Landmark prediction of nosocomial infection risk to disentangle short- and long-stay patients

M. Wolkewitz; M. Zortel; M. Palomar-Martinez; F. Alvarez-Lerma; P. Olaechea-Astigarraga; M. Schumacher

doi:10.1016/j.jhin.2017.01.017

Landmark prediction of nosocomial infection risk to disentangle short- and long-stay patients

M. Wolkewitz, M. Zortel, M. Palomar-Martinez, F. Alvarez-Lerma, P. Olaechea-Astigarraga, M. Schumacher

Producció científica: Contribució a revista › Article › Recerca › Avaluat per experts

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© 2017 The Healthcare Infection Society Length of stay is one of the key determinants for the risk of nosocomial infections. The distribution of this at-risk time is heavily skewed and depends on discharge or death. This study applied landmark competing risk prediction models to account for a large proportion of short-stay patients and a small proportion of long-stay patients.

Idioma original	Anglès
Pàgines (de-a)	81-84
Revista	Journal of Hospital Infection
Volum	96
Número	1
DOIs	https://doi.org/10.1016/j.jhin.2017.01.017
Estat de la publicació	Publicada - 1 de maig 2017

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10.1016/j.jhin.2017.01.017

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title = "Landmark prediction of nosocomial infection risk to disentangle short- and long-stay patients",

abstract = "{\textcopyright} 2017 The Healthcare Infection Society Length of stay is one of the key determinants for the risk of nosocomial infections. The distribution of this at-risk time is heavily skewed and depends on discharge or death. This study applied landmark competing risk prediction models to account for a large proportion of short-stay patients and a small proportion of long-stay patients.",

keywords = "Competing risks, Hospital mortality, Hospital-acquired infections, Length of stay, Time-to-event analysis",

author = "M. Wolkewitz and M. Zortel and M. Palomar-Martinez and F. Alvarez-Lerma and P. Olaechea-Astigarraga and M. Schumacher",

year = "2017",

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AU - Wolkewitz, M.

AU - Zortel, M.

AU - Palomar-Martinez, M.

AU - Alvarez-Lerma, F.

AU - Olaechea-Astigarraga, P.

AU - Schumacher, M.

PY - 2017/5/1

Y1 - 2017/5/1

N2 - © 2017 The Healthcare Infection Society Length of stay is one of the key determinants for the risk of nosocomial infections. The distribution of this at-risk time is heavily skewed and depends on discharge or death. This study applied landmark competing risk prediction models to account for a large proportion of short-stay patients and a small proportion of long-stay patients.

AB - © 2017 The Healthcare Infection Society Length of stay is one of the key determinants for the risk of nosocomial infections. The distribution of this at-risk time is heavily skewed and depends on discharge or death. This study applied landmark competing risk prediction models to account for a large proportion of short-stay patients and a small proportion of long-stay patients.

KW - Competing risks

KW - Hospital mortality

KW - Hospital-acquired infections

KW - Length of stay

KW - Time-to-event analysis

U2 - 10.1016/j.jhin.2017.01.017

DO - 10.1016/j.jhin.2017.01.017

M3 - Article

SN - 0195-6701

VL - 96

SP - 81

EP - 84

JO - Journal of Hospital Infection

JF - Journal of Hospital Infection

IS - 1

ER -

Landmark prediction of nosocomial infection risk to disentangle short- and long-stay patients

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