Introduction: Osteoporosis is highly prevalent in elective orthopedic surgery. While preoperative bone health optimization decreases osteoporosis-related complications, there is an unmet need to establish who may benefit from preoperative dual-energy x-ray absorptiometry (DXA). This study assesses a novel, simple screening protocol to identify orthopedic surgical patients for preoperative DXA. Materials/ Methods: This retrospective cohort study included 628 patients undergoing total knee, hip, or shoulder arthroplasty or thoracolumbar spine fusion. Inclusion criteria were ≥40 years undergoing primary elective surgery. Screening criteria defining who should obtain DXA due to high osteoporosis risk included: female ≥65, male ≥70, fracture history when ≥50 years, or FRAX major osteoporotic fracture risk (without bone mineral density [BMD]-adjustments) ≥8.4%. Osteoporosis was defined by World Health Organization criteria [T-score ≤ -2.5], clinical National Osteoporosis Foundation (NOF) criteria [T-score ≤ -2.5, elevated BMD-adjusted FRAX risk, or prior hip/spine fracture], and modified clinical criteria [NOF criteria simplified to include any non-traumatic prior fracture and FRAX without BMD]. Results: The study included 100 TKAs, 100 THAs, 251 TSAs, and 177 spine fusions, average age 65.6 ± 9.8. DXA was available for 209 patients. Screening criteria recommending DXA was met by 362 patients. For those with DXA, screening sensitivity was .96 (CI: .78 to .99) and specificity was .19 (CI: .14 to .25) for identifying T-score osteoporosis. Similar sensitivity of .99 (CI: .91 to .99) and specificity of .61 (CI: .56 to .66) were found for modified clinical osteoporosis. For modified clinical osteoporosis, 192 patients with osteoporosis met criteria (true pos.), 1 patient with osteoporosis did not meet criteria (false neg.), 170 patients without osteoporosis met criteria (false pos.), and 265 patients without osteoporosis did not meet criteria (true neg.). Discussion/ Conclusion: A simple screening protocol identifies orthopedic surgical candidates at risk of T-score or clinical osteoporosis for preoperative DXA with high sensitivity.
Introduction: Osteoporosis is highly prevalent in elective orthopedic surgery. While preoperative bone health optimization decreases osteoporosis-related complications, there is an unmet need to establish who may benefit from preoperative dual-energy x-ray absorptiometry (DXA). This study assesses a novel, simple screening protocol to identify orthopedic surgical patients for preoperative DXA. Materials/ Methods: This retrospective cohort study included 628 patients undergoing total knee, hip, or shoulder arthroplasty or thoracolumbar spine fusion. Inclusion criteria were ≥40 years undergoing primary elective surgery. Screening criteria defining who should obtain DXA due to high osteoporosis risk included: female ≥65, male ≥70, fracture history when ≥50 years, or FRAX major osteoporotic fracture risk (without bone mineral density [BMD]-adjustments) ≥8.4%. Osteoporosis was defined by World Health Organization criteria [T-score ≤ -2.5], clinical National Osteoporosis Foundation (NOF) criteria [T-score ≤ -2.5, elevated BMD-adjusted FRAX risk, or prior hip/spine fracture], and modified clinical criteria [NOF criteria simplified to include any non-traumatic prior fracture and FRAX without BMD]. Results: The study included 100 TKAs, 100 THAs, 251 TSAs, and 177 spine fusions, average age 65.6 ± 9.8. DXA was available for 209 patients. Screening criteria recommending DXA was met by 362 patients. For those with DXA, screening sensitivity was .96 (CI: .78 to .99) and specificity was .19 (CI: .14 to .25) for identifying T-score osteoporosis. Similar sensitivity of .99 (CI: .91 to .99) and specificity of .61 (CI: .56 to .66) were found for modified clinical osteoporosis. For modified clinical osteoporosis, 192 patients with osteoporosis met criteria (true pos.), 1 patient with osteoporosis did not meet criteria (false neg.), 170 patients without osteoporosis met criteria (false pos.), and 265 patients without osteoporosis did not meet criteria (true neg.). Discussion/ Conclusion: A simple screening protocol identifies orthopedic surgical candidates at risk of T-score or clinical osteoporosis for preoperative DXA with high sensitivity.
Keywords:
adult reconstructive surgery; bone health optimization; bone health screening; bone mineral density; fragility fractures; metabolic bone disorders; osteoporosis; spine surgery
Osteoporosis is highly prevalent in orthopedics and associated with poorer surgical
outcomes, yet bone health assessment has not been widely incorporated into preoperative
health optimization.[1,2] For example, Edwards et al.
recently identified ten medical conditions and lifestyle factors that should be assessed and
improved before total joint arthroplasty, ranging from morbid obesity to smoking to
preoperative anemia, but bone health was not considered.
This is not to say osteoporosis is not common in orthopedic patients. Up to 25% of
patients undergoing elective total joint arthroplasty meet the National Osteoporosis
Foundation criteria to receive pharmacologic osteoporosis treatment while 10% to 20% of
patients undergoing elective spine surgery meet World Health Organization (WHO) bone mineral
density (BMD) criteria for osteoporosis.[4-7] With an aging
population and 1.92 million total knee arthroplasty (TKA) and total hip arthroplasty (THA)
procedures projected in 2030, the individual and systemic healthcare consequences of
osteoporosis-related surgical complications will continue to grow.Osteoporotic bone is more vulnerable to iatrogenic fracture during surgical fixation and
manipulation, a consequence of its more brittle and less elastic mechanical properties.
Similarly, osteoporosis reduces screw fixation due to lower resistance to pullout,
while increasing the likelihood of implant subsidence.
Postoperatively, osteoporosis increases the risk of periprosthetic fracture—a
potentially catastrophic complication—along with aseptic loosening, the second most common
cause of revision in TKA and THA.[10-15] Overall, osteoporosis-related adverse
events are associated with prolonged hospitalization, decreased overall function, and higher
patient mortality.
Mitigation of these complications with anti-osteoporotic treatment appears to be
effective. For example, large registry reports show treatment of osteoporotic patients
undergoing arthroplasty with bisphosphonates the reduces revision surgery rate by 50%.Preoperative bone health optimization is the process of identifying patients at high risk
of poor bone health and, if warranted, treating these patients before surgery to reduce the
likelihood of related surgical complications, Figure 1. While several professional societies and
public health organizations have promoted guidelines to define which patients should have
bone density screening for primary preventative treatment of osteoporosis, it is still
performed in less than 25% of eligible patients for whom dual-energy x-ray absorptiometry
(DXA) is recommended.[18-20] Recently, the International Society for
Clinical Densitometry (ISCD) released updated position statements emphasizing the need for
expanded bone density testing before elective orthopedic surgery.
The goal is to identify patients who are likely osteoporotic so further risk
stratification and treatment can be performed. Ultimately, early identification could lead
to optimization of bone health preoperatively, thereby decreasing revision surgery, avoiding
periprosthetic bone loss, and decreasing subsidence.[22,23] Additionally, preoperative knowledge of a
patient’s poor bone health has been shown to guide a surgeon’s surgical planning, such as
the use of cemented over uncemented prosthesis.[2,24]
Figure 1.
This algorithm outlines the proposed preoperative bone health optimization
initiative, including criteria for DXA testing and how to apply results in surgical
planning.
This algorithm outlines the proposed preoperative bone health optimization
initiative, including criteria for DXA testing and how to apply results in surgical
planning.Current initiatives to assess bone health before elective surgery are based on opinion,
rather than evidence. The 2019 ISCD positions note that research is needed to identify how
to identify orthopedic patients who need BMD testing. Thus, the population which would
benefit from preoperative BMD remains unclear. At our tertiary referral center, a screening
protocol to determine which orthopedic surgical patients should undergo bone mineral density
testing has been developed. The protocol is based on ISCD and the United States Preventive
Services Task Force (USPSTF) recommendations for BMD testing then applied to the
preoperative assessment of orthopedic surgical patients.[21,25] This study’s objective is to determine
the sensitivity and specificity of our simple screening protocol to identify orthopedic
surgical patients at high risk of osteoporosis for preoperative DXA.
Methods
Subjects
A retrospective review of patients undergoing total shoulder arthroplasty (TSA), total
hip arthroplasty (THA), total knee arthroplasty (TKA), and thoracolumbar spine fusion
between January 1, 2011, to January 1, 2019, was performed. The study was granted an
exemption by the Institutional Review Board under 45 CFR 46.102(d). Inclusion criteria
were patients over age 40 undergoing primary elective surgery. Exclusion criteria were
patients with any traumatic or oncologic conditions (e.g., fracture or tumor) or revision
surgery. If a patient had multiple orthopedic procedures during the study period, only the
first surgery was included.Electronic medical records were reviewed for demographic information, preoperative
osteoporosis risk factors, and DXA data. DXA was available in 209 patients. The lumbar
spine, total proximal femur, femoral neck, and one-third distal radius T-scores were
recorded.
Fracture Risk Assessment Tool
The FRAX fracture risk assessment tool uses clinical risk factors (Figure 2) with or without femoral neck BMD to
calculate the 10-year probability of any major osteoporotic fracture [any fracture of the
spine, hip, humerus, and/or wrist] and hip fracture. The FRAX major osteoporotic fracture
10-year risk with and without BMD was calculated for all patients.
Figure 2.
This algorithm illustrates how the 628 subjects were categorized based on screening
indication and modified clinical osteoporosis criteria. In addition to age and
fracture history, the FRAX risk factors listed were used to calculate 10-year
fracture risk for screening determination.
This algorithm illustrates how the 628 subjects were categorized based on screening
indication and modified clinical osteoporosis criteria. In addition to age and
fracture history, the FRAX risk factors listed were used to calculate 10-year
fracture risk for screening determination.
Screening Protocol
The proposed screening protocol aimed to identify patients at high risk of osteoporosis
for BMD testing before surgery and was developed from the 2019 ISCD Official Positions
recommending bone health evaluation in orthopedic surgery and the 2018 USPSTF
recommendation for using FRAX in osteoporosis screening.[21,25] Meeting any one of the following four
criteria was an indication for BMD testing: female ≥65 years, male ≥70 years, history of
fracture when ≥50 years; or FRAX major osteoporotic fracture risk without BMD-adjustments
≥8.4%, Figure 1. The FRAX
threshold is based on the USPSTF recommendation for osteoporosis screening and reflects
the 10-year risk of major osteoporotic fracture in a 65-year-old female without other
clinical risk factors.[25,26]
Osteoporosis Classification
The bone health of each patient with DXA available was classified using WHO criteria.
Every patient both with and without DXA was also classified clinical osteoporosis and a
modified clinical osteoporosis criteria. The WHO osteoporosis classification is based on
T-score: ≥−1.0 = normal, <−1.0 and >−2.5 = osteopenia and ≤−2.5 = osteoporosis.
The clinical diagnosis of osteoporosis was based on the National Osteoporosis
Foundation (NOF) definition and include meeting any one of the following three conditions:
a lowest T-score ≤−2.5 at the hip, spine, or 1/3 radius; a T-score > −2.5 and <−1.0
at the hip or spine and a BMD-adjusted major osteoporotic fracture risk ≥20% or hip
fracture risk ≥3%; or a history of hip or spine fracture.
In cases without DXA available, the FRAX without BMD was utilized. A modified
clinical osteoporosis model developed for this study adjusting the NOF criteria to
include: T-score ≤−2.5 at the hip, spine, or 1/3 radius; a high FRAX risk with or without
BMD-adjustment (≥20% MOF or ≥3% hip fracture); or a history of any low-energy fracture
≥50 years (excluding fractures of the hands and feet).
Statistical Analysis
For each patient, meeting or not meeting screening criteria along with an osteoporotic or
non-osteoporotic classification determined true positives, false positives, true
negatives, and false negatives. Sensitivity and specificity were calculated based on the
WHO and clinical osteoporosis criteria. Demographic and comorbidity information was
analyzed by calculation of mean, standard deviation, and frequency for each surgical
group. Sensitivity and specificity 95% confidence intervals were calculated using
Clopper-Pearson criteria. Statistical analyses were performed using Microsoft Excel
(Redmond, WA). Receiver operator curve (ROC) analysis was performed to assess the optimal
FRAX threshold for sensitivity and specificity considerations using IBM SPSS Statistics
(Armonk, New York).
Results
Demographic Data and FRAX Risk Factors
A total of 628 patients including 177 spine fusion patients, 100 TKA patients, 100 THA
patients, and 251 TSA patients were evaluated. The mean age was 65.6 ± 9.8 years, and 339
patients (54%) were female, Supplemental Table 1.A history of spontaneous fracture or a fracture arising from low-energy trauma at age 50+
was reported in 89 patients (14%) while 10 patients (1.6%) reported a parental history of
hip fracture. Current smoking was present in 25 patients (4%) while an identical number
reported alcohol consumption of three or more drinks per day. Rheumatoid arthritis was
identified in 33 patients (5%) and 59 patients (9%) reported prior glucocorticoid (≥5 mg)
usage.
Bone Health Status
Using WHO T-score bone health criteria in the 209 patients with DXA: 23 (11%) patients
had osteoporosis, 104 (50%) had osteopenia, and 82 (39%) were classified as normal. Using
the clinical diagnosis criteria, applied to all 628 patients, 114 (18%) patients had
osteoporosis and 514 (82%) did not have osteoporosis. With the modified clinical
osteoporosis criteria, 192 (31%) patients had osteoporosis and 436 (69%) did not have
osteoporosis.The average T-score of the spine was .21 ± 1.89, total femur −.58 ± 1.20, femoral neck
−1.05 ± .97, and distal radius −.95 ± 1.31. The average lowest T-score was −1.23 ± 1.09.
The mean FRAX major osteoporotic fracture risk without BMD was 9.2% ± 6.7% and hip was
2.3% ± 3.0%. The mean FRAX major osteoporotic fracture risk with BMD was 12.1% ± 7.3% and
hip was 2.4% ± 3.2%.
Screening Sensitivity and Specificity
A total of 362 of the 628 patients met screening criteria indicating BMD testing was
indicated. Age criteria were met in 296 patients (199 female ≥65 years, 97 male
≥70 years), 89 had a historical fracture and 236 had high FRAX major osteoporotic fracture
risk without BMD. Two or more screening criteria were met in 206 patients, Supplemental Table 2.Using T-score criteria, the screening protocol to identify patients at high risk of
osteoporosis for preoperative DXA had a sensitivity of .96 (95% confidence interval [CI]:
.78-.99) and specificity of .19 (CI: .14-.25). With the clinical osteoporosis criteria,
the screening protocol had a sensitivity of .99 (CI: .95-1.00) and specificity of .52 (CI:
.48-.56). Finally, the modified clinical osteoporosis criteria resulted in a sensitivity
of .99 (CI: .97-.99) and specificity of .61 (CI: .56-.66), Figure 3, Table 1.
Figure 3.
Screening protocol sensitivity and specificity when evaluating for World Health
Organization T-score (n = 209), National Osteoporosis Foundation clinical
osteoporosis (n = 628), and modified clinical osteoporosis criteria (n = 628).
(*Error lines represent 95% confidence intervals as calculated by Clopper-Pearson
criteria.)
Table 1.
Screening Protocol 2 x 2 Contingency Table. Screening protocol contingency tables
evaluating for World Health Organization T-score, National Osteoporosis Foundation
clinical osteoporosis, and modified clinical osteoporosis criteria.
n = 209
World Health Organization
Osteoporosis (+)
Osteoporosis (−)
Screening (+)
22
150
Screening (−)
1
35
n = 628
National osteoporosis foundation
Osteoporosis (+)
Osteoporosis (−)
Screening (+)
117
245
Screening (−)
1
265
n = 628
Modified national osteoporosis foundation
Osteoporosis (+)
Osteoporosis (−)
Screening (+)
192
170
Screening (−)
1
265
Screening protocol sensitivity and specificity when evaluating for World Health
Organization T-score (n = 209), National Osteoporosis Foundation clinical
osteoporosis (n = 628), and modified clinical osteoporosis criteria (n = 628).
(*Error lines represent 95% confidence intervals as calculated by Clopper-Pearson
criteria.)Screening Protocol 2 x 2 Contingency Table. Screening protocol contingency tables
evaluating for World Health Organization T-score, National Osteoporosis Foundation
clinical osteoporosis, and modified clinical osteoporosis criteria.There were 170 false-positive screenings with the modified clinical osteoporosis
criteria, 145 meeting age criteria, 83 having high FRAX risk, and 58 meeting multiple
criteria. Alternately, there were 192 true-positive screenings when evaluating for
modified clinical osteoporosis, 151 due to age criteria, 89 having a history of fracture
≥50 years, 153 having high FRAX risk, and 148 meeting multiple criteria.ROC analysis revealed using a higher FRAX threshold of 13.5% would raise the specificity
to .65 (CI: .61-.70) while also maintaining a sensitivity of .98 (CI: .96-1.00) when
evaluating for the modified clinical diagnosis of osteoporosis (AUC = .937).
Discussion
Preoperative bone health optimization is an evolving concept in orthopedic surgery. Its
fundamental goal is to improve outcomes, reduce costs, and avoid complications. The first
steps in this process are screening patients for poor bone health, evaluating patients for
potential diagnosis, and if warranted, treating the underlying condition before surgery. In
this study, bone health screening to determine if further DXA testing was appropriate used
the simple criteria of age, sex, fracture history, and fracture risk as predicted by FRAX
without BMD. With these basic criteria, the screening protocol identified almost all
osteoporotic patients for further bone health testing with a sensitivity approaching
1.0.The ISCD recommends preoperative bone health assessment consideration for all patients
before elective orthopedic and spine surgery as osteoporosis is common and associated with
negative surgical outcomes. Osteoporosis is prevalent in 8% to 31% of THA and TKA patients
and 9% to 51% of patients undergoing elective spinal surgery.[21,28-32] In total joint arthroplasty, osteoporosis
is associated with the inability to achieve optimal stem positioning, increased implant
migration, implant loosening, and increased periprosthetic fracture risk.[33,34] In spinal fusion, Bjerke et al. found
periprosthetic fractures and screw loosening occurred in 50% of osteoporotic patients
compared to 18% of patients with normal BMD.Considering how prevalent and impactful osteoporosis is in orthopedic surgery, a simple and
effective screening tool to preoperatively identify patients at high risk of osteoporosis
for BMD testing can be expected to yield meaningful benefits.
Identifying osteoporosis before surgery may lead to increased pharmacologic
intervention, which improves bone quality, reduces surgical complications, and improves
outcomes in arthroplasty and spine surgery.[35,36] The use of bisphosphonates after THA and
TKA lowers revision rates by half and helps maintain femur BMD while in spine fusion
patients it improves fusion and clinical outcomes.[35-37] Preoperative osteoporosis diagnosis may lead surgeons to delay surgery
to pharmacologically improve bone health or influence decision making, such as the choice of
implant type or use of cement.[2,24] Likewise,
knowledge of underlying bone disease may modify postoperative care to include osteoporosis
management.Several criteria were used to diagnosis osteoporosis. The WHO T-score is widely accepted
but has poor sensitivity as less than half of patients having fragility fractures are osteoporotic.
The clinical diagnosis of osteoporosis is an improvement by including fracture
history, and fracture risk. However, this includes only hip and spine fractures.
A modified version of the clinical osteoporosis criteria was developed in this study
to create a more functional and clinically applicable definition that an orthopedic provider
could use to assess a patient’s bone health without the need for BMD. In the modified
clinical criteria, a high FRAX with or without BMD is sufficient for osteoporosis diagnosis.
Additionally, the modified clinical criteria included all fracture history after age 50, an
expansion from the clinical definition which is fracture history specific to the hip or
spine. The rationale for this modification was two-fold. First, orthopedic surgeons manage a
wide variety of fractures rather than just fractures of the hip or spine. Second, while most
osteoporosis research and pharmaceutical trials are exclusive to hip and spine fractures,
other fractures such as the distal radius, femur, and ulna predict refracture risk similar
to fractures of the hip and spine.[39,40] A 2019
report on osteoporosis in Medicare beneficiaries found 19% of patients with osteoporotic hip
fracture and 15% with osteoporotic spine fracture had subsequent refracture or new fracture
within 12 months, a proportion similar to those with fracture of the distal femur (18%),
radius/ulna (17%), and distal radius/ulna (14%).This study and its proposed screening protocol have several important strengths. The study
included patients seeking spine, knee, hip, and shoulder surgery, the majority of elective
orthopedic surgery cases, with minimal exclusion criteria, allowing a more representative
evaluation of a true cross-section of all orthopedic patients. Additionally, the proposed
screening protocol to determine if DXA is indicated can be performed in any orthopedic
practice without extra imaging, radiation exposure, or additional cost. Most significantly,
the screening protocol is largely straightforward, using only basic patient information and
an established fracture risk assessment tool, FRAX, to stratify patients for DXA.The proposed screening protocol is just the first step in the broader bone health
optimization initiative. While the screening protocol in this study attempts to fill the
crucial and unmet need to identify high-risk patients for preoperative DXA, what exactly
needs to be done to best address the bone health of identified osteoporotic patients is the
bulk effort of preoperative bone health optimization.The screening protocol used in this study had a specificity ranging from 50-60% when using
clinical criteria. The false-positive screenings—patients without osteoporosis who still met
screening protocol criteria—occurred largely due to older age and high FRAX major
osteoporotic fracture risk without BMD. While the screening protocol’s age threshold and
FRAX major osteoporotic fracture risk without BMD threshold of ≥8.4% were adopted from the
latest ISCD and USPSTF DXA testing recommendations, adjustments to these criteria to
increase the screening protocol’s specificity are a potential area of future
research.[21,25] Analysis performed in
this study suggests a FRAX major osteoporotic fracture risk 13.5% improve specificity while
maintaining a high sensitivity. However, it should be emphasized the primary goal of this
study was to determine if a simple screening protocol could identify patients at high risk
of osteoporosis for preoperative DXA. Therefore, in our opinion, prioritizing high
sensitivity—positively screening patients who indeed have osteoporosis—over specificity, is
warranted to establish the first steps in developing an effective bone health screening
protocol.This retrospective study has several limitations. First, the patient population was
primarily Caucasian and included a portion of patients with previous DXA scanning, both
potential sources of selection bias. While some of patients in this study had a previous
clinical indication for DXA, the observed distribution of T-score osteoporosis, osteopenia,
and normal bone density is very similar to the rates established by many other studies of
osteoporosis in the orthopedic patient population.[21,28-32] A prospective study in which DXA is
obtained for all study participants, regardless of clinical indication, is warranted to
remove this bias. Additionally, the lack of available DXA restricted the application of
T-score osteoporosis criteria. However, the modified clinical osteoporosis definition was
not affected by this lack of DXA. Finally, the study’s patient population only included
patients seeking primary elective surgery and excluded revision surgery. Future research
studying this screening protocol’s efficacy within the revision orthopedic surgery
population would help expand this preoperative tool to target those surgical patients who
will likely most benefit from bone health optimization.In conclusion, this study finds a simple screening protocol identifies orthopedic surgical
candidates at risk of T-score or clinical osteoporosis who may benefit from preoperative DXA
with high sensitivity.Click here for additional data file.Supplemental Material for A Novel Osteoporosis Screening Protocol to Identify Orthopedic
Surgery Patients for Preoperative Bone Health Optimization by Elliot Chang, Brian Nickel,
Neil Binkley, James Bernatz, Diane Krueger, Alec Winzenried, and Paul A. Anderson in
Geriatric Orthopaedic Surgery & Rehabilitation
Authors: Rafael A Buerba; Akshay Sharma; Chason Ziino; Alexander Arzeno; Remi M Ajiboye Journal: Spine (Phila Pa 1976) Date: 2018-09-01 Impact factor: 3.468
Authors: Mohit Bhandari; Sohail Bajammal; Gordon H Guyatt; Lauren Griffith; Jason W Busse; Holger Schünemann; Thomas A Einhorn Journal: J Bone Joint Surg Am Date: 2005-02 Impact factor: 5.284
Authors: James T Bernatz; Andrew E Brooks; Matthew W Squire; Richard I Illgen; Neil C Binkley; Paul A Anderson Journal: J Arthroplasty Date: 2019-03-28 Impact factor: 4.757