Risk score-guided multidisciplinary team-based Care for Heart Failure Inpatients is associated with lower 30-day readmission and lower 30-day mortality.

OBJECTIVE: Using augmented intelligence clinical decision tools and a risk score-guided multidisciplinary team-based care process (MTCP), this study evaluated the MTCP for heart failure (HF) patients' 30-day readmission and 30-day mortality across 20 Intermountain Healthcare hospitals. BACKGROUND: HF inpatient care and 30-day post-discharge management require quality improvement to impact patient health, optimize utilization, and avoid readmissions. METHODS: HF inpatients (N = 6182) were studied from January 2013 to November 2016. In February 2014, patients began receiving care via the MTCP based on a phased implementation in which the 8 largest Intermountain hospitals (accounting for 89.8% of HF inpatients) were crossed over sequentially in a stepped manner from control to MTCP over 2.5 years. After implementation, patient risk scores were calculated within 24 hours of admission and delivered electronically to clinicians. High-risk patients received MTCP care (n = 1221), while lower-risk patients received standard HF care (n = 1220). Controls had their readmission and mortality scores calculated retrospectively (high risk: n = 1791; lower risk: n = 1950). RESULTS: High-risk MTCP recipients had 21% lower 30-day readmission compared to high-risk controls (adjusted P = .013, HR = 0.79, CI = 0.66, 0.95) and 52% lower 30-day mortality (adjusted P < .001, HR = 0.48, CI = 0.33, 0.69). Lower-risk patients did not experience increased readmission (adjusted HR = 0.88, P = .19) or mortality (adjusted HR = 0.88, P = .61). Some utilization was higher, such as prescription of home health, for MTCP recipients, with no changes in length of stay or overall costs. CONCLUSIONS: A risk score-guided MTCP was associated with lower 30-day readmission and 30-day mortality in high-risk HF inpatients. Further evaluation of this clinical management approach is required.

Predicting readmission risk shortly after admission for CABG surgery.

BACKGROUND: Reducing preventable hospital readmissions after coronary artery bypass graft (CABG) surgery has become a national priority. Predictive models can be used to identify patients at high risk for readmission. However, the majority of the existing models are based on data available at discharge. We sought to develop a model to predict hospital readmission using data available soon after admission for isolated CABG surgery. METHODS: Fifty risk factors were included in a bivariate analysis, 16 of which were significantly associated (P < 0.05) with readmissions and were entered into a multivariate logistic regression and removed stepwise, using backward elimination procedures. The derived model was then validated on 896 prospective isolated CABG cases. RESULTS: Of 2589 isolated CABG patients identified between December 1, 2010, and June 30, 2014, 237(9.15%) were readmitted within 30 days. Five risk factors were predictive of 30-day all-cause readmission: age (odds ratio [OR] = 1.03; 95% confidence interval [CI]: 1.01-1.05; P = 0.004), prior heart failure (OR = 1.55; 95%CI: 1.07-2.24; P = 0.020), total albumin prior to surgery (OR = 0.68; 95%CI: 0.05-0.94; P = 0.021), previous myocardial infarction (OR = 1.44; 95%CI: 1.00-2.08; P = 0.50), and history of diabetes (OR = 1.54; 95%CI: 1.09-2.19; P = 0.015). The area under the curve c-statistic was 0.63 in the derivation sample and 0.65 in the validation sample showing good discrimination. CONCLUSIONS: A 30-day all-cause readmission among isolated CABG patients can be predicted soon after admission with a small number of risk factors.

[Benefits of integrated care delivery system for heart failure: A case study of Intermountain Healthcare (USA)]. / Bénéfices de la prise en charge intégrée de l'insuffisance cardiaque : l'exemple d'Intermountain Healthcare (États-Unis).

BACKGROUND: Among chronic diseases, heart failure is a top public health priority both in France and in the United States. If progress is possible in France, the experience from Intermountain Healthcare (IH), in the United States can be a source of significant experimentations. AIM: To identify the teaching of the clinical integration of the specialists in the field of heart failure with the primary care sector which could be useful in France. METHODS: This research is based on the qualitative analysis of data resulting from the work between experts, of bibliographical research, and of some groupings by item corresponding to the objectives of the Triple Aim from the Institute for Healthcare Improvement (IHI). RESULTS: The program of the integrated care delivery system for heart failure of Intermountain Healthcare reaches the objectives of the Triple Aim from the IHI, that is to say, the enhancement of the health of the population, improving quality of care and the satisfaction of the user, and the reduction of the cost of care. This program also enhances the Chronic Care Model by integrating a team of specialists in the field of heart failure, building up a pluridisciplinary team focused on the need of both the patients and their families. This creates a multidisciplinary care delivery system for heart failure which is global, protocolized, stratified, planned and followed. The prevention and the ambulatory care integrating the specialized care of second stage to the care of first stage are developed. The users and their families are co-responsible for their health. The systematic evaluation is based on the specific indicators. DISCUSSION: This program improves the effectiveness of care while improving organizational efficiency resulting in savings for IH Health Plan (SelectHealth). It also enhances the equality of access to better healthcare and health for the entire population.

Clinical Decision Support to Efficiently Identify Patients Eligible for Advanced Heart Failure Therapies.

BACKGROUND: Patients who need and receive timely advanced heart failure (HF) therapies have better long-term survival. However, many of these patients are not identified and referred as soon as they should be. METHODS: A clinical decision support (CDS) application sent secure email notifications to HF patients' providers when they transitioned to advanced disease. Patients identified with CDS in 2015 were compared with control patients from 2013 to 2014. Kaplan-Meier methods and Cox regression were used in this intention-to-treat analysis to compare differences between visits to specialized and survival. RESULTS: Intervention patients were referred to specialized heart facilities significantly more often within 30 days (57% vs 34%; P < .001), 60 days (69% vs 44%; P < .0001), 90 days (73% vs 49%; P < .0001), and 180 days (79% vs 58%; P < .0001). Age and sex did not predict heart facility visits, but renal disease did and patients of nonwhite race were less likely to visit specialized heart facilities. Significantly more intervention patients were found to be alive at 30 (95% vs 92%; P = .036), 60 (95% vs 90%; P = .0013), 90 (94% vs 87%; P = .0002), and 180 days (92% vs 84%; P = .0001). Age, sex, and some comorbid diseases were also predictors of mortality, but race was not. CONCLUSIONS: We found that CDS can facilitate the early identification of patients needing advanced HF therapy and that its use was associated with significantly more patients visiting specialized heart facilities and longer survival.

Early inpatient calculation of laboratory-based 30-day readmission risk scores empowers clinical risk modification during index hospitalization.

Improving 30-day readmission continues to be problematic for most hospitals. This study reports the creation and validation of sex-specific inpatient (i) heart failure (HF) risk scores using electronic data from the beginning of inpatient care for effective and efficient prediction of 30-day readmission risk. METHODS: HF patients hospitalized at Intermountain Healthcare from 2005 to 2012 (derivation: n=6079; validation: n=2663) and Baylor Scott & White Health (North Region) from 2005 to 2013 (validation: n=5162) were studied. Sex-specific iHF scores were derived to predict post-hospitalization 30-day readmission using common HF laboratory measures and age. Risk scores adding social, morbidity, and treatment factors were also evaluated. RESULTS: The iHF model for females utilized potassium, bicarbonate, blood urea nitrogen, red blood cell count, white blood cell count, and mean corpuscular hemoglobin concentration; for males, components were B-type natriuretic peptide, sodium, creatinine, hematocrit, red cell distribution width, and mean platelet volume. Among females, odds ratios (OR) were OR=1.99 for iHF tertile 3 vs. 1 (95% confidence interval [CI]=1.28, 3.08) for Intermountain validation (P-trend across tertiles=0.002) and OR=1.29 (CI=1.01, 1.66) for Baylor patients (P-trend=0.049). Among males, iHF had OR=1.95 (CI=1.33, 2.85) for tertile 3 vs. 1 in Intermountain (P-trend <0.001) and OR=2.03 (CI=1.52, 2.71) in Baylor (P-trend < 0.001). Expanded models using 182-183 variables had predictive abilities similar to iHF. CONCLUSIONS: Sex-specific laboratory-based electronic health record-delivered iHF risk scores effectively predicted 30-day readmission among HF patients. Efficient to calculate and deliver to clinicians, recent clinical implementation of iHF scores suggest they are useful and useable for more precise clinical HF treatment.

Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation.

OBJECTIVE: Develop and evaluate an automated identification and predictive risk report for hospitalized heart failure (HF) patients. METHODS: Dictated free-text reports from the previous 24 h were analyzed each day with natural language processing (NLP), to help improve the early identification of hospitalized patients with HF. A second application that uses an Intermountain Healthcare-developed predictive score to determine each HF patient's risk for 30-day hospital readmission and 30-day mortality was also developed. That information was included in an identification and predictive risk report, which was evaluated at a 354-bed hospital that treats high-risk HF patients. RESULTS: The addition of NLP-identified HF patients increased the identification score's sensitivity from 82.6% to 95.3% and its specificity from 82.7% to 97.5%, and the model's positive predictive value is 97.45%. Daily multidisciplinary discharge planning meetings are now based on the information provided by the HF identification and predictive report, and clinician's review of potential HF admissions takes less time compared to the previously used manual methodology (10 vs 40 min). An evaluation of the use of the HF predictive report identified a significant reduction in 30-day mortality and a significant increase in patient discharges to home care instead of to a specialized nursing facility. CONCLUSIONS: Using clinical decision support to help identify HF patients and automatically calculating their 30-day all-cause readmission and 30-day mortality risks, coupled with a multidisciplinary care process pathway, was found to be an effective process to improve HF patient identification, significantly reduce 30-day mortality, and significantly increase patient discharges to home care.

Hyperglycemia predicts mortality after CABG: postoperative hyperglycemia predicts dramatic increases in mortality after coronary artery bypass graft surgery.

OBJECTIVE: Risk of morbidity and mortality after coronary artery bypass graft surgery (CABG) is higher in patients with clinical diabetes mellitus (DM). We evaluated whether outcomes are affected by postoperative hyperglycemia in CABG patients independent of preoperative DM diagnosis. RESEARCH DESIGN AND METHODS: A total of 2297 consecutive CABG patients were studied. The first glucose value after surgery completion (mean 15 min) was tested as a predictor of outcome. Primary outcome variables were prolonged ventilation (>24 h), deep sternal wound infection, renal failure, permanent stroke, any reoperation, length of stay (>14 days) and mortality. All outcomes except for prolonged ventilation and length of stay were tracked out to 30 days postoperatively. Patients were stratified by glycemic control: Low (glucose <80), normal (referent, glucose 80-110), high (glucose 111-200) and very high (glucose >200 mg/dl). Multivariable logistic regression was used to determine the independent predictive value of glycemic groups, adjusted for outcome specific risk scores from the Society of Thoracic Surgeons model. RESULTS: Patient distribution among groups low through very high were 44 (1.9%), 476 (20.7%), 1425 (62.0%) and 352 (15.3%). Greater complication rates were noted in the very high group when compared with the referent group: prolonged ventilation (adjusted odds ratio (OR)=2.66, P<.001), length of stay >14 days (adjusted OR=2.06, P=.004) and mortality (adjusted OR=7.71, P<.001). CONCLUSION: Patients with blood glucose values >200 mg/dl immediately after CABG had an increased risk of complications, including mortality, independent of a clinical diagnosis of DM. This study documents the high risk associated with early postoperative hyperglycemia in this group, suggesting the need for prospective trials of glycemic control.

Incremental survival benefit with adherence to standardized heart failure core measures: a performance evaluation study of 2958 patients.

BACKGROUND: In 2002, the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) established four heart failure (HF) core measures to standardize and improve health care quality in the United States. Although adherence to these HF care processes may be improving, their collective impact on survival is not yet settled. METHODS: JCAHO HF measures were implemented within a 20-hospital health care system. Eligible patients had a principal discharge diagnosis of HF. Metrics representing compliance with these measures were derived and their relationship with 1-year survival was examined using an adjusted Cox proportional hazards regression. RESULTS: A total of 2958 patients met study criteria. The average age was 73 years, 50% were male, and 9.9% were smokers. One-year survival benefits were seen in an item-by-item evaluation of HF measures for angiotensin-converting enzyme inhibitor/angiotensin receptor blocker therapy (hazard ratio [HR] = 0.69), left ventricular function assessment (HR = 0.83), and patient education (HR = 0.79). When assessed collectively, improved survival was seen among patients eligible for two (HR = 0.53), three (HR = 0.36), or four HF measures (HR = 0.65). Further, we found a positive and incremental relationship between the degree of adherence and survival (P = .008). CONCLUSION: Adherence to JCAHO HF core measures is associated with improved 1-year survival after HF hospitalization. This validates these simple and effective performance measures and justifies efforts to implement them in all eligible patients with HF.

The paradox of obesity in patients with heart failure.

PURPOSE: Heart failure (HF) patients often have comorbid conditions that confound management and adversely affect prognosis. The purpose of this study was to determine whether the obesity paradox is also present in hospitalized HF patients in an integrated healthcare system. DATA SOURCES: A cohort of 2707 patients with a primary diagnosis of HF was identified within an integrated, 20-hospital healthcare system. Patients were identified by ICD-9 codes or a left ventricular ejection fraction < or =40% dating back to 1995. Body mass index (BMI) was calculated using the first measured height and weight when hospitalized with HF. Survival rates were calculated using Kaplan Meier estimation. Hazard ratios for 3-year mortality with 95% confidence intervals were assessed using Cox regression, controlling for age, gender, and severity of illness at time of diagnosis. CONCLUSIONS: Three-year survival rates paradoxically improved for patients with increasing BMI. Survival rates for the larger three BMI quartiles were significantly better than for the lowest quartile after adjusting for severity of illness, age, and gender. IMPLICATIONS FOR PRACTICE: While obesity increases the risk of developing HF approximately twofold, reports involving stable outpatients suggest that obesity is associated with improved survival after the development of HF. This finding is paradoxical because obesity increases the risk and worsens the prognosis of other cardiovascular diseases.

Improvements in 1-year cardiovascular clinical outcomes associated with a hospital-based discharge medication program.

BACKGROUND: Despite recent advances in the treatment and prevention of cardiovascular disease, a treatment gap for secondary prevention medications still exists. OBJECTIVE: To develop and implement a program ensuring appropriate prescription of aspirin, statins, beta-blockers, angiotensin-converting enzyme inhibitors, and warfarin at hospital discharge. DESIGN: A nonrandomized before-after study comparing patients hospitalized before (1996-1998) and after (1999-2002) implementation of a discharge medication program (DMP). Patients were followed for up to 1 year. SETTING: The 10 largest hospitals in the Utah-based Intermountain Health Care system. PATIENTS: In the pre-DMP and DMP time periods, 26,000 and 31,465 patients, respectively, were admitted to cardiovascular services (n = 57,465). MEASUREMENTS: Prescription of indicated medications at hospital discharge; postdischarge death or readmission. RESULTS: By 1 year, the rate of prescription of each medication increased significantly to more than 90% (P < 0.001); this rate was sustained. At 1 year, unadjusted absolute event rates for readmission and death, respectively, were 210 per 1000 person-years and 96 per 1000 person-years before DMP implementation and 191 per 1000 person-years and 70 per 1000 person-years afterward. Relative risk for death and readmission at 30 days decreased after DMP implementation; hazard ratios (HRs) for death and readmission were 0.81 (95% CI, 0.73 to 0.89) and 0.92 (CI, 0.87 to 0.99) (P < 0.001 and P = 0.017, respectively). At 1 year, risk for death continued to decrease (hazard ratio, 0.79 [CI, 0.75 to 0.84]; P < 0.001) while risk for readmission stabilized (hazard ratio, 0.94 [CI, 0.90 to 0.98]; P = 0.002), probably because survivors had more opportunities to be readmitted. LIMITATIONS: The study design was observational and nonrandomized, and the authors could not control for potential confounders or determine the extent to which secular trends accounted for the observed improvements. CONCLUSIONS: A relatively simple quality improvement program aimed at enhancing the prescription of appropriate discharge medications among cardiovascular patients is feasible and can be sustained within an integrated multihospital system. Such a program may be associated with improvements in cardiovascular readmission rates and mortality.