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We examine the use of time series data, derived from Electric Cell-substrate Impedance Sensing (ECIS), to differentiate between standard mammalian cell cultures and those infected with a mycoplasma organism. With the goal of easy visualization and interpretation, we perform low-dimensional feature-based classification, extracting application-relevant features from the ECIS time courses. We can achieve very high classification accuracy using only two features, which depend on the cell line under examination. Initial results also show the existence of experimental variation between plates and suggest types of features that may prove more robust to such variation. Our paper is the first to perform a broad examination of ECIS time course features in the context of detecting contamination; to combine different types of features to achieve classification accuracy while preserving interpretability; and to describe and suggest possibilities for ameliorating plate-to-plate variation.

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Objectives: The purpose of this multicenter study was to characterize the association between spirituality, religiosity, spiritual pain, symptom distress, coping, and quality of life (QOL) among Latin American advanced cancer patients. Methods: Three hundred twenty-five advanced cancer patients from palliative care clinics in Chile, Guatemala, and the United States completed validated assessments: Faith, Importance and Influence, Community, and Address (FICA) (spirituality/religiosity), Edmonton Symptom Assessment Scale-Financial/Spiritual (ESAS-FS), including spiritual pain, Penn State Worry Questionnaire-Abbreviated (PSWQ-A), Center for Epidemiologic Studies Depression Scale (CES-D), Brief-coping strategies (COPE) and Brief religious coping (RCOPE) and RCOPE, respectively, and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being, Expanded version (FACIT-Sp-Ex). Results: Median age: 58 years (range: 19-85); 60% female; and 62% Catholic and 30% Christian, but not Catholic. Three hundred fifteen patients (97%) considered themselves spiritual and 89% religious, with median intensities of 7 (interquartile range [IQR]: 5-10) and 7 (5-9), respectively (0-10 scale, 10 = "very much"). Median importance of spirituality/religiosity was 10 (IQR: 8-10). The frequency and associations between spirituality/religiosity and various items were as follows: helps to cope with illness (98%; r = 0.66303; p < 0.0001), positive effect on physical symptoms (81%; r = 0.42067; p < 0.0001), and emotional symptoms (84%; r = 0.16577; p < 0.0001). One hundred ninety-five patients (60%) reported that their spiritual/religious needs had not been supported by the medical team. Spiritual pain was reported in 162/311 patients (52%), with median intensity of 6 (IQR: 5-8). Spiritual pain was associated with pain (p = 0.0225), depression (p < 0.0001), anxiety (p < 0.0001), worry (p < 0.001), behavioral disengagement (p = 0.0148), FACIT-Sp-Ex score (p = 0.0002), and negative RCOPE (p < 0.0001). Significance of Results: Spirituality and religiosity are frequent, intense, and rarely addressed among Latin American patients. Spirituality/religiosity was associated with positive COPE and higher QOL. Spiritual pain was also frequent and associated with physical and psychosocial distress. These patients need increased spiritual/religious support.

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We present new methods for cell line classification using multivariate time series bioimpedance data obtained from electric cell-substrate impedance sensing (ECIS) technology. The ECIS technology, which monitors the attachment and spreading of mammalian cells in real time through the collection of electrical impedance data, has historically been used to study one cell line at a time. However, we show that if applied to data from multiple cell lines, ECIS can be used to classify unknown or potentially mislabeled cells, factors which have previously been associated with the reproducibility crisis in the biological literature. We assess a range of approaches to this new problem, testing different classification methods and deriving a dictionary of 29 features to characterize ECIS data. Most notably, our analysis enriches the current field by making use of simultaneous multi-frequency ECIS data, where previous studies have focused on only one frequency; using classification methods to distinguish multiple cell lines, rather than simple statistical tests that compare only two cell lines; and assessing a range of features derived from ECIS data based on their classification performance. In classification tests on fifteen mammalian cell lines, we obtain very high out-of-sample predictive accuracy. These preliminary findings provide a baseline for future large-scale studies in this field.

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BACKGROUND: Physicians tend to over or underestimate symptoms reported by patients. Therefore standardized symptom scoring systems have been proposed to overcome this drawback. AIM: To estimate the prevalence and the diagnostic accuracy of physical and psychological symptoms and delirium in patients admitted to an internal medicine service at a university hospital. MATERIAL AND METHODS: We studied 58 patients, 45 with metastasic cancer and 13 with other advanced chronic diseases. The following scales were used: the Confusion Assessment Method for the diagnosis of delirium; the Edmonton Symptom Assessment Scale (ESAS) for pain and other physical symptoms; the Hospital Anxiety and Depression Scale to assess anxiety and depression. The ESAS was simultaneously applied to patients without delirium and their doctors to assess the level of diagnostic concordance. RESULTS: Twenty two percent of patients had delirium. Among the 45 patients without delirium, 11 (25%) had at least eight symptoms and 39 (88.6%) had four symptoms. The prevalence of symptoms was very high, ranging from 22 to 78%. Pain, restlessness, anorexia and sleep disorders were the most common. The concordance between symptoms reported by patients and those recorded by doctor was very low, with a Kappa index between 0.001 and 0.334. CONCLUSIONS: In our sample of chronic patients, there is a very high frequency of psychological and physical symptoms that are insufficiently recorded by the medical team.

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Physicians tend to over or underestimate symptoms reported by patients. Therefore standardized symptom scoring systems have been proposed to overcome this drawback. Aim: To estimate the prevalence and the diagnostic accuracy of physical and psychological symptoms and delirium in patients admitted to an internal medicine service at a university hospital. Material and Methods: We studied 58 patients, 45 with metastasic cancer and 13 with other advanced chronic diseases. The following scales were used: the Confusion Assessment Method for the diagnosis of delirium; the Edmonton Symptom Assessment Scale (ESAS) for pain and other physical symptoms; the Hospital Anxiety and Depression Scale to assess anxiety and depression. The ESAS was simultaneously applied to patients without delirium and their doctors to assess the level of diagnostic concordance. Results: Twenty two percent of patients had delirium. Among the 45 patients without delirium, 11 (25 percent) had at least eight symptoms and 39 (88.6 percent) had four symptoms. The prevalence of symptoms was very high, ranging from 22 to 78 percent. Pain, restlesness, anorexia and sleep disorders were the most common. The concordance between symptoms reported by patients and those recorded by doctor was very low, with a Kappa index between 0.001 and 0.334. Conclusions: In our sample of chronic patients, there is a very high frequency of psychological and physical symptoms that are insufficiently recorded by the medical team.

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