scholarly journals Estimating a Logistic Weibull Mixture Models with Long–Term Survivors

Author(s):  
Mohd. Rizam Abu Bakar ◽  
Isa Daud ◽  
Noor Akma Ibrahim ◽  
Desi Rahmatina

Model gabungan mempostulatkan sebuah populasi yang terdiri daripada dua jenis individu iaitu peka dan kebal. Individu yang peka merupakan individu yang berisiko mengalami peristiwa terhadap kajian yang dibuat. Manakala individu yang kebal adalah individu yang tidak berisiko mengalami peristiwa tersebut. Kertas kerja ini memfokuskan kepada kovariat pada individu seperti umur, pembedahan dan pemindahan yang dihubungkan dengan kebarangkalian wujudnya kebal dalam sebuah model logistik Weibull dan menghuraikan kesan pemindahan jantung terhadap masa hayat seterusnya. Kata kunci: Model gabungan, model logistik Weibull mudah, model Weibull belahan, model logistik Weibull belahan The mixture model postulates a mixed population with two types of individuals, the susceptible and long–term survivors. The susceptibles are at the risk of developing the event under consideration. However, the long–term survivors or immune individuals will never experience the event. This paper focuses on the covariates associated with individuals such as age, surgery and transplant related to the probability of being immune in a logistic Weibull model and to evaluate the effect of heart transplantation on subsequent survival. Key words: Mixture model, simple logistic Weibull model, split Weibull model, split logistic Weibull model

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S585-S585
Author(s):  
Harry Cheung ◽  
Marwan M Azar ◽  
Geliang Gan ◽  
Yanhong Deng ◽  
Elizabeth A Cohen ◽  
...  

Abstract Background Kidney transplant recipients (KTR) are at increased risk for infections immediately post-transplant due to intense immunosuppression. However, this risk decreases over time as immunosuppression is tapered. The incidence of infection in KTR many years after transplant is not well characterized. The aim of this study was to describe these “very-late onset infections” (VLIs) ≥ 10 years after KT. Methods We performed a retrospective chart review of patients age ≥ 18 years who underwent KT between 2003 and 2009 and who survived ≥ 10 years post-KT. VLIs included opportunistic infections (OIs) and non-OIs. Demographics, comorbidities, immunosuppression, and clinical data for VLIs ≥ 10 years from KT were collected. Simple logistic regression was performed to determine characteristics associated with risk for VLIs. Results Of 332 KTR that met the inclusion criteria, the majority were male (62.0%), white (59.6%), and the largest proportion was transplanted between the ages of 50-59 (28.3%); 220 (67.9%) were on mycophenolate-based regimens. The mean Charlson Comorbidity Index (CCI) was 4.7 (S.D. 2.0). Of 332, 103 (31.0%) KTR experienced ≥ 1 VLI amounting to 187 episodes. Compared to those without VLI, KTR with VLI were more likely to have diabetes (p=0.005), cardiovascular disease (p=0.004), low ALC (p < 0.001) and require dialysis (p=0.002). Of 103 KTR with VLI, 16 (15.5%) had OIs, while 87 KTR (84.5%) had non-OIs, most commonly urinary tract infection (n=85, 45.5%), pneumonia (n=35, 18.7%) and gastrointestinal infection (n=18, 9.6%). The most commonly isolated pathogens were E. coli (n=30, 16%), K. pneumoniae (n=16, 8.6%), MSSA (n=7, 3.7%), and P. aeruginosa (n=7, 3.7%). Higher CCI, diabetes, dialysis, cerebrovascular, cardiovascular disease and lower ALC were associated with increased risk for VLI (p < 0.05), while living donor KTR was protective (p=0.04). Additionally, every 1 year after transplant was associated with an increased risk of VLI (OR=1.31, p < 0.001). Table 1: Demographics, comorbidities, immunosuppression, and clinical data for all patients Conclusion VLIs were common in long-term survivors of KT and included both conventional and opportunistic pathogens. Every additional year from transplant incurred additional risk for VLI, particularly for those with multiple co-morbidities and lower ALC. Disclosures All Authors: No reported disclosures


1994 ◽  
Vol 49 (2) ◽  
pp. 218-241 ◽  
Author(s):  
M.E. Ghitany ◽  
R.A. Maller ◽  
S. Zhou

2013 ◽  
Vol 17 (1) ◽  
pp. 76-86 ◽  
Author(s):  
Alexandre Andrade Anjos Jácome ◽  
Durval R. Wohnrath ◽  
Cristovam Scapulatempo Neto ◽  
Estela C. Carneseca ◽  
Sérgio V. Serrano ◽  
...  

Biometrics ◽  
2016 ◽  
Vol 72 (4) ◽  
pp. 1348-1357 ◽  
Author(s):  
Wei‐Wen Hsu ◽  
David Todem ◽  
KyungMann Kim

CHEST Journal ◽  
1999 ◽  
Vol 115 (5) ◽  
pp. 1305-1311 ◽  
Author(s):  
Ralf Ewert ◽  
Roland Wensel ◽  
Martin Bettmann ◽  
Susanne Spiegelsberger ◽  
Onnen Grauhan ◽  
...  

1997 ◽  
Vol 130 (6) ◽  
pp. 862-871 ◽  
Author(s):  
Gunnlaugur Sigfússon ◽  
F.Jay Fricker ◽  
Daniel Bernstein ◽  
Linda J. Addonizio ◽  
David Baum ◽  
...  

2007 ◽  
Vol 17 (3) ◽  
pp. 223-226 ◽  
Author(s):  
Manfred Hummel ◽  
Christoph Bara ◽  
Stephan Hirt ◽  
Axel Haverich ◽  
Roland Hetzer

Heart Rhythm ◽  
2005 ◽  
Vol 2 (9) ◽  
pp. 931-933 ◽  
Author(s):  
Leon M. Ptaszek ◽  
Paul J. Wang ◽  
Sharon A. Hunt ◽  
Hannah Valantine ◽  
Mark Perlroth ◽  
...  

1999 ◽  
Vol 10 (3) ◽  
pp. 109
Author(s):  
R Ewert ◽  
R Wensel ◽  
M Bettmann ◽  
S Spiegelsberger ◽  
O Grauhan ◽  
...  

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