Modifications in a patient's respiratory assistance were made depending on the clinical, blood gas, and radiologic evolution of the patient. Mean airway pressure and Fio2 values of >11.5 and 0.6, respectively, predict failure and possibly set the limit above the patient's risk of delayed intubation increases.
Meningococcal disease (MD) remains an important infectious cause of life threatening infection in both industrialized and resource poor countries. Genetic factors influence both occurrence and severity of presentation, but the genes responsible are largely unknown. We performed a genome-wide association study (GWAS) examining 5,440,063 SNPs in 422 Spanish MD patients and 910 controls. We then performed a meta-analysis of the Spanish GWAS with GWAS data from the United Kingdom (combined cohorts: 897 cases and 5,613 controls; 4,898,259 SNPs). The meta-analysis identified strong evidence of association (P-value ≤ 5 × 10−8) in 20 variants located at the CFH gene. SNP rs193053835 showed the most significant protective effect (Odds Ratio (OR) = 0.62, 95% confidence interval (C.I.) = 0.52–0.73; P-value = 9.62 × 10−9). Five other variants had been previously reported to be associated with susceptibility to MD, including the missense SNP rs1065489 (OR = 0.64, 95% C.I.) = 0.55–0.76, P-value = 3.25 × 10−8). Theoretical predictions point to a functional effect of rs1065489, which may be directly responsible for protection against MD. Our study confirms the association of CFH with susceptibility to MD and strengthens the importance of this link in understanding pathogenesis of the disease.
Introduction Medical care for ventilator-dependent children must avoid hospital confinement, which is detrimental to the patient, their family and Paediatric Intensive Care Unit. Our objective was to assess the role of telemedicine in facilitating early and permanent discharge of such patients to home care. Methods This was a prospective clinical study (2007–2017) in tracheotomised ventilator-dependent children. We used a Big Data Telemedicine home system (Medlinecare 2.1) from the Paediatric Intensive Care Unit. Specialised home-nursing services were available. Clinical events were analysed using the Chi-square test (significance p < 0.05). Families subsequently completed a satisfaction survey. The Paediatric Intensive Care Unit management indicators were analysed. Results All of our ventilator-dependent children were included ( n=12). At time of discharge from the Paediatric Intensive Care Unit, they all required continuous mechanical ventilation and met the criteria of groups I–III of the OTA classification. In the first two years there were 141 events; the main cause was respiratory (69.5%, p < 0.001) and telemedicine was the main care approach (86.5%, p < 0.001). Eleven events required hospitalisation (7.8%) but 38 (27.0%) hospitalisations were avoided. The emergency readmission time accounted for 0.99% of the total time. Six patients were decannulated, and one patient died due to primary cardiac arrest. All the families considered that the telemedicine had helped to avoid hospital visits, was not an intrusion into their privacy, and improved the child’s safety and quality of life. An improvement in Paediatric Intensive Care Unit indicators was achieved. Discussion Telemedicine facilitated early and permanent discharge of our ventilator-dependent children to home care without affecting their quality of care.
NIV can be successfully applied to infants and children with ARF using this volumetric ventilator with specific NIV mode. It should be considered particularly in children whose underlying condition warrants avoidance of intubation.
Introduction Advances in paediatric medicine have increased survival rates for patients with severe chronic illnesses, of which the most complex are ventilator-dependent children (VDCs). Although home care improves their quality of life, morbidity and mortality rates are high. Our aim was to study the medical complications (events) that occur at home and assess the usefulness of telemedicine in their detection and treatment. Methods A prospective clinical study (2007–2017) was performed for tracheotomised VDCs. We used a high-density data telemedicine monitoring system from our Paediatric Intensive Care Unit and analysed events during the first two years of home care to study how different variables inter-correlated with the four most common ones: hospital admissions, admissions avoided, event durations and life-threatening events (LTEs); the significance level was set at an alpha of 0.05 in all cases. Results All our VDCs were included ( n = 12); there were 141 events, and these were homogeneously distributed over the study period. The incidence was higher in children who were ventilator dependent for more than 12 h a day (70.9%, p < 0.001) and the main cause was respiratory (69.5%, p < 0.001). Telemedicine was the main initial care and monitoring approach (86.5% and 90.1%, respectively, p < 0.001); 13 events were LTEs, nine were resolved telemedically, four required medicalised transfer to hospital and three resulted in a hospital admission. Discussion Clinical complications are frequent in VDCs receiving home care, and respiratory decompensation is the most frequent cause. Telemedicine facilitated diagnosis and early treatment, and was useful in managing LTEs.
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