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2. Outcomes Among Trauma Patients with Duodenal Leak Following Primary vs Complex Repair of Duodenal Injuries: An EAST Multicenter Trial

Author

Choron, Rachel L., Teichman, Amanda, Bargoud, Christopher, Sciarretta, Jason D., Smith, Randi, Hanos, Dustin, Afif, Iman N., Beard, Jessica H., Dhillon, Navpreet K., Zhang, Ashling, Ghneim, Mira, Devasahayam, Rebekah J., Gunter, Oliver L., Jr, Smith, Alison A., Sun, Brandi, Cao, Chloe S., Reynolds, Jessica K., Hilt, Lauren A, Holena, Daniel N., Chang, Grace, Jonikas, Meghan, Echeverria-Rosario, Karla, Fung, Nathaniel S., Anderson, Aaron, Dumas, Ryan P., Fitzgerald, Caitlin A., Levin, Jeremy H., Trankiem, Christine T., Yoon, JaeHee, Blank, Jacqueline, Hazelton, Joshua P., McLaughlin, Christopher J., Al-Aref, Rami, Kirsch, Jordan M., Howard, Daniel S., Scantling, Dane R., Dellonte, Kate, Vella, Michael, Hopkins, Brent, Shell, Chloe, Udekwu, Pascal O., Wong, Evan G, Joseph, Bellal, Lieberman, Howard, Ramsey, Walter A, Stewart, Collin H., Alvarez, Claudia, Berne, John D., Nahmias, Jeffry, Puente, Ivan, Patton, Joe H., Jr., Rakitin, Ilya, Perea, Lindsey, Pulido, Odessa, Ahmed, Hashim, Keating, Jane, Kodadek, Lisa M., Wade, Jason, Henry, Reynold, Schreiber, Martin A., Benjamin, Andrew J., Khan, Abid, Mann, Laura K., Mentzer, Caleb J., Mousafeiris, Vasileios, Mulita, Francesk, Reid-Gruner, Shari, Sais, Erica, Foote, Christopher, Palacio, Carlos H, Argandykov, Dias, Kaafarani, Haytham, Coyle, Susette, Macor, Marie, Bover Manderski, Michelle T., Narayan, Mayur, and Seamon, Mark J.

Published
2023
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6. Electronic Health Record Prompt to Improve Lung Cancer Screening in Primary Care

Author

Steinberg, Michael B., primary, Young, William J., additional, Miller Lo, Erin J., additional, Bover-Manderski, Michelle T., additional, Jordan, Heather M., additional, Hafiz, Zibran, additional, Kota, Karthik J., additional, Mukherjee, Rohit, additional, Garthe, Nicolette E., additional, Sonnenberg, Frank A., additional, O'Dowd, Mary, additional, and Delnevo, Cristine D., additional

Published
2023
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8. Supplemental Table 4 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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9. Supplemental Table 6 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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10. Supplemental Table 5 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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11. Supplemental Table 3 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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12. Supplemental Table 2 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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13. Supplemental Figure 1 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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14. Supplemental Table 1 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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15. Data from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, primary, Sharma, Eva, primary, Wang, Lanqing, primary, Feng, June, primary, Blount, Benjamin C., primary, Sosnoff, Connie S., primary, Smith, Danielle M., primary, Goniewicz, Maciej L., primary, Pearson, Jennifer, primary, Villanti, Andrea C., primary, Delnevo, Cristine D., primary, Bover-Manderski, Michelle T., primary, Hatsukami, Dorothy K., primary, Niaura, Raymond, primary, Everard, Colm, primary, Kimmel, Heather L., primary, Duffy, Kara, primary, Rostron, Brian L., primary, Del Valle-Pinero, Arseima Y., primary, van Bemmel, Dana M., primary, Stanton, Cassandra A., primary, and Hyland, Andrew, primary

Published
2023
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16. Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author

Edwards, Kathryn C., primary, Khan, Asia, additional, Sharma, Eva, additional, Wang, Lanqing, additional, Feng, June, additional, Blount, Benjamin C., additional, Sosnoff, Connie S., additional, Smith, Danielle M., additional, Goniewicz, Maciej L., additional, Pearson, Jennifer, additional, Villanti, Andrea C., additional, Delnevo, Cristine D., additional, Bover-Manderski, Michelle T., additional, Hatsukami, Dorothy K., additional, Niaura, Raymond, additional, Everard, Colm, additional, Kimmel, Heather L., additional, Duffy, Kara, additional, Rostron, Brian L., additional, Del Valle-Pinero, Arseima Y., additional, van Bemmel, Dana M., additional, Stanton, Cassandra A., additional, and Hyland, Andrew, additional

Published
2023
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24. Prevalence of Comorbidities and Polypharmacy in a Historically Minoritized Community and Their Impact on Virologic Suppression in Persons with HIV.

Author

Jimenez, Humberto R., Bover Manderski, Michelle T., Natali, Kayla M., Boachie, Naana, and Suh, Jin S.

Subjects
*HIV infection epidemiology, *CONFIDENCE intervals, *POLYPHARMACY, *VIRAL load, *AGE distribution, *LIFE expectancy, *CROSS-sectional method, *ANTIRETROVIRAL agents, *RETROSPECTIVE studies, *ACQUISITION of data, *TREATMENT effectiveness, *INDEPENDENT living, *MEDICAL records, *DESCRIPTIVE statistics, *LOGISTIC regression analysis, *ODDS ratio, *COMORBIDITY
Abstract

Improved life expectancy from advances in antiretroviral therapy (ART) has been followed by a rise in comorbidities and polypharmacy in this aging population. Historically, polypharmacy has been associated with suboptimal virologic outcomes in persons with HIV, although data in the current ART era and among historically marginalized populations in the United States are limited. We measured the prevalence of comorbidities and polypharmacy, evaluating their impact on virologic suppression. This retrospective IRB-approved cross-sectional study reviewed health records of adults with HIV on ART and receiving care (≥2 visits) in 2019 at a single center in a historically minoritized community. Virologic suppression (HIV RNA <200 copies/mL) based on polypharmacy (≥5 non-HIV medications) or multimorbidity (≥2 chronic conditions) was evaluated. Logistic regression analyses were performed to identify factors associated with virologic suppression, with age, race/ethnicity, and CD4 < 200 cells/mm3 as covariates. Of the 963 individuals that met the criteria, 67%, 47%, and 34% had ≥1 comorbidity, multimorbidity, and polypharmacy, respectively. The cohort demographics were: mean of 49 years (range, 18–81), 40% cisgender women, 46% Latinx individuals, 45% Black individuals, 8% White individuals. Virologic suppression rates were 95% among patients with polypharmacy compared with 86% in those with a lower pill burden (p = 0.0001). The odds of virologic success were higher for individuals with polypharmacy [adjusted odds ratio, aOR = 2.3 (95% confidence interval, CI: 1.2–4.4)] and Latinx identity [aOR = 2.4 (95% CI: 1.5–3.8)], but lower if a CD4 count <200 cells/mm3 [aOR = 0.07 (95% CI: 0.04–0.1)]. The comorbidity burden was higher than previously described, which are driving polypharmacy rates. In the current ART era, polypharmacy is not inherently associated with worse virologic outcomes. [ABSTRACT FROM AUTHOR]

Published
2023
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25. Hookah Use among New Jersey Youth: Associations and Changes over Time

Author

Bover Manderski, Michelle T., Hrywna, Mary, and Delnevo, Cristine D.

Abstract

Objectives: To assess hookah use among youth for prevalence, associations, and changes over time. Methods: Data from the 2008 and 2010 New Jersey Youth Tobacco Survey were analyzed to examine hookah smoking by gender, race/ethnicity, and grade level. Results: Prevalence of hookah use increased significantly among black and Hispanic students. Frequency of use was generally occasional. In multivariate models, Asian race; Hispanic ethnicity; and concurrent use of cigarettes, cigars, and bidis predicted current hookah smoking. Conclusions: Prevalence of hookah use is rising among New Jersey's youth, particularly among minority populations, representing a growing public health concern.

Published
2012
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33. Continuation of therapeutic anticoagulation before and during hospitalization is associated with reduced mortality in COVID-19 ICU patients

Author

Choron, Rachel L., primary, Iacono, Stephen, additional, Maharaja, Karishma, additional, D. Adams, Christopher, additional, A. Butts, Christopher, additional, Bargoud, Christopher, additional, Teichman, Amanda L., additional, Krumrei, Nicole J., additional, Schroeder, Mary E., additional, Bover Manderski, Michelle T., additional, Rodricks, Michael B., additional, Lissauer, Matthew, additional, and Gupta, Rajan, additional

Published
2021
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36. The correlation of respiratory system compliance and mortality in COVID-19 acute respiratory distress syndrome: do phenotypes really exist?

Author

Choron, Rachel L., primary, Iacono, Stephen A., additional, Cong, Alexander, additional, Bargoud, Christopher G., additional, Teichman, Amanda L., additional, Krumrei, Nicole J., additional, Bover Manderski, Michelle T., additional, Rodricks, Michael B., additional, Gupta, Rajan, additional, and Lissauer, Matthew E., additional

Published
2021
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37. Fever in the ICU: A Predictor of Mortality in Mechanically Ventilated COVID-19 Patients

Author

Choron, Rachel L., primary, Butts, Christopher A., additional, Bargoud, Christopher, additional, Krumrei, Nicole J., additional, Teichman, Amanda L., additional, Schroeder, Mary E., additional, Bover Manderski, Michelle T., additional, Cai, Jenny, additional, Song, Cherry, additional, Rodricks, Michael B., additional, Lissauer, Matthew, additional, and Gupta, Rajan, additional

Published
2020
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38. Retrospective Assessment of Risk Factors for Head and Neck Cancer Among World Trade Center General Responders

Author

Bover Manderski, Michelle T., primary, Black, Kathleen, additional, Udasin, Iris G., additional, Black, Taylor M., additional, Steinberg, Michael B., additional, Giuliano, Anna R., additional, Luft, Benjamin J., additional, Harrison, Denise, additional, Crane, Michael A., additional, Moline, Jacqueline, additional, Passannante, Marian R., additional, Ohman Strickland, Pamela, additional, Dasaro, Christopher R., additional, Lucchini, Roberto G., additional, Todd, Andrew C., additional, and Graber, Judith M., additional

Published
2020
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39. Surgeons in surge — the versatility of the acute care surgeon: outcomes of COVID-19 ICU patients in a community hospital where all ICU patients are managed by surgical intensivists

Author

Choron, Rachel Leah, primary, Butts, Christopher A, additional, Bargoud, Christopher, additional, Krumrei, Nicole, additional, Teichman, Amanda L, additional, Schroeder, Mary, additional, Bover Manderski, Michelle T, additional, To, Jennifer, additional, Moffa, Salvatore M, additional, Rodricks, Michael B, additional, Lissauer, Matthew, additional, and Gupta, Rajan, additional

Published
2020
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42. Ongoing Refinement and Adaptation are Required to Address Participant Deception in Online Nicotine and Tobacco Research Studies.

Author

LePine, S Elisha, Peasley-Miklus, Catherine, Farrington, Meghan L, Young, William J, Manderski, Michelle T Bover, Hrywna, Mary, Villanti, Andrea C, and Bover Manderski, Michelle T

Subjects
NICOTINE, DECEPTION, INFORMED consent (Medical law), TOBACCO, INTERNET fraud
Abstract

The systematic method of screening participants for deception developed in our pilot study[4] was revised and refined in subsequent waves based on changes in participant response patterns. Online research offers many benefits to nicotine and tobacco research, including the ability to conveniently and cheaply recruit large numbers of participants over a wide geographic area. In the process of analyzing open-ended responses from our Winter 2020 survey, for example, the study team noticed patterns of unusual, nearly identical responses submitted at the same time by different respondents, some of whom had participated in multiple waves of the study. [Extracted from the article]

Published
2023
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43. Measurement and evaluation of risk factors for cancers of the head and neck in a cohort of 9/11 World Trade Center responders

Author

Bover Manderski, Michelle T.

Subjects
humanities
Abstract

Background: Responders to the World Trade Center (WTC) on 9/11 and throughout the subsequent rescue, recovery, and cleanup efforts were potentially exposed to a host of known and suspected human carcinogens. Emerging research suggests that head and neck cancers (HNCs) may be among the health consequences of involvement in the World Trade Center (WTC) response efforts that followed September 11, 2001.Objective and Specific Aims: This dissertation sought to identify risk factors for HNC among WTC Health Program general responders. Three specific aims supported this goal: (1) develop and assess the reliability of a questionnaire designed to retrospectively reconstruct risk behaviors before, during, and after the WTC exposure period; (2) evaluate WTC-related and behavioral risk factors for HNC among WTC responders using a nested case-control approach; and (3) compare the distribution of risk factors for HNC subtypes among WTC responders using a case-case approach.Methods: A questionnaire was developed to retrospectively assess risk behaviors for HNC, including tobacco use, alcohol consumption, and sexual activity and administered to 64 cases (responders with HNC) and 136 controls identified via risk-set sampling and matched on age, sex, and race/ethnicity. For study 1, Cohen’s kappa and intraclass correlation coefficient were used to assess agreement of the questionnaire’s measures of tobacco and alcohol use with data previously collected during WTCHP monitoring visits using. For study 2, WTC exposures and behavioral risk factors were compared between cases and controls using conditional logistic regression models. For study 3, risk factor profiles were compared among cases with oropharyngeal, oral cavity, laryngeal, and other HNCs using bivariate statistics (ANOVA, Chi-Square, Fisher’s Exact) and unconditional logistic regression.Results: Study 1 found high agreement between most measures common to both data sources but noted some differences in agreement by disease status and survey mode. The nested case-control analysis (Study 2) found estimated HNC risk associated with having a protective services occupation, lifetime and post-WTC cigarette smoking, and post-WTC number of sex partners. Increased risk was also associated with arriving on 9/11 as opposed to later, but only among responders without protective services occupations. The case-case analysis (Study 3) revealed differential risk factor profiles by cancer site that did not fully align with what is seen in the general population.Conclusion: The findings from this dissertation contribute to development of a unique HNC risk factor profile and inform potential HNC risk mitigation strategies for WTC responders. These recommendations may assist WTCHP clinicians with identifying high-risk responders and thus improve HNC detection and treatment outcomes in this population.

Published
2019
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46. Risk factors for head and neck cancer in the World Trade Center Health Program General Responder Cohort: results from a nested case–control study

Author

Bover Manderski, Michelle T, primary, Black, Kathleen, additional, Udasin, Iris G, additional, Giuliano, Anna R, additional, Steinberg, Michael B, additional, Ohman Strickland, Pamela, additional, Black, Taylor M, additional, Dasaro, Christopher R, additional, Crane, Michael, additional, Harrison, Denise, additional, Moline, Jacqueline, additional, Luft, Benjamin J, additional, Passannante, Marian R, additional, Lucchini, Roberto G, additional, Todd, Andrew C, additional, and Graber, Judith M, additional

Published
2019
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47. Fever in the ICU: A Predictor of Mortality in Mechanically Ventilated COVID-19 Patients.

Author

Choron, Rachel L., Butts, Christopher A., Bargoud, Christopher, Krumrei, Nicole J., Teichman, Amanda L., Schroeder, Mary E., Bover Manderski, Michelle T., Cai, Jenny, Song, Cherry, Rodricks, Michael B., Lissauer, Matthew, and Gupta, Rajan

Subjects
INTENSIVE care units, ARTIFICIAL respiration, COVID-19, HOSPITAL admission & discharge, FEVER, MORTALITY
Abstract

Purpose: While fever may be a presenting symptom of COVID-19, fever at hospital admission has not been identified as a predictor of mortality. However, hyperthermia during critical illness among ventilated COVID-19 patients in the ICU has not yet been studied. We sought to determine mortality predictors among ventilated COVID-19 ICU patients and we hypothesized that fever in the ICU is predictive of mortality. Materials and Methods: We conducted a retrospective cohort study of 103 ventilated COVID-19 patients admitted to the ICU between March 14 and May 27, 2020. Final follow-up was June 5, 2020. Patients discharged from the ICU or who died were included. Patients still admitted to the ICU at final follow-up were excluded. Results: 103 patients were included, 40 survived and 63(61.1%) died. Deceased patients were older {66 years[IQR18] vs 62.5[IQR10], (p = 0.0237)}, more often male {48(68%) vs 22(55%), (p = 0.0247)}, had lower initial oxygen saturation {86.0%[IQR18] vs 91.5%[IQR11.5], (p = 0.0060)}, and had lower pH nadir than survivors {7.10[IQR0.2] vs 7.30[IQR0.2] (p < 0.0001)}. Patients had higher peak temperatures during ICU stay as compared to hospital presentation {103.3°F[IQR1.7] vs 100.0°F[IQR3.5], (p < 0.0001)}. Deceased patients had higher peak ICU temperatures than survivors {103.6°F[IQR2.0] vs 102.9°F[IQR1.4], (p = 0.0008)}. Increasing peak temperatures were linearly associated with mortality. Febrile patients who underwent targeted temperature management to achieve normothermia did not have different outcomes than those not actively cooled. Multivariable analysis revealed 60% and 75% higher risk of mortality with peak temperature greater than 103°F and 104°F respectively; it also confirmed hyperthermia, age, male sex, and acidosis to be predictors of mortality. Conclusions: This is one of the first studies to identify ICU hyperthermia as predictive of mortality in ventilated COVID-19 patients. Additional predictors included male sex, age, and acidosis. With COVID-19 cases increasing, identification of ICU mortality predictors is crucial to improve risk stratification, resource management, and patient outcomes. [ABSTRACT FROM AUTHOR]

Published
2021
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