Sample average treatment effect on the treated (SATT) analysis using counterfactual explanation identifies BMT and SARS-CoV-2 vaccination as protective risk factors associated with COVID-19 severity and survival in patients with multiple myeloma
dc.contributor.author | Mitra, Amit Kumar | |
dc.contributor.author | Mukherjee, Ujjal Kumar | |
dc.contributor.author | Mazumder, Suman | |
dc.contributor.author | Madhira, Vithal | |
dc.contributor.author | Bergquist, Timothy | |
dc.contributor.author | Shao, Yu Raymond | |
dc.contributor.author | Liu, Feifan | |
dc.contributor.author | Song, Qianqian | |
dc.contributor.author | Su, Jing | |
dc.contributor.author | Kumar, Shaji | |
dc.contributor.author | Bates, Benjamin A. | |
dc.contributor.author | Sharafeldin, Noha | |
dc.contributor.author | Topaloglu, Umit | |
dc.contributor.author | National COVID Cohort Collaborative Consortium | |
dc.contributor.department | Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health | |
dc.date.accessioned | 2024-05-14T08:43:01Z | |
dc.date.available | 2024-05-14T08:43:01Z | |
dc.date.issued | 2023-12-07 | |
dc.description.abstract | Patients with multiple myeloma (MM), an age-dependent neoplasm of antibody-producing plasma cells, have compromised immune systems and might be at increased risk for severe COVID-19 outcomes. This study characterizes risk factors associated with clinical indicators of COVID-19 severity and all-cause mortality in myeloma patients utilizing NCATS' National COVID Cohort Collaborative (N3C) database. The N3C consortium is a large, centralized data resource representing the largest multi-center cohort of COVID-19 cases and controls nationwide (>16 million total patients, and >6 million confirmed COVID-19+ cases to date). Our cohort included myeloma patients (both inpatients and outpatients) within the N3C consortium who have been diagnosed with COVID-19 based on positive PCR or antigen tests or ICD-10-CM diagnosis code. The outcomes of interest include all-cause mortality (including discharge to hospice) during the index encounter and clinical indicators of severity (i.e., hospitalization/emergency department/ED visit, use of mechanical ventilation, or extracorporeal membrane oxygenation (ECMO)). Finally, causal inference analysis was performed using the Coarsened Exact Matching (CEM) and Propensity Score Matching (PSM) methods. As of 05/16/2022, the N3C consortium included 1,061,748 cancer patients, out of which 26,064 were MM patients (8,588 were COVID-19 positive). The mean age at COVID-19 diagnosis was 65.89 years, 46.8% were females, and 20.2% were of black race. 4.47% of patients died within 30 days of COVID-19 hospitalization. Overall, the survival probability was 90.7% across the course of the study. Multivariate logistic regression analysis showed histories of pulmonary and renal disease, dexamethasone, proteasome inhibitor/PI, immunomodulatory/IMiD therapies, and severe Charlson Comorbidity Index/CCI were significantly associated with higher risks of severe COVID-19 outcomes. Protective associations were observed with blood-or-marrow transplant/BMT and COVID-19 vaccination. Further, multivariate Cox proportional hazard analysis showed that high and moderate CCI levels, International Staging System (ISS) moderate or severe stage, and PI therapy were associated with worse survival, while BMT and COVID-19 vaccination were associated with lower risk of death. Finally, matched sample average treatment effect on the treated (SATT) confirmed the causal effect of BMT and vaccination status as top protective factors associated with COVID-19 risk among US patients suffering from multiple myeloma. To the best of our knowledge, this is the largest nationwide study on myeloma patients with COVID-19. | |
dc.eprint.version | Final published version | |
dc.identifier.citation | Mitra AK, Mukherjee UK, Mazumder S, et al. Sample average treatment effect on the treated (SATT) analysis using counterfactual explanation identifies BMT and SARS-CoV-2 vaccination as protective risk factors associated with COVID-19 severity and survival in patients with multiple myeloma. Blood Cancer J. 2023;13(1):180. Published 2023 Dec 7. doi:10.1038/s41408-023-00901-y | |
dc.identifier.uri | https://hdl.handle.net/1805/40697 | |
dc.language.iso | en_US | |
dc.publisher | Springer Nature | |
dc.relation.isversionof | 10.1038/s41408-023-00901-y | |
dc.relation.journal | Blood Cancer Journal | |
dc.rights | Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | PMC | |
dc.subject | Epidemiology | |
dc.subject | Myeloma | |
dc.subject | COVID-19 testing | |
dc.subject | COVID-19 vaccines | |
dc.subject | SARS-CoV-2 | |
dc.title | Sample average treatment effect on the treated (SATT) analysis using counterfactual explanation identifies BMT and SARS-CoV-2 vaccination as protective risk factors associated with COVID-19 severity and survival in patients with multiple myeloma | |
dc.type | Article |