Optical chemosensors and reagents to detect explosives

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<p>These codes were written for the analysis reported in the manuscript titled "What Underlies Changes in Attachment Orientation? The Role of Updating the Emotion Regulatory Tendency". The first code describes the temporal difference (TD) computational model through which the patients' alpha was calculated, based on the acoustic data. The second code describes the response surface analysis with the alphas in session 1 and session 4 as predictor variables, and alliance or attachment as the predicted variables (separate models). Only the code is attached, and the data is not attached (see reason in the manuscript).</p&gt

L3 skeletal muscle index (L3SMI) is a surrogate marker of sarcopenia and frailty in non-small cell lung cancer patients

D Portal,1 L Hofstetter,2 I Eshed,3 C Dan-Lantsman,3 T Sella,4,5 D Urban,5 A Onn,5,6 J Bar,5 G Segal21Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel; 2Department of Internal Medicine ‘T’, Chaim Sheba Medical Center, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel; 3Department of Diagnostic Imaging, Chaim Sheba Medical Center, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel; 4The Dr. Pinchas Borenstein Talpiot Medical Leadership Program, Sheba Medical Center, Ramat Gan, Israel; 5Institute of Oncology, Chaim Sheba Medical Center, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel; 6Institute of Pulmonary Medicine, Chaim Sheba Medical Center, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, IsraelBackground: Non-small cell lung cancer (NSCLC) is a common and highly lethal disease. As advanced treatment modalities are being developed, improved prognostication methods are sought. L3 skeletal muscle index (L3SMI) and alanine aminotransferase (ALT) levels are accepted surrogate markers of sarcopenia and related frailty. We aimed to evaluate the potential association of these markers with NSCLC patients’ survival.Methods: A retrospective, single-center study of an NSCLC patients’ cohort. L3SMI was calculated based on skeletal muscle area on computed tomography scans at the level of the L3 vertebra. Clinical data were extracted from clinical charts.Results: A total of 140 patients (56.4% males, median age 66 [range 37–86]) were included in this study, 32% were diagnosed at stage 3 and 45% at stage 4. During the follow-up duration (median of 1.9 years; range 1 month to 6.4 years), 102 patients (72.8%) died. Patients’ characteristics that were found to be associated with increased mortality were performance status, albumin and tumor stage at diagnosis. Sarcopenia, defined as low L3SMI (lower than 41 cm2,/m2, for women and lower than 53 cm2,/m2, for men) was significantly associated with higher risk of mortality compared with patients with normal L3SMI values (77.2%, vs 64.6%, p=0.013) in univariate analysis, but not in a multiple regression analysis.Conclusion: Low L3SMI could serve as a surrogate marker for sarcopenia and frailty and, as such, facilitate the prognostication process of NSCLC patients.Keywords: sarcopenia, skeletal muscle index, lung cancer, tomography, ALT, prognosis &nbsp