Discharge disposition of older patients undergoing trans-catheter aortic valve replacement and its impact on survival

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.

Estimated prevalence of frailty and prefrailty in patients undergoing coronary artery or valvular surgeries/procedures: A systematic review and proportional meta-analysis

BACKGROUND

The aging population has led to an increasing number of older patients undergoing cardiac surgeries/procedures. Frailty and prefrailty have emerged as important prognostic indicators among these patients. This proportional meta-analysis estimated the prevalence of frailty and prefrailty among patients undergoing cardiac surgery.

METHODS

We searched seven electronic databases for observational studies that used validated measure(s) of frailty and reported prevalence data on frailty and/or prefrailty in older patients undergoing coronary artery or valvular surgeries or transcatheter procedures. Meta-analyses were performed using a random-effects model.

RESULTS

One hundred and one articles involving 626,863 patients were included. The pooled prevalence rates of frailty and prefrailty were 28% (95% confidence interval [CI]: 23%-33%) and 40% (95% CI: 31%-50%), respectively, for patients scheduled for open-heart surgeries and 40% (95% CI: 36%-45%) and 43% (95% CI: 34%-53%), respectively, for patients undergoing transcatheter procedures. Frailty measured using a multidimensional approach identified a higher proportion of frail patients when compared with measures solely focused on physical frailty. Older age, female sex, and lower body mass index and hemoglobin concentrations were significantly associated with higher frailty prevalence. Moreover, countries with higher gross domestic product spent on healthcare exhibited a higher frailty prevalence.

CONCLUSION

Frailty represents a considerable health challenge among patients undergoing cardiac surgeries/procedures. Routine screening for frailty should be considered during perioperative care planning.

Impact of cardiac rehabilitation on pre- and post-operative transcatheter aortic valve replacement prognoses

Transcatheter aortic valve replacement (TAVR) is a relatively new treatment method for aortic stenosis (AS) and has been demonstrated to be suitable for patients with varying risk levels. Indeed, among high-risk patients, TAVR outcomes are comparable to, or even better, than that of the traditional surgical aortic valve replacement (SAVR) method. TAVR outcomes, with respect to post-surgical functional capacity and quality of life, have also been found to be improved, especially when combined with cardiac rehabilitation (CR). CR is a multidisciplinary system, which integrates cardiology with other medical disciplines, such as sports, nutritional, mind-body, and behavioral medicine. It entails the development of appropriate medication, exercise, and diet prescriptions, along with providing psychological support, ensuring the cessation of smoking, and developing risk factor management strategies for cardiovascular disease patients. However, even with CR being able to improve TAVR outcomes and reduce post-surgical mortality rates, it still has largely been underutilized in clinical settings. This article reviews the usage of CR during both pre-and postoperative periods for valvular diseases, and the factors involved in influencing subsequent patient prognoses, thereby providing a direction for subsequent research and clinical applications.

Impact of Long-Term Steroid Use on the Disposition of Patients Undergoing Transcatheter Aortic Valve Replacement: A Retrospective Nationwide Sample Analysis

Background Chronic steroid use is debilitating to health, but, in some cases, it is necessary. We examined the effect of chronic steroid use on the discharge disposition of people undergoing transcatheter aortic valve replacement (TAVR). Methods We queried the National Inpatient Sample Database (NIS) from 2016 to 2019. We identified patients with current chronic steroid use with the International Classification of Diseases for the Tenth (ICD-10) code Z7952. Furthermore, we used the ICD-10 procedure codes for TAVR 02RF3. Outcomes were the length of hospitalization (LOS), Charlson Comorbidity Index (CCI), disposition, in-hospital mortality, and total hospital charges (THC).  Results Between 2016 and 2019, we identified 44,200 TAVR hospitalizations, and 382,497 were on current long-term steroid therapy. Of these, 934 had current chronic steroid use and underwent TAVR (STEROID) with a mean age of 78 (SD=8.4). About 50% were female, 89% were Whites, 3.7% were Blacks, 4.2% were Hispanics, and 1.3% were Asians. Disposition was 'home,' 'home with home health' (HWHH), 'skilled nursing home' (SNF), 'short-term inpatient therapy' (SIT), 'discharged against medical advice' (AMA), and 'died.'  A total of 602 (65.5%) were discharged home, 206 ( 22%) were discharged to HWHH, 109 (11.7%) to SNF, and 12 (1.28%) died. In the SIT and AMA groups, there were only three and two patients, respectively, p=0.23. The group that underwent TAVR and was not on chronic steroid therapy (NOSTEROID) had a mean age of 79 (SD=8.5), with 28731 (66.4%) being discharged home, 8399 (19.4%) to HWHH, 5319 (12.3%) to SNF, and 617 (1.43%) died p=0.17.  Comparing the STEROID vs. NONSTEROID group, according to the CCI, the STEROID group scored higher than the NOSTEROID group; 3.5 (SD=2) vs. 3 (SD=2) p=0.0001, while for LOS, it was 3.7 days (SD=4.3) vs. 4.1 days (SD=5.3), p=0.28, and the THC was $203,213 (SD=$110,476) vs. $215,858 (SD=$138,540), p=0.15. Conclusion The comorbidity burden of individuals on long-term steroids undergoing TAVR was slightly higher than those not on steroids undergoing TAVR. Despite this, there was no statistically significant difference in their hospital outcomes following TAVR with respect to dispositions.

Impact of early hospital discharge on clinical outcomes after transcatheter aortic valve implantation

AIMS

Early discharge after transcatheter aortic valve implantation (TAVI) may potentially impact post-procedural safety of the patient. The study aim was to compare safety of TAVI in patients planned for fast track hospital stay with patients planned for standard hospital stay.

METHODS AND RESULTS

All-comers patients undergoing transfemoral TAVI between 2011 and 2017 were allocated to two matched groups depending whether the procedure was performed before or after transition from standard to fast track course. Data on vital status and hospitalizations were obtained through national registries. Three hundred and nineteen matched pairs were eligible for analysis. The median length of post-procedural stay was 3 days (IQR: 2-4) for patients in the fast track group compared to 6 days (IQR: 4-8) in the standard approach group (p < .0001). There was no difference in all-cause mortality between groups at 30-day (1.3% vs. 1.9%, p = .52) or 90-day follow-up (2.9% vs. 4.1%, p = .42). There was no difference in the risk of new permanent pacemaker implantation (PPI) in pacemaker naïve patients between groups at 30-day (15.8% vs. 21.2%, p = .16) or 90-day follow-up (15.8% vs. 21.9%, p = .12). There was no difference in the rate of rehospitalization between groups between discharge and 90-day follow-up (2.09 per patient-year vs. 2.09 per patient-year, p = .99).

CONCLUSIONS

Early discharge in an all-comers population undergoing transfemoral TAVI is safe with regards to all-cause mortality, need for PPI, and rehospitalization.

Risk Factors for Nonhome Discharge After Esophagectomy for Neoplastic Disease

BACKGROUND

Esophagectomies are known to be technically challenging operations that create significant physiologic changes. These patients often require assisted care postoperatively that necessitates a nonhome discharge. The purpose of this study was to assess factors associated with nonhome discharge after esophagectomy for neoplastic disease.

METHODS

The 2016 to 2017 American College of Surgeons National Surgical Quality Improvement Program Esophagectomy database was queried to identify patients who underwent esophagectomy for a neoplasm. Patients were excluded if they died within 30 days of their operation, the index operation was considered emergent, or had missing data for the variables of interest. Multivariable analysis was performed to identify which factors were predictive of nonhome discharge.

RESULTS

One thousand seven patients were included. Of those, 121 (12.0%) had a nonhome discharge. Multivariable analysis showed that the following factors were associated with nonhome discharge: Modified Charlson comorbidity index (adjusted odds ratio [aOR], 2.04; 95% confidence interval [CI], 1.49-2.86), partially dependent preoperative functional status (aOR, 13.18; 95% CI, 1.07-315.67), urinary tract infection (aOR, 5.25; 95% CI, 1.32-20.41), and length of stay (aOR, 1.12; 95% CI, 1.08-1.16).

CONCLUSIONS

We identified various factors associated with nonhome discharge. Early identification of patients who are at risk for nonhome discharge is important for early discharge planning, which may decrease nonmedical delays and healthcare costs.