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Oral nutrition or water loading before hip replacement surgery; a randomized clinical trial
Trials volume 13, Article number: 97 (2012)
Surgery induces insulin resistance that might be alleviated by a nutritional drink given preoperatively. The authors hypothesized that some of the beneficial effects of the drink could be attributed to the volume component (approximately 1 L) rather than to the nutrients.
Sixty patients scheduled for elective total hip replacement under spinal anesthesia were recruited to a clinical trial, and randomly allocated to preoperative fasting, to oral ingestion of tap water, or to oral ingestion of a carbohydrate drink. An intravenous glucose tolerance test calculated glucose clearance and insulin sensitivity on the day before surgery, in the postoperative ward, and on the day after surgery. Other parameters were stress (cortisol in plasma and urine), muscle catabolism (urinary 3-methylhistidine), and wellbeing.
Fifty-seven patients completed the study. In the postoperative ward, the glucose clearance and the insulin response had decreased from the previous day by 23% and 36%, respectively. Insulin sensitivity did not decrease until the next morning (−48%) and was due to an increased insulin response (+51%). Cortisol excretion was highest on the day of surgery, while 3-methylhistidine increased 1 day later. Follow-up on the third postoperative day showed an average of 1.5 complications per patient. Wellbeing was better 2 weeks after than before the surgery. None of the measured parameters differed significantly between the study groups.
Preoperative ingestion of tap water or a nutritional drink had no statistically significant effect on glucose clearance, insulin sensitivity, postoperative complications, or wellbeing in patients undergoing elective hip surgery.
Registration number: NCT 01211184 (http://www.clinicaltrials.gov)
Elective hip replacement, which is a very common operation performed worldwide, involves a convalescence period of many weeks. The surgery creates a cascade of reactions in the body, including insulin resistance, stress hormone secretion, and, possibly, an imbalance in body fluid composition. These effects, in turn, create physical reactions, including degradation of muscle[3, 4].
Postoperative insulin resistance has been linked to nausea and vomiting, and to impairment of wellbeing but it can be limited or prevented by insulin, preoperative infusion[8, 9], or oral administration of glucose. A nutritional carbohydrate drink given before surgery might also prevent insulin resistance. However, whether the drink affects postoperative catabolism is unknown, although insulin resistance has been correlated with catabolism and intracellular dehydration after hysterectomy. The benefit of a nutritional drink with regard to overall postoperative wellbeing is still uncertain.
The hypothesis of the present study was that some beneficial effects of a nutritional drink after elective hip replacement surgery could be attributed to the volume component of the drink. The research, therefore, assessed the relationship between fluid intake, with and without carbohydrates, on metabolism (glucose clearance, insulin sensitivity, stress, and muscle catabolism), body fluid volumes, surgical complications, and postoperative wellbeing. A recently validated glucose tolerance test assessed insulin sensitivity.
Between May 2008 and September 2009, 60 patients between 44 and 89 years of age (mean age, 69 years) undergoing elective total hip replacement under spinal anesthesia were studied in an open randomized clinical trial. Total hip replacement surgery implies that both the acetabular cup and the femoral head are replaced. The cup is usually made of plastic while the head is of metal. The components can be either cemented or just pressed firmly against the bone. Total hip replacement surgery was chosen for the study because the surgical procedure is well standardized and intake of a carbohydrate drink is not yet a routine, which is recommended before abdominal surgery.
Exclusion criteria were endocrinologic disorders, including diabetes, and treatment with cortisone. The Regional Ethics Committee of Stockholm (Ref. 2007/1628-31/4) approved the protocol. Each patient gave his/her informed consent to participate. The most common diseases affecting the patients included hypertension (n = 17), previous thrombosis (n = 4), chronic obstructive pulmonary disease (n = 3), and previous cardiovascular surgery (n = 3).
Each patient was randomly assigned to one of three study groups by the sealed envelope method after all baseline parameters had been measured in the orthopedics department on the day before the surgery. Before the study started, the surgeon (SL) prepared 60 blank envelopes in which the treatment group in the proportion 1:1:1 was written on a piece of blank paper. The research nurse drew the envelopes which were mixed together in a large bucket and opened each of them together with the patient. The groups were:
Fasting: no food or water from midnight before the surgery (control)
Tap water: 800 mL by mouth, 2 h before entering the operating room
Nutrition: a carbohydrate drink (50 kcal/100 mL; PreopR, NutriciaNordica AB, Stockholm, Sweden) 800 mL in the evening before the surgery (Day 0) and 400 mL 2 h before entering the operating room (Day 1)
Cemented total hip replacements were performed under spinal anesthesia (cement was avoided in three middle-aged patients). Patient monitoring consisted of pulse oximetry and non-invasive blood pressure and heart rate measurement. At the end of surgery, patients with more than minimal bleeding were given 1 g of tranexamic acid intravenously (Cyklokapron, Meda AB, Solna, Sweden).
Postoperative pain was managed using an epidural catheter with a continuous infusion of levobupivacaine and sufentanil (n = 22) or a wound catheter with ropivacaine and ketorolac (n = 25; the hospital practice changed during the study period). All patients were also given oral paracetamol. Oral oxycodone served as the rescue pain reliever.
Figure1 shows the scheme used for these measurements.
Intravenous glucose tolerance test (IVGTT)
A short IVGTT was performed in the fasting state on Day 0, 2 to 3 h after surgery on Day 1, and before breakfast on Day 2. A bolus of 0.2 g/kg of glucose was injected as a 30% solution over 4 min, and were measured at baseline and at 10, 20, 30, 45, 60, and 75 min. Plasma glucose was measured on a Modular P (Roche Diagnostics, Tokyo, Japan) and plasma insulin on a Roche-Hitachi Modular E170 (Hitachi, Tokyo, Japan).
The serum cortisol concentration was measured 2 to 3 h after the surgery ended; it was analyzed on the Roche-Hitachi Modular E170. The free cortisol fraction over time was estimated from the ratio of the cortisol and creatinine concentrations in the urine collected from a urinary bladder catheter inserted just before the operation started and up to the morning of Day 2. A second urinary collection began on the morning of Day 2 and ended on the morning of Day 3. The method used for the cortisol analysis was liquid chromatography tandem-mass spectrometry[16, 17].
The breakdown of muscular protein was quantified in the urine collected on Day 2 and Day 3 by measuring the ratio of 3-methylhistidine (3-MH) to creatinine, using a Biochrom 30 amino acid analyzer (Biochrom Ltd., Cambridge, UK)[18, 19]. All patients were served lactovegetarian food from the day before surgery (Day 0) and throughout their hospital stay to prevent the confounding effects of exogenous meat on the excretion of 3-MH.
Body fluid volumes
Bioelectrical impedance analysis using a Xitron 4000B Spectrum Analyzer (Xitron Technologies Inc., San Diego, CA, USA) estimated the extracellular, intracellular, and total body fluid volumes (ECF, ICF, and TBW, respectively)[20, 21]. Each value was the mean of three successive recordings based on the preoperative body weight.
Three approaches were used to collect data on complications. The hand-written medical records from the perioperative period and postoperative ward were used to calculate the mean systolic pressure and also to count the number of postoperative hypotensive events, defined as systolic arterial pressure <80 mmHg.
In the second approach, a research nurse used a checklist of 18 complications based on two published schemes[22, 23] to register all postoperative adverse events up to Day 3. Finally, an orthopedic surgeon blinded to the randomization listed the complications during the entire hospital stay as noted by the hospital staff in the digital medical records.
The kinetics of the glucose infused during the IVGTT was analyzed to characterize how effectively the study participants handled the exogenous glucose. In a one-compartment turnover model, the plasma concentration of glucose above baseline (C) at any time (t) resulting from the rate Ro was calculated from the following differential equation[12, 14]:
in which V d is the volume of distribution and CL the clearance of glucose.
The best estimates and the associated standard deviations for the unknown parameters V d and CL in this equation were estimated for each experiment individually by applying a non-linear least-squares regression routine, based on the Gauss-Newton method, to the analytical solution of the differential equation until no parameter changed by more than 0.1% in each iteration. Matlab version 4.2 (Math Works Inc., Natick, MA, USA) was used. The half-life (T1/2) was calculated as ln 2 . V d /CL.
The glucose kinetic parameters and the area under the curve indicating plasma insulin (AUCins) above baseline during the IVGTT were used to estimate insulin sensitivity:
The result was expressed as the Mbw of a hyperinsulinemic glucose clamp, to which the present approach was compared in non-diabetic volunteers with r = 0.80 and a 25th-75th prediction error of ±10%. The same relationship has been previously evaluated as an index of insulin sensitivity from short IVGTTs in 496 diabetic and non-diabetic patients.
Insulin sensitivity was also assessed with the ‘Quicki’ method, which uses the plasma glucose and insulin concentrations at baseline:
In the equation, the symbols denote the 10-logarithm of the P-glucose (i.e. the plasma glucose) and plasma insulin concentrations.
Four scales previously used and validated in healthcare assessed life quality. The patient filled in these forms in the afternoon on the day before surgery. A research nurse interviewed the patients and filled in the forms once more 2 weeks after the surgery. The health index (HI) was also applied on the second postoperative day.
The wellbeing questionnaire (W-BQ12) consists of 12 items designed to acquire information about different aspects of psychological wellbeing[26, 27]. The scale measures ‘energy’ and negative and positive wellbeing with four statements for each; the patient can respond using one of four levels. Higher values denote better general wellbeing.
Health index (HI) is a Swedish questionnaire in which the patient responds to 10 questions about ‘energy’, temper, mood, fatigue, loneliness, sleep, vertigo, bowel function, pain, mobility, and overall health during the past week. When applied on the day after surgery, the questions pertain to the situation during the past 12 h. Answers can be given on four levels in which: 1 = very poor; 2 = rather poor; 3 = rather good; and 4 = very good. Hence, the highest total HI score for a patient is 40 and the lowest is 10. The test has been used to study self-perceived health status after ileal conduit urinary diversion and after laparoscopic cholecystectomy.
Chalder’s Fatigue Scale (FQ) consists of 14 questions, which cover both physical and mental aspects of fatigue. A ‘yes’ answer to a question about fatigue is graded as 1 and a ‘no’ answer as 2. Uncertain answers were graded as 1.5. The scale has been used to study fatigue in cancer but also in other fields, such as in population surveys. Translation from English to Swedish was checked through back-translation. The wording was virtually identical except in one question where ‘sleepy or drowsy’ was back-translated to ‘tired or lethargic’.
EQ-VAS is a ruler for rating self-perceived health; it is the last item of the EQ-5D.
The study was powered to detect a difference in the CL for glucose of 30% between any of the study groups and the control with a certainty of 90%. Reference data were obtained from both the preoperative and postoperative studies. In non-diabetic healthy humans CL has been 0.72 (mean, SD 0.18) and 0.60 (0.26). During laparoscopy CL has been 0.21 (0.05) and on the second postoperative day in hysterectomy patients 0.42 (0.08). The mean of these values yields a standardized difference of 1.05 which was entered into a nomogram showing that 18 patients per group were required. The ability of the study to detect postoperative differences would be better than preoperative ones due to less expected scattering of those data.
The means (SD) of differences between the groups were evaluated with variance of analysis (ANOVA). When there was a skewed distribution, the data were expressed as the median (25th-75th percentile range), and the differences studied with the Kruskal-Wallis test. Changes during the study were evaluated with the Wilcoxon matched-pair test. Incidence data were studied with the chi-square test. Cronbach’s alpha coefficient was used to test the reliability of the tests of wellbeing. P <0.05 was considered statistically significant.
Sixty patients were randomly chosen and 57 completed the study (three dropped out due to personal reasons). Thirty of 171 insulin AUCs had to be discarded due to occasional hemolysis (Figure2).
Data on the course of the surgery did not differ significantly between the study groups (Table1). Overall, the operations lasted for an average of 106 (23) min and the average blood loss amounted to 400 (300–600) mL.
Glucose and insulin
The baseline concentrations of plasma glucose and insulin before surgery were virtually identical in the three study groups, the pooled data being 5.0 (0.6) mmol/L and 39 (26–71) pmol/L, respectively. Plasma glucose at baseline was 16% higher on Day 1 and a further 10% higher on Day 2 (both P <0.001). The participants’ baseline insulin was unchanged, except for an increase observed in the Nutrition group, on Day 2 (P <0.01).
The mean plasma glucose during the IVGTTs on the three consecutive days was 8.3 (1.0), 9.7 (1.5), and 9.9 (1.3) mmol/L, respectively (Figure3).
CL was reduced by 23% (Day 1) and 11% (Day 2), with no significant differences between the groups. T 1/2 increased by 60% (Day 1) and 35% (Day 2; Table2).
The mean plasma insulin concentration during the IVGTT decreased slightly in the postoperative ward (P <0.03), but then rose by 18% on Day 2 (P <0.001; Figure4). The AUC changed by −36% (Day 1) and +51% (Day 2) as compared to the preoperative value (both P <0.001). The same pattern appeared in all three groups.
The insulin sensitivity on Day 0 (expressed as Mbw) was 31 (19–41) μmol/kg/min when derived from the IVGTT. Mbw showed no statistically significant change from Day 0 to Day 1 but decreased on Day 2 (P <0.001). The decrease was much greater when based on the IVGTT (−48%) compared to ‘Quicki’ (−8%; Table2).
Physical stress, catabolism, and body fluid volumes
Plasma cortisol in the postoperative ward was 359 (182–601) nmol/L; no statistically significant differences were observed between the groups. Urine cortisol decreased by 26% between Day 1 and Day 2 (P <0.005; Table3).
Muscle catabolism, as indicated by the urinary 3-MH/creatinine ratio, did not differ significantly between the groups. The participants’ overall excretion decreased by 7% from Day 1 to Day 2 (P <0.015; Table3).
The average ECF volume was unchanged by the surgery. The ICF volume increased by 4% on Day 1 and 3% on Day 2 (not significant, Table3).
No statistically significant differences were observed between the study groups with respect to peri- and postoperative hemodynamics.
The nurse’s follow-up showed that a mean of 1.5 complications occurred per patient by Day 3. Pain, nausea, and hypotension were most common (Table4). Pain scores were virtually identical in those who received a local anesthetic via an epidural and a wound catheter (data not shown).
Only a mean of 0.3 complications per patient was recorded in the digital journal.
The median hospital stay was one day shorter in the Nutrition group (5 days) than in the other two groups (6 days) but the difference was not statistically significant (P = 0.36).
W-BQ12 scores on general well-being increased after the surgery, from 27 (20–29) to 31 (25–33) points (P <0.0001) with no difference between the groups (Figure5A, B).
The total HI score changed from 29 (24–32) before surgery to 26 (23–29; P <0.005) postoperatively, while it increased to 31 (29–34) 2 weeks later (P <0.001, Figure5C). Two weeks postoperatively, HI was lower in the Water group compared to the Nutrition group (P <0.02).
The total FQ score changed from 23 (20–27) to 26 (24–27; P <0.001) with no difference between the groups (Figure5 D, E).
The EQ-VAS score changed from 60 (40–70) before surgery to 75 (63–80) 2 weeks later (P <0.001) with no difference between the groups (Figure5F).
The Cronbach’s alpha coefficients for the responses to the W-BQ12, HI, and FQ tests before surgery were 0.80 (mean of the three parts), 0.85, and 0.87, respectively. Two weeks after surgery, the corresponding values were lower: 0.72, 0.71, and 0.71.
Ingestion of a carbohydrate drink before surgery is believed to improve postoperative wellbeing by preventing the trauma-induced impairment of the glucose metabolism[10, 11, 36–38]. The present study was undertaken to examine whether these effects could at least partly be explained by the fact that the nutritional drink contains a large amount of water (1.2 L). This question was to be answered by studying if the results in the Water group would be close to those obtained in the Fasting group or in the Nutrition group. To our surprise, neither preoperative intake of tap water nor the nutritional drink did affect glucose kinetics, insulin sensitivity, hemodynamics, complications, hospital time, or wellbeing after elective hip replacement surgery. The study was powered to detect a difference in glucose clearance but some other parameters, such as insulin sensitivity and wellbeing, would probably need larger study groups to arrive at safe conclusions. However, the lack of even trends towards benefits for the interventions is striking.
There are reasons to believe that either tap water or nutrition should promote better-off patients. Hypovolemia is apparently common in the preoperative setting; therefore, volume optimization should reduce the incidence of postoperative complications. Those who received water were allowed 2 h to excrete excess fluid; doctors then assumed that the patients were well hydrated and that they were more likely to have a more normal blood volume when surgery started. However, no benefit from oral water over the fasting state was found.
Researchers have previously proposed that replacing preoperative fasting with caloric intake modified the metabolic response to surgery. The nutritional drink preparation, which loads the liver with carbohydrates, has been shown to preserve insulin sensitivity after colorectal and hip surgery but not after cardiac surgery. Moreover, researchers have claimed that carbohydrate drinks improve wellbeing and reduce nausea and vomiting[8, 9, 38] although these results have not been consistent[13, 42]; this study could not confirm the claim. Our results showed that preoperative fasting and the nutritional drink were followed by the same degree of urinary cortisol excretion, muscle catabolism, and length of hospital stay.
The present study adds to our knowledge about the time course of the development of postoperative insulin resistance. Hyperglycemia developed within hours after the surgery, but it was matched by the inhibition of the insulin response to glucose. Insulin resistance did not develop until the next day, and was then associated with a boosted insulin response to glucose. This sequence of events agrees with that of adolescents who develop type 2 diabetes. Another observation is that high cortisol excretion preceded an increase in muscle catabolism by 1 day.
Insulin sensitivity was quantified with an IVGTT[14, 24], which, in contrast to the hyperinsulinemic glucose clamp, provides information about the intrinsic insulin response. The IVGTT induces a smaller insult to normal physiology than the clamp, and therefore, lends itself to repetition during the postoperative follow-up.
Insulin sensitivity was also assessed with the ‘Quicki’ equation, which, just like the older HOMA test, uses the baseline values of plasma glucose and insulin. These simple tests are intended for population studies but have also been applied after surgery[38, 41]. The baseline values were much less affected by the surgery (−8%) compared to the glucose tolerance test (−48%), which provided results more in accordance with those of the hyperinsulinemic clamp[10, 37].
The scales describing perceived health and wellbeing yielded higher values than before the operation as little as 2 weeks after hip replacement surgery. The difference ranged between 7% and 30%. The W-BQ12 and FQ scales support that the improvements can be attributed to several aspects of wellbeing, such as perceived ‘energy’ and both mental and physical health. As expected, a dip in the HI score occurred 2 days after the surgery, but for ethical reasons, not all protocols for evaluating wellbeing were used in the early postoperative period.
The scales selected for the study ask questions pertinent to early convalescence. Several scales were used to obtain as complete view of the postoperative wellbeing as possible. Previous studies of health after total hip replacement have focused on the outcome of the implant, and therefore, used a follow-up period of 3 to 12 months[44, 45]. They confirmed that the surgery improved both physical and mental aspects of wellbeing. EQ-VAS applied before, and 1 year after the surgery, yielded almost identical values as those reported here after only 2 weeks. This suggests that most or all of the improvement in wellbeing occurs early after the hip replacement surgery.
The capacity of the preoperative nutritional drink to preserve insulin sensitivity is a key argument for recommending its use before surgery. This evidence stems from two small studies. Insulin sensitivity was better maintained in six patients who were given the carbohydrate drink before colorectal operations compared to seven patients who were in the fasting state. The conclusion is valid only by assuming a linear relationship between insulin resistance and the operating time, which was not found in the present study (data not shown).
The same carbohydrate drink preserved insulin sensitivity to a higher degree in eight patients than in another seven who received the placebo drink before elective hip surgery. However, the latter group was younger and had 22% higher insulin sensitivity at baseline. A third reference on this topic provides a duplicate report summarizing the findings of the first two. Other authors have investigated this issue by using the HOMA test; these investigations both support and refute the hypothesis.
The present study has several limitations. The trial was non-blinded as blinding was considered difficult to carry out in the fasting group. The difference in volumes of fluid administered 2 h before the surgery was due to the differences in volumes of distribution between tap water (TBW) and a carbohydrate drink (ECF volume). The Fasting group received 10% more colloid fluid during the surgery than the other two groups, but they also bled 13% more. The study layout was based on the assumption that the nutritional drink would preserve insulin sensitivity and reduce the incidence of complications, whereby focus was on postoperative comparisons between the groups. This fact explains why cortisol and 3-MH were not measured preoperatively.
Another limitation was that insulin sensitivity was not measured with the clamp technique, which is the golden standard method, although intravenous glucose tolerance is a widely accepted alternative. The relatively sparse sampling scheme, motivated by ethical considerations of maximum blood sampling volume, has recently been validated against the hyperglycemic glucose clamp[14, 24]. However, hemolysis in some insulin samples made the reported values too uncertain to be included in calculations of the AUC. Therefore, 18% of the AUCs for insulin had to be deleted, which resulted in insulin sensitivity being based on fewer data than originally intended.
This randomized controlled trial shows that neither the preoperative intake of tap water nor a nutritional drink alleviates the reduction of the glucose clearance that occurs after elective hip replacement surgery. Moreover, there was no evidence that these treatments affected insulin sensitivity, hemodynamics, the incidence of postoperative complications, or wellbeing.
Stefan Ljunggren is MD and specialist in orthopedics. He is currently a PhD Student. Robert G Hahn is MD is professor of anesthesiology and intensive care.
Area under the curve
- ECF and ICF:
Extra- and intracellular fluid
Homeostatic model assessment
Intravenous glucose tolerance test
Quantitative insulin sensitivity check index
Total body water
- Vd :
Volume of distribution
A well-being questionnaire with 12 questions
Ashby E, Grocott MP, Haddad FS: Outcome measures for orthopaedic interventions on the hip. J Bone Joint Surg Br. 2008, 90: 545-549. 10.1302/0301-620X.90B5.19746.
Ljungqvist O, Nygren JA, Thorell A: Insulin resistance and elective surgery. Surgery. 2000, 128: 757-760. 10.1067/msy.2000.107166.
Ljungqvist O, Soop M, Hedstrom M: Why metabolism matters in elective orthopedic surgery: a review. Acta Orthop. 2007, 78: 610-615. 10.1080/17453670710014293.
Hedström M, Ljungqvist O, Cederholm T: Metabolism and catabolism in hip fracture patients: nutritional and anabolic intervention - a review. Acta Orthop. 2006, 77: 741-747. 10.1080/17453670610012926.
Hausel J, Nygren J, Thorell A, Lagerkranser M, Ljungqvist O: Randomized clinical trial of the effects of oral preoperative carbohydrates on postoperative nausea and vomiting after laparoscopic cholecystectomy. Br J Surg. 2005, 92: 415-421. 10.1002/bjs.4901.
Lauwick SM, Kaba A, Maweja S, Hamoir EE, Joris JL: Effects of oral preoperative carbohydrate on early postoperative outcome after thyroidectomy. Acta Anaesthesiol Belg. 2009, 60: 67-73.
Brandi LS, Frediani M, Oleggini M, Mosca F, Cerri M, Boni C, Pecori N, Buzzigoli G, Ferrannini E: Insulin resistance after surgery: normalization by insulin treatment. Clin Sci (Lond). 1990, 79: 443-450.
Ljungqvist O, Thorell A, Gutniak M, Haggmark T, Efendic S: Glucose infusion instead of preoperative fasting reduces postoperative insulin resistance. J Am Coll Surg. 1994, 178: 329-336.
Nygren JO, Thorell A, Soop M, Efendic S, Brismar K, Karpe F, Nair KS, Ljungqvist O: Perioperative insulin and glucose infusion maintains normal insulin sensitivity after surgery. Am J Physiol. 1998, 275: E140-E148.
Nygren J, Soop M, Thorell A, Sree Nair K, Ljungqvist O: Preoperative oral carbohydrates and postoperative insulin resistance. Clin Nutr. 1999, 18: 117-120. 10.1016/S0261-5614(99)80063-6.
Ljungqvist O: Insulin resistance and outcomes in surgery. J Clin Endocrinol Metab. 2010, 95: 4217-4219. 10.1210/jc.2010-1525.
Strandberg P, Hahn RG: Volume kinetics of glucose 2.5% solution and insulin resistance after abdominal hysterectomy. Br J Anaesth. 2005, 94: 30-38.
Bisgaard T, Kristiansen VB, Hjortso NC, Jacobsen LS, Rosenberg J, Kehlet H: Randomized clinical trial comparing an oral carbohydrate beverage with placebo before laparoscopic cholecystectomy. Br J Surg. 2004, 91: 151-158. 10.1002/bjs.4412.
Hahn RG, Ljunggren S, Larsen F, Nyström T: A simple intravenous glucose tolerance test for assessment of insulin sensitivity. Theor Biol Med Model. 2011, 8: 12-10.1186/1742-4682-8-12.
Lassen K, Soop M, Nygren J, Cox BW, Hendry PO, Spies C, von Meyenfeldt MF, Fearon KCH, Revhaug A, Norderval S, Ljungqvist O, Lobo DN, Dejong CHC, for the Enhanced Recovery After Surgery (ERAS) Group: Consensus review of optimal perioperative care in colorectal surgery. Enhanced Recovery After Surgery (ERAS) Group recommendations. Arch Surg. 2009, 144: 961-969. 10.1001/archsurg.2009.170.
Vogeser M, Parhofer KG: Liquid chromatography tandem-mass spectrometry (LC-MS/MS)–technique and applications in endocrinology. Exp Clin Endocrinol Diabetes. 2007, 115: 559-570. 10.1055/s-2007-981458.
Vogeser M: Liquid chromatography-tandem mass spectrometry - application in the clinical laboratory. Clin Chem Lab Med. 2003, 41: 117-126.
Sjölin J, Hjort G, Friman G, Hambraeus L: Urinary excretion of 1-methylhistidine: a qualitative indicator of exogenous 3-methylhistidine and intake of meats from various sources. Metabolism. 1987, 36: 1175-1184. 10.1016/0026-0495(87)90245-9.
Elia M, Carter A, Bacon S, Winearls CG, Smith R: Clinical usefulness of urinary 3-methylhistidine excretion in indicating muscle protein breakdown. Br Med J (Clin Res Ed). 1981, 282: 351-354. 10.1136/bmj.282.6261.351.
De Lorenzo A, Andreoli A, Mattihie J, Withers P: Predicting body cell mass with bioimpedance by using theoretical methods: a technological review. J Appl Physiol. 1997, 82: 1542-1558.
Johnson HL, Virk SP, Mayclin P, Barbieri T: Predicting total body water and extracellular fluid volumes from bioelectrical measurements of the human body. J Am Coll Nutr. 1992, 11: 539-547.
Bennett-Guerrero E, Welsby I, Dunn TJ, Young LR, Wahl TA, Diers TL, Phillips-Bute BG, Newman MF, Mythen MG: The use of a postoperative morbidity survey to evaluate patients with prolonged hospitalization after routine, moderate-risk, elective surgery. Anesth Analg. 1999, 89: 514-519.
Brandstrup B, Tonnesen H, Beier-Holgersen R, Hjortso E, Ording H, Lindorff-Larsen K, Rasmussen MS, Lanng C, Wallin L, Iversen LH, Gramkow CS, Okholm M, Blemmer T, Svendsen PE, Rottensten HH, Thage B, Riis J, Jeppesen IS, Teilum D, Christensen AM, Graungaard B, Pott F, Danish Study Group on Perioperative Fluid Therapy: Effects of intravenous fluid restriction on postoperative complications: comparison of two perioperative fluid regimens: a randomized assessor-blinded multicenter trial. Ann Surg. 2003, 238: 641-648. 10.1097/01.sla.0000094387.50865.23.
Tura A, Sbrignadello S, Succurro E, Groop L, Sesti G, Pacini G: An empirical index of insulin sensitivity from short IVGTT: validation against the minimal model and glucose clamp indices in patients with different clinical characteristics. Diabetologia. 2010, 53: 144-152. 10.1007/s00125-009-1547-9.
Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, Quon MJ: Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Endocrinol Metab. 2000, 85: 2402-2410. 10.1210/jc.85.7.2402.
Pouwer F, Snoek FJ, van der Ploeg HM, Ader HJ, Heine RJ: The well-being questionnaire: evidence for a three-factor structure with 12 items (W-BQ12). Psychol Med. 2000, 30: 455-462. 10.1017/S0033291700001719.
Wredling R, Stålhammar J, Adamson U, Berne C, Larsson Y, Östman J: Well-being and treatment satisfaction in adults with diabetes: a Swedish population-based study. Qual Life Res. 1995, 4: 515-522. 10.1007/BF00634746.
Nordström G, Nyman CR, Theorell T: Psychosocial adjustment and general state of health in patients with ileal conduit urinary diversion. Scand J Urol Nephrol. 1992, 26: 139-147.
Barthelsson C, Anderberg B, Ramel S, Björvell C, Giesecke K, Nordström G: Outpatient versus inpatient laparoscopic cholecystectomy: a prospective randomized study of symptom occurrence, symptom distress and general state of health during the first postoperative week. J Eval Clin Pract. 2008, 14: 577-584. 10.1111/j.1365-2753.2007.00920.x.
Chalder T, Berelowitz G, Pawlikowska T, Watts L, Wessely S, Wright D, Wallace EP: Development of a fatigue scale. J Psychosom Res. 1993, 37: 147-153. 10.1016/0022-3999(93)90081-P.
Kocalevent RD, Hinz A, Brähler E, Klapp BF: Determinants of fatigue and stress. BMC Research Notes. 2011, 4: 238-10.1186/1756-0500-4-238.
The EuroQol Group: EuroQol–a new facility for the measurement of health-related quality of life. Health Policy. 1990, 16: 199-208.
Sjöstrand F, Edsberg L, Hahn RG: Volume kinetics of glucose solutions given by intravenous infusion. Br J Anaesth. 2001, 87: 834-843. 10.1093/bja/87.6.834.
Sjöstrand F, Hahn RG: Volume kinetics of 2.5% glucose solution during laparoscopic cholecystectomy. Br J Anaesth. 2004, 92: 485-492. 10.1093/bja/aeh095.
Altman DG: Statistics and ethics in medical research. III. How large a sample?. BMJ. 1980, 281: 1336-1338. 10.1136/bmj.281.6251.1336.
Nygren J, Soop M, Thorell A, Efendic S, Nair KS, Ljungqvist O: Preoperative oral carbohydrate administration reduces postoperative insulin resistance. Clin Nutr. 1998, 17: 65-71.
Soop M, Nygren J, Myrenfors P, Thorell A, Ljungqvist O: Preoperative oral carbohydrate treatment attenuates immediate postoperative insulin resistance. Am J Physiol Endocrinol Metab. 2001, 280: E576-E583.
Wang ZG, Wang Q, Wang WJ, Qin HL: Randomized clinical trial to compare the effects of preoperative oral carbohydrate versus placebo on insulin resistance after colorectal surgery. Br J Surg. 2010, 97: 317-327. 10.1002/bjs.6963.
Svensen CH, Olsson J, Hahn RG: Intravascular fluid administration and hemodynamic performance during open abdominal surgery. Anesth Analg. 2006, 103: 671-676. 10.1213/01.ane.0000226092.48770.fe.
Giglio MT, Marucci M, Testini M, Brienza N: Goal-directed haemodynamic therapy and gastrointestinal complications in major surgery. Br J Anaesth. 2009, 103: 637-646. 10.1093/bja/aep279.
Rapp-Kesek D, Stridsberg M, Andersson LG, Berne C, Karlsson T: Insulin resistance after cardiopulmonary bypass in the elderly patient. Scand Cardiovasc J. 2007, 41: 102-108. 10.1080/14017430601050355.
Henriksen MG, Hessov I, Dela F, Hansen HV, Haralsted V, Rodt SA: Effects of preoperative oral carbohydrates and peptides on postoperative endocrine response, mobilization, nutrition and muscle function in abdominal surgery. Acta Anaesthesiol Scand. 2003, 47: 191-199. 10.1034/j.1399-6576.2003.00047.x.
Bacha F, Lee S, Gungor N, Arslanian SA: From pre-diabetes to type 2 diabetes in obese youth: pathophysiological characteristics along the spectrum of glucose dysregulation. Diabetes Car. 2010, 33: 2225-2231. 10.2337/dc10-0004.
Ostendorf M, van Stel HF, Buskens E, Schrijvers AJ, Marting LN, Verbout AJ, Dhert WJ: Patient-reported outcome in total hip replacement. A comparison of five instruments of health status. J Bone Joint Surg Br. 2004, 86: 801-808. 10.1302/0301-620X.86B6.14950.
Wiklund I, Romanus B: A comparison of quality of life before and after arthroplasty in patients who had arthrosis of the hip joint. J Bone Joint Surg Am. 1991, 73: 765-769.
Riediger W, Doering S, Krismer M: Depression and somatisation influence the outcome of total hip replacement. Int Orthop. 2010, 34: 13-18. 10.1007/s00264-008-0688-7.
Muniyappa R, Lee S, Chen H, Quon MJ: Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. Am J Physiol Endocrinol Metab. 2008, 294: E15-E26.
Research nurses Nermin Varli and Lena K Johansson performed the measurements. Financial support was received from the Olle Engkvist Byggmästare Foundation the Stockholm County Council (Grant number 2009–0433).
The authors declare that they have no competing interests.
SL recruited and informed the patients, was responsible for references, and co-wrote the manuscript. RH planned the study, wrote appropriate applications, and had the main responsibility for the content of the manuscript. Both authors read and approved the final manuscript.
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Ljunggren, S., Hahn, R.G. Oral nutrition or water loading before hip replacement surgery; a randomized clinical trial. Trials 13, 97 (2012) doi:10.1186/1745-6215-13-97
- Glucose tolerance test
- Glucose clearance
- Insulin resistance
- Health index