Candidate predictors for development of prediction model for early prediction of Intensive Care Unit – acquired weakness.

Prediction Model for Critically Ill Patients with Acute Respiratory Distress Syndrome

Zhang Zhongheng
Ni Hongying

March 2015

Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care un...

Marco Ranucci (360634)
Andrea Ballotta (360635)
Serenella Castelvecchio (360636)
Ekaterina Baryshnikova (360637)
Simonetta Brozzi (360638)
Alessandra Boncilli (360639)

February 2013

Receiver operating characteristics analysis with area under the curve (AUC) for the logistic Euro...

Patients’ characteristics including risk factors proposed by the prediction models with stratification by severity and the absence or presence of the bleeding events.

João Antonio de Queiroz Oliveira (4653049)
Antonio Luiz Pinho Ribeiro (590427)
Daniel Dias Ribeiro (5873873)
Vandack Nobre (4175917)
Manoel Otávio da Costa Rocha (531354)
Maria Auxiliadora Parreiras Martins (5873876)

October 2018

Patients’ characteristics including risk factors proposed by the prediction models with stratificati...

Early prediction of intensive care unit-acquired weakness using easily available parameters: a prospective observational study.

Luuk Wieske
Esther Witteveen
Camiel Verhamme
Daniela S Dettling-Ihnenfeldt
Marike van der Schaaf
Marcus J Schultz
Ivo N van Schaik
Janneke Horn

An early diagnosis of Intensive Care Unit-acquired weakness (ICU-AW) using muscle strength assessmen...

Early Prediction of Intensive Care Unit–Acquired Weakness Using Easily Available Parameters: A Prospective Observational Study

Luuk Wieske (649645)
Esther Witteveen (649646)
Camiel Verhamme (649647)
Daniela S. Dettling-Ihnenfeldt (649648)
Marike van der Schaaf (649649)
Marcus J. Schultz (116652)
Ivo N. van Schaik (649650)
Janneke Horn (474013)

October 2014

<div>IntroductionAn early diagnosis of Intensive Care Unit–acquired weakness (ICU–AW) usin...

Early Prediction of Intensive Care Unit-Acquired Weakness: A Multicenter External Validation Study

Witteveen, Esther
Wieske, Luuk
Sommers, Juultje
Spijkstra, Jan-Jaap
de Waard, Monique C
Endeman, Henrik
Rijkenberg, Saskia
de Ruijter, Wouter
Sleeswijk, Mengalvio
Verhamme, Camiel
Schultz, Marcus J
van Schaik, Ivo N
Horn, Janneke

June 2020

Objectives: An early diagnosis of intensive care unit–acquired weakness (ICU-AW) is often not possib...

Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study

Witteveen, Esther
Wieske, Luuk
Sommers, Juultje
Spijkstra, Jan Jaap
de Waard, Monique C.
Endeman, Henrik
Rijkenberg, Saskia
de Ruijter, Wouter
Sleeswijk, Mengalvio
Verhamme, Camiel
Schultz, Marcus J.
van Schaik, Ivo N.
Horn, Janneke

June 2020

Objectives: An early diagnosis of intensive care unit–acquired weakness (ICU-AW) is often not possib...

Initial Definitions of Operational Readiness Levels for Disease Prediction Models.

Courtney D. Corley (539638)
Laura L. Pullum (539639)
David M. Hartley (398599)
Corey Benedum (539640)
Christine Noonan (539641)
Peter M. Rabinowitz (305294)
Mary J. Lancaster (539642)

March 2014

Initial Definitions of Operational Readiness Levels for Disease Prediction Models.</p

Clinical prediction models in critical illness: from computer to bedside

Flechet, M

November 2018

Critical Care Medicine is a relatively young and high-tech branch in modern medicine that combines c...

The Final Decision Tree Model that was Assessed for Prediction of ICU LOS.

Rocco J. LaFaro (841602)
Suryanarayana Pothula (841603)
Keshar Paul Kubal (841604)
Mario Emil Inchiosa (841605)
Venu M. Pothula (841606)
Stanley C. Yuan (841607)
David A. Maerz (841608)
Lucresia Montes (841609)
Stephen M. Oleszkiewicz (841610)
Albert Yusupov (841611)
Richard Perline (841612)
Mario Anthony Inchiosa Jr. (841613)

January 2016

The Final Decision Tree Model that was Assessed for Prediction of ICU LOS.</p

Predictors for the development of AKI, accepted in the logistic regression model.

Florica Gadalean (660997)
Mihaela Simu (4518049)
Florina Parv (4518040)
Ruxandra Vorovenci (4518037)
Raluca Tudor (4518043)
Adalbert Schiller (666444)
Romulus Timar (737790)
Ligia Petrica (660994)
Silvia Velciov (661000)
Cristina Gluhovschi (660999)
Flaviu Bob (661001)
Adelina Mihaescu (737793)
Bogdan Timar (599792)
Goce Spasovski (775375)
Viviana Ivan (4518046)

October 2017

Predictors for the development of AKI, accepted in the logistic regression model.</p

How to derive and validate clinical prediction models for use in intensive care medicine

Labarere, Jose
Bertrand, Renaud
Fine, M.J.

April 2014

International audienceBACKGROUND:Clinical prediction models are formal combinations of historical, p...

Predictors of the duration of hospital stay among patients with septic arthritis hospitalized with septic arthritis after presenting to the ER.

Jasvinder A. Singh (484385)
Shaohua Yu (28368)

August 2017

Predictors of the duration of hospital stay among patients with septic arthritis hospitalized wit...

Predicted number of ICU admissions, and percentage of total admissions accounted for by each group.

Patrick Saunders-Hastings (3559859)
Bryson Quinn Hayes (4109998)
Robert Smith? (4110001)
Daniel Krewski (226807)

June 2017

Predicted number of ICU admissions, and percentage of total admissions accounted for by each grou...

Predictive abilities of the ED qSOFA, prehospital qSOFA, and combined qSOFA for sepsis.

Ayaka Saito (12093770)
Itsuki Osawa (14675236)
Junichiro Shibata (682035)
Tomohiro Sonoo (10741941)
Kensuke Nakamura (2989272)
Tadahiro Goto (3467942)

February 2023

Predictive abilities of the ED qSOFA, prehospital qSOFA, and combined qSOFA for sepsis.</p

Prediction Model for Critically Ill Patients with Acute Respiratory Distress Syndrome

Zhang Zhongheng
Ni Hongying

March 2015

Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care un...

Predictive power of the models.

Marco Ranucci (360634)
Andrea Ballotta (360635)
Serenella Castelvecchio (360636)
Ekaterina Baryshnikova (360637)
Simonetta Brozzi (360638)
Alessandra Boncilli (360639)

February 2013

Receiver operating characteristics analysis with area under the curve (AUC) for the logistic Euro...

Patients’ characteristics including risk factors proposed by the prediction models with stratification by severity and the absence or presence of the bleeding events.

João Antonio de Queiroz Oliveira (4653049)
Antonio Luiz Pinho Ribeiro (590427)
Daniel Dias Ribeiro (5873873)
Vandack Nobre (4175917)
Manoel Otávio da Costa Rocha (531354)
Maria Auxiliadora Parreiras Martins (5873876)

October 2018

Patients’ characteristics including risk factors proposed by the prediction models with stratificati...

Early prediction of intensive care unit-acquired weakness using easily available parameters: a prospective observational study.

Luuk Wieske
Esther Witteveen
Camiel Verhamme
Daniela S Dettling-Ihnenfeldt
Marike van der Schaaf
Marcus J Schultz
Ivo N van Schaik
Janneke Horn

An early diagnosis of Intensive Care Unit-acquired weakness (ICU-AW) using muscle strength assessmen...

Early Prediction of Intensive Care Unit–Acquired Weakness Using Easily Available Parameters: A Prospective Observational Study

Luuk Wieske (649645)
Esther Witteveen (649646)
Camiel Verhamme (649647)
Daniela S. Dettling-Ihnenfeldt (649648)
Marike van der Schaaf (649649)
Marcus J. Schultz (116652)
Ivo N. van Schaik (649650)
Janneke Horn (474013)

October 2014

<div>IntroductionAn early diagnosis of Intensive Care Unit–acquired weakness (ICU–AW) usin...

Early Prediction of Intensive Care Unit-Acquired Weakness: A Multicenter External Validation Study

Witteveen, Esther
Wieske, Luuk
Sommers, Juultje
Spijkstra, Jan-Jaap
de Waard, Monique C
Endeman, Henrik
Rijkenberg, Saskia
de Ruijter, Wouter
Sleeswijk, Mengalvio
Verhamme, Camiel
Schultz, Marcus J
van Schaik, Ivo N
Horn, Janneke

June 2020

Objectives: An early diagnosis of intensive care unit–acquired weakness (ICU-AW) is often not possib...

Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study

Witteveen, Esther
Wieske, Luuk
Sommers, Juultje
Spijkstra, Jan Jaap
de Waard, Monique C.
Endeman, Henrik
Rijkenberg, Saskia
de Ruijter, Wouter
Sleeswijk, Mengalvio
Verhamme, Camiel
Schultz, Marcus J.
van Schaik, Ivo N.
Horn, Janneke

June 2020

Objectives: An early diagnosis of intensive care unit–acquired weakness (ICU-AW) is often not possib...

Initial Definitions of Operational Readiness Levels for Disease Prediction Models.

Courtney D. Corley (539638)
Laura L. Pullum (539639)
David M. Hartley (398599)
Corey Benedum (539640)
Christine Noonan (539641)
Peter M. Rabinowitz (305294)
Mary J. Lancaster (539642)

March 2014

Initial Definitions of Operational Readiness Levels for Disease Prediction Models.</p

Clinical prediction models in critical illness: from computer to bedside

Flechet, M

November 2018

Critical Care Medicine is a relatively young and high-tech branch in modern medicine that combines c...

The Final Decision Tree Model that was Assessed for Prediction of ICU LOS.

Rocco J. LaFaro (841602)
Suryanarayana Pothula (841603)
Keshar Paul Kubal (841604)
Mario Emil Inchiosa (841605)
Venu M. Pothula (841606)
Stanley C. Yuan (841607)
David A. Maerz (841608)
Lucresia Montes (841609)
Stephen M. Oleszkiewicz (841610)
Albert Yusupov (841611)
Richard Perline (841612)
Mario Anthony Inchiosa Jr. (841613)

January 2016

The Final Decision Tree Model that was Assessed for Prediction of ICU LOS.</p

Predictors for the development of AKI, accepted in the logistic regression model.

Florica Gadalean (660997)
Mihaela Simu (4518049)
Florina Parv (4518040)
Ruxandra Vorovenci (4518037)
Raluca Tudor (4518043)
Adalbert Schiller (666444)
Romulus Timar (737790)
Ligia Petrica (660994)
Silvia Velciov (661000)
Cristina Gluhovschi (660999)
Flaviu Bob (661001)
Adelina Mihaescu (737793)
Bogdan Timar (599792)
Goce Spasovski (775375)
Viviana Ivan (4518046)

October 2017

Predictors for the development of AKI, accepted in the logistic regression model.</p

How to derive and validate clinical prediction models for use in intensive care medicine

Labarere, Jose
Bertrand, Renaud
Fine, M.J.

April 2014

International audienceBACKGROUND:Clinical prediction models are formal combinations of historical, p...

Predictors of the duration of hospital stay among patients with septic arthritis hospitalized with septic arthritis after presenting to the ER.

Jasvinder A. Singh (484385)
Shaohua Yu (28368)

August 2017

Predictors of the duration of hospital stay among patients with septic arthritis hospitalized wit...

Predicted number of ICU admissions, and percentage of total admissions accounted for by each group.

Patrick Saunders-Hastings (3559859)
Bryson Quinn Hayes (4109998)
Robert Smith? (4110001)
Daniel Krewski (226807)

June 2017

Predicted number of ICU admissions, and percentage of total admissions accounted for by each grou...

Predictive abilities of the ED qSOFA, prehospital qSOFA, and combined qSOFA for sepsis.

Ayaka Saito (12093770)
Itsuki Osawa (14675236)
Junichiro Shibata (682035)
Tomohiro Sonoo (10741941)
Kensuke Nakamura (2989272)
Tadahiro Goto (3467942)

February 2023

Predictive abilities of the ED qSOFA, prehospital qSOFA, and combined qSOFA for sepsis.</p

Prediction Model for Critically Ill Patients with Acute Respiratory Distress Syndrome

Zhang Zhongheng
Ni Hongying

March 2015

Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care un...

Predictive power of the models.

Marco Ranucci (360634)
Andrea Ballotta (360635)
Serenella Castelvecchio (360636)
Ekaterina Baryshnikova (360637)
Simonetta Brozzi (360638)
Alessandra Boncilli (360639)

February 2013

Receiver operating characteristics analysis with area under the curve (AUC) for the logistic Euro...

Patients’ characteristics including risk factors proposed by the prediction models with stratification by severity and the absence or presence of the bleeding events.

João Antonio de Queiroz Oliveira (4653049)
Antonio Luiz Pinho Ribeiro (590427)
Daniel Dias Ribeiro (5873873)
Vandack Nobre (4175917)
Manoel Otávio da Costa Rocha (531354)
Maria Auxiliadora Parreiras Martins (5873876)

October 2018

Patients’ characteristics including risk factors proposed by the prediction models with stratificati...

Candidate predictors for development of prediction model for early prediction of Intensive Care Unit – acquired weakness.

Abstract

Extracted data

Candidate predictors for development of prediction model for early prediction of Intensive Care Unit – acquired weakness.

Abstract

Extracted data

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