Purpose: This study aimed to evaluate the effectiveness of simulation-based education on communication and clinical judgment in nursing students and nurses. Methods: A systematic review and meta-analysis were conducted in accordance with the PRISMA guidelines. Seven databases were searched to obtain articles published in Korean or English. Of 12,864 articles reviewed, 36 were included in a systematic review and 23 in a meta-analysis. To estimate the size of the effects of simulation-based education, a meta-analysis was performed using the R package meta program. The risk of bias was assessed using RoB 2.0 and ROBINS-I. Results: The effect sizes (ES) of simulation-based education on communication and clinical judgment were ES=0.77, 95% confidence interval (95% CI)=0.43 to 1.12 on communication-related variables and ES=1.84, 95% CI=1.03 to 2.65 on clinical judgment. Conclusion Simulation-based education for nursing students and nurses is useful for improving their communication and clinical judgment. Thus, it is necessary to develop and apply simulation-based education programs for nursing students and nurses to improve their abilities in communications and clinical judgment.

OBJECTIVE: To identify the prevalence of lumbar scoliosis in breast cancer patients and to investigate the potential risk factors of lumbar scoliosis. METHODS: A retrospective chart review was performed in breast cancer patients aged more than 40 years who underwent dual energy X-ray absorptiometry (DEXA) scanning between January 2014 and December 2014. We divided the patients into control and experimental groups in order to investigate the influence of breast cancer treatment. The curvature of the lumbar spine was measured by using the Cobb method on a DEXA scan. Scoliosis was defined by the presence of a curvature 10° or larger. The variables, including age, bone mineral density (BMD), body mass index (BMI), and breast cancer treatments, were also obtained from the medical chart. Prevalence of lumbar scoliosis was evaluated, and it was compared between the two groups. The relationships between lumbar scoliosis and these variables were also investigated. RESULTS: Lumbar scoliosis was present in 16 out of our 652 breast cancer patients. There was no difference in the prevalence of lumbar scoliosis between the control group (7/316) and the experimental group (9/336) (p=0.70). According to the logistic regression analysis, lumbar scoliosis had no significant association with operation, chemotherapy, hormone therapy, BMI, and BMD (p>0.05). However, age showed a significant relationship with prevalence of lumbar scoliosis (p<0.001; odds ratio, 1.11; 95% confidence interval, 1.054–1.170). CONCLUSION: Prevalence of lumbar scoliosis in patients with breast cancer was 2.45%. Lumbar scoliosis had no association with breast cancer treatments, BMD, and BMI. Age was the only factor related to the prevalence of lumbar scoliosis.
Absorptiometry, Photon ; Body Mass Index* ; Bone Density* ; Breast Neoplasms* ; Breast* ; Drug Therapy ; Humans ; Logistic Models ; Methods ; Odds Ratio ; Prevalence* ; Retrospective Studies ; Risk Factors ; Scoliosis* ; Spine

BACKGROUND: The use of point-of-care (POC) devices for evaluating HbA1c is increasing; accordingly, comparisons between these devices and central laboratory methods are important. In the present study, we evaluated the analytical performance of the cobas b 101 analyzer for POC HbA1c testing. METHODS: The analytical quality of the cobas b 101 system was assessed based on repeatability, within-laboratory precision, linearity, and lot-to-lot reproducibility. Two specimen types, i.e., EDTA whole blood and capillary blood, were examined using the cobas b 101 system and the Variant II Turbo instrument. RESULTS: The coefficient of variation for within laboratory precision was 5.22% for a normal HbA1c level and 2.56% for a higher HbA1c level. The method showed good linearity, with a coefficient of correlation of 0.990. In a comparison of two different HbA1c disk lots, a strong correlation (r=0.986) and a mean %difference of −2.9% were observed. The cobas b 101 results using EDTA whole blood were strongly correlated with the Variant II Turbo results (r=0.958), with a mean %difference of 0.8%; the cobas b 101 results using capillary blood were strongly correlated with the Variant II Turbo results, using EDTA whole blood (r=0.976), with a mean %difference of 2.0%. A comparison between HbA1c levels in EDTA whole blood and capillary blood obtained using the cobas b 101 showed a strong correlation (r=0.985) and a mean %difference of 1.3%. CONCLUSIONS: The cobas b 101 analyzer is convenient for the measurement of HbA1c levels for diabetes management.
Capillaries ; Edetic Acid ; Methods ; Point-of-Care Systems* ; Point-of-Care Testing*

Psychrobacter sanguinis has been described as a Gram-negative, aerobic coccobacilli originally isolated from environments and seaweed samples. To date, 6 cases of P. sanguinis infection have been reported. A 53-year-old male was admitted with a generalized tonic seizure lasting for 1 minute with loss of consciousness and a mild fever of 37.8℃. A Gram stain revealed Gram-negative, small, and coccobacilli-shaped bacteria on blood culture. Automated microbiology analyzer identification using the BD BACTEC FX (BD Diagnostics, Germany) and VITEK2 (bioMérieux, France) systems indicated the presence of Methylobacterium spp., Aeromonas salmonicida, and the Moraxella group with low discrimination. The GenBank Basic Local Alignment Search Tool and an Ez-Taxon database search revealed that the 16S rRNA gene sequence of the isolate showed 99.30% and 99.88% homology to 859 base-pairs of the corresponding sequences of P. sanguinis, respectively (GenBank accession numbers JX501674.1 and HM212667.1). To the best of our knowledge, this is the first human case of P. sanguinis bacteremia in Korea. It is notable that we identified a case based on blood specimens that previously had been misidentified by a commercially automated identification analyzer. We utilized 16S rRNA gene sequencing as a secondary method for correctly identifying this microorganism.
Aeromonas salmonicida ; Bacteremia* ; Bacteria ; Databases, Nucleic Acid ; Discrimination (Psychology) ; Fever ; Genes, rRNA ; Humans ; Korea ; Male ; Methods ; Methylobacterium ; Middle Aged ; Moraxella ; Psychrobacter* ; RNA, Ribosomal, 16S ; Seaweed ; Seizures ; Unconsciousness

No abstract available.
Bacteremia* ; Korea*

No abstract available.
Bacteremia* ; Korea*

OBJECTIVE: To determine whether patients with lumbosacral (LS) radiculopathy and peripheral polyneuropathy (PPNP) exhibit sudomotor abnormalities and whether SUDOSCAN (Impeto Medical, Paris, France) can complement nerve conduction study (NCS) and electromyography (EMG). METHODS: Outpatients with lower extremity dysesthesia underwent electrophysiologic studies and SUDOSCAN. They were classified as normal (group A), LS radiculopathy (group B), or PPNP (group C). Pain severity was measured by the Michigan Neuropathy Screening Instrument (MNSI) and visual analogue scale (VAS). Demographic features, electrochemical skin conductance (ESC) values on hands and feet, and SUDOSCAN-risk scores were analyzed. RESULTS: There were no statistical differences in MNSI and VAS among the three groups. Feet-ESC and hands-ESC values in group C were lower than group A and B. SUDOSCAN-risk score in group B and C was higher than group A. With a cut-off at 48 microSiemens of feet-ESC, PPNP was detected with 57.1% sensitivity and 94.2% specificity (area under the curve [AUC]=0.780; 95% confidence interval [CI], 0646–0.915). With a SUDOSCAN-risk score cut-off at 29%, NCS and EMG abnormalities related to LS radiculopathy and PPNP were detected with 64.1% sensitivity and 84.2% specificity (AUC=0.750; 95% CI, 0.674–0.886). CONCLUSION: SUDOSCAN can discriminate outpatients with abnormal electrophysiological findings and sudomotor dysfunction. This technology may be a complementary tool to NCS and EMG in outpatients with lower extremity dysesthesia.
Complement System Proteins ; Cross-Sectional Studies* ; Diabetes Mellitus ; Diagnosis* ; Electromyography ; Erythromelalgia ; Foot ; Galvanic Skin Response ; Hand ; Humans ; Lower Extremity* ; Mass Screening ; Michigan ; Neural Conduction ; Outpatients ; Paresthesia* ; Polyneuropathies ; Radiculopathy ; Sensitivity and Specificity ; Skin

BACKGROUND: Blood culture is an important method for identifying infectious microorganisms and confirming that a selected antimicrobial treatment is appropriate. In this study, we investigated the annual changes in the frequencies of blood isolates and antibiotic susceptibility test (AST) results. METHODS: We created a large database comprising data on all patient-unique blood cultures obtained from January 2007 through December 2016. Blood specimens were cultured using the BD BACTEC FX system, and species identification and AST were performed using the VITEK 2 system. RESULTS: During the 10-year study period, a total of 203,651 blood culture results were collected. Of these, gram-positive cocci, gram-negative rods, and fungi were isolated in 2.15%, 0.55%, and 0.12% of the blood cultures, respectively. Escherichia coli was the most commonly isolated species (22.8%), followed by Staphylococcus epidermidis (16.8%), Klebsiella pneumoniae (8.1%), and Staphylococcus aureus (8.0%). Fungal species were isolated in 3.0% of all positive blood cultures. Candida albicans was the most commonly isolated species (1.1%), followed by Candida parapsilosis (0.6%). Methicillin resistance was seen in 55.2% of S. aureus isolates. The frequencies of vancomycin-resistant Enterococcus (VRE) and carbapenem-resistant Pseudomonas aeruginosa (CRPA) were 13.1% and 10.9%, respectively. The isolation rates of MRSA, VRE, and CRPA showed different patterns each year. CONCLUSIONS: Among the isolates, E. coli was the most common, followed by S. epidermidis and K. pneumoniae. This study represents a long-term analysis of bloodstream infections, and the results can be used to identify trends in the microorganisms isolated and their drug resistance.
Bacteremia ; Candida ; Candida albicans ; Drug Resistance ; Enterococcus ; Escherichia coli ; Fungi ; Gram-Positive Cocci ; Klebsiella pneumoniae ; Korea ; Methicillin Resistance ; Methicillin-Resistant Staphylococcus aureus ; Methods ; Pneumonia ; Pseudomonas aeruginosa ; Staphylococcus aureus ; Staphylococcus epidermidis