{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T23:56:48Z","timestamp":1790812608281,"version":"4.1.0"},"reference-count":26,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Chinese Nursing Association of Young Investigator Grant 2024","award":["ZHKYQ 202403"],"award-info":[{"award-number":["ZHKYQ 202403"]}]},{"name":"Zhejiang Province Medical and Health Science and Technology Project","award":["2023563534"],"award-info":[{"award-number":["2023563534"]}]},{"name":"Zhejiang Province Medical and Health Science and Technology Project","award":["2023KY108"],"award-info":[{"award-number":["2023KY108"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Int Med Res"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify risk factors for flexible gastrointestinal endoscope reprocessing failure and develop a practical risk-scoring model for the early identification of high-risk reprocessing cycles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective observational study, conducted from January to December 2025 at three endoscopy centers, included 2744 reprocessing cycles that adhered to WS 507-2016. Internal validation was performed using a split-sample approach, with 70% of the sample used for model derivation and 30% for validation. Predictors were selected using univariable and multivariable logistic regression and converted into an integer-based scoring system, with the optimal cutoff determined using the Youden index. Reporting followed the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis and Strengthening the Reporting of Observational Studies in Epidemiology guidelines, and the study was conducted in accordance with the Declaration of Helsinki.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among the 2744 eligible reprocessing cycles, 682 (24.85%) exhibited reprocessing failure. Six independent predictors were identified: brushing personnel, washer\u2013disinfector type, accessory use frequency, prior repair history, time from removal to reprocessing, and staff age. The scoring system, with a range of \u22122 to 18, achieved an area under the curve of 0.834 (95% confidence interval: 0.804\u20130.864) in the validation cohort. At a cutoff of \u226510, sensitivity was 0.725, specificity was 0.808, positive predictive value was 0.554, and negative predictive value was 0.899. Calibration was satisfactory based on the Hosmer\u2013Lemeshow test and bootstrap analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The internally validated scoring system enables the early identification of high-risk reprocessing cycles and may support quality improvement efforts. However, external validation is needed to assess its generalizability.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/03000605261491484","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T14:13:39Z","timestamp":1790604819000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and internal validation of a risk-scoring model for gastrointestinal flexible endoscope reprocessing failure: A retrospective observational study"],"prefix":"10.1177","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4615-6524","authenticated-orcid":false,"given":"Liangyu","family":"Fang","sequence":"first","affiliation":[{"name":"The Second Affiliated Hospital of Zhejiang University School of Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoxuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Zhejiang University School of Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meifeng","family":"Wu","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Zhejiang University School of Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinchuan","family":"Xu","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Zhejiang University School of Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"key":"e_1_3_3_2_2","volume-title":"2019 top 10 health technology hazards executive brief","author":"ECRI Iunstitte","year":"2019","unstructured":"ECRI Iunstitte. 2019 top 10 health technology hazards executive brief. 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