Prevalence and Correlates of At-Risk Drinking Among Older Adults: The Project SHARE Study

At-risk drinking, excessive or potentially harmful alcohol use in combination with select comorbidities or medication use, affects about 10% of elderly adults and is associated with higher mortality. Yet, our knowledge is incomplete regarding the prevalence of different categories of at-risk drinking and their associations with patient demographics. To examine the prevalence and correlates of different categories of at-risk drinking among older adults. Cross-sectional analysis of survey data. Current drinkers ages 60 and older accessing primary care clinics around Santa Barbara, California (n = 3,308). At-risk drinkers were identified using the Comorbidity Alcohol Risk Evaluation Tool (CARET). At-risk alcohol use was categorized as alcohol use in the setting of 1) high-risk comorbidities or 2) high-risk medication use, and 3) excessive alcohol use alone. Adjusted associations of participant characteristics with at-risk drinking in each of the three at-risk categories and with at-risk drinking of any kind were estimated using logistic regression. Over one-third of our sample (34.7%) was at risk. Among at-risk individuals, 61.9% had alcohol use in the context of high-risk comorbidities, 61.0% had high-risk medication use, and 64.3% had high-risk alcohol behaviors. The adjusted odds of at-risk drinking of any kind were decreased and significant for women (odds ratio, OR = 0.41; 95% confidence interval: 0.35-0.48; p-value < 0.001), adults over age 80 (OR = 0.55; CI: 0.43-0.72; p < 0.001 vs. ages 60-64), Asians (OR = 0.40; CI: 0.20-0.80; p = 0.01 vs. Caucasians) and individuals with higher education levels. Similar associations were observed in all three categories of at-risk drinking. High-risk alcohol use was common among older adults in this large sample of primary care patients, and male Caucasians, those ages 60-64, and those with lower levels of education were most likely to have high-risk alcohol use of any type. Our findings could help physicians identify older patients at increased risk for problems from alcohol consumption

Alterations in gene expression profiles correlated with cisplatin cytotoxicity in the glioma U343 cell line

Gliomas are the most common tumors in the central nervous system, the average survival time of patients with glioblastoma multiforme being about 1 year from diagnosis, in spite of harsh therapy. Aiming to study the transcriptional profiles displayed by glioma cells undergoing cisplatin treatment, gene expression analysis was performed by the cDNA microarray method. Cell survival and apoptosis induction following treatment were also evaluated. Drug concentrations of 12.5 to 300 μM caused a pronounced reduction in cell survival rates five days after treatment, whereas concentrations higher than 25 μM were effective in reducing the survival rates to ~1%. However, the maximum apoptosis frequency was 20.4% for 25 μM cisplatin in cells analyzed at 72 h, indicating that apoptosis is not the only kind of cell death induced by cisplatin. An analysis of gene expression revealed 67 significantly (FDR < 0.05) modulated genes: 29 of which down- and 38 up-regulated. These genes belong to several classes (metabolism, protein localization, cell proliferation, apoptosis, adhesion, stress response, cell cycle and DNA repair) that may represent several affected cell processes under the influence of cisplatin treatment. The expression pattern of three genes (RHOA, LIMK2 and TIMP2) was confirmed by the real time PCR method

Musculoskeletal Pain: A New Algorithm for Differential Diagnosis of a Cardinal Symptom in Pediatrics

Musculoskeletal pain (MSP) is a common childhood complaint associated with multiple differential diagnoses, including cancer. Considering the expanding spectrum of diagnostics, evaluat-ing a young patient with MSP is a challenge today, particularly for non-specialists in a primary care setting. Since childhood cancer is rare and most cardinal symptoms mimic rather non-serious diseases, misdiagnosis is not uncommon, but of significant prognostic relevance. To build the appropriate bridge between primary and secon-dary care for a child presenting with MSP, thereby preventing treatment delay and longterm sequelae, initial evaluation should follow a comprehensive, multidisciplinary, systematic and stepwise approach, which unites the patient's individual anamnestic, psychosocial, and clinical charac-teristics. After a systematic review of the literature, we generated multidisciplinarily quality-assured recommendations for efficient, rational and cost-effective primary care assessment of pediatric MSP. The algorithm promotes the identification and structured interpretation of the patient's individual clinical clues. It should serve the primary care physician to recognize when further intervention, rather than reassurance and follow-up, is needed using the minimum amount of testing to make an appropriate, prompt diagnosis in the clinical situation child presenting with MSP. A German version of this algorithm has been published in the Guideline-Portal of The Association of the Scientific Medical Societies (Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften, AWMF) in November 2013