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Sliwinski S, Werneburg E, Faqar-Uz-Zaman SF, Detemble C, Dreilich J, Mohr L, Zmuc D, Beyer K, Bechstein WO, Herrle F, Malkomes P, Reissfelder C, Ritz JP, Vilz T, Fleckenstein J, Schnitzbauer AA. A toolbox for a structured risk-based prehabilitation program in major surgical oncology. Front Surg 2023; 10:1186971. [PMID: 37435472 PMCID: PMC10332323 DOI: 10.3389/fsurg.2023.1186971] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 04/17/2023] [Indexed: 07/13/2023] Open
Abstract
Prehabilitation is a multimodal concept to improve functional capability prior to surgery, so that the patients' resilience is strengthened to withstand any peri- and postoperative comorbidity. It covers physical activities, nutrition, and psychosocial wellbeing. The literature is heterogeneous in outcomes and definitions. In this scoping review, class 1 and 2 evidence was included to identify seven main aspects of prehabilitation for the treatment pathway: (i) risk assessment, (ii) FITT (frequency, interventions, time, type of exercise) principles of prehabilitation exercise, (iii) outcome measures, (iv) nutrition, (v) patient blood management, (vi) mental wellbeing, and (vii) economic potential. Recommendations include the risk of tumor progression due to delay of surgery. Patients undergoing prehabilitation should perceive risk assessment by structured, quantifiable, and validated tools like Risk Analysis Index, Charlson Comorbidity Index (CCI), American Society of Anesthesiology Score, or Eastern Co-operative Oncology Group scoring. Assessments should be repeated to quantify its effects. The most common types of exercise include breathing exercises and moderate- to high-intensity interval protocols. The program should have a duration of 3-6 weeks with 3-4 exercises per week that take 30-60 min. The 6-Minute Walking Testing is a valid and resource-saving tool to assess changes in aerobic capacity. Long-term assessment should include standardized outcome measurements (overall survival, 90-day survival, Dindo-Clavien/CCI®) to monitor the potential of up to 50% less morbidity. Finally, individual cost-revenue assessment can help assess health economics, confirming the hypothetic saving of $8 for treatment for $1 spent for prehabilitation. These recommendations should serve as a toolbox to generate hypotheses, discussion, and systematic approaches to develop clinical prehabilitation standards.
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Affiliation(s)
- Svenja Sliwinski
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Elisabeth Werneburg
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Sara Fatima Faqar-Uz-Zaman
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Charlotte Detemble
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Julia Dreilich
- Institute of Sports Medicine, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Lisa Mohr
- Institute of Sports Medicine, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Dora Zmuc
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
- Institute of Sports Medicine, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Katharina Beyer
- Department of General, Visceral and Vascular Surgery, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Association for General and Visceral Surgery (DGAV), Surgical Work Force for Perioperative Medicine, Berlin, Germany
| | - Wolf O. Bechstein
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Florian Herrle
- German Association for General and Visceral Surgery (DGAV), Surgical Work Force for Perioperative Medicine, Berlin, Germany
- Romed Klinik Prien am Chiemsee, Klinik für Allgemein- und Viszeralchirurgie, Prien am Chiemsee, Germany
| | - Patrizia Malkomes
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
| | - Christoph Reissfelder
- German Association for General and Visceral Surgery (DGAV), Surgical Work Force for Perioperative Medicine, Berlin, Germany
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Joerg P. Ritz
- German Association for General and Visceral Surgery (DGAV), Surgical Work Force for Perioperative Medicine, Berlin, Germany
- Helios Clinics Schwerin, Department for General and Visceral Surgery, Schwerin, Germany
| | - Tim Vilz
- German Association for General and Visceral Surgery (DGAV), Surgical Work Force for Perioperative Medicine, Berlin, Germany
- Department of General, Visceral, Thoracic, and Vascular Surgery, University Hospital Bonn, Bonn, Germany
| | - Johannes Fleckenstein
- Institute of Sports Medicine, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
- Department of Pain Medicine, Hospital Landsberg am Lech, Landsberg am Lech, Germany
| | - Andreas A. Schnitzbauer
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt/Main, Frankfurt/Main, Germany
- German Association for General and Visceral Surgery (DGAV), Surgical Work Force for Perioperative Medicine, Berlin, Germany
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Design and Implementation of a Comprehensive AI Dashboard for Real-Time Prediction of Adverse Prognosis of ED Patients. Healthcare (Basel) 2022; 10:healthcare10081498. [PMID: 36011155 PMCID: PMC9408009 DOI: 10.3390/healthcare10081498] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/02/2022] [Accepted: 08/03/2022] [Indexed: 11/16/2022] Open
Abstract
The emergency department (ED) is at the forefront of medical care, and the medical team needs to make outright judgments and treatment decisions under time constraints. Thus, knowing how to make personalized and precise predictions is a very challenging task. With the advancement of artificial intelligence (AI) technology, Chi Mei Medical Center (CMMC) adopted AI, the Internet of Things (IoT), and interaction technologies to establish diverse prognosis prediction models for eight diseases based on the ED electronic medical records of three branch hospitals. CMMC integrated these predictive models to form a digital AI dashboard, showing the risk status of all ED patients diagnosed with any of these eight diseases. This study first explored the methodology of CMMC’s AI development and proposed a four-tier AI dashboard architecture for ED implementation. The AI dashboard’s ease of use, usefulness, and acceptance was also strongly affirmed by the ED medical staff. The ED AI dashboard is an effective tool in the implementation of real-time risk monitoring of patients in the ED and could improve the quality of care as a part of best practice. Based on the results of this study, it is suggested that healthcare institutions thoughtfully consider tailoring their ED dashboard designs to adapt to their unique workflows and environments.
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Iacobellis F, Narese D, Berritto D, Brillantino A, Di Serafino M, Guerrini S, Grassi R, Scaglione M, Mazzei MA, Romano L. Large Bowel Ischemia/Infarction: How to Recognize It and Make Differential Diagnosis? A Review. Diagnostics (Basel) 2021; 11:diagnostics11060998. [PMID: 34070924 PMCID: PMC8230100 DOI: 10.3390/diagnostics11060998] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/25/2021] [Accepted: 05/26/2021] [Indexed: 12/19/2022] Open
Abstract
Ischemic colitis represents the most frequent form of intestinal ischemia occurring when there is an acute impairment or chronic reduction in the colonic blood supply, resulting in mucosal ulceration, inflammation, hemorrhage and ischemic necrosis of variable severity. The clinical presentation is variable and nonspecific, so it is often misdiagnosed. The most common etiology is hypoperfusion, almost always associated with generalized atherosclerotic disease. The severity ranges from localized and transient ischemia to transmural necrosis of the bowel wall, becoming a surgical emergency, with significant associated morbidity and mortality. The diagnosis is based on clinical, laboratory suspicion and radiological, endoscopic and histopathological findings. Among the radiological tests, enhanced-CT is the diagnostic investigation of choice. It allows us to make the diagnosis in an appropriate clinical setting, and to define the entity of the ischemia. MR may be adopted in the follow-up in patients with iodine allergy or renal dysfunctions, or younger patients who should avoid radiological exposure. In the majority of cases, supportive therapy is the only required treatment. In this article we review the pathophysiology and the imaging findings of ischemic colitis.
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Affiliation(s)
- Francesca Iacobellis
- Department of General and Emergency Radiology, “Antonio Cardarelli” Hospital, Antonio Cardarelli St. 9, 80131 Naples, Italy; (M.D.S.); (L.R.)
- Correspondence:
| | - Donatella Narese
- Department of Radiology, University of Campania “L. Vanvitelli”, Miraglia 2 Sq., 80138 Naples, Italy; (D.N.); (R.G.)
| | - Daniela Berritto
- Department of Radiology, Hospital “Villa Fiorita”, Appia St., km 199,00, 81043 Capua, Italy;
| | - Antonio Brillantino
- Department of Emergency Surgery, “Antonio Cardarelli” Hospital, Antonio Cardarelli St. 9, 80131 Naples, Italy;
| | - Marco Di Serafino
- Department of General and Emergency Radiology, “Antonio Cardarelli” Hospital, Antonio Cardarelli St. 9, 80131 Naples, Italy; (M.D.S.); (L.R.)
| | - Susanna Guerrini
- Unit of Diagnostic Imaging, Department of Radiological Sciences, Azienda Ospedaliero-Universitaria Senese, Bracci St. 10, 53100 Siena, Italy;
| | - Roberta Grassi
- Department of Radiology, University of Campania “L. Vanvitelli”, Miraglia 2 Sq., 80138 Naples, Italy; (D.N.); (R.G.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122 Milan, Italy
| | - Mariano Scaglione
- Department of Radiology, James Cook University Hospital, Marton Road, Middlesbrough TS4 3BW, UK;
- Teesside University School of Health and Life Sciences, Middlesbrough TS1 3BX, UK
- Department of Radiology, Pineta Grande Hospital, Domitiana St. km 30/00, 81030 Castel Volturno, Italy
| | - Maria Antonietta Mazzei
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, Bracci St. 10, 53100 Siena, Italy;
| | - Luigia Romano
- Department of General and Emergency Radiology, “Antonio Cardarelli” Hospital, Antonio Cardarelli St. 9, 80131 Naples, Italy; (M.D.S.); (L.R.)
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