BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a debilitating and progressive disease. The severity of the condition has typically been characterized by a single physiological measurement: forced expiratory volume in 1 second, which has been shown to be prognostic for mortality. METHODS: To develop a prognostic tool for COPD that is sensitive not only to mortality but also to other important drivers of health status and cost, data were obtained from a pooled analysis of 12 randomized controlled trials and 3 main outcomes were chosen: mortality, hospitalization, and number of exacerbations. Cox models were employed for the time-to-event data (death or hospitalization), and a negative binomial model was used for calculating the count data (exacerbations). From these models, 3 specific indexes were developed on a 100-point scale, and 1 composite index was obtained as a mean of the specific indexes. One-third of the data was reserved for validation purposes. RESULTS: All indexes provided good discrimination among tertiles in the training and validation samples. The composite index had a performance very similar to that of the specific index in both the training and validation samples: the overall C statistic was estimated as 0.71 for both mortality and hospitalization. Each 10-point change in the composite index corresponds to an increase of 54% in the hazard ratio of death, 57% in the hazard ratio of hospitalization, and 21% in the incidence rate of exacerbations. CONCLUSIONS: A composite index for COPD prognosis (the COPD Prognostic Index) has been validated in data not used in its development and is capable of predicting not only mortality, but also hospitalizations and exacerbations. All factors included in the index are straightforward to obtain, which should make the index suitable for use in primary as well as secondary care settings.
BACKGROUND:Chronic obstructive pulmonary disease (COPD) is a debilitating and progressive disease. The severity of the condition has typically been characterized by a single physiological measurement: forced expiratory volume in 1 second, which has been shown to be prognostic for mortality. METHODS: To develop a prognostic tool for COPD that is sensitive not only to mortality but also to other important drivers of health status and cost, data were obtained from a pooled analysis of 12 randomized controlled trials and 3 main outcomes were chosen: mortality, hospitalization, and number of exacerbations. Cox models were employed for the time-to-event data (death or hospitalization), and a negative binomial model was used for calculating the count data (exacerbations). From these models, 3 specific indexes were developed on a 100-point scale, and 1 composite index was obtained as a mean of the specific indexes. One-third of the data was reserved for validation purposes. RESULTS: All indexes provided good discrimination among tertiles in the training and validation samples. The composite index had a performance very similar to that of the specific index in both the training and validation samples: the overall C statistic was estimated as 0.71 for both mortality and hospitalization. Each 10-point change in the composite index corresponds to an increase of 54% in the hazard ratio of death, 57% in the hazard ratio of hospitalization, and 21% in the incidence rate of exacerbations. CONCLUSIONS: A composite index for COPD prognosis (the COPD Prognostic Index) has been validated in data not used in its development and is capable of predicting not only mortality, but also hospitalizations and exacerbations. All factors included in the index are straightforward to obtain, which should make the index suitable for use in primary as well as secondary care settings.
Authors: MeiLan K Han; Alvar Agusti; Peter M Calverley; Bartolome R Celli; Gerard Criner; Jeffrey L Curtis; Leonardo M Fabbri; Jonathan G Goldin; Paul W Jones; William Macnee; Barry J Make; Klaus F Rabe; Stephen I Rennard; Frank C Sciurba; Edwin K Silverman; Jørgen Vestbo; George R Washko; Emiel F M Wouters; Fernando J Martinez Journal: Am J Respir Crit Care Med Date: 2010-06-03 Impact factor: 21.405
Authors: Afisi S Ismaila; Nancy Risebrough; Melanie Schroeder; Dhvani Shah; Alan Martin; Emma C Goodall; Kerigo Ndirangu; Gerard Criner; Mark Dransfield; David Mg Halpin; MeiLan K Han; David A Lomas Journal: Int J Chron Obstruct Pulmon Dis Date: 2019-11-29
Authors: Nitin Mehrotra; Amado X Freire; Douglas C Bauer; Tamara B Harris; Anne B Newman; Stephen B Kritchevsky; Bernd Meibohm Journal: Ann Epidemiol Date: 2010-03 Impact factor: 3.797
Authors: Wouter D van Dijk; Lisette van den Bemt; Saskia van den Haak-Rongen; Erik Bischoff; Chris van Weel; Johannes C C M in 't Veen; Tjard R J Schermer Journal: Respir Res Date: 2011-11-14
Authors: Lucas M A Goossens; Christine L Baker; Brigitta U Monz; Kelly H Zou; Maureen P M H Rutten-van Mölken Journal: Int J Chron Obstruct Pulmon Dis Date: 2011-12-06
Authors: Barry J Make; Göran Eriksson; Peter M Calverley; Christine R Jenkins; Dirkje S Postma; Stefan Peterson; Ollie Östlund; Antonio Anzueto Journal: Int J Chron Obstruct Pulmon Dis Date: 2015-01-27
Authors: Frank Trudo; David M Kern; Jill R Davis; Ozgur Tunceli; Siting Zhou; Emma L Graham; Charlie Strange; Setareh A Williams Journal: Int J Chron Obstruct Pulmon Dis Date: 2015-09-28
Authors: Lara Siebeling; Jammbe Z Musoro; Ronald B Geskus; Marco Zoller; Patrick Muggensturm; Anja Frei; Milo A Puhan; Gerben ter Riet Journal: NPJ Prim Care Respir Med Date: 2014-08-28 Impact factor: 2.871
Authors: Russell P Bowler; Victor Kim; Elizabeth Regan; André A A Williams; Stephanie A Santorico; Barry J Make; David A Lynch; John E Hokanson; George R Washko; Peter Bercz; Xavier Soler; Nathaniel Marchetti; Gerard J Criner; Joe Ramsdell; MeiLan K Han; Dawn Demeo; Antonio Anzueto; Alejandro Comellas; James D Crapo; Mark Dransfield; J Michael Wells; Craig P Hersh; Neil MacIntyre; Fernando Martinez; Hrudaya P Nath; Dennis Niewoehner; Frank Sciurba; Amir Sharafkhaneh; Edwin K Silverman; Edwin J R van Beek; Carla Wilson; Christine Wendt; Robert A Wise Journal: Chest Date: 2014-10 Impact factor: 9.410