{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:46:27Z","timestamp":1786977987589,"version":"build-2736575974"},"reference-count":23,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T00:00:00Z","timestamp":1765929600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T00:00:00Z","timestamp":1765929600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Chronic kidney disease is a progressive disorder of the body with high morbidity. Hematological biomarkers can predict CKD progression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study examined the predictive role of hematological parameters among adult CKD patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The records of 120 adult patients with CKD were retrieved. CKD staging was according to KDIGO guidelines. Hematological parameters were hemoglobin, WBC, percentages of neutrophils and lymphocytes, NLR, platelet count, MCV, and RDW. Data were analyzed to assess associations between hematological markers and disease stage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Mean age was 56.4\u2009\u00b1\u200913.2\u2009years, with 56.7% being male. Prevalence was 65.0% for hypertension and 38.3% for diabetes mellitus. There was a significant decrease in hemoglobin with CKD stage (13.4\u2009\u00b1\u20091.1\u2009g\/dL in Stage 1 to 8.5\u2009\u00b1\u20091.7\u2009g\/dL in Stage 5,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), while NLR and RDW increased progressively with CKD stage (NLR: 1.55\u2009\u00b1\u20090.48 to 4.12\u2009\u00b1\u20091.02; RDW: 13.1%\u2009\u00b1\u20090.8% to 16.0%\u2009\u00b1\u20091.6%, both\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Anemia and raised NLR were more frequent in the advanced stages of CKD. Logistic regression analysis identified hemoglobin (OR\u2009=\u20090.69, 95% CI: 0.58\u20130.82,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), RDW (OR\u2009=\u20091.78, 95% CI: 1.33\u20132.39,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.002), and NLR (OR\u2009=\u20091.91, 95% CI: 1.35\u20132.72,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.001) as independent predictors of advanced CKD. These simple and inexpensive biomarkers are particularly valuable in resource\u2010limited settings.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Hematological biomarkers, especially hemoglobin, NLR, and RDW, were effectively used to predict the progression of CKD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcla.70142","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T06:51:11Z","timestamp":1766040671000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Predictive Role of Hematological Biomarkers in Chronic Kidney Disease Progression"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6176-8935","authenticated-orcid":false,"given":"Collince Odiwuor","family":"Ogolla","sequence":"first","affiliation":[{"name":"Department of Applied Health Science, School of Health Science Kisii University  Kisii Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7302-0374","authenticated-orcid":false,"given":"Lucy W.","family":"Karani","sequence":"additional","affiliation":[{"name":"Department of Applied Health Science, School of Health Science Kisii University  Kisii Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stanslaus","family":"Musyoki","sequence":"additional","affiliation":[{"name":"Department of Medical Laboratory Science, School of Health Science South Eastern Kenya University  Kitui Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phidelis","family":"Maruti","sequence":"additional","affiliation":[{"name":"Department of Medical Laboratory Science, School of Health Science Kisii University  Kisii Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,12,17]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12010116"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(21)00519-5"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms221810084"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41581-024-00820-6"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpi.2023.100189"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.2147\/JBM.S373280"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12962-021-00293-5"},{"key":"e_1_2_12_9_1","unstructured":"A. M.Mbaabu \u201cAssociation of Selected Haematological Biochemical and Genetic Biomarkers Among Patients With Essential Hypertension at Chuka County Referral Hospital Kenya \u201d Doctoral Dissertation (2024) JKUAT\u2010COHES."},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12325-020-01568-8"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2023.06.119"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2013.281316"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/metabo13020303"},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/2694499"},{"key":"e_1_2_12_15_1","doi-asserted-by":"publisher","DOI":"10.1177\/2632010X221114807"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1515\/tjb\u20102023\u20100074"},{"key":"e_1_2_12_17_1","first-page":"377","article-title":"Does a Basic Blood Test Tell the Location of Peripheral Arterial Lesions?","volume":"31","author":"Yener A. U.","year":"2015","journal-title":"Acta Medica Mediterranea"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2021.642296"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000033984"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.33160\/yam.2020.11.008"},{"key":"e_1_2_12_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10157-022-02282-1"},{"key":"e_1_2_12_22_1","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2022.1041356"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/resp.14589"},{"key":"e_1_2_12_24_1","doi-asserted-by":"publisher","DOI":"10.3390\/diseases10010002"}],"container-title":["Journal of Clinical Laboratory Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jcla.70142","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jcla.70142","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jcla.70142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T12:51:21Z","timestamp":1769691081000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jcla.70142"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,17]]},"references-count":23,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1002\/jcla.70142"],"URL":"https:\/\/doi.org\/10.1002\/jcla.70142","archive":["Portico"],"relation":{},"ISSN":["0887-8013","1098-2825"],"issn-type":[{"value":"0887-8013","type":"print"},{"value":"1098-2825","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,17]]},"assertion":[{"value":"2025-05-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-28","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-12-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70142"}}