Pulmonary function as a continuum of risk: critical care utilization and survival after allogeneic hematopoietic stem cell transplantation - a multicenter cohort study.

Abnormal pre-transplant pulmonary function tests (PFTs) are associated with reduced survival after allogeneic HCT. Existing scoring systems consider risk dichotomously, attributing risk only to those with abnormal lung function. In a multicenter cohort of 1717 allo-HCT recipients, we examined the association between pre-transplant PFT measures and need for ICU admission (120d), frequency of mechanical ventilation (120d) and overall survival (5 y). Predictive models were developed and validated using Cox proportional hazards, incorporating age, FEV1 (forced expiratory volume in 1-second) and diffusing capacity (DLCO). In univariate analysis, hazard ratios for each outcome (95% CI) were: mechanical ventilation (FEV1: 0.60 [0.52-0.69], DLCO: 0.69 [0.61-0.77], p < 0.001), ICU admission (FEV1: 0.74 [0.67-0.82], DLCO: 0.79 [0.72-0.86], p < 0.001) and overall survival (FEV1: HR 0.87 [0.81-0.94], DLCO: 0.83 [0.77-0.89], p < 0.001). A multivariable Cox model was developed and compared to the HCT-CI Pulmonary score in a validation cohort. This model was better at predicting need for ICU admission and mechanical ventilation, while both models predicted overall survival (p < 0.001). In conclusion, the risk conferred by pre-transplant pulmonary function should be considered in a continuous rather than dichotomous manner. A more granular prognostication system can better inform risk of critical care utilization in the early post-HCT period.

Advanced Heart Failure Epidemiology and Outcomes: A Population-Based Study.

OBJECTIVES: The goal of this study was to evaluate the prevalence, characteristics, and outcomes of patients with advanced heart failure (HF) in a geographically defined population. BACKGROUND: Some patients with HF progress to advanced HF, characterized by debilitating HF symptoms refractory to therapy. Limited data are available on the epidemiology and outcomes of patients with advanced HF. METHODS: This was a population-based cohort study of all Olmsted County, Minnesota, adults with and without HF from 2007 to 2017. The 2018 European Society of Cardiology advanced HF diagnostic criteria were operationalized and applied to all patients with HF. Hospitalization and mortality in advanced HF, overall and according to ejection fraction (EF) type (reduced EF <40% [HFrEF], mid-range EF 40%-49% [HFmrEF], and preserved EF ≥50% [HFpEF]) were examined using Andersen-Gill and Cox models. RESULTS: Of 6,836 adults with HF, 936 (13.7%) met criteria for advanced HF. The prevalence of advanced HF increased with age and was higher in men. At advanced HF diagnosis, 396 (42.3%) patients had HFrEF, 134 (14.3%) had HFmrEF, and 406 (43.4%) had HFpEF. The median (interquartile range) time from advanced HF diagnosis to death was 12.2 months (3.7-29.9 months). The mean rate of hospitalization was 2.91 (95% CI: 2.78-3.06) per person-year in the first year after advanced HF diagnosis. There were no differences in risks of all-cause mortality or hospitalization by EF. Patients with advanced HFpEF were at lower risk for cardiovascular mortality compared with advanced HFrEF (HR: 0.79; 95% CI: 0.65-0.97). CONCLUSIONS: In this population-based study, more than one-half of patients with advanced HF had mid-range or preserved EF, and survival was poor regardless of EF.

Improving Quality of Life in Patients at Risk for Post-Intensive Care Syndrome.

OBJECTIVE: To improve quality of life (QOL) in patients at risk for post-intensive care syndrome (PICS). PATIENTS AND METHODS: We conducted a mixed-method, prospective, observational, pre-post interventional study in an adult medical and mixed medical/surgical/transplant intensive care unit (ICU) at a tertiary academic hospital. Preintervention included patients admitted from October 1 through October 31, 2016, and postintervention included patients admitted from January 15 through February 14, 2017. First, a multidisciplinary team of stakeholders identified barriers associated with decreased QOL in patients at risk for PICS. Next, interventions were designed and implemented. The effect of interventions was assessed using a mixed-method analysis. The qualitative analysis used a modified grounded theory approach. The quantitative analysis included assessment of preexisting symptoms and risk factors associated with PICS. The 36-Item Short-Form Health Status Survey (SF-36), which surveys physical and mental composite scores, was used to assess QOL. RESULTS: Barriers identified were lack of awareness and understanding of PICS. Interventions included educational videos, paper and online education and treatment materials, and online and in-person support groups for education and treatment. After interventions, the qualitative analysis found that patients who participated in the interventions after hospital discharge showed improved QOL, whereas education during hospitalization alone was not effective. The quantitative analysis did not find improvement in QOL, as defined by SF-36 physical or mental composite scores. CONCLUSION: Interventions targeted to patients after hospitalization may offer subjective improvement in QOL for those at risk for PICS.

Body Weight Change During and After Hospitalization for Acute Heart Failure: Patient Characteristics, Markers of Congestion, and Outcomes: Findings From the ASCEND-HF Trial.

OBJECTIVES: This study sought to examine the relationships between in-hospital and post-discharge body weight changes and outcomes among patients hospitalized for acute heart failure (AHF). BACKGROUND: Body weight changes during and after hospitalization for AHF and the relationships with outcomes have not been well characterized. METHODS: A post hoc analysis was performed of the ASCEND-HF (Acute Study of Clinical Effectiveness of Nesiritide and Decompensated Heart Failure) trial, which enrolled patients admitted for AHF regardless of ejection fraction. In-hospital body weight change was defined as the difference between baseline and discharge/day 10, whereas post-discharge body weight change was defined as the difference between discharge/day 10 and day 30. Spearman rank correlations of weight change, urine output (UOP), and dyspnea relief as assessed by a 7-point Likert scale are described. Logistic and Cox proportional hazards regression was used to evaluate the relationship between weight change and outcomes. RESULTS: Study participants with complete body weight data (n = 4,172) had a mean age of 65 ± 14 years, and 66% were male. Ischemic heart disease was reported in 60% of patients and the average ejection fraction was 30 ± 13%. The median change in body weight was -1.0 kg (interquartile range: -2.1 to 0.0 kg) at 24 h and -2.3 kg (interquartile range: -5.0 to -0.7 kg) by discharge/day 10. At hour 24, there was a weak correlation between change in body weight and UOP (r = -0.381), and minimal correlation between body weight change and dyspnea relief (r = -0.096). After risk adjustment, increasing body weight during hospitalization was associated with a 16% increase per kg in the likelihood of 30-day mortality or HF readmission for patients showing weight loss ≤1 kg or weight gain during hospitalization (odds ratio per kg increase 1.16, 95% confidence interval [CI]: 1.09 to 1.27; p < 0.001). Among the subset of patients experiencing >1-kg increase in body weight post-discharge, increasing body weight was associated with higher risk of 180-day mortality (hazard ratio per kg increase 1.16; 95% CI: 1.09 to 1.23; p < 0.001). CONCLUSIONS: A substantial number of patients experienced minimal weight loss or frank weight gain in the context of an AHF trial, and increasing body weight in this subset of patients was independently associated with a worse post-discharge prognosis.