{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T02:35:35Z","timestamp":1777516535663,"version":"3.51.4"},"reference-count":40,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T00:00:00Z","timestamp":1725753600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100003725","name":"the National Research Foundation of Korea","doi-asserted-by":"crossref","award":["2016R1A2B4009800"],"award-info":[{"award-number":["2016R1A2B4009800"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin Nurs Res"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:p>Neutropenic sepsis (NS) is one of the leading causes of death among patients with hematologic malignancies. Identifying its predictive factors is fundamental for early detection. Few studies have evaluated the predictive factors in relation to microbial infection confirmation, which is clinically important for initiating sepsis treatment. This study aimed to determine whether selected biomarkers (i.e., body temperature, C-reactive protein, albumin, procalcitonin), treatment-related characteristics (i.e., diagnosis, duration of neutropenia, treatment modality), and infection-related characteristics (i.e., infection source, causative organisms) can predict NS in patients with hematologic malignancies. We also aimed to identify the optimal predictive cutoff points for these parameters. This retrospective case\u2013control study used the data from a total of 163 patients (58 in the sepsis group and 105 in the non-sepsis group). We collected data with reference to the day of specimen collection, with which microbial infection was confirmed. Multiple logistic regression was used to determine predictive risk factors and the area under the curve (AUC) of the receiver operating characteristic for the optimal predictive cutoff points. The independent predictors of NS were average body temperature during a fever episode and procalcitonin level. The odds for NS rose by 9.97 times with every 1\u00b0C rise in average body temperature (95% confidence interval, CI [1.33, 75.05]) and by 2.09 times with every 1\u2009ng\/mL rise in the procalcitonin level (95% CI [1.08, 4.04]). Average body temperature (AUC\u2009=\u20090.77, 95% CI [0.68, 0.87]) and procalcitonin levels (AUC\u2009=\u20090.71, 95% CI [0.59, 0.84]) have fair accuracy for predicting NS, with the optimal cutoff points of 37.9\u00b0C and 0.55\u2009ng\/mL, respectively. This study found that average body temperature during a fever episode and procalcitonin are useful in predicting NS. Thus, nurses should carefully monitor body temperature and procalcitonin levels in patients with hematologic malignancies to detect the onset of NS.<\/jats:p>","DOI":"10.1177\/10547738241273862","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T08:53:18Z","timestamp":1725958398000},"page":"610-619","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting Neutropenic Sepsis in Patients with Hematologic Malignancy: A Retrospective Case\u2013Control Study"],"prefix":"10.1177","volume":"33","author":[{"given":"Jiwon","family":"Lee","sequence":"first","affiliation":[{"name":"Hematological Intensive Care Unit, Seoul St. Mary\u2019s Hospital, The Catholic University of Korea, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2127-3046","authenticated-orcid":false,"given":"Hee-Ju","family":"Kim","sequence":"additional","affiliation":[{"name":"College of Nursing, The Catholic University of Korea, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,9,8]]},"reference":[{"key":"bibr1-10547738241273862","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajic.2020.02.014"},{"key":"bibr2-10547738241273862","doi-asserted-by":"crossref","unstructured":"Akalu T. Y., Gebremichael B., Desta K. W., Aynalem Y. A., Shiferaw W. S., Alamneh Y. M. (2020). Predictors of neonatal sepsis in public referral hospitals, Northwest Ethiopia: A case control study. 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(2012). Neutropenic sepsis: Prevention and management of neutropenic sepsis in cancer patients. National Institute for Health and Clinical Excellence (NICE). 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