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Your search keyword '"Hadjiliadis D"' showing total 3 results
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3 results on '"Hadjiliadis D"'

1. Delphipanel on Antimicrobial Stewardship and Management of Clinical Syndromes in Thoracic Organ Transplants and Mechanical Circulatory Device Recipients

Author

Luong, M., Silveira, F. P., Morrissey, O., Danziger-Isakov, L., Verschuuren, E., Wolfe, C. R., Hadjiliadis, D., Chambers, D., Patel, J. K., Dellgren, G., So, M., Verleden, G. M., Blumberg, E. A., Vos, R., Perch, M., Holm, A. M., Müller, N., Chaparro, C., Husain, S., and Groningen Institute for Organ Transplantation (GIOT)

Subjects
Pulmonary and Respiratory Medicine, Transplantation, Surgery, Cardiology and Cardiovascular Medicine
Published
2022

2. Lack of association of Aspergillus colonization with the development of bronchiolitis obliterans syndrome in lung transplant recipients: An international cohort study

Author

Law N, Hamandi B, Fegbeutel C, Silveira FP, Verschuuren EA, Ussetti P, Chin-Hong PV, Sole A, Holmes-Liew CL, Billaud EM, Grossi PA, Manuel O, Levine DJ, Barbers RG, Hadjiliadis D, Younus M, Aram J, Chaparro C, Singer LG, and Husain S

Subjects
BOS, aspergillus, colonization, lung transplantation, risk factors, humanities
Abstract

Bronchiolitis obliterans syndrome (BOS) is a major limitation in the long-term survival of lung transplant recipients (LTRs). However, the risk factors in the development of BOS remain undetermined. We conducted an international cohort study of LTRs to assess whether Aspergillus colonization with large or small conidia is a risk factor for the development of BOS.

Published
2019

3. Chest Computed Tomography Scores Are Predictive of Survival in Patients with Cystic Fibrosis Awaiting Lung Transplantation

Author

Martine, Loeve, Bruijne, M. D., Robinson, P., Aitken, M. L., Dodd, J. D., Tiddens, H. A., Assael, B. M., Aurora, P., Brink, M., Dupont, L. J., Faro, A., Ferkol, T., Fraioli, Francesco, Gallagher, C. C., Van De Graaf, E. A., Grasemann, H., Hadjiliadis, D., Van Hal, Peter T. W., Kanaan, R., Kraan, J., Lala, B., Lindblad, A., Jr Mallory, G. B., Nossent, G. D., Ocampo, M., Quattrucci, S., Phil, Robinson, Sermet, I., Solomon, M., Spencer, H., Staab, D., Stephen, Mj, Verschuuren, E. A., Williams, T. J., Pediatrics, Epidemiology, Radiology & Nuclear Medicine, and Pulmonary Medicine

Subjects
Adult, Male, Pulmonary and Respiratory Medicine, lung disease, medicine.medical_specialty, Adolescent, Cystic Fibrosis, Waiting Lists, medicine.medical_treatment, Kaplan-Meier Estimate, Critical Care and Intensive Care Medicine, Air trapping, Severity of Illness Index, Cystic fibrosis, Decision Support Techniques, Cohort Studies, Young Adult, Severity of illness, medicine, Humans, Lung transplantation, Child, Survival analysis, Proportional Hazards Models, Proportional hazards model, business.industry, Middle Aged, Prognosis, medicine.disease, cystic fibrosis, lung transplantation, tomography x-ray computed, waiting list survival, Child, Preschool, Multivariate Analysis, Female, Radiology, medicine.symptom, Tomography, X-Ray Computed, business, Bulla (amulet), Lung Transplantation, Lung allocation score
Abstract

Up to one-third of patients with cystic fibrosis (CF) awaiting lung transplantation (LTX) die while waiting. Inclusion of computed tomography (CT) scores may improve survival prediction models such as the lung allocation score (LAS).This study investigated the association between CT and survival in patients with CF screened for LTX.Clinical data and chest CTs of 411 patients with CF screened for LTX between 1990 and 2005 were collected from 17 centers. CTs were scored with the Severe Advanced Lung Disease (SALD) four-category scoring system, including the components infection/inflammation (INF), air trapping/hypoperfusion (AT), normal/hyperperfusion (NOR), and bulla/cysts (BUL). The volume of each component was computed using semiautomated software. Survival analysis included Kaplan-Meier curves and Cox regression models.Three hundred and sixty-six (186 males) of 411 patients entered the waiting list (median age, 23 yr; range, 5-58 yr). Subsequently, 67 of 366 (18%) died while waiting, 263 of 366 (72%) underwent LTX, and 36 of 366 (10%) were awaiting LTX at the census date. INF and LAS were significantly associated with waiting list mortality in univariate analyses. The multivariate Cox model including INF and LAS grouped in tertiles, and comparing tertiles 2 and 3 with tertile 1, showed waiting list mortality hazard ratios of 1.62 (95% confidence interval [95% CI], 0.78-3.36; P = 0.19) and 2.65 (95% CI, 1.35-5.20; P = 0.005) for INF, and 1.42 (95% CI, 0.63-3.24; P = 0.40), and 2.32 (95% CI, 1.17-4.60; P = 0.016) for LAS, respectively. These results indicated that INF and LAS had significant, independent predictive value for survival.CT score INF correlates with survival, and adds to the predictive value of LAS.

Published
2012

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