Literature DB >> 23683556

Clinical model for predicting prolonged mechanical ventilation.

Paul A Clark1, Christopher J Lettieri.   

Abstract

INTRODUCTION: Mechanical ventilation (MV) predisposes patients to numerous complications, which increases with longer durations of treatment. Identifying individuals more likely to require prolonged MV (PMV) may alter ventilation strategies or potentially minimize the duration of therapy and its associated complications. Our aim was to identify clinical variables at the time of intubation that could identify individuals who will require PMV.
METHODS: One hundred thirty consecutive adult patients requiring MV support in a medical intensive care unit (ICU)were retrospectively assessed. Prolonged MV was defined as MV support more than 14 days.
RESULTS: Mean age was 62.3±21.1 years, 64.6% were men, and mean duration of MV support was 11.4±11.9 days. Prolonged MV was required in 31.3%. Requiring intubation after admission to the ICU, heart rate greater than 110, blood urea nitrogen more than 25 mg/dL, serum pH less than 7.25, serum creatinine more than 2.0 mg/dL, and a HCO3 less than 20 mEq/L were the only variables independently associated with PMV. Specificity for predicting PMV was 100% with 4 or more of these variables.
CONCLUSION: The novel predictive model, using Intubation in the ICU, Tachycardia, Renal dysfunction, Acidemia, elevated Creatinine, and a decreased HCO3, was highly specific in identifying patients who subsequently required PMV support and performed better than Acute Physiology Age Chronic Health Evaluation III. Published by Elsevier Inc.

Entities:  

Keywords:  Mechanical ventilatory support; Medical intensive care unit; Predictive model; Prolonged mechanical ventilation; Tracheostomy

Mesh:

Year:  2013        PMID: 23683556     DOI: 10.1016/j.jcrc.2013.03.013

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  11 in total

1.  icuARM-II: improving the reliability of personalized risk prediction in pediatric intensive care units.

Authors:  Chih-Wen Cheng; Nikhil Chanani; Kevin Maher
Journal:  ACM BCB       Date:  2014-09

2.  Improving Personalized Clinical Risk Prediction Based on Causality-Based Association Rules.

Authors:  Chih-Wen Cheng; May D Wang
Journal:  ACM BCB       Date:  2015-09

3.  Duration of Postoperative Mechanical Ventilation as a Quality Metric for Pediatric Cardiac Surgical Programs.

Authors:  Michael Gaies; David K Werho; Wenying Zhang; Janet E Donohue; Sarah Tabbutt; Nancy S Ghanayem; Mark A Scheurer; John M Costello; J William Gaynor; Sara K Pasquali; Justin B Dimick; Mousumi Banerjee; Steven M Schwartz
Journal:  Ann Thorac Surg       Date:  2017-10-05       Impact factor: 4.330

4.  APACHE II score cannot predict successful weaning from prolonged mechanical ventilation.

Authors:  Anna Rojek-Jarmuła; Rainer Hombach; Łukasz J Krzych
Journal:  Chron Respir Dis       Date:  2017-02-24       Impact factor: 2.444

5.  Patient- and family-centered performance measures focused on actionable processes of care for persistent and chronic critical illness: protocol for a systematic review.

Authors:  Louise Rose; Laura Istanboulian; Laura Allum; Lisa Burry; Craig Dale; Nicholas Hart; Claire Kydonaki; Pam Ramsay; Natalie Pattison; Bronwen Connolly
Journal:  Syst Rev       Date:  2017-04-17

Review 6.  Chronic critical illness: are we saving patients or creating victims?

Authors:  Sergio Henrique Loss; Diego Silva Leite Nunes; Oellen Stuani Franzosi; Gabriela Soranço Salazar; Cassiano Teixeira; Silvia Regina Rios Vieira
Journal:  Rev Bras Ter Intensiva       Date:  2017 Jan-Mar

7.  Prognostic factors among critically ill patients with community-acquired acute bacterial meningitis and acute kidney injury.

Authors:  Sérgio Luiz Arruda Parente Filho; Livia Maria Barbosa Lima; Gilberto Loiola de Alencar Dantas; Débora de Almeida Silva; Victor de Matos Rolim; Antônio Mendes Ponte de Oliveira Filho; Iamê Tavares Vale E Melo; Geraldo Bezerra da Silva Junior; Elizabeth De Francesco Daher
Journal:  Rev Bras Ter Intensiva       Date:  2018 Apr-Jun

Review 8.  Predictors of prolonged mechanical ventilation in patients admitted to intensive care units: A systematic review.

Authors:  Sanniya Khan Ghauri; Arslaan Javaeed; Khawaja Junaid Mustafa; Abdus Salam Khan
Journal:  Int J Health Sci (Qassim)       Date:  2019 Nov-Dec

9.  Prediction of mechanical ventilation greater than 24 hours in critically ill obstetric patients: ten years of data from a tertiary teaching hospital in mainland China.

Authors:  Huiying Zhao; Guangjie Wang; Jie Lyu; Xiaohong Zhang; Youzhong An
Journal:  BMC Pregnancy Childbirth       Date:  2021-01-09       Impact factor: 3.007

10.  Predictors of prolonged mechanical ventilation identified at an emergency visit for elderly people: A retrospective cohort study.

Authors:  Hideki Mori; Kazumi Yamasaki; Takehiro Itoh; Yusuke Saishoji; Yuichi Torisu; Takahiro Mori; Yasumori Izumi
Journal:  Medicine (Baltimore)       Date:  2020-12-04       Impact factor: 1.817

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