Eric M. Padegimas
Thomas Jefferson University Hospital
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Featured researches published by Eric M. Padegimas.
Journal of Shoulder and Elbow Surgery | 2015
Eric M. Padegimas; Mitchell Maltenfort; Matthew L. Ramsey; Gerald R. Williams; Javad Parvizi; Surena Namdari
BACKGROUND Periprosthetic joint infection (PJI) is a major cause of morbidity after shoulder arthroplasty. PJI epidemiology has not been well studied. We aimed to analyze the historical incidence, predisposing factors, and economic burden of PJI after shoulder arthroplasty in the United States. METHODS Primary shoulder arthroplasty patients were identified by the International Classification of Diseases, Ninth Revision, Clinical Modification codes 81.80 (total shoulder arthroplasty), 81.81 (hemiarthroplasty), and 81.88 (reverse arthroplasty) in the Nationwide Inpatient Sample from 2002 to 2011. PJI was identified by codes 80.01 (arthrotomy for device removal) and 996.66 (prosthetic infection). Multivariate logistic regression analysis was used to identify predisposing factors for PJI. RESULTS PJI rate was 0.98% from 2002 to 2011 and did not vary significantly. Comorbidities associated with PJI were weight loss/nutritional deficiency (odds ratio [OR], 2.62; 95% confidence interval [CI], 1.53-4.51; P = .00047), drug abuse (OR, 2.38; 95% CI, 1.41-4.02; P = .0011), and anemia from blood loss (OR, 2.43; 95% CI, 1.50-3.93; P = .00031) or iron deficiency (OR, 2.05; 95% CI, 1.69-2.49; P < .0001). Demographic factors associated with PJI were younger age (OR, 1.020; 95% CI, 1.017-1.024; P < .0001) and male gender (OR, 1.961; 95% CI, 1.816-2.117; P < .0001). In 2011, median hospitalization costs for PJI were
Journal of Bone and Joint Surgery-british Volume | 2016
Eric M. Padegimas; C. T. Clyde; Benjamin Zmistowski; Camilo Restrepo; Gerald R. Williams; S. Namdari
17,163.57 compared with
Journal of Shoulder and Elbow Surgery | 2016
Eric M. Padegimas; Benjamin Zmistowski; Corey T. Clyde; Camilo Restrepo; Joseph A. Abboud; Mark D. Lazarus; Matthew L. Ramsey; Gerald R. Williams; Surena Namdari
16,132.68,
Journal of Shoulder and Elbow Surgery | 2017
Eric M. Padegimas; Cassandra Lawrence; Alexa Narzikul; Benjamin Zmistowski; Joseph A. Abboud; Gerald R. Williams; Surena Namdari
13,955.83, and
Journal of Bone and Joint Surgery, American Volume | 2016
Eric M. Padegimas; Kushagra Verma; Benjamin Zmistowski; Richard H. Rothman; James J. Purtill; Michael J. Howley
20,007.87 for total shoulder arthroplasty, hemiarthroplasty, and reverse arthroplasty, respectively. CONCLUSION Increasing incidence of shoulder arthroplasty and a constant infection rate will result in greater overall PJI burden. Whereas hospitalization costs for PJI are comparable to those of primary arthroplasty, they are incurred after the original cost of shoulder arthroplasty. Certain identifiable patient variables correlate with higher PJI rates. Risk factor modification may decrease PJI incidence and help contain costs.
Journal of Shoulder and Elbow Surgery | 2017
Eric M. Padegimas; Benjamin A. Hendy; Cassandra Lawrence; Richard Devasagayaraj; Benjamin Zmistowski; Joseph A. Abboud; Mark D. Lazarus; Gerald R. Williams; Surena Namdari
AIMS Currently, there is little information about the need for peri-operative blood transfusion in patients undergoing shoulder arthroplasty. The purpose of this study was to identify the rate of transfusion and its predisposing factors, and to establish a blood conservation strategy. METHODS We identified all patients who had undergone shoulder arthroplasty at our hospital between 1 January 2011 and 31 December 2013. The rate of transfusion was determined from the patients records. While there were exceptions, patients typically underwent transfusion if they had a level of haemoglobin of < 7.5 g/dl if asymptomatic, < 9.0 g/dl if they had a significant cardiac history or symptoms of dizziness or light headedness. Multivariable regression analysis was undertaken to identify predictors of transfusion. High- and low-risk cohorts for transfusion were identified from a receiver operating characteristic (ROC) curve. RESULTS Of 1174 shoulder arthroplasties performed on 1081 patients, 53 cases (4.5%) required transfusion post-operatively. Predictors of blood transfusion were a lower pre-operative haematocrit (p < 0.001) and shoulder arthroplasty undertaken for post-traumatic arthritis (p < 0.001). ROC analysis identified pre-operative haematocrit of 39.6% as a 90% sensitivity cut-off for transfusion. In total 48 of the 436 (11%) shoulder arthroplasties with a pre-operative haematocrit < 39.6% needed transfusion compared with five of the 738 (0.70%) shoulder arthroplasties with a haematocrit above this level. DISCUSSION We found that transfusion was needed less frequently than previously described for shoulder arthroplasty. Patients with a pre-operative haematocrit < 39.6% should be advised that there is an increased risk for blood transfusion, while those with a haematocrit above this level are unlikely to require transfusion. TAKE HOME MESSAGE The rate of transfusion after shoulder arthroplasty is under 5%, and those with a pre-operative haematocrit greater than or equal to 39.6% have a very low likelihood (< 1%) of requiring a transfusion.
Foot and Ankle Specialist | 2017
David Beck; Eric M. Padegimas; David I. Pedowitz; Steven M. Raikin
BACKGROUND One potential avenue for the realization of health care savings is reduction in hospital length of stay (LOS). Initiatives to reduce LOS may also reduce infection and improve patient satisfaction. We compare LOS after shoulder arthroplasty at an orthopedic specialty hospital (OSH) and a tertiary referral center (TRC). METHODS A single institutional database was used to retrospectively identify all primary shoulder arthroplasties performed between January 1, 2013, and July 1, 2015, at the OSH and TRC. Manually matched cohorts from the OSH and TRC were compared for LOS and readmission rate. RESULTS There were 136 primary shoulder arthroplasties performed at the OSH matched with 136 at the TRC during the same study period. OSH and TRC patients were similar in age (P = .949), body mass index (P = .967), Charlson Comorbidity Index (P = 1.000), gender (both 52.21% male), procedure (69.12% total shoulder arthroplasty, 7.35% hemiarthroplasty, and 23.53% reverse shoulder arthroplasty), insurance status (P = .714), and discharge destination (P = .287). Despite equivalent patient characteristics, average LOS at the OSH was 1.31 ± 0.48 days compared with 1.85 ± 0.57 days at the TRC (t = 8.41, P < .0001). Of the 136 OSH patients, 3 (2.2%) required transfer to a TRC. Readmission rates for the OSH patients (2/136, 1.5%) and TRC patients (1/136, 0.7%) were similar (z = 0.585, P = .559). CONCLUSION LOS at the OSH was significantly shorter than at the TRC for a strictly matched cohort of patients. This may be a result of fast-track rehabilitation and strict disposition protocols at the OSH. With rising shoulder arthroplasty demand, utilization of an OSH may be a safe avenue to delivery of more efficient and effective orthopedic care.
Journal of Arthroplasty | 2016
Julie Shaner; Ammar R. Karim; David S. Casper; Christopher J. Ball; Eric M. Padegimas; Jess H. Lonner
BACKGROUND The clinical implications and treatment of unexpected positive cultures (UPCs) in revision shoulder arthroplasty are not well defined. The purpose of this study was to describe results of patients with and without UPCs after revision shoulder arthroplasty. METHODS A single institutional database was used to retrospectively identify all revision shoulder arthroplasties performed between January 1, 2011, and December 31, 2013. Patients with preoperative suspicion of infection were excluded. Multivariable regression analysis was used to identify risk factors for future surgery after revision shoulder arthroplasty. RESULTS There were 117 revision shoulder arthroplasties without preoperative suspicion of infection. There were 28 of 117 (23.9%) with UPCs, of which 15 (57.1%) were Propionibacterium acnes; 18 of 28 (64.3%) patients received antibiotics for 6 weeks postoperatively without complications compared with 10 of 28 (35.7%) who received a routine 2-week empirical antibiotic regimen; 2 of 28 (7.1%) patients with UPCs required future surgery, and only 1 (3.6%) had a recurrent infection. Comparatively, 18 of 89 (20.2%) patients without UPCs (P = .109) required 25 additional surgeries. Average time to UPC was 4.3 years after index revision. Multivariable regression analysis of patient demographics, comorbidities, surgical procedure, and presence of UPCs found no independent predictors of reoperation. DISCUSSION Nearly one-quarter of our institutions revision shoulder arthroplasties had UPCs. The patients without UPCs had a nonsignificantly higher risk of reoperation compared with those with UPCs. We did not identify clinical or demographic variables that independently correlated with reoperation. Further study will be necessary to determine the true clinical benefit of routine culture acquisition in cases with low suspicion for prosthetic joint infection.
Orthopedic Clinics of North America | 2015
Eric M. Padegimas; Asif M. Ilyas
BACKGROUND Total joint arthroplasty is a large and growing part of the U.S. Medicare budget, drawing attention to how much providers are paid for their services. The purpose of this study was to examine the variables that affect total joint arthroplasty reimbursement. Along with standard economic variables, we include unique health-care variables. Given the focus on value in the Affordable Care Act, the model examines the relationship of the quality of care to total joint arthroplasty reimbursement. We hoped to find that reimbursement patterns reward quality and reflect standard economic principles. METHODS Multivariable regression was performed to identify variables that correlate with Medicare reimbursement for total joint arthroplasty. Inpatient charge or reimbursement data on Medicare reimbursements were available for 2,750 hospitals with at least 10 discharges for uncomplicated total joint arthroplasty from the Centers for Medicare & Medicaid Services (CMS) for fiscal year 2011. Reimbursement variability was examined by using the Dartmouth Atlas to group institutions into hospital referral regions and hospital service areas. Independent variables were taken from the Dartmouth Atlas, CMS, the WWAMI (Washington, Wyoming, Alaska, Montana, Idaho) Rural Health Research Center, and the United States Census. RESULTS There were 427,207 total joint arthroplasties identified, with a weighted mean reimbursement of
Clinics in Orthopedic Surgery | 2017
Eric M. Padegimas; Alexia Narzikul; Cassandra Lawrence; Benjamin A. Hendy; Joseph A. Abboud; Matthew L. Ramsey; Gerald R. Williams; Surena Namdari
14,324.84 (range,