High-frequency external muscle stimulation in acute kidney injury (AKI): potential shortening of its clinical course

Iorio, Biagio Di; Torraca, Serena; Gustaferro, Pasquale; Fazeli, Gholamreza; Heidland, A.

doi:10.5414/cnx77s101

Cited by 8 publications

(11 citation statements)

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“…There are few studies on NMES training during hemodialysis in patients with chronic kidney disease. NMES has been found to stabilize blood pressure during hemodialysis [136] and to improve dialysis efficacy [137,138]. Also, improved exercise capacity has been found [137].…”

Section: Clinical Recommendation For Nmes Applicationsmentioning

confidence: 99%

The Application of Neuromuscular Electrical Stimulation Training in Various Non‐neurologic Patient Populations: A Narrative Review

Herzig

Maffiuletti

Eser

2015

PM&R

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In the last 2 decades, neuromuscular electrical stimulation has been used increasingly in deconditioned patients with the aim of increasing muscle force. Much basic research has been conducted in the area of increasing a muscle's fatigue resistance by neuromuscular electrical stimulation but similarly thorough research with regard to increasing maximal force is missing. Insufficient clinical and basic knowledge exists on the selection of stimulation parameters that will optimize muscle hypertrophy and gains in muscle force. For volitional training, established stimuli for muscle hypertrophy (which more or less parallels maximal muscle force) are muscle tension, metabolic stress, and muscle damage. The present review summarizes findings from clinical and basic research in terms of muscle mechanical as well as acute and chronic physiologic effects of different stimulation protocols, explains the role of the various stimulation parameters in determining the effect of NMES training protocols, and gives clinical recommendations for the choice of stimulation parameters for different patient populations with different training goals, such as increasing muscle force, mass, endurance, or energy consumption. We limit this review to non-neurologic patients, because training goals of neurologic patients are specific to their functional deficits.

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Section: Clinical Recommendation For Nmes Applicationsmentioning

confidence: 99%

The Application of Neuromuscular Electrical Stimulation Training in Various Non‐neurologic Patient Populations: A Narrative Review

Herzig

Maffiuletti

Eser

2015

PM&R

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“…Third, a greater LBM decreased the probability of developing creatinine-based AKI. This finding is substantiated by the work of Liu et al 48 where they found that underweight patients had a greater chance of developing AKI in ICU as adequate nutritional intake is thought to reduce ICU length of stay and improve chances of recovery 49 , 50 .…”

Section: Discussionmentioning

confidence: 82%

Acute kidney injury detection using refined and physiological-feature augmented urine output

Alkhairy

Celi

Feng

et al. 2021

Sci Rep

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Acute kidney injury (AKI) is common in the intensive care unit, where it is associated with increased mortality. AKI is often defined using creatinine and urine output criteria. The creatinine-based definition is more reliable but less expedient, whereas the urine output based definition is rapid but less reliable. Our goal is to examine the urine output criterion and augment it with physiological features for better agreement with creatinine-based definitions of AKI. The objectives are threefold: (1) to characterize the baseline agreement of urine output and creatinine definitions of AKI; (2) to refine the urine output criteria to identify the thresholds that best agree with the creatinine-based definition; and (3) to build generalized estimating equation (GEE) and generalized linear mixed-effects (GLME) models with static and time-varying features to improve the accuracy of a near-real-time marker for AKI. We performed a retrospective observational study using data from two independent critical care databases, MIMIC-III and eICU, for critically ill patients who developed AKI in intensive care units. We found that the conventional urine output criterion (6 hr, 0.5 ml/kg/h) has specificity and sensitivity of 0.49 and 0.54 for MIMIC-III database; and specificity and sensitivity of 0.38 and 0.56 for eICU. Secondly, urine output thresholds of 12 hours and 0.6 ml/kg/h have specificity and sensitivity of 0.58 and 0.48 for MIMIC-III; and urine output thresholds of 10 hours and 0.6 ml/kg/h have specificity and sensitivity of 0.49 and 0.48 for eICU. Thirdly, the GEE model of four hours duration augmented with static and time-varying features can achieve a specificity and sensitivity of 0.66 and 0.61 for MIMIC-III; and specificity and sensitivity of 0.66 and 0.64 for eICU. The GLME model of four hours duration augmented with static and time-varying features can achieve a specificity and sensitivity of 0.71 and 0.55 for MIMIC-III; and specificity and sensitivity of 0.66 and 0.60 for eICU. The GEE model has greater performance than the GLME model, however, the GLME model is more reflective of the variables as fixed effects or random effects. The significant improvement in performance, relative to current definitions, when augmenting with patient features, suggest the need of incorporating these features when detecting disease onset and modeling at window-level rather than patient-level.

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“…Body mass index may be an important modifiable risk factor for mortality in patients presenting with AKI. Achieving an adequate nutritional intake in sufferers with AKI is hypothesised to reduce length of stay and improve rehabilitation potential by preventing or reducing muscle wastage [ 20 , 21 ]. However, the proposed benefits of body compositional preservation have never been studied.…”

Section: Discussionmentioning

confidence: 99%

The impact of body mass index on mortality in patients with acute kidney injury: a systematic review protocol

et al. 2018

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BackgroundAcute kidney injury (AKI) refers to a broad spectrum of kidney damage and is attributed a high morbidity and mortality rate at all degrees of severity. Obesity increases the risk for developing AKI. However, some studies have shown that obesity at onset of AKI is paradoxically associated with greater survival. The aim of this review is to explore the relationship between body mass index and survival in patients with AKI.MethodsAn electronic search will be conducted using MEDLINE, EMBASE, CINAHL and CENTRAL using predefined search strategies. The cited and citing references of selected key studies will also be searched for relevant articles. Risk of bias will be assessed using a modified Quality in Prognosis Studies (QUIPS) tool. The primary outcome will be an exploration of the association between BMI and mortality in patients presenting with AKI. Two authors will independently select, data extract, and risk of bias assess articles. Any discrepancies will be resolved by consensus or by consulting a third author. A narrative synthesis of the findings from the included studies will be presented. Meta-analyses will be conducted where the data is available from clinically and methodologically similar studies and in the same format. Heterogeneity in such analyses, beyond that expected by chance, will be quantified using the I2 statistic. Sub-group analyses will be performed to determine the influence of gender, AKI duration, underlying aetiology, and intervening treatments, on pooled results.DiscussionBody mass index may be an important modifiable risk factor for mortality in patients presenting with AKI. The proposed systematic review will help to elucidate the association between all categories of BMI and survival in this patient group.Systematic review registrationPROSPERO CRD42017071124.Electronic supplementary materialThe online version of this article (10.1186/s13643-018-0825-3) contains supplementary material, which is available to authorized users.

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High-frequency external muscle stimulation in acute kidney injury (AKI): potential shortening of its clinical course

Cited by 8 publications

References 54 publications

The Application of Neuromuscular Electrical Stimulation Training in Various Non‐neurologic Patient Populations: A Narrative Review

The Application of Neuromuscular Electrical Stimulation Training in Various Non‐neurologic Patient Populations: A Narrative Review

Acute kidney injury detection using refined and physiological-feature augmented urine output

The impact of body mass index on mortality in patients with acute kidney injury: a systematic review protocol

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