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Zhang X, Lu H, Fan M, Tian W, Cui M, Jiang Y, Suo C, Zhang T, Xu K, Wang Y, Chen X. Mobility-related brain regions linking carotid intima-media thickness to specific gait performances in old age. BMC Geriatr 2024; 24:303. [PMID: 38561655 PMCID: PMC10983675 DOI: 10.1186/s12877-024-04918-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/25/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Gait disturbance is common in older adults with vascular diseases. However, how carotid atherosclerosis affects gait remains poorly understood. The objectives were to investigate the associations between carotid intima-media thickness and specific gait performances and explore the potential role of brain structure in mediating these associations. METHODS A cross-sectional analysis of data from the Taizhou Imaging Study was conducted, including 707 individuals who underwent both gait and carotid ultrasound examinations. Gait assessments include the Timed-Up-and-Go test, the Tinetti test, and quantitative gait assessment using a wearable device. Quantitative parameters were summarized into independent gait domains with factor analysis. Magnetic resonance images were obtained on a 3.0-Tesla scanner, and the volumes of fifteen brain regions related to motor function (primary motor, sensorimotor), visuospatial attention (inferior posterior parietal lobules, superior posterior parietal lobules), executive control function (dorsolateral prefrontal cortex, anterior cingulate), memory (hippocampus, entorhinal cortex), motor imagery (precuneus, parahippocampus, posterior cingulated cortex), and balance (basal ganglia: pallidum, putamen, caudate, thalamus) were computed using FreeSurfer and the Desikan-Killiany atlas. Mediation analysis was conducted with carotid intima-media thickness as the predictor and mobility-related brain regions as mediators. RESULTS Carotid intima-media thickness was found to be associated with the Timed-Up-and-Go performance (β = 0.129, p = 0.010) as well as gait performances related to pace (β=-0.213, p < 0.001) and symmetry (β = 0.096, p = 0.045). Besides, gait performances were correlated with mobility-related brain regions responsible for motor, visuospatial attention, executive control, memory, and balance (all FDR < 0.05). Notably, significant regions differed depending on the gait outcomes measured. The primary motor (41.9%), sensorimotor (29.3%), visuospatial attention (inferior posterior parietal lobules, superior posterior parietal lobules) (13.8%), entorhinal cortex (36.4%), and motor imagery (precuneus, parahippocampus, posterior cingulated cortex) (27.3%) mediated the association between increased carotid intima-media thickness and poorer Timed-Up-and-Go performance. For the pace domain, the primary motor (37.5%), sensorimotor (25.8%), visuospatial attention (12.3%), entorhinal cortex (20.7%), motor imagery (24.9%), and balance (basal ganglia: pallidum, putamen, caudate, thalamus) (11.6%) acted as mediators. CONCLUSIONS Carotid intima-media thickness is associated with gait performances, and mobility-related brain volume mediates these associations. Moreover, the distribution of brain regions regulating mobility varies in the different gait domains. Our study adds value in exploring the underlying mechanisms of gait disturbance in the aging population.
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Grants
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
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Affiliation(s)
- Xin Zhang
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Heyang Lu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Mei Cui
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Chen Suo
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Tiejun Zhang
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kelin Xu
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
| | - Yingzhe Wang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
| | - Xingdong Chen
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China.
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Liu X, Chen S, Liu C, Dang X, Wei M, Xin X, Gao J. Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis. Ren Fail 2023; 45:2182608. [PMID: 36856312 PMCID: PMC9980417 DOI: 10.1080/0886022x.2023.2182608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
This study investigated the prevalence of falls in maintenance hemodialysis (MHD) patients, and established a nomogram model for evaluating the fall risk of MHD patients. This study enrolled 303 MHD patients from the dialysis department of a tertiary hospital in July 2021. The general data of the participants, as well as the scores on the FRAIL scale, Sarcopenia Screening Questionnaire (SARC-F), Short Physical Performance Battery (SPPB) Scale, and of anxiety and depression, and the occurrence of falls were recorded. Using R language, data were assigned to the training set (n = 212) and test set (n = 91), and a logistic regression model was established. The regression model was verified by the receiver operating characteristic (ROC) curve, area under the curve (AUC), and the calibration curve. As a result, the prevalence of falls in MHD patients was 20.46%. Risk factors for falls in the optimal multivariate logistic regression model included hearing impairment, the depression score, and the SPPB score, of which a higher depression score (odds ratio (OR): 1.28, 95% confidence interval (CI): 1.09-1.49, p = 0.002) and SPPB ≤ 6 (ORvsSPPB9-12: 3.69, 95% CI: 1.04-13.14, p = 0.043) conferred independent risk for falls. AUC of the nomogram in the training was 0.773, which in the test group was 0.663. The calibration and standard curves were fitted closely, indicated that the evaluation ability of the model was good. Thus, a higher depression score and SPPB ≤ 6 are independent risk factors for falls in MHD patients, and the nomogram with good accuracy and discrimination that was established in this study has clinical application value.
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Affiliation(s)
- Xiaomin Liu
- Department of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of China
| | - Sijie Chen
- Medical School of Yan'an University, Xi'an, People’s Republic of China
| | - Caifei Liu
- Medical School of Yan'an University, Xi'an, People’s Republic of China
| | - Xilong Dang
- Department of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of China
| | - Meng Wei
- Department of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of China
| | - Xia Xin
- Nursing Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of China
| | - Julin Gao
- Department of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of China,CONTACT Julin Gao Department of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of China
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3
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Ho JQ, Verghese J, Abramowitz MK. Serum bicarbonate levels and gait abnormalities in older adults: a cross-sectional study. Sci Rep 2022; 12:9171. [PMID: 35654910 PMCID: PMC9163170 DOI: 10.1038/s41598-022-12907-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 05/18/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolic acidosis is associated with impaired physical function in patients with chronic kidney disease (CKD) and older adults. However, whether acidosis is associated with gait abnormalities has received little attention. In a cohort of 323 community-dwelling adults ≥ 65 years old who underwent quantitative gait analysis, we examined associations of serum bicarbonate with eight individual gait variables. After multivariable adjustment, participants in the lowest bicarbonate tertile (< 25 mEq/L) had 8.6 cm/s slower speed (95% confidence interval [CI] 3.2–13.9), 7.9 cm shorter stride length (95% CI 3.5–12.2), and 0.03 s longer double support time (95% CI 0.002–0.1) compared with those in the middle tertile (25–27 mEq/L). Furthermore, lower bicarbonate levels were associated with more severe gait abnormalities in a graded manner. After further adjustment for possible mediating factors, associations were attenuated but remained significant. Among participants with CKD, associations were of similar or greater magnitude compared with those without CKD. Factor analysis was performed to synthesize the individual gait variables into unifying domains: among the pace, rhythm, and variability domains, lower serum bicarbonate was associated with worse performance in pace. In sum, lower serum bicarbonate was independently associated with worse performance on several quantitative measures of gait among older adults.
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Affiliation(s)
- Jim Q Ho
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, 10461, USA
| | - Joe Verghese
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, 10461, USA.,Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.,Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Matthew K Abramowitz
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, 10461, USA. .,Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA. .,Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY, USA. .,Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine, Bronx, NY, USA.
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4
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Kimura A, Paredes W, Pai R, Farooq H, Buttar RS, Custodio M, Munugoti S, Kotwani S, Randhawa LS, Dalezman S, Elters AC, Nam K, Ibarra JS, Venkataraman S, Abramowitz MK. Step length and fall risk in adults with chronic kidney disease: a pilot study. BMC Nephrol 2022; 23:74. [PMID: 35193493 PMCID: PMC8862327 DOI: 10.1186/s12882-022-02706-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 02/10/2022] [Indexed: 11/25/2022] Open
Abstract
Background Patients with chronic kidney disease commonly experience gait abnormalities, which predispose to falls and fall-related injuries. An unmet need is the development of improved methods for detecting patients at high risk of these complications, using tools that are feasible to implement in nephrology practice. Our prior work suggested step length could be such a marker. Here we explored the use of step length as a marker of gait impairment and fall risk in adults with chronic kidney disease. Methods We performed gait assessments in 2 prospective studies of 82 patients with stage 4 and 5 chronic kidney disease (n = 33) or end-stage renal disease (ESRD) (n = 49). Gait speed and step length were evaluated during the 4-m walk component of the Short Physical Performance Battery (SPPB). Falls within 6 months prior to or following enrollment were identified by questionnaire. Associations of low step length (≤47.2 cm) and slow gait speed (≤0.8 m/s) with falls were examined using logistic regression models adjusted for demographics and diabetes and peripheral vascular disease status. Results Assessments of step length were highly reproducible (r = 0.88, p < 0.001 for duplicate measurements at the same visit; r = 0.78, p < 0.001 between baseline and 3-month evaluations). Patients with low step length had poorer physical function, including lower SPPB scores, slower gait speed, and lower handgrip strength. Although step length and gait speed were highly correlated (r = 0.73, p < 0.001), one-third (n = 14/43) of patients with low step length did not have slow gait speed. Low step length and slow gait speed were each independently associated with the likelihood of falls (odds ratio (OR) 3.90 (95% confidence interval (CI) 1.05–14.60) and OR 4.25 (95% CI 1.24–14.58), respectively). Compared with patients who exhibited neither deficit, those with both had a 6.55 (95% CI 1.40–30.71) times higher likelihood of falls, and the number of deficits was associated with a graded association with falls (p trend = 0.02). Effect estimates were similar after further adjustment for ESRD status. Conclusions Step length and gait speed may contribute additively to the assessment of fall risk in a general adult nephrology population.
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Affiliation(s)
- Atsumi Kimura
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - William Paredes
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Rima Pai
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Hina Farooq
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Rupinder S Buttar
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Matthew Custodio
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Samhitha Munugoti
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Sonia Kotwani
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Lovepreet S Randhawa
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Solomon Dalezman
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Antonio C Elters
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Kate Nam
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Jose S Ibarra
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Sandheep Venkataraman
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA
| | - Matthew K Abramowitz
- Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 615, Bronx, NY, USA. .,Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA. .,Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY, USA. .,Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
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5
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Zemp DD, Giannini O, Quadri P, Rabuffetti M, Tettamanti M, de Bruin ED. Gait disorders in CKD patients: muscle wasting or cognitive impairment? A cross-sectional pilot study to investigate gait signatures in Stage 1-5 CKD patients. BMC Nephrol 2022; 23:72. [PMID: 35189838 PMCID: PMC8862207 DOI: 10.1186/s12882-022-02697-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 01/27/2022] [Indexed: 02/03/2023] Open
Abstract
Background Instrumental gait analysis in nephrology is widely neglected, although patients with chronic kidney disease (CKD) show brain changes due to cerebrovascular disease and metabolic disorders that can potentially influence gait quality. Our study assesses the association between CKD stages and gait parameters, to understand the prevalent status of brain related gait parameters (i.e. variability) and of performance related parameters (i.e. gait speed, stride length). We hypothesize that gait changes are detectable already in early stages of CKD. Methods Forty-five participants distributed in 5 CKD severity groups underwent an instrumental gait analysis via a triaxial accelerometer affixed to the lower trunk under single- and dual-task conditions. In addition to spatio-temporal parameters, variability and dual-task cost of gait were extracted. A battery of clinical assessments was conducted with the aim of helping to better explain the findings of the gait analysis. A correlation analysis was made to investigate a linear relation between gait parameters and CKD severity. Results Statistically significant correlations (Pearson correlation coefficient) with CKD severity were found for gait speed (p < 0.01, r = -0.55, 95% CI [-0.73;-0.30]), stride length ( p < 0.01, r = -0.40, 95% CI [-0.62;-0.12]), step length (p < 0.01, r = -0.41, 95% CI [-0.63;-0.13], coefficient of variance (CV) of step length (p = 0.01, r = 0.36, 95% CI [0.08;0.59]), gait regularity (p < 0.01, r = -0.38, 95% CI [-0.61;-0.10]), dual-task cost of gait speed (p < 0.01, r = 0.40, 95% CI [0.13;0.62]) and dual-task cost of stride time (p = 0.03, r = 0.32, 95% CI [0.03;0.57]). Adjustment for age and gender confirmed all results except for gait regularity. With increasing severity of renal failure, Handgrip strength, Time for the Expanded Timed Get Up and Go test, executive functions, haemoglobin, and haematocrit, worsen. Conclusions The correlation of CKD severity with spatio-temporal parameters (performance indices mainly relatable to peripheral functionality) and with variability of gait (related to central factors) supported by the results of the clinical assessments, suggests that gait disturbance in CKD patients is not only due to metabolic factors that lead to muscle wasting, but also to brain changes that affect motor control. This suggests that the treatment of renal disease should include cognitive aspects in addition to metabolic and functional factors. Supplementary Information The online version contains supplementary material available at 10.1186/s12882-022-02697-8.
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Affiliation(s)
- Damiano D Zemp
- Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.,Geriatric Service, Ospedale Regionale di Mendrisio, EOC, Mendrisio, Switzerland
| | - Olivier Giannini
- Department of Medicine, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.,Division of Nephrology, Ente Ospedaliero Cantonale, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland
| | - Pierluigi Quadri
- Geriatric Service, Ospedale Regionale di Mendrisio, EOC, Mendrisio, Switzerland.,Department of Medicine, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | | | - Mauro Tettamanti
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Eling D de Bruin
- Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland. .,Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden. .,OST - Eastern Swiss University of Applied Sciences, Department of Health, St. Gallen, Switzerland.
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Instrumented and Standard Measures of Physical Performance in Adults With Chronic Kidney Disease. JOURNAL OF ACUTE CARE PHYSICAL THERAPY 2021. [DOI: 10.1097/jat.0000000000000179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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7
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Dommershuijsen LJ, Isik BM, Darweesh SKL, van der Geest JN, Ikram MK, Ikram MA. Unraveling the Association Between Gait and Mortality-One Step at a Time. J Gerontol A Biol Sci Med Sci 2020; 75:1184-1190. [PMID: 31807749 PMCID: PMC7243583 DOI: 10.1093/gerona/glz282] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Slowness of walking is one of the very first signs of aging and is considered a marker for overall health that is strongly associated with mortality risk. In this study, we sought to disentangle the clinical drivers of the association between gait and mortality. METHODS We included 4,490 participants of the Rotterdam Study who underwent a gait assessment between 2009 and 2015 and were followed-up for mortality until 2018. Gait was assessed with an electronic walkway and summarized into the domains Rhythm, Phases, Variability, Pace, Tandem, Turning, and Base of Support. Cox models adjusted for age, sex, and height were built and consecutively adjusted for six categories of health indicators (lifestyle, musculoskeletal, cardiovascular, pulmonary, metabolic, and neurological). Analyses were repeated in comorbidity-free individuals. RESULTS Multiple gait domains were associated with an increased risk of mortality, including Pace (hazard ratio (HR) per SD worse gait, adjusted for other domains: 1.34 [1.19-1.50]), Rhythm (HR: 1.12 [1.02-1.23]) and Phases (HR: 1.12 [1.03-1.21]). Similarly, a 0.1 m/s decrease in gait speed was associated with a 1.21 (1.15-1.27) times higher hazard of mortality (HR fully adjusted: 1.14 [1.08-1.20]). In a comorbidity-free subsample, the HR per 0.1 m/s decrease in gait speed was 1.25 (1.09-1.44). Cause-specific mortality analyses revealed an association between gait speed and multiple causes of death. CONCLUSIONS Several gait domains were associated with mortality risk, including Pace which primarily represents gait speed. The association between gait speed and mortality persisted after an extensive adjustment for covariates, suggesting that gait is a marker for overall health.
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Affiliation(s)
| | - Berna M Isik
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sirwan K L Darweesh
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jos N van der Geest
- Department of Neuroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
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Ho JQ, Verghese J, Abramowitz MK. Walking while Talking in Older Adults with Chronic Kidney Disease. Clin J Am Soc Nephrol 2020; 15:665-672. [PMID: 32144098 PMCID: PMC7269215 DOI: 10.2215/cjn.12401019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 02/10/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND OBJECTIVES Walking while talking is a dual cognitive-motor task that predicts frailty, falls, and cognitive decline in the general elderly population. Adults with CKD have gait abnormalities during usual walking. It is unknown whether they have greater gait abnormalities and cognitive-motor interference during walking while talking. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Community-dwelling, nondisabled adults (n=330) ≥65 years of age underwent quantitative gait analysis, including walking while talking. Differences in walking-while-talking performance by CKD status were evaluated, and relative changes between walking-while-talking and walking alone performance were computed to quantify cognitive-motor interference (dual-task cost). Associations were tested using multivariable linear spline regression models, and independent gait domains were derived using factor analysis. CKD was defined as an eGFR<60 ml/min per 1.73 m2. RESULTS CKD was present in 134 (41%) participants. Participants with CKD had slower gait speed along with various gait cycle abnormalities during walking while talking: among those with CKD, every 10-ml/min per 1.73 m2 lower eGFR was associated with 3.3-cm/s (95% confidence interval, 0.4 to 6.1) slower gait speed, 1.8-cm (95% confidence interval, 0.6 to 3.0) shorter step length, 1.1% (95% confidence interval, 0.6 to 1.7) less time in the swing phase, and 1.4% (95% confidence interval, 0.5 to 2.3) greater time in double support after multivariable adjustment. When comparing walking while talking with walking alone, every 10-ml/min per 1.73 m2 lower eGFR was associated with 1.8% (95% confidence interval, 0.5 to 3.2) greater decrease in time in the swing phase and 0.9% (95% confidence interval, 0.2 to 1.5) greater increase in time in the stance phase. Factor analysis identified three walking-while-talking domains and three dual-task cost domains: eGFR was associated specifically with the rhythm domain for both walking-while-talking and dual-task cost. Every 10-ml/min per 1.73 m2 lower eGFR was associated with a poorer performance of 0.2 SD (95% confidence interval, 0.1 to 0.3) for walking while talking and 0.2 SD (95% confidence interval, 0.03 to 0.3) for dual-task cost. CONCLUSIONS During walking while talking, CKD is associated with gait abnormalities, possibly due to increased cognitive-motor interference.
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Affiliation(s)
- Jim Q. Ho
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Joe Verghese
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, New York
| | - Matthew K. Abramowitz
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, New York
- Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York; and
- Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine, Bronx, New York
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Kiselev J, Nuritdinow T, Spira D, Buchmann N, Steinhagen-Thiessen E, Lederer C, Daumer M, Demuth I. Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II). PLoS One 2019; 14:e0225026. [PMID: 31825966 PMCID: PMC6905575 DOI: 10.1371/journal.pone.0225026] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 10/28/2019] [Indexed: 11/18/2022] Open
Abstract
Background Walking ability is an important prerequisite for activity, social participation and independent living. While in most healthy adults, this ability can be assumed as given, limitations in walking ability occur with increasing age. Furthermore, slow walking speed is linked to several chronic conditions and overall morbidity. Measurements of gait parameters can be used as a proxy to detect functional decline and onset of chronic conditions. Up to now, gait characteristics used for this purpose are measured in standardized laboratory settings. There is some evidence, however, that long-term measurements of gait parameters in the living environment have some advantages over short-term laboratory measurements. Methods We evaluated cross-sectional data from an accelerometric sensor worn in a subgroup of 554 participants of the Berlin Aging Study II (BASE-II). Data from the two BASE-II age groups (age between 22–36 years and 60–79 years) were used for the current analysis of accelerometric data for a minimum of two days and a maximum of ten days were available. Real world walking speed, number of steps, maximum coherent distance and total distance were derived as average data per day. Linear regression analyses were performed on the different gait parameters in order to identify significant determinants. Additionally, Mann-Whitney-U-tests were performed to detect sex-specific differences. Results Age showed to be significantly associated with real world walking speed and with the total distance covered per day, while BMI contributed negatively to the number of walking steps, maximum coherent distance and total distance walked. Additionally, sex was associated with walking steps. However, R2-values for all models were low. Overall, women had significantly more walking steps and a larger coherent distance per day when compared to men. When separated by age group, this difference was significant only in the older participants. Additionally, walking speed was significantly higher in women compared to men in the subgroup of older people. Conclusions Age- and sex-specific differences have to be considered when objective gait parameters are measured, e.g. in the context of clinical risk assessment. For this purpose normative data, differentiating for age and sex would have to be established to allow reliable classification of long-term measurements of gait.
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Affiliation(s)
- Jörn Kiselev
- Geriatrics Research Group, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Anesthesiology and Intensive Care Medicine, Campus Charité Mitte, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- * E-mail: (ID); (JK)
| | - Timur Nuritdinow
- Sylvia Lawry Centre for Multiple Sclerosis Research e.V., The Human Motion Institute, Munich, Germany
| | - Dominik Spira
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nikolaus Buchmann
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Cardiology, Campus Benjamin Franklin, Charité—University Medicine Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Christian Lederer
- Sylvia Lawry Centre for Multiple Sclerosis Research e.V., The Human Motion Institute, Munich, Germany
| | - Martin Daumer
- Sylvia Lawry Centre for Multiple Sclerosis Research e.V., The Human Motion Institute, Munich, Germany
- Trium Analysis Online GmbH, Munich, Germany
| | - Ilja Demuth
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Charité—Universitätsmedizin Berlin, BCRT—Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
- * E-mail: (ID); (JK)
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Affiliation(s)
- Nancy G Kutner
- Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, Georgia;
| | - C Barrett Bowling
- Durham Veterans Affairs Healthcare System, Geriatric Research Education and Clinical Center, Durham Veterans Affairs Medical Center, Durham, North Carolina; and.,Division of Geriatric Medicine, Department of Medicine, Duke University, Durham, North Carolina
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Goto NA, Hamaker ME, Willems HC, Verhaar MC, Emmelot-Vonk MH. Accidental falling in community-dwelling elderly with chronic kidney disease. Int Urol Nephrol 2019; 51:119-127. [PMID: 30324581 PMCID: PMC6327005 DOI: 10.1007/s11255-018-1992-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 09/21/2018] [Indexed: 01/05/2023]
Abstract
PURPOSE The aim of the current study was to evaluate the association between a decreased estimated glomerular filtration rate (eGFR) and accidental falling in elderly patients who visited the day clinic of the department of geriatric medicine of the University of Medical Center Utrecht (UMCU). STUDY DESIGN A cross-sectional analysis with people aged ≥ 65 years of the Utrecht Cardiovascular Cohort was performed. Patients were stratified into different stages of kidney disease (< 45, 45-59, and ≥ 60 ml/min per 1.73 m2). Logistic regression models were used to evaluate the association between chronic kidney disease and falling. RESULTS Our analysis included 1000 participants with a mean age 79.4 (± 6.6) years, of whom 38% had an eGFR of < 60 ml/min per 1.73 m2 and 17% < 45 ml/min per 1.73 m2. Univariate analysis showed a significant higher prevalence [odds ratio 1.75 (95% confidence interval 1.21-2.53; p ≤ 0.01)] of falling in the population with an eGFR < 45 ml/min per 1.73 m2 compared to patients with an eGFR ≥ 60 ml/min per 1.73 m2. After correcting for multiple potential confounders in the multivariate analysis, this association was no longer present. CONCLUSIONS In geriatric patients ≥ 65 years, patients with a decreased eGFR fall more often than patients with a preserved kidney function. This seems to be related with the risk profile of patients with CKD and not with a decreased eGFR itself, as after correcting for potential confounders no association remained. Nevertheless, accidental falling is a highly prevalent problem in the elderly CKD population. Therefore, nephrologists should actively ask about accidental falling, and thereby screen for high-risk patients.
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Affiliation(s)
- Namiko A Goto
- Dianet Dialysis Center, Utrecht, The Netherlands.
- Department of Geriatrics, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
| | - Marije E Hamaker
- Department of Geriatrics, Diakonessenhuis Utrecht, Utrecht, The Netherlands
| | - Hanna C Willems
- Department of Geriatrics, Academic Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Marianne C Verhaar
- Department of Nephrology and Hypertension, Utrecht University, Utrecht, The Netherlands
| | - Mariëlle H Emmelot-Vonk
- Department of Geriatrics, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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