6 research outputs found
L'Auto-vélo : automobilisme, cyclisme, athlétisme, yachting, aérostation, escrime, hippisme / dir. Henri Desgranges
04 octobre 19011901/10/04 (A2,N355)
Additional file 6 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data
Figure S4. Clonotypes quantification by ViDJil. ViDJil identifies an average number of clones equals to 37 in Pilot1 while in Pilot2 it does not identified any clonotypes. In the last column of the table is reported for each major clone the number of reads associates to it with respect to the total number of reads. The same data are also reported for the other clones identified. (PDF 51.9 kb
Additional file 5 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data
Figure S3. Clonotypes identification by ViDJil. The clonotypes identified by ViDJil in Pilot1 and Pilot2 are reported in the third column. In the fourth column are reported the clones passed the Phase A while in the fifth column there are the number of clones passed the Phase B. (PDF 46.4 kb
Additional file 7 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data
Figure S5. ViDJil and Sanger Sequence comparison. Nucleotide alignments between the complementary region 3 sequences (CDR3, indicated in bold and underline) Sanger sequence and the sequence identified by ViDJil. (PDF 60.9 kb
Additional file 2 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data
Figure S1. Whole methodology. The whole experimental and computational methodology presented in this paper. (PDF 885 kb
Age and frailty are independently associated with increased COVID-19 mortality and increased care needs in survivors: results of an international multi-centre study
Introduction: Increased mortality has been demonstrated in older adults with coronavirus disease 2019 (COVID-19), but the effect of frailty has been unclear.
Methods: This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS) and delirium on risk of increased care requirements on discharge, adjusting for the same variables.
Results: Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, interquartile range [IQR] 54–83; 55.2% male). The risk of death increased independently with increasing age (>80 versus 18–49: hazard ratio [HR] 3.57, confidence interval [CI] 2.54–5.02), frailty (CFS 8 versus 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease and cancer, but not delirium. Age, frailty (CFS 7 versus 1–3: odds ratio 7.00, CI 5.27–9.32), delirium, dementia and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9.
Conclusion: Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age.</p