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UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER

A prognosis of less than 6 months life expectancy has potential to be useful in planning and evaluating end-of-life care; however, its agreement with actual survival data has not been assessed. Here, we measured the sensitivity, specificity, positive predictive value (PPV), and negative predictive v...

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Autores principales: Vu, Long, Warner, David, Schiltz, Nicholas, Rose, Johnie, Cullen, Jennifer, Owusu, Cynthia, Sajatovic, Martha, Douglas, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770449/
http://dx.doi.org/10.1093/geroni/igac059.2318
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author Vu, Long
Warner, David
Schiltz, Nicholas
Rose, Johnie
Cullen, Jennifer
Owusu, Cynthia
Sajatovic, Martha
Douglas, Sara
author_facet Vu, Long
Warner, David
Schiltz, Nicholas
Rose, Johnie
Cullen, Jennifer
Owusu, Cynthia
Sajatovic, Martha
Douglas, Sara
author_sort Vu, Long
collection PubMed
description A prognosis of less than 6 months life expectancy has potential to be useful in planning and evaluating end-of-life care; however, its agreement with actual survival data has not been assessed. Here, we measured the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the nursing home (NH) Minimum Data Set (MDS) 6-month prognosis indicator among individuals diagnosed with incident breast (female), colorectal, lung, pancreatic, or prostate cancer during the years 2004-2017 and admitted to a NH between 2012-2017 (n=254,183). Cancer patients were identified from the linked Surveillance, Epidemiology, and End Results (SEER) Registry. The median age was 80 years, 52.6% were women, and 15.15% were non-White. Only 7,541 (2.97%) of patients were deemed by a physician to have a life expectancy of less than 6 months as recorded in their first comprehensive MDS assessment; of those, 83.0% died within 6 months, and 12.3% died after 6 months. Sensitivity and specificity were 7.8% and 99.3%, respectively, for the prognosis indicator predicting mortality within 6 months; PPV was 83.0% and NPV was 69.9%. In conclusion, although very few patients had received a physician designation of their 6-month prognosis, a high percentage actually died within 6 months. Conversely, among those without a 6-month prognosis, nearly one-third died within 6 months. A terminal diagnosis appears reasonably predictive of death — when made. However, its low sensitivity demonstrates that a vast majority of terminal patients are not properly captured, calling into question its greater application.
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spelling pubmed-97704492022-12-22 UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER Vu, Long Warner, David Schiltz, Nicholas Rose, Johnie Cullen, Jennifer Owusu, Cynthia Sajatovic, Martha Douglas, Sara Innov Aging Abstracts A prognosis of less than 6 months life expectancy has potential to be useful in planning and evaluating end-of-life care; however, its agreement with actual survival data has not been assessed. Here, we measured the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the nursing home (NH) Minimum Data Set (MDS) 6-month prognosis indicator among individuals diagnosed with incident breast (female), colorectal, lung, pancreatic, or prostate cancer during the years 2004-2017 and admitted to a NH between 2012-2017 (n=254,183). Cancer patients were identified from the linked Surveillance, Epidemiology, and End Results (SEER) Registry. The median age was 80 years, 52.6% were women, and 15.15% were non-White. Only 7,541 (2.97%) of patients were deemed by a physician to have a life expectancy of less than 6 months as recorded in their first comprehensive MDS assessment; of those, 83.0% died within 6 months, and 12.3% died after 6 months. Sensitivity and specificity were 7.8% and 99.3%, respectively, for the prognosis indicator predicting mortality within 6 months; PPV was 83.0% and NPV was 69.9%. In conclusion, although very few patients had received a physician designation of their 6-month prognosis, a high percentage actually died within 6 months. Conversely, among those without a 6-month prognosis, nearly one-third died within 6 months. A terminal diagnosis appears reasonably predictive of death — when made. However, its low sensitivity demonstrates that a vast majority of terminal patients are not properly captured, calling into question its greater application. Oxford University Press 2022-12-20 /pmc/articles/PMC9770449/ http://dx.doi.org/10.1093/geroni/igac059.2318 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Vu, Long
Warner, David
Schiltz, Nicholas
Rose, Johnie
Cullen, Jennifer
Owusu, Cynthia
Sajatovic, Martha
Douglas, Sara
UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER
title UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER
title_full UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER
title_fullStr UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER
title_full_unstemmed UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER
title_short UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER
title_sort utility of six-month prognosis to predict survival among newly admitted nursing home residents with cancer
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770449/
http://dx.doi.org/10.1093/geroni/igac059.2318
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