Six Minute Walk Test to assess functional capacity in chronic liver disease patients

World J Gastroenterol. 2007 Aug 7;13(29):3996-4001. doi: 10.3748/wjg.v13.i29.3996.

Abstract

Aim: To examine the utility of Six Minute Walk Test (6MWT) in patients with chronic liver disease (CLD).

Methods: Two hundred and fifty subjects between the ages of 18 and 80 (mean 47) years performed 6MWT and the Six Minute Walk Distance (6MWD) was measured.

Results: The subjects were categorized into four groups. Group A (n = 45) healthy subjects (control); group B (n = 49) chronic hepatitis B patients; group C (n = 54) chronic hepatitis C patients; group D (n = 98) liver cirrhosis patients. The four groups differed in terms of 6MWDs (P < 0.001). The longest distance walked was 421 +/- 47 m by group A, then group B (390 +/- 53 m), group C (357 +/- 72 m) and group D (306 +/- 111 m). The 6MWD correlated with age (r = -0.482, P < 0.01), hemoglobin (r = 0.373, P < 0.001) and albumin (r = 0.311, P < 0.001) levels. The Child-Pugh classification was negatively correlated with the 6MWD in cirrhosis (group D) patients (r = -0.328, P < 0.01). At the end of a 12 mo follow-up period, 15 of the 98 cirrhosis patients had died from disease complications. The 6MWD for the surviving cirrhotic patients was longer than for non-survivors (317 +/- 101 vs 245 +/- 145 m, P = 0.021; 95% CI 11-132). The 6MWD was found to be an independent predictor of survival (P = 0.024).

Conclusion: 6MWT is a useful tool for assessing physical function in CLD patients. We suggest that 6MWD may serve as a prognostic indicator in patients with liver cirrhosis.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Exercise Test*
  • Female
  • Follow-Up Studies
  • Hepatitis B / diagnosis
  • Hepatitis B / mortality*
  • Hepatitis C / diagnosis
  • Hepatitis C / mortality*
  • Humans
  • Liver Cirrhosis / diagnosis
  • Liver Cirrhosis / mortality*
  • Liver Diseases / diagnosis*
  • Liver Diseases / mortality*
  • Male
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models
  • Walking*