Risk Factors and Clinical Outcomes of Nonhome Discharge in Patients With Acute Decompensated Heart Failure: An Observational Study

Predictors of Nonhome Discharge After Cervical Disc Replacement

STUDY DESIGN

Retrospective review of a national database.

OBJECTIVE

The aim of this study was to identify the factors that increase the risk of nonhome discharge after CDR.

SUMMARY OF BACKGROUND DATA

As spine surgeons continue to balance increasing surgical volume, identifying variables associated with patient discharge destination can help expedite postoperative placement and reduce unnecessary length of stay. However, no prior study has identified the variables predictive of nonhome patient discharge after cervical disc replacement (CDR).

METHODS

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for patients who underwent primary 1-level or 2-level CDR between 2011 and 2020. Multivariable Poisson regression with robust error variance was employed to identify the predictors for nonhome discharge destination following surgery.

RESULTS

A total of 7276 patients were included in this study, of which 94 (1.3%) patients were discharged to a nonhome destination. Multivariable regression revealed older age (OR: 1.076, P<0.001), Hispanic ethnicity (OR: 4.222, P=0.001), BMI (OR: 1.062, P=0.001), ASA class ≥3 (OR: 2.562, P=0.002), length of hospital stay (OR: 1.289, P<0.001), and prolonged operation time (OR: 1.007, P<0.001) as predictors of nonhome discharge after CDR. Outpatient surgery setting was found to be protective against nonhome discharge after CDR (OR: 0.243, P<0.001).

CONCLUSIONS

Age, Hispanic ethnicity, BMI, ASA class, prolonged hospital stay, and prolonged operation time are independent predictors of nonhome discharge after CDR. Outpatient surgery setting is protective against nonhome discharge. These findings can be utilized to preoperatively risk stratify expected discharge destination, anticipate patient discharge needs postoperatively, and expedite discharge in these patients to reduce health care costs associated with prolonged length of hospital stay.

LEVEL OF EVIDENCE

IV.

Incidence, Predictors, and Outcomes of Nonhome Discharge Following Transcatheter Aortic Valve Implantation: A Multicenter Australian Experience-The NHD TAVI Study

Patients who undergo transcatheter aortic valve implantation (TAVI) commonly experience nonhome discharge (NHD), a phenomenon associated with increased health care expenditure and possibly poorer outcomes. Despite its clinical relevance in TAVI, the incidence and predictors of NHD and its impact on the quality of life remain poorly characterized. Also unknown is the proportion of patients who undergo TAVI that require long-term residential care after initial NHD. Therefore, we aimed to address these questions using a large, multicenter Australian cohort. A total of 2,229 patients who underwent TAVI from 2010 to 2023 included in the Alfred-Cabrini-Epworth TAVI Registry were analyzed. The median age was 82 (interquartile range 78 to 86) years and 41% were women. A total of 257 patients (12%) were not discharged home after TAVI, with the incidence falling over time (R2 = 0.636, p <0.001). A multivariable logistic regression model for NHD prediction was developed with excellent calibration and discrimination (C-statistic = 0.835). The independent predictors of NHD were postprocedural stroke (adjusted odds ratio [aOR] 11.05), procedure at a private hospital (aOR 3.01), living alone (aOR 2.35), vascular access site complications (aOR 2.09), frailty (aOR 1.89), age >80 years (aOR 1.82), hypoalbuminemia (aOR 1.76), New York Heart Association III to IV (aOR 1.74), and hospital length of stay (aOR 1.13) (all p <0.05). NHD was not associated with mortality at 30 days and <1% of all patients required longer-term residential care. In conclusion, although common after TAVI, NHD does not predict short-term mortality, most patients successfully return home within 30 days, and when used appropriately, NHD may serve as a brief and effective method of optimizing functional status without compromising long-term independence.

Postoperative Discharge to Acute Rehabilitation or Skilled Nursing Facility Compared With Home Does Not Reduce Hospital Readmissions, Return to Surgery, or Improve Outcomes Following Adult Spine Deformity Surgery

STUDY DESIGN

Retrospective review of a prospective multicenter adult spinal deformity (ASD) study.

OBJECTIVE

The aim of this study was to evaluate 30-day readmissions, 90-day return to surgery, postoperative complications, and patient-reported outcomes (PROs) for matched ASD patients receiving nonhome discharge (NON), including acute rehabilitation (REHAB), and skilled nursing facility (SNF), or home (HOME) discharge following ASD surgery.

SUMMARY OF BACKGROUND DATA

Postoperative disposition following ASD surgery frequently involves nonhome discharge. Little data exists for longer term outcomes for ASD patients receiving nonhome discharge versus patients discharged to home.

MATERIALS AND METHODS

Surgically treated ASD patients prospectively enrolled into a multicenter study were assessed for NON or HOME disposition following hospital discharge. NON was further divided into REHAB or SNF. Propensity score matching was used to match for patient age, frailty, spine deformity, levels fused, and osteotomies performed at surgery. Thirty-day hospital readmissions, 90-day return to surgery, postoperative complications, and 1-year and minimum 2-year postoperative PROs were evaluated.

RESULTS

A total of 241 of 374 patients were eligible for the study. NON patients were identified and matched to HOME patients. Following matching, 158 patients remained for evaluation; NON and HOME had similar preoperative age, frailty, spine deformity magnitude, surgery performed, and duration of hospital stay ( P >0.05). Thirty-day readmissions, 90-day return to surgery, and postoperative complications were similar for NON versus HOME and similar for REHAB (N=64) versus SNF (N=42) versus HOME ( P >0.05). At 1-year and minimum 2-year follow-up, HOME demonstrated similar to better PRO scores including Oswestry Disability Index, Short-Form 36v2 questionnaire Mental Component Score and Physical Component Score, and Scoliosis Research Society scores versus NON, REHAB, and SNF ( P <0.05).

CONCLUSIONS

Acute needs must be considered following ASD surgery, however, matched analysis comparing 30-day hospital readmissions, 90-day return to surgery, postoperative complications, and PROs demonstrated minimal benefit for NON, REHAB, or SNF versus HOME at 1- and 2-year follow-up, questioning the risk and cost/benefits of routine use of nonhome discharge.

LEVEL OF EVIDENCE

Level III-prognostic.

A machine-learning-based prediction of non-home discharge among acute heart failure patients

BACKGROUND

Scarce data on factors related to discharge disposition in patients hospitalized for acute heart failure (AHF) were available, and we sought to develop a parsimonious and simple predictive model for non-home discharge via machine learning.

METHODS

This observational cohort study using a Japanese national database included 128,068 patients admitted from home for AHF between April 2014 and March 2018. The candidate predictors for non-home discharge were patient demographics, comorbidities, and treatment performed within 2 days after hospital admission. We used 80% of the population to develop a model using all 26 candidate variables and using the variable selected by 1 standard-error rule of Lasso regression, which enhances interpretability, and 20% to validate the predictive ability.

RESULTS

We analyzed 128,068 patients, and 22,330 patients were not discharged to home; 7,879 underwent in-hospital death and 14,451 were transferred to other facilities. The machine-learning-based model consisted of 11 predictors, showing a discrimination ability comparable to that using all the 26 variables (c-statistic: 0.760 [95% confidence interval, 0.752-0.767] vs. 0.761 [95% confidence interval, 0.753-0.769]). The common 1SE-selected variables identified throughout all analyses were low scores in activities of daily living, advanced age, absence of hypertension, impaired consciousness, failure to initiate enteral alimentation within 2 days and low body weight.

CONCLUSIONS

The developed machine learning model using 11 predictors had a good predictive ability to identify patients at high risk for non-home discharge. Our findings would contribute to the effective care coordination in this era when HF is rapidly increasing in prevalence.

Prognostic Value of the Severity of Clinical Congestion in Patients Hospitalized for Decompensated Heart Failure: Findings From the Japanese KCHF Registry

BACKGROUND

Congestion is a leading cause of hospitalization and a major therapeutic target in patients with heart failure (HF). Clinical practice in Japan is characterized by a long hospital stay, which facilitates more extensive decongestion during hospitalization. We herein examined the time course and prognostic impact of clinical congestion in a large contemporary Japanese cohort of HF.

METHODS AND RESULTS

Peripheral edema, jugular venous pressure, and orthopnea were graded on a standardized 4-point scale (0-3) in 3787 hospitalized patients in a Japanese cohort of HF. Composite Congestion Scores (CCS) on admission and at discharge were calculated by summing individual scores. The primary outcome was a composite of all-cause death or HF hospitalization. The median admission CCS was 4 (interquartile range, 3-6). Overall, 255 patients died during the median hospitalization length of 16 days, and 1395 died or were hospitalized for HF over a median postdischarge follow-up of 396 days. The cumulative 1-year incidence of the primary outcome increased at higher tertiles of congestion on admission (32.5%, 39.3%, and 41.0% in the mild [CCS ≤3], moderate [CCS = 4 or 5], and severe [CCS ≥6] congestion groups, respectively, log-rank P < .001). The adjusted hazard ratios of moderate and severe congestion relative to mild congestion were 1.205 (95% confidence interval [CI], 1.065-1.365; P = .003) and 1.247 (95% CI, 1.103-1.410; P < .001), respectively. Among 3445 patients discharged alive, 85% had CCS of 0 (complete decongestion) and 15% had a CCS of 1 or more (residual congestion) at discharge. Although residual congestion predicted a risk of postdischarge death or HF hospitalization (adjusted hazard ratio, 1.314 [1.145-1.509]; P < .001), the admission CCS correlated with the risk of postdischarge death or HF hospitalization, even in the complete decongestion group. No correlation was observed for postdischarge death or HF hospitalization between residual congestion at discharge and admission CCS (P for the interaction = .316).

CONCLUSIONS

In total, 85% of patients were discharged with complete decongestion in Japanese clinical practice. Clinical congestion, on admission and at discharge, was of prognostic value. The severity of congestion on admission was predictive of adverse outcomes, even in the absence of residual congestion.

CLINICAL TRIAL REGISTRATION

https://clinicaltrials.gov/ct2/show/NCT02334891 (NCT02334891) https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000017241 (UMIN000015238).

Survival after multiple episodes of cardiac arrest

BACKGROUND

Cardiopulmonary resuscitation (CPR) is widely used in response to cardiac arrest. However, little is known regarding outcomes for those who undergo multiple episodes of cardiac arrest while in the hospital.

OBJECTIVES

The purpose of this study was to evaluate the association of multiple cardiac events with in-hospital mortality for patients admitted to our tertiary care hospital who underwent multiple code events.

METHODS

We performed a retrospective cohort study on all patients who underwent cardiac arrest from 2012 to 2016. Primary outcome was survival to discharge. Secondary outcomes included post-cardiac-arrest neurologic events (PCANE), non-home discharge, and one-year mortality.

RESULTS

There were 622 patients with an overall mortality rate of 78.0%. Patients undergoing CPR for cardiac arrest once during their admission had lower in-hospital mortality rates compared to those that had multiple (68.9% versus 91.3%, p<.01). Subset analysis of those who had multiple episodes of CPR revealed that more than one event within a 24-hour period led to significantly higher in-hospital mortality rates (94.7% versus 74.4%, p<.01). Other variables associated with in-hospital mortality included body mass index, female sex, malignancy, and increased down time per code. Patients that had a non-home discharge were more likely to have sustained a PCANE than those that were discharged home (31.4% versus 3.9%, p<.01). A non-home discharge was associated with higher one-year mortality rates compared to a home discharge (78.4% versus 54.3%, p=.01).

CONCLUSION

Multiple codes within a 24-hour period and the average time per code were associated with in-hospital mortality in cardiac arrest patients.

Association of peripheral venous pressure with adverse post-discharge outcomes in patients with acute heart failure: a prospective cohort study

AIMS

Congestion is the major cause of hospitalization for heart failure (HF). Traditional bedside assessment of congestion is limited by insufficient accuracy. Peripheral venous pressure (PVP) has recently been shown to accurately predict central venous congestion. We examined the association between PVP before discharge and post-discharge outcomes in hospitalized patients with acute HF.

METHODS AND RESULTS

Bedside PVP measurement at the forearm vein and traditional clinical examination were performed in 239 patients. The association with the primary composite endpoint of cardiovascular death or HF hospitalization and the incremental prognostic value beyond the established HF risk score was examined. The PVP correlated with peripheral oedema, jugular venous pressure, and inferior vena cava diameter, but not with brain-type natriuretic peptide. The 1-year incidence of the primary outcome measure in the first, second, and third tertiles of PVP was 21.4, 29.9, and 40.7%, respectively (log-rank P = 0.017). The adjusted hazard ratio of PVP per 1 mmHg increase for the 1-year outcome was 1.08 [95% confidence interval (1.03-1.14), P = 0.004]. When added onto the Meta-Analysis Global Group in Chronic HF risk score, PVP significantly increased the area under the receiver-operating characteristic curve for predicting the outcome [from 0.63 (0.56-0.71) to 0.70 (0.62-0.77), P = 0.02), while traditional assessments did not. The addition of PVP also yielded significant net reclassification improvement [0.46 (0.19-0.74), P < 0.001].

CONCLUSION

The PVP at discharge correlated with prognosis. The results warrant further investigation to evaluate the clinical application of PVP measurement in the care of HF.

TRIAL REGISTRATION NUMBER

UMIN000034279.

Unresolved inflammation during hospitalization is associated with post-discharge institutionalization and mortality in geriatric rehabilitation inpatients: The RESORT cohort

BACKGROUND

Inflammation contributes to adverse health outcomes in community-dwelling populations. Little is known about inflammation in hospitalized older adults and its association with adverse outcomes. This study aimed to evaluate the association of the inflammatory markers C-reactive protein (CRP) and albumin measured during acute and geriatric rehabilitation hospitalization with institutionalization and mortality in geriatric rehabilitation inpatients.

METHODS

Within the REStORing health of acutely unwell adulTs (RESORT) cohort, CRP and albumin were measured as part of usual care during acute and geriatric rehabilitation hospitalization. Inflammatory markers are presented as median, peak (CRP: maximum; albumin: minimum), variation (interquartile range) and direction of change (increased CRP or decreased albumin: positive or negative difference between last measurement and median of preceding measurements). Logistic regression was used to determine the associations between inflammatory markers and institutionalization at three-month and all-cause mortality at three- and twelve-month post-discharge.

RESULTS

Geriatric rehabilitation inpatients (n = 1846) with a median age of 83.3 years (interquartile range 77.6-88.3) and 56.6% of female were included. Increased CRP during geriatric rehabilitation was associated with institutionalization. Higher median, peak and increased levels of CRP during geriatric rehabilitation but not during acute hospitalization were associated with higher mortality. Lower CRP variation during acute hospitalization but higher CRP variation during geriatric rehabilitation was associated with higher mortality. Lower median level of albumin during both hospitalizations were associated with higher mortality.

CONCLUSIONS

Inflammation characterized by lower albumin during acute hospitalization and, higher CRP and lower albumin during geriatric rehabilitation was associated with mortality in geriatric rehabilitation inpatients. Increased CRP during geriatric rehabilitation was associated with institutionalization. Unresolved inflammation in geriatric rehabilitation might indicate ongoing disease activity leading to adverse outcomes.