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1.
Intern Med ; 63(7): 1009-1014, 2024 Apr 01.
Article in English | MEDLINE | ID: mdl-37612090

ABSTRACT

A 68-year-old man with small-cell lung cancer developed anti-collapsin response-mediator protein (CRMP)-5 antibody-related paraneoplastic neurological syndrome (PNS) presenting with ataxia and chorea during treatment with durvalumab. As a result of steroid therapy, anti-CRMP-5 antibodies became negative, hyperintense lesions on brain magnetic resonance imaging disappeared, and neurological symptoms improved. After resuming durvalumab, he became unable to walk due to neurological adverse events (nAEs). There have been no reported cases manifesting PNSs and nAEs as a result of the same immune checkpoint inhibitors (ICIs) administered at different times. Resuming ICIs in patients diagnosed with PNSs should be performed with prudence.


Subject(s)
Lung Neoplasms , Paraneoplastic Syndromes , Small Cell Lung Carcinoma , Male , Humans , Aged , Lung Neoplasms/drug therapy , Paraneoplastic Syndromes/diagnosis , Antibodies, Monoclonal/adverse effects , Small Cell Lung Carcinoma/drug therapy
2.
J Affect Disord ; 256: 668-672, 2019 09 01.
Article in English | MEDLINE | ID: mdl-31299448

ABSTRACT

BACKGROUND: Internet addiction (IA) has various adverse effects. We sought to elucidate the relationship between IA and depression among university students and to identify factors associated with IA. METHODS: Anonymous, self-administered questionnaires were distributed to 5,261 students and comprised basic characteristics, lifestyle habits, anxieties, the Internet Addiction Test (IAT), and the Center for Epidemiological Self-Depression Scale. RESULTS: Responses were obtained from 4,490 students (response rate: 85.3%). After excluding those with missing responses, 3,251 participants were analyzed (valid response rate: 61.8%). Logistic regression analysis with severity of IA as the independent variable and depression as the dependent variable revealed that the odds ratio (OR) for depression increased with severity of IA (mild addiction: OR=2.87, 95% confidence interval [CI]=2.45-3.36; severe addiction: OR=7.31, 95% CI=4.61-11.61). In a logistic regression analysis with mobile phone use as the independent variable and IA as the dependent variable, the highest OR was for message board use (OR=3.74, 95% CI=2.53-5.53) and the lowest OR was for use of LINE instant messenger (OR=0.59, 95% CI=0.49-0.70). Logistic regression analysis with academic department as the independent variable and internet addiction as the dependent variable revealed high ORs for the humanities department (OR=1.59, 95% CI=1.18-2.16) and fine arts department (OR=1.55, 95% CI=1.07-2.23). LIMITATIONS: The main limitations were the cross-sectional design, low valid response rate, single-university setting, and possible social desirability bias. CONCLUSIONS: Our results suggest a relationship between IA and depression in university students. IA tendency differed according to mobile phone use and academic department, suggesting these factors are associated with IA.


Subject(s)
Behavior, Addictive/psychology , Depression/psychology , Internet/statistics & numerical data , Students/psychology , Adult , Anxiety/psychology , Cell Phone/statistics & numerical data , Cross-Sectional Studies , Female , Humans , Japan , Male , Odds Ratio , Psychiatric Status Rating Scales , Regression Analysis , Surveys and Questionnaires , Universities , Young Adult
3.
Genome Inform ; 13: 143-52, 2002.
Article in English | MEDLINE | ID: mdl-14571383

ABSTRACT

We developed maximum clique-based algorithms for spot matching for two-dimensional gel electrophoresis images, protein structure alignment and protein side-chain packing, where these problems are known to be NP-hard. Algorithms based on direct reductions to the maximum clique can find optimal solutions for instances of size (the number of points or residues) up to 50-150 using a standard PC. We also developed pre-processing techniques to reduce the sizes of graphs. Combined with some heuristics, many realistic instances can be solved approximately.


Subject(s)
Algorithms , Data Interpretation, Statistical , Protein Structure, Tertiary , Sequence Analysis, Protein/methods , Animals , Computational Biology/methods , Electrophoresis, Gel, Two-Dimensional/methods , Humans , Sequence Alignment/methods
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