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Resilience as a psychiatric factor affecting outcomes after total joint arthroplasty: a systematic review

Arthroplasty volume 6, Article number: 16 (2024) Cite this article

Abstract

Introduction

Mental and psychiatric status continue to be underscreened prior to total joint arthroplasty (TJA). Research on the role of resilience as a psychiatric factor affecting TJA outcomes remains limited. Therefore, our systematic review sought to evaluate the impact of patient resilience in TJA.

Methods

A systematic review of the literature from the Pubmed, MEDLINE, EBSCOhost, and Google Scholar online databases was performed in abidance with Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Studies reporting on outcomes following primary total hip arthroplasty (THA) and/or total knee arthroplasty (TKA) segregated by patient resilience were included. Case reports, reviews, meta-analyses, and conference abstracts were excluded. Primary outcomes of interest included patient-reported outcomes (PROs), surgical outcomes, and postoperative opioid consumption.

Results

Twelve articles were included reporting on a total of 1,577 TJAs. There was a strong agreement that the Patient Reported Outcomes Measurement Information System (PROMIS)-Physical Health and Mental Health components were strongly predicted by patient resilience. However, there was inconclusive evidence regarding the impact of resilience on UCLA Activity Scales (UCLA) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) outcomes as well as postoperative hip and knee function. Similarly, conflicting evidence was presented regarding the effect of resilience on length of stay (LOS). Greater resilience was associated with reduced opioid usage in the immediate inpatient postoperative period. However, resilience had no significant effect on opioid requirements in the postoperative outpatient follow-up time frame.

Conclusion

The present analysis demonstrated mixed, inconclusive evidence regarding the impact of resilience on postoperative outcomes. The paucity of research evaluating this relationship warrants further investigation, examining both short and long-term outcomes. Due to the limited literature evaluating resilience as a predictor of outcomes following TJA, we cannot definitively rule out resilience as a valuable metric and must further examine its utility as a preoperative screening tool.

Level of evidence

III.

Background

Total joint arthroplasty (TJA) continues to be one of the most common procedures in the United States with over one million total hip and knee replacements performed annually [1]. Numerous modifiable preoperative risk factors have been identified as significant predictors of outcomes following TJA, including obesity, malnutrition, diabetes, and psychiatric conditions [2, 3]. Psychiatric conditions, notably depression and anxiety, have harbored strong interest in recent years with studies observing a strong link between preoperative depression and anxiety status and increased rates of adverse outcomes, such as greater length of stay, readmission, and pain [4]. Despite these new findings, mental and psychiatric status continues to be underscreened prior to TJA procedures.

While depression and anxiety have been gaining traction, research on the role of resilience as a psychiatric factor affecting TJA outcomes remains limited. Resilience is defined as the “ability to adapt and improve when facing adversity or other stressors,” or the ability to bounce back from stress, and is one of many factors that constitute mental health [5]. Though resilience is quantified by various scales, the Connor-Davidson 10-item Resilience Scale (CD-RISC) and the Brief Resilience Scale (BRS) are the most commonly used tools. Higher resilience scores have been linked to positive postoperative patient-reported outcomes (i.e., pain, satisfaction) and earlier return to activity across various orthopaedic procedures, including shoulder, hip, and knee arthroscopy [6,7,8,9]. Although recent studies have also begun investigating the role of resilience in TJA procedures [10, 11], to the best of our knowledge, there is currently no comprehensive review regarding the influence of resilience on surgical outcomes. Exploring the predictive value of patient resilience in TJA may better inform providers which patients are at a higher risk for adverse outcomes and would thus require special perioperative care.

Therefore, our systematic review sought to evaluate the impact of patient resilience in TJA, specifically, to answer the question: How is patient resilience associated with patient outcomes in TJA?

Methods

Literature search

The Pubmed, MEDLINE, EBSCO Host, and Google Scholar online databases were queried for all studies published between 1 January 1997 to 7 February 2023 that reported on patient resilience in total hip arthroplasty (THA) and/or total knee arthroplasty (TKA). The following MeSH and keywords were employed to search the literature in combination with “AND” and “OR” Boolean operators: “Arthroplasty, Replacement, Hip [MeSH]”; “total hip arthroplasty”; “total hip replacement”; “THA”; “total knee replacement [MeSH]”; “total knee arthroplasty”; “TKA”; “total joint arthroplasty”; “TJA”; “resilience”; “psychological resilience [MeSH]”; “resiliency”. For the purposes of this study, we defined TJA as comprising THA and TKA only.

Eligibility criteria

The following criteria were established prior to the query to identify studies for inclusion: (1) English, full texts were available, (2) reported on primary THA or TKA patients, (3) studies reporting on surgical or patient-reported outcomes segregated by patient resilience. Exclusion criteria included: (1) duplicate studies across databases, (2) single or double case reports, (3) systematic reviews or meta-analyses, (4) studies reporting on revision TJA, (5) studies reporting on hemiarthroplasty, (6) studies reporting on hip resurfacing, (7) studies reporting on arthroscopy, (8) studies reporting on minimally invasive surgical techniques, and (9) abstracts and preprint articles.

Study selection

Two independent reviewers conducted our analysis of the literature in abidance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines [12]. Disagreements at any stage of the study selection process were evaluated and resolved by a third reviewer. Following the initial query, 62 articles were identified following the exclusion of duplicates. Subsequent evaluation of the titles and abstracts resulted in 18 remaining articles for full-text evaluation. Utilizing the pre-determined inclusion and exclusion criteria, 12 articles were included in the final analysis [10, 11, 13,14,15,16,17,18,19,20,21,22]. No additional studies were identified following a stepwise evaluation of each article’s reference list (Fig. 1).

Fig. 1
figure 1

Preferred reporting items for systematic review and meta-analyses (PRISMA) diagram demonstrating article selection process

Full size image

Methodological quality assessment

The risk of bias was evaluated for all included studies. The Methodological Index for Non-Randomized Studies (MINORS) tool was utilized for all non-randomized studies [23]. The MINORS tool consists of 12 methodological criteria scored between 0 and 2 to total up to an ideal global score of 24. Bias levels are categorized as follows: 0–6 (very low quality), 7–12 (low quality), 13–18 (moderate quality), 19–24 (high quality) [24]. Two independent reviewers applied these tools to assess the risk of bias in each included study. A third reviewer was utilized to resolve any disagreements.

Included studies

The present analysis included 12 articles reporting on a total of 1,577 TJAs (Table 1). Across the included articles, 4 different metrics for resilience were used, with the BRS (n = 7) and CD-RISC (n = 3) being the most commonly utilized tools. Due to the heterogeneity of the included studies, a pooled analysis could not be performed. The results of the studies are presented descriptively.

Table 1 Included studies
Full size table

All 12 of the included articles were classified as non-randomized studies. The average MINORs score for the studies included in our analysis was 19.29 (standard deviation [SD] = 1.75). 3 studies were of moderate quality, and 9 studies were of high quality.

Primary outcome

The primary goal of the study was to investigate the association between patient resilience and surgical and patient reported outcome measurements (PROMs) (Table 2). All 12 of the included studies reported on the impact of patient resilience on surgical and PROMs [10, 11, 13,14,15,16,17,18,19,20,21,22].

Table 2 Impact of resilience on outcomes
Full size table

Results

Effects of resilience on outcomes following TJA

A total of 12 studies explored the relationship between patient resilience and outcomes following TJA [10, 11, 13,14,15,16,17,18,19,20,21,22].

PROMs

The most frequently reported outcome measures were PROMs, with 9 of the 12 studies reporting on the impact of patient resilience on PROMs [10, 11, 14,15,16, 18,19,20,21]. The Physical Health (PH) and Mental Health (MH) components of the Patient Reported Outcomes Measurement Information System (PROMIS) were consistently found to be predicted by resilience [10, 11, 19]. Trinh et al. found that higher preoperative BRS scores significantly correlated with superior PROMIS-PH (r = 0.49, P < 0.001) and MH (r = 0.47, P < 0.001) outcomes 1 year postoperatively in TJA [10]. Nwankwo et al. similarly observed a significant association between BRS scores and 3-month PROMIS-PH (P < 0.001) and MH (P < 0.001) scores in a cohort of TKA patients; however, significance was lost for the PROMIS-MH component following adjustment for covariates [19]. In line with the previous findings, Magaldi et al. found preoperative resilience to significantly predict PROMIS-PH and -MH scores following TKA at both the 3-month and 1-year postoperative time-points [11]. In contrast to the strong agreement regarding the influence of resilience on PROMIS-PH and MH outcomes, there was disagreement on the impact of resilience on the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and UCLA Activity Scale (UCLA) scores [15, 18] following TJA. Amongst TKA patients, Bumberger et al. found that WOMAC scores upon admission for rehabilitation were not predicted by resilience (r = -0.127, P = 0.118), while the UCLA scores were significantly predicted by resilience (r = 0.257, P = 0.001) [18]. Conversely, another study conducted by Bumberger et al. examining THA patients had opposing findings with WOMAC scores (r = -0.248, P = 0.008), but not UCLA scores (r = 0.045, P = 0.332), being predicted by resilience [15].

Mixed evidence was presented regarding the impact of resilience on postoperative knee function. While Nwankwo et al. found resilience, as measured by the BRS, to be positively correlated with Knee injury and Osteoarthritis Outcome Score (KOOS, JR) scores (P = 0.002) 3 months following TKA, Magaldi et al. noted that preoperative BRS scores did not significantly predict KOOS JR. outcomes at both 3 months and 1 year after TKA [11, 19]. Likewise, Haffar et al. observed no correlation between BRS and postoperative KOOS JR scores as well as various Knee Society Score (KSS) parameters postoperatively, including patient expectation, patient satisfaction, functional activities and symptoms scores. Furthermore, there was no correlation between resilience and the change in KOOS JR or any KSS domain from the preoperative to minimum 1-year postoperative time-point [21].

No consensus was reached with regards to the impact of resilience on postoperative hip function. In a study evaluating THA patients, 3-month HOOS JR scores significantly increased from the low to high resilience groups (low vs. normal vs. high: 72.5 ± 16.3 vs. 75.9 ± 15.5 vs. 81.0 ± 12.7; P = 0.03) despite no baseline differences in Hip injury and Osteoarthritis Outcome Score (HOOS JR) scores [14]. On the other hand, Benditz et al. found that resilience was not significantly associated with the Harris Hip Score (HHS) outcomes in THA patients [20].

Other notable reported PROMs included the Veterans Rand 12-Item Survey (VR-12) Mental Component Score (MCS), EuroQol (EQ)-5D, and various visual analogue scale (VAS) metrics. No correlation between resilience and improvement in VR-12 MCS was observed [21]. Both the EQ-5D and EQ-VAS were significantly impacted by resilience with Magali et al. showing the BRS to be a significant predictor of 3-month (P < 0.001) and 1-year (P < 0.001) EQ-5D scores and Lynskey et al. demonstrating a strong positive correlation between CD-RISC and EQ-VAS (r = 0.530, P < 0.001) [11, 16]. Lynskey et al. further observed a moderate positive correlation between the CD-RISC and Satisfaction VAS (r = 0.311, P < 0.001) and the CD-RISC and net promoter score (NPS) (r = 0.393, P < 0.001) [16].

Surgical outcomes

A total of 4 studies reported surgical and clinician-reported outcomes [14, 17, 21, 22]. Conflicting evidence was presented on the impact of resilience on length of stay (LOS) in TJA. Zabat et al. noted significantly reduced LOS with increasing resilience amongst a cohort of THA patients (P < 0.01) [14]. However, in another study examining TKA patients, no significant correlation was found between resilience and LOS (r = -0.209, P = 0.072), and no differences in LOS were detected between the low resilience (BRS < 3) and normal/high resilience group (BRS ≥ 3) (P = 0.478) [17]. Furthermore, no relationship was identified between resilience and rate of reoperations, postoperative complications, and inpatient rehabilitation service use [17, 21]. However, a study by Sciume et al. noted a significant association between greater resilience and a higher functional independence measure (FIM) score, which measures a patient’s ability to carry out daily activities of living on their own. Interestingly, this finding applied only to fracture patients, not those who underwent elective TJA [22].

Opioid consumption

Opioid consumption was evaluated by a total of 2 articles, which demonstrated mixed results [13, 21]. Trinh et al. reported no significant relationship between resilience and the use of opioids in the perioperative period. However, in the immediate inpatient postoperative period, high-resilience patients had significantly reduced opioid requirements than those with low resilience (high vs. low: 2.12 MME/h vs. 3.11 MME/h, P = 0.035, MME = morphine milligram equivalent), and preoperative BRS scores displayed a significant negative correlation with inpatient opioid usage (r = -0.026, P = 0.003). When evaluating postoperative outpatient opioid requirements at extended follow-up intervals, no differences were observed across resilience groups with regards to both initial prescription and total refills [13]. This was also demonstrated by Haffar et al., who reported no significant correlation between resilience and postoperative opioid usage at a longer follow-up interval of up to 6 months (r = -0.157, P = 0.166) [21].

Discussion

The prevalence of psychiatric conditions continues to increase and represents important risk factors for preoperative screening given their association with adverse surgical outcomes for TJA procedures [25, 26]. Previous studies have characterized patient resilience through the CD-RISC and the BRS, demonstrating its associations with improved patient-reported outcomes. In this analysis, we evaluated all studies reporting surgical or patient-reported outcomes by patient resilience during primary THA or TKA procedures. Preoperative resilience significantly predicted increased PROMIS-PH and MH scores in TJA but did not demonstrate a clear association with WOMAC and UCLA scores in addition to postoperative hip and knee function. In a retrospective study evaluating TKA patients, Bumberger et al. observed resilience to significantly predict UCLA, but not WOMAC scores. Prior studies have indicated the UCLA scale as a superior outcome metric for TJA with increased reliability and no floor effects [27]. Therefore, the UCLA scale may better detect differences between low and high resilience patients. However, in another independent study by Bumberger et al. evaluating THA patients, resilience predicted WOMAC, but not UCLA scores. It is important to recognize that these findings were based on a single study for THA and TKA, reinforcing the need to further explore this relationship. Additionally, increased resilience was associated with significantly reduced LOS for THA patients. Finally, there was no consensus on the relationship between resilience and opioid consumption during the postoperative period. This information suggests that further research investigating strategies to increase resilience among patient populations at risk of low resilience may be useful when optimizing TJA during the preoperative, perioperative, and postoperative periods to improve patient and surgical outcomes.

Surgical indications and diagnosis may influence how we interpret patient resilience and utilize it as a risk stratification tool. A prospective study by Sciume et al. found that patients undergoing THA for hip fractures had lower baseline resilience levels than those receiving elective THA [22]. This may be due to a generally lower perceived quality of life and independence in daily activities in those undergoing traumatic surgery compared to their elective counterparts. For traumatic conditions like acute hip fractures, patients abruptly transition from a normal to a dependent state. On the other hand, in degenerative cases like chronic osteoarthritis (OA), patients adapt to their conditions over time. This could partially explain why patients undergoing elective surgery have a higher baseline resilience than hip fracture patients. These findings suggest that resilience may in some way be related to the stressfulness and type of event leading to the surgery (i.e., traumatic vs. elective), although prior studies have suggested that resilience is independent of the type of event [28]. The varying baseline resilience scores across surgical indications and diagnoses should serve to guide expectations regarding patient resilience levels in different cohorts of patients. Additionally, greater resilience levels were significantly associated with higher functional outcomes. Interestingly, this only held true for fracture patients. As for elective surgery, no differences on FIM score existed between high and low levels of resilience [22]. This does not necessarily preclude resilience as an important factor contributing to functional outcome in elective patients. Because elective patients have higher baseline functional scores, it may simply be more challenging to observe significant differences from the preoperative to postoperative period. Conversely, traumatic patients, such as hip fracture patients, tend to have lower baseline functional scores, thereby increasing the probability of observing significant improvements in functional outcomes. Nonetheless, traumatic and elective patients possess distinct clinical characteristics, warranting investigations of the role of resilience in each cohort of patients independently.

There is a paucity of literature evaluating the association between preoperative resilience and LOS following TJA. Our findings revealed mixed evidence on the impact of resilience on LOS, but it is limited by the small number of studies reporting on this relationship. While LOS significantly decreased with increasing resilience amongst THA patients, the same association was not observed amongst TKA patients [14, 17]. This is likely, at least in part, due to the discrepancies in sample size of the studies evaluating THA and TKA. The study evaluating LOS in THA (Zabat et al.) had a sample size of 393, while the study examining TKA (March et al.) had only 75 patients. Therefore, a significant difference is more likely to be observed in THA than TKA. Though the relationship between LOS and resilience is unclear, the potential predictive value of resilience for LOS has important implications. Prolonged LOS can increase risks for inpatient complications and burdensome hospital costs [29]. This could negatively impact both short- and long-term perceived outcomes. While the relationship between LOS and resilience needs further exploration, resilience could be a valuable tool in predicting LOS following TJAs and guiding adequate measures to reduce the deleterious sequelae of increased hospitalization. Additionally, opioid consumption was reported to be higher in low-resilience patients in the immediate inpatient postoperative period. However, no differences in outpatient opioid consumption were observed across resilience levels [13]. This may be related to provider expectations regarding acute inpatient analgesic needs following TJA. For instance, low-resilience patients may receive greater inpatient prescriptions of opioids than high-resilience patients despite comparable postoperative pain levels. There is a need to further investigate postoperative pain outcomes and opioid requirements between resilience levels. Furthermore, if low-resilience patients do have longer inpatient LOS as suggested by Zabat et al. [14], this may further exacerbate the increased inpatient opioid consumption demonstrated in low-resilience patients.

Our analysis has some limitations. There was significant heterogeneity in the resilience metrics utilized as well as the outcomes reported. Therefore, a pooled analysis could not be conducted, and our findings are conveyed descriptively. A pooled analysis was further limited by the relatively sparse literature reporting on the association between resilience and outcomes after TJA. Future endeavors should focus on evaluating previously reported outcomes to improve the consistency and availability of reported data, which will allow for a meta-analysis down the line. Moreover, the wide range of systems used to measure resilience across studies compromises consistency. For example, a patient with a low resilience level according to the BRS may not necessarily have low resilience if measured by another resilience metric. With this in mind, future prospective studies should strive to establish a unified metric for measuring resilience. Based on the included retrospective studies of the present analysis, the BRS is the most commonly utilized metric. Additionally, many of the studies did not control for diagnosed or undiagnosed psychiatric conditions, which may serve as confounding variables that obscure the true association between resilience and postoperative outcomes. While this may be challenging due to many psychiatric conditions being under-diagnosed, studies should attempt to be mindful of such extraneous factors. Most of the included studies did not specify surgical indications or diagnoses, which can influence both resilience and outcomes.

Conclusion

Our systematic review found inconclusive evidence regarding the impact of preoperative resilience on PROMs and surgical outcomes, including LOS and opioid consumption. Future studies should continue to focus on exploring the relationship between resilience and TJA outcomes as the limited literature makes it challenging to observe any trends or patterns. While the present findings do not support resilience as a significant predictor of outcomes following TJA, the paucity of research on this topic warrants further investigation into whether resilience could be a valuable metric incorporated into routine preoperative screening for TJA to stratify risk and maximize outcomes.

Availability of data and materials

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References

  1. MaraditKremers H, Larson DR, Crowson CS, Kremers WK, Washington RE, Steiner CA, et al. Prevalence of Total Hip and Knee Replacement in the United States. J Bone Joint Surg Am. 2015;97(17):1386–97.

    Article  Google Scholar 

  2. Bonasia DE, Palazzolo A, Cottino U, Saccia F, Mazzola C, Rosso F, et al. Modifiable and Nonmodifiable Predictive Factors Associated with the Outcomes of Total Knee Arthroplasty. Joints. 2019;7(1):13–8.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Hecht CJ, Burkhart RJ, Karimi AH, Acuña AJ, Kamath AF. What is the Association Between Clinically Diagnosed Psychiatric Illness and Total Joint Arthroplasty? A Systematic Review Evaluating Outcomes, Healthcare Use, and Patient-reported Outcome Measures. Clin Orthop Relat Res. 2023;481(5):947–64.

    Article  PubMed  Google Scholar 

  4. Geoffrion R, Koenig NA, Zheng M, Sinclair N, Brotto LA, Lee T, et al. Preoperative Depression and Anxiety Impact on Inpatient Surgery Outcomes. Ann Surg Open. 2021;2(1): e049.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Otlans PT, Szukics PF, Bryan ST, Tjoumakaris FP, Freedman KB. Resilience in the Orthopaedic Patient. J Bone Joint Surg Am. 2021;103(6):549–59.

    Article  PubMed  Google Scholar 

  6. Szukics PF, Otlans P, Meade M, Lynch J, Salvo J. Associating Outcomes After Hip Arthroscopy With Patient Resilience. Orthop J Sports Med. 2023;11(2):23259671221147280.

    Article  Google Scholar 

  7. Silverman AR, DeFroda SF, Cohen BH, Quinn MS, Tabaddor RR. The brief resilience scale is associated with pre- and short-term postoperative outcomes following hip arthroscopy. Hip Int. 2022;32(5):641–7.

    Article  PubMed  Google Scholar 

  8. Chavez TJ, Garvey KD, Collins JE, Lowenstein NA, Matzkin EG. Resilience as a Predictor of Patient Satisfaction With Nonopioid Pain Management and Patient-Reported Outcome Measures After Knee Arthroscopy. Arthroscopy. 2020;36(8):2195–201.

    Article  PubMed  Google Scholar 

  9. Porter A, Hill MA, Harm R, Greiwe RM. Resiliency influences postoperative outcomes following rotator cuff repair. J Shoulder Elbow Surg. 2021;30(5):1181–5.

    Article  PubMed  Google Scholar 

  10. Trinh JQ, Carender CN, An Q, Noiseux NO, Otero JE, Brown TS. Resilience and Depression Influence Clinical Outcomes Following Primary Total Joint Arthroplasty. J Arthroplasty. 2021;36(5):1520–6.

    Article  PubMed  Google Scholar 

  11. Magaldi RJ, Staff I, Stovall AE, Stohler SA, Lewis CG. Impact of Resilience on Outcomes of Total Knee Arthroplasty. J Arthroplasty. 2019;34(11):2620-2623.e1.

    Article  PubMed  Google Scholar 

  12. Moher D, Liberati A, Tetzlaff J, Altman DG, Altman D, Antes G, et al. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med. 2009;151(4):264–9.

    Article  PubMed  Google Scholar 

  13. Trinh JQ, Carender CN, An Q, Noiseux NO, Otero JE, Brown TS. Patient Resilience Influences Opioid Consumption in Primary Total Joint Arthroplasty Patients. Iowa Orthop J. 2022;42(2):112–7.

    PubMed  PubMed Central  Google Scholar 

  14. Zabat MA, Lygrisse KA, Sicat CS, Pope C, Schwarzkopf R, Slover JD. The Impact of Patient Resilience on Discharge After Total Hip Arthroplasty. J Arthroplasty. 2022;37(7S):S493–7.

    Article  PubMed  Google Scholar 

  15. Bumberger A, Borst K, Willegger M, Hobusch GM, Windhager R, Waldstein W, et al. Specific knowledge and resilience affect short-term outcome in patients following primary total hip arthroplasty. Arch Orthop Trauma Surg. 2022;142(6):1229–37.

    Article  PubMed  Google Scholar 

  16. Lynskey SJ, Ling F, Greenberg AM, Penny-Dimri JC, Sutherland AG. The influence of patient resilience and health status on satisfaction after total hip and knee arthroplasty. Surgeon. 2021;19(1):8–14.

    Article  PubMed  Google Scholar 

  17. March MK, Harmer AR, Thomas B, Maitland A, Black D, Dennis S. Does resilience predict hospital length of stay after total knee arthroplasty? A prospective observational cohort study. Arthroplasty (London, England). 2022;4(1):27.

    PubMed  Google Scholar 

  18. Bumberger A, Borst K, Hobusch GM, Willegger M, Stelzeneder D, Windhager R, et al. Higher patient knowledge and resilience improve the functional outcome of primary total knee arthroplasty. Wien Klin Wochenschr. 2021;133(11–12):543–9.

    Article  PubMed  Google Scholar 

  19. Nwankwo VC, Jiranek WA, Green CL, Allen KD, George SZ, Bettger JP. Resilience and pain catastrophizing among patients with total knee arthroplasty: a cohort study to examine psychological constructs as predictors of post-operative outcomes. Health Qual Life Outcomes. 2021;19(1):136.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Benditz A, Jansen P, Schaible J, Roll C, Grifka J, Götz J. Psychological factors as risk factors for poor hip function after total hip arthroplasty. Ther Clin Risk Manag. 2017;13:237–44.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Haffar A, Bryan S, Harwood M, Lonner JH. Patient Resilience Has Moderate Correlation With Functional Outcomes, but Not Satisfaction, After Primary Unilateral Total Knee Arthroplasty. Arthroplast Today. 2021;10:123–7.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Sciumè L, Rebagliati GAA, Iannello P, Mottini A, Alessandro A, Caserta AV, et al. Rehabilitation After Urgent or Elective Orthopedic Surgery: The Role of Resilience in Elderly Patients. Rehabil Nurs. 2018;43(5):267–74.

    Article  PubMed  Google Scholar 

  23. Detsky AS, Naylor CD, O’Rourke K, McGeer AJ, L’Abbé KA. Incorporating variations in the quality of individual randomized trials into meta-analysis. J Clin Epidemiol. 1992;45(3):255–65.

    Article  CAS  PubMed  Google Scholar 

  24. Öhlin A, Karlsson L, Senorski EH, Jónasson P, Ahldén M, Baranto A, et al. Quality assessment of prospective cohort studies evaluating arthroscopic treatment for femoroacetabular impingement syndrome: a systematic review. Orthop J Sports Med. 2019.

  25. Goodwin RD, Weinberger AH, Kim JH, Wu M, Galea S. Trends in anxiety among adults in the United States, 2008–2018: Rapid increases among young adults. J Psychiatr Res. 2020;130:441–6.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Goodwin RD, Dierker LC, Wu M, Galea S, Hoven CW, Weinberger AH. Trends in U.S. depression prevalence from 2015 to 2020: the widening treatment gap. Am J Prev Med. 2022;63(5):726–33.

  27. Naal FD, Impellizzeri FM, Leunig M. Which is the best activity rating scale for patients undergoing total joint arthroplasty? Clin Orthop Relat Res. 2009;467(4):958–65.

    Article  PubMed  Google Scholar 

  28. Hardy SE, Concato J, Gill TM. Resilience of community-dwelling older persons. J Am Geriatr Soc. 2004;52(2):257–62.

    Article  PubMed  Google Scholar 

  29. Yang K, Sambandam S. Total hip arthroplasty in patients with colostomy: impact on inpatient complications, hospital costs, and length of stay. Arch Orthop Trauma Surg. 2023.

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  1. Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA

    Andrew G. Kim, Parshva Sanghvi, Adam A. Rizk, Aaron Ahn, Thomas J. Pumo & Atul F. Kamath

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Contributions

A.G.K. contributed to the conceptualization, methodology, data curation, data extraction, formal analysis, investigation, and drafting of the manuscript. P.S. contributed to the data curation, data extraction, formal analysis, and drafting of the manuscript. A.A.R. contributed to the data curation, investigation, methodology, and drafting of the manuscript. A.A. contributed to the investigation and drafting of the manuscript. T.J.P. contributed to the investigation and editing of the manuscript. A.F.K. contributed to the investigation, project administration, supervision, and editing of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Atul F. Kamath.

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As our analysis used publicly available and deidentified data, it was exempt from Institutional Review Board (IRB) approval.

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Competing interests

A.F.K. reports the following disclosures: research support (Signature Orthopaedics), paid presenter or speaker (DePuy Synthes and Zimmer Biomet), paid consultant (DePuy Synthes and Zimmer Biomet), stock or stock options (Zimmer Biomet, Johnson & Johnson, and Procter & Gamble), IP royalties (Innomed), and board or committee member (AAOS, AAHKS, and Anterior Hip Foundation). A.G.K., P.S., A.A.R., A.A., and T.J.P. have nothing to disclose.

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Kim, A.G., Sanghvi, P., Rizk, A.A. et al. Resilience as a psychiatric factor affecting outcomes after total joint arthroplasty: a systematic review. Arthroplasty 6, 16 (2024). https://doi.org/10.1186/s42836-024-00240-8

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Arthroplasty

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