Computer based "Concept Mapping" supports meaningful learning in human anatomy: Changing the learning culture by activating a process of creative learning

Zielsetzung: Studierende der Medizin werden im vorklinischen Studienabschnitt mit einer Fülle von Informationen und Detailwissen aus unterschiedlichen Gebieten konfrontiert. Viele Studierende neigen dazu, das von ihnen erwartete Wissen in Form von schnell verfügbarem, prüfungsrelevantem Wissen auswendig zu lernen. Dieses Wissen ist meist nicht konzeptuell verankert und geht in der Regel rasch verloren. Ziel des an der J.W. Goethe-Universität Frankfurt für das Fach Anatomie erarbeiteten Konzeptes ist es, Studierende beim Aufbau von Lernstrategien zu unterstützen, mit deren Hilfe sie erworbenes Wissen leichter strukturieren und Zusammenhänge zwischen vielfältigen Fakten und Wissensgebieten herstellen können. Eine wichtige Methode des erarbeiteten Lehr-/Lernkonzeptes ist das computergestützte Concept Mapping, bei der Studierende ihr Wissen über funktionale Zusammenhänge der verschiedenen räumlichen und zeitlichen Dimensionen des Körpers visualisieren. Die in Kleingruppen organisierte Arbeit an den Concept Maps, bei der die individuell unterschiedlichen Perspektiven auf den Gegenstandsbereich zusammengetragen und diskutiert werden müssen, zielt darüber hinaus auf einen Wandel der Lernkultur des häufig durch Faktenwissen und Einzelgängertum geprägten Medizinstudiums. Methodik: Die Einführung des computergestützten Concept Mappings in der Anatomie als neue Lehr-/Lernmethode in der medizinischen Ausbildung wurde an drei unterschiedlichen Gruppen (je 20 Teilnehmer) verschiedener Semester (2006/07) wissenschaftlich begleitet. Die Veranstaltungen wurden formativ und summativ evaluiert. Die deskriptive Darstellung der Evaluationsergebnisse wurde durch die Analyse der Daten auf systematische Zusammenhänge und Unterschiede vervollständigt. Ergebnisse: Die Ergebnisse der Studierendenbefragung bestätigen die Annahme, dass die Concept Map-Methode als geeignetes Instrument zur besseren Verdeutlichung von fachlichen Zusammenhängen in einem naturwissenschaftlich-medizinischen Fach (Anatomie) wahrgenommen wird und effektiv zum Aufbau vernetzter Wissensstrukturen eingesetzt werden kann. Besonders positiv wurden darüber hinaus die Lernprozesse in den Kleingruppen erlebt. Schlussfolgerung: Die Einführung des computergestützten Concept Mapping als kreativer Lernprozess in Kleingruppen liefert ein erfolgreiches und von den Studierenden akzeptiertes Konzept zur Unterstützung vernetzenden Denkens und konzeptuellen Lernens. Über die Beschäftigung mit den Concept Maps können kooperative Lernformen in den Regelbetrieb der Medizinerausbildung in der Anatomie integriert werden, die die Studierenden stark motivieren und zu einem Wandel der Lernkultur beitragen

Impact of clinical characteristics on human chorionic gonadotropin regression after molar pregnancy

OBJECTIVES: This study aimed to determine the effects of age, race/ethnicity, body mass index, and contraception on human chorionic gonadotropin (hCG) regression following the evacuation of a molar pregnancy. METHODS: This was a retrospective cohort study of 277 patients with molar pregnancies between January 1, 1994 and December 31, 2015. The rate of hCG regression was estimated using mixed-effects linear regression models on daily log-transformed serum hCG levels after evacuation. RESULTS: There were no differences in hCG half-lives among age (p=0.13) or race/ethnicity (p=0.16) groups. Women with obesity and hormonal contraceptive use demonstrated faster hCG regression than their counterparts (3.2 versus. 3.7 days, p=0.02 and 3.4 versus. 4.0 days, p=0.002, respectively). CONCLUSION: Age and race/ethnicity were not associated with hCG regression rates. Hormonal contraceptive use and obesity were associated with shorter hCG half-lives, but with unlikely clinical significance. It is important to understand whether the clinical characteristics of patients may influence the hCG regression curve, as it has been proposed as a way to predict the risk of gestational trophoblastic neoplasia

Novel use of an exchange catheter to facilitate intubation with an Aintree catheter in a tall patient with a predicted difficult airway: a case report

<p>Abstract</p> <p>Introduction</p> <p>The Aintree intubating catheter (Cook^®Medical Inc., Bloomington, IN, USA) has been shown to successfully facilitate difficult intubations when other methods have failed. The Aintree intubating catheter (Cook^®Medical Inc., Bloomington, IN, USA) has a fixed length of 56 cm, and it has been suggested in the literature that it may be too short for safe use in patients who are tall.</p> <p>Case presentation</p> <p>We present the case of a 32-year-old, 180 cm tall Caucasian woman with a predicted difficult airway who presented to our facility for an emergency cesarean section. After several failed intubation attempts via direct laryngoscopy, an airway was established with a laryngeal mask airway. After delivery of a healthy baby, our patient's condition necessitated tracheal intubation. A fiber-optic bronchoscope loaded with an Aintree intubating catheter (Cook^®Medical Inc., Bloomington, IN, USA) was passed through the laryngeal mask airway into the trachea until just above the carina, but was too short to safely allow for the passage of an endotracheal tube.</p> <p>Conclusions</p> <p>We present a novel technique in which the Aintree intubating catheter (Cook^®Medical Inc., Bloomington, IN, USA) was replaced with a longer (100 cm) exchange catheter, over which an endotracheal tube was passed successfully into the trachea.</p

Documentation of body mass index and control of associated risk factors in a large primary care network

<p>Abstract</p> <p>Background</p> <p>Body mass index (BMI) will be a reportable health measure in the United States (US) through implementation of Healthcare Effectiveness Data and Information Set (HEDIS) guidelines. We evaluated current documentation of BMI, and documentation and control of associated risk factors by BMI category, based on electronic health records from a 12-clinic primary care network.</p> <p>Methods</p> <p>We conducted a cross-sectional analysis of 79,947 active network patients greater than 18 years of age seen between 7/05 - 12/06. We defined BMI category as normal weight (NW, 18-24.9 kg/m²), overweight (OW, 25-29.9), and obese (OB, ≥ 30). We measured documentation (yes/no) and control (above/below) of the following three risk factors: blood pressure (BP) ≤130/≤85 mmHg, low-density lipoprotein (LDL) ≤130 mg/dL (3.367 mmol/L), and fasting glucose <100 mg/dL (5.55 mmol/L) or casual glucose <200 mg/dL (11.1 mmol/L).</p> <p>Results</p> <p>BMI was documented in 48,376 patients (61%, range 34-94%), distributed as 30% OB, 34% OW, and 36% NW. Documentation of all three risk factors was higher in obesity (OB = 58%, OW = 54%, NW = 41%, p for trend <0.0001), but control of all three was lower (OB = 44%, OW = 49%, NW = 62%, p = 0.0001). The presence of cardiovascular disease (CVD) or diabetes modified some associations with obesity, and OB patients with CVD or diabetes had low rates of control of all three risk factors (CVD: OB = 49%, OW = 50%, NW = 56%; diabetes: OB = 42%, OW = 47%, NW = 48%, p < 0.0001 for adiposity-CVD or diabetes interaction).</p> <p>Conclusions</p> <p>In a large primary care network BMI documentation has been incomplete and for patients with BMI measured, risk factor control has been poorer in obese patients compared with NW, even in those with obesity and CVD or diabetes. Better knowledge of BMI could provide an opportunity for improved quality in obesity care.</p

EFEKTIFITAS JARINGAN PERJALANAN DENGAN MENGGUNAKAN TEORI GRAF HAMILTON (STUDI KASUS SIMPANG LIMA-TERMINAL BATOH, BANDA ACEH)

Terminal adalah suatu prasarana transportasi jalan untuk menurunkan dan menaikkan penumpang, yang mengatur kedatangan dan pemberangkatan kendaraan umum. Memperbanyak jaringan jalan dan membuatnya terintegrasi juga merupakan salah satu pertimbangan yang membuat perjalanan menjadi lebih efisien dan lebih efektif, sehingga diperoleh penghematan waktu tempuh dalam pergerakan trayek angkutan umum penumpang dan barang. Berdasarkan latar belakang yang telah dipaparkan di atas, maka dilakukan studi yang bertujuan untuk menentukan jalur terbaik berdasarkan waktu dan rute terpendek dalam sistem jaringan jalan dari Simpang Lima menuju Terminal Batoh Kota Banda Aceh dengan tiga rute alternatif. Pengumpulan data jarak tempuh dan waktu tempuh perjalanan, dilakukan pada jaringan jalan tersebut dengan menggunakan odometer dan stopwatch. Data tersebut kemudian dilakukan perhitungan dengan bantuan Microsoft Excel. Pemodelan menggunakan metode Graf, kemudian dilakukan analisis siklus Hamilton. Hasil yang diperoleh dari perhitungan analisis interaksi kegiatan jaringan pergerakan adalah apabila rute 1 yang beroperasi, maka jumlah pergerakan lalu lintas yang terjadi, yaitu sebesar 5.219 kendaraan/jam dengan waktu tempuh 23,67 menit. Apabila rute 2 yang beroperasi, maka jumlah pergerakan lalu lintas yang terjadi, yaitu sebesar 4.240 kendaraan/jam dengan waktu tempuh 29,14 menit. Apabila rute 3 yang beroperasi, maka jumlah pergerakan lalu lintas yang terjadi, yaitu sebesar 5.598 kendaraan/jam dengan waktu tempuh 22,07 menit. Apabila rute 1 dan rute 2 sama-sama beroperasi, maka jumlah total pergerakan lalu lintas adalah 6.795 kendaraan/jam dengan waktu tempuh 18,18 menit. Apabila rute 1, 2 dan 3 sama-sama beroperasi, maka jumlah total pergerakan lalu lintas adalah 43.895 kendaraan/jam dengan waktu tempuh 2,81 menit. Maka rute kombinasi 1, 2 dan 3 yang efektifitas beroperasi sekaligus, karena semakin banyak pilihan rute atau alternatif jaringan, maka semakin besar pergerakan yang dapat dilakukan dan waktu tempuh yang dihasilkan semakin kecil. Kata kunci: pemilihan jalur alternatif, rute efektif, metode graf hamilton.Banda Ace

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts