Determining infection etiology can be difficult because viral and bacterial diseases often manifest similarly. A host protein test that computationally integrates the circulating levels of TNF-related apoptosis-induced ligand, interferon γ-induced protein-10, and C-reactive protein to differentiate between bacterial and viral infection (called MMBV) demonstrated high performance in multiple prospective clinical validation studies. Here, MMBV’s diagnostic accuracy is evaluated in febrile children for whom physicians were uncertain about etiology when applied at the physician’s discretion.
Patients aged 3 months to 18 years were retrospectively recruited (NCT03075111; SPIRIT study; 2014–2017). Emergency department physician's etiological suspicion and certainty level were recorded in a questionnaire at blood-draw. MMBV results are based on predefined score thresholds: viral/non-bacterial etiology (0 ≤ score <35), equivocal (35 ≤ score ≤65), and bacterial or coinfection (65 < score ≤100). Reference standard etiology (bacterial/viral/indeterminate) was adjudicated by 3 independent experts based on all available patient data. Experts were blinded to MMBV. MMBV and physician’s etiological suspicion were assessed against the reference standard.
Of 3003 potentially eligible patients, the physicians were uncertain about infection etiology for 736 of the cases assigned a reference standard (128 bacterial, 608 viral). MMBV performed with sensitivity 89.7% (96/107; 95% confidence interval 82.4–94.3) and specificity 92.6% (498/538; 95% confidence interval 90.0–94.5), significantly outperforming physician's etiological suspicion (sensitivity 49/74 = 66.2%, specificity 265/368 = 72.0%; P < .0001). MMBV equivocal rate was 12.4% (91/736).
MMBV was more accurate in determining etiology compared with physician's suspicion and had high sensitivity and specificity according to the reference standard.
It is often challenging to determine the infectious etiology of fever in pediatric patients presenting to the ED. Currently available tools can take too long to provide a result or provide nondefinitive results, leading to etiological uncertainty and antibiotic misuse.
A test based on TNF-related apoptosis-induced ligand/interferon γ-induced protein-10/C-reactive protein distinguishes bacterial from viral infection with high sensitivity and specificity relative to ED physician’s initial etiological suspicion. MeMed BV (MMBV) has the potential to assist the physician in real-time decision-making.
Diagnostic uncertainty is inherent to the medical profession,1 with a common setting being the determination of infectious disease etiology.2 The most prevalent infections, namely respiratory tract infections, can be difficult to diagnose because the signs and symptoms of viral and bacterial disease oftentimes manifest similarly.3,4 A recent study revealed that physicians who exhibit a low tolerance for diagnostic uncertainty are more likely to overprescribe antibiotics and broad-spectrum antibiotics,5 and additional studies revealed that higher degrees of diagnostic uncertainty were correlative to higher rates of antibiotic prescription.6,7 A considerable portion of pediatric emergency department (ED) visits in the United States is due to infectious diseases.8 This everyday patient-physician encounter can be a setting of extensive antibiotic misuse, both unwarranted treatment of viral infections and missed bacterial infections that may have benefited from treatment.9–14
Within the ED, physicians’ presumptive diagnosis can be supported by additional tools aimed at determining etiology. Routinely used biomarkers are white blood cell count (WBC), absolute neutrophil count (ANC), C-reactive protein (CRP), and procalcitonin. However, these biomarkers have limited accuracy and are subject to variability between patients.15,16 Pathogen detection tools (eg, cultures and polymerase chain reaction [PCR]) cannot distinguish between the disease-causing agent and colonizers and can require a long time to produce results.17–22 Lastly, imaging assays applied during the ED visit, such as chest radiograph and thoracic ultrasound, are subject to different interpretations23,24 or are highly operator-dependent. Accordingly, new diagnostic tools that can assist physicians in accurate etiologic evaluation have the potential to significantly impact patient management and improve antibiotic stewardship.5–7,10–12
A host protein test indicative of bacterial versus viral likelihood (called MeMed BV [MMBV]), based on TNF-related apoptosis-induced ligand (TRAIL), interferon γ-induced protein-10 (IP-10), and CRP, has demonstrated high performance for differentiating bacterial from viral infection in multiple prospective validation studies.25–29
Here we evaluate MMBV’s diagnostic accuracy over a 3-year period when it was deployed within routine care at the physician's discretion in two 500-bed medical centers in Israel. In addition, we assess MMBV’s performance across a subpopulation of cases for whom physicians stated in a questionnaire that they were uncertain about infection etiology.
Methods
Patient Population
This retrospective clinical study enrolled patients at the ED or pediatric ward in 2 secondary medical centers (Hillel Yaffe Medical Center, Hadera, Israel and Bnai-Zion Medical Center, Haifa, Israel) between October 2014 and October 2017.
Inclusion criteria were age 3 months to 18 years, symptoms of acute infection with fever within a week prior to presentation, and MMBV ordered at the physician’s discretion as part of routine care to aid in differentiating between bacterial and viral infection.
Exclusion criteria were suspicion of gastrointestinal infection, patients with congenital or acquired immunodeficiency, a proven or suspected infection with hepatitis B virus or hepatitis C virus, another febrile illness within 3 weeks before sampling, hematologic malignancy, significant trauma or burns within the 7 days prior to sampling, and other illnesses that affect life expectancy and\or quality of life.
Upon ordering the MMBV test, physicians completed questionnaires intended for internal hospital use. Ethical clearance was granted by the Hillel Yaffe Medical Center and Bnai-Zion Medical Center Institutional Review Boards to retrospectively examine the questionnaires; informed consent was not required. This study was registered at ClinicalTrials.gov (NCT03075111).
Study Design
Blood samples for MMBV were obtained during the ED stay or the initial evaluation in the pediatric ward. Upon ordering MMBV, physicians were requested to complete a questionnaire documenting the suspected clinical indication at the time of blood draw and their level of certainty in the infection etiology that they suspected (Supplementary Fig 1). The following clinical syndromes were listed in the questionnaire: lower respiratory tract infection (LRTI), upper respiratory tract infection (URTI), fever without a source (FWS), gastrointestinal infection, urinary tract infection (UTI), and other infection. The physician’s etiological certainty was scored as follows: bacterial +++, bacterial ++, bacterial +, undecided, viral +, viral ++, viral +++. The questionnaire was filled out after obtaining medical history and physical examination, and physicians documented the extent of available clinical information at the time of questionnaire completion. MMBV results were provided to the physicians within hours to days from blood draw (see Index Test section below). The patients' demographic data, medical history, physical examination findings, and all ancillary testing results, including laboratory, microbiology, and imaging assays performed as part of routine care, were recorded in electronic case report forms (eCRFs).
The primary objective of the authors of the SPIRIT study (NCT03075111) was to evaluate the diagnostic accuracy of MMBV ordered as part of routine care management of febrile pediatric patients.
The following cohorts were defined and analyzed in this study:
The eligible cohort, comprising all eligible patients.
The analysis cohort, comprising patients who received a bacterial or viral reference standard label.
The low certainty cohort, comprising patients who received a bacterial or viral reference standard label and were documented by the physician as having uncertain etiology.
Reference Standard Based on Expert Adjudication
In the absence of a gold standard for determining bacterial versus viral etiology, the reference standard for infection diagnosis was generated based on expert panel adjudication in accordance with the National Health Service (NHS) Health Technology Assessment Guidelines for Evaluation of Diagnostic Tests.30 The experts were 3 pediatricians who independently assessed the case report form for each case. The experts were provided with all laboratory biomarkers taken as part of routine care, including WBC, ANC, and CRP. Of note, procalcitonin was not in routine use for children in Israel at the time of this study. After reviewing the eCRF, the experts assigned one of the following labels: bacterial (including a mixed bacterial and viral coinfection), viral, noninfectious, and indeterminate. Experts were blinded to their peers’ labels and to MMBV results. A reference standard of “bacterial” or “viral” required all 3 experts to assign the same label (unanimous adjudication). Cases that did not meet this criterion were classified as “indeterminate” reference standard.
Index Test (MMBV)
TRAIL and IP-10 were measured by using an enzyme-linked immunosorbent assay kit, ImmunoXpert (MeMed, Israel), and CRP was measured by using COBASc501. MMBV is a score ranging from 0 to 100 that computationally integrates TRAIL, IP-10, and CRP measurements using an algorithm derived previously25 and employed in all previous studies;26,27,31–33 ImmunoXpert software was used to calculate MMBV. Cutoffs were based on the manufacturer’s instructions for use, ie, MMBV <35 indicated viral infection or other nonbacterial condition, MMBV >65 indicated bacterial infection (including viral-bacterial coinfection), and 35 ≤ MMBV ≤65 was considered equivocal. Physicians were trained on the intended use and limitations of ImmunoXpert (see details from Instructions for Use in the Supplemental Information). Based on the training, physicians ordered MMBV at their discretion. The test was performed once daily during weekdays by an experienced technician within the medical center’s central laboratory, and so the result was often not received by the physician before antibiotic decision making. Of note, ImmunoXpert is no longer available, but MMBV can now be measured by an automated platform called MeMed Key (CE marked and Food and Drug Administration (FDA) cleared, i.e, can be legally commerialized in the European Union and in the US) that provides results from serum within 15 minutes; the scores generated by the 2 platforms have been established as comparable.34
Statistical Analysis
Sensitivity was defined as the number of cases with both a bacterial reference standard and a bacterial MMBV result (ie, true positive) divided by the number of cases with a bacterial reference standard (ie, true positive + false negative). Specificity was defined as the number of cases with both a viral reference standard and a viral MMBV result (ie, true negative) divided by the number of cases with a viral reference standard (ie, true negative + false positive). Positive predictive value (PPV) was defined as the number of cases with both a bacterial reference standard and a bacterial MMBV result (ie, true positive) divided by the number of cases with a bacterial MMBV result (ie, true positive + false positive). Negative predictive value (NPV) was defined as the number of cases with both a viral reference standard and a viral MMBV result (ie, true negative) divided by the number of cases with a viral result (ie, true negative + false negative). Equivocal MMBV scores (35 ≤ score ≤65) do not provide etiological information, and physicians are advised to employ other patient data in their decision making. Therefore, the percentage of cases with an equivocal MMBV score is reported, and these cases were not included in the calculation of diagnostic accuracy. The diagnostic accuracy of the physician's initial etiological suspicion as documented in a questionnaire was assessed in comparison with the reference standard; cases assigned as undecided in the questionnaire were removed from the calculation.
The McNemar’s test and the χ-squared test were used for comparing paired and unpaired proportions, respectively. Results were considered statistically significant when P < .05. P values < .001 are reported as P < .001 or marked *. P values < .0001 are reported as P < .0001 or marked **. Statistical analysis was performed by using Python version 3.9.4.
Results
Patient Characterization
The medical records of 3003 patients for whom MMBV was ordered as part of routine management were reviewed. Of these, 1768 patients were enrolled at Hillel Yaffe Medical Center and 1235 at Bnai-Zion Medical Center. Of them, 2155 patients met the inclusion criteria for the study (Fig 1); 1277 were assigned viral and 284 bacterial reference standard etiologies.
The median age of the eligible cohort (n = 2155) was 1.8 years (interquartile range [IQR] 3.7), 54% were male, and the median time from symptoms onset until the MMBV test was ordered was 3 days (IQR 3; Table 1). The majority of MMBV tests (95.3%) were ordered in the ED as part of the initial evaluation. The hospitalization rate was 48.9% (1050 patients), with the median hospitalization duration being 3 days (IQR 2). The most frequent discharge diagnosis was unspecified viral infection (37.1%). LRTI and URTI were the discharge diagnoses for 41.4% of patients (15.7% and 25.7%, respectively). CRP, WBC, and blood cultures were routinely obtained for the majority of patients, 100% (2155/2155), 99.7% (2148/2155), and 93.1% (2006/2155), respectively (Supplemental Table 1). Chest radiographs were performed for 80.6% (174/216) of the suspected LRTI cohort. Ultrasounds were performed for 46.4% (51/110) of patients with suspected UTI.
. | Eligible Cohort (n = 2155) . | Susp LRTI (n = 216) . | Susp URTI (n = 712) . | Susp FWS (n = 785) . | Susp UTI (n = 110) . | Susp Other (n = 168) . | Missing Questionnaire (n = 164) . |
---|---|---|---|---|---|---|---|
Demographics | |||||||
Age (y), median (IQR) | 1.8 (3.7) | 2.5 (4.5) | 1.6 (2.6) | 2.0 (4.0) | 2.2 (4.0) | 2.0 (4.6) | 2.0 (4.5) |
Sex (male), n (%) | 1162 (54.0%) | 121 (56.0%) | 429 (60.4%) | 416 (53.1%) | 33 (30.0%) | 93 (55.4%) | 70 (42.7%) |
Signs and symptoms, median (IQR) | |||||||
Time from symptoms onset (d) | 3.0 (3.0) | 3.0 (3.0) | 3.0 (3.0) | 2.0 (3.0) | 2.0 (3.0) | 2.0 (3.0) | 3.0 (3.0) |
Maximal temperature (C) | 39.5 (1.2) | 39.4 (1.3) | 39.5 (1.1) | 39.5 (1.1) | 39.6 (1.0) | 39.2 (1.2) | 39.4 (1.1) |
Hospitalization | |||||||
Hospitalization rate, n (%) | 1048 (48.9%) | 128 (60.1%) | 320 (45.1%) | 339 (43.3%) | 64 (58.7%) | 110 (65.9%) | 87 (53.4%) |
Hospitalization duration (d), median (IQR) | 3.0 (2.0) | 3.0 (2.2) | 3.0 (2.0) | 3.0 (2.0) | 4.0 (1.2) | 4.0 (3.0) | 3.0 (2.0) |
Seasonality, n (%) | |||||||
Fall | 544 | 37 (7.2%) | 168 (32.5%) | 231 (44.7%) | 30 (5.8%) | 51 (9.9%) | 27 |
Winter | 544 | 86 (18.3%) | 202 (43.1%) | 125 (26.7%) | 21 (4.5%) | 35 (7.5%) | 75 |
Spring | 484 | 53 (11.7%) | 179 (39.5%) | 165 (36.4%) | 23 (5.1%) | 33 (7.3%) | 31 |
Summer | 581 | 40 (7.3%) | 163 (29.6%) | 262 (47.6%) | 36 (6.5%) | 49 (8.9%) | 31 |
Discharge diagnosis, n (%) | |||||||
LRTI | 339 (15.7%) | 145 (67.1%) | 102 (14.3%) | 58 (7.4%) | 6 (5.5%) | 7 (4.2%) | 21 (12.8%) |
URTI | 554 (25.7%) | 31 (14.4%) | 302 (42.4%) | 98 (12.5%) | 20 (18.2%) | 51 (30.4%) | 52 (31.7%) |
Fever without source | 26 (1.2%) | 1 (0.5%) | 6 (0.8%) | 17 (2.2%) | 0 (0.0%) | 1 (0.6%) | 1 (0.6%) |
UTI | 105 (4.9%) | 3 (1.4%) | 18 (2.5%) | 30 (3.8%) | 46 (41.8%) | 6 (3.6%) | 2 (1.2%) |
Gastrointestinal | 110 (5.1%) | 5 (2.3%) | 22 (3.1%) | 54 (6.9%) | 8 (7.3%) | 12 (7.1%) | 9 (5.5%) |
CNS | 34 (1.6%) | 0 (0.0%) | 3 (0.4%) | 16 (2.0%) | 0 (0.0%) | 13 (7.7%) | 2 (1.2%) |
Musculoskeletal, skin, and soft tissue | 42 (1.9%) | 0 (0.0%) | 8 (1.1%) | 11 (1.4%) | 1 (0.9%) | 17 (10.1%) | 5 (3.0%) |
Unspecified viral infection | 800 (37.1%) | 25 (11.6%) | 221 (31.0%) | 439 (55.9%) | 24 (21.8%) | 32 (19.0%) | 59 (36.0%) |
Bacteremia | 24 (1.1%) | 1 (0.5%) | 7 (1.0%) | 12 (1.5%) | 0 (0.0%) | 3 (1.8%) | 1 (0.6%) |
Other | 100 (4.6%) | 1 (0.5%) | 21 (2.9%) | 39 (5.0%) | 4 (3.6%) | 24 (14.3%) | 11 (6.7%) |
Noninfectious | 21 (1.0%) | 4 (1.9%) | 2 (0.3%) | 11 (1.4%) | 1 (0.9%) | 2 (1.2%) | 1 (0.6%) |
. | Eligible Cohort (n = 2155) . | Susp LRTI (n = 216) . | Susp URTI (n = 712) . | Susp FWS (n = 785) . | Susp UTI (n = 110) . | Susp Other (n = 168) . | Missing Questionnaire (n = 164) . |
---|---|---|---|---|---|---|---|
Demographics | |||||||
Age (y), median (IQR) | 1.8 (3.7) | 2.5 (4.5) | 1.6 (2.6) | 2.0 (4.0) | 2.2 (4.0) | 2.0 (4.6) | 2.0 (4.5) |
Sex (male), n (%) | 1162 (54.0%) | 121 (56.0%) | 429 (60.4%) | 416 (53.1%) | 33 (30.0%) | 93 (55.4%) | 70 (42.7%) |
Signs and symptoms, median (IQR) | |||||||
Time from symptoms onset (d) | 3.0 (3.0) | 3.0 (3.0) | 3.0 (3.0) | 2.0 (3.0) | 2.0 (3.0) | 2.0 (3.0) | 3.0 (3.0) |
Maximal temperature (C) | 39.5 (1.2) | 39.4 (1.3) | 39.5 (1.1) | 39.5 (1.1) | 39.6 (1.0) | 39.2 (1.2) | 39.4 (1.1) |
Hospitalization | |||||||
Hospitalization rate, n (%) | 1048 (48.9%) | 128 (60.1%) | 320 (45.1%) | 339 (43.3%) | 64 (58.7%) | 110 (65.9%) | 87 (53.4%) |
Hospitalization duration (d), median (IQR) | 3.0 (2.0) | 3.0 (2.2) | 3.0 (2.0) | 3.0 (2.0) | 4.0 (1.2) | 4.0 (3.0) | 3.0 (2.0) |
Seasonality, n (%) | |||||||
Fall | 544 | 37 (7.2%) | 168 (32.5%) | 231 (44.7%) | 30 (5.8%) | 51 (9.9%) | 27 |
Winter | 544 | 86 (18.3%) | 202 (43.1%) | 125 (26.7%) | 21 (4.5%) | 35 (7.5%) | 75 |
Spring | 484 | 53 (11.7%) | 179 (39.5%) | 165 (36.4%) | 23 (5.1%) | 33 (7.3%) | 31 |
Summer | 581 | 40 (7.3%) | 163 (29.6%) | 262 (47.6%) | 36 (6.5%) | 49 (8.9%) | 31 |
Discharge diagnosis, n (%) | |||||||
LRTI | 339 (15.7%) | 145 (67.1%) | 102 (14.3%) | 58 (7.4%) | 6 (5.5%) | 7 (4.2%) | 21 (12.8%) |
URTI | 554 (25.7%) | 31 (14.4%) | 302 (42.4%) | 98 (12.5%) | 20 (18.2%) | 51 (30.4%) | 52 (31.7%) |
Fever without source | 26 (1.2%) | 1 (0.5%) | 6 (0.8%) | 17 (2.2%) | 0 (0.0%) | 1 (0.6%) | 1 (0.6%) |
UTI | 105 (4.9%) | 3 (1.4%) | 18 (2.5%) | 30 (3.8%) | 46 (41.8%) | 6 (3.6%) | 2 (1.2%) |
Gastrointestinal | 110 (5.1%) | 5 (2.3%) | 22 (3.1%) | 54 (6.9%) | 8 (7.3%) | 12 (7.1%) | 9 (5.5%) |
CNS | 34 (1.6%) | 0 (0.0%) | 3 (0.4%) | 16 (2.0%) | 0 (0.0%) | 13 (7.7%) | 2 (1.2%) |
Musculoskeletal, skin, and soft tissue | 42 (1.9%) | 0 (0.0%) | 8 (1.1%) | 11 (1.4%) | 1 (0.9%) | 17 (10.1%) | 5 (3.0%) |
Unspecified viral infection | 800 (37.1%) | 25 (11.6%) | 221 (31.0%) | 439 (55.9%) | 24 (21.8%) | 32 (19.0%) | 59 (36.0%) |
Bacteremia | 24 (1.1%) | 1 (0.5%) | 7 (1.0%) | 12 (1.5%) | 0 (0.0%) | 3 (1.8%) | 1 (0.6%) |
Other | 100 (4.6%) | 1 (0.5%) | 21 (2.9%) | 39 (5.0%) | 4 (3.6%) | 24 (14.3%) | 11 (6.7%) |
Noninfectious | 21 (1.0%) | 4 (1.9%) | 2 (0.3%) | 11 (1.4%) | 1 (0.9%) | 2 (1.2%) | 1 (0.6%) |
Seasons definition: fall, September to November; winter, December to February; spring, March to May; summer, June to August.
IQR, interquartile range; LRTI, lower respiratory tract infection; URTI, upper respiratory tract infection; UTI, urinary tract infection; CNS, central nervous system.
Diagnostic Accuracy of MMBV
In the analysis cohort (n = 1561), MMBV distinguished bacterial (including coinfection) from viral infection with a sensitivity of 84.9% (203/239; 95% confidence interval [CI]: 79.8–89.0), a specificity of 93.1% (1059/1137; 95% CI 91.5–94.5), a PPV of 72.2% (203/281; 95% CI 66.7–77.2), and an NPV of 96.7% (1059/1095; 95% CI 95.5–97.6). The equivocal rate was 11.9% (185/1561). Notably, among patients discharged with LRTI, MMBV attained a sensitivity of 91.3%, (63/69; 95% CI 82%–96.3%), a specificity of 94.4% (102/108; 95% CI 88.2–97.7), a PPV of 91.3% (63/69; 95% CI 82%–96.3%), and an NPV of 94.4% (102/108; 95% CI 88.2–97.7). The equivocal rate for this sub-cohort was 7.8% (15/192).
Physician Initial Etiological Suspicion and Degree of Certainty
Physicians completed the questionnaire field about suspected clinical syndrome in 1991/2155 cases (92.4%), and the field about etiological certainty in 1926/2155 cases (89.4%). The most frequent clinical indications in which the physician ordered the test were fever without source (FWS, 39.4%), URTI (35.8%), and LRTI (10.8%; Fig 2A). Only 2.2% of patients for whom the physician initially suspected FWS according to the questionnaire were discharged with the diagnosis of FWS. Of the patients with suspected LRTI, 67.1% were discharged with the diagnosis of LRTI.
Across the 3 years of the study, 51% of MMBV tests were ordered during fall and winter seasons. The physicians documented suspected respiratory tract infections (LRTI or URTI) more commonly during winter months (December to February) as the suspected clinical indication, whereas suspected FWS was prevalent during summer months (June to August; Fig 2B). The rate of tests taken for UTI and other indications was constant throughout the year.
Of the 1926 cases for which the physician reported their degree of certainty in initial etiological suspicion, 277 (14.4%) were scored with a high level of certainty (bacterial+++/viral+++), and 646 (33.5%) were scored with a medium level of certainty (bacterial++/viral++; Fig 3). The remaining 1003 patients (52% of the 1926 questionnaires) were reported by the physician as cases with uncertain etiology (bacterial+/viral+/undecided). Comparing the subgroup of cases with uncertain etiology (n = 1003) to the subgroup of cases with medium/high certainty (n = 923), there was an enrichment of suspected FWS (426/1003 = 42.5% compared with 269/923 = 29.1%, respectively; P < .0001) and a diminished representation of URTI cases (290/1003 = 28.9% compared with 381/923 = 41.3%, respectively; P < .0001).
MMBV Diagnostic Accuracy in Comparison With the Physician’s Etiological Suspicion
MMBV’s diagnostic accuracy and that of the physician’s initial etiological suspicion were assessed among the patients with a bacterial or viral reference standard for whom the physician had completed the relevant questionnaire field (n = 1410). MMBV outperformed in both sensitivity (178/210 = 84.8% vs 125/198 = 63.1%, respectively; P < .0001) and specificity (956/1027 = 93.1% vs 743/918 = 80.9%, respectively; P < .0001; Table 2, Supplementary Figure 2). In a sub-analysis of age groups (3m ≤ age <9m, 9m ≤ age <18m, 18m ≤ age <3y, 3y ≤ age <7y, 7y ≤ age <12y, and 12y ≤ age <18y), MMBV outperformed in sensitivity and/or specificity (Supplementary Figure 3).
. | . | Sensitivity . | Specificity . | PPV . | NPV . | Equivocal Rate (%) . | Reference to Supplemental Fig . |
---|---|---|---|---|---|---|---|
Eligible cohort, n = 1410 | MMBV | 84.8 (79.2–89.0) | 93.1 (91.4–94.5) | 71.5 (65.6–76.7) | 96.8 (95.5–97.7) | 12.3 | Supplementary Figure 2 |
Physician | 63.1 (56.2–69.5) | 80.9 (78.3–83.3) | 41.7 (36.2–47.3) | 91.0 (88.9–92.8) | 20.9 | ||
Patients for whom laboratory tests were available, n = 76 | MMBV | 84.2 (61.6–95.3) | 91.5 (79.5–97.2) | 80.0 (57.8–92.5) | 93.5 (81.8–98.4) | 13.2 | Supplementary Figure 4 |
Physician | 75.0 (52.8–89.2) | 75.6 (61.2–85.9) | 57.7 (38.9–74.5) | 87.2 (72.8–94.9) | 14.5 | ||
Low certainty cohort, n = 736 | MMBV | 89.7 (82.4–94.3) | 92.6 (90.0–94.5) | 70.6 (62.4–77.6) | 97.8 (96.1–98.8) | 12.4 | Supplementary Figure 5 |
Physician | 66.2 (54.8–76.0) | 72.0 (67.2–76.4) | 32.2 (25.3–40) | 91.4 (87.5–94.1) | 39.9 |
. | . | Sensitivity . | Specificity . | PPV . | NPV . | Equivocal Rate (%) . | Reference to Supplemental Fig . |
---|---|---|---|---|---|---|---|
Eligible cohort, n = 1410 | MMBV | 84.8 (79.2–89.0) | 93.1 (91.4–94.5) | 71.5 (65.6–76.7) | 96.8 (95.5–97.7) | 12.3 | Supplementary Figure 2 |
Physician | 63.1 (56.2–69.5) | 80.9 (78.3–83.3) | 41.7 (36.2–47.3) | 91.0 (88.9–92.8) | 20.9 | ||
Patients for whom laboratory tests were available, n = 76 | MMBV | 84.2 (61.6–95.3) | 91.5 (79.5–97.2) | 80.0 (57.8–92.5) | 93.5 (81.8–98.4) | 13.2 | Supplementary Figure 4 |
Physician | 75.0 (52.8–89.2) | 75.6 (61.2–85.9) | 57.7 (38.9–74.5) | 87.2 (72.8–94.9) | 14.5 | ||
Low certainty cohort, n = 736 | MMBV | 89.7 (82.4–94.3) | 92.6 (90.0–94.5) | 70.6 (62.4–77.6) | 97.8 (96.1–98.8) | 12.4 | Supplementary Figure 5 |
Physician | 66.2 (54.8–76.0) | 72.0 (67.2–76.4) | 32.2 (25.3–40) | 91.4 (87.5–94.1) | 39.9 |
PPV, positive predictive value; NPV, negative predictive value.
For 76/1410 patients, physicians already had WBC and CRP results available at the time of ordering MMBV. In this sub-cohort, MMBV demonstrated significantly higher specificity as compared with the physician’s initial etiological suspicion (43/47 = 91.5% vs 34/45 = 75.6%, respectively; P = .04; Table 2, Supplementary Figure 4).
MMBV Diagnostic Accuracy in Comparison With the Physician’s Etiological Suspicion for Cases With Uncertain Etiology
Among the 1003 cases documented by the physician as having uncertain etiology (Fig 3), 736 were assigned a bacterial or viral reference standard. In this low certainty cohort (n = 736), MMBV yielded a sensitivity of 89.7% (96/107; 95% CI 82.4–94.3), a specificity of 92.6% (498/538; 95% CI 90.0–94.5), a PPV of 70.6% (96/136; 95% CI 62.4–77.6), and an NPV of 97.8% (498/509; 95% CI 96.1–98.8). The equivocal rate was 12.4% (91/736). Supplementary Table 2 details the 11 cases with a bacterial reference standard and a viral MMBV score (false negatives). The physicians’ initial etiological suspicion attained a sensitivity of 66.2% (49/74; 95% CI 54.8–76) and a specificity of 72.0% (265/368; 95% CI 67.2–76.4; Table 2, Supplementary Figure 5). MMBV significantly outperformed the physicians’ initial etiological suspicion in both sensitivity and specificity (P < .001 and P < .0001, respectively). Significant differences were maintained when diagnostic accuracy was assessed on the basis of a paired cohort (ie, in which MMBV equivocal and physician undecided cases were removed from both calculations, n = 393; Supplementary Figure 6).
Discussion
This study evaluated MMBV’s diagnostic accuracy in a population of febrile children for whom the test was ordered at the physicians’ discretion during the initial examination. Additionally, MMBV’s diagnostic accuracy was compared with the physician's initial etiological suspicion. MMBV significantly outperformed the physician in the determination of infection etiology, even in cases in which the physician had laboratory tests available at the initial examination. These findings support that early availability of the MMBV test result during patient evaluation in the ED adds value to the physician's initial suspicion and has the potential to support medical decision making, thereby potentially expediting triage and reducing additional workup.
The most common clinical indications for which physicians ordered the test were reflective of the indications in which MMBV is anticipated to have the highest clinical value because of etiology determination being confounded by colonizers (eg, respiratory tract infection) and unknown infection source (eg, FWS). It is noteworthy that MMBV’s diagnostic accuracy for patients discharged with LRTI was observed to be even higher than MMBV’s overall performance. Indeed, multiple clinical studies have validated MMBV’s diagnostic accuracy in these subpopulations.25–28
Because MMBV was ordered at the physician's discretion, it is assumed that the patients most easily diagnosed and managed were left out of the current analysis. The assumption that the study population represents more diagnostically or medically challenging cases is supported by the high hospitalization rate of nearly 50% of the patients, compared with ∼25% for a general pediatric ED visit.25 In addition, physicians documented diagnostic uncertainty in >50% of patients for whom MMBV tests were ordered.
In medical centers in which MMBV is being deployed as part of routine care, it is anticipated that the MMBV test will be ordered at the same time as blood is drawn for conventional tests, particularly for children, because there is a strong desire to reduce invasive sampling. This is precisely the time point at which the questionnaire was completed in the current study to uncover the physician’s etiological suspicion and certainty. Accordingly, the findings of this study support that rapid provision of the MMBV result has the potential to confirm or change the physician’s initial suspicion. In the future, after data on MMBV’s real-world performance have accumulated, it is anticipated that workflows may be revised so that the MMBV result impacts decisions relating to work-up.
A major strength of this diagnostic accuracy study is that the study population comprises patients selected at the physician’s discretion who fall within the test’s indication for use. In this way, the study population reflects the real-world use of the test. An additional strength is the use of questionnaires to reveal the physician's initial suspicion of the presenting syndrome and etiology with the scoring of uncertainty, the latter a known methodology developed for examining physician perception.35 Lastly, the long duration of the study enabled a large and clinically diverse cohort to be enrolled.
A study limitation is that MMBV was measured by using a time-consuming enzyme-linked immunosorbent assay (ELISA)-based platform that was performed only once daily, during weekdays, in the medical center’s central laboratory. Thus, although MMBV results were made available to physicians, the time to results varied from hours to days and necessitated taking management decisions before receiving the results. Accordingly, the study could not evaluate the real-time use of the test and its impact on decision making. Of note, MMBV can now be performed rapidly by using a new user-friendly and compact platform, enabling its application within the ED workflow. Real-world studies are required to evaluate its impact on patient management.
Conclusions
In summary, MMBV demonstrated high performance, specifically in cases considered difficult to diagnose after initial assessment, regardless of the availability of laboratory tests. Future studies using a rapid MMBV measurement platform are warranted to assess clinical utility.
Acknowledgments
We thank our colleagues for their inputs: Yaly Orr, MD, Michal Stein, MD, Hagai Hamami, MD, Roy Navon, MSc, Amir Nakar, PhD, Efrat Flashner-Abramson, PhD, Naama Sitry, MD, Moran Barak, MD, Tanya M. Gottlieb, PhD, and Eran Eden, PhD. These colleagues are/were employees of MeMed. We thank Daniel Glikman, MD, Renata Yakobov, MD, Sharona Paz, MD, and Yael Shahor, MD, for their adjudication.
Drs Klein and Stein conceptualized and designed the study and drafted the initial manuscript; Drs Shapira, Lipman-Arens, Bamberger, Srugo, and Chistyakov collected data and conducted the initial analyses; and all authors reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.
Deidentified individual participant data will be made available, in addition to study protocols and the statistical analysis plan. The data will be made available upon publication to researchers who provide a methodologically sound proposal for use in achieving the goals of the approved protocol. Proposals should be submitted to [email protected].
FUNDING: No external funding.
CONFLICT OF INTEREST DISCLOSURES: Dr Bamberger is a part time employee of MeMed; and Drs Klein, Shapira, Lipman-Arens, Srugo, Chistyakov, and Stein have indicated they have no potential conflicts of interest to disclose.
- ANC
absolute neutrophil count
- CI
confidence interval
- CRP
C-reactive protein
- ED
emergency department
- FWS
fever without source
- IP-10
interferon γ-induced protein-10
- IQR
interquartile range
- LRTI
lower respiratory tract infection
- MMBV
MeMed BV
- NPV
negative predictive value
- PCR
polymerase chain reaction
- PPV
positive predictive value
- TNF
tumor necrosis factor
- TRAIL
TNF-related apoptosis-induced ligand
- URTI
upper respiratory tract infection
- UTI
urinary tract infection
- WBC
white blood cell count
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