Transcriptome Analysis of lncRNAs in Pheochromocytomas and Paragangliomas

2019 ◽  
Vol 105 (3) ◽  
pp. 898-907 ◽  
Author(s):  
Sylvie Job ◽  
Adrien Georges ◽  
Nelly Burnichon ◽  
Alexandre Buffet ◽  
Laurence Amar ◽  
...  
Keyword(s):  
Predictive Accuracy ◽  
Area Under The Curve ◽  
Rank Test ◽  
Benign Tumors ◽  
Strongly Correlated ◽  
Metastatic Progression ◽  
Roc Curve Analysis ◽  
Chi Square ◽  
Consensus Analysis ◽  
Design And Methods

Abstract Context Pheochromocytomas and paragangliomas (PPGLs) are neuroendocrine tumors explained by germline or somatic mutations in about 70% of cases. Patients with SDHB mutations are at high risk of developing metastatic disease, yet no reliable tumor biomarkers are available to predict tumor aggressiveness. Objective We aimed at identifying long noncoding RNAs (lncRNAs) specific for PPGL molecular groups and metastatic progression. Design and Methods To analyze the expression of lncRNAs, we used a mining approach of transcriptome data from a well-characterized series of 187 tumor tissues. Clustering consensus analysis was performed to determine a lncRNA-based classification, and informative transcripts were validated in an independent series of 51 PPGLs. The expression of metastasis-related lncRNAs was confirmed by RT-qPCR. Receiver operating characteristic (ROC) curve analysis was used to estimate the predictive accuracy of potential markers. Main Outcome Measure Univariate/multivariate and metastasis-free survival (MFS) analyses were carried out for the assessment of risk factors and clinical outcomes. Results Four lncRNA-based subtypes strongly correlated with mRNA expression clusters (chi-square P-values from 1.38 × 10–32 to 1.07 × 10–67). We identified one putative lncRNA (GenBank: BC063866) that accurately discriminates metastatic from benign tumors in patients with SDHx mutations (area under the curve 0.95; P = 4.59 × 10–05). Moreover, this transcript appeared as an independent risk factor associated with poor clinical outcome of SDHx carriers (log-rank test P = 2.29 × 10–05). Conclusion Our findings extend the spectrum of transcriptional dysregulations in PPGL to lncRNAs and provide a novel biomarker that could be useful to identify potentially metastatic tumors in patients carrying SDHx mutations.

Abstract 9056: The Association Between Thoracic Injuries Due to Chest Compression and Short-Term Prognosis in Patients With Non-traumatic Out-of-Hospital Cardiac Arrest

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Aya Katasako ◽  
Shoji Kawakami ◽  
Hidenobu Koga ◽  
Kenichi Kitahara ◽  
Keiichiro Komiya ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Chest Compression ◽  
Survival Rates ◽  
Area Under The Curve ◽  
Spontaneous Circulation ◽  
Rank Test ◽  
Thoracic Injuries ◽  
Short Term ◽  
Roc Curve Analysis ◽  
Hospital Cardiac Arrest

Background: The current guidelines emphasize that high-quality chest compression is essential for improving the survival in out-of-hospital cardiac arrest (OHCA) patients. However, it may lead to thoracic injuries which is a potential factor of poor prognosis. Method: Between June 2017 to July 2019, we collected Utstein-style data on 384 consecutive adult patients with non-traumatic OHCA who were transferred to our hospital. Full-body CT scan was performed and thoracic injuries were defined as rib fracture, sternum fracture, hemorrhagic pleural effusion, pneumothorax, sternum posterior bleeding, mediastinal hematoma, or mediastinal emphysema. We identified the predictors for thoracic injuries and evaluated the relationship between thoracic injuries and prognosis. Results: Patients with thoracic injuries (Group-T) were 234 (76%). The duration of chest compression in Group-T was 43 min, which was significantly longer than that in patients without thoracic injuries (Group-N, 32 min, p<0.001). ROC curve analysis identified a duration of chest compression of 35 minutes as the optimal cut off for predicting thoracic injuries (area under the curve 0.73). Multivariate analysis revealed that age (OR: 1.03, 95%CI: 1.01-1.05, p=0.005) and duration of chest compression (OR: 1.07, 95%CI: 1.04-1.09, p<0.001) were independent predictors of thoracic injuries. The rate of obtaining return of spontaneous circulation (ROSC), 30-day survival and favorable neurologic outcome were larger in Group-N than Group-T. In patients with achieving ROSC, Kaplan-Meier curves showed a significantly higher cumulative survival rates in Group-N compared to that in Group-T during follow-up of 30 days (Log-rank test p=0.009). Conclusion: Age and duration of chest compression were independent predictors for thoracic injuries due to chest compression in non-traumatic OHCA patients. Moreover, the presence of thoracic injuries was associated with poor short-term prognosis.

Utility of transport risk index of physiological stability score for predicting likely outcome of extramural neonates transferred to NICU

2020 ◽  
Vol 7 (5) ◽  
pp. 1081
Author(s):  
Deepali M. Shah ◽  
Bhuvaneswari M. ◽  
Ramaprasad G. S.
Keyword(s):  
Neonatal Mortality ◽  
Risk Index ◽  
Tertiary Care ◽  
Area Under The Curve ◽  
Roc Curve Analysis ◽  
Chi Square ◽  
Cross Sectional ◽  
Exact Test ◽  
Early Neonatal Mortality ◽  
Significant Difference

Background: To accomplish ‘Mission Twenty - Twenty’ and to achieve ‘Sustainable Development Goal 3’, now we need to focus our attention more towards neonates being transported to higher centre in this very fragile period. We planned this study to assess demographic, transport and clinical characteristics of referred neonates and to determine whether TRIPS score serves as predictor of early neonatal mortality i.e. mortality within the first seven days after admission in these babies.Methods: This cross sectional descriptive study with analytic components was carried out in a tertiary care teaching hospital. All neonates ≥1 kg, born outside of this hospital, and referred here during study period for further management were included. All the data pertaining to clinical, demographic and transport characteristics were recorded. TRIPS score was applied at admission and was related with the final outcome within first seven days of admission; expired or survived. The association between the outcome and TRIPS score was tested using chi square test or fisher’s exact test. ROC curve analysis was done to find out optimum TRIPS score to predict mortality.Results: Neonatal mortality within first 7 days after admission is related to the TRIPS rating. The score of the survivors and neonatal deaths show a significant difference which is also even reflected by its individual components (p< 0.001). For a score of >18.5, a sensitivity of 89.47% and a specificity of 91.47%; area under the curve of 0.954 was determined.Conclusions: TRIPS score is a valid predictor of early neonatal mortality. The components of TRIPS score also correlate with early neonatal death. It is important to establish measures to improve physiological stability of the newborn before, during and after the transfer in order to reduce neonatal mortality.

scholarly journals Combined Detection of Preoperative Neutrophil-to-Lymphocyte Ratio and CEA as an Independent Prognostic Factor in Nonmetastatic Patients Undergoing Colorectal Cancer Resection Is Superior to NLR or CEA Alone

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Xiaoli Zhan ◽  
Xiaobo Sun ◽  
Yonggang Hong ◽  
Yuedong Wang ◽  
Kefeng Ding
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Predictive Accuracy ◽  
Area Under The Curve ◽  
Disease Free Survival ◽  
Neutrophil To Lymphocyte Ratio ◽  
Roc Curve Analysis ◽  
Lymphocyte Ratio ◽  
Colorectal Cancer Resection ◽  
Combined Detection

Objective. To explore the role of combined detection of carcinoembryonic antigen (CEA) and neutrophil-to-lymphocyte ratio (NLR) in the prognostic assessment of colorectal cancer (CRC). Methods. We investigated preoperative NLR and CEA in 125 surgical CRC patients, determined the patients’ thresholds by receiver operating characteristic (ROC) curve analysis, and assessed their prognostic values by Kaplan–Meier curve and Cox regression models. In addition, we used nomograms of several risk factors to evaluate the risk in survival and predictive accuracy by using Harrell’s concordance index (c-index). Results. Results of multivariate analysis showed high NLR, high CEA, and high COCN (combination of CEA and NLR) were significantly correlated with decreased disease-free survival (DFS) [HR: 2.229, 95% CI: 1.012–4.911, and P=0.047; HR: 3.652, 95% CI: 1.630–8.179, and P=0.002; HR: 3.139, 95% CI: 1.800–5.472, and P<0.001]. But high CEA and COCN remained significant only for decreased overall survival (OS) [HR: 3.713, 95% CI: 1.396–9.873, and P=0.009; HR: 3.106, 95% CI: 1.576–6.123, and P=0.001]. High NLR showed higher mortality rates with worse OS (P=0.058), and nomograms containing NLR improved the predictive accuracy. Area under the curve of COCN was higher than that of CEA or NLR. Conclusion. COCN acts as a better independent prognostic biomarker of CRC than NLR or CEA alone.

Length of capsular contact on prostate MRI as a predictor of extracapsular extension: which is the most optimal sequence?

2016 ◽  
Vol 58 (4) ◽  
pp. 489-497 ◽  
Author(s):  
Sungmin Woo ◽  
Sang Youn Kim ◽  
Jeong Yeon Cho ◽  
Seung Hyup Kim
Keyword(s):  
Clinical Stage ◽  
Univariate Analysis ◽  
Area Under The Curve ◽  
Rank Test ◽  
Extracapsular Extension ◽  
Roc Curve Analysis ◽  
Optimal Sequence ◽  
Prostate Mri ◽  
Significant Difference ◽  
Mri Sequences

Background Length of capsular contact (LCC) is a promising biomarker for predicting extracapsular extension (ECE), but the most optimal magnetic resonance imaging (MRI) sequence for measuring LCC is yet to be determined. Purpose To evaluate LCC using different MRI sequences for determining ECE in prostate cancer. Material and Methods A total of 185 patients underwent prostate MRI followed by radical prostatectomy. LCC was measured separately on T2-weighted (T2W) images, apparent diffusion coefficient (ADC) maps, and dynamic contrast-enhanced (DCE) MRI. LCCs (LCCT2, LCCADC, LCCDCE, and LCCmax [greatest value of 3 LCCs]) were compared between sequences using Wilcoxon signed rank test and was tested for determining ECE using the Mann–Whitney U test, ROC curve analysis, and logistic regression analysis. Results There were no significant differences among LCCs ( P = 0.333–0.837). All LCCs were significantly greater in patients with ECE ( P < 0.001). The optimal threshold value for predicting ECE was >14, >13, >12, and >14 mm for LCCT2, LCCADC, LCCDCE, and LCCmax, respectively. LCCmax yielded the highest area under the curve (0.895) which was significantly greater than that by LCCADC (0.858, P = 0.030). Otherwise, there were no significant difference between LCCs ( P = 0.052–0.985). At univariate analysis, age, clinical stage, PSA, Gleason score, and all LCCs were significantly associated with ECE ( P < 0.001–0.040). At multivariate analysis, GS ( P ≤ 0.008) and all LCCs ( P < 0.001) were independently predictive factors. Conclusion LCC measured on any sequence was significantly different in patients with and without ECE and was independently associated with the presence of ECE. Although LCCmax showed the greatest ability to predict ECE, there was relatively equivalent performance among different MRI sequences.

scholarly journals ADL Recovery Trajectory after Discharge and its Predictors among Baseline-Independent Older Inpatients

2019 ◽  
Author(s):  
Xiuyue Li ◽  
Tingting Zheng ◽  
Yaqi Guan ◽  
Hui Li ◽  
Kexin Zhu ◽  
...  
Keyword(s):  
Recovery Rate ◽  
Older Patients ◽  
Area Under The Curve ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Cluster Sampling ◽  
Roc Curve Analysis ◽  
Post Discharge ◽  
Chi Square ◽  
Recovery Trajectory

Abstract Background Among the previous studies about the ADL recovery and its predictors,the researches and resources used to study and protect the baseline-independent older patients from being permanently ADL-dependent was few. We aimed to describe the level of activities of daily living (ADL) at discharge and ADL change within 6 months after discharge in older patients who were ADL-independent before admission but became dependent because of acute illness, and to identify the predictors of early rehabilitation,so as to provide the basis to early intervention. Methods Stratified cluster sampling was used to recruit 520 hospitalised older patients who were ADL-independent from departments of internal medicine at two tertiary hospitals from August 2017 to May 2018. Demographics, clinical data, and ADL status at 1, 3, and 6 months after discharge were collected. Data were analysed using descriptive statistics, Student’s t-test,Pearson’s chi-square test,Spearman’s correlation analysis, binary logistic regression analysis, and receiver operating characteristic (ROC) curve analysis. Results There were 403 out of 520 patients completing the 6-month follow-up, and 229 (56.8%) regained independence at 6 months after discharge. There was an overall increasing trend in ADL with time. The recovery rate was the highest within the first month after discharge, gradually declined after 1 month, and changed less obviously from 3 to 6 months after discharge (P<0.001). ADL score at discharge (OR=1.034, P<0.001), age (OR=0.269, P=0.001), post-discharge residence (OR=0.390, P<0.05), and cognition status at discharge(OR=1.685, P<0.05) were predictors of ADL recovery. The area under the curve of the four predictors combined was 0.763 (P<0.001). Conclusion Studying ADL recovery rate and its predicting indicators of the baseline independent inpatients at different time points provide a theoretical reference for the formulation of nursing plans and allocation of care resources.

scholarly journals Shock Index-C: An Updated and Simple Risk-Stratifying Tool in ST-Segment Elevation Myocardial Infarction

2021 ◽  
Vol 8 ◽  
Author(s):  
Peng Ran ◽  
Xue-biao Wei ◽  
Ying-wen Lin ◽  
Guang Li ◽  
Jie-leng Huang ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Predictive Power ◽  
Area Under The Curve ◽  
Hospital Death ◽  
Shock Index ◽  
Roc Curve Analysis ◽  
Chi Square ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment

Background: Shock index (heart rate/systolic blood pressure, SI) is a simple scale with prognostic value in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI). The present study introduces an updated version of SI that includes renal function.Methods: A total of 1,851 consecutive patients with STEMI undergoing PCI were retrospectively included at Cardiac Care Unit in Guangdong Provincial People's Hospital and divided into two groups according to their admission time: derivation database (from January 2010 to December 2013, n = 1,145) and validation database (from January 2014 to April 2016, n = 706). Shock Index-C (SIC) was calculated as (SI × 100)–estimated CCr. Calibration was evaluated using the Hosmer-Lemeshow statistic. The predictive power of SIC was evaluated using receiver operating characteristic (ROC) curve analysis.Results: The predictive value and calibration of SIC for in-hospital death was excellent in derivation [area under the curve (AUC) = 0.877, p &lt; 0.001; Hosmer-Lemeshow chi-square = 3.95, p = 0.861] and validation cohort (AUC = 0.868, p &lt; 0.001; Hosmer-Lemeshow chi-square = 5.01, p = 0.756). SIC exhibited better predictive power for in-hospital events than SI (AUC: 0.874 vs. 0.759 for death; 0.837 vs. 0.651 for major adverse clinical events [MACEs]; 0.707 vs. 0.577 for contrast-induced acute kidney injury [CI-AKI]; and 0.732 vs. 0.590 for bleeding, all p &lt; 0.001). Cumulative 1-year mortality was significantly higher in the upper SIC tertile (log-rank = 131.89, p &lt; 0.001).Conclusion: SIC was an effective predictor of poor prognosis and may have potential as a novel and simple risk stratification tool for patients with STEMI undergoing PCI.

scholarly journals ADL Recovery Trajectory after Discharge and its Predictors among Baseline-Independent Older Inpatients

2020 ◽  
Author(s):  
Xiuyue Li ◽  
Tingting Zheng ◽  
Yaqi Guan ◽  
Hui Li ◽  
Kexin Zhu ◽  
...  
Keyword(s):  
Recovery Rate ◽  
Older Patients ◽  
Area Under The Curve ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Cluster Sampling ◽  
Roc Curve Analysis ◽  
Post Discharge ◽  
Chi Square ◽  
Recovery Trajectory

Abstract Background Among the previous studies about the ADL recovery and its predictors, the researches and resources used to study and protect the baseline-independent older patients from being permanently ADL-dependent was few. We aimed to describe the level of activities of daily living (ADL) at discharge and ADL change within 6 months after discharge in older patients who were ADL-independent before admission but became dependent because of acute illness, and to identify the predictors of early rehabilitation,so as to provide the basis to early intervention.Methods Stratified cluster sampling was used to recruit 520 hospitalised older patients who were ADL-independent from departments of internal medicine at two tertiary hospitals from August 2017 to May 2018. Demographics, clinical data, and ADL status at 1, 3, and 6 months after discharge were collected. Data were analysed using descriptive statistics, Student’s t-test, Pearson’s chi-square test,Spearman’s correlation analysis, binary logistic regression analysis, and receiver operating characteristic (ROC) curve analysis.Results There were 403 out of 520 patients completing the 6-month follow-up, and 229 (56.8%) regained independence at 6 months after discharge. There was an overall increasing trend in ADL with time. The recovery rate was the highest within the first month after discharge, gradually declined after 1 month, and changed less obviously from 3 to 6 months after discharge (p<0.001). ADL score at discharge (OR=1.034, p<0.001), age (OR=0.269, p=0.001), post-discharge residence (OR=0.390, p<0.05), and cognition status at discharge (OR=1.685, p<0.05) were predictors of ADL recovery. The area under the curve of the four predictors combined was 0.763 (p<0.001). Conclusion Studying ADL recovery rate and its predicting indicators of the baseline independent inpatients at different time points provide a theoretical reference for the formulation of nursing plans and allocation of care resources.

scholarly journals ADL Recovery Trajectory after Discharge and its Predictors among Baseline-Independent Older Inpatients

2020 ◽  
Author(s):  
Xiuyue Li ◽  
Tingting Zheng ◽  
Yaqi Guan ◽  
Hui Li ◽  
Kexin Zhu ◽  
...  
Keyword(s):  
Recovery Rate ◽  
Older Patients ◽  
Area Under The Curve ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Cluster Sampling ◽  
Roc Curve Analysis ◽  
Post Discharge ◽  
Chi Square ◽  
Recovery Trajectory

Abstract Background Among the previous studies about the ADL recovery and its predictors, the researches and resources used to study and protect the baseline-independent older patients from being permanently ADL-dependent was few. We aimed to describe the level of activities of daily living (ADL) at discharge and ADL change within 6 months after discharge in older patients who were ADL-independent before admission but became dependent because of acute illness, and to identify the predictors of early rehabilitation,so as to provide the basis to early intervention. Methods Stratified cluster sampling was used to recruit 520 hospitalised older patients who were ADL-independent from departments of internal medicine at two tertiary hospitals from August 2017 to May 2018. Demographics, clinical data, and ADL status at 1, 3, and 6 months after discharge were collected. Data were analysed using descriptive statistics, Student’s t-test, Pearson’s chi-square test,Spearman’s correlation analysis, binary logistic regression analysis, and receiver operating characteristic (ROC) curve analysis. Results There were 403 out of 520 patients completing the 6-month follow-up, and 229 (56.8%) regained independence at 6 months after discharge. There was an overall increasing trend in ADL with time. The recovery rate was the highest within the first month after discharge, gradually declined after 1 month, and changed less obviously from 3 to 6 months after discharge (p<0.001). ADL score at discharge (OR=1.034, p<0.001), age (OR=0.269, p=0.001), post-discharge residence (OR=0.390, p<0.05), and cognition status at discharge (OR=1.685, p<0.05) were predictors of ADL recovery. The area under the curve of the four predictors combined was 0.763 (p<0.001). Conclusion Studying ADL recovery rate and its predicting indicators of the baseline independent inpatients at different time points provide a theoretical reference for the formulation of nursing plans and allocation of care resources.

Gallbladder Ejection Fraction Declines with Age in Patients Undergoing Cholecystectomy for Acalculous Biliary Symptoms But Has Low Accuracy in the Prediction of Gallbladder Pathology

2015 ◽  
Vol 32 (1) ◽  
pp. 68-72 ◽  
Author(s):  
Aled Jones ◽  
Golnaz Shahtahmassebi ◽  
David Stell
Keyword(s):  
Ejection Fraction ◽  
Predictive Accuracy ◽  
Normal Values ◽  
Normal Population ◽  
Iminodiacetic Acid ◽  
Biliary Colic ◽  
Roc Curve Analysis ◽  
Chi Square ◽  
Gallbladder Ejection Fraction ◽  
Hida Scan

Background/Aims: Hepatobiliary Iminodiacetic Acid (HIDA) scan provides a technique to quantify gallbladder ejection fraction (EF) in patients suffering acalculous biliary colic (ACBC). We wished to evaluate the accuracy of EF in the prediction of gallbladder pathology in patients undergoing cholecystectomy. Methods: Data were retrieved from a database of patients referred for HIDA scan for ACBC, including EF and the pathological outcome of those undergoing cholecystectomy, and compared to normal values obtained from a review of related studies. Significant associations were demonstrated by chi-square, Mann-Whitney test, and linear regression. The predictive accuracy of different cut-offs of EF was demonstrated by the ROC curve analysis. Results: Of 83 patients referred for HIDA scan for ACBC, 41 underwent cholecystectomy. The median EF of this group (33%) was significantly lower than the composite normal median value from previous studies (56%). Thirty-two patients revealed evidence of gallbladder pathology. The EF declined with age (coefficient = -0.51, 95% CI = -0.99 to -0.33), but the median value did not differ between those with gallbladder pathology (34%) and those with normal gallbladders (29%). Conclusion/Discussion: Although an EF cut-off of 35% had the greatest accuracy in the prediction of pathology of those tested (0.56), the poor negative predictive value (23.5%) was a major contributor to its low accuracy. Although patients with ACBC have reduced gallbladder EF compared to the normal population, its quantitative assessment is of limited value in the prediction of gallbladder pathology.

scholarly journals AB0619 PROGNOSTIC FACTORS OF PATIENTS WITH ANTI-MDA5 ANTIBODY-POSITIVE DERMATOMYOSITIS COMPLICATED WITH INTERSTITIAL PNEUMONIA -A JAPANESE SINGLE CENTER STUDY-

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1605.1-1605
Author(s):  
A. Umeda ◽  
M. Sawada ◽  
N. Watanabe ◽  
M. Suzuki ◽  
T. Naganawa ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Interstitial Pneumonia ◽  
Serum Ferritin ◽  
Protective Factor ◽  
Detection System ◽  
Ferritin Level ◽  
Multivariable Analysis ◽  
University Hospital ◽  
Rank Test ◽  
Roc Curve Analysis

Background:Anti-melanoma differentiation-associated gene 5 antibody (anti-MDA5 Ab)-positive dermatomyositis (DM) is frequently associated with rapidly progressive interstitial pneumonia (RPIP), whose prognosis is assumed to be poor[1]. Although outcome of DM-RPIP has been reported to be improved by early immunosuppressive therapy, we still experience the cases with severe outcome. Only several reports mentioned the prognostic factors and they have not been fully elucidated.Objectives:To identify the predictors of prognosis in patients with anti-MDA5 Ab-positive DM associated with interstitial pneumonia (DM-IP).Methods:Anti-MDA5 Ab-positive DM-IP patients admitted to Fujita Health University Hospital between January 2010 and October 2019 were consecutively included and stratified into 2 groups, the survived and the deceased groups. DM was diagnosed according to the criteria proposed by Bohan and Peter[2]. Clinically amyopathic DM was diagnosed according to the criteria proposed by Sontheimer [3]. Diagnosis of IP was based on findings of high resolution CT scan (HRCT). The definition of RPIP was rapid exacerbation of hypoxemia or HRCT findings in a period of days to one month after the onset. Clinical features and prognosis of the patients were collected retrospectively and compared between groups. Candidates of predictors are extracted by the univariable analysis using Fisher’s exact test for dichotic parameters and Wilcoxon signed-rank test for continuous parameters and multivariable analysis using logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was examined to obtain the cut-off level. Survival was examined using Kaplan-Meier method and Log-rank test.Results:Twenty-one patients were involved. Eight were deceased and 13 were survived. The deceased group had a higher ratio of male (75% versus 25%, p= 0.018). All deceased cases were with RPIP and 67 % in the survived cases. Levels of serum ferritin (4490 versus 646 ng/mL, p = 0.0026), CRP (2.1 versus 0.9 mg/dL, p = 0.0490), CK (1150 versus 290 U/L, p = 0.017), AST (194 versus 108 U/L, p = 0.025) and LDH (674 versus 368 U/L, p = 0.011) were higher in the deceased group. Interestingly, skin ulcers were tended to be more frequent (12.5% versus 87.5%, p= 0.0587), and anti-SS-A antibody was also more frequently detected (14.3% versus 85.7%, p=0.0072) in the survived group. Using ROC analysis cut-off values were 963 ng/mL for serum ferritin level (sensitivity 100%, specificity 83%), 0.7 mg/dL for CRP (sensitivity 75%, specificity 69%), 308 U/L for CK (sensitivity 88%, specificity 77%), 62 U/L for ALT (sensitivity 100%, specificity 62%), and 454 U/L for LDH (sensitivity 88%, specificity 77%). Patients were divided into two groups based on these cut-offs or based on dichotic parameters and survival was examined between 2 groups. Except CRP and anti-SS-A antibody, survival was significantly worse in parameter-positive or higher groups. Interestingly, anti-SS-A antibody-positive group had better outcome compared with those without.Conclusion:In our analysis, novel candidates such as serum CK, AST, and LDH levels were newly extracted and parameters previously reported was also included and those were also associated with the clinical outcome. In addition, anti-SS-A antibody was identified as a novel protective factor associated with a good outcome.References:[1]Nakashima R, Hosono Y, Mimori T. Clinical significance and new detection system of autoantibodies in myositis with interstitial lung disease. Lupus 2016;25:925-33.[2]Bohan A, Peter JB. Polymyositis and dermatomyositis. N Eng J Med 1975;292:344-7.[3]Sontheimer RD. Dermatomyositis: an overview of recent progress with emphasis on dermatologic aspects. Dermatol Clin 2000;20:387-408.Disclosure of Interests:None declared

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