{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T14:44:09Z","timestamp":1792075449518,"version":"4.4.0"},"reference-count":26,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T00:00:00Z","timestamp":1787443200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T00:00:00Z","timestamp":1787443200000},"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":["J Paediatrics Child Health"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Preterm neonates are at high risk of morbidity and mortality due to physiological immaturity and susceptibility to complications. The prognostic nutritional index (PNI), calculated from serum albumin and lymphocyte counts, is an inflammation\u2010based biomarker widely used to predict prognosis in adult diseases. However, its role in neonatology remains unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To evaluate the association between PNI and early mortality in preterm infants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Preterm infants born at &lt;\u200932\u2009weeks of gestation and admitted to the neonatal intensive care unit were retrospectively analysed. Demographic, clinical and laboratory data were obtained from medical records. Infants who died within the first 7\u2009days of life were defined as the mortality group and compared with survivors. PNI was calculated using lymphocyte and albumin levels measured within the first 24\u2009h of life. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive performance of PNI for early mortality, and multi\u2010variable logistic regression analysis was performed to identify independent predictors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 142 infants were included, of whom 17 (12%) died within the first 7\u2009days. Gestational age, birth weight and Apgar scores were significantly lower in the mortality group, whereas maternal smoking was more frequent. PNI values were significantly lower in infants who died (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). ROC analysis demonstrated an AUC of 0.703 for PNI in predicting early mortality with a cut\u2010off value of 40 (sensitivity 77%, specificity 64%). Multi\u2010variable logistic regression analysis identified low PNI (&lt;\u200940) and gestational age as independent predictors of early mortality.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>PNI may serve as an adjunctive biomarker to complement established clinical predictors of early neonatal mortality in preterm infants.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jpc.70554","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T06:13:03Z","timestamp":1787551983000},"page":"1995-2002","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Early Mortality Risk Assessment in Preterm Neonates Using the Prognostic Nutritional Index"],"prefix":"10.1111","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6304-4073","authenticated-orcid":false,"given":"Seyma","family":"Butun Turk","sequence":"first","affiliation":[{"name":"Department of Neonatology Ankara Bilkent City Hospital, University of Health Sciences  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0055-8277","authenticated-orcid":false,"given":"Mustafa Senol","family":"Akin","sequence":"additional","affiliation":[{"name":"Department of Neonatology Ankara Bilkent City Hospital, University of Health Sciences  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4643-7622","authenticated-orcid":false,"given":"Fatma Nur","family":"Sari","sequence":"additional","affiliation":[{"name":"Department of Neonatology Ankara Bilkent City Hospital, University of Health Sciences  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8956-0917","authenticated-orcid":false,"given":"Evrim","family":"Alyamac Dizdar","sequence":"additional","affiliation":[{"name":"Department of Neonatology Ankara Bilkent City Hospital, University of Health Sciences  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,23]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2023.102155"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.2147\/CLEP.S321763"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1136\/adc.2008.148015"},{"issue":"2","key":"e_1_2_13_5_1","article-title":"Intraventricular Hemorrhage in Preterm Newborn: Predictors of Mortality","volume":"93","author":"Piccolo B.","year":"2022","journal-title":"Acta Bio\u2010Medica Atenei 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