Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Prognostic role of time to positivity of blood culture in children with Pseudomonas aeruginosa bacteremia

BMC Infectious Diseases volume 20, Article number: 665 (2020) Cite this article

Abstract

Background

Pseudomonas aeruginosa (P. aeruginosa) is a major Gram-negative pathogen, which has been reported to result in high mortality. We aim to investigate the prognostic value and optimum cut-off point of time-to-positivity (TTP) of blood culture in children with P. aeruginosa bacteremia.

Methods

From August 2014 to November 2018, we enrolled the inpatients with P. aeruginosa bacteremia in a 1500-bed tertiary teaching hospital in Chongqing, China retrospectively. Receiver operating characteristic (ROC) analysis was used to determine the optimum cut-off point of TTP, and logistic regression were employed to explore the risk factors for in-hospital mortality and septic shock.

Results

Totally, 52 children with P. aeruginosa bacteremia were enrolled. The standard cut-off point of TTP was18 h. Early TTP (≤18 h) group patients had remarkably higher in-hospital mortality (42.9% vs 9.7%, P = 0.014), higher incidence of septic shock (52.4% vs12.9%, P = 0.06), higher Pitt bacteremia scores [3.00 (1.00–5.00) vs 1.00 (1.00–4.00), P = 0.046] and more intensive care unit admission (61.9% vs 22.6%, P = 0.008) when compared with late TTP (> 18 h) groups. Multivariate analysis indicated TTP ≤18 h, Pitt bacteremia scores ≥4 were the independent risk factors for in-hospital mortality (OR 5.88, 95%CI 1.21–21.96, P = 0.035; OR 4.95, 95%CI 1.26–27.50, P = 0.024; respectively). The independent risk factors for septic shock were as follows: TTP ≤18 h, Pitt bacteremia scores ≥4 and hypoalbuminemia (OR 6.30, 95%CI 1.18–33.77, P = 0.032; OR 8.15, 95%CI 1.15–42.43, P = 0.014; OR 6.46, 95% CI 1.19–33.19 P = 0.031; respectively).

Conclusions

Early TTP (≤18 hours) appeared to be associated with worse outcomes for P. aeruginosa bacteremia children.

Peer Review reports

Intrudoction

Pseudomonas aeruginosa (P. aeruginosa) is responsible for infections with different starting point sites [1]. Poor outcomes usually occurred in critically ill patients infected with P. aeruginosa [2]. Early assessment of the severity of P. aeruginosa bacteremia patients may contribute to assisting the therapy and monitor, so as to improve the outcomes of these patients [3, 4]. Some studies have investigated tools to identify patients at high risk of mortality, such as APACHE scores and PRISM scores [5, 6]. However, the process of these prognostic scores is complex, which leading to inconvenient in clinical work. Therefore, simpler and easier measurement tools are needed in clinical work.

Blood culture is crucial for bacteremia detection [7]. Previous studies showed that early time to positivity (TTP) of blood culture can serve as a poor indicator for patients with different kinds of bacteremia [1, 8,9,10,11]. However, few studies reported the correlation between TTP and clinical outcomes in P. aeruginosa bacteremia children, and the optimal TTP cut-off point remained unclear. Therefore, the aim of our study is to evaluate the optimal TTP cut-off point, explore the correlation between TTP and clinical outcomes, which may help clinicians to identify risk factors of P. aeruginosa bacteremia children and provide more effective treatment earlier.

Methods

Study designs and participants

Children’s Hospital of Chongqing Medical University is a 1500-bed tertiary teaching hospital in Chongqing, China, ranked among the top three domestic children’s hospitals (rank list: http://top100.imicams.ac.cn/home). We conducted a retrospective study at this facility. Patients with P. aeruginosa bacteremia from August 2014 to November 2018 were identified retrospectively. The inclusive criteria were as follows: (i) inpatients; (ii) age < 18 years; (iii) with ≥one positive P. aeruginosa blood culture; (iv) with systemic inflammatory manifestations. The exclusive criteria included any of the following: (i) patients with incomplete medical records; (ii) patients who missed their TTPs; (iii) patients with polymicrobial bacteremia.

Microbiological methods

An approximately 3–5 ml of venous blood (≥0.5 mL for neonate) was inoculated into aerobic each BACTEC PLUS bottle and transported to the microbiological laboratory at any time of the day (24 h a day, 7 days a week). Blood cultures were processed employing the Becton-Dickinson diagnostic systems, which automated measured bacterial growth by continuously monitoring CO2 production in every 5 min, through a fluorescent sensor technology. Those positive cultures were subsequently subcultured after Gram staining. The Vitek identification and susceptibility cards (bioMe’rieux Vitek) took charge of species identification and susceptibility detection.

Definition

P. aeruginosa bacteremia was defined as at least one blood culture positive for P. aeruginosa [9]. Time to positivity (TTP) was measured as the length of time span between the beginning of blood incubation and the alert signal by an automated system [11]. We only enrolled the shortest TTP if there were more than one positive sample. The immunosuppression was defined as primary immunodeficiency disease and/or receipt of high dose steroid therapy regularly more than half a month (≥prednisolone 10 mg/daily or equivalent dose), and/or receipt immunosuppressive chemotherapy within the last 2 months [1]. Neutropenia was defined as the number of neutrophils less than 500/l [12]. Nosocomial infection was defined when manifestations and positive blood culture were obtained more than 48 h after admission [12]. Pittsburgh bacteremia scoring system was used to evaluate the severity of bacteremia in children. We calculated the scores within 2 days prior or on the day of the first blood culture [8, 13, 14], The source of infection was determined only when there were both clinical and laboratory evidence of the site on the day of the first blood culture [8]. Otherwise it was defined as primary bacteremia [12]. Metastatic foci of infection was defined as infection foci developed at least 2 days after the first positive blood culture with microbiologically or clinically evidence documented [15]. Appropriate antimicrobial therapy referred to receipt of at least one active intravenous antimicrobial agent according to susceptibility result within 24 h after blood samples were collected and before susceptibility results were available [16], otherwise it was defined as inappropriate antimicrobial therapy. MDR (multi-drug resistance) was defined as acquired nonsusceptibility to at least one agent in three or more antimicrobial categories [16]. Pseudomonas meningitis was diagnosed when patients fulfilled the following criteria: a positive P. aeruginosa culture of cerebrospinal fluid (CSF) and clinical evidence of P. aeruginosa meningitis [17]. P. aeruginosa peritonitis was diagnosed when patients had clinical evidence of an intra-abdominal source of infection and a positive ascitic fluid culture with P. aeruginosa [18]. Septic shock was defined as patients with sepsis who need vasopressor to maintain a mean arterial pressure of 65 mmHg or greater and serum lactate level greater than 2 mmol/L without hypovolemia [19]. Pneumonia was defined as clinical symptoms and signs in combination with radiologic evidence [20]. Hypoalbuminemia was defined as serum albumin concentration less than 2.5 g/dL [21].

Data collection

Data retrieved from the medical records included demographic characteristics (age, sex, weight), underlying conditions, underlying diseases, place of bacteremia acquisition, the inappropriateness of empirical antibiotics use, TTP of blood culture, severity of bacteremia assessed by Pitt bacteremia scores and clinical outcomes.

Outcomes assessment

The primary outcome was in-hospital mortality. The second outcome was the incidence of septic shock.

Statistical analysis

Classification variables were presented as numbers (n) and percentages (%), and differences in proportions were compared by chi-squared test and Fisher’s exact test if necessary. Continuous variables with abnormal distributions, presented as medians with inter-quartile ranges (IQRs), were analyzed by using the Mann Whitney U test. Receiver-operating characteristic (ROC) analysis was conducted to determine the optimum cutoff point for TTP, with the maximum Youden’s index was applied as the possible applicable predictive marker [20]. The predictive capability of TTP was assessed by the area under the ROC curve (AUC). 0.5 < AUC ≤ 0.7 implicated less predictive, 0.7 < AUC ≤ 0.9 indicated moderately predictive and 0.9 < AUC < 1 referred to highly predictive [22]. Univariate and multivariate logistic regression was employed to find the association between risk factors and in-hospital mortality, septic shock. Variables with P-value < 0.10 in univariate analysis further evaluated in multivariate models with forward LR selection. Meanwhile, the variables with P-value ≤0.05 were retained. Odds ratio (OR) and corresponding 95% confidence interval (CI) was calculated. Hazard curves were further assessed by Kaplan–Meier method. All analyses were performed by using SPSS software for Unix (Version 23.0; SPSS, Chicago, IL, USA). A P-value < 0.05 (two-sided) was considered significant.

Results

Study population and patient characteristics

Sixty inpatients with ≥one P. aeruginosa blood culture positive were enrolled retrospectively during this study period. Eleven of them were excluded (five cases had incomplete information, five cases were infected with other bacteria, one case missed his TTP). Therefore, 52 cases were analyzed in this study finally.

Fig. 1
figure 1

ROC (receiver operating characteristic) curves of TTP (Time-to-positivity). AUC stands for area under the curve

Full size image

Median age of these patients was 1.79 (0.43–9.0) years. Median weight was 11 (7.00–27.00) kg, and the male account for 61.5% (32/52). The average of overall hospitalization stay was 22.52 (9.05–38.3) days. The most common underlying conditions were immunosuppression (50.0%, 26/52), followed by neutropenia (46.2%, 24/52) and hypoalbuminemia (42.3%, 22/52). The most common underlying disease was hematologic malignancies (16/52, 30.8%), followed by congenital heart disease (6/52, 11.6%). The common complications were pneumonia (17.3%, 9/52), meningitis (9.6%, 5/52). The primary origins of infection were respiratory tract infection (42.3%, 22/52), skin and soft tissue infection (15.4%, 8/52), vascular-catheter related infection (15.4%, 8/52), and primary infection (13.5%, 7/52). Twenty (38.5%) patients were admitted to intensive care unit. Twenty-two (42.3%) patients were nosocomial. The median of Pitt bacteremia scores was 1.5 (1–4.00). Thirty-one (59.5%) patients were given antibiotic prior to the blood culture, while 14 (26.9%, 14/31) patients had received inappropriate empirically antimicrobial therapy. Four (7.7%, 4/52) patients were detected with MDR bacteria. The in-hospital mortality was 23.1% (12/52), septic shock incidence was 28.8% (15/52). More details of clinical characteristics are shown in Table 1.

Table 1 Clinical characteristics of 52 children with P. aeruginosa bacteremia
Full size table

TTP of P. aeruginosa bacteremia in children

Median TTP was 18.74 h (IQR 16.14–20.77). The optimal cut-off of TTP was evaluated by ROC analysis. The optimal point for TTP was 17.87 h with 75.0% sensitivity and 72.5% specificity (AUC 0.77, 95%CI 0.604–0.935), indicating a moderate predicting capability (Fig. 1). Therefore 18 h was selected as the standard cut-off. The cases were divided into early TTP (TTP ≤18 h) and late TTP group (TTP > 18 h). The Kaplan–Meier survival curves of patients with the two TTP groups were shown in Fig. 2 and Fig. 3.

Fig. 2
figure 2

The Kaplan–Meier survival curve of 52 children with P. aeruginosa bacteremia according to in-hospital mortality. Patients were divided into early and late TTP groups according to the optimal TTP cut-off points

Full size image
Fig. 3
figure 3

The Kaplan–Meier survival curve of 52 children with P. aeruginosa bacteremia according to septic shock incidence. Patients were divided into early and late TTP groups according to the optimal TTP cut-off points

Full size image

Comparison of clinical characteristics between early and late TTP groups

Table 2 shows the characteristics of early and late TTP groups. Early TTP group patients had significant higher in-hospital mortality (42.9% vs 9.7%, P = 0.014), higher incidence of septic shock (52.4% vs 12.9%, P = 0.006), higher Pitt bacteremia scores (3.00 vs 1.00, P = 0.046) and more intensive care unit admission (61.9% vs 22.6%, P = 0.008). There were more immunosuppression patients in late TTP group as compared to early TTP group (64.5% vs 28.6%, P = 0.023). Four MDR bacteria were all detected in late TTP group patients. The demographic characteristics, underlying conditions, underlying diseases, the complications, origins of infection, nosocomial infection, antibiotics administration before blood culture, and length of hospitalization stay were with no remarkable differences (Table 2).

Table 2 Clinical characteristics and outcomes associated with TTP in 52 children with P. aeruginosa bacteremia
Full size table

Comparison of clinical characteristics between the survival and the non-survival groups

The median TTP in non-survival group was 15.19 (IQR 11.21–18.24) hours, shorter than 19.42 (IQR 16.92–20.97) hours in survival group (P = 0.005). Pitt scores in non-survival group were 4.50 (IQR 1.25–7.25), significantly higher than that in survival group [1.00 (IQR 1.00–3.75)]. The incidence of septic shock was remarkably higher in non-survival group when compared to survival group patients (58.3% vs 20.0%, P = 0.025). More patients had hypoalbuminemia among fatal group than survival group (75.0% vs 32.5%, P = 0.023). No significant differences were detected in other clinical characteristics (Table 3).

Table 3 Comparison of clinical characteristics in survival and non-survival groups in 52 children with P. aeruginosa bacteremia
Full size table

Risk factors of in-hospital mortality

Univariate analysis revealed that early TTP, Pitt bacteremia scores ≥4 and hypoalbuminemia were associated with in-hospital mortality. Multivariate analysis showed early TTP (OR 5.88; 95%CI 1.21–21.96) and Pitt bacteremia scores ≥4 (OR 4.95; 95%CI 1.26–27.50) were independently correlated with in-hospital mortality (Table 4).

Table 4 Logistic regression analysis of risk factors of in-hospital mortality among 52 children with P. aeruginosa bacteremia
Full size table

Risk factors of septic shock

Univariate analysis also indicated that early TTP, Pitt bacteremia scores ≥4, hypoalbuminemia and intensive care unit admission were correlated with septic shock. Multivariate analysis showed early TTP (OR 6.30; 95%CI 1.18–33.77), Pitt bacteremia scores ≥4 (OR 8.15; 95%CI 1.53–43.32), hypoalbuminemia (OR 6.46; 95% CI 1.19–33.19) were independently associated with septic shock (Table 5).

Table 5 Logistic regression analysis of risk factors of septic shock among 52 children with P. aeruginosa bacteremia
Full size table

Discussion

Studies showed that early TTP can serve as an indicator of higher bacterial burden in the blood [1, 13, 16], which can be translated as more severe bacteremia. Different bacteria has different median TTP [23]. Several factors can influence TTP of blood culture, such as bacterial burden, blood volume of the sample, source of infection, use of antimicrobial agents and other clinical characteristics [1, 24]. In this study, we found the optimal TTP cut-off point was 18 h in P. aeruginosa bacteremia children, which was significantly longer than that in adult P. aeruginosa bacteremia patients (13 h) [8]. The possible explanation could be that lower volume of blood culture of children compared to adults (≥0.5 mL for neonate, 3-5 mL for children ≥1 month [25], 8–10 mL for adults [26]) led to lower bacterial burden. Studies demonstrated that early TTP had significantly higher mortality in bacteremia patients caused by Gram-positive bacteria such as S. pneumoniae [11], S. aureus [12], and Gram-negative bacteria such as E. coli [9], Klebsiella pneumoniae [10] and P. aeruginosa [1, 8] in adult bacteremia patients. Our previous studies indicated early TTP were associated with the worse outcomes in S. pneumoniae bacteremia children [27], Here, we found that TTP ≤18 h had moderate capability to predict in-hospital mortality in P. aeruginosa bacteremia children (AUC = 0.770). Early TTP patients had approximately 5 folds higher risk of in-hospital mortality and 6 folds higher risk of septic shock when compared to late TTP. Our study indicated the association between early TTP and clinical outcomes in children with P. aeruginosa bacteremia, which was in accord with previous studies.

It is commonly accepted that Pitt bacteremia scores can evaluate severity of bacteremia and provide prognostic information, Pitt bacteremia scores ≥4 can be assumed as critical bacteremia [8, 13, 14]. Previous study showed revealed that adult patients with Pitt bacteremia scores ≥4 had approximately 13 folds higher risk of 30-days mortality [8]. Our study indicated that Pitt bacteremia scores was statistically higher in early TTP and fatal group respectively compared with late TTP and surviving group, which was in line with previous study. Moreover, multivariate analysis demonstrated that Pitt bacteremia scores ≥4 was the independent risk factor of in-hospital mortality and septic shock.

We found 38 patients (38/52, 73.1%) received appropriate empirical antimicrobial therapy after blood culture before susceptibility results (23 patients had Carbapenems, 8 patients had Piperacillin-tazobactam, 6 patients had Cefepime, and 1 patient had Ceftazidime. Fourteen patients (26.9%) received inappropriate empirical antimicrobial therapy after blood culture before susceptibility results (Cefotiam, Cefuroxime, Vancomycin, Teicoplanin, Latamoxef and Cefazolin sodium pentahydrate). Studies showed that receiving appropriate empirical antimicrobial agents earlier was significantly important [1, 28]. While we showed no correlation between inappropriate empirical antimicrobial treatment and in-hospital mortality, which was in accord with several studies [14, 29]. The plausible explanations for the differences are as follows: we included community-required infection patients, the initial treatment outside our hospital could be an interference factor. Second, we did not determine the precise delay time correlated with in-hospital mortality.

Our study also revealed that lower level of albuminemia is a possible independent risk factor of septic shock in P.aeruginosa bacteremia children, which was not noted in previous studies of adults. Lokesh K, et al. [21] showed that hypoalbuminemic patients had worse outcomes. Probably, critical illness and sepsis were the reasons for hypoalbuminemia, which could cause lower plasma colloid osmotic pressure and inadequate blood perfusion to vital organs [21, 30]. Nevertheless, the benefit of receiving albumin in adults or childhood critical patients remains unclear [21, 30]. Prospective study may be needed to clarify the effects of albumin in critical bacteremia children.

Studies in adult patients indicated the origin of infection was correlated with TTP. For E. coli bacteremia, urinary tract and vascular catheter-related infections had longer TTP (> 7 h) [31]. While S. aureus bacteremia patients with intravascular-catheter infections had shorter TTP (≤12 h) [1]. As for K. pneumoniae bacteremia, primary bacteremia patients had earlier TTP (< 7 h) [10]. No correlation was found between TTP and origins of infection in this study. Primary infection and lack of bacterial culture might have resulted in bias.

This study had some limitations. Firstly, this is a retrospective study, therefore prospective studies can be needed to strengthen our conclusion. Secondly, the small population size may lead to heterogeneous results. Thirdly, this is a single-center study. The relatively small sample and single-center study may lead to type II errors and decrease the ability to obtain solid proof, therefore, further studies with multi-center and a larger sample size are needed to address this conclusion.

Conclusion

In conclusion, our study revealed that early TTP (TTP ≤18 h), along with Pitt bacteremia scores ≥4 could predict poor outcomes for children with P. aeruginosa bacteremia. Therefore, TTP can serve as a prognostic tool by clinicians.

Availability of data and materials

The data-sets analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

TTP:

Time to positivity

P. aeruginosa :

Pseudomonas aeruginosa

APACHE scores:

Acute physiology and chronic health evaluation scores

PRISM scores:

Pediatric risk of mortality scores

CI:

Confidence interval

OR:

Odds ratio

ROC:

Receiver operating characteristic

IQR:

Inter-quartile range

CSF:

Cerebrospinal fluid

MDR:

Multi-drug resistance

References

  1. Willmann M, Kuebart I, Vogel W, et al. Time to positivity as prognostic tool in patients with Pseudomonas aeruginosa bloodstream infection. J Inf Secur. 2013;67:416–23.

    Google Scholar 

  2. Endimiani A, Luzzaro F, Pini B, et al. Pseudomonas aeruginosa bloodstream infections: risk factors and treatment outcome related to expression of the PER-1 extended-spectrum beta-lactamase. BMC Infect Dis. 2006;6:52.

    Article  Google Scholar 

  3. Rojas A, et al. Rates, predictors and mortality of community-onset bloodstream infections due to Pseudomonas aeruginosa: systematic review and meta-analysis. Clin Microbiol Infect. 2019;25:964–70.

    Article  CAS  Google Scholar 

  4. Lodise TP, Patel N, Kwa A, et al. Predictors of 30-day mortality among patients with Pseudomonas a eruginosa bloodstream infections: impact of delayed appropriate antibiotic selection. Antimicrob Agents Ch. 2007;51:3510–5.

    Article  CAS  Google Scholar 

  5. Tumbarello M, Repetto E, Trecarichi EM, et al. Multidrug-resistant Pseudomonas aeruginosa bloodstream infections: risk factors and mortality. Epidemiol Infect. 2011;139:1740–9.

    Article  CAS  Google Scholar 

  6. Pai S, Enoch DA, Aliyu SH. Bacteremia in children: epidemiology, clinical diagnosis and antibiotic treatment. Expert Rev Anti-infe. 2015;13:1073–88.

    Article  CAS  Google Scholar 

  7. Book M, Lehmann LE, Zhang XH, et al. Monitoring infection: from blood culture to polymerase chain reaction (PCR). Best Pract Res Cl Ob. 2013;27(2):279–88.

    Google Scholar 

  8. Tang PC, Lee CC, Li CW, et al. Time-to-positivity of blood culture: an independent prognostic factor of monomicrobial Pseudomonas aeruginosa bacteremia. J Microbiol Immunol. 2017;50:486–93.

    Google Scholar 

  9. Peralta G, Roiz MP, Sánchez MB, et al. Time-to-positivity in patients with Escherichia coli bacteraemia. Clin Microbiol Infect. 2007;13:1077–82.

    Article  CAS  Google Scholar 

  10. Liao CH, Lai CC, Hsu MS, et al. Correlation between time to positivity of blood cultures with clinical presentation and outcomes in patients with Klebsiella pneumoniae bacteraemia: prospective cohort study. Clin Microbiol Infect. 2009;15:1119–25.

    Article  Google Scholar 

  11. Peralta G, Rodríguez-Lera MJ, Garrido JC, et al. Time to positivity in blood cultures of adults with S treptococcus pneumoniae bacteremia. BMC Infect Dis. 2006;6:79.

    Article  Google Scholar 

  12. Marra AR, Edmond MB, Forbes BA, et al. Time to blood culture positivity as a predictor of clinical outcome of Staphylococcus aureus bloodstream infection. J Clin Microbiol. 2006;44:1342–6.

    Article  Google Scholar 

  13. Haimi-Cohen Y, Vellozzi EM, Rubin LG. Initial concentration of Staphylococcus epidermidis in simulated pediatric blood cultures correlates with time to positive results with the automated, continuously monitored BACTEC blood culture system. J Clin Microbiol. 2002;40:898–901.

    Article  Google Scholar 

  14. Lodise TP, Patel N, Kwa A, et al. Predictors of 30-day mortality among patients with Pseudomonas aeruginosa bloodstream infections: impact of delayed appropriate antibiotic selection. Antimicrob Agents Ch. 2007;51:3510–5.

    Article  CAS  Google Scholar 

  15. Bisbe J, Gatell JN, et al. Pseudomonas aeruginosa bacteremia: Univariate and multivariate analyses of factors influencing the prognosis in 133 episodes. Clin Infect Dis. 1988;10:629–35.

    Article  CAS  Google Scholar 

  16. Morata L, Cobos-Trigueros N, Martínez JA, et al. Influence of multidrug resistance and appropriate empirical therapy on the 30-day mortality rate of Pseudomonas aeruginosa bacteremia. Antimicrob Agents Ch. 2012;56:4833–7.

    Article  CAS  Google Scholar 

  17. Pai S, Bedford L, Ruramayi R, et al. Pseudomonas aeruginosa meningitis/ventriculitis in a UK tertiary referral hospital. QJM: Int J Med. 2015;109:85–9.

    Article  Google Scholar 

  18. Soriano G, Castellote J, Álvarez C, et al. Secondary bacterial peritonitis in cirrhosis: a retrospective study of clinical and analytical characteristics, diagnosis and management. J Hepatol. 2010;52:39–44.

    Article  Google Scholar 

  19. Rhodes A, Evans LE, Alhazzani W, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016. Intens Care Med. 2017;43:304–77.

    Article  Google Scholar 

  20. Bradley JS, Byington CL, Shah SS, et al. The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis. 2011;53:e25–76.

    Article  Google Scholar 

  21. Tiwari LK, Singhi S, Jayashree M, et al. Hypoalbuminemia in critically sick children. Indian J Crit Care Med. 2014;18:565.

    Article  Google Scholar 

  22. Faraggi D, Reiser B. Estimation of the area under the ROC curve. Stat Med. 2002;21:3093–106.

    Article  Google Scholar 

  23. Defrance G, Birgand G, Ruppé E, et al. Time-to-positivity-based discrimination between Enterobacteriaceae, Pseudomonas aeruginosa and strictly anaerobic gram-negative bacilli in aerobic and anaerobic blood culture vials. J Microbiol Meth. 2013;93:77–9.

    Article  Google Scholar 

  24. Yu VL, Chiou CCC, Feldman C, et al. An international prospective study of pneumococcal bacteremia: correlation with in vitro resistance, antibiotics administered, and clinical outcome. Clin Infect Dis. 2003;37:230–7.

    Article  CAS  Google Scholar 

  25. Connell TG, Rele M, et al. How reliable is a negative blood culture result? Volume of blood submitted for culture in routine practice in a Children’s hospital. Pediatrics. 2007;119:891–896.35.

    Article  Google Scholar 

  26. Lin HH, Liu YF, Tien N, et al. Evaluation of the blood volume effect on the diagnosis of bacteremia in automated blood culture systems. J Microbiol Immunol. 2013;46:48–52.

    CAS  Google Scholar 

  27. Li Q, Li Y, Yi Q, et al. Prognostic roles of time to positivity of blood culture in children with Streptococcus pneumoniae bacteremia. Eur J Clin Microbiol 2019; https://0-doi-org.brum.beds.ac.uk/https://0-doi-org.brum.beds.ac.uk/10.1007/s10096-018-03443-5.

  28. Cunha BA. Sepsis and septic shock: selection of empiric antimicrobial therapy. Crit Care Clin. 2008;24:313–34.

    Article  CAS  Google Scholar 

  29. Artero A, Zaragoza R, Camarena JJ, et al. Prognostic factors of mortality in patients with community-acquired bloodstream infection with severe sepsis and septic shock. J Crit Care. 2010;25:276–81.

    Article  Google Scholar 

  30. SAFE Study investigators. A comparison of albumin and saline for fluid resuscitation in the intensive care unit. New Eng J Med. 2004;350:2247–56.

    Article  Google Scholar 

  31. Martinez JA, Soto S, et al. Relationship of phylogenetic background, biofilm production, and time to detection of growth in blood culture vials with clinical variables and prognosis associated with Escherichia coli bacteremia. J Clin Microbiol. 2006;44:1468–74.

    Article  Google Scholar 

Download references

Acknowledgments

We thank the many staff the Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University.

Funding

This work was supported by national key clinical specialty(grant no.2011–873).

Author information

Authors and Affiliations

  1. Key Laboratory of Pediatrics in Chongqing, Chongqing, 400014, China

    Huiting Xu, Jie Cheng, Qinghong Yu, Qingyuan Li, Qian Yi & Siying Luo

  2. China International Science and Technology Cooperation base of Child development and Critical Disorders, Department of Children’s Hospital of Chongqing Medical University of Education, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400014, China

    Huiting Xu, Jie Cheng, Qinghong Yu, Qingyuan Li, Qian Yi & Siying Luo

  3. Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, 401122, China

    Yuanyuan Li, Guangli Zhang, Xiaoyin Tian & Zhengxiu Luo

  4. Department of Clinical Laboratory center, Children’s Hospital of Chongqing Medical University, Chongqing, 400014, China

    Dapeng Cheng

Authors
  1. Huiting Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jie Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qinghong Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Qingyuan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Qian Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Siying Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yuanyuan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Guangli Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Xiaoyin Tian
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Dapeng Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Zhengxiu Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ZX L designed and revised the experiments; HT X, J C, QH Y and GL Z collected and checked the date. HT X carried out the experiments and wrote the manuscript; QY, QY L and XY T contributed to drawing figures and tables; SY L, YY L and DP C helped in the statistical analyses; all authors contributed to manuscript revisions and approved the final version for publication.

Corresponding author

Correspondence to Zhengxiu Luo.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ethics Committee of Children’s Hospital of Chongqing Medical University (File No. (2019)304). Informed consent was obtained from the parents in written form when children were admitted to the hospital. All methods were performed in accordance with the relevant guidelines and regulations.

Consent for publication

Not applicable.

Competing interests

The authors declare no financial and non-financial competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, H., Cheng, J., Yu, Q. et al. Prognostic role of time to positivity of blood culture in children with Pseudomonas aeruginosa bacteremia. BMC Infect Dis 20, 665 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12879-020-05257-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12879-020-05257-3

Keywords

BMC Infectious Diseases

ISSN: 1471-2334

Contact us