Preventable Readmissions and Predictors of Readmission After Subarachnoid Hemorrhage

Association of dementia with clinical and financial outcomes following lobectomy for lung cancer

Objective

The number of adults with dementia is rising worldwide. Although dementia has been linked with inferior outcomes following various operations, this phenomenon has not been fully elucidated among patients undergoing elective lung resection. Using a national cohort, we evaluated the association of dementia with clinical and financial outcomes following lobectomy for cancer.

Methods

Adults undergoing lobectomy for lung cancer were identified within the 2010-2020 Nationwide Readmissions Database. Patients with a comorbid diagnosis of dementia were considered the Dementia cohort (others: Non-Dementia). Multivariable regressions were developed to evaluate the association between dementia and key outcomes.

Results

Of ∼314,436 patients, 2863 (0.9%) comprised the Dementia cohort. Compared with Non-Dementia, the Dementia cohort was older (75 vs 68 years, P < .001), less commonly female (49.4 vs 53.9%, P = .01), and had a greater burden of comorbid conditions. After adjustment, dementia remained associated with similar odds of in-hospital mortality (adjusted odds ratio [aOR], 0.86; 95% confidence interval [CI], 0.54-1.38) but greater likelihood of pneumonia (aOR, 1.31; CI, 1.04-1.65) and infectious complications (aOR, 1.37; CI, 1.01-1.87). Further, dementia was associated with longer length of stay (β +0.96 days; CI, 0.51-1.41), but no difference in hospitalization cost (β $1528; CI, -92 to 3148).

Conclusions

Patients with dementia faced similar odds of mortality, but greater complications and resource use following lobectomy for lung cancer. Novel interventions are needed to improve care coordination and develop standardized recovery pathways for this growing cohort.

The survival and outcome of older patients with primary aneurysmal subarachnoid haemorrhage: a 2-year follow-up, multi-centre, observational study

BACKGROUND AND PURPOSE

The management of older aneurysmal subarachnoid haemorrhage (aSAH) cases is a clinical challenge. This study aimed to analyse the survival and functional outcomes in older aSAH patients (age ≥ 70 years) to provide evidence for making treatment decisions for such patients.

METHODS

We performed a 2-year follow-up analysis of the Chinese Multi-Centre Cerebral Aneurysm Database for older patients suffering from aSAH from 2017 to 2020. A survival analysis was used to investigate the mean survival and hazard ratios for death. Binary logarithmic regression was performed to investigate the odds ratio for independent survival and dependent survival.

RESULTS

A total of 1,136 consecutive older patients with aSAH were assessed in this study, and 944 patients (83.1%) were followed up. The overall mean survival was 37.79 ± 1.04 months. A total of 380 (40.25%) patients died within 2 years after aSAH. In survival analysis, the predictors of mortality were older age, intracerebral haemorrhage (ICH) history, Hunt-Hess (H-H) grade, World Federation of Neurosurgical Societies (WFNS) grade and operative treatment decreased the risk of mortality compared to conservative treatment. In binary logarithmic regression, the predictors of dependent survival were hypertension, diabetes, WFNS grade.

CONCLUSIONS

The risk for 2-year mortality after aSAH increases markedly with older age, ICH history, H-H grade and WFNS grade. Risk factors for 2-year dependent survival were associated with hypertension, diabetes and WFNS grade in older patients with aSAH. Operative treatment markedly decreased mortality but did not significantly decrease the morbidity of dependent survival compared to conservative treatment.

Socioeconomic Drivers of Outcomes After Aneurysmal Subarachnoid Hemorrhage Treatment at a Large Comprehensive Stroke Center

BACKGROUND

Sparse data exist on socioeconomic disparities among patients treated for aneurysmal subarachnoid hemorrhage (aSAH). The authors analyzed factors possibly influencing patient outcomes, including having a primary care physician (PCP) at admission, family/caregiver support, a foreign language barrier, primary payer status, and race.

METHODS

Socioeconomic data were abstracted for patients treated endovascularly or microsurgically for aSAH at a single center (January 1, 2014-July 31, 2019). Binary logistic regression analyses were used to identify independent predictors of an unfavorable outcome (modified Rankin Scale [mRS] score >2) and for predictive modeling.

RESULTS

Among 422 patients, the median (interquartile range) follow-up was 2 (1-23) months. Lack of caregiver support was the only socioeconomic factor associated with an unfavorable outcome at discharge. Independent predictors of mRS score >2 at last follow-up included baseline markers of disease severity (P ≤ 0.03), nonwhite race (OR, 1.69; P = 0.047), lack of caregiver support (OR, 5.55; P = 0.007), and lack of a PCP (OR, 1.96; P = 0.007). Adjusting for follow-up mediated the effects of race and PCP, although caregiver support remained significant and PCP was associated with a lower mortality risk independent of follow-up (OR, 0.51; P = 0.047). Predischarge socioeconomic factors, alongside disease severity, predicted a follow-up mRS score >2 with excellent discrimination (area under the receiver operating curve, 0.81; 95% CI, 0.77-0.86).

CONCLUSIONS

At a large, urban, comprehensive stroke center, patients with PCPs, caregiver support, and white race had significantly better long-term outcomes after aSAH. These results reflect disparities in access to healthcare after aSAH for vulnerable populations with extensive lifetime needs.

Spontaneous subarachnoid haemorrhage

Subarachnoid haemorrhage (SAH) is the third most common subtype of stroke. Incidence has decreased over past decades, possibly in part related to lifestyle changes such as smoking cessation and management of hypertension. Approximately a quarter of patients with SAH die before hospital admission; overall outcomes are improved in those admitted to hospital, but with elevated risk of long-term neuropsychiatric sequelae such as depression. The disease continues to have a major public health impact as the mean age of onset is in the mid-fifties, leading to many years of reduced quality of life. The clinical presentation varies, but severe, sudden onset of headache is the most common symptom, variably associated with meningismus, transient or prolonged unconsciousness, and focal neurological deficits including cranial nerve palsies and paresis. Diagnosis is made by CT scan of the head possibly followed by lumbar puncture. Aneurysms are commonly the underlying vascular cause of spontaneous SAH and are diagnosed by angiography. Emergent therapeutic interventions are focused on decreasing the risk of rebleeding (ie, preventing hypertension and correcting coagulopathies) and, most crucially, early aneurysm treatment using coil embolisation or clipping. Management of the disease is best delivered in specialised intensive care units and high-volume centres by a multidisciplinary team. Increasingly, early brain injury presenting as global cerebral oedema is recognised as a potential treatment target but, currently, disease management is largely focused on addressing secondary complications such as hydrocephalus, delayed cerebral ischaemia related to microvascular dysfunction and large vessel vasospasm, and medical complications such as stunned myocardium and hospital acquired infections.

Catheter-Associated Urinary Tract Infection in Neurological Intensive Care Units: A Narrative Review

Catheter-associated urinary tract infection (CAUTI) is among the most common types of healthcare-associated infection (HAI), which is associated with poor outcomes and prolonged hospitalization in critically ill patients. Previous studies have mentioned that patients admitted to neurological ICUs are at higher risk of CAUTI compared to patients in other ICU settings. This review paper aims to review studies published during the last decade that evaluated the incidence, risk factors, causative pathogens, and preventive strategies and treatment in neuro-critically ill patients.

Causes and Predictors of 30-Day Readmission in Elderly Patients With Delirium

Objective

To study 30-day readmission (30-DR) rate and predictors for readmission among elderly patients with delirium.

Methods

This was a retrospective observational cohort study of patients aged ≥65 years with discharge diagnosis of delirium identified from the Nationwide Readmission Database using common International Classification of Diseases, Ninth Revision, and Clinical Modification codes linked to delirium diagnosis. Multivariate logistic regression analyses were performed adjusting for stratified cluster design to identify patient/system-specific factors associated with 30-DR.

Results

Overall, the 30-DR rate was 17% (7,140 of 42,655 weighted index admissions). The common causes of readmission were systemic diseases (43%), infections (27%), and neurologic diseases (18%). Compared with initial hospitalization, readmission costs were higher ($11,442 vs $10,350, p < 0.0001) with a longer length of stay (6.6 vs 6.1 days, p < 0.0001). Independent predictors of readmission included discharge against medical advice (odds ratio [OR] 1.8, p < 0.0034), length of stay (OR 1.3, p < 0.0001), and chronic systemic diseases (anemia, OR 2.4, p < 0.0001, chronic renal failure OR 1.4, p < 0.0001, congestive heart failure OR 1.3, p < 0.0001, lung disease OR 1.2, p < 0.0004, and liver disease OR 1.2, p < 0.03). Private insurance was associated with a lower risk of readmission (OR 0.78, p < 0.02).

Conclusions

The main predictors of readmission were chronic systemic diseases and discharge against medical advice. These data may help design directed clinical care pathways to optimize medical management and postdischarge care to reduce readmission rates.

Trends in Hospital-to-Hospital Transfers for Aneurysmal Subarachnoid Hemorrhage: A Single-Institution Experience from 2006 to 2017

BACKGROUND

Despite evidence to support that aneurysmal subarachnoid hemorrhage (aSAH) is best treated at high-volume centers, it is unknown whether clinical practice reflects these findings.

METHODS

We analyzed patients transferred to our high-volume center for aSAH between 2006 and 2017. Data collection included number of transfers, demographic data, Hunt and Hess score, Fisher score, comorbid conditions, length of stay (LOS), discharge disposition, in-hospital mortality rates, insurance status, and hospital charges. Comparisons were made across 3 time periods (2006-2009, 2010-2013, and 2014-2017) and included subgroup analyses by treatment modality (endovascular vs. microsurgical).

RESULTS

aSAH transfers declined from 213 in 2006-2009 to 160 in 2014-2017. While there was no change in presenting Hunt and Hess scores, the percentage of modified Fisher scores of 4 increased from 2006-2009 to 2014-2017. Transferred patients had a greater comorbidity index and decreased predicted 10-year survival. Despite this, the average LOS decreased. In-hospital mortality decreased from 2006-2009 to 2014-2017, especially in the endovascular cohort. The proportions of patients who were either self-pay or Medicaid did not change. Overall inflation-adjusted hospital charges decreased from $76,975 in 2006-2009 to $59,870 in 2014-2017.

CONCLUSIONS

Between 2006 and 2017, transfers to our center for aSAH declined. However, transferred patients had greater levels of complexity, more comorbidities, and were at greater risk for vasospasm based on their presenting Fisher score. Nonetheless, average LOS, in-hospital mortality, and cost declined. These changing referral patterns have implications for outcome data, quality reporting, resident education, and developing systems of care to optimize outcomes.

Readmissions and Mortality During the First Year After Stroke-Data From a Population-Based Incidence Study

Background: After a first-ever-in-a-lifetime stroke (FELS), hospital readmissions are common and associated with increased mortality and morbidity of stroke survivors, thus, raising the overall health burden of stroke. Population-based stroke studies on hospital readmissions are scarce despite it being an important healthcare service quality indicator. We evaluated unplanned readmissions or death during the first year after a FELS and their potential factors, based on a Portuguese community register.

Methods: Data were retrieved from a population-based prospective register undertaken in Northern Portugal (ACIN2) in 2009–2011. Retrospective information about unplanned hospital readmissions and case fatality within 1 year after FELS index hospitalization (FELS-IH) was evaluated. Readmission/death-free survival 1 year after discharge was estimated using the Kaplan–Meyer method. Independent risk factors for readmission/death were identified using Cox proportional hazard models.

Results: Unplanned readmission/death within 1 year occurred in 120 (31.6%) of the 389 hospitalized FELS survivors. In 31.2% and 33.5% of the cases, it occurred after ischemic stroke or intracerebral hemorrhage, respectively. Infections and cerebrovascular and cardiovascular diseases were the main causes of readmission. Of the readmissions, 65.3% and 52.5% were potentially avoidable or stroke related, respectively. The main cause of potentially avoidable readmissions was the continuation/recurrence of the event responsible for the initial admission or a closely related condition (71.2%). Male sex, age, previous and post-stroke functional status, and FELS-IH length of stay were independent factors of readmission/death within 1 year.

Conclusions: Almost one-third of FELS survivors were readmitted/dead 1 year after their FELS-IH. This outcome persisted after the first months after stroke hospitalization in all stroke subtypes. More than half of readmissions were considered potentially avoidable or stroke related.

Endovascular and Surgical Treatment Is Predictive of Readmission Risk After Aneurysmal Subarachnoid Hemorrhage

BACKGROUND

Aneurysmal subarachnoid hemorrhage (aSAH) is a debilitating disease process accounting for 5% of strokes. Although improvements in care have reduced the case-fatality rates, patients have an increased risk of neurological and medical complications after discharge. Additionally, the readmission rates have been increasingly used as a metric for patient care quality.

METHODS

In the present study, we reviewed the medical records of 206 patients who had been treated for aSAH at the University of Virginia from 2011 to 2018 to identify the causes and predictors of readmission.

RESULTS

The all-cause readmission rate was 9.8%, 15.3%, and 21.3% within 30, 60, and 180 days, respectively. The readmission rate for neurologic causes was 7.7%, 12.6%, and 18.0% within 30, 60, and 180 days, respectively. The neurologic causes of readmission included aneurysm retreatment, cranioplasty, a fall, hydrocephalus, stroke symptoms, and syncope. Surgical treatment (odds ratio [OR], 4.11-6.30) and endovascular treatment (OR, 3.79-8.33) of vasospasm were associated with an increased risk of all-cause readmission. Endovascular aneurysm treatment (OR, 0.22) was associated with a decreased risk of all-cause readmission. The average interval to the first follow-up appointment at our institution was 55.3 ± 63.3 days. Of the patients who had been readmitted from the emergency room, 65% had not had follow-up contact with physicians at our institution until their readmission.

CONCLUSIONS

To the best of our knowledge, the present study is the first to have examined the readmission rates for subarachnoid hemorrhage >90 days after treatment. Our results have suggested that the readmission rates >90 days after treatment could still be predicted by the hospital and treatment course during admission and that follow-up appointments with patients earlier in the clinic could identify those patients with a greater risk of readmission.

Trends in hospital readmissions in Multiple Sclerosis patients between 2009 and 2015

BACKGROUND

Readmission rate is an important healthcare quality metric and remains a problem in Multiple Sclerosis (MS) patients, nonetheless information about this issue is scarce. We present the first study to estimate hospital readmissions in a MS hospital-based European cohort.

METHODS

Retrospective cohort study of patients with at least one hospitalization with a primary discharge of MS from August 1, 2009 and July 31, 2015. The primary outcome was hospitalization within 30 days post-discharge (30-DR). The secondary outcomes included length of stay during index and readmission, total hospital readmissions during the study period, predictors and causes of readmission.

RESULTS

Forty-four (41.5%) patients had a hospital readmission during the six years of this study, 11.3% of them 30-DR, mainly due to infections (58.5%). The two most common comorbidities in these patients were neurogenic bladder (47.7%) and ischemic heart disease (18.1%). Progressive MS subtype was the main predictor of 30-DR, even after adjustment for therapy (OR: 6.29; p = 0.016), with an area under the curve of 0.73.

CONCLUSION

Progressive MS subtypes and "second-line drugs" carry a higher risk of hospital readmission soon after discharge. The impact and cost-effectiveness of strategies to lower readmission rates in MS should be the focus of upcoming studies.

Impact of Complications and Comorbidities on the Intensive Care Length of Stay after Aneurysmal Subarachnoid Haemorrhage

In this observational study, we analysed a cohort of 164 subarachnoid haemorrhage survivors (until discharge from intensive care) with the aim to detect factors that influence the length of stay (LOS) in intensive care with multiple linear regression methods. Moreover, binary logistic regression methods were used to examine whether the time in intensive care is a predictor of outcome after 1 year. The clinical 1-year outcome was measured prospectively in a 12-month follow-up by telephone interview and categorised by the modified Rankin Scale (mRS). Patients who died during their stay in intensive care were excluded. Complications like pneumonia (β = 5.11; 95% CI = 1.75–8.46; p = 0.0031), sepsis (β = 9.54; 95% CI = 3.27–15.82; p = 0.0031), hydrocephalus (β = 4.63; 95% CI = 1.82–7.45; p = 0.0014), and delayed cerebral ischemia (DCI) (β = 3.38; 95% CI = 0.19–6.56; p = 0.038) were critical factors depending the LOS in intensive care as well as decompressive craniectomy (β = 5.02; 95% CI = 1.35–8.70; p = 0.0077). All analysed comorbidities such as hypertension, diabetes, hypothyroidism, cholesterinemia, and smoking history had no significant impact on the LOS in intensive care. LOS in intensive care (OR = 1.09; 95% CI = 1.03–1.15; p = 0.0023) as well as WFNS grade (OR = 3.72; 95% CI = 2.23–6.21; p < 0.0001) and age (OR = 1.06; 95% CI = 1.02–1.10; p = 0.0061) were significant factors that had an impact on the outcome after 1 year. Complications in intensive care but not comorbidities are associated with higher LOS in intensive care. LOS in intensive care is a modest but significant predictor of outcomes after subarachnoid haemorrhage.

Nonindex Readmission After Ruptured Brain Aneurysm Treatment Is Associated with Higher Morbidity and Repeat Readmission

BACKGROUND

Aneurysmal subarachnoid hemorrhage (aSAH) requires complex multidisciplinary care. After initial treatment (index hospital), readmission to a different hospital (nonindex) can compromise quality of care, resulting in increased morbidity. We aimed to evaluate factors associated with nonindex readmission and evaluate association of nonindex hospital readmission on outcomes in patients with ruptured aneurysm.

METHODS

Readmissions within 90 days after aSAH treatment were identified in the 2010-2014 Nationwide Readmissions Database. Multivariable logistic regression identified patient and hospital characteristics associated with nonindex readmission. Separate multivariable models determined increased morbidity or risk of second readmission for nonindex readmissions.

RESULTS

A total of 9254 patients who underwent treatment of ruptured aneurysms from 2010 to 2014 were identified. Of these, 1985 (21.5%) were readmitted within 90 days. Three hundred and fifty-five of these readmissions (17.9%) occurred to nonindex hospitals. Patients that were discharged to a skilled nursing or other facility (odds ratio [OR], 1.70; 95% confidence interval [CI], 1.27-2.28]) had higher odds of nonindex readmission, whereas patients with private insurance were associated with lower odds of nonindex readmission (OR, 0.65; 95% CI, 0.46-0.92). Patients readmitted to a nonindex (vs. index) hospital were associated with increased likelihood of major complications (OR, 1.71; 95% CI, 1.18-2.48) and second readmissions (OR, 1.51; 95% CI, 1.17-1.96).

CONCLUSIONS

After treatment of a ruptured cerebral aneurysm, 17.9% of readmissions occurred at a nonindex hospital. These patients were at increased risk for major complications or subsequent readmissions, which may be because of care fragmentation. Interventions aimed at improving continuity of care may reduce higher morbidity associated with nonindex readmission.

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.