scholarly journals Association of ABO Blood Types and Clinicopathological Features of Prostate Cancer

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Fang-Ming Wang ◽  
Yan Zhang ◽  
Gui-Ming Zhang ◽  
Ya-Nan Liu ◽  
Li-Jiang Sun ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Regression Analysis ◽  
High Risk ◽  
Gleason Score ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
High Risk Group ◽  
Blood Type ◽  
Blood Types ◽  
Significant Difference

Purpose. To investigate the association between ABO blood types and clinicopathological characteristics in patients with prostate cancer (PC). Methods. A total of 237 pathologically diagnosed PC patients were enrolled. All patients were classified as low–middle or high-risk group. The correlation of ABO blood types with high-risk PC was determined by univariate and multivariate regression analysis. Results. Data indicated 144 (85.7%) patients were stratified as high risk in the non-O group, while 50 (72.5%) patients in the O group (p=0.025). However, there was no significant difference regarding PSA, Gleason score, stage, or metastasis between O and non-O group (p>0.05). Univariate logistic regression analyses revealed PSA, Gleason score, and blood type non-O were all correlated with high-risk PC (OR = 1.139, p<0.001; OR = 9.465, p<0.001; OR = 2.280, p=0.018, resp.). In the stepwise multivariate regression analysis, the association between blood type non-O and high-risk PC remained significant (OR = 33.066, 95% CI 2.391–457.323, and p=0.009) after adjusting for confounding factors as well as PSA and Gleason score. Conclusion. The present study firstly demonstrated that non-O blood type was at higher risk of aggressive PC compared with O type, suggesting that PC patients with non-O blood type should receive more attention in clinical practice.

The role of pre-biopsy mpMRI in lymph node staging for prostate cancer

2021 ◽  
pp. 039156032110168
Author(s):  
Nassib Abou Heidar ◽  
Robert El-Doueihi ◽  
Ali Merhe ◽  
Paul Ramia ◽  
Gerges Bustros ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Lymph Node ◽  
High Risk ◽  
Gleason Score ◽  
Gold Standard ◽  
Cross Sectional ◽  
Significant Difference ◽  
Cross Sectional Imaging ◽  
Sectional Imaging ◽  
Kappa Agreement

Introduction: Prostate cancer (PCa) staging is an integral part in the management of prostate cancer. The gold standard for diagnosing lymph node invasion is a surgical lymphadenectomy, with no superior imaging modality available at the clinician’s disposal. Our aim in this study is to identify if a pre-biopsy multiparametric MRI (mpMRI) can provide enough information about pelvic lymph nodes in intermediate and high risk PCa patients, and whether it can substitute further cross sectional imaging (CSI) modalities of the abdomen and pelvis in these risk categories. Methods: Patients with intermediate and high risk prostate cancer were collected between January 2015 and June 2019, while excluding patients who did not undergo a pre-biopsy mpMRI or a CSI. Date regarding biopsy result, PSA, MRI results, CSI imaging results were collected. Using Statistical Package for the Social Sciences (SPSS) version 24.0, statistical analysis was conducted using the Cohen’s Kappa agreement for comparison of mpMRI with CSI. McNemar’s test and receiver operator curve (ROC) curve were used for comparison of sensitivity of both tests when comparing to the gold standard of lymphadenectomy. Results: A total of 143 patients fit the inclusion criteria. We further stratified our patients into according to PSA level and Gleason score. Overall, agreement between mpMRI and all CSI was 0.857. When stratifying patients based on Gleason score and PSA, the higher the grade or PSA, the higher agreement between mpMRI and CSI. The sensitivity of mpMRI (73.7%) is similar to CSI (68.4%). When comparing CSI sensitivity to that of mpMRI, no significant difference was present by utilizing the McNemar test and very similar receiver operating characteristic curve. Conclusion: A pre-biopsy mpMRI can potentially substitute further cross sectional imaging in our cohort of patients. However, larger prospective studies are needed to confirm our findings.

scholarly journals Comparison of peripheral nerve block with local infiltration analgesia regarding walking ability after total knee replacement: A retrospective, propensity-score matched-pair cohort study

2020 ◽  
Vol 28 (2) ◽  
pp. 230949902093165
Author(s):  
Taeko Fukuda ◽  
Shinobu Imai ◽  
Shunji Simoda ◽  
Masaya Nakdera ◽  
Hiromasa Horiguchi
Keyword(s):  
Regression Analysis ◽  
Propensity Score ◽  
Total Knee Replacement ◽  
Multivariate Regression ◽  
Peripheral Nerve Block ◽  
Multivariate Regression Analysis ◽  
Walking Ability ◽  
Local Infiltration ◽  
Significant Difference ◽  
Total Knee

Purpose: It is unclear whether perioperative analgesic techniques affect the functional outcome of total knee replacement (TKR). We investigated the effects of peripheral nerve block (PNB) and local infiltration (LI) on walking ability after TKR. Methods: The medical records of 7143 patients who underwent TKR using general anesthesia with PNB or LI techniques were reviewed. Factors affecting independence and/or improvement of walking after surgery were investigated using multivariate regression analysis. To adjust for baseline differences and minimize selection bias for the chosen analgesic technique, patients were matched by propensity scores. Results: The multivariate regression analysis showed that PNB was associated with independence and/or improvement of walking. Of the 7143 patients, 2755 (39%) received PNB analgesia and 4388 (61%) LI analgesia. After the propensity score matching, the analgesic types were not associated with walking ability. Independence reflected by the total score of daily living activities was higher in the PNB group than in the LI group. The PNB group started rehabilitation later but performed rehabilitation for longer in the initial period than the LI group. Consumption levels of fentanyl, pentazocine, and antiemetics were lower in the PNB group than in the LI group. The PNB group had fewer hypertensive episodes during surgery than the LI group. There was no significant difference in total hospitalization costs between the two groups. Conclusions: No significant difference in postoperative walking ability was found between PNB and LI groups. However, PNB offered some advantages over LI. Future detailed investigations to improve TKR surgery are needed.

Validation of a genomic-clinical classifier model for predicting clinical recurrence of patients with localized prostate cancer in a high-risk population.

2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 175-175 ◽  
Author(s):  
Robert B. Jenkins ◽  
Eric J Bergstralh ◽  
Elai Davicioni ◽  
R. Jeffrey Karnes ◽  
Karla V. Ballman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Radical Prostatectomy ◽  
Gleason Score ◽  
Risk Group ◽  
High Risk Group ◽  
High Risk Population ◽  
Clinical Recurrence ◽  
Clinical Variables ◽  
Subset Analysis

175 Background: The efficient delivery of adjuvant and salvage therapy after radical prostatectomy in patients with prostate cancer is hampered by a lack of biomarkers to assess the risk of clinically significant recurrence and progression. Methods: Mayo Clinic Radical Prostatectomy Registry (RP) patient specimens were selected from a case-control cohort with 14 years median follow-up for training and initial validation of an expression biomarker genomic classifier (GC). An independent, blinded case-cohort study of high-risk RP subjects was used to validate GC, comparing the performance of GC to a multivariate logistic regression clinical model (CM) and GC combined with clinical variables (genomic-clinical classifier, GCC) for predicting clinical recurrence (defined as positive bone or CT scan within 5 years after biochemical recurrence). The concordance index (c-index) and Cox model were used to evaluate discrimination and estimate the risk of clinical recurrence. Results: In the training subset (n=359), both GC and GCC had a c-index of 0.90 whereas CM had a c-index of 0.76. In the internal validation set (n=186), GC and GCC had a c-index of 0.76 and 0.75, while CM had a c-index of 0.69. In an independent high-risk study (n=219), GC and GCC had a c-index of 0.77 and 0.76, while CM had a c-index of 0.68. In subset analysis of Gleason score 7 patients within the high-risk group, GC and GCC showed improved discrimination with c-index of 0.78 and 0.76, respectively compared to 0.70 for CM. In the high-risk group, the risk of recurrence by GC model score quartiles at 5 years after RP was estimated at 1%, 5%, 5% and 18%. Conclusions: The GC model shows improved performance over CM in the prediction of clinical recurrence in a high-risk cohort and in subset analysis of Gleason score 7 patients. The addition of clinical variables to the GC model did not significantly contribute to classifier performance in patients with high-risk features. We are further testing the performance of the GC and GCC models and their usefulness in guiding decision-making (e.g., for the adjuvant therapy setting) in additional studies of prostate cancer clinical risk groups.

A biopsy-based genomic classifier to predict biochemical failure after definitive radiation without hormone therapy in a prospective cohort of intermediate risk prostate cancer.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 68-68
Author(s):  
Melvin Chua ◽  
Jure Murgic ◽  
Ali Hosni ◽  
Adriana Salcedo ◽  
Suzanne Kamel-Reid ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Rna Extraction ◽  
Multivariable Analysis ◽  
High Risk Group ◽  
Intermediate Risk ◽  
Image Guided Radiotherapy ◽  
Significant Difference ◽  
Risk Prostate Cancer ◽  
Tumor Involvement

68 Background: Recently, NCCN adopted the Zumsteg-Spratt subclassification to define NCCN favorable and unfavorable intermediate-risk prostate cancer (IR-PCa). NCCN unfavorable disease is recommended to receive combination androgen deprivation therapy (ADT) and radiotherapy. To determine if genomics could help identify a subset who may safely avoid ADT, we evaluated the Decipher genomic classifier (GC) in IR-PCa treated with dose-escalated image-guided radiotherapy (DE-IGRT) alone. Methods: Our cohort comprised of 121 patients with NCCN favorable (N = 49, 40%) and unfavorable (N = 74, 60%) IR-PCa, who received 78 Gy without ADT. Diagnostic needle biopsies with the highest Gleason score (GS) and %tumor involvement were macrodissected for RNA extraction. GC scores were determined from the Decipher prostate cancer classifier assay (GenomeDx Biosciences, San Diego, CA). Primary clinical endpoint was biochemical relapse ([BCR], PSA nadir + 2ng/ml) post-DE-IGRT. We compared association with BCR against known clinicopathologic prognostic indices and the NCCN risk strata. Results: With a median follow up of 7.5y, 24 (19%) patients experienced BCR. Individual clinical indices did not predict BCR-free survival rate (BFS). NCCN risk strata was however associated with a small but significant difference in BFS (5-y 93%, favorable vs 88%, unfavourable, P = 0.046). GC scores stratified 85 (70%), 19 (16%), and 17 (14%) men into low, intermediate, and high risk of recurrence; 5-y BFS were 95%, 89%, and 59%, respectively (P < 0.001). On multivariable analysis, a hazard ratio of 4.71 (95% CI 1.81-12.28, P = 0.0015) for BCR was observed for the GC high risk group compared to low/intermediate; NCCN risk strata and intraductal variant did not achieve significance. Conclusions: In IR-PCa men treated with DE-IGRT monotherapy, Decipher GC was an independent predictor of BCR. While most men in this our cohort were stratified as NCCN unfavorable IR-PCa, the majority were GC low risk with excellent outcomes from DE-IGRT alone. In contrast, a minority with GC high risk had suboptimal outcomes, and may benefit from ADT intensification.

Efficacy of carfilzomib lenalidomide dexamethasone (KRd) with or without transplantation in newly diagnosed myeloma according to risk status: Results from the FORTE trial.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 8002-8002 ◽  
Author(s):  
Francesca Gay ◽  
Chiara Cerrato ◽  
Maria Teresa Petrucci ◽  
Renato Zambello ◽  
Barbara Gamberi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
High Risk ◽  
Multivariate Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Regression Analysis ◽  
Early Relapse ◽  
Early Progression ◽  
Stage 1 ◽  
Clinical Trial Information

8002 Background: High and comparable rates of MRD negativity were seen in NDMM pts after 4 28-day induction cycles with KRd followed by ASCT and 4 KRd consolidation (KRd_ASCT_KRd) and after 12 KRd cycles (KRd12), showing the superiority of both regimens over KCd induction-ASCT-KCd consolidation (KCd-ASCT-KCd) (Gay F ASH 2018). Here we evaluated the benefit of KRd_ASCT_KRd vs KRd12 in specific subgroups of pts. Methods: 474 NDMM pts ≤65 years were randomized to KRd_ASCT_KRd or KRd12 or KCd_ASCT_KCd. We compared rate of ≥VGPR, ≥CR, sCR, MRD negativity (centralized, second generation flow cytometry, sensitivity 10-5) after consolidation with KRd_ASCT_KRd vs KRd12 in patients with R-ISS 1 and R-ISS 2/3. Since high-risk pts may sometimes respond rapidly, but then relapse early, we also analyzed the rate of early relapse (<18 months from randomization). We performed a multivariate logistic regression analysis to evaluate factors predictive of early relapse. Results: Median follow-up was 25 months. Rates of ≥VGPR, ≥CR, sCR, MRD negativity were comparable between KRd_ASCT_KRd and KRd12 overall, in pts with R-ISS Stage 1 and with R-ISS Stage 2/3 (Table). A significantly lower number of pts experienced early relapse with KRd_ASCT_KRd vs KRd12 (12 pts [8%] vs 26 pts [17%]; P=0.015). This difference was mainly related to a significantly lower rate of early relapse in R-ISS Stage 2/3 pts receiving KRd_ASCT_KRd vs KRd12 (11 pts [12%] vs 22 pts [23%]; P=0.05); no difference was seen in R-ISS 1 (0 vs 2 pts). In multivariate regression analysis, KRd_ASCT_KRd vs KRd12 reduced the risk of early progression (OR 0.42; P=0.021); R-ISS Stage 2 (OR 3.6; P=0.001) and R-ISS Stage 3 (OR 4.85; P=0.003) increased the risk compared with R-ISS 1. Conclusions: KRd-ASCT-KRd and KRd12 were equally effective in inducing high-quality responses, with about 50% of high-risk pts achieving MRD negativity. In high-risk pts ASCT reduced the risk of early relapse. Clinical trial information: NCT02203643. [Table: see text]

scholarly journals Effect of hypoproteinemia on the mortality of sepsis patients in the ICU: a retrospective cohort study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jing Hu ◽  
Chenwei Lv ◽  
Xingxing Hu ◽  
Jiangyun Liu
Keyword(s):  
Mechanical Ventilation ◽  
Regression Analysis ◽  
Cohort Study ◽  
Mortality Rate ◽  
Multivariate Regression ◽  
Retrospective Cohort ◽  
Multivariate Regression Analysis ◽  
Albumin Level ◽  
Normal Group ◽  
Significant Difference

AbstractThe objective of the study was to evaluate the effect of hypoproteinemia on the prognosis of sepsis patients and the effectiveness of exogenous albumin supplementation. A retrospective cohort study was conducted in adult ICUs. The subjects were 1055 sepsis patients in MIMIC III database from June 2001 to October 2012. There were no interventions. A total of 1055 sepsis patients were enrolled and allocated into two groups based on the lowest in-hospital albumin level: 924 patients were in the hypoproteinemia group (the lowest in-hospital albumin ≤ 3.1 g/dL) and 131 patients were in the normal group (the lowest in-hospital albumin > 3.1 g/dL). A total of 378 patients [331 (35.8%) were in the hypoproteinemia group, and 47 (35.9%) were in the normal group] died at 28 days, and no statistically significant difference was found between the two groups (P = 0.99). The survival analysis of the 28-day mortality rate was performed using the Cox proportional risk model and it was found that the lowest in-hospital albumin level showed no significant effect on the 28-day mortality rate (P = 0.18, 95%CI). Patients in the hypoproteinemia group exhibited a longer length of stay in ICU and hospital and more complications with AKI than those in the normal group. However, multivariate regression analysis found that there was no statistical significance between the two groups. In addition, multivariate regression analysis showed that patients in the hypoproteinemia group had a shorter time without vasoactive drugs and time without mechanical ventilation than those in the normal group (P < 0.01). In the subgroup analysis, univariate analysis and multivariate regression analysis showed that there was no significant difference in the 28-day mortality rate (39.6% vs 37.5%, P = 0.80), the proportion of mechanical ventilation time (P = 0.57), and vasoactive drug time (P = 0.89) between patients with and without albumin supplementation. However, patients in the albumin supplementation group had a longer length of ICU stay and hospital stay than those in the non-supplementation group (P < 0.01). Albumin level may be an indicator of sepsis severity, but hypoproteinemia has no significant effect on the mortality of sepsis patients. Despite various physiological effects of albumin, the benefits of albumin supplementation in sepsis patients need to be evaluated with caution.

scholarly journals Medical Factors Associated With Fracture Nonunion: A Retrospective Study

2021 ◽  
Author(s):  
Rongrong Wang ◽  
Dawei Wang ◽  
Zheng Chen ◽  
Jingyu Ma ◽  
Lili Wang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
High Risk ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Injury Mechanism ◽  
Fibrinogen Concentration ◽  
Distribution Width ◽  
Factors Associated ◽  
Asa Classification ◽  
Femur Fractures

Abstract Background: Nonunion is one of the medical conditions challenging the trauma specialists. Timely identification of people at high risk of nonunion is important to improve the prognosis of patients.Methods: We retrospectively analyzed the demographic and laboratory hematological characteristics of 338 patients with either clavicle or femoral fractures treated with ORIF in Shandong Provincial Hospital affiliated to Shandong University from January 2010 to May 2019. Descriptive statistics, univariate regression analysis, and multivariate regression analysis were conducted to confirm the independent factors associated with nonunion after ORIF.Results: The overall nonunion rate among the patients investigated in this study was ~6.8%, while the nonunion rates were 5.6% and 10.3% in clavicle and the femur fractures, respectively. Results of the univariate logistic regression analysis showed that the serum fibrinogen concentration (FIB), the hemoglobin count (HGB), the lymphocyte absolute value (LYMPH), the coefficient of variation of red blood cell distribution width (RDW-CV), the American Society of Anesthesiologists (ASA) classification, and the mechanism of injury were related to the occurrence of nonunion (p < 0.05). Results of the multivariate regression analysis showed that FIB (OR = 1.64, 95% CI of 1.14 to 2.36, p < 0.01), LYMPH (OR = 0.34, 95% CI of 0.15 to 0.77, p < 0.01), ASA classification (OR = 3.52, 95% CI of 1.20 to 10.31, p = 0.02), and injury mechanism (OR=3.13, 95% CI of 1.20 to 8.21, p = 0.02) were independently associated with the occurrence of nonunion.Conclusions: Our study has revealed that FIB, LYMPH, ASA classification, and injury mechanism are independently related to the occurrence of nonunion after ORIF, providing important guidance for clinicians to identify patients with high risk of nonunion in time, ultimately improving the prognosis and quality of life of patients.

scholarly journals The Diagnosis and Treatment of Low T3 Syndrome in Neurocritical Patients

2019 ◽  
Author(s):  
Yihao Chen ◽  
Jianbo Chang ◽  
Rui Yin ◽  
Junxian Wen ◽  
Baitao Ma ◽  
...  
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Mortality Risk ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Low T3 Syndrome ◽  
Low T3 ◽  
Significant Difference ◽  
Serum T3

Abstract Background Low serum T3 level is considered as a strong predictor of mortalities and poor prognosis in critical care patients. Few reports, however, focus on neurocritical patients. The application of hormone replacement therapy (HRT) in neurocritical patients with low T3 syndrome also remains controversial. We studied the role of low T3 state as a predictor in neurocritical patients and presented our experience of HRT from a single-center perspective.Methods From January 2012 to October 2018, a total of 32 neurocritical patients with low T3 syndrome were admitted to the neuro-intensive care unit (NICU) of Peking Union Medical College Hospital. Among them, 18 (56.25%) patients received HRT (HRT group) since the diagnosis of low T3 syndrome, while the other 14 (43.75%) patients did not (non-HRT group). We collected the clinical baseline and laboratory data of all the patients and conducted follow-up from 3 to 72 months. Overall survival was assessed by the Kaplan-Meier curve and compared by the log-rank test. Univariate and multivariate regression analysis was applied to estimate the prognostic power of HRT for mortality. We also performed the Mann-Whitney U test or t-test to assess the influence of HRT on the final neurological function.Results The cohort consists of 32 patients, with an average Glasgow Coma Scale (GCS) of 6.41 (HRT=6.44±3.14, non-HRT=6.36±2.06). The neurocritical events include postoperative complications (n=18), traumatic brain injury (n=8), and spontaneous intracerebral hemorrhage (n=6). A total of 15 (46.87%) deaths were recorded (HRT=7, non-HRT=8). In the HRT group, the low T3 situation in 5 patients (33.3%) was corrected and 10 (66.7%) were not. It turns out that the overall survival rate of the non-HRT group was significantly lower than that of the HRT group (P=0.034, 16.445 vs. 47.470 months). The non-HRT group has 3.322 times the mortality risk of the HRT group, according to univariate regression analysis, while the multivariate regression analysis showed no significant difference in mortality risk between the two groups (P=0.087, HR=0.340 95%CI 0.099-1.172). There was no significant difference in the short and long-term effects of HRT on neurological function (short-term GCS P=0.587, long-term GCS P=0.419, long-term GOS P=0.419).Conclusion Low T3 syndrome can significantly influence the prognosis of neurocritical patients. Therefore much attention should be paid to the changes in serum T3 level during treatment. Although it is unclear to what extent can HRT improve the short or long-term outcome of neurological function, it can significantly benefit the survival of neurocritical patients.

scholarly journals Minimum Variance Algorithm-Based Correlation Analysis between Body Mass Index and the Malignant Degree of Prostate Cancer Mediated under Ultrasound Images

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yong Wei ◽  
Hongru Zhu ◽  
Peng Chen ◽  
Wenren Zuo ◽  
Wenhui Qian ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Body Mass Index ◽  
High Risk ◽  
Body Mass ◽  
Gleason Score ◽  
Risk Group ◽  
Minimum Variance ◽  
High Risk Group ◽  
Ultrasound Images ◽  
Group A

This study was to explore the correlation between the malignant degree of prostate cancer (PCa) and body mass index (BMI) mediated by ultrasound images under multioperator algorithm (MOA) based on minimum variance (MV) algorithm. MOA was established by optimizing the smoothing technique and diagonal loading algorithms of MV, and its quality and processing speed of ultrasound images were compared with other algorithms. Ninety two patients were selected as the subjects investigated, who had transrectal prostate biopsy mediated by ultrasound to be diagnosed as PCa in the hospital. Based on Gleason score and prostate specific antigen (PSA) value, all patients were divided into a high-risk PCa group (a high-risk group) and a non-high-risk PCa group (a non-high-risk group). The proportion of obese patients in the two groups was compared. The logistic regression analysis method was applied to analyze related factors of PCa development, and Pearson correlation was for analyzing the correlation between Gleason score and BMI of patients. The results showed that the number of patients in the high-risk group was greater than that of the non-high-risk group ( P  < 0.05), while the proportion of nonobese patients in the non-high-risk group was markedly higher than that of the higher-risk group ( P  < 0.01). Both PSA and BMI were obviously correlated with the development of high-risk PCa ( P  < 0.05), and there was an extreme positive correlation between BMI and Gleason score (r = 0.661 and P  = 0.007). It indicated that MOA was established based on conventional MV, which could increase the ultrasonic image quality and calculation speed. Besides, BMI was a risk factor of high-risk PCa and was positively correlated with malignant degree of PCa, which provided a referable evidence for clinical evaluation of malignant degree of PCa.

scholarly journals Systemic Coagulation Markers Especially Fibrinogen Are Closely Associated with the Aggressiveness of Prostate Cancer in Patients Who Underwent Transrectal Ultrasound-Guided Prostate Biopsy

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Fang-Ming Wang ◽  
Nian-Zeng Xing
Keyword(s):  
Prostate Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
High Risk ◽  
Transrectal Ultrasound ◽  
Risk Groups ◽  
High Risk Group ◽  
Clinicopathological Features ◽  
Thrombin Time ◽  
At Iii

Objective. It has been well elucidated that multiple types of cancers are at high risk of thrombosis. Several studies have indicated the prognostic value of fibrinogen (Fib) and D-dimer (DD) in prostate cancer (PCa). However, it remains unclear regarding the association of the comprehensive coagulation markers with the clinicopathological features of PCa. Methods. A total of 423 pathologically diagnosed patients with PCa were consecutively collected and stratified as low-intermediate-risk or high-risk groups. The association of coagulation parameters including Fib, DD, prothrombin (PT), activated partial thromboplastin time (APTT), thrombin time (TT), and antithrombin III (AT-III) with clinicopathological features was determined by univariate and multivariate logistic regression analyses. Results. The levels of Fib, DD, and PT were significantly higher in the high-risk group ( p < 0.001 , p < 0.001 , and p = 0.043 , resp.), while APTT, TT, and AT-III were similar between two groups ( p > 0.05 , all). Univariate logistic regression analysis demonstrated that Fib, DD, and PT were all positively correlated with high-risk PCa ( OR = 2.041 , p < 0.001 ; OR = 1.003 , p < 0.001 ; OR = 1.247 , p = 0.044 ). Nonetheless, after adjusting for PSA, grade, and stage, Fib (T3 vs. T1, OR = 15.202 , 95% CI: 1.725-133.959, p = 0.014 ) but not DD or PT was the unique independent factor associated with high-risk PCa in the multivariate regression analysis. Conclusions. Our study firstly revealed that Fib but other coagulation markers was independently associated with the severity of PCa, suggesting Fib might be useful in PCa risk stratification beyond PSA, stage, and grade.

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