JTCVS openPub Date : 2024-10-01DOI: 10.1016/j.xjon.2024.04.014
{"title":"Are there etiology-specific risk factors for adverse outcomes in patients on Impella 5.5 support?","authors":"","doi":"10.1016/j.xjon.2024.04.014","DOIUrl":"10.1016/j.xjon.2024.04.014","url":null,"abstract":"<div><h3>Objectives</h3><div>To identify possible etiology-specific differences in preoperative risk factors for major adverse events during Impella 5.5 support in patients with ischemic (ICM) and nonischemic cardiomyopathy (NICM).</div></div><div><h3>Methods</h3><div>From October 2019 to January 2023, 228 Impella 5.5 devices were inserted at our institution. Patients were stratified into ICM (n = 124) and NICM (n = 104) cohorts. The primary outcome was a composite of death/stroke/new-onset dialysis while actively receiving Impella 5.5 support. Random forests identified preoperative factors predictive of the primary outcome separately for each cohort, with ranking by variable importance.</div></div><div><h3>Results</h3><div>The primary outcome occurred in 42 (34%) patients with ICM and 35 (34%) patients with NICM. Twenty-one (17%) patients with ICM and 21 (20%) patients with NICM died on Impella 5.5; stroke occurred in 12 (9.7%) patients with ICM and 3 (2.9%) patients with NICM, and new-onset dialysis was initiated in 23 (19%) patients with ICM and 24 (23%) patients with NICM while actively receiving Impella 5.5 support. Risk factors reflecting systemic and myocardial cellular injury, end-organ and cardiopulmonary failure, right ventricular dysfunction, and smaller left ventricular dimensions were most predictive of adverse outcomes in both cohorts. Indications for Impella 5.5 and device strategy (bridge to recovery, advanced therapies, or decision) were not top risk factors in either cohort.</div></div><div><h3>Conclusions</h3><div>Risk factors related to preoperative stability, right ventricular dysfunction, and left ventricular size were more predictive of adverse outcomes while actively receiving Impella 5.5 support than indication or device strategy. These factors could help identify high-risk patients who may benefit from additional tailored management to reduce their risk for these impactful adverse outcomes while on Impella 5.5 support.</div></div>","PeriodicalId":74032,"journal":{"name":"JTCVS open","volume":"21 ","pages":"Pages 123-137"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140768468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
JTCVS openPub Date : 2024-10-01DOI: 10.1016/j.xjon.2024.08.012
John Varlotto MD , Rick Voland PhD , Negar Rassaei MD , Dani Zander MD , Malcolm M. DeCamp MD , Jai Khatri MD , Yousef Shweihat MD , Kemnasom Nwanwene MD , Maria Tria Tirona MD , Thomas Wright MD , Toni Pacioles MD , Muhammad Jamil MD , Khuram Anwar MD , John Flickinger MD
{"title":"Lymphatic vascular invasion: Diagnostic variability and overall survival impact on patients undergoing surgical resection","authors":"John Varlotto MD , Rick Voland PhD , Negar Rassaei MD , Dani Zander MD , Malcolm M. DeCamp MD , Jai Khatri MD , Yousef Shweihat MD , Kemnasom Nwanwene MD , Maria Tria Tirona MD , Thomas Wright MD , Toni Pacioles MD , Muhammad Jamil MD , Khuram Anwar MD , John Flickinger MD","doi":"10.1016/j.xjon.2024.08.012","DOIUrl":"10.1016/j.xjon.2024.08.012","url":null,"abstract":"<div><h3>Objective</h3><div>The diagnostic criteria of lymphatic vascular invasion have not been standardized. Our investigation assesses the factors associated with lymphatic vascular invasion positive tumors and the impact of lymphatic vascular invasion on overall survival for patients with non–small cell lung cancer undergoing (bi)lobectomy with an adequate node dissection.</div></div><div><h3>Methods</h3><div>The National Cancer Database was queried from the years 2010 to 2015 to find surgical patients who underwent lobectomy with at least 10 lymph nodes examined (adequate node dissection) and with known lymphatic vascular invasion status. Paired <em>t</em> tests were used to distinguish differences between the patients with and without lymphatic vascular invasion in their specimen. Multivariable analysis was used to determine factors associated with overall survival. Propensity score matching adjusting for overall survival factors was used to determine the lymphatic vascular invasion's overall survival impact by grade, histology, p-T/N/overall stage, and tumor size.</div></div><div><h3>Results</h3><div>Lymphatic vascular invasion status was reported in 91.6% and positive in 23.4% of 28,842 eligible patients. Academic medical centers, institutions with populations more than 1,000,000, and the mid-Atlantic region reported higher rates of lymphatic vascular invasion positive tumors as well as overall survival compared with other cancer centers. Lymphatic vascular invasion was independently associated with a significant decrement in overall survival as per multivariable analysis and propensity score matching. Propensity score matching demonstrated that lymphatic vascular invasion was associated with a significant decrement in overall survival for all histologies, tumor grades, tumor sizes, and stages, except for more advanced pathologic stages T3/III/N2 and larger tumors greater than 4 cm for which overall survival was trending worse with lymphatic vascular invasion positive.</div></div><div><h3>Conclusions</h3><div>Lymphatic vascular invasion positive varies based on hospital location/type and population, but it was associated with a decrement in overall survival that was independent of pathologic T/N/overall stage, histology, and tumor grade. Lymphatic vascular invasion must be standardized and considered as a staging variable and should be considered as a sole determinant for prognosis, especially for those with earlier-stage and smaller tumors.</div></div>","PeriodicalId":74032,"journal":{"name":"JTCVS open","volume":"21 ","pages":"Pages 313-340"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
JTCVS openPub Date : 2024-10-01DOI: 10.1016/j.xjon.2024.06.020
Victoria Yin MD, MPH , Sean C. Wightman MD , Takashi Harano MD , Scott M. Atay MD , Anthony W. Kim MD
{"title":"Alternative discharge destination following lobectomy: Analysis of a national quality improvement database","authors":"Victoria Yin MD, MPH , Sean C. Wightman MD , Takashi Harano MD , Scott M. Atay MD , Anthony W. Kim MD","doi":"10.1016/j.xjon.2024.06.020","DOIUrl":"10.1016/j.xjon.2024.06.020","url":null,"abstract":"<div><h3>Objective</h3><div>To determine factors significantly associated with alternative discharge destination (ADCD) following lobectomy, including the modified 5-item Frailty Index (mFI-5).</div></div><div><h3>Methods</h3><div>Patients in the 2017-2020 NSQIP who underwent elective lobectomy and were admitted from home were included, with ADCD defined as a patient who was discharged to any nonhome location. Four multivariable logistic regression models for ADCD were evaluated for predictive power. Model A was created from backward selection of variables significantly associated with ADCD in bivariate analyses, model B was the mFI-5, model C was mFI-5 and a minimally invasive approach, and model D was mFI-5 and age group.</div></div><div><h3>Results</h3><div>Among the 15,868 patients, 687 (4.3%) experienced ADCD. Model A identified older age, hypertension, dyspnea, history of chronic obstructive pulmonary disease, and increased length of stay as significantly associated with ADCD. A minimally invasive approach was significantly protective of ADCD. Model A had the best predictive power of the models tested (C-statistic = 0.785). Model B, which assessed mFI-5 alone, had fair predictive power (C-statistic = 0.637). Adding surgical approach (C-statistic = 0.673; model C) or age group (C-statistic = 0.682; model D) as independent variables with mFI-5 improved model fit.</div></div><div><h3>Conclusions</h3><div>Patients who were frail or age >75 years were more likely to have postlobectomy ADCD. Although the variables identified in model A better predict ADCD, consideration of surgical approach or age with mFI-5 can help surgeons anticipate discharge destination following lobectomy.</div></div>","PeriodicalId":74032,"journal":{"name":"JTCVS open","volume":"21 ","pages":"Pages 349-357"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141692218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
JTCVS openPub Date : 2024-10-01DOI: 10.1016/j.xjon.2024.03.004
{"title":"Repair of acute type A aortic dissection: The simplest solution is not always the best","authors":"","doi":"10.1016/j.xjon.2024.03.004","DOIUrl":"10.1016/j.xjon.2024.03.004","url":null,"abstract":"","PeriodicalId":74032,"journal":{"name":"JTCVS open","volume":"21 ","pages":"Page 64"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140281706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
JTCVS openPub Date : 2024-10-01DOI: 10.1016/j.xjon.2024.07.008
{"title":"Commentator Discussion: Tricuspid valve surgery for acute infective endocarditis can be performed with very low operative mortality","authors":"","doi":"10.1016/j.xjon.2024.07.008","DOIUrl":"10.1016/j.xjon.2024.07.008","url":null,"abstract":"","PeriodicalId":74032,"journal":{"name":"JTCVS open","volume":"21 ","pages":"Pages 76-77"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
JTCVS openPub Date : 2024-10-01DOI: 10.1016/j.xjon.2024.07.018
Shihua Dou MD , Zhuofeng Li BS , Zhenbin Qiu MD , Jing Zhang PhD , Yaxi Chen MD , Shuyuan You MD , Mengmin Wang MD , Hongsheng Xie MD , Xiaoxiang Huang MD , Yun Yi Li , Jingjing Liu MD , Yuxin Wen MD , Jingshan Gong PhD , Fanli Peng MD , Wenzhao Zhong PhD , Xuegong Zhang PhD , Lin Yang PhD
{"title":"Improving prediction accuracy of spread through air spaces in clinical-stage T1N0 lung adenocarcinoma using computed tomography imaging models","authors":"Shihua Dou MD , Zhuofeng Li BS , Zhenbin Qiu MD , Jing Zhang PhD , Yaxi Chen MD , Shuyuan You MD , Mengmin Wang MD , Hongsheng Xie MD , Xiaoxiang Huang MD , Yun Yi Li , Jingjing Liu MD , Yuxin Wen MD , Jingshan Gong PhD , Fanli Peng MD , Wenzhao Zhong PhD , Xuegong Zhang PhD , Lin Yang PhD","doi":"10.1016/j.xjon.2024.07.018","DOIUrl":"10.1016/j.xjon.2024.07.018","url":null,"abstract":"<div><h3>Objectives</h3><div>To develop computed tomography (CT)-based models to increase the prediction accuracy of spread through air spaces (STAS) in clinical-stage T1N0 lung adenocarcinoma.</div></div><div><h3>Methods</h3><div>Three cohorts of patients with stage T1N0 lung adenocarcinoma (n = 1258) were analyzed retrospectively. Two models using radiomics and deep neural networks (DNNs) were established to predict the lung adenocarcinoma STAS status. For the radiomic models, features were extracted using PyRadiomics, and 10 features with nonzero coefficients were selected using least absolute shrinkage and selection operator regression to construct the models. For the DNN models, a 2-stage (supervised contrastive learning and fine-tuning) deep-learning model, MultiCL, was constructed using CT images and the STAS status as training data. The area under the curve (AUC) was used to verify the predictive ability of both model types for the STAS status.</div></div><div><h3>Results</h3><div>Among the radiomic models, the linear discriminant analysis model exhibited the best performance, with AUC values of 0.8944 (95% confidence interval [CI], 0.8241-0.9502) and 0.7796 (95% CI, 0.7089-0.8448) for predicting the STAS status on the test and external validation cohorts, respectively. Among the DNN models, MultiCL exhibited the best performance, with AUC values of 0.8434 (95% CI, 0.7580-0.9154) for the test cohort and 0.7686 (95% CI, 0.6991-0.8316) for the external validation cohort.</div></div><div><h3>Conclusions</h3><div>CT-based imaging models (radiomics and DNNs) can accurately identify the STAS status of clinical-stage T1N0 lung adenocarcinoma, potentially guiding surgical decision making and improving patient outcomes.</div></div>","PeriodicalId":74032,"journal":{"name":"JTCVS open","volume":"21 ","pages":"Pages 290-303"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
JTCVS openPub Date : 2024-10-01DOI: 10.1016/j.xjon.2024.08.004
Makoto Hibino MD, MPH, PhD , Nitish K. Dhingra MD , Raj Verma , Christoph A. Nienaber MD , Bobby Yanagawa MD, PhD , Subodh Verma MD, PhD
{"title":"Disparities in mortality rates from aortic aneurysm and dissection by country-level income status and sex","authors":"Makoto Hibino MD, MPH, PhD , Nitish K. Dhingra MD , Raj Verma , Christoph A. Nienaber MD , Bobby Yanagawa MD, PhD , Subodh Verma MD, PhD","doi":"10.1016/j.xjon.2024.08.004","DOIUrl":"10.1016/j.xjon.2024.08.004","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the impact of national income level and sex on mortality trends from aortic aneurysm and dissection in addition to all aortic disease as a whole.</div></div><div><h3>Methods</h3><div>Using data from the World Health Organization mortality database, we conducted an analysis of mortality trends from aortic disease between 2000 and 2019, Countries were categorized into middle-income and high-income countries (MICs and HICs) on the basis of income level. Age-standardized and sex-specific age-standardized mortality rates per 100,000 persons, along with male-to-female mortality ratios, were calculated. Trends over the study period were analyzed using joinpoint regression.</div></div><div><h3>Results</h3><div>Our analysis comprised 29 MICs and 46 HICs, with an average population of 595 million and 1042 million during the observation period. During the observation period, age-standardized mortality rates from aortic disease decreased to 2.21 (2.17-2.25) and 2.28 (2.26-2.30) in MICs and HICs, respectively (average annual percentage change of −0.5% in MICs and −1.8% in HICs, <em>P</em> < .05 for both). However, mortality rates from aortic dissection increased in HICs from 2000 to 2019 (average annual percentage change of 1.3%, <em>P</em> < .001). Mortality from aortic disease, aortic dissection, and aortic aneurysm were male dominant in MICs and HICs but decreasing trends during the observation periods except for aortic dissection in MICs.</div></div><div><h3>Conclusions</h3><div>We present the contemporary and comprehensive analysis of global socioeconomic status and aortic diseases mortality. Although trends of mortality from aortic diseases are on the decline in both MICs and HICs, there is a striking increase in mortality for aortic dissection, specifically in HICs.</div></div>","PeriodicalId":74032,"journal":{"name":"JTCVS open","volume":"21 ","pages":"Pages 224-238"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}