Transplant size mismatch in restrictive lung disease

Ganapathi, Asvin M.; Mulvihill, Michael S.; Englum, Brian R.; Speicher, Paul J.; Gulack, Brian C.; Osho, Asishana A.; Yerokun, Babatunde A.; Snyder, Laurie D.; Davis, Debra M.; Hartwig, Matthew G.

doi:10.1111/tri.12913

Cited by 23 publications

(11 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As in our study, donor age> 55 years and prolonged ischemic times have also been associated with worse survival outcomes [ 33 ], and donor age> 50 years has been independently associated with decreased survival [ 34 ]. In cases of differences in donor and recipient lung size, and when Taylor reduction surgery was sometimes necessary, x30 (Taylor measure, 1.34), in accordance with other studies, this size discrepancy increased mortality in cases of single undersized lung transplantation [ 35 ].…”

Section: Resultssupporting

confidence: 77%

New models for donor-recipient matching in lung transplantations

et al. 2021

View full text Add to dashboard Cite

Objective One of the main problems of lung transplantation is the shortage of organs as well as reduced survival rates. In the absence of an international standardized model for lung donor-recipient allocation, we set out to develop such a model based on the characteristics of past experiences with lung donors and recipients with the aim of improving the outcomes of the entire transplantation process. Methods This was a retrospective analysis of 404 lung transplants carried out at the Reina Sofía University Hospital (Córdoba, Spain) over 23 years. We analyzed various clinical variables obtained via our experience of clinical practice in the donation and transplantation process. These were used to create various classification models, including classical statistical methods and also incorporating newer machine-learning approaches. Results The proposed model represents a powerful tool for donor-recipient matching, which in this current work, exceeded the capacity of classical statistical methods. The variables that predicted an increase in the probability of survival were: higher pre-transplant and post-transplant functional vital capacity (FVC), lower pre-transplant carbon dioxide (PCO2) pressure, lower donor mechanical ventilation, and shorter ischemia time. The variables that negatively influenced transplant survival were low forced expiratory volume in the first second (FEV1) pre-transplant, lower arterial oxygen pressure (PaO2)/fraction of inspired oxygen (FiO2) ratio, bilobar transplant, elderly recipient and donor, donor-recipient graft disproportion requiring a surgical reduction (Tailor), type of combined transplant, need for cardiopulmonary bypass during the surgery, death of the donor due to head trauma, hospitalization status before surgery, and female and male recipient donor sex. Conclusions These results show the difficulty of the problem which required the introduction of other variables into the analysis. The combination of classical statistical methods and machine learning can support decision-making about the compatibility between donors and recipients. This helps to facilitate reliable prediction and to optimize the grafts for transplantation, thereby improving the transplanted patient survival rate.

show abstract

Section: Resultssupporting

confidence: 77%

New models for donor-recipient matching in lung transplantations

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Finally, comparing the results to Dalian City in Liaoning Province, another city in northeastern China, this study found lower rates of initial multidrug resistance (2.9%) and retreatment multidrug resistance (10.2%) compared to Dalian City's rates of 5.8% and 17.7%, respectively. This indicates that Jilin Province has a lower drug resistance rate and demonstrates effective control measures (Ganapathi et al, 2017;Wang et al, 2019). Overall, the drug resistance rates of both initially diagnosed and retreatment cases have decreased in recent years, but the decrease is more significant in initially diagnosed cases, while the drug resistance rate among retreatment cases continues to rise (Duan et al, 2016).…”

Section: Discussionmentioning

confidence: 91%

Analysis of drug resistance in pulmonary tuberculosis patients with positive sputum tuberculosis culture in Northeast China

Sichen,

Rui,

Yue

et al. 2023

Front. Pharmacol.

View full text Add to dashboard Cite

Objective: The objective of this study is to determine the drug resistance status of pulmonary tuberculosis patients in Jilin Province.Methods: A retrospective survey was conducted on 395 sputum culture TB-positive patients admitted to the tuberculosis hospital in Jilin Province in 2019. Sputum samples were cultured in acidic Roche medium. Drug sensitivity testing was conducted using the proportional method. Sensitivity was reported if the percentage of drug resistance was less than 1%, and resistance was reported if the percentage was ≥1%. Statistical analysis was performed using SPSS 22.0.Results: 395 tuberculosis patients with positive sputum tuberculosis culture were included in the study, with 102 being initially treated and 293 being retreated. The study population consisted of 283 males and 112 females. Sex, age, nationality, occupation, marital status, diabetes comorbidity, initial treatment, normal health status, BCG vaccine vaccination, smoking, and alcohol consumption were considered as factors that may affect the rate of multidrug resistance. And only the history of treatment (initial treatment) was associated with multidrug resistance (p = 0.032). This indicates that retreatment is the most significant risk factor for the occurrence of multidrug resistance in tuberculosis. The multidrug resistance rate in retreated patients is 3.764 times higher than that in initially treated patients.Conclusion: The prevalence of multidrug-resistant is higher in retreated patients compared to initially treated patients in the study population. Multidrug resistance is only associated with the treatment history (initial retreatment) and not with other factors.

show abstract

“…2 However, in recipients with restrictive lung disease specifically, single lung transplant recipients who received a donor lung with a lower or higher predicted total lung capacity and bilateral lung transplant recipients of slightly oversized lungs have a higher risk of mortality. 3 Due to limitations of database granularity, the role of diaphragm plication in these previous studies cannot be assessed, even though it was likely performed in some patients.…”

Section: Editorial: Discerning the Role Of Diaphragm Plication In Lun...mentioning

confidence: 99%

“…Convincing data from previous studies examining the ratio of donor‐to‐recipient predicted total lung capacity suggests that in recipients not categorized according to primary diagnosis, slightly oversized lung allografts are associated with improved survival after bilateral lung transplant 2 . However, in recipients with restrictive lung disease specifically, single lung transplant recipients who received a donor lung with a lower or higher predicted total lung capacity and bilateral lung transplant recipients of slightly oversized lungs have a higher risk of mortality 3 . Due to limitations of database granularity, the role of diaphragm plication in these previous studies cannot be assessed, even though it was likely performed in some patients.…”

mentioning

confidence: 99%