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Clinical Advances in General and Regional Anesthesia

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Anesthesiology".

Deadline for manuscript submissions: 25 September 2026 | Viewed by 537

Special Issue Editor


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Guest Editor
Department of Scienza dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, 00168 Rome, Italy
Interests: regional anesthesia; general anesthesia; lung ultrasound; mechanical ventilation; hemodynamic monitoring; oncoanaesthesia

Special Issue Information

Dear Colleagues,

The core of modern anesthesia practice is an integrated, planned, and personalised approach to patient care before, during, and after any surgical procedure involving general and regional anesthesia. The goal of modern anesthesia is to improve the patient experience and outcomes, lower the occurrence of postoperative issues, decrease the number of days spent in the hospital, and minimize readmissions after surgery.

The aim of this Special Issue is to collate original research articles, notable clinical findings, and review articles that present and discuss the advancement of research and innovative approaches involving general and regional anesthesia, with particular interest in the overall care of patients with cancer during surgery (oncoanaesthesia), peri-operative ventilatory support, hemodynamic monitoring, and perinatal anesthesia, covering different aspects of personalized treatments.

We especially encourage the submission of interdisciplinary works and multi-country collaborative research. We welcome submissions of original research papers using different study designs and critical and relevant reviews.

Dr. Luciano Frassanito
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • oncoanesthesia
  • perinatal anesthesia
  • ventilatory support
  • hemodynamic monitoring
  • regional anesthesia

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Published Papers (1 paper)

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Research

14 pages, 254 KB  
Article
Single Cancer Center Experience on Patient Blood Management Eligibility in Oncological Surgery
by Camilla L’Acqua, Roberto Lillini, Rosamaria Limuti, Flavio Arienti, Chiara Maura Ciniselli, Paolo Verderio, Ilaria Cavallo, Paolo Baili and Giulia Perrone
J. Clin. Med. 2026, 15(7), 2543; https://doi.org/10.3390/jcm15072543 - 26 Mar 2026
Viewed by 355
Abstract
Background: Accurate identification of patients at high risk of perioperative blood transfusion is essential for optimizing patient blood management (PBM) strategies in oncological surgery. However, the performance of standard PBM eligibility criteria in real-world oncological settings remains incompletely characterized. Material and Methods: We [...] Read more.
Background: Accurate identification of patients at high risk of perioperative blood transfusion is essential for optimizing patient blood management (PBM) strategies in oncological surgery. However, the performance of standard PBM eligibility criteria in real-world oncological settings remains incompletely characterized. Material and Methods: We conducted a retrospective, single-center analysis of 4228 consecutive patients undergoing elective oncological surgery of any complexity or liver transplantation over a 9-month period to assess transfusion need and estimate access to preoperative patient blood management (PBM) strategies to improve anemia management. Transfusion events were assessed within 24 h after surgery (PS24) and during the perioperative period (PO; 48 h before to 72 h after surgery). Two PBM eligibility strategies were applied to the same patient cohort and compared: (A) an observational approach, based on predefined PBM indicators (transfusion rate and transfusion index by surgical complexity), and (B) a multivariable modeling approach based on pre- and intraoperative anesthesiology assessment to estimate individual transfusion risk. Predictive performance of both strategies was evaluated using accuracy, Cramér’s V, area under the receiver-operating characteristic curve (AUC-ROC), and Brier score. Results: Overall, 7.7% of patients received transfusion within PS24 and 9.2% during PO. According to the observational approach, 23.8% of patients were classified as PBM-eligible, accounting for 89.2% of PS24 transfusions and 87.1% of PO transfusions. In the multivariable modeling approach, independent predictors of transfusion included surgical type (e.g., sarcoma surgery: OR 22.8 for PS24; OR 6.3 for PO; vs. senology surgery OR 1 for PS24; OR 1 for PO, respectively), anemia severity (moderate anemia: OR 64.3 and OR 107.9, respectively and mild anemia OR 3.38 and OR 3.65, respectively), high surgical complexity, operative time >3 h (>3 h: OR 8.83 and OR 8.65, respectively vs. <3 h OR 1 and OR 1, respectively), and ICU admission risk. The observational approach demonstrated stronger alignment with actual transfusion events (Cramér’s V = 0.44–0.47) and higher overall accuracy (90.8–92.3%); in contrast, a multivariable modeling approach showed superior discrimination (AUC = 0.94–0.95) and lower Brier scores, indicating better individual risk prediction. Conclusions: In a large real-world cohort of oncological surgical patients, standard PBM eligibility criteria effectively identified the majority of patients requiring perioperative transfusion. While multivariable modeling provided greater predictive precision, the observational PBM approach demonstrated strong clinical alignment and practical applicability. Integrating both strategies may support more effective transfusion risk stratification and PBM planning in oncological surgery. Full article
(This article belongs to the Special Issue Clinical Advances in General and Regional Anesthesia)
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