Retrospective Analysis of Sarcopenia in Older Patients Undergoing Laparotomy

Retrospective Analysis of Sarcopenia in Older Patients Undergoing Laparotomy-

Assess the influence of sarcopenia on outcomes of emergency laparotomy in the over 65 age group

Study Overview

• Status: Unknown
• Conditions: Emergencies; Frailty; Surgery
• Intervention / Treatment: Diagnostic test: Sarcopenia estimation

Detailed Description

Emergency laparotomy is associated with substantial morbidity and mortality. These risks are increased in the elderly population with a third of over-80s dying within thirty days of surgery, rising to 50% at 1-year post emergency laparotomy. Many patients are frail and have multiple co-morbidities, often with coexistent malnutrition and so present a significant challenge in the emergency surgery setting. The National Emergency Laparotomy Audit has reported that greater than half of patients undergoing emergency laparotomy in the UK are over-65 years of age and are the highest risk patients with the highest mortality. This group, therefore, is one in which accurate prognostication is desirable to allow optimal treatment decisions, provision of critical care treatment, and resource allocation.

A number of multivariate risk prediction models exist including POSSUM, P-POSSUM and APACHE-II with on-going modification of P-POSSUM as part of the National Emergency Laparotomy Audit(NELA). Whilst such models are commonly used, evidence suggests that they may be less accurate in elderly patients, a group which offer difficult decision-making problems to the surgeon

. Frailty is the lack of physiological functional reserve and is commonplace in elderly patients. It has profound effects on the ability to withstand and recover from emergency surgery. Despite this, frailty does not form part of the commonly used multivariate risk prediction models.

Sarcopenia is the progressive and global loss of skeletal muscle mass as well as reduction in strength and is closely linked to frailty. Multiple methods of quantifying skeletal muscle mass and therefore sarcopenia have been defined, but calculation of psoas major cross-sectional area on pre-operative CT imaging may be the most pragmatic in the emergency setting due to routine use of pre-operative CT imaging prior to emergency laparotomy. Measurement of the psoas major as a marker of sarcopenia has been shown to predict outcomes in a wide range of surgical specialties. However, there is no consensus as to how this marker of sarcopenia should be used in surgical practice.

Proposal- To assess the utility of psoas major measurement to predict outcomes following emergency laparotomy in older patients and whether it could enhance the accuracy of mortality prediction when combined with P-POSSUM model variables.

Methods An analysis of data collected as part of the National Emergency Laparotomy Audit was conducted. Data were collected from patients over the age of 65 who underwent emergency laparotomy in Merseyside, United Kingdom between 2014 and 2018. Patients who underwent pre-operative cross-sectional imaging with abdominal CT pre-operatively were included in the analysis.

Demographic, histological, clinical, biochemical and operative data were collected and analysed by accessing patient clinical notes and electronic records.

Outcome measures included inpatient mortality, 30-day mortality and 90-day mortality.

Radiological Analysis Pre-operative CT imaging of the abdomen were accessed and analysed. Cross-sectional images at the level of the L3 inferior end plate were analysed. Cross-sectional area of the psoas major and L3 vertebral body (mm2) were calculated and a ratio of psoas major to L3 cross-sectional area calculated (PML3) . Higher PML3 values indicate higher levels of skeletal muscle mass. Cross-sectional area calculation was conducted using the area of interest tool.

Statistical Analysis Statistical analysis for continuous variables was conducted using Mann-Whitney U test and Chi-squared test for categorical variables. Receiver operating characteristics curves were used for analysis of association of PML3 with mortality.

Multivariate analysis was conducted using binary logistic regression analysis. Logistic regression models were produced including P-POSSUM variables with and without the inclusion of PML3. Receiver operating characteristic analysis of the respective logistic regression models were conducted to assess whether the addition of PML3 enhanced mortality prediction.

• Study Type: Observational
• Enrollment (Anticipated): 200

Contacts and Locations

• Study Contact: Name: Conor Magee, MD; Phone Number: +441516785111; Email: conormagee@nhs.net
• Study Contact Backup: Name: Greg Simpson, FRCS; Phone Number: +441516785111; Email: gregorysimpson@doctors.org.uk

Study Locations

• United Kingdom
  • Wirral
    • Upton, Wirral, United Kingdom, CH49 5PE
      • Recruiting
      • WUTH
      • Contact: Conor Magee, MD; Phone Number: 01516785111
      • Sub-Investigator: Greg Simpson, MB CHB

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 65 years to 110 years (OLDER_ADULT)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Patients undergoing emergency laparotomy aged 65 or over

Description

Inclusion Criteria:

• Patient aged 65 or over having emergency laparotomy

Exclusion Criteria:

• None

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Number of participants who die between zero and thirty days	Post-operative death	30 days
Number of participants who die between zero and ninety days	Post-operative death	90 days

Collaborators and Investigators

• Sponsor: Wirral University Teaching Hospital NHS Trust
• Investigators: Principal Investigator: Conor Magee, MD, Wirral University Teaching Hospitals

Study record dates

Study Major Dates

• Study Start (ACTUAL): January 1, 2015
• Primary Completion (ANTICIPATED): August 1, 2022
• Study Completion (ANTICIPATED): December 1, 2022

Study Registration Dates

• First Submitted: July 20, 2020
• First Submitted That Met QC Criteria: July 28, 2020
• First Posted (ACTUAL): July 30, 2020

Study Record Updates

• Last Update Posted (ACTUAL): October 8, 2020
• Last Update Submitted That Met QC Criteria: October 6, 2020
• Last Verified: October 1, 2020

More Information

Terms related to this study

• Keywords: laparotomy; frailty; surgery; emergency; mortality; sarcopenia; risk
• Additional Relevant MeSH Terms: Pathologic Processes; Nervous System Diseases; Neurologic Manifestations; Disease Attributes; Neuromuscular Manifestations; Pathological Conditions, Anatomical; Muscular Atrophy; Atrophy; Emergencies; Frailty; Sarcopenia
• Other Study ID Numbers: Sarco1

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No