A sampling strategy for longitudinal and cross-sectional analyses using a large national claims database.

Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs involved in obtaining the data, a method of randomly drawing a representative sample for retrospective cohort studies with multi-year follow-up is not well-documented. Objective: To present a method to construct longitudinal patient samples from Medicare claims files that are representative of Medicare populations each year. Design: Retrospective cohort and cross-sectional designs. Participants: US Medicare beneficiaries with diabetes over a 10-year period. Methods: Medicare Master Beneficiary Summary Files were used to identify eligible patients for each year in over a 10-year period. We targeted a sample of ~900,000 patients per year. The first year's sample is stratified by county and race/ethnicity (white vs. minority), and targeted at least 250 patients in each stratum with the remaining sample allocated proportional to county population size with oversampling of minorities. Patients who were alive, did not move between counties, and stayed enrolled in Medicare fee-for-service (FFS) were retained in the sample for subsequent years. Non-retained patients (those who died or were dropped from Medicare) were replaced with a sample of patients in their first year of Medicare FFS eligibility or patients who moved into a sampled county during the previous year. Results: The resulting sample contains an average of 899,266 ± 408 patients each year over the 10-year study period and closely matches population demographics and chronic conditions. For all years in the sample, the weighted average sample age and the population average age differ by <0.01 years; the proportion white is within 0.01%; and the proportion female is within 0.08%. Rates of 21 comorbidities estimated from the samples for all 10 years were within 0.12% of the population rates. Longitudinal cohorts based on samples also closely resembled the cohorts based on populations remaining after 5- and 10-year follow-up. Conclusions and relevance: This sampling strategy can be easily adapted to other projects that require random samples of Medicare beneficiaries or other national claims files for longitudinal follow-up with possible oversampling of sub-populations.

Visit-to-visit systolic blood pressure variability is associated with increased fatigue symptoms in multiple sclerosis patients.

OBJECTIVE: To evaluate the relationship between visit-to-visit systolic blood pressure variability (SBPv) and fatigue symptoms in Multiple Sclerosis (MS) patients. METHODS: This is a cross-sectional study using data for MS patients who completed the Fatigue Subscale in the Performance Scales (PS), a validated, self-reported measure of MS-related disability, between 2011 and 2015 at an academic medical center. Those who had at least 3 available SBP measures within the prior 12 months of the survey were included in the analysis. Ordinal logistic regression was used to model fatigue as a function of SBP variability, adjusting for demographic factors and mean SBP. RESULTS: Data for 91 MS subjects were analyzed. We found that, compared to those with the lowest SBP variability (Tertile 1), subjects in Tertile 2 had 2.2 times higher odds (OR = 2.19; 95% CI, 0.82-5.87; p = 0.120) and those in Tertile 3 (highest variability) 4.2 times higher odds (OR = 4.16; 95% CI, 1.56-11.13; p = 0.005) of being in a higher fatigue level group, independent of age, sex, race/ethnicity, and mean SBP. CONCLUSIONS: Our data show that MS patients with higher SBP variability had a greater degree of fatigue. Future research is needed to further explore this relationship and the potential for therapeutic opportunities to improve fatigue.

Annual wellness visits are associated with increased use of preventive services in patients with diabetes living in the Diabetes Belt.

Objective: To examine whether Annual Wellness Visits (AWVs) were associated with increased use of preventive services in Medicare patients with diabetes living in the Diabetes Belt. Methods: We used a case-control design where outcomes were utilization of preventive services recommended for patients with diabetes (foot exam, eye exam, A1c test, and microalbuminuria test) and the exposure was AWVs using data for Medicare patients with diabetes in 2014 - 2015 residing in the Diabetes Belt (N = 412,009). Results: Only 13.4% of patients in 2014 and 17.4% in 2015 used AWVs. Eye exams (61% vs 53%), foot exams (93% vs 79%), A1c tests (81% vs 71%), and microalbuminuria tests (45% vs 28%) were more common among patients who had an AWV in the preceding year compared with those who did not. These differences remained significant after adjusting for patient demographics, comorbidities, county level medical resources, and geographic factors. Conclusions: AWVs were significantly associated with increased preventive care use among patients with diabetes living in the Diabetes Belt. Low AWV utilization by patients with diabetes in and around the Diabetes Belt is concerning.

Evaluating efficiency of counties in providing diabetes preventive care using data envelopment analysis.

For patients with diabetes, annual preventive care is essential to reduce the risk of complications. Local healthcare resources affect the utilization of diabetes preventive care. Our objectives were to evaluate the relative efficiency of counties in providing diabetes preventive care and explore potential to improve efficiencies. The study setting is public and private healthcare providers in US counties with available data. County-level demographics were extracted from the Area Health Resources File using data from 2010 to 2013, and individual-level information of diabetes preventive service use was obtained from the 2010 Behavioral Risk Factor Surveillance System. 1112 US counties were analyzed. Cluster analysis was used to place counties into three similar groups in terms of economic wellbeing and population characteristics. Group 1 consisted of metropolitan counties with prosperous or comfortable economic levels. Group 2 mostly consisted of non-metropolitan areas between distress and mid-tier levels, while Group 3 were mostly prosperous or comfortable counties in metropolitan areas. We used data enveopement analysis to assess efficiencies within each group. The majority of counties had modest efficiency in providing diabetes preventive care; 36 counties (57.1%), 345 counties (61.1%), and 263 counties (54.3%) were inefficient (efficiency scores < 1) in Group 1, Group 2, and Group 3, respectively. For inefficient counties, foot and eye exams were often identified as sources of inefficiency. Available health professionals in some counties were not fully utilized to provide diabetes preventive care. Identifying benchmarking targets from counties with similar resources can help counties and policy makers develop actionable strategies to improve performance.

Pulse arrival time, a novel sleep cardiovascular marker: the multi-ethnic study of atherosclerosis.

BACKGROUND: Pulse arrival time (PAT) is commonly used to estimate blood pressure response. We hypothesised that PAT response to obstructive respiratory events would be associated with increased cardiovascular risk in people with obstructive sleep apnoea. METHODS: PAT, defined as the time interval between electrocardiography R wave and pulse arrival by photoplethysmography, was measured in the Multi-Ethnic Study of Atherosclerosis Sleep study participants. The PAT response to apnoeas/hypopnoeas was defined as the area under the PAT waveform following respiratory events. Cardiovascular outcomes included markers of subclinical cardiovascular disease (CVD): left ventricular mass, carotid plaque burden score and coronary artery calcification (CAC) (cross-sectional) and incident composite CVD events (prospective). Multivariable logistic and Cox proportional hazard regressions were performed. RESULTS: A total of 1407 participants (mean age 68.4 years, female 47.5%) were included. Higher PAT response (per 1 SD increase) was associated with higher left ventricular mass (5.7 g/m2 higher in fourth vs first quartile, p<0.007), higher carotid plaque burden score (0.37 higher in fourth vs first quartile, p=0.02) and trended to greater odds of CAC (1.44, 95% CI 0.98 to 2.15, p=0.06). A total of 65 incident CVD events were observed over the mean of 4.1 (2.6) years follow-up period. Higher PAT response was associated with increased future CVD events (HR: 1.20, 95% CI 1.02 to 1.42, p=0.03). CONCLUSION: PAT is independently associated with markers of subclinical CVD and incident CVD events. Respiratory-related PAT response is a novel and promising polysomnography metric with cardiovascular implications.

A scoping review of racial/ethnic disparities in sleep.

BACKGROUND: Despite remarkable achievements in ensuring health equity, racial/ethnic disparities in sleep still persist and are emerging as a major area of concern. Accumulating evidence has not yet been well characterized from a broad perspective. We conducted a scoping review of studies on sleep disparities by race/ethnicity to summarize characteristics of existing studies and identify evidence gaps. METHODS: We searched PubMed, CINAHL, PsycINFO, and Web of Science databases for studies of racial/ethnic disparities in sleep. Studies that met inclusion criteria were retrieved and organized in a data charting form by study design, sleep measuring methods, sleep features, and racial/ethnic comparisons. RESULTS: One hundred sixteen studies were included in this review. Most studies focused on disparities between Whites and Blacks. Disproportionately fewer studies examined disparities for Hispanic, Asian, and other racial/ethnic groups. Self-reported sleep was most frequently used. Sleep duration, overall sleep quality, and sleep disordered breathing were frequently studied, whereas other features including sleep efficiency, latency, continuity, and architecture were understudied, particularly in racial minority groups in the US. Current study findings on racial/ethnic disparities in most of sleep features is mixed and inconclusive. CONCLUSIONS: This review identified significant evidence gaps in racial/ethnic disparities research on sleep. Our results suggest a need for more studies examining diverse sleep features using standardized and robust measuring methods for more valid comparisons of sleep health in diverse race/ethnicity groups.

Visit-to-visit blood pressure variability and sleep architecture.

Visit-to-visit blood pressure (BP) variability (BPV) is an independent risk factor of cardiovascular disease (CVD). Sleep architecture characterizes the distribution of different stages of sleep and may be important in CVD development. We examined the association between visit-to-visit BPV and sleep architecture using in-lab polysomnographic data from 3,565 patients referred to an academic sleep center. BPV was calculated using the intra-individual coefficient of variation of BP measures collected 12 months before the sleep study. We conducted multiple linear regression analyses to assess the association of systolic and diastolic BPV with sleep architecture-rapid eye movement (REM) and non-rapid eye movement (NREM) sleep duration. Our results show that systolic BPV was inversely associated with REM sleep duration (p = .058). When patients were divided into tertile groups based on their BPV, those in the third tertile (highest variability) spent 2.7 fewer minutes in REM sleep than those in the first tertile (lowest variability, p = .032), after adjusting for covariates. We did not find an association of systolic BPV with other measures of sleep architecture. Diastolic BPV was not associated with sleep architecture either. In summary, our study showed that greater systolic BPV was associated with lower REM sleep duration. Future investigation is warranted to clarify the directionality, mechanism, and therapeutic implications.

Association of obesity with arterial stiffness: The Multi-Ethnic Study of Atherosclerosis (MESA).

Arterial stiffness (AS) and obesity are recognized as important risk factors of cardiovascular disease (CVD). The purpose of this study was to investigate the relationship between AS and obesity. AS was defined as high augmentation index (AIx) and low elasticity (C1, large artery elasticity; C2, small artery elasticity) in participants enrolled in the Multi-Ethnic Study of Atherosclerosis at baseline. We compared AIx, C1, and C2 by body mass index (BMI) (< 25, 25-29.9, 30-39.9, ⩾ 40 kg/m2) and waist-hip ratio (WHR) (< 0.85, 0.85-0.99, ⩾ 1). The obesity-AS association was tested across 10-year age intervals. Among 6177 participants (62 ± 10 years old, 52% female), a significant inverse relationship was observed between obesity and AS. After adjustments for CVD risk factors, participants with a BMI > 40 kg/m2 had 5.4% lower AIx (mean difference [Δ] = -0.82%; 95% CI: -1.10, -0.53), 15.4% higher C1 (Δ = 1.66 mL/mmHg ×10; 95% CI: 1.00, 2.33), and 40.2% higher C2 (Δ = 1.49 mL/mmHg ×100; 95% CI: 1.15, 1.83) compared to those with a BMI < 25 kg/m2 (all p for trend < 0.001). Participants with a WHR ⩾ 1 had 5.6% higher C1 (∆ = 0.92 mL/mmHg ×10; 95% CI: 0.47, 1.37) compared to those with a WHR < 0.85. The WHR had a significant interaction with age on AIx and C2, but not with BMI; the inverse relationships of the WHR with AIx and C2 were observed only in participants < 55 years between the normal (WHR < 0.85) and the overweight (0.85 ⩽ WHR < 0.99) groups. Different associations of WHR and BMI with arterial stiffness among older adults should be further investigated.

Retrospective cohort study of the relationship between systolic blood pressure variability and multiple sclerosis disability.

OBJECTIVE: To examine the relationship between visit-to-visit systolic blood pressure (SBP) variability and patient-reported outcome measure of disability in multiple sclerosis (MS) patients. DESIGN: A retrospective cohort study of individuals with MS who completed a patient-determined disease steps (PDDS) scale between 2011 and 2015 at an MS specialty clinic. PARTICIPANTS: Individuals with MS for whom both a completed PDDS scale and ≥3 SBP measures within the prior 12 months of the survey were available. MAIN OUTCOME MEASURE: Participants were grouped into three classes of disability (no or mild (PDDS 0-1), moderate (2-3), severe (4-7)). SBP variability was calculated as within-subject SD using all SBP measures taken during the past 12 months. SBP variability was analysed by Tertile groups. RESULTS: Ninety-two subjects were included in this analysis. Mean PDDS score was 2.22±1.89. Compared with subjects in Tertile 1 (lowest variability), the odds of being in a higher disability group was 3.5 times higher (OR=3.48; 95% CI: 1.08 to 11.25; p=0.037) in Tertile 2 and 5.2 times higher (OR=5.19; 95% CI: 1.53 to 17.61; p=0.008) in Tertile 3 (highest variability), independent of mean SBP, age, sex, race/ethnicity, body mass index and comorbidities (p for trend=0.008). Mean PDDS scores were 1.52±1.18 in Tertile 1, 2.73±1.02 in Tertile 2 and 2.42±0.89 in Tertile 3 after adjusting for the same covariates. CONCLUSIONS: Our results show a significant gradient relationship between SBP variability and MS-related disability. More research is needed to determine the underlying pathophysiological relationship between SBP variability and MS disability progression.

Patient-specific factors modulate leukocyte response in dimethyl fumarate treated MS patients.

OBJECTIVE: Determine if patient-specific factors modulate absolute lymphocyte count (ALC), neutrophil count (ANC), and/or Neutrophile-lymphocyte ratio (NLR) in Dimethyl Fumarate (DMF) treated patients. METHODS: A retrospective study of patients who initiated DMF between 2013-2018. A multicenter study of two MS clinics: Charlottesville, VA (UVA) and Dallas, TX (DaVA). RESULTS: 103 patients (67-UVA, 36-DaVA) met eligibility. At baseline, the DaVa population was younger (mean±sd: 38.6±9.0 vs 42.2±12.5, p 0.152) and had a higher proportion of males (61% vs. 35%), consistent with a veteran cohort. Pre-treatment, all other laboratory parameters were similar between the two groups. On treatment there was a 30% lowering of mean ALC, with 3% having grade-3 lymphopenia (ALC < 500). Sustained neutropenia occurred in 3.9% of patients and was more common in males. Over 50% of patients had a high NLR at baseline, with a further 44% increase in NLR on-treatment. Age was significantly predictive of lymphopenia, with grade-3 lymphopenia found in 33% of patients ≥ 55 years. Neutropenia was more common in males. Serum BG (sBG) has modest correlation to leukocyte parameters. BMI was not correlated with any leukocyte-related outcomes. CONCLUSIONS: Patient-specific factors, specifically-age, sex, and serum blood glucose, modulate leukocyte response and ratios in DMF treated MS patients. Age appears to be a relevant predictor of lymphopenia and should be a factor in treatment decision making. Neutropenia, independent of lymphopenia, can occur and males may be at increased risk. High sBG may impact leukocyte count and ratios in MS patients and merits further study, particularly in patients with diabetes. NLR is abnormal in MS and increased with DMF-treatment, the clinical implications of this will require further study.

Trends in Uninsured Rates Before and After Medicaid Expansion in Counties Within and Outside of the Diabetes Belt.

OBJECTIVE: To examine trends in uninsured rates between 2012 and 2016 among low-income adults aged <65 years and to determine whether the Patient Protection and Affordable Care Act (ACA), which expanded Medicaid, impacted insurance coverage in the Diabetes Belt, a region across 15 southern and eastern U.S. states in which residents have high rates of diabetes. RESEARCH DESIGN AND METHODS: Data for 3,129 U.S. counties, obtained from the Small Area Health Insurance Estimates and Area Health Resources Files, were used to analyze trends in uninsured rates among populations with a household income ≤138% of the federal poverty level. Multivariable analysis adjusted for the percentage of county populations aged 50-64 years, the percentage of women, Distressed Communities Index value, and rurality. RESULTS: In 2012, 39% of the population in the Diabetes Belt and 34% in non-Belt counties were uninsured (P < 0.001). In 2016 in states where Medicaid was expanded, uninsured rates declined rapidly to 13% in Diabetes Belt counties and to 15% in non-Belt counties. Adjusting for county demographic and economic factors, Medicaid expansion helped reduce uninsured rates by 12.3% in Diabetes Belt counties and by 4.9% in non-Belt counties. In 2016, uninsured rates were 15% higher for both Diabetes Belt and non-Belt counties in the nonexpansion states than in the expansion states. CONCLUSIONS: ACA-driven Medicaid expansion was more significantly associated with reduced uninsured rates in Diabetes Belt than in non-Belt counties. Initial disparities in uninsured rates between Diabetes Belt and non-Belt counties have not existed since 2014 among expansion states. Future studies should examine whether and how Medicaid expansion may have contributed to an increase in the use of health services in order to prevent and treat diabetes in the Diabetes Belt.

CMR DENSE and the Seattle Heart Failure Model Inform Survival and Arrhythmia Risk After CRT.

OBJECTIVES: This study sought to determine if combining the Seattle Heart Failure Model (SHFM-D) and cardiac magnetic resonance (CMR) provides complementary prognostic data for patients with cardiac resynchronization therapy (CRT) defibrillators. BACKGROUND: The SHFM-D is among the most widely used risk stratification models for overall survival in patients with heart failure and implantable cardioverter-defibrillators (ICDs), and CMR provides highly detailed information regarding cardiac structure and function. METHODS: CMR Displacement Encoding with Stimulated Echoes (DENSE) strain imaging was used to generate the circumferential uniformity ratio estimate with singular value decomposition (CURE-SVD) circumferential strain dyssynchrony parameter, and the SHFM-D was determined from clinical parameters. Multivariable Cox proportional hazards regression was used to determine adjusted hazard ratios and time-dependent areas under the curve for the primary endpoint of death, heart transplantation, left ventricular assist device, or appropriate ICD therapies. RESULTS: The cohort consisted of 100 patients (65.5 [interquartile range 57.7 to 72.7] years; 29% female), of whom 47% had the primary clinical endpoint and 18% had appropriate ICD therapies during a median follow-up of 5.3 years. CURE-SVD and the SHFM-D were independently associated with the primary endpoint (SHFM-D: hazard ratio: 1.47/SD; 95% confidence interval: 1.06 to 2.03; p = 0.02) (CURE-SVD: hazard ratio: 1.54/SD; 95% confidence interval: 1.12 to 2.11; p = 0.009). Furthermore, a favorable prognostic group (Group A, with CURE-SVD <0.60 and SHFM-D <0.70) comprising approximately one-third of the patients had a very low rate of appropriate ICD therapies (1.5% per year) and a greater (90%) 4-year survival compared with Group B (CURE-SVD ≥0.60 or SHFM-D ≥0.70) patients (p = 0.02). CURE-SVD with DENSE had a stronger correlation with CRT response (r = -0.57; p < 0.0001) than CURE-SVD with feature tracking (r = -0.28; p = 0.004). CONCLUSIONS: A combined approach to risk stratification using CMR DENSE strain imaging and a widely used clinical risk model, the SHFM-D, proved to be effective in this cohort of patients referred for CRT defibrillators. The combined use of CMR and clinical risk models represents a promising and novel paradigm to inform prognosis and device selection in the future.

An Evaluation of Risk Factors for Extubation Failure in Surgical Patients in Intensive Care.

BACKGROUND: Reintubations following extubation from mechanical ventilation are costly, resulting in increased morbidity and mortality. The preparation for and timing of extubation from mechanical ventilation can reduce unplanned reintubations. Few studies have investigated reintubation in the surgical intensive care unit (SICU) population. OBJECTIVE: To identify risk factors that predict extubation failure in nontrauma surgical postoperative intensive care patients. METHODS: Retrospective analysis utilizing American College of Surgeons National Surgical Quality Improvement Program data and institutional clinical variables from July 1, 2013, to December 31, 2015, in a sample (N = 93) of surgical patients admitted postoperatively to a SICU with an endotracheal tube in place, requiring invasive mechanical ventilation. Logistic regression analysis was used to model extubation failure as a function of clinical variables in the 24 hours preceding extubation. RESULTS: Of 93 patients, 70 were successfully extubated, and 23 experienced failure. Increasing respiratory rate in the 24 hours preceding extubation significantly predicted failure (odds ratio, 1.086; 95% confidence interval, 1.006-1.172; P = .034). DISCUSSION: Elevated respiratory rates during the 24 hours preceding extubation are an underappreciated risk factor for extubation failure. This has direct implications for nurses who are assessing intensive care unit patients' readiness for extubation. Opportunity exists for nurses to better integrate respiratory rate data into extubation planning to improve unplanned reintubation rates in SICU patients.

Development and Validation of Procedure-Specific Risk Score for Predicting Postoperative Pulmonary Complication: A NSQIP Analysis.

BACKGROUND: Postoperative pulmonary complications (PPCs; unplanned reintubation, postoperative pneumonia, and failure to liberate from mechanical ventilation within 48 hours), contribute significantly to increased rates of morbidity and mortality. Procedure type is an important factor that contributes risk in generalized PPC prediction models. The objective of this study was to develop and validate procedure-specific risk scores for the 6 procedures with the highest rates of PPCs. STUDY DESIGN: American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Participant Use File data (2005 to 2015) for patients undergoing pancreatectomy, hepatectomy, esophagectomy, abdominal aortic aneurysm repair, open aortoiliac repair, and lung resection were used for analysis. Multivariable logistic regression was used to develop pulmonary complications risk scores (PCRS) for each procedure. Youden indices were used to identify cutoff points within each PCRS and were further validated using a random selection of the original NSQIP dataset collected. RESULTS: Twenty-one variables were included in the initial analysis, which yielded unique relative risk score models for each procedure. Within all the risk score models, long operative time (within the last quartile) was a strong predictor of PPCs. An increased rate of PPCs was associated with increasing PCRS values in both the training and validation samples for all procedures. CONCLUSIONS: Important variables were identified for 6 common procedures that yield an increased risk of PPCs. These variables differed by procedure type, outlining the importance of procedure-specific risk scores. Each procedure-specific PCRS developed in this study can be used by health care professionals to better predict the risk of PPCs and to optimize patient outcomes.

Development and Validation of the Real-World Progression in Diabetes (RAPIDS) Model.

INTRODUCTION: To develop and validate the first real-world data-based type 2 diabetes progression model (RAPIDS) employing econometric techniques that can study the comparative effects of complex dynamic patterns of glucose-lowering drug use. METHODS: The US Department of Veterans Affairs (VA) electronic medical record and claims databases were used to identify over 500,000 diabetes patients in 2003 with up to 9-year follow-up. The RAPIDS model contains interdependent first-order Markov processes over quarters for each of the micro- and macrovascular events, hypoglycemia, and death, as well as predictive models for 8 biomarker levels. Model parameters varied by static demographic factors and dynamic factors, such as age, duration of diabetes, 13 possible glucose-lowering treatment combinations, any blood pressure and any cholesterol-lowering medications, and cardiovascular history. To illustrate model capabilities, a simple comparative study was set up to compare observed treatment use patterns to alternate patterns if perfect adherence is assumed following initiating the use of any of these medications. RESULTS: Data were randomly split into 307,288, 105,195, and 105,081 patients to perform estimation, out-of-sample calibration, and validation, respectively. Model predictions in the validation sample closely aligned with the observed longitudinal trajectory of biomarkers and outcomes. Perfect adherence among initiators increased proportion of days covered by only 6 months. Most of this increase came from increased adherence to monotherapies and did not lead to meaningful changes in any of the outcomes over the 9-year period. CONCLUSION: Future value of increasing medication adherence among VA patients with diabetes may lie among those who never initiate treatment or are late in initiating treatment. The first-of-its-kind real-world data-based model has the potential to carry out many complex comparative-effectiveness research (CER) studies of dynamic glucose-lowering drug regimens.

Individual Surgeon's Contribution to Value.

Estimating surgeon-level value in health care remains relatively unexplored. American College of Surgeons National Surgical Quality Improvement Program Participant Use Files (2005-2013) were linked with total costs at a single institution. Random intercepts in 3-level random effects logistic regression models predicted 30-day postoperative mortality or morbidity for each surgeon each year. Value was defined as quality (morbidity or mortality) divided by costs for surgeons performing general surgery and vascular procedures. Forty-four surgeons performed 11 965 surgeries. Risk-adjusted costs trended down over time. For all surgeries, mortality value increased by 3.27 per year (95% confidence interval = 2.54-4.01; P < .001) on a 100-point scale, while morbidity value did not change. Of 21 surgeons with data for 5 years or longer, mortality value increased for all surgeons except one. Continuous increase in complication rates from 2008 contributed to decreased morbidity value. Value may assist surgeons in exploring performance opportunities better than morbidity or mortality alone.

Anticoagulation and Transjugular Intrahepatic Portosystemic Shunting for Treatment of Portal Vein Thrombosis in Cirrhosis: A Systematic Review and Meta-Analysis.

Portal vein thromboses (PVTs) are associated with hepatic decompensation, worse survival, and worse liver transplant outcomes. We evaluated the impact of anticoagulation (AC) and transjugular intrahepatic portosystemic shunting (TIPS) on recanalization and mortality in patients with cirrhosis and PVT. Systematic search of electronic databases was performed. Clinical trials and observational studies that evaluated primary outcomes of recanalization and survival in patients with cirrhosis having PVT treated with AC or TIPS were included. Risk of bias was assessed. Summary odds ratios (ORs) for pooled data from the included studies were generated using a random effects model. A total of 505 studies were screened for inclusion. After review, 7 studies were ultimately included. Data from 327 patients in total were evaluated. Overall, treatment with either AC or TIPS resulted in partial or complete recanalization (OR: 4.56 [95% confidence interval, CI: 2.46-8.47]) but did not significantly impact mortality (OR: 0.57 [95% CI: 0.21-1.57]). The summary OR of AC for recanalization was 6.00 (95% CI: 2.38-15.07). The summary OR of TIPS for recanalization was 3.80 (95% CI: 1.47-9.83). The summary OR of mortality in patients treated with AC for PVT was 0.28 (95% CI: 0.08-0.95). The mortality summary OR was 1.10 (95% CI 0.23-5.16) in patients who underwent TIPS. There was insufficient data to assess complications such as hepatic encephalopathy or bleeding. Both AC and TIPS have a significant effect on recanalization. Anticoagulation appears to have a protective effect on mortality that is not seen with TIPS. More studies with control groups are need.

Actigraphy-based sleep characteristics and aortic stiffness: the Multi-Ethnic Study of Atherosclerosis.

The study aimed to examine the association between objective estimates of sleep duration and quality and aortic stiffness while accounting for the potential confounding effect of sleep-disordered breathing. Participants were part of the Multi-Ethnic Study of Atherosclerosis Sleep study. Sleep duration and quality were assessed by 7-day wrist actigraphy, sleep-disordered breathing by home polysomnography, and aortic stiffness by magnetic resonance imaging-based aortic pulse wave velocity (aPWV), ascending and descending aorta distensibility. Aortic stiffness of participants with "normal" sleep duration (6-8 hours) were compared with those of "short" (<6 hours) and "long" sleep duration (>8 hours) adjusting for common cardiovascular risk factors and apnea-hypopnea index. The sample consisted of 908 participants (mean age 68.4 ± 9.1 years, 55.3% female). There was a significant linear trend of increased aPWV across short (n = 252), normal (n = 552), and long sleep durations (n = 104) (P for trend = .008). Multivariable analysis showed that people with short sleep duration had 0.94 m/s lower aPWV (95% CI: -1.54, -0.35), compared with those with normal sleep duration. In this ethnically diverse community cohort, habitual short sleep duration as estimated by actigraphy was associated with lower aortic stiffness.

Preoperative Gastroesophageal Reflux Disorder Is Associated With Increased Morbidity in Patients Undergoing Abdominal Surgery.

BACKGROUND: In North America, the prevalence of gastroesophageal reflux disorder ranges from 18.1% to 27.8%. We measured the risk posed by preoperative esophageal disease for patients undergoing abdominal operations. METHOD: American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP; 2005-2015) data were merged with institutional clinical data repository records to identify esophageal disease in surgical patients undergoing intra-abdominal procedures. Patients with esophageal disease were classified as gastroesophageal reflux disorder (GERD) or other, which included patients with esophageal stricture, spasm, ulcer, or diverticuli, achalasia, esophagitis, reflux esophagitis, Barrett's esophagus, and multiple esophageal diagnoses, excluding GERD. ACS NSQIP-targeted procedure groups included were colectomy, proctectomy, ventral hernia repair, bariatric surgery, hepatectomy, appendectomy, abdominal aortic aneurysm repair, open aortoiliac repair, hysterectomy, myomectomy, and oophorectomy. Multivariable logistic regression was used to model postoperative complication rates, adjusting for ACS NSQIP risk of morbidity, demographic factors, ACS NSQIP-targeted procedure groups, and open versus laparoscopic surgery. RESULTS: Of 9172 intra-abdominal cases, 21.3% had preoperative esophageal disease (19.6% GERD and 1.7% other). After adjustment, patients with GERD were at higher risk for experiencing a number of complications, including all-cause 30-d complication (odds ratio [OR] = 1.21, 95% confidence interval [CI] 1.05-1.41, P = 0.044), renal complication (OR = 1.43, 95% CI 1.09-1.87, P = 0.036), wound complication (OR = 1.40, 95% CI 1.10-1.79, P = 0.028), and readmission within 30 d (OR = 1.66, 95% CI 1.35-2.04, P < 0.001). CONCLUSIONS: Preoperative GERD is associated with increased postoperative complication rate. Surgeons should consider assessing GERD in patients undergoing abdominal operations.