Medical Course and Complications After Lung Transplantation
Ontology highlight
ABSTRACT:
SUBMITTER: Sher Y
PROVIDER: S-EPMC7122723 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Airway complications (ACs) after lung transplantation remain an important source of morbidity and mortality despite significant advances in the surgical technics, leading to increased cost, and decrease quality of life. The incidences of ACs after lung transplantation range from 2% to 33%, even though most transplant centers have reported rates in the range of 7% to 8%. However, the reported rate of ACs has been inconsistent as a result of a lack of standardized airway definitions and grading protocols before the recent 2018 International Society for Heart and Lung Transplantation (ISHLT) proposed consensus guidelines on ACs after lung transplantation. The ACs include stenosis, perioperative and postoperative bronchial infections, bronchial necrosis and dehiscence, excess granulation tissue, and tracheobronchomalacia (TBM). Anastomosis infection, necrosis, or dehiscence typically develops within the first month after lung transplantation. The most frequent AC after lung transplantation is bronchial stenosis. Several risk factors have been proposed to the development of ACs after lung transplantation, including surgical anastomosis techniques, hypoperfusion, infections, donor and recipient factors, immunosuppression agents, and organ preservation. ACs might be prevented by early recognition of the airway pathology, using advance medical management, and interventional bronchoscopy procedures. Balloon bronchoplasty, cryotherapy, laser photo resection, electrocautery, high-dose endobronchial brachytherapy, and bronchial stents placement are the most frequent interventional bronchoscopic procedures utilized for the management of ACs.
| S-EPMC8662498 | biostudies-literature
Project description:Ophthalmic complications in the lung transplant population are a little-known entity. It includes a spectrum of diseases ranging from infections such as cytomegalovirus (CMV) retinitis, herpetic keratitis, Pseudallescheria boydii to non-infectious complications such as posterior subcapsular cataracts (PSCs), cyclosporine retinopathy, and post-transplant lymphoproliferative disorder (PTLD). These diseases can be attributed to high levels of immunosuppression, advanced age, and drug-specific side effects. Underlying comorbidities such as diabetes mellitus may also play a role in the pathogenesis. Patients can present with varied symptoms such as blurry vision, floaters or eye pain. Prompt diagnosis often requires a high index of suspicion. With increasing numbers of transplants being performed worldwide, it is imperative for the pulmonologist and transplant physician to recognize these often subtle symptoms. Any visual symptom should trigger an ophthalmological evaluation in order to manage these complications; some of which pose the risk of systemic dissemination and significant morbidity. The following article provides an in-depth review of the common presenting symptoms, treatments and recent advances related to common ophthalmic complications following lung transplantation. While this article focuses on the lung transplant sub-population, the authors would like to point out that some of these complications are shared by other solid-organ transplants as well, by virtue of their shared immunosuppressive therapies.
| S-EPMC6297435 | biostudies-other
Project description:A 35-year-old woman underwent bilateral lung transplantation for primary ciliary dyskinesia and developed vascular tumors over a slow time course. Initial presentation of non-specific vascular tumors in the lungs and liver for up to 6 years after transplantation evolved toward bilateral ovarian angiosarcoma. Tumor analysis by haplotyping and human leukocyte antigen typing showed mixed donor chimerism, proving donor origin of the tumoral lesions. In retrospect, the donor became brain dead following neurosurgical complications for a previously biopsy-proven cerebral hemangioma, which is believed to have been a precursor lesion of the vascular malignancy in the recipient. Donor-transmitted tumors should always be suspected in solid organ transplant recipients in case of uncommon disease course or histology, and proper tissue-based diagnosis using sensitive techniques should be pursued.
| S-EPMC8761760 | biostudies-literature
Project description:Infections and primary graft dysfunction are devastating complications in the immediate postoperative period following lung transplantation. Nowadays, reliable diagnostic tools are not available. Biomarkers could improve early infection diagnosis.Multicentre prospective observational study that included all centres authorized to perform lung transplantation in Spain. Lung infection and/or primary graft dysfunction presentation during study period (first postoperative week) was determined. Biomarkers were measured on ICU admission and daily till ICU discharge or for the following 6 consecutive postoperative days.We included 233 patients. Median PCT levels were significantly lower in patients with no infection than in patients with Infection on all follow up days. PCT levels were similar for PGD grades 1 and 2 and increased significantly in grade 3. CRP levels were similar in all groups, and no significant differences were observed at any study time point. In the absence of PGD grade 3, PCT levels above median (0.50 ng/ml on admission or 1.17 ng/ml on day 1) were significantly associated with more than two- and three-fold increase in the risk of infection (adjusted Odds Ratio 2.37, 95% confidence interval 1.06 to 5.30 and 3.44, 95% confidence interval 1.52 to 7.78, respectively).In the absence of severe primary graft dysfunction, procalcitonin can be useful in detecting infections during the first postoperative week. PGD grade 3 significantly increases PCT levels and interferes with the capacity of PCT as a marker of infection. PCT was superior to CRP in the diagnosis of infection during the study period.
| S-EPMC5509107 | biostudies-literature
Project description:BackgroundAnastomotic complications are common after lung transplantation (1.4-33% of cases) and still associated with a high morbi-mortality.MethodsThe current study is a monocenter retrospective analysis of symptomatic anastomotic complications (SAC) occurring after lung transplantation between 2010 and 2016, using the macroscopic, diameter, and suture (M-D-S) classification from consensus of French experts in bronchoscopy. The objectives were to determine incidence from surgery, risk factors, and impact of survival of SAC. We defined SAC as M-D-S abnormalities (stenosis ⩾ 50% or dehiscence) requiring bronchoscopic or surgical interventions.ResultsA total of 121 patients were included. SAC occurred in 26.5% of patients (n = 32), divided in symptomatic stenosis for 23.7% (n = 29), and symptomatic dehiscence in 2.5% (n = 3). In multivariate analysis, donor bacterial lung infection [HR 2.08 (1.04-4.17), p = 0.04] and age above 50 years [HR 3.26 (1.04-10.26), p = 0.04] were associated with SAC occurrence. Cystic fibrosis etiology was associated with better survival on Kaplan-Meier curve (p < 0.001). SAC [HR 2.15 (1.07-4.32), p = 0.03] was independently associated with worst survival. The 29 symptomatic patients because of stenosis required endoscopic procedure, of whom 16 patients needed bronchial stent placement. Four patients underwent surgery: three patients because of dehiscence and one because of severe bilateral stenosis (re-transplantation).DiscussionSAC occurred in 26.5% of patients. Donor lung infection was the only alterable identified factors. The increase rate of SAC in older patients above 50 years of age encourages in regular endoscopic monitoring.
| S-EPMC9340386 | biostudies-literature
Project description:BackgroundExtracorporeal life support (ECLS) is not routinely used at our center during sequential single-lung transplantation (LTx), but is restricted to anticipate and overcome hemodynamic and respiratory problems occurring peri-operatively. In this retrospective descriptive cohort study, we aim to describe our single-center experience with ECLS in LTx, analyzing ECLS-related complications.MethodsAll transplantations with peri-operative ECLS use [2010-2020] were retrospectively analyzed. Multi-organ and heart-lung transplantation were excluded. Demographics, support type and indications are described. Complications are categorized according to the underlying nature and type. Data are presented as median [interquartile range (IQR)]. Kaplan-Meier was used for survival analysis.ResultsThe overall use of ECLS was 22% (156/703 patients) with a mean age of 52 years (IQR, 36-59 years). Transplant indications in ECLS cohort were interstitial lung disease (38%; n=60), chronic obstructive pulmonary disease (COPD) (19%; n=29), cystic fibrosis (17%; n=26) and others (26%; n=41). Per indication, 94% (15/16) of pulmonary arterial hypertension patients required ECLS, whereas only 8% (29/382) of COPD patients did. In 16% (25/156) of supported patients, veno-venous extracorporeal membrane oxygenation was initiated, while 77% (120/156) required veno-arterial support, and 7% (11/156) cardiopulmonary bypass. Thirty-day mortality was 6% (9/156). Sixteen percent (25/156) of patients were bridged to transplantation on ECLS and 24% (37/156) required post-operative support. Main reasons to use ECLS were intra-operative hemodynamic instability (53%; n=82), ventilation/oxygenation problems (22%; n=34) and reperfusion edema (17%; n=26). Overall incidence of patients with at least one ECLS-related complication was 67% (n=104). Most common complications were hemothorax (25%; n=39), need for continuous renal replacement therapy (19%; n=30), and thromboembolism (14%; n=22).ConclusionsECLS was required in 22% of LTxs, with a reported ECLS-related complication rate of 67%, of which the most common was hemothorax. Larger databases are needed to further analyze complications and develop tailored deployment strategies for ECLS-use in LTx.
| S-EPMC10713314 | biostudies-literature
Project description:Airway complications may occur after lung transplantation and are associated with considerable morbidity and mortality. We investigated the incidence, risk factors, and clinical characteristics of these complications. We retrospectively reviewed the medical records of 137 patients who underwent lung transplantation between 2008 and 2021. The median follow-up period was 20 months. Of the 137 patients, 30 (21.9%) had postoperative airway complications, of which 2 had two different types of airway complications. The most common airway complication was bronchial stenosis, affecting 23 patients (16.8%). Multivariable Cox analysis revealed that a recipient's body mass index ≥ 25 kg/m2 (hazard ratio [HR], 2.663; p = 0.013) was a significant independent risk factor for airway complications, as was postoperative treatment with extracorporeal membrane oxygenation (ECMO; HR, 3.340; p = 0.034). Of the 30 patients who had airway complications, 21 (70.0%) were treated with bronchoscopic intervention. Survival rates did not differ significantly between patients with and without airway complications. Thus, our study revealed that one fifth of patients who underwent lung transplantation experienced airway complications during the follow-up period. Obesity and receiving postoperative ECMO are risk factors for airway complications, and close monitoring is warranted in such cases.
| S-EPMC9837050 | biostudies-literature
Project description:Background: Heart rate variability (HRV) is a non-invasive marker of autonomic nervous system function that is based on the analysis of length differences between subsequent RR intervals of the electrocardiogram. The aim of this systematic review was to assess the current knowledge gap in the utility of HRV parameters and their value as predictors of the acute stroke course. Methods: A systematic review was performed in accordance with the PRISMA guidelines. Relevant articles published between 1 January 2016 and 1 November 2022 available in the PubMed, Web of Science, Scopus, and Cochrane Library databases were obtained using a systematic search strategy. The following keywords were used to screen the publications: “heart rate variability” AND/OR “HRV” AND “stroke.” The eligibility criteria that clearly identified and described outcomes and outlined restrictions on HRV measurement were pre-established by the authors. Articles assessing the relationship between HRV measured in the acute phase of stroke and at least one stroke outcome were considered. The observation period did not exceed 12 months. Studies that included patients with medical conditions influencing HRV with no established stroke etiology and non-human subjects were excluded from the analysis. To minimize the risk of bias, disagreements throughout the search and analysis were resolved by two independent supervisors. Results: Of the 1,305 records obtained from the systematic search based on keywords, 36 were included in the final review. These publications provided insight into the usability of linear and non-linear HRV analysis in predicting the course, complications, and mortality of stroke. Furthermore, some modern techniques, such as HRV biofeedback, for the improvement of cognition performance after a stroke are discussed. Discussion: The present study showed that HRV could be considered a promising biomarker of a stroke outcome and its complications. However, further research is needed to establish a methodology for appropriate quantification and interpretation of HRV-derived parameters.
| S-EPMC9947292 | biostudies-literature
Project description:BackgroundLung transplantation (LTx) is a crucial therapeutic strategy for patients suffering from end-stage respiratory diseases, necessitating precise donor-recipient size matching to ensure optimal graft function. While standard allocation protocols rely on predicted lung capacity based on factors such as sex, age, and height, a subset of patients with respiratory diseases presents an additional challenge - thoracic or vertebral deformities. These deformities can complicate accurate volume predictions and may impact the success of lung transplantation.MethodsIn this retrospective cohort study of patients who underwent LTx at Tohoku University Hospital between January 2007 and April 2022, with follow-up until October 2022, the primary objective was to assess the influence of thoracic and vertebral deformities on perioperative complications, emphasizing interventions, such as volume reduction surgery. The secondary objective aimed to identify any noticeable impact on long-term prognoses in recipients with these deformities.ResultsOf 129 LTx recipients analyzed, 17.8% exhibited thoracic deformities, characterized by pectus excavatum, while 16.3% had vertebral deformities. Perioperative complications, requiring delayed chest closure, tracheostomy, and volume reduction surgery, were more prevalent in the deformity group. Thoracic deformities were notably associated with the need for volume reduction surgery. However, long-term prognoses did not differ significantly between patients with deformities and those without. Vertebral deformities did not appear to significantly impact perioperative or long-term outcomes.ConclusionsThis study highlights the prevalence of thoracic deformities in LTx recipients, correlating with increased perioperative complications, particularly the potential need for volume reduction surgery. Importantly, these deformities do not exert a significant impact on long-term prognoses. Additionally, patients with vertebral deformities, such as scoliosis and kyphosis, appear to be manageable in the context of LTx.
| S-EPMC11256625 | biostudies-literature
Project description:BackgroundMachine learning has been used to develop predictive models to support clinicians in making better and more reliable decisions. The high volume of collected data in the lung transplant process makes it possible to extract hidden patterns by applying machine learning methods. Our study aims to investigate the application of machine learning methods in lung transplantation.MethodA systematic search was conducted in five electronic databases from January 2000 to June 2022. Then, the title, abstracts, and full text of extracted articles were screened based on the PRISMA checklist. Then, eligible articles were selected according to inclusion criteria. The information regarding developed models was extracted from reviewed articles using a data extraction sheet.ResultsSearches yielded 414 citations. Of them, 136 studies were excluded after the title and abstract screening. Finally, 16 articles were determined as eligible studies that met our inclusion criteria. The objectives of eligible articles are classified into eight main categories. The applied machine learning methods include the Support vector machine (SVM) (n = 5, 31.25%) technique, logistic regression (n = 4, 25%), Random Forests (RF) (n = 4, 25%), Bayesian network (BN) (n = 3, 18.75%), linear regression (LR) (n = 3, 18.75%), Decision Tree (DT) (n = 3, 18.75%), neural networks (n = 3, 18.75%), Markov Model (n = 1, 6.25%), KNN (n = 1, 6.25%), K-means (n = 1, 6.25%), Gradient Boosting trees (XGBoost) (n = 1, 6.25%), and Convolutional Neural Network (CNN) (n = 1, 6.25%). Most studies (n = 11) employed more than one machine learning technique or combination of different techniques to make their models. The data obtained from pulmonary function tests were the most used as input variables in predictive model development. Most studies (n = 10) used only post-transplant patient information to develop their models. Also, UNOS was recognized as the most desirable data source in the reviewed articles. In most cases, clinicians succeeded to predict acute diseases incidence after lung transplantation (n = 4) or estimate survival rate (n = 4) by developing machine learning models.ConclusionThe outcomes of these developed prediction models could aid clinicians to make better and more reliable decisions by extracting new knowledge from the huge volume of lung transplantation data.
| S-EPMC9784000 | biostudies-literature