scholarly journals APPLICATION BOOTSTRAPPING KAPLAN-MEIER ESTIMATE FOR SURVIVAL CURVE SMOOTHING

2002 ◽  
Vol 8 (2) ◽  
pp. 58-64 ◽  
Author(s):  
MICHAŁ MICHALAK ◽  
MAREK POWIDZKI ◽  
JERZY A. MOCZKO
Keyword(s):  
Survival Curve ◽  
Kaplan Meier ◽  
Curve Smoothing

scholarly journals Expression and clinical significance of miR-3615 in hepatocellular carcinoma

2021 ◽  
Vol 49 (1) ◽  
pp. 030006052098154
Author(s):  
Xin Yuan ◽  
Yize Zhang ◽  
Zujiang Yu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Survival Curve ◽  
Clinicopathological Characteristics ◽  
The Cancer Genome Atlas ◽  
Prognostic Information ◽  
Ki 67 ◽  
Tissue Samples ◽  
Expression Levels ◽  
Kaplan Meier ◽  
Serum Alpha Fetoprotein

Objective To investigate the association between microRNA-3615 (miR-3615) expression and the prognosis and clinicopathological features in patients with hepatocellular carcinoma (HCC). Methods We obtained clinicopathological and genomic data and prognostic information on HCC patients from The Cancer Genome Atlas (TCGA) database. We then analyzed differences in miR-3615 expression levels between HCC and adjacent tissues using SPSS software, and examined the relationships between miR-3615 expression levels and clinicopathological characteristics. We also explored the influence of miR-3615 expression levels on the prognosis of HCC patients using Kaplan–Meier survival curve analysis. Results Based on data for 345 HCC and 50 adjacent normal tissue samples, expression levels of miR-3615 were significantly higher in HCC tissues compared with adjacent tissues. MiR-3615 expression levels in HCC patients were negatively correlated with overall survival time and positively correlated with high TNM stage, serum Ki-67 expression level, and serum alpha-fetoprotein level. There were no significant correlations between miR-3615 expression and age, sex, and pathological grade. Conclusion MiR-3615 may be a promising new biomarker and prognostic factor for HCC.

scholarly journals NDRG3 overexpression is associated with a poor prognosis in patients with hepatocellular carcinoma

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Ji-sheng Jing ◽  
Hongbo Li ◽  
Shun-cai Wang ◽  
Jiu-ming Ma ◽  
La-qing Yu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Survival Curve ◽  
Disease Free Survival ◽  
Prognostic Indicator ◽  
Clinicopathological Characteristics ◽  
Pcr Analysis ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
The Relationship

N-myc downstream-regulated gene 3 (NDRG3), an important member of the NDRG family, is involved in cell proliferation, differentiation, and other biological processes. The present study analyzed NDRG3 expression in hepatocellular carcinoma (HCC) and explored the relationship between expression of NDRG3 in HCC patients and their clinicopathological characteristics. We performed quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR) analysis and immunohistochemistry (IHC) analyses on HCC tissues to elucidate NDRG3 expression characteristics in HCC patients. Kaplan–Meier survival curve and Cox regression analyses were used to evaluate the prognoses of 102 patients with HCC. The results revealed that compared with non-tumor tissues, HCC tissues showed significantly higher NDRG3 expression. In addition, our analyses showed that NDRG3 expression was statistically associated with tumor size (P=0.048) and pathological grade (P=0.001). Survival analysis and Kaplan–Meier curves revealed that NDRG3 expression is an independent prognostic indicator for disease-free survival (P=0.002) and overall survival (P=0.005) in HCC patients. The data indicate that NDRG3 expression may be considered as a oncogenic biomarker and a novel predictor for HCC prognosis.

scholarly journals Nutritional predictors of mortality in prevalent peritoneal dialysis patients.

2016 ◽  
Vol 63 (1) ◽  
Author(s):  
Sylwia Malgorzewicz ◽  
Michal Chmielewski ◽  
Malgorzata Kaczkan ◽  
Paulina Borek ◽  
Monika Lichodziejewska-Niemierko ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Total Cholesterol ◽  
Body Mass ◽  
Survival Curve ◽  
Skinfold Thickness ◽  
Predictors Of Mortality ◽  
Model Following ◽  
Kaplan Meier ◽  
Independent Association ◽  
Cox Analysis

Malnutrition remains one of the major predictors of mortality in peritoneal dialysis (PD) patients. The aim of the study was to evaluate the nutritional status of prevalent PD patients, and to determine the best predictors of outcome among anthropometric and laboratory indices of nutrition. The study included 106 prevalent PD patients from a single university-based unit. Anthropometric assessment at baseline included: body mass, body mass index (BMI), skinfold thickness, lean body mass (LBM), content of body fat (%F), mid-arm muscle circumference (MAMC). Laboratory analysis comprised of albumin and total cholesterol. Additionally, each patient underwent a subjective global assessment (SGA). The patients were followed for 36 months. Survival analyses were made with the Kaplan-Meier survival curve and the Cox proportional hazard model. Following SGA, malnutrition was diagnosed in 30 (28%) patients. Importantly, eight of the malnourished patients (27%) were nevertheless overweight or obese. Body weight and BMI showed complete lack of association with the outcome. In Kaplan-Meier analysis low: LBM, MAMC, albumin and cholesterol were significantly related to mortality. Cox analysis revealed that, following adjustment, LBM below median was independently associated with poor outcome (hazard ratio [HR] 3.15, 95% confidence interval [CI] 1.17-8.49, p=0.02). Moreover, the lowest quartile of total cholesterol showed independent association with mortality (HR 8.68, CI 2.14-35.21, p

scholarly journals Sarcopenic obesity and associations with mortality in older women and men – a prospective observational study

2020 ◽  
Author(s):  
Åsa von Berens ◽  
Sine R Obling ◽  
Margaretha Nydahl ◽  
Afsaneh Koochek ◽  
Lauren Lissner ◽  
...  
Keyword(s):  
Older Adults ◽  
Survival Curve ◽  
Community Dwelling ◽  
Sarcopenic Obesity ◽  
Swedish Population ◽  
Adult Men ◽  
Kaplan Meier ◽  
Increased Risk ◽  
Male Cohort ◽  
Old Men

Abstract Background: The combined effect of sarcopenia and obesity, i.e., sarcopenic obesity, has been associated with disability and worse outcomes in older adults, but results are conflicting. The objectives of this study were to describe the prevalence of sarcopenic obesity (SO) in older adults, and to examine how the risk of mortality is associated with SO and its components. Methods: Data were obtained from two Swedish population studies, the Gothenburg H70 Birth Cohort Studies of 521 women and men at the age of 75, and the Uppsala Longitudinal Study of Adult Men (ULSAM), which included 288 men aged 88 years. Sarcopenia was defined using the EWGSOP2 definition. Obesity was defined by any of three established definitions: body mass index ≥30 kg/m 2 , fat mass >30%/ >42% or waist circumference ≥88 cm/≥102 cm for women and men, respectively. The Kaplan-Meier survival curve and the Cox proportional hazard model were used for 10-year and 4-year survival analyses in the H70 and ULSAM cohorts, respectively. Results: SO was observed in 4% of the women and 11% of the men in the H70 cohort, and in 10% of the ULSAM male cohort. The 75-year-old women with SO had a higher risk (HR 3.25, 95% confidence interval (1.2-8.9)) of dying within ten years compared to those with a “normal” phenotype. A potential similar association with mortality among the 75-year-old men was not statistically significant. In the older men aged 88 years, obesity was associated with increased survival. Conclusions: SO was observed in 4-11% of community-dwelling older adults. In 75-year-old women SO appeared to associate with an increased risk of dying within ten years. In 88-year-old men, the results indicated that obesity without sarcopenia was related to a survival benefit over a four-year period.

scholarly journals ANALISIS KURVA SURVIVAL KAPLAN MEIER MENGGUNAKAN UJI LOG RANK (Studi Kasus :Pasien Penyakit Jantung Koroner di RSUD Undata Palu)

2018 ◽  
Vol 7 (1) ◽  
pp. 33-42
Author(s):  
Arianti Suhartini ◽  
Rita Rahmawati ◽  
Suparti Suparti
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Survival Curve ◽  
Disease Status ◽  
Lifestyle Changes ◽  
Rank Test ◽  
Self Awareness ◽  
Log Rank Test ◽  
Kaplan Meier ◽  
Central Sulawesi

Coronary heart disease is one of the leading causes of death in the world, including Indonesia. Based on doctor-diagnosed interviews, coronary heart disease’s prevalence in Indonesia on 2013 is 0,5% and based on a doctor-diagnosed is 1,5%. Central Sulawesi is ranked first and second for prevalence based on doctor-diagnosed interviews and doctor-diagnosed. The high number of people with coronary heart disease caused by lack of self-awareness in lifestyle changes. One of the parameters used to assess the success of treatment is the probability of survival. Survival analysis is a data analysis where the outcome of the variables studied is the time until an event occurs. This study raised the problem of survival of coronary heart patients at Undata Palu Hospital which is the main referral hospital for Central Sulawesi region. This research uses nonparametric method that is Kaplan Meier and Log Rank Test based on six factors are age, gender, stadium, disease status, complication and status of anemia. Nonparametric methods do not follow a particular distribution for survival time. Kaplan Meier's survival curve will describe the patient's characteristics of survival probability and followed by a Log Rank test to see if there are differences between curves. The result of analysis and discussion based on Log Rank test result showed that the factors of age, sex and disease status differ significantly. Keywords: Coronary heart disease, RSUD Undata Palu, Kaplan Meier analysis, Log Rank test.

scholarly journals A Prognostic Autophagy-Related Long Non-coding RNA (ARlncRNA) Signature in Acute Myeloid Leukemia (AML)

2021 ◽  
Vol 12 ◽  
Author(s):  
Chunxia Zhao ◽  
Yulu Wang ◽  
Famei Tu ◽  
Shuai Zhao ◽  
Xiaoying Ye ◽  
...  
Keyword(s):  
Cox Regression ◽  
Survival Curve ◽  
Pearson Correlation ◽  
Enrichment Analysis ◽  
Risk Groups ◽  
Gene Set Enrichment Analysis ◽  
Kaplan Meier ◽  
Non Coding Rna ◽  
Novel Biomarkers ◽  
Meier Survival Curve

BackgroundSome studies have proven that autophagy and lncRNA play important roles in AML. Several autophagy related lncRNA signatures have been shown to affect the survival of patients in some other cancers. However, the role of autophagy related lncRNA in AML has not been explored yet. Hence, this study aims to find an autophagy related lncRNA signature that can affect survival for AML patients.MethodA Pearson correlation analysis, a Kaplan–Meier survival curve, a univariate cox regression, and a multivariate cox regression were performed to establish an autophagy related lncRNA signature. A univariate cox regression, a multivariate cox regression, a Kaplan–Meier survival curve, and a ROC curve were applied to confirm if the signature is an independent prognosis for AML patients. The relationship between the signature and the clinical features was explored by using a T test. Gene Set Enrichment Analysis (GSEA) was used to investigate the potential tumor related pathways.ResultsA four-autophagy related lncRNA (MIR133A1HG, AL359715.1, MIRLET7BHG, and AL356752.1) signature was established. The high risk score based on signature was related to the short survival time of AML patients. The signature was an independent factor for the prognosis for AML patients (HR = 1.684, 95% CI = 1.324–2.142, P < 0.001). The signature was correlated with age, leukocyte numbers, and FAB (M3 or non-M3). The P53, IL6/JAK/STAT3, TNF-α, INF-γ, and IL2/STAT5 pathways might contribute to the differences between the risk groups based on signature in AML.ConclusionThe four autophagy related lncRNAs and their signature might be novel biomarkers for predicting the survival of AML patients. Some biological pathways might be the potential mechanisms of the signature for the survival of AML patients.

scholarly journals Diagnostic and Prognostic Value of Presepsin in Patients with Non-Infectious Organ Failure, Sepsis, and Septic Shock: A Prospective Observational Study According to the Sepsis-3 Definitions

2021 ◽  
Author(s):  
Sukyo Lee ◽  
Juhyun Song ◽  
Dae Won Park ◽  
Hyeri Seok ◽  
Jae-hyung Cha ◽  
...  
Keyword(s):  
Septic Shock ◽  
Observational Study ◽  
Organ Failure ◽  
Prospective Observational Study ◽  
Survival Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Kaplan Meier ◽  
Sepsis And Septic Shock ◽  
Meier Survival Curve

Abstract Background: Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection. Early diagnosis of sepsis is challenging due to unknown sources of infection, and mortality prediction is usually complex. We aimed to investigate the clinical value of presepsin for discriminating sepsis from non-infectious organ failure and predicting mortality among sepsis patients in the emergency department (ED).Methods: This prospective observational study included 420 patients divided into three groups according to the Sepsis-3 definitions: non-infectious organ failure (n=142), sepsis (n=141), and septic shock (n=137). Blood samples for biomarker measurement of presepsin, procalcitonin, and C-reactive protein were drawn in the ED and biomarker levels were compared between the groups. Optimal cut-off values for presepsin to discriminate between the three clinical diagnoses were evaluated using receiver operating characteristic (ROC) curve analysis. We also performed ROC curve analysis for each biomarker as a predictor of mortality. After excluding non-infectious organ failure, we extracted the optimal cut-off value of presepsin to predict mortality associated with sepsis and septic shock and performed Kaplan–Meier survival curve analysis according to the cut-off value.Results: Presepsin levels (median [IQR]) were significantly higher in sepsis than in non-infectious organ failure (792 [450–1273] vs. 286 [170–417], p <0.001) and significantly higher in septic shock than in sepsis (1287 [589–2365] vs. 792 [450–1273], p=0.002). The optimal cut-off value for presepsin to discriminate between sepsis and non-infectious organ failure was 582 pg/mL (sensitivity, 70.1; specificity, 89.4; AUC, 0.877; p <0.001) and to discriminate between sepsis and septic shock was 1285 pg/mL (sensitivity, 50.4; specificity, 76.6; AUC, 0.618; p <0.001). The optimal cut-off value for presepsin for predicting 30-day mortality was 821 pg/mL (sensitivity, 68.9; specificity, 50.5; AUC, 0.605; p=0.005) in patients with sepsis and septic shock. Kaplan-Meier survival curve analysis showed that patients with higher presepsin levels (≥821 pg/mL) had significantly higher mortality than patients with lower presepsin levels (<821 pg/mL) (log-rank test; p=0.004). Conclusions: Presepsin levels could effectively differentiate sepsis from non-infectious organ failure and septic shock from sepsis. Presepsin levels could help clinicians predict mortality in patients with sepsis and septic shock.

scholarly journals Clinicopathological Variables and Outcome in Chronic Myeloid Leukemia Associated With BCR-ABL1 Transcript Type and Body Weight: An Outcome of European LeukemiaNet Project

2021 ◽  
Vol 28 ◽  
pp. 107327482110384
Author(s):  
Mohammad A. J. Abdulla ◽  
Prem Chandra ◽  
Susanna El Akiki ◽  
Mahmood B. Aldapt ◽  
Sundus Sardar ◽  
...  
Keyword(s):  
Body Weight ◽  
Survival Curve ◽  
Statistical Significance ◽  
Response Assessment ◽  
Test Methods ◽  
Response To Treatment ◽  
Molecular Response ◽  
Kaplan Meier ◽  
Significant Difference ◽  
Transcript Type

Objective It is debatable whether BCR-ABL1 transcript type has an impact on outcome of treatment of patients with CML, and it is not widely studied whether body weight influences response to treatment. In this study, we tried to find out if any of these factors has an impact on response to treatment and outcome. Methodology We conducted a retrospective analysis of the files of 79 patients being treated in our center for CML with known BCR-ABL1 breakpoints, and patients’ management and response assessment was done based on ELN 2013 guidelines. The analysis was performed based on two main groups, obese vs. normal BMI, and then based on BCR-ABL1 transcripts: e13a2 vs. e14a2. Cumulative incidence of MMR, CCyR, and DMR were estimated using the Kaplan–Meier survival curve method, and comparisons between groups were performed by the Log-rank/Gray test methods. Results/conclusion In the patient-cohort studied, there was no statistically significant difference in molecular response between patients with CML based on body weight or transcript type although patients in the obesity group achieved higher and faster MMR with no statistical significance.

Twenty-year outcomes in patients with newly diagnosed glaucoma: mortality and visual function

2018 ◽  
Vol 102 (12) ◽  
pp. 1663-1666
Author(s):  
Christopher King ◽  
Justin C Sherwin ◽  
Gokulan Ratnarajan ◽  
John F Salmon
Keyword(s):  
Visual Acuity ◽  
Visual Field ◽  
Open Angle Glaucoma ◽  
Survival Curve ◽  
Visual Outcome ◽  
Field Analysis ◽  
Time To Death ◽  
Kaplan Meier ◽  
Two Stages

Background/aimsTo determine the mortality within 20 years of diagnosis of chronic open-angle glaucoma (COAG) and visual acuity and visual field progression of a cohort followed for 20 years.MethodsTwenty years following the diagnosis of COAG in 68 of 436 (16%) patients seen in a glaucoma case-finding clinic, visual and mortality outcomes were audited from medical records. Causes of death were obtained from general practitioner records and death certificates. Probability of death was calculated using a Kaplan-Meier survival curve. The visual field of each eye of survivors was graded using a nine-stage severity scale. Visual outcome was analysed at the 20-year follow-up visit.ResultsFrom 68, 14 (21%) were lost to follow-up. In the remaining 54, 20 (37%) were alive 20 years after diagnosis. Of 63% who died, mean age of death was 84 years, most commonly due to vascular disease. Mean age at presentation of those who died was 73.7 years versus 63.2 years for survivors (P=0.001). The median time to death was 16 years. On visual field analysis, nearly half (48.9%) of eyes did not deteriorate, but 28.3% eyes deteriorated by more than two stages. Those who died had worse final visual acuity than survivors (P<0.001). Three who died were registered severely visually impaired mainly from macular disease, but no survivors were registered (P<0.001).ConclusionIn this cohort, approximately two-thirds of patients with glaucoma died within 20 years of diagnosis. In most older patients with glaucoma, the overall goal of preventing visual handicap and blindness is achievable 20 years after diagnosis.

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