{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T17:55:47Z","timestamp":1780595747050,"version":"3.54.1"},"reference-count":30,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Computed tomography is useful for the diagnosis of coronavirus disease (COVID\u201019) pneumonia. However, many types of interstitial lung diseases and even bacterial pneumonia can show abnormal chest shadows that are indistinguishable from those observed in COVID\u201019 pneumonia. Thus, it is necessary to identify useful biomarkers that can efficiently distinguish COVID\u201019 pneumonia from COVID\u201019 pneumonia\u2010like diseases. Herein, we investigated the usefulness of serum Krebs von den Lungen 6 (KL\u20106) and surfactant protein D (SP\u2010D) for identifying patients with COVID\u201019 pneumonia among patients with abnormal chest shadows consistent with COVID\u201019 pneumonia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Method<\/jats:title><jats:p>This was a retrospective cohort study of consecutive patients who underwent evaluation of serum KL\u20106 and SP\u2010D at a single center from February 2019 to December 2020. A total of 54 patients with COVID\u201019 pneumonia and 65 patients with COVID\u201019 pneumonia\u2010like diseases were enrolled in this study from the source population. Serum KL\u20106 and SP\u2010D levels in both groups were analyzed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Result<\/jats:title><jats:p>The serum levels of KL\u20106 and SP\u2010D in patients with COVID\u201019 pneumonia were significantly lower than those in patients with COVID\u201019 pneumonia\u2010like disease (median [interquartile range]: 208.5 [157.5\u2013368.5] U\/ml vs. 430 [284.5\u2013768.5]\u2009U\/ml, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001 and 24.7 [8.6\u201351.0]\u2009ng\/ml vs. 141 [63.7\u2013243.5]\u2009ng\/ml, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001, respectively). According to receiver operating characteristic (ROC) analysis, the areas under the ROC curves (95% confidence intervals) of serum KL\u20106 and SP\u2010D levels for distinguishing COVID\u201019 pneumonia from COVID\u201019 pneumonia\u2010like diseases were 0.761 (0.675\u20130.847) and 0.874 (0.812\u20130.936), respectively. The area under the ROC curve of serum SP\u2010D was significantly larger than that of serum KL\u20106 (<jats:italic>p<\/jats:italic>\u2009=\u20090.0213), suggesting that serum SP\u2010D can more efficiently distinguish COVID\u201019 pneumonia from COVID\u201019 pneumonia\u2010like diseases.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Serum SP\u2010D is a promising biomarker for distinguishing COVID\u201019 pneumonia from COVID\u201019 pneumonia\u2010like diseases. Serum SP\u2010D can be useful for the management of patients with abnormal chest shadow mimicking COVID\u201019 pneumonia.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hsr2.622","type":"journal-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T17:35:21Z","timestamp":1650908121000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Surfactant protein D: A useful biomarker for distinguishing COVID\u201019 pneumonia from COVID\u201019 pneumonia\u2010like diseases"],"prefix":"10.1002","volume":"5","author":[{"given":"Yuki","family":"Togashi","sequence":"first","affiliation":[{"name":"Department of Respiratory Medicine Tokyo Medical University Hospital Shinjuku\u2010ku Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuta","family":"Kono","sequence":"additional","affiliation":[{"name":"Department of Respiratory Medicine Tokyo Medical University Hospital Shinjuku\u2010ku Tokyo 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