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Shepshelovich, Daniel

https://orcid.org/0000-0002-9145-618X

Mayo Clinic

Columbia University Irving Medical Center

Citations 2

SPIROMICS HF: Rationale, Design, and Reproducibility of Measures
Barr, R. Graham , Lima, João A.C. , Prince, Martin R. , Abraham, Theodore P. , Agarwal, Prachi , Arora, Garima , Balasubramanian, Aparna , Barjaktarević, Igor , Bello, Natalie A. , Carr, James C. , Cooper, Christopher B. , Finn, J. Paul , Freed, Benjamin H. , Hansel, Nadia N. , Hsu, Jeffrey J. , Kitzman, Dalane W. , LaBounty, Troy , Lee, Yoo Jin , Liu, Jing , Lloyd, Steven G. , Markl, Michael , Ortega, Victor E. , Paine, Robert , Peters, Stephen P. , Schroeder, Joyce , Shepshelovich, Daniel , Sun, Yifei , Wells, J. Michael , Wieben, Oliver , Woodruff, Prescott G. , Ambale-Venkatesh, Bharath , Agarwal, Prachi P , Arora, Garima , Balasubramanian, Aparna , Barjaktarevic, Igor , Bello, Natalie A , Bluemke, David A , Budoff, Matthew , Carr, James C , Chaudhuri, Dipayan , Cooper, Christopher B , Couper, David , Finn, J Paul , Freed, Benjamin H , Han, MeiLan King , Hansel, Nadia N , Hsu, Jeffrey J , Kitzman, Dalane W , Krishnan, Jerry A , LaBounty, Troy M , Lee, Yoo Jin , Liu, Jing , Lloyd, Steven G , Mukherjee, Monica , Beussink-Nelson, Lauren , Ohar, Jill , Paine, Robert , Schroeder, Joyce D , Shen, Wei , Sun, Yifei , Vogel-Claussen, Jens , Watson, Karol E. , Wells, J Michael , Wieben, Oliver , Woodruff, Prescott G , Shah, Sanjiv J , Markl, Michael , Barr, R. Graham , Bluemke, David A. , Budoff, Matthew J. , Couper, David , Mukherjee, Monica , Vogel‐Claussen, Jens

Circulation: Heart Failure | November 5, 2025 | Volume: 18 | Issue: 12 | Pages: No page available

10.1161/circheartfailure.125.012833 Get It

BACKGROUND: Although chronic obstructive pulmonary disease (COPD) and heart failure with preserved ejection fraction often coexist with overlapping clinical features, they are usually studied separately. The SPIROMICS HF (Subpopulations and Intermediate Outcome Measures in COPD and Heart Failure Study) is testing hypotheses that new computed tomography emphysema subtypes are associated with specific cardiovascular phenotypes (eg, cor pulmonale , cor pulmonale parvus ), common airway branch variants are associated with right heart dysfunction, and symptomatic tobacco-exposed persons with preserved spirometry have signs of increased left ventricular afterload. METHODS: SPIROMICS is a multicenter observational study of COPD with extensive pulmonary phenotyping of participants with ≥20 pack-years smoking and nonsmoking controls. COPD and COPD severity were defined by standard spirometric criteria and symptomatic tobacco-exposed persons with preserved spirometry by ≥20 pack-years, normal spirometry, and COPD Assessment Test score >10. SPIROMICS HF selected all participants in SPIROMICS visit 5 at major sites. Its comprehensive speckle-tracking echocardiography, which included physiological perturbations of leg raise and low-intensity exercise, was harmonized prospectively with the Multi-Ethnic Study of Atherosclerosis Early Heart Failure and HeartSHARE (Combining Omics, Deep Phenotyping, and Electronic Health Records for Heart Failure Subtypes and Treatment Targets) studies. The cardiopulmonary magnetic resonance imaging protocol with gadolinium administration included myocardial fibrosis sequences, pulmonary angiography, time-resolved 3-dimensional cine magnetic resonance imaging (4-dimensional flow) of venous return, and metronome-paced tachypnea to induce dynamic hyperinflation. Coronary artery calcium was assessed on computed tomography scans. The Kansas City Cardiomyopathy Questionnaire was administered. RESULTS: Of the final sample of 753 participants, 57% had COPD (15% mild, 27% moderate, and 15% severe), 18% had symptomatic tobacco-exposed persons with preserved spirometry, 16% were smoking controls, and 8% were nonsmoking controls. Reproducibility of the main measures from speckle-tracking echocardiography (intraclass correlation coefficient, 0.83–0.99), exercise echocardiography (intraclass correlation coefficient, 0.71–0.99) and magnetic resonance imaging (intraclass correlation coefficient, 0.57–0.99) were good-to-excellent, including in severe COPD. CONCLUSIONS: SPIROMICS HF aims to characterize and understand cardiopulmonary interactions in COPD and COPD-related phenotypes to inform targeted treatments for combined cardiopulmonary failure.
Does ethnicity affect the relationship between body mass index (BMI) and overall survival (OS) in non-small cell lung cancer (NSCLC)? A pooled analysis of 17,326 International Lung Cancer Consortium (ILCCO) patients (pts).
Fares, Aline Fusco , Shepshelovich, Daniel , Brown, M. Catherine , Zhang, Jie , Schwartz, Ann G. , Chen, Chu , Adonina, Garcia, Down, Teare, Zuo-feng, Zhang, Brenner, Hermann , Hung, Rayjean J, Tardón, Adonina , Tardón, Adonina , Brenner, Hermann , Lin, Lu , Yang, Ping , Ryan, Bríd M. , Christiani, David C. , Schabath, Matthew B. , Shiraishi, Kouya , Marchand, Loı̈c Le , Xu, Wei , Hung, Rayjean J, Liu, Geoffrey

Journal of Clinical Oncology | May 27, 2019 | Volume: 37 | Issue: 15_suppl | Pages: 1562-1562

10.1200/jco.2019.37.15_suppl.1562 Get It

1562 Background: In Caucasian-predominant populations, overweight or obese NSCLC pts (BMI≥25-kg/m2) have better prognosis while underweight (BMI≤18.5-kg/m2) pts have a worse prognosis. A large pooled sample allowed us to evaluate the role of ethnicity in this BMI-NSCLC OS relationship. Methods: Using individual data, survival analysis was performed on 15 ILCCO studies, assessing the interactions between ethnicity and BMI on overall survival (OS). Adjusted Hazard Ratios (aHR) from Cox models and adjusted penalized smoothing spline plots were generated. Results: Among 13416 (77%) Caucasian, 2975 (17%) Asian, and 935 (5%) Black NSCLC pts analyzed, we confirmed that for all pts, being underweight at NSCLC diagnosis was associated with worse OS (aHR=1.68, CI 1.5-1.8, p<0.001), while overweight/obese pts had improved survival (aHR 0.89, CI 0.8-0.9, p<0.001), when compared to pts with normal BMI. In general, Black pts had poorer OS than Caucasian pts (aHR 1.26 CI 1.1-1.4, p<0.001). However, the BMI-OS relationship differed according to ethnicity (BMI-ethnicity interaction, p=0.009): Caucasian underweight pts had poorer OS (aHR 1.67, CI 1.5-1.8, P<0.001) while overweight/obese pts had improved OS (aHR 0.89, CI 0.8-0.9, P<0.001). In Asian pts, these two associations were aHR 1.15, CI 0.8-1.5, P=0.33, and aHR 0.91, CI 0.7-1.1, P=0.32, respectively. In Black pts, these two associations were aHR 1.06, CI 0.7-1.5, p=0.73 and 0.75, CI 0.6-0.8 p<0.001, respectively. For overweight/obese patients, as BMI rises from 25-kg/m2 through 45-kg/m2, the prognosis worsens for Caucasian pts, remains stable for Asian pts, but improves for Black pts. Conclusions: InCaucasian pts, being underweight had a greater negative impact on OS than for Asian or Black pts, while being obese had a greater beneficial impact in Blacks than in other ethnic groups. These ethnic differences likely reflect genetically-informed muscle/adipose tissue distributions, where Black pts may have less sarcopenic obesity than other ethnicities. In future prognostic studies, BMI relationships must account for ethnic differences.