{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T15:23:11Z","timestamp":1785252191826,"version":"3.55.0"},"reference-count":28,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Therapeutic Advances in Hematology"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:sec>\n                    <jats:title>Aims:<\/jats:title>\n                    <jats:p>It was aimed at measuring the comorbidities of chronic myeloid leukemia (CML) patients at the time of diagnosis with different comorbidity indices and evaluating their effects on disease prognosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>The comorbidities of the patients were retrospectively screened and calculated in three different comorbidity indices: the ACE-27 Comorbidity Index, the Age-adjusted Charlson Comorbidity Index, and the Elixhauser Comorbidity Index. C-statistic was used to evaluate the ability of comorbidity indices to discriminate mortality. The relationship between the calculated scores and overall survival (OS) was evaluated with the Kaplan-Meier curve. Mortality risk was analyzed with a multivariate Cox regression model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>A total of 218 CML patients were evaluated, and 211 chronic-phase patients were included in this study. The median age of the patients was 56\u2009years (21\u201389), and 53% were female. As initial tyrosine kinase inhibitors, 201 (95%) patients were treated with imatinib, 10 (5%) patients with nilotinib. The median follow-up was 94.50 (9\u2013201)\u2009months. The median OS was not reached. The most common comorbid conditions were hypertension 23% ( n\u2009=\u200948), weight loss 19% ( n\u2009=\u200940), diabetes mellitus 13% ( n\u2009=\u200927), and cardiovascular disease 9% ( n\u2009=\u200919). C-statistic values were 0.76 for ACE-27, 0.41 for ACCI, and 0.32 for ECI scores. In the Cox regression model including comorbidity scores, mortality risk was higher in patients with moderate ACE-27 score (HR: 148.05; 95% CI: 7.89\u20132751.53; p\u2009=\u20090.012), severe ACE-27 score (HR: 232.36; 95% CI: 14.20\u20134793.20; p\u2009=\u20090.001), ECOG 3 score (HR: 34.62; 95% CI: 2.67\u2013447.36; p\u2009=\u20090.007), and high ELTS score (HR: 27.52; 95% CI: 1.34\u2013543.68; p\u2009=\u20090.031).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>This study showed that the ACE-27 Comorbidity Index is effective in predicting prognosis in CML patients. Therefore, comorbid conditions should be used more frequently as a prognostic marker at the time of diagnosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20406207251323701","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T01:22:12Z","timestamp":1740705732000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["A comparison of the effect of three different comorbidity indices on overall survival in patients with chronic myeloid leukemia"],"prefix":"10.1177","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5129-2977","authenticated-orcid":false,"given":"Cumali","family":"Yal\u00e7\u0131n","sequence":"first","affiliation":[{"name":"Clinic of Hematology, K\u00fctahya City Hospital, Evliya \u00c7elebi Mahallesi, Okmeydan\u0131 Caddesi, K\u00fctahya 43020, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3970-2344","authenticated-orcid":false,"given":"Bedrettin","family":"Orhan","sequence":"additional","affiliation":[{"name":"Division of Hematology, Department of Internal Medicine, Uludag University Faculty of Medicine, Bursa, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7602-6926","authenticated-orcid":false,"given":"\u00d6mer","family":"Candar","sequence":"additional","affiliation":[{"name":"Division of Hematology, Department of Internal Medicine, Uludag University Faculty of Medicine, Bursa, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9623-8096","authenticated-orcid":false,"given":"Sinem","family":"\u00c7ubuk\u00e7u","sequence":"additional","affiliation":[{"name":"Division of Hematology, Department of Internal Medicine, Uludag University Faculty of Medicine, Bursa, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuba","family":"G\u00fcll\u00fc Koca","sequence":"additional","affiliation":[{"name":"Division of Hematology, Department of Internal Medicine, Uludag University Faculty of Medicine, Bursa, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4991-9830","authenticated-orcid":false,"given":"Faz\u0131l \u00c7a\u011fr\u0131","family":"Hunutlu","sequence":"additional","affiliation":[{"name":"Division of Hematology, Department of Internal Medicine, Uludag University Faculty of Medicine, Bursa, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u015eeyma","family":"Yavuz","sequence":"additional","affiliation":[{"name":"Division of Hematology, Department of Internal Medicine, Uludag University Faculty of Medicine, Bursa, 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