SARS-CoV-2 virus, the causative agent of the coronavirus infectious disease-19 (COVID-19), is taking the globe by storm, approaching 500,000 confirmed cases and over 21,000 deaths as of March 25, ...2020. While under control in some affected Asian countries (Taiwan, Singapore, Vietnam), the virus demonstrated an exponential phase of infectivity in several large countries (China in late January and February and many European countries and the USA in March), with cases exploding by 30–50,000/day in the third and fourth weeks of March, 2020. SARS-CoV-2 has proven to be particularly deadly to older adults and those with certain underlying medical conditions, many of whom are of advanced age. Here, we briefly review the virus, its structure and evolution, epidemiology and pathogenesis, immunogenicity and immune, and clinical response in older adults, using available knowledge on SARS-CoV-2 and its highly pathogenic relatives MERS-CoV and SARS-CoV-1. We conclude by discussing clinical and basic science approaches to protect older adults against this disease.
Frailty: An Emerging Geriatric Syndrome Ahmed, Nasiya, MD; Mandel, Richard, MD; Fain, Mindy J., MD
The American journal of medicine,
09/2007, Volume:
120, Issue:
9
Journal Article
Peer reviewed
Abstract Frailty is a new and emerging syndrome in the field of geriatrics. The study of frailty may provide an explanation for the downward spiral of many elderly patients after an acute illness and ...hospitalization. The fact that frailty is not present in all elderly persons suggests that it is associated with aging but not an inevitable process of aging and may be prevented or treated. The purpose of this article is to review what is known about frailty, including the definition, epidemiology, and pathophysiology, and to examine potential areas of future research.
The rate of mortality and factors predicting worst outcomes in the geriatric population presenting with trauma are not well established. This study aimed to examine mortality rates in severe and ...extremely severe injured individuals 65 years or older and to identify the predictors of mortality based on available evidence in the literature.
We performed a systematic literature search on studies reporting mortality and severity of injury in geriatric trauma patients using MEDLINE, PubMed, and Web of Science.
An overall mortality rate of 14.8% (95% confidence interval CI, 9.8-21.7%) in geriatric trauma patients was observed. Increasing age and severity of injury were found to be associated with higher mortality rates in this patient population. Combined odds of dying in those older than 74 years was 1.67 (95% CI, 1.34-2.08) compared with the elderly population aged 65 years to 74 years. However, the odds of dying in patients 85 years and older compared with those of 75 years to 84 years was not different (odds ratio, 1.23; 95% CI, 0.99-1.52). A pooled mortality rate of 26.5% (95% CI, 23.4-29.8%) was observed in the severely injured (Injury Severity Score ISS ≥ 16) geriatric trauma patients. Compared with those with mild or moderate injury, the odds of mortality in severe and extremely severe injuries were 9.5 (95% CI, 6.3-14.5) and 52.3 (95% CI, 32.0-85.5; p ≤ 0.0001), respectively. Low systolic blood pressure had a pooled odds of 2.16 (95% CI, 1.59-2.94) for mortality.
Overall mortality rate among the geriatric population presenting with trauma is higher than among the adult trauma population. Patients older than 74 years experiencing traumatic injuries are at a higher risk for mortality than the younger geriatric group. However, the trauma-related mortality sustains the same rate after the age of 74 years without any further increase. Moreover, severe and extremely severe injuries and low systolic blood pressure at the presentation among geriatric trauma patients are significant risk factors for mortality.
Systematic review and meta-analysis, level IV.
The Frailty Index (FI) is a known predictor of adverse outcomes in geriatric patients. The usefulness of the FI as an outcome measure in geriatric trauma patients is unknown.
To assess the usefulness ...of the FI as an effective assessment tool in predicting adverse outcomes in geriatric trauma patients.
A 2-year (June 2011 to February 2013) prospective cohort study at a level I trauma center at the University of Arizona. We prospectively measured frailty in all geriatric trauma patients. Geriatric patients were defined as those 65 years or older. The FI was calculated using 50 preadmission frailty variables. Frailty in patients was defined by an FI of 0.25 or higher.
The primary outcome measure was in-hospital complications. The secondary outcome measure was adverse discharge disposition. In-hospital complications were defined as cardiac, pulmonary, infectious, hematologic, renal, and reoperation. Adverse discharge disposition was defined as discharge to a skilled nursing facility or in-hospital mortality. Multivariate logistic regression was used to assess the relationship between the FI and outcomes.
In total, 250 patients were enrolled, with a mean (SD) age of 77.9 (8.1) years, median Injury Severity Score of 15 (range, 9-18), median Glasgow Coma Scale score of 15 (range, 12-15), and mean (SD) FI of 0.21 (0.10). Forty-four percent (n = 110) of patients had frailty. Patients with frailty were more likely to have in-hospital complications (odds ratio, 2.5; 95% CI, 1.5-6.0; P = .001) and adverse discharge disposition (odds ratio, 1.6; 95% CI, 1.1-2.4; P = .001). The mortality rate was 2.0% (n = 5), and all patients who died had frailty.
The FI is an independent predictor of in-hospital complications and adverse discharge disposition in geriatric trauma patients. This index should be used as a clinical tool for risk stratification in this patient group.
Background The Frailty Index has been shown to predict discharge disposition in geriatric patients. The aim of this study was to validate the modified 15-variable Trauma-Specific Frailty Index (TSFI) ...to predict discharge disposition in geriatric trauma patients. We hypothesized that TSFI can predict discharge disposition in geriatric trauma patients. Study Design We performed a 2-year (2011–2013) prospective analysis of all geriatric trauma patients presenting to our Level I trauma center. Patient discharge disposition was dichotomized into unfavorable (discharge to skilled nursing facility or death) and favorable (discharge to home or rehabilitation center) discharge disposition. Patients were evaluated using the developed 15-variable TSFI. Multivariate logistic regression was performed to identify factors that predict unfavorable discharge disposition. Results A total of 200 patients were enrolled for validation of TSFI. Mean age was 77 ± 12.1 years, median Injury Severity Score was 15 (interquartile range IQR 9 to 20), median Glasgow Coma Scale score was 14 (IQR 13 to 15), and median Frailty Index score was 0.20 (IQR 0.17 to 0.28); 29.5% (n = 59) patients had unfavorable discharge. After adjusting for age, sex, Injury Severity Score, Head Abbreviated Injury Scale, and vitals on admission, Frailty Index (odds ratio = 1.5; 95% CI, 1.1–2.5) was the only significant predictor for unfavorable discharge disposition. Age (odds ratio = 1.2; 95% CI, 0.9–3.1; p = 0.2) was not predictive of unfavorable discharge disposition. Conclusions The 15-variable TSFI is an independent predictor of unfavorable discharge disposition in geriatric trauma patients. The Trauma-Specific Frailty Index is an effective tool that can aid clinicians in planning discharge disposition of geriatric trauma patients. Level of Evidence II Prognostic Studies−Investigating the Effect of a Patient Characteristic on the Outcome of Disease.
Failure to rescue (FTR) is considered as an index of quality of care provided by a hospital. However, the role of frailty in FTR remains unclear. We hypothesized that the FTR rate is higher for frail ...geriatric emergency general surgery (EGS) patients than nonfrail geriatric EGS patients.
We performed a 3-y (2015-2017) prospective cohort study of all geriatric patients (age ≥ 65 y) requiring EGS. Frailty was calculated by using the EGS-specific Frailty Index (EGSFI) within 24 h of admission. Patients were divided into two groups: frail (FI ≥ 0.325) and nonfrail (FI < 0.325). We defined FTR as death from a major complication. Regression analysis was performed to control for demographics, type of operative intervention, admission vitals, and admission laboratory values.
Three hundred twenty-six geriatric EGS patients were included, of which 38.9% were frail. Frail patients were more likely to be white (P < 0.01) and, on admission, had a higher American Association of Anesthesiologist class (P = 0.03) and lower serum albumin (P < 0.01). However, there was no difference between the groups regarding age (P = 0.54), gender (P = 0.56), admission vitals, and WBC count (P = 0.35). Overall, 26.7% (n = 85) of patients developed in-hospital complications; and mortality occurred in 30% (n = 26) of those patients (i.e., the FTR group). Frail patients had higher rates of FTR (14% vs. 4%, P < 0.001) than nonfrail patients. On regression analysis, after controlling for confounders, frail status was an independent predictor of FTR (OR: 3.4 2.3-4.6) in geriatric EGS patients.
Our study demonstrates that in geriatric EGS patients, a frail status independently contributes to FTR and increases the odds of FTR threefold compared with nonfrail status. Thus, it should be included in quality metrics for geriatric EGS patients.
In this article, we propose mmPose-FK, a novel millimeter wave (mmWave) radar-based pose estimation method that employs a dynamic forward kinematics (FKs) approach to address the challenges posed by ...low resolution, specularity, and noise artifacts commonly associated with mmWave radars. These issues often result in unstable joint poses that vibrate over time, reducing the effectiveness of traditional pose estimation techniques. To overcome these limitations, we integrate the FK mechanism into the deep learning model and develop an end-to-end solution driven by data. Our comprehensive experiments using various matrices and benchmarks highlight the superior performance of mmPose-FK, especially when compared to our previous research methods. The proposed method provides more accurate pose estimation and ensures increased stability and consistency, which underscores the continuous improvement of our methodology, showcasing superior capabilities over its antecedents. Moreover, the model can output joint rotations and human bone lengths, which could be further utilized for various applications such as gait parameter analysis and height estimation. This makes mmPose-FK a highly promising solution for a wide range of applications in the field of human pose estimation and beyond.
It has been more than two decades since the passage of the Patient Self-Determination Act (PSDA) of 1991, an act that requires many medical points of care, including emergency departments (EDs), to ...provide information to patients about advance directives (ADs).
The study objective was to determine the prevalence of ADs among ED patients with a focus on older adults and factors associated with rates of completion.
We searched PubMed, Embase, PsycINFO, CINAHL, Web of Science, Medline, and the Cochrane Library. Articles were selected according to the following criteria: (1) population: adult ED patients; (2) outcome measures: quantitative prevalence data pertaining to ADs and factors associated with completion of an AD; (3) location: EDs in the United States; and (4) date: published 1991 or later.
Of the 258 references retrieved as a result of our search, six studies met inclusion criteria. Rates of patient-reported AD completion ranged from 21% to 53%, while ADs were available to ED personnel for 1% to 44% of patients. Patients aged ≥65 years had ADs 21% to 46% of the time. Sociodemographics (e.g., older age, specific religion, white or African American race, being widowed, or having children) and health status related variables (e.g., poor health, institutionalization, and having a primary care provider) were associated with greater likelihood of having an AD.
Published rates of AD completion vary widely among patients presenting to U.S. EDs. Patient sociodemographic and health status factors are associated with increased rates of AD completion, though rates are low for all populations.
The frailty index (FI) has been shown to predict outcomes in geriatric patients. However, FI has never been applied as a prognostic measure after trauma. The aim of our study was to identify hospital ...admission factors predicting discharge disposition in geriatric trauma patients.
We performed a 1-year prospective study at our Level 1 trauma center. All trauma patients 65 years or older were enrolled. FI was calculated using 50 preadmission variables. Patient's discharge disposition was dichotomized as favorable outcome (discharge home, rehabilitation) or unfavorable outcomes (discharge to skilled nursing facility, death). Multivariate logistic regression was performed to identify factors that predict unfavorable outcome.
A total of 100 patients were enrolled, with a mean (SD) age of 76.51 (8.5) years, 59% being males, median Injury Severity Score (ISS) of 14 (range, 9-18), median head Abbreviated Injury Scale (h-AIS) score of 2 (2-3), and median Glasgow Coma Scale (GCS) score of 13 (12-15). Of the patients, 69% had favorable outcome, and 31% had unfavorable outcome. On univariate analysis, FI was found to be a significant predictor for unfavorable outcome (odds ratio, 1.8; 95% confidence interval, 1.2-2.3). After adjusting for age, ISS, and GCS score in a multivariate regression model, FI remained a strong predictor for unfavorable discharge disposition (odds ratio, 1.3; 95% confidence interval, 1.1-1.8).
The concept of frailty can be implemented in geriatric trauma patients with similar results as those of nontrauma and nonsurgical patients. FI is a significant predictor of unfavorable discharge disposition and should be an integral part of the assessment tools to determine discharge disposition for geriatric trauma patients.
Prognostic study, level II.
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