Translate this page into:
Methylprednisolone after shoulder arthroplasty leads to decreased opioid prescriptions without an increased risk of infection: A matched cohort analysis
⁎Corresponding author: Tej Joshi. tejpjoshi@gmail.com
-
Received: ,
Accepted: ,
This article was originally published by Reed Elsevier India Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.
Abstract
Abstract
Due to the increasing demand for total shoulder arthroplasty, safe opioid stewardship paired with appropriate pain management is imperative for long-term patient care. A recent study has shown the potential for methylprednisolone use in the peri-operative period in order to decrease opioid consumption postoperatively.
The large TriNetX database was queried to identify all patients who were methylprednisolone naïve that underwent total shoulder arthroplasty with a minimum follow-up of 3 months. These patients were then further separated into two cohorts – those who received post-operative methylprednisolone within 7 days of the arthroplasty procedure and those who did not. After 1:1 propensity score matching, 1304 patients were included in each cohort for analysis. The primary outcome was opioid prescription within the 30- and 90-day postoperative period. Additional hospitalization, surgical, and medical outcomes were analyzed at 30-day, 90-day, 1-year, and 2-year time points.
For patients who received methylprednisolone, there were significantly fewer opioid prescriptions at 30 days (1.4 ± 1.6 versus 1.5 ± 1.8, p = 0.033) and 90 days (1.8 ± 2.3 versus 2.0 ± 3.4, p = 0.026). At both 30 and 90 day time points, there was no significant difference in the risk for medical complications like acute kidney injury, deep venous thrombosis, myocardial infarction, pulmonary embolism, pneumonia, urinary tract infection, glucose values, and A1C. between the two groups. At 1 year and 2 year time points, there was no significant difference in the risk of surgical complications like need for revision, prosthetic joint infection, surgical site infection, dislocation, wound complications, mechanical failure, periprosthetic fracture, and polywear/osteolysis.
Methylprednisolone use in the peri-operative period may lead to a decrease in the number of opioid prescriptions needed for patients post-operatively with no increased risk of surgical or medical complications. As opioids carry their own inherent risks, safe stewardship with multimodal pain regimens that include methylprednisolone may be beneficial in both the short and long term for patients.
Level III Retrospective Cohort Comparison Using Large Database Prognosis Study.
Keywords
Opioids
Methylprednisolone
Total shoulder arthroplasty
TriNetX
Corticosteroid
Multimodal pain control
1 Introduction
Total shoulder arthroplasty (TSA) has become an increasingly common procedure for patients with various shoulder pathologies, including glenohumeral arthritis, rotator cuff arthropathy, and proximal humerus fractures.1,2 Due to the increasing demand for this procedure, safe opioid stewardship paired with appropriate pain management is imperative for long-term patient care.1 Understanding this interplay is crucial due to the growing concern of the opioid epidemic within the United States.3 Superfluous prescription of opioids for pain control after surgery has become one of the leading causes of opioid dependence, as up to 13 % of opioid-naive surgical patients develop an addiction.3–5 Therefore, finding alternative methods for pain control in the postoperative setting is essential to reduce the risk of dependence while still adequately managing pain.
The use of perioperative corticosteroids is increasing across several orthopaedic subspecialties as it has been found to reduce postoperative pain along with nausea and vomiting.6 In the arthroplasty literature, opioid requirements in the postoperative setting have been shown to be minimized in patients who receive methylprednisolone following total knee and total hip arthroplasty.6–8 Their use has also been proven to have the same impact following distal radius fractures and intertrochanteric femur fractures without any increase in complications.9,10 This relationship between corticosteroid use and pain has also been found to be dose-dependent, with higher doses being associated with less pain and opioid usage.6,7 Not only have corticosteroids been found to reduce overall pain, but they also have been found to affect hospital length of stay along with several other morbidity markers.6,7
The use of corticosteroids in TSA has not been extensively studied. Post-operative multimodal pain control for TSA has most commonly included non-steroidal anti-inflammatory medications, muscle relaxants, and opioids in conjunction with anesthetic blocks.11 A recent randomized control study found that the use of methylprednisolone in combination with other forms of pain management reduced pain and opioid consumption.12 This study, however, was limited to a single institution and included a limited number of patients, 67, thus necessitating a broader study with a larger sample size to allow for more powered conclusions. However, limited further research exists on methylprednisolone use in TSA.
Our study aims to assess the use of methylprednisolone in the perioperative setting for total shoulder arthroplasty as it relates to postoperative opioid consumption in terms of number of prescriptions and analyze potential complications that may arise from its use. We hypothesize that patients who are given methylprednisolone will have reduced opioid requirements in the post-operative setting.
2 Materials and methods
2.1 Data source and study population
A retospective cohort study design was used to address opioid consumption (number of prescriptions) at various time points after total shoulder arthroplasty as the primary outcome. A large database of de-identified electronic medical records was utilized, TriNetX. The TriNetX Research Network provides access to electronic medical records (diagnoses, procedures, medications, laboratory values, genomic information) from approximately 144 million patients from 144 healthcare organizations, including those that are international. Data is acquired as discrete data elements or from natural language processing of medical notes and reports, which are syntactically harmonized into TriNetX servers followed by semantic harmonization to ensure consistency of data definitions. Cryptographic tokens are generated for each patient to ensure continuity across health systems and longitudinal data tracking within the larger data repository. All data is organized based on the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM), Current Procedural Terminology (CPT), and Systematized Nomenclature of Medicine Clinical Terms (SNOMED) codes. The database was queried to identify patients who underwent total shoulder arthroplasty occurring on or prior to January 2, 2024, to allow for the possibility of 1 year follow-up.
All data is in this study is organized based on the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM), Current Procedural Terminology (CPT), and prescription data. Because the database contains deidentified data and patient records, Institutional Review Board approval was not required.
Patients who underwent TSA at any time point prior to January 2, 2024 were identified utilizing CPT code 23472. Patients were excluded if they had any prior history of methylprednisolone use. Two cohorts were then established based on immediate peri-operative methylprednisolone use. The methylprednisolone cohort contained any patient with an associated prescription of methylprednisolone within 1 week of the index TSA procedure. Those who did not have an associated prescription were then grouped into the no methylprednisolone cohort. Finally, in order to establish a minimum follow-up of 90 days to capture any major complications within that time period, patients were excluded if they did not have any subsequent healthcare visit within 90 days of the TSA procedure. Patients were also excluded if they underwent any TSA for fracture.
2.2 Propensity matching
The TriNetX platform allows propensity matching in a 1:1 ratio, employing logistic regression. The platform uses greedy nearest-neighbor matching with a caliper of 0.1 pooled standard deviations to propensity match. In this study, propensity matching was used to balance certain potential confounding variables between the two groups. Included variables in the propensity match included demographics (age, ethnicity, race, sex), medical comorbidities (anxiety disorders, chronic lower respiratory disease, chronic kidney disease, depression, diabetes mellitus, fibromyalgia, and hypertension), and medication use (antidepressants, dexamethasone, opioids, sedatives/hypnotics). All variables after 1:1 propensity score matching were not significantly different between the two groups (Table I).
| Before Matching | After Matching | |||||
| MethylPred (n = 35,414) | MethylPred Naïve (n = 1310) | P value | MethylPred (n = 1304) | MethylPred Naïve (n = 1304) | P value | |
| Age (SD) | 68.5 (9.6) | 68.3 (9.7) | 0.627 | 68.5 (9.6) | 68.5 (9.6) | 0.956 |
| Sex, n (%) | ||||||
| Male | 550 (42.0) | 16095 (45.8) | 0.006 | 547 (41.9) | 555 (42.6) | 0.751 |
| Female | 677 (51.7) | 18196 (51.8) | 0.951 | 677 51.8) | 668 51.1) | 0.725 |
| Race | ||||||
| American Indian or Alaska Native | 10 (0.8) | 75 (0.2) | <0.001 | 10 (0.8) | 10 (0.8) | 1.000 |
| Asian | 34 (2.6) | 280 (0.8) | <0.001 | 32 (2.5) | 32 (2.5) | 1.000 |
| Black or African American | 92 (7.0) | 1932 (5.5) | 0.018 | 92 (7.1) | 87 (6.7) | 0.699 |
| Native Hawaiian or Other Pacific Islander | 10 (0.8) | 31 (0.1) | <0.001 | 10 (0.8) | 10 (0.8) | 1.000 |
| White | 1021 (78.0) | 28611 (81.5) | <0.001 | 1021 (78.3) | 1029 (78.9) | 0.702 |
| Other Race | 11 (0.8) | 774 (2.2) | <0.001 | 11 (0.8) | 14 (1.1) | 0.547 |
| Unknown Race | 141 (10.8) | 3407 (9.7) | 0.201 | 141 (10.8) | 133 (10.2) | 0.609 |
| Commodities, n (%) | ||||||
| Respiratory Disease | 223 (17.0) | 6798 (19.4) | 0.036 | 222 (17.0) | 243 (18.6) | 0.283 |
| CKD | 94 (7.2) | 3056 (8.7) | 0.054 | 93 (7.1) | 99 (7.6) | 0.653 |
| DM | 225 (17.2) | 6881 (19.6) | 0.031 | 224 (17.2) | 213 (16.3) | 0.564 |
| Hypertensive Disease | 681 (52.0) | 19564 (55.7) | 0.008 | 678 (52.0) | 692 (53.1) | 0.583 |
| Fibromyalgia | 35 (2.7) | 2161 (6.2) | <0.001 | 35 (2.7) | 32 (2.5) | 0.710 |
| Depression | 172 (13.1) | 6228 (17.7) | <0.001 | 172 (13.2) | 162 (12.4) | 0.558 |
| Anxiety | 166 (12.7) | 5717 (16.3) | <0.001 | 165 (12.7) | 159 (12.2) | 0.722 |
| Medications, n (%) | ||||||
| Antidepressants | 387 (29.6) | 11298 (32.2) | 0.047 | 386 (29.6) | 385 (29.5) | 0.966 |
| Opioid Analgesics | 800 (61.1) | 23940 (68.2) | <0.001 | 797 (61.1) | 798 (61.2) | 0.968 |
| Sedatives/Hypnotics | 553 (42.2) | 16155 (46.0) | 0.007 | 550 (42.2) | 549 (42.1) | 0.968 |
| Dexamethasone | 277 (21.2) | 9077 (25.9) | <0.001 | 276 (21.2) | 281 (21.5) | 0.811 |
2.3 Outcomes
Outcome measures were analyzed at 30-day, 90-day, 1-year, and 2-year time points. The primary outcome of this study was opioid utilization in the postoperative period at 30- and 90-days. The risk of opioid utilization, as well as the number of opioid prescriptions, were analyzed at each time point. Secondary outcomes included potential complications of methylprednisolone utilization, as well as surgical and medical complications. Overall outcomes included risk of readmission and emergency department visit within 30- and 90-days identified by CPT codes. Surgical outcomes identified by ICD-10-CM codes included risk of revision shoulder arthroplasty, prosthetic joint infection (PJI), dislocation, other mechanical complications, polywear and osteolysis, surgical site infection (SSI), wound disruption, and periprosthetic fracture at 1-year and 2-year time pints. Medical outcomes identified by ICD-10-CM codes included risk of myocardial infarction (MI), deep venous thrombosis (DVT), pulmonary embolism (PE), acute kidney injury (AKI), pneumonia, urinary tract infection (UTI), laboratory glucose values, and A1C at 30- and 90-days.
For patient protection and confidentiality, TriNetX reports any categorical outcomes with less than 10 patients as 10 for analysis. Results were reported with odds ratios (OR), 95 % confidence intervals (CI), and associated p values for categorical variables. For continuous variables, T-test was performed. Significance threshold for all results was set at p < 0.05.
3 Results
After the initial query on January 2, 2025, to include patients who had surgery at least 1 year prior, 36,724 patients were identified who had no prior history of methylprednisolone use and a minimum follow-up of 90 days. These patients were stratified into those who received methylprednisolone within the 7-day postoperative period and those who didn't (no methylprednisolone). The methylprednisolone group included 1310 patients, and the methylprednisolone group included 35,414 patients. After 1:1 propensity score matching, 1304 were established in each cohort for analysis.
3.1 Opioid utilization
At both 30- and 90-day time points, there was no difference in the risk of opioid utilization, measured as percentage of patients who required an opioid prescription, between the two cohorts (Table II). At 30-days, 942 (72.2 %) of patients in the methylprednisolone group had an associated opioid prescription compared to 933 (71.5 %) in the no methylprednisolone group (OR 1.035, CI 0.872–1.227, p = 0.695). At 90-days, 970 (74.4 %) of patients in the methylprednisolone group had an associated opioid prescription compared to 961 (73.7 %) in the no methylprednisolone group (OR 1.037, CI 0.870–1.235, p = 0.688).
| 30 days | 90 days | |||||||
| MethylPred (n = 1304) | MethylPred Naïve (n = 1304) | OR (95 % CI) | P Value | MethylPred (n = 1304) | MethylPred Naïve (n = 1304) | OR (95 % CI) | P Value | |
| Opioids | ||||||||
| Utilization | 942 (72.2) | 933 (71.5) | 1.035 (0.872–1.227) | 0.695 | 970 (7.4) | 961 (7.4) | 1.037 (0.870–1.235) | 0.688 |
| Rx Total | 1.4 (1.6) | 1.5 (1.8) | – | 0.033 | 1.8 (2.3) | 2.0 (3.4) | – | 0.026 |
| Readmission | 59 (4.5) | 62 (4.8) | 0.949 (0.659–1.368) | 0.780 | 80 (6.1) | 70 (5.4) | 1.152 (0.828–1.603) | 0.400 |
| ED Visit | 52 (4.0) | 39 (2.9) | 1.384 (0.904–2.118) | 0.133 | 93 (7.1) | 58 (4.4) | 1.650 (1.177–2.312) | 0.003 |
| Medical | ||||||||
| AKI | 13 (1.0) | 17 (1.3) | 0.762 (0.369–1.576) | 0.463 | 17 (1.3) | 19 (1.5) | 0.893 (0.462–1.727) | 0.737 |
| DVT | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 | 15 (1.2) | 13 (1.0) | 1.156 (0.548–2.438) | 0.704 |
| MI | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 |
| PE | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 |
| Pneumonia | 13 (1.0) | 10 (0.8) | 1.303 (0.569–2.982) | 0.530 | 21 (1.6) | 11 (0.8) | 1.924 (0.924–4.007) | 0.075 |
| UTI | 11 (0.8) | 10 (0.8) | 1.101 (0.466–2.601) | 0.827 | 23 (1.8) | 15 (1.2) | 1.543 (0.801–2.971) | 0.191 |
| Laboratory | ||||||||
| A1C | 6.3 (1.9) | 6.3 (1.1) | – | 0.933 | 6.4 (2.4) | 6.1 (0.9) | – | 0.235 |
| Glucose | 130.1 (36.8) | 128.6 (34.5) | – | 0.480 | 127.5 (37.9) | 125.9 (34.6) | – | 0.418 |
However, at both time points, those patients who did receive methylprednisolone had a significantly decreased number of opioid prescriptions. At 30 days, those in the methylprednisolone group received an average of 1.4 ± 1.6 opioid prescriptions compared to 1.5 ± 1.8 in the no methylprednisolone group (p = 0.033). At 90 days, those in the methylprednisolone group received an average of 1.8 ± 2.3 opioid prescriptions compared to 2.0 ± 3.4 in the no methylprednisolone group (p = 0.026).
3.2 Emergency department visits and readmissions
At both 30- and 90-days, there was no difference in the risk of readmission between the two cohorts (Table II). At 30 days, the risk of readmission for the methylprednisolone group was 4.5 % compared to 4.8 % in the methylprednisolone naïve group (OR 0.949, CI 0.659–1.368, p = 0.780). At 90 days, the risk of readmission for the methylprednisolone group was 6.1 % compared to 5.4 % in the methylprednisolone naïve group (OR 1.152, CI 0.828–1.604, p = 0.400).
At 30 days, there was no difference in the risk of emergency department (ED) visits between the two groups; however, at 90 days, those who received methylprednisolone had a higher likelihood of subsequent emergency department visits (Table II). At 30 days, the risk of an ED visit for the methylprednisolone group was 4.0 % compared to 2.9 % in the methylprednisolone naïve group (OR 1.384, CI 0.904–2.118, p = 0.133). At 90 days, the risk of an ED visit for the methylprednisolone group was 7.1 % compared to 4.4 % in the methylprednisolone naïve group (OR 1.650, CI 1.177–2.312, p = 0.003).
3.3 Surgical outcomes
At all time points, the two cohorts had no significant difference in risk of any of the reported surgical outcomes (Table III). Specifically, at 1 year, the risk of PJI for the methylprednisolone cohort and the methylprednisolone naïve cohort was 1.0 % and 1.5 %, respectively (OR 0.681, CI 0.335–1.385, p = 0.286). At the 2 year time point, the risk of PJI for the methylprednisolone cohort and the methylprednisolone naïve cohort was 1.6 % and 2.2 %, respectively (OR 0.720, CI 0.408–1.269, p = 0.253). The risk of revision at 1 year for the methylprednisolone cohort and the methylprednisolone naïve cohort was 2.5 % and 2.1 %, respectively (OR 1.228, CI 0.734–2.054, p = 0.433). At 2 years, the risk of revision for the methylprednisolone cohort and the methylprednisolone naïve cohort was 3.2 % and 2.9 %, respectively (OR 1.109, CI 0.710–1.731, p = 0.650).
| 1 year | 2 year | |||||||
| MethylPred (n = 1304) | MethylPred Naïve (n = 1304) | OR (95 % CI) | P Value | MethylPred (n = 1304) | MethylPred Naïve (n = 1304) | OR (95 % CI) | P Value | |
| Revision | 33 (2.5) | 27 (2.1) | 1.228 (0.734–2.054) | 0.433 | 42 (3.2) | 38 (2.9) | 1.109 (0.710–1.731) | 0.650 |
| PJI | 13 (1.0) | 19 (1.5) | 0.681 (0.335–1.385) | 0.286 | 21 (1.6) | 29 (2.2) | 0.720 (0.408–1.269) | 0.253 |
| SSI | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 |
| Dislocation | 23 (1.8) | 22 (1.7) | 1.046 (0.580–1.887) | 0.880 | 25 (1.9) | 29 (2.2) | 0.859 (0.501–1.475) | 0.582 |
| Wound Disruption | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 |
| Other Mechanical | 21 (1.6) | 19 (1.5) | 1.107 (0.592–2.069) | 0.750 | 29 (2.2) | 27 (2.1) | 1.076 (0.633–1.827) | 0.787 |
| Periprosthetic Fracture | 10 (0.8) | 12 (0.9) | 0.832 (0.358–1.933) | 0.668 | 13 (1.0) | 15 (1.2) | 0.865 (0.410–1.826) | 0.704 |
| Polywear/Osteolysis | 10 (0.8) | 0 (0) | – | – | 10 (0.8) | 10 (0.8) | 1.000 (0.415–2.411) | 1.000 |
3.4 Medical outcomes
At all time points, the two cohorts had no significant difference in risk of any of the reported medical outcomes (Table II). There was a trend toward increased risk of pneumonia at 90 days for those who received methylprednisolone (OR 1.924, CI 0.924–4.007, p = 0.075).
Additionally, available reported glucose and A1C values of patients at 30 and 90 days were not significantly different between the two groups (Table II).
4 Discussion
Perioperative corticosteroid use in total shoulder arthroplasty (TSA) is a promising intervention with the potential to optimize postoperative pain management and reduce opioid exposure. This study represents one of the largest multi-institutional analyses comparing outcomes between patients undergoing TSA with and without perioperative methylprednisolone. Our findings demonstrate that methylprednisolone is associated with a significant reduction in the number of opioid prescriptions at both 30- and 90-day time points without any increase in major surgical or medical complications, highlighting its potential to enhance postoperative pain management while maintaining patient safety.
Consistent with our hypothesis, patients who received methylprednisolone demonstrated a significant reduction in the number of opioid prescriptions at both 30- and 90-day time points despite no differences in the overall risk of opioid utilization between the two groups. In other words, this supports the argument that methylprednisolone may decrease opioid usage in the postoperative period. Although the same percentage of patients in both groups required opioid prescriptions, those who received methylprednisolone postoperatively required fewer opioid prescriptions. This finding aligns with prior studies demonstrating reduced opioid requirements in procedures like total knee and hip arthroplasty following methylprednisolone administration.13,14 The mechanism underlying this reduction is likely multifactorial. Corticosteroids reduce postoperative pain through their potent anti-inflammatory effects, suppressing proinflammatory cytokine production and reducing central and peripheral pain sensitization.15,16 Moreover, methylprednisolone may contribute to improved patient comfort by decreasing postoperative nausea and vomiting, common side effects of opioids that can exacerbate discomfort and limit opioid tolerance.17 These combined effects reduce the reliance on opioids and enhance the overall effectiveness of multimodal pain management.
Although the reduction in opioid prescriptions observed in this study may seem modest on an individual level, its impact at a population level could be substantial. Applied across the growing number of TSA procedures performed annually, even small decreases in opioid prescriptions could result in far fewer opioids in circulation, helping mitigate risks of misuse. By integrating methylprednisolone into multimodal pain management strategies alongside non-opioid analgesics and enhanced recovery protocols, shoulder surgeons can contribute to both improved patient outcomes and broader public health efforts to combat the opioid epidemic.
Importantly, the administration of methylprednisolone was not associated with an increased risk of surgical or medical complications, including prosthetic joint infection, revision surgery, or periprosthetic fracture. These findings align with previous studies in other orthopedic procedures, reinforcing the safety of corticosteroid use when administered appropriately. For example, a prior study on the use of methylprednisolone in total joint arthroplasty also demonstrated no significant increase in infection risk, suggesting that its immunosuppressive effects may be minimal in the perioperative setting when dosed appropriately.18 However, the trend toward a higher risk of pneumonia (p = 0.075) and an increased likelihood of emergency department visits both at the time point of 90 days postoperatively warrants further investigation. Although we do not see this same trend within the 30 day postoperative time point, it does exist at 90 days. Without any significant medical or surgical complications identified in this study, the drivers behind this increase in ED visits remain uncertain and may involve factors not captured in the current dataset. These unexplored variables could include patient-reported symptoms, anxiety, or other subjective concerns leading to precautionary ED utilization. Addressing these gaps will be crucial in future studies to better understand and mitigate this trend.
While this study provides valuable insights, several limitations should be acknowledged. First, the retrospective design and reliance on the TriNetX database introduce potential sources of bias, including misclassification and incomplete documentation. Although propensity score matching was employed to mitigate confounding, residual bias from unmeasured variables cannot be entirely excluded. Additionally, the database lacks granular clinical details such as pain scores, specific surgical techniques, or implant-related factors, which limits the ability to evaluate certain variables that may influence outcomes. One of the lack of details is whether or not patients who were given a prescription actually took the medication. Furthermore, the TriNetX privacy measure of reporting outcomes with fewer than 10 patients as N = 10 restricted statistical analysis of rare complications. Finally, we are only able to report on what is recorded in the retrospective review. The study is limited by the fact that we are unable to report on objective measures of opioid morphine milligram equivalent usage, as well as additional patient report outcome measures and pain scores that would further elucidate the role of methylprednisolone as an effective method to reduce post-operative pain. Despite these limitations, the large sample size and robust methodology strengthen the generalizability of the findings.
Future prospective studies are needed to confirm these findings and further elucidate the optimal dosing, timing, and patient selection criteria for methylprednisolone use in TSA. Additionally, investigations into the long-term outcomes of corticosteroid use, including its effects on joint health, function, and overall patient recovery, would provide a more comprehensive understanding of its benefits and risks. Studies focusing on specific subpopulations, such as patients with diabetes or significant comorbidities, may also help refine treatment protocols.
5 Conclusion
Methylprednisolone use in the peri-operative period may lead to a decrease in the number of opioid prescriptions needed for patients post-operatively with no increased risk of surgical or medical complications. As opioids carry their own inherent risks, safe stewardship with multimodal pain regimens that include methylprednisolone may be beneficial in both the short and long term for patients.
CRediT authorship contribution statement
Tej Joshi: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. Tuckerman Jones: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. Akhil Katakam: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. Daniella Ogilvie: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. Amanda Azer: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. Sefy A. Paulose: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. Balazs Galdi: Supervision, Conceptualization, Investigation, Methodology, Writing – review & editing.
Consent statement
This study was a retrospective database cohort analysis. No human subjects were directly involved, and all data were de-identified. As such, institutional review board (IRB) approval and informed consent were not required.
Disclaimer
The authors have not received grant support or research funding and have no conflicts of interest to declare.
Ethical statement
This study was a retrospective database cohort analysis. No human subjects were directly involved, and all data were de-identified. As such, institutional review board (IRB) approval and informed consent were not required.
Funding statement
The authors received no financial support for the research, authorship, and/or publication of this article.
References
- The incidence of shoulder arthroplasty: rise and future projections compared with hip and knee arthroplasty. J Shoulder Elb Surg. 2020;29:2601-2609.
- [Google Scholar]
- Shoulder arthroplasty: prosthetic options and indications. J Am Acad Orthop Surg. 2009;17:415-425.
- [Google Scholar]
- Risk of prolonged opioid use among opioid-naive patients following common hand surgery procedures. J Hand Surg Am. 2016;41:947-957.
- [Google Scholar]
- Perioperative systemic corticosteroids in modern total hip and knee arthroplasty: a primer for clinical practice. JBJS Rev. 2024;12
- [Google Scholar]
- Perioperative systemic dexamethasone reduces length of stay in total joint arthroplasty: a systematic review and meta-analysis of randomized controlled trials. J Arthroplast. 2021;36:1168-1186.
- [Google Scholar]
- The aahks best podium presentation research award: a second dose of dexamethasone reduces postoperative opioid consumption and pain in total joint arthroplasty. J Arthroplast. 2023;38:S21-S28.
- [Google Scholar]
- A prospective randomized controlled trial of methylprednisolone for postoperative pain management of surgically treated distal radius fractures. J Hand Surg Am. 2022;47:866-873.
- [Google Scholar]
- Effect of intravenous methylprednisolone on pain after intertrochanteric femoral fracture surgery. J Clin Diagn Res. 2014;8:GC01-4.
- [Google Scholar]
- Pain management strategies in shoulder arthroplasty. Orthop Clin N Am. 2018;49:81-91.
- [Google Scholar]
- Methylprednisolone taper is an effective addition to multimodal pain regimens after total shoulder arthroplasty: results of a randomized controlled trial: 2022 Neer Award winner. J Shoulder Elb Surg. 2024;33:985-993.
- [Google Scholar]
- Effect of high-dose preoperative methylprednisolone on pain and recovery after total knee arthroplasty: a randomized, placebo-controlled trial. Br J Anaesth. 2011;106:230-238.
- [Google Scholar]
- Effect of methylprednisolone on pain management in total knee or hip arthroplasty: a systematic review and meta-analysis of randomized controlled trials. Clin J Pain. 2018;34:967-974.
- [Google Scholar]
- The effect of pre-operative high doses of methylprednisolone on pain management and convalescence after total hip replacement in elderly: a double-blind randomized study. Int Orthop. 2021;45:857-863.
- [Google Scholar]
- Perioperative systemic steroid for rapid recovery in total knee and hip arthroplasty: a systematic review and meta-analysis of randomized trials. J Orthop Surg Res. 2017;12:100.
- [Google Scholar]
- Preoperative intravenous glucocorticoids can decrease acute pain and postoperative nausea and vomiting after total hip arthroplasty: a PRISMA-compliant meta-analysis. Medicine (Baltim). 2017;96
- [Google Scholar]
- Postoperative infection risk in total joint arthroplasty after perioperative IV corticosteroid administration: a systematic review and meta-analysis of comparative studies. J Arthroplast. 2021;36:3042-3053.
- [Google Scholar]

