Potential prebiotic and antibacterial activities of fucoidan from Laminaria japonica.

Fucoidan from Laminaria japonica became sterilized with an autoclave and ultraviolet (UV) radiation. Potential prebiotic and antibacterial activities of sterilized fucoidans (SF) were the subject of investigation. Molecular weight, monosaccharide composition, FTIR, and NMR spectra of SF underwent evaluations to elucidate the relationship between the structure and activities of SF. The growth of Lactobacillus rhamnosus GG and L. acidophilus with autoclave sterilized fucoidan (ASF) and the growth of L. plantarum, L. gasseri, L. paracasei, and L. reuteri with UV sterilized fucoidan (USF) increased significantly. Also, fucoidan was vastly more effective than fructooligosaccharides in improving the growth of L. gasseri, L. reuteri, and L. paracasei. The growth of Escherichia coli and Bacillus cereus decreased at each SF concentration. ASF was more effective against E. coli, B. cereus, and Staphylococcus aureus than the USF efficiency. However, USF exhibited more inhibitory effects on the growth of Enterobacteriaceae compared to the ASF efficiency. When comparing the ASF and USF, autoclave caused a considerable decrease in molecular weight and uronic acid content, increased fucose and galactose, and made no significant changes in NMR spectra. Fucoidan effectively promoted probiotic bacterial growth and reduced pathogenic outbreaks in the medium. Therefore, it can occur as a new algal prebiotic and antibacterial agent.

Evaluation of the clinical educational environment based on the DREEM model from the viewpoint of the OR students.

BACKGROUND: The most important part of learning happens in the clinic. To determine the differences between the real educational environment and the desirable environment, the DREEM1 model is used. The present study was conducted to evaluate the clinical educational environment based on the DREEM model from the viewpoint of the OR2 students of the Lorestan University of Medical Sciences. MATERIALS AND METHODS: The present descriptive-analytical cross-sectional study evaluated the viewpoint of 118 students of operation room (OR) technology using the DREEM (Dundee Ready Educational Environment Measure) questionnaire in the hospitals affiliated with the Lorestan University of Medical Sciences during the second semester of 2020. The DREEM questionnaire has 50 statements and is divided into five sections, which are rated on a five-point Likert scale (0-4). The data were analyzed using frequency distribution tables, mean and standard deviation indices, Mann-Whitney and Kruskal-Wallis tests. Data analysis was conducted using IBM SPSS Statistics 22.0. IBM Corp.; 2013. and the level of significance was set at 0.05. RESULTS: The total perception of the students of the clinical educational environment was good and excellent in 73.8% of the cases and of the subscales was also good (50.8%-63.2%). There was a significant relation between the total score of students' perception of the clinical educational environment and age (Z = 5.618, P < 0.001), semester (χ2= 43.929, df = 3, P < 0.001), internship hospital (χ2= 12.948, df = 6, P = 0.044) and also the mean score of the subscales (P < 0.001). As the GPA3 and interest in the major increased, the mean score of total perception and its subscales also increased except for perception from the educators (P < 0.05). CONCLUSION: According to the results, the studied students had a positive perception of the clinical educational environment. It is recommended that the scientific foundation of the educators, the physical facilities of the operating rooms, and social communication should be strengthened to improve the care, treatment, and educational services. It will be useful to use the results to improve the accreditation level of medical centers.

Obesity and incidence of colorectal polyps: a case-controlled study.

Previous essays have presented possible concordance between obesity and colorectal polyp development. However, neither for the hypothesis nor for the details general consensus exists. This study aimed to evaluate the association between higher BMI rather than the normal and colorectal polyp presentation and characteristics if any. Methods: Eligible patients based on study criteria who were candidates for total colonoscopy examination enrolled in this case-controlled trial. Controls had normal colonoscopy reports. A positive colonoscopy for any kind of polyp was followed by a histopathological study. Demographic data also was registered, and patients were categorized according to the calculated BMI. Groups were matched by both gender and status of tobacco abuse. Finally, the outcomes of colonoscopy and histopathological studies were compared between groups. Results: A total of 141 and 125 persons investigated, respectively, as patients and controls. Possible effects of gender, tobacco abuse, and cigarette smoking were declined by participants matching. Hence, we found no significant difference between groups regarding the latter variables (P>0.05). Colorectal polyps were found absolutely more in BMI>25 kg/m-2 rather than in lesser values (P<0.001). However, there was no obvious difference in the incidence of colorectal polyps between groups categorized as overweight and obese (P>0.05). Namely, even weighing over could be the risk for colorectal polyp development. Additionally, it was more expected to find neoplastic adenomatous polyp(s) with high-graded dysplasia in BMI>25 kg/m-2 (P<0.001). Conclusion: Even little changes in BMI further than the normal values can independently increase the risk of developing dysplastic adenomatous colorectal polyp(s) significantly.

Surface imprinting by using bi-functional monomers on spherical template magnetite for selective detection of levodopa in biological fluids.

The present work introduces an innovative biosensing platform for greatly sensitive determination of levodopa medicine. Initially, spherical magnetic (SM) nanoparticles were prepared by hydrothermal fabrication approach and used as a pattern to make spherical magnetic molecular imprinted polymer (SMMIP). Afterward, levodopa-molecularly imprinted layer was grown on the surface of the spherical magnetic pattern by electropolymerization with dopamine and resorcinol as bi-functional monomers and levodopa as a template molecule, which enhanced the specific recognition of the sensing platform to levodopa. The presence of SM nanoparticles could not only accelerate the mass transfer, the electron transport rate, and improve specific surface area of the electrode but also facilitate the recognition of the polymer, in this way increasing the current response and improving the performance of the biosensor. The superior sensing efficiency of the presented biosensor was confirmed based on the low limit of detection of 10 nmol L-1 which represented two linear ranges from 0.5 to 200 µmol L-1 and 200-1000 µmol L-1 for levodopa. More importantly, the practicability of the biosensor was proved by detecting levodopa in tablet, blood serum and plasma, implying that the sensing platform was suitable for monitoring levodopa in actual biological fluid and medicine.

High affinity aptamers for ultra-sensitive detection of aflatoxin B1 in milk and groundnut samples with label-free photo-electrochemical aptasensor.

Aflatoxin B1 is a potent liver toxin and easily accumulated in foodstuff and environment via the food chain, subjecting high hazards to human health. Rapid initial diagnosis is one of the most impressive monitoring procedures to overcome the potential hazards. Nevertheless, the classical approaches confront many limitations, like low specificity and sensitivity and complicated procedures. Herein, a photo-electrochemical aptasensor based on sensitized poly(dopamine)@functionalized multiwall carbon nanotube/titanium dioxide (PDA@f-MWCNTs/TiO2 NTs) was designed to detect aflatoxin B1 in real samples (e.g. groundnut and milk). The mentioned label-free biosensing platform not only needed simple operations but also presented outstanding reusability, storage stability, reproducibility, and specificity simultaneously. This suggested strategy could sensitively and selectively detect aflatoxin B1 with dynamic range of 0.005-50 ng/mL and a low limit of detection 1 pg/mL. This procedure could provide the bright prospect for detection of aflatoxin B1 residues in foodstuff.

Corrosion resistance and surface microstructure of Mg3 N2 /SS thin films by plasma focus instrument.

Utilizing a plasma focus (PF) instrument, magnesium nitride (Mg3 N2 ) thin films were synthesized on stainless steel substrates. Twenty five optimum focus shots at 8 cm distance from the anode tip were used to deposit the films at different angular positions regarded to the anode axis. Scanning electron microscopy (SEM), atomic force microscopy (AFM), and X-ray diffraction (XRD) analyses were performed to assess the surface morphology and structural characteristics of Mg3 N2 films. Based on AFM images, these films were studied to understand the effect of angular position variation on their surfaces through morphological and fractal parameters. By increasing the angle, we verify that the grain size decreased from 130(0) nm to 75(5) nm and also the mean quadratic surface roughness of the films reduced in its average values from (28.97 ± 3.24) nm to (23.10 ± 1.34) nm. Power spectrum density analysis indicated that films become more self-affine at larger angles. Furthermore, the corrosion behavior of the films was investigated through a potentiodynamic polarization test in H2 SO4 solution. It was found that the ion energy and flux, varying with the angular positions from the anode tip, directly affected the nanostructured roughness and surface morphology of the samples. The electrochemical studies of films show that the uncoated sample presented the lowest corrosion resistance. The highest corrosion resistance was obtained for the sample deposited with 25 optimum shots and at 0° angular position reaching a reduction in the corrosion current density of almost 800 times compared to the pure stainless steel-304 substrate. HIGHLIGHTS: Mg3 N2 /SS films have been deposited at different angles by plasma focus (PF) instruments. The effect of angular position on the surface microtexture, morphological parameters, and corrosion features of the films was studied. The RBS measurement and X-ray diffraction are utilized to identify the crystalline phases and thickness of films.

Effect of Bone Marrow Mesenchymal Stem Cell Sheets on Skin Capillary Parameters in a diabetic wound model: A Novel Preliminary Study

Background: Treatment with BMMSCs has anti-inflammatory, tissue regenerative, angiogenic, and immune-stimulating effects. When using as sheets or accumulate, BMMSCs causes the development of neoangiogenesis in damaged skin tissue. Diabetes, a metabolic disorder, can negatively affect many physiological functions, including the process of skin injury repair. This adverse impact may increase the risk of skin surgery. RSF is commonly used in reconstructive surgery. The terminal part of the RSF is often affected by necrosis because of impaired blood flow, which is exacerbated in diabetes. This study investigated the effect of stem cells, applied as accumulated or cell sheets, along with RSF surgery on skin capillaries in STZ-induced diabetic rats. Methods: Thirty male Wistar rats were divided into three groups (n = 10): diabetes-RSF control, diabetes-RSF local applied stem cells (loc-BMMSCs), diabetes-RSF applied stem cells as accumulated or cell sheets (ac-BMMSCs). Two weeks after the STZ injection, RSF surgery and stem cell therapy (6 × 109) were carried out (day zero). Furthermore, stereological methods were used to investigate the capillary patterns among the groups. Anti-CD31/PCAM1 immunohistochemistry was also used for further confirmation of changes in capillary parameters. Results: The results demonstrated that capillaries were protected by MSC sheets in the flap tissue, and the thickness of the epidermal layer was improved, indicationg the possible beneficial effects of MSC sheets on diabetic wound treatment. Conclusion: Stem cells, as ac-BMMSCs, may decrease the levels of wound healing complications in diabetes and can be considered as a cell therapy option in such conditions.

Thrombocytosis in a patient with acute promyelocytic leukemia during treatment with all-trans retinoic acid and arsenic trioxide.

Thrombocytosis is an unusual side effect of all-trans retinoic acid (ATRA) treatment that occurs in some patients with acute promyelocytic leukemia (APL).

Annotation and initial evaluation of a large annotated German oncological corpus.

OBJECTIVE: We present the Berlin-Tübingen-Oncology corpus (BRONCO), a large and freely available corpus of shuffled sentences from German oncological discharge summaries annotated with diagnosis, treatments, medications, and further attributes including negation and speculation. The aim of BRONCO is to foster reproducible and openly available research on Information Extraction from German medical texts. MATERIALS AND METHODS: BRONCO consists of 200 manually deidentified discharge summaries of cancer patients. Annotation followed a structured and quality-controlled process involving 2 groups of medical experts to ensure consistency, comprehensiveness, and high quality of annotations. We present results of several state-of-the-art techniques for different IE tasks as baselines for subsequent research. RESULTS: The annotated corpus consists of 11 434 sentences and 89 942 tokens, annotated with 11 124 annotations for medical entities and 3118 annotations of related attributes. We publish 75% of the corpus as a set of shuffled sentences, and keep 25% as held-out data set for unbiased evaluation of future IE tools. On this held-out dataset, our baselines reach depending on the specific entity types F1-scores of 0.72-0.90 for named entity recognition, 0.10-0.68 for entity normalization, 0.55 for negation detection, and 0.33 for speculation detection. DISCUSSION: Medical corpus annotation is a complex and time-consuming task. This makes sharing of such resources even more important. CONCLUSION: To our knowledge, BRONCO is the first sizable and freely available German medical corpus. Our baseline results show that more research efforts are necessary to lift the quality of information extraction in German medical texts to the level already possible for English.

HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition.

SUMMARY: Named entity recognition (NER) is an important step in biomedical information extraction pipelines. Tools for NER should be easy to use, cover multiple entity types, be highly accurate and be robust toward variations in text genre and style. We present HunFlair, a NER tagger fulfilling these requirements. HunFlair is integrated into the widely used NLP framework Flair, recognizes five biomedical entity types, reaches or overcomes state-of-the-art performance on a wide set of evaluation corpora, and is trained in a cross-corpus setting to avoid corpus-specific bias. Technically, it uses a character-level language model pretrained on roughly 24 million biomedical abstracts and three million full texts. It outperforms other off-the-shelf biomedical NER tools with an average gain of 7.26 pp over the next best tool in a cross-corpus setting and achieves on-par results with state-of-the-art research prototypes in in-corpus experiments. HunFlair can be installed with a single command and is applied with only four lines of code. Furthermore, it is accompanied by harmonized versions of 23 biomedical NER corpora. AVAILABILITY AND IMPLEMENTATION: HunFlair ist freely available through the Flair NLP framework (https://github.com/flairNLP/flair) under an MIT license and is compatible with all major operating systems. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

HUNER: improving biomedical NER with pretraining.

MOTIVATION: Several recent studies showed that the application of deep neural networks advanced the state-of-the-art in named entity recognition (NER), including biomedical NER. However, the impact on performance and the robustness of improvements crucially depends on the availability of sufficiently large training corpora, which is a problem in the biomedical domain with its often rather small gold standard corpora. RESULTS: We evaluate different methods for alleviating the data sparsity problem by pretraining a deep neural network (LSTM-CRF), followed by a rather short fine-tuning phase focusing on a particular corpus. Experiments were performed using 34 different corpora covering five different biomedical entity types, yielding an average increase in F1-score of ∼2 pp compared to learning without pretraining. We experimented both with supervised and semi-supervised pretraining, leading to interesting insights into the precision/recall trade-off. Based on our results, we created the stand-alone NER tool HUNER incorporating fully trained models for five entity types. On the independent CRAFT corpus, which was not used for creating HUNER, it outperforms the state-of-the-art tools GNormPlus and tmChem by 5-13 pp on the entity types chemicals, species and genes. AVAILABILITY AND IMPLEMENTATION: HUNER is freely available at https://hu-ner.github.io. HUNER comes in containers, making it easy to install and use, and it can be applied off-the-shelf to arbitrary texts. We also provide an integrated tool for obtaining and converting all 34 corpora used in our evaluation, including fixed training, development and test splits to enable fair comparisons in the future. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

A Genotype-First Approach for Clinical and Genetic Evaluation of Wolcott-Rallison Syndrome in a Large Cohort of Iranian Children With Neonatal Diabetes.

OBJECTIVE: Wolcott-Rallison syndrome (WRS) is an extremely rare autosomal recessive condition, characterized by permanent neonatal diabetes mellitus (PNDM) associated with skeletal dysplasia, growth retardation and liver dysfunction. WRS is caused by biallelic mutations in the gene encoding eukaryotic translation initiation factor 2alpha kinase 3 (EIF2AK3). METHODS: As part of a comprehensive study on clinical and genetic investigation of neonatal diabetes in an Iranian population, 60 unrelated Iranian subjects referred with PNDM were analyzed. All the probands were screened for KCNJ11, INS, ABCC8 and EIF2AK3 using a polymerase chain reaction-based sequencing approach. RESULTS: We identified 9 different variants in EIF2AK3 in 11 unrelated Iranian probands, of which 5 variants were shown to be novel and not reported previously. The diagnosis of WRS was made by molecular genetic testing and confirmed by clinical re-evaluation of the subjects. Clinical follow up of the affected individuals shows that in at least some of them, PNDM was associated with short stature, failure to thrive, neurodevelopmental delay, epilepsy and hepatic and renal dysfunction. There was a strong family history of neonatal diabetes in the families of the probands with a high mortality rate. CONCLUSION: WRS is a common cause of PNDM in children of consanguineous parents. Furthermore, clinical diagnosis of WRS would have been delayed or possibly missed without genetic testing because this study shows that the associated features of WRS might be obscured by a diagnosis of PNDM. Therefore EIF2AK3 should be considered for any infant and young child with PNDM, particularly if the parents are related.

Deep learning with word embeddings improves biomedical named entity recognition.

MOTIVATION: Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined features which try to capture the specific surface properties of entity types, properties of the typical local context, background knowledge, and linguistic information. State-of-the-art tools are entity-specific, as dictionaries and empirically optimal feature sets differ between entity types, which makes their development costly. Furthermore, features are often optimized for a specific gold standard corpus, which makes extrapolation of quality measures difficult. RESULTS: We show that a completely generic method based on deep learning and statistical word embeddings [called long short-term memory network-conditional random field (LSTM-CRF)] outperforms state-of-the-art entity-specific NER tools, and often by a large margin. To this end, we compared the performance of LSTM-CRF on 33 data sets covering five different entity classes with that of best-of-class NER tools and an entity-agnostic CRF implementation. On average, F1-score of LSTM-CRF is 5% above that of the baselines, mostly due to a sharp increase in recall. AVAILABILITY AND IMPLEMENTATION: The source code for LSTM-CRF is available at https://github.com/glample/tagger and the links to the corpora are available at https://corposaurus.github.io/corpora/ . CONTACT: habibima@informatik.hu-berlin.de.

Recognizing chemicals in patents: a comparative analysis.

Recently, methods for Chemical Named Entity Recognition (NER) have gained substantial interest, driven by the need for automatically analyzing todays ever growing collections of biomedical text. Chemical NER for patents is particularly essential due to the high economic importance of pharmaceutical findings. However, NER on patents has essentially been neglected by the research community for long, mostly because of the lack of enough annotated corpora. A recent international competition specifically targeted this task, but evaluated tools only on gold standard patent abstracts instead of full patents; furthermore, results from such competitions are often difficult to extrapolate to real-life settings due to the relatively high homogeneity of training and test data. Here, we evaluate the two state-of-the-art chemical NER tools, tmChem and ChemSpot, on four different annotated patent corpora, two of which consist of full texts. We study the overall performance of the tools, compare their results at the instance level, report on high-recall and high-precision ensembles, and perform cross-corpus and intra-corpus evaluations. Our findings indicate that full patents are considerably harder to analyze than patent abstracts and clearly confirm the common wisdom that using the same text genre (patent vs. scientific) and text type (abstract vs. full text) for training and testing is a pre-requisite for achieving high quality text mining results.

NaOH-free debittering of table olives using power ultrasound.

A major drawback to the extension of NaOH-free olive debittering is its lengthy processing. In this research, the power ultrasound efficacy was investigated in a laboratory scale to accelerate this process. Olive fruits were sonicated in water or brine (15% NaCl). The effects of ultrasound-assisted debittering (UAD) were evaluated on olives physicochemical and textural properties in comparison with conventional debittering (CD). In UAD, however, the removal rate of phenolic compounds, which cause olives natural bitterness, increased significantly and as a result, the processing time decreased by 37.8% and 38.6% when debittering was done in water and brine, respectively. The chemical compositions, fatty acids profile, total color differences, Firmness and other textural parameters of UAD-treated samples remained unchanged and their antioxidant activity was significantly higher in comparison with CD-treated samples. Remarkably, UAD was able to speed up and promote NaOH-free olive debittering, without causing any undesirable changes.

Biodegradation of naphthalene using Pseudomonas aeruginosa by up flow anoxic-aerobic continuous flow combined bioreactor.

BACKGROUND: Naphthalene is a poly aromatic hydrocarbon (PAH) present in many sediment-water systems. The aim of this study was to evaluate the applicability of an anoxic/aerobic system for the biological treatment of water polluted by naphthalene by Pseudomonas aeruginosa PTCC 1707 to utilize naphthalene. The naphthalene elimination from wastewater was determined in anoxic-aerobic continuous flow combined bioreactor under continuously oxic and anoxic conditions. Experiments were conducted in continues mode, and naphthalene was administered in consecutive spike doses. Then Pseudomonas aeruginosa bacteria suspension with a specific turbidity (0.5-10 NTU) was prepared from growing bacteria on R2A medium and injected to reactor. FINDINGS: At naphthalene concentration = 0.5-20 mg/L, 33-65.5% naphthalene removal efficiencies were observed. Mean COD removal efficiency in solid retention times of 2, 4, 6, and 8 days was 82.7, 92.45, 95.97 and 96.1%, respectively. Naphthalene removal efficiency by bacterium pseudomonas at pH 8 was 96% and at pH 4, 5.5, 7 and 9.5, 68, 80, 90 and 85%, respectively. As the initial concentration of naphthalene increased from 0.5 to 20 mg/L, the remaining concentration of naphthalene decreased from 33.4% to 65.5% after 3 days. CONCLUSION: Based on experimental results, it was determined that this process can effectively reduce naphthalene under optimal conditions and this method can be used for the removal of similar compounds.

Falls and postural control in older adults with cataracts.

BACKGROUND: There is increasing evidence that visual impairment contribute to falling. The aim of this study was to determine the influence of vision impairment of old adult patients with cataract on the occurrence of falls and postural control. METHODS: According to the results of screening ophthalmic examination, 48 cataract patients (mean±SD aged 68.5 ± 6.08 yrs.) and 50 individuals without any obvious eye disorders (mean age ± SD 70.7 ± 5.97 yrs.) were enrolled in this study. The postural control was determined using the clinical test of Sensory Interaction and Balance (CTSIB) and Timed up and Go (TUG) test. RESULTS: The results of this study revealed that 18% (n = 9) of the normal individuals and 22.9% (n =11) of the cataract patients had at least two falls in the past 12 months. However, the result of chisquare test did not show any differences between the two groups (p= 0.36). The mean ± SD TUG times in cataract and control groups in our study were15.17 ± 3.58 and13.77 ± 4.90, respectively. However, no significant differences were found between the two groups (p= 0.12).The results of CTSIB test showed no significant differences between the two groups on standing on the floor with eyes open and eyes closed (p= 0.61, p= 0.89) and on standing on the foam with eyes open and eyes closed (p= 0.32, p= 0.74 ). CONCLUSION: According to the results of CTSIB and TUG tests, vision impairment of old adult patients with cataract is not associated with falls and balance disorders. Further work including assessment of postural control with advanced devices and considering other falls risk factors are also required to identify predictors of falls in cataract patients.

BUDGET IMPACT ANALYSIS OF USING OMEPRAZOLE IMMEDIATE-RELEASE ORAL SUSPENSION IN REPLACE OF INTRAVENOUS PANTOPRAZOLE IN CRITICALLY ILL PATIENTS.

OBJECTIVES: The aim of the present study was to estimate the financial consequence of using omeprazole immediate-release (IR) oral suspension versus pantoprazole intravenous infusion for preventing stress-related upper gastrointestinal bleeding in critically ill patients from the perspective of the health care system. METHODS: An Excel-based model was developed to compare the cost of prevention of upper gastrointestinal bleeding early after intensive care admission using the current intravenous (IV) pantoprazole formulation versus omeprazole IR oral suspension. Total costs included the cost of acid suppressive drugs and related clinical outcomes. Inputs were obtained from a local clinical trial, the Ministry of Health database, insurance organizations, hospital and pharmacy registries, the relevant literature, and expert opinion. The robustness of the input data was investigated by one-way sensitivity analysis. The model was developed based on the results of a randomized control trial (RCT), in which experimental and control groups received omeprazole and pantoprazole, respectively. RESULTS: According to the proposed model, the cost of gastrointestinal (GI) bleeding prevention using pantoprazole IV was US$ 950,000 while US$ 750,000 was spent on receiving omeprazole oral suspension. These costs led to the annual cost-saving of almost US$ 200,000 (US$4 per member, per month) for the health care system. CONCLUSIONS: In the present study, a budget impact analysis was performed to assess the financial consequences of using omeprazole IR oral suspension in place of pantoprazole IV for prevention of upper gastrointestinal bleeding. The better preventive effect of omeprazole IR oral suspension when compared with conventional therapy using pantoprazole IV was the major reason for the final comparative budgetary savings.

Increasing the number of adverse drug reactions reporting: the role of clinical pharmacy residents.

Detection of adverse drug reactions (ADRs) in hospitals provides an important measure of the burden of drug related morbidity on the healthcare system. Spontaneous reporting of ADRs is scare and several obstacles to such reporting have been identified formerly. This study aimed to determine the role of clinical pharmacy residents in ADR reporting within a hospital setting. Clinical pharmacy residents were trained to report all suspected ADRs through ADR-reporting yellow cards. The incidence, pattern, seriousness, and preventability of the reported ADRs were analyzed. During the period of 12 months, for 8559 patients, 202 ADR reports were received. The most frequently reported reactions were due to anti-infective agents (38.38%). Rifampin accounted for the highest number of the reported ADRs among anti-infective agents. The gastro-intestinal system was the most frequently affected system (21.56%) of all reactions. Fifty four of the ADRs were reported as serious reactions. Eighteen of the ADRs were classified as preventable. Clinical pharmacy residents' involvement in the ADR reporting program could improve the ADR reporting system.

Comparison of debonding characteristics of metal and ceramic orthodontic brackets to enamel: an in-vitro study.

INTRODUCTION: The objectives of this study were to compare the debonding strengths of 1 metal and 2 types of ceramic orthodontic brackets with different retention mechanisms bonded to enamel and to determine the risk of enamel damage after debonding. METHODS: In this interventional in-vitro study, 36 maxillary premolars were divided into 3 groups. Three types of orthodontic brackets (metal, ceramic with chemical retention, and ceramic with mechanical retention) were bonded to the teeth with a luting resin composite. The brackets were debonded with a sharp-edged debonding pliers in a universal testing machine. Enamel cracks were evaluated with a stereomicroscope. The amount of residual adhesive on the enamel surfaces was evaluated with the adhesive remnant index. RESULTS: The mean bond strength for the metal brackets was significantly higher than that of the 2 ceramic brackets (P <.001). No significant difference between the mean bond strengths for the 2 ceramic brackets was observed (P = .238). There was no statistically significant difference in the number (P = .871) or length (P = .188) of enamel cracks among the 3 groups. There were significant differences in the adhesive remnant index scores between metal and chemically retained ceramic brackets (P = .007), and between chemically and mechanically retained ceramic brackets (P = .002). CONCLUSIONS: The risk of enamel damage when debonding ceramic brackets is not greater than the risk when debonding metal brackets.