• The Korean Journal of Health Service Management
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• v.9 no.2
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• pp.89-102
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• 2015

Patients unable to speak are at higher risk for untreated pain. Use of valid behavioral and physiologic measures for pain is highly recommended for uncommunicative patients. This study was performed to compare the reliability and validity of NVPS-K and CPOT-K for pain assessment of nonverbal patients. This study was conducted from July to November 2011. A total of 29 nonverbal adult patients admitted to a university hospital intensive care unit participated in this study. Interrater reliability of the NVPS-K and CPOT-K had intermediate to high intraclass correlation coefficients (NVPS-K 0.680 ~ 0.921, CPOT-K 0.710 ~ 0.896). Discriminant validity was supported with higher instrument scores during turning and endotracheal suctioning than that of NIBP. For criterion validity, the NVPS-K scores were correlated to the self-reported pain of the patients but not the CPOT-K scores. The areas under the ROC curve for the NVPS-K and CPOT-K were 0.748 and 0.696 with cutoff points of 1 and 2, respectively. Thus, the NVPS-K and CPOT-K had a sensitivity and specificity of 94.7% and 45.0%, and 60.5% and 75.0%, respectively. The NVPS-K and CPOT-K are reliable and valid tools to assess pain in nonverbal patient and thus, are recommended for the assessment of the pain in nonverbal patients.

• Safety and Health at Work
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• v.11 no.3
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• pp.301-306
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• 2020

Background: The Functional Movement Screen (FMS^TM) is a screening tool used to assess an individual's ability to perform fundamental movements that are necessary to do physically active tasks. The purpose of this study was to assess the ability of FMS to predict occupational injury among Denver Fire Department firefighters. Method: FMS tests were administered from 2012 to 2016. Claim status was defined as any claim occurrence vs. no claim and an overexertion vs. no claim/other claim within 1 year of the FMS. To assess associations between FMS score and claim status, FMS scores were dichotomized into ≤ 14 and > 14. Age-adjusted odds ratios were calculated using logistic regression. Sensitivities and specificities of FMS predicting claims at various FMS score cut points, ranging from 10 to 20 were tested. Results: Of 581 firefighters (mean ± SD, age 38 ± 9.8 y) who completed FMS between February 2015 and March 2018, 188 (32.4%) filed a WC claim in the study time frame. Seventy-two of those (38.3%) were categorized as overexertion claims. There was no association between FMS score and claim status [odds ratio (OR) = 1.27, 95% confidence interval (CI): 0.88 - 1.83] and overexertion claim vs. no claim/other claim (OR = 1.33, 95% CI: 0.81 - 2.21). There was no optimal cutoff for FMS in predicting a WC claim. Conclusions: Although the FMS has been predictive of injuries in other populations, among this sample of firefighters, it was not predictive of a future WC claim.

• Research in Community and Public Health Nursing
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• v.23 no.1
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• pp.13-21
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• 2012

Purpose: The purpose of this study was to estimate the effects of lifestyle factors on metabolic syndrome (MS) among Korean adults ($age{\geq}20$). Methods: A total of 7,798 subjects (weighted subjects=37,215,961) were recruited from the 2009 Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV-3). Data were analyzed by t-test, ${\chi}^2$-test, and logistic regression in consideration of strata, cluster and weight as national data using the SAS 9.1 program. Results: The prevalence of MS by definition of AHA/NHLBI and waist circumference cutoff points for Koreans was 22.4%. The mean clinical MS score for MS patients was 3.4, but the mean score for the non-MS group was 1.2 out of 5.0. Among the lifestyle factors, smoking (OR=1.024), stress ($0.546{\leq}OR{\leq}0.587$) and drinking (OR=1.005) had significant influence on the MS risk and MS scores, but exercise did not. Conclusion: The results of this study indicate that further research is necessary on the effect of lifestyle factors on MS risk and nurses should focus on effective programs about smoking, stress and drinking for the prevention and reduction of MS risk.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.3
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• pp.1445-1448
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• 2016

Purpose: The current study aimed at assessing the association between neutrophil-lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) for the prognosis of the surgical outcome of epithelial ovarian cancer (EOC). Materials and Methods: EOC patient medical records of surgical operations between January, 2005 and December, 2015 were reviewed and their data of clinicopathological complete blood counts (CBCs) and surgical outcomes were collected. To assess their effects on surgical outcomes, PLR and NLR optimal predictive values were determined and then compared with each other. Results: A statistically significant relation was found between surgical outcomes and NLR and PLR (p<0.001 and p<0.001), for which new cutoff points were gained (PLR: 192,3,293; NLR: 3). The sensitivity and specificity were 0.74 and 0.67, respectively for PLR and 0.74 and 0.58, for NLR. Conclusions: NLR and PLR seem to be useful methods for the prediction of surgical outcomes in patients with EOCs. Increased NLR and PLR proved to be beneficial for poor surgical outcomes. Moreover, PLR increase showed further help in the predicting outcome of EOC suboptimal debulking.

• Korean Journal of Adult Nursing
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• v.25 no.1
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• pp.24-32
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• 2013

Purpose: The aim of the study was to identify the most appropriate fall-risk assessment tool for neurological patients in an acute care setting. Methods: This descriptive study compared the reliability and validity of three fall-risk assessment tools (Morse Fall Scale, MFS; St Thomas's Risk Assessment Tool in Falling Elderly Inpatients, STRATIFY; Hendrich II Fall Risk Model, HFRM II). We assessed patients who were admitted to the Department of Neurology, Neurosurgery, and Rehabilitation at Asan Medical Center between July 1 and October 31, 2011, using a constructive questionnaire including general and clinical characteristics, and each item from the three tools. We analyzed inter-rater reliability with the kappa value, and the sensitivity, specificity, predictive value, and the area under the curve (AUC) of the three tools. Results: The analysis included 1,026 patients, and 32 falls occurred during this study. Inter-rater reliability was above 80% in all three tools. and the sensitivity was 50.0% (MFS), 84.4%(STRATIFY), and 59.4%(HFRM II). The AUC of the STRATIFY was 82.8. However, when the cutoff point was regulated as not 50 but 40 points, the AUC of the MFS was higher at 83.7. Conclusion: These results suggest that the STRATIFY may be the best tool for predicting falls for acute neurological patients.

• Korean Journal of Biological Psychiatry
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• v.18 no.4
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• pp.210-216
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• 2011

Subsyndromal depression (SSD) is found to be more prevalent than major depressive disorder (MDD) and minor depressive disorder (MnDD). SSD is also associated with adverse clinical outcomes, increased risk of suicide, increased social dysfunction and disability, increased risk for future mood disorders, and increased uses of medical and mental health services. DSM-IV diagnostic criteria are not suitable for capturing SSD. Although there is no agreement on gold standard to define SSD so far, three definitions of SSD are available. First, SSD is defined as having two or more current depressive symptoms without core depressive symptoms (depressive mood or loss of interest) and with time threshold (most of the day and nearly every day over at least two weeks). Second, SSD is defined as having two or more current depressive symptoms with core depressive symptoms and without time threshold. Third, SSD is defined by using cutoff points of depression rating scales. SSD may represent a prodromal, residual, or interepisode symptomatic state in the course of MDD and MnDD. More than a half of SSD patients became any type of depressive disorders (SSD, MnDD and MDD) at 1 year. SSD may represent a discrete category of its own, without prior or consequent episodes of MDD. Considering clinical significance of SSD such as its high prevalence, significant psychosocial impairment and chronicity and serious outcomes, researchers and clinicians should be more vigilant in capturing and caring for patients with SSD.

• Clinical and Experimental Pediatrics
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• v.63 no.2
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• pp.34-43
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• 2020

Phenylketonuria is a disease caused by congenital defects in phenylalanine metabolism that leads to irreversible nerve cell damage. However, its detection in the early days of life can reduce its severity. Thus, many countries have started disease screening programs for neonates. The present study aimed to determine the worldwide prevalence of classic phenylketonuria using the data of neonatal screening studies.The PubMed, Web of Sciences, Sciences Direct, ProQuest, and Scopus databases were searched for related articles. Article quality was evaluated using the Joanna Briggs Institute Critical Appraisal Evaluation Checklist. A random effect was used to calculate the pooled prevalence, and a phenylketonuria prevalence per 100,000 neonates was reported. A total of 53 studies with 119,152,905 participants conducted in 1964-2017 were included in this systematic review. The highest prevalence (38.13) was reported in Turkey, while the lowest (0.3) in Thailand. A total of 46 studies were entered into the meta-analysis for pooled prevalence estimation. The overall worldwide prevalence of the disease is 6.002 per 100,000 neonates (95% confidence interval, 5.07-6.93). The meta-regression test showed high heterogeneity in the worldwide disease prevalence (I²=99%). Heterogeneity in the worldwide prevalence of phenylketonuria is high, possibly due to differences in factors affecting the disease, such as consanguineous marriages and genetic reserves in different countries, study performance, diagnostic tests, cutoff points, and sample size.

• The Korean Journal of Applied Statistics
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• v.22 no.3
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• pp.531-539
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• 2009

Logistic regression is widely used as a datamining technique for the customer relationship management. The maximum likelihood estimator has highly inflated variance when multicollinearity exists among the regressors, and it is not robust against outliers. Thus we propose the robust principal components logistic regression to deal with both multicollinearity and outlier problem. A procedure is suggested for the selection of principal components, which is based on the condition index. When a condition index is larger than the cutoff value obtained from the model constructed on the basis of the conjoint analysis, the corresponding principal component is removed from the logistic model. In addition, we employ an algorithm for the robust estimation, which strives to dampen the effect of outliers by applying the appropriate weights and factors to the leverage points and vertical outliers identified by the V-mask type criterion. The Monte Carlo simulation results indicate that the proposed procedure yields higher rate of correct classification than the existing method.

• Clinical and Experimental Pediatrics
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• v.59 no.4
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• pp.178-182
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• 2016

Purpose: Medium-dose (1 g/kg) intravenous immunoglobulin (IVIG) is effective in the majority of patients with Kawasaki disease (KD) but some patients who do not respond to medium-dose IVIG are at high risk for the development of coronary artery lesions (CALs). The purpose of this study was to identify the clinical predictors associated with unresponsiveness to medium-dose IVIG and the development of CALs. Methods: A retrospective study was performed in 91 children with KD who were treated with mediumdose IVIG at our institution from January 2004 to December 2013. We classified the patients into responders (group 1; n=68) and nonresponders (group 2; n=23). We compared demographic, laboratory, and echocardiographic data between the 2 groups. Results: Multivariate logistic regression analysis identified 6 variables as predictors for resistance to medium-dose IVIG. We generated a predictive scoring system assigning 1 point each for percentage of neutrophils ${\geq}65%$, C-reactive protein ${\geq}100mg/L$, aspartate aminotransferase ${\geq}100IU/L$, and alanine aminotransferase ${\geq}100IU/L$, as well as 2 points for less than 5 days of illness, and serum sodium level ${\leq}136mmol/L$. Using a cutoff point of ${\geq}4$ with this scoring system, we could predict nonresponsiveness to medium-dose IVIG with 74% sensitivity and 71% specificity. Conclusion: If a patient has a low-risk score in this system, medium-dose IVIG can be recommended as the initial treatment. Through this process, we can minimize the adverse effects of high-dose IVIG and incidence of CALs.

• Journal of Korean Clinical Nursing Research
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• v.26 no.2
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• pp.265-273
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• 2020

Purpose: The purpose of this study was to test the predictive validity of the Fall Assessment Scale-Korean version (FAS-K) and to find the most appropriate cutoff score to screen high-risk fall groups in adult patients in general hospitals in Korea. Methods: We performed a prospective evaluation study in medical and surgical ward patients at two major general hospitals in Seoul. Data were collected from Nov. 1, 2018 to Feb. 28, 2019, nurses performed 651 observation series. The researcher measured the fall risk assessment score by applying FAS-K, MFS (Morse Fall Scale), and JHFRAT (Johns Hopkins Hospital Fall Risk Assessment tool) to the patients twice a week between 10 am and 12 noon. Data were analyzed using Pearson's corelation coefficients, and the sensitivity, specificity, predictive value, and the area under the curve (AUC) of the three tools. Results: The FAS-K was positively correlated with the MFS (r=.70, p<.001) and the JHFRAT (r=.82, p<.001). According to the receiver operating characteristics (ROC) curve analysis of the FAS-K, sensitivity, specificity, and positive and negative prediction values were 85.3%, 49.4%, 8.5%, and 98.4%, respectively, when the FAS-K score was 4. Therefore, the cut-off score of the FAS-K to identify groups with high fall risk was 4. Conclusion: The FAS-K is a valid tool for measuring fall risk in adult inpatients. In addition, the FAS-K score, 4, can be used to identify high-risk fall groups and know specific points in time to provide active interventions to prevent falls.