{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T21:58:10Z","timestamp":1775599090167,"version":"3.50.1"},"reference-count":23,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T00:00:00Z","timestamp":1735776000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Ultrasound Medicine"],"published-print":{"date-parts":[[2025,5]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>To combine sonographic Murphy sign (SMS) with clinical parameters to effectively stratify patients into risk groups for acute cholecystitis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Consecutive emergency department patients from April 1, 2019 to August 31, 2022 with possible acute cholecystitis were grouped using patient age, sex, and white blood cell count to determine the rate of acute cholecystitis found in subgroups. Three distinct clinical risk groups were established and then regrouped by prospective assessment of SMS into three non\u2010imaging risk groups. Differences in the rate of acute cholecystitis for clinical parameters, clinical risk groups, and non\u2010imaging risk groups were statistically analyzed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of 1231 patients (mean [SD] age, 51.2 [19.5]; 476 [38.7%] male), 156 had acute cholecystitis (mean [SD] age, 62.0 [15.4]; 85 [54.5%] male). Rates differed based on sex (9.4% female vs 17.9% male, <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001), age group (1.8% for patients &lt;30\u2009years, 9.0% for patients 30\u201359\u2009years, 22.3% for patients \u226560\u2009years; <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001), and white blood cell count (23.1% elevated vs 6.6% not elevated; <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001). The low, average, and high non\u2010imaging risk groups had acute cholecystitis rates of 1.8%, 14.0%, and 43.1%, respectively. Relative risk (95% CI) for the low non\u2010imaging group compared with others was 0.07 (0.04, 0.12; <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001); relative risk for the high non\u2010imaging risk group compared with others was 7.05 (5.32, 9.43; <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Sonographic Murphy sign assessment combined with patient age, sex, and white blood cell count effectively stratifies acute care patients into distinct acute cholecystitis risk groups.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jum.16640","type":"journal-article","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T18:02:51Z","timestamp":1735840971000},"page":"807-816","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Risk of Acute Cholecystitis Based on Combination of Patient Age, Patient Sex, Leukocytosis, and Sonographic Murphy Sign"],"prefix":"10.1002","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4304-8875","authenticated-orcid":false,"given":"Anika G.","family":"Patel","sequence":"first","affiliation":[{"name":"Department of Radiology Mayo Clinic Arizona  Phoenix Arizona USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3535-2259","authenticated-orcid":false,"given":"Lea","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Arizona  Phoenix Arizona USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6691-0742","authenticated-orcid":false,"given":"Scott W.","family":"Young","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Arizona  Phoenix Arizona USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4001-0823","authenticated-orcid":false,"given":"Nirvikar","family":"Dahiya","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Arizona  Phoenix Arizona USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0985-4227","authenticated-orcid":false,"given":"Nan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Quantitative Health Sciences Mayo Clinic Arizona  Scottsdale Arizona USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7144-8684","authenticated-orcid":false,"given":"Maitray D.","family":"Patel","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Arizona  Phoenix Arizona 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