Curative Resection of Colorectal Adenocarcinoma: Multivariate Analysis of 5-Year Follow-up

1999 ◽  
Vol 23 (12) ◽  
pp. 1301-1306 ◽  
Author(s):  
Chen Han-Shiang
Keyword(s):  
Multivariate Analysis ◽  
Curative Resection ◽  
Colorectal Adenocarcinoma

scholarly journals Preoperative AICS (lung) abnormalities predict postoperative recurrence in patients undergoing curative resection for non-small cell lung cancer

2020 ◽  
Author(s):  
Masahiko Higashiyama ◽  
Ryohei Miyazaki ◽  
Hiroshi Yamamoto ◽  
Takashi Anayama ◽  
Shinya Kikuchi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Multivariate Analysis ◽  
Curative Resection ◽  
Postoperative Recurrence ◽  
Small Cell ◽  
Clinicopathological Factors ◽  
Small Cell Lung ◽  
Lung Abnormalities ◽  
The Relationship

Abstract [Background] AminoIndexTM Cancer Screening (AICS (lung)) was developed as a screening test for lung cancer using a multivariate analysis of plasma-free amino acid (PFAA) profiles. According to the developed index composed of PFAA, the probability of lung cancer was categorized into AICS (lung) ranks A, B, and C in order of increasing risk. The aim of the present study was to investigate the relationship between the preoperative AICS (lung) rank and surgical outcomes in patients who underwent curative resection for non-small cell lung cancer (NSCLC).[Methods] Preoperative blood samples were collected from 297 patients who underwent curative resection for NSCLC between 2006 and 2015. PFAA concentrations were measured. The relationship between the preoperative AICS (lung) rank and clinicopathological factors was examined. The effects of the preoperative AICS (lung) rank on postoperative outcomes were also analyzed.[Results] The AICS (lung) rank was A in 93 patients (31.3%), B in 82 (27.6%), and C in 122 (41.1%). The AICS (lung) rank did not correlate with any clinicopathological factors, except for age. Based on follow-up data (median follow-up period of 6 years), postoperative recurrence was observed in 22 rank A patients (23.7%), 15 rank B (18.3%) and 49 rank C (40.2%). In the univariate analysis, preoperative AICS (lung) rank C was a worse factor of recurrence-free survival (p=0.0002). The multivariate analysis identified preoperative AICS (lung) rank C (HR: 2.17, p=0.0005) as a significant predictor of postoperative recurrence, particularly in patients with early-stage disease or adenocarcinoma. [Conclusion] Preoperative AICS (lung) abnormalities are a high-risk predictor of postoperative recurrence in NSCLC patients undergoing curative resection.

scholarly journals Preoperative ALBI grade predicts the outcomes in non-B non-C HCC patients undergoing primary curative resection

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu-Chieh Tsai ◽  
Fai-Meng Sou ◽  
Yueh-Wei Liu ◽  
Yi-Ju Wu ◽  
Chee-Chien Yong ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Curative Resection ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Tumor Stage ◽  
Class B ◽  
Grade Ii ◽  
Pugh Class ◽  
Independent Risk Factors

Abstract Background The albumin–bilirubin (ALBI) grade has been validated as a significant prognostic predictor for hepatocellular carcinoma (HCC). However, there is little information about the ALBI grade in patients with non-B non-C HCC (NBNC-HCC) receiving surgery. Aim This study aimed to evaluate the prognostic significance of the ALBI grade in patients with NBNC-HCC after primary curative resection. Method From January 2010 to April 2016, 2137 patients with HCC who received hepatectomy were screened for study eligibility. Finally, a total of 168 NBNC-HCC patients who received primary curative resection were analyzed. The impacts of the ALBI grade on disease-free survival (DFS) and overall survival (OS) were analyzed by multivariate analysis. Results There were 66 (39.3%), 98 (58.3%), and 4 (2.4%) patients with an ALBI grade of I, II, and III, respectively. Patients with an ALBI grade II/III were older (p = 0.002), more likely to have hypoalbuminemia (p < 0.001), and more commonly had Child–Pugh class B (p = 0.009) than patients with an ALBI grade I. After a median follow-up of 76 months, 74 (44%) patients experienced recurrence, and 72 (42.9%) patients died. Multivariate analysis revealed that alpha-fetoprotein (AFP) > 200 ng/mL (p = 0.021), number of tumors (p = 0.001), and tumor stage (p = 0.007) were independent prognostic factors for DFS. Additionally, AFP > 200 ng/mL (p = 0.002), ALBI grade II/III (p = 0.002), and tumor stage (p < 0.001) were independent risk factors for poor OS. Conclusion The preoperative ALBI grade can be used to predict mortality in patients with NBNC-HCC after primary curative resection.

scholarly journals Preoperative AminoIndex Cancer Screening (AICS) abnormalities predict postoperative recurrence in patients undergoing curative resection for non-small cell lung cancer

2020 ◽  
Author(s):  
Masahiko Higashiyama ◽  
Ryohei Miyazaki ◽  
Hiroshi Yamamoto ◽  
Takashi Anayama ◽  
Shinya Kikuchi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Multivariate Analysis ◽  
Cancer Screening ◽  
Curative Resection ◽  
Postoperative Recurrence ◽  
Small Cell ◽  
Clinicopathological Factors ◽  
Small Cell Lung ◽  
The Relationship

Abstract [Background] AminoIndexTM Cancer Screening (AICS (lung)) was developed as a screening test for lung cancer using a multivariate analysis of plasma-free amino acid (PFAA) profiles. According to the developed index composed of PFAA, the probability of lung cancer was categorized into AICS (lung) ranks A, B, and C in order of increasing risk. The aim of the present study was to investigate the relationship between the preoperative AICS (lung) rank and surgical outcomes in patients who underwent curative resection for non-small cell lung cancer (NSCLC).[Methods] Preoperative blood samples were collected from 297 patients who underwent curative resection for NSCLC between 2006 and 2015. PFAA concentrations were measured. The relationship between the preoperative AICS (lung) rank and clinicopathological factors was examined. The effects of the preoperative AICS (lung) rank on postoperative outcomes were also analyzed.[Results] The AICS (lung) rank was A in 93 patients (31.3%), B in 82 (27.6%), and C in 122 (41.1%). The AICS (lung) rank did not correlate with any clinicopathological factors, except for age. Based on follow-up data (median follow-up period of 6 years), postoperative recurrence was observed in 22 rank A patients (23.7%), 15 rank B (18.3%) and 49 rank C (40.2%). In the univariate analysis, preoperative AICS (lung) rank C was a worse factor of recurrence-free survival (p=0.0002). The multivariate analysis identified preoperative AICS (lung) rank C (HR: 2.17, p=0.0005) as a significant predictor of postoperative recurrence, particularly in patients with early-stage disease or adenocarcinoma.[Conclusion] Preoperative AICS (lung) rank C is a high-risk predictor of postoperative recurrence in patients undergoing curative resection for NSCLC.

scholarly journals Preoperative AminoIndex Cancer Screening (AICS) abnormalities predict postoperative recurrence in patients undergoing curative resection for non-small cell lung cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Masahiko Higashiyama ◽  
Ryohei Miyazaki ◽  
Hiroshi Yamamoto ◽  
Takashi Anayama ◽  
Shinya Kikuchi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Multivariate Analysis ◽  
Cancer Screening ◽  
Curative Resection ◽  
Postoperative Recurrence ◽  
Small Cell ◽  
Clinicopathological Factors ◽  
Small Cell Lung ◽  
The Relationship

Abstract Background AminoIndex™ Cancer Screening (AICS (lung)) was developed as a screening test for lung cancer using a multivariate analysis of plasma-free amino acid (PFAA) profiles. According to the developed index composed of PFAA, the probability of lung cancer was categorized into AICS (lung) ranks A, B, and C in order of increasing risk. The aim of the present study was to investigate the relationship between the preoperative AICS (lung) rank and surgical outcomes in patients who underwent curative resection for non-small cell lung cancer (NSCLC). Methods Preoperative blood samples were collected from 297 patients who underwent curative resection for NSCLC between 2006 and 2015. PFAA concentrations were measured. The relationship between the preoperative AICS (lung) rank and clinicopathological factors was examined. The effects of the preoperative AICS (lung) rank on postoperative outcomes were also analyzed. Results The AICS (lung) rank was A in 93 patients (31.3%), B in 82 (27.6%), and C in 122 (41.1%). The AICS (lung) rank did not correlate with any clinicopathological factors, except for age. Based on follow-up data (median follow-up period of 6 years), postoperative recurrence was observed in 22 rank A patients (23.7%), 15 rank B (18.3%) and 49 rank C (40.2%). In the univariate analysis, preoperative AICS (lung) rank C was a worse factor of recurrence-free survival (p = 0.0002). The multivariate analysis identified preoperative AICS (lung) rank C (HR: 2.17, p = 0.0005) as a significant predictor of postoperative recurrence, particularly in patients with early-stage disease or adenocarcinoma. Conclusion Preoperative AICS (lung) rank C is a high-risk predictor of postoperative recurrence in patients undergoing curative resection for NSCLC.

scholarly journals PROGNOSTIC FACTORS OF RENAL TUMOR RECURRENCE AFTER RADICAL NEPHRECTOMY

2021 ◽  
Vol 108 (Supplement_3) ◽  
Author(s):  
G Martínez Izquierdo ◽  
A R Arnaiz Pérez ◽  
E Escolano Fernández ◽  
M Merayo Álvarez ◽  
B Carrasco Aguilera ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Radical Nephrectomy ◽  
Univariate Analysis ◽  
Malignant Neoplasms ◽  
Histopathological Analysis ◽  
Chi Square ◽  
Renal Sinus ◽  
Chi Square Test

Abstract INTRODUCTION Renal cell carcinoma (RCC) represents 3% of overall malignant neoplasms in adults. However, its aetiology has not been clearly established. Although surgery represents the cornerstone in treatment, recurrence postoperative rates are around 20-30%, what implies prognostic factors search must be mandatory in order to help to plan de follow-up and the different adjuvant therapy possibilities available in case they were necessary. MATERIAL AND METHODS A retrospective observational study was carried out in 110 patients who underwent radical nephrectomy between 2004 and 2018, with the aim of identifying possible prognostic factors of recurrence of RCC after these surgeries. Preoperative data (epidemiological, comorbidities and laboratory tests), surgical, pathological and variables related to follow-up were taken into account. A univariate and multivariate analysis were performed, using chi-square test and logistic regression, respectively. RESULTS The median follow-up time was 53.5 months (SD = 35.8), time in which 19 patients had a recurrence of RCC after radical nephrectomy (17.2%). Histopathological items such as the surgical piece size, the nodal and microvascular invasion, the renal sinus invasion and the presence of necrosis in the surgical piece were associated with RCC recurrence in the univariate analysis, while only the presence of necrosis in the surgical piece showed a significant result in the multivariate analysis (p = 0.004). CONCLUSIONS Histopathological analysis, highlighting the presence of necrosis in the histological sample, was proved to be the main risk factor of RCC recurrence.

Identifying patients with CKD risk at the time of nephrectomy: When to initiate nephrology consult

2021 ◽  
pp. 239936932110319
Author(s):  
Yihe Yang ◽  
Zachary Kozel ◽  
Purva Sharma ◽  
Oksana Yaskiv ◽  
Jose Torres ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Radical Nephrectomy ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Interstitial Fibrosis ◽  
Kidney Neoplasm ◽  
Tubular Atrophy ◽  
Independent Risk Factors

Introduction: The prevalence of chronic kidney disease (CKD) is high among kidney neoplasm patients because of the overlapping risk factors. Our purpose is to identify kidney cancer survivors with higher CKD risk. Methods: We studied a retrospective cohort of 361 kidney tumor patients with partial or radical nephrectomy. Linear mixed model was performed. Results: Of patients with follow-up >3 months, 84% were identified retrospectively to fulfill criteria for CKD diagnosis, although CKD was documented in only 15%. Urinalysis was performed in 205 (57%) patients at the time of nephrectomy. Multivariate analysis showed interstitial fibrosis and tubular atrophy (IFTA) >25% ( p = 0.005), severe arteriolar sclerosis ( p = 0.013), female gender ( p = 0.024), older age ( p = 0.012), BMI ⩾ 25 kg/m2 ( p < 0.001), documented CKD ( p < 0.001), baseline eGFR ⩽ 60 ml/min/1.73 m2 ( p < 0.001), and radical nephrectomy ( p < 0.001) were independent risk factors of lower eGFR at baseline and during follow-up. Average eGFR decreased within 3 months post nephrectomy. However, patients with different risk levels showed different eGFR time trend pattern at longer follow-ups. Multivariate analysis of time × risk factor interaction showed BMI, radical nephrectomy and baseline eGFR had time-dependent impact. BMI ⩾ 25 kg/m2 and radical nephrectomy were associated with steeper eGFR decrease slope. In baseline eGFR > 90 ml/min/1.73 m2 group, eGFR rebounded to pre-nephrectomy levels during extended follow-up. In partial nephrectomy patients with baseline eGFR ⩾ 90 ml/min/1.73 m2 ( n = 61), proteinuria ( p < 0.001) and BMI ( p < 0.001) were independent risk factors of decreased eGFR during follow up. Conclusions: As have been suggested by others and confirmed by our study, proteinuria and CKD are greatly under-recognized. Although self-evident as a minimum workup for nephrectomy patients to include SCr, eGFR, urinalysis, and proteinuria, the need for uniform applications of this practice should be reinforced. Non-neoplastic histology evaluation is valuable and should include an estimate of global sclerosis% (GS) and IFTA%. Patients with any proteinuria and/or eGFR ⩽ 60 at the time of nephrectomy or in follow-up with urologists, and/or >25% GS or IFTA, should be referred for early nephrology consultation.

scholarly journals Implantable cardiac monitor after cryptogenic stroke: atrial fibrillation detection and predictors

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
E Ebrille ◽  
C Amellone ◽  
M.T Lucciola ◽  
F Orlando ◽  
M Suppo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Multivariate Analysis ◽  
Risk Stratification ◽  
Median Time ◽  
Remote Monitoring ◽  
Cryptogenic Stroke ◽  
Screening Process ◽  
Cardiac Monitor ◽  
Implantable Cardiac Monitor

Abstract Objective The main objective of our study was to analyze the incidence and predictors of atrial fibrillation (AF) in patients with cryptogenic stroke (CS) who received an implantable cardiac monitor (ICM) at our Institution. Methods From November 2013 to October 2017, a total of 133 patients who had suffered a CS were implanted with an ICM after a thorough screening process. The median time between the thromboembolic event and ICM implantation was 64 days [IQ range: 16–111]. All implanted patients were followed with remote monitoring until the first detected episode of AF or up to December 2018. Every remote monitoring transmission and related electrograms were analyzed by the dedicated Electrophysiology Nursing team and confirmed by experienced Electrophysiologists. AF was defined by any episode lasting greater than or equal to 2 minutes. Results During a median follow-up of 14.8 months [IQ range: 3.0–31.2], AF was detected in 65 out of 133 patients (48.9%). The median time from ICM implantation and AF detection was 3.5 months [IQ range: 0.9–6.7]. The prevalence of AF was 22.6%, 34.4%, 40.8% and 48.3% at 3, 6, 12 and 24 months respectively. At the multivariate analysis, high premature atrial contractions (PAC) burden and left atrium (LA) dilation were the only independent predictors of AF detection (HR 2.82, 95% CI 1.64–4.83, p&lt;0.001 for PAC; HR 1.75, 95% CI 1.03–2.97, p=0.038 for LA dimension). Patients were dived into categories based on the probability of AF detection (low, intermediate and high risk) and a new risk stratification algorithm was implemented (Figure 1). Conclusion After a thorough screening process, AF detection in patients with CS and ILM was quite high. Having a high PAC burden and LA dilation predicted AF episodes at the multivariate analysis. A new risk stratification algorithm was developed. Figure 1 Funding Acknowledgement Type of funding source: None

scholarly journals Osteoprotegerin is a marker of cardiovascular mortality in patients with chronic kidney disease stages 3–5

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gustavo Lenci Marques ◽  
Shirley Hayashi ◽  
Anna Bjällmark ◽  
Matilda Larsson ◽  
Miguel Riella ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Multivariate Analysis ◽  
Kidney Disease ◽  
Cardiovascular Mortality ◽  
Osteoclast Differentiation ◽  
Survival Rates ◽  
Elevated Serum ◽  
High Sensitivity ◽  
Intima Media Thickness

AbstractCardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). Osteoprotegerin (OPG), known to regulate bone mass by inhibiting osteoclast differentiation and activation, might also play a role in vascular calcification. Increased circulating OPG levels in patients with CKD are associated with aortic calcification and increased mortality. We assessed the predictive role of OPG for all-cause and cardiovascular mortality in patients with CKD stages 3–5 over a 5-year follow-up period. We evaluated the relationship between OPG and all-cause and cardiovascular mortality in 145 CKD patients (stages 3–5) in a prospective observational follow-up study. Inflammation markers, including high-sensitivity C-reactive protein, standard echocardiography, and estimation of intima-media thickness in the common carotid artery, were assessed at baseline, and correlations with OPG levels were determined. The cutoff values for OPG were defined using ROC curves for cardiovascular mortality. Survival was assessed during follow up lasting for up to 5.5 years using Fine and Gray model. A total of 145 (89 men; age 58.9 ± 15.0 years) were followed up. The cutoff value for OPG determined using ROC was 10 pmol/L for general causes mortality and 10.08 pmol/L for CV causes mortality. Patients with higher serum OPG levels presented with higher mortality rates compared to patients with lower levels. Aalen–Johansen cumulative incidence curve analysis demonstrated significantly worse survival rates in individuals with higher baseline OPG levels for all-cause and cardiovascular mortality (p < 0.001). In multivariate analysis, OPG was a marker of general and cardiovascular mortality independent of sex, age, CVD, diabetes, and CRP levels. When CKD stages were included in the multivariate analysis, OPG was an independent marker of all-cause mortality but not cardiovascular mortality. Elevated serum OPG levels were associated with higher all-cause and cardiovascular mortality risk, independent of age, CVD, diabetes, and inflammatory markers, in patients with CKD.

scholarly journals Calcium Channel Autoantibodies Predicted Sudden Cardiac Death and All-Cause Mortality in Patients with Ischemic and Nonischemic Chronic Heart Failure

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Haiyun Yu ◽  
Juanhui Pei ◽  
Xiaoyan Liu ◽  
Jingzhou Chen ◽  
Xian Li ◽  
...  
Keyword(s):  
Heart Failure ◽  
Multivariate Analysis ◽  
Sudden Cardiac Death ◽  
Chronic Heart Failure ◽  
Cardiac Death ◽  
Independent Predictor ◽  
All Cause Mortality ◽  
Patient Prognosis ◽  
The Relationship

The purpose of this study was to evaluate whether CC-AAbs levels could predict prognosis in CHF patients. A total of 2096 patients with CHF (841 DCM patients and 1255 ICM patients) and 834 control subjects were recruited. CC-AAbs were detected and the relationship between CC-AAbs and patient prognosis was analyzed. During a median follow-up time of 52 months, there were 578 deaths. Of these, sudden cardiac death (SCD) occurred in 102 cases of DCM and 121 cases of ICM. The presence of CC-AAbs in patients was significantly higher than that of controls (bothP<0.001). Multivariate analysis revealed that positive CC-AAbs could predict SCD (HR 3.191, 95% CI 1.598–6.369 for DCM; HR 2.805, 95% CI 1.488–5.288 for ICM) and all-cause mortality (HR 1.733, 95% CI 1.042–2.883 for DCM; HR 2.219, 95% CI 1.461–3.371 for ICM) in CHF patients. A significant association between CC-AAbs and non-SCD (NSCD) was found in ICM patients (HR = 1.887, 95% CI 1.081–3.293). Our results demonstrated that the presence of CC-AAbs was higher in CHF patients versus controls and corresponds to a higher incidence of all-cause death and SCD. Positive CC-AAbs may serve as an independent predictor for SCD and all-cause death in these patients.

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