The understanding of neonatal sepsis as a disease with a critical public health impact is based on the identification of factors that magnify the problem by favoring long hospital stays and increasing the use of diagnostic and treatment resources (
10). The high degree of variation in clinical judgement adds to the difficulty of sepsis microbial identification and is a key reason behind overdiagnosis and the indiscriminate use of antimicrobials (
11). As the golden standard validation technique, BC has poor sensitivity, favors confusion and contributes to the lack of diagnostic specificity that is characteristic of the systemic inflammatory response syndrome (SIRS) in NBs. The disadvantages of relying on BC to diagnose sepsis are exemplified by the adoption of terminology to justify antibiotic treatment, such as the concept of “sepsis without an isolated germ” applied to a child who fulfills the criteria for SIRS but lacks an isolated microorganism. The main consequence of this variability is the abuse of antibiotics in an effort to prevent mortality due to sepsis (
12).
LC-SF is a multiplex real-time PCR assay based on specific probes that detect and identify DNA sequences from 25 microorganisms (primarily Gram-positive bacteria, Gram-negative bacteria and yeasts) that represent 90% of the species isolated from septic patients. Detection of virus or Mycobacterias is not possible with LC-SF; and the microbial sensitivity to antibiotics and antibiogram is not available. This technique has led to improved rates of detection of the causative bacteria for diseases such as infectious endocarditis, sepsis in neutropenic patients with hematological malignancies, bacteremias and fungemias in specific groups (
13-
16).
There have been relatively few reports of LC-SF used to diagnose NBs. The reported sensitivity levels of 79-90.5%, specificity of 87%, negative predictive value of 83% and positive predictive value of 83% compared with blood culture (
17-
19) are higher than the values from the present study. A meta-analysis by Chang et al. concluded that the SeptiFast assay had a sensitivity of 75% and a specificity of 92% for detecting bacteremia or fungemia (
20). Nonetheless, the identification capacity of SeptiFast was greater than that of blood culture both in the overall data analysis and in the analyses of individual microorganisms, especially yeasts and
Pseudomonas.
The early detection of microorganisms using a technique based on the identification of nucleic acids will promote the prompt and appropriate use of antimicrobials, which decreases mortality. The prompt detection of the causative agent is crucial for the proper treatment of an infection.
Some limitations of the present study should be noted. First, we did not examine the possibility of contamination during the identification process, a factor that impacts the efficacy of most assays according to previous studies (
21), because the conditions for inclusion in our study ensured that none of the isolates were considered contaminated. Coagulase-negative
Staphylococci were considered possible agents of sepsis in these children because these bacteria are frequently isolated in Mexican population (
22). Additional support for the absence of contamination in the present work is found in another study that evaluated LC-SF and reported no cases of contamination; those researchers applied the standardised criteria for SIRS developed by a consensus of the American College of Chest Physicians/Society of Critical Care Medicine (ACCP/SCCM), which ensures compliance with practices that minimise contamination (
17). Previously an algorithm for interpretation of BC and LC-SF results was reported by Lucignano B et al. there were criteries to consider a pathogen and a contaminant; these criteries were the same as in our research (
23). Second, some authors, such as Lodes (
17) have reported that the SeptiFast test detects polymicrobial infection at rates as high as 11.4%, a higher (4.6%) rate than that was found in our study. This discrepancy might be explained by the Lodes study’s examination of surgical patients from an intensive care unit, where the polymicrobial infection rate is high.
Unlike other studies, our findings influenced the treatments administered to our subjects, which substantiates our results. As a prime example, the identification of positive fungal LC-SF results led to specific patient treatments, which resulted in clinical improvement. Therefore, analyzing the follow-up care of our subjects enabled a more complete evaluation of the usefulness of the LC-SF test in terms of the length of hospitalisation, use of antimicrobials and duration of recovery.
Microbial identification in neonates is a relatively understudied topic that has generated some controversy because of possible incorrect decision making due to false positives. Therefore, the present work provides valuable support for the use of multiplex PCR as an identification method that can be performed together with BC, has the advantage of a 6 hour response time and allows the use of more targeted antimicrobial therapy. Similar to scenarios involving patients with negative blood culture results, when patients have negative LC-SF results but solid clinical data and a high suspicion of SIRS, the clinical criteria will continue to be the mainstay for diagnosis and treatment. The initiation of antimicrobial treatment based on suspicion will most likely not decrease. We predict that the only difference associated with LC-SF-based diagnosis will be a higher percentage of positive test results (compared with BC) and a more rapid response time leading to decision-making based on more solid evidence, which is the ultimate objective of auxiliary discriminatory tools. It is highly unlikely that SeptiFast (or another biomarker) will replace clinical criteria for diagnosis.