Predictive Value of Atrial Electromechanical Delay on Long-Term Cardiovascular Outcomes in Hemodialysis Patients

Background: Atrial electromechanical delay (AEMD) times were considered independent predictors of cardiovascular morbidity among the general population. We aimed at evaluating AEMD times and other risk factors associated with 2-year combined cardiovascular (CV) events in HD patients. Material and Methods: Sixty hemodialysis (HD) and 44 healthy individuals were enrolled in this prospective study. Echocardiography was performed before the mid-week dialysis session for HD patients. Data were expressed as mean ± SD. Spearman test was used to assess linear associations. Survival was examined with the Kaplan-Meier method. Multivariate Cox regression analysis was used to determine the predictors of combined CV events in this cohort. Results: At the beginning of the study, left intra-atrial-AEMD times were significantly longer in HD patients compared to the left intra-atrial-AEMD times in healthy individuals. After 24 months, 41 patients were still on HD treatment and 19 (31.6%) had died. Serum triglyceride, total cholesterol and albumin were found to be higher and C-reactive protein (CRP) levels, left intra-atrial EMD time (LIAT) and interatrial EMD times were found to be lower in survived HD patients. With the cut-off median values of 3.5 g/dl for albumin, 0.87 mg/dl for CRP, 157 mg/dl for total cholesterol and 151 mg/dl for triglyceride, the Kaplan-Meier curves demonstrated significant differences in terms of all-cause mortality. We also demonstrated the Kaplan-Meier survival curves of HD patients according to tertile values of LIAT. Cox regression analysis revealed that increased CRP and higher LIAT were found to be independent predictors of combined CV events. Conclusions: Increased LIAT and inflammation were found to be closely associated with 2 years combined CV events and all-cause mortality in HD patients.

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Comparison of 24-hour and Office Pulse Wave Velocity for Prediction of Mortality in Hemodialysis Patients

American Journal of Nephrology ◽

10.1159/000499532 ◽

2019 ◽

Vol 49 (4) ◽

pp. 317-327 ◽

Cited By ~ 10

Author(s):

Julia Matschkal ◽

Christopher C. Mayer ◽

Pantelis A. Sarafidis ◽

Georg Lorenz ◽

Matthias C. Braunisch ◽

...

Keyword(s):

Regression Analysis ◽

Pulse Wave Velocity ◽

Wave Velocity ◽

Cardiovascular Mortality ◽

Pulse Wave ◽

Cox Regression ◽

Hemodialysis Patients ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

All Cause Mortality

Background: Mortality in hemodialysis patients still remains unacceptably high. Enhanced arterial stiffness is a known cardiovascular risk factor, and pulse wave velocity (PWV) has proven to be a valid parameter to quantify risk. Recent studies showed controversial results regarding the prognostic significance of PWV for mortality in hemodialysis patients, which may be due to methodological issues, such as assessment of PWV in the office setting (Office-PWV). Method: This study cohort contains patients from the “Risk stratification in end-stage renal disease – the ISAR study,” a multicenter prospective longitudinal observatory cohort study. We examined and compared the predictive value of ambulatory 24-hour PWV (24 h-PWV) and Office-PWV on mortality in a total of 344 hemodialysis patients. The endpoints of the study were all-cause and cardiovascular mortality. Survival analysis included Kaplan-Meier estimates and Cox regression analysis. Results: During a follow-up of 36 months, a total of 89 patients died, 35 patients due to cardiovascular cause. Kaplan-Meier estimates for tertiles of 24 h-PWV and Office-PWV were similarly associated with mortality. In univariate Cox regression analysis, 24 h-PWV and Office-PWV were equivalent predictors for all-cause and cardiovascular mortality. After adjustment for common risk factors, only 24 h-PWV remained solely predictive for all-cause mortality (hazard ratio 2.51 [95% CI 1.31–4.81]; p = 0.004). Conclusions: Comparing both measurements, 24 h-PWV is an independent predictor for all-cause-mortality in hemodialysis patients beyond Office-PWV.

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P1787 Pharmacologic stress test: still an important prognostic factor? a follow-up study

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jez319.1143 ◽

2020 ◽

Vol 21 (Supplement_1) ◽

Author(s):

V Ferreira ◽

L Moura Branco ◽

A Galrinho ◽

P Rio ◽

S Aguiar Rosa ◽

...

Keyword(s):

Regression Analysis ◽

Cox Regression ◽

Stress Test ◽

Bypass Graft ◽

Dobutamine Stress ◽

Left Ventricular ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

All Cause Mortality

Abstract Introduction Dobutamine stress echocardiography (DSE) is an established exam for evaluation of extent and severity of coronary artery disease. Purpose To analyse the results and complications of DSE and identify prognostic predictors in patients (P) who underwent DSE for myocardial ischemia detection. Methods 220P who underwent consecutive DSE from 2013 to 2017. P with significant valvular disease were excluded. Clinical data, echocardiographic parameters and data from follow up (FU) regarding all-cause mortality and MACEs were analysed. Mean age 64.8 ± 12.0 years(Y), 143 men (65%). Results 88P (40%) had positive, 102 had negative and 30 had inconclusive DSE; complications rate of 15%. Prevalence of hypertension, diabetes mellitus (DM), dyslipidemia, prior MI, percutaneous coronary interventionc (PCI), coronary arterial bypass graft (CABG) and HF was 82.7%, 42.3%, 67.7%, 35.9%, 31.8%, 10.9% and 9.5%, respectively. Mean left ventricular endsystolic (LVSD) and enddiastolic dimensions were 33.7 ± 8.9 and 52.8 ± 7.1 mm. Mean resting wall motion score index (rWMSI) and peak (pWMSI) were 1.16 ± 0.28 and 1.24 ± 0.34. Mean resting GLS (rGLS) and peak GLS (pGLS) were -16.3 ± 4.3 and -16.6 ± 4.3. Mean no. of ischemic segments was 1.7 ± 2.4 and 16.8% had ischemia >3 segments. There was ischemia in left anterior descending (LAD) coronary in 53P and in circumflex and right coronary territories in 18 and 68P. 22.6% had more than one ischemic territory. 43P (49.4%) underwent intervention, 38 with PCI and 5 with CABG. During a mean FU of 38.8 ± 16.8 months, 47 MACEs were observed, including 32 deaths (14.5%). Positive DSE (p = 0.012), no. of ischemic segments (p = 0.019), ischemia in the LAD (p = 0.003), rGLS (p = 0.038) and pGLS (p = 0.038) were related to the occurrence of MACEs. In Cox regression analysis, age (p = 0.005), DM (p = 0.005), HF (p = 0.006), prior CABG (p = 0.015), LVSD (p = 0.026), rWMSI (p = 0.029), pWMSI (p = 0.013) and pGLS (p = 0.038) were associated with increased all-cause mortality. Kaplan–Meier survival analysis showed that survival was significantly worse for ischemia > 3 segments (log rank 0.005), ischemia of more than one territory (log rank 0.025) and pWMSI >1.5 (log rank < 0.0005). With multivariate Cox regression analysis, age >65Y (HR 4.22, p = 0.004), DM (HR 2.49,p = 0.038) and pWMSI > 1.5 (HR 9.73,p = 0.007) were independently associated with all-cause mortality. Conclusion In patients who underwent DSE there were some baseline and DSE-related independent predictors of long-term prognosis: age, DM and peak WMSI. Abstract P1787 Figure. Kaplan–Meier curves

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Long-term effects of citric acid-based bicarbonate haemodialysis on patient outcomes: a survival propensity score–matched study in western France

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfz274 ◽

2020 ◽

Vol 35 (7) ◽

pp. 1228-1236 ◽

Cited By ~ 1

Author(s):

Jacky Potier ◽

Thibault Dolley-Hitze ◽

Didier Hamel ◽

Isabelle Landru ◽

Erick Cardineau ◽

...

Keyword(s):

Regression Analysis ◽

Patient Outcomes ◽

Cox Regression ◽

Univariate Analysis ◽

Long Term Effects ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Statistical Relevance ◽

All Cause Mortality

Abstract Background Citric acid–based bicarbonate haemodialysis (CIT-HD) has gained more clinical acceptance over the last few years in France and is a substitute for other acidifiers [e.g. acetic acid (CH3COOH) and hydrochloric acid (HCl)]. This trend was justified by several clinical benefits compared with CH3COOH as well as the desire to avoid the consequences of the corrosive action of HCl, but a nationwide clinical report raised concerns about the long-term safety of CIT-HD. The aim of this study was to assess the long-term effects of CIT-HD exposure on patient outcomes in western France. Methods This is a population-based retrospective multicentre observational study performed in 1132 incident end-stage kidney disease patients in five sanitary territories in western France who started their renal replacement therapy after 1 January 2008 and followed up through 15 October 2018. Relevant data, collected prospectively with the same medical software, were anonymously aggregated for the purposes of the study. The primary goal of this study was to investigate the effects of citrate exposure on all-cause mortality. To provide a control group to CIT-HD one, propensity score matching (PSM) at 2:1 was performed in two steps: the first analysis was intended to be exploratory, comparing patients who received citrate ≤80% of the time (CIT-HD ≤80) versus those who received citrate >80% of the time (CIT-HD >80), while the second analysis was intended to be explanatory in comparing patients with 0% (CIT-HD0) versus 100% citrate time exposure (CIT-HD100). Results After PSM, in the exploratory part of the analysis, 432 CIT-HD ≤80 patients were compared with 216 CIT-HD >80 patients and no difference was found for all-cause mortality using the Kaplan–Meier model (log-rank 0.97), univariate Cox regression analysis {hazard ratio [HR] 1.01 [95% confidence interval (CI) 0.71–1.40]} and multivariate Cox regression analysis [HR 1.11 (95% CI 0.76–1.61)] when adjusted for nine variables with clinical pertinence and high statistical relevance in the univariate analysis. In the explanatory part of the analysis, 316 CIT-HD0 patients were then compared with 158 CIT-HD100 patients and no difference was found using the Kaplan–Meier model (log-rank 0.06), univariate Cox regression analysis [HR 0.69 (95% CI 0.47–1.03)] and multivariate Cox regression analysis [HR 0.87 (95% CI 0.57–1.33)] when adjusted for seven variables with clinical pertinence and high statistical relevance in the univariate analysis. Conclusions Findings of this study support the notion that CIT-HD exposure ≤6 years has no significant effect on all-cause mortality in HD patients. This finding remains true for patients receiving high-volume online haemodiafiltration, a modality most frequently prescribed in this cohort.

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Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis

Journal of Oncology ◽

10.1155/2021/6646459 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Jianye Tan ◽

Haofeng Liang ◽

Bingsheng Yang ◽

Shuang Zhu ◽

Guofeng Wu ◽

...

Keyword(s):

Regression Analysis ◽

Cox Regression ◽

Survival Rates ◽

Prognostic Biomarkers ◽

Messenger Rnas ◽

Hub Genes ◽

Cox Regression Analysis ◽

Expression Levels ◽

Kaplan Meier ◽

Before And After

Osteosarcoma (OS) often occurs in children and often undergoes metastasis, resulting in lower survival rates. Information on the complexity and pathogenic mechanism of OS is limited, and thus, the development of treatments involving alternative molecular and genetic targets is hampered. We categorized transcriptome data into metastasis and nonmetastasis groups, and 400 differential RNAs (230 messenger RNAs (mRNAs) and 170 long noncoding RNAs (lncRNAs)) were obtained by the edgeR package. Prognostic genes were identified by performing univariate Cox regression analysis and the Kaplan–Meier (KM) survival analysis. We then examined the correlation between the expression level of prognostic lncRNAs and mRNAs. Furthermore, microRNAs (miRNAs) corresponding to the coexpression of lncRNA-mRNA was predicted, which was used to construct a competitive endogenous RNA (ceRNA) regulatory network. Finally, multivariate Cox proportional risk regression analysis was used to identify hub prognostic genes. Three hub prognostic genes (ABCG8, LOXL4, and PDE1B) were identified as potential prognostic biomarkers and therapeutic targets for OS. Furthermore, transcriptions factors (TFs) (DBP, ESX1, FOS, FOXI1, MEF2C, NFE2, and OTX2) and lncRNAs (RP11-357H14.16, RP11-284N8.3, and RP11-629G13.1) that were able to affect the expression levels of genes before and after transcription were found to regulate the prognostic hub genes. In addition, we identified drugs related to the prognostic hub genes, which may have potential clinical applications. Immunohistochemistry (IHC) and quantitative real-time polymerase chain reaction (qRT-PCR) confirmed that the expression levels of ABCG8, LOXL4, and PDE1B coincided with the results of bioinformatics analysis. Moreover, the relationship between the hub prognostic gene expression and patient prognosis was also validated. Our study elucidated the roles of three novel prognostic biomarkers in the pathogenesis of OS as well as presenting a potential clinical treatment for OS.

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P1885Cha2ds-2vasc score lacks of ability to predict mortality in patients attending the emergency department with atrial fibrillation in the presence of troponin i

European Heart Journal ◽

10.1093/eurheartj/ehz748.0633 ◽

2019 ◽

Vol 40 (Supplement_1) ◽

Author(s):

M I Gonzalez Del Hoyo ◽

G Cediel ◽

A Carrasquer ◽

G Bonet ◽

K Vasquez-Nunez ◽

...

Keyword(s):

Heart Failure ◽

Atrial Fibrillation ◽

Emergency Department ◽

Regression Analysis ◽

Troponin I ◽

Cox Regression ◽

Cox Regression Analysis ◽

All Cause Mortality

Abstract Background CHA2DS2-VASc score has been used as a surrogate marker for predicting outcomes beyond thromboembolic risk in patients with atrial fibrillation (AF). Likewise, cardiac troponin I (cTnI) is a predictor of mortality in AF. Purpose This study aimed to investigate the association of cTnI and CHA2DS2-VASc score with long-term prognosis in patients admitted to the emergency department with AF. Methods A retrospective cohort study conducted between January 2012 and December 2013, enrolling patients admitted to the emergency department with AF and having documented cTnI measurements. CHA2DS2-VASc score was estimated. Primary endpoint was 5-year all-cause mortality, readmission for heart failure (HF), readmission for myocardial infarction (MI) and the composite end point of major adverse cardiac events defined as death, readmission for HF or readmission for MI (MACE). Results A total of 578 patients with AF were studied, of whom 252 patients had elevated levels of cTnI (43.6%) and 334 patients had CHA2DS2-VASc score >3 (57.8%). Patients with elevated cTnI tended to be oldercompared with those who did not have cTnI elevation and were more frequently comorbid and of higher ischemic risk, including hypertension, prior MI, prior HF, chronic renal failure and peripheral artery disease. The overall median CHA2DS2-VASc score was higher in those with cTnI elevation compared to those patients elevated cTnI levels (4.2 vs 3.3 points, p<0.001). Main diagnoses at hospital discharge were tachyarrhythmia 30.3%, followed by heart failure 17.7%, respiratory infections 9.5% and acute coronary syndrome 7.3%. At 5-year follow-up, all-cause death was significantly higher for patients with cTnI elevation compared with those who did not have cTnI elevation (56.4% vs. 27%; logrank test p<0.001). Specifically, for readmissions for HF and readmissions for MI there were no differences in between patients with or without cTnI elevation. In addition, MACE was reached in 165 patients (65.5%) with cTnI elevation, compare to 126 patients (38.7%) without cTnI elevation (p<0.001). On multivariable Cox regression analysis, cTnI elevation was an independent predictor of all-cause death (hazard ratio, 1.67, 95% confidence interval [CI]: 1.24–2.26, p=0.001) and of MACE (hazard ratio 1.47, 95% confidence interval 1.15–1.88; P=0.002), but it did not reach statistical significance for readmissions for MI and readmissions for HF. CHA2DS2-VASc score was a predictor on univariate Cox regression analysis for each endpoint, but it did not reach significance on multivariable Cox regression analysis for any endpoint. Conclusions cTnI is independently associated with long-term all-cause mortality in patients attending the emergency department with AF. cTnI compared to CHA2DS2-VASc score is thus a biomarker with predictive capacity for mortality in late follow-up, conferring utility in the risk stratification of patients with atrial fibrillation.

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Association of masseter area and radiodensity with three-month survival after proximal anterior circulation occlusion

Journal of NeuroInterventional Surgery ◽

10.1136/neurintsurg-2020-015837 ◽

2020 ◽

Vol 13 (1) ◽

pp. 25-29 ◽

Cited By ~ 1

Author(s):

Iisa Lindström ◽

Sara Protto ◽

Niina Khan ◽

Jussi Hernesniemi ◽

Niko Sillanpää ◽

...

Keyword(s):

Regression Analysis ◽

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Cox Regression ◽

Multivariable Logistic Regression Analysis ◽

Anterior Circulation ◽

Term Survival ◽

Cox Regression Analysis ◽

Kaplan Meier

BackgroundMasseter area (MA), a surrogate for sarcopenia, appears to be useful when estimating postoperative survival, but there is lack of consensus regarding the potential predictive value of sarcopenia in acute ischemic stroke (AIS) patients. We hypothesized that MA and density (MD) evaluated from pre-interventional CT angiography scans predict postinterventional survival in patients undergoing mechanical thrombectomy (MT).Materials and methods312 patients treated with MT for acute occlusions of the internal carotid artery (ICA) or the M1 segment of the middle cerebral artery (M1-MCA) between 2013 and 2018. Median follow-up was 27.4 months (range 0–70.4). Binary logistic (alive at 3 months, OR <1) and Cox regression analyses were used to study the effect of MA and MD averages (MAavg and MDavg) on survival.ResultsIn Kaplan–Meier analysis, there was a significant inverse relationship with both MDavg and MAavg and mortality (MDavg P<0.001, MAavg P=0.002). Long-term mortality was 19.6% (n=61) and 3-month mortality 12.2% (n=38). In multivariable logistic regression analysis at 3 months, per 1-SD increase MDavg (OR 0.61, 95% CI 0.41 to 0.92, P=0.018:) and MAavg (OR 0.57, 95% CI 0.35 to 0.91, P=0.019) were the independent predictors associated with lower mortality. In Cox regression analysis, MDavg and MAavg were not associated with long-term survival.ConclusionsIn acute ischemic stroke patients, MDavg and MAavg are independent predictors of 3-month survival after MT of the ICA or M1-MCA. A 1-SD increase in MDavg and MAavg was associated with a 39%–43% decrease in the probability of death during the first 3 months after MT.

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Prognostic value of D-dimer/fibrinogen ratio in the adverse outcomes of patients hospitalized for heart failure

Biomarkers in Medicine ◽

10.2217/bmm-2020-0553 ◽

2020 ◽

Vol 14 (18) ◽

pp. 1733-1745

Author(s):

Tian-Jun Zhao ◽

Qian-Kun Yang ◽

Chun-Yu Tan ◽

Li-Dan Bi ◽

Jie Li ◽

...

Keyword(s):

Heart Failure ◽

Regression Analysis ◽

Cox Regression ◽

Prognostic Indicator ◽

Adverse Outcomes ◽

Rank Test ◽

Clinical Value ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

D Dimer

Aim: To evaluate the clinical value of plasma D-dimer/fibrinogen ratio (DFR) in patients hospitalized for heart failure (HF). Methods: Clinical data of 235 patients were retrospectively analyzed. Kaplan–Meier method and Cox regression analysis were used to identify significant prognosticators. Results: The Kaplan–Meier analysis showed that a higher DFR level was significantly associated with an increase in the end point outcomes, including HF readmission, thrombotic events and death (log-rank test: p < 0.001). The multivariate Cox regression analysis showed that the high tertile of DFR was significantly associated with the study end points (HR: 2.18; 95% CI: 1.31–3.62; p = 0.003), compared with the low tertile. Conclusion: DFR is a reliable prognostic indicator for patients hospitalized for HF.

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P1166DOES PERITONEAL PROTEIN LOSS AFFECT CARDIOVASCULAR MORTALITY OF PERITONEAL DIALYSIS PATIENTS ?

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfaa142.p1166 ◽

2020 ◽

Vol 35 (Supplement_3) ◽

Author(s):

Marios Theodoridis ◽

Stylianos Panagoutsos ◽

Ioannis Neofytou ◽

Konstantia Kantartzi ◽

Efthimia Mourvati ◽

...

Keyword(s):

Regression Analysis ◽

Peritoneal Dialysis ◽

Cardiovascular Mortality ◽

Cox Regression ◽

Dialysis Patients ◽

Protein Loss ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Group A ◽

Group B

Abstract Background and Aims Peritoneal protein loss (PPL) through peritoneal effluent has been a well-recognized detrimental result of peritoneal dialysis (PD). The amount of protein lost will depend on dialysis time, protein size, its serum concentration and other factors including patients’ clinical status. Peritoneal protein loss may be a manifestation of endothelial dysfunction, as with another type of capillary protein leakage, microalbuminuria, a recognized endothelial dysfunction marker. The aim of this study was to retrospectively evaluate the influence of PPL on cardiovascular mortality of peritoneal dialysis patients Method This is a single center retrospective study of 84 PD patients (m=54, f=30) with mean age of 65.2±17 years, mean PD duration of 43.2±24.9 months conducted for the time period from 2006 to 2019 (13 years). The patients were divided into two groups according to the amount of protein excreted during the modified Peritoneal Equilibration Test (PET) procedure using PD solution of 3.86% DW, 2 Lt infusion volume for total time of 4 hours. The total amount of proteins excreted was calculate from PET by multiplying the concentration of proteins at the end of the test with the total volume of PD fluid at the same time. Group A excreted a total amount of proteins < 1.55 gr (median value) at the end of PET test and Group B > 1.55 gr. The cumulative all-cause and cardiovascular survival of the PD patients was calculated by Kaplan Meier while the possible effect of any parameter in survival rates was evaluated by using Cox Regression analysis Results There was not any statistically significant difference between the two groups according to PD duration, age, dialysis adequacy targets, Residual Renal Function(RRF), BMI, ultrafiltration volume during PET and their transport status. The cumulative all-cause survival using Kaplan-Meier analysis revealed no statistically significant deference between the two groups (Log Rank p=0.55) even though mortality risk was adjusted for several factors (Cox Regression). When cardiovascular survival, using Cox Regression analysis, was adjusted for age, sex, Diabetes, PD modality, dialysis Kt/V and RRF we found that Group A (with protein excretion < 1.55 gr) had statistically significant better cardiovascular survival (p=0.029) compared to Group B. We confirm these results while trying to find among the total of our patients the possible risk factors for cardiovascular mortality. Using Cox Regression analysis, the amount of protein excreted during PET procedure and the type of PD solutions (high or low in GDPs) used were statistically significant (p=0.019 and p=0.04 respectively) independent risk factors for cardiovascular survival in our patients. Conclusion These results indicate that protein loss during peritoneal dialysis procedure has negative impact on cardiovascular mortality and survival of PD patients. Additionally, the use of PD solutions with low Glucose Degradation Products (GDPs) and AGEs may improve PD patient’s cardiovascular survival. Randomized interventional studies are encouraged to address the pathological concern of PPL in the future, namely its effects on cardiovascular conditions or its role as marker and effort to reduce PPL using ACE inhibitors or vit D should be considered only if it diminishes cardiovascular morbidity or mortality.

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Abnormal Serum Free Light Chain Ratios Are Associated with Earlier Time to First Treatment and Poor Survival in Patients with Chronic Lymphocytic Leukaemia

Blood ◽

10.1182/blood.v112.11.3141.3141 ◽

2008 ◽

Vol 112 (11) ◽

pp. 3141-3141

Author(s):

Guy Pratt ◽

Graham Mead ◽

Supratik Basu ◽

Abe Jacobs ◽

Roger Holder ◽

...

Keyword(s):

Regression Analysis ◽

Cox Regression ◽

Prognostic Significance ◽

Lymphocytic Leukemia ◽

Female Ratio ◽

Cox Regression Analysis ◽

Serum Free ◽

Kaplan Meier ◽

Mutational Status ◽

Time To First Treatment

Abstract Introduction: Serum free light chains (sFLC) have prognostic significance in plasma cell disorders. In B-cell chronic lymphocytic leukemia (CLL), a small study found 8/18 (44%) of patients to have abnormal FLC ratios but no assessment of prognostic value was published. The aim of the present study was to determine whether abnormal serum FLC concentrations are indicative of a poor prognosis in CLL patients. Methods: Sera were analysed from 381 previously diagnosed CLL patients (Stage A 307; B 30; C 26; 18 missing; male: Female Ratio 1.6:1, mean age 71 (29–98)) with samples taken before their first treatment (303) or after treatment (78). The study was approved by the Birmingham Heart of England NHS Trust Review Board. Patients were described using the Binet staging system and measured for prognostic markers including CD38, Zap70, mutational status, β2M and FLC. Kaplan Meier survival curves and Cox proportional hazards regression (age, sex, CD38, Zap 70, mutational status, β2M and sFLC) were calculated using SPSS v14. Results: 147/381 (39%) patient sera had abnormal sFLC ratios. Kaplan Meier analysis of all deaths showed abnormal ratios were significantly associated with worse survival (n=350, p<0.001). Analysis of deaths attributed to CLL (n=30) also indicated that an abnormal FLC ratio was predictive of shorter survival (p=0.001). However, for deaths not attributed to CLL (n=32), the FLC ratio was not significantly predictive of outcome (p=0.112). For Cox regression analysis (n=228) of deaths attributed to CLL only, three significant, independent, prognostic factors were identified: CD38 (p<0.001), abnormal ratio (p<0.001) and Stage (p=0.027). Analysis of the untreated patient population (n=303), using Kaplan Meier analysis of time to first treatment, found that an abnormal lambda ratio (p=0.04) but not an abnormal kappa ratio (p=0.443) predicted earlier treatment. For patients with an abnormal lambda ratio, the mean time to first treatment was 38 months earlier than those patients with a normal ratio. Cox regression analysis (n=171) of time to first treatment, found 4 significant, independent factors predicting earlier treatment: Zap70 (p<0.001), Age (p<0.001), abnormal sFLC ratio (p=0.001) and Stage (p=0.027). Conclusions: As shown in other monoclonal gammopathies, abnormal sFLC ratios were associated with poorer outcomes in patients with CLL. Furthermore, in an untreated population, patients with an abnormal lambda sFLC ratio required earlier treatment, indicating a pathological mechanism which is as yet unclear but which warrants further investigation.

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Proportions of Beneficial Factors in MLR, NLR, PLR and D-dimer in Preoperative Peripheral Blood of Patients With Early Stage Lung Cancer as Predictors of Patient Survival After Surgery

10.21203/rs.3.rs-1194999/v1 ◽

2021 ◽

Author(s):

jun wang ◽

huawei li ◽

ran xu ◽

tong lu ◽

jiaying zhao ◽

...

Keyword(s):

Lung Cancer ◽

Regression Analysis ◽

Cox Regression ◽

Early Stage ◽

Progression Free Survival ◽

Early Stage Lung Cancer ◽

Cox Regression Analysis ◽

Lymphocyte Ratio ◽

Kaplan Meier ◽

D Dimer

Abstract ObjectiveThe purpose of this paper is to predict the following items. preoperative baseline monocyte-to-lymphocyte ratio (MLR)、neutrophil-to-lymphocyte ratio (NLR) Platura-to-lymphocyte ratio (PLR) and dimeric fibrin fragment D (D-dimer) associated with clinical outcome in patients with Early Lung Cancer (LC).MethodsWe performed a retrospective analysis of 376 patients with LC. Progression-free survival (PFS) and overall survival (OS) were assessed by Kaplan-Meier, and univariate and multivariate Cox regression analyses were performed to identify prognostic factors. Finally, multivariate Cox regression analysis was used to evaluate the influence of favorable factors on patients’ OS and PFS combined with the basic clinical characteristics of the patient ResultsAmong the variables screened by univariate Cox regression, MLR < 0.22, NLR < 1.99, PLR < 130.55 and D-Dimer < 70.5 (ng/ml) were significantly associated with both better OS and PFS. In multivariate Cox regression analysis, it was determined that MLR and D-Dimer had a better independent correlation with OS (p = 0.009, p = 0.05, respectively), while MLR was only better independently associated with PFS (P = 0.005). Furthermore, according to the number of favorable factors, patients with none of these factors had a significantly worse prognosis than patients with at least one of these factors.ConclusionBaseline characteristics of low MLR, low NLR, low PLR and low D-dimer were associated with better outcomes.

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