Infections in Children With Cancer: The Role of the Presence or Absence of Neutropenia.

BACKGROUND: Infections in patients with cancer are a major cause of morbidity and mortality. In most cases, the presence of neutropenia renders them prone to infections to either common or opportunistic pathogens. A wide spectrum of bacterial, viral, or fungal agents is encountered in these patients. AIM: The aim of this study was to evaluate infection types and pathogens in pediatric patients with cancer with and without neutropenia. METHODS: A total of 37 pediatric patients with cancer (median age ± 25% quartile, 6.0 ± 2.0% years) with 70 febrile episodes were evaluated at fever's onset and 48 hours later with complete blood count, C-reactive protein, cultures of biological fluids, polymerase chain reaction, and antibody titers. RESULTS: Of 70 infections, 30 (42.85%) were bacterial, 13 (18.57%) were viral, 3 (4.28%) were fungal, 16 (22.85%) were fever of unknown origin, 18 (25.71%) were opportunistic, and 12 (17.14%) were mixed infections. Neutropenia was detected in 42 (60.0%) of 70 febrile episodes, mainly in patients with hematological malignancies [odds ratio, 2.81 (0.96-8.22); P = 0.059]. Neutropenic patients had higher prevalence of mucocutaneous infections (47.6% vs 7.14%; P = 0.004). Herpes simplex virus 1 infections occurred only in the neutropenic group (14.3%). CONCLUSIONS: Patients with cancer exhibited a high prevalence of bacterial (42.85%), opportunistic (25.7%), and mixed infections (17.14%). Patients with hematological malignancies and neutropenia presented higher frequency of mucocutaneous and herpes simplex virus 1 infections than the nonneutropenic ones.

Validation of serum biomarkers derived from proteomic analysis for the early screening of preeclampsia.

AIM: To examine the potential value of previously identified biomarkers using proteomics in early screening for preeclampsia (PE). METHODS: 24 blood samples from women who subsequently developed PE and 48 from uncomplicated pregnancies were obtained at 11-13 weeks and analysed after delivery. Cystatin-C, sVCAM-1, and Pappalysin-1 were quantified by ELISA. Maternal characteristics and medical history were recorded. RESULTS: Median values of Cystatin-C, sVCAM-1, and Pappalysin-1 in the PE group as compared to controls were 909.1 gEq/mL versus 480.0 gEq/mL, P = .000, 832.0 gEq/mL versus 738.8 gEq/mL, P = .024, and 234.4 gEq/mL versus 74.9 gEq/mL, P = .064, respectively. Areas under the receiver-operating characteristic curves (AUC, standard error (SE)) for predicting PE were Cystatin-C: 0.90 (SE 0.04), VCAM-1: 0.66 (SE 0.074), and Pappalysin-1: 0.63 (SE 0.083). To discriminate between cases at risk for PE and normal controls, cut-off values of 546.8 gEq/mL for Cystatin-C, 1059.5 gEq/mL for sVCAM-1, and 220.8 gEq/mL for Pappalysin-1 were chosen, providing sensitivity of 91%, 41%, and 54% and specificity of 85%, 100%, and 95%, respectively. CONCLUSIONS: sVCAM-1 and Pappalysin-1 do not improve early screening for PE. Cystatin-C, however, seems to be associated with subsequent PE development, but larger studies are necessary to validate these findings.

Serum hepcidin and ferritin to iron ratio in evaluation of bacterial versus viral infections in children: a single-center study.

BACKGROUND: Differential diagnosis of childhood infections is important. Several biochemical indices steer diagnosis toward bacterial agents, although the data are often not definitive. Hepcidin is a central component of blood iron, and ferritin alterations occur during infections. We measured hepcidin changes and evaluated ferritin to iron ratio (FIR) in patients with suspected infections. METHODS: We studied 69 children with infection and an equal number of matched controls during a 3-year period. A bacterial agent was demonstrated in 17 and a viral pathogen in 52 of the patients. Hematologic and biochemical tests were performed on all children including ferritin, iron and hepcidin. FIR was calculated and receiver operating characteristic curve analysis was performed to evaluate the best FIR cutoff value to discriminate between patients and controls and between patients with bacterial infections and viral infections. RESULTS: Hepcidin, ferritin and FIR were significantly higher and iron values significantly lower in febrile patients than its controls. Patients with bacterial infection had significantly lower iron and higher FIR than those with viral infection. FIR had high accuracy discriminating patients from controls but only moderate accuracy discriminating bacterial from viral infected patients. CONCLUSIONS: If further studies with larger samples confirm these observations, FIR could be used as an inexpensive, rapid and easily performed complementary index for diagnosis of bacterial infections.