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Objective CT aortic valve calcium score (AVCscore) and density (AVCdensity) thresholds have been recommended for aortic stenosis (AS) severity assessment in tricuspid aortic valve (TAV). We aimed to compare AVCscore and AVCdensity in bicuspid aortic valve (BAV) versus TAV. Methods Retrospective single-centre study of patients with echocardiographic AS-severity and CT-AVC assessments within 6 months, and left ventricular ejection fraction ≥50%, all referred for clinical AS evaluation. Severe AS was defined as aortic valve area (AVA) ≤1 cm2 or indexed AVA ≤0.6cm2/m2 plus mean gradient ≥40 mm Hg or peak velocity ≥4 m/s. AVC was assessed by Agatston method. Results Of the 1957 patients, 328 had BAV and 1629 had TAV, age 65±11 vs 80±9 years (p<0.001), men 65% vs 56% (p=0.006), respectively. BAV morphology was associated with higher AVCscore and AVCdensity independent of age, comorbidities and AS severity (p<0.001) in men only (sex and BAV interaction p<0.001). In patients with severe AS, mean AVCscore and AVCdensity were higher in BAV-men than that in TAV-men (both p<0.001), but similar in BAV-women and TAV-women (both p≥0.4). Such patterns remained the same after adjustment for clinical covariates and AS severity. Best thresholds for severe AS diagnosis in BAV-men were 2916 AU by AVCscore and 600 AU/cm2 by AVCdensity which were higher than the guideline-recommended thresholds, while thresholds in BAV-women (1036 AU and 282 AU/cm2) were similar to guideline-recommended ones. Conclusion Valve calcification in AS differs according to valve morphology and sex. BAV-men with severe AS exhibit greater AVCscore and AVCdensity than TAV-men. This presents a diagnostic challenge to the current guidelines, which needs confirmation in larger studies.

269 Background: There are strong data showing that patients (pts) with metastatic non-small cell lung cancer (NSCLC) receiving chemotherapy experience better quality of life (QOL) and longer overall survival (OS) when palliative care (PC) services are integrated early in their treatment course. Therefore, at our cancer center, pts with stage IV NSCLC have been referred to PC by oncology providers. In this study, we evaluated the uptake of PC services, specifically in pts with NSCLC who received immune checkpoint inhibitors (ICIs). ICIs have been considered to have less severe or less frequent adverse effects as compared to chemotherapy, possibly leading to fewer referrals to PC. Methods: We conducted a retrospective review of all pts at the Mayo Clinic Cancer Center in Florida who received single-agent ICI therapy for the treatment of stage IV NSCLC at any point between July 1, 2015, and July 1, 2022. The primary aim was to evaluate the uptake of PC services before or during treatment with ICIs. Descriptive statistics were used to characterize pt demographics and outcomes. Results: 129 pts were identified. 53.4% were male, and 46.6% were female. The majority of pts (84.4%) were white. 62 pts (48.0%) were seen by a PC provider before or during ICI treatment; 41 of these (31.7%) were seen by PC after starting ICI therapy. When grouped by year of ICI initiation, 30/73 pts (41.0%) treated between 2015 and June 2018 were seen by a PC provider, as compared to 15/31 pts (48.3%) treated between July 2018 and June 2020 and 17/25 pts (68.0%) treated between July 2020 and July 2022. Interestingly, the majority of pts who received PC services in the 2020-2022 group (12/17, or 70.5%) were seen by a PC provider for the first time prior to ICI initiation, whereas the majority of pts who received PC services prior to July 2020 (37/45, or 82.2%) were seen by a PC provider for the first time after ICI initiation. The mean number of PC visits increased from 1.59 in the 2015-2018 group to 1.84 in the 2018-2020 group and 4.96 in the 2020-2022 group. Conclusions: Uptake of PC services in pts with stage IV NSCLC receiving single-agent ICIs at our cancer center has increased over time, which is encouraging. Nevertheless, the numbers remain suboptimal, with less than 70% of pts receiving PC services. We plan to develop a multidisciplinary quality improvement project involving implementation of a mechanism to ensure that most patients with stage IV NSCLC, regardless of the type of systemic treatment they receive, are receiving PC services.

AbstractBackgroundRecent therapeutic advances and screening technologies have improved survival among patients with lung cancer, who are now at high risk of developing second primary lung cancer (SPLC). Recently, an SPLC risk‐prediction model (called SPLC‐RAT) was developed and validated using data from population‐based epidemiological cohorts and clinical trials, but real‐world validation has been lacking. The predictive performance of SPLC‐RAT was evaluated in a hospital‐based cohort of lung cancer survivors.MethodsThe authors analyzed data from 8448 ever‐smoking patients diagnosed with initial primary lung cancer (IPLC) in 1997–2006 at Mayo Clinic, with each patient followed for SPLC through 2018. The predictive performance of SPLC‐RAT and further explored the potential of improving SPLC detection through risk model‐based surveillance using SPLC‐RAT versus existing clinical surveillance guidelines.ResultsOf 8448 IPLC patients, 483 (5.7%) developed SPLC over 26,470 person‐years. The application of SPLC‐RAT showed high discrimination area under the receiver operating characteristics curve: 0.81). When the cohort was stratified by a 10‐year risk threshold of ≥5.6% (i.e., 80th percentile from the SPLC‐RAT development cohort), the observed SPLC incidence was significantly elevated in the high‐risk versus low‐risk subgroup (13.1% vs. 1.1%, p < 1 × 10–6). The risk‐based surveillance through SPLC‐RAT (≥5.6% threshold) outperformed the National Comprehensive Cancer Network guidelines with higher sensitivity (86.4% vs. 79.4%) and specificity (38.9% vs. 30.4%) and required 20% fewer computed tomography follow‐ups needed to detect one SPLC (162 vs. 202).ConclusionIn a large, hospital‐based cohort, the authors validated the predictive performance of SPLC‐RAT in identifying high‐risk survivors of SPLC and showed its potential to improve SPLC detection through risk‐based surveillance.Plain Language Summary Lung cancer survivors have a high risk of developing second primary lung cancer (SPLC). However, no evidence‐based guidelines for SPLC surveillance are available for lung cancer survivors. Recently, an SPLC risk‐prediction model was developed and validated using data from population‐based epidemiological cohorts and clinical trials, but real‐world validation has been lacking. Using a large, real‐world cohort of lung cancer survivors, we showed the high predictive accuracy and risk‐stratification ability of the SPLC risk‐prediction model. Furthermore, we demonstrated the potential to enhance efficiency in detecting SPLC using risk model‐based surveillance strategies compared to the existing consensus‐based clinical guidelines, including the National Comprehensive Cancer Network.

Abstract A 64-year-old man with interstitial pulmonary fibrosis and a small patent foramen ovale with right-to-left shunting underwent bilateral lung transplant without closure of the patent foramen ovale. Postoperatively, the patient remained persistently hypoxemic with partial response to high-flow oxygen. Investigations revealed the presence of a large patent foramen ovale with right-to-left shunting on echocardiography and a shunt fraction of 21% on cardiac catheterization. Two months after the lung transplantation, primary surgical repair of the patent foramen ovale was performed with immediate improvement in oxygenation. Three years postoperatively, the patient remained oxygen independent.

Abstract The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.

PURPOSE To provide evidence-based recommendations to practicing clinicians on the management of patients with small-cell lung cancer. METHODS An Expert Panel of medical oncology, thoracic surgery, radiation oncology, pulmonary, community oncology, research methodology, and advocacy experts were convened to conduct a literature search, which included systematic reviews, meta-analyses, and randomized controlled trials published from 1990 through 2022. Outcomes of interest included response rates, overall survival, disease-free survival or recurrence-free survival, and quality of life. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS The literature search identified 95 relevant studies to inform the evidence base for this guideline. RECOMMENDATIONS Evidence-based recommendations were developed to address systemic therapy options, timing of therapy, treatment in patients who are older or with poor performance status, role of biomarkers, and use of myeloid-supporting agents in patients with small-cell lung cancer. Additional information is available at www.asco.org/thoracic-cancer-guidelines .