Modelling survival data from hepatorenal syndrome acute kidney injury
Hepatorenal syndrome (HRS) is a common complication of advanced cirrhosis. It is characterised by renal failure and major disturbances in circulatory function and it is caused by intense vasoconstriction of the renal circulation. Liver transplantation is the treatment of choice for HRS. However, it...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/364893 |
| Acceso en línea: | https://hdl.handle.net/2117/364893 |
| Access Level: | acceso abierto |
| Palabra clave: | Survival analysis (Biometry) Medical statistics Survival Hazard Competing Landmark Multi-state Cirrhosis Kidney Hepatorenal Anàlisi de supervivència (Biometria) Estadística mèdica Classificació AMS::62 Statistics::62N Survival analysis and censored data Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| Sumario: | Hepatorenal syndrome (HRS) is a common complication of advanced cirrhosis. It is characterised by renal failure and major disturbances in circulatory function and it is caused by intense vasoconstriction of the renal circulation. Liver transplantation is the treatment of choice for HRS. However, it is not always possible owing to the short survival expectancy. Also, in the last years it has also been proved that the syndrome can be reversed by the simultaneous administration of albumin and arterial vasoconstrictors such as terlipressin. The main aim of this study is to assess the survival of HRS patients that are being treated with albumin, vasopressors or both of them and check whether their response to those treatments is determinant for their survival. To do so, classical competing risks analysis will be performed but also, some other techniques, such as the inclusion of time-varying covariates and the use of landmarking and multi-state models will be introduced. Finally, the results obtained with all the different methods will be compared and discussed. |
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