| Literature DB >> 35752831 |
Parisa Badiee1, Ali Amanati2, Fatemeh Ghasemi2, Hadis Jafarian2.
Abstract
BACKGROUND: The potential use of biomarkers in the diagnosis of fungal infections is a challenge. The aim of this study was to evaluate the role of a biomarker-guided antifungal stewardship program for hospitalized pediatrics suffering from invasive aspergillosis (IA).Entities:
Keywords: C-reactive protein; Invasive aspergillosis; Pediatrics; Procalcitonin; sTREM-1
Mesh:
Substances:
Year: 2022 PMID: 35752831 PMCID: PMC9233773 DOI: 10.1186/s13052-022-01306-6
Source DB: PubMed Journal: Ital J Pediatr ISSN: 1720-8424 Impact factor: 3.288
Clinical characteristics of the pediatric patients with invasive aspergillosis in Shiraz, southern Iran
| Demographic features | |
| Male/female (%) | 39/34 (53.4%/46.6%) |
| Age mean (range) | 5 years (10 month > 18 years) |
| Underlying Disease | |
| Hematologic disorders | 52 (71.2%) |
| Heart surgery | 8 (11%) |
| Liver Surgery | 6 (8.2%) |
| Immunodeficiency disease | 5 (6.8%) |
| AIDS | 1 (1.4%) |
| Diabetes | 1(1.4%) |
| Site of infection | |
| Lung | 38 (52%) |
| Liver | 24 (32.9%) |
| Heart | 7 (9.6%) |
| Sinuses | 5 (6.8%) |
| Kidney | 2 (2.7%) |
| Fever of unknown origin | 9 (12.3%) |
| Antifungal therapy | |
| Not used | 30 (41.1%) |
| Amphotericin B | 9 (12.3%) |
| Itraconazole | 4 (5.5%) |
| Voriconazole | 3 (4.1%) |
| Fluconazole | 8 (11%) |
| Combination therapya | 19 (26%) |
| Outcome | |
| Alive | 53 (72.6%) |
| Death | 20 (27.4%) |
aCombination of amphotericin B and voriconazole with caspofungin or amphotericin B, and Fluconazole
Fig. 1Median of biomarkers in patients suffering from invasive aspergillosis
The area under the curve (AUC), cut-off values, sensitivity, and specificity for biomarkers invasive aspergillosis cases
| sTREM-1 | Procalcitonin | Lactate dehydrogenase | C-reactive protein | White blood cells | Erythrocyte sedimentation rate | |
|---|---|---|---|---|---|---|
| AUC | 0.7 | 0.8 | 0.9 | 0.9 | 0.5 | 0.8 |
| 95% CIa | 0.6% to 0.8% | 0.75% to 0.84% | 0.85% to 97% | 0.85% to 0.94% | 0.45% to 0.58% | 0.73% to 0.85% |
| 0.003 | < 0.0001 | < 0.0001 | < 0.0001 | 0.29 | < 0.0001 | |
| Cut- off Value | > 190 | > 260 | > 252 | > 7 | ≤ 4930 | > 23 |
| Sensitivity | 71.2% | 80.8% | 91.8% | 90.4% | 49.3% | 83.6% |
| 95% CI | 59% to 81% | 70% to 88.2% | 83.2% to 96.2% | 81% to 96% | 37% to 61% | 73% to 91% |
| Specificity | 100% | 100% | 100% | 100% | 100% | 94.4% |
| 95% CI | 81.5% to100% | 81.5% to100% | 81.5% to100% | 81.5% to100% | 81.5% to100% | 72.7% to 99.9% |
| PPVa | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 98.4 |
| NPVa | 46.2 | 56.2 | 75 | 72 | 32.7 | 58.6 |
aCI confidence interval, PPV Positive Predictive Value, NPV Negative Predictive Value
Fig. 2Receiver operating characteristics curves for evaluating the diagnostic role of biomarkers in patients with invasive aspergillosis
Fig. 3A comparison chart of evaluated biomarkers in patients who have received antifungal agents and those who have not
Fig. 4A comparison chart of evaluated biomarkers in living and dead patients