Characterization of Disease Patterns in Children with Intracranial Abscesses for Enhanced Clinical Decision-Making
<p>Descriptive Analysis. (<b>a</b>) Sex distribution: 55.56% were male and 44.44% female. (<b>b</b>) Age distribution in years: between the ages of 2 years to 15 years with a mean age of 10.22 years. (<b>c</b>) Clinical symptoms distribution: headache (15.79%), seizures (10.53%), dizziness (5.26%), meningism (5.26%), ataxia (5.26%), and vomiting (5.26%), which can be summarized as neurological symptoms. Further symptoms were local pain (10.53%) and local mastoiditis (10.53%), which can be summarized as local symptoms. Frontal swelling (10.53%), and orbital swelling (5.26%), which can be described as swelling symptoms, and fever (15.79%). Summarized, neurological symptoms make up 47.36% of all symptoms, while local symptoms contribute 21.06%. Swelling symptoms and fever both make up 15.79% of all symptoms. (<b>d</b>) Distribution of pathogenesis: 77.78% sinusitis, 11.11% mastoiditis, and 11.11% otitis. (<b>e</b>) Outcome: 66.67% of all cases showed an outcome ad integrum, 22.22% of cases had a clinical residuum such as mild flaccid paralysis of the left side and small scotoma superior et inferior on the right side, and 11.11% of all cases had a relapse. (<b>f</b>) Anatomical region: 55.56% were located frontal and frontobasal, 33.33% temporal, and 11.11% cerebellar (11.11%). (<b>g</b>) Isolation of pathogen material: 84.62% of the abscess material could be isolated from the brain and 15.38% by PCR. (<b>h</b>) Isolated pathogens: <span class="html-italic">Streptococcus anginosus</span> (30.77%), <span class="html-italic">Streptocuccus pyogenes</span> (15.39%), Coagulase-negative staphylococci (CoNS) (15.39%), Methicillin-sensitive <span class="html-italic">Staphylococcus aureus</span> (MSSA) (7.69%), <span class="html-italic">Prevotella nigrescens</span> (7.69%), <span class="html-italic">Eikenella corrodens</span> (7.69%), <span class="html-italic">Acinetobacter baumanii</span> (7.69%), and <span class="html-italic">Aggregatibacter aphrophilus</span> (7.69%). Hence, streptococci were the most common pathogens (46.15%), followed by anaerobic bacteria (30.76%) and staphylococci (23.07%). There was no case in which MRSA was isolated. (<b>i</b>) Isolated pathogens and antibiotic treatment: regarding all isolated pathogen results (none, mono- and polybacterial results), 88.88% of pathogens were treated with a third-generation cephalosporin, 77.77% with metronidazole, 55.55% with vancomycin, 22.22% with both meropenem and flucloxacillin, and 11.11% with both amoxicillin/clavulanic acid and clindamycin.</p> "> Figure 2
<p>cMRI of pediatric intracranial abscesses. (<b>a</b>) Preoperative MRI scans of a 10-year-old male patient with pansinusitis and streptococcus anginosus infection, frontal and frontobasal intracranial brain abscess, midline shift subfalcine to the left, compressed right lateral ventricular anterior horn, and narrow sulcus drawing with stable spatial conditions. (<b>b</b>) Postoperative control MRI scans after abscess evacuation. (<b>c</b>) 5 months follow-up showing no delimitable hygromas or CSF leakage in the condition after neurosurgical hemicraniectomy and a known right hemispheric contrast enhancement. ax = axial, cor = coronal, sag = sagittal.</p> "> Figure 3
<p>Statistical Feature Correlation Analysis. (<b>a</b>) Workflow of feature correlation analysis: The data were collected in a table and converted to a matrix nominal-binary coded as 0 (not present) and 1 (present). A code was created iterating over all combinations of two features. For each combination, a contingency table is created. Firstly, the Cramer’s V effect size was calculated for all combinations of two features. Secondly, Fisher’s exact test was performed on every contingency table. The <span class="html-italic">p</span>-value was checked for significance. After that, a heatmap correlation plot based on Cramer’s V value of every possible feature combination was created. (<b>b</b>) Statistical feature correlation analysis: 861 different contingency tables were created. A total of 36 feature combinations could be identified with a Cramer’s V value equal to or higher than 0.7, which indicates a very strong association. Testing on Fisher’s exact test afterward, all in all, nine feature combinations could be identified as significant with a very strong association: female vs. male (<span class="html-italic">p</span> = 0.007) sinusitis vs. streptococcus pyogenes (<span class="html-italic">p</span> = 0.028), fever vs. temporal (<span class="html-italic">p</span> = 0.012), frontal and frontobasal vs. temporal (<span class="html-italic">p</span> = 0.047), fever vs. frontal and frontobasal (<span class="html-italic">p</span> = 0.047), female vs. metronidazole (<span class="html-italic">p</span> = 0.047), female vs. pathogen isolation brain (<span class="html-italic">p</span> = 0.047), male vs. metronidazole (<span class="html-italic">p</span> = 0.047), and male vs. pathogen isolation brain (<span class="html-italic">p</span> = 0.047).</p> ">
Abstract
:1. Introduction
2. Materials and Methods
2.1. Patient Selection
2.2. MRI
2.3. Statistics
3. Results
3.1. Epidemiology
3.2. Clinical Symptoms
3.3. Treatment
3.4. Etiology
3.5. Statistical Feature Correlation Analysis
3.6. Recommendations for Clinical Decision-Making
4. Discussion
4.1. Coherent Clinical Presentation of Children with Intracranial Abscesses with a Streptococcal and Anaerobic Pathogen Spectrum
4.2. Sinusitis as the Primary Cause of Intracranial Abscesses in Children: Successful Outcomes with Neurosurgical Craniotomy and Antibiotic Treatment Resulting in No Fatalities
4.3. Feature Analysis Reveals Clinical Feature Combinations to Be Considered for Early Diagnostics and Treatment
4.4. Decreased Overall Transmission of Respiratory Pathogens During COVID-19 Pandemic Maybe Led to a Shift in Incidence and a Seasonal Increase in Intracerebral Abscesses in Children Due to a Catch-Up Effect
4.5. Close Follow-Up Examinations for Children with Neurological Deficits After Early Intervention of Intracranial Abscesses May Require an Individualized Rehabilitation Plan to Improve Outcomes
4.6. Strengths and Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Middelkamp, M.; Kania, M.M.; Groth, F.S.; Ricklefs, F.L.; Dührsen, L. Characterization of Disease Patterns in Children with Intracranial Abscesses for Enhanced Clinical Decision-Making. Pediatr. Rep. 2024, 16, 1001-1013. https://doi.org/10.3390/pediatric16040085
Middelkamp M, Kania MM, Groth FS, Ricklefs FL, Dührsen L. Characterization of Disease Patterns in Children with Intracranial Abscesses for Enhanced Clinical Decision-Making. Pediatric Reports. 2024; 16(4):1001-1013. https://doi.org/10.3390/pediatric16040085
Chicago/Turabian StyleMiddelkamp, Maximilian, Marcus M. Kania, Friederike S. Groth, Franz L. Ricklefs, and Lasse Dührsen. 2024. "Characterization of Disease Patterns in Children with Intracranial Abscesses for Enhanced Clinical Decision-Making" Pediatric Reports 16, no. 4: 1001-1013. https://doi.org/10.3390/pediatric16040085
APA StyleMiddelkamp, M., Kania, M. M., Groth, F. S., Ricklefs, F. L., & Dührsen, L. (2024). Characterization of Disease Patterns in Children with Intracranial Abscesses for Enhanced Clinical Decision-Making. Pediatric Reports, 16(4), 1001-1013. https://doi.org/10.3390/pediatric16040085