Literature DB >> 36082283

Total Joint Arthroplasty Should Not Be Delayed in Hepatitis C Patients After Successful Treatment Achieving a Sustained Viral Load.

Kyle H Cichos1, Eric Jordan2,3, Kian Niknam4, Antonia F Chen2,3, Erik N Hansen4, Gerald McGwin5, Elie S Ghanem1.   

Abstract

Background: Preoperative treatment recommendations and optimal time to perform total joint arthroplasty (TJA) in patients with hepatitis C virus after treatment completion for achieving best outcomes have not been elucidated. We aim to determine (1) if undetectable viral load (UVL) prior to TJA leads to decreased postoperative complication rates, specifically periprosthetic joint infection (PJI), and (2) if delaying TJA after treatment completion has benefit in decreasing PJI.
Methods: A retrospective review of all hepatitis C virus patients undergoing TJA at 3 academic tertiary care centers was conducted. A total of 270 TJAs performed from 2005 to 2019 were included, 125 with positive viral load at the time of surgery. The duration from completion of treatment regimen to TJA was recorded for the UVL cohort. The primary study outcome was PJI at 1-year follow-up. Secondary outcomes included in-hospital complications, mechanical revision TJA rates, and optimal time to TJA upon completion of treatment.
Results: Patients with positive viral load at the time of TJA had longer length of stay (3.9 vs 2.9 days, P < .0001) and a higher PJI rate at 1 year postoperatively (9% vs 2%, P = .02) than UVL patients. There was no difference of in-hospital complications or revision rates for mechanical etiologies. Delaying TJA after achieving a sustained virologic response did not impact PJI rates. Conclusions: Sustained UVL prior to TJA is critical to minimize PJI irrespective of the treatment regimen utilized. Surgery can be performed with lower complication rates any time after achieving sustained virologic response. Level of Evidence: Level III, prognostic retrospective cohort study.
© 2022 The Authors.

Entities:  

Keywords:  Hepatitis C; Outcomes; Periprosthetic joint infection; Total joint arthroplasty; Treatment; Viral load level

Year:  2022        PMID: 36082283      PMCID: PMC9445225          DOI: 10.1016/j.artd.2022.06.014

Source DB:  PubMed          Journal:  Arthroplast Today        ISSN: 2352-3441


Introduction

There are approximately 3 million people in the United States affected with hepatitis C virus (HCV) [1], many of which are asymptomatic with a variable spontaneous resolution rate where a patient’s immune system clears the virus [2]. The overall rate of HCV in patients undergoing total joint arthroplasty (TJA) is extremely low, but these numbers are expected to continue rising with improved medical treatments and consequent increase in lifespan [3]. According to large national database studies, patients with HCV with or without cirrhosis undergoing total hip or knee arthroplasty are at an increased risk of medical and surgical complications, especially periprosthetic joint infection (PJI) [[3], [4], [5]]. A recent meta-analysis revealed that patients with HCV had higher complication rates, increased mechanical revision rates, and longer length of stay (LOS) after TJA [6]. Prior to 2011, the standard HCV treatment consisted of peginterferon alfa-2a (or 2b) and ribavirin administered for 24-48 weeks but had a suboptimal success rate in curing patients, was associated with high treatment-related toxicity, and inevitably led to low patient compliance rates in treatment prior to elective TJA [7,8]. Direct acting antivirals (DAAs) have since been developed which are associated with fewer adverse side effects, shorter duration of treatment (approximately 12 weeks), and higher success rates (up to 99%) in achieving a sustained virologic response (SVR), defined as an undetectable RNA viral load (VL) 12 weeks after completing treatment [9,10]. A national focus and drive to treat patients with HCV using these novel DAAs ensued, including at the Veterans Affairs Hospitals where programs were developed to reduce HCV rates from 4.5% to 0.4% in the veteran population [11,12]. Consequently, a study conducted by Cancienne et al. determined that HCV patients who did not receive treatment prior to total knee arthroplasty had higher rates of both infection and aseptic revision 3 months following surgery, which renewed interest in optimizing this high-risk cohort prior to TJA [13]. A recent study by Bedair et al. concluded that HCV treatment irrespective of therapy modality (interferon or DAA) is essential prior to patients undergoing total hip arthroplasty as prevention for surgical complications, specifically PJI, despite the small cohort of only 42 total “treated” patients [14]. Of note, patients who completed their treatment but failed their therapy with persistent detectable VLs, many of which were treated with interferon, were included in the treated group, which skewed the results and underestimates the positive effect of treatment in preventing complications. A recent follow-up study concluded that patients with detectable VL at the time of TJA were prone to have longer operative time, extended LOS, and higher mechanical complications and infections than patients with undetectable VL (UVL) [15]. However, the previous study had some limitations and did not include relevant risk factors that play a confounding role in outcomes after surgery in HCV patients, particularly those related to the liver scores, fibrosis staging, and common comorbidities such as diabetes and inflammatory disease. We aim to determine if (1) UVL prior to TJA leads to decreased postoperative complication rates, specifically PJI, and (2) if delaying TJA after completion of treatment has a benefit in decreasing PJI rates.

Material and methods

We conducted a retrospective review, after obtaining institutional review board approval, of all patients diagnosed with HCV who underwent primary TJA between 2005 and 2019 at 3 academic tertiary care centers in the United States with specialized clinics dedicated for managing HCV patients. Revision TJA cases and primary simultaneous bilateral TJA were excluded from the cohort, while patients with multiple-staged primary TJAs were included, and the VL was noted prior to each TJA in such patients. Patients with a prior liver transplant history were included in our study. Only patients with available HCV VL prior to primary TJA were included. A minimum of 1-year follow-up was required, and mortality during follow-up was noted. After exclusion criteria, 270 primary TJAs performed on 226 patients were eligible for analysis. A total of 145 TJAs were performed with UVL prior to surgery, while 125 TJAs had a positive VL (PVL) at the time of surgery. Patient demographics, comorbidities including the presence of human immunodeficiency virus (HIV) and cirrhosis, HCV characteristics, perioperative variables, in-hospital outcomes, and postoperative outcomes including complications at 90 days and 1 year of follow-up were collected by medical record review. PJI was defined according to the Musculoskeletal Infection Society criteria [16]. HCV characteristics included VL (IU/mL), virus genotype, treatment medication (interferon and DAA), liver function tests, Model for End-Stage Liver Disease score [17,18], Child-Pugh Classification [19,20], liver fibrosis staging, and activity. The time duration (months) from a sustained UVL in patients who were successfully treated from the time of completion of treatment to TJA was recorded. Interferon was utilized in 54 patients while 92 patients received DAAs, including 61 (66%) ledipasvir/sofosbuvir, 20 (22%) sofosbuvir/ribavirin, 7 (8%) sofosbuvir/velpatasvir, 2 (2%) sofosbuvir/velpatasvir/voxilaprevir, 1 (1%) glecaprevir/pibrentasvir, and 1 (1%) elbasvir/grazoprevir. An additional 3 patients cleared HCV without treatment and had UVL at the time of TJA, while 121 patients had PVL at the time of TJA. Patients who were not able to achieve a SVR, defined as UVL for at least 12 weeks after completion of treatment [21], were considered as failed treatment, and for patients not receiving further therapy, their persistent PVL was documented prior to TJA. There was no difference between groups in having a failed prior viral therapy, with 6 (4%) patients failing prior therapy before receiving therapy that eventually resulted in UVL and 4 (3%) patients failing prior therapy with persistent PVL at the time of TJA.

Patient demographics and comorbidities

Patients with UVL at the time of TJA were significantly older (mean age 59.6 [8] vs 54.9 [11], P = .001) with higher rates of hepatocellular carcinoma (6% vs 1%, P = .02) and a history of liver transplant (11% vs 4%, P = .04) compared to PVL patients. There was no significant difference between the 2 groups in HIV and cirrhosis rates (Table 1). There were more black patients in the PVL group (47% vs 19%, P = .001) along with a higher rate of hemophilia (10% vs 3%, P = .02) and a history of hemarthrosis (10% vs 4%, P = .03).
Table 1

Patient demographics and comorbid conditions comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA.

Patient characteristicsAll HCV TJA (n = 270)Viral load undetectable (n = 145)Viral load positive (n = 125)P value
Sex, male, n (%)161 (60)81 (56)80 (64).21
Race, n (%)a
 White157 (57)98 (77)59 (50)<.0001
 Black81 (30)25 (19)56 (47)
 Other8 (3)5 (4)3 (3)
Age, y, mean (SD)57 (9)59.6 (8)54.9 (11)<.01
BMI, kg/m2, mean (SD)29.0 (5)29.5 (5)28.4 (6).03
Comorbid conditions, n (%)
Obesity95 (35)56 (39)39 (31).25
Hemophilia16 (6)4 (3)12 (10).02
Hemarthrosis18 (7)5 (4)13 (10).03
Prior liver transplant21 (8)16 (11)5 (4).04
Cirrhosis (total)60 (22)36 (25)24 (19).38
Compensated53 (20)31 (21)22 (18).26
Decompensated7 (3)5 (3)2 (2)
Hepatocellular carcinoma history10 (4)9 (6)1 (1).02
DM51 (19)28 (19)23 (18).88
Tobacco use116 (43)53 (37)63 (50).03
HTN178 (66)100 (69)78 (62).30
Hypothyroid25 (9)18 (12)7 (6).06
PVD23 (9)14 (10)9 (7).52
ESRD48 (18)25 (17)23 (18).87
Iron-deficiency anemia24 (9)13 (9)11 (9)1.00
CVA/Stroke21 (8)15 (10)6 (5).11
HIV31 (11)15 (10)16 (13).57
CAD27 (10)15 (10)12 (10)1.00
HF23 (9)13 (9)10 (8).83
COPD38 (14)21 (14)17 (14).86
Depression90 (33)54 (37)36 (29).16

BMI, body mass index; CAD, coronary artery disease; COPD, chronic obstructive pulmonary disease; CVA, cerebrovascular accident; DM, diabetes mellitus; ESRD, end-stage renal disease; HF, heart failure; HTN, hypertension; PVD, peripheral vascular disease; SD, standard deviation.

This variable was missing for 24 total patients (7 VL positive, 17 VL undetectable).

Patient demographics and comorbid conditions comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA. BMI, body mass index; CAD, coronary artery disease; COPD, chronic obstructive pulmonary disease; CVA, cerebrovascular accident; DM, diabetes mellitus; ESRD, end-stage renal disease; HF, heart failure; HTN, hypertension; PVD, peripheral vascular disease; SD, standard deviation. This variable was missing for 24 total patients (7 VL positive, 17 VL undetectable).

HCV-related variables

The majority of patients with PVL (97%) were untreated while 98% of the UVL group received treatment prior to TJA with interferon (37%) and DAA (61%) (P < .001). The average duration from recorded SVR to TJA was 51 months (range: 2-242 months) for the UVL group. Although liver function test scores were higher in the PVL group, the Child Pugh classification, Model for End-Stage Liver Disease score, and liver fibrosis and activity levels were similar to those of the UVL group (Table 2).
Table 2

HCV characteristics comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA.

VariableAll HCV TJA (n = 270)Viral load undetectable (n = 145)Viral load positive (n = 125)P value
Viral load, IU/mL, mean (SD)NA0 (0)2,531,173 (3905190)NA
HCV QL10, Log IU/mL, mean (SD)NA0 (0)5.92 (0.7)NA
Genotype, n (%)
 1a130 (48)60 (41)70 (56)<.001
 1b32 (12)18 (12)14 (11)
 2b37 (14)19 (13)18 (14)
 3a18 (7)6 (4)12 (10)
 411 (4)8 (6)3 (2)
 Indeterminate42 (15)34 (23)8 (6)
Treatment group, n (%)
 Untreated124 (46)3 (2)121 (97)<.001
 Interferon54 (20)53 (37)1 (1)
 DAAa92 (34)89 (61)3 (2)
 Failed prior viral therapy, n (%)10 (3)6 (4)4 (3)1.00
 Time from SVR to surgery, mo, mean (range)NA51 (2-242)NANA
 AST, mean (SD)34.5 (25)26.6 (15)43.6 (38)<.0001
 ALT, mean (SD)34.3 (25)25.9 (22)44.1 (29)<.0001
MELD level, n (%)
 1222 (82)121 (83)101 (81).15
 234 (13)21 (15)13 (10)
 314 (5)3 (2)11 (9)
Childs Pugh Class, n (%)
 A255 (94)137 (94)118 (94).84
 B14 (5)7 (5)7 (6)
 C1 (1)1 (1)0 (0)
Liver fibrosis stage, n (%)
 F044 (16)21 (14)23 (18).15
 F132 (12)15 (10)17 (14)
 F228 (10)15 (10)13 (10)
 F333 (12)15 (10)18 (14)
 F455 (20)35 (24)20 (16)
 Not obtained/unknown78 (29)44 (30)34 (27)
Liver fibrosis activity, n (%)
 A075 (28)41 (28)34 (27).48
 A177 (29)35 (24)42 (34)
 A231 (11)20 (14)11 (9)
 A39 (3)5 (4)4 (3)
 Not obtained/unknown78 (29)44 (30)34 (27)

QL10, quantitative log 10; NA, not applicable; AST, aspartate aminotransferase; ALT, alanine aminotransferase; MELD, Model for End-Stage Liver Disease; TJA, total joint arthroplasty; SD, standard deviation.

DAA treatment group overall included: 66% ledipasvir/sofosbuvir, 22% sofosbuvir/ribavirin, 8% sofosbuvir/velpatasvir, 2% sofosbuvir/velpatasvir/voxilaprevir, 1% glecaprevir/pibrentasvir, 1% elbasvir/grazoprevir.

HCV characteristics comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA. QL10, quantitative log 10; NA, not applicable; AST, aspartate aminotransferase; ALT, alanine aminotransferase; MELD, Model for End-Stage Liver Disease; TJA, total joint arthroplasty; SD, standard deviation. DAA treatment group overall included: 66% ledipasvir/sofosbuvir, 22% sofosbuvir/ribavirin, 8% sofosbuvir/velpatasvir, 2% sofosbuvir/velpatasvir/voxilaprevir, 1% glecaprevir/pibrentasvir, 1% elbasvir/grazoprevir.

Statistical analysis

Chi-squared tests were utilized to compare categorical variables, and 2-tailed Student’s t-tests were used to compare continuous variables between the PVL and UVL groups. The in-hospital and postoperative outcomes of interest at 90 days and 1 year were compared between the 2 groups. A multivariable logistic regression analysis was attempted to determine the independent adjusted risk ratios of each significant variable from the initial analysis. P values < .05 were considered to be statistically significant.

Results

Perioperative characteristics

Patients with PVL were less likely to receive tranexamic acid (32% vs 64%, P < .0001) but more likely to have general anesthesia than the UVL group (81% vs 52%, P < .0001). Drains were used more frequently in PVL patients (71% vs 52%, P = .002). However, there was no difference in operative time, estimated blood loss, and intraoperative transfusion rates (Table 3).
Table 3

Perioperative characteristics comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA.

VariableAll HCV TJA (n = 270)Viral load undetectable (n = 145)Viral load positive (n = 125)P value
TJA type, n (%)
 THA138 (51)75 (52)63 (50).90
 TKA132 (49)70 (48)62 (50)
 Operative duration, min, mean (SD)99 (31)99 (30)100 (34).94
 Blood loss, mL, mean (SD)263 (251)232 (189)300 (323).08
Implant details, n (%)
 Cemented137 (51)75 (52)62 (50).80
 Antibiotic cement79 (58)49 (65)30 (48).04
ASA score, n (%).08
 12 (1)1 (1)1 (1)
 259 (22)37 (26)22 (18)
 3202 (75)105 (72)97 (78)
 47 (2)2 (1)5 (4)
TXA use, n (%)133 (49)93 (64)40 (32)<.0001
Anesthesia type, general, n (%)177 (66)76 (52)101 (81)<.0001
Intraoperative blood transfusion, n (%) [mean units pRBCs]1 (1)0 (0)1 (1) (2u pRBCs).46
Hemovac drain, n (%)165 (61)76 (52)89 (71).002

ASA, American Society of Anesthesiologists; pRBCs, packed red blood cells; SD, standard deviation; THA, total hip arthroplasty; TKA, total knee arthroplasty; TXA, tranexamic acid.

Perioperative characteristics comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA. ASA, American Society of Anesthesiologists; pRBCs, packed red blood cells; SD, standard deviation; THA, total hip arthroplasty; TKA, total knee arthroplasty; TXA, tranexamic acid.

In-hospital postoperative outcomes

Patients with PVL had a longer hospital LOS, approximately 1 full day, than the UVL group (3.9 vs 2.9 days, P < .0001). However, patients with PVL had similar rates of discharge to skilled nursing or rehabilitation facilities (19% vs 19%, P = 1.0) and intensive care unit utilization (2% vs 3%, P = 1.0). Hospital-acquired complications including pulmonary embolus, sepsis, myocardial infarction, cerebrovascular accident, and postoperative anemia requiring transfusion were similar between the 2 groups (P > .05, Table 4).
Table 4

Acute postoperative outcomes comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA.

OutcomeAll HCV TJA (n = 270)Viral load undetectable (n = 145)Viral load positive (n = 125)P value
AMS/delirium6 (2)1 (1)5 (4).10
ARF1 (1)0 (0)1 (1).46
DVT4 (2)4 (3)0 (0).13
PE3 (1)3 (2)0 (0).25
MI1 (1)1 (1)0 (0)1.00
ARDS2 (1)1 (1)1 (1)1.00
CVA/stroke2 (1)2 (1)0 (0).50
PNA1 (1)0 (0)1 (1).46
UTI0 (0)0 (0)0 (0)NA
Sepsis1 (1)0 (0)1 (1).46
Postoperative anemia requiring blood transfusion, n (%)41 (15)19 (13)22 (18).31
Hospital blood transfusion, units pRBCs, mean (SD)1.9 (0.9)1.6 (0.7)2.2 (1.0).17
ICU stay, n (%)7 (3)4 (3)3 (2)1.00
ICU d, mean (SD)4.0 (3)4.8 (5)3.0 (2).86
LOS, d, mean (SD)3.4 (1.9)2.9 (1.7)3.9 (2.2)<.0001
Discharge disposition, n (%)
 Home218 (81)117 (81)101 (81)1.00
 SNF/IPR52 (19)28 (19)24 (19)

AMS, altered mental status; ARDS, acute respiratory distress syndrome; ARF, acute renal failure; CVA, cerebrovascular accident; DVT, deep veinous thrombosis; ICU, intensive care unit; IPR, inpatient rehabilitation; MI, myocardial infarction; PE, pulmonary embolus; PNA, pneumonia; pRBCs, packed red blood cells; SNF, skilled nursing facility; UTI, urinary tract infection.

Acute postoperative outcomes comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA. AMS, altered mental status; ARDS, acute respiratory distress syndrome; ARF, acute renal failure; CVA, cerebrovascular accident; DVT, deep veinous thrombosis; ICU, intensive care unit; IPR, inpatient rehabilitation; MI, myocardial infarction; PE, pulmonary embolus; PNA, pneumonia; pRBCs, packed red blood cells; SNF, skilled nursing facility; UTI, urinary tract infection.

Ninety-day and 1-year postoperative outcomes

The PJI rate was significantly higher in the PVL group at 90 days (6% vs 1%, P = .04), which persisted at 1 year (9% vs 2%, P = .02). The rate of superficial wound problems including cellulitis was 5 times higher in the PVL cohort (5% vs 1%, P = .08), but did not reach statistical significance. However, the number of revision TJAs for mechanical complications including fracture, dislocation, and loosening was similar between the 2 groups at 90 days (P = 1.00) and 1 year (P = .58) postoperatively (Table 5).
Table 5

Ninety-day and 1-year outcomes comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA.

Outcome, n (%)All HCV TJA (n = 270)Viral load undetectable (n = 145)Viral load positive (n = 125)P value
Ninety day
 Dislocation3 (1)2 (1)1 (1)1.00
 PJI10 (4)2 (1)8 (6).04
 Periprosthetic fracture2 (1)1 (1)1 (1)1.00
 Aseptic revision TJA5 (2)3 (2)2 (2)1.00
One year
 Dislocation4 (2)3 (2)1 (1).63
 PJI14 (5)3 (2)11 (9).02
 Periprosthetic fracture4 (2)2 (1)2 (2)1.00
 Aseptic revision TJA13 (5)6 (4)7 (6).58
Any-time postoperative
 Any-time PJI20 (7)5 (3)15 (12).01
 Cellulitis/wound dehiscence8 (3)2 (1)6 (5).08
 Hematoma6 (2)1 (1)5 (4).10
Ninety-day and 1-year outcomes comparing undetectable viral load (UVL) to positive viral load (PVL) at the time of TJA.

Risk factors for PJI

A total of 14 patients were diagnosed with PJI at 1-year follow-up, 3 of which had UVL at the time of TJA. The multivariable regression analysis performed failed to converge due to the low rates of PJI present in our cohort. Hence age, hemarthrosis, and hemophilia were not independent predictors of 1-year PJI although the presence of UVL trended to significance (Table 6). Also, there was no difference in the time frame from treatment completion with SVR to TJA between the patients who developed PJI and those who did not (82 vs 50 months, P = .54).
Table 6

Multivariable regression analysis of risk factors for PJI in HCV patients undergoing elective TJA.

VariableOR95% CIP value
PVL (vs UVL)3.200.88-14.85.09
Age, y0.970.92-1.02.23
Hemarthrosis1.640.12-15.46.69
Hemophilia2.340.19-26.54.50

CI, confidence interval; OR, odds ratio.

Multivariable regression analysis of risk factors for PJI in HCV patients undergoing elective TJA. CI, confidence interval; OR, odds ratio.

Discussion

Patients with HCV undergoing TJA have significantly higher rates of surgical and postoperative complications following TJA, including hospital LOS, wound complications, revision surgery, and readmission than patients without HCV but can achieve similar functional activity levels and pain scores [22]. Historically, interferon treatment was administered but was found to be poorly tolerated, deterring patient access and limiting compliance in those who initiated treatment. Upon development, DAAs quickly gained favor due to their shorter 12-week treatment period and fewer side effects than interferon [23]. Although DAAs are safe and well tolerated, the high cost remains prohibitive, potentially limiting patient access [24]. We noted that nearly 45% of our patient cohort (125 TJA cases) did not receive treatment and had PVL when undergoing TJA, and many of them refused treatment due to the limitations and side effects of interferon. That being said, patients undergoing TJA treated with DAAs do not have lower medical or surgical complications, PJI, and revision TJA rates for mechanical causes than those treated with interferon [25]. In our study, patients receiving interferon or DAAs achieved high UVL rates, and the type of treatment was not a significant risk factor for developing PJI. HCV patients who have been treated prior to TJA have PJI rates similar to those of patients without HCV at 90 days and 1 year postoperatively [26,27]. However, the effect of treatment on postoperative outcomes is complex since receiving treatment does not guarantee SVR—defined as a sustained UVL for at least 3 months after completion of treatment [9,27]. Renewed interest in preoperative HCV VL as a main driver of postoperative outcomes after TJA has gained traction recently with an understanding of the limitations of these studies with respect to the availability of VL for analysis and smaller cohort sizes [15,27]. We determined that patients with a UVL had significantly lower PJI rates at 90-day and 1-year follow-up that approached those of the general population undergoing TJA [28,29]. The 1-year PJI rate of the PVL group in our study (9%) was similar to the 1-year deep infection rates (8.2%-9.5%) reported in previous studies [14,15,27]. We also noted that patients with UVL at the time of TJA had a significantly shorter LOS by approximately 1 full admission day similar to what Novikov et al. observed in their study assessing the effect of UVL on perioperative outcomes [15]. Contrary to their study, we did not find that a UVL was protective against mechanical complications or revision TJA in general or blood loss requiring transfusions. One potential explanation is that their patient population included a higher number of patients with PVL at the time of TJA, which explains their higher mechanical complication and PJI rates observed. Irrespective of the type of medication utilized for treatment, we concluded that once SVR is achieved, the patient can undergo TJA safely with lower PJI rates at any time frame after that with no improvement in complication rates when delaying surgery further. Liver fibrosis due to HCV remains a concern especially given the effects it may have on medical and surgical outcomes after TJA with increase in rates of PJI and cellulitis compared to nonfibrotic patients [30]. Schwarzkopf et al. found that liver fibrosis is more prevalent in patients who received treatment for HCV than in those not treated, indicating that treatment was preferentially given to those patients with advanced disease [25]. We identified a similar trend in our cohort. Although both the PVL and UVL groups had similar liver fibrosis staging and activity levels, the rates of hepatocellular carcinoma and liver transplant were significantly higher in the UVL group, indicating either preferential treatment for patients with more advanced disease or patients with advanced disease were more likely to attempt treatment despite potential side effects (ie, interferon). Anecdotally, at least 18 additional patients not included in the failed viral therapy group declined to start/refused to continue treatment due to side effects and had this documented in their medical records. However, liver fibrosis staging and activity were not significant risk factors of PJI contrary to prior studies, possibly due to their small patient populations [22,30]. Coinfection with HIV and HCV has been shown to be associated with increased postoperative complications including PJI, with HCV driving the risk [[31], [32], [33]]. We did not appreciate in our study population any significant difference in HIV rates in patients with PVL and UVL, while HIV coinfection was not a risk factor for PJI. We attribute this to the fact that HCV as noted above is the main driver of complications rather than HIV and that the 3 academic medical centers participating in this study have dedicated clinics for both HIV and HCV patients that emphasize a holistic approach to patient care. On the contrary, we found that diagnoses of hemophilia and hemarthrosis were present in significantly higher rates in the PVL group and that both were significant risk factors for PJI after TJA in our HCV population. This is in concordance with current literature that highlights the increased complications rates in general with an emphasis on hematomas, wound dehiscence, postoperative bleeding, and surgical site infections [34,35]. Although our study has some limitations, we believe that they do not detract from the conclusions it supports. Our study is retrospective in nature, bringing with it the potential for missing data points which was minimized in our population given that the 3 academic centers have dedicated clinics to manage HCV patients that keep extensive medical records and laboratory profiles on their patients. Patients with UVL had higher rates of liver transplant and hepatocellular carcinoma, indicating that patients with advanced disease were more likely to undergo treatment which may underestimate the effect of treatment achieving SVR on complications and outcomes. We were unable to perform a multivariable analysis to determine if VL was an independent risk factor for infection among the extensive list of confounding variables tested. Contrary to the prior study by Novikov et al. [15], our study includes a much greater number of confounding patient- and HCV-related variables including liver scores and fibrosis staging, a higher number of treated patients with UVL who had low rates of complications, and a lower PJI rate possibly due to the rigorous PJI definition based on the Musculoskeletal Infection Society criteria that we utilized. All these inherent differences inevitably dilute our multivariable model, especially when the complication rates are so low. The VL variable was approaching significance (P = .09) in our statistical model, and we believe that with larger patient numbers, statistical significance can be achieved. However, this low rate of PJI is a testimony to the significant effect that VL has on lowering PJI and mechanical rates, highlighting the impetus of our study.

Conclusions

In conclusion, achieving SVR prior to TJA is an important driver for improved outcomes including decreased hospital LOS and PJI rates. Fibrosis staging and activity levels were not significant factors although hepatocellular carcinoma and liver transplant were more prevalent in patients who received treatment and achieved a UVL. Although HIV coinfection was present in similar rates in patients with UVL and PVL and did not affect the rate of PJI. There is no clinical benefit or reduction in complication rates with delaying elective TJA after SVR has been achieved.

Conflicts of interest

Dr. A. F. Chen receives royalties from Stryker; is a paid consultant for 3M, Avanos, BICMD, bOne, Convatec, Ethicon, GLG, Guidepoint, Heraeus, IrriMax, Pfizer, PhagoMed, and Stryker; has stock or stock options in bOne, Graftworx, Hyalex, IrriMax, Joint Purification Systems, and Sonoran; receives financial or material support from publishers like SLACK Incorporated and UpToDate; is in the editorial or governing board of Journal of Arthroplasty, Annals of Joint, Clinical Orthopaedics and Related Research, Journal of Bone and Joint Infection, Knee Surgery, Sports Traumatology, Arthroscopy, Journal of Bone and Joint Surgery, and Journal of Orthopaedic Research; and is a board member in the American Academy of Orthopaedic Surgeons, American Joint Replacement Registry, American Association of Hip and Knee Surgeons, and the European Knee Association. Kyle Cichos is a paid consultant for Symcel. Dr. Ghanem is a paid consultant for Symcel, Heraeus Medical, and Tissue Tech Inc. Dr. Erik Hansen receives royalties from and is a paid consultant for Corin U.S.A. All other authors declare no potential conflicts of interest. For full disclosure statements refer to https://doi.org/10.1016/j.artd.2022.06.014.
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1.  Preoperative Treatment of Hepatitis C Is Associated With Lower Prosthetic Joint Infection Rates in US Veterans.

Authors:  Ilya Bendich; Steven Takemoto; Joseph T Patterson; Alexander Monto; Thomas C Barber; Alfred C Kuo
Journal:  J Arthroplasty       Date:  2019-03-09       Impact factor: 4.757

2.  A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts.

Authors:  M Malinchoc; P S Kamath; F D Gordon; C J Peine; J Rank; P C ter Borg
Journal:  Hepatology       Date:  2000-04       Impact factor: 17.425

Review 3.  Surgery and portal hypertension.

Authors:  C G Child; J G Turcotte
Journal:  Major Probl Clin Surg       Date:  1964

Review 4.  Hepatitis C virus infection in USA: an estimate of true prevalence.

Authors:  Eric Chak; Andrew H Talal; Kenneth E Sherman; Eugene R Schiff; Sammy Saab
Journal:  Liver Int       Date:  2011-03-16       Impact factor: 5.828

5.  Treatment of acute hepatitis C with interferon alfa-2b.

Authors:  E Jaeckel; M Cornberg; H Wedemeyer; T Santantonio; J Mayer; M Zankel; G Pastore; M Dietrich; C Trautwein; M P Manns
Journal:  N Engl J Med       Date:  2001-11-15       Impact factor: 91.245

Review 6.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

7.  In-Hospital Complications and Readmission in Patients with Hemophilia Undergoing Hip or Knee Arthroplasty.

Authors:  Thita Chiasakul; Tyler W Buckner; Mingyang Li; Rolando Vega; Phyllis A Gimotty; Adam Cuker
Journal:  JB JS Open Access       Date:  2020-06-05

8.  Periprosthetic joint infection: the incidence, timing, and predisposing factors.

Authors:  Luis Pulido; Elie Ghanem; Ashish Joshi; James J Purtill; Javad Parvizi
Journal:  Clin Orthop Relat Res       Date:  2008-04-18       Impact factor: 4.176

Review 9.  New horizons in hepatitis C antiviral therapy with direct-acting antivirals.

Authors:  Alessio Aghemo; Raffaele De Francesco
Journal:  Hepatology       Date:  2013-05-31       Impact factor: 17.425

Review 10.  Achieving sustained virologic response in hepatitis C: a systematic review of the clinical, economic and quality of life benefits.

Authors:  Jayne Smith-Palmer; Karin Cerri; William Valentine
Journal:  BMC Infect Dis       Date:  2015-01-17       Impact factor: 3.090

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  1 in total

1.  Note From the Editor.

Authors:  Gregory J Golladay
Journal:  Arthroplast Today       Date:  2022-09-26
  1 in total

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