scholarly journals Inflammatory Biomarkers May Predict Poor Outcome in Patients with Chronic Cerebrospinal Venous Insufficiency.

2020 ◽  
Author(s):  
Siying Song ◽  
Duo Lan ◽  
Xiao qin Wu ◽  
Yu chuan Ding ◽  
Xun ming Ji ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Prognostic Factors ◽  
Multivariate Regression ◽  
Venous Insufficiency ◽  
Multivariate Regression Analysis ◽  
Inflammatory Biomarkers ◽  
Lymphocyte Ratio ◽  
Chronic Cerebrospinal Venous Insufficiency ◽  
Poor Outcome ◽  
Inflammatory State

Abstract Background and purpose Chronic cerebrospinal venous insufficiency (CCSVI) related inflammatory process is still unclear. This study aimed to evaluate peripheral inflammatory biomarkers in both intracranial CCSVI and the extracranial CCSVI group, as well as the relationship between the inflammatory state and prognosis of CCSVI.Methods Patients with CCSVI were included from July 2017 to July 2019, divided into three groups by location of stenosis. The inflammatory biomarker assay included neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), red blood cell distribution width (RDW), C-reactive protein (CRP), interleukin- 6 (IL-6)) and neuron-specific enolase (NSE). The clinical outcome was assessed by the modified Rankin Scale (mRS) and Patient Global Impression of Change (PGIC) score. Univariate and multivariate regression analysis was performed to identify significant prognostic factors for poor outcome. Then a nomogram based on multivariate regression analysis was established.Results In total, 248 consecutive patients were enrolled, 102 males and 146 females, with an average age of 57.85 ± 12.28 years. Patients with cerebral venous sinus stenosis (CVSS) were more likely to be younger age and present headaches and severe papilledema. Higher levels of NLR, RDW, and CRP were also observed in the CVSS group. In multivariate analysis, NLR, PLR, and IL-6 became the independent prognostic factors for predicting the poor outcome of CCSVI.Conclusions The clinical presentations and the increased levels of NLR, PLR, and CRP may be more remarkable in the group with CVSS-related CCSVI than that with internal jugular venous stenosis (IJVS)-related CCSVI. The pro-inflammatory state may relate to CCSVI. An elevated level of NLR, PLR, and IL-6 played a negative role in the prognosis of CCSVI.

Prognostic factors in Waldenström's macroglobulinemia: a report of 167 cases.

1993 ◽  
Vol 11 (8) ◽  
pp. 1553-1558 ◽  
Author(s):  
T Facon ◽  
M Brouillard ◽  
A Duhamel ◽  
P Morel ◽  
M Simon ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Prognostic Factors ◽  
Multivariate Regression ◽  
Prognostic Value ◽  
Multivariate Regression Analysis ◽  
Lymphoid Cells ◽  
Waldenström’S Macroglobulinemia ◽  
Male Sex ◽  
Waldenstrom's Macroglobulinemia ◽  
Waldenström's Macroglobulinemia

PURPOSE A single-center retrospective analysis was conducted in 167 patients with Waldenström's macroglobulinemia (WM) to delineate prognostic factors. PATIENTS AND METHODS One hundred sixty-seven patients diagnosed between January 1969 and December 1988, fulfilling diagnostic criteria of WM, were entered onto this study. One hundred twenty-eight patients were treated with chlorambucil (0.1 mg/kg/d): 117 at diagnosis and 11 during the disease course. Seventeen variables were analyzed in all patients and in treated patients for their prognostic value on survival using the Kaplan-Meier method and a Cox multivariate regression analysis. RESULTS Median survival duration for all patients was 60 months. Pretreatment factors associated with shorter survival in the entire population were age > or = 60 years (P = .006), male sex (P = .0001), general symptoms (P = .01), hemoglobin less than 10 g/dL (P = .008), leukocytes less than 4 X 10(9)/L (P = .02), neutrophils less than 1.7 X 10(9)/L (P = .02), and platelets less than 150 X 10(9)/L (P = .0006). Organomegaly, signs of hyperviscosity, renal failure, monoclonal immunoglobulin M (M IgM) level, blood lymphocytosis, and percentage of marrow lymphoid cells were not significantly correlated with survival. In a Cox multivariate regression analysis, the combination of factors that gave the best prognostic value was the association of sex (P = .0002), neutrophils (P = .002), age (P = .008), and hemoglobin (P = .02). CONCLUSION Our findings suggest that some pretreatment parameters, including older age, male sex, general symptoms, and cytopenias, carry a poor prognosis in WM. By contrast, high initial tumor burden (indicated by organomegaly, high IgM level, and high percentage of marrow lymphoid cells) does not seem to be significantly associated with short survival. Our results help define a high-risk population that could perhaps benefit from newer therapeutic approaches.

Survival of Patients with Hematological Malignancy Admitted to the Intensive Care Unit (ICU): Prognostic Factors and Outcome Compared to Unselected Medical ICU Admissions.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3319-3319
Author(s):  
Quentin A. Hill ◽  
Anita Hill ◽  
Richard Kelly ◽  
Chetan Patalappa ◽  
Annika M. Whittle ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Hospital Mortality ◽  
Multivariate Regression ◽  
Hematological Malignancy ◽  
Multivariate Regression Analysis ◽  
Apache Ii Score ◽  
First Line ◽  
Icu Admission ◽  
Hospital Survival ◽  
Poor Outcome

Abstract Cancer patients have historically had a very poor outcome following ICU admission. Outcome has however improved over the last decade. We aim to identify factors that predict survival for critically ill patients with hematological malignancy and which can be readily identified prior to admission. This would improve selection of patients suitable for ICU admission, which represents a limited resource. We also assessed the ability of the APACHE II score to predict prognosis in these patients. Since the ICU admission case mix will vary between hospitals, one non-surgical admission within +/− 1 week of each hematological admission acted as a control group. Factors which might affect outcome were assessed by multivariate regression analysis. Factors included were age, hematological diagnosis (acute or chronic leukemia, myeloma, lymphoma), time from hematological diagnosis to ICU admission (0–6 months, 6–12 months, >12 months), degree of prior treatment (admission prior to diagnosis, during first line therapy, after first line), remission status, prior stem cell transplant, documented infection and length of neutropenia (none, 1–10 days, >10 days). For hematology patients, predicted hospital mortality was calculated from the APACHE II score by the formula of Knaus et al (Critical Care Medicine 1985). The APACHE scores of hematology patients were compared to controls by a two-sample t test. Predicted and actual mortalities were compared using a one sample test of proportion. The impact of mechanical ventilation (MV) on mortality was assessed by risk ratios. We identified 111 patients with hematological malignancy (acute leukemia n=42, chronic leukemia n=11, myeloma n=19 and lymphoma n=39) admitted to ICU in one teaching and three district general hospitals (November 2000 - January 2006). Median age of hematological patients was 59 years (range 17–84) and M: F ratio 1.22:1. Control patients (n=111) were similar with median age 63 years (range 17–86) and M: F ratio 1.09:1. For control patients, overall ICU and hospital survival rates were 70% and 55% respectively while survival for hematology patients was approximately half at 44% and 24% respectively. In multivariate regression analysis, only increasing age predicted poor outcome (p=0.016). There was a trend to poor outcome if patients were not in complete remission (p=0.066) or had documented infection (p=0.06). All other variables were not significant. APACHE scores were significantly higher in hematology patients (median 27) compared to controls (median 19) p<0.001. Predicted hospital mortality for hematology patients was 56%, significantly lower than actual mortality (77%) p<0.001. For controls, hospital survival was slightly reduced for MV v’s not receiving MV (risk ratio = 1.37; 95% C.I. = 0.91, 2.05). Hematology patients hospital survival was significantly worse for MV - 5/55, 9% v’s no MV 20/44, 45% (risk ratio = 5.00; 95% CI = 2.04, 12.50). The pre-admission variables assessed did not predict mortality and should not be used for this. Despite high APACHE scores, predicted hospital mortality underestimated mortality for patients with hematological malignancy. Need for MV still predicts poor outcome in this group but without MV nearly half survive to hospital discharge.

scholarly journals Clinical and prognostic factors in 98 patients with malignant melanoma in China

2017 ◽  
Vol 45 (4) ◽  
pp. 1369-1377 ◽  
Author(s):  
Min Zhang ◽  
Nan Zhang
Keyword(s):  
Regression Analysis ◽  
Prognostic Factors ◽  
Malignant Melanoma ◽  
Multivariate Regression ◽  
Clinical Stage ◽  
Survival Rates ◽  
Surgical Excision ◽  
Multivariate Regression Analysis ◽  
Exact Probability ◽  
Independent Risk Factors

Objective To investigate clinical and prognostic factors in patients with malignant melanoma (MM) in China. Methods A total of 98 MM patients were enrolled in the study. Enumeration data were analyzed using Fisher’s exact probability tests or χ2 tests. Survival rates were calculated using log-rank tests. A Cox multivariate regression analysis was performed to determine independent prognostic factors. Results The male: female incidence ratio was 1.88:1. The highest incidence rate was seen in the 45–65 year age group. Primary lesion ulceration was seen in 60.2% of patients. The 1-year, 3-year and 5-year survival rates were 85.7%, 34.7% and 13.3%, respectively. In univariate analyses, the 5-year survival rate in patients was significantly associated with ulceration (P < 0.01), clinical stage (P < 0.01) and surgical excision of the tumor (P < 0.01). Cox multivariate regression analysis confirmed that ulceration and clinical stage were independent prognostic factors. Conclusions Some clinical characteristics of MM patients in China are significantly different from those of patients in Western countries. Ulceration and clinical stage are independent risk factors for poor survival in MM patients.

Multivariate regression analysis of prognostic factors in colorectal cancer

2003 ◽  
Vol 2 (3) ◽  
pp. 149-152 ◽  
Author(s):  
Yang Zuli ◽  
Wang Jianping ◽  
Wang Lei ◽  
Dong Wenguang ◽  
Huang Yihua ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis
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