Monica Mead, Beth Glenn, Joe Tuscano, Angshuman Saha, Sarah Larson, Sophie Carlson, Jasmine Zain
{"title":"健康的社会决定因素对外周 T 细胞淋巴瘤预后的影响:治疗中心类型成为强有力的预后指标","authors":"Monica Mead, Beth Glenn, Joe Tuscano, Angshuman Saha, Sarah Larson, Sophie Carlson, Jasmine Zain","doi":"10.1016/j.clml.2024.09.011","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Prognostic models in peripheral T cell lymphoma (PTCL) have identified biological factors including age, performance status, LDH, and BM involvement as prognostic for survival. The association of social determinants of health (SDH), on PTCL outcomes remains unexplored.</p><p><strong>Methods: </strong>To evaluate the impact of actionable SDH on PTCL mortality across race groups, we conducted a retrospective cohort study that included all White, Hispanic, Asian/Pacific Islander (PI) and Black adult patients with nodal PTCLs , diagnosed 2000-2020, in California. We utilized Chi<sup>2</sup> and Wilcoxon rank-sum tests for descriptive metrics and Kaplan-Meier statistics for mortality estimation. Regression models included patient- (age, sex, race, stage, Charlson Comorbidity Index, histology, treatment, academic center treatment, payer), and neighborhood-level factors (socioeconomic (SES) quintile, proportion without a high school diploma, and rural/urban). Risk factors significant in univariate regression of P < .10 were incorporated into the multivariable model.</p><p><strong>Findings: </strong>Our analysis included 6158 patients: 51.8% White, 25.8% Hispanic, 14.7% Asians/PI, and 7.6% Black. Hispanics exhibited the longest median survival (33 months) followed by Whites, Blacks, and Asian/PI (25, 20, and 14 months, respectively; P = .011). Risk factors independently associated with inferior lymphoma-specific survival (LSS) included Asian/PI compared with NH Whites (HR, 1.23; 95% CI, 1.10-1.34; P = .0002), AITL/ALCL compared with PTCL, NOS (AITL HR, 1.14; 95% CI, 1.02-1.25; P = .011; ALCL HR, 1.15; 95% CI, 1.04-1.26; P = .004), academic compared to nonacademic facility-type (HR 0.71; 95% CI, 0.64-0.77; P < .01), Medicare compared with uninsured (HR 1.48, 95% CI, 1.25-1.73; P < .01), and the lowest 3 compared to the highest education quartiles (Q2 HR 1.13; 95% CI, 1.01-1.25; P = .021; Q3 HR 1.14; 95% CI, 1.02-1.26; P = .018; Q4 HR 1.22; 95% CI, 1.08-1.36; P < .001). In the least resourced patients, histology, treatment, treatment facility-type, payer and education were independently prognostic for LSS. Academic center treatment was associated with a striking improvement in LSS (academic institution: yes = 101 months, no = 17 months; P < .01).</p><p><strong>Interpretation: </strong>Treatment facility-type, payer and education, areindependent actionable SDH for PTCL mortality. Treatment center-type had the strongest prognostic association with LSS, conferring a risk reduction of PTCL mortality by nearly 30%.</p>","PeriodicalId":10348,"journal":{"name":"Clinical Lymphoma, Myeloma & Leukemia","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Social Determinants of Health on Peripheral T Cell Lymphoma Outcomes: Treatment Center-Type Emerges as a Powerful Prognostic Indicator.\",\"authors\":\"Monica Mead, Beth Glenn, Joe Tuscano, Angshuman Saha, Sarah Larson, Sophie Carlson, Jasmine Zain\",\"doi\":\"10.1016/j.clml.2024.09.011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Prognostic models in peripheral T cell lymphoma (PTCL) have identified biological factors including age, performance status, LDH, and BM involvement as prognostic for survival. The association of social determinants of health (SDH), on PTCL outcomes remains unexplored.</p><p><strong>Methods: </strong>To evaluate the impact of actionable SDH on PTCL mortality across race groups, we conducted a retrospective cohort study that included all White, Hispanic, Asian/Pacific Islander (PI) and Black adult patients with nodal PTCLs , diagnosed 2000-2020, in California. We utilized Chi<sup>2</sup> and Wilcoxon rank-sum tests for descriptive metrics and Kaplan-Meier statistics for mortality estimation. Regression models included patient- (age, sex, race, stage, Charlson Comorbidity Index, histology, treatment, academic center treatment, payer), and neighborhood-level factors (socioeconomic (SES) quintile, proportion without a high school diploma, and rural/urban). Risk factors significant in univariate regression of P < .10 were incorporated into the multivariable model.</p><p><strong>Findings: </strong>Our analysis included 6158 patients: 51.8% White, 25.8% Hispanic, 14.7% Asians/PI, and 7.6% Black. Hispanics exhibited the longest median survival (33 months) followed by Whites, Blacks, and Asian/PI (25, 20, and 14 months, respectively; P = .011). Risk factors independently associated with inferior lymphoma-specific survival (LSS) included Asian/PI compared with NH Whites (HR, 1.23; 95% CI, 1.10-1.34; P = .0002), AITL/ALCL compared with PTCL, NOS (AITL HR, 1.14; 95% CI, 1.02-1.25; P = .011; ALCL HR, 1.15; 95% CI, 1.04-1.26; P = .004), academic compared to nonacademic facility-type (HR 0.71; 95% CI, 0.64-0.77; P < .01), Medicare compared with uninsured (HR 1.48, 95% CI, 1.25-1.73; P < .01), and the lowest 3 compared to the highest education quartiles (Q2 HR 1.13; 95% CI, 1.01-1.25; P = .021; Q3 HR 1.14; 95% CI, 1.02-1.26; P = .018; Q4 HR 1.22; 95% CI, 1.08-1.36; P < .001). In the least resourced patients, histology, treatment, treatment facility-type, payer and education were independently prognostic for LSS. Academic center treatment was associated with a striking improvement in LSS (academic institution: yes = 101 months, no = 17 months; P < .01).</p><p><strong>Interpretation: </strong>Treatment facility-type, payer and education, areindependent actionable SDH for PTCL mortality. Treatment center-type had the strongest prognostic association with LSS, conferring a risk reduction of PTCL mortality by nearly 30%.</p>\",\"PeriodicalId\":10348,\"journal\":{\"name\":\"Clinical Lymphoma, Myeloma & Leukemia\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Lymphoma, Myeloma & Leukemia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.clml.2024.09.011\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Lymphoma, Myeloma & Leukemia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.clml.2024.09.011","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEMATOLOGY","Score":null,"Total":0}
The Impact of Social Determinants of Health on Peripheral T Cell Lymphoma Outcomes: Treatment Center-Type Emerges as a Powerful Prognostic Indicator.
Background: Prognostic models in peripheral T cell lymphoma (PTCL) have identified biological factors including age, performance status, LDH, and BM involvement as prognostic for survival. The association of social determinants of health (SDH), on PTCL outcomes remains unexplored.
Methods: To evaluate the impact of actionable SDH on PTCL mortality across race groups, we conducted a retrospective cohort study that included all White, Hispanic, Asian/Pacific Islander (PI) and Black adult patients with nodal PTCLs , diagnosed 2000-2020, in California. We utilized Chi2 and Wilcoxon rank-sum tests for descriptive metrics and Kaplan-Meier statistics for mortality estimation. Regression models included patient- (age, sex, race, stage, Charlson Comorbidity Index, histology, treatment, academic center treatment, payer), and neighborhood-level factors (socioeconomic (SES) quintile, proportion without a high school diploma, and rural/urban). Risk factors significant in univariate regression of P < .10 were incorporated into the multivariable model.
Findings: Our analysis included 6158 patients: 51.8% White, 25.8% Hispanic, 14.7% Asians/PI, and 7.6% Black. Hispanics exhibited the longest median survival (33 months) followed by Whites, Blacks, and Asian/PI (25, 20, and 14 months, respectively; P = .011). Risk factors independently associated with inferior lymphoma-specific survival (LSS) included Asian/PI compared with NH Whites (HR, 1.23; 95% CI, 1.10-1.34; P = .0002), AITL/ALCL compared with PTCL, NOS (AITL HR, 1.14; 95% CI, 1.02-1.25; P = .011; ALCL HR, 1.15; 95% CI, 1.04-1.26; P = .004), academic compared to nonacademic facility-type (HR 0.71; 95% CI, 0.64-0.77; P < .01), Medicare compared with uninsured (HR 1.48, 95% CI, 1.25-1.73; P < .01), and the lowest 3 compared to the highest education quartiles (Q2 HR 1.13; 95% CI, 1.01-1.25; P = .021; Q3 HR 1.14; 95% CI, 1.02-1.26; P = .018; Q4 HR 1.22; 95% CI, 1.08-1.36; P < .001). In the least resourced patients, histology, treatment, treatment facility-type, payer and education were independently prognostic for LSS. Academic center treatment was associated with a striking improvement in LSS (academic institution: yes = 101 months, no = 17 months; P < .01).
Interpretation: Treatment facility-type, payer and education, areindependent actionable SDH for PTCL mortality. Treatment center-type had the strongest prognostic association with LSS, conferring a risk reduction of PTCL mortality by nearly 30%.
期刊介绍:
Clinical Lymphoma, Myeloma & Leukemia is a peer-reviewed monthly journal that publishes original articles describing various aspects of clinical and translational research of lymphoma, myeloma and leukemia. Clinical Lymphoma, Myeloma & Leukemia is devoted to articles on detection, diagnosis, prevention, and treatment of lymphoma, myeloma, leukemia and related disorders including macroglobulinemia, amyloidosis, and plasma-cell dyscrasias. The main emphasis is on recent scientific developments in all areas related to lymphoma, myeloma and leukemia. Specific areas of interest include clinical research and mechanistic approaches; drug sensitivity and resistance; gene and antisense therapy; pathology, markers, and prognostic indicators; chemoprevention strategies; multimodality therapy; and integration of various approaches.