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Annals of Saudi Medicine logoLink to Annals of Saudi Medicine
. 2018 May 31;38(3):194–199. doi: 10.5144/0256-4947.2018.194

Time-to-detection of bacteria and yeast with the BACTEC FX versus BacT/Alert Virtuo blood culture systems

Ali Mohammed Somily a, Hanan Ahmed Habib Babay a, Armen Albert Torchyan b, Samina B Sayyed a, Muhammed Absar a, Rima Al-Aqeel a, Khalifa Binkhamis a,
PMCID: PMC6074305  PMID: 29848937

Abstract

BACKGROUND

Bloodstream infections are associated with high rates of morbidity and mortality. Rapid detection of bloodstream infections is important in achieving better patient outcomes.

OBJECTIVE

Compare the time-to-detection (TTD) of the new BacT/Alert Virtuo and the BACTEC FX automated blood culture systems.

DESIGN

Prospective simulated comparison of two instruments using seeded samples.

SETTING

Medical microbiology laboratory.

METHODS

Blood culture bottles were seeded in triplicate with each of the standard ATCC strains of aerobes, anaerobes and yeast. TTD was calculated as the length of time from the beginning of culture incubation to the detection of bacterial growth.

MAIN OUTCOME MEASURES

TTD for the various tested organisms on the two microbial detection systems.

RESULTS

The 99 bottles of seeded blood cultures incubated in each of the blood culture systems included 21 anaerobic, 39 aerobic and 39 pediatric bottles. The BacT/Alert Virtuo system exhibited significantly shorter TTD for 72.7 % of the tested organisms compared to BACTEC FX system with a median difference in mean TTD of 2.1 hours (interquartile range: 1.5–3.5 hours). The BACTEC FX system was faster in 15.2% (5/33) of microorganisms, with a median difference in mean TTD of 25.9 hours (IQR: 9.1–29.2 hours).

CONCLUSION

TTD was significantly shorter for most of the microorganisms tested on the new BacT/Alert Virtuo system compared to the BACTEC FX system.

LIMITATIONS

Use of simulated cultures to assess TTD may not precisely represent clinical blood cultures.


Bloodstream infections (BSIs) represent a major public health concern as they are associated with high rates of mortality and morbidity.1 BSIs can cause serious immediate consequences such as shock, multiple organ failure, disseminated intravascular coagulation (DIC), and death. Blood culture is the gold standard method for the detection of BSIs.2,3 There are several available automated blood culture systems which help in the rapid detection of BSIs. These fully automated blood culture systems electronically monitor blood culture bottles every 8–10 minutes and detect changes associated with microbial growth based on internal algorithms.2 Rapid detection of BSIs is important in achieving better patient outcomes.4 Time-to-detection (TTD) is calculated as the length of time from the beginning of culture incubation to the detection of bacterial growth by an automated system.4 The objective of this study was to compare the TTD (in hours) for the BACTEC FX (Becton Dickinson, Heidelberg, Germany) and the BacT/ALERT Virtuo (VIRTUO, bioMerieux France) systems.

METHODS

This study was conducted in the medical microbiology laboratory of King Khalid University Hospital affiliated to King Saud University Medical City, Riyadh, Saudi Arabia between January 2016 and March 2017. Seeded blood cultures were used for the evaluation of two microbial detection systems: BACTEC FX ((Becton Dickinson, Heidelberg, Germany, the system in use at the time) and the BacT/Alert Virtuo (VIRTUO TM, bioMerieux France, the new system). The blood culture bottles of both systems (BD Bactec Plus aerobic/F, BD Bactec Lytic/10 anaerobic/F and BD Bactec Peds Plus/F, and BacT/Alert FA Plus, BacT/Alert FN Plus and BacT/Alert PF Plus) were seeded in triplicate with each of the standard ATCC or American Type Culture Collection strains of aerobes, anaerobes and yeast.5

Aerobic, anaerobic and pediatric blood culture bottles of both systems were simultaneously inoculated. Each bacterial or yeast ATCC strain was suspended in brain heart infusion broth and incubated for 24 hours. After incubation, 0.1 mL of broth culture was then inoculated on appropriate medium, for instance; tryptic soy agar broth (TSAB) was used for aerobic bacteria, chocolate agar was used for fastidious bacteria, Columbia blood agar was used for anaerobic bacteria and Sabouraud dextrose agar was used for yeast, followed by 24 hours incubation. All bacterial and yeast cultures were examined for pure growth; 0.5 McFarland was then created by inoculating 3–5 bacterial or yeast colonies into sterile saline, corresponding to 108 CFU/mL and 106 CFU/mL, respectively. To simulate blood culture specimens, 5 mL of sterile fresh human blood was added to aerobic and anaerobic blood culture bottles, and 3 mL was added to pediatric bottles. A negative control bottle was inoculated with 5 mL of sterile human blood only.5

The following ATCC strains were used in this study: anaerobes: Bacteroides fragilis ATCC 25285, Bacteroides vulgatus ATCC 8482, Clostridium perfringens ATCC 13124, Peptoniphilus asaccharolyticus ATCC 14963; gram negative: Escherichia coli ATCC 25922, Haemophilus influenzae ATCC 10211, Neisseria meningitidis ATCC 13090, Pseudomonas aeruginosa ATCC 27853, Stenotrophomonas maltophilia ATCC 13637; gram positives: Enterococcus faecalis ATCC 29212, Micrococcus luteus ATCC 4698, Staphylococcus aureus ATCC 25923, Staphylococcus epidermidis ATCC 12228, Streptococcus agalactiae ATCC 13813, Streptococcus pneumoniae ATCC 6305, Streptococcus pyogenes ATCC 19615 and yeast: Candida albicans ATCC 14053.

The dilution scheme used for aerobic and anaerobic bacteria to achieve a final concentration of 250 CFU/mL was as follows: 0.5 McFarland was adjusted for each bacterial strain to be tested. Three tubes were labeled as 1, 2 and 3. The first 2 tubes had 9.9 mL of sterile saline added and tube 3 had 9.75 mL of sterile saline added. Aseptically, 0.1 mL of bacterial suspension was transferred to tube 1, corresponding to 106 CFU/mL. After thorough mixing, 0.1 mL of the suspension was transferred to tube 2 from tube 1, resulting in 104 CFU/mL. Finally, 0.25 mL suspension was transferred from tube 2 to tube 3, corresponding to 250 CFU/mL. To verify CFU, 0.1 mL of suspension from the final dilution tube (250 CFU/mL ) was inoculated on appropriate medium and a count of 30–300 CFU was considered satisfactory. From tube 3, 0.5 mL of the suspension of the respective ATCC strain was inoculated in triplicate to respective blood culture bottles corresponding to 125 CFU/bottle, and were incubated for a maximum of five days in respective microbial detection system.

The dilution scheme used for yeast to achieve a final concentration of 250 CFU/mL was as follows: 0.5 McFarland was adjusted for the Candida ATCC strain. Two tubes were labeled as 1 and 2. The first tube had 9.9 mL of sterile saline added, and 9.75 mL of sterile saline was added to tube 2. Aseptically, 0.1 mL of yeast suspension was transferred to tube 1, corresponding to 104 CFU/mL . After thorough mixing, 0.1 mL of the suspension was transferred to tube 2 from tube 1, resulting in 250 CFU/mL. To verify CFU, 0.1 mL of suspension from the final dilution tube (250 CFU/mL ) was inoculated on appropriate medium and a count of 30–300 CFU was considered satisfactory. From tube 2, 0.5 mL of the yeast ATCC strain was then inoculated in triplicate in respective blood culture bottles resulting in 125 CFU/bottle and were incubated for a maximum of five days in respective microbial detection system.

We used IBM SPSS Statistics for Windows, Version 21.0 (IBM Corp., Armonk, NY, USA) to analyze the data. To test the differences in the recovery rates from the two systems we used Pearson’s chi-squared test or Fisher’s exact test. To compare the performance of the two machines we calculated the differences in mean TTDs between BACTEC FX and BacT/Alert machines for each microorganism. Since those differences were not normally distributed, we reported the median values of mean differences in TTDs with their interquartile ranges. Values of P<.05 were considered to be statistically significant. Values of P<.07 were considered to be marginally significant.

RESULTS

A total of 99 seeded blood culture bottles were incubated in each of the blood culture systems; including 21 anaerobic, 39 aerobic and 39 pediatric blood culture bottles, to evaluate the time difference in detecting a variety of microorganisms. Table 1 shows the time to detection of the cultured microorganisms using each microbial detection system. The results of three isolates were removed during the analysis, because one of the anaerobic bottles inoculated with B fragilis did not show any growth in the BacT/Alert Virtuo system, and two bottles with H influenzae and B vulgatus showed unusually long detection times. In particular, it took almost 4 times longer (71.8 hours vs. 18.8 hours) for one of three H influenzae isolates inoculated in pediatric bottles to grow in the BACTEX FX system and 3.4 times longer (36.9 hours vs. 10.7 hours) for one of three B vulgatus isolates incubated in the BacT/Alert Virtuo system using an anaerobic bottle to become positive. The difference in the recovery rates from the two systems was not statistically significant.

Table 1.

Time to detection (in hours) of blood culture positivity for BACTEC FX and BacT/Alert systems

Medium and Microorganisms BACTEC FX BacT/Alert χ2 P value
No. of Isolates Mean TTD (hours) 95% CI No. of Isolates Mean TTD (hours) 95% CI

Anaerobic bottles
Bacteroides fragilis 3 18.3 17.6–18.7 2 49.2 49.2–49.2 3.446 .063
Bacteroides vulgatus 3 18.7 18.5–18.9 2 10.7 10.3–11.0 4.263 .039
Clostridium perfringens 3 9.5 8.7–10.3 3 9.7 9.5–9.9 0.000 .988
Peptoniphilus asaccharolyticus 3 9.2 9.1–9.3 3 9.6 9.5–9.7 4.738 .030
Escherichia coli 3 9.4 9.1–9.6 3 7.8 7.6–8.0 4.738 .030
Staphylococcus aureus 3 12.8 12.7–12.9 3 9.4 9.2–9.6 5.052 .025
Streptococcus pneumoniae 3 16.2 15.8–16.6 3 12.6 12.3–12.9 5.052 .025
Aerobic bottles
Escherichia coli 3 10.3 10.1–10.4 3 8.7 8.6–8.8 5.052 .025
Haemophilus influenzae 3 15.6 14.6–16.5 3 41.5 39.0–44.0 5.052 .025
Neisseria meningitidis 3 15.9 15.5–16.4 3 33.8 17.6–50.0 5.052 .025
Pseudomonas aeruginosa 3 14.2 14.2–14.2 3 12.2 12.1–12.4 5.052 .025
Stenotrophomonas maltophilia 3 35.2 34.0–36.3 3 33.9 33.4–34.5 1.667 .197
Enterococcus faecalis 3 10.7 10.3–11.1 3 9.3 8.9–9.6 5.052 .025
Micrococcus luteus 3 17.6 17.5–17.8 3 15.7 15.4–16.0 5.052 .025
Staphylococcus aureus 3 14.5 14.2–14.8 3 11.3 11.2–11.3 5.052 .025
Staphylococcus epidermidis 3 17.6 17.2–18.0 3 15.5 15.0–15.8 5.052 .025
Streptococcus agalactiae 3 8.8 8.4–9.2 3 7.9 7.7–8.0 5.052 .025
Streptococcus pneumoniae 3 14.3 13.8–14.8 3 13.1 12.7–13.5 5.052 .025
Streptococcus pyogenes 3 10.9 10.8–11.0 3 9.4 8.8–10.0 5.052 .025
Candida albicans 3 35.9 33.1–38.6 3 22.1 20.7–23.6 5.052 .025
Pediatric bottles
Escherichia coli 3 11.0 11.0–11.1 3 8.9 8.8–9.0 5.052 .025
Haemophilus influenzae 2 18.8 18.7–18.8 3 13.7 13.4–13.9 3.446 .063
Neisseria meningitidis 3 18.1 17.4–18.7 3 14.2 13.7–14.7 5.052 .025
Pseudomonas aeruginosa 3 14.2 14.0–14.3 3 12.1 12.0–12.3 5.052 .025
Stenotrophomonas maltophilia 3 44.6 42.3–46.9 3 72.1 72.0–72.1 4.738 .030
Enterococcus faecalis 3 10.1 10.1–10.1 3 9.7 9.3–10.2 0.181 .671
Micrococcus luteus 3 16.9 16.3–17.4 3 13.8 13.2–14.5 5.052 .025
Staphylococcus aureus 3 13.5 13.0–14.0 3 11.2 10.6–11.8 5.052 .025
Staphylococcus epidermidis 3 17.0 16.5–17.4 3 14.1 13.6–14.6 5.052 .025
Streptococcus agalactiae 3 8.9 8.7–9.1 3 7.7 7.7–7.8 4.738 .030
Streptococcus pneumoniae 3 12.6 7.8–17.3 3 13.1 12.8–13.4 1.182 .277
Streptococcus pyogenes 3 10.9 10.6–11.2 3 9.7 9.2–10.1 5.052 .025
Candida albicans 3 33.9 27.6–40.3 3 25.6 23.4–34.5 5.052 .025

TTD, time to detection. Shaded areas represent faster growth; bold and in green grid box values denote P<.05; italic values denote P<.07.

The mean TTD was statistically significant (P<.05) or marginally significantly (P<.07) shorter for 72.7% (24/33) of microorganisms incubated in the BacT/Alert Virtuo system compared to the BACTEC FX system, with a median difference in mean TTD of 2.1 hours (interquartile range [IQR]=1.5–3.5 hours), ranging from 0.9 hours to 13.8 hours. The BACTEC FX system was faster in 15.2% (5/33) of microorganisms, with a median difference in mean TTD of 25.9 hours (IQR=9.1–29.2 hours; min.=0.4 hours, max.=30.9 hours). There was no statistically significant difference in mean TTD for the remaining 4 microorganisms between the two systems. For those 24 microorganisms, where the BacT/Alert Virtuo system performed faster compared to the BACTEC FX system, there was no statistically significant difference (P=.163) in mean TTD between anaerobic, aerobic and pediatric bottles.

DISCUSSION

In this study, the TTD was significantly shorter in 72.7% using the BacT/Alert Virtuo system compared to the BACTEC FX system. Differences among organisms could be explained by the low numbers of certain tested organisms.6 Consistent with our findings, one study observed a lower TTD for the BacT/Alert Virtuo system compared to the BACTEC FX system.7 On the other hand, another study that tested 405 bottles reported 96.8% agreement between the two systems and no statistical differences were observed in recovery rate and TTD between the BACTEC FX and the BacT/Alert Virtuo systems.8

With regard to anaerobic bacteria, the mean TTD of B fragilis was strikingly shorter in the BACTEC FX (mean=18.3 hours) compared to the BacT/Alert Virtuo system (mean=49.2 hours) and slightly shorter for Clostridium perfringens and Peptoniphilus asaccharolyticus (Table 1). However, the TTD was shorter for B vulgatus on the BacT/Alert Virtuo system compared to the BACTEC FX. Similarly, Cheong et al found the TTD for B fragilis group to be 2.03 days using the BacT/Alert Virtuo system in their comparison to the BacT/Alert 3D system (1.38 days).6 Contrary to our findings, one study found a major difference in the TTD of B fragilis using the BacT/Alert Virtuo system (24.78 hours) when they compared it to the Bact/Alert 3D system (71.45 hours).9 The BacT/Alert 3D system is a previous generation system from the Bact/alert Virtuo system. Comparatively the BacT/Alert Virtuo system is more automated, sensitive and specific with a shorter TTD for microbial growth.10,11

Regarding Escherichia coli, Staphylococcus aureus and Streptococcus pneumoniae, reduction in TTD was prominent using BacT/Alert Virtuo system compared to the BACTEC FX. However, a striking difference in TTD was observed for H influenzae and N meningitidis, with the BACTEC FX having a shorter TTD compared to the BacT/Alert Virtuo system. This could be explained by the effect of SPS (sodium polyanethol sulfonate). SPS is an anticoagulant that inhibits the growth of N meningitidis. SPS concentration in the BacT/Alert Virtuo FA Plus bottle is higher (0.3%) compared to SPS concentration (0.05%) in the Bactec Plus aerobic/F bottles used with the BACTEC FX. In contrast to our findings, this difference for both organisms was not observed in other studies comparing the BacT/Alert Virtuo system and the BacT/Alert 3D system.9,11 The volume of blood used in our study could explain this discrepancy. A higher volume of blood (8–10 mL) could lead to neutralization of the inhibitory effect of SPS on sensitive organisms, thus optimizing the recovery of these organisms. Fastidious organisms like H influenzae require growth factors such as NAD and factor X especially if sterile body fluid is inoculated into blood culture media; however, this is likely not a factor as both are provided by the blood culture media used in both systems.12 Another explanation of the long TTD for both these organisms could be due to the cell density of the inoculum.12 Of note is that adequate blood volume is the most important parameter for the detection of BSI because bacterial or fungal density is very low in most cases of BSIs.1 We used 5 mL fresh blood for aerobic and anaerobic blood culture bottles in our study, which may explain the longer TTD. N meningitidis and H influenzae bacteraemia/septicaemia are serious infections with devastating consequences particularly in pediatric patients. Using advanced and accurate microbial detection systems for rapid and definitive isolation is important for the rapid detection of BSI due to these fastidious bacteria.

The TTD for Stenotrophomona maltophilia was shorter using the BACTEC FX compared to the BacT/Alert Virtuo system for pediatric bottles (P≤.05), while a longer TTD was observed for the BACTEX FX aerobic bottles. Similarly, one study reported a longer TTD for S maltophilia with the BacT/Alert Virtuo system compared to the BacT/Alert 3D system (29.4 hours using 3D compared to 36.6 hours using Virtuo).11 For Candida albicans, we found that the TTD was shorter on the BacT/Alert Virtuo system (22.1 hours vs 35.9 hours). Other studies demonstrated similar mean TTDs for Candida albicans using the BacT/Alert Virtuo system.3,11

The performance of the BacT/Alert Virtuo system was recently evaluated in a large-scale clinical study where they compared its performance to the BacT/Alert 3D system for the detection of bacteremia and fungemia using four bottle types.10 Overall TTD by the BacT/Alert Virtuo system was 2 hours faster than the BacT/Alert 3D system (mean 15.9 hours versus 17.7 hours). For most tested organisms, our mean TTD on the BacT/Alert Virtuo system was similar to or shorter than what they observed.

In addition to our findings of a shorter TTD of microbial growth for the BacT/Alert system over the BACTEC FX system for most tested organisms, the new BacT/Alert Virtuo system has other advantages. The BacT/Alert Virtuo provides automated processes such as having a robotic apparatus for automated loading and unloading of bottles and provides a total reduction of processing steps (from 11 to 4).7,11 Furthermore, the BACTEC FX system reportedly provides reliable estimates of blood volume in blood culture bottles with one limitation, the volume of blood is monitored in batches and not for each individual bottle,1 while the BacT/Alert Virtuo system provides automated volume estimates for each bottle.1

Although our study findings are mainly in agreement with other studies comparing the performance and TTD of the BacT/Alert Virtuo system and the BACTEC FX or other BACTEC systems, it has some limitations. First, the use of simulated bacteremia/fungemia in the blood culture bottles may have led to the differences in the recovery rates of the organisms that resulted in inaccurate measurements of TTD compared to bacteremia/fungemia in clinical specimens. Second, the inoculum used in our study was high (30–300 CFU/bottle) compared to microorganism concentration in real bacteremia/fungemia, which often varied between 0.1–10 CFU/mL.1 Third, the choice of tested organisms in our study was small and did not include other commonly isolated gram-positive and gram-negative organisms and other species of Candida and molds that are seen in clinical practice (such as Acinetobacter, methicillin-resistant Staphylococcus aureus, and other gram-negative bacteria including extended spectrum β-lactamase producing Enterobacteriaceae), plus the performance of the two systems was not assessed in the presence of antibiotics. Fourth, the volume of blood added to aerobic and anaerobic blood culture bottles probably was not enough, which potentially influenced the TTD. TTD is considered an important parameter that is consistently associated with disease severity and risk of death independently of the detection system.4 Fifth, concentration of SPS in the BacT/Alert Virtuo aerobic bottles may have resulted in a long TTD for H influenzae and N meningitidis compared to the BACTEC FX system. Further comparative studies are recommended using clinical specimens to validate the performance of the new BacT/Alert Virtuo MDS for common microorganisms isolated in clinical settings.

In conclusion, our study demonstrated that TTD was significantly shorter for most of the microorganisms tested on the new BacT/Alert Virtuo system compared to the BACTEC FX system. Due to its many advantages, we would recommend use of the BacT/Alert Virtuo system as a microbial detection system in medical microbiology laboratories. However, further studies are needed to evaluate its performance in clinical settings, especially for fastidious organisms.

Footnotes

Funding: Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia

CONFLICT OF INTEREST: None.

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