Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12622000170729
Ethics application status
Approved
Date submitted
26/12/2021
Date registered
2/02/2022
Date last updated
2/02/2022
Date data sharing statement initially provided
2/02/2022
Type of registration
Retrospectively registered
Titles & IDs
Public title
Predicting perioperative risk in patients in aged 90-100 years.
Query!
Scientific title
A modified Aged-Adjusted Charlson Comoribidy Index risk score in predicting perioperative outcomes in nonagenarian patients.
Query!
Secondary ID [1]
306116
0
None
Query!
Universal Trial Number (UTN)
U1111-1272-8075
Query!
Trial acronym
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Cancer
324788
0
Query!
Surgical procedures
324789
0
Query!
Complications after surgery
324790
0
Query!
Mortality after surgery
324791
0
Query!
Condition category
Condition code
Surgery
322240
322240
0
0
Query!
Other surgery
Query!
Anaesthesiology
322241
322241
0
0
Query!
Other anaesthesiology
Query!
Intervention/exposure
Study type
Observational
Query!
Patient registry
True
Query!
Target follow-up duration
1
Query!
Target follow-up type
Years
Query!
Description of intervention(s) / exposure
In this study we will first be observing postoperative complications in patients aged 90-100 years who have undergone any surgical procedure or intervention at Austin Health between 1 January 2012 to 31 December 2019. As this is a retrospective study, there is no participant involvement. Only the de-identified hospital medical record of patients who have had surgery will be reviewed.
Second, we will then assess if the age-adjusted Charlson Comorbidity Index (CCI) can be applied to the nonagenarian surgical population. Our study presents the validity of age-adjusted CCI for nonagenarian patients across multiple surgical and endoscopic streams, whilst proposing a modified score in improving perioperative risk assessment for this vulnerable population.
The Charlson Comorbidity Index is a validated risk score for clinicians in predicting perioperative mortality and morbidity in comorbid patients. First introduced by Professor Mary Charlson and her peers in 1987, the CCI assesses comorbidity level through the number and severity of 19 pre-defined comorbid conditions. Scores are weighted accordingly for each disease and their severity. Charlson et al, subsequently established a refined tool with the Age-Adjusted Charlson Comorbidity Index (ACCI) in 1994, adjusting the existing CCI score for increasing age. The ACCI has subsequently been validated in predicting short term and long-term outcomes including mortality, function outcomes and hospital length of stay across different surgical populations. The CCI has since become one the most widely used scoring system for comorbidities by clinical researches for longitudinal studies and by point of care clinicians.
Query!
Intervention code [1]
322529
0
Diagnosis / Prognosis
Query!
Comparator / control treatment
This study has no control group.
Query!
Control group
Uncontrolled
Query!
Outcomes
Primary outcome [1]
330012
0
The primary outcome is to assess the accuracy of revised age-adjusted CCI risk score for quantifying peri-operative risk. This will be assessed using data from the patient medical records.
Query!
Assessment method [1]
330012
0
Query!
Timepoint [1]
330012
0
This will be calculated retrospectively from the completion of surgery to hospital discharge for the index admission only.
Query!
Secondary outcome [1]
404582
0
Complications following any surgical procedure. Complications will be assessed using the Clavien-Dindo system, a previously validated tool for grading complications. Possible complications include anastomotic leak, infection, haemorrhage, death, etc. This outcome will be obtained by reviewing data-linkage to the Austin hospital's medical records.
Query!
Assessment method [1]
404582
0
Query!
Timepoint [1]
404582
0
Complications are considered retrospectively at discharge from the completion of surgery to hospital discharge for the index admission only.
Query!
Eligibility
Key inclusion criteria
Patients aged 90-100 years undergoing any surgical or interventional procedure. All operative and anaesthetic techniques will be considered.
We will include the following types of surgeries:
1. cardiac and non-cardiac surgery
2. endoscopic procedures
3. superficial skin surgery under local anaesthesia
4. any radiological intervention requiring anaesthesia
5. cardiac procedures requiring anaesthesia (insertion of permanent pacemakers, electrical cardioversion, coronary angiograms, or any coronary intervention including transcatheter aortic valve replacements)
6. cataract extractions under topical, retrobulbar, or peribulbar eye blocks.
Query!
Minimum age
90
Years
Query!
Query!
Maximum age
100
Years
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
No
Query!
Key exclusion criteria
Any patients aged less than 90 years or great than 100 years, or a patient who does not undergo a surgical procedure.
Query!
Study design
Purpose
Natural history
Query!
Duration
Longitudinal
Query!
Selection
Defined population
Query!
Timing
Retrospective
Query!
Statistical methods / analysis
Statistical analysis will be performed using IBM SPSS Statistics for Windows, version 23 (IBM Corp., 2015, Armonk, NY, USA) and Stata/SE 13.0 for Windows (StataCorp LP, Texas, USA, 2013). Data will be deidentified, and the variable names encrypted. All data will be coded with numerical values to blind the collected variables’ characteristics to the statistician.
Data will be presented as mean ± standard deviation or median (1st?3rd quartiles) [Min:Max], or the number (percentile) for descriptive statistics. Estimated values will be described with 95% confidence intervals (CI) and presented with P-values. Any two-sided P value below 0.05 will be considered as statistically significant. In case of multiple pairwise comparisons, Bonferroni’s correction will be applied for significance. Prior to statistical analysis, normality will be assessed for continuous variables using the Quantile-Quantile plot. If normality criteria are violated, non-parametric statistical methods will be applied for that variable.
We will develop a postoperative complication and survival prediction score system based on the ACCI. When validating this prognostic model, calibration and discrimination will be evaluated and applied to establish any relevant relationship between preoperative parameters and postoperative complications. . Receiver-Operating Characteristic curves (ROC curve) will be applied to compare the performance of each scoring system in predicting postoperative complication development.
Overall mortality will also be evaluated with the Cox proportional hazard regression.
Query!
Recruitment
Recruitment status
Completed
Query!
Date of first participant enrolment
Anticipated
Query!
Actual
15/04/2021
Query!
Date of last participant enrolment
Anticipated
Query!
Actual
31/07/2021
Query!
Date of last data collection
Anticipated
Query!
Actual
1/11/2021
Query!
Sample size
Target
3100
Query!
Accrual to date
Query!
Final
3103
Query!
Recruitment in Australia
Recruitment state(s)
VIC
Query!
Recruitment hospital [1]
21425
0
Austin Health - Austin Hospital - Heidelberg
Query!
Recruitment postcode(s) [1]
36326
0
3084 - Heidelberg
Query!
Funding & Sponsors
Funding source category [1]
310467
0
Hospital
Query!
Name [1]
310467
0
Austin Health - Austin Hospital - Heidelberg
Query!
Address [1]
310467
0
Department of Anaesthesia, Austin Hospital, 145 Studley Road, Heidelberg VIC, 3084
Query!
Country [1]
310467
0
Australia
Query!
Primary sponsor type
Hospital
Query!
Name
Austin Health - Austin Hospital - Heidelberg
Query!
Address
Department of Anaesthesia, Austin Hospital
145 Studley Road, Heidelberg VIC, 3084
Query!
Country
Australia
Query!
Secondary sponsor category [1]
311617
0
None
Query!
Name [1]
311617
0
Query!
Address [1]
311617
0
Query!
Country [1]
311617
0
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
310098
0
Austin Health Human Research Ethics Committee
Query!
Ethics committee address [1]
310098
0
L8 Harold Stokes Building 145 Studley Road Heidelberg Victoria Australia 3084 PO Box 5555
Query!
Ethics committee country [1]
310098
0
Australia
Query!
Date submitted for ethics approval [1]
310098
0
01/04/2021
Query!
Approval date [1]
310098
0
08/04/2021
Query!
Ethics approval number [1]
310098
0
Audit/21/Austin/30
Query!
Summary
Brief summary
The Charlson Comorbidity Index (CCI) is a validated risk score for clinicians in predicting perioperative mortality and morbidity in comorbid patients. The CCI has been further refined with the Age-Adjusted Charlson Comorbidity Index (ACCI), adjusting the existing CCI score for increasing age. The ACCI has subsequently been validated in predicting short term and long-term outcomes including mortality, function outcomes and hospital length of stay across different surgical populations. The aim of this study is to assess if the ACCI is valid in patients aged greater than 90 years i.e. nonagenarians. Who is it for? You may be eligible for this study if you were aged > 90 years who underwent any surgical procedure for for any indication. Study details This study will be conducted using a review of medical records, and no patient contact is required. The study will review the medical records of nonagenarians who underwent any surgical intervention at the Austin Hospital over a 13-year period between 25 August 2008 and 8 June 2021. It is hoped that this research will help to provide a better understanding of predicting risk in nonagenarians undergoing minor and major surgery.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
116462
0
A/Prof Laurence Weinberg
Query!
Address
116462
0
Department of Anaesthesia, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084
Query!
Country
116462
0
Australia
Query!
Phone
116462
0
+61 394963800
Query!
Fax
116462
0
Query!
Email
116462
0
[email protected]
Query!
Contact person for public queries
Name
116463
0
Laurence Weinberg
Query!
Address
116463
0
Department of Anaesthesia, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084
Query!
Country
116463
0
Australia
Query!
Phone
116463
0
+61 394963800
Query!
Fax
116463
0
Query!
Email
116463
0
[email protected]
Query!
Contact person for scientific queries
Name
116464
0
Laurence Weinberg
Query!
Address
116464
0
Department of Anaesthesia, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084
Query!
Country
116464
0
Australia
Query!
Phone
116464
0
+61 394963800
Query!
Fax
116464
0
Query!
Email
116464
0
[email protected]
Query!
Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
Query!
No/undecided IPD sharing reason/comment
As this is an observational study, patients have not provided consent for their data to be shared.
Query!
What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
14577
Ethical approval
383351-(Uploaded-26-12-2021-20-19-33)-Study-related document.pdf
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
Download to PDF