AIBO was clearly an effective rehabilitation tool in the treatment of severely demented patients.
BackgroundRoot mean square (RMS) of trunk acceleration is seen frequently in gait analysis research. However, many studies have reported that the RMS value was related to walking speed. Therefore, the relationship between the RMS value and walking speed should be considered when the RMS value is used to assess gait abnormality. We hypothesized that the RMS values in three sensing axes exhibit common proportions for healthy people if they walk at their own preferred speed and that the RMS proportions in abnormal gait deviate from the common proportions. In this study, we proposed the RMS ratio (RMSR) as a gait abnormality measure and verified its ability to discriminate abnormal gait.MethodsForty-seven healthy male subjects (24–49 years) were recruited to examine the relationship between walking speed and the RMSR. To verify its ability to discriminate abnormal gait, twenty age-matched male hemiplegic patients (30–48 years) participated as typical subjects with gait abnormality. A tri-axial accelerometer was attached to their lower back, and they walked along a corridor at their own preferred speed. We defined the RMSR as the ratio between RMS in each direction and the RMS vector magnitude.ResultsIn the healthy subjects, the RMS in all directions related to preferred walking speed. In contrast, RMSR in the mediolateral (ML) direction did not correlate with preferred walking speed (rs = -0.10, p = 0.54) and represented the similar value among the healthy subjects. Moreover, the RMSR in the ML direction for the hemiplegic patients was significantly higher than that for the healthy subjects (p < 0.01).ConclusionsThese results suggest that the RMSR in the ML direction exhibits a common value when healthy subjects walk at their own preferred speed, even if their preferred walking speed were different. For subjects with gait abnormality, the RMSR in the ML direction deviates from the common value of healthy subjects. The RMSR in the ML direction may potentially be a quantitative measure of gait abnormality.
In this paper, we assess the complexity (fractal measure) of body motion during walking in patients with Parkinson's disease. The body motion of 11 patients with Parkinson's disease and 10 healthy elderly subjects was recorded using a triaxial accelerometry technique. A triaxial accelerometer was attached to the lumbar region. An assessment of the complexity of body motion was made using a maximum-likelihood-estimator-based fractal analysis method. Our data suggest that the fractal measures of the body motion of patients with Parkinson's disease are higher than those of healthy elderly subjects. These results were statistically different in the X (anteroposterior), Y (lateral) and Z (vertical) directions of body motion between patients with Parkinson's disease and the healthy elderly subjects (p < 0.01 in X and Z directions and p < 0.05 in Y direction). The complexity (fractal measure) of body motion can be useful to assess and monitor the output from the motor system during walking in clinical practice.
Hepatitis C virus (HCV) leads to chronic liver disease in at least 50-60% of infected people and approximately 40-50% of these patients will go on to develop cirrhosis due to chronic hepatitis C (HCV-C). The pathogenic mechanisms that result in HCV-C are unknown. Sixty Japanese patients with HCV-C were examined for HLA-A, B, C and DR alleles by serologic typing and for HLA-DQB1 alleles by DNA typing using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. As the control population, 293 healthy un-related Japanese were used. The frequencies of HLA-B61, C(omega)3, DR4, DQB1*0401 and DQB1*0402 were increased, while those of HLA-DR9, DQB1*0301 and DQB1*0303 were decreased in the patients. The co-ordinate increase in the frequency of HLA-DR4, DQB1*0401 or 0402 and decrease in the frequency of DR9 or DQB1*0303 were suggestive of a strong linkage disequilibrium between HLA-DR4 and DQB1*0401 or 0402 and between HLA-DR9 and DQB1*0303, respectively. From the odds ratio (OR) analysis, the combinations of HLA-C(omega)3+ DR4-DQB1*0401 or 0402, or HLA-B61 + DR4 - DQB1*0401 or 0402 increased the risk for developing HCV-C when compared to each HLA allele alone. This suggested an additive effect for these classes I and II HLA allele combinations in HCV-C. In contrast, HLA-DR9-DQB1*0303 and DQB1*0301 may confer resistance to this disease. These results suggest the existence of HLA-linked susceptibility genes to HCV-C.
SummaryWe previously concluded that genetic defects in the B subunit of factor XIII were the basis for former Type I deficiency (i.e. factor XIII B subunit deficiency). When we examined an Italian patient with the disease at the DNA level, restriction digestion and sequencing analyses of amplified DNAs revealed that the proband and her family members possessed an AAC insertion within the codon for Tyr-80 in exon III in the gene for the B subunit, a nucleotide polymorphism (A-G) in its 3’-noncoding region in exon XII, and a short tandem repeat polymorphism of (TTTA)9 in the 3’-flanking region. These mutations and 3’-polymorphisms were also identified in another Italian family reported in a previous study (10), suggesting that a founder effect is responsible for factor XIII B subunit deficiency in Italians.
Purpose: We studied the clinical features and the etiology of hepatitis B virus surface antigen (HBsAg)-negative and antibody to hepatitis C virus (anti-HCV) negative patients with hepatocellular carcinoma. Methods: A total of 550 patients, hospitalized with an initial diagnosis of HCC were retrospectively studied. Eighty-one of these patients were HBsAg-positive (HB group), 404 patients were anti-HCV positive (HC group). The other 65 patients were negative for both HBsAg and for anti-HCV (NBNC group). We puri®ed HBV-X gene from HCC or non-tumorous liver tissue of 23 NBNC patients using PCR. Results: Clinical features of NBNC as compared with HB and HC patients were as follows, respectively: non-cirrhosis rate (%): 57,37,15 ( P 0.02 for HB, P < 0.00001 for HC), the proportion of patients with normal ALT concentrations (%): 59,28,10 ( P 0.0002 for HB, P < 0.00001 for HC). Forty of 59 NBNC patients (68%) had anti-HBs and/or anti-HBc (healthy controls: 29%, P < 0.00001) and two of 56 had serum HBV DNA. Twelve of 23 NBNC patients had HBV-X gene in HCC and/or non-cancerous liver tissues (52%). None of 52 had serum HCV RNA. Conclusions: The NBNC patients with HCC had a higher frequency of non-cirrhotic liver without liver injury. The presence of the HBV-X gene in HCC suggests a possible role of past HBV infection in the development of HCC. About half of NBNC HCC is associated with seronegativity for HBsAg and positivity for the HBV-X gene in liver tissue. Hepatitis B virus (HBV) infection is now recognized to be a major risk factor for HCC (1±3). Since the discovery of HCV RNA in 1989, anti-HCV antibodies have been found in a large proportion of HBsAg-negative patients with HCC (4±8) but about 10% of patients in Japan with HCC are negative for HBsAg and for anti-HCV (9). The precise mechanism by which HCV infection results in HCC is not known. HCV is an RNA virus the genome of which does not seem to become integrated into the host DNA (10). Most studies on HCV have focused on its indirect role in causing cancer as a result of cirrhosis (11±14).HBV is thought to induce HCC by two mechanisms. HBV infection contributes to cirrhosis of the liver, which is associated with HCC in 60±80% of patients with this disease. In addition, HBV infection leads to integration of HBV DNA into host chromosomes, with a possible direct carcinogenic effect of HBV through interactions with oncogenes, growth factors, or tumour suppressive genes (15,16).
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