Do Antidepressant Medications Influence Readmission Rates Following Primary Total Hip Arthroplasty: A Retrospective Study

Article Information

Brian Begley*1, Justin M. Miller2, Chirstopher Mazzei2, Jay Patel2, Tyler Hoskins2, Grace Huntington2, Samantha Frank2, Elieen Poletick2, Stephanie Chiu2, James C. Wittig2

Cooper Medical School of Rowan University, Camden, NJ 08103, United States

Morristown Medical Center Department of Orthopedics, Morristown, NJ 07960, United States

*Corresponding Author: Brian Begley, Cooper Medical School of Rowan University, Camden, NJ 08103, United States

Received: 16 February 2023; Accepted: 02 March 2023; Published: 19 May 2023

Citation: Brian Begley, Justin M. Miller, Chirstopher Mazzei, Jay Patel, Tyler Hoskins, Grace Huntington, Samantha Frank, Elieen Poletick, Stephanie Chiu, James C. Wittig. Do Antidepressant Medications Influence Readmission Rates Following Primary Total Hip Arthroplasty: A Retrospective Study. Journal of Surgery and Research. 6 (2023): 202-208.

View / Download Pdf Share at Facebook

Keywords

Antidepressant medications, Arthroplasty, Total hip arthroplasties, Total knee arthroplasties

Total Hip Arthroplasty articles

Antidepressant medications articles Antidepressant medications Research articles Antidepressant medications review articles Antidepressant medications PubMed articles Antidepressant medications PubMed Central articles Antidepressant medications 2023 articles Antidepressant medications 2024 articles Antidepressant medications Scopus articles Antidepressant medications impact factor journals Antidepressant medications Scopus journals Antidepressant medications PubMed journals Antidepressant medications medical journals Antidepressant medications free journals Antidepressant medications best journals Antidepressant medications top journals Antidepressant medications free medical journals Antidepressant medications famous journals Antidepressant medications Google Scholar indexed journals Arthroplasty articles Arthroplasty Research articles Arthroplasty review articles Arthroplasty PubMed articles Arthroplasty PubMed Central articles Arthroplasty 2023 articles Arthroplasty 2024 articles Arthroplasty Scopus articles Arthroplasty impact factor journals Arthroplasty Scopus journals Arthroplasty PubMed journals Arthroplasty medical journals Arthroplasty free journals Arthroplasty best journals Arthroplasty top journals Arthroplasty free medical journals Arthroplasty famous journals Arthroplasty Google Scholar indexed journals Total hip arthroplasties articles Total hip arthroplasties Research articles Total hip arthroplasties review articles Total hip arthroplasties PubMed articles Total hip arthroplasties PubMed Central articles Total hip arthroplasties 2023 articles Total hip arthroplasties 2024 articles Total hip arthroplasties Scopus articles Total hip arthroplasties impact factor journals Total hip arthroplasties Scopus journals Total hip arthroplasties PubMed journals Total hip arthroplasties medical journals Total hip arthroplasties free journals Total hip arthroplasties best journals Total hip arthroplasties top journals Total hip arthroplasties free medical journals Total hip arthroplasties famous journals Total hip arthroplasties Google Scholar indexed journals Total knee arthroplasties articles Total knee arthroplasties Research articles Total knee arthroplasties review articles Total knee arthroplasties PubMed articles Total knee arthroplasties PubMed Central articles Total knee arthroplasties 2023 articles Total knee arthroplasties 2024 articles Total knee arthroplasties Scopus articles Total knee arthroplasties impact factor journals Total knee arthroplasties Scopus journals Total knee arthroplasties PubMed journals Total knee arthroplasties medical journals Total knee arthroplasties free journals Total knee arthroplasties best journals Total knee arthroplasties top journals Total knee arthroplasties free medical journals Total knee arthroplasties famous journals Total knee arthroplasties Google Scholar indexed journals surgical procedures articles surgical procedures Research articles surgical procedures review articles surgical procedures PubMed articles surgical procedures PubMed Central articles surgical procedures 2023 articles surgical procedures 2024 articles surgical procedures Scopus articles surgical procedures impact factor journals surgical procedures Scopus journals surgical procedures PubMed journals surgical procedures medical journals surgical procedures free journals surgical procedures best journals surgical procedures top journals surgical procedures free medical journals surgical procedures famous journals surgical procedures Google Scholar indexed journals antidepressant medications articles antidepressant medications Research articles antidepressant medications review articles antidepressant medications PubMed articles antidepressant medications PubMed Central articles antidepressant medications 2023 articles antidepressant medications 2024 articles antidepressant medications Scopus articles antidepressant medications impact factor journals antidepressant medications Scopus journals antidepressant medications PubMed journals antidepressant medications medical journals antidepressant medications free journals antidepressant medications best journals antidepressant medications top journals antidepressant medications free medical journals antidepressant medications famous journals antidepressant medications Google Scholar indexed journals total joint arthroplasties articles total joint arthroplasties Research articles total joint arthroplasties review articles total joint arthroplasties PubMed articles total joint arthroplasties PubMed Central articles total joint arthroplasties 2023 articles total joint arthroplasties 2024 articles total joint arthroplasties Scopus articles total joint arthroplasties impact factor journals total joint arthroplasties Scopus journals total joint arthroplasties PubMed journals total joint arthroplasties medical journals total joint arthroplasties free journals total joint arthroplasties best journals total joint arthroplasties top journals total joint arthroplasties free medical journals total joint arthroplasties famous journals total joint arthroplasties Google Scholar indexed journals psychopharmacological  articles psychopharmacological  Research articles psychopharmacological  review articles psychopharmacological  PubMed articles psychopharmacological  PubMed Central articles psychopharmacological  2023 articles psychopharmacological  2024 articles psychopharmacological  Scopus articles psychopharmacological  impact factor journals psychopharmacological  Scopus journals psychopharmacological  PubMed journals psychopharmacological  medical journals psychopharmacological  free journals psychopharmacological  best journals psychopharmacological  top journals psychopharmacological  free medical journals psychopharmacological  famous journals psychopharmacological  Google Scholar indexed journals

Article Details

Introduction

In 2014, total knee and total hip arthroplasty procedures were, respectively, the third and fourth most frequently performed procedures and accounted for 9% of all inpatient surgical procedures performed in the United States [1]. Numerous studies forecast an increased number of these procedures being performed over the coming decade and beyond [2]. A 25-year projection of TJA volume expects 572,000 total hip arthroplasties (THA) and 3.48 million total knee arthroplasties (TKA) to be performed annually by 2030 [3]. Under these conditions, nearly 1% of the projected 355.1 million Americans will undergo a THA procedure in 2030 [4]. It is crucial we better understand this expanding population to better mitigate risk factors and improve outcomes.

Antidepressant (AD) medications encompass a variety of drug classes (selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibits (SNRIs), tricyclic antidepressants (TCAs), etc.). Much of the literature describing their impact in orthopedic procedures focuses on the role of serotonergic agents, likely because of the presumed effects on platelet aggregation [5-8]. Between 10-15% of older adults experience some clinically significant form of depression and likewise, report the greatest rates of antidepressant medication use among all age groups [9]. Clinically speaking, Gold et al. showed an association between depression and 90-day readmissions following TJA as patients with a recorded history of depression were 21-24% more likely to experience a readmission event [10]. There are potential economic impacts to consider as well. Ahn et al. identified an association between TJA patients with a recorded clinical history of depression, and higher predicted bundle cost than the target price of this procedure [11]. It is prudent we uncover the influence AD medications may play in the clinical success of TJA procedures. The purpose of this analysis was to examine how various classes of AD medication influence readmission rates of primary THA procedures. Readmission events can negatively impact a patient’s recovery from THA and create financial strain on the hospitals caring for these patients. Investigation of this patient population is warranted to better inform physicians how best to manage patients taking antidepressant medications.

Methods

Having obtained Institutional Review Board approval, a retrospective review was conducted of all THA procedures at our institution from January 2015 to June 2019. Patients were identified from their THA procedure codes (DRG 469 & 470 w/out fracture) in the hospital’s Billing Claims Database. A total of 4,935 subjects were identified. Subjects were excluded for the following: revision or conversion THA, hip resurfacing, bilateral, and hip fracture procedures.

Patient level data including age, sex, ASA and select comorbidities was abstracted from the hospitals electronic medical record (EMR) system. Outpatient use of AD medication was assumed if any of the specified AD medication was listed in the billings claim database during the index admission. A total of 696 subjects taking AD medication were identified.

Readmission events were identified in the cohort using the hospital EMR. Readmission events were defined by admission to any part of the hospital system following their index procedure date. Readmissions events were classified by the nature of the complication. Admission to the hospital for dislocation/instability, periprosthetic femur or acetabular fracture (PPF), aseptic loosening/failed osseointegration, prosthetic joint infection (PJI) and other instances of hardware failures were considered mechanical complication readmissions. Admission to the hospital for any reason other than those previously stated were considered non-mechanical complication readmission. Diagnosis codes for all potential complications were considered by two reviewers and classified by the nature of the event. Minitab (State College, PA, USA) was used to perform basic and univariate analysis of the data.

Results

A total of 4,935 patients were identified based on our inclusion criteria with 696 having been prescribed antidepressants. Of the patients included, 2,217 (52.30%) were female and 497 (71.41%) were female in the antidepressant cohort. The average age in the total group was 66.562 which was similar to the average age in the antidepressant group of 66.235. There was a significant difference found between the two groups' comorbidities. Specifically, there were differences in lung disease, diabetes mellitus, as well as having a past medical history of smoking, alcohol use and depression as seen in table 1.

The overall readmission rate between 1-30 days was found to be significantly different between the groups (P<0.001) with 110 patients (2.6%) who were not prescribed antidepressants and 37(5.3%) who were prescribed antidepressants. Total readmission rates trended towards statistical significance at 31-60 days (p=0.057) with 31 (0.7%) patients who were not taking antidepressants and 10 (1.4%) who were taking antidepressants. Overall readmission rates from 1-60 days was statistically significant (p<0.05) with 131(3%) to 47(6.8%) for no antidepressants and depressants respectively. At 61-90 days, there was no significant difference between the two groups (P=0.353). Overall readmission rates from 1-90 days was statistically significant (p <0.05) with 180 (4.2%) and 56 (8%) for the non antidepressant and antidepressant group respectively as seen in table 1.

 

No Antidepressant n=4239

Any Antidepressant n=696

p-value

Age, n, mean (SD)

66.562 (10.436)

66.235 (10.022)

0.428

Gender=F, n (%)

2217 (52.30%)

497 (71.41%)

<0.001

Readmission Rates

1-30 days

110 (2.6%)

37 (5.3%)

<0.001

31-60 days

31 (0.7%)

10 (1.4%)

0.057

60 day

131 (3%)

47 (6.8)

<0.05

61-90 days

39 (0.9%)

9 (1.3%)

0.353

90 day

180 (4.2%)

56 (8%)

<0.05

Mechanical Readmission Rates

1-30 days

49 (1.2%)

16 (2.3%)

0.014

31-60 days

7 (0.2%)

4 (0.6%)

0.066

60 day

56 (1.3%)

20 (2.9%)

<0.05

61-90 days

3 (0.1%)

2 (0.3%)

0.148

90 day

59 (1.4%)

22 (3.2%)

<0.05

Non Mechanical Readmission Rates

1-30 days

24 (0.6%)

7 (1%)

0.174

31-60 days

31 (0.7%)

11 (1.6%)

0.024

60 day

55 (1.3%)

18 (2.6%)

>0.05

61-90 days

33 (0.8%)

6 (0.9%)

>0.05

90 day

88 (2.1%)

24 (3.5%)

>0.05

Comorbidities

Lung Disease

129 (3%)

56 (8%)

<0.001

Cardiac

719 (17%)

130 (18.7%)

0.266

DM

399 (9.4%)

95 (13.6%)

0.001

Smoking History

246 (5.8%)

66 (9.5%)

<0.001

Renal

141 (3.3%)

25 (3.6%)

0.719

ETOH

33 (0.8%)

13 (1.9%)

0.006

Depression

215 (5.1%)

393 (56.5%)

<0.001

Table 1: Readmission rates by Antidepressant use

It was found there was a statistically significant difference in overall mechanical complication readmission rates (p=0.014) between the two groups at 30 days as 49 (1.2%) were readmitted who were not taking antidepressants and 16 (2.3%) who were on antidepressants. There was no statistically significant difference in mechanical complication readmission rates between the two groups at the 31-60 days and 61-90 days period. When examining total mechanical readmission from 1-60 days, 56 (1.3%) and 20 (2.9%) there was a statistically significant difference between the non antidepressant and antidepressant group  (p<0.05), as well as 1-90 days with 59 (1.4%) and 22 (3.2%) (p<0.05) for the non antidepressant and anti depressant group respectively as seen in table 1.

Regarding overall non-mechanical readmission rates, there was no statistically significant difference at 1-30 days, 1-60 days, 1-90 days, and 61-90 days but there was a difference found at 31-60 days. Thirty-one patients (0.7%) not taking antidepressants were readmitted at 60 days for non mechanical complications and 11(1.6%) while on antidepressants (P=0.024) as shown in table 1.

Sub-analysis by gender of patients in the antidepressant group found there to be 497 females taking antidepressant and 199 males taking antidepressants. There were statistically significant differences between the two groups comorbidities as 73 (14.7%) females had a history of cardiac disease compared to 57 (28.6%) males (p<0.001). Similarly, 57 (11.5%) females had a history of diabetes mellitus compared to 38 (19.1%) males (p=0.015). There was no difference in the two groups regarding history of lung disease, renal disease, smoking history, alcohol use, or history of depression as seen in table 2.

 

Female + Any Antidepressant (n=497)

Male + Any Antidepressant (n=199)

p-value

Readmission Rates

1-30 days

27/497 (5.4%)

10/199 (5%)

0.826

31-60 days

9/497 (1.8%)

1/199 (0.5%)

0.296

60 day

36 (7.3%)

11 (5.5%)

>0.05

61-90 days

6/497 (1.2%)

3/199 (1.5%)

0.72

90 day

42 (8.5%)

14 (7%)

>.05

Mechanical Readmission Rates

1-30 days

16/497 (3.2%)

0/199 (0%)

0.009

31-60 days

3/497 (0.6%)

1/199 (0.5%)

>0.999

60 day

19 (3.8%)

1 (0.5%)

<0.05

61-90 days

1/497 (0.2%)

1/199 (0.5%)

0.49

90 day

20 (4%)

2 (1%)

<0.05

Non Mechanical Readmission Rates

1-30 days

3/497 (0.6%)

4/199 (2%)

0.107

31-60 days

10/497 (2%)

1/199 (0.5%)

0.193

60 day

13 (2.6%)

5 (2.5%)

>0.05

61-90 days

4/497 (0.8%)

2/199 (1%)

>0.999

90 day

17 (4.3%)

7 (3.5%)

>0.05

Comorbidities

Lung Disease

40/497 (8%)

16/199 (8%)

0.997

Cardiac

73/497 (14.7%)

57/199 (28.6%)

<0.001

DM

57/497 (11.5%)

38/199 (19.1%)

0.015

Smoking History

45/497 (9.1%)

21/199 (10.6%)

0.554

Renal

12/497 (2.4%)

13/199 (6.5%)

0.029

ETOH

8/497 (1.6%)

5/199 (2.5%)

0.468

Depression

289/497 (58.1%)

104/199 (52.3%)

0.159

Table 2: Subanalysis of readmission by gender

Analysis of overall readmission rates by gender revealed no differences at 1-30, 31-60, 1-60, 61-90 or 90 days. Mechanical complication readmission rates at 30 days were statistically significant and found 16 (3.2%) females taking antidepressants compared to 0 males to be readmitted (p=0.009.) Similarly, there was a statistically significant difference from 1-60 days with 19 (3.8%) females taking antidepressants and 1 (0.5%) male readmitted for mechanical complications (p<0.05). There was also a statistically significant difference at the 1-90 day interval with 20 (4%) females and 2 (1%) males readmitted for mechanical complications (p<0.05). It was found that there were no differences at 31-60 and 61-90 days. Additionally, there were no statistically significant differences in non-mechanical readmission rates analyzed by gender at the 1-30, 31-60, 1-60, 61-90 or 1-90 days as shown in table 2.

Analysis then compared readmission rate by antidepressant class. There were 453 (65%) patients that were taking selective serotonin reuptake inhibitors (SSRIs) and 696 patients using other antidepressant classes which include tricylic antidepressants or monoamine reuptake inhibitors. The only statistically significant difference in comorbidity was that 63 (13.9%) patients on SSRIs had a history of cardiac disease compared to 130 (18.6%) that were on a different antidepressant (P=0.032.) This sub analysis showed no significant difference in overall readmission rate at 1-30, 31-60, 1-60, 61-90 or 1-90 days intervals. Additionally, there were no significant differences in mechanical complication rates between the two groups at 1-30, 31-60, 1-60. 61-90 or 1-90 day intervals. Further subgroup analysis revealed no significant difference in non mechanical complication rates at 1-30, 31-60, 1-60, 61-90 and 1-90 days intervals as shown in table 3.

 

SSRI (n=453)

Any AD (n=696)

p-value

Readmission Rates

1-30 days

24/453 (5.2%)

37/696 (5.3%)

0.998

31-60 days

5/453 (1.1%)

10/696 (1.4%)

0.621

60 day

29 (6.4%)

47 (6.8%)

>.05

61-90 days

4/453 (0.8%)

9/696 (1.2%)

0.583

90 day

33 (7.3%)

56 (8.0%)

>.05

Mechanical Readmission Rates

1-30 days

10/453 (2.2%)

16/696 (2.2%)

0.924

31-60 days

2/453 (0.4%)

4/696 (0.5%)

>0.999

60 day

12 (2.6%)

20 (2.9%)

>.05

61-90 days

1/453 (0.2%)

2/696 (0.2%)

>0.999

90 day

13 (2.9%)

22 (3%)

>.05

Non Mechanical Readmission Rates

1-30 days

6/453 (1.3%)

7/696 (1.0%)

0.624

31-60 days

6/453 (1.3%)

11/696 (1.5%)

0.725

60 day

12 (2.6%)

18 (2.6%)

>.05

61-90 days

2/453 (0.4%)

6/696 (0.8%)

0.491

90 day

14 (3.0%)

24 (3.4%)

>.05

Comorbidities

Lung Disease

31/453 (6.8%)

56/696 (8.0%)

0.452

Cardiac

63/453 (13.9%)

130/696 (18.6%)

0.032

DM

61/453 (13.4%)

95/696 (13.6%)

0.944

Smoking History

43/453 (9.4%)

66/696 (9.4%)

0.983

Renal

20/453 (4.4%)

25/696 (3.5%)

0.485

ETOH

10/453 (2.2%)

13/696 (1.8%)

0.688

Depression

275/453 (60.7%)

393/696 (56.3%)

0.138

Table 3: Subanalysis of readmission by antidepressant class

Discussion

Patients taking any class of AD medication were readmitted at 30-days for all causes at a significantly greater rate than AD naïve patients (5.3% v. 2.6%, p<0.001) (Table 1). This group of patients also demonstrated a significantly greater risk for 30-day mechanical complications (2.3% v. 1.2%, p=0.014) and 60-day non-mechanical complications (1.6% vs 0.7%, p=0.024) as well. Within cohort analysis, individual medication classes did not reveal any significant influence on readmissions, regardless of readmission cause. Gender, however, was a significant factor regardless of AD class. Females taking any AD medication were readmitted significantly more often than males for mechanical complications within 30-days of their procedure (3.2% v. 0%, p=0.009). Readmissions after THA procedures are of importance to both the patient and hospital alike. Hospitals hope to produce efficient, quality care for their patients while patients look to achieve a speedy, uncomplicated recovery from their surgery. As the population continues to age, the number of total hip arthroplasty will continue to increase.3 Similarly, it has been found that between 2015-2018 13.2% of the adults aged 18 and over used antidepressant medications in the past 30 days, and that use was higher in women compared to men (17.7% vs 8.4%). Further, during the same period, antidepressant use increased with age, overall in both sexes and the use was highest among women aged 60 and over (24.3%.)12 As such, mental health needs need to be considered as a significant risk factor because mental illness and antidepressant use has significant impact on outcome of total joint arthroplasties [13-15].

Age accompanying psychiatric medications is a known important factor to consider in regard to surgical planning. The average age of the patients in our analysis was 66 years old, in line with the general age at which patients undergo arthroplasty procedures. Being of geriatric age and taking antidepressants pertains to increased risk as well. Pavon and colleagues looked at approximately 5,000 patients over the age of 60 admitted to their surgical service and demonstrated an increased risk for readmission for any cause within 90 days if taking antidepressants [16]. Similarly, Bovonratwet et al completed a study examining risk factors for 30-day readmission after outpatient total hip arthroplasty. In total, 5,245 patients were identified in the National Quality Improvement Program Database. The incidence of 30-day readmission after outpatient total hip arthroplasty was 1.6% with the primary risk factor being patient age (RR=2.3%, 95% CI=1.15-4.62.) [17]. Further, Cantrell et al. conducted a study reviewing the risk factors for readmission within thirty days following revision total hip arthroplasty. Utilizing the ACS-NSQIP database, 10,032 patients were identified that underwent a total hip arthroplasty between 2005 to 2018. Of those, 855 (8.5%) were readmitted within 30 days with increasing age being a significantly positive risk factor for 30 day readmission.18

Our results suggested that gender may also modulate a patient’s risk of readmission, as female patients taking AD medication were readmitted significantly more often for mechanical complications than other females not taking AD medication, regardless of its class as shown in table 1. Inacio et. al reported on a similar phenomenon, demonstrating that females undergoing THA are at greater risk for implant failure and revision at 5 years post-op than men [19].  

Overall, our study illustrated how patients taking any class of AD medication are at significantly greater risk for a short-term readmission, particularly from mechanical complications at 30-days, and non-mechanical complications at 60-days (Table 1). No specific class of AD medication was shown to pose a greater risk of readmission after THA (Table 3). This finding was similar to the findings of Jorgensen et al. They completed a multicenter study with prospective registration on preoperative comorbidity, 30 and 90 day followup, and information on dispensed prescriptions on psychopharmacological treatment. They identified 8,757 patients who underwent total hip or total knee arthroplasty and found 1,001 (11.4%) had a psychiatric disorder. Of those, 43.4% used SSRIs, and 31.6% used other antidepressants. Similar to the the results of our study (Table 1 and Table 3), patients with a history of psychiatric disorder as well as taking any form of antidepressant were at an increased risk of 30 and 90 day readmission [20]. Similarly, Knapp et al evaluated the readmission rates of patients undergoing total hip or knee arthroplasty with the diagnoses of anxiety or depression based on psychopharmacologic therapy prescription. A total of 4,107 cases were included, of which 4.28% had a readmission within 90 days [21]. The findings of our study as well as knapp et all are in line with several other studies that demonstrated patients with diagnoses of depression, anxiety have shown inferior outcomes and increased risk of readmission [10,22-26].

Ample literature implores physicians to consider educating their patients on how mental health and medication usage may affect recovery from a THA procedure.  Depression and baseline mental health, in general, has been shown to decrease patient outcomes across the board. Halawi et al. sought to clarify this effect and demonstrated how baseline mental health modulates the effect of depression on patient reported outcomes in TJA. Those exhibiting both poor baseline mental health and depression did not reach the threshold for good mental health at 1 year, despite having reported similar net gains in physical function to patients without depression [27]. Additionally, Greene et al. showed how AD use, regardless of class, was associated with more perceived pain and reduced measures of Health-Related Quality of Life following THA [28]. One could postulate that even with good physical results, if patients on ADs are still in pain and unhappy with their outcomes, complications naturally could arise.

Those involved with the orthopedic team should be diligent when gathering a past medical history of the patient, and should be attentive to the patient's mental health. Questionnaires, such as the patient health questionnaire 9, should be applied to screen for at risk patients. Pan et al demonstrated that mental health questionnaires may be applied as they may more accurately determine at-risk patients than either prior depression, anxiety or medication history due to undiagnosed or untreated disease [24]. Medical teams should implement targeted interventions to lower rates of readmission in at-risk patients through telephone calls to encourage medications compliance, and a more complex psychosocial intervention [29]. Gilbody et al. demonstrated this through a meta-analysis of 37 randomized studies which 12,355 patients with depression receiving primary care to quantify the short and long term effectiveness of collaborative care in patients with depression. They concluded that depression outcomes were improved at 6 months (standardized mean difference, .25; 95% confidence interval, .18-.32) and evidence of long-term benefit for up to 5 years (standardized mean difference, .15; .95% confidence interval, 0.001-0.31) [29]. The findings of Gilbody et al can be seen in a study by Kohring et al. They found that in patients with depression who underwent total joint arthroplasty who were “untreated” had a lower magnitude of change in physical function score [30].

We recognize there are several limitations to this study, the most obvious of which is its retrospective nature subjecting results to sampling bias and misclassification bias, the latter of which is important in establishing our study group of patients taking a form of antidepressant. We suggested the presence of an antidepressant medication in the encounters billing abstract, which could have potentially led to misclassification and provided no information regarding patient history with AD medications. Table 1, which demonstrates how patients taking any form of AD presented with significantly more comorbidities than the control group, should also be taken into consideration in the review of our results as it may lend itself to the significant difference in non-mechanical readmissions at 60 days between the two groups. Another factor that may have affected the significance of readmission rates is the sample sizes between each group. There were far more female patients in this study than male patients. Depression is known to be more prevalent in women than in men, and this coupled with osteopenia’s propensity to affect women, is a selection bias which could have skewed our results. Further research will need to be done to determine a more significant link between the use of AD medications, and TJA readmissions as well as the exact cause of such medications on readmissions. TJA patients should also be counseled on the potential risks of AD medications on readmission.

Conclusion

As the population continues to age, the number of total joint arthroplasties is expected to increase. Along similar lines, the prevalence of those with mental health disorders is expected to rise concurrently with an increase in antidepressant medication prescription. Our study demonstrates that patients that are female and taking antidepressants are at an increased risk of readmission following total hip arthroplasty. Medical teams need to be cognisant of patients taking antidepressants for mental health who are presenting for potential total hip arthroplasty.

References

  1. McDermott KW (IBM Watson Health), Freeman WJ (AHRQ), Elixhauser A (AHRQ). Overview of Operating Room Procedures During Inpatient Stays in U.S. Hospitals, 2014. HCUP Statistical Brief #233. December 2017. Agency for Healthcare Research and Quality, Rockville, MD.
  2. Pollock M, Somerville L, Firth A, et al. Outpatient total hip arthroplasty, total knee arthroplasty, and unicompartmental knee arthroplasty: a systematic review of the literature. JBJS Rev 4 (2016): e4.
  3. Kurtz S, Ong K, Lau E, et al. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am 89 (2007): 780-785.
  4. Vespa, Jonathan, Lauren M, et al. Demographic Turning Points for the United States: Population Projections for 2020 to 2060. Current Population Reports, P25-1144, U.S. Census Bureau, Washington, DC (2020).
  5. Movig KL, Janssen MW, De waal J, et al. Relationship of serotonergic antidepressants and need for blood transfusion in orthopedic surgical patients. Arch Intern Med 163 (2003): 2354-2358.
  6. Seitz DP, Bell CM, Gill SS, et al. Risk of perioperative blood transfusions and postoperative complications associated with serotonergic antidepressants in older adults undergoing hip fracture surgery. J Clin Psychopharmacol 33 (2013): 790-798.
  7. Tavakoli HR, DeMaio M, Wingert NC, et al. Serotonin reuptake inhibitors and bleeding risks in major orthopedic procedures. Psychosomatics 53 (2012): 559-565.
  8. Dall M, Primdahl A, Damborg F, et al. The association between use of serotonergic antidepressants and perioperative bleeding during total hip arthroplasty- a cohort study. Basic Clin Pharmacol Toxicol 115 (2014): 277-281.
  9. Pratt LA, Brody DJ, Gu Q. Antidepressant use among persons aged 12 and over: United States, 2011-2014. NCHS data brief, no 283. Hyattsville, MD: National Center for Health Statistics (2017).
  10. Gold HT, Slover JD, Joo L, et al. Association of Depression With 90-Day Hospital Readmission After Total Joint Arthroplasty. J Arthroplasty 31 (2016): 2385-2388.
  11. Ahn A, Snyder DJ, Keswani A, et al. The Cost of Poor Mental Health in Total Joint Arthroplasty. J Arthroplasty (2020).
  12. Brody D, Gu Q. Antidepressant use among adults: United States, 2015-2018. National Center for Health Statistics. NCHS Data Brief No. 377, September (2020).
  13. Kamaruzaman H, Kinghorn P, Oppong R. Cost-effectiveness of surgical interventions for the management of osteoarthritis: a systematic Review of the literature. BMC Musculoskelet Disord 18 (2017): 183
  14. Etkin C, Springer B. The American joint replacement registry- the first 5 years. Arthroplasty Today 3 (2017): 67.
  15. Mayfield C, Haglin J, Levine B, et al. Medicare reimbursement for hip and knee arthroplasty from 2000 to 2019: an unsustainable trend. J Arthroplasty (2019).
  16. Pavon JM, Zhao Y, McConnell E, et al. Identifying risk of readmission in hospitalized elderly adults through inpatient medication exposure. J Am Geriatr Soc 62 (2014): 1116-1121.
  17. Bovonratwet P, Chen A, Shen T, et al. What are the reasons and risk factors for 30-day Readmission after outpatient total hip arthroplasty? J Arthroplasty 36 (2021): S258-S263.
  18. Cantrell C, Debell H, Lehtonen E, et al. Risk factors for readmission within thirty days following revision total hip arthroplasty. J Clin Orthop Trauma 11 (2020): 38-42.
  19. Inacio MCS, Ake CF, Paxton EW, et al. Sex and risk of hip implant failure: assessing total hip arthroplasty outcomes in the united states. JAMA Intern Med 173 (2013): 435.
  20. Jorgensen C, Knop J, Nordentoft M, et al. Foundation Centre for Fast-track Hip and Knee Replacement Collaborative Group. Psychiatric Disorders and Psychopharmacologic treatment as risk factors in elective fast-track total hip and knee arthroplasty. Anesthesiology 123 (2015): 1281-1291.
  21. Knapp P, Layson J, Mohammad W, et al. The Effects of Depression and Anxiety on 90-day readmission rates after total hip and knee arthroplasty. Arthroplast Today 10 (2021): 175-179.
  22. Blackburn J, Qureshi A, Amirfeyz R, et al. Does preoperative anxiety and depression predict satisfaction after total knee replacement? Knee 19 (2012): 522
  23. Ali A, Lindstrand A, Sundberg M, et al. Preoperative anxiety and depression correlate with dissatisfaction after total knee arthroplasty: a prospective longitudinal cohort study of 186 patients, with 4-year follow-up. J Arthroplasty 32 (2017): 767.
  24. Pan X, Wang J, Lin Z, et al. Depression and anxiety are risk factors for postoperative pain-related symptoms and complications in patients undergoing primary total knee arthroplasty in the United States. J Arthroplasty. 34 (2019): 2337
  25. Ricciardi B, Oi K, Daines S, et al. Patient and perioperative variables affecting 30-day readmission for surgical complications after hip and knee arthroplasties: a matched cohort study. J Arthroplasty 32 (2017): 1074
  26. Ali A, Loeffler M, Aylin P, et al. Predictors of 30-day readmission after total knee arthroplasty: analysis of 566,323 procedures in the United Kingdom. J Arthroplasty (2019): 34.
  27. Halawi MJ, Cote MP, Singh H, et al. The effect of depression on patient-reported outcomes after total joint arthroplasty is modulated by baseline mental health: a registry study. The Journal of Bone and Joint Surgery 100 (2018): 1735-1741.
  28. Greene ME, Rolfson O, Gordon M, et al. Is the use of antidepressants associated with patient-reported outcomes following total hip replacement surgery? Acta Orthop 87 (2016): 444-451.
  29. Gilbody S, Bower P, Fletcher J, et al. Collaborative care for depression: a cumulative meta-analysis and review of longer term outcomes. Arch Intern Med 166 (2006): 2314-2321.
  30. Kohring JM, Erickson JA, Anderson B, et al. Treated versus untreated depression in total joint arthroplasty impacts outcomes. J Arthroplasty 33 (2018): S81.

© 2016-2024, Copyrights Fortune Journals. All Rights Reserved