Literature DB >> 29773952

Remote ischemic preconditioning in myocardial protection in hemodialysis patients.

Marcelo R Bacci1, Livia Y Vasconcelos1, Neif Murad2, Antonio Carlos P Chagas2, Ana Carolina Capuano1, Beatriz Ca Alves3, Edimar C Pereira4, Ligia A Azzalis4, Virginia Bc Junqueira4, Fernando LA Fonseca3,4.   

Abstract

BACKGROUND: Remote ischemic preconditioning (RIPC) is a procedure that generates a brief period of ischemia followed by reperfusion. The role of RIPC in protecting myocardial ischemia during hemodialysis is not yet established. The aim of the study was to evaluate RIPC myocardial protection as evaluated by ultrasensitive I troponin in hemodialysis outpatients. PATIENTS AND METHODS: A double-blind randomized trial with two groups: intervention submitted to RIPC and control group without RIPC. Intervention group received RIPC in three consecutive hemodialysis sessions. Blood samples were taken before and after each session. Blood urea nitrogen for calculation of single-pool Kt/v and ultrasensitive I troponin were measured to evaluate dialysis adequacy and myocardial injury.
RESULTS: A total of 47 patients were randomized. About 60.8% were men and 54% were diabetic. The mean single-pool Kt/v was 1.51 in the intervention group and 1.49 in control. The ultrasensitive troponin I measured no significant change from the time of collection: before or after dialysis.
CONCLUSION: The RIPC applied in three consecutive sessions did not demonstrate superiority to control, therefore another study tested RIPC in 12 consecutive sessions with a positive result in myocardial protection. In our study, more than half of the patients were diabetic. Diabetic patients have a trend to show a lower response to RIPC because of the greater presence of collateral coronary circulation. In summary, in this model there was no interference of RIPC in ultrasensitive troponin I values, but troponin had a high negative predictive value for myocardial infarction in all tested models.

Entities:  

Keywords:  cardiac troponin; chronic kidney disease; hemodialysis; myocardial infarction; remote ischemic preconditioning

Year:  2018        PMID: 29773952      PMCID: PMC5947106          DOI: 10.2147/IJGM.S144385

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Remote ischemic preconditioning (RIPC) is defined as brief transient episodes of ischemia followed by a prolonged sustained episode of ischemia and reperfusion in the heart. It was first described by Murry et al in 1986, when they showed that brief ischemic episodes in dogs by the experimental occlusion of the left coronary artery reduced infarct extension caused by the occlusion of the circumflex artery and subsequent reperfusion.1 It was observed that these induced ischemic periods followed by reperfusion promote cardioprotection in situations in which this prolonged ischemic event is expected, like in cardiac surgeries, transplants or even percutaneous coronary angioplasty.2 Kadkhodaee et al reported protective effects in the kidney by pre- and post- conditioning in ischemic situations and induced reperfusion.3 Besides all other risk factors, patients on hemodialysis have a common complication from the procedure associated with myocardial ischemia. With the prolonged decrease of oxygen supply, a left ventricular dysfunction can be observed in the long run, resulting in cardiac insufficiency and an increase in mortality.4 A recent study reveals that conventional hemodialysis, besides being associated with endothelial injury, oxidative stress and high inflammatory activity, can induce microcirculation injury with consequent critical ischemia and tissue damages during the procedure.4, 5 It is known that cardiac troponin I (cTnI) and cardiac troponin T (cTnT) levels are usually elevated and related to mortality in such cases. A recent meta-analysis concluded that the elevation of cTnI and cTnT represents a 2.64- and 1.74-fold increase in mortality, respectively.6 The aim of this study was to analyze the RIPC effect in myocardial injury by means of the measurement of cTnI in patients with chronic kidney disease on hemodialysis.

Patients and methods

Study design

This is a randomized clinical trial. Patients were divided into two groups: experiment and control. Randomization was performed according to the list generated by the website www.randomizatiom.com, which was accessed only by the nurse in charge of the dialysis. Researchers remained blinded as to which group each patient belonged to. Patients on medications for the treatment of pre-existing diseases were not washed out. Hemodialysis sessions were set to 3:30 hours, with blood flow of 300 mL/min, dialysate flow of 500 mL/min, sodium concentration of 140 mEq/L and bicarbonate of 34 mEq/L. The ultrafiltration value was defined according to the individual need of each patient. Written informed consent was obtained from each participant included in this study; this study and its protocol were conducted in accordance with the Declaration of Helsinki, and the study was approved by the Faculdade de Medicina do ABC Ethics Committee (CAAE number 45920015.5.0000.0082).

Study interventions

The ischemic preconditioning consisted of a 5-minute interruption of the brachial blood flow using a Tycos sphygmomanometer (Welch Allyn, Skaneateles Falls, NY, USA) inflated to 200 mmHg or until the distal blood flow was interrupted; subsequent deflation followed with the same rest period, and the procedure was repeated twice, totaling 30 minutes of intervention. The contralateral arm was chosen, next to the functioning arteriovenous fistula, and in the absence of the fistula, the right arm was used. The intervention occurred in the beginning of the dialysis session. The intervention group underwent three consecutive sessions of RIPC, whereas control group underwent none.

Interesting outcomes

The primary outcome was the decrease in ultrasensitive cTnI level when intervention and control groups were compared. The secondary outcome was mortality by any cause at time points 30 and 90 days, hospitalization due to cardiovascular event defined as acute coronary syndrome, pulmonary thromboembolism or cerebrovascular accident.

Variables of interest

The analysis of biochemical markers was carried out using blood samples collected at 2 and 7 days prior to the allocation, in the beginning of the first hemodialysis session, after the initial allocation. Plasma cTnI levels were measured by ELISA assay, and their cutoff values were defined according to the constructed calibration curve. Values above the 99th percentile were considered altered. For dialysis adequacy, the values of single-pool Kt/V and the urea reduction ratio (URR) were considered adequate if they were ≥1.2 and 65%, respectively. The analysis of the inflammatory markers was performed using the ELISA method. Cutoff values were set on a method-by-method basis according to each used kit, following each manufacturer’s instructions.

Statistical analysis

This was a 40-patient pilot study. The sample was divided into two groups: 20 in the control group and 20 in the intervention group. Qualitative variables were presented with absolute and relative frequencies and analyzed by the chi-square test. Shapiro–Wilk test was used to verify the normality of quantitative variables. As the distribution was not normal, median values, along with the respective 95% confidence intervals, were used. Quantitative variable between groups were analyzed with the Mann–Whitney test, and Wilcoxon test was applied to verify if there were differences in the collections before and after each moment, confidence interval was 95%. Data Analysis and Statistical Software for Professionals (Stata), version 11.0, was the statistical package used.

Results

The mean age in the control group was 63.9 years (SD±15.8), and in the intervention group it was 52.1 years (SD±21.5). All of the patients from both groups suffered from systemic hypertension. Diabetes was present in 60.8% of the patients in the intervention group and in 65.2% in the control group. Table 1 shows the characterization of the samples, taking parameters like gender, Kt/V, hemoglobin and ferritin into consideration.
Table 1

Characterization of samples according to the studied groups

Studied GroupsGroups
p*
ControlIntervention
Gender, n (%)
 Female9.0 (40.9)8.0 (34.8)0.672*
 Male13.0 (59.1)15.0 (65.2)
Kt/V1.5 (1.1–1.5)1.5 (1.1–1.6)0.846**
Hemoglobin, g/dL10.6 (10.4–11.5)11.1 (10.8–11.6)0.190**
Albumin, g/dL3.8 (3.6–4.0)4.0 (3.9–4.1)0.010**
Ferritin, ug/L560.0 (364.9–563.5)375.0 (278.1–391.7)0.076**

Notes: Confidence interval of 95% shown in brackets;

chi-square;

Mann–Whitney test.

Table 2 shows the mean values of troponin pre- and post-dialysis in control and intervention groups. Interestingly, between the moments of pre- and post-dialysis the significance value was <0.05 (p<0.05) according to the Wilcoxon test, demonstrating that the RIPC did not have the expected effect.
Table 2

Point estimation (interval estimation) of troponin concentration according to the moments in control and intervention groups

cTnControl
Intervention
PrePostp*PrePostp*
Troponin 10.010 (0.006–0.016)0.009 (0.006–0.023)0.6310.007 (0.006–0.012)0.007 (0.006–0.011)0.152
Troponin 20.010 (0.006–0.014)0.011 (0.006–0.018)0.6340.009 (0.006–0.017)0.006 (0.006–0.014)0.987
Troponin 30.011 (0.006–0.018)0.013 (0.007–0.027)0.0240.007 (0.006–0.018)0.006 (0.006–0.009)0.136

Notes: Values expressed in median (confidence interval of 95%);

Wilcoxon test.

In Table 3 it can be observed that there were no significant variations in the point estimation for urea, URR and troponin between control and intervention groups.
Table 3

Point estimation of concentration variation of urea, troponin and urea reduction ratio between groups

MarkersGroups
p**
ControlIntervention
Urea*63.50 (36.86–89.35)75.75 (35.86–104.52)0.672
Troponin*–0.001 (–0.0064–0.0021)0.001 (–0.0014–0.0014)0.441
Urea reduction ratio*–0.650 (–8.074–11.427)4.500 (–8.090–13.901)0.503

Notes: Values expressed in median (confidence interval of 95%);

variation between the first and last collection;

Wilcoxon test.

Discussion

It is known that chronic kidney disease patients on hemodialysis, even those without acute coronary disease, have high serum levels of troponin. So far, very few management strategies have been proposed to reduce myocardial damage caused by hemodialysis. Remote ischemic preconditioning is one of the propositions.7,8 Troponin is the biomarker of choice for the analysis of myocardial ischemia due to the fact that it is an enzyme specific to the cardiac muscle that plays an important role in the muscle contraction process; moreover, it practically has no relation with skeletal muscles. Most of the studies use troponin T (TnT) as a marker; studies using troponin I (TnI) are not only few but also short-term, with a small number of patients included.9 A 2012 study on the predictive value of troponin in patients on hemodialysis revealed a strong discrepancy between TnT and TnI values, which can be explained by their molecular mechanisms, like structure, molecular weight and half-life.10 Besides, the kinetics of enzyme release in the circulation after the alterations in myocyte membrane permeability can be different, and there is a divergence between the clearance of both enzymes Once released in the circulation, TnI becomes more susceptible to modifications owing to phosphorylation, oxidation and proteolysis. Factors like aggressive ultrafiltration and intradialytic hypotension are associated with the aggravation of the myocardial ischemic condition during a hemodialysis session owing to the significant alterations in the coronary flow. Repeated injuries induced by ischemia followed by reperfusion cause alterations in motility and loss of contractility, which may lead to myocardial fibrosis and irreversible left ventricular systolic dysfunction.11 Burton et al showed that nearly 50% of patients on hemodialysis developed alterations in regional myocardial motility, and also that the mortality rate among these patients increased in the subsequent 12 months.4 No RIPC benefits, performed in three consecutive hemodialysis sessions in this study, could be observed. However, Park et al reported its beneficial effects in 12 consecutive hemodialysis sessions, when a decrease in TnT levels could be observed.12 This study faced some limitations. First, the number of sessions was lower than in other published studies, and it is not surely known how many interventions are necessary to obtain such benefits. The presence of diabetes is a positive predictive factor for higher cardiovascular mortality. Moreover, coronary collateral circulation in diabetic patients is higher due to the presence of ischemia, a factor that may be responsible for the lower response rate in patients undergoing RIPC. The studied sample included a diabetic population of >50%.5, 13 In sum, in the model of three consecutive hemodialysis sessions, no significant reduction in ultrasensitive troponin I concentrations could be observed when remote ischemic preconditioning was applied.
  12 in total

1.  First report of the protective effects of remote per- and postconditioning on ischemia/reperfusion-induced renal injury.

Authors:  Mehri Kadkhodaee; Behjat Seifi; Atefeh Najafi; Zahra Sedaghat
Journal:  Transplantation       Date:  2011-11-27       Impact factor: 4.939

Review 2.  Cardioprotection: chances and challenges of its translation to the clinic.

Authors:  Gerd Heusch
Journal:  Lancet       Date:  2012-10-22       Impact factor: 79.321

3.  Preconditioning with ischemia: a delay of lethal cell injury in ischemic myocardium.

Authors:  C E Murry; R B Jennings; K A Reimer
Journal:  Circulation       Date:  1986-11       Impact factor: 29.690

4.  Regional ischemic 'preconditioning' protects remote virgin myocardium from subsequent sustained coronary occlusion.

Authors:  K Przyklenk; B Bauer; M Ovize; R A Kloner; P Whittaker
Journal:  Circulation       Date:  1993-03       Impact factor: 29.690

5.  Hemodialysis-induced cardiac injury: determinants and associated outcomes.

Authors:  James O Burton; Helen J Jefferies; Nicholas M Selby; Christopher W McIntyre
Journal:  Clin J Am Soc Nephrol       Date:  2009-04-08       Impact factor: 8.237

6.  Predictive value of cardiac troponin T and I in hemodialysis patients.

Authors:  Faiza Rawas Kalaji; Sami Albitar
Journal:  Saudi J Kidney Dis Transpl       Date:  2012-09

Review 7.  Remote ischemic preconditioning and renoprotection: from myth to a novel therapeutic option?

Authors:  Natig Gassanov; Amir M Nia; Evren Caglayan; Fikret Er
Journal:  J Am Soc Nephrol       Date:  2013-12-05       Impact factor: 10.121

8.  Effect of remote ischemic preconditioning on acute kidney injury in nondiabetic patients undergoing coronary artery bypass graft surgery: a secondary analysis of 2 small randomized trials.

Authors:  Vinod Venugopal; Chris M Laing; Andrew Ludman; Derek M Yellon; Derek Hausenloy
Journal:  Am J Kidney Dis       Date:  2010-10-25       Impact factor: 8.860

9.  Detection of microcirculatory impairment by transcutaneous oxymetry monitoring during hemodialysis: an observational study.

Authors:  Ygal Benhamou; Loic Begarin; Nathalie David; Nicole Cailleux; Catherine Bessin; Herve Lévesque; Stephane Edet
Journal:  BMC Nephrol       Date:  2014-01-08       Impact factor: 2.388

10.  Sensitive troponins--which suits better for hemodialysis patients? Associated factors and prediction of mortality.

Authors:  Ferruh Artunc; Christian Mueller; Tobias Breidthardt; Raphael Twerenbold; Andreas Peter; Claus Thamer; Peter Weyrich; Hans-Ulrich Haering; Bjoern Friedrich
Journal:  PLoS One       Date:  2012-10-15       Impact factor: 3.240

View more
  1 in total

1.  Irisin and troponin I expression in dialysis patients submitted to remote ischemic preconditioning: a pilot study.

Authors:  Flávia de Sousa Gehrke; Mariana Carvalho Gouveia; Carla Gabriela Marques Barbosa; Neif Murad; Beatriz da Costa Aguiar Alves Reis; Fernando Luiz Affonso Fonseca; Edimar Cristiano Pereira; Marcelo Rodrigues Bacci
Journal:  J Bras Nefrol       Date:  2019-12-02
  1 in total

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