Coding algorithms for identifying patients with cirrhosis and hepatitis B or C virus using administrative data

Curtailing infection risks in hepatitis C patients: the effect of antiviral treatment in revision shoulder arthroplasty

BACKGROUND

Revision shoulder arthroplasty (RevSA) is a complex procedure that can result in various postoperative complications. However, the impact of hepatitis C virus (HCV) on postoperative complications after RevSA remains unclear because of limited and inconsistent evidence. This study aims (1) to investigate the incidence of postoperative complications in patients with HCV undergoing RevSA and (2) to evaluate the impact of HCV treatment on complication rates at different time points after the revision procedure, specifically at 90 days, 1 year, and 2 years.

METHODS

We queried a national, all-payer database to investigate recent trends in the use of RevSA among HCV patients to assess postoperative complication rates, including venous thromboembolism (VTE), wound complication, transfusion, and periprosthetic joint infection (PJI). Statistical analyses involved propensity score matching to create balanced cohorts and logistic regression to determine the relative risk of postoperative complications. Data were analyzed with SPSS software (version 24.0 for Windows). The study included patients who underwent partial or total RevSA procedures between January 1, 2010, and December 31, 2020. Patients were identified based on medical claims that included procedural codes for RevSA and associated diagnosis codes for PJI or insertion/removal of an antibiotic spacer. A Bonferroni correction was used because many tests were performed and statistical significance was set at P = .0125.

RESULTS

The HCV cohort demonstrated higher PJI rates at 1-year (5.5% vs. 3.9%, P = .006) and 2-year follow-ups (6.7% vs. 4.6%, P = .006). However, no significant differences emerged in VTE and wound complication rates between the HCV and non-HCV cohorts. Comparing untreated and treated HCV patients, the former showed significantly higher PJI rates at 2 years (P = .010), whereas the treated group had significantly lower odds ratios for PJI. When comparing treated HCV patients with the non-HCV cohort, minimal differences were found in postoperative outcomes, indicating no significant difference in the risk of complications between the groups.

CONCLUSION

Our study observed an association between HCV patients who received antiviral treatment prior to RevSA and a reduced incidence of PJI compared to untreated HCV patients. When comparing this group to the non-HCV controls, there was no significant difference in the incidence of PJI, suggesting a potential association between antiviral treatment and the observed risk patterns in HCV patients. Proper management of HCV-positive patients during RevSA is crucial for improving outcomes and reducing complications.

The burden of significant pain in the cirrhosis population: Risk factors, analgesic use, and impact on health care utilization and clinical outcomes

BACKGROUND

We aimed to characterize pain and analgesic use in a large contemporary cohort of patients with cirrhosis and to associate pain with unplanned health care utilization and clinical outcomes in this population.

METHODS

We included all patients with cirrhosis seen in UCSF hepatology clinics from 2013 to 2020. Pain severity and location were determined using documented pain scores at the initial visit; "significant pain" was defined as moderate or severe using established cutoffs. Demographic, clinical, and medication data were abstracted from electronic medical records. Associations between significant pain and our primary outcome of 1-year unplanned health care utilization (ie, emergency department visit or hospitalization) and our secondary outcomes of mortality and liver transplantation were explored in multivariable models.

RESULTS

Among 5333 patients with cirrhosis, 32% had a nonzero pain score at their initial visit and 25% had significant (ie moderate/severe) pain. Sixty percent of patients with significant pain used ≥1 analgesic; 34% used opioids. Patients with cirrhosis with significant pain had similar Model for End-Stage Liver Disease-Sodium scores (14 vs. 13), but higher rates of decompensation (65% vs. 55%). The most common pain location was the abdomen (44%). Patients with abdominal pain, compared to pain in other locations, were more likely to have decompensation (72% vs. 56%). Significant pain was independently associated with unplanned health care utilization (adjusted odds ratio: 1.3, 95% CI: 1.1-1.5) and mortality (adjusted hazard ratio: 1.4, 95% CI: 1.2-1.6).

CONCLUSIONS

Pain among patients with cirrhosis is often not well-controlled despite analgesic use, and significant pain is associated with unplanned health care utilization and mortality in this population. Effectively identifying and treating pain are essential in reducing costs and improving quality of life and outcomes among patients with cirrhosis.

Identifying patients with diagnosed cirrhosis in administrative health databases: a validation study

Objectives

Case ascertainment algorithms were developed and validated to identify people living with cirrhosis in administrative health data in Manitoba, Canada using primary care electronic medical records (EMR) to define the reference standards.

Methods

We linked provincial administrative health data to primary care EMR data. The validation cohort included 116,675 Manitobans aged >18 years with at least one primary care visit between April 1998 and March 2015. Hospital records, physician billing claims, vital statistics, and prescription drug data were used to develop and test 93 case-finding algorithms. A validated case definition for primary care EMR data was the reference standard. We estimated sensitivity, specificity, positive and negative predictive values (PPV, NPV), Youden's index, area under the receiver operative curve, and their 95% confidence intervals (CIs).

Results

A total of 116,675 people were in the validation cohort. The prevalence of cirrhosis was 1.4% (n = 1593). Algorithm sensitivity estimates ranged from 32.5% (95% CI 32.2-32.8) to 68.3% (95% CI 68.0-68.9) and PPV from 17.4% (95% CI 17.1-17.6) to 23.4% (95% CI 23.1-23.6). Specificity (95.5-98.2) and NPV (approximately 99%) were high for all algorithms. The algorithms had slightly higher sensitivity estimates among men compared with women, and individuals aged ≥45 years compared to those aged 18-44 years.

Conclusion

Cirrhosis algorithms applied to administrative health data had moderate validity when a validated case definition for primary care EMRs was the reference standard. This study provides algorithms for identifying diagnosed cirrhosis cases for population-based research and surveillance studies.

Impact of Direct-acting Antivirals on Hepatocellular Carcinoma and Mortality Among Medicaid Beneficiaries With Hepatitis C

OBJECTIVE

The effects of all-oral direct-acting antivirals (DAAs) on hepatocellular carcinoma (HCC) and liver-related and all-cause mortality were assessed among Medicaid beneficiaries with hepatitis C virus (HCV).

SUBJECTS

This cohort study used 2013-2019 Arizona Medicaid data from beneficiaries with HCV aged 18-64 years.

METHODS

Risks of HCC and liver-related and all-cause mortality were compared between patients with or without DAA treatment, stratified by liver disease severity, using inverse probability of treatment weighted multivariable Cox proportional hazards regression models.

RESULTS

Of 29,289 patients, 13.3% received DAAs. Among patients with compensated cirrhosis (CC), DAA treatment was associated with a lower risk of HCC [adjusted hazard ratio (aHR), 0.57; 95% CI, 0.37-0.88] compared with untreated patients although this association was not statistically significant for patients without cirrhosis or with decompensated cirrhosis (DCC). Compared with untreated patients, DAA treatment was associated with decreased risk of liver-related mortality for patients without cirrhosis (aHR: 0.02; 95% CI: 0.004-0.11), with CC (aHR: 0.09; 95% CI: 0.06-0.13), or with DCC (aHR: 0.20; 95% CI: 0.14-0.27). Similarly, compared with untreated patients, DAA treatment was associated with lower all-cause mortality for patients without cirrhosis (aHR: 0.10; 95% CI: 0.08-0.14), with CC (aHR: 0.07; 95% CI: 0.05-0.10), or with DCC (aHR: 0.15; 95% CI: 0.11-0.20).

CONCLUSIONS

Among Arizona Medicaid beneficiaries with HCV, DAA treatment was associated with decreased risk of HCC for patients with CC but not for patients without cirrhosis or with DCC. However, DAA treatment was associated with decreased risk of liver-related and all-cause mortality.

Hepatitis C Is Associated With Higher Short-Term Complication Rates After Initial Aseptic and Septic Revision Total Hip Arthroplasty: A Matched Cohort Study

BACKGROUND

It is unclear if hepatitis C virus (HCV) negatively impacts outcomes of revision total hip arthroplasty (rTHA). The purpose of this study is to trend recent rTHA utilization in patients who have HCV and compare postoperative complication rates versus a matched cohort.

METHODS

All patients who underwent rTHA were retrospectively identified in a national database. Patients who had HCV (n = 1,746) were matched 1:3 with a matching group (n = 5,238) for age, gender, and several comorbidities. Cochran-Armitage tests were used to analyze trends in the annual proportion of rTHA performed in patients who had HCV from 2010 to 2019. Rates of 90-day medical and prosthesis-related complications within 2 years postoperatively were compared with multivariable logistic regressions.

RESULTS

The annual proportion of rTHA performed in patients who had HCV significantly increased from 2010 to 2019 (P < .001). Patients who had HCV exhibited significantly higher rates of acute kidney injuries (7.6% versus 4.4%; odds ratio [OR] 1.50), transfusions (20.6% versus 14.6%; OR 1.38), and re-revisions for prosthetic joint infection (10.9% versus 6.5%; OR 1.73). In subgroup analyses, rates of re-revision for prosthetic joint infection after initial aseptic rTHA (7.1% versus 3.8%; OR 1.82) and periprosthetic fracture after initial septic rTHA (4.5% versus 1.6%; OR 2.77) were significantly higher in the HCV cohort.

CONCLUSION

Similar to primary THA, patients who have HCV exhibit significantly increased complication rates after rTHA. With growing utilization in recent years, these data suggest that this population will comprise an increasingly larger proportion of rTHA procedures performed in the coming years.

Performance of algorithms for identifying patients with chronic hepatitis B or C infection in the french health insurance claims databases using the ANRS CO22 HEPATHER cohort

The validity of algorithms for identifying patients with chronic hepatitis B or C virus (HBV or HCV) infection in claims databases has been little explored. The performance of 15 algorithms was evaluated. Data from HBV- or HCV-infected patients enrolled between August 2012 and December 2015 in French hepatology centres (ANRS CO22 HEPATHER cohort) were individually linked to the French national health insurance system (SNDS). The SNDS covers 99% of the French population and contains healthcare reimbursement data. Performance metrics were calculated by comparing the viral status established by clinicians with those obtained with the algorithms identifying chronic HBV- and HCV-infected patients. A total of 14 751 patients (29% with chronic HBV and 63% with chronic HCV infection) followed-up until December 2018 were selected. Despite good specificity, the algorithms relying on ICD-10 codes performed poorly. By contrast, the multi-criteria algorithms combining ICD-10 codes, antiviral dispensing, laboratory diagnostic tests (HBV DNA or HCV RNA detection and quantification, HCV genotyping), examinations for the assessment of liver fibrosis and long-term disease registrations were the most effective (sensitivity 0.92, 95% CI, 0.91-0.93 and specificity 0.96, 95% CI, 0.95-0.96 for identifying chronic HBV-infected patients; sensitivity 0.94, 95% CI, 0.94-0.94 and specificity 0.85, 95% CI, 0.84-0.86 for identifying chronic HCV-infected patients). In conclusion, the multi-criteria algorithms perform well in identifying patients with chronic hepatitis B or C infection and can be used to estimate the magnitude of the public health burden associated with hepatitis B and C in France.

Disparities in Access to Hepatitis C Treatment Among Arizona Medicaid Beneficiaries With Chronic Hepatitis C

BACKGROUND

High costs of direct-acting antivirals (DAAs) have led to their restricted access for patients with hepatitis C virus (HCV).

OBJECTIVE

The aim was to assess how HCV treatment access and predictors of HCV treatment changed in the post-DAA period compared with pre-DAA period.

METHODS

A retrospective cohort study using Arizona Medicaid data was conducted for patients with HCV to compare treatment initiation rates between pre-DAA (January 2008-October 2013) and post-DAA (November 2013-December 2018) periods. Multivariable logistic regression was used, controlling for demographic and clinical variables.

RESULTS

Twenty-four thousand and ninety and 28,756 patients during the pre-DAA and post-DAA periods were identified. Overall, 12.6% were treated in the post-DAA period compared with 7.8% in the pre-DAA period ( P <0.001). The relative increase in the HCV treatment initiation rate from the pre-DAA to the post-DAA period was significant greater for Black beneficiaries compared with White beneficiaries ( P =0.002). Hispanic beneficiaries were less likely to be treated in the post-DAA period [adjusted odds ratios (aOR): 0.88; CI: 0.79-0.98] compared with White beneficiaries. Those with mental illness (aOR: 0.71; 95% CI: 0.63-0.80) and substance use disorders (aOR: 0.63; 95% CI: 0.58-0.68) were less likely to be treated in the post-DAA period.

CONCLUSIONS

Although treatment initiation increased and disparities for Black beneficiaries compared with White beneficiaries attenuated in the post-DAA period, only 13% of Arizona Medicaid patients with HCV received DAA treatment. Disparities in DAA access remained among Hispanic patients and those with mental illness and substance use disorders.

The Impact of Hepatitis C on Complication Rates After Revision Total Knee Arthroplasty: A Matched Cohort Study

Background

It is unclear if hepatitis C (HCV) negatively impacts outcomes of revision total knee arthroplasty (rTKA). The purpose of this study was to compare complication rates after rTKA for patients with HCV vs matched controls.

Methods

A retrospective cohort study was conducted using the PearlDiver database (PearlDiver Inc., Colorado Springs, CO). Patients with HCV who underwent rTKA (n = 1448) were matched 1:4 with controls (n = 5792) on age, sex, and several comorbidities. Rates of medical complications within 90 days and prothesis-related complications within 2 years postoperatively were compared with logistic regression for (1) patients with vs without HCV and (2) HCV patients who underwent aseptic vs septic rTKA.

Results

Relative to controls, patients with HCV exhibited significantly higher rates of medical complications (27.7% vs 20.9%; odds ratio [OR] 1.47), periprosthetic fractures (2.3% vs 1.1%; OR 2.20), all-cause repeat rTKA (11.7% vs 9.4%; OR 1.29), and repeat rTKA for prosthetic joint infection (PJI) (6.7% vs 3.6%; OR 1.92). Within the HCV cohort, HCV patients with initial septic rTKA exhibited significantly higher rates of medical complications (41.7% vs 22.7%; OR 2.39), all-cause subsequent rTKA (15.9% vs 10.2%; OR 1.67), and repeat rTKA for PJI (15.9% vs 3.4%; OR 5.39). Conversely, HCV patients with initial aseptic rTKA exhibited significantly higher rates of aseptic loosening (2.6% vs 7.4%; OR 0.33).

Conclusions

Patients with HCV exhibited significantly higher rates of medical and prosthesis-related complications after rTKA than controls. Among patients with HCV, initial septic rTKA was associated with significantly higher rates of medical complications, repeat rTKA, and PJI.

Administrative Data Use in National Registry Efforts: Blessing or Curse?

"Big data" refers to a growing field of large database research. Administrative data, a subset of big data, includes information from insurance claims, electronic medical records, and registries that can be useful for investigating novel research questions. While its use provides salient advantages, potential researchers relying on big data would benefit from knowing about how these databases are coded, common errors they may encounter, and how to best use large data to address various research questions. In the first section of this paper, Dr. Nicholas A. Bedard addresses the four major pitfalls to avoid with diagnosis and procedure codes in administrative data. In the next section, Dr. Jeffrey N. Katz et al. focus on the strengths and limitations of administrative data, suggesting methods to mitigate these limitations. Lastly, Dr. Elena Losina et al. review the uses and misuses of large databases for cost-effectiveness research, detailing methods for careful economic evaluations.

Trends in hospitalization for alcoholic hepatitis from 2011 to 2017: A USA nationwide study

BACKGROUND

Severe alcoholic hepatitis (AH) is one of the most lethal manifestations of alcohol-associated liver disease. In light of the increase in alcohol consumption worldwide, the incidence of AH is on the rise, and data examining the trends of AH admission is needed.

AIM

To examine inpatient admission trends secondary to AH, along with their clinical outcomes and epidemiological characteristics.

METHODS

The National Inpatient Sample (NIS) database was utilized, and data from 2011 to 2017 were reviewed. We included individuals aged ≥ 21 years who were admitted with a primary or secondary diagnosis of AH using the International Classification of Diseases (ICD)-9 and its correspondent ICD-10 codes. Hepatitis not related to alcohol was excluded. The national estimates of inpatient admissions were obtained using sample weights provided by the NIS.

RESULTS

AH-related hospitalization demonstrated a significant increase in the USA from 281506 (0.7% of the total admission in 2011) to 324050 (0.9% of the total admission in 2017). The median age was 54 years. The most common age group was 45–65 years (range 57.8%–60.7%). The most common race was white (63.2%–66.4%), and patients were predominantly male (69.7%–71.2%). The primary healthcare payers were Medicare (29.4%–30.7%) and Medicaid (21.5%–32.5%). The most common geographical location was the Southern USA (33.6%–34.4%). Most patients were admitted to a tertiary care center (50.2%–62.3%) located in urban areas. Mortality of AH in this inpatient sample was 5.3% in 2011 and 5.5% in 2017. The most common mortality-associated risk factors were acute renal failure (59.6%–72.1%) and gastrointestinal hemorrhage (17.2%–20.3%). The total charges were noted to range between $25242.62 and $34874.50.

CONCLUSION

The number of AH inpatient hospitalizations significantly increased from 2011 to 2017. This could have a substantial financial impact with increasing healthcare costs and utilization. AH-mortality remained the same.

The Hepatitis C Care Cascade During the Direct-Acting Antiviral Era in a United States Commercially-Insured Population

Background

Periodic surveillance of the hepatitis C virus (HCV) care cascade is important for tracking progress toward HCV elimination goals, identifying gaps in care, and prioritizing resource allocation. In the pre-direct-acting antiviral (DAA) era, it was estimated that 50% of HCV-infected individuals were diagnosed and that 16% had been prescribed interferon-based therapy. Since then, few studies utilizing nationally representative data from the DAA era have been conducted in the United States.

Methods

We performed a cross-sectional study to describe the HCV care cascade in the United States using the Optum de-identified Clinformatics® Data Mart Database to identify a nationally representative sample of commercially insured beneficiaries between January 1, 2014 and December 31, 2019. We estimated the number of HCV-viremic individuals in Optum based on national HCV prevalence estimates and determined the proportion who had: (1) recorded diagnosis of HCV infection, (2) recorded HCV diagnosis and underwent HCV RNA testing, (3) DAA treatment dispensed, and (4) assessment for cure.

Results

Among 120,311 individuals estimated to have HCV viremia in Optum during the study period, 109,233 (90.8%; 95% CI, 90.6%–91.0%) had a recorded diagnosis of HCV infection, 75,549 (62.8%; 95% CI, 62.5%–63.1%) had a recorded diagnosis of HCV infection and underwent HCV RNA testing, 41,102 (34.2%; 95% CI, 33.9%–34.4%) were dispensed DAA treatment, and 25,760 (21.4%; 95% CI, 21.2%–21.6%) were assessed for cure.

Conclusions

Gaps remain between the delivery of HCV-related care and national treatment goals among commercially insured adults. Efforts are needed to increase HCV treatment among people diagnosed with chronic HCV infection to achieve national elimination goals.

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation

PURPOSE

Phenotype algorithms are central to performing analyses using observational data. These algorithms translate the clinical idea of a health condition into an executable set of rules allowing for queries of data elements from a database. PheValuator, a software package in the Observational Health Data Sciences and Informatics (OHDSI) tool stack, provides a method to assess the performance characteristics of these algorithms, namely, sensitivity, specificity, and positive and negative predictive value. It uses machine learning to develop predictive models for determining a probabilistic gold standard of subjects for assessment of cases and non-cases of health conditions. PheValuator was developed to complement or even replace the traditional approach of algorithm validation, i.e., by expert assessment of subject records through chart review. Results in our first PheValuator paper suggest a systematic underestimation of the PPV compared to previous results using chart review. In this paper we evaluate modifications made to the method designed to improve its performance.

METHODS

The major changes to PheValuator included allowing all diagnostic conditions, clinical observations, drug prescriptions, and laboratory measurements to be included as predictors within the modeling process whereas in the prior version there were significant restrictions on the included predictors. We also have allowed for the inclusion of the temporal relationships of the predictors in the model. To evaluate the performance of the new method, we compared the results from the new and original methods against results found from the literature using traditional validation of algorithms for 19 phenotypes. We performed these tests using data from five commercial databases.

RESULTS

In the assessment aggregating all phenotype algorithms, the median difference between the PheValuator estimate and the gold standard estimate for PPV was reduced from -21 (IQR -34, -3) in Version 1.0 to 4 (IQR -3, 15) using Version 2.0. We found a median difference in specificity of 3 (IQR 1, 4.25) for Version 1.0 and 3 (IQR 1, 4) for Version 2.0. The median difference between the two versions of PheValuator and the gold standard for estimates of sensitivity was reduced from -39 (-51, -20) to -16 (-34, -6).

CONCLUSION

PheValuator 2.0 produces estimates for the performance characteristics for phenotype algorithms that are significantly closer to estimates from traditional validation through chart review compared to version 1.0. With this tool in researcher's toolkits, methods, such as quantitative bias analysis, may now be used to improve the reliability and reproducibility of research studies using observational data.

Does Pre-Arthroplasty Antiviral Treatment for Hepatitis C Reduce Complication Rates After Total Shoulder Arthroplasty? A Matched Cohort Study

Background

Hepatitis C virus (HCV) is associated with increased complications of risk after arthroplasty. The purpose of this study was to examine the impact of HCV and a pre-arthroplasty antiviral treatment on complications following total shoulder arthroplasty (TSA).

Methods

A retrospective matched cohort study was conducted using an administrative claims database. Patients who underwent TSA were identified with Current Procedural Terminology -23472 and International Classification of Diseases procedural codes. A total of 1244 HCV patients were matched 1:3 with 3732 noninfected controls across age, sex, diabetes mellitus, tobacco use, and obesity. The HCV patients with treatment before TSA were identified by claims containing antiviral drug codes. Multivariable logistic regression was used to compare rates of 90-day medical complications and prosthesis-related complications within 2 years postoperatively for (1) HCV patients vs. controls, (2) antiviral-treated HCV patients vs. controls, and (3) antiviral-treated HCV patients vs. untreated HCV patients.

Results

Patients with HCV exhibited significantly higher rates of blood transfusion (OR 2.12), acute kidney injuries (OR 1.86), inpatient readmission (OR 2.06), revision TSA (OR 1.48), dislocation (OR 1.92), mechanical complications (OR 1.39), and prosthetic joint infection (OR 1.53) compared to controls. Antiviral-treated HCV patients exhibited a significantly lower rate of myocardial infarction (OR 0.27) and comparable rates of all other complications relative to controls (all P > .05). Compared to untreated HCV patients, antiviral-treated HCV patients exhibited significantly lower rates of 90-day medical complications (OR 0.57) and prosthetic joint infection (OR 0.36).

Conclusions

HCV is associated with significantly increased complication rates after TSA. Antiviral treatment before TSA may reduce the risk of postoperative complications.

Does Preoperative Antiviral Treatment for Hepatitis C Decrease Risk of Complications After Total Hip Arthroplasty? A Matched Cohort Study

BACKGROUND

Hepatitis C virus (HCV) is associated with increased complication risk after elective arthroplasty. The purpose of this study is to examine the impact of HCV and prearthroplasty antiviral treatment on complications following total hip arthroplasty (THA).

METHODS

A retrospective matched cohort study was conducted using an administrative claims database. In total, 6,883 HCV patients were matched 1:3 with 20,694 noninfected controls, and 920 HCV patients with antiviral treatment before THA (treated HCV) were matched 1:4 with 3,820 HCV patients without treatment (untreated HCV). Rates of 90-day medical complications and joint complications within 2 years postoperatively were compared with multivariable logistic regression.

RESULTS

HCV patients exhibited significantly increased rates of medical complications within 90 days compared to noninfected controls (all P < .01). At 2 years postoperatively, HCV patients also exhibited significantly higher risk of revision THA (odds ratio [OR] 1.81), dislocation (OR 2.06), mechanical complications (OR 1.40), periprosthetic fracture (OR 1.76), and prosthetic joint infection (PJI) (OR 1.79). However, treated HCV patients exhibited statistically comparable risk of all joint complications at 2 years postoperatively relative to controls (all P > .05). Compared to untreated HCV patients, treated HCV patients exhibited significantly lower risk of inpatient readmission within 90 days (OR 0.58) and PJI at 2 years postoperatively (OR 0.62).

CONCLUSION

HCV patients exhibit significantly increased risk of medical and joint complications following THA relative to controls, though prearthroplasty antiviral treatment mitigates complication risk. Treated HCV patients exhibited significantly lower risk of inpatient readmission and PJI compared to untreated HCV patients.

LEVEL OF EVIDENCE

Level III.

A Missed Opportunity: The Impact of Hepatitis C Treatment Prior to Total Knee Arthroplasty on Postoperative Complications

BACKGROUND

Hepatitis C (HCV) is undertreated and increasing in prevalence. Its influence on outcomes following total knee arthroplasty (TKA) remains unclear. The purpose of this study is to examine the impact of HCV and prearthroplasty antiviral treatment on postoperative complications following TKA.

METHODS

A retrospective matched cohort study was conducted using an administrative claims database to compare postoperative complication rates following TKA for (1) patients with vs without HCV and (2) among patients with HCV, patients with antiviral treatment before TKA vs no treatment. In total, 6971 patients with HCV were matched 1:4 with 27,884 controls without HCV, and 708 HCV patients with antiviral treatment before TKA were matched 1:2 with 1416 HCV patients without treatment. Rates of joint complications at 1 and 2 years postoperatively were compared via multivariable logistic regression.

RESULTS

The HCV cohort exhibited significantly higher risk of prosthetic joint infection (PJI) than controls at both 1 (4.1 vs 2.1%; odds ratio [OR] 1.58) and 2 years (5.0% vs 2.7%; OR 1.55) postoperatively. Rates of revision TKA were also significantly higher for HCV patients at 1 (2.8% vs 1.8%; OR 1.40) and 2 years (4.1% vs 2.9%; OR 1.30). HCV patients with prearthroplasty antiviral treatment exhibited significantly lower risk of PJI at 1 (2.1% vs 4.1%; OR 0.50) and 2 years (2.7% vs 5.1%, OR 0.51) compared to patients without treatment.

CONCLUSION

Patients with HCV have significantly increased risk of PJI and revision arthroplasty following TKA. Antiviral treatment before TKA significantly decreases the risk of PJI postoperatively.

LEVEL OF EVIDENCE

Level III.

Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references

Background

To assess the performance of various coding algorithms for identifying people with hepatitis B virus (HBV) and hepatitis C virus (HCV) using claims data according to different reference standards (RSs) and study periods (SPs).

Methods

A proportional random sampling of 10,000 patients aged ≥ 20 years in a health care system in Southern Taiwan were enrolled as study participants. We used three hierarchical RSs (RS1: having positive results of laboratory tests; R2: having RS1 or having prescriptions of anti-HBV or anti-HCV medications; R3: having R1 or R2 or having textual diagnosis recorded in electrical medical records) with three SPs (4-, 8-, and 12-years) to calculate positive predictive value (PPV) and sensitivity (Sen) of 6 coding algorithms using HBV- and HCV-related International Classification of Disease Tenth Revision Clinical Modification (ICD-10-CM) codes in Taiwan National Health Insurance claims data for years 2016–2019.

Results

Of 10,000 enrolled participants, the number of participants had confirmed HBV and HCV was 146 and 165, respectively according to RS1 with 4-years SP and increased to 729 and 525, respectively according to RS3 with 12-years SP. For both HBV and HCV, the PPV was lowest according to RS1 and highest according to RS3. The longer the SP, the higher the PPV. However, the Sen was highest according to RS2 with 4-years SP. For both HBV and HCV, the coding algorithm with highest PPV and Sen was “ ≥ 3 outpatient codes” and “ ≥ 2 outpatient or ≥ 1 inpatients codes,” respectively.

Conclusions

In conclusion, using different RSs with different SPs would result in different estimation of PPV and Sen. To achieve the best yield of both PPV and Sen, the optimal coding algorithm is “ ≥ 2 outpatients or ≥ 1 inpatients codes” for identifying people with HBV or HCV.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07212-w.

Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety

OBJECTIVE

To present an approach on using electronic health record (EHR) data that assesses how different eligibility criteria, either individually or in combination, can impact patient count and safety (exemplified by all-cause hospitalization risk) and further assist with criteria selection for prospective clinical trials.

MATERIALS AND METHODS

Trials in three disease domains - relapsed/refractory (r/r) lymphoma/leukemia; hepatitis C virus (HCV); stages 3 and 4 chronic kidney disease (CKD) - were analyzed as case studies for this approach. For each disease domain, criteria were identified and all criteria combinations were used to create EHR cohorts. Per combination, two values were derived: (1) number of eligible patients meeting the selected criteria; (2) hospitalization risk, measured as the hazard ratio between those that qualified and those that did not. From these values, k-means clustering was applied to derive which criteria combinations maximized patient counts but minimized hospitalization risk.

RESULTS

Criteria combinations that reduced hospitalization risk without substantial reductions on patient counts were as follows: for r/r lymphoma/leukemia (23 trials; 9 criteria; 623 patients), applying no infection and adequate absolute neutrophil count while forgoing no prior malignancy; for HCV (15; 7; 751), applying no human immunodeficiency virus and no hepatocellular carcinoma while forgoing no decompensated liver disease/cirrhosis; for CKD (10; 9; 23893), applying no congestive heart failure.

CONCLUSIONS

Within each disease domain, the more drastic effects were generally driven by a few criteria. Similar criteria across different disease domains introduce different changes. Although results are contingent on the trial sample and the EHR data used, this approach demonstrates how EHR data can inform the impact on safety and available patients when exploring different criteria combinations for designing clinical trials.

Hepatitis C Treatment Among Commercially or Medicaid-Insured Individuals, 2014-2018

INTRODUCTION

The proportion of individuals infected with hepatitis C virus that receive direct-acting antiviral treatment is unclear.

METHODS

The proportion of commercially or Medicaid-insured patients receiving hepatitis C virus treatment was estimated using administrative claims data obtained from MarketScan and Multi-State Medicaid obtained on January 6, 2020. Validated algorithms derived from standardized procedures and International Classification of Diseases diagnosis codes were used to identify enrollees with chronic hepatitis C; analysis (performed November 30, 2020) was restricted to adults continuously enrolled with prescription drug coverage for >6 months before and after their index hepatitis C viral load test claim date from January 2014 through December 2018. Prescription drug claims using National Drug Codes were used for hepatitis C virus drugs. The proportion of treated patients by demographic and clinical characteristics was described, and associations with treatment were modeled using multivariable-adjusted hazard ratios and 95% CIs by insurance status.

RESULTS

Of patients with chronic hepatitis C, 12,090 of 17,562 (69%) with commercial insurance and 8,112 of 27,328 (30%) with Medicaid were treated. Commercially insured patients with opioid use disorder (hazard ratio=0.78, 95% CI=0.72, 0.85), alcohol use disorder (hazard ratio=0.85, 95% CI=0.79, 0.91), severe mental illness (hazard ratio=0.92, 95% CI=0.87, 0.98), chronic kidney disease (hazard ratio=0.75, 95% CI=0.69, 0.82), or HIV infection (hazard ratio=0.74, 95% CI=0.66, 0.82) were less likely to be treated. Medicaid patients with opioid (hazard ratio=0.64, 95% CI=0.61, 0.68) or alcohol use disorders (hazard ratio=0.83, 95% CI=0.79, 0.88) were less likely to be treated.

CONCLUSIONS

Hepatitis C virus treatment gaps were identified using administrative claims data among patients with commercial and Medicaid insurance.

Health care utilization and costs associated with direct-acting antivirals for patients with substance use disorders and chronic hepatitis C

BACKGROUND: Patients with substance use disorders (SUD) and chronic hepatitis C virus infection (HCV) have limited access to direct-acting antivirals (DAAs) due to multilevel issues related to providers (eg, concern about reinfection); patients (eg, refusal); payers (eg, prior authorization); and health system structure, although clinical guidelines recommend timely DAA treatment for patients with SUD and HCV. Effects of DAAs on real-world health care utilization and costs among these patients is unknown. OBJECTIVE: To compare changes in medical service utilization and costs related to liver, SUD, and all-cause morbidity in patients with SUD and HCV treated with DAAs (DAA group) vs not treated with DAAs (non-DAA group). METHODS: We conducted a retrospective cohort study using MarketScan Commercial and Medicare Supplemental Claims databases (2012-2018) for newly diagnosed HCV treatment-naive adults with SUD. We used difference-in-differences analyses, stratified by cirrhosis status, to determine the adjusted ratio of rate ratio (RoRR) to assess the difference in the relative changes from the pre- to posttreatment periods between the 2 groups. RESULTS: 6,266 patients with SUD and HCV were identified. Of these patients who also had cirrhosis (n = 607), 49% (n = 298) initiated DAA therapy for HCV, whereas of those without cirrhosis (n = 5,659), 22% (n = 1,219) initiated DAAs. For patients with cirrhosis (n = 607), the liver-related costs decreased by $6,213 (95% CI = -$8,571, -$3,856) for the DAA group and $1,585 (95% CI = -$4,659, $1,490) for the non-DAA group. The relative decreases in the rate of liver-related costs were larger for the DAA group than for the non-DAA group, and the relative changes between groups were significantly different (RoRR = 0.37, 95% CI = 0.19-0.73). There was no difference in the relative changes after DAAs in the rate of SUD-related visits/costs or all-cause costs between the 2 groups. For patients without cirrhosis (n = 5,659), a similar association was observed. Besides, the relative decreases in the rate of SUD-related emergency department (ED) visits (RoRR = 0.54, 95% CI = 0.38-0.77); SUD-related long-term care visits (RoRR = 0.30, 95% CI = 0.13-0.73); all-cause ED visits (RoRR = 0.75, 95% CI = 0.64-0.88); and all-cause long term-care visits (RoRR = 0.36, 95% CI = 0.18-0.72) were larger in the DAA group than in the non-DAA group. CONCLUSIONS: DAAs are associated with a significant decrease in the rate of SUD-related ED visits and liver-related costs without increasing the rate of all-cause costs among patients with SUD and HCV, suggesting that the benefits of DAAs extended beyond liver-related outcomes, especially in this disadvantaged population. DISCLOSURES: Research reported in this publication was supported in part by the National Institute on Drug Abuse of the National Institutes of Health (K01DA045618). The funder did not have a role in the design, the execution, the analyses, the interpretation of the data, or the decision to submit the results of this study. The authors have no potential conflicts of interest.

Cascade of Hepatitis C Virus Care Among Patients With Substance Use Disorders

INTRODUCTION

Hepatitis C virus testing is recommended for people at high risk for infection, including those with substance use disorders. Little is known about the cascade of hepatitis C virus care (including testing, diagnosis, and treatments) among patients with substance use disorders in real-world clinical practice. This study aims to characterize the hepatitis C virus cascade of care and identify the factors associated with hepatitis C virus testing and diagnosis among Florida Medicaid beneficiaries with substance use disorders.

METHODS

A retrospective cohort analysis of Florida Medicaid data (2013-2018) was conducted in 2020 for patients aged 18-64 years with newly diagnosed substance use disorders (year 2012 was used to ascertain 1-year previous enrollment). A generalized estimating equation identified the factors associated with hepatitis C virus testing; a multivariable logistic model identified the factors associated with hepatitis C virus diagnosis.

RESULTS

Of the 156,770 patients with substance use disorders, 18% were tested for hepatitis C virus at least once. Among the tested patients, 8% had hepatitis C virus diagnoses. Among the 2,177 patients having a hepatitis C virus diagnosis, 11% initiated hepatitis C virus treatments, and 96% of them completed the hepatitis C virus treatments. Factors associated with being less likely to receive hepatitis C virus testing included being male (AOR=0.73, 95% CI=0.71, 0.75) and White (AOR=0.85, 95% CI=0.83, 0.87), whereas individuals who were male (AOR=1.49, 95% CI=1.35, 1.66) and White (AOR=2.71, 95% CI=2.38, 3.08) were more likely to be diagnosed with hepatitis C virus. The odds of receiving hepatitis C virus testing significantly increased annually (AOR=1.06, 95% CI=1.05, 1.07).

CONCLUSIONS

Future studies are warranted to investigate the barriers to access hepatitis C virus testing and treatment among Florida Medicaid beneficiaries with substance use disorders, especially for White male individuals.

The Impact of Direct-Acting Antiviral Therapy on End-Stage Liver Disease Among Individuals with Chronic Hepatitis C and Substance Use Disorders

BACKGROUND AND AIMS

Our aim was to evaluate the impact of direct-acting antivirals (DAAs) on decompensated cirrhosis (DCC) and HCC in patients with chronic HCV and substance use disorder (SUD) compared with those without an SUD.

APPROACH AND RESULTS

This retrospective cohort study used the MarketScan database (2013-2018) to identify 29,228 patients with chronic HCV, where 22% (n = 6,385) had ≥1 SUD diagnosis. The inverse probability of treatment weighted multivariable Cox proportional hazard models were used to compare the risk of developing DCC and HCC. Among the those who were noncirrhotic, treatment reduced the DCC risk among SUD (adjusted hazard ratio [aHR] 0.13; 95% CI, 0.06-0.30) and non-SUD (aHR 0.11; 95% CI, 0.07-0.18), whereas the risk for HCC was not reduced for the SUD group (aHR 0.91; 95% CI, 0.33-2.48). For those with cirrhosis, compared with patients who were untreated, treatment reduced the HCC risk among SUD (aHR, 0.33; 95% CI, 0.13-0.88) and non-SUD (aHR, 0.40; 95% CI, 0.25-0.65), whereas the risk for DCC was not reduced for the SUD group (aHR, 0.64; 95% CI, 0.37-1.13). Among patients with cirrhosis who were untreated, the SUD group had a higher risk of DCC (aHR, 1.52; 95% CI, 1.03-2.24) and HCC (aHR, 1.69; 95% CI, 1.05-2.72) compared with non-SUD group.

CONCLUSIONS

Among the HCV SUD group, DAA treatment reduced the risk of DCC but not HCC for those who were noncirrhotic, whereas DAA treatment reduced the risk of HCC but not DCC for those with cirrhosis. Among the nontreated, patients with an SUD had a significantly higher risk of DCC and HCC compared with those without an SUD. Thus, DAA treatment should be considered for all patients with HCV and an SUD while also addressing the SUD.

The use of all-oral direct-acting antivirals in hepatitis C virus-infected patients with substance use disorders

BACKGROUND: There is evidence that barriers exist for the initiation of direct-acting antiviral (DAA) treatment for hepatitis C virus (HCV) for those with substance use disorders (SUDs). However, real world clinical evidence of DAA treatment initiation following receipt of a prescription and continuation among those with SUDs and HCV is lacking. OBJECTIVES: To (1) compare HCV treatment initiation (prescription fill) rates and early discontinuation rates between HCV-infected patients with and without SUDs in the DAA era, and (2) identify patient-level factors associated with HCV treatment initiation and early discontinuation in patients with SUDs. METHODS: A retrospective cohort analysis of the MarketScan databases (January 2012-December 2018) was conducted for newly diagnosed treatment naïve HCV-infected patients (age ≥ 18) with and without SUDs. We used multivariable Cox regression to estimate adjusted hazard ratios (aHRs) with 95% confidence intervals of treatment initiation and early discontinuation in those with SUDs versus those without. RESULTS: We identified a total of 29,228 newly diagnosed HCV-infected patients (6,385 with SUDs and 22,843 without SUDs). Overall, DAA treatment initiation for patients with SUDs was significantly lower than that for those without SUDs (24% vs 34%; P < 0.01). After adjusting for demographics and clinical characteristics, patients with SUDs were less likely to initiate DAA treatments than those without SUDs (aHR, 0.87 [0.82-0.92]). There was no difference in discontinuation of DAA treatment between those with and without SUDs (4% vs 3%: aHR, 1.13 [0.81-1.60]). Among patients with SUDs (n = 6,385), lower rates of initiating DAA treatment was associated with younger age, and comorbidities including alcoholic liver disease (ALD; aHR, 0.44 [0.33-0.57), chronic kidney disease (CKD) (aHR, 0.52 [0.36-0.75]), and hepatitis B virus (HBV; aHR, 0.64 [0.44-0.92]). DAA treatment discontinuation was associated with younger age, ribavirin (RBV) therapy (aHR, 3.78 [2.21-6.47]), and cirrhosis diagnosis (aHR, 2.42 [1.21-4.84]) but not SUD treatment (aHR, 0.68 [0.34-1.34]). CONCLUSIONS: HCV-infected patients with SUDs had significantly lower treatment initiation rates, especially in young females and those with ALD, CKD, and HBV. No difference was found in DAA discontinuation. However, younger patients with RBV treatment and/or cirrhosis were more likely to stop treatment. Interventions directed towards these groups are needed to enhance DAA initiation and treatment maintenance among HCV-infected patients with SUDs. DISCLOSURES: Research reported in this publication was supported in part by the National Institute on Drug Abuse of the National Institutes of Health under award number K01DA045618 (to Park). The other authors have nothing to disclose that may present a potential conflict of interest.

Validating viral hepatitis B and C diagnosis codes: a retrospective analysis using Ontario's health administrative data

OBJECTIVE

We aimed to determine the criterion validity of using diagnosis codes for hepatitis B virus (HBV) and hepatitis C virus (HCV) to identify infections.

METHODS

Using linked laboratory and administrative data in Ontario, Canada, from January 2004 to December 2014, we validated HBV/HCV diagnosis codes against laboratory-confirmed infections. Performance measures (sensitivity, specificity, and positive predictive value) were estimated via cross-validated logistic regression and we explored variations by varying time windows from 1 to 5 years before (i.e., prognostic prediction) and after (i.e., diagnostic prediction) the date of laboratory confirmation. Subgroup analyses were performed among immigrants, males, baby boomers, and females to examine the robustness of these measures.

RESULTS

A total of 1,599,023 individuals were tested for HBV and 840,924 for HCV, with a resulting 41,714 (2.7%) and 58,563 (7.0%) infections identified, respectively. HBV/HCV diagnosis codes ± 3 years of laboratory confirmation showed high specificity (99.9% HBV; 99.8% HCV), moderate positive predictive value (70.3% HBV; 85.8% HCV), and low sensitivity (12.8% HBV; 30.8% HCV). Varying the time window resulted in limited changes to performance measures. Diagnostic models consistently outperformed prognostic models. No major differences were observed among subgroups.

CONCLUSION

HBV/HCV codes should not be the only source used for monitoring the population burden of these infections, due to low sensitivity and moderate positive predictive values. These results underscore the importance of ongoing laboratory and reportable disease surveillance systems for monitoring viral hepatitis in Ontario.

Clinical comparison between trial participants and potentially eligible patients using electronic health record data: A generalizability assessment method

OBJECTIVE

To present a generalizability assessment method that compares baseline clinical characteristics of trial participants (TP) to potentially eligible (PE) patients as presented in their electronic health record (EHR) data while controlling for clinical setting and recruitment period.

METHODS

For each clinical trial, a clinical event was defined to identify patients of interest using available EHR data from one clinical setting during the trial's recruitment timeframe. The trial's eligibility criteria were then applied and patients were separated into two mutually exclusive groups: (1) TP, which were patients that participated in the trial per trial enrollment data; (2) PE, the remaining patients. The primary outcome was standardized differences in clinical characteristics between TP and PE per trial. A standardized difference was considered prominent if its absolute value was greater than or equal to 0.1. The secondary outcome was the difference in mean propensity scores (PS) between TP and PE per trial, in which the PS represented prediction for a patient to be in the trial. Three diverse trials were selected for illustration: one focused on hepatitis C virus (HCV) patients receiving a liver transplantation; one focused on leukemia patients and lymphoma patients; and one focused on appendicitis patients.

RESULTS

For the HCV trial, 43 TP and 83 PE were found, with 61 characteristics evaluated. Prominent differences were found among 69% of characteristics, with a mean PS difference of 0.13. For the leukemia/lymphoma trial, 23 TP and 23 PE were found, with 39 characteristics evaluated. Prominent differences were found among 82% of characteristics, with a mean PS difference of 0.76. For the appendicitis trial, 123 TP and 242 PE were found, with 52 characteristics evaluated. Prominent differences were found among 52% of characteristics, with a mean PS difference of 0.15.

CONCLUSIONS

Differences in clinical characteristics were observed between TP and PE among all three trials. In two of the three trials, not all of the differences necessarily compromised trial generalizability and subsets of PE could be considered similar to their corresponding TP. In the remaining trial, lack of generalizability appeared present, but may be a result of other factors such as small sample size or site recruitment strategy. These inconsistent findings suggest eligibility criteria alone are sometimes insufficient in defining a target group to generalize to. With caveats in limited scalability, EHR data quality, and lack of patient perspective on trial participation, this generalizability assessment method that incorporates control for temporality and clinical setting promise to better pinpoint clinical patterns and trial considerations.

Detecting non-alcoholic fatty liver disease and risk factors in health databases: accuracy and limitations of the ICD-10-AM

OBJECTIVE

The prevalence of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) cirrhosis is often underestimated in healthcare and administrative databases that define disease burden using International Classification of Diseases (ICD) codes. This retrospective audit was conducted to explore the accuracy and limitations of the ICD, Tenth Revision, Australian Modification (ICD-10-AM) to detect NAFLD, metabolic risk factors (obesity and diabetes) and other aetiologies of chronic liver disease.

DESIGN/METHOD

ICD-10-AM codes in 308 admitted patient encounters at two major Australian tertiary hospitals were compared with data abstracted from patients' electronic medical records. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and Cohen's kappa coefficient (κ).

RESULTS

The presence of an ICD-10-AM code accurately predicted the presence of NAFLD/NASH (PPV 91.2%) and obesity (PPV 91.6%) in most instances. However, codes underestimated the prevalence of NAFLD/NASH and obesity by 42.9% and 45.3%, respectively. Overall concordance between clinical documentation and 'grouped alcohol' codes (κ 0.75) and hepatitis C codes (κ 0.88) was high. Hepatitis B codes detected false-positive cases in patients with previous exposure (PPV 55.6%). Accuracy of codes to detect diabetes was excellent (sensitivity 95.8%; specificity 97.6%; PPV 94.9%; NPV 98.1%) with almost perfect concordance between codes and documentation in medical records (κ 0.93).

CONCLUSION

Recognition of the utility and limitations of ICD-10-AM codes to study the burden of NAFLD/NASH cirrhosis is imperative to inform public health strategies and appropriate investment of resources to manage this burgeoning chronic disease.

Direct-Acting Antiviral Treatment Use Remains Low Among Florida Medicaid Beneficiaries With Chronic Hepatitis C

Medicaid prior authorization (PA) policies for treatment of hepatitis C virus (HCV) with direct-acting antiviral (DAA) therapy are changing. We aimed to evaluate effects of changes in PA requirements on treatment uptake and to determine the factors associated with DAA treatment among Florida Medicaid beneficiaries with HCV. This is a retrospective cohort analysis of Florida's Medicaid administrative claims and electronic medical records (2013-2018). A total of 14,063 newly diagnosed patients with HCV were grouped based on human immunodeficiency virus (HIV) co-infection and/or a substance use disorder (SUD) (7,735 HCV mono-infected with a SUD, 5,180 HCV mono-infected without a SUD, 564 HCV/HIV co-infected with a SUD, and 584 HCV/HIV co-infected without a SUD). Although the treatment rate increased three-fold after June 1, 2016, when a fibrosis-stage restriction was eliminated, only 8% received DAAs. Compared to HCV mono-infected without a SUD, HCV mono-infected with a SUD and HCV/HIV co-infected with a SUD were 47% (adjusted hazard ratio, 0.53; 95% confidence interval, 0.47-0.60) and 59% (adjusted hazard ratio, 0.41; 95% confidence interval, 0.28-0.61) less likely to initiate DAAs. Those with HCV/HIV/SUD did not experience a DAA initiation increase after a fibrosis-stage restriction was eliminated. Compared with Whites, Blacks were less likely to receive DAAs but were more likely to complete treatment. Use of medication-assisted therapy was low, despite those on medication-assisted therapy being 60% more likely to initiate DAA therapy and no more likely to discontinue therapy. Conclusion: Despite changes in Florida's Medicaid PA requirements for DAA treatment, only 8% received treatment. Disparities in treatment access were found among patients with HIV and a SUD, and who were Black.

The Use of Administrative Data to Investigate the Population Burden of Hepatic Encephalopathy

Hepatic encephalopathy (HE) is a devastating complication of cirrhosis with an increasing footprint in global public health. Although the condition is defined using a careful history and examination, we cannot accurately measure the true impact of HE relying on data collected exclusively from clinical studies. For this reason, administrative data sources are necessary to study the population burden of HE. Administrative data is generated with each health care encounter to account for health care resource utilization and is extracted into a dataset for the secondary purpose of research. In order to utilize such data for valid analysis, several pitfalls must be avoided—specifically, selecting the particular database capable of meeting the needs of the study’s aims, paying careful attention to the limits of each given database, and ensuring validity of case definition for HE specific to the dataset. In this review, we summarize the types of data available for and the results of administrative data studies of HE.

Impact of hepatitis C virus treatment on the risk of non-hepatic cancers among hepatitis C virus-infected patients in the US

BACKGROUND

Hepatitis C virus (HCV) infection is associated with with an increased risk of non-hepatic cancers, but the impact of HCV treatment on non-hepatic cancer is unclear.

AIMS

To assess if HCV treatment reduced the incidence of non-hepatic cancers among patients with chronic HCV infection in the US.

METHODS

We conducted a retrospective cohort study in MarketScan Databases from January 2005 to December 2016. Multivariable, time-varying Cox proportional-hazards models were used to determine hazard ratios (HRs) of incident non-hepatic cancers in treated and untreated patients with HCV infection. We conduscted subgroup analyses for sex, age, and presence of cirrhosis or diabetes.

RESULTS

Among 62 078 patients with newly diagnosed HCV infection, 17 302 (28%) initiated HCV treatment, among whom 15 322 completed 8-16 weeks treatment (minimally effective treatment). Patients who initiated HCV treatment had an 11% decreased risk of developing an incident non-hepatic cancer compared to untreated patients (HR = 0.89, 95% confidence interval (Cl) = 0.82-0.96). The reduction was slightly higher when patients completed a minimally effective treatment (HR = 0.87; 95% Cl = 0.80 - 0.95). This was observed in most subgroup analyses for those who had a minimally effective treatment including patients with cirrhosis. When we stratified cancer or therapy subtypes, the association remained consistent for pancreatic and lung cancers, and dual HCV therapy.

CONCLUSIONS

HCV treatment led to a significantly reduced incidence of non-hepatic cancers among patients with HCV infection. Despite discrepancies between cancer or HCV therapy subtypes, our findings suggest that treating HCV infection can decrease the extrahepatic cancer burden associated with chronic HCV infection.

Liver-related mortality is similar among men and women with cirrhosis

BACKGROUND & AIMS

Sex-based differences are known to significantly contribute to outcomes in patients with chronic liver diseases; however, the role of patient sex in cirrhosis is unclear. We aimed to study the relationship between patient sex and cirrhosis.

METHODS

We analyzed a cohort of 20,045 patients with cirrhosis using a Chicago-wide electronic health record database that was linked with the United Network for Organ Sharing and cause of death data from the state death registry. Adjusted Cox survival analyses and competing risk analyses were performed to obtain subdistribution hazard ratios (HRs) for liver-related cause of death.

RESULTS

Female and male patients had similar age, racial distribution, insurance status, and comorbidity status by Elixhauser score. Females had higher rates of cholestatic liver disease (17.1% vs. 6.2%, p <0.001) and non-alcoholic steatohepatitis (29.8% vs. 21.2%, p <0.001) than males. They were less likely to have portal hypertensive complications and had lower peak MELD-Na scores during follow-up. Female sex was associated with a decreased hazard of all-cause mortality (adjusted HR 0.85; 95% CI 0.80-0.90). This effect was attenuated when liver-related mortality was examined (subdistribution HR 0.93; 95% CI 0.87-1.00). No significant difference was noted for women who were 'ever-listed' in competing risk analyses for either all-cause mortality (subdistribution HR 1.09; 95% CI 0.88-1.35) or liver-related death (subdistribution HR 1.12; 95% CI 0.87-1.43), despite lower rates of listing (7.5% vs. 9.8%; p <0.001) and transplant (3.5% vs. 5.2%; p <0.001).

CONCLUSIONS

In this longitudinal study of patients with cirrhosis, female sex was associated with a survival advantage likely driven by lower rates of non-liver-related death. Women were not at an increased risk of liver-related death despite lower rates of listing and transplantation.

LAY SUMMARY

Patient sex is an important contributor in many chronic diseases, including cirrhosis. Prior studies have suggested that female sex is associated with worse outcomes. We analyzed a cohort of 20,045 patients with cirrhosis using a Chicago-wide electronic health record database. Using multivariate competing risk analyses, we found that female sex in cirrhosis is actually associated with a lower risk of all-cause mortality and has no association with liver-related mortality. Our findings are novel because we show that women with cirrhosis have a similar risk of liver-related death as their male counterparts, despite lower rates of listing and transplantation.

Validity of administrative codes associated with cirrhosis in Sweden

OBJECTIVES

Although cirrhosisis a major cause of liver-related mortality globally, validation studies of the administrative coding for diagnoses associated with cirrhosis are scarce. We aimed to determine the validity of the International Classification of Diseases, 10th revision (ICD-10) codes corresponding to cirrhosis and its complications in the Swedish National Patient Register (NPR).

METHODS

We randomly selected 750 patients with ICD codes for either alcohol-related cirrhosis (K70.3), unspecified cirrhosis (K74.6) oesophageal varices (I85.0/I85.9), hepatocellular carcinoma (HCC, C22.0) or ascites (R18.9) registered in the NPR from 72 healthcare centres in 2000-2016. Hospitalisation events and outpatient visits in specialised care were included. Positive predictive values (PPVs) were calculated using the information in the patient charts as the gold standard.

RESULTS

Complete data were obtained for 630 (of 750) patients (84%). For alcohol-related cirrhosis, 126/136 cases were correctly coded, corresponding to a PPV of 93% (95% confidence interval, 95%CI: 87-96). The PPV for cirrhosis with unspecified aetiology was 91% (121/133, 95%CI: 85-95) and 96% for oesophageal varices (118/123, 95%CI: 91-99). The PPV was lower for HCC, 84% (91/109, 95%CI: 75-90). The PPV for liver-related ascites was low, 43% (56/129, 95%CI: 35-52), as this category often consisted of non-hepatic ascites. When combining the ascites code with a code for chronic liver disease, the PPV for liver-related ascites increased to 93% (50/54, 95%CI: 82-98).

CONCLUSIONS

The validity of ICD-10 codes for cirrhosis, oesophageal varices and HCC is high. However, coding for ascites should be combined with a code of chronic liver disease to have an acceptable validity.

New blood-borne virus infections among organ transplant recipients: An Australian data-linked cohort study examining donor transmissions and other HIV, hepatitis C and hepatitis B notifications, 2000-2015

BACKGROUND

Blood-borne viral infections can complicate organ transplantation. Systematic monitoring to distinguish donor-transmitted infections from other new infections post transplant is challenging. Administrative health data can be informative. We aimed to quantify post-transplant viral infections, specifically those transmitted by donors and those reactivating or arising new in recipients.

METHODS

We linked transplant registries with administrative health data for all solid organ donor-recipient pairs in New South Wales, Australia, 2000-2015. All new recipient notifications of hepatitis B (HBV), C (HCV), or human immunodeficiency virus (HIV) after transplant were identified. Proven/probable donor transmissions within 12 months of transplant were classified using an international algorithm.

RESULTS

Of 2120 organ donors, there were 72 with a viral infection (9/72 active, 63/72 past). These 72 donors donated to 173 recipients, of whom 24/173 already had the same infection as their donor, and 149/173 did not, so were at risk of donor transmission. Among those at risk, 3/149 recipients had proven/probable viral transmissions (1 HCV, 2 HBV); none were unrecognized by donation services. There were no deaths from transmissions. There were no donor transmissions from donors without known blood-borne viruses. An additional 68 recipients had new virus notifications, of whom 2/68 died, due to HBV infection.

CONCLUSION

This work confirms the safety of organ donation in an Australian cohort, with no unrecognized viral transmissions and most donors with viral infections not transmitting the virus. This may support targeted increases in donation from donors with viral infections. However, other new virus notifications post transplant were substantial and are preventable. Data linkage can enhance current biovigilance systems.

Baseline Factors Associated with Mortality in Patients Who Engaged in Buprenorphine Treatment for Opioid Use Disorder: a Cohort Study

BACKGROUND

Opioid agonist therapy (OAT) has been shown to reduce mortality in patients with opioid use disorder (OUD), yet mortality in individuals receiving OAT remains higher than in an age- and gender-matched population.

OBJECTIVE

To identify baseline risk factors in patients who engaged in buprenorphine treatment that are associated with this elevated risk of death.

DESIGN

We performed a retrospective cohort study from January 1, 2007, to December 31, 2018, using a centralized clinical data registry within a multi-hospital health system in Boston, MA, USA.

PARTICIPANTS

All adult patients who had ≥ 2 consecutive encounters with sublingual buprenorphine on the active medication list from January 1, 2007, to December 31, 2018.

MAIN MEASURES

We abstracted several sociodemographic, clinical, and healthcare use characteristics from the clinical data registry. The primary outcome was all-cause mortality and the secondary outcome was opioid overdose-related mortality. We performed multivariable cox regression to identify baseline characteristics independently associated with these outcomes.

KEY RESULTS

Of 5948 patients in the cohort, the majority were white (80.7%) and male (59.7%), with a mean age of 38.2 years. The all-cause mortality rate was 24.0 deaths per 1000 person-years. Baseline characteristics independently associated with an increased hazard of all-cause mortality included homelessness (adjusted hazard ratio [aHR] = 1.39; 95% confidence interval [CI] = 1.09, 1.78), an opioid on the active medication list (aHR = 1.28; 95% CI = 1.08, 1.52), and entry into the cohort during an inpatient hospitalization (aHR = 1.43; 95% CI = 1.18, 1.73). Homelessness was also associated with an increased hazard of opioid overdose-related mortality (aHR = 1.77; 95% CI = 1.25, 2.50).

CONCLUSIONS

We identified several novel and potentially modifiable predictors of mortality among patients engaging in buprenorphine treatment who remain at an increased risk of death compared with the general population. Understanding these risk factors can assist healthcare providers in risk stratification and inform the design of targeted interventions to improve outcomes in a high-risk patient population.

The cirrhosis care Alberta (CCAB) protocol: implementing an evidence-based best practice order set for the management of liver cirrhosis - a hybrid type I effectiveness-implementation trial

BACKGROUND

Liver cirrhosis is a leading cause of morbidity, premature mortality and acute care utilization in patients with digestive disease. In the province of Alberta, hospital readmission rates for patients with cirrhosis are estimated at 44% at 90 days. For hospitalized patients, multiple care gaps exist, the most notable stemming from i) the lack of a structured approach to best practice care for cirrhosis complications, ii) the lack of a structured approach to broader health needs and iii) suboptimal preparation for transition of care into the community. Cirrhosis Care Alberta (CCAB) is a 4-year multi-component pragmatic trial which aims to address these gaps. The proposed intervention is initiated at the time of hospitalization through implementation of a clinical information system embedded electronic order set for delivering evidence-based best practices under real-world conditions. The overarching objective of the CCAB trial is to demonstrate effectiveness and implementation feasibility for use of the order set in routine patient care within eight hospital sites in Alberta.

METHODS

A mixed methods hybrid type I effectiveness-implementation design will be used to evaluate the effectiveness of the order set intervention. The primary outcome is a reduction in 90-day cumulative length of stay. Implementation outcomes such as reach, adoption, fidelity and maintenance will also be evaluated alongside other patient and service outcomes such as readmission rates, quality of care and cost-effectiveness. This theory-based trial will be guided by Normalization Process Theory, Consolidated Framework on Implementation Research (CFIR) and the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) Framework.

DISCUSSION

The CCAB project is unique in its breadth, both in the comprehensiveness of the multi-component order set and also for the breadth of its roll-out. Lessons learned will ultimately inform the feasibility and effectiveness of this approach in "real-world" conditions as well as adoption and adaptation of these best practices within the rest of Alberta, other provinces in Canada, and beyond.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT04149223, November 4, 2019.

Validity of ICD-10-CM Codes Used to Identify Patients with Chronic Hepatitis B and C Virus Infection in Administrative Claims Data from the Taiwan National Health Insurance Outpatient Claims Dataset

PURPOSE

To validate the use of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes to identify patients with chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in the Taiwan National Health Insurance (NHI) Outpatient Claims Dataset.

METHODS

We conducted a retrospective study using results of HBV surface antigen (HBsAg), HBV e antigen (HBeAg), and anti-HCV antibody tests in the NHI Lab & Exam Dataset from January 1 to March 31, 2018, as the reference standard to confirm HBV and HCV infection cases. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) to assess the performance of HBV infection-specific ICD-10-CM codes (B180, B181, and B191) and HCV infection-specific ICD-10-CM codes (B182 and B192) recorded in the NHI Outpatient Claims Dataset to identify patients with HBV or HCV infection.

RESULTS

In total, 196,635 and 120,628 patients had analyzable results for HBsAg/HBeAg tests and anti-HCV tests, respectively. Moreover, 44,574 and 14,443 were confirmed to have HBV and HCV infection, respectively. The sensitivity, specificity, PPV, and NPV were, respectively, 46%, 83%, 45%, and 84% for HBV infection-specific ICD-10-CM codes and 47%, 99%, 81%, and 93% for HCV infection-specific ICD-10-CM codes. The sensitivity demonstrated great variation by region, clinical setting, and physician specialty.

CONCLUSION

The HBV and HCV infection-specific ICD-10-CM codes recorded by physicians in Taiwan NHI outpatient claims data in 2018 had moderate sensitivity and high specificity for both HBV and HCV infection. The PPV was high for HCV ICD-10-CM codes, yet moderate for HBV ICD-10-CM codes.

Validation of a hierarchical algorithm to define chronic liver disease and cirrhosis etiology in administrative healthcare data

BACKGROUND AND AIMS

Chronic liver disease (CLD) and cirrhosis are leading causes of death globally with the burden of disease rising significantly over the past several decades. Defining the etiology of liver disease is important for understanding liver disease epidemiology, healthcare planning, and outcomes. The aim of this study was to validate a hierarchical algorithm for CLD and cirrhosis etiology in administrative healthcare data.

METHODS

Consecutive patients with CLD or cirrhosis attending an outpatient hepatology clinic in Ontario, Canada from 05/01/2013-08/31/2013 underwent detailed chart abstraction. Gold standard liver disease etiology was determined by an attending hepatologist as hepatitis C (HCV), hepatitis B (HBV), alcohol-related, non-alcoholic fatty liver disease (NAFLD)/cryptogenic, autoimmune or hemochromatosis. Individual data was linked to routinely collected administrative healthcare data at ICES. Diagnostic accuracy of a hierarchical algorithm incorporating both laboratory and administrative codes to define etiology was evaluated by calculating sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and kappa's agreement.

RESULTS

442 individuals underwent chart abstraction (median age 53 years, 53% cirrhosis, 45% HCV, 26% NAFLD, 10% alcohol-related). In patients with cirrhosis, the algorithm had adequate sensitivity/PPV (>75%) and excellent specificity/NPV (>90%) for all etiologies. In those without cirrhosis, the algorithm was excellent for all etiologies except for hemochromatosis and autoimmune diseases.

CONCLUSIONS

A hierarchical algorithm incorporating laboratory and administrative coding can accurately define cirrhosis etiology in routinely collected healthcare data. These results should facilitate health services research in this growing patient population.

Anal Dysplasia in Human Immunodeficiency Virus-Infected Men Who Have Sex With Men With Sexually Acquired Early Hepatitis C Virus Infection

Background

Human immunodeficiency virus (HIV)-infected men who have sex with men (MSM) are at increased risk of anorectal infection with high-risk human papillomavirus and subsequent high-grade squamous intraepithelial lesions (HSIL), the putative precursor to anal cancer. Recently, an epidemic of sexually transmitted hepatitis C virus (HCV) has emerged that shares this anorectal route of transmission. We hypothesized that the prevalence of anal HSIL would be high in HIV-infected MSM with sexually acquired early HCV infection.

Methods

High-resolution anoscopy (HRA) findings from a cohort of HIV-infected MSM with sexually acquired early HCV infection were compared with HRA findings from a contemporary cohort of HIV-infected MSM without HCV infection who underwent HRA due to abnormal anal cytology found during routine screening.

Results

Sixty HIV-infected MSM with sexually acquired early HCV infection and the comparator group of 1150 HIV-infected MSM with abnormal anal cytology but without HCV underwent HRA. The HIV-infected MSM with sexually acquired early HCV had higher CD4 counts compared with the comparator group (656 and 541 cells/μL, respectively; P = .02). Despite this, the prevalence of anal dysplasia was as high among MSM with early HCV as in the comparator group of MSM with abnormal cytology (47 [78%] and 941 [82%], respectively; P = .50), as was the proportion with HSIL (25 [42%] and 379 [33%], respectively; P = .17).

Conclusions

The prevalence of anal dysplasia in HIV-infected MSM with sexually acquired early HCV infection was as high as that of HIV-infected MSM with abnormal anal cytology. These findings suggest that primary screening with HRA may be warranted for HIV-infected MSM with early HCV.

Chart validation of an algorithm for identifying hereditary progressive muscular dystrophy in healthcare claims

Background

Muscular dystrophies (MDs) are a group of inherited conditions characterized by progressive muscle degeneration and weakness. The rarity and heterogeneity of the population with MD have hindered therapeutic developments as well as epidemiological and health outcomes research. The objective of the study was to develop and validate a case-finding algorithm utilizing administrative claims data to identify and characterize patients with MD.

Methods

This retrospective cohort study used medical chart validation to evaluate an ICD-9/10 coding algorithm in a large commercial claims database. Patients were identified who had ≥2 office visits with a diagnosis of hereditary progressive MDs from January 1, 2013 through December 31, 2016, were male, and younger than 18 years at the time of first MD diagnosis. Cases who met the algorithm were then validated against medical charts. Diagnoses of MD and specific type (Duchenne, Becker, or other MD) were confirmed by medical chart review by trained reviewers. Positive predictive value (PPV) and 95% confidence intervals (CI) were calculated using a 2 × 2 contingence table. Patient demographic, clinical, and health utilization characteristics were summarized using basic descriptive statistics.

Results

Charts were obtained and reviewed for 109 patients who met the algorithm. The PPV of the case-identifying algorithm for MD was 95% (95% CI 88–98%). Of the 103 confirmed MD cases, 87 patients (85%, 95% CI 76–91%) had Duchenne or Becker MD; 76 patients (74%, 95% CI 64–82%) had Duchenne MD, and 11 patients (11%, 95% CI 5–18%) had Becker MD. A total of 74 (67.9%) patients had ≥1 pediatric complex chronic condition (other than neurologic/neuromuscular disease); 54 (49.5%) had cardiovascular conditions; 14 (12.8%) had respiratory conditions; 50 (45.9%) had bone-related issues; 11 (10.1%) had impaired growth; and 6 (5.5%) had puberty delay.

Conclusions

The results of this study demonstrate that the case-finding algorithm accurately identified patients with MD, primarily Duchenne MD, within a large administrative database. The algorithm, which was constructed using a few items easily accessible from claims, can be used to facilitate epidemiological and health outcomes research in the Duchenne patient population.

Electronic supplementary material

The online version of this article (10.1186/s12874-019-0816-7) contains supplementary material, which is available to authorized users.

Trends in Characteristics, Mortality, and Other Outcomes of Patients With Newly Diagnosed Cirrhosis

IMPORTANCE

Changes in the characteristics of patients with cirrhosis are likely to affect future outcomes and are important to understand in planning for the care of this population.

OBJECTIVE

To identify changes in demographic and clinical characteristics and outcomes in patients with newly diagnosed cirrhosis.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective cohort study of patients with a new diagnosis of cirrhosis was conducted using the Indiana Network for Patient Care, a large statewide regional health information exchange, between 2004 and 2014. Patients with at least 1 year of continuous follow-up before the cirrhosis diagnosis were followed up through August 1, 2015. The analysis was conducted from December 2018 to January 2019.

EXPOSURES

Age, cause of cirrhosis, and year of diagnosis.

MAIN OUTCOMES AND MEASURES

Overall rates for mortality, liver transplant, hepatocellular carcinoma, and hepatic decompensation (composite of ascites, hepatic encephalopathy, or variceal bleeding).

RESULTS

A total of 9261 patients with newly diagnosed cirrhosis were identified (mean [SD] age, 57.9 [12.6] years; 5109 [55.2%] male). A 69% increase in new diagnoses occurred over the course of the study period (620 in 2004 vs 1045 in 2014). The proportion of those younger than 40 years increased by 0.20% per year (95% CI, 0.04% to 0.36%; P for trend = .02), and the proportion of those aged 65 years and older increased by 0.81% per year (95% CI, 0.51% to 1.11%; P for trend < .001). The proportion of patients with alcoholic cirrhosis increased by 0.80% per year (95% CI, 0.49% to 1.12%), and the proportion with nonalcoholic steatohepatitis increased by 0.59% per year (95% CI, 0.30% to 0.87%), whereas the proportion with viral hepatitis decreased by 1.36% per year (95% CI, -1.68% to -1.03%) (P < .001 for all). In patients younger than 40 years, 40 to 64 years, and 65 years and older, mortality rates were 6.4 (95% CI, 5.4 to 7.6), 9.9 (95% CI, 9.5 to 10.4), and 16.2 (95% CI, 15.2 to 17.2) per 100 person-years, respectively (P < .001). Mortality rates decreased during the study period (11.9 [95% CI, 10.7-13.1] per 100 person-years in 2004 vs 10.0 [95% CI, 8.1-12.2] per 100 person-years in 2014; annual adjusted hazard ratio, 0.87 [95% CI, 0.86 to 0.88]) and were lower in those with alcoholic cirrhosis compared with patients with viral hepatitis (adjusted hazard ratio, 0.89 [95% CI, 0.80 to 0.98]). Rates of hepatocellular carcinoma were low in patients younger than 40 years (0.5 [95% CI, 0.2 to 0.9] per 100 person-years). Liver transplant rates were low throughout the study period (0.3 [95% CI, 0.3-0.4] per 100 person-years). In patients with compensated cirrhosis, rates of hepatic decompensation were lower in patients younger than 40 years (adjusted subhazard ratio 0.78; 95% CI, 0.62 to 0.99) and in patients with nonalcoholic steatohepatitis (adjusted subhazard ratio, 0.51; 95% CI, 0.43 to 0.60).

CONCLUSIONS AND RELEVANCE

The population of patients with newly diagnosed cirrhosis in Indiana has experienced changes in the age distribution and cause of cirrhosis, with decreasing mortality rates. These findings support investment in the prevention and treatment of alcoholic liver disease and nonalcoholic steatohepatitis, particularly in younger and older patients. Additional study is needed to identify the reasons for decreasing mortality rates.

Direct-Acting Antivirals for Hepatitis C: Predictors of Early Discontinuation in the Real World

BACKGROUND

The treatment for hepatitis C virus (HCV) infection has evolved over time, and direct-acting antivirals (DAA) have revolutionized HCV therapy.

OBJECTIVES

To (a) assess early treatment discontinuation and (b) identify predictors of early discontinuation in a cohort of patients receiving second-generation DAAs.

METHODS

We identified HCV patients newly prescribed simeprevir/sofosbuvir (SIM/SOF), ledipasvir/sofosbuvir (LDV/SOF), ombitasvir/paritaprevir/ritonavir + dasabuvir (OPrD), sofosbuvir/velpatasvir (SOF/VEL), elbasvir/grazoprevir (EBR/GZR), and glecaprevir/pibrentasvir (GLE/PIB) between 2014 and 2017. Early discontinuation was defined as duration of therapy less than 8 weeks. Multivariable logistic regression was performed to evaluate the association of drug regimens and potential predictive factors to early discontinuation.

RESULTS

We identified 26,098 DAA-treated patients: 67.8% with LDV/SOF, 9.9% with OPrD, 8.5% with SIM/SOF, 7.8% with SOF/VEL, 5.2% with EBR/GZR, and 0.8% with GLE/PIB. With approval of new therapies in 2016 and 2017, use of OPrD, LDV/SOF, and SIM/SOF declined substantially. At baseline, there was some heterogeneity of past HCV drug use and comorbidity across groups; patients on SIM/SOF had the highest frequency of previous interferon, cirrhosis, and decompensated cirrhosis. Most HCV patients received therapy for 8-12 weeks; fewer patients went through 16-week and 24-week therapy courses. Early discontinuation rates (95% CI) were 7.1% (6.0-8.2) for SIM/SOF, 3.2% (2.9-3.5) for LDV/SOF, 9.6% (8.5-10.7) for OPrD, 3.1% (2.3-3.8) for SOF/VEL, 4.2% (3.1-5.3) for EBR/GZR, and 2.5% (0.3-4.7) for GLE/PIB. In multivariable analyses, versus OPrD, patients starting other drug regimens were less likely to discontinue therapy early. Early discontinuation was more common in women, patients with baseline anemia, and Medicare and Medicaid patients.

CONCLUSIONS

These real-world data confirm low rates of early discontinuation in users of second-generation DAAs. Future research focusing on socio-economic and sex/gender issues may help further optimize care for patients with HCV.

DISCLOSURES

This study was funded by the Canadian Institutes of Health Research. Klein has received grants for investigator-initiated trials from ViiV Healthcare, Janssen, Gilead, and Merck, as well as consulting fees from ViiV Healthcare, Merck, and AbbVie. Feld has received research support and/or scientific consulting fees from AbbVie, Contravir, Enanta, Gilead, Janssen, Merck, and Wako. All other authors have no conflicts of interest to declare. Results from this study were presented as a poster at the 34th International Conference of Phamacoepidemiology and Therapeutic Risk Management; August 22-26, 2018; Prague, Czech Republic.

Impact of All-Oral Direct-Acting Antivirals on Clinical and Economic Outcomes in Patients With Chronic Hepatitis C in the United States

Approved treatment for hepatitis C virus (HCV) with all-oral direct-acting antivirals (DAA) therapy is now entering into its fourth year; however, little has been reported on the real-world clinical (decompensated cirrhosis [DCC] and hepatocellular carcinoma [HCC]) and economic outcomes. A retrospective cohort analysis of the Truven Health MarketScan Database (2012-2016) was conducted. In a cohort of 26,105 patients with newly diagnosed HCV, 30% received all-oral DAA therapy (DAA group) and 70% were not treated (untreated group). Multivariate Cox proportional hazards models were used to compare the risk of developing HCC and DCC, stratified by cirrhosis status. Among patients with cirrhosis (n = 2157), DAA therapy was associated with a 72% and a 62% lower incidence of HCC (hazard ratio [HR], 0.28; 95% confidence interval [CI], 0.15-0.52) and DCC (HR, 0.38; 95% CI, 0.26-0.56). Similarly, DAA therapy was associated with a 57% and a 58% lower incidence of HCC (HR, 0.43; 95% CI, 0.26-0.71) and DCC (HR, 0.42; 95% CI, 0.30-0.58) in patients with noncirrhotic HCV (n = 23,948). A propensity score-matched cohort of 8064 HCV-infected patients who had at least a 12-month follow-up after HCV treatment was included for economic analysis. For patients with cirrhosis in the DAA group, the mean adjusted liver-related costs ($1749 vs. $4575; P < 0.001) and all-cause medical costs ($19,300 vs. $33,039; P < 0.001) were significantly lower compared with those in the untreated group. The mean adjusted costs were not statistically different between the two groups among patients without cirrhosis. Conclusion: In the short term, all-oral DAA treatment for HCV infection was associated with a decreased risk of developing HCC and DCC, resulting in decreased health care costs, especially in patients with cirrhosis. A longitudinal study is necessary to confirm our findings.

Positive Predictive Value of International Classification of Diseases, 10th Revision, Codes for Cirrhosis and Its Related Complications

Large administrative databases using International Classification of Diseases (ICD) codes are useful for epidemiologic, health services, and outcomes research.^1,2 However, coding accuracy of disease conditions could be a limiting factor. Cirrhosis prevalence is increasing because of an aging hepatitis C cohort and an increase in nonalcoholic steatohepatitis.³ We previously examined the validity of ICD, 9th revision (ICD-9), codes for cirrhosis in US Department of Veterans Affairs (VA) administrative databases.^4,5 This work has formed the basis for many clinical, epidemiologic, and health services research studies. However, with transition from the ICD-9 to ICD, 10th revision (ICD-10), coding system, it is important to determine the validity of these new cirrhosis codes in administrative databases. Although the greater number of codes in the ICD-10 system may be associated with greater specificity and coding accuracy than with the ICD-9 system, this hypothesis remains untested.

Identifying cirrhosis, decompensated cirrhosis and hepatocellular carcinoma in health administrative data: A validation study

Background

To evaluate screening and treatment strategies, large-scale real-world data on liver disease-related outcomes are needed. We sought to validate health administrative data for identification of cirrhosis, decompensated cirrhosis and hepatocellular carcinoma among patients with known liver disease.

Methods

Primary patient data were abstracted from patients of the Toronto Center for Liver Disease with viral hepatitis (2006–2014), and all patients with liver disease from the Kingston Health Sciences Centre Hepatology Clinic (2013). We linked clinical information to health administrative data and tested a range of coding algorithms against the clinical reference standard.

Results

A total of 6,714 patients had primary chart data abstracted. A single physician visit code for cirrhosis was sensitive (98–99%), and a single hospital diagnostic code for cirrhosis was specific (91–96%). The most sensitive algorithm for decompensated cirrhosis was one cirrhosis code with any of: a hospital diagnostic code, death code, or procedure code for decompensation (range 88–99% across groups). The most specific was one cirrhosis code and one hospital diagnostic code (range 89–98% across groups). Two physician visit codes or a single hospital diagnostic code, death code, or procedure code combined with a code for cirrhosis were sensitive and specific for hepatocellular carcinoma (sensitivity 94–96%, specificity 93–98%).

Conclusion

These sensitive and specific algorithms can be used to define patient cohorts or detect clinical outcomes using health administrative data. Our results will facilitate research into the adequacy of screening and treatment for patients with chronic viral hepatitis or other liver diseases.

Monitoring the hepatitis C care cascade using administrative claims data

OBJECTIVES

With the availability of curative therapies, it is important to ensure that individuals infected with hepatitis C virus (HCV) receive recommended testing, care, and treatment. We sought to evaluate insurance claims data as a source for monitoring progression along the HCV care cascade.

STUDY DESIGN

Longitudinal evaluation of disease progression, from diagnosis to treatment, among commercially insured enrollees with chronic HCV.

METHODS

We validated and used algorithms derived from standardized procedure and diagnosis codes to identify enrollees with chronic HCV in large insurance claims databases to describe the HCV care cascade, including the proportion engaged in HCV-specific care (13 possible definitions), the proportion prescribed HCV treatment, and the proportion who received an HCV RNA test 30 or more days after initiating treatment.

RESULTS

Approximately 90% of individuals with an HCV RNA test procedure code followed by either 3 or more chronic HCV diagnosis codes on different service dates or 2 or more chronic HCV diagnosis codes separated by more than 60 days truly had chronic HCV. Using these algorithms, we identified 5791 HCV cases from January 1, 2013, to June 30, 2014. Among enrollees with HCV, 95% were engaged in HCV care, but only 49% initiated treatment and 43% received a follow-up HCV RNA test 30 or more days after initiating treatment.

CONCLUSIONS

With validated case-finding algorithms, insurance claims data can be used to describe and monitor portions of the HCV care cascade. Although nearly all enrollees with HCV were engaged in HCV care, only half received treatment, indicating that even commercially insured enrollees may find it challenging to access treatment.

Hepatitis B Virus Testing and Care among Pregnant Women Using Commercial Claims Data, United States, 2011-2014

Introduction

Pregnant women should receive hepatitis B virus (HBV) testing with hepatitis B surface antigen (HBsAg), but it is unclear whether HBV-infected pregnant women are linked to care.

Methods

We analyzed MarketScan™ commercial insurance claims. We included pregnant women, aged 10-50 years, with 42 weeks of continuous enrollment before (predelivery) and 6 months after (postdelivery) the first delivery claim for each unique pregnancy between 1/1/2011 and 6/30/2014. We identified claims for HBsAg testing by CPT code and described the care continuum among pregnancies with an associated ICD-9 HBV diagnosis code by demographic and clinical characteristics, including HBV-directed care ([HBV DNA or hepatitis B e antigen] and ALT test codes) and antiviral treatment (claims for tenofovir, entecavir, lamivudine, adefovir, or telbivudine) pre- and postdelivery.

Results

There were 870,888 unique pregnancies (819,752 women) included. Before delivery, 714,830 (82%) pregnancies had HBsAg test claims, but this proportion decreased with subsequent pregnancies (p < 0.0001): second (80%), third (71%), and fourth (61%). We identified 1,190 (0.14%) pregnancies with an associated HBV diagnosis code: most were among women aged ≥ 30 years (76%) residing in the Pacific (34%) or Middle Atlantic (18%) regions. Forty-two percent of pregnancies with an HBV diagnosis received HBV-directed care (42% predelivery and 39% postdelivery). Antiviral treatment was initiated before delivery in 128 (13%) of 975 pregnancies and postdelivery in 16 (1.6%) pregnancies.

Conclusions

While most of these commercially insured pregnant women received predelivery HBV screening, we identified gaps in HBV testing and the HBV care continuum which highlight potential targets for public health interventions.

Risk of Complications After THA Increases Among Patients Who Are Coinfected With HIV and Hepatitis C

BACKGROUND

Individuals coinfected with both hepatitis C virus (HCV) and HIV represent a unique and growing population of patients undergoing orthopaedic surgical procedures. Data regarding complications for HCV monoinfection or HIV monoinfection are robust, but there are no data available, to our knowledge, on patients who have both HCV and HIV infections.

QUESTIONS/PURPOSES

We sought to determine whether patients with coinfection differed in terms of baseline demographics and comorbidity burden as compared with patients without coinfection and whether these potential differences were translated into varying levels of postoperative complications, mortality, and hospital readmission risk. Specifically, we asked: (1) Are there demonstrable differences in baseline demographic variables between patients infected with HCV and HIV and those who do not have those infections (age, sex, race, and insurance status)? (2) Do patients with HCV and HIV infection differ from patients without those infections in terms of other medical comorbidities? (3) Do patients with HCV/HIV coinfection have a higher incidence of early postoperative complications and mortality than patients without coinfection? (4) Is the frequency of readmission greater for patients with HCV/HIV coinfection than those without?

METHODS

The New York Statewide Planning and Research Cooperative System (SPARCS) database was used to identify patients undergoing THA between 2010 and 2014. The SPARCS database is particularly useful because it captures 100% of all New York State inpatient admissions while providing detailed demographic and comorbidity data for a large, heterogeneous patient population with long-term followup. Patients were stratified into four groups based on HCV/HIV status: control patients without disease, HCV monoinfection, HIV monoinfection, and coinfection. We sought to determine whether patients coinfected with HCV and HIV would differ in terms of demographics from patients without those infections and whether patients with HCV and HIV would have a greater risk of complications, longer length of stay, and hospital readmission. A total of 80,722 patients underwent THA between 2010 and 2014. A total of 98.55% (79,554 of 80,722) of patients did not have either HCV or HIV, 0.66% (530 of 80,722) had HCV monoinfection, 0.66% (534 of 80,722) HIV monoinfection, and 0.13% (104 of 80,722) were coinfected with both HCV and HIV. Multivariate analysis was performed controlling for age, sex, insurance, residency status, diagnosis, and comorbidities to allow for an equal comparison between groups.

RESULTS

Patients with coinfection were more likely to be younger, male (odds ratio [OR], 2.90; 95% confidence interval [CI], 2.20-3.13; p < 0.001), insured by Medicaid (OR, 6.43; 4.41-7.55; p < 0.001), have a history of avascular necrosis (OR, 8.76; 7.20-9.53; p < 0.001), and to be homeless (OR, 6.95; 5.31-7.28; p < 0.001) as compared with patients without HIV or HCV. Additionally, patients with coinfection had the highest proportion of alcohol abuse, drug abuse, and tobacco use along with a high proportion of psychiatric disorders, including depression. HCV and HIV coinfection were independent risk factors for increased length of stay (OR, 1.97; 95% CI, 1.29-3.01; p < 0.001), having two or more in-hospital complications (OR, 1.64; 1.01-2.67; p < 0.001), and 90-day readmission rates (OR, 2.97; 1.86-4.77; p < 0.001).

CONCLUSIONS

As the prevalence of HCV and HIV coinfectivity continues to increase, orthopaedic surgeons will encounter a greater number of these patients. Awareness of the demographic and socioeconomic factors leading to increased complications after THA will allow physicians to consider interventions such as in-hospital psychiatric counseling, advanced discharge planning, and coordination with social work and collaboration with HCV/HIV infectious disease specialists to improve patient health status to improve outcomes and reduce costs.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Hospitalizations for Autoimmune Hepatitis Disproportionately Affect Black and Latino Americans

OBJECTIVES

The healthcare burden of autoimmune hepatitis (AIH) in the United States has not been characterized. We previously showed that AIH disproportionately affects people of color in a single hospital system. The current study aimed to determine whether the same disparity occurs nationwide.

METHODS

We analyzed hospitalizations with a primary discharge diagnosis corresponding to the ICD-9 code for AIH in the National Inpatient Sample between 2008 and 2012. For each racial/ethnic group, we calculated the AIH hospitalization rate per 100,000 population and per 100,000 all-cause hospitalizations, then calculated a risk ratio compared to the reference rate among whites. We used multivariable logistic regression models to assess for racial disparities and to identify predictors of in-hospital mortality during AIH hospitalizations.

RESULTS

The national rate of AIH hospitalization was 0.73 hospitalizations per 100,000 population. Blacks and Latinos were hospitalized for AIH at a rate 69% (P<0.001) and 20% higher (P<0.001) than whites, respectively. After controlling for age, gender, payer, residence, zip code income, region, and cirrhosis, black race was a statistically significant predictor for mortality during AIH hospitalizations (odds ratio (OR) 2.81, 95% confidence interval (CI) 1.43, 5.47).

CONCLUSIONS

Hospitalizations for AIH disproportionately affect black and Latino Americans. Black race is independently associated with higher odds of death during hospitalizations for AIH. This racial disparity may be related to biological, genetic, environmental, socioeconomic, and healthcare access and quality factors.

Coinfection with Hepatitis C and HIV Is a Risk Factor for Poor Outcomes After Total Knee Arthroplasty

Background

As medical management continues to improve, orthopaedic surgeons are likely to encounter a greater proportion of patients who have coinfection with human immunodeficiency virus (HIV) and hepatitis-C virus (HCV).

Methods

The New York Statewide Planning and Research Cooperative System (SPARCS) database was used to identify patients undergoing total knee arthroplasty between 2010 and 2014. Patients were stratified into 4 groups on the basis of HCV and HIV status. Differences regarding baseline demographics, length of stay, total charges, discharge disposition, in-hospital complications and mortality, and 90-day hospital readmission were calculated.

Results

Between 2010 and 2014, a total of 137,801 patients underwent total knee arthroplasty. Of those, 99.13% (136,604) of the population were not infected, 0.62% (851) had HCV monoinfection, 0.20% (278) had HIV monoinfection, and 0.05% (68) were coinfected with both HCV and HIV. Coinfected patients were more likely to be younger, female, a member of a minority group, homeless, and insured by Medicare or Medicaid, and to have a history of substance abuse. HCV and HIV coinfection was a significant independent risk factor for increased length of hospital stay (odds ratio [OR], 2.9; 95% confidence interval [CI], 1.75 to 4.81), total hospital charges in the 90th percentile (OR, 2.02; 95% CI, 1.12 to 3.67), ≥2 in-hospital complications (OR, 2.04; 95% CI, 1.04 to 3.97), and 90-day hospital readmission (OR, 3.53; 95% CI, 2.02 to 6.18).

Conclusions

Patients coinfected with both HCV and HIV represent a rare but increasing population of individuals undergoing total knee arthroplasty. Recognition of unique baseline demographics in these patients that may lead to suboptimal outcomes will allow appropriate preoperative management and multidisciplinary coordination to reduce morbidity and mortality while containing costs.

Level of Evidence

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Development and validation of method for defining conditions using Chinese electronic medical record

Background

The adoption of the electronic medical record (EMR) is rapidly growing in China. Constantly evolving, Chinese EMRs contain vast amounts of clinical and financial data, providing tremendous potential for research and policy use; however, they are only partially standardized and contain free text or unstructured data. To utilize the information contained in Chinese EMRs, the development of data extraction methodology is urgently needed. The purpose of this study is to develop and validate methods to extract clinical information from the Chinese EMR for research use.

Methods

Using 2010 to 2014 EMR data from YouAn Hospital, a large teaching hospital affiliated with Capital Medical University in Beijing, China, we developed extraction methods including 40 EMR definitions for defining 6 liver disease, 5 disease severity conditions, and 29 comorbidities and treatments. We conducted a chart review of 450 randomly selected EMRs. Using physician chart review results as a reference, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated to validate each EMR definition.

Results

The sensitivity of the 6 EMR definitions for liver diseases ranged from 78.9 to 100.0 %, and PPV ranged from 82.1 to 100.0 %. The sensitivity of the 5 definitions on disease severity conditions ranged from 91.0 to 100.0 %, and PPV ranged from 79.2 to 100.0 %. Among the 29 EMR definitions for comorbidities and treatments, 23 had sensitivity over 90.0 % and 25 had PPV over 80.0 %. The specificity and NPV for all 40 EMR definitions were over 90.0 %.

Conclusion

The extraction method developed is a valid way of extracting information on liver diseases, comorbidities and related treatments from YouAn hospital EMRs. Our method should be modified for application to other Chinese EMR systems, following our framework for extracting conditions.

Electronic supplementary material

The online version of this article (doi:10.1186/s12911-016-0348-6) contains supplementary material, which is available to authorized users.