Predictors of 30-day readmission after aneurysmal subarachnoid hemorrhage: a case-control study

Predictors of hospital length of stay and long-term care facility placement in aneurysmal subarachnoid hemorrhage

Background

Aneurysmal subarachnoid hemorrhage (aSAH) is frequently associated with complications, extended hospital length of stay (LOS) and high health care related costs. We sought to determine predictors for hospital LOS and discharge disposition to a long-term care facility (LTCF) in aSAH patients.

Methods

We performed a retrospective study of a prospectively collected cohort of consecutive patients with aSAH admitted to an academic referral center from 2016 to 2021. Multiple linear regression was performed to identify predictors for hospital LOS. We then created a 10-point scoring system to predict discharge disposition to a LTCF.

Results

In a cohort of 318 patients with confirmed aSAH, mean age was 57 years (SD 13.7), 61% were female and 70% were white. Hospital LOS was longer for survivors (median 19 days, IQR 14-25) than for non-survivors (median 5 days, IQR 2-8; p < 0.001). Main predictors for longer LOS for this cohort were ventriculoperitoneal shunt (VPS) requirement (p < 0.001), delayed cerebral ischemia (p = 0.026), and pneumonia (p = 0.014). The strongest predictor for LTCF disposition was age older than 60 years (OR 1.14, 95% CI 1.07-1.21; p < 0.001). LTCF score had high accuracy in predicting discharge disposition to a LTCF (area under the curve [AUC] 0.83; 95% CI 0.75-0.91). Forty-one percent of patients who were discharged to a LTCF had significant functional recovery at 3 months post-discharge.

Conclusions

VPS requirement and aSAH related complications were associated with longer hospital LOS compared to other factors. LTCF score has high accuracy in predicting discharge disposition to a LTCF.

Readmission into intensive care unit in patients with aneurysmal subarachnoid hemorrhage

Objective

Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating cerebrovascular event; patients are routinely admitted to the intensive care unit (ICU) for initial management. Because complications may be delayed, unplanned ICU readmissions can occur. Therefore, in this study we evaluate the rate of and factors associated with readmission after aSAH and identify if readmission is associated with poor clinical outcomes.

Methods

We retrospectively reviewed the medical records of all patients receiving surgical or endovascular treatment for aSAH and admitted to the ICU between January 2008 and December 2019. We categorized patients by readmission and analyzed their clinical parameters.

Results

Of the 345 patients who transferred to ward-level care after an initial ICU stay (Group 2), 27 (7.3%) were readmitted to the ICU (Group 1). History of hypertension (HTN), initial Glasgow Coma Scale (GCS) score, modified Fisher grade, and vasospasm therapy during first ICU stay were significantly different between the groups. The most common reason for readmission was delayed cerebral ischemia (DCI; 70.3%; OR 5.545; 95% CI 1.25-24.52; p=0.024). Comorbid HTN (OR 5.311; 95% CI 1.75-16.12; p=0.03) and vasospasm therapy during first ICU stay (OR 7.234; 95% CI 2.41-21.7; p＜0.01) also were associated with readmission. Readmitted patients had longer hospital stay and lower GCS scores at discharge (p＜0.01).

Conclusions

DCI was the most common cause of ICU readmission in patients with aSAH. Readmission may indicate clinical deterioration, and patients who are at a high risk for DCI should be monitored to prevent readmission.

Preventable Readmissions and Predictors of Readmission After Subarachnoid Hemorrhage

OBJECTIVE

To estimate rates of all-cause and potentially preventable readmissions up to 90 days after discharge for aneurysmal subarachnoid hemorrhage (SAH) and medical comorbidities associated with readmissions BACKGROUND: Readmission rate is a common metric linked to compensation and used as a proxy to quality of care. Prior studies in SAH have reported 30-day readmission rates of 7-17% with a higher readmission risk among those with the higher SAH severity, ≥ 3 comorbidities, and non-home discharge. Intermediate-term rates, up to 90-days, and the proportion of these readmissions that are potentially preventable are unknown. Furthermore, the specific medical comorbidities associated with readmissions are unknown.

METHODS

Index SAH admissions were identified from the 2013 Nationwide Readmissions Database. All-cause readmissions were defined as any readmission during the 30-, 60-, and 90-day post-discharge period. Potentially preventable readmissions were identified using Prevention Quality Indicators developed by the US Agency for Healthcare Research and Quality. Unadjusted and adjusted Poisson models were used to identify factors associated with increased readmission rates.

RESULTS

Out of 9987 index admissions for SAH, 7949 (79%) survived to discharge. The percentage of 30-, 60-, and 90-day all-cause readmissions were 7.8, 16.6, and 26%, respectively. Up to 14% of readmissions in the first 30 days were considered potentially preventable and acute conditions (dehydration, bacterial pneumonia, and urinary tract infections) accounted for over half, whereas acute cerebrovascular disease was the most common cause for neurological return. In multivariable analysis, significant predictors of a higher readmission rate included diabetes (rate ratio [RR] 1.09, 95% confidence interval [CI] 1.03-1.15), congestive heart failure (RR 1.09, 1.003-1.18), and renal impairment (RR 1.35, 1.13-1.61). Only discharge home was associated with a lower readmission rate (RR 0.89, 0.85-0.93).

CONCLUSIONS

SAH has a 30-day readmission rate of 7.8% which continues to rise into the intermediate-term. A low but constant proportion of readmissions are potentially preventable. Several chronic medical comorbidities were associated with readmissions. Prospective studies are warranted to clarify causal relationships.

Thirty-day readmissions in aneurysmal subarachnoid hemorrhage: A good metric for hospital quality?

Thirty-day readmission rates has been increasingly used by clinicians, hospital administrators, and policy makers as a metric for the quality of care. However, the 30-day readmission rates may be affected by other factors intrinsic to the patient and may not be a good measure of the quality of care provided by the hospital. In this review, we examined the quality of the 30-day readmissions rate as a quality metric for the quality of care provided to patients with aneurysmal subarachnoid hemorrhage (SAH). It has been shown that in this patient population, 30-day readmission rate primarily captures values, such as the number of comorbidities, disease severity, and discharge dispositions. There is little association between SAH 30-day readmission rates and mortality. However, 30-day readmissions may be reduced by increasing early discharge surveillance, providing readmission reduction programs to patients discharged to medical facilities as well as to home, and identifying patients most at risk for readmission.

Thirty-day readmission rate as a surrogate marker for quality of care in neurosurgical patients: a single-center Canadian experience

OBJECTIVE

Readmission to the hospital within 30 days of discharge is used as a surrogate marker for quality and value of care in the United States (US) healthcare system. Concern exists regarding the value of 30-day readmission as a quality of care metric in neurosurgical patients. Few studies have assessed 30-day readmission rates in neurosurgical patients outside the US. The authors performed a retrospective review of all adult neurosurgical patients admitted to a single Canadian neurosurgical academic center and who were discharged to home to assess for the all-cause 30-day readmission rate, unplanned 30-day readmission rate, and avoidable 30-day readmission rate.

METHODS

A retrospective review was performed assessing 30-day readmission rates after discharge to home in all neurosurgical patients admitted to a single academic neurosurgical center from January 1, 2011, to December 31, 2011. The primary outcomes included rates of all-cause, unplanned, and avoidable readmissions within 30 days of discharge. Secondary outcomes included factors associated with unplanned and avoidable 30-day readmissions.

RESULTS

A total of 184 of 950 patients (19.4%) were readmitted to the hospital within 30 days of discharge. One-hundred three patients (10.8%) were readmitted for an unplanned reason and 81 (8.5%) were readmitted for a planned or rescheduled operation. Only 19 readmissions (10%) were for a potentially avoidable reason. Univariate analysis identified factors associated with readmission for a complication or persistent/worsening symptom, including age (p = 0.009), length of stay (p = 0.007), general neurosurgery diagnosis (p < 0.001), cranial pathology (p < 0.001), intensive care unit (ICU) admission (p < 0.001), number of initial admission operations (p = 0.01), and shunt procedures (p < 0.001). Multivariate analysis identified predictive factors of readmission, including diagnosis (p = 0.002, OR 2.4, 95% CI 1.4-5.3), cranial pathology (p = 0.002, OR 2.7, 95% CI 1.4-5.3), ICU admission (p = 0.004, OR 2.4, 95% CI 1.3-4.2), and number of first admission operations (p = 0.01, OR 0.51, 95% CI 0.3-0.87). Univariate analysis performed to identify factors associated with potentially avoidable readmissions included length of stay (p = 0.03), diagnosis (p < 0.001), cranial pathology (p = 0.02), and shunt procedures (p < 0.001). Multivariate analysis identified only shunt procedures as a predictive factor for avoidable readmission (p = 0.02, OR 5.6, 95% CI 1.4-22.8).

CONCLUSIONS

Almost one-fifth of neurosurgical patients were readmitted within 30 days of discharge. However, only about half of these patients were admitted for an unplanned reason, and only 10% of all readmissions were potentially avoidable. This study demonstrates unique challenges encountered in a publicly funded healthcare setting and supports the growing literature suggesting 30-day readmission rates may serve as an inappropriate quality of care metric in neurosurgical patients. Potentially avoidable readmissions can be predicted, and further research assessing predictors of avoidable readmissions is warranted.

Advanced Age and Post-Acute Care Outcomes After Subarachnoid Hemorrhage

Background

Older patients with aneurysmal subarachnoid hemorrhage (aSAH) are unique, and determinants of post–acute care outcomes are not well elucidated. The primary objective was to identify hospital characteristics associated with 30‐day readmission and mortality rates after hospital discharge among older patients with aSAH.

Methods and Results

This cohort study used Medicare patients ≥65 years discharged from US hospitals from January 1, 2008, to November 30, 2010, after aSAH. Medicare data were linked to American Hospital Association data to describe characteristics of hospitals treating these patients. Using multivariable logistic regression to adjust for patient characteristics, hospital factors associated with (1) hospital readmission and (2) mortality within 30 days after discharge were identified. A total of 5515 patients ≥65 years underwent surgical repair for aSAH in 431 hospitals. Readmission rate was 17%, and 8.5% of patients died within 30 days of discharge. In multivariable analyses, patients treated in hospitals with lower annualized aSAH volumes were more likely to be readmitted 30 days after discharge (lowest versus highest quintile, 1–2 versus 16–30 cases; adjusted odds ratio, 2.10; 95% confidence interval, 1.56–2.84). Patients treated in hospitals with lower annualized aSAH volumes (lowest versus highest quintile: adjusted odds ratio, 1.52; 95% confidence interval, 1.05–2.19) had a greater likelihood of dying 30 days after discharge.

Conclusions

Older patients with aSAH discharged from hospitals treating lower volumes of such cases are at greater risk of readmission and dying within 30 days. These findings may guide clinician referrals, practice guidelines, and regulatory policies influencing which hospitals should care for older patients with aSAH.

Readmission After Aneurysmal Subarachnoid Hemorrhage: A Nationwide Readmission Database Analysis

BACKGROUND AND PURPOSE

The goal of this nationwide study is to evaluate the suitability of readmission as a quality indicator in the aneurysmal subarachnoid hemorrhage (SAH) population.

METHODS

Patients with aneurysmal SAH were extracted from the Nationwide Readmission Database (2013). Multivariable Cox proportional hazard regression was used to evaluate predictors of a 30-day readmission, and multivariable linear regression was used to analyze the association of hospital readmission rates with hospital mortality rates. Predictors screened included patient demographics, comorbidities, severity of SAH, complications from the SAH hospitalization, and hospital characteristics.

RESULTS

The 30-day readmission rate was 10.2% (n=346) among the 3387 patients evaluated, and the most common reasons for readmission were neurological, hydrocephalus, infectious, and venous thromboembolic complications. Greater number of comorbidities, increased severity of SAH, and discharge disposition other than to home were independent predictors of readmission (P≤0.03). Although hydrocephalus during the SAH hospitalization was associated with readmission for the same diagnosis, other readmissions were not associated with having sustained the same complication during the SAH hospitalization. Hospital mortality rate was inversely associated with hospital SAH volume (P=0.03) but not significantly associated with hospital readmission rate; hospital SAH volume was also not associated with SAH readmissions.

CONCLUSIONS

In this national analysis, readmission was primarily attributable to new medical complications in patients with greater comorbidities and severity of SAH rather than exacerbation of complications from the SAH hospitalization. Additionally, hospital readmission rates did not correlate with other established quality metrics. Therefore, readmission may be a suboptimal quality indicator in the SAH population.

D-dimer may predict poor outcomes in patients with aneurysmal subarachnoid hemorrhage: a retrospective study

Serum biomarkers may play a reliable role in predicting the outcomes of patients with aneurysmal subarachnoid hemorrhage. This study retrospectively analyzed the relationship between serum biomarkers on admission and outcomes in patients with aneurysmal subarachnoid hemorrhage. We recruited 146 patients with aneurysmal subarachnoid hemorrhage who were treated in Renmin Hospital of Wuhan University of China between 1 May 2014 and 30 March 2016. There were 57 males and 89 females included and average age of included patients was 57.03 years old. Serum samples were taken immediately on admission (within 48 hours after initial hemorrhage) and the levels of serum biomarkers were detected. Baseline information, complications, and outcomes at 6 months were recorded. Univariate and multivariate logistic regression analyses were used to explore the relationship between biomarkers and clinical outcomes. Receiver operating characteristic curves were obtained to investigate the possibility of the biomarkers predicting prognosis. Of the 146 patients, 102 patients achieved good outcomes and 44 patients had poor outcomes. Univariate and multivariate analyses showed that high World Federation of Neurosurgical Societies grade, high serum D-dimer levels, and high neurological complications were significantly associated with poor outcomes. Receiver operating characteristic curves verified that D-dimer levels were associated with poor outcomes. D-dimer levels strongly correlated with neurological complications. In conclusion, we suggest that D-dimer levels are a good independent prognostic factor for poor outcomes in patients with aneurysmal subarachnoid hemorrhage.