scholarly journals Key factor cutoffs and interval reference values for stratified fall risk assessment in community-dwelling older adults: the role of physical fitness, body composition, physical activity, health condition, and environmental hazards

2021 ◽  
Vol 21 (S2) ◽  
Author(s):  
Catarina Pereira ◽  
Guida Veiga ◽  
Gabriela Almeida ◽  
Ana Rita Matias ◽  
Ana Cruz-Ferreira ◽  
...  
Keyword(s):  
Older Adults ◽  
High Risk ◽  
Physical Fitness ◽  
Reference Values ◽  
Fall Risk ◽  
Community Dwelling ◽  
Low Risk ◽  
Moderate Risk ◽  
Community Dwelling Older Adults ◽  
Very High

Abstract Background Fall risk assessment and determination of older adults’ individual risk profiles are crucial elements in fall prevention. As such, it is essential to establish cutoffs and reference values for high and low risk according to key risk factor outcomes. This study main objective was to determine the key physical fitness, body composition, physical activity, health condition and environmental hazard risk outcome cutoffs and interval reference values for stratified fall risk assessment in community-dwelling older adults. Methods Five-hundred community-dwelling Portuguese older adults (72.2 ± 5.4 years) were assessed for falls, physical fitness, body composition, physical (in) activity, number of health conditions and environmental hazards, and sociodemographic characteristics. Results The established key outcomes and respective cutoffs and reference values used for fall risk stratification were multidimensional balance (low risk: score > 33, moderate risk: score 32–33, high risk: score 30–31, and very high: score < 30); lean body mass (low risk: > 44 kg, moderate risk: 42–44 kg, high risk: 39–41 kg, and very high: < 39 kg); fat body mass (low risk: < 37%, moderate risk: 37–38%, high risk: 39–42%, and very high: > 42%); total physical activity (low risk: > 2800 Met-min/wk., moderate risk: 2300–2800 Met-min/wk., high risk: 1900–2300 Met-min/wk., and very high: < 1900 Met-min/wk); rest period weekdays (low risk: < 4 h/day, moderate risk: 4–4.4 h/day, high risk: 4.5–5 h/day, and very high: > 5 h/day); health conditions (low risk: n < 3, moderate risk: n = 3, high risk: n = 4–5, and very high: n > 5); and environmental hazards (low risk: n < 5, moderate risk: n = 5, high risk: n = 6–8, and very high: n > 8). Conclusions Assessment of community-dwelling older adults’ fall risk should focus on the above outcomes to establish individual older adults’ fall risk profiles. Moreover, the design of fall prevention interventions should manage a person’s identified risks and take into account the determined cutoffs and respective interval values for fall risk stratification.

scholarly journals Dynamic Performance-exposure Algorithm for Falling Risk Assessment and Fall Prevention in Community-dwelling Older Adults

2021 ◽  
Author(s):  
Catarina Pereira ◽  
Hugo Rosado ◽  
Gabriela Almeida ◽  
Jorge Bravo
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
High Risk ◽  
Fall Prevention ◽  
Dynamic Performance ◽  
Community Dwelling ◽  
Low Risk ◽  
Falling Risk ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

Abstract Background: Several models and algorithms were designed to identify older adults at risk of falling supported on an intrinsically and extrinsically traditional approach. However, the dynamic interaction between multiple risk factors for falls must be considered. The present study aimed to design a dynamic performance-exposure algorithm for falling risk assessment and fall prevention in community-dwelling older adults.Methods: The study involved 1) a cross-sectional survey assessing retrospective falls, performance-related risk factors for falls (sociodemographic such as gender and age, cognitive, health conditions, body composition, physical fitness, and dual-task outcomes), exposure risk factors (environmental hazards and (in)physical activity), and performance-exposure risk factors (affordance perception), and 2) follow-up survey assessing prospective falls. Participants were Portuguese community dwellings (≥ 65 years). Data were reported based upon descriptive statistics, curve estimation regression, binary logistic regression, and ROC curve.Results: The selected and ordered outcomes included in the algorithm and respective cutoffs were: (1) falls in previous year (high risk: n>1, moderated: n=1, low risk: n=0); (2) health conditions (high risk: n >3, moderated: n=3, low risk: n<3); (3) multidimensional balance (high risk: score <32 points, moderated risk: 32 points ≤ score ≤33 points, low risk: score>33); (4) lower body strength (high risk: rep/30s< 11, moderated risk: 11≤ rep/30s ≤14, low risk: rep/30s >4); (5) perceiving action boundaries (high risk: overestimation bias, moderated risk: not applied, low risk: underestimation bias); (6) fat body mass (high risk: % fat >38, moderated risk: 37≤ % fat ≤38, low risk: % fat <7); (7) environmental hazards (high risk: n>5, moderated risk: n=5, low risk: n<5); (8) rest period (high risk: hours/day >4.5, moderated risk: 4≤ hours/day ≤4.5, low risk: hours/day <4); (9) physical activity metabolic expenditure (high risk: MET-min/week <2300 or >5200, moderated risk: 2300≤ MET-min/week <2800, low risk: 2800≤ MET-min/week ≤5200).Conclusions: Results demonstrated a dynamic relationship between older adults’ performance capacity and the exposure to falls opportunity, supporting the build algorithm’s conceptual framework. Fall prevention measures should consider the above factors that most contribute to the individual risk of falling, relative weights, and their distance from low-risk value, as proposed in the dynamic algorithm.

Identification of Optimal Foot Tactile Sensation Threshold for Detecting Fall Risk Among Community-Dwelling Older Adults

2021 ◽  
Author(s):  
Feng Yang
Keyword(s):  
Older Adults ◽  
High Risk ◽  
Fall Risk ◽  
Community Dwelling ◽  
Sensory Loss ◽  
Tactile Sensitivity ◽  
Regression Analyses ◽  
Risk Of Falls ◽  
Logistical Regression ◽  
Community Dwelling Older Adults

Abstract Objective Foot tactile sensitivity loss, commonly assessed by monofilaments, is a fall risk factor among older adults. The broadly used threshold of the monofilament for fall risk assessment in older adults is 5.07. However, this threshold originates from assessing foot ulceration risk in people with peripheral neuropathy. The primary purpose of this study was to identify the optimal filament size and its cutoff number of sensitive sites that can be used to best identify a high risk of falls in terms of the foot tactile sensitivity for community-dwelling older adults. Methods In this cross-sectional study, the foot tactile sensitivity was assessed by a 6-piece Semmes-Weinstein monofilament kit at 9 sites per foot among 94 older adults, including 38 fallers and 56 nonfallers. The number of sensitive sites was determined for each monofilament size as the cutoff. Logistical regression analyses were used to determine the monofilament size and number of sensitive sites best able to differentiate fallers from nonfallers. Results Fallers showed overall worse foot tactile sensory measurements than nonfallers. Logistical regression analyses identified 4.31 as the best monofilament size and 7 as the number of sensitive sites to differentiate fallers from nonfallers with an accuracy of 72.3%. Conclusion The 4.31 monofilament could be the best filament to detect the risk of falls among older adults in terms of tactile sensory loss. Inability to feel the pressure from the 4.31 filament at more than 7 sites could indicate a high risk of falls. Impact These findings could help physical therapists and other rehabilitation professionals improve decision making in detecting older adults with a high risk of falls, thus facilitating the effort of fall prevention in older adults.

scholarly journals Proposal for the use of echocardiography in bloodstream infections due to different streptococcal species

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sandra Chamat-Hedemand ◽  
Niels Eske Bruun ◽  
Lauge Østergaard ◽  
Magnus Arpi ◽  
Emil Fosbøl ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
High Risk ◽  
Blood Culture ◽  
Positive Blood Culture ◽  
Bloodstream Infections ◽  
Low Risk ◽  
Moderate Risk ◽  
Streptococcal Species ◽  
Very High

Abstract Background Infective endocarditis (IE) is diagnosed in 7–8% of streptococcal bloodstream infections (BSIs), yet it is unclear when to perform transthoracic (TTE) and transoesophageal echocardiography (TOE) according to different streptococcal species. The aim of this sub-study was to propose a flowchart for the use of echocardiography in streptococcal BSIs. Methods In a population-based setup, we investigated all patients admitted with streptococcal BSIs and crosslinked data with nationwide registries to identify comorbidities and concomitant hospitalization with IE. Streptococcal species were divided in four groups based on the crude risk of being diagnosed with IE (low-risk < 3%, moderate-risk 3–10%, high-risk 10–30% and very high-risk > 30%). Based on number of positive blood culture (BC) bottles and IE risk factors (prosthetic valve, previous IE, native valve disease, and cardiac device), we further stratified cases according to probability of concomitant IE diagnosis to create a flowchart suggesting TTE plus TOE (IE > 10%), TTE (IE 3–10%), or “wait & see” (IE < 3%). Results We included 6393 cases with streptococcal BSIs (mean age 68.1 years [SD 16.2], 52.8% men). BSIs with low-risk streptococci (S. pneumoniae, S. pyogenes, S. intermedius) are not initially recommended echocardiography, unless they have ≥3 positive BC bottles and an IE risk factor. Moderate-risk streptococci (S. agalactiae, S. anginosus, S. constellatus, S. dysgalactiae, S. salivarius, S. thermophilus) are guided to “wait & see” strategy if they neither have a risk factor nor ≥3 positive BC bottles, while a TTE is recommended if they have either ≥3 positive BC bottles or a risk factor. Further, a TTE and TOE are recommended if they present with both. High-risk streptococci (S. mitis/oralis, S. parasanguinis, G. adiacens) are directed to a TTE if they neither have a risk factor nor ≥3 positive BC bottles, but to TTE and TOE if they have either ≥3 positive BC bottles or a risk factor. Very high-risk streptococci (S. gordonii, S. gallolyticus, S. mutans, S. sanguinis) are guided directly to TTE and TOE due to a high baseline IE prevalence. Conclusion In addition to the clinical picture, this flowchart based on streptococcal species, number of positive blood culture bottles, and risk factors, can help guide the use of echocardiography in streptococcal bloodstream infections. Since echocardiography results are not available the findings should be confirmed prospectively with the use of systematic echocardiography.

scholarly journals Multisensory integration involved in the body perception of community-dwelling older adults

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Hide ◽  
Y. Ito ◽  
N. Kuroda ◽  
M. Kanda ◽  
W. Teramoto
Keyword(s):  
Older Adults ◽  
Multisensory Integration ◽  
Fall Risk ◽  
Community Dwelling ◽  
The Body ◽  
Risk Of Falling ◽  
Body Perception ◽  
Rubber Hand ◽  
Timed Up And Go ◽  
Community Dwelling Older Adults

AbstractThis study investigates how the multisensory integration in body perception changes with increasing age, and whether it is associated with older adults’ risk of falling. For this, the rubber hand illusion (RHI) and rubber foot illusion (RFI) were used. Twenty-eight community-dwelling older adults and 25 university students were recruited. They viewed a rubber hand or foot that was stimulated in synchrony or asynchrony with their own hidden hand or foot. The illusion was assessed by using a questionnaire, and measuring the proprioceptive drift and latency. The Timed Up and Go Test was used to classify the older adults into lower and higher fall-risk groups. No difference was observed in the RHI between the younger and older adults. However, several differences were observed in the RFI. Specifically, the older adults with a lower fall-risk hardly experienced the illusion, whereas those with a higher fall-risk experienced it with a shorter latency and no weaker than the younger adults. These results suggest that in older adults, the mechanism of multisensory integration for constructing body perception can change depending on the stimulated body parts, and that the risk of falling is associated with multisensory integration.

scholarly journals Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment Instrument-Home Care: Prospective Observational Study (Preprint)

2018 ◽  
Author(s):  
Yang Yang ◽  
John P Hirdes ◽  
Joel A Dubin ◽  
Joon Lee
Keyword(s):  
Older Adults ◽  
Fall Risk ◽  
Prospective Observational Study ◽  
Risk Classification ◽  
Community Dwelling ◽  
Assessment Instrument ◽  
Classification Models ◽  
Resident Assessment ◽  
Community Dwelling Older Adults ◽  
Resident Assessment Instrument

BACKGROUND  Little is known about whether off-the-shelf wearable sensor data can contribute to fall risk classification or complement clinical assessment tools such as the Resident Assessment Instrument-Home Care (RAI-HC). OBJECTIVE  This study aimed to (1) investigate the similarities and differences in physical activity (PA), heart rate, and night sleep in a sample of community-dwelling older adults with varying fall histories using a smart wrist-worn device and (2) create and evaluate fall risk classification models based on (i) wearable data, (ii) the RAI-HC, and (iii) the combination of wearable and RAI-HC data. METHODS  A prospective, observational study was conducted among 3 faller groups (G0, G1, G2+) based on the number of previous falls (0, 1, ≥2 falls) in a sample of older community-dwelling adults. Each participant was requested to wear a smart wristband for 7 consecutive days while carrying out day-to-day activities in their normal lives. The wearable and RAI-HC assessment data were analyzed and utilized to create fall risk classification models, with 3 supervised machine learning algorithms: logistic regression, decision tree, and random forest (RF). RESULTS  Of 40 participants aged 65 to 93 years, 16 (40%) had no previous falls, whereas 8 (20%) and 16 (40%) had experienced 1 and multiple (≥2) falls, respectively. Level of PA as measured by average daily steps was significantly different between groups (P=.04). In the 3 faller group classification, RF achieved the best accuracy of 83.8% using both wearable and RAI-HC data, which is 13.5% higher than that of using the RAI-HC data only and 18.9% higher than that of using wearable data exclusively. In discriminating between {G0+G1} and G2+, RF achieved the best area under the receiver operating characteristic curve of 0.894 (overall accuracy of 89.2%) based on wearable and RAI-HC data. Discrimination between G0 and {G1+G2+} did not result in better classification performance than that between {G0+G1} and G2+. CONCLUSIONS  Both wearable data and the RAI-HC assessment can contribute to fall risk classification. All the classification models revealed that RAI-HC outperforms wearable data, and the best performance was achieved with the combination of 2 datasets. Future studies in fall risk assessment should consider using wearable technologies to supplement resident assessment instruments.

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