Predictive value of plasma parameters in the risk of postpartum ketosis in dairy cows

AbstractIntroduction:The predictive value of selected parameters in the risk of ketosis and fatty liver in dairy cows was determined.Material and Methods:In total, 21 control and 17 ketotic Holstein Friesian cows with a β-hydroxybutyrate (BHBA) concentration of 1.20 mmol/L as a cut-off point were selected. The risk prediction thresholds for ketosis were determined by receiver operating characteristic (ROC) curve analysis.Results:In the ketosis group, paraoxonase-1 (PON-1) activity and concentration of PON-1 and glucose (GLU) were decreased, and aminotransferase (AST) activity as well as BHBA and non-esterified fatty acid (NEFA) contents were increased. The plasma activity and concentration of PON-1 were significantly positively correlated with the level of plasma GLU. The plasma activity and concentration of PON-1 were significantly negatively correlated with the levels of AST and BHBA. According to ROC curve analysis, warning indexes of ketosis were: plasma PON-1 concentration of 46.79 nmol/L, GLU concentration of 3.04 mmol/L, AST concentration of 100 U/L, and NEFA concentration of 0.82 mmol/L.Conclusion:This study showed that the levels of PON-1, GLU, AST, and NEFA could be used as indicators to predict the risk of ketosis in dairy cows.

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Combine preoperative estimation of serum thyroglobulin and ACR-thyroid imaging reporting and data system scoring could accurately define malignant thyroid nodules

International Surgery Journal ◽

10.18203/2349-2902.isj20205866 ◽

2020 ◽

Vol 8 (1) ◽

pp. 32

Author(s):

Waseem A. Shoda

Keyword(s):

Roc Curve ◽

Predictive Value ◽

Thyroid Nodules ◽

Curve Analysis ◽

Data System ◽

Operating Characteristics ◽

Roc Curve Analysis ◽

Serum Thyroglobulin ◽

Thyroid Imaging ◽

Significant Difference

Background: Evaluation of diagnostic ability of preoperative estimation of serum thyroglobulin (TG) to detect malignant thyroid nodules (TN) in comparison to the American College of Radiology, Thyroid imaging reporting and data system (ACR-TIRADS), fine needle aspiration cytology (FNAC) and intraoperative frozen section (IO-FS).Methods: 34 patients with ACR-TIRADS 2-4 TN were evaluated preoperatively for identification of malignancy and all underwent total thyroidectomy with bilateral neck block dissection if indicated. Results of preoperative investigations were statistically analyzed using the Receiver operating characteristics (ROC) curve analysis as predictors for malignancy in comparison to postoperative paraffin sections.Results: Preoperative serum TG levels had 100% sensitivity and negative predictive value, while ACR-TIRADS scoring had 100% specificity and positive predictive value with accuracy rates of 95.35% and 97.67% for TG and TIRADS, respectively. ROC curve analysis defined preoperative ACR-TIRADS class and serum TG as highly diagnostic than FNAC for defining malignancy with non-significant difference between areas under curve for TIRADS and TG. For cases had intermediate risk of malignancy on TIRADS, IO-FS had missed 3, FNAC missed 4, while serum TG levels were very high in the 13 cases and were defined by ROC curve as the only significant predictor for malignancy.Conclusions: Preoperative estimation of serum TG showed higher diagnostic validity than FNAC, high predictability of cancer and ability to verify the intermediate findings on TIRADS. Combined preoperative TIRADS and TG estimation could accurately discriminate malignant TN with high accuracy and spare the need for preoperative FNAC or IO-FS.

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P204 Re-established CRP cut-off in UC; it may be a better predictor of mucosal remission

Journal of Crohn s and Colitis ◽

10.1093/ecco-jcc/jjz203.333 ◽

2020 ◽

Vol 14 (Supplement_1) ◽

pp. S240-S240

Author(s):

O K Bakkaloglu ◽

T Eskazan ◽

S Bozcan ◽

S Yıldırım ◽

E A Kurt ◽

...

Keyword(s):

Ulcerative Colitis ◽

Positive Predictive Value ◽

Roc Curve ◽

Predictive Value ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Predictive Values ◽

Mucosal Disease ◽

Mayo Score ◽

Montreal Classification

Abstract Background Although faecal calprotectin can predict mucosal remission in ulcerative colitis, the CRP level in this context is insufficient and frequently stay under the current cut off level. While some patients with active mucosal disease have normal CRP levels most patients in mucosal remission have much lower CRP levels. The aim of this study is to define CRP cut off levels in the prediction of mucosal remission, considering both extensiveness and severity, in ulcerative colitis. Methods We retrospectively reviewed colonoscopy reports of ulcerative colitis patients (who are not on any steroid treatment at that time) which were performed between December 2016 and March 2019 and also their CRP levels which were obtained at the same week of the colonoscopy examination. We excluded the data of patients with any other possible cause of inflammation or infection at the time of laboratory assessment. Degree of mucosal disease at colonoscopy was evaluated according to endoscopic Mayo score. Mucosal remission was defined as endoscopic Mayo score 0 or 1. The extent of mucosal inflammation was classified according to Montreal classification. The CRP level with optimal sensitivity and specificity for mucosal remission prediction was assessed by ROC curve analysis and positive and negative predictive values were also calculated. Results A total of 331 colonoscopy reports of 260 patients (122 m, 138 f) were involved in this study. There were no significant differences between ages of patients when compared with ex, and Montreal classification and we did not find any correlation between age and CRP levels. Sensitivity, specificity, positive predictive value and negative predictive values for 5 mg/l, 3 mg /l and 2 mg/l are summarised in Table 1. CRP levels which predict Mayo 0 disease, mucosal remission (Mayo 0–1) and Mayo 3 disease are shown in Table 2. At the ROC curve analysis, we found that CRP level of approximately 2.9 mg/l can predict mucosal remission with a 77% sensitivity and % 80 specificity in all examinations without grouping into a separate segmental disease. For subgroups with Montreal E1, E2 and E3 ROC curve analysis suggested 1,8 mg/l (sn. 84%, sp. 90%), 2,7 mg/l (sn. 75%, sp. 75%) and 3 mg/l (sn. 80%, sp. 80%) CRP levels can be used for prediction of mucosal remission respectively (Table 3). It is important to emphasise that 30% of all patients with Mayo 3 colonoscopy and further 23% of patients with Montreal E3–Mayo 3 activity have CRP levels below the regular cut-off value of 5 mg/l. Conclusion CRP cut-off level of approximately 2.9 mg/l can predict mucosal remission in ulcerative colitis better than standard cut-off of 5 mg/l which has a low positive predictive value and specificity even at extended and active mucosal disease.

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Predictive value of cerebrospinal fluid lactate for the diagnosis and treatment efficacy of post-neurosurgery bacterial meningitis

10.21203/rs.2.18481/v1 ◽

2019 ◽

Author(s):

Yufang Wang ◽

Jingchao Li ◽

Mingli Yao ◽

Lingyan Wang ◽

Bin Ouyang

Keyword(s):

Cerebrospinal Fluid ◽

Linear Regression ◽

Bacterial Meningitis ◽

Roc Curve ◽

Predictive Value ◽

Treatment Efficacy ◽

Curve Analysis ◽

Diagnosis And Treatment ◽

Roc Curve Analysis ◽

Csf Lactate

Abstract Background: Post-neurosurgical bacterial meningitis (PNBM) is a severe complication with high morbidity and mortality. Rapid and accurate diagnosis of PNBM is difficult. Therefore, it is necessary to find more reliable markers to assist the diagnosis. This study aims to evaluate the predictive value of cerebrospinal fluid (CSF) lactate for PNBM diagnosis and treatment efficacy.Methods: Total 105 cases were enrolled in patients with clinically suspected PNBM who underwent neurosurgeries during October 2015 to December 2016. CSF lactate as well as CSF routine and biochemistry test was measured. Receivers operating characteristic (ROC) curve analysis was used to evaluate the diagnostie power of CSF lactate for PNBM. To assess the predictive value of CSF lactate for treatment efficacy, a linear regression was used and tendency diagrams of CSF lactate and glucose for each patient were drawn.Results: Fifty-four of 105 patients were diagnosed with PNBM. CSF lactate level was significantly higher in PNBM than in non-PNBM patients (p < 0.001). The ROC curve analysis showed a great diagnostic power of CSF lactate for PNBM, and the cut-off value was 4.15 mmol/L (AUC = 0.92, sensitivity, 92.6%; specificity, 74.5%). The combination of CSF lactate and glucose showed better diagnostic efficacy (AUC = 0.97, sensitivity, 94.4%; specificity, 90.2%). The linear regression showed thatΔCSF lactate inversely correlated with ΔCSF glucose and directly correlated with ΔCSF leucocyte (both p < 0.001). The tendency diagrams showed CSF lactate a better predictor for PNBM treatment efficacy than CSF glucose.Conclusion: Our study showed CSF lactate had an excellent discriminatory power in distinguishing between PNBM and non-PNBM. The combination of CSF lactate and glucose had a better diagnostic accuracy than other CSF parameters alone. CSF lactate was a reliable predictor of treatment efficacy in PNBM patients.

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Abstract 12875: Serum Neutrophil Gelatinase-associated Lipocalin Has a Predictive Value for the Neurological Outcome of Post Cardiac Arrest Victims

Circulation ◽

10.1161/circ.132.suppl_3.12875 ◽

2015 ◽

Vol 132 (suppl_3) ◽

Author(s):

Tadashi Kaneko ◽

Motoki Fujita ◽

Yasuaki Ogino ◽

Hiroki Irie ◽

Shinsuke Iwashita ◽

...

Keyword(s):

Cardiac Arrest ◽

Roc Curve ◽

Predictive Value ◽

Neurological Outcome ◽

Neuron Specific Enolase ◽

Area Under The Curve ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Significant Difference ◽

Neutrophil Gelatinase

Introduction: Neutrophil gelatinase-associated lopocalin (NGAL) is well known as the biomarker of acute kidney injury. Currently, serum NGAL is reported as the biomarker which is associated with mortality and multiple organ dysfunction syndrome in septic patients. In this study, we measured serum NGAL in post cardiac arrest syndrome (PCAS) patients to investigate the predictive value of neurological outcome. Hypothesis: Serum NGAL is associated with favorable neurological outcome of PCAS patients. Methods: 43 cases of PCAS patients were measured serum NGAL on day 1 and 2, and serum neuron specific enolase (NSE) was also measured on day 2. Patients were divided into two group (group G: CPC 1-2 and group P: CPC 3-5, CPC: cerebral performance categories). Serum NGAL and NSE were compared between group G and P. Receiver operation characteristic (ROC) curve analysis were performed of both NGAL and NSE. Results: Group G (n = 20) and P (n = 23) were analyzed. Serum NGAL showed significant difference in day 2 (G: 282±116 ng/mL v.s. P: 299±87 ng/mL in day1: P = 0.609, G: 185±124 ng/mL v.s. P: 353±110 ng/mL in day 2: P<0.001). The ROC curve analysis showed area under the curve of NGAL in day 2 was 0.871, and the area of NSE in day2 showed 0.918. Conclusions: Serum NGAL in PCAS patients had the predictive value for neurological outcome which is comparable to serum NSE. (This study was supported by grants from Japanese Ministry of Health, Labour and Welfare: No. 25462824)

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The Plasma Level of Leukemia Stem Cell Specific Antigens - CLL1 and TIM3 Are Predictive of Overall Survival in Acute Myeloid Leukemia

Blood ◽

10.1182/blood.v126.23.1407.1407 ◽

2015 ◽

Vol 126 (23) ◽

pp. 1407-1407

Author(s):

Chin-Hin Ng ◽

Ma Thin Mar Win ◽

Elaine Seah ◽

Wee-Joo J Chng

Keyword(s):

Overall Survival ◽

Complete Remission ◽

Roc Curve ◽

Predictive Value ◽

Function Analysis ◽

Survival Function ◽

Survival Outcome ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Cox Regression Analysis

Abstract Background: Despite intensive chemotherapy, acute myeloid leukemia (AML) is still associated with significant relapse rate. This was thought to be due to a sub clone of leukemic blasts that was resistant to chemotherapy. This sub clone of resistant blasts were later identified to be leukemic stem cell (LSC). Many studies have demonstrated that high initial load of LSC at diagnosis was associated with relapse and poor overall outcome. This study aimed to use a clinically practical method - ELISA to identify plasma biomarkers that are closely related to LSC and study their predictive value in term of complete remission (CR), relapse, and overall survival. Method: Peripheral blood of 27 newly diagnosed AML patients were collected at diagnosis. Plasma component of the blood was separate from cellular component using Ficoll separation method. 9 biomarkers were shortlisted based on surface antigens of LSC that were commonly reported in literature as well as genes that were reported to be highly expressed in LSC. These are CD25, CD32, CD96, CD123, TIM3, CLL-1, HCK, FLT3 and WT1. Commercially available ELISA kits with high sensitivity and specificity to these 9 human biomarkers were sourced. All 9 biomarkers were measured on 80 normal blood donors' plasma to use as control and to establish the normal range (Mean+/-2SD). The plasma of the 27 study subjects was measured in duplicate for all 9 biomarkers. ROC curve analysis was done in relation to complete remission, relapse, and survival outcome on all 9 candidates biomarkers. Results: A total 27 newly diagnosed AML patients with curative intent were included in this analysis. Median age for this cohort was 41 years old (range: 22-70). Induction death rate 14.8% (n=4), and complete remission (CR) rate of 77.8%. A total of 8 relapsed refractory cases and 6 deaths were observed over the median follow-up of 10.2 months (range: 0.6-31.2). ROC curve analysis was carried out on all 9 candidates plasma biomarkers, CLL-1 and TIM3 came out to be of significant predictive value of survival outcome. No biomarker was found to be predictive of relapse or CR. ROC curve analysis of plasma CLL-1 level in relation to survival outcome showed an AUC of 0.77 with a plasma cut-off level of 54pg/ml giving the best discriminative result. Chi-square test using this cut off level for survival outcome showed a better survival in patients with plasma CLL-1 level of <54pg/ml (p= 0.001). This cut-off level gave a sensitivity of 83.3% and a specificity of 85.7%, with a high negative predictive value (NPV) of 94.7% but moderate positive predictive value (PPV) of 62.5%. Using this cut-off level to predict CR also showed a significant result (50% CR rate for those with plasma CLL-1 of >54 pg/ml compared to 89.5% in patients with <54pg/ml, p=0.024). Survival function analysis using this cut-off level showed a significantly prolonged survival in patients with plasma CLL-1 level of <54pg/ml with mean survival of 29.63 months (95%CI: 26.70-32.56) as compared to those with plasma CLL-1 level of >54pg/ml (Mean survival: 8.1 months, 95%CI:3.2-13.0). Cox-regression analysis on overall survival showed a significantly high Hazard Ratio of 18.3 for plasma CLL-1 level >54pg/ml (p=0.09, 95%CI:2.09-160.2), see the figure 1 below. ROC curve analysis of plasma TIM3 level in relation to survival outcome revealed an AUC of 0.73 with a plasma cut-off level of 615pg/ml to be the best discriminative cut-off. Chi-square test using this cut-off level for survival outcome showed significant better survival in patients with plasma TIM3 level of <615pg/ml (p=0.016). This cut-off level gave a sensitivity of 83.3% and a specificity of 71.43% with high NPV of 93.75% but a rather low PPV of 45.45%. Survival function analysis again confirmed a much longer mean survival in patients with plasma TIM3 level of <615pg/ml (Mean survival: 29.2 months, 95%CI:25.5-32.9) as compared to TIM3 level of >615pg/ml (Mean survival: 13.8 months, 95%CI:7.2-20.4), p=0.014. Cox-regression analysis again showed a significant Hazard Ratio of 9.2 for plasma TIM3 level of >615pg/ml (p=0.043, 95%CI:1.01-78.7), see figure 2 below. Conclusion: A raised plasma CLL-1 level of more than 54pg/ml and TIM3 level of more than 615pg/ml were predictive of survival outcome in this small cohort of AML patients who underwent curative chemotherapy. A larger cohort of AML patients would be needed to confirm this novel finding. Disclosures No relevant conflicts of interest to declare.

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Acute heart failure: predicting early in-hospital outcomes

European Journal of Preventive Cardiology ◽

10.1093/eurjpc/zwab061.019 ◽

2021 ◽

Vol 28 (Supplement_1) ◽

Author(s):

M Santos ◽

S Paula ◽

I Almeida ◽

H Santos ◽

H Miranda ◽

...

Keyword(s):

Heart Failure ◽

Logistic Regression ◽

Acute Heart Failure ◽

Roc Curve ◽

Real Life ◽

Study Data ◽

Curve Analysis ◽

Older Age ◽

Invasive Ventilation ◽

Roc Curve Analysis

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Patients (P) with acute heart failure (AHF) are a heterogeneous population. Risk stratification at admission may help predict in-hospital complications and needs. The Get With The Guidelines Heart Failure score (GWTG-HF) predicts in-hospital mortality (M) of P admitted with AHF. ACTION ICU score is validated to estimate the risk of complications requiring ICU care in non-ST elevation acute coronary syndromes. Objective To validate ACTION-ICU score in AHF and to compare ACTION-ICU to GWTG-HF as predictors of in-hospital M (IHM), early M [1-month mortality (1mM)] and 1-month readmission (1mRA), using real-life data. Methods Based on a single-center retrospective study, data collected from P admitted in the Cardiology department with AHF between 2010 and 2017. P without data on previous cardiovascular history or uncompleted clinical data were excluded. Statistical analysis used chi-square, non-parametric tests, logistic regression analysis and ROC curve analysis. Results Among the 300 P admitted with AHF included, mean age was 67.4 ± 12.6 years old and 72.7% were male. Systolic blood pressure (SBP) was 131.2 ± 37.0mmHg, glomerular filtration rate (GFR) was 57.1 ± 23.5ml/min. 35.3% were admitted in Killip-Kimball class (KKC) 4. ACTION-ICU score was 10.4 ± 2.3 and GWTG-HF was 41.7 ± 9.6. Inotropes’ usage was necessary in 32.7% of the P, 11.3% of the P needed non-invasive ventilation (NIV), 8% needed invasive ventilation (IV). IHM rate was 5% and 1mM was 8%. 6.3% of the P were readmitted 1 month after discharge. Older age (p < 0.001), lower SBP (p = 0,035) and need of inotropes (p < 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p < 0.001). Older age (OR 1.06, p = 0.002, CI 1.02-1.10), lower SBP (OR 1.01, p = 0.05, CI 1.00-1.02) and lower left ventricle ejection fraction (LVEF) (OR 1.06, p < 0.001, CI 1.03-1.09) were predictors of need of NIV. None of the variables were predictive of IV. LVEF (OR 0.924, p < 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p < 0.001, CI 0.971-0.988), higher urea (OR 1.01, p < 0.001, CI 1.005-1.018) and lower sodium (OR 0.92, p = 0.002, CI 0.873-0.971) were predictors of inotropes’ usage. Logistic regression showed that GWTG-HF predicted IHM (OR 1.12, p < 0.001, CI 1.05-1.19), 1mM (OR 1.10, p = 1.10, CI 1.04-1.16) and inotropes’s usage (OR 1.06, p < 0.001, CI 1.03-1.10), however it was not predictive of 1mRA, need of IV or NIV. Similarly, ACTION-ICU predicted IHM (OR 1.51, p = 0.02, CI 1.158-1.977), 1mM (OR 1.45, p = 0.002, CI 1.15-1.81) and inotropes’ usage (OR 1.22, p = 0.002, CI 1.08-1.39), but not 1mRA, the need of IV or NIV. ROC curve analysis revealed that GWTG-HF score performed better than ACTION-ICU regarding IHM (AUC 0.774, CI 0.46-0-90 vs AUC 0.731, CI 0.59-0.88) and 1mM (AUC 0.727, CI 0.60-0.85 vs AUC 0.707, CI 0.58-0.84). Conclusion In our population, both scores were able to predict IHM, 1mM and inotropes’s usage.

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Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study

BMC Research Notes ◽

10.1186/s13104-021-05659-9 ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Yuichiro Shimoyama ◽

Osamu Umegaki ◽

Noriko Kadono ◽

Toshiaki Minami

Keyword(s):

Multivariate Analysis ◽

Roc Curve ◽

Operating Characteristic ◽

Prognostic Nutritional Index ◽

Early Mortality ◽

Curve Analysis ◽

Rank Test ◽

Roc Curve Analysis ◽

Log Rank Test ◽

Nutritional Index

Abstract Objective Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. Results Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320).

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Soluble cytotoxic T-lymphocyte–associated antigen 4 (sCTLA-4) as a potential biomarker for diagnosis and evaluation of the prognosis in Glioma

BMC Immunology ◽

10.1186/s12865-021-00422-y ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Jiajia Liu ◽

Xiaoyi Tian ◽

Yan Wang ◽

Xixiong Kang ◽

Wenqi Song

Keyword(s):

T Lymphocyte ◽

Roc Curve ◽

Cytotoxic T Lymphocyte ◽

Tumor Grade ◽

Curve Analysis ◽

Enzyme Linked Immunosorbent Assay ◽

Low Grade ◽

High Grade ◽

Healthy Individuals ◽

Roc Curve Analysis

Abstract Background The cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) is widely considered as a pivotal immune checkpoint molecule to suppress antitumor immunity. However, the significance of soluble CTLA-4 (sCTLA-4) remains unclear in the patients with brain glioma. Here we aimed to investigate the significance of serum sCTLA-4 levels as a noninvasive biomarker for diagnosis and evaluation of the prognosis in glioma patients. Methods In this study, the levels of sCTLA-4 in serum from 50 patients diagnosed with different grade gliomas including preoperative and postoperative, and 50 healthy individuals were measured by an enzyme-linked immunosorbent assay (ELISA). And then ROC curve analysis and survival analyses were performed to explore the clinical significance of sCTLA-4. Results Serum sCTLA-4 levels were significantly increased in patients with glioma compared to that of healthy individuals, and which was also positively correlated with the tumor grade. ROC curve analysis showed that the best cutoff value for sCTLA-4 for glioma is 112.1 pg/ml, as well as the sensitivity and specificity with 82.0 and 78.0%, respectively, and a cut-off value of 220.43 pg/ml was best distinguished in patients between low-grade glioma group and high-grade glioma group with sensitivity 73.1% and specificity 79.2%. Survival analysis revealed that the patients with high sCTLA-4 levels (> 189.64 pg/ml) had shorter progression-free survival (PFS) compared to those with low sCTLA-4 levels (≤189.64 pg/ml). In the univariate analysis, elder, high-grade tumor, high sCTLA-4 levels and high Ki-67 index were significantly associated with shorter PFS. In the multivariate analysis, sCTLA-4 levels and tumor grade remained an independent prognostic factor. Conclusion These findings indicated that serum sCTLA-4 levels play a critical role in the pathogenesis and development of glioma, which might become a valuable predictive biomarker for supplementary diagnosis and evaluation of the progress and prognosis in glioma.

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Predictive CT features for the diagnosis of primary pulmonary mucoepidermoid carcinoma: comparison with squamous cell carcinomas and adenocarcinomas

Cancer Imaging ◽

10.1186/s40644-020-00375-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xiaohua Ban ◽

Xinping Shen ◽

Huijun Hu ◽

Rong Zhang ◽

Chuanmiao Xie ◽

...

Keyword(s):

Logistic Regression ◽

Roc Curve ◽

Multinomial Logistic Regression ◽

Univariate Analysis ◽

Ct Imaging ◽

Squamous Cell Carcinomas ◽

Curve Analysis ◽

Imaging Features ◽

Roc Curve Analysis ◽

Ct Features

Abstract Background To determine the predictive CT imaging features for diagnosis in patients with primary pulmonary mucoepidermoid carcinomas (PMECs). Materials and methods CT imaging features of 37 patients with primary PMECs, 76 with squamous cell carcinomas (SCCs) and 78 with adenocarcinomas were retrospectively reviewed. The difference of CT features among the PMECs, SCCs and adenocarcinomas was analyzed using univariate analysis, followed by multinomial logistic regression and receiver operating characteristic (ROC) curve analysis. Results CT imaging features including tumor size, location, margin, shape, necrosis and degree of enhancement were significant different among the PMECs, SCCs and adenocarcinomas, as determined by univariate analysis (P < 0.05). Only lesion location, shape, margin and degree of enhancement remained independent factors in multinomial logistic regression analysis. ROC curve analysis showed that the area under curve of the obtained multinomial logistic regression model was 0.805 (95%CI: 0.704–0.906). Conclusion The prediction model derived from location, margin, shape and degree of enhancement can be used for preoperative diagnosis of PMECs.

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Mortality risk prediction in lupus patients complicated with invasive infection in the emergency department: LUPHAS score

Therapeutic Advances in Musculoskeletal Disease ◽

10.1177/1759720x19885559 ◽

2019 ◽

Vol 11 ◽

pp. 1759720X1988555 ◽

Cited By ~ 1

Author(s):

Wanlong Wu ◽

Jun Ma ◽

Yuhong Zhou ◽

Chao Tang ◽

Feng Zhao ◽

...

Keyword(s):

Emergency Department ◽

Prediction Model ◽

Risk Score ◽

Roc Curve ◽

Curve Analysis ◽

Multivariable Logistic Regression Analysis ◽

Invasive Infection ◽

Roc Curve Analysis ◽

All Cause Mortality ◽

Qsofa Score

Background: Infection remains a major cause of morbidity and mortality in patients with systemic lupus erythematosus (SLE). This study aimed to establish a clinical prediction model for the 3-month all-cause mortality of invasive infection events in patients with SLE in the emergency department. Methods: SLE patients complicated with invasive infection admitted into the emergency department were included in this study. Patient’s demographic, clinical, and laboratory characteristics on admission were retrospectively collected as baseline data and compared between the deceased and the survivors. Independent predictors were identified by multivariable logistic regression analysis. A prediction model for all-cause mortality was established and evaluated by receiver operating characteristic (ROC) curve analysis. Results: A total of 130 eligible patients were collected with a cumulative 38.5% 3-month mortality. Lymphocyte count <800/ul, urea >7.6mmol/l, maximum prednisone dose in the past ⩾60 mg/d, quick Sequential Organ Failure Assessment (qSOFA) score, and age at baseline were independent predictors for all-cause mortality (LUPHAS). In contrast, a history of hydroxychloroquine use was protective. In a combined, odds ratio-weighted LUPHAS scoring system (score 3–22), patients were categorized to three groups: low-risk (score 3–9), medium-risk (score 10–15), and high-risk (score 16–22), with mortalities of 4.9% (2/41), 45.9% (28/61), and 78.3% (18/23) respectively. ROC curve analysis indicated that a LUPHAS score could effectively predict all-cause mortality [area under the curve (AUC) = 0.86, CI 95% 0.79–0.92]. In addition, LUPHAS score performed better than the qSOFA score alone (AUC = 0.69, CI 95% 0.59–0.78), or CURB-65 score (AUC = 0.69, CI 95% 0.59–0.80) in the subgroup of lung infections ( n = 108). Conclusions: Based on a large emergency cohort of lupus patients complicated with invasive infection, the LUPHAS score was established to predict the short-term all-cause mortality, which could be a promising applicable tool for risk stratification in clinical practice.

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