Literature DB >> 35802778

Complications During the Hospital Stay, Length of Stay, and Cost of Care in Parkinson Patients Undergoing Total Knee Arthroplasty: A Propensity Matched Database Study.

Naga Suresh Cheppalli1, Tejas Senthil, Vishaal Sakthivelnathan, Anil Menedal, Varatharaj Mounasamy, Senthil Sambandam.   

Abstract

BACKGROUND: Patients with Parkinson disease (PD) undergoing total knee arthroplasty (TKA) can present with a unique subset of challenges during their hospital stay. The literature is limited to single-center studies with a small number of patients. This study was aimed to analyze the inpatient complications, length of stay (LOS), and cost of care (COC) associated after TKA with PD over 4 years (2016 to 2019).
METHODS: In this retrospective cohort study, we used National Inpatient Sample (NIS) database data from 2016 to 2019 and compared in-hospital complications, LOS, and COC among patients undergoing TKA with and without PD.
RESULTS: The National Inpatient Sample database is used to identify 558,371 patients (555,289 without PD and 3,082 with PD) who underwent TKA. After propensity-matching, there was an increased incidence of blood loss anemia (PD group 22.3%, control group 13.5%, P ≤ 0.01), periprosthetic dislocations (1.5% in PD group, 0.4% in control group, P < 0.001), and periprosthetic mechanical complications including but not limited to periprosthetic fractures, knee dislocations, patellar maltracking, and subluxations (1.1% in PD group, 0.6% in control group, P = 0.024) in the PD group. The other in-hospital complications including mortality, acute renal failure, myocardial infarction, pneumonia, pulmonary embolism, deep vein thrombosis, periprosthetic fracture, and wound dehiscence showed no notable differences. The average total incurred charges for the PD group were higher, with a mean of $67,581.58 (SD $44,554.64), than that in the control group, with a mean of $64,795.51 (SD $45,841.25) (P < 0.001). The average LOS was higher in the PD group with a mean of 2.7 days (SD = 1.93) compared with the control group (mean = 2.3, SD = 1.73 days, P < 0.001).
CONCLUSIONS: An increased incidence of complications such as acute blood loss anemia, periprosthetic mechanical complications, and increased COC, but no difference in LOS was noted in patients undergoing TKA with PD. This information can be useful to make an informed decision regarding patient care and preferred healthcare setup for TKA in patients with PD.
Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Orthopaedic Surgeons.

Entities:  

Mesh:

Year:  2022        PMID: 35802778      PMCID: PMC9273370          DOI: 10.5435/JAAOSGlobal-D-22-00121

Source DB:  PubMed          Journal:  J Am Acad Orthop Surg Glob Res Rev        ISSN: 2474-7661


The incidence of Parkinson disease (PD) among patients undergoing total knee arthroplasty (TKA) is 0.056%.[1] In an estimate, there will be 1,238,000 patients with PD by 2030,[2] and the incidence of TKA is expected to increase 143% by 2050.[3] With these statistics, it is anticipated that an increased number of patients with PD will be undergoing TKA in the near future. PD is a progressive neurodegenerative disease with decreased dopaminergic activity in the nigrostriatal pathway leading to a dysfunction of the basal ganglia. It is characterized by motor disturbances and cognitive impairment with multiple stages (modified Hoehn and Yahr staging and Columbia staging).[4] This disease is primarily characterized by tremor, bradykinesia, dystonia, postural changes, loss of balance, dizziness, and drooling and can involve other systems as well. Secondary to systematic involvement of the disease, it is anticipated that there will be an increased incidence of immediate postoperative complications, thus leading to increased length of stay (LOS) and cost of care (COC). In the era of bundled payment and outpatient TKA, this information can be useful for orthopaedic surgeons to make an informed decision regarding patient care and the place of patient care (hospital-based versus surgery center) and negotiate a contract with the payers. This study aimed to analyze the inpatient complications associated after TKA with PD over 4 years (2016 to 2019) using the National Inpatient Sample (NIS) database.

Methods

Database Description

This study was completed using the NIS database data from 2016 to 2019. The NIS database is a component of the Healthcare Cost and Utilization Project. It is the largest all-payer inpatient care database within the United States, with data from more than 7 million hospital stays per year. The data encompass 20% of the hospitals in the United States and are verified using a quality assessment evaluation comparing data points with standardized normative values by an independent contractor. Data elements within the NIS database include demographic data, LOS, payment source, hospital charges, discharge status, comorbidities, and more. The 2016 to 2019 version uses the International Classification of Diseases (ICDs), Tenth Revision, Clinical Modification/Procedure Coding System.

Data Acquisition

This study was exempt from IRB approval because the data were deidentified and publicly available. Patients who underwent TKA were identified using the ICD-10 procedural codes OSRC and OSRD. Data from patients with PD were extracted using the ICD code G20 (Table 1).
Table 1

International Classification of Disease Codes Used

Parkinson DiseaseObese CodesMorbidly Obese codesComorbidities codesMedical Complications codesSurgical Complications codes
G20E660E6601E6609E661E662E668E669Z6830Z6831Z6832Z6833Z6834Z6835Z6836Z6837Z6838Z6839Z6841Z6842Z6843Z6844Z6845Diabetes without complicationsE119Diabetes with complicationsE1169Tobacco-related disorderZ87891Acute renal failureN170, N171, N172, N178, and N179Myocardial infarctionI2101, I2102, I2111, I2113, I12114, I12119, I2121, I12129, and I21A1Blood loss anemiaD62PneumoniaJ189, J159, and J22Blood transfusion30233N1Pulmonary embolismI2602, I2609, I2692, and I2699DVTI82401,I82402, I82403, I82409, I82411, I82412, I82413, I82419, I82421, I82422, I82423, I82429, I82431, I82432, I82433, I82439, I82441, I82442, I82443, I82449, I82491, I82492, I82493, I82499, I824Y1, I824Y2, I824Y3, I824Y9, I824Z1, I824Z2, I824Z3, and I824Z4Periprosthetic fractureT84010A, T84011A, T84012A, T84013A, T84018A, T84019A, M9665, M96661, M96662, M96669, M96671, M96672, M96679, M9669, M9701XA, M9702XA,M9711XA, and M9712XAPeriprosthetic dislocationT84020A, T84021A, T84022A, T84023A, T84028A, and T84029APeriprosthetic mechanical complicationsT84090A, T84091A, T84092A, T84093A, T84098A, and T84099APeriprosthetic infectionT8450XA, T8451XA, T8452XA, T8453XA, T8454XA, and T8459XASuperficial SSIT8141XADeep SSIT8142XAWound dehiscenceT8130XA, T8131XA, and T8132XA
International Classification of Disease Codes Used Preoperative variables included (1) age, (2) sex, (3) elective versus nonelective admission, (4) diabetes without complications, (5) tobacco use disorder, and (6) obesity (Table 2). Postoperative medical and surgical outcomes aggregated from the NIS database include (1) LOS, (2) total incurred charges, (3) mortality, (4) elective versus nonelective admission, (5) acute renal failure, (6) myocardial infarction, (7) blood loss anemia, (8) pneumonia, (9) pulmonary embolism, (10) deep vein thrombosis, (11) periprosthetic fracture, (12) periprosthetic dislocation, (13) periprosthetic mechanical complication, (14) periprosthetic infection, (15) superficial surgical site infection, (16) deep surgical site infection, (17) wound dehiscence, (18) cardiac arrest and ventricular fibrillation, and (19) blood transfusion (Table 3). These complications are representative of the most common complications of TKA available on the NIS database.
Table 2

Patient Demographics

PD Group(3082)Control Group(555289)Odds Ratio (PD Group/Control Group)Odds Ratio 95% Confidence IntervalSignificance
Mean age (SD) in years71.44 (7.882)66.59 (9.507)NANAP < 0.001
Sex (proportion of female)1549 (50.3%)341871 (61.66)0.631[0.588, 0.677]P < 0.001
Diabetes without complication (proportion of diabetic)376 (12.2%)82008 (14.8%)0.801[0.719, 0.892]P <0.001
Tobacco use disorder (proportion of users)356 (11.6%)88013 (15.8%)0.693[0.621, 0.775]P <0.001
Obesity (proportion of obese)643 (20.9%)172018 (31.0%)0.587[0.538, 0.641]P <0.001
Table 3

Unmatched Analysis

Postoperative VariablesPD Group(3082)Control Group(555289)Odds Ratio (PD Group/Control Group)Odds Ratio 95% Confidence IntervalSignificance
Mortality0198 (0.04%)NANA0.294
Acute renal failure67 (2.2%)11018 (2.0%)1.0980.861-1.3990.451
Myocardial infarction0109 (0.02%)NANA0.437
Blood loss anemia587 (19.0%)84970 (15.3%)1.3021.19-1.425<0.001
Pneumonia12 (0.4%)1076 (0.2%)2.0131.139-3.560.014
Pulmonary embolism[b]0.2%1231 (0.2%)1.0250.487-2.1560.949
Deep vein thrombosis11 (0.4%)1251 (0.2%)1.5860.875-2.8750.125
Periprosthetic fracture18 (0.6%)2345 (0.4%)1.3850.870-2.2060.168
Periprosthetic dislocation47 (1.5%)4215 (0.8%)2.0251.515-2.705<0.001
Periprosthetic mechanical complication34 (1.1%)4470 (0.8%)1.3750.979-1.9300.065
Periprosthetic infection38 (1.2%)5764 (1.0%)1.1900.863-1.6410.287
Wound dehiscencea0.2%525 (0.09%)1.7170.711-4.1460.224
Blood transfusion68 (2.2%)8186 (1.5%)1.5081.185-1.919<0.001

The exact number is not reported if the value is between 1 to 10 as per the Healthcare Cost and Utilization Project data use agreement.

Patient Demographics Unmatched Analysis The exact number is not reported if the value is between 1 to 10 as per the Healthcare Cost and Utilization Project data use agreement.

Statistical Analysis

All statistical analyses were conducted using SPSS version 27.0 (IBM). Originally, descriptive statistics were used to aggregate patient demographic data. An unmatched analysis and matched analyses were completed. A 1:1 propensity-matching algorithm using the preoperative variables was performed. Student t-tests were used when analyzing numerical variables. Chi square analyses were used when analyzing binomial variables. Fisher exact tests were used when the incidence values were less than 5. A P value of < 0.05 was considered statistically significant for all tests. Odds ratios and their corresponding 95% confidence intervals for the surgical outcomes and complications were measured as a ratio of the incidence in the control group to the incidence in the PD group.

Results

A total of 558,371 patients who underwent TKA were identified using the NIS database. Within that population, 555,289 patients did not have PD and 3082 patients had PD (0.55%).

Demographic Data

PD group patients were older (mean = 71.4 years) compared with the control group patients (66.59 years), and this difference is statistically significant (P < 0.001) (Table 2). The PD group tended to have fewer female patients, 50.3%, than the female patients in the control group, 61.6% (P < 0.001). The tobacco-related disorder incidence was less in the PD group (10.3%) than in the control group (15.8%, P = 0.032). The other demographic variables were not significantly different among the two groups (Table 1).

Unmatched Postoperative Outcomes Analysis

The incidence of blood loss anemia was greater in the PD group, 19%, than in the control group, 15.3% (P < 0.001). The incidence of pneumonia was greater in the PD group, 0.3%, than in the control group, 0.1% (P = 0.014). The incidence of periprosthetic dislocation was greater in the PD group, 1.5%, than in the control group, 0.7% (P < 0.001). The incidence of blood transfusions was greater in the PD group, 3.9%, than in the control group, 1.5% (P = 0.004). The other postoperative outcomes showed no significant differences among the two groups in the unmatched analysis (Table 3). The average total incurred charges for the PD group were higher, with a mean of $67,581.58 and a SD of $44,554.64, than that for the control group, with a mean of $64,795.51 and a SD of $45,841.25 (P < 0.001). The average LOS was higher in the PD group with a mean of 2.7 days and a SD of 1.933 days compared with the control group mean of 2.3 days and a SD of 1.730 days (P < 0.001) (Table 4).
Table 4

Length of Stay and Cost of Care in Unmatched and Matched Cohorts

Unmatched PDUnmatched Control P Matched PDMatched Control P
Length of stay2.74 [1.730]2.34 [1.933]<0.0012.74 [1.730]2.94 [3.297]0.003
Hospital charges67581.58 [44554.640]64795.51 [45841.245]<0.00167581.58 [44554.640]46493.28 [71072.269]<0.001

PD = Parkinson disease

Length of Stay and Cost of Care in Unmatched and Matched Cohorts PD = Parkinson disease

Matched Postoperative Outcomes Analysis

The 1:1 propensity-matched algorithm yielded 3,082 patients in the PD group and 2,967 patients in the control group (Table 5). The incidence of blood loss anemia was greater in the PD group, 22.3%, than in the control group, 13.5% (P ≤ 0.01). The incidence of periprosthetic dislocations was greater in the PD group, 1.5%, than in the control group, 0.4% (P < 0.001). The incidence of periprosthetic mechanical complication was greater in the PD group, 1.1%, than in the control group, 0.6% (P = 0.024). The other postoperative outcomes showed no significant differences among the two groups in the matched analysis (Table 6).
Table 5

Patient Demographics of the Matched Cohort

PD Group (3082)Control Group (2967)Odds Ratio (PD Group/Control Group)Odds Ratio 95% Confidence IntervalSignificance
Mean age (SD) in years71.4471.04NANA0.074
Sex (proportion of female)154914980.992(0.896, 1.097)0.869
Diabetes without complications (proportion of diabetic)376 (12.2%)362 (12.2%)1.00(0.857, 1.166)0.999
Diabetes with complications18 (0.6%)17 (0.6%)1.019(0.524, 1.982)0.955
Tobacco use disorder (proportion of users)356 (11.6%)339 (11.4%)1.012(0.864, 1.186)0.879
Obesity (proportion of obese)643 (20.9%)621 (20.9%)0.996(0.880, 1.127)0.949
RaceWhiteBlackHispanicAsianNative American2543 (82.5%)99 (3.2%)206 (6.7%)55 (1.8%)16 (0.5%)2541 (85.6%)99 (3.3%)206 (6.9%)55 (1.9%)16 (0.5%)NANA1.000
Age categorical<6060-7070-8080-90>90222 (7.2%)998 (32.4%)1365 (44.3%)483 (15.7%)14 (0.5%)213 (7.2%)960 (32.4%)1319 (44.5%)462 (15.6%)13 (0.4%)NANA1.000

PD = Parkinson disease

Table 6

Matched Sample Analysis

Post Operative VariablesPD Group (3082)Control Group (2967)Odds Ratio (PD Group/Control Group)Odds Ratio 95% Confidence IntervalSignificance
Mortality0
Acute renal failure67 (2.2%)62 (2.1%)1.0410.734-1.4760.821
Myocardial infarction0[b]0.03%0.4900.478-0.6030.308
Blood loss anemia587 (19.0%)402 (13.5%)1.5011.307-1.724 <0.001
Pneumonia12 (0.4%)11 (0.4%)1.050.463-2.3840.906
Pulmonary embolism[b]0.2%[b]0.2%0.9630.337-2.7480.943
Deep vein thrombosis11 (0.4%)[b]0.3%1.1770.487-2.8450.717
Periprosthetic fracture18 (0.6%)[b]0.3%1.9310.866-4.3050.102
Periprosthetic dislocation47 (1.5%)12 (0.4%)3.8132.019-7.203 <0.001
Periprosthetic mechanical complication34 (1.1%)17 (0.6%)1.9361.079-3.472 0.024
Periprosthetic infection38 (1.2%)35 (1.2%)1.0460.659-1.6600.849
Wound dehiscencea(0.2%)10 (0.3%)0.4810.164-1.4070.172
Blood transfusion68 (2.2%)78 (2.6%)0.8360.601-1.1610.284

PD = Parkinson disease

The exact number is not reported if the value is between 1 to 10 as per the Healthcare Cost and Utilization Project data use agreement. Bold entries are statistically significant.

Patient Demographics of the Matched Cohort PD = Parkinson disease Matched Sample Analysis PD = Parkinson disease The exact number is not reported if the value is between 1 to 10 as per the Healthcare Cost and Utilization Project data use agreement. Bold entries are statistically significant. The average total incurred charges for the PD group were higher in the PD group, with a mean of $67,581.58 and a SD of $44,554.640, than in the control group, with a mean of $46,493.28 and a SD of $71,072.269 (P < 0.001). The average LOS was lower in the PD group, with a mean of 2.7 days and a SD of 1.730 days, than in the control group, with a mean of 2.9 days and a SD of 3.297 days (P = 0.101).

Discussion

This study revealed that PD incidence among patients undergoing TKA is 0.55% and has not markedly changed since 2000 to 2012.[1] We also observed that TKA with underlying PD is associated with an increased incidence of immediate postoperative complications such as acute blood loss anemia (ABLA), increased incidence of blood transfusion, increased COC, and increased knee prosthesis dislocation in the matched cohort analysis. Although we found statistically significant differences in LOS and the incidence of pneumonia in the unmatched cohort, we did not find a notable difference in the 1:1 matched cohort. The total blood loss after TKA is estimated to be around 300 to 500 mL and is mostly hidden.[5] However, several factors such as types of patient-related factors (age, if the patient is on anticoagulation medications), using tranexamic acid, anesthetic choice, tourniquet, surgical technique, prosthesis, and use of postoperative drain can influence the incidence of blood loss after TKA. In our study, we noted an increased incidence of ABLA (22.3%) in patients with PD when compared with the matched control group (13.5%) (P ≤ 0.01). Multiple medical and surgical factors related to PD can influence blood loss. It is hypothesized that medications used to treat PD can cause abnormalities in the coagulation-fibrinolysis process.[6] However, several other factors such as surgical exposure, increased surgical time (required to overcome the exposure secondary to rigidity of hamstrings), and implant choice (more use of revision and constrained prosthesis to balance the knee joint and avoid dislocations causes more blood loss[7]) may have a notable influence on this outcome. Patient LOS is frequently quoted as an outcome measure and compares between hospitals and surgeons. To strive in the competitive market, hospitals incorporated enhanced recovery pathways for the postoperative recovery period. Patients getting discharged in the morning leads to improved bed availability and lower cancellations in surgical patients, thereby highlighting the effect of even few hours of increased LOS.[8] Bed availability became more apparent during the COVID-19 pandemic when there were restrictions for elective surgeries. In the unmatched cohort, the average LOS was higher in the PD group with a mean of 2.7 days and a SD of 1.9 days compared with the control group mean of 2.3 days and a SD of 1.7 days (P < 0.001). However, in a matched cohort, the average LOS was lower in the PD group, with a mean of 2.7 days and a SD of 1.7 days, than in the control group, with a mean of 2.9 days and a SD of 3.2 days (P = 0.101). An increase in LOS can be multifactorial, including medical and logistic factors. An increased incidence of postoperative confusion, urinary retention, and respiratory infection secondary to aspiration pneumonia, failure of the knee extensor mechanism, dislocation, and patellar subluxation are some of the reported medical reasons which can increase LOS. Rehabilitation of a patient with PD can involve multiple specialists and more trained personnel. The coordination of care between all the teams can itself delay the discharge. General anesthesia opiates can increase the incidence of postoperative confusion and can be avoided whenever possible in these subsets of people.[9] Early neurological consultation can decrease LOS and improve outcomes. The stress of the surgery can aggravate the PD, and interventions such as dosing adjustments and narcotic management might help in reducing the LOS.[10] Postoperative dislocations after TKA are rare and were previously reported in PD. The incidence of periprosthetic dislocations was greater in the PD group, 1.5%, than in the control group, 0.4% (P < 0.001). The incidence of periprosthetic mechanical complications was greater in the PD group, 1.1%, than in the control group, 0.6% (P = 0.024). The cogwheel rigidity and unpredictable spasticity of hamstrings after the anesthesia is worn off, preoperative flexion contracture needing more soft-tissue releases, can predispose to the posterior dislocation of the knee prosthesis.[11] Using either cruciate retaining or semi or fully constrained prosthesis is recommended to avoid this catastrophic complication. Because the persons suffering from PD will be relatively less active, wear and other long-term concerns of the fully constrained prosthesis are minimized.[9] Treating preoperative flexion contracture, with physical therapy serial casting, is recommended.[12] However, a generalized statement cannot be made regarding the implant of choice in patients with PD presenting in various stages of disease and various levels of activity. The bundled payment model for total joint arthroplasty was introduced in 2012 to decrease the highly variable cost and quality associated with the fee-for-service payment model. The results of this model are promising; however, this can hinder access to care of patients with more comorbidities, especially when the cost of the care exceeds the reimbursement per episode of care.[13] The average total incurred charges for the PD group were higher, with a mean of $67,581.58 and a SD of $44,554.64, than that for the control group, with a mean of $46,493.28 and a SD of $71,072.26 (P < 0.001). The need for revision implants to avoid mechanical complications, prolonged surgical time for exposure, increased incidence of blood transfusions, and involving multiple specialist teams and personnel can add up to the increased cost per episode care in this subgroup. The incidence of pneumonia was greater in the PD group, 0.3%, than in the unmatched control group, 0.1% (P = 0.014). We think most of this could be secondary to aspiration pneumonia. Aspiration pneumonia is a cause for concern in patients with PD. This complication may be due to oropharyngeal dysphagia, decreased cough reflex, and oral dysfunction. These symptoms might exaggerate after narcotics administration. However, we did not find an increased risk of pneumonia in the matched cohort.[14] There is no statistically significant difference in the other immediate postoperative complications, such as mortality, acute myocardial infarction, pulmonary embolism, deep vein thrombosis, periprosthetic fracture, infection, and wound dehiscence, in the PD group, both matched and unmatched cohorts.

Limitations

Our study has limitations that are inherent to most database studies. Most databases retrospectively collect data and report them using current procedural terminology (CPT) or ICD codes. This process leads to the loss of granularity of the information and unavailability of important data such as laboratory values and functional scores. In addition, the accuracy of the data collected depends on the ability of the database to translate the clinical information correctly, subjecting the database to reporting errors and ICD coding errors. Another limitation was that only 20% of the hospitals in the United States were represented in the NIS database. However, considering the large size of the database and extensive reliance on complex ICD codes, it is safe to assume that this database is a fair representation of the population undergoing TAA at the national level. These data pertain only to the inpatient database and cannot completely estimate short-term or long-term clinical and functional outcomes of TKA in PD. Some of the patients could be discharged to rehabilitation facilities versus home, which can technically skew the real COC and LOS data. PD is a progressive neurodegenerative disease and has multiple stages. The patient's outcome can depend on which stage the patient presents, and this information cannot be generalized to patients with all stages of PD. Cost of care in the United States is multifactorial and mostly depends on the contracts with existing implant companies. Most of these contracts are not uniform throughout the United States. However, we used a large database yielding a cohort of 3082 patients with PD, which is difficult to achieve with any single-center study. We also matched the patients with PD to non-PD patients, thereby increasing the strength of the findings. We have analyzed immediate surgical complications, unlike some other database studies that reported all complications as one group. With outpatient total joint arthroplasty and bundled payment, it is important to consider immediate complications, and surgeons must carefully select patients accordingly.

Conclusion

This study concludes that there has been no notable increase in the incidence of PD in patients undergoing TKA since the last decade. There is an increased risk of ABLA, risks of increased blood transfusions, increased risk of prosthetic dislocations, and higher COC in a matched cohort and unmatched cohort. There is a notable increase in LOS and early postoperative pneumonia incidence in the unmatched cohort, but this trend is not observed in the matched cohort. There is no statistically increased risk of immediate early postoperative (inpatient) mortality, pulmonary embolism, DVT, periprosthetic fracture, infection, and wound dehiscence.
  13 in total

1.  Matched cohort analysis of peri-operative outcomes following total knee arthroplasty in patients with and without Parkinson's disease.

Authors:  Justin E Kleiner; Joseph A Gil; Adam E M Eltorai; Lee E Rubin; Alan H Daniels
Journal:  Knee       Date:  2019-06-04       Impact factor: 2.199

2.  Projected increase in total knee arthroplasty in the United States - an alternative projection model.

Authors:  M C S Inacio; E W Paxton; S E Graves; R S Namba; S Nemes
Journal:  Osteoarthritis Cartilage       Date:  2017-08-08       Impact factor: 6.576

3.  Recurrent posterior dislocation following primary posterior-stabilized total knee arthroplasty.

Authors:  M Erceg; A Maricević
Journal:  Croat Med J       Date:  2000-06       Impact factor: 1.351

Review 4.  Bundled Payments in Total Joint Replacement: Keeping Our Care Affordable and High in Quality.

Authors:  Alexander S McLawhorn; Leonard T Buller
Journal:  Curr Rev Musculoskelet Med       Date:  2017-09

5.  Correcting flexion contractures: getting it straight.

Authors:  Richard D Scott
Journal:  Orthopedics       Date:  2008-09       Impact factor: 1.390

6.  Total knee arthroplasty in patients with Parkinson's disease: impact of early postoperative neurologic intervention.

Authors:  Samir Mehta; Jonathan P Vankleunen; Robert E Booth; Paul A Lotke; Jess H Lonner
Journal:  Am J Orthop (Belle Mead NJ)       Date:  2008-10

Review 7.  Parkinson's disease.

Authors:  Andrew J Lees; John Hardy; Tamas Revesz
Journal:  Lancet       Date:  2009-06-13       Impact factor: 79.321

8.  Coagulation-fibrinolysis abnormalities in patients receiving antiparkinsonian agents.

Authors:  Yoshihiro Sato; Masahide Kaji; Norifumi Metoki; Hidemi Yoshida; Kei Satoh
Journal:  J Neurol Sci       Date:  2003-08-15       Impact factor: 3.181

9.  Risk and mortality of aspiration pneumonia in Parkinson's disease: a nationwide database study.

Authors:  Jun Hee Won; Seong Jun Byun; Byung-Mo Oh; Sang Jun Park; Han Gil Seo
Journal:  Sci Rep       Date:  2021-03-23       Impact factor: 4.379

Review 10.  Total Knee Arthroplasty In Patients With Parkinson's Disease- A Critical Analysis of Available Evidence.

Authors:  Munis Ashraf; Sruthi Priyavadhana; Senthil Nathan Sambandam; Varatharaj Mounasamy; Om Prakash Sharma
Journal:  Open Orthop J       Date:  2017-09-30
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