PURPOSE: The purpose of study was to compare perceived nursing needs between patients having spinal surgery and the nurses caring for them. METHOD: The participants were from three general hospitals, 71 patients who were having spinal surgery and 63 nurses. Data were collected from September 18 to November 17, 2006. Frequencies, mean, and t-test with the SPSS PC 14.0 program were used to analyze the collected data. RESULTS: The score for perceived nursing needs during pre-op care was significantly different between the patients and nurses (t= -2.515, p= .013). The perceived nursing needs did not show significant differences in scores of perceived nursing needs at post-op or discharge. CONCLUSION: The results provide primary data to improve the quality of nursing care, plan, and implement appropriate nursing care for patients undergoing spinal surgery.
Hospitals, General ; Humans ; Nursing Care ; Spine

Purpose: The purpose of this study was to evaluate the effectiveness of a mental health program utilizing Instagram for nursing students. Methods: A non-equivalent control group pretest-posttest design was used. Fifty-seven nursing students who enrolled in a university during the COVID-19 pandemic in South Korea participated in the study: 30 nursing students (26 females and 4 males) in the experimental group and 27 nursing students (21 females and 6 males) in the control group. The Instagram Program for mental health provided 8 sessions for each topic. The data collected via questionnaires were statistically analyzed. Results: Significant differences were found between the two groups in depression (t=-2.32, p=.024) and anxiety (t=-2.43, p=.018), but there was no significant difference in loneliness (t=0.64, p=.263). Conclusion The Instagram program is accessible for incoming nursing students and effective in decreasing their depression and anxiety during the COVID-19 era. Therefore, this intervention could enhance the mental health of nursing students by allowing them to express their thoughts and feelings through mutual interaction on Instagram.

Purpose: This study aimed to identify the aggressive characteristics of children and adolescents with ASD through an integrated literature review. Methods: Data collection was conducted for papers published in Korean or English language from December 2018 to February 2019. Literature search was conducted through keywords, such as 'autism', 'ASD', 'autistic', 'asperger', 'agress', 'violence', 'SIB', 'child', and 'adolescent', and 19 papers were finally selected. In order to identify the aggressive behavior characteristics and influencing factors of children and adolescents with ASD, the contents of the core results were analyzed through repeated review of research results. Results: Characteristics related to aggression in children and adolescents with ASD were classified into biological factors, cognitive factors, social factors, and affective-emotional factors, and related variables affecting aggression were identified with each topic. Conclusion Based on the results of this study, it is suggested that the basis for the development of accessible interventions for children and adolescents with ASD and their caregivers can be prepared.

Purpose: Rapid changes have occurred in the educational environment of colleges since the outbreak of COVID-19. This study was conducted to determine the factors influencing college life adaptation for nursing students. Methods: The participants included 124 nursing students. A self-administered online questionnaire, available from March 30 to April 10, 2022, was used for data collection. The online questionnaires included COVID-19 stress, interpersonal relations, information literacy, and college life adaptation. Statistical analysis was performed using t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Results: The average score for adapting to college life was 3.32±0.58. Significant differences in college life adaptation were found based on the number of exercise days per week (F=3.62, p=.015), regular daily routine (t=-3.41, p<.001), amount of sleep (t=-3.61, p<.001), sleep quality (t=-3.90, p<.001), and diagnostic self evaluation (F=19.55, p<.001). Factors that influenced college life adaptation included interpersonal relations (β=.36, p<.001), diagnostic self evaluation (good) (β=.48, p<.001), diagnostic self evaluation (fair) (β=.38, p=.005), and COVID-19 stress (β=-.11, p=.027), which explained 38.0% of the college life adaptation. Conclusion Development of a program that integrates interpersonal relations, diagnostic self- evaluation, and COVID-19 stress for nursing students is recommended to improve college life adaptation.

Purpose: Patients with Mycoplasma pneumoniae pneumonia (MPP) can develop atelectasis, and some cases of atelectasis may persist for over 4 weeks. However, the risk factors for the development and persistence of atelectasis ( > 4 weeks) in children with MPP and their clinical characteristics remain understudied. We aimed to investigate the clinical characteristics and associated factors of MPP with atelectasis in children. Methods: We retrospectively analyzed the medical records of 477 children with MPP treated at Pusan National University Yangsan Hospital from November 2014 to March 2020. Demographics, clinical information, laboratory data, and radiological findings were collected from all patients. The patients were divided into 2 groups according to the presence of atelectasis with MPP. The group with atelectasis was further divided into 2 groups according to whether atelectasis was improved. Results: Among 477 children with MPP, 105 developed atelectasis, and 34 showed persistent atelectasis. Children with atelectasis had longer lengths of hospitalization than children without atelectasis. High lactate dehydrogenase (LDH) levels and whole lobar consolidation were independently associated factors for presenting with atelectasis, and long macrolide therapy duration before admission ( > 3 days) was related to persistent atelectasis ( > 4 weeks). Conclusion High LDH levels and whole lobar consolidation were independent associated factors for presenting with atelectasis, and a long macrolide therapy duration before admission was associated with persistent atelectasis. Careful observation and management of children with these associated factors for atelectasis will improve the prognosis of children with MPP.

Objective: Preoperative differential diagnosis of follicular-patterned lesions is challenging. This multicenter cohort study investigated the clinicoradiological characteristics relevant to the differential diagnosis of such lesions. Materials and Methods: From June to September 2015, 4787 thyroid nodules (≥ 1.0 cm) with a final diagnosis of benign follicular nodule (BN, n = 4461), follicular adenoma (FA, n = 136), follicular carcinoma (FC, n = 62), or follicular variant of papillary thyroid carcinoma (FVPTC, n = 128) collected from 26 institutions were analyzed. The clinicoradiological characteristics of the lesions were compared among the different histological types using multivariable logistic regression analyses. The relative importance of the characteristics that distinguished histological types was determined using a random forest algorithm. Results: Compared to BN (as the control group), the distinguishing features of follicular-patterned neoplasms (FA, FC, and FVPTC) were patient’s age (odds ratio [OR], 0.969 per 1-year increase), lesion diameter (OR, 1.054 per 1-mm increase), presence of solid composition (OR, 2.255), presence of hypoechogenicity (OR, 2.181), and presence of halo (OR, 1.761) (all p < 0.05). Compared to FA (as the control), FC differed with respect to lesion diameter (OR, 1.040 per 1-mm increase) and rim calcifications (OR, 17.054), while FVPTC differed with respect to patient age (OR, 0.966 per 1-year increase), lesion diameter (OR, 0.975 per 1-mm increase), macrocalcifications (OR, 3.647), and non-smooth margins (OR, 2.538) (all p < 0.05). The five important features for the differential diagnosis of follicular-patterned neoplasms (FA, FC, and FVPTC) from BN are maximal lesion diameter, composition, echogenicity, orientation, and patient’s age. The most important features distinguishing FC and FVPTC from FA are rim calcifications and macrocalcifications, respectively. Conclusion Although follicular-patterned lesions have overlapping clinical and radiological features, the distinguishing features identified in our large clinical cohort may provide valuable information for preoperative distinction between them and decision-making regarding their management.

Purpose: Fetal well-being is usually assessed via fetal heart rate (FHR) monitoring during the antepartum period. However, the interpretation of FHR is a complex and subjective process with low reliability. This study developed a machine learning model that can classify fetal cardiotocography results as normal or abnormal. Materials and Methods: In total, 17492 fetal cardiotocography results were obtained from Ajou University Hospital and 100 fetal cardiotocography results from Czech Technical University and University Hospital in Brno. Board-certified physicians then reviewed the fetal cardiotocography results and labeled 1456 of them as gold-standard; these results were used to train and validate the model. The remaining results were used to validate the clinical effectiveness of the model with the actual outcome. Results: In a test dataset, our model achieved an area under the receiver operating characteristic curve (AUROC) of 0.89 and area under the precision-recall curve (AUPRC) of 0.73 in an internal validation dataset. An average AUROC of 0.73 and average AUPRC of 0.40 were achieved in the external validation dataset. Fetus abnormality score, as calculated from the continuous fetal cardiotocography results, was significantly associated with actual clinical outcomes [intrauterine growth restriction: odds ratio, 3.626 (p=0.031); Apgar score 1 min: odds ratio, 9.523 (p<0.001), Apgar score 5 min: odds ratio, 11.49 (p=0.001), and fetal distress: odds ratio, 23.09 (p<0.001)]. Conclusion The machine learning model developed in this study showed precision in classifying FHR signals. This suggests that the model can be applied to medical devices as a screening tool for monitoring fetal status.

Vancomycin variable Enterococcus (VVE) bacteria are phenotypically susceptible to vancomycin, but they harbor the vanA gene. We aimed to ascertain the prevalence of VVE among clinically isolated vancomycin-susceptible Enterococcus faecium (VSE) isolates, as well as elucidate the molecular characteristics of the vanA gene cluster within these isolates. Notably, we investigated the prevalence and structure of the vanA gene cluster of VVE. Between June 2021 and May 2022, we collected consecutive, non-duplicated vancomycin-susceptible Enterococcus faecium (VSE) samples. Real-time PCR was performed to detect the presence of vanA, vanB, and vanC. Overlapping PCR with sequencing and whole -genome sequencing were performed for structural analysis. Sequence types (STs) were determined by multilocus sequence typing. Exposure testing was performed to assess the ability of the isolates to acquire vancomycin resistance. Among 282 VSE isolates tested, 20 isolates (7.1%) were VVE. Among them, 17 isolates had partial deletions in the IS1216 or IS1542 sequences in vanS (N = 10), vanR (N = 5), or vanH (N = 2). All VVE isolates belonged to the CC17 complex and comprised five STs, namely ST17 (40.0%), ST1421 (25.0%), ST80 (25.0%), ST787 (5.0%), and ST981 (5.0%). Most isolates were related to three hospital-associated clones (ST17, ST1421, and ST80). After vancomycin exposure, 18 of the 20 VVEs acquired vancomycin resistance. Considering the high reversion rate, detecting VVE by screening VSE for vanA is critical for appropriate treatment and infection control.

Vancomycin variable Enterococcus (VVE) bacteria are phenotypically susceptible to vancomycin, but they harbor the vanA gene. We aimed to ascertain the prevalence of VVE among clinically isolated vancomycin-susceptible Enterococcus faecium (VSE) isolates, as well as elucidate the molecular characteristics of the vanA gene cluster within these isolates. Notably, we investigated the prevalence and structure of the vanA gene cluster of VVE. Between June 2021 and May 2022, we collected consecutive, non-duplicated vancomycin-susceptible Enterococcus faecium (VSE) samples. Real-time PCR was performed to detect the presence of vanA, vanB, and vanC. Overlapping PCR with sequencing and whole -genome sequencing were performed for structural analysis. Sequence types (STs) were determined by multilocus sequence typing. Exposure testing was performed to assess the ability of the isolates to acquire vancomycin resistance. Among 282 VSE isolates tested, 20 isolates (7.1%) were VVE. Among them, 17 isolates had partial deletions in the IS1216 or IS1542 sequences in vanS (N = 10), vanR (N = 5), or vanH (N = 2). All VVE isolates belonged to the CC17 complex and comprised five STs, namely ST17 (40.0%), ST1421 (25.0%), ST80 (25.0%), ST787 (5.0%), and ST981 (5.0%). Most isolates were related to three hospital-associated clones (ST17, ST1421, and ST80). After vancomycin exposure, 18 of the 20 VVEs acquired vancomycin resistance. Considering the high reversion rate, detecting VVE by screening VSE for vanA is critical for appropriate treatment and infection control.

Vancomycin variable Enterococcus (VVE) bacteria are phenotypically susceptible to vancomycin, but they harbor the vanA gene. We aimed to ascertain the prevalence of VVE among clinically isolated vancomycin-susceptible Enterococcus faecium (VSE) isolates, as well as elucidate the molecular characteristics of the vanA gene cluster within these isolates. Notably, we investigated the prevalence and structure of the vanA gene cluster of VVE. Between June 2021 and May 2022, we collected consecutive, non-duplicated vancomycin-susceptible Enterococcus faecium (VSE) samples. Real-time PCR was performed to detect the presence of vanA, vanB, and vanC. Overlapping PCR with sequencing and whole -genome sequencing were performed for structural analysis. Sequence types (STs) were determined by multilocus sequence typing. Exposure testing was performed to assess the ability of the isolates to acquire vancomycin resistance. Among 282 VSE isolates tested, 20 isolates (7.1%) were VVE. Among them, 17 isolates had partial deletions in the IS1216 or IS1542 sequences in vanS (N = 10), vanR (N = 5), or vanH (N = 2). All VVE isolates belonged to the CC17 complex and comprised five STs, namely ST17 (40.0%), ST1421 (25.0%), ST80 (25.0%), ST787 (5.0%), and ST981 (5.0%). Most isolates were related to three hospital-associated clones (ST17, ST1421, and ST80). After vancomycin exposure, 18 of the 20 VVEs acquired vancomycin resistance. Considering the high reversion rate, detecting VVE by screening VSE for vanA is critical for appropriate treatment and infection control.