Association of Loneliness With Change in Physical and Emotional Health of Older Adults During the COVID-19 Shutdown.

OBJECTIVES: To examine factors influencing loneliness and the effect of loneliness on physical and emotional health, in the context of the COVID-19 pandemic. DESIGN: Prospective, observational cohort. SETTING: Community-dwelling participants. PARTICIPANTS: Older adults (n = 238) enrolled in a longitudinal study. MEASUREMENTS: Interviews were completed July-December 2020. Loneliness was measured with the UCLA 3-item loneliness scale. Data including age, marriage, education, cognitive functioning, functional impairment, vision or hearing impairment, depression, anxiety, medical comorbidity, social network size, technology use, and activity engagement were collected. Health outcomes included self-rated health, and physical and mental composites from the 12-item Short Form Survey. Physical function was measured by a PROMIS-scaled composite score. RESULTS: Thirty-nine (16.4%) participants reported loneliness. Vulnerability factors for loneliness included age (RR = 1.08, 95% CI 1.02-1.14); impairment with instrumental activities of daily living (RR = 2.08, 95% CI 1.14-3.80); vision impairment (RR = 2.09, 95% CI 1.10-3.97); depression (RR = 1.34, 95% CI 1.25-1.43); and anxiety (RR = 1.92, 95% CI 1.55-2.39). Significant resilience factors included high cognitive functioning (RR = 0.88, 95% CI 0.83-0.94); large social network size (RR = 0.92, 95% CI 0.88-0.96); technology use (RR = 0.81, 95% CI 0.73-0.90); and social and physical activity engagement (RR = 0.91, 95% CI 0.85-0.98). Interaction analyses showed that larger social network size moderated the effect of loneliness on physical function (protective interaction effect, RR = 0.64, 95% CI 0.15-1.13, p <.01), and activity engagement moderated the effect of loneliness on mental health (protective interaction effect, RR = 0.65, 95% CI 0.25-1.05, p <.001). CONCLUSIONS: Resilience factors may mitigate the adverse health outcomes associated with loneliness. Interventions to enhance resilience may help to diminish the detrimental effects of loneliness and hold great importance for vulnerable older adults.

Identifying Delirium in Persons With Moderate or Severe Dementia: Review of Challenges and an Illustrative Approach.

Delirium and dementia are common causes of cognitive impairment among older adults, which often coexist. Delirium is associated with poor clinical outcomes, and is more frequent and more severe in patients with dementia. Identifying delirium in the presence of dementia, also described as delirium superimposed on dementia (DSD), is particularly challenging, as symptoms of delirium such as inattention, cognitive dysfunction, and altered level of consciousness, are also features of dementia. Because DSD is associated with poorer clinical outcomes than dementia alone, detecting delirium is important for reducing morbidity and mortality in this population. We review a number of delirium screening instruments that have shown promise for use in DSD, including the 4-DSD, combined Six Item Cognitive Impairment Test (6-CIT) and 4 'A's Test (4AT), Confusion Assessment Method (CAM), and the combined UB2 and 3D-CAM (UB-CAM). Each has advantages and disadvantages. We then describe the operationalization of a CAM-based approach in a current ECT in dementia project as an example of modifying an existing instrument for patients with moderate to severe dementia. Ultimately, any instrument modified will need to be validated against a standard clinical reference, in order to fully establish its sensitivity and specificity in the moderate to severe dementia population. Future work is greatly needed to advance the challenging area of accurate identification of delirium in moderate or severe dementia.

Categorizing national caregiver recommendations to support family caregivers and address unmet needs.

BACKGROUND: Recognizing family caregivers as vital providers of long-term assistance to loved ones with chronic illness, several national organizations developed recommendations to improve support for family caregivers. PURPOSE: This article categorizes these recommendations to advance family-centered nursing practice, develop health policies, and advocate for family caregiver support. METHODS: Six reports of caregiver recommendations published in the United States from 2016 to 2021 were analyzed using thematic analysis. FINDINGS: The 108 recommendations were organized into five categories: policy; caregiver assessment and support; health professional practices; public awareness; advance care planning. DISCUSSION: Ensuring economic security, establishing a national data collection strategy, addressing caregivers' diverse needs, improving access to health care and support services, and increasing public awareness were highlighted. CONCLUSION: The recommendations provide a roadmap for nurses at all levels of practice to advocate for a national agenda to develop, fund, and implement inclusive health care policies and interventions to address unmet caregiver needs and maximize support.

Machine Learning to Develop and Internally Validate a Predictive Model for Post-operative Delirium in a Prospective, Observational Clinical Cohort Study of Older Surgical Patients.

BACKGROUND: Our objective was to assess the performance of machine learning methods to predict post-operative delirium using a prospective clinical cohort. METHODS: We analyzed data from an observational cohort study of 560 older adults (≥ 70 years) without dementia undergoing major elective non-cardiac surgery. Post-operative delirium was determined by the Confusion Assessment Method supplemented by a medical chart review (N = 134, 24%). Five machine learning algorithms and a standard stepwise logistic regression model were developed in a training sample (80% of participants) and evaluated in the remaining hold-out testing sample. We evaluated three overlapping feature sets, restricted to variables that are readily available or minimally burdensome to collect in clinical settings, including interview and medical record data. A large feature set included 71 potential predictors. A smaller set of 18 features was selected by an expert panel using a consensus process, and this smaller feature set was considered with and without a measure of pre-operative mental status. RESULTS: The area under the receiver operating characteristic curve (AUC) was higher in the large feature set conditions (range of AUC, 0.62-0.71 across algorithms) versus the selected feature set conditions (AUC range, 0.53-0.57). The restricted feature set with mental status had intermediate AUC values (range, 0.53-0.68). In the full feature set condition, algorithms such as gradient boosting, cross-validated logistic regression, and neural network (AUC = 0.71, 95% CI 0.58-0.83) were comparable with a model developed using traditional stepwise logistic regression (AUC = 0.69, 95% CI 0.57-0.82). Calibration for all models and feature sets was poor. CONCLUSIONS: We developed machine learning prediction models for post-operative delirium that performed better than chance and are comparable with traditional stepwise logistic regression. Delirium proved to be a phenotype that was difficult to predict with appreciable accuracy.

Predictors of Caregiver Burden in Delirium: Patient and Caregiver Factors.

The current study examined the association of patient factors, patient/caregiver relationships, and living arrangements with caregiver burden due to delirium. The sample included a subset (N = 207) of hospitalized medical and surgical patients (aged >70 years) enrolled in the Better Assessment of Illness Study and their care-givers. The majority of caregivers were female (57%) and married (43%), and 47% reported living with the patient. Delirium occurred in 22% of the sample, and delirium severity, pre-existing cognitive impairment, and impairment of any activities of daily living (ADL) were associated with higher caregiver burden. However, only the ADL impairment of needing assistance with transfers was independently significantly associated with higher burden (p < 0.01). Child, child-in-law, and other relatives living with or apart from the patient reported significantly higher caregiver burden compared to spouse/partners (p < 0.01), indicating caregiver relationship and living arrangement are associated with burden. Future studies should examine additional factors contributing to delirium burden. [Journal of Gerontological Nursing, 47(9), 32-39.].

New Delirium Severity Indicators: Generation and Internal Validation in the Better Assessment of Illness (BASIL) Study.

BACKGROUND: Delirium is a common and preventable geriatric syndrome. Moving beyond the binary classification of delirium present/absent, delirium severity represents a potentially important outcome for evaluating preventive and treatment interventions and tracking the course of patients. Although several delirium severity assessment tools currently exist, most have been developed in the absence of advanced measurement methodology and have not been evaluated with rigorous validation studies. OBJECTIVE: We aimed to report our development of new delirium severity items and the results of item reduction and selection activities guided by psychometric analysis of data derived from a field study. METHODS: Building on our literature review of delirium instruments and expert panel process to identify domains of delirium severity, we adapted items from existing delirium severity instruments and generated new items. We then fielded these items among a sample of 352 older hospitalized patients. RESULTS: We used an expert panel process and psychometric data analysis techniques to narrow a set of 303 potential items to 17 items for use in a new delirium severity instrument. The 17-item set demonstrated good internal validity and favorable psychometric characteristics relative to comparator instruments, including the Confusion Assessment Method - Severity (CAM-S) score, the Delirium Rating Scale Revised 98, and the Memorial Delirium Assessment Scale. CONCLUSION: We more fully conceptualized delirium severity and identified characteristics of an ideal delirium severity instrument. These characteristics include an instrument that is relatively quick to administer, is easy to use by raters with minimal training, and provides a severity rating with good content validity, high internal consistency reliability, and broad domain coverage across delirium symptoms. We anticipate these characteristics to be represented in the subsequent development of our final delirium severity instrument.

Clinicians' Perceptions of a Modified Hospital Elder Life Program for Delirium Prevention During COVID-19.

The Hospital Elder Life Program (HELP) is a multicomponent delirium prevention program targeting delirium risk factors of cognitive impairment, vision and hearing impairment, malnutrition and dehydration, immobility, sleep deprivation, and medications. We created a modified and extended version of the program, HELP-ME, deployable under COVID-19 conditions, for example, patient isolation and restricted staff and volunteer roles. We explored perceptions of interdisciplinary clinicians who implemented HELP-ME to inform its development and testing. This was a qualitative descriptive study of HELP-ME among older adults on medical and surgical services during the COVID-19 pandemic. Participants included HELP-ME staff at 4 pilot sites across the United States who implemented HELP-ME.We held five 1-hour video focus groups (5-16 participants/group) to review specific intervention protocols and the overall program. We asked participants open-endedly about positive and challenging aspects of protocol implementation. Groups were recorded and transcribed. We used directed content analysis to analyze data. Participants identified general, technology-related, and protocol-specific positive and challenging aspects of the program. Overarching themes included the need for enhanced customization and standardization of protocols, need for increased volunteer staffing, digital access to family members, patient technological literacy and comfort, variation in the feasibility of remote delivery among intervention protocols, and preference for a hybrid program model. Participants offered related recommendations. Participants felt that HELP-ME was successfully implemented, with some modifications needed to address limitations of remote implementation. A hybrid model combining remote and in-person aspects was recommended as the preferred option.

Psychometric Properties of a Delirium Severity Score for Older Adults and Association With Hospital and Posthospital Outcomes.

Importance: The ability to rate delirium severity is key to providing optimal care for older adults, and such ratings would allow clinicians to target patients with severe delirium and monitor response to treatment, recovery time, and prognosis; assess nursing burden and staffing needs; and, ultimately, provide more appropriate patient-centered care. Current delirium severity measures have been limited in their content, gradations, and measurement characteristics. Objective: To examine the internal consistency, reliability, and validity for clinical outcomes of the DEL-S delirium severity score, a measure of delirium severity that was developed using advanced psychometric approaches, analogous to those of the Patient-Reported Outcomes Measurement Information System initiative. Design, Setting, and Participants: This prospective cohort study was conducted at a large academic medical center in Boston, Massachusetts. Adults aged 70 years or older who were admitted or transferred to medical or surgical services as either emergency or elective admissions were enrolled between October 20, 2015, and March 15, 2017, and were monitored for 1 year. Data analysis was performed from June 2020 to August 2021. Exposures: Delirium severity, measured by scores on the delirium severity score short-form (SF; 6 items, scored 0-13, with higher scores indicating more severe delirium) and long-form (LF; 17 items, scored 0-21), considered continuously and grouped into 5 categories. Main Outcomes and Measures: The primary outcomes were in-hospital outcomes, including length of stay and hospital costs, and posthospital (30, 90, and 365 days) outcomes, including death, health care costs, and rehospitalization. Results: The 352 participants had a median (IQR) age of 79.7 (74.6-85.5) years, 204 (58.0%) were women, and they were highly educated (median [IQR] duration of education, 14 [7-20] years). Patients in the highest delirium severity score SF group (scores 6-9) had a longer length of stay (13.3 vs 6.9 days; P for trend < .001), greater in-hospital costs ($57 700 vs $34 200), greater cumulative health care costs ($168 700 vs $106 500; P for trend = .01), and increased mortality at 1 year (50% vs 17%; P for trend = .02) compared with patients in the lowest delirium severity score SF group (score 0). Similar trends and significant findings were demonstrated for the delirium severity score LF. Conclusions and Relevance: These findings suggest that the delirium severity score provides an approach for measuring delirium severity that is associated with adverse clinical outcomes in a direct exposure-response association and that the delirium severity score may help advance patient-centered care for delirium.

Detecting Delirium: A Systematic Review of Identification Instruments for Non-ICU Settings.

BACKGROUND/OBJECTIVES: Delirium manifests clinically in varying ways across settings. More than 40 instruments currently exist for characterizing the different manifestations of delirium. We evaluated all delirium identification instruments according to their psychometric properties and frequency of citation in published research. DESIGN: We conducted the systematic review by searching Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, Excerpta Medica Database (Embase), PsycINFO, PubMed, and Web of Science from January 1, 1974, to January 31, 2020, with the keywords "delirium" and "instruments," along with their known synonyms. We selected only systematic reviews, meta-analyses, or narrative literature reviews including multiple delirium identification instruments. MEASUREMENTS: Two reviewers assessed the eligibility of articles and extracted data on all potential delirium identification instruments. Using the original publication on each instrument, the psychometric properties were examined using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) framework. RESULTS: Of 2,542 articles identified, 75 met eligibility criteria, yielding 30 different delirium identification instruments. A count of citations was determined using Scopus for the original publication for each instrument. Each instrument underwent methodological quality review of psychometric properties using COSMIN definitions. An expert panel categorized key domains for delirium identification based on criteria from the Diagnostic and Statistical Manual of Mental Disorders (DSM)-III through DSM-5. Four instruments were notable for having at least two of three of the following: citation count of 200 or more, strong validation methodology in their original publication, and fulfillment of DSM-5 criteria. These were, alphabetically, Confusion Assessment Method, Delirium Observation Screening Scale, Delirium Rating Scale-Revised-98, and Memorial Delirium Assessment Scale. CONCLUSION: Four commonly used and well-validated instruments can be recommended for clinical and research use. An important area for future investigation is to harmonize these measures to compare and combine studies on delirium.

Development and internal validation of a predictive model of cognitive decline 36 months following elective surgery.

INTRODUCTION: Our goal was to determine if features of surgical patients, easily obtained from the medical chart or brief interview, could be used to predict those likely to experience more rapid cognitive decline following surgery. METHODS: We analyzed data from an observational study of 560 older adults (≥70 years) without dementia undergoing major elective non-cardiac surgery. Cognitive decline was measured using change in a global composite over 2 to 36 months following surgery. Predictive features were identified as variables readily obtained from chart review or a brief patient assessment. We developed predictive models for cognitive decline (slope) and predicting dichotomized cognitive decline at a clinically determined cut. RESULTS: In a hold-out testing set, the regularized regression predictive model achieved a root mean squared error (RMSE) of 0.146 and a model r-square (R2 ) of .31. Prediction of "rapid" decliners as a group achieved an area under the curve (AUC) of .75. CONCLUSION: Some of our models could predict persons with increased risk for accelerated cognitive decline with greater accuracy than relying upon chance, and this result might be useful for stratification of surgical patients for inclusion in future clinical trials.

A Call to the CMS: Mandate Adequate Professional Nurse Staffing in Nursing Homes.

Editor's note: This article is by 22 nursing gerontology experts who are all advocates of nursing home reform. They are listed at the end of this article.

Perspectives on the Delirium Experience and Its Burden: Common Themes Among Older Patients, Their Family Caregivers, and Nurses.

BACKGROUND AND OBJECTIVES: While there are qualitative studies examining the delirium-related experiences of patients, family caregivers, and nurses separately, little is known about common aspects of delirium burden among all three groups. We describe common delirium burdens from the perspectives of patients, family caregivers, and nurses. RESEARCH DESIGN AND METHODS: We conducted semistructured qualitative interviews about delirium burden with 18 patients who had recently experienced a delirium episode, with 16 family caregivers, and with 15 nurses who routinely cared for patients with delirium. We recruited participants from a large, urban teaching hospital in Boston, Massachusetts. Interviews were recorded and transcribed. We used interpretive description as the approach to data analysis. RESULTS: We identified three common burden themes of the delirium experience: Symptom Burden (Disorientation, Hallucinations/Delusions, Impaired Communication, Memory Problems, Personality Changes, Sleep Disturbances); Emotional Burden (Anger/Frustration, Emotional Distress, Fear, Guilt, Helplessness); and Situational Burden (Loss of Control, Lack of Attention, Lack of Knowledge, Lack of Resources, Safety Concerns, Unpredictability, Unpreparedness). These burdens arise from different sources among patients, family caregivers, and nurses, with markedly differing perspectives on the burden experience. DISCUSSION AND IMPLICATIONS: Our findings advance the understanding of common burdens of the delirium experience for all groups and offer structure for instrument development and distinct interventions to address the burden of delirium as an individual or group experience. Our work reinforces that no one group experiences delirium in isolation. Delirium is a shared experience that will respond best to systemwide approaches to reduce associated burden.

The Caregiver Burden of Delirium in Older Adults With Alzheimer Disease and Related Disorders.

OBJECTIVES: To measure the burden of delirium in older adults with or without Alzheimer disease or related disorders (ADRDs). DESIGN: Prospective, observational cohort. SETTING: Inpatient hospital and study participants' homes. PARTICIPANTS: A subset (n = 267) of older medical and surgical patients and their caregivers enrolled in the Better Assessment of Illness study. MEASUREMENTS: Delirium burden was measured using the DEL-B instrument (range = 0-40, with higher scores indicating greater burden) in caregivers (DEL-B-C) and patients 1 month after hospitalization. Severity of cognitive impairment (Montreal Cognitive Assessment [MoCA]), delirium presence (Confusion Assessment Method [CAM]), and delirium severity (CAM-Severity [CAM-S]) were measured during hospitalization and at 1-month follow-up. ADRD diagnosis was determined by a clinical consensus process. RESULTS: For patients with (n = 56) and without (n = 211) ADRD, both DEL-B instruments had good internal consistency. DEL-B-C scores had a median (interquartile range) among caregivers of patients with and without ADRD of 9 (5-15) and 5 (1-11), respectively (P < .05). If the patient developed delirium, caregivers experienced greater burden (ß[delirium × ADRD] = -.29; P = .42), regardless of ADRD status. Further, caregiver burden was modestly correlated with patient MoCA scores (Spearman correlation coefficient, ρ = -0.18; P = .01). Patients with ADRD who developed delirium self-reported less burden than those without ADRD (ß[delirium × ADRD] = -.67; P = .044). As with caregivers, delirium burden was modestly correlated with patient MoCA score (ρ = -0.18; P = .005) and correlated with the CAM-S in patients without ADRD (ρ = 0.38; P < .001) but not for patients with ADRD (ρ = -0.07; P = .61). CONCLUSIONS: Delirium resulted in the same degree of increased caregiver burden regardless of whether a patient had ADRD, signifying delirium is equally stressful to caregivers, even among those with experience caring for someone with a chronic cognitive disorder. Delirium burden is only modestly associated with degree of cognitive impairment, suggesting that other aspects of delirium contribute to burden. J Am Geriatr Soc 67:2587-2592, 2019.

Assessment of Instruments for Measurement of Delirium Severity: A Systematic Review.

Importance: Measurement of delirium severity has been recognized as highly important for tracking prognosis, monitoring response to treatment, and estimating burden of care for patients both during and after hospitalization. Rather than simply rating delirium as present or absent, the ability to quantify its severity would enable development and monitoring of more effective treatment approaches for the condition. Objectives: To present a comprehensive review of delirium severity instruments, conduct a methodologic quality rating of the original validation study of the most commonly used instruments, and select a group of top-rated instruments. Evidence Review: This systematic review was conducted using literature from Embase, PsycINFO, PubMed, Web of Science, and Cumulative Index to Nursing and Allied Health Literature, from January 1, 1974, through March 31, 2017, with the key words delirium, severity, tests, measures, and intensity. Inclusion criteria were original articles assessing delirium severity and using a delirium-specific severity instrument. Final listings of articles were supplemented with hand searches of reference listings to ensure completeness. At least 2 reviewers independently completed each step of the review process: article selection, data extraction, and methodologic quality assessment of relevant articles using a validated rating scale. All discrepancies between raters were resolved by consensus. Findings: Of 9409 articles identified, 228 underwent full text review, and we identified 42 different instruments of delirium severity. Eleven of the 42 tools were multidomain, delirium-specific instruments providing a quantitative rating of delirium severity; these instruments underwent a methodologic quality review. Applying prespecified criteria related to frequency of use, methodologic quality, construct or predictive validity, and broad domain coverage, an expert panel used an iterative modified Delphi process to select 6 final high-quality instruments meeting these criteria: the Confusion Assessment Method-Severity Score, Confusional State Examination, Delirium-O-Meter, Delirium Observation Scale, Delirium Rating Scale, and Memorial Delirium Assessment Scale. Conclusions and Relevance: The 6 instruments identified may enable accurate measurement of delirium severity to improve clinical care for patients with this condition. This work may stimulate increased usage and head-to-head comparison of these instruments.

Setting the Stage for Success: Mentoring and Leadership Development.

The New Careers in Nursing (NCIN) Program funded by The Robert Wood Johnson Foundation has expanded enrollment in schools of nursing with accelerated nursing programs and increased diversity in the nursing workforce. As the demand for highly educated and skilled nurses continues to grow, accelerated nursing programs are thriving and increasing in number. The growing cadre of nontraditional nursing students has challenged nursing faculty to institute innovative teaching methods to develop accelerated students' leadership skills and to provide mentoring resources for newly licensed nurses to guide the successful and complex transition from the student to professional practice. To support its grantee schools and their scholars, the NCIN National Program office has supported the development and distribution of toolkits and other resources and solicited request for proposals to recognize outstanding contributions. The Program Innovation grants are intended to support nurse faculty educators working to develop and enhance educational projects to implement innovative approaches to accelerated nursing education that can be taken to scale and replicated in a variety of educational settings. The Legacy Award honors a program that describes lasting impact on the school as a result of participation in the NCIN program. Two of these projects are described with emphasis on leadership development and transition to practice.

Diversifying the Pipeline Into Doctoral Nursing Programs: Developing the Doctoral Advancement Readiness Self-Assessment.

This article presents the development and psychometric analysis of the Doctoral Readiness Self-Assessment for Doctoral Study. This survey was developed as the first step of a Web-based, on-line mentoring platform for nurses who are considering a doctoral degree program. By identifying and anticipating the predictors and barriers of success in doctoral nursing education, including practical (finances, time, geographical restriction) and personal factors (motivation, attitudes, perceived ability to navigate the application process), students are guided through a self-reflective process to determine readiness. Factor analysis revealed that interest, readiness, and support represent 3 distinct factors that may be used for additional analysis to predict future enrollment in doctoral nursing degree programs. The internal reliability analysis revealed that removing 3 items from the 15-item scale increased Cronbach's alpha from 0.75 to 0.80, and these factors explained 51.25% of variance. The self-assessment results can inform faculty's work as they mentor and guide students through the application, admission, and financial support processes for doctoral study.

Early intervention in planning end-of-life care with ambulatory geriatric patients: results of a pilot trial.

BACKGROUND: A large discrepancy exists between the wishes of dying patients and their actual end-of-life care. However, retrospective clinical experience suggests that early advance care planning (ACP) can markedly reduce this discrepancy. This article describes a randomized trial to evaluate the short-term clinical utility of early ACP. We also assessed the feasibility of performing a larger prospective study to document long-term outcomes. METHODS: Ambulatory geriatric patients (N = 61) were randomized to either a control group, which received only a Massachusetts Health Care Proxy form to complete, or an intervention group, in which each patient and health care agent discussed ACP with a trained nurse facilitator. The benefits and burdens of life-sustaining treatments were discussed, and patient goals and preferences for these treatments were documented. RESULTS: Two-month follow-up revealed that the intervention achieved higher congruence between agents and patients in their understanding of patients' end-of-life care preferences, with 76% (19/25) in complete agreement vs 55% (12/22) of the controls (effect size [ES] = -0.43). There was also a greater increase in patient knowledge about ACP in the intervention group (ES = 0.22). Intervention patients became less willing to undergo life-sustaining treatments for a new serious medical problem (ES = -0.25), more willing to undergo such treatments for an incurable progressive disease (ES = 0.24), and less willing to tolerate poor health states (ES = -0.78). Practical insights were gained about how to conduct a larger study more effectively. CONCLUSION: A facilitated discussion about end-of-life care between patients and their health care agents helps define and document the patient's wishes for both patient and agent.

Effect of Delirium and Other Major Complications on Outcomes After Elective Surgery in Older Adults.

IMPORTANCE: Major postoperative complications and delirium contribute independently to adverse outcomes and high resource use in patients who undergo major surgery; however, their interrelationship is not well examined. OBJECTIVE: To evaluate the association of major postoperative complications and delirium, alone and combined, with adverse outcomes after surgery. DESIGN, SETTING, AND PARTICIPANTS: Prospective cohort study in 2 large academic medical centers of 566 patients who were 70 years or older without recognized dementia or a history of delirium and underwent elective major orthopedic, vascular, or abdominal surgical procedures with a minimum 3-day hospitalization between June 18, 2010, and August 8, 2013. Data analysis took place from December 13, 2013, through May 1, 2015. MAIN OUTCOMES AND MEASURES: Major postoperative complications, defined as life-altering or life-threatening events (Accordion Severity grade 2 or higher), were identified by expert-panel adjudication. Delirium was measured daily with the Confusion Assessment Method and a validated medical record review method. The following 4 subgroups were analyzed: (1) no complications or delirium; (2) complications only; (3) delirium only; and (4) complications and delirium. Adverse outcomes included a length of stay (LOS) of more than 5 days, institutional discharge, and rehospitalization within 30 days of discharge. RESULTS: In the 566 participants, the mean (SD) age was 76.7 (5.2) years, 236 (41.7%) were male, and 523 (92.4%) were white. Forty-seven patients (8.3%) developed major complications and 135 (23.9%) developed delirium. Compared with no complications or delirium as the reference group, major complications only contributed to prolonged LOS only (relative risk [RR], 2.8; 95% CI, 1.9-4.0); by contrast, delirium only significantly increased all adverse outcomes, including prolonged LOS (RR, 1.9; 95% CI, 1.4-2.7), institutional discharge (RR, 1.5; 95% CI, 1.3-1.7), and 30-day readmission (RR, 2.3; 95% CI, 1.4-3.7). The subgroup with complications and delirium had the highest rates of all adverse outcomes, including prolonged LOS (RR, 3.4; 95% CI, 2.3-4.8), institutional discharge (RR, 1.8; 95% CI, 1.4-2.5), and 30-day readmission (RR, 3.0; 95% CI, 1.3-6.8). Delirium exerted the highest attributable risk at the population level (5.8%; 95% CI, 4.7-6.8) compared with all other adverse events (prolonged LOS, institutional discharge, or readmission). CONCLUSIONS AND RELEVANCE: Major postoperative complications and delirium are separately associated with adverse events and demonstrate a combined effect. Delirium occurs more frequently and has a greater effect at the population level than other major complications.

Global aging: implications for women and women's health.

The world's older population has been growing for centuries; however, the pace of this growth is accelerating rapidly. According to the U.S. Census Bureau, by 2030, more than 60 countries will have 2 million or more older people. Population aging represents a "success story," with increasing numbers of people worldwide enjoying additional years of life. However, the sustained increase in numbers of older people (usually defined as persons over the age of 65) poses many challenges to policy makers and health care providers around the world. As the world population ages, we are just beginning to understand the social, economic, and political implications of the "age wave." The majority of older people are women, thus the implications of population changes for women and women's health are astounding. Nurses can take a national and world leadership role to adequately address the health care needs of increasing numbers of older women.

Post myocardial infarction treatment in the older adult.

Treatments for acute myocardial infarctions (AMIs) have advanced over the past few decades. Although AMIs are considered medical emergencies, continuing research has provided protocols and guidelines that significantly decrease mortality and reinfarction rates. Beta-blockers and aspirin are considered standard treatment for post-AMI patients; however, studies involving the elderly reveal that this population is less likely to receive beta-blocker and aspirin therapy. This article discusses current recommendations and treatments for post-AMI elderly patients.