Next Article in Journal
Human Tissue Analysis of Left Atrial Adipose Tissue and Atrial Fibrillation after Cox Maze Procedure
Next Article in Special Issue
Early Use of Methylene Blue in Vasoplegic Syndrome: A 10-Year Propensity Score-Matched Cohort Study
Previous Article in Journal
Checkpoint Inhibitors and the Gut
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 11
Issue 3
10.3390/jcm11030825
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Carbohydrate-Enriched Drink Compared to Fasting on Hemodynamics in Healthy Volunteers. A Randomized Trial

by
Jakub Kukliński
1,
Karol P. Steckiewicz
1,*,
Sebastian P. Piwowarczyk
2,
Mateusz J. Kreczko
1,
Aleksander Aszkiełowicz
1 and
Radosław Owczuk
1
1
Department of Anesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdansk, 80-210 Gdańsk, Poland
2
Students Scientific Society, Department of Anesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdansk, 80-210 Gdańsk, Poland
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(3), 825; https://doi.org/10.3390/jcm11030825
Submission received: 28 December 2021 / Revised: 28 January 2022 / Accepted: 2 February 2022 / Published: 4 February 2022
(This article belongs to the Special Issue Anesthetic Management in Perioperative Period)
Browse Figure
Versions Notes

Abstract

:
Fasting prior to surgery can cause dehydration and alter hemodynamics. This study aimed to determine the impact of a carbohydrate-enriched drink (NutriciaTM Pre-op®) on selected hemodynamical parameters, measured in a non-invasive manner. We enrolled 100 healthy volunteers and measured their weight, height, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), thoracic fluid content (TFC), thoracic fluid index (TFCI), stroke volume (SV), stroke volume variation (SVV), stroke index (SI), cardiac output (CO), cardiac index (CI), heather index (HI), systolic time ration (STR), systemic time ratio index (STRI), systemic vascular resistance (SVR), and systemic vascular resistance index (SVRI) by a Niccomo™ device, implementing the impedance cardiography (ICG) method. Measurements were performed at the beginning of the study, and after 10 h and 12 h. We randomly allocated participants to the control group and the pre-op group. The pre-op group received 400 mL of Nutricia™ preOp®, as suggested in the ERAS guidelines, within 10 h of the study. Student’s t-test or the Mann–Whitney U test were used to compare the two groups, and p < 0.05 was considered significant. We did not observe any changes in hemodynamical parameters, blood pressure, and heart rate between the groups. We have proven that carbohydrate-enriched drink administration did not have a significant impact on the hemodynamical parameters of healthy volunteers.

1. Introduction

Preoperative, overnight fasting is a decades-old idea, introduced as prophylaxis for Mendelson syndrome, which is aspiration pneumonia with a poor prognosis [1]. Over the years, new evidence has come to light, and current guidelines recommend patients do not eat solid foods for 6 h and do not drink clear liquids for 2 h before surgery [2,3]. However old habits prove difficult to change, as fasting time still remains excessive in many hospitals (even up to 16 h) [4,5]. This can lead to dehydration, which has adverse effects on hemodynamic parameters, and in consequence, impairs oxygen delivery [6,7]. It is worth emphasising that a patient’s hydration is not routinely measured in the operating theatre, as neither heart rate nor blood pressure are sensitive indicators [8]. Fasting can also cause unwanted metabolic changes, which can increase the complication ratio, and thus preoperative carbohydrate treatment in the form of carbohydrate-rich drinks (so-called pre-op) are recommended by both enhanced recovery after surgery (ERAS) protocol and the European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines [2,9]. This can reduce patients’ anxiety and improve general well-being [10]. Surgical injury and fasting increase insulin resistance, causing complications in the postoperative period [11], carbohydrate treatment can alleviate this to some degree [10], and decrease the length of hospital stay [12]. Oppositely, a more recent meta-analysis shows no benefit of pre-op over placebo or water [13]. Due to inconsistent data, it is important to gather new evidence regarding this matter.
In our previous study, we measured changes in body water (total body water, intracellular water, extracellular water) and body composition in fasting individuals. We did not observe significant dehydration during overnight fasting, but nonetheless there was a significant difference in heart rate [14]. This prompted us to take a closer look at changes in hemodynamic parameters. While they are rarely measured directly in the operating theatre [15], improvements in bioelectrical impedance analysis may change this in the near future [16,17,18]. Although not a new concept, impedance cardiography (ICG) is becoming more and more accurate as new hardware and calculation algorithms are developed. It is already comparable to reference methods [19,20,21], providing a non-invasive alternative for hemodynamic monitoring.
In this study, we assessed the impact of a carbohydrate drink on cardiac output and systemic vascular resistance after overnight fasting using the ICG device. The study aimed to determine the impact of the carbohydrate-enriched drink (NutriciaTM Pre-op®, Nutricia, Warsaw, Poland) on selected hemodynamical parameters measured in a non-invasive manner. We hypothesized that the administration of liquid recommended by ERAS guidelines would improve the hemodynamical status of fasting healthy volunteers. According to our best knowledge, this relationship has not been previously studied. Furthermore, we were interested in determining the impact of fasting on hemodynamics.

2. Materials and Methods

This was an open label randomized controlled study conducted in Gdansk, Poland. The study was designed according to the regulation of Good Clinical Practice (GCP) and the 1964 Declaration of Helsinki and its amendments. Study protocol revied approval from the Independent Bioethics Committee for Scientific Research at the Medical University of Gdańsk (NKBBN/562/2021). The study was prospectively registered at ClinicalTraials.gov (NCT04972500) on 9 July 2021.

2.1. Participants

The study was performed on healthy individuals. Between 12 July 2021 and 4 November 2021, we enrolled 100 adult volunteers from the American Society of Anesthesiologists (ASA) status 1 and 2. Due to lack of literature data, the ex-ante calculation of groups sizes was impossible. Volunteers’ height had to be within a 120–230 cm range and the weight between 30 and 155 kg. Exclusion criteria were chronic kidney disease, circulatory failure, lung diseases, diseases of the heart valves, history of hypoglycaemic episodes, or any carbohydrate disturbance. For each participant, the study started at 9 p.m. when the first measurements were taken. Firstly, body mass and blood pressure were measured. Then, the skin was cleaned with alcohol to make skin-to-electrode impedance as low as possible. Two electrodes were placed on the thorax along the midaxillary line, and another two electrodes were placed on the neck. Hemodynamic parameters were measured in a supine position. Measurement was conducted according to manufacturer guidelines. After measurements, participants were asked to fast for 10 h; however, they could drink clear liquids for 2 h. The second and third measurements took place at 7.00 a.m. and 9.00 a.m. The measurements procedure was the same for all timepoints. After the second measurement, the participants were divided into two groups. A computer-generated randomization plan (www.randomization.com (accessed on 8 July 2021)) with allocation ratio 1:1 was implemented. The control group had to restrain from drinking till the third measurement, whereas the pre-op group received 400 mL of Nutricia™ PreOp® per os. The study protocol did not include follow up. Study protocol is presented in Figure 1.

2.2. Impedance Cardiography

Niccomo™ device (Medizinische Messtechnik GmbH, Ilmenau, Germany) was used to non-invasively measure hemodynamical parameters. The special algorithm allowed Niccomo™ to calculate hemodynamic-related parameters based on a variation of thoracic bio-impedance caused by changes in volume and velocity of blood in the aorta. Thoracic fluid content (TFC), thoracic fluid index (TFCI), stroke volume (SV), stroke volume variation (SVV), stroke index (SI), cardiac output (CO), cardiac index (CI), heather index (HI), systolic time ration (STR), systemic time ratio index (STRI), systemic vascular resistance (SVR), and systemic vascular resistance index (SVRI) were measured. A Signal Quality Indicator, which shows the quality of the beats used in the calculation, was used as a validation tool. All measurements had a high-quality index (>95%).

2.3. Carbohydrate Drink

Nutricia™ PreOp® was used in the study. Participants received 400 mL of liquid (50.4 g of carbohydrates), according to the recommendation of enhanced recovery after surgery (ERAS) protocol.

2.4. Statistical Analysis

The primary endpoints were changes in CI, SVRI, SV, and heart rate (HR). No interim analyses were performed. Data were analyzed with Prism 9 software (GraphPad Software, San Diego, CA, USA). Categorical variables are reported by the number and percentage of patients in each category. Continuous variables with a normal probability distribution are presented as the arithmetic mean with standard deviation. For the continuous variables with a different probability distribution, the median and the interquartile range (IQR) are given. The D’Agosition and Person test was used as a normality test. Fisher’s exact test, a two-tailed t-Student test or the Mann–Whitney U test were used to compare two groups regarding the data type and characteristic. Results were considered to be statistically significant if p < 0.05. The detailed protocol for statistical analysis was previously described by our team [14].

3. Results

One hundred volunteers were enrolled in the study. All participants completed the study protocol. The allocation ratio was 1:1, each study group (control and pre-op) consisted of 50 people. No significant differences between control and pre-op groups were found (Table 1).
We did not observe any differences in systolic (SBP) and diastolic (DBP) pressure or heart rate (HR) between groups. SBP and DBP were significant lower at the 10 h time point (Table 2).
No significant differences were observed between all measured hemodynamical parameters at the 0 h and 10 h time points. No significant differences between the pre-op and control groups were found at 12 h of the study (after randomization and carbohydrate-enrich drink administration) (Table 3). Additional parameters reported by Niccomo™ are presented in Table S1.

4. Discussion

Our goal was to access the impact of carbohydrate-rich drink on haemodynamic parameters in fasting, healthy individuals. We used the ICG device Niccomo™, which has been proven as a viable method for the non-invasive measurement of haemodynamic parameters when compared with thermodilution-derived methods [19,20,21]. The accuracy of the ICG method depended strictly on clinical scenario. Performed meta-analysis demonstrated good values of correlation coefficient; however, it must be noted that dose data were relatively old [22,23,24]. Generally, the correlation of ICG and reference method were the highest in healthy individuals (r2 around 0.7–0.8), and much lower in ICU patients and individuals with impaired cardiac function [22,24]. The indisputable advantage of the ICG method was its non-invasive character, which allowed it to be used on patients without indication to invasive monitoring. This approach minimalized the risks while providing useful clinical data. Transthoracic Doppler echocardiography (TTE) can also be used to measure haemodynamic parameters in a non-invasive way, and generally there is no significant difference in CO compared with the thermodilution. However, when structural changes are present in the heart, TTE accuracy is questionable [25]. Interestingly, Daralammouri et al. managed to overcome this shortcoming with the use of the ICG. They used both methods in tandem to measure the aortic valve area in patients with aortic valve stenosis; this hybrid approach significantly correlated to thermodilution method [26]. Liu et al. used the ICG device during cardiopulmonary exercise testing and six-minute walk test to improve peak oxygen uptake assessment in healthy volunteers [27]. ICG proved useful in assessing the impact of postural changes on haemodynamic parameters in healthy adults [28], infants [29,30,31], and surgery patients [32].
Several factors can contribute to perioperative hemodynamic changes. Firstly, fasting prior to surgery can cause dehydration [33]. Intubation itself causes changes in HR, SBP, and DBP [34]. Moreover, the drugs used during general anaesthesia are cardiodepressants, and hypotension during induction is a common complication [35]. Typically, the decreased mean arterial pressure and CI, as well as increased SVRI, are observed after the induction of general anaesthesia. SV can be lower, even by 62%, in comparison with the values before anaesthesia [6]. Unfortunately, conventional monitoring used in the operating theatre cannot adequately represent changes in hemodynamics; thus, these changes can be easily omitted [36]. Fortunately, appropriate intravenous fluid management can reverse this trend [6]; however, there are no data regarding if per os fluid administration can also be beneficial. Given that the perioperative administration of carbohydrate-rich drink has established a role in preventing other complications such as nausea, insulin resistance, and muscle loss [37,38,39], the question raised in our study is important and covers gaps in current knowledge.
We determined no significant differences between the pre-op and control groups regarding changes in haemodynamic parameters in fasting volunteers. Similarly, Alves et al. showed no changes in haemodynamic parameters after fasting in healthy (ASA I/II) volunteers as well. Although they used echocardiographic methods instead, their population was older (26–67 years old) and they did not examine the carbohydrate-rich drink impact on those changes [40]. Interestingly, in healthy males during physical activity, carbohydrate rich-drink could increase CO and decrease SVR in comparison to protein-rich drinks and water [41]. Even though fasting did not influence the hemodynamic parameters in healthy individuals, it is vital to provide proper fluid therapy as both hypo- and hypervolemia have detrimental effects on surgery outcome. It has to be emphasised that goal-directed fluid therapy is part of ERAS protocol [8,33].
We are aware of several limitations of this study. This is a single-centre study, in which healthy volunteers were included. We used non-invasive methods for hemodynamic assessment, which may be less reliable than invasive methods. We also did not perform this study in a crossover design. We did not have direct control over volunteers’ compliance; rather, we relied on their confirmation that they obeyed the study protocol. We also did not measure urine secretion.

5. Conclusions

We determined the impact of a carbohydrate-enriched drink (NutriciaTM Pre-op®) on hemodynamical parameters in fasting healthy individuals. We have proven that consuming this drink did not impact the volunteers’ hemodynamic status.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm11030825/s1, Table S1: Comparison of impedance cardiography (ICG) parameters.

Author Contributions

Study design and conceptualisation, A.A., R.O.; data acquisition, J.K., K.P.S., S.P.P., M.J.K.; statistical analysis and visualisation, K.P.S.; data interpretation, J.K., K.P.S., R.O.; writing—original draft preparation, J.K., K.P.S.; writing—critical review and editing, J.K., K.P.S., S.P.P., M.J.K., A.A., R.O.; supervision and funding, A.A., R.O. All authors have read and agreed to the published version of the manuscript.

Funding

The study was founded by resources of the Department of Anaesthesiology and Intensive Therapy of the Medical University of Gdansk.

Institutional Review Board Statement

The study protocol was approved on 2 July 2021 by Independent Bioethics Committee for Scientific Research at Medical University of Gdańsk (approval no. NKBBN/562/2021). The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments. All participates gave informed written consent before enrolment in the study.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data used to support the findings of this study are included within the article or are available from the corresponding author upon request.

Acknowledgments

We would like to thank Magdalena A. Wujtewicz, for her help and impact on the study. We would like to express our gratitude to the volunteers for their participation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Maltby, J.R. Fasting from midnight—The history behind the dogma. Best Pract. Res. Clin. Anaesthesiol. 2006, 20, 363–378. [Google Scholar] [CrossRef] [PubMed]
  2. Weimann, A.; Braga, M.; Carli, F.; Higashiguchi, T.; Hübner, M.; Klek, S.; Laviano, A.; Ljungqvist, O.; Lobo, D.N.; Martindale, R.G.; et al. ESPEN practical guideline: Clinical nutrition in surgery. Clin. Nutr. 2021, 40, 4745–4761. [Google Scholar] [CrossRef] [PubMed]
  3. Anesthesiologists, A.S. Practice Guidelines for Preoperative Fasting and the Use of Pharmacologic Agents to Reduce the Risk of Pulmonary Aspiration: Application to Healthy Patients Undergoing Elective Procedures. Anesthesiology 2017, 126, 376–393. [Google Scholar]
  4. El-Sharkawy, A.M.; Daliya, P.; Lewis-Lloyd, C.; Adiamah, A.; Malcolm, F.L.; Boyd-Carson, H.; Couch, D.; Herrod, P.J.; Hossain, T.; Couch, J.; et al. Fasting and surgery timing (FaST) audit. Clin. Nutr. 2021, 40, 1405–1412. [Google Scholar] [CrossRef]
  5. de Aguilar-Nascimento, J.E. Reducing preoperative fasting time: A trend based on evidence. World J. Gastrointest. Surg. 2010, 2, 57. [Google Scholar] [CrossRef]
  6. Li, Y.; He, R.; Ying, X.; Hahn, R.G. Dehydration, Hemodynamics and fluid volume optimization after induction of general anesthesia. Clinics 2014, 69, 809–816. [Google Scholar] [CrossRef]
  7. Gutierrez, D.S.G.; Gutiérrez, J.J.V.; Ruiz-Villa, J.O. Cardiac output estimation based on arterial and venous blood gas analysis: Proposal of a monitoring method. Anaesthesiol. Intensive Ther. 2021, 53, 179–183. [Google Scholar] [CrossRef]
  8. Miller, T.E.; Roche, A.M.; Mythen, M. Fluid management and goal-directed therapy as an adjunct to Enhanced Recovery after Surgery (ERAS). Can. J. Anesth. 2015, 62, 158–168. [Google Scholar] [CrossRef] [Green Version]
  9. Nygren, J.; Thacker, J.; Carli, F.; Fearon, K.C.; Norderval, S.; Lobo, D.N.; Ljungqvist, O.; Soop, M.; Ramirez, J. Guidelines for perioperative care in elective rectal/pelvic surgery: Enhanced recovery after surgery (ERAS®) society recommendations. World J. Surg. 2013, 31, 801–816. Available online: https://pubmed.ncbi.nlm.nih.gov/23052796/ (accessed on 1 November 2020). [CrossRef]
  10. Nygren, J.; Thorell, A.; Ljungqvist, O. Preoperative oral carbohydrate therapy. Curr. Opin. Anaesthesiol. 2015, 28, 364–369. [Google Scholar] [CrossRef]
  11. Nygren, J. The metabolic effects of fasting and surgery. Best Pract. Res. Clin. Anaesthesiol. 2006, 20, 429–438. Available online: https://pubmed.ncbi.nlm.nih.gov/17080694/ (accessed on 31 October 2020). [CrossRef]
  12. Smith, M.D.; Mccall, J.; Plank, L.; Herbison, G.P.; Soop, M.; Nygren, J. Preoperative carbohydrate treatment for enhancing recovery after elective surgery. Cochrane Database Syst. Rev. 2014, 14, CD009161. [Google Scholar] [CrossRef] [PubMed]
  13. Amer, M.A.; Smith, M.D.; Herbison, G.P.; Plank, L.D.; McCall, J.L. Network meta-analysis of the effect of preoperative carbohydrate loading on recovery after elective surgery. Br. J. Surg. 2017, 104, 187–197. [Google Scholar] [CrossRef] [PubMed]
  14. Kukliński, J.; Steckiewicz, K.P.; Sekuła, B.; Aszkiełowicz, A.; Owczuk, R. The influence of fasting and carbohydrate-enriched drink administration on body water amount and distribution: A volunteer randomized study. Perioper. Med. 2021, 10, 27. [Google Scholar] [CrossRef] [PubMed]
  15. Pang, Q.; Hendrickx, J.; Liu, H.L.; Poelaert, J. Contemporary perioperative haemodynamic monitoring. Anaesthesiol. Intensive Ther. 2019, 51, 147–158. [Google Scholar] [CrossRef]
  16. Mansouri, S.; Alhadidi, T.; Chabchoub, S.; Ben Salah, R. Impedance cardiography: Recent applications and developments. Biomed. Res. 2018, 29, 3542–3552. [Google Scholar] [CrossRef] [Green Version]
  17. Cleymaet, R.; Scheinok, T.; Maes, H.; Stas, A.; Malbrain, L.; De Laet, I.; Schoonheydt, K.; Dits, H.; van Regenmortel, N.; Mekeirele, M.; et al. Prognostic value of bioelectrical impedance analysis for assessment of fluid overload in ICU patients: A pilot study. Anaesthesiol. Intensive Ther. 2021, 53, 10–17. [Google Scholar] [CrossRef]
  18. Gijsen, M.; Simons, E.; de Cock, P.; Malbrain, M.L.N.G.; Wauters, J.; Spriet, I. Reproducibility of fluid status measured by bioelectrical impedance analysis in healthy volunteers: A key requirement to monitor fluid status in the intensive care unit. Anaesthesiol. Intensive Ther. 2021, 53, 193–199. [Google Scholar] [CrossRef]
  19. Kim, J.-Y.; Kim, B.-R.; Lee, K.-H.; Kim, K.-W.; Kim, J.-H.; Lee, S.-Y.; Kim, K.-T.; Choe, W.-J.; Park, J.-S.; Kim, J.-W. Comparison of cardiac output derived from FloTracTM/VigileoTM and impedance cardiography during major abdominal surgery. J. Int. Med. Res. 2013, 41, 1342–1349. [Google Scholar] [CrossRef]
  20. Scherhag, A.; Kaden, J.J.; Kentschke, E.; Sueselbeck, T.; Borggrefe, M. Comparison of impedance cardiography and thermodilution-derived measurements of stroke volume and cardiac output at rest and during exercise testing. Cardiovasc. Drugs Ther. 2005, 19, 141–147. [Google Scholar] [CrossRef]
  21. Kim, G.E.; Kim, S.Y.; Kim, S.J.; Yun, S.Y.; Jung, H.H.; Kang, Y.S.; Koo, B.N. Accuracy and efficacy of impedance cardiography as a non-invasive cardiac function monitor. Yonsei Med. J. 2019, 60, 735–741. [Google Scholar] [CrossRef] [PubMed]
  22. Fuller, H.D. The validity of cardiac output measurment by thoracic impedance: A meta-analysis. Clin. Investig. Med. 1992, 15, 103–112. [Google Scholar]
  23. Raaijmakers, E.; Faes, T.J.C.; Scholten, R.J.P.M.; Goovaerts, H.G.; Heethaar, R.M. A meta-analysis of three decades of validating thoracic impedance cardiography. Crit. Care Med. 1999, 27, 1203–1213. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Peyton, P.J.; Chong, S.W. Minimally invasive measurement of cardiac output during surgery and critical care: A meta-analysis of accuracy and precision. Anesthesiology 2010, 113, 1220–1235. Available online: http://pubs.asahq.org/anesthesiology/article-pdf/113/5/1220/252362/0000542-201011000-00037.pdf (accessed on 26 January 2022). [CrossRef] [Green Version]
  25. Zhang, Y.; Wang, Y.; Shi, J.; Hua, Z.; Xu, J. Cardiac output measurements via echocardiography versus thermodilution: A systematic review and meta-analysis. PLoS ONE 2019, 14, e0222105. [Google Scholar] [CrossRef]
  26. Daralammouri, Y.; Ayoub, K.; Badrieh, N.; Lauer, B. A hybrid approach for quantifying aortic valve stenosis using impedance cardiography and echocardiography. BMC Cardiovasc. Disord. 2016, 16, 19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Liu, F.; Tsang, R.C.C.; Jones, A.Y.M.; Zhou, M.; Xue, K.; Chen, M.; Wang, Y. Cardiodynamic variables measured by impedance cardiography during a 6-minute walk test are reliable predictors of peak oxygen consumption in young healthy adults. PLoS ONE 2021, 16, e0252219. [Google Scholar] [CrossRef]
  28. Kubota, S.; Endo, Y.; Kubota, M.; Ishizuka, Y.; Furudate, T. Effects of trunk posture in Fowler’s position on hemodynamics. Auton. Neurosci. Basic Clin. 2015, 189, 56–59. [Google Scholar] [CrossRef] [Green Version]
  29. Wu, T.W.; Lien, R.I.; Seri, I.; Noori, S. Changes in cardiac output and cerebral oxygenation during prone and supine sleep positioning in healthy term infants. Arch. Dis. Child. Fetal Neonatal Ed. 2017, 102, F483–F489. [Google Scholar] [CrossRef]
  30. Ma, M.; Noori, S.; Maarek, J.M.; Holschneider, D.P.; Rubinstein, E.H.; Seri, I. Prone positioning decreases cardiac output and increases systemic vascular resistance in neonates. J. Perinatol. 2015, 35, 424–427. [Google Scholar] [CrossRef]
  31. Paviotti, G.; Todero, S.; Demarini, S. Cardiac output decreases and systemic vascular resistance increases in newborns placed in the left-lateral position. J. Perinatol. 2017, 37, 563–565. [Google Scholar] [CrossRef] [PubMed]
  32. Borodiciene, J.; Gudaityte, J.; Macas, A. Lithotomy versus jack-knife position on haemodynamic parameters assessed by impedance cardiography during anorectal surgery under low dose spinal anaesthesia: A randomized controlled trial. BMC Anesthesiol. 2015, 15, 74. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Kendrick, J.B.; Kaye, A.D.; Tong, Y.; Belani, K.; Urman, R.D.; Hoffman, C.; Liu, H. Goal-directed fluid therapy in the perioperative setting. J. Anaesthesiol. Clin. Pharmacol. 2019, 35, S29–S34. [Google Scholar] [PubMed]
  34. Anandraja, R.; Ranjith Karthekeyan, B. A comparative study of haemodynamic effects of single-blinded orotracheal intubations with intubating laryngeal mask airway, Macintosh and McGrath video laryngoscopes. Anaesthesiol. Intensive Ther. 2021, 53, 30–36. [Google Scholar] [CrossRef] [PubMed]
  35. Bijker, J.B.; Van Klei, W.A.; Kappen, T.H.; Van Wolfswinkel, L.; Moons, K.G.M.; Kalkman, C.J. Incidence of intraoperative hypotension as a function of the chosen definition: Literature definitions applied to a retrospective cohort using automated data collection. Anesthesiology 2007, 107, 213–220. [Google Scholar] [CrossRef] [Green Version]
  36. Zepeda-Najar, C.; Palacios-Astudillo, R.X.; Chávez-Hernández, J.D.; Lino-Silva, L.S.; Salcedo-Hernández, R.A. Prognostic impact of microsatellite instability in gastric cancer. Wspolczesna Onkol. 2021, 25, 68–71. [Google Scholar] [CrossRef]
  37. Soop, M.; Nygren, J.; Thorell, A.; Weidenhielm, L.; Lundberg, M.; Hammarqvist, F.; Ljungqvist, O. Preoperative oral carbohydrate treatment attenuates endogenous glucose release 3 days after surgery. Clin. Nutr. 2004, 23, 733–741. [Google Scholar] [CrossRef]
  38. Yuill, K.A.; Richardson, R.A.; Davidson, H.I.M.; Garden, O.J.; Parks, R.W. The administration of an oral carbohydrate-containing fluid prior to major elective upper-gastrointestinal surgery preserves skeletal muscle mass postoperatively—A randomised clinical trial. Clin. Nutr. 2005, 24, 32–37. [Google Scholar] [CrossRef]
  39. Hausel, J.; Nygren, J.; Lagerkranser, M.; Hellström, P.M.; Hammarqvist, F.; Almström, C.; Lindh, A.; Thorell, A.; Ljungqvist, O. A carbohydrate-rich drink reduces preoperative discomfort in elective surgery patients. Anesth. Analg. 2001, 93, 1344–1350. [Google Scholar] [CrossRef] [Green Version]
  40. Alves, D.R.; Ribeiras, R. Does fasting influence preload responsiveness in ASA 1 and 2 volunteers? Braz. J. Anesthesiol. 2017, 67, 172–179. [Google Scholar] [CrossRef]
  41. Rontoyanni, V.G.; Werner, K.; Sanders, T.A.B.; Hall, W.L. Differential acute effects of carbohydrate- and protein-rich drinks compared with water on cardiac output during rest and exercise in healthy young men. Appl. Physiol. Nutr. Metab. 2015, 40, 803–810. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Jcm 11 00825 g001 550
Figure 1. Study protocol summary.
Figure 1. Study protocol summary.
Jcm 11 00825 g001
Table
Table 1. Patients’ characteristics at the beginning of the study. Values are number [%], or mean (SD).
Table 1. Patients’ characteristics at the beginning of the study. Values are number [%], or mean (SD).
VariableControl (n = 50)
Number [%]
Mean (SD)		Pre-op (n = 50)
Number [%]
Mean (SD)		p Value
Female27 (54%)32 (64%)0.4162
Age (y)23.70 (3.51)23.72 (3.12)0.9761
Height (cm)173.50 (10.12)173.30 (9.26)0.9263
Weight (kg)72.45 (15.86)67.53 (11.84)0.0819
Table
Table 2. Comparison of blood pressure and heart rate between groups. Values are median (IQR range), or mean (SD).
Table 2. Comparison of blood pressure and heart rate between groups. Values are median (IQR range), or mean (SD).
Variable0 h
Median (IQR)
Mean (SD)		10 h
Median (IQR)
Mean (SD)		12 h
Median (IQR)
Mean (SD)		p Value
(0 h vs. 10 h)		p Value
(Control vs. Pre-op)
ControlPre-op
SBP (mmHg)119.50 (12.21)114.80 (11.04)112.90 (10.99)111.30 (10.35)0.00520.4386
DBP (mmHg)72.37 (7.76)68.77 (6.32)68.70 (6.81)68.60 (6.82)0.00040.9417
HR (bmp)69.50 (63.00–77.00)67.91 (11.95)62.18 (9.81)63.60 (10.22)0.14660.4802
SBP—systolic blood pressure; DBP—diastolic blood pressure; HR—heart rate.
Table
Table 3. Comparison of hemodynamical parameters. Values are median (IQR range) or mean (SD).
Table 3. Comparison of hemodynamical parameters. Values are median (IQR range) or mean (SD).
Variable0 h
Median (IQR)
Mean (SD)		10 h
Median (IQR)
Mean (SD)		12 h
Median (IQR)
Mean (SD)		p Value
(0 h vs. 10 h)		p Value
(Control vs. Pre-op)
ControlPre-op
SVV (%)15 (11–18)14.5 (11–19)14.5 (11–21)14 (11.75–17)0.69820.6167
SV (mL)104 (23.85)102.9 (23.33)110 (23.61)105.3 (21.72)0.74190.3007
SI (mL m−2)56.45 (9.47)56.15 (8.9)58 (54–63)57.5 (53–62.25)0.81770.5035
CO (L min−1)7.28 (1.76)6.87 (1.51)6.77 (1.47)6.61 (1.39)0.07760.5766
CI (L min−1 m−2)3.94 (0.67)3.76 (0.65)3.65 (0.56)3.68 (0.64)0.05690.8815
SVRI (dyn s cm−5 m2)1640 (1423–1847)1661 (314.2)1688 (269)1681 (306.2)0.99850.9036
SVR (dyn s cm−5)893 (740–1120)904 (784.3–1064)931.7 (198.4)943.6 (184.8)0.94410.7588
SVV—stroke volume variation; SV—stroke volume; SI—stroke index; CO—cardiac output; CI—cardiac index; SVRI—systemic vascular resistance index; SVR—systemic vascular resistance.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kukliński, J.; Steckiewicz, K.P.; Piwowarczyk, S.P.; Kreczko, M.J.; Aszkiełowicz, A.; Owczuk, R. Effect of Carbohydrate-Enriched Drink Compared to Fasting on Hemodynamics in Healthy Volunteers. A Randomized Trial. J. Clin. Med. 2022, 11, 825. https://doi.org/10.3390/jcm11030825

AMA Style

Kukliński J, Steckiewicz KP, Piwowarczyk SP, Kreczko MJ, Aszkiełowicz A, Owczuk R. Effect of Carbohydrate-Enriched Drink Compared to Fasting on Hemodynamics in Healthy Volunteers. A Randomized Trial. Journal of Clinical Medicine. 2022; 11(3):825. https://doi.org/10.3390/jcm11030825

Chicago/Turabian Style

Kukliński, Jakub, Karol P. Steckiewicz, Sebastian P. Piwowarczyk, Mateusz J. Kreczko, Aleksander Aszkiełowicz, and Radosław Owczuk. 2022. "Effect of Carbohydrate-Enriched Drink Compared to Fasting on Hemodynamics in Healthy Volunteers. A Randomized Trial" Journal of Clinical Medicine 11, no. 3: 825. https://doi.org/10.3390/jcm11030825

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop