OBJECTIVES: To identify a biomarker panel with sufficient sensitivity and negative predictive value to identify children with abdominal pain at low risk for acute appendicitis in order to avoid unnecessary imaging. METHODS: We prospectively enrolled 503 subjects aged two to 20 years with <72 hours of abdominal pain consistent with appendicitis. Blood samples from each patient were analyzed for CBC, differential, and 5 candidate proteins. Biomarker values were evaluated using principal component, recursive partitioning and logistic regression to select the combination that best discriminated between those subjects with and without disease. RESULTS: The prevalence of acute appendicitis was 28.6%. A mathematical combination of three inflammation-related markers in a panel comprised of white blood cell count (WBC), C-reactive protein (CRP), and myeloid-related protein 8/14 complex (MRP 8/14) provided the best discrimination. This panel exhibited a sensitivity of 96.5% (95% CI, 92-99%), a negative predictive value of 96.9% (95% CI, 93-99%), a negative likelihood ratio of 0.08 (95% CI, 0.03- 0.19), and a specificity of 43.2% (95% CI, 38-48%) for acute appendicitis. Sixty of 185 CT scans (32.4%) were done for patients with negative biomarker panel results which, if deferred, would have reduced CT utilization at initial presentation by one third at the cost of missing five of 144 (3.5%) patients with appendicitis. CONCLUSION: This panel may be useful in identifying pediatric patients with signs and symptoms suggestive of acute appendicitis who are at low risk and can be followed clinically, potentially sparing them exposure to the ionizing radiation of CT.
OBJECTIVES: To identify a biomarker panel with sufficient sensitivity and negative predictive value to identify children with abdominal pain at low risk for acute appendicitis in order to avoid unnecessary imaging. METHODS: We prospectively enrolled 503 subjects aged two to 20 years with <72 hours of abdominal pain consistent with appendicitis. Blood samples from each patient were analyzed for CBC, differential, and 5 candidate proteins. Biomarker values were evaluated using principal component, recursive partitioning and logistic regression to select the combination that best discriminated between those subjects with and without disease. RESULTS: The prevalence of acute appendicitis was 28.6%. A mathematical combination of three inflammation-related markers in a panel comprised of white blood cell count (WBC), C-reactive protein (CRP), and myeloid-related protein 8/14 complex (MRP 8/14) provided the best discrimination. This panel exhibited a sensitivity of 96.5% (95% CI, 92-99%), a negative predictive value of 96.9% (95% CI, 93-99%), a negative likelihood ratio of 0.08 (95% CI, 0.03- 0.19), and a specificity of 43.2% (95% CI, 38-48%) for acute appendicitis. Sixty of 185 CT scans (32.4%) were done for patients with negative biomarker panel results which, if deferred, would have reduced CT utilization at initial presentation by one third at the cost of missing five of 144 (3.5%) patients with appendicitis. CONCLUSION: This panel may be useful in identifying pediatric patients with signs and symptoms suggestive of acute appendicitis who are at low risk and can be followed clinically, potentially sparing them exposure to the ionizing radiation of CT.
Authors: Augusto Zani; Warwick J Teague; Simon A Clarke; Munther J Haddad; Sanjeev Khurana; Thomas Tsang; Ramesh M Nataraja Journal: Pediatr Surg Int Date: 2017-04-29 Impact factor: 1.827
Authors: Lakhmir S Chawla; Ian Toma; Danielle Davison; Khashayar Vaziri; Juliet Lee; Raymond Lucas; Michael G Seneff; Aoibhinn Nyhan; Timothy A McCaffrey Journal: BMC Med Genomics Date: 2016-07-15 Impact factor: 3.063
Authors: Josephine Reismann; Alessandro Romualdi; Natalie Kiss; Maximiliane I Minderjahn; Jim Kallarackal; Martina Schad; Marc Reismann Journal: PLoS One Date: 2019-09-25 Impact factor: 3.240
Authors: Thomas Vogl; Michel Eisenblätter; Tom Völler; Stefanie Zenker; Sven Hermann; Peter van Lent; Andreas Faust; Christiane Geyer; Beatrix Petersen; Kirsten Roebrock; Michael Schäfers; Christoph Bremer; Johannes Roth Journal: Nat Commun Date: 2014-08-06 Impact factor: 14.919