Correlation Between Expression levels of lncRNA FER1L4 and RB1 in Patients with Colorectal Cancer

Abstract Colorectal cancer is one of the most common cancers in the world. Studies demonstrated that lncRNA FER1L4 was downregulated in different cancers and its expression was positively correlated with RB1 in a competing endogenous RNAs network. We investigated expression levels of FER1L4 lncRNA and RB1 in patients with colorectal cancer. 50 paired colorectal tumor and non-tumor marginal tissues, as well as 30 paired adenomatous colorectal polyps and matched adjacent normal tissues were obtained from the patients. Total RNA was extracted from the samples and cDNAs were synthesized. Their expression were quantified by qRT-PCR. Correlation between FER1L4 and RB1 expression levels was analyzed by Pearson correlation test. Finally, ROC curve analysis was used to evaluate their biomarker potency. We observed significant downregulation of FER1L4, but upregulation of RB1 in the colorectal tumors compared with non-tumor as well as with the adenomatous colorectal polyp tissues. However, RB1 expression was positively correlated with the FER1L4 expression both in the tumor and polyp samples. ROC curve analysis showed that both FER1L4 and RB1 expression levels could discriminate tumor from non-tumor and tumor from polyp samples. None of clinicopathological characteristics of patients were associated with FER1L4 or RB1 expression levels. Despite downregulation of FER1L4 and upregulation of RB1 in tumors compared with non-tumor tissues, the expression of RB1 was positively correlated with the expression of FER1L4 in the colorectal tumor as well as in the adenomatous colorectal polyp tissues. FER1L4 expression level might be considered as a potential biomarker for colorectal cancer development.

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Availability of Circulating microRNAs As a Biomarker for the Early Diagnosis of Diffuse Large B-Cell Lymphoma

Blood ◽

10.1182/blood.v124.21.2988.2988 ◽

2014 ◽

Vol 124 (21) ◽

pp. 2988-2988 ◽

Cited By ~ 2

Author(s):

Katsushige Inada ◽

Yasushi Okoshi ◽

Yukiko Cho ◽

Hitoaki Saito ◽

Tatsuo Iijima ◽

...

Keyword(s):

Lymph Nodes ◽

Healthy Volunteers ◽

Roc Curve ◽

B Cell Lymphoma ◽

Curve Analysis ◽

Serum Samples ◽

Roc Curve Analysis ◽

Expression Levels ◽

Circulating Mirna ◽

Large B Cell Lymphoma

Abstract Introduction: MicroRNA (miRNA) is a class of non-coding small RNA (~22 nucleotides), which regulates post-transcriptional gene expression through binding to complementary sites of target messenger RNA. Recent studies have revealed that miRNA plays important roles in oncogenesis mainly by regulating oncogenes or tumor suppressor genes. As miRNA exists not only within cells but also in peripheral blood, circulating miRNA can be an easily obtainable cancer biomarker. Furthermore, circulating miRNA, which exists within exosomes or as a complex with particular proteins such as argonaute2, is a suitable and convenient sample for handling because of its stability. Based on these findings, this study planned to pursue the possibility that circulating miRNA could be used for the early diagnosis of diffuse large B-cell lymphoma (DLBCL). Materials and Methods: This study was performed with the permission of our IRB. Expression levels of mature miRNA (both the 5p and 3p strands) were evaluated using different types of materials, namely serum, exosome-enriched serum, and formalin-fixed paraffin-embedded (FFPE) tissue. Serum samples were obtained from patients with newly diagnosed DLBCL (n=33) or healthy volunteers (n=22) at our institution between 2012 and 2014. The exosome-enriched samples were obtained from serum using a total exosome isolation reagent (Invitrogen, CA). The FFPE biopsy samples were obtained from DLBCL lesions, mainly from lymph nodes (n=22), or from reactive hyperplastic lymph nodes (n=6). Based on the results of previous reports, ten miRNAs (the 5p and 3p strands of miR-15a, miR-21, miR-155, miR-181a, and miR-210) were selected as candidate biomarkers. Expression levels of miRNA were analyzed by the quantitative Real-Time PCR method, and were normalized to hsa-miR-24-3p. Diagnostic accuracy was evaluated using receiver operating characteristics (ROC) curve analysis. Results and Discussion: In serum samples, the expression levels of hsa-miR-15a-3p, hsa-miR-21-5p, hsa-miR-181a-5p, and hsa-miR-210-5p were significantly different between DLBCL patients and healthy volunteers (p<0.05). ROC curve analysis revealed that hsa-miR-15a-3p and hsa-miR-21-5p were valuable biomarkers for differentiating patients with DLBCL from healthy volunteers with an area under the ROC curve (AUC) of 0.676 (p=0.029) and 0.711 (p=0.009), respectively. However, substantial percentages of false-positive and false-negative samples were also observed. To improve diagnostic accuracy, we next analyzed the expression levels of miRNAs in exosome-enriched serum samples. Among the candidate miRNAs, expression levels of hsa-miR-15a-3p, hsa-miR-21-5p, and hsa-miR-181a-5p were significantly different between DLBCL and healthy volunteer in exosome-enriched serum samples (p<0.05). ROC curve analysis revealed that hsa-miR-15a-3p, hsa-miR-21-5p, and hsa-miR-181a-5p were valuable biomarkers with AUCs of 0.714 (p=0.033), 0.779 (p=0.001), and 0.672 (p=0.047), respectively. Contrary to these results, expression levels of these miRNAs in FFPE were not significantly different between DLBCL and reactive lymph nodes. We thus consider that some miRNAs in serum or exosome-enriched serum might be useful in the differential diagnosis of DLBCL. These miRNAs seem to be produced outside of the lymphoma tissue. To use miRNAs as an accurate and sensitive diagnostic biomarker, it is necessary to first identify lymphoma cell-derived miRNA in blood. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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Significant difference of c-type lectin-like receptor 2 between colorectal cancer and polyp subgroups

Cancer Biomarkers ◽

10.3233/cbm-200734 ◽

2021 ◽

pp. 1-7

Author(s):

Meng-Lin Zhang ◽

Wen-Juan Huang ◽

Chen-Xi Yue ◽

Ming-Ming Li ◽

Na Li ◽

...

Keyword(s):

Colorectal Cancer ◽

Hyperplastic Polyp ◽

Colorectal Polyps ◽

Curve Analysis ◽

Enzyme Linked Immunosorbent Assay ◽

Sessile Serrated Adenoma ◽

Roc Curve Analysis ◽

Serrated Adenoma ◽

Node Metastasis ◽

Significant Difference

BACKGROUND: Platelets play a key role in tumor progression and metastasis. C-type lectin-like receptor 2 (CLEC-2) is the receptor expressed on platelets and the marker of platelet activation. OBJECTIVE: This study aims to determine whether soluble CLEC-2 levels differ between patients with benign colorectal polyps and those with colorectal cancer (CRC). METHODS: We measured plasma soluble CLEC-2 by enzyme-linked immunosorbent assay in 150 patients with colorectal polyps, 150 CRC patients without metastasis, 150 CRC liver metastasis, and 150 control subjects. RESULTS: The CRC patients had higher soluble CLEC-2 levels than patients with colorectal polyps (p< 0.001). Moreover, CRC patients with liver metastases displayed higher CLEC-2 levels than those in CRC patients without metastases (p< 0.001). In the CRC patients, CLEC-2 levels were correlated with lymph node metastasis and advanced stage. In the patients with polyps, there was a significant difference in CLEC-2 levels among patients with hyperplastic polyp, sessile serrated adenoma, and traditional serrated adenoma (p< 0.001). The ROC curve analysis revealed CLEC-2 had an optimal sensitivity of 77.3% and specificity of 94.6% for the screening of CRC, and sensitivity of 71.0% and specificity of 76.7% for the differential diagnosis of colorectal polyps and CRC. CONCLUSIONS: CRC patients have higher CLEC-2 levels than patients with colorectal polyps and healthy controls. Moreover, there is a significant difference in CLEC-2 levels among polyp subtypes. Further research is warranted.

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Tumor-Educated Platelet miR-18a-3p as a Novel Liquid-Biopsy Biomarker for Early Diagnosis and Chemotherapy Efficacy Monitoring in Nasopharyngeal Carcinoma

Frontiers in Oncology ◽

10.3389/fonc.2021.736412 ◽

2021 ◽

Vol 11 ◽

Author(s):

Kaiyu Sun ◽

Hui Wang ◽

Xianqun Xu ◽

Xiuqi Wei ◽

Jingyu Su ◽

...

Keyword(s):

Nasopharyngeal Carcinoma ◽

Early Diagnosis ◽

Roc Curve ◽

Liquid Biopsy ◽

Area Under The Curve ◽

Curve Analysis ◽

Clinical Value ◽

Roc Curve Analysis ◽

Expression Levels ◽

Chemotherapy Efficacy

AimsTo evaluate the value of tumor-educated platelet (TEP) miR-18a-3p in the early diagnosis and chemotherapy efficacy monitoring of nasopharyngeal carcinoma (NPC).MethodsExpression levels of miR-18a-3p in platelets and plasma were detected by relative quantitative real-time PCR in NPC patients (n=54) and normal subjects (n=36). Diagnostic values of TEP miR-18a-3p for NPC was assessed by receiver operating characteristic (ROC) curve analysis. Follow up study was carried out to observe the dynamic changes of TEP miR-18a-3p with chemotherapy on 3 NPC patients.ResultsThe expression levels of TEP miR-18a-3p in NPC patients were significantly higher than that in healthy controls (p < 0.0001). ROC curve analysis showed that the area under the curve (AUC) value was 0.841, the sensitivity and specificity for the diagnosis of NPC were 87% and 72.7%. No correlation was found between expression levels of TEP miR-18a-3p and patients’ clinical parameters and their NPC tumor-node-metastasis (TNM) stage. The positive rate of TEP miR-18a-3p and EBV DNA for NPC diagnosis were 85.4% and 66.7%. TEP miR-18a-3p expression were down-regulated after 77.8% (7 of 9) of chemotherapy, and in 66.7% (2 of 3) patients, TEP miR-18a-3p levels decreased after 3 cycles of chemotherapy.ConclusionThe expression levels of TEP miR-18a-3p are upregulated in NPC and have a high probability to downregulated after chemotherapy, indicating a significant clinical value. TEP miR-18a-3p might serve as a novel type of liquid-biopsy biomarker for early diagnosis and chemotherapy efficacy monitoring in NPC.

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Evaluation of Red Cell Distribution Width to Lymphocyte Ratio as Potential Biomarker for Detection of Colorectal Cancer

BioMed Research International ◽

10.1155/2019/9852782 ◽

2019 ◽

Vol 2019 ◽

pp. 1-7

Author(s):

Jiahao Huang ◽

Yang Zhao ◽

Lin Liao ◽

Shun Liu ◽

Shaolong Lu ◽

...

Keyword(s):

Colorectal Cancer ◽

Colorectal Polyps ◽

Red Cell Distribution Width ◽

Red Cell ◽

Cell Distribution ◽

Roc Curve Analysis ◽

Distribution Width ◽

Lymphocyte Ratio ◽

Potential Biomarker

Background and Aim. Colorectal cancer (CRC) is the third most lethal cancer globally. This study sought to determine the feasibility of using red cell distribution width-to-lymphocyte ratio (RLR) as a tool to facilitate CRC detection. Methods. Seventy-eight healthy controls, 162 patients diagnosed with CRC, and 94 patients with colorectal polyps (CP) from June 2017 to October 2018 were retrospectively reviewed. Clinical data were obtained to analyze preoperative RLR level, and receiver operating characteristic (ROC) curve analysis was performed to estimate the potential role of RLR as a CRC biomarker. Results. RLR was higher in patients with CRC than in healthy participants (P < 0.05). ROC analysis indicated that combined detection of RLR and CEA appears to be a more effective marker to distinguish among controls, CP, and CRC patients, yielding 56% sensitivity and 90% specificity. RLR levels were significantly greater in those who had more advanced TNM stages (P < 0.05) and patients with distant metastasis stages (P < 0.05). Conclusions. RLR might serve as a potential biomarker for CRC diagnosis.

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Circulating lncRNA DANCR as a potential auxillary biomarker for the diagnosis and prognostic prediction of colorectal cancer

Bioscience Reports ◽

10.1042/bsr20191481 ◽

2020 ◽

Vol 40 (3) ◽

Author(s):

Xianjuan Shen ◽

Yajing Xue ◽

Hui Cong ◽

Xudong Wang ◽

Zhiwei Fan ◽

...

Keyword(s):

Colorectal Cancer ◽

Expression Profiles ◽

Simultaneous Detection ◽

Area Under The Curve ◽

Diagnostic Value ◽

Colorectal Polyp ◽

Colorectal Polyps ◽

Diagnostic Efficiency ◽

Potential Biomarker ◽

Pre Treatment

Abstract Studies have shown that long non-coding RNAs (lncRNAs) play vital roles in the development of cancer, including colorectal cancer (CRC). Our purpose is to validate the diagnostic value of serum differentiation antagonizing non-protein coding RNA (DANCR) in CRC by focusing on its expression and clinical application. lncRNA expression profiles of CRC patients were obtained and analyzed by repurposing the publically available microarray data. Tissue or serum specimens were obtained from 40 patients with primary CRC, 10 patients with recurrent CRC, 40 patients with colorectal polyps, and 40 healthy controls. It was found that DANCR level in the CRC tissue and serum was significantly increased, and serum DANCR expression was decreased in post-operative patients as compared with that in pre-treatment patients and recurrent patients. In addition, serum DANCR expression was significantly correlated with different TNM stages. Correlation analysis of DANCR and other diagnostic indicators showed that the serum DANCR expression level was significantly correlated with CA199 but not with CEA in CRC patients. As for diagnostic efficiency by ROC analysis, the area under the curve (AUC) of serum DANCR was higher than that of CEA and CA199 in CRC group vs. colorectal polyp group. Simultaneous detection of DANCR, CEA and CA199 yielded the highest sensitivity and AUC as compared with either of them alone. Taken together, serum DANCR was up-regulated in CRC patients and high expression of DANCR may prove to be a potential biomarker for the diagnosis of CRC.

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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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