Salem H Alshemmari, Mazyad Almazyad, Ahmed Alsarraf, Anita Kunhikrishnan, Asha M Isaac, Andy Kaempf
{"title":"预测 Binet a 期慢性淋巴细胞白血病的分期进展。","authors":"Salem H Alshemmari, Mazyad Almazyad, Ahmed Alsarraf, Anita Kunhikrishnan, Asha M Isaac, Andy Kaempf","doi":"10.56875/2589-0646.1117","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The variable clinical course of chronic lymphocytic leukemia (CLL) and the lack of consensus on follow-up and treatment strategies have necessitated a prognostic model for identifying high-risk patients at the time of diagnosis.</p><p><strong>Methods: </strong>We involved a retrospective analysis of demographic and clinical characteristics of 212 patients diagnosed with Binet stage A CLL and thus eligible for risk stratification by both the International Prognostic Score for Early-stage CLL (IPS-E) and the alternative IPS-E (AIPS-E). We evaluated the applicability of these prognostic indices in our young, Middle Eastern cohort (median age 59 at diagnosis).</p><p><strong>Results: </strong>During the study period with a median follow-up of 3.5 years, 67 patients (32 %) experienced progression to first treatment and cumulative incidence of treatment was 13 % at 1 year and 28 % at 3 years after diagnosis. Sixty-nine (51 % of the 136 with a known value) patients harbored an unmutated immunoglobulin heavy chain gene (IGHV) and 21 (10 %) an 11q or 17p deletion with 11 % lacking FISH results. For each early-stage CLL prognostic index, more patients were identified as high-risk for disease progression (51 % of 124 patients evaluable for IPS-E; 42 % of 109 patients evaluable for AIPS-E) than intermediate-risk and low-risk. Multivariable models involving the IPS-E and AIPS-E components revealed that unmutated IGHV and elevated absolute lymphocyte count were significant predictors of earlier treatment requirement. Both prognostic scores were discriminative of time to first treatment (log-rank p < 0.001; c-statistics of 0.74 for IPS-E and 0.69 for AIPS-E).</p><p><strong>Conclusion: </strong>Although clarity on clinical behavior with regard to initiation of treatment remains elusive, IPS-E and AIPS-E are valuable tools for identifying high-risk patients.</p>","PeriodicalId":516321,"journal":{"name":"Hematology/oncology and stem cell therapy","volume":"17 2","pages":"137-145"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting Stage Progression in Binet Stage a Chronic Lymphocytic Leukemia.\",\"authors\":\"Salem H Alshemmari, Mazyad Almazyad, Ahmed Alsarraf, Anita Kunhikrishnan, Asha M Isaac, Andy Kaempf\",\"doi\":\"10.56875/2589-0646.1117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The variable clinical course of chronic lymphocytic leukemia (CLL) and the lack of consensus on follow-up and treatment strategies have necessitated a prognostic model for identifying high-risk patients at the time of diagnosis.</p><p><strong>Methods: </strong>We involved a retrospective analysis of demographic and clinical characteristics of 212 patients diagnosed with Binet stage A CLL and thus eligible for risk stratification by both the International Prognostic Score for Early-stage CLL (IPS-E) and the alternative IPS-E (AIPS-E). We evaluated the applicability of these prognostic indices in our young, Middle Eastern cohort (median age 59 at diagnosis).</p><p><strong>Results: </strong>During the study period with a median follow-up of 3.5 years, 67 patients (32 %) experienced progression to first treatment and cumulative incidence of treatment was 13 % at 1 year and 28 % at 3 years after diagnosis. Sixty-nine (51 % of the 136 with a known value) patients harbored an unmutated immunoglobulin heavy chain gene (IGHV) and 21 (10 %) an 11q or 17p deletion with 11 % lacking FISH results. For each early-stage CLL prognostic index, more patients were identified as high-risk for disease progression (51 % of 124 patients evaluable for IPS-E; 42 % of 109 patients evaluable for AIPS-E) than intermediate-risk and low-risk. Multivariable models involving the IPS-E and AIPS-E components revealed that unmutated IGHV and elevated absolute lymphocyte count were significant predictors of earlier treatment requirement. Both prognostic scores were discriminative of time to first treatment (log-rank p < 0.001; c-statistics of 0.74 for IPS-E and 0.69 for AIPS-E).</p><p><strong>Conclusion: </strong>Although clarity on clinical behavior with regard to initiation of treatment remains elusive, IPS-E and AIPS-E are valuable tools for identifying high-risk patients.</p>\",\"PeriodicalId\":516321,\"journal\":{\"name\":\"Hematology/oncology and stem cell therapy\",\"volume\":\"17 2\",\"pages\":\"137-145\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hematology/oncology and stem cell therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56875/2589-0646.1117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hematology/oncology and stem cell therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56875/2589-0646.1117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting Stage Progression in Binet Stage a Chronic Lymphocytic Leukemia.
Introduction: The variable clinical course of chronic lymphocytic leukemia (CLL) and the lack of consensus on follow-up and treatment strategies have necessitated a prognostic model for identifying high-risk patients at the time of diagnosis.
Methods: We involved a retrospective analysis of demographic and clinical characteristics of 212 patients diagnosed with Binet stage A CLL and thus eligible for risk stratification by both the International Prognostic Score for Early-stage CLL (IPS-E) and the alternative IPS-E (AIPS-E). We evaluated the applicability of these prognostic indices in our young, Middle Eastern cohort (median age 59 at diagnosis).
Results: During the study period with a median follow-up of 3.5 years, 67 patients (32 %) experienced progression to first treatment and cumulative incidence of treatment was 13 % at 1 year and 28 % at 3 years after diagnosis. Sixty-nine (51 % of the 136 with a known value) patients harbored an unmutated immunoglobulin heavy chain gene (IGHV) and 21 (10 %) an 11q or 17p deletion with 11 % lacking FISH results. For each early-stage CLL prognostic index, more patients were identified as high-risk for disease progression (51 % of 124 patients evaluable for IPS-E; 42 % of 109 patients evaluable for AIPS-E) than intermediate-risk and low-risk. Multivariable models involving the IPS-E and AIPS-E components revealed that unmutated IGHV and elevated absolute lymphocyte count were significant predictors of earlier treatment requirement. Both prognostic scores were discriminative of time to first treatment (log-rank p < 0.001; c-statistics of 0.74 for IPS-E and 0.69 for AIPS-E).
Conclusion: Although clarity on clinical behavior with regard to initiation of treatment remains elusive, IPS-E and AIPS-E are valuable tools for identifying high-risk patients.