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.

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.

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.

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.

In-Hospital Mortality Is Associated With Low-Volume Hip Revision Centers After Septic Revision Total Hip Arthroplasty.

Revision total hip arthroplasty (rTHA) after septic failure is associated with higher morbidity and mortality compared with aseptic revisions. The goals of this study were to characterize (1) the in-hospital mortality rate for patients with septic rTHA, (2) the effect of hospital hip revision surgery volume (HRV) on mortality after septic rTHA, and (3) the independent risk factors associated with in-hospital mortality rates after rTHA with 2-year follow-up. The authors analyzed the Healthcare Cost and Utilization Project State Inpatient Databases of New York and Florida to identify cases of septic rTHA from 2007 to 2012 with International Classification of Diseases, Ninth Revision, codes. The authors included patients with (1) no history of THA for 2 years before the index admission and (2) 2 years of follow-up. Groups with primary THA and aseptic rTHA were identified as control groups. Logistic regression was used to evaluate independent associations. Of 3057 patients with septic rTHA, 5.2% (n=160) had in-hospital mortality vs 2.9% of those with primary THA (n=3525, P=.0001) and 2.1% of those with aseptic rTHA (n=252, P=.0001). Octogenarian status, medium-risk Elixhauser comorbidity score, and high-risk Elixhauser comorbidity score were independent risk factors for mortality (adjusted odds ratio [AOR]=1.587, 95% CI=1.103-2.282, P=.0128; AOR=2.439, 95% CI=1.680-3.541, P<.0001; and AOR=6.367, 95% CI=4.134-9.804, P<.0001, respectively). Undergoing rTHA in a high-HRV hospital was associated with lower odds of in-hospital mortality (AOR=0.539, 95% CI=0.332-0.877, P=.0127). Receiving care in a low-HRV hospital increased the risk of 2-year postoperative patient mortality. Similarly, older age and a higher comorbidity burden were independently associated with increased 2-year postoperative mortality. [Orthopedics. 2022;45(1):57-63.].

In-hospital Mortality after Septic Revision TKA: Analysis of the New York and Florida State Inpatient Databases.

The aims of this study were to investigate (1) in-hospital mortality rates following septic revision total knee arthroplasty (rTKA); (2) compare septic rTKA mortality rates between differing knee revision volume (KRV) hospitals; and (3) identify independent risk factors associated with in-hospital mortality after septic rTKA (up to 2-year follow-up). The Healthcare Cost and Utilization Project State Inpatient Databases of New York and Florida were used to identify septic rTKA, and control groups of aseptic rTKA and primary TKA between 2007 and 2012 via International Classification of Diseases, Ninth Revision codes. Mortality was compared between septic rTKA and aseptic rTKA/primary TKA control groups. Hospital KRV was stratified, and independent risk factors of in-hospital mortality were identified and analyzed using unadjusted and adjusted logistic regression analyses. In this study, 3,531 septic rTKA patients were identified; 105 (3%) patients suffered in-hospital mortality, compared with the control aseptic rTKA (n = 178; 1.7%; p < 0.0001) and primary TKA groups (n = 930; 0.6%; p < 0.0001). Being an octogenarian (adjusted odds ratio [AOR]: 2.361; 95% confidence interval [CI]: 1.514-3.683; p < 0.0002) and having a medium- or high-Elixhauser comorbidity score was associated with in-hospital mortality (AOR: 2.073; 95% CI: 1.334-3.223; p = 0.0012, and AOR: 4.127; 95% CI: 2.268-7.512, p < 0.0001). There were no significant in-hospital mortality rate differences in high- versus medium- versus low-KRV hospitals (1.9 vs. 3.6 vs. 2.9%, respectively, p = 0.0558). Age >81 years and higher comorbidity burden were found to contribute to increased risk of 2-year postoperative mortality after septic rTKA. This association could not be established for hospital KRV.

Greater Prevalence of Mental Health Conditions in Septic Revision Total Knee Arthroplasty: A Call to Action.

The purpose of this study was to compare the prevalence of mental health conditions among patients undergoing (1) primary total knee arthroplasty (pTKA), (2) septic revision total knee arthroplasty (rTKA), and (3) aseptic revision total knee arthroplasty (TKA). The State Inpatient Databases were queried for all TKAs from 2005 to 2014 yielding 563,144 patients. Patients were separated into the following cohorts: primary, septic revision, and aseptic revision. Diagnoses of any mental health condition and the following specific conditions were compared between the three cohorts: schizophrenia/delusion, bipolar disorder, depression/mood disorder, personality disorder, anxiety/somatic/dissociative disorder, eating disorders, attention deficit hyperactivity disorder/conduct/impulse control, alcohol abuse, and drug abuse. Throughout the study period, an increase in the prevalence of mental health conditions was observed in septic and aseptic revision patients. Overall, there was a significantly higher prevalence of mental health conditions in the septic revision cohort (22.7%) compared with the primary (17.8%, p < 0.001) and aseptic revision (20.0%, p < 0.001) cohorts. Specifically, septic revision TKA patients had a higher prevalence of depression (p < 0.001), alcohol abuse (p < 0.001), drug abuse (p < 0.001), schizophrenia (p = 0.0007), and bipolar disorder (p < 0.001), compared with primary TKA patients. Additionally, there was a significantly higher prevalence of depression (p < 0.001), alcohol abuse (p < 0.001), and drug abuse (p < 0.001) among septic revision patients compared with aseptic revision patients. Mental health conditions were significantly higher among septic revision patients. Alcohol and drug abuse were approximately twice as prevalent in septic revision patients compared with primary and aseptic revision patients. These findings should serve as a call to action for mental health support for patients suffering from PJI.

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.

The Role of Frailty in Failure to Rescue After Cardiovascular Surgery.

BACKGROUND: Failure to rescue (FTR) is gaining popularity as a quality metric. The relationship between patient frailty and FTR after cardiovascular surgery has not been fully explored. This study aimed to utilize a national database to examine the impact of patient frailty on FTR. METHODS: Of 5,199,534 patients undergoing cardiovascular surgery between 2000 and 2014, 75,851 (1.5%) were identified from the Nationwide Inpatient Sample database as frail based on the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnoses indicator. Propensity-score matching was used to adjust for patient- and hospital-level characteristics and comorbidities when comparing frail and nonfrail patients. RESULTS: Frail patients were on average older (68 ± 12 years vs 65 ± 12 years; P < .001) and had more comorbidities including heart failure, and chronic lung, liver, or renal disease. Among 68,472 matched pairs, frail patients had significantly higher rates of FTR (13.4% vs 11.9%; P < .001). This contributed to a $39,796 increase in cost per hospitalization (P < .001). Renal failure, respiratory failure, pneumonia, and sepsis were most commonly associated with FTR in frail patients. When hospitals were stratified by risk-adjusted mortality, low-mortality (1st quintile) centers had significantly lower FTR rates and costs among frail patients when compared to high-mortality (5th quintile) centers. CONCLUSIONS: Frailty contributes significantly to FTR after cardiovascular surgery. Frail patients can expect better outcomes with lower costs at cardiac surgical centers of excellence that can adequately manage postoperative outcomes. Preoperative assessment of frailty may better guide risk estimation and identification of patients who would benefit from appropriate prehabilitative interventions to optimize outcomes.

Delays and disparities in diagnosis for adults with epilepsy: Findings from U.S. Medicaid data.

OBJECTIVE: To identify disparities in care pathways and time from first seizure to epilepsy diagnosis, we examined 2010-2014 Medicaid claims (including pharmacy) data from 16 States for individuals with incident epilepsy. METHODS: We identified adults (18-64) with an incident epilepsy diagnosis from 1/2012 through 6/2014. These individuals were enrolled in Medicaid for the entire study period and had no history of anti-epileptic drug (AED) use before their first seizure claim. We identified care pathways and calculated the duration from initial seizure to epilepsy diagnosis. We tested associations between these pathways and race/ethnicity, as well as time differences between care pathways using a Chi-squared and Kruskal-Wallis tests. RESULTS: The 14,337 adults followed five different care pathways. Their overall median duration from first seizure code to epilepsy diagnosis code was 19.0 months (interquartile range: 4.6, 30.4), and 56.0% filled an AED prescription. Some minorities were more likely to follow pathways with increased durations and delay to diagnosis, and the duration to diagnosis varied significantly across the care pathways. SIGNIFICANCE: The many different care pathways seen in people with epilepsy show substantial and significant time delays between first seizure diagnosis and epilepsy diagnosis, including significant racial/ethnic disparities that warrant attention.

Implications of Methicillin-Resistant Staphylococcus aureus Carriage on Cardiac Surgical Outcomes.

BACKGROUND: Staphylococcus aureus remains the most common cause of sternal surgical site infections (SSIs). Opinions on the postoperative implications of preoperative methicillin-resistant S aureus (MRSA) colonization currently differ. This study aimed to investigate whether MRSA carriage affects postoperative outcomes and safety of operation. METHODS: A total of 1,774,811 cardiac surgical patients from 2009 to 2014 were identified from the National Inpatient Sample database. Among these patients, 5798 (0.33%) were MRSA carriers. Propensity-score matching was used to determine the effect of MRSA colonization on outcomes. RESULTS: MRSA carriers did not differ in age or sex from noncarriers, but they more often presented for urgent surgery (P < .001). Among matched pairs, there was no difference in mortality (P = .76), stroke, SSIs, pneumonia, renal failure, cardiac complications, respiratory failure, or prolonged mechanical ventilation. MRSA infection (P < .001), MRSA septicemia (P = 0.03), and blood transfusion (P = .003) occurred more often among MRSA carriers. There was no increase in cost (P = .12), but the hospital length of stay was longer (P = .005). Predictors of MRSA infection among carriers included age older than 85 years, rural hospital location, and diabetes. Carriers with endocarditis and drug abuse were at highest risk for MRSA infection. CONCLUSIONS: MRSA carriers undergoing cardiac surgery are not at higher risk for mortality or SSIs and can expect outcomes similar to those of noncarriers. Higher rates of postoperative MRSA infection and septicemia among carriers, although still very low, support the need for selective preoperative screening and prophylaxis when possible.

Factors affecting readmission rates after pancreatectomy.

BACKGROUND: Pancreatectomy is a complex operation with a historic readmission rate of approximately 20%. Hospital readmissions lead to increased patient and health system costs, morbidity, and mortality making them a topic of great interest. The objective of this study was to identify factors associated with readmission after pancreatectomy in order to target areas for improvement. METHODS: Pancreatectomy procedures for malignancy in adults from 2005 to 2011 were identified in the California State Inpatient Database. Descriptive analysis was conducted to evaluate the association between baseline variables and readmission status. Logistic regression models were developed to determine whether the bivariate associations identified persisted after adjusting for patient characteristics. RESULTS: Of the 4262 patients who underwent a pancreatectomy, 843 (19.8%) were readmitted within 30 days. Readmission rates by year did not vary over the study period. Results from multivariable analysis showed that males, Hispanics, Medicare recipients, patients with an initial length of stay >11 days, patients who were discharged to a skilled nursing facility, and those with chronic anemia were more likely to be readmitted compared to those without these characteristics. The majority of readmissions occurred within 15 days after discharge. CONCLUSIONS: Readmissions after pancreatectomy are multifactorial. Preoperative optimization, minimizing postoperative complications, and assuring patients have been evaluated by a multidisciplinary team may reduce the readmission rate.

Trends and Outcomes of Cardiovascular Surgery in Patients With Opioid Use Disorders.

Importance: Persistent opioid use is currently a major health care crisis. There is a lack of knowledge regarding its prevalence and effect among patients undergoing cardiac surgery. Objective: To characterize the national population of cardiac surgery patients with opioid use disorder (OUD) and compare outcomes with the cardiac surgery population without OUD. Design, Setting, and Participants: In this retrospective population-based cohort study, more than 5.7 million adult patients who underwent cardiac surgery (ie, coronary artery bypass graft, valve surgery, or aortic surgery) in the United States were included. Pregnant patients were excluded. Propensity matching was performed to compare outcomes between cardiac surgery patients with OUD (n = 11 359) and without OUD (n = 5 707 193). The Nationwide Inpatient Sample database was queried from January 1998 to December 2013. Data were analyzed in January 2018. Exposures: Persistent opioid use and/or dependence. Main Outcomes and Measures: In-hospital mortality, complications, length of stay, costs, and discharge disposition. Results: Among the 5 718 552 included patients, 3 887 097 (68.0%) were male; the mean (SD) age of patients with OUD was 47.67 (13.03) years and of patients without OUD was 65.53 (26.14) years. The prevalence of OUD among cardiac surgery patients was 0.2% (n = 11 359), with an 8-fold increase over 15 years (0.06% [262 of 437 641] in 1998 vs 0.54% [1425 of 263 930] in 2013; difference, 0.48%; 95% CI of difference, 0.45-0.51; P < .001). Compared with patients without OUD, patients with OUD were younger (mean [SD] age, 48 [0.30] years vs 66 [0.05] years; P < .001) and more often male (70.8% vs 68.0%; P < .001), black (13.7% vs 4.8%), or Hispanic (9.1% vs 4.8%). Patients with OUD more commonly fell in the first quartile of median income (30.7% vs 17.1%; P < .001) and were more likely to be uninsured or Medicaid beneficiaries (48.6% vs 7.7%; P < .001). Valve and aortic operations were more commonly performed among patients with OUD (49.8% vs 16.4%; P < .001). Among propensity-matched pairs, the mortality was similar between patients with vs without OUD (3.1% vs 4.0%; P = .12), but cardiac surgery patients with OUD had an overall higher incidence of major complications (67.6% vs 59.2%; P < .001). Specifically, the risks of blood transfusion (30.4% vs 25.9%; P = .002), pulmonary embolism (7.3% vs 3.8%; P < .001), mechanical ventilation (18.4% vs 15.7%; P = .02), and prolonged postoperative pain (2.0% vs 1.2%; P = .048) were significantly higher. Patients with OUD also had a significantly longer length of stay (median [SE], 11 [0.30] vs 10 [0.22] days; P < .001) and cost significantly more per patient (median [SE], $49 790 [1059] vs $45 216 [732]; P < .001). Conclusions and Relevance: The population of patients with persistent opioid use or opioid dependency undergoing cardiac surgery has increased over the past decade. Cardiac surgery in patients with OUD is safe but is associated with higher complications and cost. Patients should not be denied surgery because of OUD status but should be carefully monitored postoperatively for complications.

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.

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.

Hematologic Malignancies Are Associated with Adverse Perioperative Outcomes following Total Knee Arthroplasty.

The treatment of hematologic malignancies has advanced over the years, resulting in an improved survival of patients. As a result, these patients may be a part of the increasing population requiring total knee arthroplasty (TKA); however, they might be at a higher risk of adverse perioperative outcomes. The purpose of this study was to determine the perioperative outcomes (complications, length of stay [LOS], and costs) of patients with hematologic malignancies following TKA. This study used the Nationwide Inpatient Sample (NIS) to identify patients who underwent TKA in the United States from 2000 to 2011. Patients diagnosed with any hematologic malignancy (N = 24,714) were then stratified by Hodgkin's disease (N = 791), Non-Hodgkin's lymphoma (N = 7,096), plasma cell dyscrasias (N = 1,621), leukemia (N = 8,005), myeloproliferative disease (N = 5,746), and/or myelodysplastic syndromes (N = 1,608) for determining the complications that occurred during admission. Propensity matching was performed for demographics, hospital characteristics, and comorbidities, which yielded 24,491 patients with any hematologic malignancy and 24,458 control patients. Additionally, propensity matching was performed for the hematologic malignancy subtypes. Multivariable regression models were used to analyze the surgical and medical complications, LOS, and costs. The annual frequency of THA in patients with any hematologic malignancy increased from 2000 to 2011 (p < 0.0001). Hematologic malignancies were associated with an increased risk of any surgery-related complication (odds ratio [OR] = 1.31, p < 0.0001) and any general medical complication (OR = 1.38, p < 0.0001). Patients with any hematologic malignancy had increased odds of complications, including acute postoperative anemia (OR = 1.29, p < 0.0001), hematoma/seroma (OR = 1.65, p < 0.02), peripheral vascular disease (OR = 2.23, p = 0.046), deep venous thrombosis (DVT) (OR = 1.95, p = 0.02), and blood transfusion (OR = 1.61, p < 0.0001). Hematologic malignancies were associated with an increased incremental LOS (0.13 d, p < 0.0001) and an increased incremental cost ($788, p < 0.0001). Thus, we conclude that following TKA, patients with hematologic malignancies are at an increased risk of perioperative complications, longer LOS, and higher costs. The risk quantification for adverse perioperative outcomes in association with an increased cost may help design different risk stratification and reimbursement methods in such patients when undergoing TKA.