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Tsuang, Wayne

0000-0001-7375-3845

Mayo Clinic

Cleveland Clinic

Citations 3

Validation of Administrative Health Data for Identifying Cytomegalovirus Infection After Solid Organ Transplantation
Yetmar, Zachary A , Rust, Thomas J , Razonable, Raymund R , Koval, Christine E , Tsuang, Wayne

Transplant Infectious Disease | September 25, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1111/tid.70331 Get It

ABSTRACT Background Cytomegalovirus (CMV) infection is among the most common infections after solid organ transplantation and leads to high rates of morbidity and mortality. With the proliferation of large, claims‐based datasets, there is a need to assess the validity of ICD‐10‐CM codes in identifying CMV infection. Methods We conducted a retrospective cohort study of solid organ transplant recipients (SOTRs) from a regional health system who underwent first transplantation between January 1, 2016, and June 30, 2025, had at least 30 days of post‐transplant follow‐up, and had known donor/recipient CMV serostatus. We performed cross‐sectional and time‐to‐event analyses comparing the test performance of B25 ICD‐10‐CM codes in identifying CMV infection, clinically significant CMV infection (csCMVi), CMV disease, and CMV DNA reaching various thresholds. Results Of 8169 SOTRs, 3084 (37.8%) had B25 coded during follow‐up. In addition, 4287 (52.5%) developed CMV infection, 2356 (28.8%) csCMVi, 297 (3.6%) CMV disease, and 1669 (20.4%) CMV DNA ≥ 1000 IU/mL. B25 codes were most specific to any CMV infection (88.5%), most sensitive to CMV DNA ≥ 100 000 IU/mL (98.2%), and csCMVi had the highest Youden's Index (0.651; sensitivity 84.1%, specificity 81.0%). Multivariable Cox regression provided similar results but with variations in effect measure between ICD‐10‐CM codes and clinical CMV definitions. Conclusions ICD‐10‐CM codes showed modest performance in identifying CMV infection, most closely resembling csCMVi. ICD‐10‐CM codes poorly reflect CMV severity, however, and may overestimate CMV infection by some clinical definitions. These limitations should be considered when using CMV diagnosis codes for claims‐based studies of SOTRs.
Direct health care costs associated with asthma hospitalizations before and during the COVID-19 pandemic in the United States: a nationwide inpatient sample analysis
Solanki, N. , Fakhry, Battoul , Zein, Joe , Zhāng, Peng , Attaway, Amy , Tsuang, Wayne

Critical Public Health | November 1, 2025 | Volume: 35 | Issue: 1 | Pages: No page available

10.1080/09581596.2025.2574956 Get It

Effect of Social Deprivation on Asthma Phenotype Varies by Sex and Race
Solanki, N. , Comhair, Suzy , Zein, Joe , Bleecker, Eugene R., Denlinger, Loren C. , Jarjour, N.N., Mauger, D. , Meyers, Deborah A. , Moore, W.C., Erzurum, Serpil C. , Fahy, John V. , Tsuang, Wayne , Castro, Mario , Levy, Bruce David , Wenzel, Sally E.

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A3440-A3440

10.1164/ajrccm.2025.211.abstracts.a3440 Get It

Abstract Introduction: The airway inflammation of asthma is characterized by immune phenotypes, often classified as Type 2 inflammation high or low. Social determinants of health (SDoH) can influence asthma risk and severity, but whether or not SDoH influence immune phenotypes is unclear. The social deprivation index (SDI) is a composite measure of seven neighborhood level characteristics: poverty level, less than 12 years of education, single parent household, living in rented housing unit, living in overcrowded housing unit, households without a car, and non-employed adults under 65 years of age. The scale of SDI ranges from 1 to 100, correlating with increasing deprivation. We hypothesized that social deprivation influences immune phenotype of asthma, and that deprivation effects vary by sex and race. Methods: Using the American Community Survey summary file spanning 2015 to 2019, we linked SDI to participant zip codes for 680 Black and White participants in the Severe Asthma Research Program (SARP), a NHLBI-multicenter network phenotyping asthma across the US from 2001-2024 (table 1). We compared SDI among the cohort by sex, race and asthma severity, and correlated SDI to superoxide dismutase (SOD) and T2-high biomarkers, such as eosinophils, IgE and Fraction of Exhaled Nitric Oxide (FENO). Results: SDI is similar across healthy and asthmatic participants (SDI: median [interquartile range]: healthy: 40 [56]; asthmatics: 51 [53], P = 0.53). When evaluated by race, SDI is significantly higher in Black asthmatics, independent of sex (SDI: Black male: 76 [4], White male: 35 [45]; P<0.0001; Black females: 77 [35], White females: 40 [45]; P<0.00010). Within SARP asthmatics, SDI shows a positive association with the T2 inflammatory markers, log IgE (R=0.13 [90%CI: 0.1, 0.2)] and log FENO (R=0.15 [90%CI: 0.1, 0.2]), while it correlates negatively with log of absolute neutrophil count (R= -0.12 [90%CI: -0.19,-0.1]). The antioxidant enzyme SOD increases with SDI (R=0.11, [90% CI: 0.04, 0.17]). Notably, within Black asthmatic males only, SDI is associated with Type 2 biomarkers, showing a positive correlation with log FENO (R=0.24 [90%CI: 0.1,0.4]) and negative correlation with log IgE levels (R= -0.25, [90% CI: -0.4, -0.1]). No association was found between SDI and eosinophils or with SOD in Black males. Conclusions: Neighborhood level social deprivation is associated with a unique asthma phenotype in Black males. Black males living at high social deprivation have a lower IgE and higher FENO, with no change in SOD activity.