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Machine-learning monitoring system for predicting mortality among patients with noncancer end-stage liver disease - retrospective study

LIN, Yu-Jiun ; CHEN, Ray-Jade ; TANG, Jui-Hsiang ; YU, Cheng-Sheng ; WU, Jenny L. ; CHEN, Li-Chuan ; CHANG, Shy-Shin
JMIR medical informatics, 30/10/2020, vol.8, n°10, p. 1-16

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Atlas des soins palliatifs et de la fin de vie en France

COUSIN, François ; GONCALVES, Thomas ; Centre national des soins palliatifs et de la fin de vie
2020 , 101 p.

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Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit

MALEY, Jason H. ; WANIS, Kerollos N. ; YOUNG, Jessica G. ; CELI, Leo A.
BMJ health and care informatics, 10/2020, vol.27, n°3, p. 1-4

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A study protocol for the development of a multivariable model predicting 6- and 12-month mortality for people with dementia living in residential aged care facilities (RACFs) in Australia

BICKNELL, Ross ; LIM, Wen Kwang ; MAIER, Andrea B. ; LOGIUIDICE, Dina
Diagnostic and prognostic research, 2020, vol.4, p. 1-8

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Risk factors for mortality in nursing home residents - an observational study

GARCIA-GOLLARTE, José Fermín ; GARCIA-ANDRADE, María Montero ; SANTAEUGENIA-GONZALEZ, Sebastiá J. ; SOLA HERMIDA, José Carlos ; BAIXAULI-ALACREU, Susana ; SANTABALBINA, Francisco José Tarazona
Geriatrics, 08/10/2020, vol.5, n°4, p. 1-16

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Mortality risk for patients with stage IV cancer and acute illness hospitalization

HANSON, Laura C. ; ERNECOFF, Natalie C. ; WESSELL, Kathryn L. ; LIN, Feng-Chang ; MILOWSKY, Matthew I. ; COLLICHIO, Frances A. ; WOOD, William A. ; ROSENSTEIN, Donald L.
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 20/10/2020, Pagination inconnue

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Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with covid-19

PARCHURE, Prathamesh ; JOSHI, Himanshu ; DHARMARAJAN, Kavita ; FREEMAN, Robert ; REICH, David L. ; MAZUMDAR, Madhu ; TIMSINA, Prem ; KIA, Arash
BMJ supportive and palliative care, 22/09/2020, p. 1-8

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Death in delirious palliative-care patients occurs irrespective of age - a prospective, observational cohort study of 229 delirious palliative-care patients

SEILER, Annina ; BLUM, David ; HERTLER, Caroline ; SCHETTLE, Markus ; ZIPSER, Carl Moritz ; BODE, Leonie ; GEHRKE, Samuel ; ERNST, Jutta ; SCHUBERT, Maria ; VON KANEL, Roland ; BOETTGER, Soenke
Palliative and supportive care, 15/09/2020, p. 1-9

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Delirium at the end of life

KNOEPFEL, Silvana ; BODE, Leonie ; GEHRKE, Samuel ; SPILLER, Tobias ; FUCHS, Simon ; ERNST, Jutta ; VON KANEL, Roland ; BOETTGER, Soenke
Palliative and supportive care, 10/09/2020, p. 1-6

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Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites

MAJOR, Vincent J. ; APHINYANAPHONGS, Yindalon
BMC medical informatics and decision making, 07/09/2020, vol.20, n°1, p. 1-10

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Thème : Recherche - Evaluation - Méthodologie. Cote : eD15.00.02

PRONOSTIC ; MORTALITE ; MODELE

BACKGROUND: Automated systems that use machine learning to estimate a patient's risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpopulations especially for implemented systems.
METHODS: A prognostic study included adult admissions at a multi-site, academic medical center between 2015 and 2017. A predictive model for all-cause mortality (including initiation of hospice care) within 60,days of admission was developed. Model generalizability is assessed in temporal validation in the context of potential demographic bias. A subsequent prospective cohort study was conducted at the same sites between October 2018 and June 2019. Model performance during prospective validation was quantified with areas under the receiver operating characteristic and precision recall curves stratified by site. Prospective results include timeliness, positive predictive value, and the number of actionable predictions.
RESULTS: Three years of development data included 128,941 inpatient admissions (94,733 unique patients) across sites where patients are mostly white (61%) and female (60%) and 4.2% led to death within 60 days. A random forest model incorporating 9614 predictors produced areas under the receiver operating characteristic and precision recall curves of 87.2 (95% CI, 86.1-88.2) and 28.0 (95% CI, 25.0-31.0) in temporal validation. Performance marginally diverges within sites as the patient mix shifts from development to validation (patients of one site increases from 10 to 38%). Applied prospectively for nine months, 41,728 predictions were generated in real-time (median [IQR], 1.3 [0.9, 32] minutes). An operating criterion of 75% positive predictive value identified 104 predictions at very high risk (0.25%) where 65% (50 from 77 well-timed predictions) led to death within 60 days.
CONCLUSION: Temporal validation demonstrates good model discrimination for 60-day mortality. Slight performance variations are observed across demographic subpopulations. The model was implemented prospectively and successfully produced meaningful estimates of risk within minutes of admission.

Origine : PubMed

National trends in hospice facility deaths in the United States, 2003-2017

CROSS, Sarah H. ; KAUFMAN, Brystana G. ; QUEST, Tammie E. ; WARRAICH, Haider J.
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 25/08/2020, p. 1-8

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Do-not-resuscitate orders in patients with community-acquired pneumonia - a retrospective study

EGELUND, Gertrud Baunbæk ; JENSEN, Andreas Vestergaard ; PETERSEN, Pelle Trier ; ANDERSEN, Stine Bang ; LINDHARDT, Bjarne Ørskov ; ROHDE, Gernot ; RAVN, Pernille ; VON PLESSEN, Christian
BMC pulmonary medicine, 24/07/2020, vol.20, n°1, p. 1-8

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Changing patterns of mortality during the covid-19 pandemic - population-based modelling to understand palliative care implications

BONE, Anna E. ; FINUCANE, Anne M. ; LENIZ, Javiera ; HIGGINSON, Irene J. ; SLEEMAN, Katherine E.
PALLIATIVE MEDICINE, 24/07/2020, p. 1193-1201

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Prediction model for death in patients with pulmonary tuberculosis accompanied by respiratory failure in ICU - retrospective study

LIU, Qiuyue ; GAO, Jingtao ; LUO, Baojian ; LIU, Junting ; ZHANG, Lin ; KANG, Wanli ; HAN, Fen
Annals of palliative medicine, 30/07/2020, p. 1-10

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Treatment restrictions and the risk of death in patients with ischemic stroke or intracerebral hemorrhage

REININK, Hendrik ; KONYA, Burak ; GEURTS, Marjolein ; KAPPELLE, L. Jaap ; VAN DER WORP, H. Bart
Stroke, 09/2020, vol.15, n°9, p. 2683-2689

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Cause of death for people with end-stage kidney disease withdrawing from treatment in Australia and New Zealand

KHOU, Victor ; DE LA MATA, Nicole L. ; MORTON, Rachael L. ; KELLY, Patrick J. ; WEBSTER, Angela C.
Nephrology, dialysis, transplantation, 04/08/2020, Pagination inconnue

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Palliative care for nursing home patients with dementia - service evaluation and risk factors of mortality

CHU, Chih-Pang ; HUANG, Cho-Yin ; KUO, Chian-Jue ; CHEN, Ying-Yeh ; CHEN, Chun-Tse ; YANG, Tien-Wei ; LIU, Hsing-Cheng
BMC palliative care, 12/08/2020, vol.19, n°1, p. 1-10

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Relationship between newly established perioperative DNR status and perioperative outcomes in the elderly population - a NSQIP database analysis

BROVMAN, Ethan Y. ; MOTEJUNAS, Mark W. ; BONNEVAL, Lauren A. ; WHANG, Edward E. ; KAYE, Alan D. ; URMAN, Richard D.
JOURNAL OF PALLIATIVE CARE, 28/07/2020, Pagination inconnue

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Palliative care utilization among patients with covid-19 in an underserved population - a single-center retrospective study

HAYDAR, Ali ; LO, Kevin Bryan ; GOYAL, Abhinav ; GUL, Fahad ; PETERSON, Eric ; BHARGAV, Ruchika ; DEJOY, Robert ; SALACUP, Grace ; PELAYO, Jerald ; ALBANO, Jeri ; AZMAIPARASHVILI, Zurab ; ANSARI, Huma ; APONTE, Gabriel Patarroyo
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 08/2020, vol.60, n°2, p. e18-e21

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The impact of the covid-19 pandemic on cancer deaths due to delays in diagnosis in England, UK - a national, population-based, modelling study

MARINGE, Camille ; SPICER, James ; MORRIS, Melanie ; PURUSHOTHAM, Arnie ; NOLTE, Ellen ; SULLIVAN, Richard ; RACHET, Bernard ; AGGARWAL, Ajay
The Lancet. Oncology, 08/2020, vol.21, n°8, p. 1023-1034

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