Publications by authors named "Shiva Shahiri T"

Objectives: Pain assessment in the intensive care unit (ICU) is challenging because many patients are unable to self-report or exhibit pain-related behaviors. In such situations, vital signs (VS) through continuous monitoring are alternative cues for pain assessment. This review aimed to describe the reliability and validity of VS for ICU pain assessment.

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Introduction: The aim of this study was to explore the use of a multi-parameter technology, the Nociception Level (NOL) index (Medasense Biometrics Ltd, Ramat Gan, Israel), for pain assessment in postoperative awake patients after cardiac surgery during non-nociceptive and nociceptive procedures in the intensive care unit (ICU).

Materials And Methods: A prospective cohort repeated-measures design was used. Patients were included if they were in the ICU after undergoing cardiac surgery and if they could self-report their pain.

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Background: Real-time automated analysis of videos of the microvasculature is an essential step in the development of research protocols and clinical algorithms that incorporate point-of-care microvascular analysis. In response to the call for validation studies of available automated analysis software by the European Society of Intensive Care Medicine, and building on a previous validation study in sheep, we report the first human validation study of AVA 4.

Methods: Two retrospective perioperative datasets of human microcirculation videos (P1 and P2) and one prospective healthy volunteer dataset (V1) were used in this validation study.

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Article Synopsis
  • - The review analyzed 106 articles to evaluate the effectiveness of behavioral pain assessment tools for critically ill adults who cannot communicate, focusing on their scale development, reliability, and clinical use.
  • - Nine specific tools for noncommunicative critically ill adults and four for other groups were compared using a scoring system to assess their quality.
  • - The top-rated tools, such as the Behavioral Pain Scale and Critical-Care Pain Observation Tool, have shown strong psychometric properties and validation across different countries and languages, though more research is needed on other alternatives.
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