A Preoperative Scoring System to Predict Carcinoma in Patients with Gallbladder Polyps

2019 ◽  
Vol 37 (4) ◽  
pp. 275-281
Author(s):  
Shinji Onda ◽  
Yasuro Futagawa ◽  
Takeshi Gocho ◽  
Hiroaki Shiba ◽  
Yuichi Ishida ◽  
...  

Introduction: A preoperative scoring system to predict carcinoma in patients with gallbladder polyps (GBPs). Methods: Preoperative parameters of patients with GBPs who underwent cholecystectomies were used to construct a scoring system to ascertain the risk of malignancy (reference group). The scoring system developed from this approach was applied to the validation group. Results: In the reference group, 11.5% of patients had carcinomas, in whom the median age was 68 years and the polyp size was 16.9 mm. According to the univariate analysis, the significant factors for carcinoma were age ≥65 years, the presence of gallstones, polyp size ≥13 mm, solitary polyp, and sessile polyp. Age ≥65 years and polyp size ≥13 mm were significant factors according to the multivariate analysis. From these results, we developed a preoperative scoring system to predict carcinoma. The patients were divided into 1 of 2 groups: low-risk and high-risk and their malignancy rates were 4.1 and 61.1% respectively (p < 0.001). In the validation group, the malignancy rate was higher for those in the high-risk group (p = 0.016). Conclusions: The proposed preoperative scoring system based on simple clinical variables appears to be useful for predicting malignancy in patients with GBPs.

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3340-3340
Author(s):  
Piyanuch Kongtim ◽  
Uday R Popat ◽  
Marcos de Lima ◽  
Guillermo Garcia-Manero ◽  
Elias J. Jabbour ◽  
...  

Abstract MDS is a heterogeneous group of hematopoietic stem cell disorders. Various prognostic models have been established to categorize patients with MDS including the International Prognostic Scoring System (IPSS), the Revised-IPSS (r-IPSS) and MDACC Scoring System. In this analysis, we compared those three classification schemas for their outcome predictability after HSCT. We analyzed 291 MDS patients with a median age of 55 (interquartile range (IQR) 47-60.7 years) who underwent HSCT between January 2001 and December 2011. Histology by WHO classification included RA/RARS 48 (16.5%), RCMD 28 (9.6%), RAEB-1 59 (20.2%), RAEB-2 63 (21.7%), MDS unclassified 67 (23%), and CMML 26 (9%). Of 291, 117 patients (40.2%) had therapy related MDS (t-MDS). Conditioning regimen was myeloablative in 201 patients (69.1%) and reduced intensity in 90 patients (30.9%). Donors were matched related (MRD), matched unrelated (MUD), mismatched (MMD) in 131 (45%), 114 (39.2%) and 46 (15.8%) patients respectively. Risk categorization was performed by IPSS, r-IPSS and MDACC scoring systems at the time of diagnosis. IPSS, r-IPSS and MDACC scoring systems could be assessed in 239 (82.1%), 241 (82.8%) and 231 (79.4%) patients respectively. The median follow up time of 109 survivors was 45 months. The median time from diagnosis to HSCT was 7.3 months (IQR 4.6-12.4 months). Three-year overall survival (OS) was 38.1% (95%CI 32.3-43.9) with 3-year event free survival (EFS) of 34.2% (95%CI 28.4-40). Cumulative relapse incidence (RI) at 3-year was 28.8% (95%CI 23.3-34.5). Cumulative incidence of treatment related mortality (TRM) at 3 year post-transplant was 27.9% (95%CI 22.6-33.6). In univariate analysis, IPSS and r-IPSS were able to differentiate 2 risk groups for OS and EFS. High risk group per IPSS and very high risk group per r-IPSS had lower OS with hazard ratio (HR) of 2.4 to 3.1, lower EFS with HR of 2.2 to 2.7. While IPSS could not predict RI, very high risk group by r-IPSS had higher RI with HR of 3.6 compared with lower risk groups. Both IPSS and r-IPSS did not identify different risk groups for TRM. On the other hand, MDACC scoring system was able to identify 4 different risk groups for EFS and OS in univariate analysis. Three-year OS was 68%, 46.1%, 30.3% and 11.4% for patients with MDACC risk score of 0-4, 5-6, 7-8 and ≥9 respectively (p<0.001) (figure1). Three-year EFS with MDACC risk score of 0-4, 5-6, 7-8 and ≥9 was 61.7%, 40.8%, 28.1% and 7.4% respectively (p<0.001). For RI and TRM, only MDACC risk scores of ≥9 was associated with poor outcomes with 3-year RI of 38.9% and 3-year TRM of 41.7% compared with 13.3% and 15.5% in risk scores of 0-4 (p=0.01 and p=0.01 respectively). In multivariate analysis, MDACC score, matched unrelated and mismatched donors were associated with inferior OS (table1). As a summary, MDACC risk scoring system for MDS better differentiates prognostic groups than IPSS or r-IPSS. Considering the high frequency of t-MDS among transplanted MDS patients, we propose that MDACC scoring system should be used for prognostic classification for hematopoietic transplantation. Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Junxiong Yin ◽  
Chuanyong Yu ◽  
Hongxing Liu ◽  
Mingyang Du ◽  
Feng Sun ◽  
...  

Abstract Objective: To establish a predictive model of carotid vulnerable plaque through systematic screening of high-risk population for stroke.Patients and methods: All community residents who participated in the screening of stroke high-risk population by the China National Stroke Screening and Prevention Project (CNSSPP). A total of 19 risk factors were analyzed. Individuals were randomly divided into Derivation Set group and Validation Set group. According to carotid ultrasonography, the derivation set group patients were divided into instability plaque group and non-instability plaque group. Univariate and multivariable logistic regression were taken for risk factors. A predictive model scoring system were established by the coefficient. The AUC value of both derivation and validation set group were used to verify the effectiveness of the model.Results: A total of 2841 high-risk stroke patients were enrolled in this study, 266 (9.4%) patients were found instability plaque. According to the results of Doppler ultrasound, Derivation Set group were divided into instability plaque group (174 cases) and non-instability plaque group (1720 cases). The independent risk factors for carotid instability plaque were: male (OR 1.966, 95%CI 1.406-2.749),older age (50-59, OR 6.012, 95%CI 1.410-25.629; 60-69, OR 13.915, 95%CI 3.381-57.267;≥70, OR 31.267, 95%CI 7.472-130.83) , married(OR 1.780, 95%CI 1.186-2.672),LDL-c(OR 2.015, 95%CI 1.443-2.814), and HDL-C(OR 2.130, 95%CI 1.360-3.338). A predictive scoring system was created, range 0-10. The cut-off value of prediction model score is 6.5. The AUC value of derivation and validation set group were 0.738 and 0.737.Conclusion:For a high risk group of stroke individual, We provide a model that could distinguishing those who have a high probability of having carotid instability plaque. When resident’s predictive model score exceeds 6.5, the incidence of carotid instability plaque is high, carotid artery Doppler ultrasound would be checked immediately. This model can be helpful in the primary prevention of stroke.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 735-735
Author(s):  
Alex Klimowicz ◽  
Paola Neri ◽  
Adnan Mansoor ◽  
Anthony Magliocco ◽  
Douglas A. Stewart ◽  
...  

Abstract Background: Autologous stem cell transplantation (ASCT) has dramatically improved the survival of myeloma patients; however, this approach has significant toxicities and nearly 25% of MM patients progress within one year from their transplant. While gene expression profiling-based (GEP) molecular classification has permitted the identification of unresponsive high-risk patients, these approaches have proven too costly and complex to translate into clinical practice. Less expensive and more readily available methods are needed clinically to identify, at the time of diagnosis, MM patients who may benefit from more aggressive or experimental therapies. While protein-based tissue arrays offer such alternative, biases introduced by the “observer-dependent” scoring methods have limited their wide applicability. Methods: We have designed a simplified, fully automated and quantitative protein expression based-classification system that will allow us to accurately predict survival post ASCT in a cost effective and “observer-independent” manner. We constructed tissue microarrays using diagnostic bone marrow biopsies of 82 newly diagnosed MM patients uniformly treated with a dexamethasone based induction regimen and frontline ASCT. Using the HistoRx PM-2000 quantitative immunohistochemistry platform, coupled with the AQUA analysis software, we have examined the expression of the following proteins: FGFR3 which is associated with t(4;14), cyclin B2 and Ki-67 which are associated with cellular proliferation, TACI which is associated with maf deregulation, and phospho-Y705 STAT3 and p65NF-κB, which are associated with myeloma cell growth and survival. For FGFR3, patients were divided into FGFR3 positive and negative groups based on hierarchical clustering of their AQUA score. For all other proteins examined, based on AQUA scores, the top quartiles or quintiles of patients were classified as high expression groups. Based on the univariate analysis, patients were further classified as “High Risk” MM if they had been identified as high expressers of either TACI, p65NF-κB or FGFR3. The Kaplan-Meier method was used to estimate time to progression and overall survival. Multivariate analysis was performed using the Cox regression method. Results: 82 patients were included in this study. In univariate analysis, FGFR3 and p65NF-κB expression were associated with significantly shorter TTP (p=0.018 and p=0.009) but not OS (p=0.365 and p=0.104). TACI expression levels predicted for worse OS (p=0.039) but not TTP (p=0.384). High expression of Ki67 or phospho-Y705 STAT3 did not affect survival. Of the 82 cases, 67 were included in the multivariate analysis since they had AQUA scores available for all markers: 26 (38.8%) were considered as High Risk by their AQUA scores and had significantly shorter TTP (p=0.014) and OS (p=0.006) compared to the Low Risk group. The median TTP for the Low and High Risk groups was 2.9 years and 1.9 years, respectively. The 5-years estimates for OS were 60.6% for the High Risk group versus 83.5% for the Low Risk group. Multivariate analysis was performed using del13q and our risk group classification as variables. Both our risk group classification and del13q were independent predictors for TTP, having 2.4 and 2.3 greater risk of relapse, respectively. Our risk group classification was the only independent predictor of OS with the High Risk group having a 5.9 fold greater risk of death. Conclusions: We have found that the expression of FGFR3, TACI, and p65NF-κB, in an automated and fully quantitative tissue-based array, is a powerful predictor of survival post-ASCT in MM and eliminates the “observer-dependent” bias of scoring TMAs. A validation of this “High Risk” TMA based signature is currently underway in larger and independent cohorts. Figure Figure


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 659-659 ◽  
Author(s):  
Vikram Mathews ◽  
Kavitha M Lakshmi ◽  
Auro Viswabandya ◽  
Biju George ◽  
Mammen Chandy ◽  
...  

Abstract Abstract 659 An allogeneic stem cell transplant (SCT) remains the only curative option for patients with β thalassemia major (TM). Conventional risk stratification requires a liver biopsy to be done prior to transplant, has inadequate chelation therapy as a risk factor, which is poorly defined with currently available therapies and results in a large heterogeneous high risk group. We have previously shown that survival can be significantly different in subsets within this high risk group (BBMT 2007;13:889) From October 1991 to December 2008, 271 patients with TM underwent a SCT at our center. The median age was 7 years (range: 2-24) and there were 175 males (64.6%). 133 (49%) were conventional Class III patients. Myelo-ablative conditioning regimen in the majority was busulphan (oral) and cyclophosphamide with or without anti lymphocyte globulin. GVHD prophylaxis was cylcosporine and short course methotrexate. Two hundred and sixty six (98%) received a bone marrow graft. At a median follow up of 41 months (range: 0-209) the 5-year Kaplan-Meir estimate of overall survival (OS) and event free survival (EFS) was 70.79±2.9% and 63.75±3% respectively. On a univariate analysis, factors associated with an adverse impact on EFS were patients' age, donor age, liver size, serum AST level, serum ferritin level, number of packed cell transfusions received, spleen size and splenectomy. On a multivariate analysis only liver size (both 2-5 cm and >5 cm) retained its significant adverse impact. The remaining parameters that were significant on a univariate analysis as a continuous variable were further evaluated after dividing them into quartiles. On a cox-regression analysis of the quartiles only age retained significance in all quartiles while the rest were significant only in the highest quartile. For the latter, the cut offs of the highest quartile was used to dichotomize the cohort into two groups for each parameter and a score given proportional to relative risk (Table 1). The total score could therefore range form 0 to 13 for each patient. On a multivariate analysis none of these generated values, including age in the different quartiles, had an independent significant impact on EFS. They were still retained in the scoring system because of the established biological relevance of these parameters on transplant outcomes. Splenectomy was excluded in view of the small number of cases. Kaplan-Meir estimates of EFS were generated for each of these scores and clustered into groups. Three groups could be recognized; Group A with a score <3.5 (n=125 [46%], Group B 3.5-7.5 (n=87 [32%]) and Group C >7.5 (n=59 [22%]). Figure 1 illustrates the Kaplan-Meir estimates of EFS and cumulative risk of rejection between these groups which were significantly different. There were 133 (49%) patients in this cohort who belonged to the conventional Lucarelli Class III subset. Of these, using the current risk stratification 18(13%) would be in Group A, 58(44%) in Group B and 57(43%) in Group C. The proposed risk stratification does not require a liver biopsy, has a good distribution of cases in the defined groups and better identifies a high risk subset of patients, than the conventional risk stratification system. This high risk subset may need innovative strategies for improving outcomes following an allogeneic SCT. The proposed risk stratification system will need to be validated prospectively.Table 1Variables Score011.524Liver size (cm)<22-5>5Age (years)<55-77-11>11Packed cell transfusions (units)<90>90Serum AST (IU/Lt)<75>75Serum Ferritin (ng/ml)<3500>3500Spleen size (cm)<3.0>3.0 Disclosures: No relevant conflicts of interest to declare.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e20647-e20647
Author(s):  
Martina Torchio ◽  
Benvenuto Franceschetti ◽  
Carla Cavali ◽  
Sonia Zanirato ◽  
Angelo Olgiati ◽  
...  

e20647 Background: Venous thromboembolism (VTE), is a negative predictor of survival in pts with advanced cancer. International guidelines don’t recommend routine prophlaxis but suggest to consider pts, undergoing chemotherapy (CT), with high risk of VTE. Many clinical risk factors for cancer-associated VTE have been evaluated in a 5 parameter-based (body mass index, platelet and leucocyte counts, hemoglobin value and tumor site) scoring system, the Khorana score, utilized to indicate a prophylactic approach. We prospectively applied this score in cancer outpts beginning CT and an implementation based on 6 addictional factors analysis (sex, age, central venous catheter, CT-agents, antiangiogenetic drugs, erithropoiesis stimulating agent) to evaluate their impact in pts assignment into risk groups. Methods: We studied adult pts, followed at our Department from August 2011 to December 2012, with advanced cancers (breast, NSCLC, colorectal, pancreatic/gastric, urogenital, LNH, Hodgkin's disease, HD, and MM), receiving a first or second line standard CT. We stratified pts into three risk groups (score 0= low; score 1-2=intermediate; score 3-4-5=high) considering both the Khorana scoring system and its implementation. Results: We analyzed 169 pts (103F/66M, median age 62.3, range 35-80 yrs), pt population included: 38 breast, 32 colorectal, 31 LNH, HD and MM, 27 urogenital, 22 NSCLC and 19 pancreatic/gastric. With the Khorana score 49 pts were assigned to the low risk, 87 pts to the intermediate risk (57 with score=1, 28 with score=2), 16 pts (9.4%) to the high risk group (9 with score=3, 4 with score=4, 3 with score=5). When we considered 11 parameters 37 pts (21.8%) were assigned to the high risk group. Conclusions: A more comprehensive quantification of VTE risk, also considering new independent factors, is mandatory for a correct decision making of an antithrombotic-prophylactic approach.


2020 ◽  
Vol 33 (5) ◽  
pp. 674-679
Author(s):  
Feifei Zhou ◽  
Shuyang Li ◽  
Yanbin Zhao ◽  
Yilong Zhang ◽  
Kevin L. Ju ◽  
...  

OBJECTIVEThe authors aimed to identify factors that may be useful for quantifying the amount of degenerative change in preoperative patients to identify ideal candidates for cervical disc replacement (CDR) in patients with a minimum of 10 years of follow-up data.METHODSDuring the period from December 2003 to August 2008, 54 patients underwent CDR with a Bryan cervical disc prosthesis performed by the same group of surgeons, and all of the patients in this group with at least 10 years of follow-up data were enrolled in this retrospective analysis of cases. Postoperative bone formation was graded in radiographic images by using the McAfee classification for heterotopic ossification. Preoperative degeneration was evaluated in radiographs based on a quantitative scoring system. After univariate analysis, the authors performed multifactor logistic regression analysis to identify significant factors. To determine the cutoff points for the significant factors, a receiver operating characteristic (ROC) curve analysis was conducted.RESULTSStudy patients had a mean age of 43.6 years and an average follow-up period of 120.3 months. The patients as a group had a 68.2% overall incidence of bone formation. Based on univariate analysis results, data for patient sex, disc height, and the presence of anterior osteophytes and endplate sclerosis were included in the multivariate analysis. According to the analysis results, the identified independent risk factors for postoperative bone formation included disc height, the presence of anterior osteophytes, and endplate sclerosis, and according to a quantitative scoring system for degeneration of the cervical spine based on these variables, the ROC curve indicated that the optimal cutoff scores for these risk factors were 0.5, 1.5, and 1.5, respectively.CONCLUSIONSAmong the patients who were followed up for at least 10 years after CDR, the incidence of postoperative bone formation was relatively high. The study results indicate that the degree of degeneration in the target level before surgery has a positive correlation with the incidence of postoperative ossification. Rigorous indication criteria for postoperative ossification should be applied in patients for whom CDR may be a treatment option.


2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 499-499
Author(s):  
Junjie Peng ◽  
Yaqi Li ◽  
Yang Feng

499 Background: The type, abundance, and location of tumor-infiltrating lymphocytes (TILs) have been associated with prognosis in colorectal cancer. The objective of this study was to assess the prognostic role of TILs and develop a nomogram for accurate prognostication of stage II colorectal cancer. Methods: Immunohistochemistry was conducted to assess the densities of intraepithelial and stromal CD3+, CD8+, CD45RO+ and FOXP3+ TILs, and to estimate PD-L1 expression in tumor cells for 168 patients with stage II colorectal cancer. The prognostic roles of these features were evaluated using COX regression model, and nomograms were established to stratify patients into low and high-risk groups and compare the benefit from adjuvant chemotherapy. Results: In univariate analysis, patients with high intraepithelial or stromal CD3+, CD8+, CD45RO+ and FOXP3+ TILs were associated significantly with better relapse-free survival (RFS) and overall survival (OS), except for stromal CD45RO+ TILs, whereas PD-L1 expression wasn't associated with RFS or OS. In multivariate analysis, patients with high intraepithelial CD3+ and stromal FOXP3+ TILs were associated with better RFS (p < 0.001 and p = 0.032, respectively), while only stromal FOXP3+ TILs was an independent prognostic factor for OS (p = 0.031). The nomograms were well calibrated and showed a c-index of 0.751 and 0.757 for RFS and OS, respectively. After stratifying into low and high-risk groups, the high-risk group exhibited a better OS from adjuvant chemotherapy (3-year OS of 81.9% v 34.3%, p = 0.006). Conclusions: These results may help improve the prognostication of stage II colorectal cancer and identify a high-risk subset of patients who appeared to benefit from adjuvant chemotherapy.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2776-2776
Author(s):  
Andrea Kuendgen ◽  
Corinna Strupp ◽  
Kathrin Nachtkamp ◽  
Barbara Hildebrandt ◽  
Rainer Haas ◽  
...  

Abstract Abstract 2776 Poster Board II-752 Introduction: We wondered whether prognostic factors have similar relevance in different subpopulations of MDS patients. Methods: Our analysis was based on patients with primary, untreated MDS, including 181 RA, 169 RARS, 649 RCMD, 322 RSCMD, 79 5q-syndromes, 290 RAEB I, 324 RAEB II, 266 CMML I, 64 CMML II, and 209 RAEB-T. The impact of prognostic variables in univariate analysis was compared in subpopulations of patients defined by medullary blast count, namely <5%, ≥5% (table), ≥10%, and ≥20% (not shown), as well as 3 subpopulations defined by the cytogenetic risk groups according to IPSS (table). Multivariate analysis of prognostic factors was performed for cytogenetically defined subgroups and WHO-subtypes. Results: Strong prognostic factors in all blast-defined subgroups were hemoglobin, transfusion dependency, increased WBC, age, and LDH. However, all variables became less important in patients with ≥20% blasts (RAEB-T) and increased WBC was rare. Platelet count and cytogenetic risk groups were relevant in patients with <5%, ≥5%, and ≥10% marrow blasts, but not in RAEB-T. Marrow fibrosis was important in patients with <5% or ≥5% blasts, but not ≥10%. Gender and ANC <1000/μl were significant only in patients with a normal blast count. Furthermore, we looked for the effect of the karyotypes, relevant for IPSS scoring (-Y, del5q, del20q, others, del7q/-7, complex), and found a comparable influence on survival, irrespective whether patients had < or ≥5% marrow blasts. In subpopulations defined by cytogenetic risk groups, several prognostic factors were highly significant in univariate analysis, if patients had a good risk karyotype. These included hemoglobin, sex, age, LDH, increased WBC, transfusion need, and blast count (cut-offs 5%, 10%, and 20%). In the intermediate risk group only LDH, platelets, WBC, and blasts were significant prognostic factors, while in the high risk group only platelets and blast count remained significant. Multivariate analysis was performed for the cytogenetic risk groups and for subgroups defined by WHO subtypes. The analysis considered blast count (</≥5%), hemoglobin, platelets, ANC, cytogenetic risk group, transfusion need, sex, and age. In the subgroup including RA, RARS, and 5q-syndrome, LDH, transfusion, and age in descending order were independent prognostic parameters. In the RCMD+RSCMD group, karyotype, age, transfusion, and platelets were relevant factors. In the RAEB I+II subgroup, the order was hemoglobin, karyotype, age, and platelets, while in CMML I+II only hemoglobin had independent influence. In RAEB-T none of the factors examined was of independent significance. Looking at cytogenetic risk groups, in the favorable group, several variables independently influenced survival, namely transfusion, blasts, age, sex, and LDH (in this order). Interestingly, in the intermediate and high risk group, only blast count and platelets retained a significant impact. Conclusion: Univariate analysis showed prognostic factors (except ANC) included in IPSS and WPSS are relevant in most subgroups defined by marrow blast percentage. However, they all lose their impact if the blast count exceeds 20%. Regarding cytogenetic risk groups, several prognostic factors lose their influence already in the intermediate risk group. This underscores the prognostic importance of MDS cytogenetics. Multivariate analysis showed MDS subpopulations defined by WHO types also differ with regard to prognostic factors. In particular, CMML and RAEB-T stand out against the other MDS types. Disclosures: Kuendgen: Celgene: Honoraria. Hildebrandt:Celgene: Research Funding. Gattermann:Novartis: Honoraria, Participation in Advisory Boards on deferasirox clinical trials. Germing:Novartis, Celgene: Honoraria, Research Funding.


2019 ◽  
Vol 4 (1) ◽  
pp. e000367 ◽  
Author(s):  
Patrick F Walker ◽  
Seth Schobel ◽  
Joseph D Caruso ◽  
Carlos J Rodriguez ◽  
Matthew J Bradley ◽  
...  

IntroductionClinical decision support tools capable of predicting which patients are at highest risk for venous thromboembolism (VTE) can assist in guiding surveillance and prophylaxis decisions. The Trauma Embolic Scoring System (TESS) has been shown to model VTE risk in civilian trauma patients. No such support tools have yet been described in combat casualties, who have a high incidence of VTE. The purpose of this study was to evaluate the utility of TESS in predicting VTE in military trauma patients.MethodsA retrospective cohort study of 549 combat casualties from October 2010 to November 2012 admitted to a military treatment facility in the USA was performed. TESS scores were calculated through data obtained from the Department of Defense Trauma Registry and chart reviews. Univariate analysis and multivariate logistic regression were performed to evaluate risk factors for VTE. Receiver operating characteristic (ROC) curve analysis of TESS in military trauma patients was also performed.ResultsThe incidence of VTE was 21.7% (119/549). The median TESS for patients without VTE was 8 (IQR 4–9), and the median TESS for those with VTE was 10 (IQR 9–11). On multivariate analysis, Injury Severity Score (ISS) (OR 1.03, p=0.007), ventilator days (OR 1.05, p=0.02), and administration of tranexamic acid (TXA) (OR 1.89, p=0.03) were found to be independent risk factors for development of VTE. On ROC analysis, an optimal high-risk cut-off value for TESS was ≥7 with a sensitivity of 0.92 and a specificity of 0.53 (area under the curve 0.76, 95% CI 0.72 to 0.80, p<0.0001).ConclusionsWhen used to predict VTE in military trauma, TESS shows moderate discrimination and is well calibrated. An optimal high-risk cut-off value of ≥7 demonstrates high sensitivity in predicting VTE. In addition to ISS and ventilator days, TXA administration is an independent risk factor for VTE development.Level of evidenceLevel III.


2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Mi Zhou ◽  
Weihua Shao ◽  
Haiyun Dai ◽  
Xin Zhu

Objective. To construct a predictive signature based on autophagy-associated lncRNAs for predicting prognosis in lung adenocarcinoma (LUAD). Materials and Methods. Differentially expressed autophagy genes (DEAGs) and differentially expressed lncRNAs (DElncRNAs) were screened between normal and LUAD samples at thresholds of ∣log2Fold Change∣>1 and P value < 0.05. Univariate Cox regression analysis was conducted to identify overall survival- (OS-) associated DElncRNAs. The total cohort was randomly divided into a training group (n=229) and a validation group (n=228) at a ratio of 1 : 1. Multivariate Cox regression analysis was used to build prognostic models in the training group that were further validated by the area under curve (AUC) values of the receiver operating characteristic (ROC) curves in both the validation and total cohorts. Results. A total of 30 DEAGs and 2997 DElncRNAs were identified between 497 LUAD tissues and 54 normal tissues; however, only 1183 DElncRNAs were related to the 30 DEAGs. A signature consisting of 13 DElncRNAs was built to predict OS in lung adenocarcinoma, and the survival analysis indicated a significant OS advantage of the low-risk group over the high-risk group in the training group, with a 5-year OS AUC of 0.854. In the validation group, survival analysis also indicated a significantly favorable OS for the low-risk group over the high-risk group, with a 5-year OS AUC of 0.737. Univariate and multivariate Cox regression analyses indicated that only positive surgical margin (vs negative surgical margin) and high-risk group (vs low-risk group) based on the predictive signature were independent risk factors predictive of overall mortality in LUAD. Conclusions. This study investigated the association between autophagy-associated lncRNAs and prognosis in LUAD and built a robust predictive signature of 13 lncRNAs to predict OS.


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