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Laios A, Kalampokis E, Mamalis ME, Thangavelu A, Tan YS, Hutson R, Munot S, Broadhead T, Nugent D, Theophilou G, Jackson RE, De Jong D. Explaining the Elusive Nature of a Well-Defined Threshold for Blood Transfusion in Advanced Epithelial Ovarian Cancer Cytoreductive Surgery. Diagnostics (Basel) 2023; 14:94. [PMID: 38201403 PMCID: PMC10795734 DOI: 10.3390/diagnostics14010094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/18/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
There is no well-defined threshold for intra-operative blood transfusion (BT) in advanced epithelial ovarian cancer (EOC) surgery. To address this, we devised a Machine Learning (ML)-driven prediction algorithm aimed at prompting and elucidating a communication alert for BT based on anticipated peri-operative events independent of existing BT policies. We analyzed data from 403 EOC patients who underwent cytoreductive surgery between 2014 and 2019. The estimated blood volume (EBV), calculated using the formula EBV = weight × 80, served for setting a 10% EBV threshold for individual intervention. Based on known estimated blood loss (EBL), we identified two distinct groups. The Receiver operating characteristic (ROC) curves revealed satisfactory results for predicting events above the established threshold (AUC 0.823, 95% CI 0.76-0.88). Operative time (OT) was the most significant factor influencing predictions. Intra-operative blood loss exceeding 10% EBV was associated with OT > 250 min, primary surgery, serous histology, performance status 0, R2 resection and surgical complexity score > 4. Certain sub-procedures including large bowel resection, stoma formation, ileocecal resection/right hemicolectomy, mesenteric resection, bladder and upper abdominal peritonectomy demonstrated clear associations with an elevated interventional risk. Our findings emphasize the importance of obtaining a rough estimate of OT in advance for precise prediction of blood requirements.
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Affiliation(s)
- Alexandros Laios
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | - Evangelos Kalampokis
- Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece; (E.K.); (M.-E.M.)
- Center for Research & Technology HELLAS (CERTH), 6th km Charilaou-Thermi Rd, 57001 Thessaloniki, Greece
| | - Marios-Evangelos Mamalis
- Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece; (E.K.); (M.-E.M.)
| | - Amudha Thangavelu
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | - Yong Sheng Tan
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | - Richard Hutson
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | - Sarika Munot
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | - Tim Broadhead
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | - David Nugent
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | - Georgios Theophilou
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
| | | | - Diederick De Jong
- Department of Gynaecologic Oncology, St James’s University Hospital, Leeds LS9 7TF, UK; (A.T.); (Y.S.T.); (R.H.); (S.M.); (T.B.); (D.N.); (G.T.); (D.D.J.)
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Nabi G. Surgical procedure time and postoperative complications: Quality assurance of intraoperative events. Scott Med J 2022; 67:79. [PMID: 35929721 DOI: 10.1177/00369330221112128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Ghulam Nabi
- Division of Imaging Sciences and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK
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