificity from 67% to 80% during 0 to 72 hours from ICU admission. [17], [19], [29]. AUC values in ROC analysis for fatal outcome in these studies has ranged from 0.70 to 0.88. Recently, cf-DNA determined at ICU admission predicted mortality among ICU patients with severe sepsis with high sensitivity of 87% and specificity of 93% and an AUC of 0.97 [30]. Clearly lower predictive cf-DNA values were observed in a larger study including 580 critically ill patients receiving mechanical ventilation with cf-DNA determination at ICU admission and at day 2 [22]. The predictive value for fatal outcome in our study had an AUC of 0.71, sensitivity of 67% and specificity of 77% which were lower than the higher end of previously reported values but comparable to those seen in studies with more variable patient cohorts [17], [19], [20], [21], [22], [29]. However, the clinical usefulness of cf-DNA determinations is still complicated by the use of two different cf-DNA measurement scales. When cf-DNA is measured straight from plasma the micro- or nanogram per millilitres (µg/ml or ng/ml) [17], [21] scale is used whereas when cf-DNA quantification is done with qPCR the results are commonly given as genome equivalents per millilitres (GE/ml) [19], [20], [22], [29].

The present study differed from the previous studies in several aspects which certainly has had an impact in lowering the specificity of the prognostic value of cf-DNA and thus may complicate the comparison of our results to many previous studies. Firstly, cf-DNA was measured in relation to documented bacteraemia and not in relation to ICU admission as in the previous studies [17], [19], [22], [29], [30]. Secondly, cf-DNA was measured also later i.e. at day 5 as compared to previous studies where the last measurement was made at 72 hours from ICU admission. Thirdly, we used Pitt bacteraemia scores and we did not determine Acute Physiology and Chronic Health Evaluation II (APACHE II) scores [13] or sequential organ failure assessment (SOFA) scores [14] which have been included in most studies evaluating the prognostic value of cf-DNA among ICU patients [17], [18], [19], [20], [21], [22], [29], [30]. However, Pitt bacteraemia scoring has been demonstrated to predict mortality among ICU sepsis patients more accurately as compared to APACHE II [12] and Pitt bacteraemia scores have previously been applied in patients with SAB [15], [16].

The present study demonstrated strong significant association between cf-DNA, Pitt bacteraemia scores and outcome among ICU patients. High Pitt bacteraemia scores correlated with high cf-DNA and with fatal outcome. The time point of cf-DNA measurements were not correlated to clinical deterioration i.e. ICU admission but to a fixed time point of the disease which is a novelty of this study but has certainly led to lower cf-DNA concentrations in patients who deteriorated later. Even without ICU risk scores it is evident that a part of most severely ill patients have been missed in the present study since we only had 4% of ICU patients classified as severe sepsis whereas in another previous study with highest specificity and sensitivity for the prognostic values of cf-DNA they had 100% of patients with severe sepsis and APACHE points over 20 [30]. The low 12% mortality within 28 days in our patient cohort was at the lower level as compared to previously published in SAB and also confirms that some severely ill patients have been missed [6], [7], [8]. However, in our patient cohort 24% of patients needed ICU treatment which corresponds well with the proportion described in other studies of 11-32% [9], [35], [36]. Out of ICU patients, 8% deceased within one week of bacteraemia. This mortality rate was far lower than those in earlier studies of 25–34% [17], [29] whereas another former Finnish study had low ICU mortality rate of 13% [19]. All these facts aim to lower the power of the present study and still cf-DNA was observed to be a significant prognostic marker specifically in SAB patients treated in ICU.

When all prognostic markers were accounted for, Pitt bacteraemia scores ≥4 points and day 3 cf-DNA cut-off value were the strongest factors predicting fatal outcome among the ICU patients with McCabes' healthy-nonfatal classification being the third parameter with significant prognostic impact. The same result was achieved when ICU treatment within the first 3 or 7 days were looked for. This is in line with data from the study where only patients with high (>20) APACHE scores were included [30]. Male gender and alcoholism have earlier been connected to higher baseline cf-DNA values [21] whereas some studies have found no connection between cf-DNA and age or gender [18], [29]. Among ICU patients, non-survivors had significantly higher cf-DNA at day 3 whereas non-significant difference was seen at day 5. This finding suggests that early apoptosis in SAB in ICU treated patients might be one of the factors leading to fatal outcome.

We included only bacteraemia due to S. aureus which reduces the number of possible variables. Due to low prevalence of MRSA in Finland all patients received effective antimicrobial therapy and it was instituted to all patients on the day when the positive blood culture was drawn. This also reduced one factor difficult to control when evaluating the usefulness of a new biomarker. Delayed effective antimicrobial therapy has been reported to be one of the main risk factors for poor prognosis [37]. MRSA is associated with poor prognosis and delay in effective antibiotic therapy [6], [38], [39]. Vancomycin treatment is reported to result in higher risk for recurrence and persistence of SAB when compared to treatment with the staphylococcal penicillin cloxacillin [40]. The well controlled prognostic factors made it possible to observe variables that affect cf-DNA levels.

We observed that patients in ICU had clearly higher cf-DNA levels as compared to non-ICU patients which could be expected as cf-DNA values have generally been reported to correlate well with the SOFA and APACHE scores in critically ill patients [17], [18], [19], [20], [30]. Also in the present study, a strong correlation between high cf-DNA levels and high Pitt bacteraemia scores was seen. In a previous study with only bacteraemic patients with various pathogens (S. aureus, Streptococcus pneumoniae, β-hemolytic streptococcae or Escherichia coli) higher cf-DNA values in ICU treated patients was reported but the cut-off values were not studied separately [21]. In the present study the difference in cf-DNA cut-off value between ICU and non-ICU was more evident at day 3 as compared to day 5. Furthermore, in non-ICU patients, cf-DNA was not an independent predicting factor for mortality suggesting that cf-DNA might have its best clinical use in predicting outcome early among ICU patients.

In the present study, acute or chronic renal or liver failure or elevated alanine-aminotransferase liver values were not associated to higher cf-DNA concentrations. Experimental animal studies indicate that liver and kidneys are responsible for cf-DNA clearance although the exact clearance process is unknown [41]. One study reported higher cf-DNA levels among critically ill patients with acute renal failure requiring renal support [17] whereas in another study no difference in DNA concentrations between healthy controls and predialysis patients was observed [42]. The exact clearance mechanism for cf-DNA requires further investigations and currently the impact of acute or chronic liver or renal failure on cf-DNA levels remains to be established.

Along with the cell-free DNA as a biomarker, procalcitonin and interleukin-10 have been investigated as promising biomarkers for patients with bacteraemia or sepsis. Recently, procalcitonin was presented as a predictor for endocarditis in SAB [43] and proposed to be a superior predictor for sepsis [20], [44]. To the best of our knowledge, no reports have investigated the prognostic value of procalcitonin solely in SAB patients. Interleukin-10 was recently demonstrated to be an independent mortality predictor in SAB patients with survivors having normal interleukin-10 levels [45] but interleukin-10 has been demonstrated to be a weaker predictor of ICU mortality among sepsis patients as compared to cf-DNA [30]. Further investigations are required to determine the relationship between cf-DNA, procalcitonin and interleukin-10 as biomarkers for bacteraemia and sepsis patients.

In conclusion, this study is the first one to demonstrate that cf-DNA levels significantly correlated with higher Pitt bacteraemia scores and ICU treatment among SAB patients as compared to non-ICU SAB patients. Among ICU patients, when all prognostic markers were accounted for, high Pitt bacteraemia scores and day 3 cf-DNA cut-off value were the strongest factors significantly predicting death. cf-DNA had no prognostic value among non-ICU SAB patients.

Key messages

  • Plasma cell-free DNA correlated with high Pitt bacteraemia score and was higher in SAB patients treated in ICU as compared to non-ICU patients.
  • Plasma cell-free DNA at day 3 and 5 were significantly higher in ICU patients with fatal outcome irrespective of death time.
  • High Pitt bacteraemia scores (≥4 points) and day 3 plasma cell-free DNA were the only factors that significantly predicted outcome in SAB patients with ICU treatment.

Author Contributions

Conceived and designed the experiments: EF JA ER RH MH AJ. Performed the experiments: VH JJ. Analyzed the data: EF AJ. Contributed reagents/materials/analysis tools: JA VH JJ MH. Wrote the paper: EF ER AJ.

References

  1. 1. Wisplinghoff H, Seifert H, Coimbra M, Wenzel RP, Edmond MB (2001) Systemic inflammatory response syndrome in adult patients with nosocomial bloodstream infection due to Staphylococcus aureus. Clin Infect Dis 33: 733–36.
  2. 2. McBean M, Rajamani S (2001) Increasing rates of hospitalization due to septicemia in the US elderly population, 1986–1997. J Infect Dis 183: 596–603.
  3. 3. Devlin RK, Andrews MM, von Reyn CF (2004) Recent trends in infective endocarditis: influence of case definitions. Curr Opin Cardiol 19: 134–39.
  4. 4. Diekema DJ, Pfaller MA, Schmitz FJ, Smayevsky J, Bell J, et al. (2001) SENTRY Partcipants Group: Survey of infections due to Staphylococcus species: frequency of occurrence and antimicrobial susceptibility of isolates collected in the United States, Canada, Latin America, Europe, and the Western Pacifi c region for the SENTRY Antimicrobial Surveillance Program, 1997–1999. Clin Infect Dis 32 Suppl 2S114–132.
  5. 5. Cohen J, Cristofaro P, Carlet J, Opal S (2004) New method of classifying infections in critically ill patients. Review. Crit Care Med 32: 1510–26.
  6. 6. Conterno LO, Wey SB, Castelo A (1998) Risk factors for mortality in Staphylococcus aureus bacteremia. Infect Control Hosp Epidemiol 19: 32–7.
  7. 7. Fowler VG Jr, Sanders LL, Sexton DJ, Kong L, Marr KA, et al. (1998) Outcome of Staphylococcus aureus bacteremia according to compliance with recommendations of infectious diseases specialists: experience with 244 patients. Clin Infect Dis 27: 478–86.
  8. 8. Fowler VG Jr, Sanders LL, Kong LK, McClelland RS, Gottlieb GS, et al. (1999) Infective endocarditis due to Staphylococcus aureus: 59 prospectively identified cases with follow-up. Clin Infect Dis 28: 106–14.
  9. 9. Kaech C, Elzi L, Sendi P, Frei R, Laifer G, et al. (2006) Course and outcome of Staphylococcus aureus bacteraemia: a retrospective analysis of 308 episodes in a Swiss tertiary-care centre. Clin Microbiol Infect 12: 345–352.
  10. 10. Rieg S, Peyerl-Hoffmann G, de With K, Theilacker C, Wagner D, et al. (2009) Mortality of S. aureus bacteremia and infectious diseases specialist consultation—a study of 521 patients in Germany. J Infect 59: 232–9.
  11. 11. Marshall JC, Reinhart K (2009) Biomarkers of sepsis. Crit Care Med 37: 2290–98.
  12. 12. Rhee JY, Kwon KT, Ki HK, Shin SY, Jung DS, et al. (2009) Scoring systems for prediction of mortality in patients with intensive care unit-acquired sepsis: a comparison of the Pitt bacteremia score and the Acute Physiology and Chronic Health Evaluation II scoring systems. Shock 31: 146–50.
  13. 13. Knaus WA, Draper EA, Wagner DP, Zimmerman JE (1985) APACHE II: A severity of disease classification system. Crit Care Med 13: 818–829.
  14. 14. Vincent JL, Moreno R, Takala J, Willatts S, De Mendonça A, et al. (1996) The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med 22: 707–10.
  15. 15. Hill PC, Birch M, Chambers S, Drinkovic D, Ellis-Pegler RB, et al. (2001) Prospective study of 424 cases of Staphylococcus aureus bacteraemia: determination of factors affecting incidence and mortality. Int Med J 31: 97–103.
  16. 16. Chang FY, Peacock JE Jr, Musher DM, Triplett P, MacDonald BB, et al. (2003) Staphylo-coccus aureus bacteremia: recurrence and the impact of antibiotic treatment in a prospec-tive multicenter study. Medicine 82: 333–9.
  17. 17. Rhodes A, Wort SJ, Thomas H, Collinson P, Bennett ED (2006) Plasma DNA concentration as a predictor of mortality and sepsis in critically ill patients. Crit Care 10: R60.
  18. 18. Saukkonen K, Lakkisto P, Varpula M, Varpula T, Voipio-Pulkki LM, et al. (2007) Association of cell-free plasma DNA with hospital mortality and organ dysfunction in intensive care unit patients. Intensive Care Med 33: 1624–7.
  19. 19. Saukkonen K, Lakkisto P, Pettilä V, Varpula M, Karlsson S, et al. (2008) Finnsepsis Study Group: Cell-free plasma DNA as a predictor of outcome in severe sepsis and septic shock. Clin Chem 54: 1000–7.
  20. 20. Moreira VG, Prieto B, Rodríguez JS, Alvarez FV (2010) Usefulness of cell-free plasma DNA, procalcitonin and C-reactive protein as markers of infection in febrile patients. Ann Clin Biochem 47: 253–8.
  21. 21. Huttunen R, Kuparinen T, Jylhävä J, Aittoniemi J, Vuento R, et al. (2011) Fatal outcome in bacteremia is characterized by high plasma cell free DNA concentration and apoptotic DNA fragmentation: a prospective cohort study. PLoS One 6: e21700.
  22. 22. Okkonen M, Lakkisto P, Korhonen AM, Parviainen I, Reinikainen M, et al. (2011) FINNALI Study Group: Plasma cell-free DNA in patients needing mechanical ventilation. Crit Care 15 (4): R196.
  23. 23. Jahr S, Hentze H, Englisch S, Hardt D, Fackelmayer FO, et al. (2001) DNA fragments in the blood plasma of cancer patients: quantitations and evidence for their origin from apoptotic and necrotic cells. Cancer Res 61: 1659–65.
  24. 24. Wu TL, Zhang D, Chia JH, Tsao K, Sun CF, et al. (2002) Cell-free DNA: measurement in various carcinomas and establishment of normal reference range. Clin Chim Acta 321: 77–87.
  25. 25. Zeerleder S, Zwart B, Wuillemin WA, Aarden LA, Groeneveld AB, et al. (2003) Elevated nucleosome levels in systemic inflammation and sepsis. Crit Care Med 31: 1947–51.
  26. 26. Hotchkiss RS, Nicholson DW (2006) Apoptosis and caspases regulate death and inflammation in sepsis. Nat Rev Immunol 6: 813–22.
  27. 27. Hehlgans T, Pfeffer K (2005) The intriguing biology of the tumour necrosis factor/tumour necrosis factor receptor superfamily: players, rules and the games. Immunology 115: 1–20.
  28. 28. Martins GA, Kawamura MT, Carvalho Mda G (2000) Detection of DNA in the plasma of septic patients. Ann NY Acad Sci 906: 134–40.
  29. 29. Wijeratne S, Butt A, Burns S, Sherwood K, Boyd O, et al. (2004) Cell-free plasma DNA as a prognostic marker in intensive treatment unit patients. Ann N Y Acad Sci 1022: 232–8.
  30. 30. Dwivedi DJ, Toltl LJ, Swystun LL, Pogue J, Liaw KL, et al. (2012) Prognostic utility and characterization of cell-free DNA in patients with severe sepsis; the Canadian Critical Care Translational Biology Group. Crit Care 13 16: R151.
  31. 31. Ruotsalainen E, Järvinen A, Koivula I, Kauma H, Rintala E, et al. (2006) Finlevo Study Group: Levofloxacin does not decrease mortality in Staphylococcus aureus bacteraemia when added to the standard treatment: a prospective and randomized clinical trial of 381 patients. J Intern Med 259: 179–90.
  32. 32. Paterson DL, Ko WC, Von Gottberg A, Mohapatra S, Casellas JM, et al. (2004) In-ternational prospective study of Klebsiella pneumoniae bacteremia: Implications of ex-tended spectrum beta-lactamase production in nosocomial infections. Ann Intern Med 6: 26–32.
  33. 33. McCabe WR, Jackson GG (1962) Gram-negative bacteremia. I. Etiology and ecology. Arch Intern Med 110: 847–53.
  34. 34. Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, et al. (2003) SCCM/ESICM/ACCP/ATS/SIS: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 31: 1250–6.
  35. 35. Price J, Baker G, Heath I, Walker-Bone K, Cubbon M, et al. (2010) Clincal and Microbiological Determinants of Outcome in Staphylococcus aureus Bacteraemia. Int J Microbiol. 2010: 654858.
  36. 36. Honda H, Krauss MJ, Jones JC, Olsen MA, Warren DK (2010) The value of infectious diseases consultation in Staphylococcus aureus bacteremia. Am J Med 123: 631–7.
  37. 37. Lodise TP, McKinnon PS, Swiderski L, Rybak MJ (2003) Outcomes analysis of delayed antibiotic treatment for hospital-acquired Staphylococcus aureus bacteremia. Clin Infect Dis 36: 1418–23.
  38. 38. Cosgrove SE, Sakoulas G, Perencevich EN, Schwaber MJ, Karchmer AW, et al. (2003) Comparison of mortality associated with methicillin-resistant and methicillin-susceptible Staphylococcus aureus bacteremia: A meta-analysis. Clin Infect Dis 36: 53–59.
  39. 39. Pfaller MA, Jones RN, Doern GV, Sader HS, Kugler KC, et al. (1999) Survey of blood stream infections attributable to gram-positive cocci: frequency of occurrence and antimicrobial susceptibility of isolates collected in 1997 in the United States, Canada, and Latin America from the SENTRY Antimicrobial 19 Surveillance Program. SENTRY Participants Group. Diagn Microbiol Infect Dis 33: 283–97.
  40. 40. Siegman-Igra Y, Reich P, Orni-Wasserlauf R, Schwartz D, Giladi M (2005) The role of vancomycin in the persistence or recurrence of Staphylococcus aureus bacteraemia. Scand J Infect Dis 37: 572–8.
  41. 41. Tsumita T, Iwanagam M (1963) Fate of injected deoxyribosnucleic acid in mice. Nature 198: 1088–89.
  42. 42. Moreira VG, de la Cera Martinez T, Gonzales EG, Garcia BP, Alvarez Menendez FV (2006) Increase in and clearance of cell-free plasma DNA in hemodialysis quantified by real-time PCR. Clin Chem Lab Med 44: 1410–5.
  43. 43. Cuculi F, Toggweiler S, Auer M, der Maur Cha, Zuber M, et al. (2008) Serum procalci-tonin has the potential to identify Staphylococcus aureus endocarditis. Eur J Clin Micro-biol Infect Dis 27: 1145–9.
  44. 44. Castelli GP, Pognani C, Meisner M, Stuani A, Bellomi D, et al. (2004) Procalcitonin and C-reactive protein during systemic inflammatory response syndrome, sepsis and organ dysfunction. Crit Care 8: 234–42.
  45. 45. Rose WE, Eickhoff JC, Shukla SK, Pantrangi M, Rooijakkers S, et al. (2012) Elevated serum interleukin-10 at time of hospital admission is predictive of mortality in patients with Staphylococcus aureus bacteremia. J Infect Dis 15: 1604–11.