{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T13:00:08Z","timestamp":1790686808568,"version":"4.1.0"},"reference-count":32,"publisher":"Wiley","issue":"18","license":[{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100020872","name":"Tainan Municipal An-Nan Hospital","doi-asserted-by":"publisher","award":["ANHRF114\u201025"],"award-info":[{"award-number":["ANHRF114\u201025"]}],"id":[{"id":"10.13039\/501100020872","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Differentiating dengue from other acute febrile illnesses during initial clinical evaluation remains challenging because of the often\u2010nonspecific nature of presenting manifestations. In this study, logistic regression models were developed and externally validated to predict reverse transcription polymerase chain reaction (RT\u2010PCR)\u2010confirmed dengue by integrating conventional complete blood count (CBC) parameters and cell population data from automated hematology analyzers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This multi\u2010stage retrospective diagnostic accuracy study analyzed conventional CBC parameters and leukocyte\u2010related cell population data (CPD) features for predicting RT\u2010PCR\u2013confirmed dengue. Models were developed in clinically suspected cases based on RT\u2010PCR results from a single hospital and subsequently evaluated using internal validation and three external settings. Regression coefficients and classification cutoff values were fixed based on the training cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In total, 1689 RT\u2010PCR\u2013tested clinical specimens were analyzed (426 dengue\u2010positive and 1263 dengue\u2010negative cases). Compared with RT\u2010PCR\u2013negative febrile controls, dengue\u2010positive cases exhibited lower white blood cell and platelet counts, along with a higher monocyte distribution width (all\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). A parsimonious primary model based on four predictors achieved an area under the curve (AUC) of 0.86 in the training cohort and 0.85 in internal validation. In the independent hospital cohort, the model maintained strong discrimination (AUC\u2009=\u20090.85), with high sensitivity and negative predictive value using the prespecified training\u2010derived cutoff. Predicted\u2010positive rates remained low in the healthy cohort.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Logistic regression models integrating conventional CBC and leukocyte\u2010related CPD features demonstrated stable performance across validation settings and may facilitate dengue risk stratification using routinely available laboratory data.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcla.70334","type":"journal-article","created":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T06:03:53Z","timestamp":1787205833000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and External Validation of Logistic Regression Models Integrating Conventional Complete Blood Count and Cell Population Data for Predicting\n                    <scp>RT<\/scp>\n                    \u2010\n                    <scp>PCR<\/scp>\n                    \u2013Confirmed Dengue"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9514-2671","authenticated-orcid":false,"given":"Lin\u2010Chen","family":"Hsu","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine, An Nan Hospital China Medical University  Tainan Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu\u2010Ching","family":"Weng","sequence":"additional","affiliation":[{"name":"Clinical Laboratory of Tainan Sin\u2010Lau Hospital the Presbyterian Church in Taiwan  Tainan Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9048-6363","authenticated-orcid":false,"given":"Wen\u2010Chun","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Nursing National Tainan Junior College of Nursing  Tainan Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,19]]},"reference":[{"key":"e_1_2_11_2_1","volume-title":"Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control: New Edition","author":"WHO Guidelines Approved by the Guidelines Review Committee","year":"2009"},{"issue":"4","key":"e_1_2_11_3_1","first-page":"88","article-title":"Alteration of Haematological Parameters Among Patients With Dengue Infection","volume":"31","author":"Kotepui M. 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