Relationship between gait speed and physical function in patients with symptomatic peripheral artery disease

OBJECTIVE: The aim of the study was to analyze the relationship between gait speed and measurements of physical function in patients with symptomatic peripheral artery disease (PAD). METHODS: One hundred sixty-nine patients (age 66.6±9.4 years) with symptomatic PAD were recruited. Usual and fast gait speeds were assessed with a 4-meter walk test. Objective (balance, sit-to-stand, handrip strength, and six-minute walk test) and subjective (WIQ – Walking Impairment Questionnaire and WELCH – Walking Estimated-Limitation Calculated by History) measurements of physical function were obtained. Crude and adjusted linear regression analyses were used to confirm significant associations. RESULTS: Usual and fast gait speeds were significantly correlated with all objective and subjective physical function variables examined (ro0.55, po0.05). In the multivariate model, usual gait speed was associated with six-minute walking distance (b=0.001, po0.001), sit-to-stand test score (b=-0.005, p=0.012), and WIQ stairs score (b=0.002, p=0.006) adjusted by age, ankle brachial index, body mass index, and gender. Fast gait speed was associated with six-minute walking distance (b=0.002, po0.001), WIQ stairs score (b=0.003, p=0.010), and WELCH total score (b=0.004, p=0.026) adjusted by age, ankle brachial index, body mass index, and gender. CONCLUSION: Usual and fast gait speeds assessed with the 4-meter test were moderately associated with objective and subjective measurements of physical function in symptomatic PAD patients

Relationship between gait speed and physical function in patients with symptomatic peripheral artery disease

OBJECTIVE: The aim of the study was to analyze the relationship between gait speed and measurements of physical function in patients with symptomatic peripheral artery disease (PAD). METHODS: One hundred sixty-nine patients (age 66.6±9.4 years) with symptomatic PAD were recruited. Usual and fast gait speeds were assessed with a 4-meter walk test. Objective (balance, sit-to-stand, handrip strength, and six-minute walk test) and subjective (WIQ – Walking Impairment Questionnaire and WELCH – Walking Estimated-Limitation Calculated by History) measurements of physical function were obtained. Crude and adjusted linear regression analyses were used to confirm significant associations. RESULTS: Usual and fast gait speeds were significantly correlated with all objective and subjective physical function variables examined (ro0.55, po0.05). In the multivariate model, usual gait speed was associated with six-minute walking distance (b=0.001, po0.001), sit-to-stand test score (b=-0.005, p=0.012), and WIQ stairs score (b=0.002, p=0.006) adjusted by age, ankle brachial index, body mass index, and gender. Fast gait speed was associated with six-minute walking distance (b=0.002, po0.001), WIQ stairs score (b=0.003, p=0.010), and WELCH total score (b=0.004, p=0.026) adjusted by age, ankle brachial index, body mass index, and gender. CONCLUSION: Usual and fast gait speeds assessed with the 4-meter test were moderately associated with objective and subjective measurements of physical function in symptomatic PAD patients

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Nocturnal oxyhemoglobin desaturation during sleep in congestive heart failure patients

Introduction: Sleep breathing disorders occur in 45% of patients with heart failure, with 36%50% manifesting Cheyne-Stokes respiration with central sleep apnea and 12% exhibiting obstructive sleep apnea. Several studies have shown that sleep pathophysiology may negatively affect the cardiovascular system and that cardiac dysfunction alters sleep and respiration. Objective: The aim of this study was to examine oxyhemoglobin desaturation during sleep in patients with congestive heart failure (CHF) using overnight pulse oximetry. Methods: Overnight pulse oximetry was conducted in the patients homes with wrist pulse oximeters and finger probes that were placed around the forefingers of 15 patients with CHF and ejection fractions less than 50%, who were classified as New York Heart Association functional classes II and III. Results: The patients were divided into two groups. The first group consisted of seven patients with oxyhemoglobin desaturation indices of over 5 events/h, and the second group contained eight patients with oxyhemoglobin desaturation indices of 5 or less events/h. Students t-tests did not show any significant differences between the groups. The patients body mass indices correlated positively with the total desaturation episodes and desaturation time less than 90% and correlated negatively with the arterial oxygen saturation nadir. Conclusion: Pulse oximetry monitoring during sleep can be used to detect sleep breathing disorders in stable patients with CHF

Nocturnal oxyhemoglobin desaturation during sleep in congestive heart failure patients

Abstract Introduction: Sleep breathing disorders occur in 45% of patients with heart failure, with 36%-50% manifesting Cheyne-Stokes respiration with central sleep apnea and 12% exhibiting obstructive sleep apnea. Several studies have shown that sleep pathophysiology may negatively affect the cardiovascular system and that cardiac dysfunction alters sleep and respiration. Objective: The aim of this study was to examine oxyhemoglobin desaturation during sleep in patients with congestive heart failure (CHF) using overnight pulse oximetry. Methods: Overnight pulse oximetry was conducted in the patients' homes with wrist pulse oximeters and finger probes that were placed around the forefingers of 15 patients with CHF and ejection fractions less than 50%, who were classified as New York Heart Association functional classes II and III. Results: The patients were divided into two groups. The first group consisted of seven patients with oxyhemoglobin desaturation indices of over 5 events/h, and the second group contained eight patients with oxyhemoglobin desaturation indices of 5 or less events/h. Student's t-tests did not show any significant differences between the groups. The patients' body mass indices correlated positively with the total desaturation episodes and desaturation time less than 90% and correlated negatively with the arterial oxygen saturation nadir. Conclusion: Pulse oximetry monitoring during sleep can be used to detect sleep breathing disorders in stable patients with CHF