Quetiapine augmentation of antidepressant treatment in elderly patients suffering from depressive symptoms: A retrospective chart review

Depression in elderly patients is often characterized by poor responses to standard antidepressants. Several reports have suggested that quetiapine also may have antidepressant properties. The present study aimed to evaluate the efficacy of quetiapine augmentation in depressed elderly patients previously unresponsive to a full course of treatment. Medical charts of elderly depressed inpatients treated at a tertiary care psychiatric center during a 3-year period were reviewed. Clinical and demographic data were extracted from computerized records and analyzed. The primary outcome measure was the change on the clinical global impressions scale for improvement (CGI-I). Twenty depressed elderly inpatients received quetiapine augmentation during the study period. Prior to augmentation all had been treated with antidepressants. Baseline mean severity of depression was 6.40; severity after augmentation was significantly reduced to 3.25; the change in CGI-I was 2.10 (p < 0.03). Mean quetiapine dose was 70 mg; mean duration of augmentation was 3.9 weeks. Five patients complained of somnolence. One patient discontinued psycho-tropics and switched to electroconvulsive therapy (ECT) due to life-threatening suicidal tendencies. We tentatively conclude that quetiapine augmentation for elderly depressed patients unresponsive to standard antidepressant treatment may be a safe and efficacious option. Further prospective studies need be carried out to support our observation.     

Biomechanical Properties of Skin in Massive Weight Loss Patients

Background  

The aim of this study is to assess skin strength in MWL patients relative to control cosmetic abdominoplasty patients biophysically, biochemically, and histologically. Growing success of weight loss programs has brought about an increase in the MWL population. Skin quality is thought to be impaired by MWL, but there are no compelling studies that have fully addressed the structural mechanisms involved.     

Medication Use Quality and Safety in Older Adults: 2019 Update

Improving the quality of medication use and medication safety are important priorities for prescribers who care for older adults. The objective of this article was to identify four exemplary articles with this focus in 2019. We selected high-quality studies that moved the field of research forward and were not merely replication studies. The chosen articles cover domains related to aspects of suboptimal prescribing and medication safety. The first study used a nationally representative sample of Medicare beneficiaries to examine the continuation of medications with limited benefit in patients admitted for cancer and non-cancer diagnoses in hospice (domain: potentially inappropriate medications). The second study, a retrospective cohort study of older adults in Ontario, Canada, assessed the association between prescribing oral anticoagulants in an emergency department relative to not prescribing anticoagulants in the emergency department and their persistence at 6 months (domain: underuse of medications). The third study, a cluster randomized trial in Quebec, Canada, evaluated the effect of conducting electronic medication reconciliation on several outcomes including adverse drug events and medication discrepancies (domain: medication safety). Lastly, the fourth study, a retrospective study using national inpatient and outpatient Veteran Health Administration combined with clinical and Medicare Claims data, examined the effects of intensification of antihypertensive medications on older adults' likelihood for hospital re-admission and other important clinical outcomes (domain: medication safety). Collectively, this review succinctly highlights pertinent topics related to promoting safe use of medications and promotes awareness of optimizing older adults' medication regimens.     

Predicting In-Hospital Mortality at Admission to the Medical Ward: A Big-Data Machine Learning Model

BackgroundGeneral medical wards admit high-risk patients. Artificial intelligence algorithms can use big data for developing models to assess patients’ risk stratification. The aim of this study was to develop a mortality prediction machine learning model using data available at the time of admission to the medical ward.MethodsWe included consecutive patients (ages 18-100) admitted to medical wards at a single medical center (January 1, 2013-December 31, 2018). We constructed a machine learning model using patient characteristics, comorbidities, laboratory tests, and patients’ emergency department (ED) management. The model was trained on data from the years 2013 to 2017 and validated on data from the year 2018. The area under the curve (AUC) for mortality prediction was used as an outcome metric. Youden index was used to find an optimal sensitivity-specificity cutoff point.ResultsOf the 118,262 patients admitted to the medical ward, 6311 died (5.3%). The single variables with the highest AUCs were medications administered in the ED (AUC = 0.74), ED diagnosis (AUC = 0.74), and albumin (AUC = 0.73). The machine learning model yielded an AUC of 0.924 (95% confidence interval [CI]: 0.917-0.930). For Youden index, a sensitivity of 0.88 (95% CI: 0.86-0.89) and specificity of 0.83 (95% CI: 0.83–0.83) were observed. This corresponds to a false-positive rate of 1:5.9 and negative predictive value of 0.99.ConclusionA machine learning model outperforms single variables predictions of in-hospital mortality at the time of admission to the medical ward. Such a decision support tool has the potential to augment clinical decision-making regarding level of care needed for admitted patients.     

Normal pulmonary artery and branch pulmonary artery sizes in children

To establish standards for pulmonary artery and branch pulmonary artery (PA and BPA) effective diameter (ED) and cross-sectional area (CSA) by using computed tomography (CT) data in children of a wide range of sizes and investigate the roundness of arteries. The ED (average of short and long axes) and CSA for the PA and BPA were measured using 1-mm collimation double-oblique reconstructions. Ordinary least squares regression was used to investigate models with various functional forms that related ED and CSA to patient size. Aspect ratio (AR), the short axis divided by long axis, was measured to evaluate roundness. The ideal diameter derived from CSA measurements was compared to ED, short axis, and long axis measurements. 108 CT examinations were analyzed in children without reason for abnormal PA size who ranged in age from 0 to 18 years (mean, 10.9 years; SD, 5.9 years). Interrater reliability was excellent. Data were modeled using a natural log-transformed response variable and a linear term for height as the independent variable. AR for the PA, right pulmonary artery, and left pulmonary artery measured <?0.9 for 38, 55, and 37%, respectively, indicating that many arteries are not round. Ideal diameter was not significantly different than ED but was for short- and long-axis diameter measurements. Normal ED and CSA for PA and BPA were determined for children of different sizes. Measurements outside of the normal range are consistent with dilatation or stenosis. Single diameter techniques are likely to introduce error.     

Survey on Neonatal End-of-Life Comfort Care Guidelines Across America

Context

Infants of age less than one year have the highest mortality rate in pediatrics. The American Academy of Pediatrics published guidelines for palliative care in 2013; however, significant variation persists among local protocols addressing neonatal comfort care at the end-of-life (EOL).

Diffusion-weighted magnetic resonance enterography for prediction of response to tumor necrosis factor inhibitors in stricturing Crohn’s disease

Background and aims

Distinguishing between fibrotic and inflammatory strictures in Crohn’s disease (CD) is still challenging. The capacity of diffusion-weighted (DWI) magnetic resonance (MRE) to identify intestinal fibrosis was recently demonstrated; however, the therapeutic implications of this association have never been evaluated. The aim of the current study was to identify imaging features, including DWI, which can predict response to anti-inflammatory treatment in patients with stricturing CD.

Methods

Consecutive CD patients with intestinal strictures that initiated treatment with anti-tumor necrosis alpha (anti-TNF) between June 2012 and April 2017 with MRE adjacent to treatment onset were retrospectively collected. The primary outcome was treatment failure, defined as drug discontinuation, CD-related surgery, or endoscopic dilatation of the stricture. Clinical, demographic, and imaging data were compared between patients who did and did not develop treatment failure within 12 months of anti-TNF treatment initiation.

Results

A total of 21 patients were included in the study; 9/21 (42.8%) developed treatment failure. None of the clinical/demographic parameters were associated with the risk of treatment failure. Among imaging parameters, only ADC value (< 1 × 10⁻³ mm²/s) was significantly associated with the risk of treatment failure (AUC = 0.81, 66% vs. 0%, p = 0.015).

Conclusions

Our results suggest that ADC value on DWI MRE may predict the risk of treatment failure in stricturing CD. If replicated in larger studies, these results may guide therapeutic decisions and suggest avoiding anti-TNF treatment.

     

Facebook for Health Promotion: Female College Students' Perspectives on Sharing HPV Vaccine Information Through Facebook

Facebook, a social network site, has been widely used among young adults. However, its potential to be used as a health promotion medium has not been fully examined. This study explored Facebook''s potential for sharing human papillomavirus (HPV) vaccine information among female college students in Hawai‘i. Culturally tailored flyers and handouts were developed and distributed at one large university in Hawai‘i to recruit female college students between the age of 18 and 26 having an active Facebook account. Three focus group meetings were conducted to gather student perspectives about how information about HPV vaccine may be best shared via Facebook. We found that students believed Facebook is a good awareness tool but they needed more knowledge about the HPV vaccine to feel comfortable sharing the information. Participants preferred forwarding information to chatting about HPV. Some participants expressed concern that their Facebook friends would think the HPV vaccine information they forwarded on Facebook is spam. Participants suggested prefacing the posted HPV vaccine information with a personal note in their own words to make the message more interesting and relevant to their Facebook friends. Future interventions using Facebook to promote HPV vaccine could provide students with HPV vaccine information from credible sources and ask students to attach personal testimonials or endorsements while forwarding the information on Facebook.