Attributable costs (adjusted mean differences) are presented for incident delirium (A) (delirium vs no delirium) and for delirium severity (B) (severe vs none-mild severity groups) through 1 year after surgery. The excess cumulative costs attributable to incident delirium are $44 291 (95% CI, $34 554-$56 673). The excess cumulative costs attributable to severe delirium are $56 474 (95% CI, $40 927-$77 440). The shaded area represents 95% CI.
eFigure 1. Flow Diagram for Study Enrollment
eFigure 2. Cost Calculations: One-Year Health Care Costs Attributable to Postoperative Delirium in Older Elective Surgery Patients (2019 USD)
eTable 1. Characteristics of Patients Included vs Excluded From the Analysis
eTable 2. Unadjusted Health Care Costs Per Patient Associated With Incident Delirium
eTable 3. Unadjusted Health Care Costs Per Patient Associated With Delirium Severity
eTable 4. Adjusted Health Care Costs Per Patient by Category Associated With Incident Delirium
eTable 5. Adjusted Health Care Costs Per Patient Associated With Incident Delirium, Cox Regression Analysis
eTable 6. Adjusted Health Care Costs (Including Part B, Hospice, and DME Costs) Per Patient
eTable 7. Generalized Linear Model (GLM) Estimates for Health Care Cost Outcomes Associated With Incident Delirium (N = 497)
eTable 8. Generalized Linear Model (GLM) Estimates for Health Care Cost Outcomes Associated With Delirium Severity (N = 497)
eTable 9. Generalized Linear Model (GLM) Estimates for Inpatient Cost Outcomes Associated With Incident Delirium (N = 497)
eTable 10. Two-Part Model Estimates for Postacute Rehabilitation Facility Cost Outcomes Associated With Incident Delirium (N = 497)
eTable 11. Two-Part Model Estimates for Outpatient Cost Outcomes Associated With Incident Delirium (N = 497)
eTable 12. Two-Part Model Estimates for Home Health Cost Outcomes
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Gou RY, Hshieh TT, Marcantonio ER, et al. One-Year Medicare Costs Associated With Delirium in Older Patients Undergoing Major Elective Surgery. JAMA Surg. 2021;156(5):430–442. doi:10.1001/jamasurg.2020.7260
What Medicare costs are attributable to delirium after elective surgery each year?
In this cohort study of 497 older adults undergoing major elective surgery, the cumulative costs attributable to delirium were $44 291 per patient over 1 year. The adjusted mean cumulative costs attributable to severe delirium were $56 474 per patient over 1 year.
Results suggest that incident delirium and severe delirium after elective surgery are associated with a high cost to the health care system, with substantial public health implications that warrant renewed efforts to bolster prevention, early detection, and management of delirium.
Delirium is a common, serious, and potentially preventable problem for older adults, associated with adverse outcomes. Coupled with its preventable nature, these adverse sequelae make delirium a significant public health concern; understanding its economic costs is important for policy makers and health care leaders to prioritize care.
To evaluate current 1-year health care costs attributable to postoperative delirium in older patients undergoing elective surgery.
Design, Setting, and Participants
This prospective cohort study included 497 patients from the Successful Aging after Elective Surgery (SAGES) study, an ongoing cohort study of older adults undergoing major elective surgery. Patients were enrolled from June 18, 2010, to August 8, 2013. Eligible patients were 70 years or older, English-speaking, able to communicate verbally, and scheduled to undergo major surgery at 1 of 2 Harvard-affiliated hospitals with an anticipated length of stay of at least 3 days. Eligible surgical procedures included total hip or knee replacement; lumbar, cervical, or sacral laminectomy; lower extremity arterial bypass surgery; open abdominal aortic aneurysm repair; and open or laparoscopic colectomy. Data were analyzed from October 15, 2019, to September 15, 2020.
Major elective surgery and hospitalization.
Main Outcomes and Measures
Cumulative and period-specific costs (index hospitalization, 30-day, 90-day, and 1-year follow-up) were examined using Medicare claims and extensive clinical data. Total inflation-adjusted health care costs were determined using data from Medicare administrative claims files for the 2010 to 2014 period. Delirium was rated using the Confusion Assessment Method. We also examined whether increasing delirium severity was associated with higher cumulative and period-specific costs. Delirium severity was measured with the Confusion Assessment Method–Severity long form. Regression models were used to determine costs associated with delirium after adjusting for patient demographic and clinical characteristics.
Of the 566 patients who were eligible for the study, a total of 497 patients (mean [SD] age, 76.8 [5.1] years; 281 women [57%]; 461 White participants [93%]) were enrolled after exclusion criteria were applied. During the index hospitalization, 122 patients (25%) developed postoperative delirium, whereas 375 (75%) did not. Patients with delirium had significantly higher unadjusted health care costs than patients without delirium (mean [SD] cost, $146 358 [$140 469] vs $94 609 [$80 648]). After adjusting for relevant confounders, the cumulative health care costs attributable to delirium were $44 291 (95% CI, $34 554-$56 673) per patient per year, with the majority of costs coming from the first 90 days: index hospitalization ($20 327), subsequent rehospitalizations ($27 797), and postacute rehabilitation stays ($2803). Health care costs increased directly and significantly with level of delirium severity (none-mild, $83 534; moderate, $99 756; severe, $140 008), suggesting an exposure-response relationship. The adjusted mean cumulative costs attributable to severe delirium were $56 474 (95% CI, $40 927-$77 440) per patient per year. Extrapolating nationally, the health care costs attributable to postoperative delirium were estimated at $32.9 billion (95% CI, $25.7 billion-$42.2 billion) per year.
Conclusions and Relevance
These findings suggest that the economic outcomes of delirium and severe delirium after elective surgery are substantial, rivaling costs associated with cardiovascular disease and diabetes. These results highlight the need for policy imperatives to address delirium as a large-scale public health issue.
Delirium is a common, serious clinical problem for older adults, often complicating major surgery.1 Delirium has been associated with poor hospital outcomes, including prolonged hospital stay, functional and cognitive decline, institutionalization, and death.2,3 With robust evidence documenting the effectiveness of prevention by multicomponent nonpharmacologic strategies,4,5 incident delirium is currently used as a quality marker for hospital care. Accumulating evidence also links postoperative delirium to adverse long-term outcomes, including accelerated cognitive decline and dementia.6,7 With these many adverse sequelae, delirium has emerged as a significant public health concern.8-10
There is a substantial gap in knowledge about the current costs of delirium for our health care system. Such knowledge is essential to guide policy makers and health care leaders in decision-making and prioritization surrounding delirium care.11 The most widely cited cost estimates for delirium of $16 303 to $64 421 per patient per year were derived from a controlled clinical trial of a delirium prevention model using Medicare claims data from 1995 to 1999.12 Three more recent prospective studies have examined health care costs associated with delirium. One study of 479 patients in the intensive care unit (ICU) estimated cumulative 30-day costs attributable to ICU delirium at $17 838 per patient; however, this likely represents an underestimate given the substantial rate of early mortality in these patients.13 A second study of 66 patients who had cardiac surgery analyzed the differences in median length of hospital stay, leading to a nonsignificant $10 000 adjusted cost difference between patients with and without delirium.14 A third prospective study in 500 patients who had elective surgery found differences of approximately $2000 per patient in health care costs related to delirium.15 All other prior studies examining costs of delirium have involved retrospective analyses or simulation studies.16
Updated cost estimates are urgently needed to assist leaders of health care organizations to motivate investing scarce resources into programs to address delirium. Accurate cost estimates are needed by funders and health systems to develop incentives and strategies to improve processes and quality of care for older adults and to track improvements over time. Thus, we undertook this study to examine 1-year cost estimates attributable to postoperative delirium derived from an ongoing prospective cohort of older patients having elective surgery, using Medicare claims and clinical data. Our specific aims were to evaluate total health care costs associated with incident postoperative delirium during the index hospitalization and at 30-day, 90-day, and 1-year follow-up in a prospective cohort of 497 patients undergoing elective major surgery, with careful adjustment for relevant confounders. We examined both cumulative and period-specific costs and hypothesized that incident delirium and increasing delirium severity would be associated with higher costs.
The Successful Aging after Elective Surgery (SAGES) study is an ongoing prospective cohort study of older adults undergoing major elective surgery. The study design and methods have been described previously.17,18 In brief, eligible participants were 70 years or older, English-speaking, able to communicate verbally, and scheduled to undergo major surgery at 1 of 2 Harvard-affiliated hospitals with an anticipated length of stay of at least 3 days. Eligible surgical procedures were total hip or knee replacement; lumbar, cervical, or sacral laminectomy; lower extremity arterial bypass surgery; open abdominal aortic aneurysm repair; and open or laparoscopic colectomy. Exclusion criteria included evidence of dementia, delirium, prior hospitalization within 3 months, legal blindness, severe deafness, terminal condition, history of schizophrenia or psychosis, and history of alcohol abuse or withdrawal. A total of 566 patients met eligibility criteria and were enrolled between June 18, 2010, and August 8, 2013. Six patients were excluded after enrollment for suspected dementia after neuropsychological testing and clinical adjudication. An additional 63 (11%) were excluded from the present analyses due to missing data: 33 (6%) because their Social Security numbers were unavailable to provide linkage to the Medicare database, and 30 (5%) because cost data were not available owing to enrollment in a Medicare managed care plan. Thus, the final sample was 497 participants (eFigure 1 in the Supplement). Written informed consent for study participation was obtained from all participants according to procedures approved by the institutional review boards of the 2 Harvard hospitals and Hebrew SeniorLife, the study coordinating center in Boston, Massachusetts. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
Participants were interviewed at baseline in their homes within 30 days (median [interquartile range], 9 [5-17] days) before their scheduled surgery for detailed demographic characteristics, cognitive functioning using the Modified Mini-Mental State Examination,19 and assessments of basic and instrumental activities of daily living20,21 before surgery. During hospitalization, participants were interviewed daily with cognitive and delirium assessments from the first postoperative day through discharge. A family caregiver was interviewed at baseline about the participant’s functional status using the proxy Informant Questionnaire on Cognitive Decline in the Elderly,22,23 a validated assessment for dementia based on proxy-reported cognitive changes over 10 years. Medical record review for the index hospitalization was conducted by a trained research physician to extract information on medical diagnoses, comorbidities, and surgical type.
Our total cost calculations were derived from Medicare Part A and B administrative claims, including Medicare Provider Analysis and Review (MEDPAR), Outpatient (fee-for-service), and Home Health Agency (fee-for-service) files, acquired for the 2010 to 2014 period. MEDPAR data detail inpatient hospital and skilled postacute rehabilitation stays covered by Medicare. Outpatient data comprise fee-for-service claims billed by institutional outpatient health care workers. Home Health Agency data include services covered by Medicare Home Health Agency health care workers. We derived further costs from the Cost and Utilization segment of the Master Beneficiary Summary File, which included summarized annual payments for services such as professional fees, hospice, and durable medical equipment.24 These latter costs were added separately in sensitivity analyses (eMethods in the Supplement).
Daily delirium assessment included brief cognitive testing,17,25 a Delirium Symptom Interview,26 and interviews with family and nurses. Delirium was rated using the Confusion Assessment Method (CAM),27 a standardized approach with high sensitivity (94%-100%) and specificity (90%-95%).28,29 Combined with a validated chart review method,30,31 patients were classified as having developed delirium if either CAM or chart criteria were met on a given day. Delirium severity was measured with the CAM-Severity (CAM-S) score long form (scored 0-19; 19 = most severe).32 The highest value of CAM-S during hospitalization, peak CAM-S, was used as the measure of delirium severity for these analyses, categorized into 3 severity groups: none-mild (0-2 points), moderate (3-7 points), and severe (8-19 points), based on prior work.6
Costs were measured from the perspective of the health care system. Cumulative total health care costs were calculated for the index hospitalization and for 30 days, 90 days, and 1 year after discharge. Total costs incurred during the index hospitalization were determined from MEDPAR data. The 30-day, 90-day, and 1-year costs were derived from MEDPAR (inpatient and postacute rehabilitation stays), outpatient, and home health services files. Period-specific costs were computed for intervals between discharge and 30 days, 30 days and 90 days, and 90 days and 1 year. Cumulative and period-specific costs were calculated for individual health care cost categories, including inpatient, postacute rehabilitation facility, outpatient, and home health care.12 Costs were calculated using Medicare reimbursed amounts rather than charges, because reimbursed amounts represent the actual payments received by hospitals and clinicians and are considered better measures of transaction prices than billed charges.12 All costs are reported in 2019 US dollars, adjusting for inflation using the medical care component of the Consumer Price Index.33
Statistical analyses were conducted from October 15, 2019, to September 15, 2020. For baseline characteristics, standard statistics were used to compare delirium and nondelirium groups, including analysis of variance test for continuous variables and χ2 test for categorical variables. We also used standard statistics to compare the delirium and nondelirium groups on hospital factors, including length of stay, and rates and duration of ICU stay. For the cost analyses, we compared unadjusted mean total costs between delirium and nondelirium groups using the Wilcoxon test. For the 3 delirium severity groups, we compared unadjusted mean costs using the Kruskal-Wallis test. We then used generalized linear models to examine our cost data, which displayed substantial skewness in their distributions with error terms exhibiting heteroscedasticity.34 To account for skewness, adjusted mean total costs were estimated with generalized linear models assuming γ-distributed costs and a log link function.35 All covariables were mean-centered. Model estimated cumulative adjusted mean total costs from index hospitalization through discharge were first computed cumulatively, then similarly computed for each time period. The excess cumulative costs attributable to incident delirium and delirium severity were calculated as mean cost differences from the adjusted models with 95% CIs derived from standard error estimates.
With complete data collection and follow-up, there were no missing data on any of the outcomes or covariables used in the models. We used SAS, version 9.4 (SAS Institute) for processing the Medicare data files and Stata, version 15 (StataCorp LLC) for all statistical analyses. All P values were 2 sided, and P < .05 was used to indicate statistical significance. Detailed description of the selection of covariables, 2-part models for analysis health care cost categories, and details of sensitivity analyses are provided in the eMethods in the Supplement.
Of the 566 patients who were eligible for the study, a total of 497 patients (mean [SD] age, 76.8 [5.1] years; 281 women [57%]; 461 White participants [93%]) were enrolled after exclusion criteria were applied. Baseline characteristics are presented in Table 1. We compared the excluded sample (n = 63) to the final sample (n = 497) and found them to be similar (eTable 1 in the Supplement). Among the 497 SAGES participants, delirium developed in 122 (25%) during hospitalization. The patients who developed delirium were significantly more medically complex (55 of 122 [45%] vs 95 of 375 [25%] with a Charlson score37 ≥2; P < .001), were more cognitively impaired at baseline (12 of 122 [10%] vs 15 of 375 [4%] with proxy Informant Questionnaire for Cognitive Decline in the Elderly score >3.5; P = .01), and were higher health care users in the prior 6 months (mean [SD] total costs, $8880 [$25 168] vs $3959 [$10 181]; P = .002). Only 1 patient with and 6 patients without delirium died during 1-year follow-up, with no significant differences in survival rate or time.
Adjusted cumulative health care costs per patient were significantly higher for those who developed incident delirium compared with those who did not at all time points (mean costs at 30 days after discharge, $99 676 [95% CI, $85 577-$116 097] vs $71 599 [95% CI, $62 223-$82 387]; at 90 days after discharge, $108 978 [95% CI, $90 596-$131 091] vs $74 644 [95% CI, $63 096-$88 306]; and at 1 year after discharge, $130 816 [95% CI, $105 676-$161 937] vs $86 525 [95% CI, $71 122-$105 264]) (Table 2). At 1-year follow-up, patients who developed delirium accumulated an adjusted mean $44 291 (P < .001) more health care costs compared with those without delirium. Period-specific costs were also significantly higher in all periods for patients with delirium vs those without (mean cost for discharge to 30 days, $13 526 [95% CI, $8767-$20 870] vs $7600 [95% CI, $5007-$11 537]; for 30-90 days, $7351 [95% CI, $2262-$23 887] vs $2467 [95% CI, $904-$6737]; and for 90 days to 1 year, $22 636 [95% CI, $11 240-$45 589] vs $11 780 [95% CI, $6032-$23 005]). The adjusted mean differences were highest for the index hospitalization costs (adjusted mean difference = $20 327; P < .001) and relatively lower for the discharge to 30-day costs ($5926; P = .001), 30- to 90-day costs ($4884; P = .01), and 90-day to 1-year costs ($10 856; P = .01). Thus, patients with delirium consistently cost more to the health care system with significantly higher costs in all time periods. The unadjusted analyses for costs of incident delirium appear in eTable 2 in the Supplement.
When stratified by delirium severity, mean adjusted health care costs increased directly with degree of severity (Table 3) from none to mild delirium (peak CAM-S score 0-2) to moderate delirium (peak CAM-S score 3-7) and to severe delirium (peak CAM-S score 8-19). Cumulative total costs demonstrated significant increases across the severity groups, with the largest cost differences at 1 year following surgery (adjusted mean costs for groups with none to mild delirium were $83 534 [95% CI, $67 300-$103 683]; for moderate delirium, $99 756 [95% CI, $81 683-$121 829]; and for severe delirium, $140 008 [95% CI, $108 227-$181 123]; P < .001). For period-specific costs, significant increasing mean costs were demonstrated across delirium severity groupings for index hospitalization (none-mild, $62 608 [95% CI, $54 003-$72 584]; moderate, $66 255 [95% CI, $57 746-$76 017]; and severe, $90 700 [95% CI, $75 772-$108 570]; P < .001). Although values increased across delirium severity groupings for other time periods, results were generally not statistically significant. The unadjusted analyses for costs of delirium stratified by severity appear in eTable 3 in the Supplement.
Attributable costs (adjusted mean differences) are presented in the Figure for incident delirium and for delirium severity (severe vs none-mild severity groups) for 1 year after surgery. The excess cumulative costs attributable to delirium were $44 291 (95% CI, $34 554-$56 673) for incident delirium and $56 474 (95% CI, $40 927-$77 440) for severe delirium over 1 year. Extrapolating nationally, the health care costs attributable to postoperative delirium were estimated at $32.9 billion (95% CI, $25.7 billion-$42.2 billion) per year.38-40
We examined categories of health care costs to determine their relative contributions to the increased total health care costs in patients with delirium (eTable 4 in the Supplement). For patients who developed delirium, adjusted mean differences in cumulative costs at 1 year were highest for inpatient costs ($36 404; P < .001) with approximately half of these costs due to the initial index hospitalization, where patients with delirium had longer lengths of stay (mean [SD] days, 6.9 [5.6] vs 4.8 [2.2]; P < .001), higher rates of ICU stay (19 of 122 [16%] vs 15 of 375 [4%]; P < .001), and longer ICU duration (1.3 [5.5] vs 0.1 [0.9] days; P < .001) compared with patients without delirium. The next highest cost category at 1 year after discharge was for postacute rehabilitation facility stays (mean difference, $4986; P = .02). Adjusted mean differences in outpatient and home health care costs were small and not statistically significant. During 1-year follow-up, patients in the delirium group (n = 122) compared with the nondelirium group (n = 375) had significantly more rehospitalizations (65 of 122 [53%] vs 116 of 375 [31%]; P < .001) and postacute rehabilitation stays (64 of 122 [52%] vs 135 of 375 [36%]; P = .001). Moreover, in the period from 90 days to 1 year, the rates of rehospitalization (34 of 122 [28%] vs 67 of 375 [18%]; P = .02) and postacute rehabilitation stays (15 of 122 [12%] vs 18 of 375 [5%]; P = .04) remained significantly higher in the delirium group. To adjust for survival time, we performed sensitivity analysis using Cox regression models (eTable 5 in the Supplement). We also conducted sensitivity analyses adding in prorated Part B hospice and durable medical equipment costs (eTable 6 in the Supplement). The results and conclusions remained unchanged across these sensitivity analyses. The details of the generalized linear regression models for all analyses appear in eTable 7 in the Supplement (incident delirium), eTable 8 in the Supplement (delirium severity), and eTables 9 to 12 in the Supplement (individual models for cost categories).
Results of this study suggest that delirium after elective surgery was associated with significant increases in cumulative health care costs from hospital admission through 1 year follow-up. The adjusted cumulative costs attributable to delirium originated from the index hospitalization, subsequent rehospitalizations, and postacute rehabilitation stays. Increases in health care costs were directly and significantly associated with delirium severity, supporting an exposure-response relationship. Because the presence and severity of delirium have been directly associated with adverse clinical outcomes in our prior work,32,41 it is not surprising that they may be contributing to increased health care costs.
Following Leslie et al,12 and assuming that incident delirium complicates hospital stays for 25% of the 3 million older adults hospitalized for elective surgery each year in the US, our results suggest that total direct 1-year health care costs attributable to postoperative delirium were approximately $32.9 billion (95% CI, $25.7-$42.2 billion) per year extrapolating nationally (eFigure 2 in the Supplement).38-40 By comparison, estimates of US health care costs for other conditions range from $6 billion for hip fracture42 to $34 billion for nonfatal falls,43 $248 billion for diabetes,44 and $357 to $363 billion for cardiovascular disease.45 Thus, postoperative delirium appears to be a major contributor to health care costs, rivaling other well-recognized conditions for which more resources are routinely directed. Given the documented effectiveness of delirium prevention strategies,5 some of these costs may be avoidable.
Because delirium is associated with many adverse short-term and long-term outcomes, the substantial contributions to health care costs are not surprising. However, the exact mechanisms leading to these increased costs warrant further investigation. Our results suggest that delirium was associated with an increase in the acuity and duration of hospitalization, resulting in increased costs from greater daily expenditures, ICU stays, longer lengths of stay, and higher rates of rehospitalization and institutionalization.
This study has a number of noteworthy strengths, including rigorous longitudinal follow-up over 1 year with detailed clinical information and comprehensive service use and cost data. We used standardized, validated delirium assessments daily throughout hospitalization. The study examined costs associated with delirium across a wide range of services (inpatient, emergency department, outpatient, postacute rehabilitation stay, home health care, etc) over a full year after hospital discharge. With complete follow-up, there were no missing data on any key study outcomes or covariables.
This study has some limitations. First, our costs reflected those incurred by an older elective surgical population with hospitalization and may not reflect the entire older surgical population. Second, medications and polypharmacy are well-known risk factors for delirium in the hospital, but we did not have medication cost data. Exploring mediating factors leading to the association of delirium with high costs will be an important area for future research. Third, cost estimates were derived from 2 medical centers in a single city, and thus the results may not generalize to other sites. This particular caveat may be less of a concern, because our findings were based on mean differences in costs between patients with and without delirium rather than absolute costs. Similarly, our cohort was made up of mostly White patients who were English-speaking, well-educated, and residing close to the urban Boston area. As such, additional studies are needed in the future with more heterogeneous health care systems and diverse participants to further corroborate our findings. Comparable with other studies based on Medicare data, approximately 11% of our cohort participated in Medicare managed care plans, and their costs were not available. The group of excluded patients was similar in baseline characteristics to the included group. In addition, the cost estimates include direct health care costs only and do not consider important indirect costs which may be substantial, such as out-of-pocket expenses, job or productivity losses for the patient or family members, informal caregiving costs, caregiver burden, and reduced quality of life. This study was a prospective cohort and not a randomized clinical trial; thus, we were unable to calculate the cost savings per case of delirium prevented. We examined an elective surgery cohort that does not include patients with coronavirus disease 2019 or those receiving emergency surgical, general medical, or palliative care, all of whom would have had higher illness severity and more costly care. Our elective surgery population also underwent careful evaluation and documentation of delirium, which is not routinely done across all hospitals and thus likely underestimates the true costs of delirium and severe delirium actually present throughout the US. For these reasons, our estimates are likely to be conservative, and the overall health care costs per year attributable to delirium are likely to be higher than reflected in our results.
This cohort study found that the economic outcomes of delirium and severe delirium after elective surgery were substantial, rivaling costs associated with those of cardiovascular disease and diabetes. These results suggest the need for policy imperatives to address delirium as a large-scale public health issue. It is our hope that these results on the high cost of postoperative delirium will drive much-needed attention to address this problem and, ultimately, to reduce its long-term clinical and economic implications. We hope to encourage health care leaders and policy makers to invest resources to address this critically important area, especially in this era of bundled health insurance payments. Future research is needed to determine whether delirium prevention programs, such as the cost-effective Hospital Elder Life Program,4 would be successful in reducing these delirium-related costs on a wide scale. Given that the condition is increasing in magnitude with the aging population worldwide, renewed efforts to prevent, detect, and manage delirium are urgently needed.
Accepted for Publication: December 9, 2020.
Published Online: February 24, 2021. doi:10.1001/jamasurg.2020.7260
Corresponding Authors: Tammy T. Hshieh, MD, MPH, Division of Aging, Department of Medicine, Brigham and Women’s Hospital, 1620 Tremont St, 3rd Floor, One Brigham Circle, Boston, MA 02120 (firstname.lastname@example.org).
Author Contributions: Ms Gou and Dr Hshieh had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Ms Gou and Dr Hshieh contributed equally as co–first authors. Drs Leslie and Inouye contributed equally as co–senior authors.
Concept and design: Gou, Hshieh, Marcantonio, Jones, Travison, Earp, Inouye.
Acquisition, analysis, or interpretation of data: Gou, Hshieh, Marcantonio, Cooper, Jones, Travison, Fong, Abdeen, Lange, Schmitt, Leslie, Inouye.
Drafting of the manuscript: Gou, Hshieh, Jones, Fong, Inouye.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Gou, Hshieh, Leslie, Inouye.
Obtained funding: Marcantonio, Travison, Inouye.
Administrative, technical, or material support: Gou, Marcantonio, Abdeen, Lange, Schmitt, Inouye.
Supervision: Hshieh, Marcantonio, Travison, Earp, Schmitt, Inouye.
Conflict of Interest Disclosures: Dr Lange reported receiving royalties/honorarium from OnPoint Knee for serving on their scientific advisory board and serving as committee member for the American Association of Hip and Knee Surgeons outside the submitted work. Dr Earp reported receiving stock ownership from Johnson and Johnson and stock ownership from Pfizer outside the submitted work. Dr Leslie reported receiving grants from the National Institutes of Health during the conduct of the study. No other disclosures were reported.
Funding/Support: This study was supported in part by grants from the National Institute on Aging grant nos. P01AG031720 (SKI), R24AG054259 (SKI), R01AG044518 (SKI/RNJ). Dr Marcantonio’s time was supported in part by grant nos. K24AG035075 (ERM) and R01AG030618; Dr Fong’s time in part by R21AG057955 (TGF). Dr Inouye holds the Milton and Shirley F. Levy Family Chair at Hebrew SeniorLife/Harvard Medical School.
Role of the Funder/Sponsor: The funders provided funding support for the design and conduct of the study and collection and management of the data. They did not contribute to analysis and interpretation of data or the preparation, review, or approval of the manuscript.
SAGES Study Group: (Presented in alphabetical order; individuals listed may be part of multiple groups, but are listed only once under major activity, listed in parentheses). Overall Principal Investigator: Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School: Sharon K. Inouye, MD, MPH (Overall PI, Administrative Core, Project 1). Project and Core Leaders: Beth Israel Deaconess Medical Center, Harvard Medical School: David Alsop, PhD (Project 3) and Bradford Dickerson, MD (Project 3); Brown University: Richard Jones, ScD (Data Core, Project 4); Hebrew SeniorLife, Harvard Medical School: Thomas Travison, PhD (Data Core); Beth Israel Deaconess Medical Center, Harvard Medical School: Edward R. Marcantonio, MD, SM (Overall Co-PI, Epidemiology Core, Project 2); Harvard Medical School, Beth Israel Deaconess Medical Center: Towia Libermann, PhD (Project 2), Alvaro Pascual-Leone, MD, PhD (Project 5), and Mouhsin Shafi, MD, PhD (Project 5). Executive Committee: Massachusetts General Hospital: Steven Arnold, MD; Brigham and Women’s Hospital: Michele Cavallari, MD; Harvard Medical School, Hebrew SeniorLife, Beth Israel Deaconess Medical Center: Tamara Fong, MD, PhD; Hebrew SeniorLife: Eva M. Schmitt, PhD (Overall Project Director); Harvard Medical School, Beth Israel Deaconess Medical Center: Emiliano Santarnecchi, PhD; Harvard Medical School, Massachusetts General Hospital: Alexandra Touroutoglou, PhD. Other Coinvestigators: Harvard Medical School, Beth Israel Deaconess Medical Center: Simon T. Dillon, PhD; Brigham and Women’s Hospital, Harvard Medical School: Charles Guttmann, MD; Brigham and Women’s Hospital: Tammy Hshieh, MD; University of Connecticut Health Center: George Kuchel, MD, FRCP; Harvard Medical School, Beth Israel Deaconess Medical Center: Long Ngo, PhD, and Daniel Press, MD; Beth Israel Deaconess Medical Center: Sarinnapha Vasunilashorn, PhD. Clinical Consensus Panel: Harvard Medical School, Beth Israel Deaconess Medical Center: Franchesca Arias, PhD; Massachusetts General Hospital: Eyal Kimchi, MD; Cambridge Health Alliance: Jason Strauss, MD; Beth Israel Deaconess Medical Center: Bonnie Wong, PhD. Surgical and Anesthesia Leaders: Harvard Medical School, Beth Israel Deaconess Medical Center: Ayesha Abdeen, MD, and Douglas Ayres, MD; Harvard Medical School, BWFH: Brandon Earp, MD; Harvard Medical School, Brigham and Women’s Hospital: Michael Belkin, MD; Harvard Medical School, Beth Israel Deaconess Medical Center: Mark Callery, MD, and Lisa Kunze, MD; Harvard Medical School, Brigham and Women’s Hospital: Jeffrey Lange, MD; Harvard Medical School, Beth Israel Deaconess Medical Center: Frank Pomposelli, MD; Harvard Medical School, Brigham and Women’s Hospital: John Wright, MD; Harvard Medical School, Beth Israel Deaconess Medical Center: Marc Schermerhorn, MD; Harvard Medical School, BWFH: David Shaff, MD; Harvard Medical School, Brigham and Women’s Hospital: Kamen Vlassakov, MD. Epidemiology Core: Hebrew SeniorLife: Tatiana Abrantes, BS; Beth Israel Deaconess Medical Center: Brett Armstrong, MA; Hebrew SeniorLife: Sylvia Bertrand, BS; Beth Israel Deaconess Medical Center: Rejoice Dhliwayo, BS; Hebrew SeniorLife: Madeline D’Aquila, BS, Sarah Garteganis, LMSW, MPH, and Kristen Erickson, MA; Beth Israel Deaconess Medical Center: Meaghan Fox, MA, Jacqueline Gallagher, MA, and Ben Helfand, MSc; Hebrew SeniorLife: Yonah Joffe, BA, Jacqueline Nee, BA, and Madeleine Martine, BA; Beth Israel Deaconess Medical Center: Abigail Overstreet, MA, and Kerry Palihnich, BA; Hebrew SeniorLife: Sarah Rastegar, MA and Meghan Shanahan, MA; Beth Israel Deaconess Medical Center: Louis Shaevel, MA; Hebrew SeniorLife: Guoquan Xu, MD, PhD. Data Management and Statistical Analysis Core: Hebrew SeniorLife: Fan Chen, MS, and Yun Gou, MA; John Hopkins School of Medicine: Alden Gross, PhD, MHS; Hebrew SeniorLife: Ilean Isaza, PhD; Brown University: Douglas Tommet, MPH. Fiscal Management Committee: Hebrew SeniorLife: Sabrina Carretie, MPH, Ted Gruen, and Katherine Tasker, BA (Chair).
Additional Information: This work is dedicated to the memory of Joshua Bryan Inouye Helfand.