| Literature DB >> 27652293 |
Markus Franke1, Andrea Geiß1, Peter Greiner2, Ulrich Wellner3, Hans-Jürgen Richter-Schrag4, Dirk Bausch3, Andreas Fischer4.
Abstract
BACKGROUND AND STUDY AIMS: Gastrointestinal bleeding in children and adolescents accounts for up to 20 % of referrals to gastroenterologists. Detailed management guidelines exist for gastrointestinal bleeding in adults, but they do not encompass children and adolescents. The aim of this study was to assess gastrointestinal bleeding in pediatric patients and to determine an investigative management algorithm accounting for the specifics of children and adolescents. PATIENTS AND METHODS: Pediatric patients with gastrointestinal bleeding admitted to our endoscopy unit from 2001 to 2009 (n = 154) were identified. Retrospective statistical and neural network analysis was used to assess outcome and to determine an investigative management algorithm.Entities:
Year: 2016 PMID: 27652293 PMCID: PMC5025350 DOI: 10.1055/s-0042-109264
Source DB: PubMed Journal: Endosc Int Open ISSN: 2196-9736
Patients and diagnosis.
| Alln = 154 | |
| Age, years, median (range) | 7.55(0.01 – 17.57) |
| Sex (male : female) | 97 : 57 |
| Days from onset of symptoms to first procedure, median (range) | 21 (0 – 728) |
| Hospital admission for bleeding | 134 |
| History of | 35 (23 %) |
| Hematologic disease | 8 (5 %) |
| Malignancy | 4 (3 %) |
| Hepatobiliary disease | 10 (6 %) |
| Renal disease | 4 (3 %) |
| Cardiac disease | 9 (6 %) |
| Initial procedure | |
| EGD | 21 (14 %) |
| Colonoscopy | 43 (28 %) |
| EGD + Colonoscopy | 90 (58 %) |
| Diagnosis obtained | 124 (81 %) |
| after first endoscopy | 105 (68 %) |
| after additional procedures | 19 (12 %) |
| Cause of bleeding | |
| Upper gastrointestinal bleeding | 21 (14 %) |
| Gastritis | 8 (5 %) |
| Esophageal/gastric ulcer | 4 (3 %) |
| Esophagitis | 3 (2 %) |
| Esophageal varices | 2 (1 %) |
| Other | 4 (3 %) |
| Lower gastrointestinal bleeding | 101 (66 %) |
| Inflammatory bowel disease | 31 (20 %) |
| Colorectal polyp | 31 (20 %) |
| Colitis | 13 (8 %) |
| Anal fissure | 9 (6 %) |
| Angiodysplasia | 2 (1 %) |
| Meckel’s diverticulum | 2 (1 %) |
| Other | 13 (8 %) |
| Upper and lower gastrointestinal bleeding | 2 (1 %) |
| Unknown | 30 (19 %) |
Symptoms.
| All n = 154 | Lower gastrointestinal bleedingn = 101 | Upper gastrointestinal bleedingn = 21 | |
| Abdominal pain | 58 | 34 | 9 |
| Anemia | 62 | 35 | 18 |
| Hematemesis | 22 | 1 | 14 |
| Hematochezia | 119 | 95 | 3 |
| Melena | 21 | 5 | 10 |
| Occult bleeding | 7 | 4 | 2 |
| Vomiting | 28 | 7 | 12 |
Correlation of symptoms with bleeding source.
| Upper gastrointestinal bleeding | Lower gastrointestinal bleeding | ||||||
| Parameter | CC |
| n | CC |
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| Anemia on admission | 0.27 | 0.007 | 96 | – 0.23 | 0.027 | 96 | |
| Peritonism | 0.24 | 0.013 | 106 | 0.04 | 0.698 | 106 | |
| Malignancy | 0.20 | 0.030 | 124 | – 0.21 | 0.020 | 124 | |
| Abdominal pain | 0.19 | 0.047 | 110 | – 0.16 | 0.090 | 110 | |
| Hematologic comorbidity | 0.3 | 0.156 | 124 | 0.03 | 0.732 | 124 | |
| Occult bleeding | 0.09 | 0.344 | 124 | – 0.10 | 0.276 | 124 | |
| Abdominal tenderness | 0.06 | 0.533 | 109 | – 0.01 | 0.939 | 109 | |
| Age | 0.05 | 0.567 | 124 | 0.00 | 0.982 | 124 | |
| Sex | – 0.01 | 0.919 | 124 | – 0.01 | 0.955 | 124 | |
| Severe anemia on admission | – 0.02 | 0.922 | 44 | 0.02 | 0.895 | 44 | |
| Obstipation | – 0.11 | 0.255 | 106 | 0.11 | 0.255 | 106 | |
| Failure to thrive | – 0.13 | 0.183 | 111 | 0.13 | 0.183 | 111 | |
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Bold: parameters selected for the neural network analysis; CC: correlation coefficient, CC > 0: correlation with upper gastrointestinal bleeding, CC < 0: correlation with lower gastrointestinal bleeding.
Training and test dataset for the neuronal network analysis.
| Trainingn = 63 | Testn = 63 | |
| Upper gastrointestinal bleeding | 11 (18 %) | 12 (19 %) |
| Lower gastrointestinal bleeding | 52 (84 %) | 51 (82 %) |
| Hematochezia | 49 (79 %) | 51 (82 %) |
| Hematemesis | 6 (10 %) | 10 (16 %) |
| Melena | 9 (15 %) | 6 (10 %) |
| Hepatobiliary disease | 4 (6 %) | 4 (6 %) |
| Renal disease | 3 (5 %) | 0 (0 %) |
| Cardiac disease | 4 (6 %) | 5 (8 %) |
| Week of bleeding -- median (range) | 2 (0 – 104) | 3 (0 – 78) |
Fig. 1Suggested investigative management algorithm for patients with upper and lower gastrointestinal bleeding based on the statistical analysis and neural network analysis. Hematochezia is a sensitive and specific marker for lower gastrointestinal bleeding and should prompt colonoscopy. Hematemesis or melena are indicative of upper gastrointestinal bleeding and should be followed up by EGD. If the patient requires general anesthesia, both EGD and colonoscopy should be performed. In the rare case of peracute bleeding and hemodynamic instability, other diagnostic tools such as angiography or surgical exploration seem warranted. If no source of bleeding is found during the first endoscopic procedure, additional procedures are often non-diagnostic. Further diagnostic workup should therefore only be considered in case of ongoing gastrointestinal bleeding requiring blood transfusions.