Literature DB >> 19645759

Modelling the impact of an influenza A/H1N1 pandemic on critical care demand from early pathogenicity data: the case for sentinel reporting.

A Ercole1, B L Taylor, A Rhodes, D K Menon.   

Abstract

Projected critical care demand for pandemic influenza H1N1 in England was estimated in this study. The effect of varying hospital admission rates under statistical uncertainty was examined. Early in a pandemic, uncertainty in epidemiological parameters leads to a wide range of credible scenarios, with projected demand ranging from insignificant to overwhelming. However, even small changes to input assumptions make the major incident scenario increasingly likely. Before any cases are admitted to hospital, 95% confidence limit on admission rates led to a range in predicted peak critical care bed occupancy of between 0% and 37% of total critical care bed capacity, half of these cases requiring ventilatory support. For hospital admission rates above 0.25%, critical care bed availability would be exceeded. Further, only 10% of critical care beds in England are in specialist paediatric units, but best estimates suggest that 30% of patients requiring critical care will be children. Paediatric intensive care facilities are likely to be quickly exhausted and suggest that older children should be managed in adult critical care units to allow resource optimisation. Crucially this study highlights the need for sentinel reporting and real-time modelling to guide rational decision making.

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Year:  2009        PMID: 19645759     DOI: 10.1111/j.1365-2044.2009.06070.x

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  22 in total

1.  Triaging for adult critical care in the event of overwhelming need.

Authors:  Nigel Eastman; Barbara Philips; Andrew Rhodes
Journal:  Intensive Care Med       Date:  2010-03-27       Impact factor: 17.440

Review 2.  Health systems' "surge capacity": state of the art and priorities for future research.

Authors:  Samantha K Watson; James W Rudge; Richard Coker
Journal:  Milbank Q       Date:  2013-03       Impact factor: 4.911

3.  Model-Based Recursive Partitioning of Patients' Return Visits to Multispecialty Clinic During the 2009 H1N1 Pandemic Influenza (pH1N1).

Authors:  Osaro Mgbere; Salma Khuwaja
Journal:  Online J Public Health Inform       Date:  2020-05-16

4.  ICU Resource Limitations During Peak Seasonal Influenza: Results of a 2018 National Feasibility Study.

Authors:  Christianne Joy Lane; Manas Bhatnagar; Karen Lutrick; Ryan C Maves; Debra Weiner; Daisy Rios Olvera; Timothy M Uyeki; J Perren Cobb; Joan C Brown
Journal:  Crit Care Explor       Date:  2022-01-05

5.  Interest of a simple on-line screening registry for measuring ICU burden related to an influenza pandemic.

Authors:  Jean-Christophe Marie Richard; Tài Pham; Christian Brun-Buisson; Jean Reignier; Alain Mercat; Gaëtan Beduneau; Bernard Régnier; Bruno Mourvillier; Christophe Guitton; Matthias Castanier; Alain Combes; Yves Le Tulzo; Laurent Brochard
Journal:  Crit Care       Date:  2012-07-09       Impact factor: 9.097

6.  Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic.

Authors:  Duygu Balcan; Vittoria Colizza; Andrew C Singer; Christos Chouaid; Hao Hu; Bruno Gonçalves; Paolo Bajardi; Chiara Poletto; Jose J Ramasco; Nicola Perra; Michele Tizzoni; Daniela Paolotti; Wouter Van den Broeck; Alainjacques Valleron; Alessandro Vespignani
Journal:  PLoS Curr       Date:  2009-12-07

7.  Identification of Influenza Cases During the H1N1 Pandemic in Massachusetts Using Population-Based Hospital Discharge Data.

Authors:  Hilary Placzek; Larry Madoff
Journal:  PLoS Curr       Date:  2011-08-14

8.  The ongoing H1N1 flu pandemic and the intensive care community: challenges, opportunities, and the duties of scientific societies and intensivists.

Authors:  Rui P Moreno; Andrew Rhodes; Jean-Daniel Chiche
Journal:  Intensive Care Med       Date:  2009-10-20       Impact factor: 17.440

9.  An analysis of health system resources in relation to pandemic response capacity in the Greater Mekong Subregion.

Authors:  Piya Hanvoravongchai; Irwin Chavez; James W Rudge; Sok Touch; Weerasak Putthasri; Pham Ngoc Chau; Bounlay Phommasack; Pratap Singhasivanon; Richard Coker
Journal:  Int J Health Geogr       Date:  2012-12-14       Impact factor: 3.918

10.  Development of a resource modelling tool to support decision makers in pandemic influenza preparedness: The AsiaFluCap Simulator.

Authors:  Mart Lambertus Stein; James W Rudge; Richard Coker; Charlie van der Weijden; Ralf Krumkamp; Piya Hanvoravongchai; Irwin Chavez; Weerasak Putthasri; Bounlay Phommasack; Wiku Adisasmito; Sok Touch; Le Minh Sat; Yu-Chen Hsu; Mirjam Kretzschmar; Aura Timen
Journal:  BMC Public Health       Date:  2012-10-12       Impact factor: 3.295

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