Search

Congestive heart failure (CHF) is the leading reason for hospital admission and readmission, with an average hospital stay (according to the Medicare DR) of 5.4 days, allowing only for stabilization of the acute illness per se. Methods: To bridge the gap between hospital and home, we developed an innovative, multidisciplinary program involving medical management of CHF and inter-related geriatric syndromes, patient/family education, and exercise rehabilitation in a skilled nursing facility (SNF). Results: SNF residents (n=42; x [+ or -] SD age=81 [+ or -] 7 years; 66% female) with a CHF diagnosis were studied from Sept. 2001 to Jan. 2002. Expected SFN length of stay (21.2 days) was reduced by 18% (i.e., to 17.3 days). Functional status and psychosocial well-being (assessed using the Chronic Heart Failure Questionnaire) improved markedly from baseline to discharge: NYHA Class (2.3 vs 1.8); 6-minute walk distance (290 vs. 570 feet); Freedom from Dyspnea Score (22 vs. 30); Freedom from Fatigue Score (13 vs 21.); and Lack of Emotional Distress Score (30 vs. 41). All variables demonstrated statistically significant improvements (p

While urinary urgency with incontinence may be disabling, current pharmaceutical interventions are anticholinergic and may potentially worsen cognition. Patients with baseline cognitive dysfunction may be at greater risk, but control of incontinence may delay institutionalization. Purpose: to determine the effect of Detrol (Det) and Ditropan (Dit) on cognition and urinary incontinence in elderly patients with mild to moderate cognitive impairment. Method: prospective, single blind, crossover study of 13 subjects with predominant urge urinary incontinence; age 86 + 4 (sd) years. Baseline (B) and after 3 weeks 'on-drug' measurements of MMSE, Trails A and B, Royal Clox-I and II, and Urge-Urinary Distress Inventory were performed. Patients were blindly assigned by block randomization to either B/Det/B/Dit or B/Dit/B/Det. A three - week washout occurred between drug and subsequent baseline. There was a trend toward decreased MMSE score (Det= -1.2, sd=3.0, p=0.084; Dit=l.1, sd=3.5, p=0.15; with no significant differences in other cognitive performance measures. Both drugs significantly reduced the urinary symptoms (Det: in home-2.2 + 3.0; p=0.01, out of home -2.3 + 3.7; p=0.02: Dit: in home-3.3 + 2.0; p

Although the Functional Independence Measure (FIM) and Barthel Index are extensively used for outcome measurement in Rehabilitation, neither is widely used in Skilled Nursing Facilities (SNF); each adds paperwork in a climate of limited resources. We propose an MDS-based measure: Functional Impairment Score (FIS). Elderly patients (n=266) discharged from hospital to SNF with recent hip fracture, requiring rehabilitation, were evaluated. Initial (day 1) and discharge FIS were determined based on MDS performance and support scores in 4 categories: Transfer, Bed Mobility, Toilet Use, and Eating. Maximum FIS = 18 (most impaired) and minimum FIS = 4 (least impaired). Patients were classified into Resource Utilization Groups (RUGS) according to their HCFA SNF Prospective Payment System 'Day 5 MDS' which is required by regulation. RUG Category Med High Very Ultra Admission 14.3 13.9 12.5 11.4 Discharge 12.8 11.0 7.8 5.2 FIS Improvement * 1.5 2.9 4.7 6.2 Improvement/Day * 0.11 0.21 0.24 0.28 * p

Impulsivity-related falls (IRFs) sustained by hospitalized, older adults can lead to critical adverse events. The purpose of this study was to determine whether 7 common fall risk factors contributed to the occurrence of IRF in hospitalized, older adults. This study found that 31% of falls were classified as IRF. Logistic regression indicated that inattention and mobility were contributors to IRF. Early identification of these 2 risk factors could improve identification of potential IRFs and reduce fall rates. [ABSTRACT FROM AUTHOR]

Impulsivity in older adults is poorly understood and there is limited literature on the relationship between impulsivity and falls. This retrospective study evaluated the relationship between of inattention and impulsivity related falls (IRF) in hospitalized older adults. The sample (N = 192) included patients 65 years and older with a documented in-patient fall in 2007. 'Impaired judgment' was identified as the critical attribute of IRF. The Confusion Assessment Method item for inattention was extracted as the variable for inattention. Twenty-eight percent (28%) of falls were classified as IRF. A significant relationship was found between inattention on the shift prior to a fall and the fall being an IRF (Chi-square = 45.5, df = 1, p = .00, Phi = .54, p = .00). Early identification of older adults with impaired attention has potential to reduce IRF when nursing uses this assessment to implement additional safety interventions for hospitalized older adults. Copyright 2010 Mosby, Inc. All rights reserved. [ABSTRACT FROM AUTHOR]

Background: Alzheimer's disease (AD) is the most common form of dementia, accounting for 80% of all cases. Mild cognitive impairment (MCI) is a transitional state between normal aging and AD. Early detection is crucial, as irreversible brain damage occurs before symptoms manifest., Objective: This study aimed to identify potential biomarkers for early detection of AD by analyzing urinary cytokine concentrations. We investigated 37 cytokines in AD, MCI, and cognitively normal individuals (NC), assessing their associations with AD development., Methods: Urinary cytokine concentrations were measured in AD ( n  = 25), MCI ( n  = 25), and NC ( n  = 26) patients. IL6ST and MMP-2 levels were compared between AD and NC, while TNFRSF8, IL6ST, and IL-19 were assessed in AD versus MCI. Diagnostic models distinguished AD from NC, and in-silico analysis explored molecular mechanisms related to AD., Results: Significant perturbations in IL6ST and MMP-2 concentrations were observed in AD urine compared to NC, suggesting their potential as biomarkers. TNFRSF8, IL6ST, and IL-19 differed significantly between AD and MCI, implicating them in disease progression. Diagnostic models exhibited promising performance (AUC: 0.59-0.79, sensitivity: 0.72-0.80, specificity: 0.56-0.78) in distinguishing AD from NC. In-silico analysis revealed molecular insights, including relevant non-coding RNAs, microRNAs, and transcription factors., Conclusion: This study establishes significant associations between urinary cytokine concentrations and AD and MCI. IL6ST, MMP-2, TNFRSF8, IL6ST, and IL-19 emerge as potential biomarkers for early detection of AD. In-silico analysis enhances understanding of molecular mechanisms in AD. Further validation and exploration of these biomarkers in larger cohorts are warranted to assess their clinical utility., Competing Interests: The authors have no conflict of interest to report., (© 2023 – The authors. Published by IOS Press.)

Background: Despite extensive efforts, significant gaps remain in our understanding of Alzheimer’s disease (AD) pathophysiology. Novel approaches using circulating cell-free DNA (cfDNA) have the potential to revolutionize our understanding of neurodegenerative disorders. Methods: We performed DNA methylation profiling of cfDNA from AD patients and compared them to cognitively normal controls. Six Artificial Intelligence (AI) platforms were utilized for the diagnosis of AD while enrichment analysis was used to elucidate the pathogenesis of AD. Results: A total of 3684 CpGs were significantly (adj. p-value < 0.05) differentially methylated in AD versus controls. All six AI algorithms achieved high predictive accuracy (AUC = 0.949−0.998) in an independent test group. As an example, Deep Learning (DL) achieved an AUC (95% CI) = 0.99 (0.95−1.0), with 94.5% sensitivity and specificity. Conclusion: We describe numerous epigenetically altered genes which were previously reported to be differentially expressed in the brain of AD sufferers. Genes identified by AI to be the best predictors of AD were either known to be expressed in the brain or have been previously linked to AD. We highlight enrichment in the Calcium signaling pathway, Glutamatergic synapse, Hedgehog signaling pathway, Axon guidance and Olfactory transduction in AD sufferers. To the best of our knowledge, this is the first reported genome-wide DNA methylation study using cfDNA to detect AD.

We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 late-onset AD (LOAD) and 24 cognitively healthy subjects. Data were analyzed using six Artificial Intelligence (AI) methodologies including Deep Learning (DL) followed by Ingenuity Pathway Analysis (IPA) was used for AD prediction. We identified 152 significantly (FDR p<0.05) differentially methylated intragenic CpGs in 171 distinct genes in AD patients compared to controls. All AI platforms accurately predicted AD with AUCs ≥0.93 using 283,143 intragenic and 244,246 intergenic/extragenic CpGs. DL had an AUC = 0.99 using intragenic CpGs, with both sensitivity and specificity being 97%. High AD prediction was also achieved using intergenic/extragenic CpG sites (DL significance value being AUC = 0.99 with 97% sensitivity and specificity). Epigenetically altered genes included CR1L & CTSV (abnormal morphology of cerebral cortex), S1PR1 (CNS inflammation), and LTB4R (inflammatory response). These genes have been previously linked with AD and dementia. The differentially methylated genes CTSV & PRMT5 (ventricular hypertrophy and dilation) are linked to cardiovascular disease and of interest given the known association between impaired cerebral blood flow, cardiovascular disease, and AD. We report a novel, minimally invasive approach using peripheral blood leucocyte epigenomics, and AI analysis to detect AD and elucidate its pathogenesis., Competing Interests: The authors have read the journal’s policy and have the following competing interest: BA is a paid employee of Meridian HealthComms Ltd. There are no patents, products in development or marketed products associated with this research to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

CSF from unique groups of Parkinson's disease (PD) patients was biochemically profiled to identify previously unreported metabolic pathways linked to PD pathogenesis, and novel biochemical biomarkers of the disease were characterized. Utilizing both 1 H NMR and DI-LC-MS/MS we quantitatively profiled CSF from patients with sporadic PD ( n = 20) and those who are genetically predisposed (LRRK2) to the disease ( n = 20), and compared those results with age and gender-matched controls ( n = 20). Further, we systematically evaluated the utility of several machine learning techniques for the diagnosis of PD. 1 H NMR and mass spectrometry-based metabolomics, in combination with bioinformatic analyses, provided useful information highlighting previously unreported biochemical pathways and CSF-based biomarkers associated with both sporadic PD (sPD) and LRRK2 PD. Results of this metabolomics study further support our group's previous findings identifying bile acid metabolism as one of the major aberrant biochemical pathways in PD patients. This study demonstrates that a combination of two complimentary techniques can provide a much more holistic view of the CSF metabolome, and by association, the brain metabolome. Future studies for the prediction of those at risk of developing PD should investigate the clinical utility of these CSF-based biomarkers in more accessible biomatrices. Further, it is essential that we determine whether the biochemical pathways highlighted here are recapitulated in the brains of PD patients with the aim of identifying potential therapeutic targets., Competing Interests: The authors declare no conflict of interest.

Disruptions of brain metabolism are considered integral to the pathogenesis of dementia, but thus far little is known of how dementia with Lewy bodies (DLB) impacts the brain metabolome. DLB is less well known than other neurodegenerative diseases such as Alzheimer's and Parkinson's disease which is perhaps why it is under-investigated. This exploratory study aimed to address current knowledge gaps in DLB research and search for potentially targetable biochemical pathways for therapeutics. It also aimed to better understand metabolic similarities and differences with other dementias. Combined metabolomic analyses of 1 H NMR and tandem mass spectrometry of neocortical post-mortem brain tissue (Brodmann region 7) from autopsy confirmed cases of DLB (n = 15) were compared with age/gender-matched, non-cognitively impaired healthy controls (n = 30). Following correction for multiple comparisons, only 2 metabolites from a total of 219 measured compounds significantly differed. Putrescine was suppressed (55.4%) in DLB and O-phosphocholine was elevated (52.5%). We identified a panel of 5 metabolites (PC aa C38:4, O-Phosphocholine, putrescine, 4-Aminobutyrate, and SM C16:0) capable of accurately discriminating between DLB and control subjects. Deep Learning (DL) provided the best predictive model following 10-fold cross validation (AUROC (95% CI) = 0.80 (0.60-1.0)) with sensitivity and specificity equal to 0.92 and 0.88, respectively. Altered brain levels of putrescine and O-phosphocholine indicate that the Kennedy pathway and polyamine metabolism are perturbed in DLB. These are accompanied by a consistent underlying trend of lipid dysregulation. As yet it is unclear whether these are a cause or consequence of DLB onset., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Currently, there is no objective, clinically available tool for the accurate diagnosis of Alzheimer's disease (AD). There is a pressing need for a novel, minimally invasive, cost friendly, and easily accessible tool to diagnose AD, assess disease severity, and prognosticate course. Metabolomics is a promising tool for discovery of new, biologically, and clinically relevant biomarkers for AD detection and classification., Objective: Utilizing artificial intelligence and machine learning, we aim to assess whether a panel of metabolites as detected in plasma can be used as an objective and clinically feasible tool for the diagnosis of mild cognitive impairment (MCI) and AD., Methods: Using a community-based sample cohort acquired from different sites across the US, we adopted an approach combining Proton Nuclear Magnetic Resonance Spectroscopy (1H NMR), Liquid Chromatography coupled with Mass Spectrometry (LC-MS) and various machine learning statistical approaches to identify a biomarker panel capable of identifying those patients with AD and MCI from healthy controls., Results: Of the 212 measured metabolites, 5 were identified as optimal to discriminate between controls, and individuals with MCI or AD. Our models performed with AUC values in the range of 0.72-0.76, with the sensitivity and specificity values ranging from 0.75-0.85 and 0.69-0.81, respectively. Univariate and pathway analysis identified lipid metabolism as the most perturbed biochemical pathway in MCI and AD., Conclusion: A comprehensive method of acquiring metabolomics data, coupled with machine learning techniques, has identified a strong panel of diagnostic biomarkers capable of identifying individuals with MCI and AD. Further, our data confirm what other groups have reported, that lipid metabolism is significantly perturbed in those individuals suffering with dementia. This work may provide additional insight into AD pathogenesis and encourage more in-depth analysis of the AD lipidome.

Background: Despite strong evidence of benefit, breast cancer risk assessment and chemoprevention are underutilized by primary care physicians. This study evaluates the impact of an educational program on knowledge and utilization of the NCI Breast Cancer Risk Assessment Tool (BCRAT) by internal medicine residents., Methods: Internal medicine residents at the primary care clinic at William Beaumont Hospital participated in an educational program on breast cancer risk assessment and chemoprevention. A questionnaire was used to assess knowledge and practice before and after participation. Electronic health records of women between the ages of 35 and 65 who were seen by participating residents for annual health exams between Dec 15, 2015 and Dec 14, 2016 were reviewed. Utilization of BCRAT by the residents was compared pre- and post-educational program., Results: A total of 43 residents participated in the study. 31 (72.1%) residents reported no prior knowledge about BCRAT. The remaining 12 (27.9%) reported limited knowledge of BCRAT, but the majority of these (n = 10, 83.3%) had not used it in the last six months. For each question on the pre-educational knowledge assessment, fewer than 10% of the residents responded correctly. After implementation of the educational program, there was a significant increase in the proportion of residents who answered correctly (Range: 67 to 100%, p < 0.001). Electronic health records of 301 clinic patients were reviewed, 118 (39.2%) in the pre-educational program group and 183 (60.8%) in the post-educational program group. There was a higher use of BCRAT in the post-educational program group compared to the pre-intervention group (3.8% vs. 0%, p < 0.05). However, a majority (n = 294, 98.7%) of eligible patients from both groups did not undergo breast cancer risk assessment., Conclusions: Our study demonstrates that an educational intervention improved residents' knowledge of BCRAT. Despite this improvement, a significant proportion of patients did not undergo breast cancer risk assessment. Expanding the scope and duration of this intervention and combining it with innovative use of technology to improve utilization should be the subject of future investigation.

For people with Parkinson's disease (PD), considered the most common neurodegenerative disease behind Alzheimer's disease, accurate diagnosis is dependent on many factors; however, misdiagnosis is extremely common in the prodromal phases of the disease, when treatment is thought to be most effective. Currently, there are no robust biomarkers that aid in the early diagnosis of PD. Following previously reported work by our group, we accurately measured the concentrations of 18 bile acids in the serum of a prodromal mouse model of PD. We identified three bile acids at significantly different concentrations ( p < 0.05) when mice representing a prodromal PD model were compared with controls. These include ω-murichoclic acid (MCAo), tauroursodeoxycholic acid (TUDCA) and ursodeoxycholic acid (UDCA). All were down-regulated in prodromal PD mice with TUDCA and UDCA at significantly lower levels (17-fold and 14-fold decrease, respectively). Using the concentration of three bile acids combined with logistic regression, we can discriminate between prodromal PD mice from control mice with high accuracy (AUC (95% CI) = 0.906 (0.777⁻1.000)) following cross validation. Our study highlights the need to investigate bile acids as potential biomarkers that predict PD and possibly reflect the progression of manifest PD.

Parkinson's disease is the second most common neurodegenerative disease. In the vast majority of cases the origin is not genetic and the cause is not well understood, although progressive accumulation of α-synuclein aggregates appears central to the pathogenesis. Currently, treatments that slow disease progression are lacking, and there are no robust biomarkers that can facilitate the development of such treatments or act as aids in early diagnosis. Therefore, we have defined metabolomic changes in the brain and serum in an animal model of prodromal Parkinson's disease. We biochemically profiled the brain tissue and serum in a mouse model with progressive synucleinopathy propagation in the brain triggered by unilateral injection of preformed α-synuclein fibrils in the olfactory bulb. In total, we accurately identified and quantified 71 metabolites in the brain and 182 in serum using 1 H NMR and targeted mass spectrometry, respectively. Using multivariate analysis, we accurately identified which metabolites explain the most variation between cases and controls. Using pathway enrichment analysis, we highlight significantly perturbed biochemical pathways in the brain and correlate these with the progression of the disease. Furthermore, we identified the top six discriminatory metabolites and were able to develop a model capable of identifying animals with the pathology from healthy controls with high accuracy (AUC (95% CI) = 0.861 (0.755-0.968)). Our study highlights the utility of metabolomics in identifying elements of Parkinson's disease pathogenesis and for the development of early diagnostic biomarkers of the disease.

Using 1H NMR metabolomics, we biochemically profiled saliva samples collected from healthy-controls (n = 12), mild cognitive impairment (MCI) sufferers (n = 8), and Alzheimer's disease (AD) patients (n = 9). We accurately identified significant concentration changes in 22 metabolites in the saliva of MCI and AD patients compared to controls. This pilot study demonstrates the potential for using metabolomics and saliva for the early diagnosis of AD. Given the ease and convenience of collecting saliva, the development of accurate and sensitive salivary biomarkers would be ideal for screening those at greatest risk of developing AD.

Introduction: There have been several concerns about the quality of documentation in electronic health records (EHRs) when compared to paper charts. This study compares the accuracy of physical examination findings documentation between the two in initial progress notes., Methodology: Initial progress notes from patients with 5 specific diagnoses with invariable physical findings admitted to Beaumont Hospital, Royal Oak, between August 2011 and July 2013 were randomly selected for this study. A total of 500 progress notes were retrospectively reviewed. The paper chart arm consisted of progress notes completed prior to the transition to an EHR on July 1, 2012. The remaining charts were placed in the EHR arm. The primary endpoints were accuracy, inaccuracy, and omission of information. Secondary endpoints were time of initiation of progress note, word count, number of systems documented, and accuracy based on level of training., Results: The rate of inaccurate documentation was significantly higher in the EHRs compared to the paper charts (24.4% vs 4.4%). However, expected physical examination findings were more likely to be omitted in the paper notes compared to EHRs (41.2% vs 17.6%). Resident physicians had a smaller number of inaccuracies (5.3% vs 17.3%) and omissions (16.8% vs 33.9%) compared to attending physicians., Conclusions: During the initial phase of implementation of an EHR, inaccuracies were more common in progress notes in the EHR compared to the paper charts. Residents had a lower rate of inaccuracies and omissions compared to attending physicians. Further research is needed to identify training methods and incentives that can reduce inaccuracies in EHRs during initial implementation., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

The purpose of this pilot study was to test the feasibility of a wireless 5-sensor, motion detection system (5S-MDS) with hospitalized older adults. Interventions to prevent hospital-based falls in older adults are important to reduce morbidity, mortality, and health care costs. Wearable motion sensors, which track and wirelessly transmit body movements, may identify human movement patterns that immediately precede falls, thus allowing early prevention. Descriptive feasibility study in which 5 hospitalized older adults were recruited to wear the 5S-MDS for 4 hours. Measurement included assessment of participant acceptance, skin integrity, and sensor accuracy. All 5 participants (mean age, 90.2 years) agreed that sensors were acceptable and skin integrity was maintained. The sensor data accurately reflected the patient movements. The 5S-MDS was feasible for 4 hours' use with hospitalized older adults. It has potential as an early warning system for falls., (Copyright © 2012 Mosby, Inc. All rights reserved.)

Interventions to prevent hospital-based falls in older adults are critically important to reduce morbidity, mortality, and health care costs. The purpose of this pilot study was to test the accuracy and acceptability of a wireless five-sensor motion detection system (5S-MDS) for detecting falls. Wearable motion sensors, which measure and integrate movement in space, may identify human movement patterns that immediately precede falls, thus allowing prevention. However, sensors must be accurate, and older adults must find wearable sensors acceptable. This descriptive feasibility study recruited 5 healthy older adults (mean age = 69.6) who wore the 5S-MDS while performing 35 movement scenarios. All participants agreed the sensors were acceptable, and skin integrity was maintained for all. The 5S-MDS accurately reflected the patients' movements and was found acceptable to the older adults; thus, the 5S-MDS has potential as an early warning system for falls., (Copyright 2012, SLACK Incorporated.)

Objectives: Cardio renal anemia syndrome is being increasingly recognized in patients with congestive heart failure (CHF) and is associated with increased mortality and rehospitalization rates. Our objective was to assess the relationship between hemoglobin (Hb), creatinine clearance (C(Cr)), and hospital readmission in elderly patients enrolled in a skilled nursing facility (SNF)-based CHF rehabilitation unit., Methods: We retrospectively identified 127 consecutive patients admitted to an SNF-based CHF rehabilitation unit between July 2001 and September 2002. The patients were grouped into quintiles of hemoglobin and creatinine clearance (C(Cr)) The rate of hospital readmission between quintiles of above variables was compared using the chi-square test., Results: We found a higher prevalence of anemia than reported earlier in the literature for CHF patients discharged from hospital. Rehospitalization rates were increased two- and fivefold in lower compared to higher quintiles of hemoglobin and creatinine clearance, respectively. Anemia predicted rehospitalization in patients with renal dysfunction., Conclusion: Our study suggests an association between anemia and rehospitalization rates in patients with renal dysfunction enrolled in an SNF-based CHF rehabilitation unit.

Among the general heart failure (HF) population, over half have diastolic HF (DHF). The proportion of DHF increases with age, from 46% in patients younger than 45 years to 59% in patients older than 85 years. The diagnosis of DHF is made by the combination of signs and symptoms of HF with preserved systolic function (left ventricular ejection fraction >50%), and evidence of diastolic dysfunction obtained by echocardiographic Doppler examination, invasive hemodynamic evaluation, or an elevation of serum B-type natriuretic peptide. The most common risk factors for the development of diastolic dysfunction and DHF include long-standing hypertension, older age, female sex, obesity, diabetes, chronic kidney disease, and coronary artery disease. Acute decompensation occurs in the setting of pressure overload, volume overload, or superimposed cardiac ischemia. The cornerstones of in-hospital management include blood pressure and volume control, heart rate control, and correction of precipitating factors. Priorities in the outpatient clinic include optimal blood pressure control, maintenance of euvolemia with minimal or no diuretics, and, potentially, use of disease-modifying drugs including angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, aldosterone receptor blockers, beta-blockers, and digoxin. Long-term regression of left ventricular hypertrophy, improvement in diastolic filling parameters, and sustained reductions in B-type natriuretic peptide may be future treatment targets for this condition.

Hypertension is predictive of a wide variety of subsequent adverse events in elderly patients, at least up to the age of 80 years. Treatment can reduce these adverse outcomes, although the benefits in the very elderly remain somewhat unclear. In the very elderly, there appears to be a reduction in cardiovascular events, but this reduction is perhaps at the expense of an increase in overall mortality. Target BPs in the elderly remain controversial. Among patients who have not had previous stroke or significant cardiovascular or renal disease, the benefits of reducing the SBP below 159 mm Hg are well documented. There is some evidence to suggest, however, that if doing so increases the day-night difference in BP by more than 20% or is associated with a decline in DBP below 65 mm Hg, then the benefits of treatment may be attenuated or lost. In addition, there is some suggestion that reducing SBP consistently below 135 mm Hg may accelerate cognitive decline. There appears to be a role for sodium restriction in those who can comply without otherwise compromising nutrient intake. Likewise, exercise may be beneficial and have benefits beyond simply lowering BP. Weight loss in those who are overweight may also help in lowering the BP. For most patients, low-dose thiazides such as hydrochlorothiazide are likely to be the appropriate first-line therapy (even in patients who have diabetes) unless they exacerbate or precipitate urinary incontinence or gout or complicate concomitant drug therapy (eg, lithium treatment of bipolar disorder). In very elderly patients, the apparent beneficial effects on strokes, major cardiovascular events, and heart failure rates may justify treating despite lack of benefit on overall mortality.

Objective: This investigation was performed to study the prevalence of cerumen impaction and evaluate its impact on hearing and cognition in elderly patients admitted to a skilled nursing facility (SNF)., Design: Prospective clinical trial using a pretest-posttest design., Setting: A 160-bed skilled nursing facility., Subjects: Twenty-nine English-speaking residents over the age of 65 who were new admissions to a SNF., Intervention: Participants with cerumen that occluded 50% or more of the external auditory canal had cerumen removed with a cerumenolytic agent and tepid water irrigation., Measurements: A standardized Folstein Mini-Mental Status Exam (MMSE)(1) and audiometric evaluation were administered to all participants before and after cerumen removal. Participants who did not have cerumen impaction served as controls. Hearing changes were scored as "+1" for an improvement, "0" for no change and "-1" for a loss at each frequency tested. Results were compared using 2-tailed paired t tests., Results: Nineteen participants (65.5%) had cerumen in at least one ear. Following cerumen removal, hearing improved in 80% of impacted ears compared with 3% of nonimpacted ears (P < 0.001). The average change in hearing score following cerumen removal was 0.26 +/- 0.50 compared with an average change of 0 +/- 0.16 in the controls (P < 0.001). The average change in MMSE score was 1.05 +/- 1.6 for participants who had cerumen removed compared with -0.30 +/- 0.95 for the controls (P < 0.01)., Conclusions: This study found a majority of residents admitted to the SNF had cerumen impaction. Evaluation of hearing and mental status following removal of cerumen resulted in a statistically significant improvement in hearing and cognition when compared with controls. Removal of cerumen is a relatively safe and easy procedure that can be done at minimal cost and provide a significant benefit to residents of a SNF.

Objectives: To determine the carriage rate of Staphylococcus aureus (SA), both methicillin sensitive, and methicillin resistant (MRSA), among employees of a nursing home in the absence of an epidemic., Design: Observational study., Setting: A 210-bed suburban skilled nursing facility with a low endemic rate of SA infection., Participants: Seventy-three asymptomatic employees recruited in two waves., Measurement: Nasal swabs were cultured for SA; DNA strain typing was performed on MRSA isolates from the first wave of recruits., Results: 21 of 73 (29%) cultures were positive for SA. Ten of these 21 (14% of participating employees) had nasal carriage of MRSA. MRSA carriage was not significantly correlated with age, duration of employment, or job type (clinical vs. non-clinical), and DNA strain typing suggested that employee carriage of MRSA was not the result of a common source., Conclusions: Staphylococcus aureus nasal carriage is common among skilled nursing facility personnel, and MRSA accounts for a substantial proportion of SA carriage among employees, even in the absence of an epidemic. Further research is needed to determine whether the high SA carriage rates among employees reflects work place acquisition, and, if so, whether it poses a hazard to the employees. The low incidence of nosocomial MRSA infections around the time of the study suggests that with usual infection control practices (eg, hand washing), MRSA-colonized caregivers pose little risk to nursing facility residents.

1. A dayroom program focused intensively on functional needs and was implemented for confused geriatric inpatients who otherwise might have been restrained or required sitters. 2. There were fewer complications from hospitalization documented for dayroom patients. 3. There was an increase in family satisfaction regarding the nursing care provided for patients in the alternative environment.

The elderly are at increased risk for syncope not only because of physiologic changes due to aging but also because they have a higher incidence of chronic illness and use a greater number of medications that may cause orthostatic hypotension. Although evaluation should emphasize cardiovascular and neurologic components, the cause may remain elusive in as many as 50% of patients.

A decrease in cardiac parasympathetic tone is a recognized finding in patients with ischemic heart disease, sudden cardiac death and heart failure, correlating closely with disease severity and overall survival. To study the clinical potential of vagomimetic intervention, the effect of transdermal scopolamine on fluctuations in heart rate was studied in 32 healthy adult subjects using both time-domain (mean RR interval, standard deviation of the mean RR interval, mean of the differences between consecutive RR intervals) and frequency-domain measures (spectrum analysis of 128 consecutive RR intervals) of heart rate variability. After an exposure of 24 hours, transdermal scopolamine resulted in a significant increase in all indexes tested. The increase was most pronounced in the 0.25-Hz respiratory peak of the RR interval power spectrum, compatible with a strong vagomimetic mode of action of transdermal scopolamine. Results indicate that transdermal scopolamine may have potential merit as a selective vagotonic agent in certain patients with myocardial infarction, heart failure or ventricular arrhythmias.

Decreased heart rate (HR) variability has been shown to be an independent predictor of poor outcome after acute myocardial infarction. Presumably, both reduced parasympathetic activity and increased sympathetic activity contribute to this observed HR variability response. To elucidate the physiologic contributions of the sympathetic and parasympathetic nervous systems to HR variability, the effect of passive head-up tilt (+70 degrees) was investigated on 4 indexes of HR variability in 17 healthy subjects. The standard deviation of the mean of 512 consecutive RR intervals, a traditional marker of HR variability and a purported index of cardiac parasympathetic neural tone, was compared with the mean difference of 512 consecutive RR intervals, with the maximal expiratory RR interval to minimal inspiratory RR interval ratio (respiratory RR ratio) and with the low- and high-frequency components of the power spectrum of 512 consecutive RR intervals. Passive tilt produced a nonsignificant decrease in the standard deviation of RR intervals. There was, however, a highly significant decrease in the mean difference of consecutive RR intervals and the high-frequency component of the RR-interval spectrum. Both the respiratory RR ratio and the low-frequency component of the RR-interval spectrum increased with tilt. It was concluded that the mean difference of consecutive RR intervals and the high-frequency component of the RR-interval spectrum are potentially superior indexes of "pure" parasympathetic neural tone and may be preferable for future use in cardiovascular studies of autonomic dysfunction.

Catecholamines (norepinephrine, epinephrine, and dopamine) are released into circulation in response to stress and injury and as part of the body's attempt at vasoregulation in response to circulatory failure. Norepinephrine is released from sympathetic nerve terminal, and epinephrine and dopamine are released from the adrenal medulla. Plasma levels of these catecholamines have been reported to be elevated in various clinical settings: congestive heart failure, myocardial infarction, cardiopulmonary bypass, diabetic ketoacidosis, hypoxia, hemorrhage, and septic shock. These amines have both beneficial and detrimental effects on survival. Both norepinephrine and dopamine are often employed in the critically ill to selectively increase cardiocerebral and renal blood flow, respectively.

The authors studied the effect of intravenous infusion of atrial natriuretic peptide (ANP) on the plasma catecholamine and forearm vasoconstrictor responses to cardiopulmonary baroreflex deactivation in six normal, male volunteers in order to determine whether ANP influences reflex forearm vasoconstriction in humans. Unloading of low-pressure cardiopulmonary baroreceptors (CPBR) was accomplished by application of low levels (-10 and -20 mm Hg) of lower body negative pressure (LBNP). The authors measured the plasma norepinephrine (NE) and epinephrine, the mean arterial pressure (MAP), and the forearm vascular resistance (FVR) responses to reflex sympathetic activation by LBNP. ANP infusion (0.1 microgram.kg-1.min-1) decreased (p less than 0.01) basal MAP, as well as plasma renin activity and plasma aldosterone levels (p less than 0.05). ANP infusion also reduced (p less than 0.01) plasma NE responses to both levels of LBNP and tended to decrease both epinephrine and FVR during ANP infusion at -20 mm Hg LBNP (p = 0.8). These data suggest that exogenous ANP inhibits the reflex sympathetic responses that occur with CPBR unloading. The blunted plasma NE responses to CPBR unloading parallel the attenuation of FVR response to LBNP during ANP infusion, despite significant LBNP-induced hypotension.

To test the hypothesis that elderly patients with unexplained syncope have impaired autonomic control of heart rate, chronotropic responses to deep breathing and cough were studied in 12 elderly patients (85 +/- 4 years), 14 elderly control subjects (82 +/- 7 years) and 10 young subjects (26 +/- 5 years). There was no difference in resting RR interval between elderly patients with syncope and control subjects. However, the ratio of the maximum RR/minimum RR (an index of heart rate variability) during deep breathing was significantly lower in patients than in control subjects (p less than 0.005). In the minute following cough, there was no difference in initial reflex tachycardia, but subsequent rebound bradycardia was blunted in the elderly patients with syncope. The predominant impairment in elderly patients with unexplained syncope was the bradycardia component of the responses to deep breathing and cough, suggesting that these patients may have impaired parasympathetic modulation of heart rate. Although not likely to be the cause of syncope in these patients, these findings may reflect an underlying autonomic defect.