Frontiers in Anesthesia and Pain Medicine

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".

Deadline for manuscript submissions: closed (15 November 2021) | Viewed by 7100

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
Department of Anesthesiology and Intensive Care Medicine, Medical University of Graz, 8036 Graz, Austria
Interests: pain management; anesthesiology; preventive analgesia; quality of life

E-Mail Website
Guest Editor
Clinic of Anesthesiology & Resuscitation, University Clinical Center Sarajevo, Sarajevo 71000, Bosnia & Herzegovina
Interests: anesthesiology; pain medicine; intensive care medicine

Special Issue Information

Dear Colleagues,

Despite the great reduction in mortality that anesthesiology has achieved in recent decades, there are still many limitations that significantly impair the quality of life of patients in the perioperative phase: thirst, nausea, cognitive impairment, and particularly pain are some examples of the multiple negative consequences that surgery can have. In these areas of patient-related outcome parameters, there is still a great need for scientific work to optimize the improvement of clinical patient care. This Special Issue will compile original studies and reviews on this field of research; Topic include, but are not limited to the following:

  • Strategies for reducing postoperative pain
  • Interventions to minimize persistent postoperative pain
  • Improving patients perioperative wellbeing and quality of life
Other areas of perioperative medicine research not specifically listed will also be considered.

 

Dr. Helmar Bornemann-Cimenti
Prof. Dr. Ismet Suljević
Guest Editors

Manuscript Submission Information

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Keywords

  • anesthesia
  • anesthesiology
  • pain management
  • analgesia
  • patient-related outcome parameter
  • anesthetics
  • physiology
  • pharmacology

Published Papers (2 papers)

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Review

12 pages, 287 KiB  
Review
Post-Mastectomy Pain: An Updated Overview on Risk Factors, Predictors, and Markers
by Marco Calapai, Emanuela Esposito, Luisa Puzzo, Daniele Alfio Vecchio, Rosario Blandino, Giuseppe Bova, Domenico Quattrone, Carmen Mannucci, Ilaria Ammendolia, Cristina Mondello, Sebastiano Gangemi, Gioacchino Calapai and Luigi Cardia
Life 2021, 11(10), 1026; https://0-doi-org.brum.beds.ac.uk/10.3390/life11101026 - 29 Sep 2021
Cited by 7 | Viewed by 3059
Abstract
After breast surgery, women frequently develop chronic post-mastectomy pain (PMP). PMP refers to the occurrence of pain in and around the area of the mastectomy lasting beyond three months after surgery. The nature of factors leading to PMP is not well known. When [...] Read more.
After breast surgery, women frequently develop chronic post-mastectomy pain (PMP). PMP refers to the occurrence of pain in and around the area of the mastectomy lasting beyond three months after surgery. The nature of factors leading to PMP is not well known. When PMP is refractory to analgesic treatment, it negatively impacts the lives of patients, increasing emotional stress and disability. For this reason, optimizing the quality of life of patients treated for this pathology has gained more importance. On the basis of the findings and opinions above, we present an overview of risk factors and predictors to be used as potential biomarkers in the personalized management of individual PMP. For this overview, we discuss scientific articles published in peer-reviewed journals written in the English language describing risk factors, predictors, and potential biomarkers associated with chronic pain after breast surgery. Our overview confirms that the identification of women at risk for PMP is fundamental to setting up the best treatment to prevent this outcome. Clinical practice can be planned through the interpretation of genotyping data, choosing drugs, and tailoring doses for each patient with the aim to provide safer and more effective individual analgesic treatment. Full article
(This article belongs to the Special Issue Frontiers in Anesthesia and Pain Medicine)
15 pages, 1822 KiB  
Review
Implicit Memory and Anesthesia: A Systematic Review and Meta-Analysis
by Federico Linassi, David Peter Obert, Eleonora Maran, Paola Tellaroli, Matthias Kreuzer, Robert David Sanders and Michele Carron
Life 2021, 11(8), 850; https://0-doi-org.brum.beds.ac.uk/10.3390/life11080850 - 19 Aug 2021
Cited by 4 | Viewed by 3081
Abstract
General anesthesia should induce unconsciousness and provide amnesia. Amnesia refers to the absence of explicit and implicit memories. Unlike explicit memory, implicit memory is not consciously recalled, and it can affect behavior/performance at a later time. The impact of general anesthesia in preventing [...] Read more.
General anesthesia should induce unconsciousness and provide amnesia. Amnesia refers to the absence of explicit and implicit memories. Unlike explicit memory, implicit memory is not consciously recalled, and it can affect behavior/performance at a later time. The impact of general anesthesia in preventing implicit memory formation is not well-established. We performed a systematic review with meta-analysis of studies reporting implicit memory occurrence in adult patients after deep sedation (Observer’s Assessment of Alertness/Sedation of 0–1 with spontaneous breathing) or general anesthesia. We also evaluated the impact of different anesthetic/analgesic regimens and the time point of auditory task delivery on implicit memory formation. The meta-analysis included the estimation of odds ratios (ORs) and 95% confidence intervals (CIs). We included a total of 61 studies with 3906 patients and 119 different cohorts. For 43 cohorts (36.1%), implicit memory events were reported. The American Society of Anesthesiologists (ASA) physical status III–IV was associated with a higher likelihood of implicit memory formation (OR:3.48; 95%CI:1.18–10.25, p < 0.05) than ASA physical status I–II. Further, there was a lower likelihood of implicit memory formation for deep sedation cases, compared to general anesthesia (OR:0.10; 95%CI:0.01–0.76, p < 0.05) and for patients receiving premedication with benzodiazepines compared to not premedicated patients before general anesthesia (OR:0.35; 95%CI:0.13–0.93, p = 0.05). Full article
(This article belongs to the Special Issue Frontiers in Anesthesia and Pain Medicine)
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