Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study.

BACKGROUND: More than one-third of individuals experience post-acute sequelae of SARS-CoV-2 infection (PASC, which includes long-COVID). The objective is to identify risk factors associated with PASC/long-COVID diagnosis. METHODS: This was a retrospective case-control study including 31 health systems in the United States from the National COVID Cohort Collaborative (N3C). 8,325 individuals with PASC (defined by the presence of the International Classification of Diseases, version 10 code U09.9 or a long-COVID clinic visit) matched to 41,625 controls within the same health system and COVID index date within ± 45 days of the corresponding case's earliest COVID index date. Measurements of risk factors included demographics, comorbidities, treatment and acute characteristics related to COVID-19. Multivariable logistic regression, random forest, and XGBoost were used to determine the associations between risk factors and PASC. RESULTS: Among 8,325 individuals with PASC, the majority were > 50 years of age (56.6%), female (62.8%), and non-Hispanic White (68.6%). In logistic regression, middle-age categories (40 to 69 years; OR ranging from 2.32 to 2.58), female sex (OR 1.4, 95% CI 1.33-1.48), hospitalization associated with COVID-19 (OR 3.8, 95% CI 3.05-4.73), long (8-30 days, OR 1.69, 95% CI 1.31-2.17) or extended hospital stay (30 + days, OR 3.38, 95% CI 2.45-4.67), receipt of mechanical ventilation (OR 1.44, 95% CI 1.18-1.74), and several comorbidities including depression (OR 1.50, 95% CI 1.40-1.60), chronic lung disease (OR 1.63, 95% CI 1.53-1.74), and obesity (OR 1.23, 95% CI 1.16-1.3) were associated with increased likelihood of PASC diagnosis or care at a long-COVID clinic. Characteristics associated with a lower likelihood of PASC diagnosis or care at a long-COVID clinic included younger age (18 to 29 years), male sex, non-Hispanic Black race, and comorbidities such as substance abuse, cardiomyopathy, psychosis, and dementia. More doctors per capita in the county of residence was associated with an increased likelihood of PASC diagnosis or care at a long-COVID clinic. Our findings were consistent in sensitivity analyses using a variety of analytic techniques and approaches to select controls. CONCLUSIONS: This national study identified important risk factors for PASC diagnosis such as middle age, severe COVID-19 disease, and specific comorbidities. Further clinical and epidemiological research is needed to better understand underlying mechanisms and the potential role of vaccines and therapeutics in altering PASC course.

Development and Validation of the Summary Elixhauser Comorbidity Score for Use With ICD-10-CM-Coded Data Among Older Adults.

BACKGROUND: Older adults have many comorbidities contributing to mortality. OBJECTIVE: To develop a summary Elixhauser (S-Elixhauser) comorbidity score to predict 30-day, in-hospital, and 1-year mortality in older adults using the 38 comorbidities operationalized by the Agency for Healthcare Research and Quality (AHRQ). DESIGN: Retrospective cohort study. SETTING: Medicare beneficiaries from 2017 to 2019. PATIENTS: Persons hospitalized in 2018 (n = 899 844) and 3 disease-specific hospitalized cohorts. MEASUREMENTS: Weights were derived for 38 comorbidities to predict 30-day, in-hospital, and 1-year mortality. The S-Elixhauser score was internally validated and calibrated. Individual Elixhauser comorbidity indicators (38 comorbidities), the modified application of the AHRQ-derived Elixhauser summary score, the Charlson comorbidity indicators (17 comorbidities), and the Charlson summary score were externally validated. The c-statistic was used to evaluate discrimination of a comorbidity score model. RESULTS: The S-Elixhauser score was well calibrated and internally validated, with a c-statistic of 0.705 (95% CI, 0.703 to 0.707) in predicting 30-day mortality, 0.654 (CI, 0.651 to 0.657) for in-hospital mortality, and 0.743 (CI, 0.741 to 0.744) for 1-year mortality. In external validation of other comorbidity indices for 30-day mortality, the c-statistic was 0.711 (CI, 0.709 to 0.713) for the individual Elixhauser comorbidity indicators, 0.688 (CI, 0.686 to 0.690) for the AHRQ Elixhauser score, 0.696 (CI, 0.694 to 0.698) for the Charlson comorbidity indicators, and 0.690 (CI, 0.688 to 0.693) for the Charlson summary score. In 3 disease-specific populations, the discrimination of the S-Elixhauser score in predicting 30-day mortality ranged from 0.657 to 0.732. LIMITATION: Validation of the S-Elixhauser comorbidity score and head-to-head comparison with other comorbidity scores in an external population are needed to evaluate comparative performance. CONCLUSION: The S-Elixhauser comorbidity score is well calibrated and internally validated but its advantage over the AHRQ Elixhauser and Charlson summary scores is unclear. PRIMARY FUNDING SOURCE: National Institute on Aging.

Real-World Effectiveness of Remdesivir in Adults Hospitalized With Coronavirus Disease 2019 (COVID-19): A Retrospective, Multicenter Comparative Effectiveness Study.

BACKGROUND: There is an urgent need to understand the real-world effectiveness of remdesivir in the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: This was a retrospective comparative effectiveness study. Individuals hospitalized in a large private healthcare network in the United States from 23 February 2020 through 11 February 2021 with a positive test for SARS-CoV-2 and ICD-10 diagnosis codes consistent with symptomatic coronavirus disease 2019 (COVID-19) were included. Remdesivir recipients were matched to controls using time-dependent propensity scores. The primary outcome was time to improvement with a secondary outcome of time to death. RESULTS: Of 96 859 COVID-19 patients, 42 473 (43.9%) received at least 1 remdesivir dose. The median age of remdesivir recipients was 65 years, 23 701 (55.8%) were male, and 22 819 (53.7%) were non-White. Matches were found for 18 328 patients (43.2%). Remdesivir recipients were significantly more likely to achieve clinical improvement by 28 days (adjusted hazard ratio [aHR] 1.19, 95% confidence interval [CI], 1.16-1.22). Remdesivir patients on no oxygen (aHR 1.30, 95% CI, 1.22-1.38) or low-flow oxygen (aHR 1.23, 95% CI, 1.19-1.27) were significantly more likely to achieve clinical improvement by 28 days. There was no significant impact on the likelihood of mortality overall (aHR 1.02, 95% CI, .97-1.08). Remdesivir recipients on low-flow oxygen were significantly less likely to die than controls (aHR 0.85, 95% CI, .77-.92; 28-day mortality 8.4% [865 deaths] for remdesivir patients, 12.5% [1334 deaths] for controls). CONCLUSIONS: These results support the use of remdesivir for hospitalized COVID-19 patients on no or low-flow oxygen. Routine initiation of remdesivir in more severely ill patients is unlikely to be beneficial.

Trends and variation in benzodiazepine use in nursing homes in the USA.

PURPOSE: Because of toxicities, benzodiazepines are not usually recommended in older adults. We therefore sought to describe the trends in benzodiazepine use in long-term care and examine the variation in benzodiazepine use among nursing homes. METHODS: In this retrospective repeated cross-sectional analysis of Medicare Parts A, B, and D claims data linked to the Minimum Data Set from 2013 to 2018, we included long-term residents who stayed in a nursing home for at least one entire quarter of a calendar year in 2013-2018. The outcome was whether residents were prescribed a benzodiazepine drug for at least 30 days during each quarter stay. We use mixed effects logistic regression models to assess the variation in benzodiazepine use among nursing homes, adjusting for patient and nursing home characteristics. RESULTS: The cohort for the time trend analysis included 270,566 unique residents and 1,843,580 quarter stays for 2013-2018. Prescribing rates for short-acting benzodiazepines were stable over 2013-2016, then declined from 12.1% in 2016 to 10.6% in 2018. The rate of long-acting benzodiazepine use remained relatively steady at around 4% over 2013-2018. During 2017-2018, the variation among nursing homes in benzodiazepine use was 7.2% for short-acting vs. 9.3% for long-acting benzodiazepines, after controlling for resident characteristics. CONCLUSION: Prescribing for short-acting benzodiazepines in long-term care declined after 2016, while long-acting benzodiazepine use did not change. The variation in benzodiazepine use among nursing homes is substantial. Identifying factors that explain this variation may help in developing strategies for deprescribing benzodiazepines in nursing home residents.

Use of Hydroxychloroquine, Remdesivir, and Dexamethasone Among Adults Hospitalized With COVID-19 in the United States : A Retrospective Cohort Study.

BACKGROUND: Relatively little is known about the use patterns of potential pharmacologic treatments of COVID-19 in the United States. OBJECTIVE: To use the National COVID Cohort Collaborative (N3C), a large, multicenter, longitudinal cohort, to characterize the use of hydroxychloroquine, remdesivir, and dexamethasone, overall as well as across individuals, health systems, and time. DESIGN: Retrospective cohort study. SETTING: 43 health systems in the United States. PARTICIPANTS: 137 870 adults hospitalized with COVID-19 between 1 February 2020 and 28 February 2021. MEASUREMENTS: Inpatient use of hydroxychloroquine, remdesivir, or dexamethasone. RESULTS: Among 137 870 persons hospitalized with confirmed or suspected COVID-19, 8754 (6.3%) received hydroxychloroquine, 29 272 (21.2%) remdesivir, and 53 909 (39.1%) dexamethasone during the study period. Since the release of results from the RECOVERY (Randomised Evaluation of COVID-19 Therapy) trial in mid-June, approximately 78% to 84% of people who have had invasive mechanical ventilation have received dexamethasone or other glucocorticoids. The use of hydroxychloroquine increased during March 2020, peaking at 42%, and started declining by April 2020. By contrast, remdesivir and dexamethasone use gradually increased over the study period. Dexamethasone and remdesivir use varied substantially across health centers (intraclass correlation coefficient, 14.2% for dexamethasone and 84.6% for remdesivir). LIMITATION: Because most N3C data contributors are academic medical centers, findings may not reflect the experience of community hospitals. CONCLUSION: Dexamethasone, an evidence-based treatment of COVID-19, may be underused among persons who are mechanically ventilated. The use of remdesivir and dexamethasone varied across health systems, suggesting variation in patient case mix, drug access, treatment protocols, and quality of care. PRIMARY FUNDING SOURCE: National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; and National Institute on Aging.

Association Between Chronic Use of Immunosuppresive Drugs and Clinical Outcomes From Coronavirus Disease 2019 (COVID-19) Hospitalization: A Retrospective Cohort Study in a Large US Health System.

BACKGROUND: It is unclear whether chronic use of immunosuppressive drugs worsens or improves the severity of coronavirus disease 2019 (COVID-19), with plausible mechanisms for both. METHODS: Retrospective cohort study in 2121 consecutive adults with acute inpatient hospital admission between 4 March and 29 August 2020 with confirmed or suspected COVID-19 in a large academic health system, with adjustment for confounding with propensity score-derived stabilized inverse probability of treatment weights. Chronic immunosuppression was defined as prescriptions for immunosuppressive drugs current at the time of admission. Outcomes included mechanical ventilation, in-hospital mortality, and length of stay. RESULTS: There were 2121 patients admitted with laboratory-confirmed (1967, 93%) or suspected (154, 7%) COVID-19 during the study period, with a median age of 55 years (interquartile range, 40-67). Of these, 108 (5%) were classified as immunosuppressed before COVID-19, primarily with prednisone (>7.5 mg/day), tacrolimus, or mycophenolate mofetil. Among the entire cohort, 311 (15%) received mechanical ventilation; the median (interquartile range) length of stay was 5.2 (2.5-10.6) days, and 1927 (91%) survived to discharge. After adjustment, there were no significant differences in the risk of mechanical ventilation (hazard ratio [HR], .79; 95% confidence interval [CI], .46-1.35), in-hospital mortality (HR, .66; 95% CI, .28-1.55), or length of stay (HR, 1.16; 95% CI, .92-1.47) among individuals with immunosuppression and counterparts. CONCLUSIONS: Chronic use of immunosuppressive drugs was neither associated with worse nor better clinical outcomes among adults hospitalized with COVID-19 in one US health system.

The concomitant use of tyrosine kinase inhibitors and proton pump inhibitors: Prevalence, predictors, and impact on survival and discontinuation of therapy in older adults with cancer.

BACKGROUND: The concomitant use of tyrosine kinase inhibitors (TKIs) and proton pump inhibitors (PPIs) is a significant concern because of potential drug-drug interaction that reduces TKI absorption, thus potentially reducing the effectiveness of TKIs. The objective of this study was to evaluate the prevalence and predictors of concomitant TKI-PPI receipt and its impact on survival and therapy discontinuation in older adults with cancer. METHODS: This retrospective study used linked Surveillance, Epidemiology, and End Results-Medicare data for the years 2007 through 2012. In total, 12,538 patients with lung cancer, renal cell cancer, chronic myelogenous leukemia, liver cancer, or pancreatic cancer were included. The primary exposure variable was concomitant receipt of TKI-PPI, defined as at least 30 days of PPI use in the first 90 days from the start of the TKI (exposure period). The outcomes measured were overall survival and discontinuation of therapy in 90 days and 1 year after the end of the exposure period. Cox proportional-hazards regression with inverse probability of treatment weighting was used to evaluate the association between exposure and outcome. RESULTS: The overall prevalence of TKI-PPI receipt was 22.7%. Predictors that were associated with increased use included polypharmacy and prior PPI receipt. TKI-PPI use decreased survival in 90 days (hazard ratio, 1.16; 95% confidence interval, 1.05-1.28) and in 1 year (hazard ratio, 1.10; 95% confidence interval, 1.04-1.18) but was not associated with discontinuation. CONCLUSIONS: Nearly 1 in 4 older adults with cancer who receive TKIs also receive PPIs concomitantly, and concomitant use is associated with an increased risk of death. Concerted efforts to manage medications are needed to identify and reduce the receipt of PPIs when TKIs are initiated.

Cost of benign versus oncologic colon resection among fee-for-service Medicare enrollees.

BACKGROUND AND OBJECTIVES: Reimbursement for colonic pathology by the Centers for Medicare and Medicaid Services (CMS) are grouped in the Medicare Severity-Diagnosis Related Groups (MS-DRG). With limited available data, we sought to compare the relative impact of malignant vs benign colonic pathology on reimbursement under the MS-DRG system. METHODS: We used 5% national Medicare data from 2011 to 2014. Patients were classified as having benign disease or malignancy. Descriptive statistics and multivariate regression analysis were used to evaluate the surgical approach and health resource utilization. RESULTS: Of 10 928 patients, most were Non-Hispanic White women. The majority underwent open colectomy in both cohorts (P < .001). Colectomy for benign disease was associated with higher total charges (P < .001) and a longer length of stay (P = .0002). Despite higher charges, payments were not significantly different between the cohorts (P = .434). Both inpatient mortality and discharge to a rehab facility were higher in the oncologic group (P < .001). CONCLUSION: Payment methodology for colectomy under the CMS MS-DRG system does not appear to accurately reflect the episode cost of care. The data suggest that inpatient costs are not fully compensated. A transition to value-based payments with expanded episode duration will require a better understanding of unique costs before adoption.

Adapting the Elixhauser comorbidity index for cancer patients.

BACKGROUND: This study was designed to adapt the Elixhauser comorbidity index for 4 cancer-specific populations (breast, prostate, lung, and colorectal) and compare 3 versions of the Elixhauser comorbidity score (individual comorbidities, summary comorbidity score, and cancer-specific summary comorbidity score) with 3 versions of the Charlson comorbidity score for predicting 2-year survival with 4 types of cancer. METHODS: This cohort study used Texas Cancer Registry-linked Medicare data from 2005 to 2011 for older patients diagnosed with breast (n = 19,082), prostate (n = 23,044), lung (n = 26,047), or colorectal cancer (n = 16,693). For each cancer cohort, the data were split into training and validation cohorts. In the training cohort, competing risk regression was used to model the association of Elixhauser comorbidities with 2-year noncancer mortality, and cancer-specific weights were derived for each comorbidity. In the validation cohort, competing risk regression was used to compare 3 versions of the Elixhauser comorbidity score with 3 versions of the Charlson comorbidity score. Model performance was evaluated with c statistics. RESULTS: The 2-year noncancer mortality rates were 14.5% (lung cancer), 11.5% (colorectal cancer), 5.7% (breast cancer), and 4.1% (prostate cancer). Cancer-specific Elixhauser comorbidity scores (c = 0.773 for breast cancer, c = 0.772 for prostate cancer, c = 0.579 for lung cancer, and c = 0.680 for colorectal cancer) performed slightly better than cancer-specific Charlson comorbidity scores (ie, the National Cancer Institute combined index; c = 0.762 for breast cancer, c = 0.767 for prostate cancer, c = 0.578 for lung cancer, and c = 0.674 for colorectal cancer). Individual Elixhauser comorbidities performed best (c = 0.779 for breast cancer, c = 0.783 for prostate cancer, c = 0.587 for lung cancer, and c = 0.687 for colorectal cancer). CONCLUSIONS: The cancer-specific Elixhauser comorbidity score performed as well as or slightly better than the cancer-specific Charlson comorbidity score in predicting 2-year survival. If the sample size permits, using individual Elixhauser comorbidities may be the best way to control for confounding in cancer outcomes research. Cancer 2018;124:2018-25. © 2018 American Cancer Society.

Impact of psychiatric illness on decreased survival in elderly patients with bladder cancer in the United States.

BACKGROUND: Treatments for muscle-invasive bladder cancer are multimodal, complex, and often carry significant risks of physical and psychological morbidity. The objectives of this study were to define the incidence and types of psychiatric illnesses diagnosed after treatment and to determine their impact on survival outcomes. METHODS: In total, 3709 patients who were diagnosed with clinical stage T2 through T4a bladder cancer from January 1, 2002, to December 31, 2011, from the Surveillance, Epidemiology, and End Results-Medicare were analyzed. Multivariable analysis and Cox proportional-hazards models were used to determine the predictors associated with psychiatric diagnosis and impact on survival outcomes. RESULTS: Of 3709 patients, 1870 (50.4%) were diagnosed with posttreatment psychiatric disorders. Patients who underwent radical cystectomy were identified as being at significantly greater risk of having a posttreatment psychiatric illness compared with those who received radiotherapy and/or chemotherapy (hazard ratio [HR], 1.19; 95% confidence interval [CI], 1.07-1.31; P = .001). In adjusted analyses, diagnosis of a psychiatric disorder resulted in significantly worse overall survival (HR, 2.80; 95% CI, 2.47-3.17; P < .001) and cancer-specific survival (HR, 2.39; 95% CI, 2.05-2.78; P < .001). CONCLUSIONS: One-half of patients with muscle-invasive bladder cancer who underwent treatment were diagnosed with a psychiatric disorder, which resulted in worse survival outcomes compared with patients who did not have a posttreatment psychiatric diagnosis. This information can be used to inform interventions to educate patients with muscle-invasive bladder cancer regarding the impact of different treatments on mental health. Cancer 2018. © 2018 American Cancer Society.

National estimates of 30-day readmissions among children hospitalized for asthma in the United States.

OBJECTIVE: Previous single-center studies have reported that up to 40% of children hospitalized for asthma will be readmitted. The study objectives are to investigate the prevalence and timing of 30-day readmissions in children hospitalized with asthma, and to identify factors associated with 30-day readmissions. METHODS: Data (n = 12,842) for children aged 6-18 years hospitalized for asthma were obtained from the 2013 Nationwide Readmission Database (NRD). The primary study outcome was time to readmission within 30 days after discharge attributable to any cause. Several predictors associated with the risk of admission were included: patient (age, sex, median household income, insurance type, county location, and pediatric chronic complex condition), admission (type, day, emergency services utilization, length of stay (LOS), and discharge disposition), and hospital (ownership, bed size, and teaching status). Cox's proportional hazards model was used to identify predictors. RESULTS: Of 12,842 asthma-related index hospitalizations, 2.5% were readmitted within 30-days post-discharge. Time to event models identified significantly higher risk of readmission among asthmatic children aged 12-18 years, those who resided in micropolitan counties, those with >4-days LOS during index hospitalization, those who were hospitalized in an urban hospital, who had unfavorable discharge (hazard ratio 2.53, 95% confidence interval 1.33-4.79), and those who were diagnosed with a pediatric complex chronic condition, respectively, than children in respective referent categories. CONCLUSION: A multi-dimensional approach including effective asthma discharge action plans and follow-up processes, home-based asthma education, and neighborhood/community-level efforts to address disparities should be integrated into the routine clinical care of asthma children.

Cost-related medication nonadherence among adolescent and young adult cancer survivors.

BACKGROUND: This study investigated cost-related medication nonadherence among survivors of adolescent and young adult cancer and a comparison group in the United States. METHODS: A cross-sectional analysis of the 2013 to 2015 National Health Interview Survey was performed. N=953 patients who were diagnosed with cancer between the ages of 15 and 39 years were identified, and a comparison group was created using propensity scores. Cost-related medication nonadherence was determined by individuals' report of skipping medication, taking less medication, or delaying filling medication to save money in the previous year. Covariates included demographics, insurance status, financial factors (eg, out-of-pocket health care expenditures), and health-related factors (eg, comorbidity and mental distress). Chi-square tests were used to compare nonadherence between survivors and the comparison group. Logistic regressions identified covariates associated with nonadherence. RESULTS: Survivors were more likely to report nonadherence than the comparison group (23.8% vs 14.3%; P < .001). Survivors were also more likely to report that they could not afford medication, asked their physician for lower cost medication, and used alternative therapies in the previous year to save money. Uninsured survivors were more likely to report nonadherence than those privately insured (odds ratio [OR], 3.19; 95% confidence interval [CI], 1.67-6.09). Non-Hispanic black survivors, those who reported greater mental distress, and those with greater comorbidities reported nonadherence more often than their counterparts. Survivors reporting a usual source of care were at a lower risk of nonadherence than those without it (OR, 0.39; 95% CI, 0.18-0.82). CONCLUSIONS: Cost-related communication with survivors may be needed to increase medication adherence. Uninsured and sicker survivors should receive regular screening to improve adherence. Future work should evaluate adherence for specific drugs. Cancer 2017;123:2726-34. © 2017 American Cancer Society.

Safety of Continued Clopidogrel Use in the Preoperative Course of Gastrointestinal Surgery: A Retrospective Cohort Study.

OBJECTIVE: Our study aimed to estimate postoperative bleeding risk in older adults taking clopidogrel before gastrointestinal (GI) surgery, to aid surgeons in decisions regarding clopigogrel cessation. SUMMARY BACKGROUND DATA: Balancing risks of postoperative bleeding associated with continued clopidogrel use and those associated with cessation is difficult for GI surgeons. METHODS: Using 100% Texas Medicare Claims Data from 2006 to 2011, we identified patients undergoing emergent GI surgery. We propensity score matched patients on clopidogrel before surgery to patients not on clopidogrel. Using conditional logistic regression, we compared risks of bleeding events at 1-month postdischarge between groups, adjusting for bleeding risk factors. RESULTS: In total, 1240 patients undergoing emergent GI surgery while treated with clopidogrel were matched to emergency GI surgery patients not treated with clopidogrel. The only significant preoperative differences between groups were higher percent of clopidogrel-treated patients with congestive heart failure, cholecystectomy, and lower percent of clopidogrel-treated patients with colectomy. Mean age was 76.91 (±7.06) and 76.70 (±7.05) years (P = 0.47), and 63.84% and 59.41% of operations were cholecystectomy, in the clopidogrel and nonclopidogrel groups (P = 0.18). In multivariable analyses adjusting for Elixhauser index, hyperlipidemia, confounding drugs, and surgery type, odds ratio for bleeding within 30 days of discharge in those exposed to clopidogrel compared with those not exposed was 1.60 (95% confidence interval, 1.08-2.38), with raw rates of bleeding 6.85% and 4.84%. CONCLUSIONS: Clopidogrel use in older adults through the preoperative period of GI surgery does not significantly increase bleeding events in the month after surgery.

Relative Contributions of Complications and Failure to Rescue on Mortality in Older Patients Undergoing Pancreatectomy.

BACKGROUND: For pancreatectomy patients, mortality increases with increasing age. Our study evaluated the relative contribution of overall postoperative complications and failure to rescue rates on the observed increased mortality in older patients undergoing pancreatic resection at specialized centers. METHODS: We identified 2694 patients who underwent pancreatic resection from the American College of Surgeons' National Surgical Quality Improvement Pancreatectomy Demonstration Project at 37 high-volume centers. Overall morbidity and in-hospital mortality were determined in patients younger than 80 years (N = 2496) and 80 years or older (N = 198). Failure to rescue was the number of deaths in patients with complications divided by the total number of patients with postoperative complications. RESULTS: No significant differences were observed between patients younger than 80 years and those 80 years or older in the rates of overall complications (41.4% vs 39.4%, P = 0.58). In-hospital mortality increased in patients 80 years or older compared to patients younger than 80 years (3.0% vs 1.1%, P = 0.02). Failures to rescue rates were higher in patients 80 years or older (7.7% vs 2.7%, P = 0.01). Across 37 high-volume centers, unadjusted complication rates ranged from 25.0% to 72.2% and failure to rescue rates ranged from 0.0% to 25.0%. Among patients with postoperative complications, comorbidities associated with failure to rescue were ascites, chronic obstructive pulmonary disease, and diabetes. Complications associated with failure to rescue included acute renal failure, septic shock, and postoperative pulmonary complications. CONCLUSIONS: In experienced hands, the rates of complications after pancreatectomy in patients 80 years or older compared to patients younger than 80 years were similar. However, when complications occurred, older patients were more likely to die. Interventions to identify and aggressively treat complications are necessary to decrease mortality in vulnerable older patients.

Comparative Performance of Diagnosis-based and Prescription-based Comorbidity Scores to Predict Health-related Quality of Life.

OBJECTIVES: To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure). METHODS: The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R. RESULTS: Of 140,046 adult participants, the study cohort included 7436 asthma (5.3%), 1054 breast cancer (0.8%), 13,829 diabetes (9.9%), and 937 heart failure (0.7%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7%), breast cancer (31.7%), diabetes (32.7%), and heart failure (20.0%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1%; Elixhauser+CDS=19.6%), breast cancer (HRQoL-CI+CDS=12.9%; Elixhauser+CDS=14.1%), diabetes (HRQoL-CI+CDS=17.7%; Elixhauser+CDS=17.7%), and heart failure (HRQoL-CI+CDS=18.1%; Elixhauser+CDS=17.7%). CONCLUSIONS: HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL.

Comparison of Comorbidity Scores in Predicting Surgical Outcomes.

INTRODUCTION: The optimal methodology for assessing comorbidity to predict various surgical outcomes such as mortality, readmissions, complications, and failure to rescue (FTR) using claims data has not been established. OBJECTIVE: Compare diagnosis-based and prescription-based comorbidity scores for predicting surgical outcomes. METHODS: We used 100% Texas Medicare data (2006-2011) and included patients undergoing coronary artery bypass grafting, pulmonary lobectomy, endovascular repair of abdominal aortic aneurysm, open repair of abdominal aortic aneurysm, colectomy, and hip replacement (N=39,616). The ability of diagnosis-based [Charlson comorbidity score, Elixhauser comorbidity score, Combined Comorbidity Score, Centers for Medicare and Medicaid Services-Hierarchical Condition Categories (CMS-HCC)] versus prescription-based Chronic disease score in predicting 30-day mortality, 1-year mortality, 30-day readmission, complications, and FTR were compared using c-statistics (c) and integrated discrimination improvement (IDI). RESULTS: The overall 30-day mortality was 5.8%, 1-year mortality was 17.7%, 30-day readmission was 14.1%, complication rate was 39.7%, and FTR was 14.5%. CMS-HCC performed the best in predicting surgical outcomes (30-d mortality, c=0.797, IDI=4.59%; 1-y mortality, c=0.798, IDI=9.60%; 30-d readmission, c=0.630, IDI=1.27%; complications, c=0.766, IDI=9.37%; FTR, c=0.811, IDI=5.24%) followed by Elixhauser comorbidity index/disease categories (30-d mortality, c=0.750, IDI=2.37%; 1-y mortality, c=0.755, IDI=5.82%; 30-d readmission, c=0.629, IDI=1.43%; complications, c=0.730, IDI=3.99%; FTR, c=0.749, IDI=2.17%). Addition of prescription-based scores to diagnosis-based scores did not improve performance. CONCLUSIONS: The CMS-HCC had superior performance in predicting surgical outcomes. Prescription-based scores, alone or in addition to diagnosis-based scores, were not better than any diagnosis-based scoring system.

Relative impact of surgeon and hospital volume on operative mortality and complications following pancreatic resection in Medicare patients.

BACKGROUND: Surgeon and hospital volume are both known to affect outcomes for patients undergoing pancreatic resection. The objective was to evaluate the relative effects of surgeon and hospital volume on 30-d mortality and 30-d complications after pancreatic resection among older patients. MATERIALS AND METHODS: The study used Texas Medicare data (2000-2012), identifying high-volume surgeons as those performing ≥4 pancreatic resections/year, and high-volume hospitals as those performing ≥11 pancreatic resections/year, on Medicare patients. Three-level hierarchical logistic regression models were used to evaluate the relative effects of surgeon and hospital volumes on mortality and complications, after adjusting for case mix differences. RESULTS: There were 2453 pancreatic resections performed by 490 surgeons operating in 138 hospitals. Of the total, 4.5% of surgeons and 6.5% of hospitals were high volume. The overall 30-d mortality was 9.0%, and the 30-d complication rate was 40.6%. Overall, 8.9% of the variance in 30-d mortality was attributed to surgeon factors and 9.8% to hospital factors. For 30-d complications, 4.7% of the variance was attributed to surgeon factors and 1.2% to hospital factors. After adjusting for patient, surgeon, and hospital characteristics, high surgeon volume (odds ratio [OR] = 0.54, 95% confidence interval [CI], 0.33-0.87) and high hospital volume (OR = 0.52; 95% CI, 0.30-0.92) were associated with lower risk of mortality; high surgeon volume (OR = 0.71, 95% CI, 0.55-0.93) was also associated lower risk of 30-d complications. CONCLUSIONS: Both hospital and surgeon factors contributed significantly to the observed variance in mortality, but only surgeon factors impacted complications.

Laparoscopy decreases complications for obese patients undergoing elective rectal surgery.

INTRODUCTION: While there are many reported advantages to laparoscopic surgery compared to open surgery, the impact of a laparoscopic approach on postoperative morbidity in obese patients undergoing rectal surgery has not been studied. Our goal was to determine whether obese patients undergoing laparoscopic rectal surgery experienced the same benefits as non-obese patients. METHODS: We identified patients undergoing rectal resections using the National Surgical Quality Improvement Project Participant Use Data File. We performed multivariable analyses to determine the independent association between laparoscopy and postoperative complications. RESULTS: A total of 26,437 patients underwent rectal resection. The mean age was 58.5 years, 32.6 % were obese, and 47.2 % had cancer. Laparoscopic procedures were slightly less common in obese patients compared to non-obese patients (36.0 vs. 38.2 %, p = 0.0006). In unadjusted analyses, complications were lower with the laparoscopic approach in both obese (18.9 vs. 32.4 %, p < 0.0001) and non-obese (15.6 vs. 25.3 %, p < 0.0001) patients. In a multivariable analysis controlling for potential confounders, the risk of postoperative complications increased as the degree of obesity worsened. The likelihood of experiencing a postoperative complication increased by 25, 45, and 75 % for obese class I, obese class II, and obese class III patients, respectively. A laparoscopic approach was associated with a 40 % decreased odds of a postoperative complication for all patients (OR 0.60, 95 % CI 0.56-0.64). CONCLUSION: Laparoscopic rectal surgery is associated with fewer complications when compared to open rectal surgery in both obese and non-obese patients. Obesity was an independent risk factor for postoperative complications. In appropriately selected patients, rectal surgery outcomes may be improved with a minimally invasive approach.

Predictors of smoking cessation medication use among nonobese and obese smokers.

The objective of this study was to identify and compare the predictors of smoking cessation medication use among obese and nonobese adult smokers. A retrospective cross-sectional study was conducted using the Medical Expenditure Panel Survey (MEPS) data (2008-2009). The study participants included smokers aged 18 years and older who self-reported their smoking status as smoker. The outcome variable was utilization of any Food and Drug Administration approved smoking cessation medication (varenicline, bupropion, and nicotine replacement therapy). Multivariable logistic regression analyses were conducted. A total of 82.20 million (weighted sample size for two years) adult smokers were included; of which nearly 30% were obese-smokers. The use of smoking cessation medication was 2.66% and 5.17% among nonobese and obese smokers, respectively. Multivariable logistic regression results showed that race/ethnicity, health insurance coverage, prescription insurance coverage, usual source of health care, urban residence, region, Charlson comorbidity index, and instrumental activities of daily living (IADL), were significant predictors of using smoking cessation medications. The overall smoking cessation medication use rate was low implying limited compliance to guideline. Predictors identified in this study should be taken into consideration in health promotion programs that are designed to optimize the utilization of these smoking cessation medications.