Impact of delirium on patients hospitalized for myocardial infarction: A propensity score analysis of the National Inpatient Sample

The interrelationship between multiple long-term conditions (MLTC) and delirium: a scoping review

INTRODUCTION

Delirium and multiple long-term conditions (MLTC) share numerous risk factors and have been shown individually to be associated with adverse outcomes following hospitalisation. However, the extent to which these common ageing syndromes have been studied together is unknown. This scoping review aims to summarise our knowledge to date on the interrelationship between MLTC and delirium.

METHODS

Searches including terms for delirium and MLTC in adult human participants were performed in PubMed, EMBASE, Medline, Psycinfo and CINAHL. Descriptive analysis was used to summarise findings, structured according to Synthesis Without Meta-analysis reporting guidelines.

RESULTS

After removing duplicates, 5256 abstracts were screened for eligibility, with 313 full-texts sought along with 17 additional full-texts from references in review articles. In total, 140 met inclusion criteria and were included in the final review. Much of the literature explored MLTC as a risk factor for delirium (n = 125). Fewer studies explored the impact of MLTC on delirium presentation (n = 5), duration (n = 3) or outcomes (n = 6) and no studies explored how MLTC impacts the treatment of delirium or whether having delirium increases risk of developing MLTC. The most frequently used measures of MLTC and delirium were the Charlson Comorbidity Index (n = 98/140) and Confusion Assessment Method (n = 81/140), respectively.

CONCLUSION

Existing literature largely evaluates MLTC as a risk factor for delirium. Major knowledge gaps identified include the impact of MLTC on delirium treatment and the effect of delirium on MLTC trajectories. Current research in this field is limited by significant heterogeneity in defining both MLTC and delirium.

The impact of delirium on clinical and functional outcomes in hospitalized patients with acute coronary syndrome

BACKGROUND

Delirium, which is prevalent in critical care settings, remains underexplored in acute coronary syndrome (ACS) patients in the cardiac intensive care unit (CICU).

AIMS

To investigate the prevalence and clinical significance of delirium in patients with ACS admitted to the CICU.

STUDY DESIGN

A prospective study (n = 106, mean age 74.2 ± 5.7 years) assessed delirium using the confusion assessment method-intensive care unit (CAM-ICU) tool in 21.7% of ACS patients during their CICU stay. Baseline characteristics, geriatric conditions and clinical procedures were compared between delirious and nondelirious patients. The outcomes included in-hospital mortality, 30-day and 6-month mortality, acute adverse events and length of CICU stay and hospital stay (LOS).

RESULTS

Delirious patients who were older and had a higher incidence of coronary artery disease underwent more complex procedures (e.g., pacemaker placement). Multivariate analysis identified central venous catheter insertion, urinary catheterization and benzodiazepine use as independent predictors of delirium. Delirium was correlated with prolonged LOS (p < .001) and increased in-hospital, 30-day and 6-month mortality (p < .001).

CONCLUSIONS

Delirium in ACS patients in the CICU extends hospitalization and increases in-hospital, 30-day and 6-month mortality. Early recognition and targeted interventions are crucial for mitigating adverse outcomes in this high-risk population.

RELEVANCE TO CLINICAL PRACTICE

This study highlights the critical impact of delirium on outcomes in hospitalized patients with ACS in the CICU. Delirium, often overlooked in ACS management, significantly extends hospitalization and increases mortality rates. Nurses and physicians must be vigilant in identifying delirium early, particularly in older ACS patients or those with comorbidities. Recognizing independent predictors such as catheterization and benzodiazepine use allows for targeted interventions to reduce delirium incidence. Integrating routine delirium assessments and preventive strategies into ACS management protocols can improve outcomes, optimize resource utilization and enhance overall patient care in the CICU setting.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Delirium in older adults after percutaneous coronary intervention: Prevalence, risks, and clinical phenotypes

INTRODUCTION

In-hospital delirium is more common among older adults and is associated with increased mortality and adverse health-related outcomes. We aim to establish the contemporary prevalence of delirium among older adults undergoing percutaneous coronary intervention (PCI) and the impact of delirium on in-hospital complications.

METHODS

We identified older adults aged ≥75 years in the National Inpatient Sample who underwent inpatient PCI for any reason from 2016 to 2020 and stratified them into those with and without delirium. The primary outcome was in-hospital mortality, and secondary outcomes encompassed post-procedural complications.

RESULTS

Delirium occurred in 14,130 (2.6 %) hospitalizations in which PCI was performed. Patients who developed delirium were older and had more comorbidities. Patients with in-hospital delirium had higher odds of in-hospital mortality (adjusted odds ratio [aOR] 1.27, p = 0.002) and non-home discharge (aOR 3.17, p < 0.001). Delirium was also associated with higher odds of intracranial hemorrhage (aOR 2.49, p < 0.001), gastrointestinal hemorrhage (aOR 1.25, p = 0.030), need for blood transfusion (aOR 1.52, p < 0.001), acute kidney injury (aOR 1.62, p < 0.001), and fall in hospital (aOR 1.97, p < 0.001).

CONCLUSION

Delirium among older adults undergoing PCI is relatively common and associated with higher odds of in-hospital mortality and adverse events. This highlights the importance of vigilant delirium prevention and early recognition in the peri-procedural setting, especially for older adults.

A Geriatric Approach to Percutaneous Coronary Interventions in Older Adults, Part II: A JACC: Advances Expert Panel

We review a comprehensive risk assessment approach for percutaneous coronary interventions in older adults and highlight the relevance of geriatric syndromes within that broader perspective to optimize patient-centered outcomes in interventional cardiology practice. Reflecting the influence of geriatric principles in older adults undergoing percutaneous coronary interventions, we propose a "geriatric" heart team to incorporate the expertise of geriatric specialists in addition to the traditional heart team members, facilitate uptake of the geriatric risk assessment into the preprocedural risk assessment, and address ways to mitigate these geriatric risks. We also address goals of care in older adults, highlighting common priorities that can impact shared decision making among older patients, as well as frequently encountered pharmacotherapeutic considerations in the older adult population. Finally, we clarify gaps in current knowledge and describe crucial areas for future investigation.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

The Impact of Frailty on Traumatic Brain Injury Outcomes: An Analysis of 691 821 Nationwide Cases

BACKGROUND

Frailty, a decline in physiological reserve, prognosticates poorer outcomes for several neurosurgical conditions. However, the impact of frailty on traumatic brain injury outcomes is not well characterized.

OBJECTIVE

To analyze the association between frailty and traumatic intracranial hemorrhage (tICH) outcomes in a nationwide cohort.

METHODS

We identified all adult admissions for tICH in the National Trauma Data Bank from 2007 to 2017. Frailty was quantified using the validated modified 5-item Frailty Index (mFI-5) metric (range = 0-5), with mFI-5 ≥2 denoting frailty. Analyzed outcomes included in-hospital mortality, favorable discharge disposition, complications, ventilator days, and intensive care unit (ICU) and total length of stay (LOS). Multivariable regression assessed the association between mFI-5 and outcomes, adjusting for patient demographics, hospital characteristics, injury severity, and neurosurgical intervention.

RESULTS

A total of 691 821 tICH admissions were analyzed. The average age was 57.6 years. 18.0% of patients were frail (mFI-5 ≥ 2). Between 2007 and 2017, the prevalence of frailty grew from 7.9% to 21.7%. Frailty was associated with increased odds of mortality (odds ratio [OR] = 1.36, P < .001) and decreased odds of favorable discharge disposition (OR = 0.72, P < .001). Frail patients exhibited an elevated rate of complications (OR = 1.06, P < .001), including unplanned return to the ICU (OR = 1.55, P < .001) and operating room (OR = 1.17, P = .003). Finally, frail patients experienced increased ventilator days (+12%, P < .001), ICU LOS (+11%, P < .001), and total LOS (+13%, P < .001). All associations with death and disposition remained significant after stratification for age, trauma severity, and neurosurgical intervention.

CONCLUSION

For patients with tICH, frailty predicted higher mortality and morbidity, independent of age or injury severity.

External validation and comparison of two delirium prediction models in patients admitted to the cardiac intensive care unit

Background

No data is available on delirium prediction models in the cardiac intensive care unit (CICU), although preexisting delirium prediction models [PREdiction of DELIRium in ICu patients (PRE-DELIRIC) and Early PREdiction of DELIRium in ICu patients (E-PRE-DELIRIC)] were developed and validated based on a population admitted to the general intensive care unit (ICU). Therefore, we externally validated the usefulness of the PRE-DELIRIC and E-PRE-DELIRIC models and compared their predictive performance in patients admitted to the CICU.

Methods

A total of 2,724 patients admitted to the CICU were enrolled between September 2012 and December 2018. Delirium was defined as at least one positive Confusion Assessment Method for the ICU (CAM-ICU) which was screened at least once every 8 h. The PRE-DELIRIC value was calculated within 24 h of CICU admission, and the E-PRE-DELIRIC value was calculated at CICU admission. The predictive performance of the models was evaluated by using the area under the receiver operating characteristic (AUROC) curve, and the calibration slope was assessed graphically by plotting.

Results

Delirium occurred in 677 patients (24.8%) when the patients were assessed thrice daily until 7 days of the CICU stay. The AUROC curve for the prediction of delirium was significantly greater for PRE-DELIRIC values [0.84, 95% confidence interval (CI): 0.82–0.86] than for E-PRE-DELIRIC values (0.79, 95% CI: 0.77–0.80) [z score of −6.24 (p < 0.001)]. Net reclassification improvement for the prediction of delirium increased by 0.27 (95% CI: 0.21–0.32, p < 0.001). Calibration was acceptable in the PRE-DELIRIC model (Hosmer-Lemeshow p = 0.170) but not in the E-PRE-DELIRIC model (Hosmer-Lemeshow p < 0.001).

Conclusion

Although both models have good predictive performance for the development of delirium, even in critically ill cardiac patients, the performance of the PRE-DELIRIC model might be superior to that of the E-PRE-DELIRIC model. Further studies are required to confirm our results and design a specific delirium prediction model for CICU patients.

Demand Ischemia as a Predictor of Mortality in Older Patients With Delirium

Introduction

The impact of demand ischemia on clinical outcomes in patients with delirium remains largely unexplored. This study aims to evaluate the effects of demand ischemia in older patients with delirium on in-hospital mortality and length of stay (LOS) using the largest US inpatient care database, National Inpatient Sample (NIS).

Methods

We obtained data from the year 2010 to 2014 National Inpatient Sample (NIS). We used the International Classification of Diseases-Ninth Edition-Clinical Modification (ICD-9-CM) diagnosis codes to identify all the records with a primary or secondary diagnosis of delirium with or without demand ischemia and other clinical characteristics. We then compared in-hospital mortality and length of stay (LOS) in patients with and without demand ischemia.

Results

We analyzed 232,137 records. Patients with demand ischemia had higher overall in-hospital mortality than those without demand ischemia (28 vs. 12%, p &lt; 0.001). After adjusting for clinical comorbidities and complications, demand ischemia was no longer associated with increased in-hospital mortality (OR: 1.14; 95% CI: 0.96–1.35; p = 0.141). However, further analysis with the exclusion of critically ill patients with non-cardiogenic shock or mechanical ventilation showed a significant association of demand ischemia with increased in-hospital mortality (adjusted OR: 1.39; 95% CI: 1.13–1.71; p = 0.002). Among non-critically ill survivors, patients with demand ischemia had a longer median LOS [4, (3–7) days] than those without demand ischemia [4, (2–6) days] (p &lt; 0.001). However, the difference was not statistically significant after adjustment for covariates.

Conclusion/Relevance

Demand ischemia did not affect mortality in critically sick patients. In non-critically ill patients, however, demand ischemia was significantly associated with increased in-hospital mortality, likely due to the severity of the underlying acute illness. Measures aimed at mitigating risk factors that contribute to delirium and/or demand ischemia need to be explored.

Impact of delirium on mortality in patients hospitalized for heart failure

OBJECTIVE

Heart Failure (HF) is one of the leading causes of hospitalization in the United States accounting for ≈800,000 hospital discharges and $11 billion in annual costs. Delirium occurs in approximately 30% of elderly hospitalized patients and its incidence is significantly higher among those admitted to the critical care units. Despite this, there has been limited exploration of the clinical and economic impact of delirium in patients hospitalized with acute HF. We hypothesized that delirium in HF is associated with excess mortality and hospital costs.

METHODS

We queried the 2001-2014 Nationwide Inpatient Sample to identify hospitalizations that included a primary discharge diagnosis of HF (ICD-9-CM: 428.xx) and stratified them by presence or absence of delirium (ICD-9-CM: 239.0, 290.41, 293.0, 293.1, 348.31). Differences in in-hospital mortality, length of stay (LOS), and hospital costs were assessed using propensity-score matched cohorts.

RESULTS

Major predictors of delirium included advanced age, Caucasian race, underlying dementia or psychiatric diagnoses, higher Elixhauser Comorbidity Index, renal failure, cardiogenic shock, and coronary artery bypass surgery. In the propensity-score matched analysis of 76,411 hospitalization with delirium compared to 76,612 without delirium, in-hospital mortality (odds ratio: 1.67, 95% CI: 1.51-1.77), LOS (rate ratio [RR]: 1.47, 95% CI: 1.45-1.51), and hospital costs (RR: 1.44, 95% CI: 1.41-1.48) were all statistically higher in the presence of delirium (all p < 0.001).

CONCLUSION

In patients hospitalized with HF, delirium is an independent predictor of increased in-hospital mortality, longer LOS, and excess hospital costs despite adjustment for baseline characteristics.

Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Brain tumor craniotomy outcomes for dual-eligible medicare and medicaid patients: a 10-year nationwide analysis

INTRODUCTION

Dual-eligible (DE) patients, simultaneous Medicare and Medicaid beneficiaries, have been shown to have poorer clinical outcomes while incurring higher resource utilization. However, neurosurgical oncology outcomes for DE patients are poorly characterized. Accordingly, we examined the impact of DE status on perioperative outcomes following glioma, meningioma, or metastasis resection.

METHODS

We identified all admissions undergoing a craniotomy for glioma, meningioma, or metastasis resection in the National Inpatient Sample from 2002 to 2011. Assessed outcomes included inpatient mortality, complications, discharge disposition, length of stay (LOS), and hospital costs. Multivariable regression adjusting for 13 patient, severity, and hospital characteristics assessed the association between DE status and outcomes, relative to four reference insurance groups (Medicare-only, Medicaid-only, private insurance, self-pay).

RESULTS

Of 195,725 total admissions analyzed, 3.0% were dual-eligible beneficiaries (n = 5933). DEs were younger than Medicare admissions (P < 0.001) but older than Medicaid, private, and self-pay admissions (P < 0.001). Relative to other insurance groups, DEs also exhibited higher severity of illness, risk of mortality, and Charlson Comorbidity Index scores as well as treatment at low-volume hospitals (all P < 0.001). DEs had lower mortality than self-pay admissions (odds ratio [OR] 0.47, P = 0.017). Compared to Medicare, Medicaid, private, and self-pay admissions, DEs had lower rates of discharge disposition (OR 0.53, 0.50, 0.34, and 0.27, respectively, all P < 0.001). DEs also had higher complications (OR 1.23 and 1.20, respectively, both P < 0.05) and LOS (β = 1.06 and 1.13, respectively, both P < 0.01) than Medicare and private insurance beneficiaries. Differences in discharge disposition remained significant for all three tumor subtypes, but only glioma DE admissions continued to exhibit higher complications and LOS.

CONCLUSIONS

DEs undergoing definitive craniotomy for brain tumor had higher rates of unfavorable discharge disposition compared to all other insurance groups and, especially for glioma surgery, had higher inpatient complication rates and LOS. Practice and policy reforms to improve outcomes for this vulnerable clinical population are warranted.

Incidence and predictors of delirium on the intensive care unit after acute myocardial infarction, insight from a retrospective registry

OBJECTIVES

This study aimed to identify the incidence and potential risk factors for delirium after myocardial infarction (MI).

BACKGROUND

Delirium is a common complication on intensive care units. Data on incidence and especially on predictors of delirium in patients after acute MI are rare.

METHODS

In this retrospective study, all patients hospitalized for MI treated with coronary angiography in an university hospital in 2018 were included and analyzed. Onset of delirium within the first 5 days after MI was attributed to the MI and was defined by a Nursing Delirium screening scale (NuDesc) ≥2. This score is taken as part of daily care in every patient on intensive care unit three times a day by especially trained nurses.

RESULTS

A total of 624 patients with MI (age 68.5 ± 13.2 years, ST-elevation MI 41.6%, hospital mortality 3.2%) were included in the study. Delirium was detected in 10.9% of all patients. In the subgroup of patients with a stay on the intensive care unit (ICU) for more than 24 hr (n = 229), delirium was detected in 29.7%. Hospital and ICU stay were significantly longer in patients with delirium (p < .001). Delirium was an independent predictor of prolonged ICU-stay. Independent predictors of delirium were age, dementia, alcohol abuse, cardiac arrest, hypotension, and leucocytosis. Infarct size or presentation with ST-elevation were not associated with incidence of delirium.

CONCLUSION

Development of delirium is frequent after acute MI and prolongs hospitalization. Incidence of delirium is associated with clinical instability, preexisting comorbidity, and age rather than MI type or size.

Outcomes after clipping and endovascular coiling for aneurysmal subarachnoid hemorrhage among dual-eligible beneficiaries

Dual-eligible beneficiaries, individuals with both Medicare and Medicaid coverage, represent a high-cost and vulnerable population; however, literature regarding outcomes is sparse. We characterized outcomes in dual-eligible beneficiaries treated for aneurysmal subarachnoid hemorrhage (aSAH) compared to Medicare only, Medicaid only, private insurance, and self-pay. A 10-year cross-sectional study of the National Inpatient Sample was conducted. Adult aSAH emergency admissions treated by neurosurgical clipping or endovascular coiling were included. Multivariable regression was used to adjust for confounders. A total of 57,666 patients met inclusion criteria. Dual-eligibles comprised 2.8% of admissions and were on average younger (62.4 years) than Medicare (70.0 years), older than all other groups, and had higher mean National Inpatient Sample-Subarachnoid Hemorrhage Severity Scores than all other groups (p ≤ 0.001). Among patients treated by clipping, dual-eligibles were less often discharged to home compared to Medicare (adjusted odds ratio (aOR) = 0.51, 95% CI = 0.30-0.87, p < 0.05) and all other insurance groups, p < 0.01. Likewise, those who received coiling were less often discharged to home compared to Medicaid (aOR = 0.41, 95% CI = 0.23-0.73), private (aOR = 0.42, 95% CI = 0.23-0.76) and self-pay patients (aOR = 0.24, 95% CI = 0.12-0.46). They also had increased odds of poor National Inpatient Sample-Subarachnoid Hemorrhage Outcome Measures compared to Medicaid, private, and self-pay patients, all p < 0.05. There were no differences in inpatient mortality or total complications. In conclusion, dual-eligible patients had higher aSAH severity scores, less often discharged home, and among patients who received coiling, dual-eligibles had increased odds of poor outcome. Dual-eligible patients with aSAH represent a vulnerable population that may benefit from targeted clinical and public policy initiatives.

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease.

RESULTS

Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Delirium is an important predictor of mortality in elderly patients with ST-elevation myocardial infarction: insight from National Inpatient Sample database

OBJECTIVE

Delirium is a frequently encountered clinical condition in hospitalized patients and is known to be associated with poor outcomes. This study aims to assess the impacts of delirium in elderly patients undergoing percutaneous coronary intervention (PCI) following ST-elevation myocardial infarction (STEMI).

METHODS

We queried the National Inpatient Samples from 2010 to 2014 to identify all patients aged 65 and older, and admitted with a primary diagnosis of STEMI undergoing PCI by using the International Classification of Diseases-Ninth Edition-Clinical Modification diagnosis codes. The patients with delirium from this cohort were further evaluated. Multivariate regression model with SPSS Statistics 25.0 (IBM Corp., Armonk, New York, USA) was used to study the association between delirium and clinical outcomes including in-hospital mortality and length of stay (LOS).

RESULTS

Out of weighted 42 980 patients aged ≥65 years with STEMI and PCI, delirium was present in 774 patients, accounting for 1.8% of this cohort. These patients were found to be older and had more underlying co-morbidities, compared to those without delirium [Median Charlson score 2 (1; 3) vs. 0 (0; 2); P < 0.001]. In-hospital mortality in STEMI patients with delirium was significantly higher than those without delirium [42.7% vs. 7.6%; unadjusted odds ratio (OR) 9.07; 95% confidence interval (CI) 6.55-12.57; P < 0.001; adjusted OR 1.86; 95% CI 1.13-3.04; P = 0.014].

CONCLUSION

Older age and comorbidities are known predisposing factors for delirium, which is in turn associated with higher in-hospital mortality and increased LOS in elderly patients with STEMI who undergo PCI. This study underscores the role of delirium and implicates the importance of further studies in recognition and targeted care of delirium.

Hospitalizations for Community-Acquired and Non-Ventilator-Associated Hospital-Acquired Pneumonia in Spain: Influence of the Presence of Bronchiectasis. A Retrospective Database Study

To examine and compare in-hospital mortality (IHM) of community-acquired pneumonia (CAP) and non-ventilator hospital-acquired pneumonia (NV-HAP) among patients with or without bronchiectasis (BQ) using propensity score matching. A retrospective observational epidemiological study using the Spanish Hospital Discharge Records, 2016–17. We identified 257,455 admissions with CAP (3.97% with BQ) and 17,069 with NV-HAP (2.07% with BQ). Patients with CAP and BQ had less comorbidity, lower IHM, and a longer mean length of hospital stay (p < 0.001) than non-BQ patients. They had a higher number of isolated microorganisms, including Pseudomonas aeruginosa. In patients with BQ and NV-HAP, no differences were observed with respect to comorbidity, in-hospital mortality (IHM), or mean length of stay. P. aeruginosa was more frequent (p = 0.028). IHM for CAP and NV-HAP with BQ was 7.89% and 20.06%, respectively. The factors associated with IHM in CAP with BQ were age, comorbidity, pressure ulcers, surgery, dialysis, and invasive ventilation, whereas in NV-HAP with BQ, the determinants were age, metastatic cancer, need for dialysis, and invasive ventilation. Patients with CAP and BQ have less comorbidity, lower IHM and a longer mean length of hospital stay than non-BQ patients. However, they had a higher number of isolated microorganisms, including Pseudomonas aeruginosa. In patients with BQ and NV-HAP, no differences were observed with respect to comorbidity, in-hospital mortality, or mean length of stay, but they had a greater frequency of infection by P. aeruginosa than non-BQ patients. Predictors of IHM for both types of pneumonia among BQ patients included dialysis and invasive ventilation.

Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals.

RESULTS

Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Initiative for Prevention and Early Identification of Delirium in Medical-Surgical Units: Lessons Learned in the Past Five Years

BACKGROUND

Delirium is an acute change in mental status affecting 10%-64% of hospitalized patients, and may be preventable in 30%-40% of cases. In October 2013, a task force for delirium prevention and early identification in medical-surgical units was formed at our hospital. We studied whether our standardized protocol prevented delirium among high-risk patients.

METHODS

We studied 105,455 patient encounters between November 2013 and January 2018. Since November 2013, there has been ongoing education to decrease deliriogenic medications use. Since 2014, nurses screen all patients for presence or absence of delirium using the Confusion Assessment Method (CAM). Since 2015, nurses additionally screen all patients for risk of delirium. In 2015, a physician order set for delirium was created. Nonpharmacological measures are implemented for high-risk or CAM positive patients.

RESULTS

98.8% of patient encounters had CAM screening, and 99.6% had delirium risk screening. Since 2013, odds of opiate use decreased by 5.0% per year (P < .001), and odds of benzodiazepine use decreased by 8.0% per year (P < .001). There was no change in anticholinergic use. In the adjusted analysis, since 2015, odds of delirium decreased by 25.3% per year among high-risk patients (n = 21,465; P < .001). Among high-risk patients or those diagnosed with delirium (n = 22,121), estimated length of stay decreased by 0.13 days per year (P < .001), odds of inpatient mortality decreased by 16.0% per year (P = .011), and odds of discharge to a nursing home decreased by 17.1% per year (P < .001).

CONCLUSION

With high clinician engagement and simplified workflows, our delirium initiative has shown sustained results.

Characteristics of Hospitalized Patients Screening Positive for Delirium

BACKGROUND

Delirium in the hospitals leads to worse outcomes for patients. There were no previous studies that characterize patients with delirium from multiple hospital locations.

OBJECTIVE

To describe patient characteristics screening positive for delirium and identify any correlations with hospital location and medication use.

DESIGN, SETTINGS, PATIENTS

Retrospective chart review of 227 hospitalized patients from a large, academic, tertiary referral, 2-campus health system. Patients were ≥18 years old and had delirium for at least ≥24 hours. Validated delirium screening tools were utilized.

MEASUREMENTS

Patients' demographics, inpatient stay information, delirium episodes characteristics, drugs, and palliative and psychiatry teams' involvement.

RESULTS

Most patients were older with a mean age of 64.1 years. The most common primary diagnoses were infection, cardiac, and pulmonary. Average length of delirium was 7.2 days (standard deviation [SD] = 8.2), and average length of stay (LOS) was 18.7 days (median = 10.5, SD = 35.1, 95% confidence interval = 14.1-23). Thirty-day readmission rate was 24.8% (65/262 hospitalizations); 12.8% of patients died in the hospital (29/227). Around one-third of hospitalizations had involvement of palliative care, palliative psychiatry, or general psychiatry team. There was a decrease in the number of medications administered 24 hours after the first recording of delirium compared to the immediate preceding 48 hours. Those hospitalizations where delirium first occurred in the intensive care unit (ICU) did have a longer LOS (average = 22.9, SD = 45.7) than those where delirium first occurred outside the ICU (average = 14.8, SD = 20.5). Patients were likely to have received an opioid within 48 hours in 51% of hospitalizations and to have received benzodiazepines in 16% of hospitalizations.

CONCLUSION

In our study, we found that delirium significantly impacted length of delirium episode, number of episodes of delirium, length of hospital admission, and mortality. The population most sensitive to the impacts of delirium were elderly patients.

[Dynamics of brain CD68+ and stabilin-1+ macrophage infiltration in patients with myocardial infarction]

Te aim of the study was to evaluate the temporal dynamics of brain CD68+ and stabilin-1+ macrophage infltration in patients with fatal myocardial infarction (MI) type 1.

MATERIALS AND METHODS

Te study included 31 patients with fatal MI type I. Te control group comprised 10 patients of 18-40 age group who died from injuries incompatible with life. Patients with MI were divided into two groups. Group 1 comprised patients who died during the frst 72 hours of MI, group 2 comprised patients who died on days 4‒28. Macrophage infltration in the brain was assessed by immunohistochemical analysis. We used CD68 as a marker for the cells of the macrophage lineage and stabilin-1 as an M2-like macrophage biomarker.

RESULTS

In group 1 the number of brain CD68+ macrophages was signifcantly higher than in the control group. In group 2 the intensity of brain CD68+ cells infltration was lower than in group 1 and higher than in the control group. Tere was a small amount of stabilin-1+ macrophages in the brain of healthy people, as well as of patients who died from MI. Tere were no signifcant differences in the number of stabilin-1+ cells between group 1 and group 2. Correlation analysis revealed the presence of positive correlation between the number of CD68 + macrophages in the infarct, peri-infarct, and non-infarct areas of the myocardium and the number of CD68+ macrophages in the brain in patients with MI. Tere were not correlations between the number of CD68 + and stabilin-1+ cells and the presence of diabetes mellitus, history of stroke, history of MI, and pre-infarction angina.

CONCLUSION

Te number of brain CD68+ macrophages signifcantly increased during the frst three days of MI. Te number of brain stabilin-1+ macrophages did not increase and did not differ from the control values. We observed a positive correlation between the number of CD68+ macrophages in the brain and myocardium.

Incremental cost and length of stay associated with postprocedure delirium in transcatheter and surgical aortic valve replacement patients in the United States

OBJECTIVES

To explore the impact of post-procedure delirium on resource utilization following transcatheter and surgical aortic valve replacement (TAVR and SAVR, respectively).

BACKGROUND

Postprocedure delirium is associated with worse long-term survival after TAVR and SAVR. However, its effect on resource utilization has been understudied.

METHODS

Using the 2015 Medicare Provider Analysis and Review File (MedPAR), we retrospectively analyzed elderly (≥80 years) Medicare beneficiaries receiving either SAVR or endovascular TAVR in the United States. Multivariate regression models estimating hospitalization cost and length of stay (LoS) were adjusted for patient demographics, comorbidities, and nondelirium complications.

RESULTS

A total of 21,088 discharges were available for analysis (12,114 TAVR and 8,974 SAVR). TAVR patients were older (87 ± 3.8 vs. 84 ± 2.7 years; P < 0.001) with a higher comorbidity burden (Charlson index 3.0 ± 1.8 vs. 2.1 ± 1.7; P < 0.0001). Despite this, fewer TAVR patients (1.6%) experienced postoperative delirium during the index hospitalization compared to surgical patients (3.6%; P < 0.0001). Delirium was associated with a 4.16 [3.51-4.81] day longer hospital LoS and $15,592 ($12,849-$18,334) higher incremental hospitalization cost. When stratified by treatment approach, the adjusted incremental cost of delirium was +$13,862 ($9,431-$18,292) with TAVR and +$16,656 ($13,177-$20,136) with SAVR with an additional hospital LoS of +3.39 (2.34-4.43) days and +4.63 (3.81-5.45) days for TAVR and SAVR, respectively.

CONCLUSIONS

Postprocedure delirium is associated with significantly increased hospitalization costs and LoS following AVR. TAVR was associated with a lower postoperative delirium rate compared to SAVR. Post-TAVR delirium may be associated with less resource consumption than post-SAVR delirium.

Impact of delirium on patients hospitalized for myocardial infarction: A propensity score analysis of the National Inpatient Sample

BACKGROUND

Delirium is associated with worse outcomes in critically ill patients. In the subset of patients with myocardial infarction (MI), the impact on clinical outcomes of delirium is not as well elucidated.

HYPOTHESIS

Delirium is associated with increased mortality in patients hospitalized for MI.

METHODS

The study used data from the National Inpatient Sample 2012 to 2014, Healthcare Cost and Utilization Project. We included discharges associated with the primary diagnosis of MI using the relevant International Classification of Diseases, Ninth Revision, Clinical Modification codes. The outcome was inpatient mortality between the delirium group and propensity score-matched controls without delirium.

RESULTS

The study included 1 330 020 weighted discharges with MI as the principal diagnosis. Within this cohort, 18 685 discharges (1.4%) had delirium. Delirium was associated with older age, lower rates of percutaneous coronary intervention, and increased comorbid conditions. The delirium group had higher mortality (10.5% vs 2.6%, P < 0.001). Propensity score-matching analysis showed increased mortality in the delirium group (10.5% vs 7.6%, relative risk: 1.39 [95% confidence interval: 1.2-1.6, P < 0.001) using nearest neighbor 1:1 matching.

CONCLUSIONS

In individuals with MI, delirium was associated with increased inpatient mortality.