OBJECTIVES

To determine whether the BioFire FilmArray Meningitis/Encephalitis (ME) panel is associated with decreased resource use for febrile infants. The ME panel has a rapid turnaround time (1–2 hours) and may shorten length of stay (LOS) and antimicrobial use for febrile well-appearing infants.

METHODS

Retrospective cohort study of febrile well-appearing infants ≤60 days with cerebrospinal fluid culture sent in the emergency department from July 2017 to April 2019. We examined the frequency of ME panel use and its relationship with hospital LOS and initiation and duration of antibiotics and acyclovir. We used nonparametric tests to compare median durations.

RESULTS

The ME panel was performed for 85 (36%) of 237 infants. There was no difference in median hospital LOS for infants with versus without ME panel testing (42 hours, interquartile range [IQR] 36–52 vs 40 hours, IQR: 35–47, P = .09). More than 97% of infants with and without ME panel testing were initiated on antibiotics. Patients with ME panel were more likely to receive acyclovir (33% vs 18%; odds ratio: 2.2, 95%: confidence interval 1.2–4.0). There was no difference in median acyclovir duration with or without ME panel testing (1 hour, IQR: 1–7 vs 4.2 hours, IQR: 1–21, P = .10). When adjusting for potential covariates, these findings persisted.

CONCLUSIONS

ME panel use was not associated with differences in hospital LOS, antibiotic initiation, or acyclovir duration in febrile well-appearing infants. ME panel testing was associated with acyclovir initiation.

There is great variability in management of febrile infants ≤60 days.1,2  There have been multiple decision rules and clinical practice guidelines37  developed to risk-stratify the need to obtain cerebrospinal fluid (CSF) analysis and initiate antibiotics with or without acyclovir. The fear of neonatal herpes simplex virus (HSV) and lack of widely accepted guidelines has led to variable HSV testing and empirical treatment that does not correlate with HSV frequency.8,9  Shah et al showed that sending a CSF HSV polymerase chain reaction (PCR) among infants in the emergency department (ED) overall increases length of stay (LOS) and hospital charges.10  However, a delay in the start of acyclovir when needed is associated with increased mortality from HSV encephalitis.11 

The BioFire FilmArray Meningitis/Encephalitis (ME) panel uses a multiplex PCR to test for 14 common pathogens in CSF. Pathogens include Escherichia coli K1, Haemophilus influenzae, Listeria monocytogenes, Neisseria meningitidis, Streptococcus agalactiae, Streptococcus pneumoniae, cytomegalovirus, enterovirus (EV), HSV-1, HSV-2, human herpesvirus 6, human parechovirus, varicella-zoster virus, and Cryptococcus neoformans/C. gattii. The manufacturers of the ME panel determined the limit of detection for each analyte to be when at least 95% of replicates tested positive at its estimated limit of detection concentration.12  As such, the PCR is not 100% sensitive and will yield negative results early in course of infection. The ME panel is reliable and has comparable positive percentage agreement for most viruses and bacterial infections compared with traditional testing options.1315  Liesman et al demonstrated an overall positive percentage agreement of 97.5% for bacterial pathogens and 90.1% for viruses.14 

The ME panel became available at our study site in July 2017 and is performed 24 hours a day, 7 days a week. If a target yields a positive result, the assay is repeated for reproducibility. Turnaround times are <2.5 hours and <1.25 hours for positive and negative results, respectively. Although there is literature on ME panel use in children,1620  there are no reports focused on febrile well-appearing infants, a population in whom CSF testing is frequently obtained. The ability to test for many common neonatal pathogens with a rapid turnaround time may change antimicrobial usage and hospital observation times in evaluation of neonatal central nervous system infections.21 

The objective of this study was to test our hypothesis that ME panel testing decreases hospital LOS and antibiotic and acyclovir use in febrile well-appearing infants ≤60 days without HSV or focal or systemic bacterial infection.

We performed a retrospective review of infants ≤60 days with fever presenting to the Pediatric Emergency Department (PED) of an urban, 300-bed tertiary-care children’s hospital and its affiliated community PED between July 2017 to April 2019. Infants were eligible if they had a chief complaint of fever or documented fever at triage and a CSF culture obtained during workup in the PED. Fever was defined as a temperature ≥38.0°C. Infants transferred from outside facilities that initiated workup and treatment (blood or urine testing, antimicrobial agents) were eligible if CSF was obtained in our PED. There were no direct admissions. Patients were included regardless of admission status.

Chart review was performed by a single author to confirm eligibility. Patients with bronchiolitis, upper respiratory infections, gastroenteritis, and viral meningitis were included because these infants are often the population of interest when deciding to discontinue antimicrobial agents. Patients were excluded if described as ill-appearing in initial ED provider documentation, admitted or transferred to an ICU, or hypothermic (<36.5°C)22  at triage. Well-appearance was presumed unless documented as ill-appearing, sick-appearing, or lethargic.23 

Patients with a diagnosis of HSV or focal or systemic bacterial infection requiring antimicrobial treatment were excluded on the basis that LOS and duration of antimicrobial agents would be determined by what is needed for treatment. We identified patients with HSV and focal or systemic bacterial infections based on review of discharge summary diagnoses and International Classification of Diseases, 10 Revision (ICD-10) codes. Discharge summary diagnoses for focal and systemic infections consisted of urinary tract infection, pyelonephritis, bacteremia, bacterial meningitis, pneumonia, parotitis, skin and soft tissue infections, orbital cellulitis, and septic arthritis. A complete list of ICD-10 codes excluded in this study is available in Supplemental Table 3.

The primary outcome measure was hospital LOS. For patients presenting directly to our ED, LOS was defined as hours from ED registration to ED or inpatient discharge order. For patients transferred from outside facilities, LOS was defined as hours from registration time in our electronic health record when the patient was accepted for transfer to the ED or inpatient discharge order. Secondary outcome measures were antibiotic and acyclovir initiation and duration. Antibiotic or acyclovir initiation was defined as receiving a first dose of medication in either ED or inpatient setting. Antibiotic or acyclovir duration was defined as hours from first to final dose of any antibiotic or acyclovir administered. If a patient received 1 single dose of antibiotic or 2 separate antibiotics (eg, ampicillin and gentamicin) once within 1 hour, antibiotic duration was defined as 1 hour and will be referred to as receiving “1 dose” of antibiotics. If a patient received 1 single dose of acyclovir, acyclovir duration was defined as 1 hour. We identified ME panel testing as patients who had testing from CSF specimens sent from the ED, either ordered by an ED provider or later added on to the ED specimen by the inpatient team.

During the study period, there were no formal guidelines for febrile infant evaluation, ME panel testing or interpretation, initiation or cessation of antimicrobial agents, or discharge criteria from ED or inpatient units. There was no standardized training on ME panel use during site rollout.

We collected through electronic health record download patient demographics, laboratory results, antimicrobial agents administered, and antimicrobial duration. Antimicrobial administration and duration were checked with manual review. Charts were reviewed for past medical history (comorbidities, gestational age at birth, mode of delivery), admission status, admitting team, discharge date and time, outside facility transfer, outside facility laboratory results and antimicrobial administration, ME panel results, and discharge summary and ICD diagnoses. Chart review data were collected and managed using REDCap (Vanderbilt University; Nashville, TN) electronic data capture tools hosted at our study site.24,25 

We describe our study population using standard descriptive statistics. We used the χ2 test to evaluate associations between ME panel testing and independent categorical variables in bivariable analyses. Time in hours was treated as a continuous variable and presented as medians with interquartile ranges (IQR). Based on initial descriptive statistics, our continuous variables were not normally distributed; therefore, we used nonparametric tests (Mann-Whitney U and Kruskal-Wallis) to compare medians by ME panel testing, demographics, and laboratory variables. We performed subgroup analyses for LOS by age group and subset analyses removing groups that might impact LOS (viral diagnoses of bronchiolitis or gastroenteritis, discharge from ED, CSF pleocytosis). Associations between antimicrobial initiation and ME panel testing were analyzed using χ2 tests and reported as odds ratios (OR) with 95% confidence intervals (CI). Statistical significance was determined a priori as a 2-tailed P value <.05.

We conducted multivariable analyses with covariates: age group, race and ethnicity, term status, complete blood count (CBC) white blood cell (WBC) count, and CSF pleocytosis. Age was analyzed as a categorical variable (<29 days and 29–60 days). CBC WBC count was defined as normal (5–15 K/mm3) or abnormal (<5 or >15 K/mm3).26  CSF pleocytosis was defined as WBC count >15 cells/mm3 for infants <29 days and >9 cells/mm3 for infants 29 to 60 days.27,28  Traumatic lumbar puncture cases (red blood cell count ≥10 000 cells/mm3)29  were excluded from CSF analyses but were included in all other analyses. For multivariable analyses, we used logistic regression for antimicrobial initiation and nonparametric ANCOVA for LOS and antimicrobial duration.

Data were analyzed using IBM SPSS Statistics for Windows, version 28 (IBM Corp, Armonk, N.Y., USA). Our study site’s institutional review board certified this study as exempt.

We identified 337 infants ≤60 days with fever and CSF sampling during the study period. Triage temperatures ranged 36.4°C–40.2°C. Before applying exclusion criteria for bacterial infections, there were 3 false negative ME panel results for E.coli K1 because of the number of colony forming units per mL in each CSF sample being below the limit of detection. These patients all grew E.coli K1 from their CSF culture and were excluded from our analyses of LOS and antimicrobial administration. One of these patients with a false negative ME panel for E.coli was positive for EV on the same panel. There were no true or false positive bacterial pathogens by ME panel testing in this cohort of infants during the study period. There were 5 positive CSF culture bacterial pathogens (3 E.coli, 1 Streptococcus agalactiae, 1 Streptococcus bovis); these include the 3 false negative E.coli results and 2 infants that did not have ME panel testing.

We excluded 100 patients for HSV or focal or systemic bacterial infections, intensive care needs, ill-appearance, and/or hypothermia (Fig 1). There were 237 cases that met study criteria. Median age was 28 days (IQR: 20–40). Eighty-five infants (36%) had ME panel testing; 69 had testing in the ER, and 16 had testing added on while admitted. ME panel testing was performed on 41% of infants <29 days and 30% of infants 29 to 60 days of age (Table 1). Twenty (24%) had positive results, which included EV (n = 14), human parechovirus (n = 4), human herpesvirus 6 (n = 1), and cytomegalovirus (n = 1). There was no difference in median CSF WBC count between infants with and without ME panel testing (4, IQR: 2–17 vs 5, IQR: 2–27; P = .83).

FIGURE 1

BioFire FilmArray ME Panel testing in eligible study population. aSome patients met >1 exclusion criteria.

FIGURE 1

BioFire FilmArray ME Panel testing in eligible study population. aSome patients met >1 exclusion criteria.

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TABLE 1

Characteristics of Study Population

CharacteristicTotal n = 237, n (%)ME Panel, n = 85, n (%)No ME Panel, n = 152, n (%)
Age    
 0–28 d 124 (52) 51 (60) 73 (48) 
 29–60 d 113 (48) 34 (40) 79 (52) 
Male sex 133 (55) 47 (55) 84 (55) 
Premature birth 21 (9) 5 (6) 16 (11) 
Mode of delivery    
 Vaginal 132 (56) 52 (61) 80 (53) 
 Cesarean 68 (29) 24 (28) 44 (29) 
 Not documented 37 (16) 9 (11) 28 (18) 
Race and ethnicity    
 Non-Hispanic Black 86 (36) 20 (24) 66 (43) 
 Hispanic 72 (30) 28 (33) 44 (29) 
 Non-Hispanic White 45 (19) 17 (20) 28 (18) 
 Other (Asian, other, not reported) 34 (14) 20 (24) 14 (9) 
Interpreter needed 24 (10) 8 (9) 16 (11) 
Triage temperature, median (IQR) 38.0 (37.4–38.4) 38.0 (37.3–38.5) 38.0 (37.5–38.4) 
Transferred from outside facility 18 (8) 12 (8) 6 (7) 
Discharged from ED 13 (6) 2 (2) 11 (7) 
CSF pleocytosis    
 No 146 (62) 56 (66) 90 (59) 
 Yes 59 (25) 22 (26) 37 (24) 
No CSF WBC count 30 (13) 7 (8) 23 (15) 
Traumatic LP 2 (1) 0 (0) 2 (1) 
CBC WBC count 182 (77) 63 (74) 119 (78) 
 Normal (5–15 K/mm353 (22) 21 (25) 32 (21) 
 Abnormal 2 (1) 1 (1) 1 (1) 
Missing value — — –— 
Comorbiditiesa 14 (6) 3 (4) 11 (7) 
CharacteristicTotal n = 237, n (%)ME Panel, n = 85, n (%)No ME Panel, n = 152, n (%)
Age    
 0–28 d 124 (52) 51 (60) 73 (48) 
 29–60 d 113 (48) 34 (40) 79 (52) 
Male sex 133 (55) 47 (55) 84 (55) 
Premature birth 21 (9) 5 (6) 16 (11) 
Mode of delivery    
 Vaginal 132 (56) 52 (61) 80 (53) 
 Cesarean 68 (29) 24 (28) 44 (29) 
 Not documented 37 (16) 9 (11) 28 (18) 
Race and ethnicity    
 Non-Hispanic Black 86 (36) 20 (24) 66 (43) 
 Hispanic 72 (30) 28 (33) 44 (29) 
 Non-Hispanic White 45 (19) 17 (20) 28 (18) 
 Other (Asian, other, not reported) 34 (14) 20 (24) 14 (9) 
Interpreter needed 24 (10) 8 (9) 16 (11) 
Triage temperature, median (IQR) 38.0 (37.4–38.4) 38.0 (37.3–38.5) 38.0 (37.5–38.4) 
Transferred from outside facility 18 (8) 12 (8) 6 (7) 
Discharged from ED 13 (6) 2 (2) 11 (7) 
CSF pleocytosis    
 No 146 (62) 56 (66) 90 (59) 
 Yes 59 (25) 22 (26) 37 (24) 
No CSF WBC count 30 (13) 7 (8) 23 (15) 
Traumatic LP 2 (1) 0 (0) 2 (1) 
CBC WBC count 182 (77) 63 (74) 119 (78) 
 Normal (5–15 K/mm353 (22) 21 (25) 32 (21) 
 Abnormal 2 (1) 1 (1) 1 (1) 
Missing value — — –— 
Comorbiditiesa 14 (6) 3 (4) 11 (7) 
a

Cardiac (ventricular septal defect, pulmonary artery stenosis, history of supraventricular tachycardia, long QT syndrome), Hematologic (sickle cell trait, T cell lymphopenia, thrombocytopenia), Kidney (solitary, unilateral multicystic, unilateral dysplastic), Other (Turner’s syndrome, intrauterine growth restriction, pending metabolic workup, perinatal HIV exposure). LP, lumbar puncture.

There was no difference in median hospital LOS for infants with and without ME panel testing (42 hours, IQR: 36–52 vs 40 hours, IQR: 35–47; P = .09, adjusted P = .06) (Table 2). LOS was not associated with ME panel results (positive 48 hours, IQR: 37–55 vs negative 42 hours, IQR: 36–51; P = .14). In subgroup analyses, there was no difference in median LOS for infants not tested and those with a negative panel (P = .33). There was no association between ME panel testing and LOS in the subset of younger and older infants, admitted patients, or infants without CSF pleocytosis (Table 2). When we excluded infants with gastroenteritis or bronchiolitis, infants with ME panel testing had a significantly longer LOS.

TABLE 2

Comparing Median LOS With and Without ME Panel Testing

Length of Stay
ME Panel, h (IQR)No ME Panel, h (IQR)Pa
All infants (n = 237) 42 (36–52) (n = 85) 40 (35–47) (n = 152) .09 unadjusted, .06 adjustedb 
Age 0–28 d (n = 124) 44 (38–51) (n = 51) 41 (37–46) (n = 73) .41 
Age 29–60 d (n = 113) 41 (28–54) (n = 34) 38 (28–47) (n = 79) .16 
Admitted patients (n = 224) 44 (37–52) (n = 83) 40 (36–47) (n = 141) .23 
No CSF pleocytosis (n = 146) 40 (35-49) (n = 56) 37 (34–44) (n = 90) .17 
No diagnosis of bronchiolitis or gastroenteritis (n = 207) 43 (36–52) (n = 76) 39 (35–45) (n = 131) .03 
Length of Stay
ME Panel, h (IQR)No ME Panel, h (IQR)Pa
All infants (n = 237) 42 (36–52) (n = 85) 40 (35–47) (n = 152) .09 unadjusted, .06 adjustedb 
Age 0–28 d (n = 124) 44 (38–51) (n = 51) 41 (37–46) (n = 73) .41 
Age 29–60 d (n = 113) 41 (28–54) (n = 34) 38 (28–47) (n = 79) .16 
Admitted patients (n = 224) 44 (37–52) (n = 83) 40 (36–47) (n = 141) .23 
No CSF pleocytosis (n = 146) 40 (35-49) (n = 56) 37 (34–44) (n = 90) .17 
No diagnosis of bronchiolitis or gastroenteritis (n = 207) 43 (36–52) (n = 76) 39 (35–45) (n = 131) .03 
a

Mann-Whitney U test.

b

Adjusted for age group, race and ethnicity, term status, CBC WBC count, and CSF pleocytosis using nonparametric ANCOVA.

More than 97% of infants with and without ME panel testing were initiated on antibiotics (Table 3). Two percent of infants with ME panel testing received 1 dose of antibiotics compared to 11% of infants without (Fig 2). Of patients receiving antibiotics, those with ME panel testing received antibiotics for a median of 32 (IQR: 25–40) compared to 30 hours (IQR: 23–35) for those without (P < .01). Antibiotic duration was not associated with ME panel results (positive 32 hours, IQR: 25–41 vs negative 32 hours, IQR: 25–40; P = .89).

FIGURE 2

Antibiotic Duration by ME panel testing.

FIGURE 2

Antibiotic Duration by ME panel testing.

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TABLE 3

Comparing Antibiotic and Acyclovir Initiation and Duration for Infants With and Without ME Panel Testing

ME Panel (n = 85)No ME Panel (n = 152)UnadjustedAdjusteda
Antibiotic initiation, n (%) 83 (98) 149 (98) OR 0.8
95% CI: 0.1–5.1 
aOR 0.4
95% CI: 0.0–3.6 
Median antibiotic duration, h (IQR) 32 (25–40)
(n = 83) 
30 (23–35)
(n = 149) 
P < .01 P < .01 
Acyclovir initiation, n (%) 28 (33) 28 (18) OR 2.2
95% CI: 1.2–4.0 
aOR 2.1
95% CI: 1.1–4.3 
Median acyclovir duration, h (IQR) 1.0 (1–6.6)
(n = 28) 
4.2 (1–21)
(n = 28) 
P = .10 P = .37 
Median acyclovir doses (IQR) 1 (1.0–1.8)
(n = 28) 
1.5 (1.0–3.8)
(n = 28) 
P = .09 P = .35 
ME Panel (n = 85)No ME Panel (n = 152)UnadjustedAdjusteda
Antibiotic initiation, n (%) 83 (98) 149 (98) OR 0.8
95% CI: 0.1–5.1 
aOR 0.4
95% CI: 0.0–3.6 
Median antibiotic duration, h (IQR) 32 (25–40)
(n = 83) 
30 (23–35)
(n = 149) 
P < .01 P < .01 
Acyclovir initiation, n (%) 28 (33) 28 (18) OR 2.2
95% CI: 1.2–4.0 
aOR 2.1
95% CI: 1.1–4.3 
Median acyclovir duration, h (IQR) 1.0 (1–6.6)
(n = 28) 
4.2 (1–21)
(n = 28) 
P = .10 P = .37 
Median acyclovir doses (IQR) 1 (1.0–1.8)
(n = 28) 
1.5 (1.0–3.8)
(n = 28) 
P = .09 P = .35 
a

Adjusted for age group, race and ethnicity, term status, CBC WBC count, and CSF pleocytosis using logistic regression (categorical outcomes) or nonparametric ANCOVA (continuous outcomes)

The odds of acyclovir initiation for infants with ME panel testing was twice that of those without (33% vs 18%; OR: 2.2, 95% CI: 1.2–4.0; aOR: 2.1, 95% CI: 1.1–4.3). There was a difference in acyclovir initiation between infants with ME panel testing in the ER (22 of 69, 32%), ME panel testing added on while admitted (6 of 16, 38%), and those without ME panel testing (28 of 152, 18%) (P = .04). Among infants with ME panel testing, 25% received 1 dose of acyclovir compared with 9% for infants without testing (Supplemental Fig 3). For infants ages <29 days, 41% with ME panel testing were started on acyclovir compared to 16% of infants without (OR: 3.6, 95% CI: 1.5–8.2). For infants 29 to 60 days, ∼20% of infants in both groups were started on acyclovir (OR: 1.0, 95% CI: 0.4–2.8). Of infants started on acyclovir, ME panel testing in general was not associated with a shorter course of acyclovir use (Table 3). There was a difference in the median acyclovir durations for infants who had ME panel testing in the ER (1 hour, IQR: 1–1), ME panel testing added on while admitted (12 hours, IQR 1–19), and those without ME panel testing (4.2 hours, IQR: 1–21) (P = .04). There was no difference in acyclovir duration based on ME panel positivity (P = .97). For infants without bronchiolitis or gastroenteritis, those with ME panel testing similarly had longer antibiotic duration and more acyclovir initiation without a difference in acyclovir doses.

In this cohort, ME panel testing was not associated with decreases in hospital LOS or antimicrobial initiation and duration. This contrasts 4 recent studies that found statistically significant shorter LOS18,19  and antimicrobial therapy for children with ME panel testing1720 ; however, only Posnakoglou et al in a prospective randomized cohort study focused analyses on neonates, specifically infants with CSF pleocytosis. This is the first study evaluating LOS and antimicrobial usage with implementation of the ME panel in febrile well-appearing neonates.

Our study demonstrated higher odds of acyclovir initiation for patients with ME panel testing. Acyclovir use doubled between 1999 to 2012 from 7.6% to 15.6% in infants ≤60 days, predominantly in infants 30 to 60 days and those with milder disease severity.30  With previous CSF HSV PCR testing, infants <29 days had a twofold longer LOS than infants without.10  There was concern that prolonged acyclovir use during an HSV rule out made physicians perceive patients as more ill than infants not started on acyclovir, thereby leading to prolonged hospitalizations despite negative HSV results.10,30  In theory, for infants initiated on acyclovir without high-risk features,31  the fast turnaround time of the ME panel test should decrease infant exposure time to acyclovir and mitigate prolonged hospitalizations15 ; however, it may lead to more single doses given if providers initiate acyclovir expecting ME panel results before the second dose. The timing of ME panel results may affect provider antimicrobial decision-making. In our sample, we noted a difference in acyclovir duration when comparing infants with ME panel testing in the ED, added on while as an inpatient, and with no ME panel testing done. Although this would support the hypothesis that ME panel testing would shorten acyclovir duration, it should be interpreted with caution as it is a subgroup analysis of a secondary outcome. Future studies with a larger sample size of infants are needed to evaluate acyclovir use changes with ME panel testing.

The greatest potential benefit of a positive viral ME panel result may be decreasing LOS. In our sample with 24% positive ME panel results, we did not demonstrate this. However, in a larger cohort study, Aronson et al demonstrated a one-third shorter LOS with positive CSF enteroviral testing.32  There is low risk for bacterial meningitis in children with a positive enteroviral PCR.32 Perhaps with a low-risk fever workup5  and a positive ME panel for a viral agent (eg, EV), providers might be comfortable observing off antimicrobial agents or consider discharge from the ED if the patient is stable. During the study period, 1 infant had a positive EV result on the ME panel and a CSF culture positive for E. coli; this may have impacted provider decision-making around a positive viral ME panel.

There is no consensus on when the ME panel should be performed in the evaluation of infants. Blaschke et al demonstrated that the ME panel is highly sensitive and outperformed conventional testing in infant CSF samples.21  Other studies have demonstrated its utility in detection of uncommon neonatal pathogens such as Listeria monocytogenes33  or diagnosing pathogens missed by conventional methods.34  It is unknown whether the ME panel is most useful in practice if it is universally performed on all infants undergoing CSF testing or only those with concerning CSF results (eg, positive Gram stain, pleocytosis). Posnakoglou et al demonstrated a shorter antimicrobial duration and hospital LOS in infants ≤3 months with CSF pleocytosis with ME panel testing.19  However, Byington et al showed that many infants with EV meningitis lack CSF pleocytosis; therefore, the yield of molecular diagnostic testing may also be high in children who lack a pleocytosis.35  In our study, there was no difference between median CSF WBC counts between those with and without ME panel testing. Standardizing the indication for ME panel testing in febrile infants may help address utilization disparities and reduce differential antimicrobial use.

This study has several limitations. First, as a retrospective study there is risk for confounding by indication36  for LOS, ME panel testing, and antimicrobial use. We attempted to ameliorate potential confounding through our multivariable and subgroup analyses. Second, during the study period, there were no formal guidelines at our institution for febrile infant evaluation and treatment. Decisions regarding LOS and antimicrobial use were provider dependent. We cannot postulate the extent to which our negative findings were driven by a concern for bacteremia and antibiotic decisions were based on pending blood cultures.37  Third, we cannot determine why providers ordered the ME panel and how they interpreted results without formal guidelines and education for ordering physicians; as such, result interpretation and subsequent actions likely varied. Patel et al discusses that rapid diagnostics only improve clinical outcomes if they are coupled with stewardship teams that properly interpret results and apply them to treatment decisions.38  The fact that the ME panel failed to detect 3 cases of E.coli meningitis during the study period might have affected provider perceptions of the test. Fourth, we used WBC count as a covariate in our multivariable analyses, which is not a sensitive indicator of invasive bacterial infections in febrile infants39 ; however, during the study period, inflammatory markers had variable turnaround times and were inconsistently used by providers and hence were not incorporated in our multivariable analyses. Lastly, there is no standardized method to measure antimicrobial utilization; we defined a single dose of antimicrobial administration as 1 hour of duration of treatment, which may not accurately reflect antimicrobial utilization.40 

In our sample, ME panel testing was not associated with decreases in hospital LOS or antimicrobial use. It was associated with acyclovir initiation. Additional clinician guidance, longer use of the ME panel, and a larger cohort study may be required to see an impact of ME panel use on hospital LOS and clinician decision making. These factors should be considered in determining costs/benefits of adopting ME panel use in the evaluation of febrile well-appearing infants.

FUNDING: There external funding.

CONFLICT OF INTEREST DISCLOSURES: Dr Joseph Campos is on advisory boards of two diagnostic product manufacturers (GenMark Diagnostics, Inc, Carlsbad, CA and Accelerate Diagnostics, Inc, Tucson, AZ), neither of which has any relationship to the company that manufactures the BioFire multiplex polymerase chain reaction product Children’s National Hospital uses for diagnosis of meningitis/encephalitis. There are no conflicts of interest to be reported for the other authors.

Dr DesPain conceptualized and designed the study, designed the data collection instrument, carried out the analyses and interpretation of data, and drafted and revised the manuscript; Mr Pearman acquired and cleaned the data, designed the data collection instrument, and critically reviewed the manuscript; Drs Hamdy and Campos conceptualized and designed the study and critically reviewed the manuscript; Ms Badolato acquired and cleaned the data, assisted with the analyses and interpretation of data, and critically reviewed and revised the manuscript; Dr Breslin conceptualized and designed the study, assisted with analyses and interpretation of data, and critically reviewed and revised the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

1.
Aronson
PL
,
Thurm
C
,
Alpern
ER
, et al
;
Febrile Young Infant Research Collaborative
.
Variation in care of the febrile young infant <90 days in US pediatric emergency departments
.
Pediatrics
.
2014
;
134
(
4
):
667
677
2.
Jain
S
,
Cheng
J
,
Alpern
ER
, et al
.
Management of febrile neonates in US pediatric emergency departments
.
Pediatrics
.
2014
;
133
(
2
):
187
195
3.
Bachur
RG
,
Harper
MB
.
Predictive model for serious bacterial infections among infants younger than 3 months of age
.
Pediatrics
.
2001
;
108
(
2
):
311
316
4.
Baker
MD
,
Bell
LM
,
Avner
JR
.
Outpatient management without antibiotics of fever in selected infants
.
N Engl J Med
.
1993
;
329
(
20
):
1437
1441
5.
Kuppermann
N
,
Dayan
PS
,
Levine
DA
, et al
;
Febrile Infant Working Group of the Pediatric Emergency Care Applied Research Network (PECARN)
.
A clinical prediction rule to identify febrile infants 60 days and younger at low risk for serious bacterial infections
.
JAMA Pediatr
.
2019
;
173
(
4
):
342
351
6.
Dagan
R
,
Powell
KR
,
Hall
CB
,
Menegus
MA
.
Identification of infants unlikely to have serious bacterial infection although hospitalized for suspected sepsis
.
J Pediatr
.
1985
;
107
(
6
):
855
860
7.
Pantell
RH
,
Roberts
KB
,
Adams
WG
, et al
;
Subcommittee on Febrile Infants
.
Evaluation and management of well-appearing febrile infants 8 to 60 days old
.
Pediatrics
.
2021
;
148
(
2
):
e2021052228
8.
Cohen
DM
,
Lorch
SA
,
King
RL
,
Hodinka
RL
,
Cohn
KA
,
Shah
SS
.
Factors influencing the decision to test young infants for herpes simplex virus infection
.
Pediatr Infect Dis J
.
2007
;
26
(
12
):
1156
1158
9.
Cruz
AT
,
Freedman
SB
,
Kulik
DM
, et al
;
HSV Study Group of the Pediatric Emergency Medicine Collaborative Research Committee
.
Herpes simplex virus infection in infants undergoing meningitis evaluation
.
Pediatrics
.
2018
;
141
(
2
):
e20171688
10.
Shah
SS
,
Volk
J
,
Mohamad
Z
,
Hodinka
RL
,
Zorc
JJ
.
Herpes simplex virus testing and hospital length of stay in neonates and young infants
.
J Pediatr
.
2010
;
156
(
5
):
738
743
11.
Shah
SS
,
Aronson
PL
,
Mohamad
Z
,
Lorch
SA
.
Delayed acyclovir therapy and death among neonates with herpes simplex virus infection
.
Pediatrics
.
2011
;
128
(
6
):
1153
1160
12.
BioFire Diagnostics
.
FilmArray Meningitis/Encephalitis (ME) Panel Instruction Booklet RF-Y-ASY-0118
.
Salt Lake City, UT
:
BioFire Diagnostics
;
2016
13.
Leber
AL
,
Everhart
K
,
Balada-Llasat
JM
, et al
.
Multicenter evaluation of BioFire FilmArray meningitis/encephalitis panel for detection of bacteria, viruses, and yeast in cerebrospinal fluid specimens
.
J Clin Microbiol
.
2016
;
54
(
9
):
2251
2261
14.
Liesman
RM
,
Strasburg
AP
,
Heitman
AK
,
Theel
ES
,
Patel
R
,
Binnicker
MJ
.
Evaluation of a commercial multiplex molecular panel for diagnosis of infectious meningitis and encephalitis
.
J Clin Microbiol
.
2018
;
56
(
4
):
e01927
e17
15.
Messacar
K
,
Breazeale
G
,
Robinson
CC
,
Dominguez
SR
.
Potential clinical impact of the film array meningitis encephalitis panel in children with suspected central nervous system infections
.
Diagn Microbiol Infect Dis
.
2016
;
86
(
1
):
118
120
16.
Naccache
SN
,
Lustestica
M
,
Fahit
M
,
Mestas
J
,
Dien Bard
J
.
One year in the life of a rapid syndromic panel for meningitis/encephalitis: a pediatric tertiary care facility’s Experience
.
J Clin Microbiol
.
2018
;
56
(
5
):
e01940
e17
17.
McDonald
D
,
Gagliardo
C
,
Chiu
S
,
Di Pentima
MC
.
Impact of a rapid diagnostic meningitis/encephalitis panel on antimicrobial use and clinical outcomes in children
.
Antibiotics (Basel)
.
2020
;
9
(
11
):
822
18.
Nabower
AM
,
Miller
S
,
Biewen
B
, et al
.
Association of the FilmArray meningitis/encephalitis panel with clinical management
.
Hosp Pediatr
.
2019
;
9
(
10
):
763
769
19.
Posnakoglou
L
,
Siahanidou
T
,
Syriopoulou
V
,
Michos
A
.
Impact of cerebrospinal fluid syndromic testing in the management of children with suspected central nervous system infection
.
Eur J Clin Microbiol Infect Dis
.
2020
;
39
(
12
):
2379
2386
20.
Hagen
A
,
Eichinger
A
,
Meyer-Buehn
M
,
Schober
T
,
Huebner
J
.
Comparison of antibiotic and acyclovir usage before and after the implementation of an on-site FilmArray meningitis/encephalitis panel in an academic tertiary pediatric hospital: a retrospective observational study
.
BMC Pediatr
.
2020
;
20
(
1
):
56
21.
Blaschke
AJ
,
Holmberg
KM
,
Daly
JA
, et al
.
Retrospective evaluation of infants aged 1 to 60 days with residual cerebrospinal fluid (CSF) tested using the FilmArray meningitis/encephalitis (ME) panel
.
J Clin Microbiol
.
2018
;
56
(
7
):
e00277
e18
22.
WHO
.
Thermal Control of the Newborn: a Practical Guide
.
Geneva
:
World Health Organization
;
1993
23.
Baskin
MN
,
Goh
XL
,
Heeney
MM
,
Harper
MB
.
Bacteremia risk and outpatient management of febrile patients with sickle cell disease
.
Pediatrics
.
2013
;
131
(
6
):
1035
1041
24.
Harris
PA
,
Taylor
R
,
Thielke
R
,
Payne
J
,
Gonzalez
N
,
Conde
JG
.
Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support
.
J Biomed Inform
.
2009
;
42
(
2
):
377
381
25.
Harris
PA
,
Taylor
R
,
Minor
BL
, et al
.
The REDCap consortium
.
Building an international community of software partners
.
J Biomed Inform
.
2019
;
95
:
103208
26.
Baker
MD
,
Bell
LM
,
Avner
JR
.
Outpatient management without antibiotics of fever in selected infants
.
N Engl J Med
.
1993
;
329
(
20
):
1437
1441
27.
Thomson
J
,
Sucharew
H
,
Cruz
AT
, et al
;
Pediatric Emergency Medicine Collaborative Research Committee (PEM CRC) HSV Study Group
.
Cerebrospinal Fluid Reference Values for Young Infants Undergoing Lumbar Puncture
.
Pediatrics
.
2018
;
141
(
3
):
e20173405
28.
Kestenbaum
LA
,
Ebberson
J
,
Zorc
JJ
,
Hodinka
RL
,
Shah
SS
.
Defining cerebrospinal fluid white blood cell count reference values in neonates and young infants
.
Pediatrics
.
2010
;
125
(
2
):
257
264
29.
Lyons
TW
,
Cruz
AT
,
Freedman
SB
, et al
;
Pediatric Emergency Medicine Clinical Research Network (PEM CRC) Herpes Simplex Virus Study Group
.
Interpretation of cerebrospinal fluid white blood cell counts in young infants with a traumatic lumbar puncture
.
Ann Emerg Med
.
2017
;
69
(
5
):
622
631
30.
Gaensbauer
JT
,
Birkholz
M
,
Pfannenstein
K
,
Todd
JK
.
Herpes PCR testing and empiric acyclovir use beyond the neonatal period
.
Pediatrics
.
2014
;
134
(
3
):
e651
e656
31.
Brower
LH
,
Wilson
PM
,
Murtagh Kurowski
E
, et al
.
Using quality improvement to implement a standardized approach to neonatal herpes simplex virus
.
Pediatrics
.
2019
;
144
(
2
):
e20180262
32.
Aronson
PL
,
Lyons
TW
,
Cruz
AT
, et al
;
Pediatric Emergency Medicine Clinical Research Network (PEM CRC) Herpes Simplex Virus (HSV) Study Group
.
Impact of enteroviral polymerase chain reaction testing on length of stay for infants 60 days old or younger
.
J Pediatr
.
2017
;
189
:
169
174.e2
33.
Anand
V
,
Holmen
J
,
Neely
M
,
Pannaraj
PS
,
Dien Bard
J
.
The brief case: neonatal meningitis caused by listeria monocytogenes diagnosed by multiplex molecular panel
.
J Clin Microbiol
.
2016
;
54
(
12
):
2846
2849
34.
Wootton
SH
,
Aguilera
E
,
Salazar
L
,
Hemmert
AC
,
Hasbun
R
.
Enhancing pathogen identification in patients with meningitis and a negative Gram stain using the BioFire FilmArray(®) Meningitis/Encephalitis panel
.
Ann Clin Microbiol Antimicrob
.
2016
;
15
(
1
):
26
35.
Byington
CL
,
Taggart
EW
,
Carroll
KC
,
Hillyard
DR
.
A polymerase chain reaction-based epidemiologic investigation of the incidence of nonpolio enteroviral infections in febrile and afebrile infants 90 days and younger
.
Pediatrics
.
1999
;
103
(
3
):
E27
36.
Kyriacou
DN
,
Lewis
RJ
.
Confounding by indication in clinical research
.
JAMA
.
2016
;
316
(
17
):
1818
1819
37.
Biondi
EA
,
Mischler
M
,
Jerardi
KE
, et al
;
Pediatric Research in Inpatient Settings (PRIS) Network
.
Blood culture time to positivity in febrile infants with bacteremia
.
JAMA Pediatr
.
2014
;
168
(
9
):
844
849
38.
Patel
R
,
Fang
FC
.
Diagnostic stewardship: opportunity for a laboratory-infectious diseases partnership
.
Clin Infect Dis
.
2018
;
67
(
5
):
799
801
39.
Cruz
AT
,
Mahajan
P
,
Bonsu
BK
, et al
;
Febrile Infant Working Group of the Pediatric Emergency Care Applied Research Network
.
Accuracy of complete blood cell counts to identify febrile infants 60 days or younger with invasive bacterial infections
.
JAMA Pediatr
.
2017
;
171
(
11
):
e172927
40.
Ruiz-Ramos
J
,
Vallvé Alcón
E
,
Moreno Ramos
F
,
Santolaya-Perrín
R
,
Guardiola Tey
JM
.
Antimicrobial stewardship programs in emergency departments: how do we measure antimicrobial use? A systematic review
.
Rev Esp Quimioter
.
2021
;
34
(
6
):
610
617

Supplementary data