Project description:ObjectiveReport long-term tracheostomy outcomes in patients with COVID-19.Study designReview of prospectively collected data.MethodsProspectively collected data were extracted for adults with COVID-19 undergoing percutaneous or open tracheostomy between April 4, 2020 and June 2, 2020 at a major medical center in New York City. The primary endpoint was weaning from mechanical ventilation. Secondary outcomes included sedation weaning, decannulation, and discharge.ResultsOne hundred one patients underwent tracheostomy, including 48 percutaneous (48%) and 53 open (52%), after a median intubation time of 24 days (IQR 20, 31). The most common complication was minor bleeding (n = 18, 18%). The all-cause mortality rate was 15% and no deaths were attributable to the tracheostomy. Eighty-three patients (82%) were weaned off mechanical ventilation, 88 patients (87%) were weaned off sedation, and 72 patients (71%) were decannulated. Censored median times from tracheostomy to sedation and ventilator weaning were 8 (95% CI 6-11) and 18 (95% CI 14-22) days, respectively (uncensored: 7 and 15 days). Median time from tracheostomy to decannulation was 36 (95% CI 32-47) days (uncensored: 32 days). Of those decannulated, 82% were decannulated during their index admission. There were no differences in outcomes or complication rates between percutaneous and open tracheostomy. Likelihood of discharge from the ICU was inversely related to intubation time, though the clinical relevance of this was small (HR 0.97, 95% CI 0.943-0.998; P = .037).ConclusionTracheostomy by either percutaneous or open technique facilitated sedation and ventilator weaning in patients with COVID-19 after prolonged intubation. Additional study on the optimal timing of tracheostomy in patients with COVID-19 is warranted.Level of evidence3 Laryngoscope, 131:E2849-E2856, 2021.
Project description:To advance the development of point-of-care technology (POCT), the National Institute of Biomedical Imaging and Bioengineering established the POCT Research Network (POCTRN), comprised of Centers that emphasize multidisciplinary partnerships and close facilitation to move technologies from an early stage of development into clinical testing and patient use. This paper describes the POCTRN and the three currently funded Centers as examples of academic-based organizations that support collaborations across disciplines, institutions, and geographic regions to successfully drive innovative solutions from concept to patient care.
Project description:Precision medicine, taking account of human individuality in genes, environment, and lifestyle for early disease diagnosis and individualized therapy, has shown great promise to transform medical care. Nontargeted metabolomics, with the ability to detect broad classes of biochemicals, can provide a comprehensive functional phenotype integrating clinical phenotypes with genetic and nongenetic factors. To test the application of metabolomics in individual diagnosis, we conducted a metabolomics analysis on plasma samples collected from 80 volunteers of normal health with complete medical records and three-generation pedigrees. Using a broad-spectrum metabolomics platform consisting of liquid chromatography and GC coupled with MS, we profiled nearly 600 metabolites covering 72 biochemical pathways in all major branches of biosynthesis, catabolism, gut microbiome activities, and xenobiotics. Statistical analysis revealed a considerable range of variation and potential metabolic abnormalities across the individuals in this cohort. Examination of the convergence of metabolomics profiles with whole-exon sequences (WESs) provided an effective approach to assess and interpret clinical significance of genetic mutations, as shown in a number of cases, including fructose intolerance, xanthinuria, and carnitine deficiency. Metabolic abnormalities consistent with early indications of diabetes, liver dysfunction, and disruption of gut microbiome homeostasis were identified in several volunteers. Additionally, diverse metabolic responses to medications among the volunteers may assist to identify therapeutic effects and sensitivity to toxicity. The results of this study demonstrate that metabolomics could be an effective approach to complement next generation sequencing (NGS) for disease risk analysis, disease monitoring, and drug management in our goal toward precision care.