Journal List > Ann Hepatobiliary Pancreat Surg > v.21(1) > 1089607

Neethirajan and Rachapoodivenkata: Oral glucose tolerance test for preoperative assessment of liver function in liver resection

Abstract

Backgrounds/Aims

We intended to determine the role of the Oral glucose tolerance test (OGTT), in addition to volumetry, in preoperative assessment of patients undergoing liver resection.

Methods

This was a prospective study conducted at a tertiary care hospital, between February 2009 and February 2011. OGTT curve (parabolic/linear), linearity index (LI) and Parenchymal Hepatic Resection Rate (PHRR) were correlated with postoperative outcomes in terms of postoperative liver failure (PLF), by 50-50 criteria, morbidity, mortality and hospital stay.

Results

Of the 33 patients included in the study, 23 (69.7%) patients underwent major liver resections. Hepatocellular carcinoma (30.3%) was the leading indication. The overall postoperative morbidity rate was 72.7%, but major complications occurred in 3 (9.1%) patients only. There was no 90-day mortality. The 50-50 criteria were met by 3 patients undergoing major resection. Significant correlation was noted between the linear OGTT curve and the overall hospital stay (12.1 days vs. 9.6 days in parabolic; p=0.04). Patients with linear OGTT met the 50-50 criteria more often (18%) than those having a parabolic curve (4.5%; p=0.25). Although the OGTT was more often linear with occurrence of morbidity (41.7% vs 11.1%), major morbidity (66.7% vs 30%) and PLF by 50-50 criteria (66.7% vs 30%), it was not statistically significant. The linearity index was marginally lower (0.9 vs 1.2) in the presence of major morbidity and PLF by 50-50 criteria.

Conclusions

Linear OGTT affects the PLF and major morbidity, therein impacting the hospital stay. OGTT LI and PHRR can help predict postoperative outcome for a given extent of liver resection.

INTRODUCTION

During the last decade, technical improvements in liver surgery have resulted in an expansion of indications for major liver resections, especially in high-risk patients with various underlying liver conditions (fibrosis, steatosis, or chemotherapy-induced injury). However, the risks of postoperative liver failure (PLF) and fatal outcome have remained important concerns.123 The reported incidence of PLF ranges between 0.7% and 9.1%.12456 Over the years, mortality after liver resection ranged from 0 to 5%, and although multifactorial, PLF seems to be the main cause (18-75%).789
Preoperative risk assessment ideally consists of clinical, biochemical, volumetric and functional factors. When planning a major liver resection, evaluation of the liver remnant volume by computed tomogram (CT) volumetry is important. The most common test for functional evaluation is the indocyanine green retention test at 15 minutes (ICG-R15); it is widely used in eastern countries for cirrhotic patients with hepatocellular carcinoma (HCC) requiring liver surgery.10 It accurately assesses the liver function reserve, and an ICG-R15 of 14% is considered as the safety limit for major liver resections.1112 Various laboratory data, imaging techniques and complex functional assessment methods are used to complement the Child-Pugh score to predict PLF and to assess functional hepatic reserve, especially in the high risk group of cirrhotic patients; however, these have not gained popularity.
We proposed to study the oral glucose tolerance test (OGTT), a simple and easily performed test, for the preoperative assessment of liver function in liver resection. Ozawa et al.13 determined glucose tolerance in 14 patients with liver malignancy. They observed that patients with parabolic GTT patterns fared relatively better than those with linear GTT patterns. They had earlier suggested that the parabolic glucose tolerance pattern is indicative of compensated damage to the liver, while the linear glucose tolerance pattern shows critically decreased hepatic functional reserve.14 The 3-hour OGTT is preferred over the 2-hour OGTT, as the derivative of glucose concentration is better defined in the third hour of the OGTT, and the rate of glucose appearance is least variable at 120 minutes.15 The present study proposes to evaluate the utility of OGTT in addition to CT volumetry, for improving the outcomes of liver resection.

MATERIALS AND METHODS

At our tertiary care hospital, adults (both cirrhotic and non-cirrhotic) who had undergone hepatic resections over a period of 2 years, were studied using a prospective longitudinal cohort study design. The management of liver lesions included in the study was as per the standard protocols of the hepatopancreaticobiliary unit of the hospital. A standard 3-hour 75-g OGTT was performed as per the 1999 World Health Organization (WHO) specifications. Blood samples were collected at 0, 30, 60, 90, 120, and 180 minutes for the measurement of plasma glucose.16 The blood sugar curve was classified as having either a parabolic or linear pattern. A parabolic pattern referred to the blood sugar curve in which the blood sugar value at 2 hours decreased with respect to the preloading value; otherwise, it was classified as linear (Fig. 1).13 Linearity index (LI) was calculated from the ratio of the 60-minutes blood glucose to the 120-minutes blood glucose level in the peripheral blood after the 75-g OGTT.17 In diabetics, LI was calculated after glycemic control, and the decrement between 180-minutes and 120-minutes blood sugar in percentage was measured. In patients showing a linear pattern with no proven diabetes, glycosylated hemoglobin (HbA1C) was measured to exclude undetected diabetes causing glucose intolerance and the resultant linear curve.
The total liver, tumor and future remnant liver were delineated on every image, using the portal and hepatic veins as markers for segmental division on CT. Integrated software calculated the volume of the total liver, total tumors, and remnant liver volume (RLV) anticipated after surgery. All delineations were made by an experienced radiologist. Tumor volume (TV) was subtracted from total hepatic volume. Total hepatic volume (TLV) was corrected for weight and length differences and expressed as ml/BSA. The liver volume to be resected (including tumor) was designated as RV. The volume of the future remnant was expressed as a percentage of the total hepatic volume. Parenchymal hepatic resection rate (PHRR) was defined as the proportion of resected liver to the entire liver volume, after excluding the volume of tumor in both. It was calculated as PHRR=(RV–TV)/(TLV–TV).18
Following were the exclusion criteria for the study: patients who did not undergo liver resection due to lack of medical fitness, inoperability because of vascular encasement, or advanced disease; patients who did not provide informed consent for the study (with no consequences on their clinical care); patients who could not be preoperatively evaluated by CT volumetry or OGTT; when a linear curve of OGTT coexisted with deranged HbA1C in a previously undetected diabetic, and the linearity of the curve could not be attributed to liver function alone; any patient who could not be followed up for a minimum period of 90 days after surgery.
The Brisbane 2000 terminology of liver anatomy and resections was used to define the extent and type of liver resection.19 Resections were considered extended when five or more segments were involved (extended right lobectomy and extended left hepatectomy), major when three or four segments were involved (right and left hepatectomy), and minor when one or two segments were resected, or a non-anatomical resection was performed.20
Postoperative surveillance included clinical examination during hospitalization and laboratory tests during the first week, including prothrombin time (PT), international normalized ratio (INR), total and direct bilirubin, aspartate transaminase (AST), alanine transaminase (ALT) on postoperative day (POD) 1, 3, 5 and 7. Blood analysis after the first week was as per the clinical indications. Abdominal ultrasound and/or computed tomography were performed in cases where postoperative intra-abdominal fluid collection was suspected.
The primary end points were mortality and postoperative complications. Postoperative mortality was defined as any death within 90 days of operation, or during the concurrent hospital stay.
Any deviation from the standard postoperative course other than normal sequelae (inherent to a specific surgical procedure), failure of therapy (goal of treatment not attained), or death, were considered as complications. They were classified as major when they resulted in organ failure, required another surgery or radiologic intervention, or required a red blood cell transfusion for postoperative bleeding. These included major postoperative bleeding, any organic failure, intra-abdominal abscess, sepsis and portal vein thrombosis. Other complications with no fatal potential were considered minor, and included pleural effusion, wound infection, urinary tract infection and atelectasis.21
As per the 50-50 criteria, postoperative liver failure is defined at the POD 5, with persistence of either PT <50% or serum bilirubin (SB) >50 mmol/L on POD 5. The value 50% of normal for PT corresponds to an INR of 1.7, and SB 50 mmol/L corresponds to 3 mg/dl.3 Secondary end points considered were intraoperative variables such as operative time, blood loss and transfusion requirement. In addition, intensive care unit (ICU) and hospital stay was also recorded.
Liver resection specimens were evaluated for the presence of steatosis using hematoxylin and eosin-stained sections. The degree of total steatosis was graded as mild (10%-30%), moderate (31%-60%), or severe (>60%), based on the percentage of hepatocytes with fat droplets.22 Liver fibrosis was quantified according to the Ishak score as follows - 0: no fibrosis; 1: fibrous expansion of some portal tract areas; 2: fibrous expansion of most portal tract areas; 3: fibrous expansion of portal tract areas with occasional portal-portal bridging; 4: fibrosis with portal-portal and portal-central bridging; 5: pronounced bridging with occasional nodules; 6: probable or definite cirrhosis.23

Statistics and ethics

Statistical analysis was performed using the SPSS version 16.0 (SPSS INC). The mean±standard deviation, median and range of continuous variables, and frequency distributions of categorical variables are presented. Categorical variables were compared using Fisher's exact test or the chi-square test, and continuous variables were compared using Student's t-test or Wilcoxon test, as appropriate. Significant variables (using a cutoff p<0.05) in a univariate analysis were considered for a multivariate analysis.
Analysis of variance test (ANOVA) and/or receiver operating characteristic (ROC) curve analysis was performed to identify variables affecting the outcomes of liver resection. Statistical significance was considered at p <0.05. The study adhered to the tenets of the Declaration of Helsinki, and informed consent was sought from each subject prior to enrollment.

RESULTS

Patient characteristics

Demography: Mean age of the total 33 patients undergoing liver resection was 48±15 years, ranging from 21 to 73 years (median: 49 years). OGTT was parabolic in 22 (66.7%) patients and linear in 11 (33.3%) patients. The mean LI in those with parabolic curve was 1.31, while in the linear group it was 1.05. Known diabetic cases (5 patients), had good glycemic control prior to their undergoing OGTT. HbA1c was normal in all patients with a linear curve. The distribution of age, gender, body mass index, diabetes status, ASA grade, PHRR, viral hepatitis serology status and modified Child-Pugh class stratification between the OGTT parabolic and linear groups was comparable (Table 1).
Background liver status: The non-tumor-bearing liver was histologically unremarkable in 21 patients (63.64%). Of the 5 patients with evidence of cirrhosis on preoperative workup, subsequent histopathology confirmed grade 6 fibrosis in 2 cases, and grade 3 fibrosis in 3 patients. Preoperative workup or subsequent histology did not reveal any evidence of cirrhosis in 1 patient with hepatitis B.
Steatosis was evident in the histopathology of 9 patients. Both steatosis and fibrosis were positive in 2 patients. Stratification based on fibrosis grade and steatosis was comparable between the OGTT parabolic and linear groups.
Indication: HCC was the leading indication for liver resection in our study, attributing to 30.3% of all cases. Nineteen (57.6%) patients underwent resection for malignant pathology. Liver resection as a part of metastatectomy were all metachronous. No statistically significant difference was noted in the distribution of indications between the two OGTT groups (Table 2).
Major liver resections were carried out in 23 (69.7%) patients. The average duration of surgery was 6.3±2.1 hours. The types of resections and additional associated procedures, as well as the operative parameters (including duration of surgery and blood loss) did not differ between the two OGTT groups (Table 3).

Postoperative outcomes

There was no mortality either during the hospital stay or within 90 days after surgery. Overall morbidity was observed in 24 (72.7%) patients; however, major complications occurred in only 3 (9.1%) patients.
Two patients had bile leak, of which one was self-limiting, while the other needed percutaneous drainage. One patient was re-explored for primary hemorrhage. Overall morbidity and major morbidity was higher in the linear OGTT group (90.9% and 18.2%, respectively) compared to the parabolic group (63.6% and 4.6%, respectively), but it did not reach statistical significance (Table 4).
OGTT curve correlated with the overall hospital stay; this association was statistically significance (p=0.04). Only 3 (9.1%) patients met the 50-50 criteria used to define PLF. The patients with a linear OGTT curve met 50-50 criteria more often (18.2% vs 4.5% in parabolic), but did not reach statistical significance (p=0.25).
To determine factors affecting outcomes of liver resection (overall morbidity, major morbidity and PLF by 50-50 criteria), none of the demographic, perioperative (including steatosis or fibrosis in background liver) or volumetric parameters were found to significantly affect outcomes on univariate analysis (Table 5); hence, a multivariate analysis was not necessitated.
The OGTT was more often linear in presence of morbidity (41.7% vs 11.1%), major morbidity (66.7% vs 30%) and PLF by 50-50 criteria (66.7% vs 30%), but did not reach statistical significance. While the linearity index was comparable in the presence or absence of overall morbidity, it was insignificantly lower in presence of major morbidity (0.9 vs 1.2) and PLF by 50-50 criteria (0.9 vs 1.2). These linearity indices did not differ statistically (Table 6).

DISCUSSION

Recent advances in hepatic surgery and perioperative care, and refinements in patient-selection criteria and indications, have enabled an increasing number of patients to undergo liver resections. The past decade has seen reduced mortality after hepatic resection to less than 5%, and although the cause of death after hepatic resection is multifactorial, PLF seems to be the main cause.8 A great number of hepatic resection have been mainly reported from the Western countries and the Far East. Besides, a North Indian single-center study analyzed 241 consecutive cases of hepatic resections to define the risk factors associated with postoperative morbidity and mortality. Very few studies have been reported from South Asia.24 Further, the studies on objective preoperative quantitative and qualitative functional assessment prior to liver resection, have rarely been reported from the Indian subcontinent.
Among the various tests for functional evaluation, ICG-R15 is widely used in the Eastern countries for cirrhotic patients with HCC requiring liver surgery.10 It is considered to be accurate for assessment of liver function reserve in cirrhotic patients undergoing hepatectomy.12 However, there is a known risk of complications reported due to anaphylactoid reactions, including death.252627 The results of ICG-R15 depend on the hepatic blood flow, and regional variations can alter the retention value.28 Also, acute cholestasis directly influences the ICG test and should be taken into account while interpreting the ICG test in jaundiced patients.29
A close association exists between glucose intolerance and the decrease in hepatic energy charge and the derangement of mitochondrial function.3031323334 This formed the basis for utilizing OGTT in preoperative assessment for liver resection. The linear index of OGTT is related to the mitochondrial activity of the hepatocytes. Especially in cirrhosis, shunting occurs in portal vein blood, reducing the blood supply to the liver parenchyma, leading to insulin resistance and a lowered glucose tolerance.163536 In clinical application, the assessment of hepatic functional reserve by oral glucose tolerance test was shown to provide a predictive postoperative prognosis in post hepatectomy patients.13 In the study by Yamanaka et al.,37 the oral glucose tolerance test pattern was linear in 80% of the non-survivors compared with 20% of the survivors, in patients who underwent liver resection for HCC and metastatic tumor (p<0.05). Linear OGTT was found to be one of the 4 variables that significantly affect mortality, following resection for biliary malignancies. These variables, along with liver resection rate, were used to validate a discriminant formula to predict postoperative liver failure.38 More recently, OGTT LI was incorporated with 5 other parameters to construct a complex score for preoperative functional evaluation for resection in HCC.16
In our study, we observed a statistically significant correlation of the type of OGTT curve with the overall hospital stay. In patients who experienced overall morbidity and major morbidity, the OGTT was linear in 42% (10/24) and 67% (2/3) respectively, compared to 13% (1/8) in the absence of morbidity. Patients with linear GTT met the 50-50 criteria of POLF more often (18%) than those with a parabolic curve (4.5%), but this difference was statistically not significant. The linearity index was marginally lower in patients with major morbidity and POLF by 50-50 criteria. A larger sample size powered adequately in a prospective cohort study, can highlight the difference between linear and parabolic OGTT groups, if any.
The main preoperative factors affecting outcomes include the presence of impaired preoperative liver function, extent of liver resection, and the presence of a small remnant liver.3 To analyze OGTT along with volumetric evaluation by PHRR, we subcategorized the study group into four subgroups: 1) PHRR >50% with a. Linear OGTT and b. Parabolic OGTT; 2) PHRR <50% with a. Linear OGTT and b. Parabolic OGTT (Figs. 2 and 3). None of the patients with a parabolic OGTT and PHRR less than 0.5 experienced any major morbidity. Minor morbidity was observed in all patients with a linear OGTT and a PHRR greater than 0.5, who underwent resections. Caution may need to be exercised when considering a major resection in a patient with linear OGTT and PHRR >50%.
OGTT was found to be an efficient tool for the prognosis of cirrhotic patients.3940 It was found to be effective in our study group which was predominantly non-cirrhotic, and its predictive value may improve in a cohort of predominant cirrhotic resections, wherein the concern of PLF is greater and the resections are more challenging. However, in view of the small sample size, our study stands underpowered to detect factors affecting mortality, morbidity and severe postoperative liver insufficiency. We did not perform a direct comparison of OGTT and ICGR 15. While it may be argued that OGTT did not fare well in predicting the 50-50 criteria for liver failure, this may not be the failure of OGTT, but the fallacy of the 50-50 criteria. The 50-50 criteria were developed in a rather heterogeneous cohort rather than a predominantly non-cirrhotic group like ours. It was defined based on fatal liver failure, while none of our patients experienced mortality. However, on applying the International Study Group of Liver Surgery (ISGLS) definition of liver failure, the grades did not differ significantly between parabolic and linear OGTT (data not shown). In addition to its efficacy in predicting outcomes, OGTT is advantageous due to its simplicity, standard technique, easy interpretation and low cost.15
In conclusion, our study paves the way for designing a prospective study to assess OGTT, compared to a validated preoperative method like ICGR 15, in future. OGTT is a relatively cheap, safe, simple and effective test, having the potential to substitute ICGR 15 and predict outcomes reliably. In a larger cohort with utilization of appropriate statistical tools, it should be possible to incorporate OGTT LI and PHRR into a simplified formula with a relevant cutoff, to help guide the extent of resection and anticipate postoperative liver insufficiency and morbidity, and to consider preoperative augmentation or for early postoperative prophylactic and therapeutic measures.

Figures and Tables

Fig. 1

Representative parabolic (A) and linear (B) oral glucose tolerance test (OGTT) curves.

ahbps-21-1-g001
Fig. 2

Outcomes in group with parenchymal hepatic resection rate (PHRR) >50%.

ahbps-21-1-g002
Fig. 3

Outcomes in group with parenchymal hepatic resection rate (PHRR) <50%.

ahbps-21-1-g003
Table 1

Baseline patient characteristics

ahbps-21-1-i001

OGTT, oral glucose tolerance test; BMI, body mass index; DM, diabetes mellitus; ASA, American Society of Anesthesiologists physical status classification; PHRR, parenchymal hepatic resection rate; HBV, hepatitis B virus; HCV, hepatitis C virus

Table 2

Indications of liver resection

ahbps-21-1-i002

OGTT, oral glucose tolerance test; HCC, hepatocellular carcinoma

Table 3

Extent of liver resection and intraoperative variables

ahbps-21-1-i003

OGTT, oral glucose tolerance test

Table 4

Postoperative outcomes

ahbps-21-1-i004

OGTT, oral glucose tolerance test; PLF, postoperative liver failure; ICU, intensive care unit

Table 5

Univariate analysis of factors affecting overall morbidity, major morbidity and PLF by 50-50 criteria

ahbps-21-1-i005

PLF, postoperative liver failure; OGTT, oral glucose tolerance test; PHRR, parenchymal hepatic resection rate

Table 6

Frequency of linear oral glucose tolerance test (OGTT) and linearity index (LI) according to outcomes

ahbps-21-1-i006

ACKNOWLEDGEMENTS

Sridhar Chappidi MD (Consultant Radiologist, Global hospital) for volumetric analysis. The statistical methods of this study were reviewed by Praveen K Nirmalan MD MPH (Prashasa Health Consultants) who specializes in public health. This work was carried out in HPB & Liver Transplant unit, Global Hospital, Hyderabad, India during the tenure of the authors there.

Notes

Author contributions Both the authors contributed equally to this manuscript.

References

1. Jarnagin WR, Gonen M, Fong Y, DeMatteo RP, Ben-Porat L, Little S, et al. Improvement in perioperative outcome after hepatic resection: analysis of 1,803 consecutive cases over the past decade. Ann Surg. 2002; 236:397–406. discussion 406-407.
2. Imamura H, Seyama Y, Kokudo N, Maema A, Sugawara Y, Sano K, et al. One thousand fifty-six hepatectomies without mortality in 8 years. Arch Surg. 2003; 138:1198–1206.
3. Balzan S, Belghiti J, Farges O, Ogata S, Sauvanet A, Delefosse D, et al. The “50-50 criteria” on postoperative day 5: an accurate predictor of liver failure and death after hepatectomy. Ann Surg. 2005; 242:824–828.
4. Shoup M, Gonen M, D'Angelica M, Jarnagin WR, DeMatteo RP, Schwartz LH, et al. Volumetric analysis predicts hepatic dysfunction in patients undergoing major liver resection. J Gastrointest Surg. 2003; 7:325–330.
5. Schindl MJ, Redhead DN, Fearon KC, Garden OJ, Wigmore SJ. Edinburgh Liver Surgery and Transplantation Experimental Research Group (eLISTER). The value of residual liver volume as a predictor of hepatic dysfunction and infection after major liver resection. Gut. 2005; 54:289–296.
6. Poon RT, Fan ST, Lo CM, Liu CL, Lam CM, Yuen WK, et al. Improving perioperative outcome expands the role of hepatectomy in management of benign and malignant hepatobiliary diseases: analysis of 1222 consecutive patients from a prospective database. Ann Surg. 2004; 240:698–708. discussion 708-710.
7. Detroz B, Sugarbaker PH, Knol JA, Petrelli N, Hughes KS. Causes of death in patients undergoing liver surgery. Cancer Treat Res. 1994; 69:241–257.
8. Bolder U, Brune A, Schmidt S, Tacke J, Jauch KW, Löhlein D. Preoperative assessment of mortality risk in hepatic resection by clinical variables: a multivariate analysis. Liver Transpl Surg. 1999; 5:227–237.
9. Simmonds PC, Primrose JN, Colquitt JL, Garden OJ, Poston GJ, Rees M. Surgical resection of hepatic metastases from colorectal cancer: a systematic review of published studies. Br J Cancer. 2006; 94:982–999.
10. McCormack L, Capitanich P, Quiñonez E. Liver surgery in the presence of cirrhosis or steatosis: Is morbidity increased? Patient Saf Surg. 2008; 2:8.
11. Nonami T, Nakao A, Kurokawa T, Inagaki H, Matsushita Y, Sakamoto J, et al. Blood loss and ICG clearance as best prognostic markers of post-hepatectomy liver failure. Hepatogastroenterology. 1999; 46:1669–1672.
12. Fan ST. Methods and related drawbacks in the estimation of surgical risks in cirrhotic patients undergoing hepatectomy. Hepatogastroenterology. 2002; 49:17–20.
13. Ozawa K, Ida T, Yamada T, Honjo I. Significance of glucose tolerance as prognostic sign in hepatectomized patients. Am J Surg. 1976; 131:541–546.
14. Ozawa K, Ida T, Yamada T, Yamaoka Y, Takasan H. Oral glucose tolerance in patients with jaundice. Surg Gynecol Obstet. 1975; 140:582–588.
15. Mari A, Pacini G, Murphy E, Ludvik B, Nolan JJ. A model-based method for assessing insulin sensitivity from the oral glucose tolerance test. Diabetes Care. 2001; 24:539–548.
16. Nolan JJ, Ludvik B, Baloga J, Reichart D, Olefsky JM. Mechanisms of the kinetic defect in insulin action in obesity and NIDDM. Diabetes. 1997; 46:994–1000.
17. Uchiyama K, Mori K, Tabuse K, Ueno M, Ozawa S, Nakase T, et al. Assessment of liver function for successful hepatectomy in patients with hepatocellular carcinoma with impaired hepatic function. J Hepatobiliary Pancreat Surg. 2008; 15:596–602.
18. Okamoto E, Kyo A, Yamanaka N, Tanaka N, Kuwata K. Prediction of the safe limits of hepatectomy by combined volumetric and functional measurements in patients with impaired hepatic function. Surgery. 1984; 95:586–592.
19. Strasberg SM. Nomenclature of hepatic anatomy and resections: a review of the Brisbane 2000 system. J Hepatobiliary Pancreat Surg. 2005; 12:351–355.
20. Maeda Y, Nishida M, Takao T, Mori N, Tamesa T, Tangoku A, et al. Risk factors for postoperative liver failure after hepatectomy for hepatocellular carcinoma. Hepatogastroenterology. 2004; 51:1792–1796.
21. Belghiti J, Hiramatsu K, Benoist S, Massault P, Sauvanet A, Farges O. Seven hundred forty-seven hepatectomies in the 1990s: an update to evaluate the actual risk of liver resection. J Am Coll Surg. 2000; 191:38–46.
22. Hwang SJ, Luo JC, Chu CW, Lai CR, Lu CL, Tsay SH, et al. Hepatic steatosis in chronic hepatitis C virus infection: prevalence and clinical correlation. J Gastroenterol Hepatol. 2001; 16:190–195.
23. Ishak K, Baptista A, Bianchi L, Callea F, De Groote J, Gudat F, et al. Histological grading and staging of chronic hepatitis. J Hepatol. 1995; 22:696–699.
24. Marwah S, Khan MM, Chaudhary A, Gupta S, Negi SS, Soin A, et al. Two hundred and forty-one consecutive liver resections: an experience from India. HPB (Oxford). 2007; 9:29–36.
25. Garski TR, Staller BJ, Hepner G, Banka VS, Finney RA Jr. Adverse reactions after administration of indocyanine green. JAMA. 1978; 240:635.
26. Speich R, Saesseli B, Hoffmann U, Neftel KA, Reichen J. Anaphylactoid reactions after indocyanine-green administration. Ann Intern Med. 1988; 109:345–346.
27. Benya R, Quintana J, Brundage B. Adverse reactions to indocyanine green: a case report and a review of the literature. Cathet Cardiovasc Diagn. 1989; 17:231–233.
28. Schneider PD. Preoperative assessment of liver function. Surg Clin North Am. 2004; 84:355–373.
29. Stockmann M, Malinowski M, Lock JF, Seehofer D, Neuhaus P. Factors influencing the indocyanine green (ICG) test: additional impact of acute cholestasis. Hepatogastroenterology. 2009; 56:734–738.
30. Irie R, Kono Y, Aoyama H, Nakatani T, Yasuda K, Ozawa K, et al. Impaired glucose tolerance related to changes in the energy metabolism of the remnant liver after major hepatic resection. J Lab Clin Med. 1983; 101:692–698.
31. Nakatani T, Yasuda K, Ozawa K, Tobe T. Changes in blood glucose levels in relation to blood ketone body ratio following hypertonic glucose infusion in 70% hepatectomized rabbits. Eur Surg Res. 1984; 16:303–311.
32. Yasuda K, Nakatani T, Ozawa K. Glucose intolerance and amino acid imbalance in relation to changes in blood ketone body ratio in hepatectomized rabbits. Eur Surg Res. 1986; 18:19–27.
33. Uchida K, Jikko A, Yamato T, Kamiyama Y, Ozawa K. Relationship of glucose intolerance and indocyanine green clearance to respiratory enzyme levels in human cirrhotic liver. Am J Med Sci. 1985; 290:19–27.
34. Mori K, Ozawa K, Yamamoto Y, Maki A, Shimahara Y, Kobayashi N, et al. Response of hepatic mitochondrial redox state to oral glucose load. Redox tolerance test as a new predictor of surgical risk in hepatectomy. Ann Surg. 1990; 211:438–446.
35. Sasaya S, Yagi H, Yamaguchi M, Kigawa G, Nakano H, Midorikawa T, et al. Liver function assessed by increased rate of portal venous blood flow after oral intake of glucose. Eur J Surg. 2000; 166:112–118.
36. Huo TI, Lui WY, Huang YH, Chau GY, Wu JC, Lee PC, et al. Diabetes mellitus is a risk factor for hepatic decompensation in patients with hepatocellular carcinoma undergoing resection: a longitudinal study. Am J Gastroenterol. 2003; 98:2293–2298.
37. Yamanaka N, Okamoto E, Oriyama T, Fujimoto J, Furukawa K, Kawamura E, et al. A prediction scoring system to select the surgical treatment of liver cancer. Further refinement based on 10 years of use. Ann Surg. 1994; 219:342–346.
38. Nagino M, Nimura Y, Hayakawa N, Kamiya J, Kondo S, Sasaki R, et al. Logistic regression and discriminant analyses of hepatic failure after liver resection for carcinoma of the biliary tract. World J Surg. 1993; 17:250–255.
39. Nishida T, Tsuji S, Tsujii M, Arimitsu S, Haruna Y, Imano E, et al. Oral glucose tolerance test predicts prognosis of patients with liver cirrhosis. Am J Gastroenterol. 2006; 101:70–75.
40. Wen T, Zheng G, Meng X, Chen L. Evaluation of oral glucose tolerance test in the assessment of reserved function of liver for patients with hepatocellular carcinoma. Hua Xi Yi Ke Da Xue Xue Bao. 1997; 28:197–200.
TOOLS
Similar articles