Patterns of Circulating Cytokines and Vascular Markers' Response in the Presence of COVID-19 in Kidney Transplant Recipients Compared with Non-Transplanted Patients.

COVID-19's severity has been associated with a possible imbalance in the cross-regulation of cytokines and vascular mediators. Since the beginning of the pandemic, kidney transplant recipients (KTRs) have been identified as patients of high vulnerability to more severe diseases. Thus, aiming to describe the patterns of cytokines and vascular mediators and to trace patients' differences according to their KTR status, this prospective study enrolled 67 COVID-19 patients (20 KTRs) and 29 non-COVID-19 controls before vaccination. A panel comprising 17 circulating cytokines and vascular mediators was run on samples collected at different time points. The cytokine and mediator patterns were investigated via principal component analysis (PCA) and correlation-based network (CBN). In both groups, compared to their respective controls, COVID-19 was associated with higher levels of cytokines and vascular mediators. Differentiating between the KTRs and non-KTRs, the number of correlations was much higher in the non-KTRs (44 vs. 14), and the node analysis showed the highest interactions of NGAL and sVCAM-1 in the non-KTRs and KTRs (9 vs. 4), respectively. In the PCA, while the non-KTRs with COVID-19 were differentiated from their controls in their IL-10, IFN-α, and TNF-α, this pattern was marked in the NGAL, sVCAM-1, and IL-8 of the KTRs.

The risks of the new morbidities acquired during pediatric onco-critical care and their life-shortening effects.

OBJECTIVE: The authors investigated the functional status at ICU admission and at hospital discharge, and the impact of dysfunctions on survivors' lifespan. METHOD: Single-center retrospective cohort. The FSS (Functional Status Scale) was calculated at ICU admission and at hospital discharge. A new morbidity was defined as an increase in FSS ≥ 3. RESULTS: Among 1002 patients, there were 855 survivors. Of these, 194 (22.6%) had died by the end of the study; 45 (5.3%) had a new morbidity. Means in the motor domain at admission and discharge were 1.37 (SD: 0.82) and 1.53 (SD 0.95, p = 0.002). In the feeding domain, the means were 1.19 (SD 0.63) and 1.30 (SD 0.76), p = 0.002; global means were 6.93 (SD 2.45) and 7.2 (SD 2.94), p = 0.007.  Acute respiratory failure requiring mechanical ventilation, the score PRISM IV, age < 5 years, and central nervous system tumors were independent predictors of new morbidity. New morbidity correlated with lower odds of survival after hospital discharge, considering all causes of death (p = 0.014), and was independently predictive of death (Cox hazard ratio = 1.98). In Weibull models, shortening in the life span of 14.2% (p = 0.014) was estimated as a new morbidity. CONCLUSIONS: New morbidities are related to age, disease severity at admission, and SNC tumors. New morbidities, in turn, correlate with lower probabilities of survival and shortening of the remaining life span. Physical rehabilitation interventions in this population of children may have the potential to provide an increase in lifespan.

A pharmacokinetic model for voriconazole in a highly diversified population of children and adolescents with cancer.

BACKGROUND: The wide pharmacokinetic variability of voriconazole leads to uncertainty regarding adequate exposure. OBJECTIVES: To create a pharmacokinetic model that could help to explain the variability. METHODS: Retrospective review of paediatric patients with cancer. Models were built using Pmetrics. RESULTS: We analysed 158 trough measurements in 55 patients; in 41.8%, the serum levels were between 1 and 6 mg/L on initial measurement. After the measurements, dosage adjustments were made in 42 (76.3%) patients, and the percentage of adequate levels rose to 54.5%. Fourteen deaths (25.4%) were attributed to invasive fungal diseases. The mean serum levels were higher in deceased patients (mean ± SD: 3.1 ± 3.2 mg/L vs 2.5 ± 3.6 mg/L in survivors; P = 0.018), but the median doses per kg were higher in survivors. Drug exposure was also higher in deceased patients (mean ± SD of AUC: 19.2 ± 8.1 vs 9.5 ± 19.1 in survivors; P = 0.005). No correlation was found between serum concentrations <1 mg/L and death attributable to fungal disease. Bioavailability was estimated in 50%. The maximum velocity of clearance was reduced in deceased patients. CONCLUSIONS: Extremely ill patients can be poor metabolizers of voriconazole. Therapeutic monitoring promotes only a limited improvement in drug management.

Cytokine Kinetics in Febrile Neutropenic Children: Insights on the Usefulness as Sepsis Biomarkers, Influence of Filgrastim, and Behavior of the IL-23/IL-17 Pathway.

BACKGROUND: The study aimed to describe the kinetics of various cytokines from day 1 to day 14 of the onset of fever in neutropenic children and to evaluate their performances as discriminators of sepsis in the first 24 hours of fever, the possible influence of filgrastim, and the functioning of the IL-23/IL-17 axis. METHODS: IL-1ß, TNF-α, IL-10, IL-12/23p40, IL-21, IL-6, IL-8, IL-17, G-CSF, and GM-CSF were measured in plasma on days 1, 2, 3, 5, and 14 from the onset of fever in 35 patients. RESULTS: Thirteen patients (37.1%) developed sepsis. In mixed models, IL-6, IL-8, IL-10, and G-CSF showed higher estimated means in septic patients (P < 0.005), and IL-12/23p40 and IL-17 in nonseptic patients (P < 0.05). On day 1, IL-6, IL-8, and IL-10 appeared upregulated in patients who received filgrastim. Only IL-6, IL-8, IL-10, and procalcitonin were useful as discriminators of sepsis. Associating the markers with each other or to a risk assessment model improved performance. CONCLUSIONS: Cytokines kinetics showed proinflammatory and anti-inflammatory responses similar to what is described in nonneutropenic patients. IL-8, IL-6, IL-10, and procalcitonin are useful as early biomarkers of sepsis. Filgrastim upregulates expression of these markers, and we observed deficiency in the IL-23-IL-17 axis accompanying sepsis.