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Background: Women have an increased risk of rehospitalization in the immediate postdischarge period; however, few studies have determined how readmission risk dynamically changes on a day-to-day basis over the full year after hospitalization by sex and how these differences compare with the risk for mortality., Methods and Results: We identified >3 000 000 hospitalizations of patients with a principal discharge diagnosis of heart failure, acute myocardial infarction, or pneumonia and estimated sex differences in the daily risk of rehospitalization/death 1 year after discharge from a population of Medicare fee-for-service beneficiaries aged 65 years and older. We calculated the (1) time required for adjusted rehospitalization/mortality risks to decline 50% from maximum values after discharge, (2) time required for the adjusted readmission risk to approach plateau periods of minimal day-to-day change, and (3) extent to which adjusted risks are greater among recently hospitalized patients versus Medicare patients. We identified 1 392 289, 530 771, and 1 125 231 hospitalizations for heart failure, acute myocardial infarction, and pneumonia, respectively. The adjusted daily risk of rehospitalization varied by admitting condition (hazard rate ratio for women versus men, 1.10 for acute myocardial infarction; hazard rate ratio, 1.04 for heart failure; and hazard rate ratio, 0.98 for pneumonia). However, for all conditions, the adjusted daily risk of death was higher among men versus women (hazard rate ratio women versus with men, <1). For both sexes, there was a similar timing of peak daily risk, half daily risk, and reaching plateau., Conclusions: Although the association of sex with daily risk of rehospitalization varies across conditions, women are at highest risk after discharge for acute myocardial infarction. Future studies should focus on understanding the determinants of sex differences in rehospitalization risk among conditions., (© 2017 American Heart Association, Inc.)

Background: The risk of rehospitalization is elevated in the immediate post-discharge period and declines over time. It is not known if the extent and timing of risk vary across readmission diagnoses, suggesting that recovery and vulnerability after discharge differ by physiologic system., Objective: We compared risk trajectories for major readmission diagnoses in the year after discharge among all Medicare fee-for-service beneficiaries hospitalized with heart failure (HF), acute myocardial infarction (AMI), or pneumonia from 2008-2010., Methods: We estimated the daily risk of rehospitalization for 12 major readmission diagnostic categories after accounting for the competing risk of death after discharge. For each diagnostic category, we identified (1) the time required for readmission risk to peak and then decline 50% from maximum values after discharge; (2) the time required for readmission risk to approach plateau periods of minimal day-to-day change; and (3) the extent to which hospitalization risks are higher among patients recently discharged from the hospital compared with the general elderly population., Results: Among >3,000,000 hospitalizations, the yearly rate of rehospitalization was 67.0%, 49.5%, and 55.3% after hospitalization for HF, AMI, and pneumonia, respectively. The extent and timing of risk varied by readmission diagnosis and initial admitting condition. Risk of readmission for gastrointestinal bleeding/anemia peaked particularly late after hospital discharge, occurring 10, 6, and 7 days after hospitalization for HF, AMI, and pneumonia, respectively. Risk of readmission for trauma/injury declined particularly slowly, requiring 38, 20, and 38 days to decline by 50% after hospitalization for HF, AMI, and pneumonia, respectively., Conclusions: Patterns of vulnerability to different conditions that cause rehospitalization vary by time after hospital discharge. This finding suggests that recovery of various physiologic systems occurs at different rates and that post-discharge interventions to minimize vulnerability to specific conditions should be tailored to their underlying risks., Competing Interests: The authors have read the journal's policy and the authors of this manuscript have the following competing interests: Dr. Krumholz chairs a cardiac scientific advisory board for United Health and is the recipient of research agreements from Medtronic and from Johnson & Johnson (Janssen), through Yale University, to develop methods of clinical trial data sharing. Drs Krumholz and Dharmarajan work under contract to the Centers for Medicare & Medicaid Services to develop and maintain hospital performance measures. Dr. Dharmarajan serves on a scientific advisory board for Clover Health. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Purpose: Interpreting the clinical significance of changes in patient-reported outcomes (PROs) is critically important. The most commonly used approach is to anchor mean changes on PRO scores against a global assessment of change. Whether the assessor of global change should be patients or their physicians is unknown. We compared patients' and physicians' assessments of change over time to examine which was more aligned with patients' changes in PRO measures., Methods: A total of 459 chronic heart failure patients aged >30 years were enrolled from 13 US centers. Data were obtained by medical record abstraction, physical assessments, and patient interviews at a baseline clinic visit and 6 weeks later. Health status was measured with the disease-specific Kansas City Cardiomyopathy Questionnaire (KCCQ), and both patients and physicians completed a validated 15-level global assessment of change, ranging from large deterioration to large improvement., Results: There was substantial variation between physicians/patients' global assessment of clinical change (weighted kappa = 0.36, 95 % CI 0.28, 0.43). Overall, physician assessments were more strongly correlated with change on the KCCQ summary score than were patients' assessments (physician R = 0.37, patient R = 0.29)., Conclusion: There was substantial variation between patients' and physicians' global assessment of 6-week change in heart failure status. Physician assessments of the importance of clinical changes were more strongly associated with changes in all domains of patient-reported health status, as assessed by the KCCQ, and may provide a more consistent method for defining the clinical importance of changes in patients' health status.

Objectives To characterize the magnitude and duration of risk of rehospitalization according to age after hospitalization for heart failure ( HF), acute myocardial infarction ( AMI), or pneumonia. Design Retrospective cohort study. Setting U.S. hospitals (n = 4,767). Participants All Medicare fee-for-service beneficiaries aged 65 and older surviving hospitalization for HF, AMI, or pneumonia between October 2012 and December 2013. Measurements Daily risk of first rehospitalization for 1 year after hospital discharge was calculated according to age category (65-74, 75-84, ≥85) after adjustment for sex, race, comorbidities, and median ZIP code income. Time required for adjusted rehospitalization risk to decline 50% from maximum value after discharge, time required for adjusted risk to approach a plateau period of minimal day-to-day change, and degree to which adjusted risk was higher in recently hospitalized individuals than in the general elderly population were identified. Results There were 414,720 hospitalizations for HF, 177,752 for AMI, and 568,304 for pneumonia. The adjusted risk of rehospitalization declined with increasing age after HF hospitalization ( P < .001), rose with increasing age after AMI hospitalization ( P < .001), and was slightly lower with increasing age after pneumonia hospitalization ( P = .002). Adjusted risks of rehospitalization were high beyond 30 days after hospitalization for all ages. Conclusion Although older age has heterogeneous relationships with rehospitalization risk, risk of readmission remains high for an extended time after discharge regardless of age or admitting condition. Condition-specific data on risk can be used to guide discussions on advanced care planning and strategies for longitudinal follow-up after hospitalization. [ABSTRACT FROM AUTHOR]