LIONS PREY: A New Logistic Scoring System for the Prediction of Malignant Pulmonary Nodules.

OBJECTIVES: Classifying radiologic pulmonary lesions as malignant is challenging. Scoring systems like the Mayo model lack precision in predicting the probability of malignancy. We developed the logistic scoring system 'LIONS PREY' (Lung lesION Score PREdicts malignancY), which is superior to existing models in its precision in determining the likelihood of malignancy. METHODS: We evaluated all patients that were presented to our multidisciplinary team between January 2013 and December 2020. Availability of pathological results after resection or CT-/EBUS-guided sampling was mandatory for study inclusion. Two groups were formed: Group A (malignant nodule; n = 238) and Group B (benign nodule; n = 148). Initially, 22 potential score parameters were derived from the patients' medical histories. RESULTS: After uni- and multivariate analysis, we identified the following eight parameters that were integrated into a scoring system: (1) age (Group A: 64.5 ± 10.2 years vs. Group B: 61.6 ± 13.8 years; multivariate p-value: 0.054); (2) nodule size (21.8 ± 7.5 mm vs. 18.3 ± 7.9 mm; p = 0.051); (3) spiculation (73.1% vs. 41.9%; p = 0.024); (4) solidity (84.9% vs. 62.8%; p = 0.004); (5) size dynamics (6.4 ± 7.7 mm/3 months vs. 0.2 ± 0.9 mm/3 months; p < 0.0001); (6) smoking history (92.0% vs. 43.9%; p < 0.0001); (7) pack years (35.1 ± 19.1 vs. 21.3 ± 18.8; p = 0.079); and (8) cancer history (34.9% vs. 24.3%; p = 0.052). Our model demonstrated superior precision to that of the Mayo score (p = 0.013) with an overall correct classification of 96.0%, a calibration (observed/expected-ratio) of 1.1, and a discrimination (ROC analysis) of AUC (95% CI) 0.94 (0.92-0.97). CONCLUSIONS: Focusing on essential parameters, LIONS PREY can be easily and reproducibly applied based on computed tomography (CT) scans. Multidisciplinary team members could use it to facilitate decision making. Patients may find it easier to consent to surgery knowing the likelihood of pulmonary malignancy. The LIONS PREY app is available for free on Android and iOS devices.

Technology-assisted behavioral intervention to encourage prehabilitation in frail older adults undergoing surgery: Development and design of the BeFitMe™ Apple Watch app.

Objective: Increasing the physical activity of frail, older patients before surgery through prehabilitation (prehab) can hasten return to autonomy and reduce complications postoperatively. However, prehab participation is low in the clinical setting. In this study, we re-design an existing prehab smartphone application (BeFitMe™) using a novel standalone Apple Watch platform to increase accessibility and usability for vulnerable patients. Methods: Design Science Research Methodology was used to (1) develop an approach to clinical research using standalone Apple Watches, (2) re-design BeFitMe™ for the Apple Watch platform, and (3) incorporate user feedback into app design. In phase 3, beta and user testers gave feedback via a follow-up phone call. Exercise data was extracted from the watch after testing. Descriptive statistics were used to summarize accessibility and usability. Results: BeFitMe™ was redesigned for the Apple Watch with full functionality without requiring patients to have an iPhone or internet connectivity and the ability to passively collect exercise data without patient interaction. Three study staff participated in beta testing over 3 weeks. Six randomly chosen thoracic surgery patients participated in user testing over 12 weeks. Feedback from beta and user testers was addressed with updated software (versions 1.0-1.10), improved interface and notification schemes, and the development of educational materials used during enrollment. The majority of users (5/6, 83%) participated by responding to at least one notification and data was able to be collected for 54/82 (68%) of the days users had the watches. The amount of data collected in BeFitMe™ Watch app increased from 2/11 (16%) days with the first patient tester to 13/13 (100%) days with the final patient tester. Conclusions: The BeFitMe™ Watch app is accessible and usable. The BeFitMe™ Watch app may help older patients, particularly those from vulnerable backgrounds with fewer resources, participate in prehab prior to surgery.

Cardiac surgeons' concerns, perceptions, and responses during the COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on health care and cardiac surgery. We report cardiac surgeons' concerns, perceptions, and responses during the COVID-19 pandemic. METHODS: A detailed survey was sent to recruit participating adult cardiac surgery centers in North America. Data regarding cardiac surgeons' perceptions and changes in practice were analyzed. RESULTS: Our study comprises 67 institutions with diverse geographic distribution across North America. Nurses were most likely to be redeployed (88%), followed by advanced care practitioners (69%), trainees (28%), and surgeons (25%). Examining surgeon concerns in regard to COVID-19, they were most worried with exposing their family to COVID-19 (81%), followed by contracting COVID-19 (68%), running out of personal protective equipment (PPE) (28%), and hospital resources (28%). In terms of PPE conservation strategies among users of N95 respirators, nearly half were recycling via decontamination with ultraviolet light (49%), followed by sterilization with heat (13%) and at home or with other modalities (13%). Reuse of N95 respirators for 1 day (22%), 1 week (21%) or 1 month (6%) was reported. There were differences in adoption of methods to conserve N95 respirators based on institutional pandemic phase and COVID-19 burden, with higher COVID-19 burden institutions more likely to resort to PPE conservation strategies. CONCLUSIONS: The present study demonstrates the impact of COVID-19 on North American cardiac surgeons. Our study should stimulate further discussions to identify optimal solutions to improve workforce preparedness for subsequent surges, as well as facilitate the navigation of future healthcare crises.

Does Tweeting Improve Citations? One-Year Results From the TSSMN Prospective Randomized Trial.

BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) is a collaborative effort of leading journals in cardiothoracic surgery to highlight publications via social media. This study aims to evaluate the 1-year results of a prospective randomized social media trial to determine the effect of tweeting on subsequent citations and nontraditional bibliometrics. METHODS: A total of 112 representative original articles were randomized 1:1 to be tweeted via TSSMN or a control (non-tweeted) group. Measured endpoints included citations at 1 year compared with baseline, as well as article-level metrics (Altmetric score) and Twitter analytics. Independent predictors of citations were identified through univariable and multivariable regression analyses. RESULTS: When compared with control articles, tweeted articles achieved significantly greater increase in Altmetric scores (Tweeted 9.4 ± 5.8 vs Non-tweeted 1.0 ± 1.8, P < .001), Altmetric score percentiles relative to articles of similar age from each respective journal (Tweeted 76.0 ± 9.1 percentile vs Non-tweeted 13.8 ± 22.7 percentile, P < .001), with greater change in citations at 1 year (Tweeted +3.1 ± 2.4 vs Non-Tweeted +0.7 ± 1.3, P < .001). Multivariable analysis showed that independent predictors of citations were randomization to tweeting (odds ratio [OR] 9.50; 95% confidence interval [CI] 3.30-27.35, P < .001), Altmetric score (OR 1.32; 95% CI 1.15-1.50, P < .001), open-access status (OR 1.56; 95% CI 1.21-1.78, P < .001), and exposure to a larger number of Twitter followers as quantified by impressions (OR 1.30, 95% CI 1.10-1.49, P < .001). CONCLUSIONS: One-year follow-up of this TSSMN prospective randomized trial importantly demonstrates that tweeting results in significantly more article citations over time, highlighting the durable scholarly impact of social media activity.

Social Media Improves Cardiothoracic Surgery Literature Dissemination: Results of a Randomized Trial.

BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) represents a collaborative effort of leading journals in cardiothoracic surgery to highlight publications via social media, specifically Twitter. We conducted a prospective randomized trial to determine the effect of scheduled tweeting on nontraditional bibliometrics of dissemination. METHODS: A total of 112 representative original articles (2017-2018) were selected and randomized 1:1 to an intervention group to be tweeted via TSSMN or a control (non-tweeted) group. Four articles per day were tweeted by TSSMN delegates for 14 days. Primary endpoints included change in article-level metrics (Altmetric) score pre-tweet and post-tweet compared with the control group. Secondary endpoints included change in Twitter analytics day 1 post-tweet and day 7 post-tweet for each article compared with baseline. RESULTS: Tweeting via TSSMN significantly improved article Altmetric scores (pre-tweet 1 vs post-tweet 8; P < .001), Mendeley reads (pre-tweet 1 vs post-tweet 3; P < .001), and Twitter impressions (day 1 post-tweet 1599 vs day 7 post-tweet 2296; P < .001). Subgroup analysis demonstrates that incorporating photos into the tweets trended toward increased link clicks to the full-text article (P = .08) whereas tweeting at 1 pm Eastern Standard Time and 9 pm Eastern Standard Time generated the highest and lowest audience reach (P = .022), respectively. Articles published in adult cardiac surgery achieved the highest change in Altmetric score (P = .028) and Mendeley reads (P = .028), and were more likely to be retweeted (P = .042) than were those published on education, general thoracic surgery, and congenital surgery. CONCLUSIONS: Social media highlights of scholarly literature via TSSMN Twitter activity improves article Altmetric scores, Mendeley reads, and Twitter analytics, with dissemination to a greater audience.

The Thoracic Surgery Social Media Network: Early Experience and Lessons Learned.

BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) is a social media collaborative formed in 2015 by The Annals of Thoracic Surgery and The Journal of Thoracic and Cardiovascular Surgery to bring social media attention to key publications from both journals and to highlight major accomplishments in the specialty. Our aim is to describe TSSMN's preliminary experience and lessons learned. METHODS: Twitter analytics was used to obtain information regarding the @TSSMN Twitter handle and #TSSMN hashtag. TweetChat and general hashtag #TSSMN analytics were measured using Symplur (Symplur LLC, Los Angeles, CA). A TSSMN Tweeter App was created, and its use and downloads were analyzed. RESULTS: Hashtag #TSSMN has a total of 17,181 tweets, 2,100 users, and 32,226,280 impressions, with peaks in tweeting activity corresponding to TweetChats. Thirteen 1-hour TweetChats drew a total of 489 participants, 5195 total tweets, and 17,297,708 total impressions. The top demographic category of TweetChat participants included Doctors (47%), Advocates/Supports (11%), and Unknown (10%), with 3% characterized as patients. The TSSMN Tweeter iTunes App (Apple, Cupertino, CA) was downloaded 3319 times with global representation. A total of 859 articles were viewed through the App, with 450 articles from The Annals of Thoracic Surgery and 409 from The Journal of Thoracic and Cardiovascular Surgery. CONCLUSIONS: We demonstrate that TSSMN further enhances the ability for the journals to connect with their readership and the cardiothoracic community. Ongoing studies to correlate social media attention with article reads, article-level metrics, citations, and journal impact factor are eagerly awaited.

The Thoracic Surgery Social Media Network: Early experience and lessons learned.

BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) is a social media collaborative formed in 2015 by The Annals of Thoracic Surgery and The Journal of Thoracic and Cardiovascular Surgery to bring social media attention to key publications from both journals and to highlight major accomplishments in the specialty. Our aim is to describe TSSMN's preliminary experience and lessons learned. METHODS: Twitter analytics was used to obtain information regarding the @TSSMN Twitter handle and #TSSMN hashtag. TweetChat and general hashtag #TSSMN analytics were measured using Symplur (Symplur LLC, Los Angeles, Calif). A TSSMN Tweeter App was created, and its use and downloads were analyzed. RESULTS: Hashtag #TSSMN has a total of 17,181 tweets, 2100 users, and 32,226,280 impressions, with peaks in tweeting activity corresponding to TweetChats. Thirteen 1-hour TweetChats drew a total of 489 participants, 5195 total tweets, and 17,297,708 total impressions. The top demographic category of TweetChat participants included Doctors (47%), Advocates/Supports (11%), and Unknown (10%), with 3% characterized as patients. The TSSMN Tweeter iTunes App (Apple, Cupertino, Calif) was downloaded 3319 times with global representation. A total of 859 articles were viewed through the App, with 450 articles from The Annals of Thoracic Surgery and 409 from The Journal of Thoracic and Cardiovascular Surgery. CONCLUSIONS: We demonstrate that TSSMN further enhances the ability for the journals to connect with their readership and the cardiothoracic community. Ongoing studies to correlate social media attention with article reads, article-level metrics, citations, and journal impact factor are eagerly awaited.

Surgeon as Programmer: Overcoming Obstacles to the Use of Modern Internet Technology for Cardiothoracic Surgery.

BACKGROUND: Leveraging Internet technologies for academic activities can be complex and expensive, costing tens of thousands of dollars. This report describes an experience in eliminating financial barriers and realizing the potential for a new paradigm in applications for surgical education and practice. METHODS: After developing multiple surgical smartphone applications (apps), the report describes the acquisition of skill sets and resources to create state-of-the-art tools. Learning these techniques is nontrivial but is attainable and clearly defined. The report then discusses the trivial costs associated with complex software development, thereby opening new doors to creative uses of technology. RESULTS: Acquisition of coding skills for smartphones took approximately 100 hours. For a simple app without data storage, EuroSCORE (European System for Cardiac Operative Risk Evaluation), total programming time was 25 hours with no additional costs. The more complex autonomy evaluation app, Zwisch Me, was used to evaluate more than 1260 cases from 15 cardiothoracic surgery training programs between January 2016 and August 2018 by using smartphone apps for data collection and a Web dashboard for data reporting. During the first year, all enrollment and data reporting was done manually, at a cost of $124. Automating user enrollment and data reporting increased costs by roughly $240, for an annual expense of $364. Total programming time for this app was approximately 120 hours. CONCLUSIONS: Mobile software is underused in the academic surgical arena. The historically large financial barriers to adoption can be overcome by acquisition of coding skills by surgical team members. Direct physician involvement will spawn previously undreamed-of creative applications to enhance practice and education.

Quality of Operative Performance Feedback Given to Thoracic Surgery Residents Using an App-Based System.

OBJECTIVE: Residents frequently report inadequate feedback both in quantity and quality. The study evaluates the quality of faculty feedback about operative performance given using an app-based system. DESIGN: Residents requested operative performance evaluation from faculty on a real-time basis using the "Zwisch Me!!" mobile application which allows faculty to provide brief written feedback. Qualitative analysis of feedback was performed using grounded theory. SETTING: The 7 academic medical centers with thoracic surgery training programs. PARTICIPANTS: Volunteer thoracic surgery residents in both integrated and traditional training pathways and their affiliated cardiothoracic faculty. RESULTS: Residents (n = 33) at 7 institutions submitted a total of 596 evaluations to faculty (n = 48). Faculty acknowledged the evaluation request in 476 cases (80%) and in 350 cases (74%) provided written feedback. Initial open coding generated 12 categories of feedback type. We identified 3 overarching themes. The first theme was the tone of the feedback. Encouraging elements were identified in 162 comments (46%) and corrective elements in 230 (65%). The second theme was the topic of the feedback. Surgical technique was the most common category at 148 comments (42.2%) followed by preparation for case (n = 69, 19.7%). The final theme was the specificity of the feedback. Just over half of comments (n = 190, 54.3%) contained specific feedback, which could be applied to future cases. However, 51 comments (14.6%) contained no useful information for the learners. CONCLUSIONS: An app-based system resulted in thoracic surgery residents receiving identifiable feedback in a high proportion of cases. In over half of comments the feedback was specific enough to allow improvement. Feedback was better quality when addressing error prevention and surgical technique but was less useful when addressing communication, flow of the case, and assisting. Faculty development around feedback should focus on making feedback specific and actionable, avoiding case descriptions, or simple platitudes.

Resident Autonomy in the Operating Room: Expectations Versus Reality.

BACKGROUND: There is concern about graduating thoracic trainees' independent operative skills due to limited autonomy in training. This study compared faculty and trainee expected levels of autonomy with intraoperative measurements of autonomy for common cardiothoracic operations. METHODS: Participants underwent frame-of-reference training on the 4-point Zwisch scale of operative autonomy (show and tell → active help → passive help → supervision only) and evaluated autonomy in actual cases using the Zwisch Me!! mobile application. A separate "expected autonomy" survey elicited faculty and resident perceptions of how much autonomy a resident should have for six common operations: decortication, wedge resection, thoracoscopic lobectomy, coronary artery bypass grafting, aortic valve replacement, and mitral valve repair. RESULTS: Thirty-three trainees from 7 institutions submitted evaluations of 596 cases over 18 months (March 2015 to September 2016). Thirty attendings subsequently provided their evaluation of 476 of those cases (79.9% response rate). Expected autonomy surveys were completed by 21 attendings and 19 trainees from 5 institutions. The six operations included in the survey constituted 47% (226 of 476) of the cases evaluated. Trainee and attending expectations did not differ significantly for senior trainees. Both groups expected significantly higher levels of autonomy than observed in the operating room for all six types of cases. CONCLUSIONS: Although faculty and trainees both expect similar levels of autonomy in the operating room, real-time measurements of autonomy show a gap between expectations and reality. Decreasing this gap will require a concerted effort by both faculty and residents to focus on the development of independent operative skills.

The Effect of Gender on Resident Autonomy in the Operating room.

OBJECTIVE: Discrimination against women training in medicine and surgery has been subjectively described for decades. This study objectively documents gender differences in the degree of autonomy given to thoracic surgery trainees in the operating room. DESIGN: Thoracic surgery residents and faculty underwent frame of reference training on the use of the 4-point Zwisch scale to measure operative autonomy. Residents and faculty then submitted evaluations of their perception of autonomy granted for individual operations as well as operative difficulty on a real-time basis using the "Zwisch Me!!" mobile application. Differences in autonomy given to male and female residents were elucidated using chi-square analysis and ordered logistic regression. SETTING: Seven academic medical centers with thoracic surgery training programs. PARTICIPANTS: Volunteer thoracic surgery residents in both integrated and traditional training pathways and their affiliated cardiothoracic faculty. RESULTS: Residents (n = 33, female 18%) submitted a total of 596 evaluations to faculty (n = 48, female 12%). Faculty gave less autonomy to female residents with only 56 of 184 evaluations (30.3%) showing meaningful autonomy (passive help or supervision only) compared to 107 of 292 evaluations (36.7%) at those levels for male residents (p = 0.02). Resident perceptions of autonomy showed even more pronounced differences with female residents receiving only 38 of 197 evaluations (19.3%) with meaningful autonomy compared to 133 of 399 evaluations (33.3%) for male residents (p < 0.001). Potential influencing factors explored included attending gender and specialty, case type and difficulty, and resident level of training. In multivariate analysis, only case difficultly, resident gender, and level of training were significantly related to autonomy granted to residents. CONCLUSIONS: Evaluations of operative autonomy reveal a significant bias against female residents. Faculty education is needed to encourage allowing female residents more operative autonomy.

The University of Minnesota Donor Lung Quality Index: A Consensus-Based Scoring Application Improves Donor Lung Use.

BACKGROUND: A simplified and consensus-based donor scoring process could improve donor lung use. METHODS: To develop the University of Minnesota Donor Lung Quality Index (UMN-DLQI), we used expert opinion to create an online survey that ranked 17 lung donor and recipient factors and graded their importance on a scale of 0 to 10. To arrive at consensus-based weights for each of the 17 factors, we used magnitude estimation (ME) methods. We performed receiver operating characteristic (ROC) analyses to evaluate predictive value. An application (app) was developed to simplify the scoring process. A second review process was instituted for every donor offer with an UMN-DLQI score greater than 40 as of September 2014 (post-donor score era). RESULTS: Worldwide, 11 transplantation centers (including ours) completed our survey. Results showed strong consensus among transplantation physicians across disparate practices. UMN-DLQI scores greater than 40 provided a sensitivity of 89%, a specificity of 55%, and a positive predictive value of 52% for donor offer acceptance. Number of transplants (63 versus 48) and donor lung use (15.1% versus 8.9%; p = 0.02) were significantly better in the post-donor score era without a penalty in transplantation outcomes. There was a trend toward a lower incidence of any primary graft dysfunction within 72 hours (40% versus 75%; p = 0.06) with a UMN-DLQI greater than 40 but no difference in 30-day or 1-year survival. CONCLUSIONS: The UMN-DLQI scoring app is a simple tool for describing the attributes of a donor lung offer. More attention to scores greater than 40 safely improved donor lung use at a single institution.

Rapid clinical evaluation: an early warning cardiac surgical scoring system for hand-held digital devices.

OBJECTIVES: The purpose of this study was to develop a new scoring system for the prompt recognition of clinical deterioration and early treatment in postoperative cardiac surgical patients. METHODS: All consecutive adult patients undergoing cardiac surgery between 1st January 2007 and 31st December 2010 were included. The new score was calculated daily until intensive care unit (ICU) discharge. The score consists of 11 variables representing six different organ systems. Performance was assessed using receiver-operating characteristic (ROC) curves and calibration tests. RESULTS: A total of 5207 patients with a mean age of 67.2 ± 10.9 years were admitted to the ICU after cardiac surgery. The operations performed covered the whole spectrum of cardiac surgery. ICU mortality was 5.9%. The mean length of ICU stay was 4.6 ± 7.0 days. The new score had an excellent discrimination with areas under the ROC curves between 0.91 and 0.96. Calibration was also excellent reflected by observed/expected mortality ratios ranging between 1.0 and 1.26. CONCLUSIONS: The new score is a simple and reliable scoring system to assess organ dysfunction in cardiac intensive care patients. It is designed especially for personal digital assistants to simplify and accelerate the process of risk stratification in cardiac surgical ICUs.