Daniel E Hall, MD, MDiv, MHSc
Professor of Surgery, Anesthesia and Perioperative Medicine, University of Pittsburgh
Medical Director, High Risk Populations and Outcomes, Wolff Center at UPMC
Staff Surgeon, VA Pittsburgh Healthcare System
Core Investigator, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System
National Diffusion of Excellence Fellow, VA
THE SURGICAL PAUSE:
Preoperative Frailty Screening and Prehabilitation
MSQC/ASPIRE April 8, 2022
Outline
• The Risk Analysis Index & the Surgical Pause
• Origin story
• Conceptual framework
• Data—It works
• Your Questions
•NOT going to tell you
who should/should not
have surgery
•May cause anxiety
•New ways of thinking
•Changing culture is hard
Observed/Expected Mortality at the Omaha VAMC
(Red points are > 90% Confidence Interval)
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2008 2009 2010 2011 2012 2013 2014
Mortality O/E Ratio
Fiscal Year
Origin Story & Conceptual Framework
Omaha: We’ve got a problem
Silver Tsunami
5
• 1/3 of patients had surgical
interventions in last year of life
• Majority occurred in month
before death
• Surgery associated with
• More admissions
• Longer LOS
• Greater ICU LOS
Kwok AC. Lancet. 2011;378(9800):1408-1413.
We know some patients don’t do well
Smith T, et al., JAMA Surg. 2016;151(5):417-422.
But surgeons are optimists!
“Where all the surgeons are strong, all
the anesthesiologists are good looking,
and all the patients are above average.”
Now how accurate is your eyeball?
10
Systematic, multifactorial, risk assessment
• “Foot of the bed” assessments of cardiac risk not reliable due to
disagreement between clinicians.
• Hii TB, et al. Heart Lung Circ. 2015;24(6):551-556.
• Multifactorial tools are superior to single-item assessments.
• Afilalo J, et al. Circulation. 2017;135(21):2025-2027
• Hurria A, et al. J Clin Oncol. 2011;29(25):3457-3465.
• Fried L, et al. The Journals of Gerontology: Series A, 2004; 59(3):M255–M263
• Vascular Surgeons effectively estimate mortality, but underestimate
complications and long-term disability compared to multifactorial tool.
• George EL, et al. J Surg Res. 2020;248:38-44.
• Modified Geriatric Assessment (mGA) effectively identifies frailty among
patients that oncologists considered non frail (e.g. ↑ sensitivity).
• Kirkhus, et al. Br J Cancer 117, 470–477 (2017)
Frailty is the Best Predictor of Postoperative
Outcomes….
Makary MA, et al., J Am Coll Surg. 2010;210(6):901-908
• Mortality
• Complications
• Failure to Rescue
• Length of Stay
• Readmission
• Loss of Independence
Why Frailty?
A clinical syndrome of decreased
physiological reserve
• process whereby small deficits
accumulate in multiple adaptive
systems, any one of which might be
clinically insignificant, but together
they produce significant vulnerability
to stress that can lead to catastrophic
decompensation.
• multiple causes and contributors
• characterized by diminished strength,
endurance, nutrition, and cognitive
capacity
• More than just age or the sum of
comorbidities (not captured by
standard risk stratification tools like
ASA or Eagle criteria).
Robert, C. M., & Sean, M. B. (2014). Physiological Reserve and Frailty in
Critical Illness. Oxford, UK: Oxford University Press.
Patient Presents to
Outpatient Surgical Clinic
Risk Stratify by Assessing Frailty
SURGICAL PAUSE (Make No Promises)
• Further Risk Assessment & Mitigation
• Risk-informed Shared Decision
Making Process
Surgery
Non Operative
Management
Usual
Care
Prehabilitation
The
Surgical
Pause
So what happened in Omaha?
• Modified an existing frailty measure (MMRI) for use in surgery
• RISK ANALYSIS INDEX (RAI)
• Made it mandatory to book OR time
• Conducted weekly review of all surgeries scheduled on frail patients.
• Spoke with surgeon to review operative decision making.
• Spoke with anesthesiologists to optimize anesthetic plan.
• Spoke with intensivists to encourage post-operative rescue from near certain
complications.
• Aggressive referral for preoperative palliative care to clarify goals.
Observed/Expected Mortality at the Omaha VAMC
(Red points are > 90% Confidence Interval)
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2008 2009 2010 2011 2012 2013 2014
Mortality O/E Ratio
Fiscal Year
Outcomes: Decreased Mortality
Start Frailty Screening Initiative
Omaha Frailty Screening Initiative (FSI)
• 180-day mortality among frail fell from 23.9% to 7.7%
(p<0.001)
• 3-fold survival advantage after FSI implementation
(OR 2.87 [95%CI 1.98-4.16]), controlling for:
• Age
• Frailty
• Predicted mortality based on VA risk-adjustment
Hall, DE. et al. JAMA Surgery 152(3) doi:10.1001/jamasurg.2016.4202 (Nov 23).
FSI Changed Perioperative Palliative Care
• Changed Pattern of Perioperative Palliative Care Care Consult
• Rate increased from 32 to 56 per year.
• More often ordered by a surgeon (56.7% vs 24.4%; p< 0.05).
• More often ordered before surgery (52.0% vs 26.3%; p< 0.05).
• Controlling for age, frailty and whether the patient had surgery, Preoperative
Palliative Care Consult reduced risk of death when:
• ordered by a surgeon (AOR 0.50[95% CI 0.30-0.83], p=0.007).
• ordered before surgery (AOR 0.52[95% CI 0.30-0.90], p=0.02).
• ordered by surgeon before surgery (AOR 0.27[95% CI 0.11-068], p=0.006)
Ernst, K. F., et al(2014). JAMA Surg, 149(11), 1121-1126.
Decreased Mortality at VA Pittsburgh
Frailty Screening Initiative begins 12/15/15
Decreased Mortality at UPMC
• Interrupted Time Sequence Analysis with segmented
Poisson regression.
• 51,385 patients July 2016-November 2020
• 23,153 before BPA Implementation
• 28,232 after BPA Implementation
• Overall 180-day mortality reduction
• aOR 0.76 [95% CI 0.65-0.88 ]
• 2-fold survival advantage among frail.
• aOR for survival 2.14 [95% CI 1.42-3.21]
• Cut raw mortality among frail from 14% to 7%
• Lag-adjusted ITS model
• 0.03 fewer 180-day mortalities/1,000 procedures/month
_cons .3495465 .123177 2.84 0.005 .1081239 .590969
lag_180 .1069392 .0404603 2.64 0.008 .0276385 .1862398
interaction -.0278729 .0082757 -3.37 0.001 -.0440931 -.0116528
intervention -.2864171 .1280697 -2.24 0.025 -.5374291 -.0354051
death_time .0206505 .0037606 5.49 0.000 .0132799 .0280211
rate_180 Coefficient std. err. z P>|z| [95% conf. interval]
Robust
OK, but… I can get anyone through a minor procedure:
RAI, Operative Stress and Mortality
• Delphi consensus methodology to rate
operative physiological stress.
• 566 surgical procedures that account for 90% of
all VA surgery
• Ratings by panel of surgeons and
anesthesiologists
• Consensus reached after 3 rounds of rating.
• 5-point Operative Stress Score:
1-cystoscopy, hydrocele, ganglion cyst
2-inguinal or umbilical hernia, arthroscopy of knee
or shoulder
3-cholecystectomy, CEA, arthroplasty of knee,
shoulder or hip
4-open colectomy, prostatectomy, pulmonary
lobectomy or segmentectomy
5-abdominal aortic aneurysm,
pancreaticoduodenectomy, esophagectomy
Shinall, Myrick C. et al. JAMA Surgery 10.1001/jamasurg.2019.4620 (Nov 13).
0
10
20
30
40
180 day Mortality Rate
1 2 3 4 5
Physiological Stress Category
<=20 21-29
30-39 40+
RAI-A Category
180 day Mortality by Physiologic Stress and RAI-A Categories
NO SUCH THING AS LOW-RISK SURGERY FOR THE FRAIL
Practical Implementation at UPMC
Frailty Screening
Online RAI
RAI Survey
Frailty
Risk
Analysis
Index
Functional
Activities of
Daily Living
Physical
CHF
CKD
Dyspnea
Cancer
Cognitive
Mental
Status
Nutritional
Weight Loss
Appetite
Social
Age
Sex
Living
Location
1
Arya et al. Ann Surgery 2019; Shah, et al, J Am Geriatrics 2020; Varley, et al, Ann Surgery 2020
Risk Analysis Index (RAI)
• 14 Variables; weighted scale
• Grouped into 4 categories
with increasing frailty severity
Robust: 0-29
Average: 30-36
Frail: 37-44
Very Frail: ≥ 45
• Most thoroughly validated
measure of surgical frailty,
and only shown feasible for
point-of-care testing
1
RAI Validation in Veterans and Private Sector
VASQIP & ACS-NSQIP
VASQIP (c=0.842, n=480,731) ACS-NSQIP (c=0.870, N=1,391,785)
0%
20%
40%
60%
80%
100%
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80
RAI-rev
Predicted
Observed
C-statistic= 0.842 (0.839-0.845)
0%
20%
40%
60%
80%
100%
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70
RAI-rev
Predicted
Observed
C-statistic= 0.870 (0.867-0.873)
Arya, S. et al. Annals of Surgery doi 10.1097/SLA.0000000000003276 (2019, March 23).
RAI Implementation at UPMC: Feasible
Time to assess: 30 seconds (IQR 23-53)
More than 450,000 Assessments to Date
Varley PR, et al Ann Surg. 2020 10.1097/SLA.0000000000003808.
Including me!
5/20/2021
A torn achilles made
me less mobile than
the day before…
but not frail yet.
Now available in Epic
as a Clinical Program
Implementation Map
31
Active Sites (28)
Exploratory/Interested
Sites (14)
Puerto Rico
Map Legend
Pending Sites (6)
• Total of 50 engaged sites across ALL 18 VISNs
• 28 Sites are active
• 16 sites are considered fully
implemented
• 12 sites are nearing full
implementation within the next few
months.
• FY22 Goal:
• 35 fully implemented sites across 18 VISNs
Threshold for Action: Revised RAI ≥ 37
• Riskiest 10% of population;
• At least twice the average 6-month mortality
• 12% vs 6%
• Twice the rate of 30- and 90-day readmission
• 22% vs 12%
• Twice the rate of long term ICU stay ≥ 5 days
• 6% vs. 3%
• Modest positive predictive value: 19%
• Strong negative predictive value: 96%
• Safe to operate on patients with Revised RAI<37 (e.g. most patients)
Step 1:
Assess Frailty
Step 2:
Do Something About It
Review
↓Mortality
25% to 8% (6-month Mortality)
•3-Fold Survival Advantage
Changes Care Plans
21% declined surgery
↑Functional Performance
↑Endurance
↑Gait Speed
↑Respiratory Pressures
Changed Care Plans
UPMC
Feb 1- Sep 20, 2018
49.654 Patients Screened
2149 (4.3%) RAI ≥ 37
549 (27%) Surgery Planned
472 (86%)
Shared Decision
132 (24%)
CPC
147 (27%)
PCP
28 (21%)
Non-Op
Mngmt
73 (56%)
Delay for
Prehab
5 (4%)
Less
Complex
26 (20%)
No
Delay
~ 1 Day Reduction in LOS compared to historical controls
Baseline to Day of Surgery
Significant Changes in Physical Performance
Measure
Baseline
Mean (SD)
Day of Surgery
Mean (SD)
Mean Difference
(Standard Error)
Minimum
Clinically
Important
Difference
Extended TUG
(seconds)
N=42
21.9 (12.5)
N=33
17.8 (4.6)
-2.3 (0.5)
<0.001 2.4s
Gait Speed
(meters/second)
N=42
1.11 (0.32)
N=33
1.24 (0.30)
+0.1 (0.03)
0.002 0.1m/s
5 Chair Rise
(seconds)
N=38
13.3 (5.7)
N=33
11.8 (4.6)
-1.6 (0.6) 0.007 2.3s
Six Minute Walk
Test
(meters)
N=40
348.6 (109.1)
N=30
380.6 (102.2)
+29.3 (15.6) 0.060
30m
SPPB Score
N=41
10.2 (1.9)
N=33
10.8 (1.1)
+0.6 (0.3) 0.068 1 unit
Implementation Nuts and Bolts
Two Step Process
• Step 1: Measure Frailty
• Don ‘t Triage the Triage Tool (Measure on Everyone)
• Must measure frailty before booking surgery date
Two Step Process
• Step 2: Do Something About It
• Surgeon champion review
• Interdisciplinary Review Panel
• Surgery, Anesthesia, Palliative Care, Geriatrics, IMPACT Clinic
• Real time or Time Asynchronous
• Goal Clarification & Shared Decision Making
• ”Not a candidate” is NOT shared decision making
• Avoid mental model of “fixing it”
• I’m worried that no matter what we do life will never be the same for you
• Best, Worst, and Most Likely Scenarios of at least 2 options
• Who has this conversation?
• Palliative care has skill but not necessarily the knowledge
• Surgeons have the knowledge, but not necessarily the skill
• Training options available
Lessons Learned
• It’s not a math problem
• Maximizing c-statistics is a distraction
• No algorithm can determine what we should/should not do
• RAI signals need to shift from fast to slow thinking
• It’s about insight not technique
• Shared decision making is really challenging, but it is the next frontier
• Focusing on all-cause mortality creates opportunity
• The RAI works because it is simple, fast, and guides intervention
• Phenotypical frailty may be more “pure” but not feasible for wide screening
• Don’t try to triage the triage tool
• Light, flexible touch—not too much structure
• With a gentle nudge, surgeons step up
• So adapt to your site’s requirements
• 1-2 hours/week of surgical champion
Many thanks to growing Research network.
• Health Systems with RAI
• Atlanta-Emory/VA
• Nashville-Vanderbilt
• Phoenix-VA
• Pittsburgh-UPMC/VA
• Palo Alto-Stanford/VA
• Omaha-UNMC/VA
• Richmond-VA
• Houston-Baylor/VA
• Salt Lake-Utah/VA
• San Antonio-UTH/VA
• Indiana-University
• University of New Mexico
• RAI Workgroup
• Jason, Dan, Shipra
• Ricky Shinall
• Nader Massarweh
• Rupen Shah
• VQI workgroup
• Philip Goodney
• Matthew Mell
• Benjamin Brooke
• Larry Kraiss
• Team Hall/UPMC/VAPHS
• Ada Youk
• Andrew Bilderback
• Jacob Hodges
• Jeff Borrebach
• Mary K Wisniewski
• Tami Minnier
• Steve Shapiro
• Mark Wilson
• Joel Nelson
• Bob Arnold
• Johanna Bellon
• Dan Forman
• Kelly Allsup
• Jonas Johnson
• Stephen Esper
• Jenn Holder-Murray
• Team Arya/Stanford/ VA
Palo Alto/ VA Atlanta/
Emory
• Sebastian Perez
• Amber Trickey
• Rui Chen
• Kelly Blum
• Elizabeth George
• Kara Rothenberg
• Jordan Stern
• Arden Morris
• Mary Hawn
• Ronald Dalman
• Paula Tucker
• Luke Brewster
• Theodore Johnson
• Jason Hockenberry
• Team Johanning/
UNMC/NWICHS/
VISN 23
• Tom Lynch
• Kendra
Schmid
• Kaeli Samson
• Georgia Lyles
• Krishna
Chaitanya
• Karen Taylor
• Tom Edes
• Richard
Allman
• Scott Shreve
• Jahnigen
Scholars
• Health and
Aging Policy
Fellowship
Questions?
hallde@upmc.edu
….Including Cost (Reality Check)
2,530,000
802,872
Robinson TN, et al., Am J Surg. 2011;202(5):511-514.
RAI & Cost: Direct and Net Hospital Costs
Total cost odds ratio (with 95% CI, as demonstrated
by box plot) on logarithmic scale. Calculated as
odds of significantly frail patients costing greater
than the median cost for inpatient elective
operations stratified by service and Risk Analysis
Index with unfrail patients (not depicted) as the
reference value (*p < 0.05).
Univariate Analysis:
↑length of stay (0.8 v. 2.1 days)
↑ total cost ($6,934 v. $13,319)
↓ net hospital income ($5,447 v. $3,129)
Multivariate analysis:
↑ direct cost (OR 2.2)
↑ indirect cost (OR 1.9)
↑ total cost (OR 2.2)
↓ net income (OR 0.8)
(all p<0.001)
Wilkes JG, et al. J Am Coll Surg. 2019;228(6):861-870.
UPMC Charges normalized to 'Normal 30-36' total charges
Category
Robust
≤29
Normal 30
to 36
Frail 37 to
44
Very frail
≥45
Inpatient
Inpatient Surgical DRG
0.34 0.34 0.35 0.34
ER to Inpatient Surgical DRG
0.03 0.05 0.07 0.08
Inpatient Medical DRG, General, Specialist and Observation
0.06 0.11 0.14 0.19
Inpatient Rehabilitation
0.00 0.00 0.01 0.01
Inpatient Behavioral Health
0.00 0.00 0.00 0.00
Ambulance from Facility to Facility
0.00 0.00 0.00 0.00
Subtotal Inpatient Charges
0.43 0.51 0.57 0.62
Outpatient
Outpatient Surgery
0.04 0.07 0.05 0.06
Outpatient Hospital and Specialized Facility
0.09 0.28 0.21 0.24
Outpatient Office, PCP and Other
0.01 0.02 0.02 0.03
Therapy Service (Is this like Outpatient Rehab/PT?)
0.01 0.00 0.00 0.00
Outpatient Behavioral Health
0.00 0.00 0.00 0.00
ER Discharged to Home
0.01 0.01 0.01 0.01
Observation, from ER or Office
0.01 0.01 0.01 0.01
Subtotal Outpatient Charges
0.17 0.39 0.32 0.36
Post
Acute
Nursing, Skilled and General
0.01 0.02 0.05 0.07
Home Care
0.03 0.05 0.06 0.07
Subtotal Post Acute Charges
0.04 0.08 0.11 0.14
Other
Other (e.g., Lab, OB/GYN, Maternity, Urgent Care)
0.00 0.01 0.01 0.00
Shock Claims
0.04 0.01 0.05 0.04
Subtotal Other Charges
0.04 0.02 0.05 0.04
Total Charge 0.69 1.00 1.05 1.17
OK, but…it’s only for those (other) surgeons:
RAI, Operative Stress, Mortality and Specialty
George EL, et al., JAMA Surg. 2020:e205152. 10.1001/jamasurg.2020.5152
“But the RAI is too subjective….”
Do ”objective” biomarkers help?
0.8 0.81 0.82 0.83 0.84 0.85 0.86 0.87 0.88
RAI-A
RAI-Ar
RAI-Ar + BMI
RAI-Ar + Creatnine
RAI-Ar + Hematocrit
RAI-Ar + Albumin
RAI-Ar + Biomarkers
RAI-Ar + Blood Biomarkers
C-Statistic
Pandalai, et al, ACS Clinical Congress, 2020
Maybe, but is the juice worth the squeeze?
RAI RAI+Hematocrit
0
20
40
60
80
100
0 20 40 60 80
RAI-A-r Recalibrated Score
Observed Mortality Predicted Mortality
95% Confidence Interval
0
20
40
60
80
100
0 20 40 60 80
RAIA-r Recalibrated Score w/ Hct
Observed Mortality Predicted Mortality
95% CI
Pandalai, et al, ACS Clinical Congress, 2020
RAI Survey Implementation at UPMC
Discrimination
C= 0.815 (95% CI 0.788-0.842)
Calibration
95.6% of predicted deaths within
95% CI of observed deaths
Varley PR, et al Ann Surg. 2020 10.1097/SLA.0000000000003808.
Multi-Mode Frailty Assessment
• 2-step process
• Screen with RAI (30-seconds)
• Physical function measures for the potentially frail (RAI≥37)
• Grip Strength
• Gait Speed
• TUG
• MiniCog
• Additional History (medication, admission, etc)
Clinic Runway
Goal Clarification
Best Case Worst Case Scenario Planning
• Developed by and for surgeons for
preoperative conversations
• Presents a choice between two options.
• Uses story telling to describe what is likely
under the best, worst and most likely
scenarios.
• Sparks a conversation about patient goals,
values, fears and aspirations.
• Memorialized in a graphic aid. (Check out
the white board video)
• Requires substantial communication skills.
6 Steps for BC/WC
• Recognize that bad/serious news needs to be broken
• Create a visual aid
• Surgery vs. Non Op Management
• Treatment A vs. Treatment B
• Gets you clear in your own head
• Simplifies language
• Physical deposit for family
• Break bad news
• Tell stories about best, worst and most likely scenarios
• Why stories: Scenario Planning
• Elicit preferences: What is important to you now?
• Make a recommendation
UPMC Adaptation
• Gathering information on operative and non-operative options and
outcomes (e.g., “cat herding”
• Making a recommendation to the surgeon rather than the patient
Surgery
Worst Case:
Best Case:
Worst Case:
Best Case:
Most Likely:
Most Likely:
• ICU 2-3 days
• Hospital 1-2
weeks
• Eat again
• Nursing home
• ICU with complications
• Much weaker than
before
• Nursing home, never go
home again
• Long surgery
• Die in ICU,
unable to
talk to family
Supportive
care
• Obstruction
resolves
• Back and forth to
hospital
• Nursing home
• Obstruction doesn’t
resolve
• Unable to eat
• Pain controlled
• Die in the hospital, time
to say goodbye
• Obstruction
doesn’t resolve
• Die in the
hospital
Older Woman with Cervical Spine Fracture
• Mrs. Goldstein is an 83 y/o woman with CAD with prior CABG, hypertension, COPD, CKD, and prior
CVA who tripped and fell down a flight of stairs at home. She was brought to the ED by ambulance
and found to have no feeling or movement in her legs and arms. Imaging reveals an unstable cervical
spine fracture at C5. Prior to her fall she had been in usual health. She denies angina, palpitations,
or syncope, and has some mild dyspnea on exertion. She lives with her husband, and was otherwise
independent in her ADL’s and IADL’s. Husband is 7 years her junior and spry.
• Exam: Awake, alert, fully oriented, no acute distress. No elevated JVP. Lungs clear without use of
accessory muscles. Cardiac rhythm regular, no murmurs. No leg edema. Neurologic exam consistent
with C5 quadriplegia.
• VS: T 36.4 BP 128/76 P 92 RR 20 O2 sat 98% on 2 lpm
• Labs: CBC normal, BMP with baseline creatinine of 2.5
• EKG: Sinus tachycardia, no ischemic changes
• CXR: clear, no acute infiltrates
With Surgery Without Surgery
Best Case
•
Long procedure in OR to stabilize cervical spine
• Post-op stay in ICU
• Evaluation by PM&R with transfer to the
inpatient spinal cord rehab program
• Eventual return home with adaptations to live
with quadriplegia
• Lives another 12-24 months with constant
assistance from husband and visiting nurses.
• Avoidance of surgical risk
• Focus on comfort managed by
hospice
• Family can remain near
• C-collar removed after 6 weeks,
except during transfers.
• Likely pulmonary complications
• Lives 4-12 months before
terminal pneumonia
Worst Case
• Surgical complications requiring one or more
additional surgeries
• Prolonged ICU stay
• Failure to wean from ventilator requiring
tracheostomy
• Post-op pneumonia
• Complications of quadriplegia including skin
breakdown, DVT
• Death in the ICU in 2-4 weeks
•
Pain requiring narcotics, possibly
sedating
• Phantom pain; spasms.
• Never goes home because
require inpatient hospice
• Early pneumonia or mucous
plugging
• Death in 1-3 weeks
Most Likely Case
• Prolonged but technically successful
stabilization surgery
• Multiple days in ICU
• Likely respiratory complications
• Prolonged hospital stay
• Extended rehab in a skilled setting
• Permanent placement in SNF
• Lives another 6-18 months
• Successful ability to control
symptoms of pain and shortness
of breath
• Fracture remains unstable
requiring C-collar most of the
time.
• Home hospice
• Survives 2-6 months.
Risk Analysis Index (RAI)—Initial Validation
• Administrative RAI (RAI-A)
• Computed from VASQIP/NSQIP variables
• Predicts 180 day mortality (C= 0.823)
• Clinical RAI (RAI-C)
• 14 Item survey instrument
• Administered by RN, APP or MD
• Linear scale from 0-81
• < 2 minutes to complete
• > 10,000 measurements from 2011-2014.
• Predicts 180 day mortality (C= 0.772)
• Correlation RAI-A:RAI-C=0.547
Hall, DE. et al. JAMA Surgery 152(2) doi:10.1001/jamasurg.2016.4202 (Nov 23).
RAI seems to work, but…..
• Scoring system never calibrated in surgical population
• Validation limited to a single VA hospital
• What about other VA hospitals
• What about non-VA hospitals
• What about women?
• Questions remain:
• Would the “objectivity” of biomarkers help?
• What procedures matter most (should everyone be screened)?
• Are some specialties exempt?
RAI-A Validation in Veteran Patients (VASQIP)
(N=480,731)
Original RAI-A (c=0.813) Revised RAI-A (c=0.842)
0%
20%
40%
60%
80%
100%
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80
RAI-A
Predicted
Observed
C-statistic= 0.813 (0.810-0.817)
0%
20%
40%
60%
80%
100%
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80
RAI-rev
Predicted
Observed
C-statistic= 0.842 (0.839-0.845)
Arya, S. et al. Annals of Surgery doi 10.1097/SLA.0000000000003276 (2019, March 23).
RAI-A Validation in Men and Women
ACS-NSQIP (N=1,391,785)
Men (c=0.845, N=584,698 ) Women (c=0.885, N=807,087)
0%
20%
40%
60%
80%
100%
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70
RAI-rev
Predicted
Observed
0%
20%
40%
60%
80%
100%
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70
RAI-rev
Predicted
Observed
C-statistic= 0.885 (0.881-0.889)C-statistic= 0.845 (0.841- 0.85)
Arya, S. et al. Annals of Surgery doi 10.1097/SLA.0000000000003276 (2019, March 23).
The impact of frailty on mortality in non-surgical head
and neck cancer treatment: Shifting the paradigm.
• Objective: Compare survival
treated with surgical and
non-surgical management,
stratified by frailty using RAI.
• Cohort: 165 patients with
malignant disease & RAI
• 59 Major Surgery
• 62 Major Surgery + Adjuvant
• 54 Non-surgical therapy
Mady LJ, et al., Oral Oncol. Mar 2022;126:105766.
10.1016/j.oraloncology.2022.105766
• Methods: Multivariable cox
proportional hazard models
• RAI, stage, tumor site, tumor type
• Results: ↓Survival Non-Surgical
• Overall (N=165)
• Among the Frail (69)
• HR 2.5 (1.19,5.23) surgery
• HR 3.91 (1.94,7.89) multimodal
• ↓Survival with ↑Frailty
• Conclusions:
• Non-surgical management is
worse than surgical management
across all levels of frailty
• Challenge assumption of “too frail
for surgery”
• RCTs needed to clarify treatment
of frail patients
Mady LJ, et al., Oral Oncol. Mar 2022;126:105766.
10.1016/j.oraloncology.2022.105766
The impact of frailty on mortality in non-surgical head
and neck cancer treatment: Shifting the paradigm.
• Objective: Compare survival
treated with surgical and
non-surgical management,
stratified by frailty using RAI.
• Cohort: 165 patients with
malignant disease & RAI
• 59 Major Surgery
• 62 Major Surgery + Adjuvant
• 54 Non-surgical therapy
Mady LJ, et al., Oral Oncol. Mar 2022;126:105766.
10.1016/j.oraloncology.2022.105766
• Methods: Multivariable cox
proportional hazard models
• RAI, stage, tumor site, tumor type
• Results: ↓Survival Non-Surgical
• Overall (N=165)
• Among the Frail (69)
• HR 2.5 (1.19,5.23) surgery
• HR 3.91 (1.94,7.89) multimodal
• ↓Survival with ↑Frailty
• Conclusions:
• Non-surgical management is
worse than surgical management
across all levels of frailty
• Challenge assumption of “too frail
for surgery”
• RCTs needed to clarify treatment
of frail patients
Mady LJ, et al., Oral Oncol. Mar 2022;126:105766.
10.1016/j.oraloncology.2022.105766
• Methods: Univariate and multivariable linear and logistic
regression
• RAI, stage, tumor site, tumor type
• Results:
• Univariate ↑Flourishing with age, normal diet, employment, & income
• ↓Flourishing associated with
• ↑Depression
• ↑Anxiety
• ↑Swallowing Dysfunction
• ↑Neck Disability
• ↑Insomnia
• Results (continued)
• Interesting and
meaningful patterns in
sub-domains of flourishing
• Conclusions:
• Common late-term side
effects of HNC treatment
associated with
↓Flourishing
• Further data of this kind
may inform treatment
decisions consistent with
patients’ goals
Harris A, Cancer Med. Mar 11 2022;10.1002/cam4.4636
That’s our story, and then there is peer review:
George EL, Hall DE, Youk A, Chen R, Kashikar A, Trickey AW, Varley PR, Shireman PK, Shinall MC,
Massarweh NN, Johanning JM, Arya S. Patient frailty and postoperative mortality after
noncardiac surgery—does specialty matter? JAMA Surgery (in press).
Agarwal N, Goldschmidt E, Taylor T, Souvik R, Altieri-Dunn S, Bilderback AL, Friedlander RM,
Kanter AS, Okonkwo DO, Gerszten PC, Hamilton DK, Hall DE. Impact of Frailty on
Outcomes following Spine Surgery: A Prospective Cohort Analysis of 668 Patients.
Neurosurgery (in press).
Shinall, M. C., Jr, Youk, A., Massarweh, N. N., Shireman, P. K., Arya, S., George, E. L., & Hall, DE.
(2020). Association of Preoperative Frailty and Operative Stress With Mortality After
Elective vs Emergency Surgery. JAMA Network Open, 3(7), e2010358-e2010358.
doi:10.1001/jamanetworkopen.2020.10358
Shah R, Borrebach JD, Hodges JC, Varley PR, Wisniewski MK, Shinall MC, Jr., Arya S, Johnson J,
Nelson JB, Youk A, Massarweh NN, Johanning JM, Hall DE. Validation of the Risk Analysis
Index for Evaluating Frailty in Ambulatory Patients. J Am Geriatr Soc. 2020;68(8):1818-
1824.
Varley PR, Borrebach JD, Arya S, Massarweh NN, Bilderback AL, Wisniewski MK, Nelson JB,
Johnson JT, Johanning JM, Hall DE. Clinical Utility of the Risk Analysis Index as a
Prospective Frailty Screening Tool within a Multi-practice, Multi-hospital Integrated
Healthcare System. Ann Surg. 10.1097/SLA.0000000000003808. 2020. PMID: 32118596.
Rothenberg KA, George EL, Trickey AW, Barreto NB, Johnson TM, 2nd, Hall DE, Johanning JM,
Arya S. Assessment of the Risk Analysis Index for Prediction of Mortality, Major
Complications, and Length of Stay in Patients who Underwent Vascular Surgery. Ann Vasc
Surg. 10.1016/j.avsg.2020.01.015. 2020. PMID: 31935435.
Li Z, Habbous S, Thain J, Hall DE, Nagpal D, Bagur R, Kiaii B, John-Baptiste A. Cost-effectiveness
analysis of frailty assessment in older patients undergoing coronary artery bypass grafting
(CABG) surgery. Canadian Journal of Cardiology.
https://doi.org/10.1016/j.cjca.2019.09.025. 2020;36(4):490-499. PMID: 32220386.
Shinall MC, Jr, Arya S, Youk A, Varley P, Shah R, Massarweh NN, Shireman PK, Johanning JM,
Brown AJ, Christie NA, Crist L, Curtin CM, Drolet BC, Dhupar R, Griffin J, Ibinson JW,
Johnson JT, Kinney S, LaGrange C, Langerman A, Loyd GE, Mady LJ, Mott MP, Patri M,
Siebler JC, Stimson CJ, Thorell WE, Vincent SA, Hall DE. Association of Preoperative Patient
Frailty and Operative Stress With Postoperative Mortality. JAMA Surgery. 2019: e194620-
e194620. 10.1001/jamasurg.2019.4620. PMID: 31721994 PMCID: PMC6865246
Rothenberg KA, Stern JR, George EL, Trickey AW, Morris AM, Hall DE, Johanning JM, Hawn MT,
Arya S (2019). Association of Frailty and Postoperative Complications on Unplanned
Readmissions Following Elective Outpatient Surgery. JAMA Network Open, 2(5)
doi:10.1001/jamanetworkopen.2019.4330. PMID: 31125103. PMCID: PMC6632151
Arya, S., Varley, P., Youk, A., Borrebach, J. A., Perez, S., Massarweh, N. N., . . . Hall, DE. (2019).
Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty
Assessment Tool. Ann Surg. doi:10.1097/SLA.0000000000003276. PMID: 30907757.
Shah, R., Attwood, K., Arya, S., Hall, DE, Johanning, J. M., Gabriel, E., . . . Massarweh, NN. (2018).
Association of Frailty With Failure to Rescue After Low-Risk and High-Risk Inpatient
Surgery. JAMA Surg, 153(5), e180214. doi:10.1001/jamasurg.2018.0214. PMID: 29562073
Hall, DE., Arya, S., Schmid, K. K., Carlson, M. A., Lavedan, P., Bailey, T. L., Purviance, G.,
Bockman, T, Lynch, T.G., Johanning, J. M. Association of a Frailty Screening Initiative with
post-operative survival at 30, 180 and 365 days. JAMA Surgery. doi:
10.1001/jamasurg.2016.4219 Epub Nov 30, 2016. PMID: 27902826, PMCID: PMC7180387.
Hall, DE, Arya, S., Schmid, K. K., Blaser, C., Carlson, M. A., Bailey, T. L. Purviance, G., Bockman, T.,
Lynch, T.G., Johanning, J. M. Development and initial validation of the Risk Analysis Index
(RAI) for measuring frailty in surgical populations. JAMA Surg 2017 152(2):175-182 doi:
10.1001/jamasurg.2016.4202 Epub Nov 23, 2016. PMID: 27893030. PMCID: PMC7140150.
Ernst K, Hall DE, Lynch TJ, Schmid, KK, Seevers, G, Lavedan, P, Lynch, T, Johanning J. Surgical
palliative care consultations over time in relation to system wide frailty-screening. JAMA
Surgery. 2014: 149(11):1121-1126 DOI: 10.1001/jamasurg.2014.1393. PMID: 25207603.
PMCID: PMC4603652.
Codman, Hawthorne, and End Results of a Watched System.Johanning JM, Arya S.JAMA Surg.
2016 Dec 1;151(12):1165. doi: 10.1001/jamasurg.2016.2901.PMID: 27653007
Preoperative Frailty Increases Risk of Nonhome Discharge after Elective Vascular Surgery in
Home-Dwelling Patients.Arya S, Long CA, Brahmbhatt R, Shafii S, Brewster LP,
Veeraswamy R, Johnson TM 2nd, Johanning JM.Ann Vasc Surg. 2016 Aug;35:19-29. doi:
10.1016/j.avsg.2016.01.052. Epub 2016 Jun 2.PMID: 27263810
Frailty and Mortality After Noncardiac Surgery in Elderly Individuals: Metrics, Systems, and the
Elephant.Johanning JM, Hall D, Arya S.JAMA Surg. 2016 Jun 1;151(6):545-6. doi:
10.1001/jamasurg.2015.5235.PMID: 26790639
A frailty index identifies patients at high risk of mortality after tracheostomy.Johnson MS, Bailey
TL, Schmid KK, Lydiatt WM, Johanning JM.Otolaryngol Head Neck Surg. 2014
Apr;150(4):568-73. doi: 10.1177/0194599813519749. Epub 2014 Jan 16.PMID: 24436464
Preoperative frailty predicts postoperative complications and mortality in urology
patients.Isharwal S, Johanning JM, Dwyer JG, Schimid KK, LaGrange CA.World J Urol. 2017
Jan;35(1):21-26. doi: 10.1007/s00345-016-1845-z. Epub 2016 May 12.PMID: 27172940
Preoperative frailty Risk Analysis Index to stratify patients undergoing carotid
endarterectomy.Melin AA, Schmid KK, Lynch TG, Pipinos II, Kappes S, Longo GM, Gupta PK,
Johanning JM.J Vasc Surg. 2015 Mar;61(3):683-9. doi: 10.1016/j.jvs.2014.10.009. Epub
2014 Dec 9.PMID: 25499711
Risk Prediction Tools to Improve Patient Selection for Carotid Endarterectomy Among Patients
With Asymptomatic Carotid Stenosis.Keyhani S, Madden E, Cheng EM, Bravata DM, Halm
E, Austin PC, Ghasemiesfe M, Abraham AS, Zhang AJ, Johanning JM.JAMA Surg. 2019 Apr
1;154(4):336-344. doi: 10.1001/jamasurg.2018.5119.
Summary of the panel session at the 38th Annual Surgical Symposium of the Association of VA
Surgeons: what is the big deal about frailty?Anaya DA, Johanning J, Spector SA, Katlic MR,
Perrino AC, Feinleib J, Rosenthal RA.JAMA Surg. 2014 Nov;149(11):1191-7. doi:
10.1001/jamasurg.2014.2064.PMID: 25230137
Assessing preoperative frailty utilizing validated geriatric mortality calculators and their
association with postoperative hip fracture mortality risk.Dwyer JG, Reynoso JF, Seevers
GA, Schmid KK, Muralidhar P, Konigsberg B, Lynch TG, Johanning JM.Geriatr Orthop Surg
Rehabil. 2014 Sep;5(3):109-15. doi: 10.1177/2151458514537272.PMID: 25360340
The CPRS RAI
Reminder
Dialogue
Template
National
Release
9/13/21
Cerner Next
Complimentary Initiatives
SAGE QUERI
Safer Ageing through
Geriatric-informed
Evidence-based practices
•Pittsburgh, PA
•Philadelphia, PA
•Lebanon, PA
•Wilkes-Barre, PA
•Wilmington, DE
PAUSE Trial
HSR&D IIR RCT
Frailty Screening followed
by Multidisciplinary Clinic
•Palo Alto, CA
•Houston, TX
•Nashville, TN
HSR&D IIR
Improving Surgical
Decision-Making by
Measuring and Predicting
Long-Term Loss of
Independence after
Surgery
GECDAC Partner
Residential History File
70