Point-of-care lung ultrasound in paediatric critical and emergency care.

Ultrasound techniques have been developed since the past century and are becoming more useful in different areas of medical knowledge. More recently, lung ultrasound gained importance throughout artefacts analysis to help clinical evaluation at bedside and became subject of interest in the paediatric intensive care and emergency department settings for both procedural and diagnostic purposes. The normal pattern of lung ultrasound is defined by the presence of lung sliding associated with A-lines whereas B-lines may be representative of pathologic findings. This review focuses on some of the most common pulmonary conditions, their respective sonographic features and clinical implications in the emergency department and paediatric intensive care unit.

A deep learning model for prognosis prediction after intracranial hemorrhage.

BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) is a common life-threatening condition that must be rapidly diagnosed and treated. However, there is still a lack of consensus regarding treatment, driven to some extent by prognostic uncertainty. While several prediction models for ICH detection have already been published, here we present a deep learning predictive model for ICH prognosis. METHODS: We included patients with ICH (n = 262), and we trained a custom model for the classification of patients into poor prognosis and good prognosis, using a hybrid input consisting of brain CT images and other clinical variables. We compared it with two other models, one trained with images only (I-model) and the other with tabular data only (D-model). RESULTS: Our hybrid model achieved an area under the receiver operating characteristic curve (AUC) of .924 (95% confidence interval [CI]: .831-.986), and an accuracy of .861 (95% CI: .760-.960). The I- and D-models achieved an AUC of .763 (95% CI: .622-.902) and .746 (95% CI: .598-.876), respectively. CONCLUSIONS: The proposed hybrid model was able to accurately classify patients into good and poor prognosis. To the best of our knowledge, this is the first ICH prognosis prediction deep learning model. We concluded that deep learning can be applied for prognosis prediction in ICH that could have a great impact on clinical decision-making. Further, hybrid inputs could be a promising technique for deep learning in medical imaging.

Myeloid-derived suppressor cells adhere to physiologic STAT3- vs STAT5-dependent hematopoietic programming, establishing diverse tumor-mediated mechanisms of immunologic escape.

The receptor tyrosine kinase inhibitor, sunitinib, is astonishingly effective in its capacity to reduce MDSCs in peripheral tissues such as blood (human) and spleen (mouse), restoring responsiveness of bystander T lymphocytes to TcR stimulation. Sunitinib blocks proliferation of undifferentiated MDSCs and decreases survival of more differentiated neutrophilic MDSC (n-MDSC) progeny. Ironically, sunitinib's profound effects are observed even in a total absence of detectable anti-tumor therapeutic response. This is best explained by the presence of disparate MDSC-conditioning stimuli within individual body compartments, allowing sensitivity and resistance to sunitinib to coexist within the same mouse or patient. The presence or absence of GM-CSF is likely the major determinant in each compartment, given that GM-CSF's capacity to preempt STAT3-dependent with dominant STAT5-dependent hematopoietic programming confers sunitinib resistance and redirects differentiation from the n-MDSC lineage to the more versatile monocytoid (m-MDSC) lineage. The clinical sunitinib experience underscores that strategies for MDSC and Treg depletions must be mindful of disparities among body compartments to avoid sanctuary effects. Ironically, m-MDSCs manifesting resistance to sunitinib also have the greatest potential to differentiate into tumoricidal accessory cells, by virtue of their capacity to respond to T cell-secreted IFN-γ or to TLR agonists with nitric oxide and peroxynitrate production.

Case Report: Dilated Cardiomyopathy in a Newborn, a Potential Association With SARS-COV-2.

Objective: The objective of this study was to describe the clinical course of a newborn who developed dilated cardiomyopathy (DCM) after COVID-19 infection. Methods: We retrospectively assessed the clinical notes of a pediatric patient with decompensated heart failure and who was previously positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results: A 23-day-old newborn presented with diarrhea, hypoactivity, tachypnea, and lethargy. The infant progressed to develop respiratory failure and required orotracheal intubation due to apnea. A nasopharyngeal swab tested positive for SARS-COV-2. An echocardiogram (ECHO) demonstrated severe left ventricular dysfunction. The patient was discharged after 18 days with furosemide and angiotensin-converting enzyme inhibitors. During the follow-up period, the infant had two episodes of decompensated heart failure, with evidence of DCM. Investigations for known causes of secondary DCM were negative. The infant was promptly referred for heart transplantation. Conclusion: Although rare, we have observed a case of DCM in a newborn following COVID-19 disease. DCM may be a complication following COVID-19 disease in newborns.

Play behaviours and play object preferences of young children with autistic disorder in a clinical play environment.

Play is the primary occupation of childhood and provides a potentially powerful means of assessing and treating children with autistic disorder. This study utilized a cross-sectional comparison design to investigate the nature of play engagement in children with AD (n = 24), relative to typically developing children (n = 34) matched for chronological age. Play behaviours were recorded in a clinical play environment. Videotapes comprising 15 minutes of the children's spontaneous play behaviour were analysed using time-interval analysis. The particular play behaviours observed and play objects used were coded. Differences in play behaviours (p < 0.0001) and play object preferences (p < 0.0001) were identified between the groups. Findings regarding play behaviour contribute to contention in the literature surrounding functional and symbolic play. Explanations for play object preferences are postulated. Recommendations are made regarding clinical application of findings in terms of enhancing assessment and intervention by augmenting motivation.

Neonatal erythroderma as a first manifestation of Menkes disease.

Menkes disease is an X-linked recessive lethal multisystemic disorder of copper metabolism. Progressive neurodegeneration, connective tissue disturbances, and peculiar kinky hair are the main manifestations. The low serum copper and ceruloplasmin suggests the diagnosis, which is confirmed by mutation analysis of the ATP7A gene. We report an exceptional presentation of classic Menkes disease with neonatal erythroderma. Genetic study revealed a deletion in exons 8 to 12 in the ATP7A gene. This study could allow pediatricians and pediatric dermatologists to diagnose the disorder as early as possible to establish prompt treatment with parenteral copper-histidine supplementation to improve prognosis.

Further insights in trichothiodistrophy: a clinical, microscopic, and ultrastructural study of 20 cases and literature review.

BACKGROUND: Trichothiodistrophy (TTD) is a rare autosomal recessive condition that is characterized by a specific congenital hair shaft dysplasia caused by deficiency of sulfur associated with a wide spectrum of multisystem abnormalities. In this article, we study clinical, microscopic, and ultrastructural findings of 20 patients with TTD with the aim to add further insights regarding to this rare condition. Additionally, analyses of our results are compared with those extracted from the literature in order to enhance its comprehensibility. MATERIALS AND METHODS: TWENTY CASES OF TTD WERE INCLUDED: 7 from Mexico and 14 from Spain. Clinical, microscopic, scanning electron microscopy (SEM) studies and X-ray microanalysis (XrMa) were carried out in all of them. Genetic studies were performed in all seven Mexican cases. Patients with xeroderma pigmentosum and xeroderma pigmentosum/TTD-complex were excluded. RESULTS: Cuticular changes and longitudinal crests of the hair shaft were demonstrated. These crests were irregular, disorganized, following the hair longest axis. Hair shaft sulfur deficiency was disposed discontinuously and intermittently rather than uniformly. This severe decrease of sulfur contents was located close to the trichoschisis areas. Only five patients did not show related disturbances. Micro-dolichocephaly was observed in five cases and represented the most frequent facial dysmorphism found. It is also remarkable that all patients with urologic malformations also combined diverse neurologic disorders. Moreover, three Mexican sisters demonstrated the coexistence of scarce pubic vellus hair, developmental delay, onychodystrophy, and maxillar/mandibullar hypoplasia. CONCLUSIONS: TTD phenotype has greatly varied from very subtle forms to severe alterations such as neurologic abnormalities, blindness, lamellar ichthyosis and gonadal malformations. Herein, a multisystem study should be performed mandatorily in patients diagnosed with TTD.