Risk For Early Rehospitalization Research Articles

A166 RISK STRATIFICATION OF EARLY RE-HOSPITALIZATION IN PERSONS WITH INFLAMMATORY BOWEL DISEASES USING MULTIVARIABLE MODELS

Abstract Background Hospitalization for persons with inflammatory bowel disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), is a significant contributor to morbidity and health care costs in Canada. Recognition of individuals at high risk of re-hospitalization could help inform targeted outpatient interventions that mitigate this risk. Purpose The aim of our study is to derive prediction models of risk of early (90-day) re-hospitalization among persons with IBD. Method We conducted a retrospective cohort study of all adult persons with IBD admitted to The Ottawa Hospital, Canada, for an acute IBD-related indication between April 2009 - March 2016. Demographic, clinical, and health services variables were obtained through chart review. Persons were linked to population-based health administrative datasets to identify historical and future IBD-related hospitalizations across the greater Ottawa region. Multivariable logistic regression models of 90-day re-hospitalization in persons with CD and UC were derived, and candidate predictors that demonstrated an independent association with the outcome at a p-value of 0.1 were retained. Bootstrap internal validation (200 iterations) was performed on the final models. Model performance and calibration were evaluated using the optimism-corrected c-statistic value and Hosmer-Lemeshow goodness of fit test, respectively. Adjusted odds ratios are reported with 95% confidence intervals (CI). Optimal probability cut points for re-hospitalization were selected to optimize sensitivity, specificity, and the J (Youden’s) index. Result(s) There were 524 CD and 248 UC hospitalizations during the study period. Of these, 57 (10.9%) CD and 27 (10.9%) UC hospitalizations were associated with re-hospitalization within 90 days of discharge. Forty-two candidate predictors were tested among CD hospitalizations, and 35 were tested among UC hospitalizations. Four variables were retained in each of the final models. Model performance and calibration for each variable are described in Table 1. The optimal range of probability cut points allowed for a sensitivity/positive predictive value (PPV)/false positive rate (FPR) of 0.72/0.23/0.29 (maximum J-index of 0.43) in the model for CD, and 0.78/0.33/0.19 (maximum J-index of 0.59) in the model for UC, respectively. Image Conclusion(s) Demographic, clinical, and health services variables at the time of discharge have the potential to help identify persons with IBD at risk of early re-hospitalization, thereby permitting targeted outpatient intervention. Application of the models to our reference cohorts would earmark 1/3 or less of patients for early post-discharge intervention, with the potential to benefit more than 70% of patients destined for early re-hospitalization. Although the PPVs of our models were low, the models incorrectly predicted early re-hospitalization in less than 30% of patients. We are in process of externally validating these models in other jurisdictions across Ontario to test their generalizability. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

Measures of Global Health Status on Dialysis Signal Early Rehospitalization Risk after Kidney Transplantation.

BackgroundEarly rehospitalization (<30 days) after discharge from kidney transplantation (KT) is associated with poor outcomes. We explored summary metrics of pre-transplant health status that may improve the identification of KT recipients at risk for early rehospitalization and mortality after transplant.Materials and MethodsWe performed a retrospective cohort study of 8,870 adult (≥ 18 years) patients on hemodialysis who received KT between 2000 and 2010 at United States transplant centers. We linked Medicare data to United Network for Organ Sharing data and data from a national dialysis provider to examine pre-KT (1) Elixhauser Comorbidity Index, (2) physical function (PF) measured by the Short Form 36 Health Survey, and (3) the number of hospitalizations during the 12 months before KT as potential predictors of early rehospitalization after KT. We also explored whether these metrics are confounders of the known association between early rehospitalization and post-transplant mortality.ResultsThe median age was 52 years (interquartile range [IQR] 41, 60) and 63% were male. 29% were rehospitalized in <30 days, and 20% died during a median follow-up time of five years (IQR 3.6–6.5). In a multivariable logistic model, kidney recipients with more pre-KT Elixhauser comorbidities (adjusted odds ratio [aOR] 1.09 per comorbidity, 95% Confidence Interval [CI] 1.07–1.11), the poorest pre-KT PF (aOR 1.24, 95% CI 1.08–1.43), or >1 pre-KT hospitalizations (aOR 1.32, 95% CI 1.17–1.49) were more likely to be rehospitalized. All three health status metrics and early rehospitalization were independently associated with post-KT mortality in a multivariable Cox model (adjusted hazard ratio for rehospitalization: 1.41, 95% CI 1.28–1.56)ConclusionsPre-transplant metrics of health status, measured by dialysis providers or administrative data, are independently associated with early rehospitalization and mortality risk after KT. Transplant providers may consider utilizing metrics of pre-KT global health status as early signals of vulnerability when transitioning care after KT.

Rehospitalization risk factors for psychiatric treatment among elderly Medicaid beneficiaries following hospitalization for a physical health condition

Objectives: Hospitalizations for physical health problems can cause great mental health challenges. We examined risk factors and expenditures for early readmission for inpatient psychiatric treatment following a hospitalization for a non-psychiatric condition.Method: We used eight years of Florida Medicaid enrollment and claims data for (FY 2003–2011) as well as data obtained from the Florida Center for Health Information and Policy Analysis, Inpatient Hospital Database, to identify episodes of hospitalization for all Medicaid-enrolled older adults. There were a total of 781,660 index hospitalizations for non-behavioral health-related hospitalizations, 2690 (0.3%) of which resulted in a behavioral health-related rehospitalization within 30 days after discharge. We estimated the relative risk of early rehospitalization using Cox proportional hazards regression.Results: Participants (n = 276,254) were 76.8 ± 8.3 years old; 68.4% female and 43.5% White. As expected, we found that having a preexisting behavioral health disorder (including severe mental illness, substance use disorder, or dementia) greatly increased the risk of readmission. We also found that male gender increased the risk of early readmission. Older age, being Black and having one or more comorbid medical conditions as identified by the Charlson Index were associated with substantially reduced risk.Conclusion: Identifying hospitalized patients with psychiatric conditions, as well as those who are relatively young within this age group, male, White rather than Black or of other race, alcohol abusers, and those without comorbid conditions, and providing them with care to address their behavioral needs may help in efforts to reduce early rehospitalizations for psychiatric conditions.

Abstract 126: In-hospital Depression Predicts Early Hospital Readmission after an Acute Coronary Syndrome: Preliminary Data from TRACE-CORE

Background: Hospital systems, patients and providers seek to avert rehospitalizations within 30 days for patients admitted with an acute coronary syndrome (ACS). Rehospitalizations within 30 days of discharge are often considered preventable and to reflect poor in-hospital management or discharge practices. However, independent associations of psychosocial factors with early rehospitalization in patients admitted with an ACS have not been examined. Methods: A multi-racial cohort of 1,540 patients admitted with an ACS reported psychosocial factors via standardized questionnaires in an in-hospital interview. One month following discharge, patients were interviewed via phone and reported hospital readmissions. We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of the association between in-hospital psychosocial characteristics (depression, anxiety, and perceived stress), health literacy and numeracy, and cognitive status, with self-reported readmission within 30 days. Results: Participants were 34% female and 17% non-white, with a mean age of 62 years and a mean length of stay of 4.1 days. Rehospitalization was reported for 14% (n=208) of participants, 77% of which were due to CVD. In univariate analyses, in-hospital severe depression, anxiety, and high stress were associated with higher odds of early readmission, whereas low health numeracy was associated with lower odds of early readmission (Table 1). Severe depression remained associated with higher odds and low health numeracy remained associated with lower odds of early readmission in a multivariable model including covariates associated on univariate testing with rehospitalization. Conclusions: Early readmission after hospitalization for an ACS was common and associated with in-hospital depression and health numeracy. Notably, depression and health numeracy were the only predictors independently associated with readmission in multivariable analyses. We speculate that the lower likelihood of readmission for those with low numeracy may be related to less engagement with the healthcare system. In-hospital screening for depression and characterization of health numeracy may help stratify risk for early rehospitalization after an ACS.

Telemedicine for lowering 30-day readmission rates following acute myocardial infarction: an observational study

Background: Patients hospitalized for an Acute Myocardial Infarction (AMI) are frequently at risk for early rehospitalization. Readmission rates in the community reportedly reach ∼20%, and many rehospitalizations seem to be unrelated to the index AMI. Comorbid conditions play a central role in rehospitalizations and need to be monitored and treated to prevent readmissions. Indeed, 30-day rehospitalization rates have become a marker of quality-of-care. Purpose: To assess the 30-day readmission rate of post-AMI with/without known cardiovascular risk factors who are subscribers to a telemedicine facility. Methods: A telemedical facility's files of all subscribers who sustained an AMI and who became members of that service within 2 weeks from infarction between 2009-2012 were reviewed for demographics, coronary risk factors, reasons for readmission and discharge diagnoses. Results: A total of 795 suitable patients (mean age 62±14 years, 81% males) were included. They made 2,973 calls to the monitor center for consultations and therapeutic directions. A mobile intensive care unit was dispatched for 144 patients: 68 were transported to hospital and 52 (6.5%) were readmitted. There was a tendency (p=0.08) towards a lower readmission rate for first-time AMI patients (5.9%) compared to those with a previous AMI (9.9%), but, most importantly, unlike published figures for the general population, there were no significant differences in gender, diabetes (9.1% vs 5.7%), hypertension (6.2% vs 7.0%), chronic heart failure (CHF; 10.2% vs 6.2%) or previous revascularizations (5.9% vs 7.9%) between readmitted and non-readmitted telemedicine subscribers. Most (n=37) readmissions were due to chest pain: 4 patients re-infarcted and 8 had recurrent angina (all 12 were revascularized). Fifteen patients were readmitted for non-cardiovascular reasons. Conclusions: Implementation of telemedicine technology for out-of-hospital treatment of both cardiac and non-cardiac conditions contributed to substantially decreasing 30-day post-AMI rehospitalization rates.

Medical and Economic Costs of Psychologic Distress in Patients With Coronary Artery Disease

To determine the effect of psychologic distress, measured with a commonly used screening questionnaire, on 6-month morbidity and rehospitalization costs in coronary patients. Psychologic distress was determined by screening with the Symptom Checklist-90--Revised (SCL-90-R) self-report inventory during the second week of cardiac rehabilitation. Costs associated with cardiovascular rehospitalization during a 6-month follow-up period were recorded, and differences between "distressed" and "nondistressed" patients were analyzed statistically. The study cohort consisted of 381 patients (311 men and 70 women) referred for cardiac rehabilitation after an index hospitalization for unstable angina, myocardial infarction, coronary angioplasty, or coronary bypass procedure. Patients with SCL-90-R scores above the 90th percentile for outpatient adults were considered distressed (N = 41); patients with scores below this level were considered nondistressed (N = 340). The 6-month follow-up was complete in all but 1 of the 381 patients. Distressed patients had significantly higher rates of cardiovascular rehospitalization, any recurrent events, and recurrent "hard events" (cardiac death, myocardial infarction, or cardiac arrest and resuscitation) within 6 months after dismissal from their index hospitalization in comparison with nondistressed patients. Adjustment for other factors associated with a risk of early rehospitalization and recurrent events did not reduce the strength or significance of the association between psychologic distress and early cardiovascular rehospitalization or recurrent events. The mean rehospitalization costs were significantly higher in the distressed than in the nondistressed patients ($9,504 versus $2,146). These data add support to the hypothesis that psychologic distress adversely affects the prognosis in coronary patients, confirm the added morbidity and rehospitalization costs attributable to psychologic distress, and suggest the potential for improving the prognosis in selected coronary patients by identification and appropriate treatment of psychologic distress.