• Title/Summary/Keyword: risk scoring

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Serologic Biomarkers for Hepatic Fibrosis in Obese Children with Nonalcoholic Steatohepatitis

  • Jung Yeon Joo;In Hyuk Yoo;Hye Ran Yang
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.27 no.4
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    • pp.236-245
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    • 2024
  • Purpose: The prevalence of nonalcoholic steatohepatitis (NASH) is increasing with the increasing prevalence of childhood obesity. Although NASH has a high risk of progression to liver fibrosis and cirrhosis, few studies have reported noninvasive markers for predicting hepatic fibrosis in children. This study aimed to evaluate and compare the diagnostic accuracies of serologic biomarkers and scoring systems for hepatic fibrosis in obese children with NASH. Methods: A total of 96 children were diagnosed with NASH based on liver biopsy findings and divided into two groups according to the degree of liver fibrosis: mild (stage 0-1) or advanced (stage 2-4). Clinical and laboratory parameters and serum levels of hyaluronic acid and type IV collagen were measured. The aspartate aminotransferase/platelet ratio index (APRI) and fibrosis-4 (FIB-4) score were calculated. Results: Among the noninvasive markers, only serum type IV collagen level and FIB-4 were significantly different between the two groups. The area under the receiver operating curve of each biomarker and scoring system was 0.80 (95% confidence interval [CI]: 0.70-0.90) for type IV collagen at an optimal cutoff of 148 ng/mL (sensitivity 69.8%, specificity 84.6%), followed by 0.69 (95% CI: 0.57-0.83) for APRI, 0.68 (95% CI: 0.56-0.80) for FIB-4, and 0.65 (95% CI: 0.53-0.77) for hyaluronic acid. Conclusion: Type IV collagen as a single noninvasive serologic biomarker for hepatic fibrosis and FIB-4 as a hepatic fibrosis score are beneficial in predicting advanced hepatic fibrosis and determining proper diagnosis and treatment strategies before fibrosis progresses in obese children with NASH.

Evaluation of Biochemical Recurrence-free Survival after Radical Prostatectomy by Cancer of the Prostate Risk Assessment Post-Surgical (CAPRA-S) Score

  • Aktas, Binhan Kagan;Ozden, Cuneyt;Bulut, Suleyman;Tagci, Suleyman;Erbay, Guven;Gokkaya, Cevdet Serkan;Baykam, Mehmet Murat;Memis, Ali
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.6
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    • pp.2527-2530
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    • 2015
  • Background: The cancer of the prostate risk assessment (CAPRA) score has been defined to predict prostate cancer recurrence based on the pre-clinical data, then pathological data have also been incorporated. Thus, CAPRA post-surgical (CAPRA-S) score has been developed based on six criteria (prostate specific antigen (PSA) at diagnosis, pathological Gleason score, and information on surgical margin, seminal vesicle invasion, extracapsular extension and lymph node involvement) for the prediction of post-surgical recurrences. In the present study, biochemical recurrence (BCR)-free probabilities after open retropubic radical prostatectomy (RP) were evaluated by the CAPRA-S scoring system and its three-risk level model. Materials and Methods: CAPRA-S scores (0-12) of our 240 radical prostatectomies performed between January 2000-May 2011 were calculated. Patients were distributed into CAPRA-S score groups and also into three-risk groups as low, intermediate and high. BCR-free probabilities were assessed and compared using Kaplan-Meier analysis and Cox proportional hazards regression. Ability of CAPRA-S in BCR detection was evaluated by concordance index (c-index). Results: BCR was present in 41 of total 240 patients (17.1%) and the mean follow-up time was $51.7{\pm}33.0$ months. Mean BCR-free survival time was 98.3 months (95% CI: 92.3-104.2). Of the patients in low, intermediate and high risk groups, 5.4%, 22.0% and 58.8% had BCR, respectively and the difference among the three groups was significant (P = 0.0001). C-indices of CAPRA-S score and three-risk groups for detecting BCR-free probabilities in 5-yr were 0.87 and 0.81, respectively. Conclusions: Both CAPRA-S score and its three-risk level model well predicted BCR after RP with high c-index levels in our center. Therefore, it is a clinically reliable post-operative risk stratifier and disease recurrence predictor for prostate cancer.

Predicting Recurrence-Free Survival After Upfront Surgery in Resectable Pancreatic Ductal Adenocarcinoma: A Preoperative Risk Score Based on CA 19-9, CT, and 18F-FDG PET/CT

  • Boryeong Jeong;Minyoung Oh;Seung Soo Lee;Nayoung Kim;Jae Seung Kim;Woohyung Lee;Song Cheol Kim;Hyoung Jung Kim;Jin Hee Kim;Jae Ho Byun
    • Korean Journal of Radiology
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    • v.25 no.7
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    • pp.644-655
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    • 2024
  • Objective: To develop and validate a preoperative risk score incorporating carbohydrate antigen (CA) 19-9, CT, and fluorine18-fluorodeoxyglucose (18F-FDG) PET/CT variables to predict recurrence-free survival (RFS) after upfront surgery in patients with resectable pancreatic ductal adenocarcinoma (PDAC). Materials and Methods: Patients with resectable PDAC who underwent upfront surgery between 2014 and 2017 (development set) or between 2018 and 2019 (test set) were retrospectively evaluated. In the development set, a risk-scoring system was developed using the multivariable Cox proportional hazards model, including variables associated with RFS. In the test set, the performance of the risk score was evaluated using the Harrell C-index and compared with that of the postoperative pathological tumor stage. Results: A total of 529 patients, including 335 (198 male; mean age ± standard deviation, 64 ± 9 years) and 194 (103 male; mean age, 66 ± 9 years) patients in the development and test sets, respectively, were evaluated. The risk score included five variables predicting RFS: tumor size (hazard ratio [HR], 1.29 per 1 cm increment; P < 0.001), maximal standardized uptake values of tumor ≥ 5.2 (HR, 1.29; P = 0.06), suspicious regional lymph nodes (HR, 1.43; P = 0.02), possible distant metastasis on 18F-FDG PET/CT (HR, 2.32; P = 0.03), and CA 19-9 (HR, 1.02 per 100 U/mL increment; P = 0.002). In the test set, the risk score showed good performance in predicting RFS (C-index, 0.61), similar to that of the pathologic tumor stage (C-index, 0.64; P = 0.17). Conclusion: The proposed risk score based on preoperative CA 19-9, CT, and 18F-FDG PET/CT variables may have clinical utility in selecting high-risk patients with resectable PDAC.

Prediction of Intravenous Immunoglobulin Nonresponse Kawasaki Disease in Korea (한국인에서 면역글로불린-저항성 가와사키병 환자의 예측)

  • Choi, Myung Hyun;Park, Chung Soo;Kim, Dong Soo;Kim, Ki Hwan
    • Pediatric Infection and Vaccine
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    • v.21 no.1
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    • pp.29-36
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    • 2014
  • Purpose: The objective of this study was to find the predictors and generate a prediction scoring model of nonresponse to intravenous immunoglobulin in patients with Kawasaki disease. Methods: We examined 573 children diagnosed with KD at the Severance Children's Hospital between January 2009 and december 2012. We retrospectively reviewed their medical records. These patients were divided into 2 groups; the experimental group (N=433) and the validation group (N=140). Each group were divided into 2 groups the intravenous immunoglobulin nonresponders and the responders. Multivariate logistic regression analysis identified predictive factors of intravenous immunoglobulin nonresponders which make predictive scoring model. We practice internal validation and external validation. Results: Multivariate logistic regression analysis identified male, cervical lymphadenopathy, changes of the extremities, platelet, total bilirubin, alkaline phophatase, lactate dehydrogenase, C-reactive protein as significant predictors for nonresponse to intravenous immunoglobulin. We generated prediction score assigning 1 point for (1) male, (2) cervical lymphadenopathy, (3) changes of the extremities, (4) platelet (${\leq}368,000/mm^3$), (5) total bilirubin (${\geq}0.4mg/dL$), (6) alkaline phophatase (${\geq}227IU/L$), (7) lactate dehydrogenase (${\geq}268IU/L$), (8) C-reactive protein (>77.1 mg/dL). Using a cut-off point of 4 and more with this prediction score, we could identify the intravenous immunoglobulin nonresponder group. Sensitivity and specificity were 52.5% and 82.4% in experimental group and 37.8% and 81.8% in validation group, respectively. Conclusion: Our predictive scoring models had high specificity and low sensitivity in Korean patients. Therefore it is useful in predicting nonresponse to intravenous immunoglobulin with Kawasaki disease.

Comparative Evaluation of the Risk of Malignancy Index Scoring Systems (1-4) Used in Differential Diagnosis of Adnexal Masses

  • Ozbay, Pelin Ozun;Ekinci, Tekin;Caltekin, Melike Demir;Yilmaz, Hasan Taylan;Temur, Muzaffer;Yilmaz, Ozgur;Uysal, Selda;Demirel, Emine;Kelekci, Sefa
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.1
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    • pp.345-349
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    • 2015
  • Background: To determine the cut-off values of the preoperative risk of malignancy index (RMI) used in differentiating benign or malignant adnexal masses and to determine their significance in differential diagnosis by comparison of different systems. Materials and Methods: 191 operated women were assessed retrospectively. RMI of 1, 2, 3 and 4; cut-off values for an effective benign or malignant differentiation together with sensitivity, specificity, negative and positive predictive values were calculated. Results: Cut-off value for RMI 1 was found to be 250; there was significant (p<0.001) compatibility at this level with sensitivity of 60%, positive predictive value (PPV) of 75%, specificity of 93%, negative predictive value (NPV) of 88% and an overall compliance rate of 85%. When RMI 2 and 3 was obtained with a cut-off value of 200, there was significant (p<0.001) compatibility at this level for RMI 2 with sensitivity of 67%, PPV of 67%, specificity of 89%, NPV of 89%, histopathologic correlation of 84% while RMI 3 had significant (p<0.001) compatibility at the same level with sensitivity of 63%, PPV of 69%, specificity of 91%, NPV of 88% and a histopathologic correlation of 84%. Significant (p<0.001) compatibility for RMI 4 with a sensitivity of 67%, PPV of 73%, specificity of 92%, NPV of 89% and a histopathologic correlation of 86% was obtained at the cut-off level 400. Conclusions: RMI have a significant predictability in differentiating benign and malignant adnexal masses, thus can effectively be used in clinical practice.

Poor Prognostic Implication of ASXL1 Mutations in Korean Patients With Chronic Myelomonocytic Leukemia

  • Kim, Hyun-Young;Lee, Ki-O;Park, Silvia;Jang, Jun Ho;Jung, Chul Won;Kim, Sun-Hee;Kim, Hee-Jin
    • Annals of Laboratory Medicine
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    • v.38 no.6
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    • pp.495-502
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    • 2018
  • Background: Molecular genetic abnormalities are observed in over 90% of chronic myelomonocytic leukemia (CMML) cases. Recently, several studies have demonstrated the negative prognostic impact of ASXL1 mutations in CMML patients. We evaluated the prognostic impact of ASXL1 mutations and compared five CMML prognostic models in Korean patients with CMML. Methods: We analyzed data from 36 of 57 patients diagnosed as having CMML from January 2000 to March 2016. ASXL1 mutation analysis was performed by direct sequencing, and the clinical and laboratory features of patients were compared according to ASXL1 mutation status. Results: ASXL1 mutations were detected in 18 patients (50%). There were no significant differences between the clinical and laboratory characteristics of ASXL1-mutated ($ASXL1^+$) CMML and ASXL1-nonmutated ($ASXL1^-$) CMML patients (all P >0.05). During the median follow-up of 14 months (range, 0-111 months), the overall survival (OS) of $ASXL1^+$ CMML patients was significantly inferior to that of $ASXL1^-$ CMML patients with a median survival of 11 months and 19 months, respectively (log-rank P =0.049). An evaluation of OS according to the prognostic models demonstrated inferior survival in patients with a higher risk category according to the Mayo molecular model (log-rank P =0.001); the other scoring systems did not demonstrate a significant association with survival. Conclusions: We demonstrated that ASXL1 mutations, occurring in half of the Korean CMML patients examined, were associated with inferior survival. ASXL1 mutation status needs to be determined for risk stratification in CMML.

Prognostic Value of Coronary CT Angiography for Predicting Poor Cardiac Outcome in Stroke Patients without Known Cardiac Disease or Chest Pain: The Assessment of Coronary Artery Disease in Stroke Patients Study

  • Sung Hyun Yoon;Eunhee Kim;Yongho Jeon;Sang Yoon Yi;Hee-Joon Bae;Ik-Kyung Jang;Joo Myung Lee;Seung Min Yoo;Charles S. White;Eun Ju Chun
    • Korean Journal of Radiology
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    • v.21 no.9
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    • pp.1055-1064
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    • 2020
  • Objective: To assess the incremental prognostic value of coronary computed tomography angiography (CCTA) in comparison to a clinical risk model (Framingham risk score, FRS) and coronary artery calcium score (CACS) for future cardiac events in ischemic stroke patients without chest pain. Materials and Methods: This retrospective study included 1418 patients with acute stroke who had no previous cardiac disease and underwent CCTA, including CACS. Stenosis degree and plaque types (high-risk, non-calcified, mixed, or calcified plaques) were assessed as CCTA variables. High-risk plaque was defined when at least two of the following characteristics were observed: low-density plaque, positive remodeling, spotty calcification, or napkin-ring sign. We compared the incremental prognostic value of CCTA for major adverse cardiovascular events (MACE) over CACS and FRS. Results: The prevalence of any plaque and obstructive coronary artery disease (CAD) (stenosis ≥ 50%) were 70.7% and 30.2%, respectively. During the median follow-up period of 48 months, 108 patients (7.6%) experienced MACE. Increasing FRS, CACS, and stenosis degree were positively associated with MACE (all p < 0.05). Patients with high-risk plaque type showed the highest incidence of MACE, followed by non-calcified, mixed, and calcified plaque, respectively (log-rank p < 0.001). Among the prediction models for MACE, adding stenosis degree to FRS showed better discrimination and risk reclassification compared to FRS or the FRS + CACS model (all p < 0.05). Furthermore, incorporating plaque type in the prediction model significantly improved reclassification (integrated discrimination improvement, 0.08; p = 0.023) and showed the highest discrimination index (C-statistics, 0.85). However, the addition of CACS on CCTA with FRS did not add to the prediction ability for MACE (p > 0.05). Conclusion: Assessment of stenosis degree and plaque type using CCTA provided additional prognostic value over CACS and FRS to risk stratify stroke patients without prior history of CAD better.

Clinicopathologic Characteristics of Incidentally Discovered Thyroid Carcinomas (갑상선 우연암종의 임상병리적 특성)

  • Chung Woung-Youn;Cheong Jae-Ho;Chang Hang-Seok;Park Cheong-Soo
    • Korean Journal of Head & Neck Oncology
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    • v.16 no.1
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    • pp.64-68
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    • 2000
  • Objectives: With the recent advances and increasing use of imaging techniques in examination of the neck, the incidence of incidentally discovered thyroid carcinoma has been increasing. This study was carried out to evaluate the clinicopathologic characteristics of incidental thyroid carcinomas and to find optimal therapeutic strategies for these lesions. Materials & Methods: From Jan. 1988 to Aug. 1998, 1,053 patients were operated on for thyroid cancer, of whom 127(12.1%) had incidentally discovered thyroid cancers which were identified during routine health checkups(n=40), diagnostic procedures for unrelated medical conditions(n=39) and mass screening for thyroid cancer(n=48). The preoperative diagnosis was obtained by ultrasound-guided FNAB and the extent of surgery was determined based on frozen section examinations, as well as prognostic factors and gross findings at the time of surgery. Results: There were 6 men and 121 women with a mean age of 45.9 years. Histopathological diagnosis included papillary carcinomas(n=1l9), follicular carcinomas(n=6), poorly differentiated carcinoma(n=l) and medullary carcinoma(n=1). Thirty patients(23.6%) had multifocallesions. The mean diameter of the tumors was 1.1 cm(0.2-3.4 cm). Capsular invasions were found in 53 patients(41.7%) and nodal metastases in 41(32.3%). The surgical procedures used were: 90 less-than total thyroidectomies and 37 total thyroidectomies with central neck node dissection. Lateral neck dissection was added in 5 patients. According to TNM staging, 79 patients(63.2%) were at stage I, 15(12.0%) at stage II, 31(24.8%) at stage III and 0(0.0%) at stage IV. By AMES scoring system, 102 patients(81.6%) were in the low-risk group and 23(18.4%) in the high-risk group. And by MACIS scoring system, 103(86.6%) of 119 papillary thyroid cancer patients were less than 6. Conclusions: The clinicopathological characteristics of incidentally discovered thyroid carcinomas are similar to ordinary thyroid carcinomas. The treatment of choice should be individualized based on the particular clinical situation encountered, as in ordinary thyroid carcinomas.

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Clinical Study on Unexpected Death in Stroke Patients (한방 병원에서 발생한 중풍으로 인한 예상치 못한 사망에 관한 고찰)

  • Seo, Dong-Min;Woo, Hyun-Su;Lee, Hyun-Jong;Kim, Jong-Deog;Hong, Jang-Mu;Kang, Mi-Kyeong;Seo, Byung-Kwan;Kim, Dong-Hon;Cho, Young;Lee, Sang-Hoon;Kim, Chang-Hwan
    • The Journal of Korean Medicine
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    • v.24 no.3
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    • pp.165-171
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    • 2003
  • Objective : Stroke is the second major cause of death in Korea. It is known that the survival and ultimate outcome in stroke depend on various factors, so it is not easy to predict unexpected death in stroke. This study was performed in order to find predicting factors of unexpected death in stroke. Methods : A retrospective study was accomplished by reviewing 21 medical records of stroke patients who expired in the ward of Kyung Hee Oriental Medical Center from January 1998 to December 2001. Data analyzed Were physical examination, laboratory findings, clinical charts and APACH III scoring system. Results : I. The number of unexpected deaths at the ward of Kyung Hee Oriental Medical Center from January in 1998 to December in 2001 were 21 patients (0.1%). 2. Major risk factors of unexpected death were age (${\geq}60$), high blood pressure on 1st admission day and acute stage (${\leq}30{\;}days$). 3. The most frequent time of unexpected death was from 6 a.m. to noon. 4. Major cause of unexpected death was recurrence of stroke (40%). 5. APACH III scores of 75% of unexpected death patients were over 30 points. 6. Clinical change of symptoms 3 or 4 days before the unexpected death were dyspnea, change of urination and defecation. Conclusion; This mortality study suggests that old age, high blood pressure on 1st admission day, acute stage, and high APACH III score are the major predictors of unexpected death in stroke patients and that intensive medical attention is necessary to reach a better outcome.

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Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts

  • June-Goo Lee;HeeSoo Kim;Heejun Kang;Hyun Jung Koo;Joon-Won Kang;Young-Hak Kim;Dong Hyun Yang
    • Korean Journal of Radiology
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    • v.22 no.11
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    • pp.1764-1776
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    • 2021
  • Objective: This study aimed to validate a deep learning-based fully automatic calcium scoring (coronary artery calcium [CAC]_auto) system using previously published cardiac computed tomography (CT) cohort data with the manually segmented coronary calcium scoring (CAC_hand) system as the reference standard. Materials and Methods: We developed the CAC_auto system using 100 co-registered, non-enhanced and contrast-enhanced CT scans. For the validation of the CAC_auto system, three previously published CT cohorts (n = 2985) were chosen to represent different clinical scenarios (i.e., 2647 asymptomatic, 220 symptomatic, 118 valve disease) and four CT models. The performance of the CAC_auto system in detecting coronary calcium was determined. The reliability of the system in measuring the Agatston score as compared with CAC_hand was also evaluated per vessel and per patient using intraclass correlation coefficients (ICCs) and Bland-Altman analysis. The agreement between CAC_auto and CAC_hand based on the cardiovascular risk stratification categories (Agatston score: 0, 1-10, 11-100, 101-400, > 400) was evaluated. Results: In 2985 patients, 6218 coronary calcium lesions were identified using CAC_hand. The per-lesion sensitivity and false-positive rate of the CAC_auto system in detecting coronary calcium were 93.3% (5800 of 6218) and 0.11 false-positive lesions per patient, respectively. The CAC_auto system, in measuring the Agatston score, yielded ICCs of 0.99 for all the vessels (left main 0.91, left anterior descending 0.99, left circumflex 0.96, right coronary 0.99). The limits of agreement between CAC_auto and CAC_hand were 1.6 ± 52.2. The linearly weighted kappa value for the Agatston score categorization was 0.94. The main causes of false-positive results were image noise (29.1%, 97/333 lesions), aortic wall calcification (25.5%, 85/333 lesions), and pericardial calcification (24.3%, 81/333 lesions). Conclusion: The atlas-based CAC_auto empowered by deep learning provided accurate calcium score measurement as compared with manual method and risk category classification, which could potentially streamline CAC imaging workflows.