Maximum Expected Survival Rate Model for Public Access Defibrillator Placement

Resuscitation ◽  
2021 ◽  
Author(s):  
Ahmadreza Pourghaderi ◽  
Nikita Kogtikov ◽  
Michael H. Lees ◽  
Wentong Cai ◽  
Pin Pin Pek ◽  
...  
Keyword(s):  
Survival Rate ◽  
Public Access ◽  
Rate Model ◽  
Expected Survival Rate

scholarly journals ROLE OF COHORT TYPE EXPECTED SURVIVAL RATE FOR THE CALCULATION OF RELATIVE SURVIVAL RATE IN POST-OPERATIVE CANCER PATIENTS

1983 ◽  
Vol 44 (12) ◽  
pp. 1443-1447
Author(s):  
Kazuyo NAITO ◽  
Tsuguo TANAKA ◽  
Haruaki ISHIBASHI ◽  
Seishiro INABA ◽  
Hisakazu YAMAGISHI ◽  
...  
Keyword(s):  
Survival Rate ◽  
Cancer Patients ◽  
Relative Survival ◽  
Relative Survival Rate ◽  
Expected Survival Rate

Screening of Significant Biomarkers Related to Prognosis of Cervical Cancer and Functional Study Based on lncRNA-associated ceRNA Regulatory Network

2020 ◽  
Vol 23 ◽  
Author(s):  
Haiyan Ding ◽  
Li Zhang ◽  
Chunmiao Zhang ◽  
Jie Song ◽  
Ying Jiang
Keyword(s):  
Gene Expression ◽  
Cervical Cancer ◽  
Survival Rate ◽  
Recurrence Rate ◽  
Regulatory Network ◽  
Functional Study ◽  
High Recurrence Rate ◽  
Good Prediction ◽  
Rate Model ◽  
Prediction Ability

Background: Cervical cancer (CESC), which threatens the health of women, has a very high recurrence rate. Purposes: This study aimed to identify the signature long non-coding RNAs (lncRNAs) associated with the prognosis of CESC and predict the prognostic survival rate with the clinical risk factors. Results: We obtained 305 DERs significantly associated with prognosis. Afterwards, a risk score (RS) prediction model was established using the screened 5 signature lncRNAs associated with independently recurrence prognosis (DLEU1, LINC01119, RBPMS-AS1,RAD21-AS1and LINC00323). Subsequently, a nomogram recurrence rate model, proposed with Pathologic N and RS model status, was found to have good prediction ability for CESC. In ceRNA regulatory network,LINC00323 and DLEU1were hub nodes which targeted more miRNAs and mRNAs. After that, 15 GO terms and 3 KEGG pathways were associated with recurrence prognosis, and showed that the targeted genes PTK2, NRP1, PRKAA1and HMGCS1 may influence the prognosis of CESC. Methods: The CESC gene expression profiling data were downloaded from TCGA database and NCBI Gene Expression Omnibus. Afterwards, the differentially expressed RNAs (DERs) were screened using limma package of R software. R package "survival" was then used to screen the signature lncRNAs associated with independently recurrence prognosis, and a nomogram recurrence rate model based on these signature lncRNAs was constructed to predict the 3-year and 5-year survival probability of CESC. Fianlly, a competing endogenous RNAs (ceRNA) regulatory network was proposed to study the functions of these genes. Conclusion: The signature lncRNAs can help improve our understanding of the development and recurrence of CESC and the nomogram recurrence rate model can be applied to predict the survival rate of CESC patients in clinical practice.

Student Graduates and Population Prediction Using Cohort Survival Rate Model

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
REGINE MAE FABULAR ◽  
MARVIN SIGNAR ◽  
RONIE RYAN TAC-AN ◽  
CECILIO JR. ARRIOLA
Keyword(s):  
Survival Rate ◽  
Rate Model ◽  
Population Prediction

scholarly journals Association of school hours with outcomes of out-of-hospital cardiac arrest in schoolchildren

Heart Asia ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. e011236
Author(s):  
Akira Yamashita ◽  
Hisanori Kurosaki ◽  
Kohei Takada ◽  
Yoshio Tanaka ◽  
Yoshitaka Hamada ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cardiac Arrest ◽  
Survival Rate ◽  
Public Access ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Bystander Cardiopulmonary Resuscitation ◽  
Initial Rhythm ◽  
Major Factors ◽  
Hospital Cardiac Arrest

ObjectiveTo investigate the association of school hours with outcomes of schoolchildren with out-of-hospital cardiac arrest (OHCA).MethodsFrom the 2005–2014 nationwide databases, we extracted the data for 1660 schoolchildren (6–17 years) with bystander-witnessed OHCA. Univariate analyses followed by propensity-matching procedures and stepwise logistic regression analyses were applied. School hours were defined as 08:00 to 18:00.ResultsThe neurologically favourable 1-month survival rate during school hours was better than that during non-school hours only on school days: 18.4% and 10.5%, respectively. During school hours on school days, patients with OHCA more frequently received bystander cardiopulmonary resuscitation (CPR) and public access defibrillation (PAD), and had a shockable initial rhythm and presumed cardiac aetiology. The neurologically favourable 1-month survival rate did not significantly differ between school hours on school days and all other times of day after propensity score matching: 16.4% vs 16.1% (unadjusted OR 1.02; 95% CI 0.69 to 1.51). Stepwise logistic regression analysis during school hours on school days revealed that shockable initial rhythm (adjusted OR 2.44; 95% CI 1.12 to 5.42), PAD (adjusted OR 3.32; 95% CI 1.23 to 9.10), non-exogenous causes (adjusted OR 5.88; 95% CI 1.85 to 20.0) and a shorter emergency medical service (EMS) response time (adjusted OR 1.15; 95% CI 1.02 to 1.32) and witness-to-first CPR interval (adjusted OR 1.08; 95% CI 1.01 to 1.15) were major factors associated with an improved neurologically favourable 1-month survival rate.ConclusionsSchool hours are not an independent factor associated with improved outcomes of OHCA in schoolchildren. The time delays in CPR and EMS arrival were independently associated with poor outcomes during school hours on school days.

scholarly journals A Survival Rate Model for Naturally Regenerated Longleaf Pine

1997 ◽  
Vol 21 (2) ◽  
pp. 97-101 ◽  
Author(s):  
Harold E. Quicke ◽  
Ralph S. Meldahl ◽  
John S. Kush
Keyword(s):  
Survival Rate ◽  
Longleaf Pine ◽  
Survival Rates ◽  
Basal Area ◽  
Pinus Palustris ◽  
Rate Model ◽  
Individual Tree ◽  
Annual Survival ◽  
Permanent Sample Plots ◽  
Diameter Increment

Abstract An individual tree annual survival rate model was developed for naturally regenerated, even-aged longleaf pine (Pinus palustris Mill.). Development was based on 44,000 survival observations on 15,000 trees occurring on 202 permanent sample plots located in central and southern Alabama, southern Mississippi, southwest Georgia, and northern Florida. Variables used in the model were predicted diameter increment and diameter at breast height (dbh). Predicted annual survival rates ranged from 0.92 for a tree with a 1 in. dbh and an annual diameter increment of O.05 in., to over 0.99 for any tree larger than 6 in. in dbh. Stand level verification was based on 102 comparisons of observed and predicted trees per acre (tpa). Mean residuals, expressed as a percentage of observed final tpa, were 3% and 6% for projection periods of 5 and 10 yr, respectively. The model predicts noncatastrophic mortality. In conjunction with a basal area increment model, it can be used to predict changes in the structure of longleaf pine stands. South. J. Appl. For. 21(2):97-101.

790: Ten-Year Disease Free Survival Rate Calculated with PSA Cutpoint 0.2 NG/ML in Men After Brachytherapy for T1C Prostate Cancer

2004 ◽  
Vol 171 (4S) ◽  
pp. 209-209
Author(s):  
James B. Benton ◽  
Frank A. Critz ◽  
W. Hamilton Williams ◽  
Clinton T. Holladay ◽  
Philip D. Shrake
Keyword(s):  
Prostate Cancer ◽  
Survival Rate ◽  
Disease Free Survival ◽  
Free Survival ◽  
Disease Free Survival Rate ◽  
Disease Free

Gender differences in abdominal aortic aneurysm therapy – a systematic review

VASA ◽  
2018 ◽  
Vol 47 (4) ◽  
pp. 267-272 ◽  
Author(s):  
Konstanze Stoberock ◽  
Tilo Kölbel ◽  
Gülsen Atlihan ◽  
Eike Sebastian Debus ◽  
Nikolaos Tsilimparis ◽  
...  
Keyword(s):  
Gender Differences ◽  
Abdominal Aortic Aneurysm ◽  
Survival Rate ◽  
Aortic Aneurysm ◽  
Endovascular Treatment ◽  
Aortic Aneurysms ◽  
Lower Survival Rate ◽  
Lower Survival ◽  
Abdominal Aortic ◽  
Risk Of Rupture

Abstract. This article analyses if and to what extent gender differences exist in abdominal aortic aneurysm (AAA) therapy. For this purpose Medline (PubMed) was searched from January 1999 to January 2018. Keywords were: “abdominal aortic aneurysm”, “gender”, “prevalence”, “EVAR”, and “open surgery of abdominal aortic aneurysm”. Regardless of open or endovascular treatment of abdominal aortic aneurysms, women have a higher rate of complications and longer hospitalizations compared to men. The majority of studies showed that women have a lower survival rate for surgical and endovascular treatment of abdominal aneurysms after both elective and emergency interventions. Women receive less surgical/interventional and protective medical treatment. Women seem to have a higher risk of rupture, a lower survival rate in AAA, and a higher rate of complications, regardless of endovascular or open treatment. The gender differences may be due to a higher age of women at diagnosis and therapy associated with higher comorbidity, but also because of genetic, hormonal, anatomical, biological, and socio-cultural differences. Strategies for treatment in female patients must be further defined to optimize outcome.

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