Literature DB >> 34708217

Rate of Force Development Is Related to Maximal Force and Sit-to-Stand Performance in Men With Stages 3b and 4 Chronic Kidney Disease.

Jared M Gollie1,2,3, Michael O Harris-Love4,5, Samir S Patel6,7, Nawar M Shara8, Marc R Blackman7,9,10.   

Abstract

INTRODUCTION: The primary aims of the present study were to assess the relationships of early (0-50 ms) and late (100-200 ms) knee extensor rate of force development (RFD) with maximal voluntary force (MVF) and sit-to-stand (STS) performance in participants with chronic kidney disease (CKD) not requiring dialysis.
METHODS: Thirteen men with CKD (eGFR = 35.17 ±.5 ml/min per 1.73 m2, age = 70.56 ±.4 years) and 12 non-CKD men (REF) (eGFR = 80.31 ± 4.8 ml/min per 1.73 m2, age = 70.22 ±.9 years) performed maximal voluntary isometric contractions to determine MVF and RFD of the knee extensors. RFD was measured at time intervals 0-50 ms (RFD0-50) and 100-200 ms (RFD100-200). STS was measured as the time to complete five repetitions. Measures of rectus femoris grayscale (RF GSL) and muscle thickness (RF MT) were obtained via ultrasonography in the CKD group only. Standardized mean differences (SMD) were used to examine differences between groups. Bivariate relationships were assessed by Pearson's product moment correlation.
RESULTS: Knee extensor MVF adjusted for body weight (CKD=17.14 ±.1 N·kg0.67, REF=21.55 ±.3 N·kg0.67, SMD = 0.79) and STS time (CKD = 15.93 ±.4 s, REF = 12.23 ±.7 s, SMD = 1.03) were lower in the CKD group than the REF group. Absolute RFD100-200 was significantly directly related to adjusted MVF in CKD (r = 0.56, p = 0.049) and REF (r = 0.70, p = 0.012), respectively. STS time was significantly inversely related to absolute (r = -0.75, p = 0.008) and relative RFD0-50 (r = -0.65, p = 0.030) in CKD but not REF (r = 0.08, p = 0.797; r = 0.004, p = 0.991). Significant inverse relationships between RF GSL adjusted for adipose tissue thickness and absolute RFD100-200 (r =-0.59, p = 0.042) in CKD were observed.
CONCLUSION: The results of the current study highlight the declines in strength and physical function that occur in older men with CKD stages 3b and 4 not requiring dialysis. Moreover, early RFD was associated with STS time in CKD while late RFD was associated MVF in both CKD and REF. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, identifier: NCT03160326 and NCT02277236.

Entities:  

Keywords:  chronic kidney disease; maximal voluntary force; muscle quality; physical function; strength

Year:  2021        PMID: 34708217      PMCID: PMC8547335          DOI: 10.3389/fresc.2021.734705

Source DB:  PubMed          Journal:  Front Rehabil Sci        ISSN: 2673-6861


INTRODUCTION

Reductions in neuromuscular capacity with aging are accelerated in the presence of chronic kidney disease (CKD) (1–4). Metabolic derangements affecting neuromuscular capacity, including anemia, hyperparathyroidism, metabolic acidosis, sodium retention, and hyperkalemia increase in prevalence and severity with CKD progression, usually becoming clinically apparent with an estimated glomerular filtration rate (eGFR) of <45 ml/min per 1.73 m2 (5). The accumulation of uremic toxins resulting from declines in kidney function are reported to contribute to both neuropathy and myopathy (6–9). Neuromuscular complications are further compounded by age, comorbidities, and high levels of physical inactivity in the CKD population (3, 10–12). Peripheral neuropathy and altered nerve excitability are common clinical manifestations of CKD and end-stage kidney disease (ESKD) (8, 13–15). Similarly, skeletal muscle wasting and mitochondrial dysfunction are also known to occur in those with CKD (16, 17). Accordingly, both neural and muscle morphological alterations are potential factors contributing to muscle weakness. The loss in neuromuscular force is reported to occur more rapidly than changes in muscle cross-sectional area in patients with CKD predialysis and ESKD (18, 19). Moreover, changes in muscle cross-sectional area have been found to be poorly associated with changes in functional outcomes (18). Therefore, alterations in neuromuscular force characteristics, in addition to loss of skeletal muscle mass, may explain declines in physical function in CKD (20). Rate of force development (RFD) describes the rise in force per unit of time following the onset of muscle contraction and is considered a critical contributor to the performance of functional activities (21–26). The underlying mechanisms determining RFD include a combination of neural and muscular factors (27, 28). More specifically, neural factors are suggested to predominantly influence the initial rise in force following the onset of muscle contraction (<100 ms) while skeletal muscle factors become more prominent during the later stages of RFD (>100 ms) (29–32). Decreases in muscle activation, maximal force capacity, and muscle quality, and alterations in muscle architecture have been reported to contribute to reductions in both early and late time intervals of RFD in older adults (24, 33–37). However, the effects of neuromuscular factors on early and late RFD and the potential implications for physical functioning in CKD is less understood. To our knowledge, there are no prior reports describing the relationship between RFD and physical function in patients with moderate-to-severe CKD. Therefore, the primary aims of the present study were to assess the relationships of early (0–50 ms) and late (100–200 ms) knee extensor RFD with maximal voluntary force (MVF) and sit-to-stand (STS) performance in patients with stages 3b and 4 CKD not requiring dialysis.

MATERIALS AND METHODS

Participants and Ethical Approval

Community-dwelling male veterans were screened and referred for potential enrollment by the Renal Clinic staff at the Veterans Affairs Medical Center in Washington D.C. (DC VAMC). The study was approved by the DC VAMC Institutional Review Board (IRB) and Research and Development (R&D) Committee. Inclusion criteria for study enrollment required participants to be ambulatory, with or without use of an assistive device, aged 18–85 years, and diagnosed with CKD stage 3b or 4 (i.e., eGFR >15 to <45 ml/min per 1.73 m2) (10). Exclusion criteria included a history of acute kidney injury, any uncontrolled cardiovascular or musculoskeletal problems, or having a pacemaker or implantable cardioverter defibrillator. Men similar in age without clinical evidence of CKD (i.e., eGFR >60 ml/min per 1.73 m2), who were recruited as part of a separate study in our laboratory using identical strength and functional testing procedures, served as a reference group (REF). All CKD and REF study participants voluntarily provided written informed consent using a DC VAMC IRB and R&D approved form prior to study participation.

Protocol

We employed an exploratory, prospective, case-referent study design comparing skeletal muscle force characteristics and physical function in male veterans with stages 3b and 4 CKD not on dialysis (n = 13) to male veterans without CKD (n = 12). Study participants included a convenience sample of middle-aged and older men seen at the DC VAMC. Data were collected by trained staff in the Renal Clinic, and Physical Medicine and Rehabilitation and Research Service groups. Each participant reported to the Muscle Morphology, Mechanics, and Performance Laboratory (3MAP Lab) at the DC VAMC to complete neuromuscular strength and physical function assessments lasting a total of 60–90 min. Participants were asked to refrain from any vigorous activity for at least 24 h prior to testing. Functional performance was determined using the STS task and knee extensors force characteristics of the dominant leg were determined using maximal voluntary isometric contractions. Diagnostic ultrasound examinations of the dominant rectus femoris muscle was performed in all patients with CKD. Functional assessments were completed prior to strength testing, and diagnostic ultrasound imaging was completed prior to all physical performance tasks.

Sit-to-Stand (STS) Test

The STS task has been proposed as a measure of lower extremity strength and power (38–41). To complete the STS, participants were asked to perform five repetitions of the STS task as quickly, and safely, as possible. Participants began by sitting quietly on a seat (height 43 cm) with their hands folded across their chest. If the participant was able to complete one STS repetition successfully without using his arms, he was provided the following standardized instructions for completing the test: “Please stand up straight as quickly as you can five times, without stopping in between. After standing up each time, sit down and then stand up again while keeping your arms folded across your chest”. Performance in the STS was determined by the time taken to successfully complete all five repetitions. The test was ended if the participant became tired or short of breath, used his arms, was unable to complete the five repetitions within 1 min, or if the test administrator became concerned about the participant’s safety.

Maximal Voluntary Force (MVF) Assessment

Knee extensor MVF of the dominant leg was assessed using a portable fixed dynamometer (FGV-200XY, NIDEC instruments, Itasca, IL) (42). The dynamometer was securely mounted and anchored behind the participant. Participants were placed in the seated position on the edge of an adjustable examination table with their hips and knees at 90° of flexion. A strap attached to the dynamometer was secured around the ankle of the participant’s dominant leg. Participants were allowed to use their hands for stability but were asked to refrain from grasping onto the table. A familiarization session was provided before data collection to orient each participant to the testing procedures. Participants were instructed to extend or kick their leg as “hard and fast” as possible immediately following the test administrator’s command, and to contract and sustain the contraction for 5-s while being provided strong verbal encouragement. A rest period of ~1-min was provided between repetitions. Pre-contraction tension and countermovement were removed by test administrators and the dynamometer was zeroed just before initiation of contraction. The real-time force applied to the dynamometer was displayed online on a computer monitor. Force data were sampled at 100 Hz and digitally stored to be analyzed online. No more than six maximal voluntary isometric contractions were completed during strength assessments. Absolute MVF was determined as the average of the instantaneous highest force of 2–3 attempts which fell within 10% of each other. Absolute MVF was also adjusted for body weight and calculated as absolute MVF (N) divided by body weight (kg) to two-thirds power (i.e., adjusted MVF = absolute MVF [N]/body weight [kg]0.67) (43). Absolute RFD was calculated as the change in force by the change in time over the first 300 ms of the knee extensor isometric contraction. Absolute RFD was then analyzed at time intervals 0–50 ms (RFD0–50) and 100–200 ms (RFD100–200) representing early and late phases of RFD. Several steps were taken to increase confidence in the RFD measures. First, pre-tension prior to the onset of muscle contraction was eliminated. Second, caution was taken to ensure no counter-movements occurred before the start of the test. Finally, only trials exhibiting a rapid rise in the force trace were used for analysis. The average of 2–3 trials were used to determine RFD for each participant. The onset of contraction was systematically determined as the last trough before a continuous rise in the filtered force signaling above 4.45 N using visual identification (27). Relative RFD was expressed as a percentage of MVF (27, 43).

Diagnostic Ultrasound Estimates

Estimates of rectus femoris (RF) muscle quality were assessed as levels of echogenicity and expressed as grayscale levels (GSL) (range, 0–255) (44–46). Estimates of RF muscle thickness (MT) were determined from longitudinal view images. Images were obtained by a single clinical investigator with more than 10 years of quantitative ultrasound experience using B-mode diagnostic ultrasound with a 5–18 MHz linear array transducer (Nobulus, Hitachi Aloka Medical, Parsippany, NJ). Manufacturer default settings for time gain compensation and near field/far field gain were applied for all musculoskeletal scans. The field of view was adjusted for each participant to optimally capture the region of interest of the RF on the dominant side. Standardized procedures were followed for the identification of the scanning site, as previously described (45, 47). Diagnostic ultrasound estimates of RF GSL and RF MT were completed using ImageJ (version 1.48; National Institutes of Health, Bethesda, MD, USA). Ultrasound images were obtained and measured 3 times within the fascial borders of the muscle of interest. The region of interest was defined as the area within the superior and inferior fascial borders and the lateral borders of the RF. In instances when a portion of a fascial border was poorly visualized, the examiner used the trajectory of the visible fascial border to complete the region of interest selection (45). RF GSL estimates were adjusted for subcutaneous fat (i.e., adjusted RF GSL = uncorrected GSL + (subcutaneous fat thickness [cm] × 40.5278)) while RF MT estimates were adjusted for body weight (i.e., RF MT = muscle thickness [mm]/body weight [kg]) (48, 49).

Statistical Analysis

All data met the assumptions of normality based on the Kolmogorov-Smirnov test. The exploratory nature of the study precluded the use of a formal power calculation for estimating sample size. Therefore, standardized mean differences (SMD) were used to examine potential differences between CKD and REF groups in demographic data, force characteristics, and STS performance (50, 51). SMD provide an assessment of the amount of non-overlap in the distributions of two (or more) statistics (means, proportions) regardless of the number of participants in a study. SMD of > 0.2 (or < −0.2) indicates about 15% non-overlap in distributions while a difference of 1.0 would indicate more than 50% non-overlap. Pearson’s product moment bivariate correlation coefficients (r) were calculated to determine the associations between force characteristics, STS performance, and diagnostic ultrasound measures. The magnitudes of the SMD and correlation coefficients were described as 0.2, 0.5, and 0.8 and interpreted as small, medium, and large, respectively (52). Data are presented as mean values ± standard deviation (SD) unless otherwise noted and statistical significance was set at p ≤ 0.05. Statistical analyses were performed using SPSS version 26 (SPSS Inc., Chicago, IL).

RESULTS

Demographics

Participant characteristics are presented in Table 1. Adults with CKD were classified as exhibiting moderate-to-severe kidney insufficiency based on mean eGFR values, with nine (69.2%) participants classified with stage 3b and four (30.8%) classified with stage 4. Nine CKD patients (69%) and four REF participants (33%) had a clinical diagnosis of diabetes mellitus, whereas 12 CKD patients (92%) and 11 REF participants (92%) were hypertensive. Using BMI criteria, five CKD patients (38.5%) were classified as overweight, and eight (61.5%) were classified as obese (53). In the REF group, four (33.3%) were classified as overweight, and eight (66.6%) as obese.
TABLE 1 |

Participant demographics.

CKD (n = 13)95% CIREF (n = 12)95% CISMD
Age (years)70.5 ± 6.4[66.7,74.4]70.2 ± 2.9[68.3,72.0]0.07
Weight (kg)107.3 ± 22.8[93.6,121.1]96.3 ± 11.4[89.1,103.6]0.61
BMI (kg·m−2)33.5 ± 6.3[29.7,37.3]31.5 ± 3.6[29.2,33.4]0.39
eGFR (mL/min per 1.73 m2)35.1 ± 7.5[30.6,39.6]80.3 ± 14.8[70.9,89.7]−3.86
Diabetes mellitus (y/n)9/4 NA 4/8 NA NA
Hypertension (y/n)12/1 NA 11/1 NA NA
Sit-to-Stand (s)15.9 ± 3.4[13.6,18.2]12.2 ± 3.7[9.9,14.6]1.03
MVF (N)399.9 ± 95.7[342.1,457.8]461.4 ± 132.1[377.4,545.3]−0.53
Adjusted MVF (N·kg0.67)17.7 ± 4.1[15.3,20.2]21.5 ± 5.3[18.1,24.9]−0.79
Absolute RFD0–50 (N·s−1)1,848.3 ± 1,124.1[1,169.0, 2,527.6]1,546.2 ± 995.3[913.8, 2,178.5]0.29
Absolute RFD100–200 (N·s−1)904.4 ± 286.3[731.4,1077.3]769.7 ± 420.7[502.4, 1,037]0.37
Relative RFD0–50 (%MVF·s−1)503.2 ± 364.0[305.3,701.0]339.0 ± 233.6[147.2,530.8]0.54
Relative RFD100–200 (%MVF·s−1)229.3 ± 59.3[197.1,261.5]162.3 ± 76.7[118.9,205.7]0.98
Adjusted RF MT (mm·kg)0.2 ± 0.1[0.2,0.3] N/A N/A N/A
Adjusted RF GSL (unitless)128.3 ± 19.5[115.9,140.8] N/A N/A N/A
RF Subcutaneous Fat (cm)1.4 ± 0.6[1.0,1.7] N/A N/A N/A

CKD, participants with stages 3b and 4 chronic kidney disease; REF, reference participants without CKD; 95% CI, 95% confidence interval; SMD, standardized mean difference; eGFR, estimated glomerular filtration rate; kg, kilogram; m, meter; s, seconds; MVF, maximal voluntary isometric force; N, Newtons; N·kg0.67, Newtons per kilogram to two-thirds power; N·s−1, Newton per second; RFD, rate of force development, mm, millimeters; RF, rectus femoris; MT, muscle thickness; GSL, grayscale; y/n, yes/no; NA, not applicable.

Force Characteristics and STS Performance

Two CKD participants were unable to perform a single STS repetition and therefore were excluded from STS analyses. Functional status differed between groups, as evidenced by the large effect in STS time between CKD and REF groups. The difference of 3.7 seconds in STS time between groups surpassed the calculated minimal detectable change (MDC) of 1.2 s previously reported in non-dialysis patients (54). Medium-to-large effects were observed in MVF (SMD = 0.53) and adjusted MVF (SMD = 0.79), with absolute and adjusted strength being lower in the CKD group as compared to the REF group. Medium effects for relative RFD0–50 (SMD = 0.54) and large effects for relative RFD100–200 (SMD = 0.98) were observed between groups with relative RFD being greater in the CKD group compared to REF group.

Bivariate Relationships Between Absolute RFD and MVF Measures

In adults with CKD, negligible-to-weak non-significant inverse relationships were seen between absolute RFD0–50 and MVF (r = −0.18, p = 0.562) and absolute RFD0–50 and adjusted MVF (r = −0.01, p = 0.973) while absolute RFD100–200 was moderately directly related to MVF (r = 0.55, p = 0.054) and significantly moderately directly related adjusted MVF (r = 0.56, p = 0.049) (Figure 1). In the REF group, non-significant small-to-moderate direct relationships were observed between absolute RFD0–50 and MVF (r = 0.41, p = 0.191) and absolute RFD0–50 and adjusted MVF (r = 0.44, p = 0.149) whereas absolute RFD100–200 was significantly moderately directly related to MVF (r = 0.73, p = 0.007) and adjusted MVF (r = 0.70, p = 0.012).
FIGURE 1 |

Relationships between absolute rate of force development (RFD) and maximal voluntary force (MVF) at time intervals (A) 0–50 ms and (B) 100–200 ms, and absolute RFD and adjusted MVF at time intervals (C) 0–50 ms and (D) 100–200 ms. Gray circles and dashed lines represent patients with chronic kidney disease stages (CKD) 3b and 4 not on dialysis (CKD) while solid circles and lines represent reference participants (REF). N, newtons; N·s−1, newtons per second. Significance level set at p ≤ 0.05. N·kg0.67, newtons per kilogram to the two-thirds power.

Bivariate Relationships Between RFD Measures and STS Performance

There were significant moderate inverse relationships between STS time and absolute RFD0–50 (r = −0.75; p = 0.008) and relative RFD0–50 (r = −0.65; p = 0.030) in the CKD group but not absolute RFD100–200 (r = −0.07; p = 0.829) or relative RFD100–200 (r = −0.004, p = 0.992) (Figure 2). STS time was not significantly related to absolute nor relative RFD at either early or late time interval in the REF group (absolute RFD0–50, r = 0.08, p = 0.797; absolute RFD100–200, r = −0.13, p = 0.681; relative RFD0–50, r = 0.23, p = 0.466; and relative RFD100–200, r = 0.004, p = 0.991).
FIGURE 2 |

Relationships between absolute rate of force development (RFD) and sit-to-stand (STS) at time intervals (A) 0–50 ms and (B) 100–200 ms, and relative RFD and STS at time intervals, (C) 0–50 ms and (D) 100–200 ms. Gray circles and dashed lines represent patients with chronic kidney disease stages (CKD) 3b and 4 not on dialysis (CKD) while solid circles and lines represent reference participants (REF). N·s−1, Newtons per second; %MVF·s−1, percent maximal voluntary force per second; s, seconds. Significance level set at p ≤ 0.05.

Bivariate Relationships Between Ultrasound Estimates and Force Characteristics

In participants with CKD, non-significant weak-to-moderate inverse relationships were observed between adjusted RF GSL and absolute RFD0–50 (r = −0.40, p = 0.200) and adjusted RF GSL and relative RFD0–50 (r = −0.24, p = 0.456). Significant moderate inverse relationship was observed between adjusted RF GSL and absolute RFD100–200 (r = −0.59, p = 0.042) while adjusted RF GSL was moderately inversely related to relative RFD100–200 (r = −0.53, p = 0.077), albeit non-significantly. No significant relationships were seen between adjusted RF MT and absolute RFD0–50 (r = −0.03, p = 0.927) or adjusted RF MT and relative RFD0–50 (r = −0.15, p = 0.657). Non-significant weak inverse relationship between adjusted RF MT and absolute RFD100–200 (r = −0.19, p = 0.560) and a non-significant moderate inverse relationship between adjusted RF MT and relative RFD100–200 (r = −0.42, p = 0.180) were observed, respectively (Figure 3).
FIGURE 3 |

Relationships between (A) knee extensor absolute rate of force development (RFD) at time interval 100–200 ms (RFD100–200) and adjusted rectus femoris grayscale (RF GSL), (B) relative RFD100–200 and adjusted RF GSL, (C) absolute RFD100–200 and adjusted RF muscle thickness (MT), and (D) relative RFD100–200 and adjusted RF MT in patients with chronic kidney disease (CKD) stages 3b and 4 not on dialysis. Significance level set at p ≤ 0.05.

DISCUSSION

The present study examined knee extensor force characteristics and STS performance in middle-aged and older community-dwelling men with and without CKD stages 3b and 4 not on dialysis. Time in the STS task was slower, and knee extensor strength weaker, in men with CKD when compared to these measures in the REF participants. Medium and large effects were observed in relative RFD0–50 and relative RFD100–200 between groups, with relative RFD being greater in the CKD group. Significant inverse relationships between absolute and relative RFD0–50 and STS time were observed in the CKD group only while significant direct relationships were evident between MVF and adjusted MVF and RFD100–200 in the CKD and REF groups. Finally, a significant inverse relationship was found between adjusted RF GSL and absolute RFD100–200 in participants with CKD. In participants with CKD, STS time was slower than in the REF group. When compared to published normative values, STS times for the REF group were consistent with those of the 70–79 age group (i.e., 12.6 s), whereas STS times of the CKD group were 23.2% slower (55). In addition to being an assessment of physical function, the STS test has also been proposed as a proxy measure of lower extremity strength and power (38, 40). The European Working Group on Sarcopenia in Older People (EWGSOP) recommends the inclusion of STS performance as a measure of muscle strength for defining and diagnosing sarcopenia (40). Using the proposed cut-off value of >15 s, 53.8% of CKD participants (n = 7) in the current study would be classified with low muscle strength as compared to only 16.7% of REF participants (n = 2) (40). Of note, data from prior investigations examining the relationship between STS performance and knee extensor strength have been inconclusive, questioning the construct validity of STS as a measure of lower extremity strength, especially when using isometric contractions (41, 54, 56–58). Therefore, other factors in addition to maximal force capacity likely influence STS performance (59). Maximal strength plays a major role in an individual’s ability to express force rapidly (29, 30, 32, 37). We observed MVF to be directly related to late RFD in both the CKD and REF groups. It has previously been demonstrated that MVF is more strongly related to RFD during the later vs. earlier phases of isometric force generation (27–29, 32, 37). In one study, at time intervals later than 90 ms from the onset of contraction, maximal strength accounted for 52–81% of the variance in RFD, whereas at very early time intervals (<40 ms) after the onset of muscle contraction, RFD was moderately associated with twitch contractile properties, and was less related to maximal force capacity (29). In the present study, negligible-to-weak relationships were observed between absolute RFD0–50 and adjusted MVF in the CKD group. Conversely, a significant direct relationship was observed between absolute RFD100–200 and adjusted MVF, accounting for 31% of the variance. Similarly, adjusted MVF explained 48% of the variance in absolute RFD100–200 as compared to only 20% of the variance in absolute RFD0–50 in the REF group. Informed by findings from prior studies, it is inferred that factors other than MVF are primarily responsible for absolute RFD during the 0–50 ms time interval due to the minimal explained variance of RFD0–50 by MVF (29–33). Declines in maximal motor unit discharge frequency and muscle quality, and alterations in muscle architecture, have all been found to contribute to reductions in RFD with aging (33, 34). Age-related differences in RFD disappeared when adjusted for peak force, suggesting that the age differences in RFD are, in part, the result of decreased maximal force (36). Although it has been demonstrated in young adults that neural activation is more strongly associated with early phases of RFD than later phases, decreases in muscle activation are thought to contribute to age-related declines in the later phases of RFD (31, 33, 34). Despite RFD being considered an important neuromuscular outcome for physical function in older adults, the corresponding evidence of the importance of RFD in patients with moderate-to-several kidney dysfunction is more limited (21–24). Reductions in renal function accelerate pathophysiological processes responsible for the neuromuscular and functional declines observed with aging (4, 60). Research on neuromuscular health in patients with kidney disease has primarily focused on muscle size, due to the increased risk for accelerated muscle loss (16, 60, 61). However, neurological alterations associated with CKD have also been described (13, 14). There is evidence to suggest alterations in neurological function at early stages of renal dysfunction, before renal failure, yet it is unclear how such alterations may influence neuromuscular force generation (13). Given the inverse relationship between early RFD and STS time in our sample of patients with stages 3b and 4 CKD, further studies are warranted to determine the specific neural and skeletal muscle factors contributing to disruptions in the early time intervals of absolute RFD. Measures of skeletal muscle structure obtained using diagnostic ultrasonography have been found to be related to measures of force and physical function (30, 33, 46, 48, 62–69). Here, we report a significant inverse association between adjusted RF GSL and absolute RFD100–200 in patients with CKD. The strength of the relationships between adjusted RF GSL and measures of RFD at the time interval 0–50 ms in the present study are in agreement with that reported by Wilhelm et al. in older men (i.e., r = −0.40 and r = −0.24 vs. r = −0.227) (67). Similarly, echogenicity of the medial gastrocnemius was found to be more strongly related to late, as compared to early, rate of torque, consistent with the findings of the current study in knee extensor RFD (33). Despite the potential implications of RF GSL, no meaningful relationships were observed between adjusted RF MT and measures of RFD in participants with CKD. It has previously been shown that late phase rate of torque development is positively related to MT of the vastus lateralis and vastus intermedius (30), but not the RF (68). Therefore, the relationship between adjusted RF MT and late phase RFD observed in CKD participants in the present study should be interpreted within the context of architectural variability of the quadricep muscle group (70).

Clinical Implications

Resistance exercise offers a powerful stimulus for enhancing both maximal force and RFD in older adults (71–73). To date, there has been relatively little study of the effects of resistance exercise in CKD patients not requiring dialysis, as compared with the number of investigations of aerobic and/or resistance exercise in generally healthy older adults and in patients with ESKD on dialysis. Given the relationship between maximal strength and RFD, mixed methods approaches to resistance exercise, which manipulate both exercise intensity (i.e., load) and speed of contraction, may be advantageous for addressing neuromuscular impairments and activity limitations in patients with CKD and in older adults (74). Such approaches focus on targeting specific neuromuscular characteristics (i.e., work capacity, maximal strength, power output) in a progressive and sequential manner. When working with deconditioned populations, reduced exercise intensities are required during the initial periods of an exercise regimen for safety, tolerability, and adherence. The benefits achieved during the beginning stages of an exercise regimen enable the neuromuscular system to subsequently manage greater exercise intensities. Once increases in force capacity are developed, individuals can then focus on expressing new force capabilities more rapidly. Although a recent position statement on resistance exercise recommends such approaches for older adults, further research is required to determine the effects of the manipulation of various training variables for enhancing neuromuscular capacity and physical function in patients with CKD (75). Limitations to the present study include the following. The small sample size of older adult male veterans with and without CKD in this exploratory study precludes generalization of the current findings beyond our study sample. Additionally, the small sample may have influenced the relationships observed in the present study and therefore future large-scale studies will be necessary to confirm and extend these findings. Verbal instruction has been shown to influence the RFD achieved, making it unclear if RFD values would have been different using other methods. However, the verbal instructions provided were standardized between both groups, so that any influence of verbal instructions on RFD should have been consistent across groups. Additionally, several measures were taken to increase confidence in the analysis of RFD, including elimination of pre-tension and countermovement prior to the onset of muscle contraction, and the elimination of trials failing to demonstrate a rapid rise in the force trace immediately following the onset of contraction. Finally, further investigation is required to determine the most effective strategies for improving RFD and physical function in men and women with CKD not requiring dialysis.

CONCLUSION

The results of the current study highlight the declines in strength and physical function that occur in older men with CKD stages 3b and 4 not requiring dialysis. Moreover, early RFD was associated with STS time in CKD while late RFD was associated MVF in both CKD and REF.
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Authors:  David J Clark; Todd M Manini; Roger A Fielding; Carolynn Patten
Journal:  Exp Gerontol       Date:  2013-01-29       Impact factor: 4.032

7.  Exercise performance falls over time in patients with chronic kidney disease despite maintenance of hemoglobin concentration.

Authors:  Murray J Leikis; Michael J McKenna; Aaron C Petersen; Annette B Kent; Kate T Murphy; James A Leppik; Xiaofei Gong; Lawrence P McMahon
Journal:  Clin J Am Soc Nephrol       Date:  2006-04-19       Impact factor: 8.237

8.  Chronic kidney disease: considerations for monitoring skeletal muscle health and prescribing resistance exercise.

Authors:  Jared M Gollie; Michael O Harris-Love; Samir S Patel; Sholey Argani
Journal:  Clin Kidney J       Date:  2018-07-16

Review 9.  Responsiveness of muscle size and strength to physical training in very elderly people: a systematic review.

Authors:  V H Stewart; D H Saunders; C A Greig
Journal:  Scand J Med Sci Sports       Date:  2013-10-24       Impact factor: 4.221

10.  Diagnostic ultrasound estimates of muscle mass and muscle quality discriminate between women with and without sarcopenia.

Authors:  Catheeja Ismail; Johannah Zabal; Haniel J Hernandez; Paula Woletz; Heather Manning; Carla Teixeira; Loretta DiPietro; Marc R Blackman; Michael O Harris-Love
Journal:  Front Physiol       Date:  2015-10-29       Impact factor: 4.566

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