Perioperative Predictors
Perioperative Predictors - Related Videos
13:37
A Mouse Tumor Model of Surgical Stress to Explore the Mechanisms of Postoperative Immunosuppression and Evaluate Novel Perioperative Immunotherapies
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Cited by 32 •
2014
A mouse tumor model of surgical stress is used to explore how postoperative immune suppression promotes metastatic disease and to evaluate immunostimulatory perioperative therapies.
05:40
The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
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Cited by 5 •
2022
This study aims to show that the Progressive-Ratio Computer-assisted Alcohol-Infusion System (CAIS) paradigm is a reliable and sensitive method that can be used to examine the motivating properties associated with alcohol self-administration in humans.
13:04
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Cited by 19 •
2012
Using functional MRI and behavioral methods to determine the neural representation of the subjective value of risky and ambiguous options in the human brain.
04:13
An Adjuvant Therapy in a Mouse Model with an Incompletely Resected Subcutaneous Tumor
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2025
This video illustrates testing of adjuvant or additional therapy in a mouse model with incompletely resected subcutaneous tumors. The partially tumor-resected mouse is treated with an antibody targeting the anti-cytotoxic protein of T regulatory cells, potentially reducing tumor regrowth and suggesting effective adjuvant therapy.
07:59
Implantation of Engineered Tissue in the Rat Heart
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Cited by 4 •
2009
Here, we describe a cardiac surgical procedure to implant engineered tissue in the atrioventricular (AV)-groove of an adult Lewis rat.
FAQs
Risk estimation becomes more informative when patient, procedure, and care-related factors are considered together rather than in isolation. A patient’s comorbidities and physiologic status may interact with surgical complexity and the planned level of care, changing the expected likelihood of complications or recovery challenges. This integrated view helps clinicians match management intensity to anticipated needs.
Clinical judgment synthesizes the available patient and procedural context, whereas risk scores organize selected measurable factors into a structured estimate. Statistical models use relationships between those factors and observed outcomes to support more systematic prediction. Used together, these approaches can inform discussions and planning while incorporating clinical details relevant to the individual case.
Changes in comorbidities, physiologic status, laboratory findings, surgical complexity, or care-related characteristics can alter the expected outcome. These variables connect measurable patient and procedure information with outcomes such as complications, recovery, length of stay, readmission, or mortality. Considering this range supports a broader assessment than relying on a single isolated finding.
During preoperative evaluation, clinicians review relevant patient characteristics, physiologic status, laboratory findings, and procedural complexity. They then use clinical judgment, risk scores, or statistical models to estimate potential outcomes. The resulting assessment can support informed discussions, guide decisions about monitoring and resources, and focus strategies intended to reduce complications.
Their relevance extends across the surgical pathway because outcomes may be assessed before, during, and after surgery. Perioperative predictors can therefore support decisions about monitoring, management, and resource allocation as care progresses. They also help clinicians anticipate outcomes such as recovery difficulties, prolonged length of stay, readmission, or mortality rather than focusing only on the operation itself.
In research, perioperative predictors help investigators compare patients’ underlying risk across studies instead of interpreting outcomes without context. They also help identify factors associated with recovery, length of stay, readmission, or mortality. This supports analysis of which characteristics correlate with different postoperative trajectories and provides a framework for describing study populations.