Excess cancer prevalence in men with HIV: A nationwide analysis of Medicaid data.

BACKGROUND: Cancer is one of the most common comorbidities in men living with HIV (MLWH). However, little is known about the MLWH subgroups with the highest cancer burden to which cancer prevention efforts should be targeted. Because Medicaid is the most important source of insurance for MLWH, we evaluated the excess cancer prevalence in MLWH on Medicaid relative to their non-HIV counterparts. METHODS: In this cross-sectional study using 2012 Medicaid Analytic eXtract data nationwide, we flagged the presence of HIV, 13 types of cancer, symptomatic HIV, and viral coinfections using codes from the International Classification of Diseases, Ninth Revision, Clinical Modification. The study population included individuals administratively noted to be of male sex (men), aged 18 to 64 years, with (n = 82,495) or without (n = 7,302,523) HIV. We developed log-binomial models with cancer as the outcome stratified by symptomatic status, age, and race/ethnicity. RESULTS: Cancer prevalence was higher in MLWH than in men without HIV (adjusted prevalence ratio [APR], 1.84; 95% confidence interval [CI], 1.78-1.90) and was higher among those with symptomatic HIV (APR, 2.74; 95% CI, 2.52-2.97) than among those with asymptomatic HIV (APR, 1.73; 95% CI, 1.67-1.79). The highest APRs were observed for anal cancer in younger men, both in the symptomatic and asymptomatic groups: APR, 312.97; 95% CI, 210.27-465.84, and APR, 482.26; 95% CI, 390.67-595.32, respectively. In race/ethnicity strata, the highest APRs were among Hispanic men for anal cancer (APR, 198.53; 95% CI, 144.54-272.68) and for lymphoma (APR, 9.10; 95% CI, 7.80-10.63). CONCLUSIONS: Given the Medicaid program's role in insuring MLWH, the current findings highlight the importance of the program's efforts to promote healthy behaviors and vaccination against human papillomavirus in all children and adolescents and to provide individualized cancer screening for MLWH.

Markers of Quality Care for Newly Diagnosed People With Epilepsy on Medicaid.

BACKGROUND: For newly diagnosed people with epilepsy (PWE), proper treatment is important to improve outcomes, yet limited data exist on markers of quality care. OBJECTIVE: Examine markers of quality care for newly diagnosed PWE. METHODS: Using Medicaid claims data (2010-2014) for 15 states we identified adults 18-64 years of age diagnosed with incident epilepsy in 2012 or 2013. We built 5 sequential logistic regression models to evaluate: (1) seeing a neurologist; (2) diagnostic evaluation; (3) antiepileptic medication adherence; (4) serum drug levels checked; and (5) being in the top quartile of number of negative health events (NHEs). We adjusted for demographics, comorbidities, county-level factors, and the outcomes from all prior models. RESULTS: Of 25,663 PWE, 37.3% saw a neurologist, with decreased odds for those of older age, those residing in counties with low-density of neurologists, and certain race/ethnicities; about 57% of PWE received at least 1 diagnostic test; and nearly 62% of PWE were adherent to their medication. The most common comorbidities were hypertension (37.1%) and psychoses (26.9%). PWE with comorbidities had higher odds of seeing a neurologist and to have NHEs. Substance use disorders were negatively associated with medication adherence and positively associated with high NHEs. CONCLUSIONS: There are notable differences in demographics among people with incident epilepsy who do or do not see a neurologist. Differences in NHEs persist, even after controlling for neurologist care and diagnostic evaluation. Continued attention to these disparities and comorbidities is needed in the evaluation of newly diagnosed PWE.

Changes in Case-Mix and Health Outcomes of Medicare Fee-for-Service Beneficiaries and Managed Care Enrollees During the Years 1992-2011.

BACKGROUND: Recent studies suggest that managed care enrollees (MCEs) and fee-for-service beneficiaries (FFSBs) have become similar in case-mix over time; but comparisons of health outcomes have yielded mixed results. OBJECTIVE: To examine changes in differentials between MCEs and FFSBs both in case-mix and health outcomes over time. DESIGN: Temporal study of the linked Health and Retirement Study (HRS) and Medicare data, comparing case-mix and health outcomes between MCEs and FFSBs across 3 time periods: 1992-1998, 1999-2004, and 2005-2011. We used multivariable analysis, stratified by, and pooled across the study periods. The unit of analysis was the person-wave (n=167,204). SUBJECTS: HRS participants who were also enrolled in Medicare. MEASURES: Outcome measures included self-reported fair/poor health, 2-year self-rated worse health, and 2-year mortality. Our main covariate was a composite measure of multimorbidity (MM), MM0-MM3, defined as the co-occurrence of chronic conditions, functional limitations, and/or geriatric syndromes. RESULTS: The case-mix differential between MCEs and FFSBs persisted over time. Results from multivariable models on the pooled data and incorporating interaction terms between managed care status and study period indicated that MCEs and FFSBs were as likely to die within 2 years from the HRS interview (P=0.073). This likelihood remained unchanged across the study periods. However, MCEs were more likely than FFSBs to report fair/poor health in the third study period (change in probability for the interaction term: 0.024, P=0.008), but less likely to rate their health worse in the last 2 years, albeit at borderline significance (change in probability: -0.021, P=0.059). CONCLUSIONS: Despite the persistence of selection bias, the differential in self-reported fair/poor status between MCEs and FFSBs seems to be closing over time.

Predictors of 30-day readmissions after gastrectomy for malignancy.

BACKGROUND: The objective of this study is to identify risk factors associated with readmission after gastrectomy to potentially identify potential areas for targeted improvements. Hospital readmission after surgery is a topic of interest in health-care policy among hospitals, payers, and providers. Readmissions are associated with increased costs, morbidity, and mortality. Readmission rates have been proposed as a quality metric for hospitals and quality indicator of individual surgeon's performance. In addition, the Centers for Medicare and Medicaid Services has reduced payments to hospitals with excessive readmissions for certain diagnoses. MATERIALS AND METHODS: All gastrectomy procedures for malignancy in patients aged ≥18 y from 2005 to 2011 were queried from the California State Inpatient Database. Patients who died during index admission were excluded. Descriptive statistics were examined between all baseline variables and readmission status. Logistic regression models were adjusted for age, race, sex, and insurance status. RESULTS: A total of 6985 patients underwent gastrectomy for malignancy; 16.5% of the patients were readmitted after postoperative discharge. Readmission rate did not change significantly over time. Multivariable analysis demonstrated that the occurrence of any postoperative complications, postoperative length of stay greater than 10 d, discharge to skilled nursing facility or home health care, combined resection with distal pancreatectomy and/or splenectomy, and patient comorbidities like diabetes mellitus and renal failure were independently associated with readmissions. CONCLUSIONS: The findings suggest that focusing on quality improvement efforts by targeting reduction of postoperative complications may reduce readmission rates.

Psychiatric disease in surgically treated colorectal cancer patients.

BACKGROUND: Underlying psychiatric conditions may affect outcomes of surgical treatment for colorectal cancer (CRC) because of complex clinical presentation and treatment considerations. We hypothesized that patients with psychiatric illness (PSYCH) would have evidence of advanced disease at presentation, as manifested by higher rates of colorectal surgery performed in the presence of obstruction, perforation, and/or peritonitis (OPP-surgery). MATERIALS AND METHODS: Using data from the 2007-2011 National Inpatient Sample, we identified patients with a diagnosis of CRC undergoing colorectal surgery. In addition to somatic comorbid conditions flagged in the National Inpatient Sample, we used the Clinical Classification Software to identify patients with PSYCH, including schizophrenia, delirium/dementia, developmental disorders, alcohol/substance abuse, and other psychiatric conditions. Our study outcome was OPP-surgery. In addition to descriptive analysis, we conducted multivariable logistic regression analysis to analyze the independent association between each of the PSYCH conditions and OPP-surgery, after adjusting for patient demographics and somatic comorbidities. RESULTS: Our study population included 591,561 patients with CRC and undergoing colorectal cancer surgery, of whom 60.6% were aged 65 years or older, 49.4% were women, and 6.3% had five or more comorbid conditions. Then, 17.9% presented with PSYCH. The percent of patients undergoing OPP-surgery was 13.9% in the study population but was significantly higher for patients with schizophrenia (19.3%), delirium and dementia (18.5%), developmental disorders (19.7%), and alcohol/substance abuse (19.5%). In multivariable analysis, schizophrenia, delirium/dementia, and alcohol/substance abuse were each independently associated with increased rates of OPP-surgery. CONCLUSIONS: Patients with PSYCH may have obstacles in receiving optimal care for CRC. Those with PSYCH diagnoses had significantly higher rates of OPP-surgery. Additional evaluation is required to further characterize the clinical implications of advanced disease presentation for patients with PSYCH diagnoses and colorectal cancer.

Etiology of Above-knee Amputations in the United States: Is Periprosthetic Joint Infection an Emerging Cause?

BACKGROUND: Above-knee amputation (AKA) is a morbid procedure and is performed for a number of conditions. Although AKA is usually performed for dysvascular disease, trauma, and malignancy, AKA is also considered in patients who have failed multiple salvage attempts at treating periprosthetic joint infection (PJI) of TKA. Although aggressive measures are being taken to treat PJI, the huge volume of TKAs might result in a large number of AKAs being performed for PJI in the United States. However, the national trends in the incidence of AKAs from different etiologies and the relative contribution of different etiologies to AKA are yet to be studied. QUESTIONS/PURPOSES: (1) What are the temporal trends in the incidence of AKAs (from all causes) in the US population from 1998 to 2013? (2) What are the temporal trends in the incidence of AKAs by etiology (dysvascular disease, trauma, malignancy, and PJI)? (3) What are the temporal trends in the relative contribution of different etiologies to AKA? METHODS: Using the Nationwide Inpatient Sample (NIS) from 1998 to 2013, AKAs were identified using International Classification of Diseases, 9 Revision (ICD-9) procedure code 84.17. The NIS database is the largest all-payer database in the United States containing information on approximately 20% of all the hospital admissions in the country. As a result of its sampling design, it allows for estimation of procedural volumes at the national level. All AKAs were grouped into one of the following five etiologies in a sequential manner using ICD-9 diagnosis codes: malignancy, PJI, trauma, dysvascular disease (peripheral vascular disease, diabetic, or a combination), and others. All of the numbers were converted to national estimates using sampling weights provided by the NIS, and the national incidence of AKAs resulting from various etiologies was calculated using the US population as the denominator. Poisson and linear regression analyses were used to analyze the annual trends. RESULTS: From 1998 to 2013, the incidence of AKAs decreased by 47% from 174 to 92 AKAs per 1 million adults (incidence rate ratio [IRR]; change in the number of AKAs per 1 million adults per year; 0.96; 95% confidence interval [CI], 0.96-0.96; p < 0.001). The incidence of AKAs resulting from PJI increased by 263% (IRR, 1.07; 95% CI, 1.06-1.07; p < 0.001). An increase was also observed for AKAs from malignancy (IRR, 1.01; 95% CI, 1.00-1.02; p = 0.007), although to a smaller extent. AKAs from dysvascular causes (IRR, 0.96; 95% CI, 0.95-0.96; p < 0.001) and other etiologies (IRR, 0.97; 95% CI, 0.96-0.97; p < 0.001) decreased. There was no change in the incidence of AKAs related to trauma (IRR, 1.00; 95% CI, 0.99-1.00; p = 0.088). The proportion of AKAs resulting from PJI increased by 589% from 1998 to 2013 (coefficient = 0.18; 95% CI, 0.15-0.22; p < 0.001). The proportion of AKAs resulting from dysvascular causes decreased (coefficient = 0.18; 95% CI, 0.15-0.22; p < 0.001), whereas that resulting from malignancy (coefficient = 0.04; 95% CI, 0.03-0.05; p < 0.001) and trauma (coefficient = 0.13; 95% CI, 0.09-0.18; p < 0.001) increased. CONCLUSIONS: The incidence of AKAs has decreased in the United States. AKAs related to dysvascular disease and other etiologies such as trauma and malignancy have either substantially decreased or remained fairly constant, whereas that resulting from PJI more than tripled. Given the increased resource utilization associated with limb loss, the results of this study suggest that national efforts to reduce disability should prioritize PJI. Further studies are required to evaluate the risk factors for AKA from PJI and to formulate better strategies to manage PJI. LEVEL OF EVIDENCE: Level III, therapeutic study.

The impact of obesity on cardiac surgery outcomes.

BACKGROUND: A survival benefit for obese patients has been observed in various medical and surgical populations. We examined the effect of obesity on outcomes after cardiac surgery from a large national database. METHODS: A total of 6 648 334 adult patients were identified from the Nationwide Inpatient Sample who underwent cardiac surgery between 1998 and 2011, of who 598 450 were obese. Multivariable regression analysis and propensity score matching were used for comparisons of outcomes and costs. RESULTS: In-hospital mortality was 2.0% for obese patients versus 2.3% for non-obese patients (odds ratio [OR] 0.89, 95% confidence interval [CI] 0.84, 0.94). Obese patients were at increased risk for acute renal failure (OR, 1.20; CI, 1.16, 1.23) and wound infection (OR, 1.29; CI, 1.18, 1.40), but less likely to require blood transfusion (OR, 0.96; CI, 0.94, 0.98). Mean length of stay was the same (8.7 days), with greater mean total charges for obese patients ($103 645 vs $101 763, P < 0.001). CONCLUSION: Obesity is associated with lower in-hospital mortality rates, but a higher incidence of acute renal failure and wound infections.

Racial Disparities in Above-knee Amputations After TKA: A National Database Study.

BACKGROUND: Above-knee amputation (AKA) is a rare but devastating complication of TKA. Although racial disparities have been previously reported in the utilization of TKA, it is unclear whether disparities exist in the rates of AKA after TKA. QUESTIONS/PURPOSES: (1) Which gender-racial group has the highest rate of AKA from septic and aseptic complications of TKA? (2) Which age groups have higher rates of AKA from septic and aseptic complications of TKA? METHODS: Using National Inpatient Sample data from 2000 to 2011, AKAs resulting from complications of TKA were identified using a combination of International Classification of Diseases, 9th Revision procedure and diagnosis codes. Of the 341,954 AKAs identified, 9733 AKAs were the result of complications of TKA (septic complications = 8104, aseptic complications = 1629). Standardized AKA rates were calculated for different age and gender- racial groups by dividing the number of AKAs in each group with the corresponding number of TKAs. Standardized rate ratios were calculated after adjusting for demographics and comorbidities. RESULTS: After adjusting for age and comorbidities, black men had the highest rate of AKA after TKA (adjusted rate in black men = 578 AKAs per 100,000 TKAs, standardized rate ratio [SRR] = 4.32 [confidence interval {CI}, 3.87-4.82], p < 0.001). Black men also had the highest rate of AKA after septic complications of TKA (p < 0.001). The adjusted rates of AKA were higher in patients younger than 50 years (adjusted rate = 473, SRR = 3.14 [CI, 2.94-3.36], p < 0.001) and older than 80 years (adjusted rate = 297, SRR = 1.85 [CI, 1.76-1.95], p < 0.001). CONCLUSIONS: The rising demand for TKA has led to an increase in the number of AKAs performed for complications of TKA in the United States. Although we did not find an increase in the rate of AKA during the study period, certain populations, including black men and patients older than 80 years and younger than 50 years, had higher rates of AKA. Further studies are required to understand the reasons for these disparities and measures should be undertaken to eliminate these disparities. LEVEL OF EVIDENCE: Level III, therapeutic study.

Obesity Epidemic: Is Its Impact on Total Joint Arthroplasty Underestimated? An Analysis of National Trends.

BACKGROUND: Obesity is a well-established risk factor for total joint arthroplasty (TJA) and a number of complications including prosthetic joint infection. The annual changes in the prevalence of obesity among primary, revision, and infected TJA has not been studied at a national level. Given the higher costs of complications of TJA, it is important to understand the association of obesity with the annual trends of revision and infected TJA. QUESTIONS/PURPOSES: (1) Is the prevalence of obesity increasing among patients undergoing THA/TKA? (2) Is the prevalence of obesity increasing among patients undergoing revision THA/TKA? (3) Is the prevalence of obesity increasing among patients with infected THA/TKA? METHODS: Annual volumes of primary, revision, and infected THA and TKA from 1998 to 2011 were obtained from the Nationwide Inpatient Sample. Using mathematical equations, the prevalence of obesity was estimated from relative risks and national obesity prevalence. National obesity prevalence was obtained from public health sources and the relative risk estimates were obtained from previously published meta-analyses and population-based studies. Annual prevalence of obesity was obtained by dividing the number of obese primary/revision/infected procedures in each year by the total number of corresponding procedures in that year. Annual changes in the prevalence of obesity were analyzed using linear regression. RESULTS: The prevalence of obesity is increasing among patients undergoing THA (1998: 60,264 of 154,337 [39%], 2011: 160,241 of 305,755 [52%], increase of 1.05%/year [confidence interval {CI}, 0.95%-1.15%], p < 0.001) and TKA (1998: 143,681 of 251,309 [57%], 2011: 448,712 of 644,243 [70%], increase of 0.97%/year [CI, 0.87%-1.07%], p < 0.001). There was an increasing prevalence of obesity with THA revisions (1998: 16,322 of 34,139 [48%], 2011: 33,304 of 54,453 [61%], increase of 1.04%/year [CI, 0.94%-1.15%], p < 0.001) and in TKA revisions (1998: 16,837 of 26,539 [63%], 2011: 52,151 of 69,632 [75%], increase of 0.89%/year [CI, 0.79%-0.99%], p < 0.001). There was an increasing prevalence of obesity with THA infections (1998: 2068 of 3018 [69%], 2011: 6856 of 8687 [79%], increase of 0.80%/year [CI, 0.71%-0.89%], p < 0.001) and in TKA infections (1998: 3563 of 4684 [76%], 2011: 14,178 of 16,774 [85%], increase of 0.65%/year [CI, 0.57%-0.73%], p < 0.001). CONCLUSIONS: The prevalence of obesity has increased in patients undergoing primary, revision, and infected TJA in United States. The obesity epidemic appears to be related to the growing trends of revision and infection after TJA. With the obesity rates expected to grow further, the revision and infection burden associated with obesity may increase in the future. LEVEL OF EVIDENCE: Level II, prognostic study.

Temporal Relations of Unplanned Readmissions Following Total Knee Arthroplasty: A Study of Large State Inpatient Databases.

BACKGROUND: Centers for Medicare & Medicaid Services stipulate a 90-day global period for hospitals for unplanned readmissions after primary total knee arthroplasty (TKA). However, not all readmissions are directly attributable to index surgery, and reasons for readmissions vary during this time period. This study identifies causes and temporal relations of readmissions using large state inpatient databases. METHODS: State inpatient databases of New York and California were queried for all primary TKAs performed from 2005 to 2011 and frequencies of all causes of unplanned readmission were identified from 0 to 90 days after index surgery using the International Classification of Diseases, Ninth Revision, codes. Temporal differences in proportions of readmission diagnoses were tested using the Pearson chi-square test. RESULTS: The query identified 419,805 cases of primary TKA from 2005 to 2011. There were 26,924 readmissions during the 90-day recovery period, with 15,547 (57.7%) at 0-30 days, 6593 (24.5%) at 31-60 days, and 4784 (17.8%) at 61-90 days. Primary diagnoses at readmission that were identified to be directly attributable to surgery comprised 38.3% readmissions at 0-30 days, 24.0% at 31-60 days, and 16.3% at 60-90 days. Proportion of readmissions directly attributable to surgery decreased over the 90-day period after index surgery. CONCLUSION: From this analysis of 2 large state inpatient databases, primary diagnoses at readmission vary with time, and majority of these may not be directly attributable to index surgery or postoperative state up to 90 days. These findings suggest that the current 90-day global period policy for this procedure should be reformed to better reflect the profile of unplanned readmissions after TKA.

The Impact of Solid Organ Transplant History on Inpatient Complications, Mortality, Length of Stay, and Cost for Primary Total Hip Arthroplasty Admissions in the United States.

BACKGROUND: As the prevalence of and life expectancy after solid organ transplantation increases, some of these patients will require total hip arthroplasty (THA). Immunosuppressive therapy, metabolic disorders, and post-transplant medications may place transplant patients at higher risk of adverse events following surgery. The objective of this study was to compare inpatient complications, mortality, length of stay (LOS), and costs for THA patients with and without solid organ transplant history. METHODS: A retrospective cross-sectional analysis was conducted using 1998-2011 Nationwide Inpatient Sample. Primary THA patients were queried (n = 3,175,456). After exclusions, remaining patients were assigned to transplant (n = 7558) or non-transplant groups (n = 2,772,943). After propensity score matching, adjusted for patient and hospital characteristics, logistic regression and paired t-tests examined the effect of transplant history on outcomes. RESULTS: Between 1998 and 2011, THA volume among transplant patients grew approximately 48%. The overall prevalence of one or more complications following THA was greater in the transplant group than in the non-transplant group (32.0% vs 22.1%; P < .001). In-hospital mortality was minimal, with comparable rates (0.1%) in both groups (P = .93). Unadjusted trends show that transplant patients have greater annual and overall mean LOS (4.47 days) and mean admission costs ($18,402) than non-transplant patients (3.73 days; $16,899; P < .001). After propensity score matching, transplant history was associated with increased complication risk (odds ratio, 1.56) after THA, longer hospital LOS (+0.64 days; P < .001), and increased admission costs (+$887; P = .005). CONCLUSION: Transplant patients exhibited increased odds of inpatient complications, longer LOS, and greater admission costs after THA compared with non-transplant patients.

Does Multiple Sclerosis Affect the Inpatient Perioperative Outcomes After Total Hip Arthroplasty?

BACKGROUND: There is a paucity of studies evaluating the short-term perioperative outcomes of total hip arthroplasty (THA) in multiple sclerosis (MS) patients. Therefore, this study evaluated (1) patient factors; and (2) patient outcomes in MS THA patients compared to non-MS THA patients. METHODS: The Nationwide Inpatient Sample from 2002 to 2013 identified 5899 MS and 2,723,652 non-MS THA patients. Yearly trends, demographics, and comorbidities were compared, and then non-MS THA patients were matched (3:1) to MS THA patients by age, gender, race, comorbidity score, and surgery year. Regression analyses compared perioperative complications (any, surgical, medical), length of stay (LOS), and discharge dispositions. RESULTS: The annual prevalence of MS in THA patients increased from 1.36 per 1000 THAs in 2002 to 2.54 per 1000 THAs in 2013 (P = .004). MS patients were younger, more likely female, take corticosteroids, have hip osteonecrosis, and have gait abnormalities. Compared to matched cohort, MS patients had a higher risk of any surgical (odds ratio [OR] = 1.18; 95% confidence interval [95% CI], 1.02-1.37) and any medical (OR = 1.55; 95% CI, 1.34-1.81) complications, an 8.24% longer mean LOS (95% CI, 5.61-10.94; <0.0001) and were more likely to be discharged to a care facility (OR = 2.09; 95% CI, 1.82-2.40). CONCLUSION: Orthopedic surgeons should be cognizant of the potential increased risks after THA in MS patients. Neurologists and other practitioners may help optimize and enhance the preoperative care of potential THA candidates, and provide guidance as to the appropriate timing of intervention for hip issues in MS patients.

Hematologic Malignancies Are Associated With Adverse Perioperative Outcomes After Total Hip Arthroplasty.

BACKGROUND: Advancements in treating hematologic malignancies have improved survival, and these patients may be part of the growing population undergoing total hip arthroplasty (THA). Therefore, the purpose of this study was to evaluate the perioperative outcomes of THA in patients with hematologic malignancies. METHODS: The Nationwide Inpatient Sample identified patients who underwent THA from 2000 to 2011 (n = 2,864,412). Patients diagnosed with any hematologic malignancy (n = 18,012) were further stratified into Hodgkin disease (n = 786), non-Hodgkin lymphoma (n = 5062), plasma cell dyscrasias (n = 2067), leukemia (n = 5644), myeloproliferative neoplasms (n = 3552), and myelodysplastic syndromes (n = 1082). Propensity matching for demographics, hospital characteristics, and comorbidities identified 17,810 patients with any hematologic malignancy and 17,888 controls; additional matching was performed to compare hematologic malignancy subtypes with controls. Multivariate regression was used to analyze surgical and medical complications, length of stay (LOS), and costs. RESULTS: Compared to controls, hematologic malignancies increased the risk of any surgery-related complication (odds ratio [OR], 1.4; P < .0001) and any general medical complication (OR, 1.47; P < .0001). Additionally, hematologic malignancies were associated with an increase in LOS (0.16 days; P = .004) and increased costs ($1,101; P < .0001). CONCLUSION: Patients with hematologic malignancies undergoing THA have an increased risk of perioperative complications, longer LOS, and higher costs. The risk quantification for adverse perioperative outcomes in association with increased cost may help to design different risk stratification and reimbursement methods in such populations.

Tissue valves are preferable for patients with end-stage renal disease: an aggregate meta-analysis.

BACKGROUND: Valve selection in patients with end-stage renal disease (ESRD) is uncertain. We performed a systematic review and meta-analysis to compare clinical outcome in ESRD patients undergoing valve replacement. METHODS: We systematically searched multiple databases (2000-October 2015) to identify original studies comparing adverse events between mechanical and biological valve replacement in ESRD patients. End-points studied were: postoperative mortality, bleeding events, need for re-operation, and late survival. A random-effect inverse-variance weighted analysis was performed; event rates are compared as odds ratio (OR and 95% confidence interval) and hazard ratios (HR) for time-to-event data. Mechanical valve and tissue valve replacement were considered as study and control cohorts, respectively. RESULTS: Fifteen retrospective studies (5523 mechanical and 1600 tissue valve) were included in our meta-analysis. Early mortality was comparable (OR 1.15 [0.77; 1.72]; p = 0.49). The mean follow-up among studies ranged from 1.6-15 years. Bleeding was significantly higher after mechanical valve replacement (OR 2.55 [1.53; 4.26]; p = 0.0003). Structural valve degeneration was present in only 0.6% patients after a tissue valve replacement. Overall survival after valve replacement was poor (median 2.61 years); valve choice did not influence this outcome (pooled HR 0.87 [0.73; 1.04]; p = 0.14). CONCLUSION: Operative mortality in ESRD patients is comparable between mechanical and tissue valve replacement. Major bleeding episodes are significantly higher after mechanical valve replacement but structural degeneration in tissue valves during the follow-up period is low. Based on the findings from this meta-analysis, we would recommend using tissue valves in patients with ESRD.

Early Postoperative Outcomes of Primary Total Knee Arthroplasty After Solid Organ Transplantation in the United States, 1998-2011.

This review of the Nationwide Inpatient Sample (1998-2011) examined trends in solid organ transplant patients who received a total knee arthroplasty (TKA) to determine whether length of stay (LOS), cost, and perioperative complications differed from non-transplant peers. Primary TKA patients (n=5,870,421) were categorized as: (1) those with a history of solid organ transplant (n=6104) and (2) those without (n=5,864,317). Propensity matching was used to estimate adjusted effects of solid organ transplant history on perioperative outcomes. The percentage of TKA patients with a transplant history grew during the study period from 0.069% to 0.103%. Adjusted outcomes showed patients with a transplant had a 0.44 day longer LOS, $962 higher cost of admission, and were 1.43 times more likely to suffer any complication (P=0.0002).

Care Delivery in Community Health Centers Before, During, and After the COVID-19 Pandemic (2019-2022).

INTRODUCTION: Health centers provide primary and behavioral health care to the nation's safety net population. Many health centers served on the frontlines of the COVID-19 pandemic, which brought major changes to health center care delivery. OBJECTIVE: To elucidate primary care and behavioral health service delivery patterns in health centers before and during the COVID-19 public health emergency (PHE). METHODS: We compared annual and monthly patients from 2019 to 2022 for new and established patients by visit type (primary care, behavioral health) and encounter visits by modality (in-person, telehealth) across 218 health centers in 13 states. RESULTS: There were 1581,744 unique patients in the sample, most from health disparate populations. Review of primary care data over 4 years show that health centers served fewer pediatric patients over time, while retaining the capacity to provide to patients 65+. Monthly data on encounters highlights that the initial shift in March/April 2020 to telehealth was not sustained and that in-person visits rose steadily after November/December 2020 to return as the predominant care delivery mode. With regards to behavioral health, health centers continued to provide care to established patients throughout the PHE, while serving fewer new patients over time. In contrast to primary care, after initial uptake of telehealth in March/April 2020, telehealth encounters remained the predominant care delivery mode through 2022. CONCLUSION: Four years of data demonstrate how COVID-19 impacted delivery of primary care and behavioral health care for patients, highlighting gaps in pediatric care delivery and trends in telehealth over time.

Evaluation of a Remote Patient Monitoring Program During the COVID-19 Pandemic: Retrospective Case Study With a Mixed Methods Explanatory Sequential Design.

BACKGROUND: Community health center (CHC) patients experience a disproportionately high prevalence of chronic conditions and barriers to accessing technologies that might support the management of these conditions. One such technology includes tools used for remote patient monitoring (RPM), the use of which surged during the COVID-19 pandemic. OBJECTIVE: The aim of this study was to assess how a CHC implemented an RPM program during the COVID-19 pandemic. METHODS: This retrospective case study used a mixed methods explanatory sequential design to evaluate a CHC's implementation of a suite of RPM tools during the COVID-19 pandemic. Analyses used electronic health record-extracted health outcomes data and semistructured interviews with the CHC's staff and patients participating in the RPM program. RESULTS: The CHC enrolled 147 patients in a hypertension RPM program. After 6 months of RPM use, mean systolic blood pressure (BP) was 13.4 mm Hg lower and mean diastolic BP 6.4 mm Hg lower, corresponding with an increase in hypertension control (BP<140/90 mm Hg) from 33.3% of patients to 81.5%. Considerable effort was dedicated to standing up the program, reinforced by organizational prioritization of chronic disease management, and by a clinician who championed program implementation. Noted barriers to implementation of the RPM program were limited initial training, lack of sustained support, and complexities related to the RPM device technology. CONCLUSIONS: While RPM technology holds promise for addressing chronic disease management, successful RPM program requires substantial investment in implementation support and technical assistance.

Care Quality and Equity in Health Centers During and After the COVID-19 Pandemic.

INTRODUCTION: Federally Qualified Community Health Centers (FQHCs) are on the frontline of efforts to improve healthcare equity and reduce disparities exacerbated by the COVID-19 pandemic. This study assesses the provision and equity of preventive care and chronic disease management by FQHCs before, during, and after the pandemic. METHODS: Using electronic health record data from 210 FQHCs nationwide and employing segmented regression in an interrupted time series design, preventive screening and chronic disease management were assessed for 939,053 patients from 2019 to 2022. Care measures included cancer screenings, blood pressure control, diabetes control, and childhood immunizations; patient-level factors including race and ethnicity, language preference, and multimorbidity status were analyzed for equitable care provision. Analyses were conducted in 2023-2024. RESULTS: Cancer screening rates and blood pressure control initially declined after the onset of the pandemic but later rebounded, while diabetes control showed a slight increase, later stabilizing. Racial and ethnic disparities persisted, with Asian individuals having a higher prevalence of screenings and blood pressure control, and Black/African American individuals facing a lower prevalence for most screenings but a higher prevalence for cervical cancer screening. Hispanic/Latino individuals had a higher prevalence of various screenings and diabetes control. Disparities persisted for Native Hawaiian/Other Pacific Islander and American Indian/Alaska Native individuals and were observed based on language and multimorbidity status. CONCLUSIONS: While preventive screening and chronic disease management in FQHCs have largely rebounded to pre-pandemic levels following an initial decline, persistent disparities highlight the need for targeted interventions to support FQHCs in addressing healthcare inequities.

Variation in multimorbidity by sociodemographics and social drivers of health among patients seen at community-based health centers.

Purpose: Understanding variation in multimorbidity across sociodemographics and social drivers of health is critical to reducing health inequities. Methods: From the multi-state OCHIN network of community-based health centers (CBHCs), we identified a cross-sectional cohort of adult (> 25 years old) patients who had a visit between 2019-2021. We used generalized linear models to examine the relationship between the Multimorbidity Weighted Index (MWI) and sociodemographics and social drivers of health (Area Deprivation Index [ADI] and social risks [e.g., food insecurity]). Each model included an interaction term between the primary predictor and age to examine if certain groups had a higher MWI at younger ages. Results: Among 642,730 patients, 28.2% were Hispanic/Latino, 42.8% were male, and the median age was 48. The median MWI was 2.05 (IQR: 0.34, 4.87) and was higher for adults over the age of 40 and American Indians and Alaska Natives. The regression model revealed a higher MWI at younger ages for patients living in areas of higher deprivation. Additionally, patients with social risks had a higher MWI (3.16; IQR: 1.33, 6.65) than those without (2.13; IQR: 0.34, 4.89) and the interaction between age and social risk suggested a higher MWI at younger ages. Conclusions: Greater multimorbidity at younger ages and among those with social risks and living in areas of deprivation shows possible mechanisms for the premature aging and disability often seen in community-based health centers and highlights the need for comprehensive approaches to improving the health of vulnerable populations.

Cancer burden in women with HIV on Medicaid: A nationwide analysis.

BACKGROUND: Cancer is the leading cause of death in people living with HIV. In the United States, nearly 1 in 4 people living with HIV are women, more than half of whom rely on Medicaid for healthcare coverage. OBJECTIVE: The objective of this study is to evaluate the cancer burden of women living with HIV on Medicaid. DESIGN: We conducted a cross-sectional study of women 18-64 years of age enrolled in Medicaid during 2012, using data from Medicaid Analytic eXtract files. METHODS: Using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes, we identified women living with HIV (n = 72,508) and women without HIV (n = 17,353,963), flagging the presence of 15 types of cancer and differentiating between AIDS-defining cancers and non-AIDS-defining cancers. We obtained adjusted prevalence ratios and 95% confidence intervals for each cancer and for all cancers combined, using multivariable log-binomial models, and additionally stratifying by age and race/ethnicity. RESULTS: The highest adjusted prevalence ratios were observed for Kaposi's sarcoma (81.79 (95% confidence interval: 57.11-117.22)) and non-Hodgkin's lymphoma (27.69 (21.67-35.39)). The adjusted prevalence ratios for anal and cervical cancer, both of which were human papillomavirus-associated cancers, were 19.31 (17.33-21.51) and 4.20 (3.90-4.52), respectively. Among women living with HIV, the adjusted prevalence ratio for all cancer types combined was about two-fold higher (1.99 (1.86-2.14)) in women 45-64 years of age than in women 18-44 years of age. For non-AIDS-defining cancers but not for AIDS-defining cancers, the adjusted prevalence ratios were higher in older than in younger women. There was no significant difference in the adjusted prevalence ratios for all cancer types combined in the race/ethnicity-stratified analyses of the women living with HIV cohort. However, in cancer type-specific sub-analyses, differences in adjusted prevalence ratios between Hispanic versus non-Hispanic women were observed. For example, the adjusted prevalence ratio for Hispanic women for non-Hodgkin's lymphoma was 2.00 (1.30-3.07) and 0.73 (0.58-0.92), respectively, for breast cancer. CONCLUSION: Compared to their counterparts without HIV, women living with HIV on Medicaid have excess prevalence of cervical and anal cancers, both of which are human papillomavirus related, as well as Kaposi's sarcoma and lymphoma. Older age is also associated with increased burden of non-AIDS-defining cancers in women living with HIV. Our findings emphasize the need for not only cancer screening among women living with HIV but also for efforts to increase human papillomavirus vaccination among all eligible individuals.