0
We're unable to sign you in at this time. Please try again in a few minutes.
Retry
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
Retry
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Article |

Utility of the Serum C-reactive Protein for Detection of Occult Bacterial Infection in Children FREE

Daniel J. Isaacman, MD; Bonnie L. Burke, MS
[+] Author Affiliations

From the Department of Pediatrics, Eastern Virginia Medical School, Children's Hospital of The King's Daughters, Norfolk, Va.


Arch Pediatr Adolesc Med. 2002;156(9):905-909. doi:10.1001/archpedi.156.9.905.
Text Size: A A A
Published online

Objective  To assess the utility of serum C-reactive protein (CRP) as a screen for occult bacterial infection in children.

Methods  Febrile children ages 3 to 36 months who visited an urban children's hospital emergency department and received a complete blood cell count and blood culture as part of their evaluation were prospectively enrolled from February 2, 2000, through May 30, 2001. Informed consent was obtained for the withdrawal of an additional 1-mL aliquot of blood for use in CRP evaluation. Logistic regression and receiver operator characteristic (ROC) curves were modeled for each predictor to identify optimal test values, and were compared using likelihood ratio tests.

Results  Two hundred fifty-six patients were included in the analysis, with a median age of 15.3 months (range, 3.1-35.2 months) and median temperature at triage 40.0°C (range, 39.0°C-41.3°C). Twenty-nine (11.3%) cases of occult bacterial infection (OBI) were identified, including 17 cases of pneumonia, 9 cases of urinary tract infection, and 3 cases of bacteremia. The median white blood cell count in this data set was 12.9 × 109/µL (range, 3.6-39.1 ×109/µL), the median absolute neutrophil count (ANC) was 7.12 × 109/L (range, 0.56-28.16 ×109/L), and the median CRP level was 1.7 mg/dL (range, 0.2-43.3 mg/dL). The optimal cut-off point for CRP in this data set (4.4 mg/dL) achieved a sensitivity of 63% and a specificity of 81% for detection of OBI in this population. Comparing models using cut-off values from individual laboratory predictors (ANC, white blood cell count, and CRP) that maximized sensitivity and specificity revealed that a model using an ANC of 10.6 ×109/L (sensitivity, 69%; specificity, 79%) was the best predictive model. Adding CRP to the model insignificantly increased sensitivity to 79%, while significantly decreasing specificity to 50%. Active monitoring of emergency department blood cultures drawn during the study period from children between 3 and 36 months of age showed an overall bacteremia rate of 1.1% during this period.

Conclusions  An ANC cut-off point of 10.6 ×109/L offers the best predictive model for detection of occult bacterial infection using a single test. The addition of CRP to ANC adds little diagnostic utility. Furthermore, the lowered incidence of occult bacteremia in our population supports a decrease in the use of diagnostic screening in this population.

Figures in this Article

THE DIAGNOSIS of occult bacteremia in children remains a challenging clinical problem. Prior studies have established that between 1.6% and 8% of children 3 to 36 months of age with temperatures 39°C or higher will have bacteremia, defined as growth of a pathogen in a blood culture.15 Discrimination on the basis of clinical findings has not been sufficiently sensitive or specific to direct therapy. Thus, laboratory screening tests are often used to identify a subpopulation at significant risk for bacteremia to merit prophylactic antibiotic therapy. Currently, the best laboratory predictors of bacteremia are the white blood cell count (WBC) and the absolute neutrophil count (ANC), with comparable sensitivities and specificities in the range of 70% to 86%.4,5

Measurement of C-reactive protein (CRP), an acute-phase protein synthesized by hepatocytes, is valuable in distinguishing systemic bacterial infection from viral infections in both immunocompetent and immunodeficient hosts.69 After the onset of inflammation or acute tissue injury, CRP synthesis increases within 4 to 6 hours, doubling every 8 hours thereafter, and peaking at 36 to 50 hours after the onset of inflammation. C-reactive protein levels remain elevated with ongoing inflammation and tissue destruction, but with resolution, they decline rapidly because of a relatively short half-life of 4 to 7 hours. The rapid kinetics of CRP metabolism seem to closely parallel the degree of injury and repair, thereby supporting its value as an acute measure of disease activity. Furthermore, the test is relatively inexpensive, can be run quickly, and requires a small aliquot of serum, obtainable by fingerstick. Automated chemistry analyzers are beginning to offer CRP in their test menus.10,11

While several studies have looked at the usefulness of CRP in the neonatal population, few studies have been done to assess the performance of CRP for the detection of bacteremia or occult bacterial infection (OBI) in children. Four reports have suggested that CRP may offer superior diagnostic accuracy compared with WBC in the detection of bacteremia or OBI.1215

This study prospectively compared the accuracy of serum CRP with that of WBC and ANC for the detection of bacteremia and OBI in febrile young children, and investigated the contribution of other variables such as patient age, temperature, and duration of illness on the utility of these tests. The "best" test was determined by maximum area under the curve (AUC) criteria. The study also assessed whether adding CRP testing to those results obtained from the WBC and the differential improved the diagnostic accuracy of these tests.

Children visiting the emergency department of Children's Hospital of The King's Daughters (Norfolk, Va), a free-standing, urban children's hospital, who were between 3 and 36 months of age were eligible for participating this study. All febrile children who met entry criteria and required a complete blood cell count (CBC) and blood culture as part of their evaluation were eligible for enrollment. The determination as to whether a CBC and blood culture were drawn, as well as other laboratory testing (including urinalysis and culture and chest radiograph), was made by the pediatric emergency medicine attending physician who was supervising the patient, and was based on standard guidelines adopted for the management of fever without apparent source in children of this age group.16 Patients were excluded if they had taken any oral or parenteral antibiotics within 48 hours of the visit, or had a known case of bacteremia during the previous 48 hours. Immunodeficient patients were enrolled, but analyzed separately.

Informed consent was obtained for each patient for the withdrawal of an additional 1-mL aliquot of blood sampled simultaneously for CRP measurement. C-reactive protein levels were measured using a heterogeneous immunoassay format; normal values using this assay are 0 to 0.9 mg/dL. Housestaff and attending staff were informed that CRP levels were being analyzed for study purposes only. Data recorded on each patient included age, temperature in triage, length of existing febrile illness (in hours), history of antibiotic use in the past 48 hours, and history of immunodeficiency.

Blood cultures were processed using the Bactec F system (Beckton Dickinson Diagnostics, Sparks, Md) with constant surveillance for 5 days. Results of total WBC, ANC, and CRP levels were recorded and used to compute the sensitivity, specificity, and positive and negative predictive values of these results with the outcome of interest—OBI. Occult bacterial infection was defined as bacteremia, pneumonia, or urinary tract infection in which no focal abnormalities were evident on physical examination. Bacteremia was defined as growth of a pathogen in blood culture. Positive cultures were classified as pathogens or contaminants using preexisting criteria.17 The diagnosis of "occult pneumonia" was based on a radiologic diagnosis of lobar infiltrate or pneumonia in a patient with no abnormalities noted on physical examination. Urinary tract infection was defined as 104 or more colony-forming units per cubic milliliter of a single organism in a catheterized urine specimen, or 105 or more colony-forming units per cubic milliliter of a single organism from a bagged specimen.

STATISTICAL ANALYSIS

Distributions of demographic variables were evaluated for normality using the Shapiro-Wilk test. Comparison of nonnormally distributed variables was made using the Wilcoxon rank sum test for equality of distributions. Categorical variables were compared using χ2 analysis. The distributions of each test were assessed, and where the test values followed a log-linear relationship, simple and multiple logistic regression using backward elimination was performed so that the full model included as exploratory tools all demographic variables, laboratory tests, and appropriate interactions as predictors of OBI. Absolute neutrophil count, WBC, and CRP level were assumed to be independent. Variables were removed from the model if the significance was greater than P = .05. Receiver operator characteristic (ROC) curves were fit for WBC, ANC, and CRP individually, and for combinations of WBC and CRP or ANC and CRP as paired screens. The ROC curves were fit first using the observed levels of the tests, and compared using the maximum area AUC criteria. Next, cut-off points for each test were determined by simultaneously maximizing the sensitivity and specificity. The ROC curves were fit using these cut-off points and compared using maximum AUC criteria and likelihood ratio tests where appropriate. Positive and negative predictive values with 95% confidence intervals (CIs) were tabulated. Finally, a model was fit for CRP, keeping sensitivity at 0.80 or higher to determine the specificity of such a test. All analyses were performed using STATA 6.0 (STATA Corp, College Station, Tex), with the exception of ROC curve comparisons, which were made using MedCalc 6.14 (MedCalc Software, Mariakerke, Belgium).

SAMPLE SIZE ESTIMATION

Sample size was estimated by establishing the null hypothesis that a CRP value of greater than 2.0 mg/dL will prove to be no more sensitive than the sensitivity of a WBC greater than 15 × 109/L. If we assume that the sensitivity of the test using WBC will be 70% and that the test using CRP will be 95%, 36 patients with OBI would be required to detect this absolute difference of 25% with α = .05 and 80% power. Assuming a 14% OBI rate (6% UTI, 5% pneumonia, and 3% bacteremia), 257 patients would need to be enrolled.

Two hundred sixty-six patients were enrolled in the study, and 9 were later found to have undetected exclusion criteria and were subsequently excluded (8 with antibiotic use within 48 hours and 1 with known bacteremia within 48 hours). One additional patient was analyzed separately because of a history of immunodeficiency. The median age of the 256 patients included in the analysis was 15.3 months (range, 3.1-35.2 months); median temperature at triage was 40.0°C (range, 39.0°C-41.3°C); median length of illness was 24 hours (range, 0-288 hours). Twenty-nine patients (11.3%) had OBI: 17 with pneumonia, 9 with a urinary tract infection, and 3 with bacteremia. The immunocompromised patient did not have an OBI, and since comparisons based on one subject have questionable validity, the patient was excluded from analysis. No significant demographic or clinical difference was detected between those included in the study and those excluded from analysis. Comparing patients with OBI with those without, neither age nor length of illness were significantly different (for age and length of illness, P = .51, and P = .10, respectively); however, median temperature in triage was significantly higher for those with OBI (P = .04).

Distributions of WBC, ANC, and CRP levels for those with and without OBI, as well as those excluded, are presented in Table 1. Median values of each of these tests were significantly higher in patients with OBI than in those without OBI (P< .001). Line graphs of the distribution of the test values for patients with and without OBI are provided in Figure 1.

Table Graphic Jump LocationTable 1. Demographic and Clinical Comparisons*
Place holder to copy figure label and caption

Line graph of the distribution of white blood cell counts (WBC), absolute neutrophil counts (ANC), and C-reactive protein (CRP) values in both patients with and without occult bacterial infection (OBI). The vertical line delineates positive and negative test values.

Graphic Jump Location

Two multiple logistic regression models were fit that included age, temperature, length of illness, CRP, and either ANC (model 1) or WBC (model 2). Backward elimination identified only ANC (or WBC), CRP, and length of illness as independent predictors of OBI. In the first model, each cell increase of 1000 × 109/L in the ANC resulted in a risk increase of 1.15 for OBI (odds ratio [OR] = 1.15; 95% CI, 1.07-1.24; P<.001) after adjusting for CRP and length of illness. Each 1-mg/dL increase in CRP resulted in a risk increase of 1.12 for OBI (OR = 1.12; 95% CI, 1.04-1.20; P = .003), adjusting for ANC and length of illness. Similarly, each 1-hour increase in length of illness resulted in a risk increase of 1.01 for OBI (OR = 1.01; 95% CI, 1.00-1.03; P = .01), adjusting for ANC and CRP. In the second model, each cell increase of 1000 × 109/L in the WBC resulted in a 1.15 risk increase for OBI (OR = 1.15; 95% CI, 1.07-1.23; P<.001) after adjusting for CRP and length of illness. Each 1-mg/dL increase in CRP resulted in a 1.12 increase in risk of OBI (OR = 1.12; 95% CI, 1.04-1.21; P = .003), adjusting for WBC and length of illness. Similarly, each 1-hour increase in length of illness resulted in a risk increase of 1.01 for OBI (95% CI, 1.00-1.02; P = .05), adjusting for WBC and CRP.

The ROC curves were constructed, and "best" tests were determined for ANC, WBC, and CRP using the criteria that the AUC be maximized. These models are summarized in terms of sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively) in Table 2. The WBC, CRP, and ANC performed quite similarly with little discernible difference. When using the criteria that either the CRP cut-off value be greater than or equal to 3.1 mg/dL or a WBC threshold of at least 17.1 × 109/L, the sensitivity of the screen increased from 0.69 (95% CI, 0.51-0.89) to 0.76 (95% CI, 0.59-0.92), while the specificity dropped from 0.80 (95% CI, 0.75-0.85) to 0.58 (95% CI, 0.51-0.64). Similarly, using the criteria that CRP levels be at least 3.6 mg/dL or the ANC threshold be at least 10.5 × 109/L increased sensitivity of the test from 0.69 (95% CI, 0.51-0.87) to 0.79 (95% CI, 0.64-0.95) with a commensurate drop in specificity from 0.79 (95% CI, 0.73-0.84) to 0.50 (95% CI, 0.43-0.56). As evidenced by the overlap in CIs, no change in sensitivity was statistically significant; however, the drop in specificity with the addition of CRP to both ANC and WBC criteria was significant. There was also an insignificant drop in PPV with the addition of a CRP marker to both WBC and ANC, while NPV remained constant with 95% rule-out probability.

Due to the biological rise and decay rate of CRP, the timing of presentation was included in regression models. This is of special interest since most patients in our study group, 219 overall (81%), and 25 of those with OBI (81%), came to the emergency department for treatment 12 or more hours after the onset of illness. No significant difference was detected in the distribution of CRP levels between patients presenting within 12 hours of onset of illness compared with at least 12 hours after illness. The sensitivity of CRP to detect OBI among patients seen at least 12 hours after onset of illness only slightly exceeds that for patients seen within 12 hours (0.68 vs 0.67, respectively), with a proportional drop in specificity (0.81 vs 0.85, respectively).

Three (1.1%) of the 256 analyzed study patients had occult bacteremia; there were 2 cases of Streptococcus pneumoniae bacteremia, and 1 case of Salmonella infection. To ensure that the prevalence of occult bacteremia mirrored that in our overall emergency department, we reviewed the microbiology reports from of all children 3 to 36 months of age who had a blood culture done during the period from February 2000 to February 2001. Seventeen hundred seventy-two cultures were drawn during this year; there were 38 pathogens (2.1%) and 38 contaminants (2.1%). A comparison between the bacteremia rates in the study population vs the overall emergency department population revealed that there was no significant difference (P = .26).

While CRP offers many theoretical advantages as a screening test for OBI, we did not find any advantage in using this test in lieu of the ANC. The sensitivity, specificity, and PPV and NPV profiles of these tests are extremely similar. While the addition of CRP testing to that of WBC or ANC provides a slightly better screening profile for ruling out occult bacterial infection, this comes at the cost of a decrease in specificity. At our institution, direct and indirect costs for a CBC amounts to $17.32 per case, and the total cost of CRP is $21.94 per case, meaning that if 1800 patients require this screening annually, as in our emergency department, they would have 204 cases of OBI, of which the ANC screen would detect 141 cases (69% sensitivity), while the ANC/CRP screen would detect 162 cases (79% sensitivity). This would lead to an additional cost of $40 000 to detect 21 additional cases of OBI. Furthermore, despite the added cost of this 2-test approach, the ANC and CRP model "rules out" only 798 of 1596 febrile patients, which is a marked reduction in specificity compared with that of ANC alone.

Comparing the distributions of CRP, ANC, and WBC provides further evidence as to the limited usefulness of CRP as a screening test (Figure 1). While the lines for patients with OBI and those without OBI clearly separate at WBC and ANC levels that are greater than normal, this pattern is not seen with CRP until extremely high values are reached. The distribution of CRP suggests that many patients without OBI will still have an elevated CRP, thus leading to a high percentage of false-positive results using this screening method. Stated another way, to achieve a screening sensitivity of 85% for OBI, using CRP would necessitate setting the cut-off point so low (0.7 mg/dL) that the specificity (23%) would be impractical.

Our results differ from some other recent investigations. In 1986, Peltola and Jaakkola12 used a case-control design to study CRP values in 73 children with culture-positive bacteremia and compared them with 73 patients with systemic viral infections. Their CRP levels were higher than 2.0 mg/dL in 65 of 73 children who had bacteremia and were less than this value in 56 of 73 with a viral illness, suggesting a high sensitivity and specificity for this level of CRP to detect a blood stream infection.12 More recently, Pulliam et al13 evaluated CRP in 77 children aged 1 to 36 months who had fever and no localizing signs, and found that a CRP value of 7 mg/dL provided a sensitivity of 79% and a specificity of 91% for the detection of OBI.13 Using the cut-off point of Pulliam et al (7 mg/dL) would have identified only 37% of those with OBI in our population—an unacceptably low sensitivity. While both prior studies demonstrated very good to excellent sensitivities of the CRP, neither of these designs allowed for the determination of true-PPVs or true-NPVs of CRP, as the incidence of disease in these populations was much higher than in the general emergency department population. Furthermore, neither of these studies looked at the added diagnostic utility of adding the CRP test to existing screening tests.

While the initial goal of this study was to test the usefulness of CRP as a screening tool for occult bacteremia, the low incidence of this disorder in our population made this objective impractical. A review of the microbiology records at our hospital showed a slightly higher incidence of OBI in our general emergency department population than in our study group, though both values were quite low. Our rates of bacteremia mirror those recently reported by Alpern et al.1 In light of such a low incidence of occult bacteremia, whether any screening test should be done for this disorder is now debatable.

Some might argue that it is unnecessary to use a nonspecific laboratory test such as CRP to screen for infections such as pneumonia and urinary tract infection, as these infections can be diagnosed through more specific laboratory studies. While that argument has its merit, many children with pneumonia and urinary tract infections can have subtle, or very few, physical abnormalities on examination. For this reason, we explored the utility of CRP, a simple test that can be done via fingerstick and that might alert physicians to the need to go further in their evaluations. Comparing the use of the 3 screening methods for the detection of occult pneumonia alone yields AUC values of 0.74 for both ANC and WBC, and 0.72 for CRP. C-reactive protein seems to be no better for the detection of occult pneumonia than either ANC or WBC. A comparison of the screening tests for the detection of occult urinary tract infections also yields comparable results (an AUC of 0.74 for ANC, 0.75 for WBC, and 0.76 for CRP).

As enrollment in this study occurred prospectively, and informed consent was necessary, our study sample included only a minority of eligible patients. Nevertheless, the patient demographics, initial temperatures, and mean WBC counts are similar to those reported in other large case series.2,4,5 As the bacteremia rate in our study sample was less than in our general emergency department during the same period, this effect may slightly underestimate the PPV of CRP in our population.

Lee et al18 recently conducted a cost-effectiveness analysis of the role of the CBC and blood culture in the detection of occult bacteremia in the current era of the conjugate pneumococcal vaccine.18 Their results suggested that with rates of occult bacteremia at approximately 1.5%, current practices of using a screening WBC to determine who should receive prophylactic antibiotic treatment is still efficacious. As the incidence of occult bacteremia in our emergency department is still greater than in this threshold, screening tests maintain an important role. If centers continue to see declines in rates of occult bacteremia that are less than 1%, a management approach that omits screening laboratory testing for this disorder may evolve.

In summary, as an individual test, CRP does not seem to contribute any additional diagnostic accuracy for the detection of occult bacterial infection in children as compared with WBC or ANC. Absolute neutrophil count continues to be the single best laboratory predictor of occult bacteremia and OBI in children. A screening profile that combines CRP results with those of either WBC or ANC insignificantly increases the sensitivity of these screens for the detection of OBI, but at roughly twice the cost. With the routine use of the conjugate pneumococcal vaccine, the incidence of bacteremia in fully immunized children is now quite low, thus arguing for a changing management approach that relies more on clinical follow-up than on screening laboratory testing.

Accepted for publication April 4, 2002.

This project was supported by grant 872090 from the Department of Pediatrics, Eastern Virginia Medical School, Norfolk.

Presented in part at the Pediatric Academic Societies Annual Meeting, Baltimore, Md, May 4, 2002.

We thank Kimberly Kelly for her invaluable help with data collection and manuscript preparation.

What This Study Adds

Previous work in the neonatal literature has suggested that serial measurements of serum CRP can be very useful in identifying neonatal infection. A recent study has suggested that CRP may hold promise in predicting children who are likely to have an OBI. This study contributes to the ongoing literature regarding the detection of occult bacteremia and OBI in children. It questions the usefulness of a single CRP value in identifying OBI in children, and highlights the decreasing incidence of occult bacteremia in this population.

Corresponding author: Daniel J. Isaacman, MD, Division of Pediatric Emergency Medicine, Children's Hospital of The King's Daughters, 601 Children's Lane, Norfolk, VA 23507 (e-mail: disaacma@chkd.com).

Alpern  ERAlesandrini  EABell  LMShaw  KNMcGowan  KL Occult bacteremia from a pediatric emergency department: current prevalence, time to detection and outcome. Pediatrics. 2000;106505- 511
Link to Article
Fleisher  GRRosenberg  NVinci  R  et al.  Intramuscular versus oral antibiotic therapy for the prevention of meningitis and other bacterial sequelae in young, febrile children at risk for occult bacteremia. J Pediatr. 1994;124504- 512
Link to Article
Jaffe  DMTanz  RRDavis  ATHenretig  FFleisher  G Antibiotic administration to treat possible occult bacteremia in febrile children. N Engl J Med. 1987;3171175- 1180
Link to Article
Lee  GMHarper  MB Risk of bacteremia in febrile young children in the post–Haemophilus influenzae type b era. Arch Pediatr Adolesc Med. 1998;152624- 628
Link to Article
Kuppermann  NFleisher  GRJaffe  DM Predictors of occult pneumococcal bacteremia in young febrile children. Ann Emerg Med. 1998;31679- 687
Link to Article
Putto  ARuuskanen  OMeurman  O  et al.  C-reactive protein in the evaluation of febrile illness. Arch Dis Child. 1986;6124- 29
Link to Article
De  ASaraswathi  KGogate  ARaghavan  K C-reactive protein and buffy coat smear in early diagnosis of childhood septicemia. Indian J Pathol Microbiol. 1998;4123- 26
Kohli  VSinghi  SSharma  PGanguly  N Value of C-reactive protein concentrations in febrile children without apparent focus. Ann Trop Paediatr. 1993;13373- 378
Stanley  TBarrett  DSalmond  CE Viral and bacterial infection in childhood: the value of C-reactive protein. N Z Med J. 1991;104138- 139
Gabay  CEMKushner  I Acute-phase proteins and other systemic responses to inflammation. N Engl J Med. 1999;340448- 454
Link to Article
Jaye  DWaites  K Clinical application of C-reactive protein in pediatrics. Pediatr Infect Dis J. 1997;16735- 747
Link to Article
Peltola  HJaakkola  M C-reactive protein in early detection of bacteremic versus viral infections in immunocompetent and compromised hosts. J Pediatr. 1988;113641- 646
Link to Article
Pulliam  PAttia  MCronan  K C-reactive protein in febrile children 1-36 months of age with clinically undetectable serious bacterial infection. Pediatrics. 2001;1081275- 1280
Link to Article
Lacour  AGGervais  AZamora  SA  et al.  Procacitonin, IL-6, IL-8, IL-1 receptor antagonist and C-reactive protein as identificators of serious bacterial infections in children with fever without localising signs. Eur J Pediatr. 2001;16095- 100
Link to Article
Sormunen  PKallio  MJTKilpi  T C-reactive protein is useful in distinguishing gram stain-negative bacterial meningitis from viral meningitis in children. J Pediatr. 1999;134725- 729
Link to Article
Baraff  LJBass  JWFleisher  GR  et al.  Practice guideline for the management of infants and children 0-36 months of age with fever without source. Pediatrics. 1993;921- 12
Isaacman  DJKarasic  RB Lack of effect of changing needles on contamination of blood cultures. Pediatr Infect Dis J. 1990;9274- 278
Link to Article
Lee  GMFleisher  GRHarper  M Management of febrile children in the age of the conjugate pneumococcal vaccine: a cost-effectiveness analysis. Pediatrics. 2001;108835- 844
Link to Article

Figures

Place holder to copy figure label and caption

Line graph of the distribution of white blood cell counts (WBC), absolute neutrophil counts (ANC), and C-reactive protein (CRP) values in both patients with and without occult bacterial infection (OBI). The vertical line delineates positive and negative test values.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1. Demographic and Clinical Comparisons*

References

Alpern  ERAlesandrini  EABell  LMShaw  KNMcGowan  KL Occult bacteremia from a pediatric emergency department: current prevalence, time to detection and outcome. Pediatrics. 2000;106505- 511
Link to Article
Fleisher  GRRosenberg  NVinci  R  et al.  Intramuscular versus oral antibiotic therapy for the prevention of meningitis and other bacterial sequelae in young, febrile children at risk for occult bacteremia. J Pediatr. 1994;124504- 512
Link to Article
Jaffe  DMTanz  RRDavis  ATHenretig  FFleisher  G Antibiotic administration to treat possible occult bacteremia in febrile children. N Engl J Med. 1987;3171175- 1180
Link to Article
Lee  GMHarper  MB Risk of bacteremia in febrile young children in the post–Haemophilus influenzae type b era. Arch Pediatr Adolesc Med. 1998;152624- 628
Link to Article
Kuppermann  NFleisher  GRJaffe  DM Predictors of occult pneumococcal bacteremia in young febrile children. Ann Emerg Med. 1998;31679- 687
Link to Article
Putto  ARuuskanen  OMeurman  O  et al.  C-reactive protein in the evaluation of febrile illness. Arch Dis Child. 1986;6124- 29
Link to Article
De  ASaraswathi  KGogate  ARaghavan  K C-reactive protein and buffy coat smear in early diagnosis of childhood septicemia. Indian J Pathol Microbiol. 1998;4123- 26
Kohli  VSinghi  SSharma  PGanguly  N Value of C-reactive protein concentrations in febrile children without apparent focus. Ann Trop Paediatr. 1993;13373- 378
Stanley  TBarrett  DSalmond  CE Viral and bacterial infection in childhood: the value of C-reactive protein. N Z Med J. 1991;104138- 139
Gabay  CEMKushner  I Acute-phase proteins and other systemic responses to inflammation. N Engl J Med. 1999;340448- 454
Link to Article
Jaye  DWaites  K Clinical application of C-reactive protein in pediatrics. Pediatr Infect Dis J. 1997;16735- 747
Link to Article
Peltola  HJaakkola  M C-reactive protein in early detection of bacteremic versus viral infections in immunocompetent and compromised hosts. J Pediatr. 1988;113641- 646
Link to Article
Pulliam  PAttia  MCronan  K C-reactive protein in febrile children 1-36 months of age with clinically undetectable serious bacterial infection. Pediatrics. 2001;1081275- 1280
Link to Article
Lacour  AGGervais  AZamora  SA  et al.  Procacitonin, IL-6, IL-8, IL-1 receptor antagonist and C-reactive protein as identificators of serious bacterial infections in children with fever without localising signs. Eur J Pediatr. 2001;16095- 100
Link to Article
Sormunen  PKallio  MJTKilpi  T C-reactive protein is useful in distinguishing gram stain-negative bacterial meningitis from viral meningitis in children. J Pediatr. 1999;134725- 729
Link to Article
Baraff  LJBass  JWFleisher  GR  et al.  Practice guideline for the management of infants and children 0-36 months of age with fever without source. Pediatrics. 1993;921- 12
Isaacman  DJKarasic  RB Lack of effect of changing needles on contamination of blood cultures. Pediatr Infect Dis J. 1990;9274- 278
Link to Article
Lee  GMFleisher  GRHarper  M Management of febrile children in the age of the conjugate pneumococcal vaccine: a cost-effectiveness analysis. Pediatrics. 2001;108835- 844
Link to Article

Correspondence

CME
Also Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Your answers have been saved for later.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
Submit a Comment

Multimedia

Some tools below are only available to our subscribers or users with an online account.

Web of Science® Times Cited: 39

Related Content

Customize your page view by dragging & repositioning the boxes below.

See Also...
Articles Related By Topic
Related Collections
JAMAevidence.com