{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:25:16Z","timestamp":1755221116628,"version":"3.43.0"},"reference-count":0,"publisher":"ALUNA","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Wiadomo\u015bci Lekarskie"],"abstract":"<jats:p>Aim: To develop a prognostic algorithm, taking into account the blood concentrations of medium-mass molecules (MMM), pyruvic acid (PA), and lactic acid\n(LA) as markers of metabolic intoxication (MI), in order to optimize the prediction of the clinical course and treatment effectiveness in patients with chronic\nmyeloid leukemia (CML).\nMaterials and Methods: The study was conducted on 97 individuals (45 men, 52 women). The main group consisted of 77 patients with CML, aged (M \u00b1\nm) 47.5 \u00b1 1.4 years: 19 in stage I (chronic), 33 in stage II (acceleration), and 25 in stage III (blast crisis). The control group included 20 healthy individuals,\naged 38.9 \u00b1 1.3 years. A sequential Wald analysis, in a modified version with a 0.05 p-level threshold, was performed based on interim study results (levels of\nMMM, PA, and LA in blood, in addition to standard tests).\nResults: The prediction algorithm aimed at identifying patients at high risk of CML progression and evaluating treatment effectiveness was developed,\nconsidering the MI markers. Reaching the predictive coefficient threshold sum is a criterion for determining the risk: if equal to or lower than \u201c\u221219.8,\u201d the risk\nis high; if greater than \u201c\u221219.8,\u201d but lower than \u201c+19.8,\u201d the risk is uncertain; if equal to or greater than \u201c+19.8,\u201d the risk is low.\nConclusions: The algorithm enables the stratification of patients with CML into risk groups. The incorporation of MMM, PA, and LA into the prognostic framework\nhas the potential to enhance the predictive capacity of the model regarding clinical deterioration, treatment failure, etc.<\/jats:p>","DOI":"10.36740\/wlek\/207357","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T08:49:23Z","timestamp":1754642963000},"page":"1007-1013","source":"Crossref","is-referenced-by-count":0,"title":["Algorithm for predicting the clinical course and treatment effectiveness for patients with chronic myeloid leukemia using markers of metabolic intoxication"],"prefix":"10.36740","author":[{"given":"Ivanna M.","family":"Maikut-Zabrodska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"22436","published-online":{"date-parts":[[2025,7,25]]},"container-title":["Wiadomo\u015bci Lekarskie"],"original-title":[],"link":[{"URL":"https:\/\/www.wiadomoscilekarskie.pl\/pdf-207357-127398","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.wiadomoscilekarskie.pl\/pdf-207357-127398","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T08:49:24Z","timestamp":1754642964000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.wiadomoscilekarskie.pl\/Algorithm-for-predicting-the-clinical-course-and-treatment-effectiveness-for-patients,207357,0,2.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,25]]},"references-count":0,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025]]}},"alternative-id":["207357"],"URL":"https:\/\/doi.org\/10.36740\/wlek\/207357","relation":{},"ISSN":["0043-5147","2719-342X"],"issn-type":[{"value":"0043-5147","type":"print"},{"value":"2719-342X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,25]]}}}