Publications by authors named "Ruben Nava"

Background: Organ procurement organizations coordinate organ donation through 2 distinct models of care: the conventional model, in which donors are managed at hospitals where brain death occurs, and the specialized donor care facility (SDCF) model, where brain dead donors are transferred to a freestanding facility. The aim of this study is to compare operating room efficiency for procurements between the SDCF and conventional models of care.

Methods: We performed a prospective analysis of operating room efficiency between thoracic donor procurement operations performed at a SDCF and other organ procurement organizations using the conventional model of care.

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Background: Currently, there is no consensus on how to comprehensively assess comorbidities in lung cancer patients in the clinical setting. Prescription medications may be a preferred comorbidity assessment tool and provide a simple mechanism for predicting postoperative outcomes for lung cancer. We examined the relationship between prescription medications and postoperative outcomes for early-stage non-small cell lung cancer (NSCLC).

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Article Synopsis
  • There aren't enough donor lungs for people who need them, so a special scoring system called the LUNDON score was created to help figure out which lungs are better for transplantation.
  • Researchers looked at data from brain-dead donors between 2014 and 2020 to see how well this score predicted successful lung recoveries.
  • They found that improving care for low-scoring donors really helped increase the number of usable lungs, and that using the LUNDON score can help get more organs available for transplant.
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Background: Lung cancer screening guidelines were introduced in the United States in 2013, with variable implementation. This study evaluated temporal diagnostic trends in non-small cell lung cancer (NSCLC) diagnosis since the introduction of these guidelines.

Methods: This retrospective cohort analysis used data from the Veterans Administration Corporate Data Warehouse and the National Cancer Database.

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Background: Large, node-negative but locally invasive non-small cell lung cancer (NSCLC) is associated with increased perioperative risk but improved survival if a complete resection is obtained. Factors associated with positive margins in this population are not well-studied.

Methods: We performed a retrospective cohort study using National Cancer Database (NCDB) for adult patients with >5 cm, clinically node-negative NSCLC with evidence of invasion of nearby structures [2006-2015].

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Complications after lung transplantation are largely related to the host immune system responding to the graft. Such immune responses are regulated by crosstalk between donor and recipient cells. A better understanding of these processes relies on the use of preclinical animal models and is aided by an ability to study intra-graft immune cell trafficking in real-time.

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Ischemia reperfusion injury (IRI) during lung transplantation is a major risk factor for post-transplant complications, including primary graft dysfunction, acute and chronic rejection, and mortality. Efforts to study the underpinnings of IRI led to the development of a reliable and reproducible mouse model of left lung hilar clamping. This model involves a surgical procedure performed in an anesthetized and intubated mouse.

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Lung transplantation (LTx) continues to have lower rates of long-term graft survival compared with other organs. Additionally, lung utilization rates from brain-dead donors remain substantially lower compared with other solid organs, despite a growing need for LTx and the significant risk of waitlist mortality. This study aims to examine the effects of using a combination of the recently described novel lung donor (LUNDON) acceptability score and the newly adopted recipient lung Composite Allocation Score (CAS) to guide transplantation.

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Article Synopsis
  • Ischemia/reperfusion injury (IRI) after lung transplantation leads to primary graft dysfunction (PGD), affecting both short and long-term outcomes for patients with severe respiratory failure.
  • B cells are quickly recruited to injured lungs and play a significant role by producing CCL7, which recruits classical monocytes and neutrophils, worsening lung function.
  • This research suggests that targeting B cells could be a promising therapeutic approach to improve lung transplantation outcomes, paving the way for future clinical trials.
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Objective: Adequate intraoperative lymph node (LN) assessment is a critical component of early-stage non-small cell lung cancer (NSCLC) resection. The National Comprehensive Cancer Network and the American College of Surgeons Commission on Cancer (CoC) recommend station-based sampling minimums agnostic to tumor location. Other institutions advocate for lobe-specific LN sampling strategies that consider the anatomic likelihood of LN metastases.

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Background: Chronic lung allograft dysfunction (CLAD) is the leading cause of death beyond the first year after lung transplantation. The development of donor-specific antibodies (DSA) is a recognized risk factor for CLAD. Based on experience in kidney transplantation, we hypothesized that belatacept, a selective T-cell costimulatory blocker, would reduce the incidence of DSA after lung transplantation, which may ameliorate the risk of CLAD.

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Objective: Approximately 3 million Americans served in the armed forces during the Vietnam War. Veterans have a higher incidence rate of lung cancer compared with the general population, which may be related to exposures sustained during service. Agent Orange, one of the tactical herbicides used by the armed forces as a means of destroying crops and clearing vegetation, has been linked to the development of several cancers including non-small cell lung cancer.

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The presence of bronchus-associated lymphoid tissue (BALT) in donor lungs has been suggested to accelerate graft rejection after lung transplantation. Although chronic smoke exposure can induce BALT formation, the impact of donor cigarette use on alloimmune responses after lung transplantation is not well understood. Here, we show that smoking-induced BALT in mouse donor lungs contains Foxp3 T cells and undergoes dynamic restructuring after transplantation, including recruitment of recipient-derived leukocytes to areas of pre-existing lymphoid follicles and replacement of graft-resident donor cells.

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Article Synopsis
  • Primary graft dysfunction (PGD) is a major cause of complications after lung transplant, occurring in 30% of patients in this study.
  • This research used machine learning to predict PGD grade 3 within 72 hours post-transplant by analyzing donor and recipient data known at the time of donor offer acceptance.
  • The final predictive model showed moderate accuracy (AUC of 0.65) and could potentially enhance matching and utilization of donors in lung transplantation.
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Background: Appropriate size matching between donor and recipient is critical for successful pulmonary transplantation. Although surrogate measurements such as height and gender are often utilized to approximate predicted lung volume, these methods provide only a gross estimation with wide variability and poor predictive value.

Case Description: A single center exploratory study was conducted in which four patients underwent lung transplantation (LT) with pre-operative computed tomography (CT) volumetry obtained in both the donor and recipient to facilitate decision making regarding organ size and suitability.

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Objective: National and institutional data suggest an increase in organ discard rate (donor lungs procured but not implanted) after a new lung allocation policy was introduced in 2017. However, this measure does not include on-site decline rate (donor lungs declined intraoperatively). The objective of this study is to examine the impact of the allocation policy change on on-site decline.

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Background: Accumulated knowledge on the outcomes related to size mismatch in lung transplantation derives from predicted total lung capacity equations rather than individualized measurements of donors and recipients. The increasing availability of computed tomography (CT) makes it possible to measure the lung volumes of donors and recipients before transplantation. We hypothesize that CT-derived lung volumes predict a need for surgical graft reduction and primary graft dysfunction.

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Background: Pulmonary carcinoid tumorlet (PCT) is defined as small proliferation of neuroendocrine cells that invade the adjacent basement membrane. It is often associated with chronic pulmonary inflammatory processes. However, the characteristics of PCT in end-stage lung diseases remain unclear.

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There is a chronic shortage of donor lungs for pulmonary transplantation due, in part, to low lung utilization rates in the United States. We performed a retrospective cohort study using data from the Scientific Registry of Transplant Recipients database (2006-2019) and developed the lung donor (LUNDON) acceptability score. A total of 83 219 brain-dead donors were included and were randomly divided into derivation (n = 58 314, 70%) and validation (n = 24 905, 30%) cohorts.

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Importance: Surgical resection remains the preferred treatment for functionally fit patients diagnosed with early-stage non-small cell lung cancer (NSCLC). Process-based intraoperative quality metrics (QMs) are important for optimizing long-term outcomes following curative-intent resection.

Objective: To develop a practical surgical quality score for patients diagnosed with clinical stage I NSCLC who received definitive surgical treatment.

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Background: Primary graft dysfunction (PGD) is the leading cause of death in the first 30 days after lung transplantation and is also associated with worse long-term outcomes. Outcomes of patients with PGD grade 3 requiring extracorporeal membrane oxygenation (ECMO) support after lung transplantation have yet to be well described. We sought to describe short- and long-term outcomes for patients with PGD grade 3 who required ECMO support.

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Background: Recent studies have suggested that more frequent postoperative surveillance imaging via computed tomography following lung cancer resection may not improve outcomes. We sought to validate these findings using a uniquely compiled dataset from the Veterans Health Administration, the largest integrated health-care system in the United States.

Methods: We performed a retrospective cohort study of veterans with pathologic stage I non-small cell lung cancer receiving surgery (2006-2016).

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Objective: The aim was to develop and validate the Veterans Administration (VA) Lung Cancer Mortality (VALCAN-M) score, a risk prediction model for 90-day mortality following surgical treatment of clinical stage I nonsmall-cell lung cancer (NSCLC).

Background: While surgery remains the preferred treatment for functionally fit patients with early-stage NSCLC, less invasive, nonsurgical treatments have emerged for high-risk patients. Accurate risk prediction models for postoperative mortality may aid surgeons and other providers in optimizing patient-centered treatment plans.

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