Usefulness of a molecular strategy for the detection of bacterial DNA in patients with severe sepsis undergoing continuous renal replacement therapy
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Ranistha Ratanarat1, Stefania Cazzavillan, Zaccaria Ricci
1Department of Nephrology, Dialysis and Transplantation, St Bortolo Hospital, Viale Rodolfi 31, IT-36100 Vicenza, Italy.
Introduction:
Sepsis is a major cause of morbidity and mortality in critically ill patients. Sepsis is associated with cell necrosis and apoptosis. Circulating plasma levels of DNA have been found in conditions associated with cell death, including sepsis, pregnancy, stroke, myocardial infarction and trauma. Plasma DNA can also derive from bacteria. We have recently implemented a method to detect bacterial DNA and, in the present study, we validated this technique comparing it to standard blood culture in terms of diagnostic efficacy.
Methods:
We examined a cohort of 9 critically ill patients with a diagnosis of severe sepsis and acute renal failure requiring continuous renal replacement therapy (CRRT). We analyzed bacterial DNA in blood, hemofilters, and ultrafiltrate (UF) by polymerase chain reaction amplification of 16S rRNA gene sequence analysis. Standard blood cultures were performed for all patients.
Results:
The blood cultures from 2 of the 9 (22%) patients were positive. However, bacterial DNA was identified in the blood of 6 patients (67%), including the 2 septic patients with positive blood cultures. In 9 (100%) patients bacterial DNA was found on the filter blood side, whereas in 7 (78%) subjects it was found in the dialysate compartment of the hemofilters. Bacterial DNA was never detected in the UF.
Conclusions:
Using the 16S rRNA gene, the detection of bacterial DNA in blood and adsorbed within the filter could be a useful screening tool in clinically septic, blood culture-negative patients undergoing CRRT. However, the identification of the etiologic agent is not feasible with this technique because specific primers for the defined bacteria must be used to further identify the suspected pathogenic organisms.
Insights
Detecting bacterial DNA in blood and hemofilters shows promise for diagnosing sepsis in critically ill patients. This method is more sensitive than standard blood cultures, especially for blood culture-negative cases undergoing continuous renal replacement therapy.
Area of Science:
- Microbiology
- Critical Care Medicine
- Molecular Diagnostics
Background:
- Sepsis is a leading cause of death in critically ill patients, often involving cell death and the release of circulating DNA.
- Plasma DNA can originate from host cells or bacteria, making its detection relevant in sepsis diagnosis.
- Existing diagnostic methods like blood culture have limitations in sensitivity and speed.
Purpose of the Study:
- To validate a method for detecting bacterial DNA in critically ill patients with severe sepsis.
- To compare the diagnostic efficacy of bacterial DNA detection with standard blood cultures.
- To assess bacterial DNA presence in blood, hemofilters, and ultrafiltrate during continuous renal replacement therapy (CRRT).
Main Methods:
- Analysis of bacterial DNA in blood, hemofilters, and ultrafiltrate using polymerase chain reaction (PCR) amplification of the 16S rRNA gene.
- Inclusion of 9 critically ill patients diagnosed with severe sepsis and acute renal failure requiring CRRT.
- Comparison with standard blood culture results for all participating patients.
Main Results:
- Bacterial DNA was detected in the blood of 67% of patients, significantly higher than the 22% positive blood culture rate.
- Bacterial DNA was identified in 100% of hemofilters (blood side) and 78% in the dialysate compartment.
- No bacterial DNA was detected in the ultrafiltrate, suggesting adsorption to the filter material.
Conclusions:
- Detection of bacterial DNA via 16S rRNA gene sequencing is a valuable screening tool for sepsis, particularly in blood culture-negative patients on CRRT.
- The technique shows higher sensitivity than blood cultures for identifying bacterial presence in septic patients.
- While useful for screening, this method does not identify specific pathogenic organisms, requiring further targeted identification.
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