167 research outputs found

    Preparing Family Caregivers to Recognize Delirium Symptoms in Older Adults After Elective Hip or Knee Arthroplasty

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    Objectives To test the feasibility of a telephone-based intervention that prepares family caregivers to recognize delirium symptoms and how to communicate their observations to healthcare providers. Design Mixed-method, pre–post quasi-experimental design. Setting A Midwest Veterans Affairs Medical Center and a nonprofit health system. Participants Forty-one family caregiver-older adult dyads provided consent; 34 completed the intervention. Intervention Four telephone-based education modules using vignettes were completed during the 3 weeks before the older adult\u27s hospital admission for elective hip or knee replacement. Each module required 20 to 30 minutes. Measurements Interviews were conducted before the intervention and 2 weeks and 2 months after the older adult\u27s hospitalization. A researcher completed the Confusion Assessment Method (CAM) and a family caregiver completed the Family Version of the Confusion Assessment Method (FAM-CAM) 2 days after surgery to assess the older adults for delirium symptoms. Results Family caregivers’ knowledge of delirium symptoms improved significantly from before the intervention to 2 weeks after the intervention and was maintained after the older adult\u27s hospitalization. They also were able to recognize the presence and absence of delirium symptoms in the vignettes included in the intervention and in the older adult after surgery. In 94% of the cases, the family caregiver rating on the FAM-CAM approximately 2 days after the older adult\u27s surgery agreed with the researcher rating on the CAM. Family caregivers expressed satisfaction with the intervention and stated that the information was helpful. Conclusion Delivery of a telephone-based intervention appears feasible. All family caregivers who began the program completed the four education modules. Future studies evaluating the effectiveness of the educational program should include a control group

    Patient- and Hospital-level Predictors of 30-day Readmission after Acute Coronary Syndrome: A Systematic Review

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    Background: Readmissions following acute myocardial infarction (AMI) are costly and may be partly due to poor care. A previous systematic review examined the literature through 2007. Since then, health policy has changed and additional articles examining predictors of readmission have appeared. We sought to conduct a systematic review of the literature after 2007 regarding socio-demographic, clinical, psychosocial, and hospital level predictors of 30-day readmissions after acute coronary syndrome. Methods: A systematic search of the literature using Pubmed, OVID, ISI web of science, CINAHL, ACP and the Cochrane Library was conducted, including a quality assessment using Downs and Black criteria. Articles reporting on 30-day readmission rate and examining at least one patient-level predictor of readmission at 30 days were included; articles examining interventions to reduce readmissions were excluded. Results: Twenty-two studies were included in this review from which more than 60 predictors of 30-day readmission were identified. Age, co-morbidity, COPD, diabetes, hypertension and having had a previous AMI were all consistently associated with higher risk of readmission. However, no studies reported psychosocial factors as predictors of readmission at 30 days. Conclusion: Studies of readmission should adjust for age and co-morbidity, consistent predictors of readmission at 30-days. Patients with these risk factors for readmission should be targeted for more-intensive follow-up after discharge. Psychosocial predictors of readmission remains a relatively unexplored area of research

    Association between Psychosocial Factors, Quality of Life and Atrial Fibrillation

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    Background: Atrial fibrillation (AF) is associated with cognitive and psychosocial comorbidities, and poorer quality of life (QOL). In this study, we aimed to study the association between cognition, psychosocial status and QOL at baseline and AF recurrence. Methods: We enrolled 222 symptomatic AF patients (64±10.0 years, 36% women) treated with a rhythm-control strategy. We performed cognitive, psychosocial, and QOL assessments using Montreal cognitive assessment (MOCA, cognitive impairment Results: A total of 123 (55%) participants experienced an AF recurrence over the 6-month follow-up period. Participants with an AF recurrence had higher rates of depression (31% vs.14%, p=0.022) and lower QOL (62±24 vs. 72±21, p=0.003) at baseline than did participants free from recurrence. In multivariable logistic regression models, lower baseline QOL, but not depression, anxiety, or cognition, was associated with a significantly higher odds of AF recurrence event (Odds Ratio: 0.98, CI 0.97-0.99). Conclusion: Lower AF-related QOL is associated with higher odds of AF recurrence over 6 months among symptomatic AF patients treated with rhythm control. Patient-reported variables have not previously been considered as risk factors for disease progression or prognosis. Our data suggests QOL may serve as a useful tool to aid clinicians in the management of AF patients

    Psychosocial Factors Predict Patient Ratings of Care Transition Quality: Results from Transitions, Risks, and Actions in Coronary Events – Center for Outcomes Research and Education (TRACE-CORE)

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    Background: Short hospital stays and fragmented care make the transition following hospitalization a high-risk period for ACS patients. Identified risks for rehospitalization and complications associated with transitions include demographic (e.g., older age), clinical (e.g., co-morbidities), and psychosocial (e.g., depression) factors. Thus, one might expect high-risk patients to receive better quality transitional care to minimize negative outcomes; alternatively, the quality of care may be yet another outcome influenced by the same risk factors. Little is known about the predictors of quality of care transitions from the patients’ perspective. Methods: We studied 1,545 TRACE-CORE patients (mean age = 62, 34% female, 78% non-Hispanic white) admitted with an ACS who completed in-hospital interviews and the Care Transition Measure (CTM) at 1 month after discharge. High quality transitions were indicated by a CTM-15 score \u3e74. Using logistic regression models we examined the association between in-hospital demographic, clinical, and psychosocial characteristics, generic and disease specific quality of life, health literacy and numeracy, and cognitive status with high quality transitions. Results: Over one-third (36%) of participants (n=552) reported high quality transitions after an ACS. Most variables of interest were associated (p \u3c .20) with care transition quality in bivariate analyses. After adjustment, in-hospital cognitive impairment (Odds Ratio (OR) 0.68; 95% CI 0.46, 0.98) and older age (OR 0.99; CI 0.98, 1.00) were negatively associated with reporting high care transition quality, while high levels of social support (OR 1.06; CI 1.03, 1.10) and patient activation (OR 1.46; CI 1.02, 2.09) increased the chance of reporting high care transition quality in a multivariable model. Conclusions: Older patients, those with cognitive impairment, low social support, or lower patient activation may be at risk for lower-quality transitions following hospitalization for ACS, and may benefit from extra attention and support during the transition from hospital to home

    Multiple cardiovascular comorbidities and acute myocardial infarction: temporal trends (1990–2007) and impact on death rates at 30 days and 1 year

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    BACKGROUND: The objectives of this community-based study were to examine the overall and changing (1990-2007) frequency and impact on 30-day and 1-year death rates from multiple cardiovascular comorbidities in adults from a large central New England metropolitan area hospitalized with acute myocardial infarction (AMI). METHODS: The study population consisted of 9581 patients hospitalized with AMI at all 11 medical centers in the metropolitan area of Worcester, MA, during 10 annual periods between 1990 and 2007. The comorbidities examined included atrial fibrillation, diabetes, heart failure, hypertension, and stroke. RESULTS: Thirty-five percent of participants had a single diagnosed cardiovascular comorbidity, 25% had two, 12% had three, and 5% had four or more comorbidities. Between 1990 and 2007, the proportion of patients without any of these comorbidities decreased significantly, while the proportion of patients with multiple comorbidities increased significantly during the years under study. An increasing number of comorbidities was associated with higher 30-day and 1-year postadmission death rates in patients hospitalized with AMI. CONCLUSION: Patients hospitalized with AMI carry a significant burden of comorbid cardiovascular disease that adversely impacts their 30-day and longer-term survival. Increased attention to the management of AMI patients with multiple cardiovascular comorbidities is warranted

    Admission Hyperglycemia in Setting of Acute Heart Failure is Associated with Increased In-hospital Mortality Among Patients without Diabetes

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    Background: Heart Failure (HF) in the setting of comorbid diabetes mellitus (DM) has been extensively examined and is associated with increased mortality. More recently, hyperglycemia independent of DM status during critical illness admissions has become recognized as an indicator of poor outcomes. Despite evolving understanding of DM in the setting of acute HF, hyperglycemia at time of admission for acute HF has not been examined with regard to in-hospital treatment and patient outcomes. Objective: The goal of this study is to examine differences in in-hospital treatment and outcomes of patients hospitalized for acute HF according to glycemic status. Methods: The sample consisted of 9,748 residents of the Worcester (MA) metropolitan area hospitalized at all 11 greater Worcester medical centers for acute decompensated HF during the years 1995 - 2004 with data available on diabetic status and admission glucose measurements. Patients were stratified into three groups based on history of DM and admission hyperglycemia defined by glucose ≥200 mg/dL: 1) nondiabetic, normoglycemic (NDNG); 2) non-diabetic, hyperglycemic (NDHG); and 3) diabetic (DM). Results: Non-diabetic, normoglycemic patients were similar to NDHG patients with respect to age and medical history and were significantly older and less likely to have a history of various comorbid conditions such as hypertension, stroke and renal disease when compared to diabetics (p-values Conclusions: The results of our population-based investigation suggest that non-diabetic patients hospitalized for acute HF who are hyperglycemic at the time of admission represent a vulnerable group of patients at risk for increased mortality during hospitalization. Hyperglycemia ≥200 mg/dL during acute HF hospitalization should be taken into account when providing in-hospital management for HF with additional consideration given to ascertainment of diabetic status and glycemic control

    Prognostic value of geriatric conditions for death and bleeding in older patients with atrial fibrillation

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    Background: Geriatric conditions, such as frailty and cognitive impairment, are prevalent in older patients with atrial fibrillation (AF). We examined the prognostic value of geriatric conditions for predicting 1-year mortality and bleeding events in these patients. Methods: SAGE (Systematic Assessment of Geriatric Elements)-AF study is a multicenter cohort study which enrolled individuals (mean age 75 years, 48% women, 86% taking oral anticoagulation) 65 years and older with AF and CHA2DS2 -VASc score of 2 or higher from clinics in Massachusetts and Georgia, USA between 2016 and 2018. A six-component geriatric assessment included validated measures of frailty, cognitive function, social support, depressive symptoms, vision, and hearing was performed at baseline. Study endpoints included all-cause mortality and clinically relevant bleeding. Results: At 1 year, 1,097 (96.5%) individuals attended the follow up visit, 44 (3.9%) had died, and 56 (5.1%) had clinically relevant bleeding. After adjustment for demographic and clinical factors, social isolation (odds ratio [OR] 1.69, 95% confidence interval [CI]: 1.01-2.84), depression (OR 1.94, 95% CI: 1.28-2.95) and frailty (OR 2.55, 95% CI: 1.55-4.19) were significantly associated with the composite endpoint of death or clinically relevant bleeding. After multivariable adjustment, depression (OR 1.79, 95% CI 1.09-2.93) and frailty (OR 2.83, 95% CI 1.55-5.17) were significantly associated with clinically relevant bleeding. Conclusions: Social isolation, depression, and frailty were prognostic of dying or experiencing clinically relevant bleeding during the coming year in older men and women with AF. Assessing geriatric impairments merits consideration in the care of these patients

    Acceptability of a Novel Smartphone Application for Rhythm Evaluation in Patients with Atrial Fibrillation

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    Background: Investigators at UMass Medical School and WPI co-developed a novel smartphone application (app), PULSESMART, that detects atrial fibrillation (AF). AF is the world’s most common, serious heart rhythm problem. In its early stages, most cases of AF are paroxysmal (pAF), making them difficult to identify early in the course of disease. Long-term cardiac monitoring is frequently needed to diagnose and prevent complications from AF, such as stroke. Home monitoring for AF can be clinically impactful but existing technologies have cost or methodological limitations. Data are needed on the potential acceptability and usability of heart rhythm monitoring applications. Aim: Our aim was to examine patient acceptability of using a pAF detection app. Methods: 52 patients with pAF underwent rhythm assessment using the app and completed a standardized questionnaire. We looked specifically at responses to 3 questions: 1) how easy was it to use? 2) How important could it be for you? And 3) to what extent does it fit into your daily life? Results: The mean age was 68.5 years and 69% female. The majority of patients reported the app was easy to use (73%), could be important to them and their health (84%), and would fit into their daily lives (78%). Conclusions: After use of the pAF detection app, most patients reported positively. The results suggest that older persons with, or at risk for, pAF may benefit from smartphone-based arrhythmia detection platforms. Further work is needed to assess the feasibility of at-home or in-clinic app use

    Clinically Meaningful Change in Quality of Life and Associated Factors Among Older Patients With Atrial Fibrillation

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    Background: Among older patients with atrial fibrillation, there are limited data examining clinically meaningful changes in quality of life (QoL). We examined the extent of, and factors associated with, clinically meaningful change in QoL over 1-year among older adults with atrial fibrillation. Methods and Results: Patients from cardiology, electrophysiology, and primary care clinics in Massachusetts and Georgia were enrolled in a cohort study (2015-2018). The Atrial Fibrillation Effect on Quality-of-Life questionnaire was used to assess overall QoL and across 3 subscales: symptoms, daily activities, and treatment concern. Clinically meaningful change in QoL (ie, difference between 1-year and baseline QoL score) was categorized as either a decline ( \u3c /=-5.0 points), no clinically meaningful change (-5.0 to +5.0 points), or an increase ( \u3e /=+5.0 points). Ordinal logistic models were used to examine factors associated with QoL changes. Participants (n=1097) were on average 75 years old, 48% were women, and 87% White. Approximately 40% experienced a clinically meaningful increase in QoL and 1 in every 5 patients experienced a decline in QoL. After multivariable adjustment, women, non-Whites, those who reported depressive and anxiety symptoms, fair/poor self-rated health, low social support, heart failure, or diabetes mellitus experienced clinically meaningful declines in QoL. Conclusions: These findings provide insights to the magnitude of, and factors associated with, clinically meaningful change in QoL among older patients with atrial fibrillation. Assessment of comorbidities and psychosocial factors may help identify patients at high risk for declining QoL and those who require additional surveillance to maximize important clinical and patient-centered outcomes

    Incident frailty and cognitive impairment by heart failure status in older patients with atrial fibrillation: the SAGE-AF study

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    Background: Atrial fibrillation (AF) and heart failure (HF) frequently co-occur in older individuals. Among patients with AF, HF increases risks for stroke and death, but the associations between HF and incident cognition and physical impairment remain unknown. We aimed to examine the cross-sectional and prospective associations between HF, cognition, and frailty among older patients with AF. Methods: The SAGE-AF (Systematic Assessment of Geriatric Elements in AF) study enrolled 1244 patients with AF (mean age 76 years, 48% women) from five practices in Massachusetts and Georgia. HF at baseline was identified from electronic health records using ICD-9/10 codes. At baseline and 1-year, frailty was assessed by Cardiovascular Health Survey score and cognition was assessed by the Montreal Cognitive Assessment. Results: Patients with prevalent HF (n = 463, 37.2%) were older, less likely to be non-Hispanic white, had less education, and had greater cardiovascular comorbidity burden and higher CHA2DS2VASC and HAS-BLED scores than patients without HF (all P\u27s \u3c 0.01). In multivariable adjusted regression models, HF (present vs. absent) was associated with both prevalent frailty (adjusted odds ratio [aOR]: 2.38, 95% confidence interval [CI]: 1.64-3.46) and incident frailty at 1 year (aOR: 2.48, 95% CI: 1.37-4.51). HF was also independently associated with baseline cognitive impairment (aOR: 1.60, 95% CI: 1.22-2.11), but not with developing cognitive impairment at 1 year (aOR 1.04, 95%CI: 0.64-1.70). Conclusions: Among ambulatory older patients with AF, the co-existence of HF identifies individuals with physical and cognitive impairments who are at higher short-term risk for becoming frail. Preventive strategies to this vulnerable subgroup merit consideration
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