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BACKGROUND: Procedure volumes are associated with outcomes for many cardiovascular procedures, leading to guidelines on minimum volume thresholds for certain procedures; however, the volume-outcome relationship with left atrial appendage occlusion is poorly understood. As such, we sought to determine the relationship between hospital and physician volume and WATCHMAN left atrial appendage occlusion procedural success overall and with the new generation WATCHMAN FLX device. METHODS: We performed an analysis of WATCHMAN procedures (January 2019 to October 2021) from the National Cardiovascular Data Registry LAAO Registry. Three-level hierarchical generalized linear models were used to assess the adjusted relationship between procedure volume and procedural success (device released with peridevice leak <5 mm, no in-hospital major adverse events). RESULTS: Among 87480 patients (76.2±8.0 years; 58.8% men; mean CHA2DS2-VASc score, 4.8±1.5) from 693 hospitals, the procedural success rate was 94.2%. With hospital volume Q4 (greatest volume) as the reference, the likelihood of procedural success was significantly less among Q1 (odds ratio [OR], 0.66 [CI, 0.57–0.77]) and Q2 (OR, 0.78 [CI, 0.69– 0.90]) but not Q3 (OR, 0.95 [CI, 0.84–1.07]). With physician volume Q4 (greatest volume) as the reference, the likelihood of procedural success was significantly less among Q1 (OR, 0.72 [CI, 0.63–0.82]), Q2 (OR, 0.79 [CI, 0.71–0.89]), and Q3 (OR, 0.88 [CI, 0.79–0.97]). Among WATCHMAN FLX procedures, there was attenuation of the volume-outcome relationships, with statistically significant but modest absolute differences of only ≈1% across volume quartiles. CONCLUSIONS: In this contemporary national analysis, greater hospital and physician WATCHMAN volumes were associated with increased procedure success. The WATCHMAN FLX transition was associated with increased procedural success and less heterogeneity in outcomes across volume quartiles. These findings indicate the importance of understanding the volume-outcome relationship for individual left atrial appendage occlusion devices. [ABSTRACT FROM AUTHOR]

Background: Coronary artery bypass graft (CABG) surgery is a focus of bundled and alternate payment models that capture outcomes up to 90 days postsurgery. While clinical registry risk models perform well, measures encompassing mortality beyond 30 days do not currently exist. We aimed to develop a risk-adjusted hospital-level 90-day all-cause mortality measure intended for assessing hospital performance in payment models of CABG surgery using administrative data.Methods: Building upon Centers for Medicare and Medicaid Services hospital-level 30-day all-cause CABG mortality measure specifications, we extended the mortality timeframe to 90 days after surgery and developed a new hierarchical logistic regression model to calculate hospital risk-standardized 90-day all-cause mortality rates for patients hospitalized for isolated CABG. The model was derived from Medicare claims data for a 3-year cohort between July 2014 to June 2017. The data set was randomly split into 50:50 development and validation samples. The model performance was evaluated with C statistics, overfitting indices, and calibration plot. The empirical validity of the measure result at the hospital level was evaluated against the Society of Thoracic Surgeons composite star rating.Results: Among 137 819 CABG procedures performed in 1183 hospitals, the unadjusted mortality rate within 30 and 90 days were 3.1% and 4.7%, respectively. The final model included 27 variables. Hospital-level 90-day risk-standardized mortality rates ranged between 2.04% and 11.26%, with a median of 4.67%. C statistics in the development and validation samples were 0.766 and 0.772, respectively. We identified a strong positive correlation between 30- and 90-day risk-standardized mortality rates, with a regression slope of 1.09. Risk-standardized mortality rates also showed a stepwise trend of lower 90-day mortality with higher Society of Thoracic Surgeons composite star ratings.Conclusions: We present a measure of hospital-level 90-day risk-standardized mortality rates following isolated CABG. This measure complements Centers for Medicare and Medicaid Services' existing 30-day CABG mortality measure by providing greater insight into the postacute recovery period. It offers a balancing measure to ensure efforts to reduce costs associated with CABG recovery and rehabilitation do not result in unintended consequences. [ABSTRACT FROM AUTHOR]

BACKGROUND & AIMS: Colonoscopy is a common procedure, yet little is known about variations in colonoscopy quality among outpatient facilities. We developed an outcome measure to profile outpatient facilities by estimating risk-standardized rates of unplanned hospital visits within 7 days of colonoscopy. METHODS: We used a 20% sample of 2010 Medicare outpatient colonoscopy claims (331,880 colonoscopies performed at 8140 facilities) from patients ≥65 years or older, and developed a patient-level logistic regression model to estimate the risk of unplanned hospital visits (ie, emergency department visits, observation stays, and inpatient admissions) within 7 days of colonoscopy. We then used the patient-level risk model variables and hierarchical logistic regression to estimate facility rates of risk-standardized unplanned hospital visits using data from the Healthcare Cost and Utilization Project (325,811 colonoscopies at 992 facilities), from 4 states containing 100% of colonoscopies per facility. RESULTS: Outpatient colonoscopies were followed by 5412 unplanned hospital visits within 7 days (16.3/1000 colonoscopies). Hemorrhage, abdominal pain, and perforation were the most common causes of unplanned hospital visits. Fifteen variables were independently associated with unplanned hospital visits (c = 0.67). A history of fluid and electrolyte imbalance (odds ratio [OR] = 1.43; 95% confidence interval [CI]: 1.29-1.58), psychiatric disorders (OR = 1.34; 95% CI: 1.22-1.46), and, in the absence of prior arrhythmia, increasing age past 65 years (aged >85 years vs 65-69 years: OR = 1.87; 95% CI: 1.54-2.28) were most strongly associated. The facility risk-standardized unplanned hospital visits calculated using Healthcare Cost and Utilization Project data showed significant variation (median 12.3/ 1000; 5th-95th percentile, 10.5-14.6/1000). Median riskstandardized unplanned hospital visits were comparable between ambulatory surgery centers and hospital outpatient departments (each was 10.2/1000), and ranged from 16.1/1000 in the Northeast to 17.2/1000 in the Midwest. CONCLUSIONS: We calculated a risk-adjusted measure of outpatient colonoscopy quality, which shows important variation in quality among outpatient facilities. This measure can make transparent the extent to which patients require followup hospital care, help inform patient choices, and assist in quality-improvement efforts. [ABSTRACT FROM AUTHOR]

Background: Patient outcomes provide a critical perspective on quality of care. The Centers for Medicare and Medicaid Services (CMS) is publicly reporting hospital 30-day risk-standardized mortality rates (RSMRs) and risk-standardized readmission rates (RSRRs) for patients hospitalized with acute myocardial infarction (AMI) and heart failure (HF). We provide a national perspective on hospital performance for the 2010 release of these measures.Methods and Results: The hospital RSMRs and RSRRs are calculated from Medicare claims data for fee-for-service Medicare beneficiaries, 65 years or older, hospitalized with AMI or HF between July 1, 2006, and June 30, 2009. The rates are calculated using hierarchical logistic modeling to account for patient clustering, and are risk-adjusted for age, sex, and patient comorbidities. The median RSMR for AMI was 16.0% and for HF was 10.8%. Both measures had a wide range of hospital performance with an absolute 5.2% difference between hospitals in the 5th versus 95th percentile for AMI and 5.0% for HF. The median RSRR for AMI was 19.9% and for HF was 24.5% (3.9% range for 5th to 95th percentile for AMI, 6.7% for HF). Distinct regional patterns were evident for both measures and both conditions.Conclusions: High RSRRs persist for AMI and HF and clinically meaningful variation exists for RSMRs and RSRRs for both conditions. Our results suggest continued opportunities for improvement in patient outcomes for HF and AMI. [ABSTRACT FROM AUTHOR]

The article focuses on a study which described the national trends in all-cause readmissions rates after heart failure (HF) hospitalization among Medicare beneficiaries. The study found that national mean and risk-standardized all-cause readmission rates (RSRR) distributions among Medicare beneficiaries discharged after hospitalization. It concluded that there was no improvement in hospital readmission care among Medicare beneficiaries.

The article discusses a study on the use of hierarchical regression models in assessing the rates of risk-standardized mortality and readmission of patients with heart failure in hospitals identified in the "America's Best Hospitals" ranking by the periodical "U.S. News & World Report" and in those non-ranked facilities. The study noted there was a reduced mean rate of in-hospital mortality in ranked hospitals, compared to non-ranked ones. It is said that ranked hospitals have not shown enough evidence of superiority for readmission.

Background: The incidence of acute myocardial infarction (AMI) is growing rapidly in China, but there is limited information about the patient experience in the postacute period. Specifically, long-term outcomes and patient-reported outcomes (PROs), including quality of life, symptoms and mood, after AMI, have not been systematically studied in China. Objectives: To conduct a nationwide prospective study following patients after AMI that 1) measures long-term clinical outcomes, PROs, cardiovascular risk factor control and adherence to medications for secondary prevention; and 2) identifies patient characteristics and hospital attributes that are associated with these outcomes. Methods: The China PEACE Prospective Study of AMI has recruited 4000 consecutive patients from 55 hospitals across China and is following them for 1- year. The first patient was enrolled in December 2012, and the last follow-up visit is scheduled for June 2015. After obtaining informed consent from patients, we abstracted details of their medical history, treatment, and in-hospital outcomes from medical charts. We conducted comprehensive baseline interviews characterizing patient demographics, risk factors, clinical presentation, and healthcare utilization. In addition, we used validated PRO instruments to measure quality of life, symptoms, mood, sleep, cognition and sexual activity. Follow-up interviews, measuring PROs, medication adherence and risk factor control were conducted at 1-, 6-, and 12-months after discharge. At these interviews, patients were asked to self-report major health events and to provide supporting materials (e.g., hospital discharge record for a readmission), which were subsequently validated by a National Coordinating Center. Blood and urine samples were obtained at baseline and 12-month follow-up, and stored for further biomarker analysis and genetic studies. To complement these patient-level data, we surveyed participating hospitals to characterize their facilities, processes and organizational learning culture. Together, these data will be used to identify factors associated with various outcomes following AMI. Conclusion: This study is uniquely positioned to generate new information regarding patient experience and determinants of outcomes after AMI in China. [ABSTRACT FROM AUTHOR]