Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cardiomyopathy VII: Pre and Post Operative Nursing Management01:28

Cardiomyopathy VII: Pre and Post Operative Nursing Management

405
Patients with hypertrophic cardiomyopathy (HCM) and left ventricular outflow tract (LVOT) obstruction who remain symptomatic despite optimal medical therapy may undergo a septal myectomy (Morrow procedure). This procedure involves excising a portion of the hypertrophied septum below the aortic valve using a heart-lung machine to improve blood flow through the LVOT. Effective preoperative and postoperative nursing management ensures successful patient outcomes, minimizes complications, and...
405
Peripheral Artery Disease V: Postoperative Nursing Management01:23

Peripheral Artery Disease V: Postoperative Nursing Management

490
During the postoperative period, it is crucial to focus on maintaining circulation, identifying and managing potential complications, and planning for discharge.Nursing AssessmentVital signs monitoring: Regularly monitor vital signs, including blood pressure, heart rate, respiratory rate, and temperature, to detect early signs of complications such as bleeding and infection.Circulation assessment: Monitor pulses, perform Doppler assessments, and check capillary refill, color, temperature, and...
490

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[RPT Doi Award: Deep learning-based correction for time truncation in cerebral computed tomography perfusion].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics·2026
Same author

Synthesis of biocompatible gold nanoparticles for photothermal therapy by mineralization using peptides.

RSC advances·2025
Same author

One-Pot Synthesis and Immobilization of Gold Nanoparticles Using Peptidyl Microbeads.

Molecules (Basel, Switzerland)·2025
Same author

Simultaneous Analysis of Imidazole Dipeptides, Constituent Amino Acids, and Taurine in Meats Using the Highly Sensitive Labeling Reagent l-FDVDA and PBr Column.

Journal of agricultural and food chemistry·2024
Same author

Simultaneous analysis of DL-Amino acids in foods and beverages using a highly sensitive chiral resolution labeling reagent.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2024
Same author

Deep learning-based correction for time truncation in cerebral computed tomography perfusion.

Radiological physics and technology·2024

Related Experiment Video

Updated: Mar 9, 2026

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

32.8K

New surgical scoring system to predict postoperative mortality.

Maho Kinoshita1, Nobutada Morioka2, Mariko Yabuuchi1

  • 1Department of Anesthesiology, Tokyo Women's Medical University, Shinjuku, Tokyo, 1628666, Japan.

Journal of Anesthesia
|December 21, 2016
PubMed
Summary

A new scoring system, the surgical Apgar score (sAs), and its combination with the American Society of Anesthesiologists physical status classification (SASA) effectively predict 30-day postoperative mortality. These tools offer a simple yet powerful method for assessing surgical patient risk.

Keywords:
American Society of Anesthesiologists physical status classification (ASA-PS)Patient safetyPostoperative mortalitySurgical Apgar score (sAs)

More Related Videos

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

839

Related Experiment Videos

Last Updated: Mar 9, 2026

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

32.8K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

839

Area of Science:

  • Anesthesiology
  • Surgical Outcomes Research
  • Patient Safety

Background:

  • Assessing preoperative and intraoperative patient status for predicting postoperative outcomes remains challenging.
  • Existing methods lack comprehensive and easily applicable tools for instant risk evaluation.

Purpose of the Study:

  • To develop a novel scoring system for comprehensive assessment of patient status.
  • To predict 30-day postoperative mortality instantly at the end of anesthesia.

Main Methods:

  • Analysis of 32,555 patients undergoing surgery between 2008-2012.
  • Development of the surgical Apgar score (sAs) using anesthesia records (patient characteristics, ASA-PS, lowest heart rate, lowest MAP, estimated blood loss).
  • Comparison of sAs, ASA-PS, and a combined score (SASA) against 30-day postoperative mortality.

Main Results:

  • Increased severity in sAs, ASA-PS, and SASA correlated with significantly higher mortality.
  • Risk of death increased with lower sAs and SASA scores, and higher ASA-PS scores.
  • Receiver Operating Characteristic (ROC) curve analysis showed high validity for sAs (AUC=0.81) and ASA-PS (AUC=0.79), with superior performance for SASA (AUC=0.87).

Conclusions:

  • The sAs and ASA-PS are highly effective for predicting 30-day postoperative mortality.
  • The combined SASA demonstrated superior predictive ability, offering a simple and effective scoring system.