Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Mar 16:16:665-675.
doi: 10.2147/COPD.S282694. eCollection 2021.

Prediction of Mortality Using Different COPD Risk Assessments - A 12-Year Follow-Up

Affiliations

Prediction of Mortality Using Different COPD Risk Assessments - A 12-Year Follow-Up

Åsa Athlin et al. Int J Chron Obstruct Pulmon Dis. .

Abstract

Purpose: A multidimensional approach in the risk assessment of chronic obstructive pulmonary disease (COPD) is preferable. The aim of this study is to compare the prognostic ability for mortality by different COPD assessment systems; spirometric staging, classification by GOLD 2011, GOLD 2017, the age, dyspnea, obstruction (ADO) and the dyspnea, obstruction, smoking, exacerbation (DOSE) indices.

Patients and methods: A total of 490 patients diagnosed with COPD were recruited from primary and secondary care in central Sweden in 2005. The cohort was followed until 2017. Data for categorization using the different assessment systems were obtained through questionnaire data from 2005 and medical record reviews between 2000 and 2003. Kaplan-Meier survival analyses and Cox proportional hazard models were used to assess mortality risk. Receiver operating characteristic curves estimated areas under the curve (AUC) to evaluate each assessment systems´ ability to predict mortality.

Results: By the end of follow-up, 49% of the patients were deceased. The mortality rate was higher for patients categorized as stage 3-4, GOLD D in both GOLD classifications and those with a DOSE score above 4 and ADO score above 8. The ADO index was most accurate for predicting mortality, AUC 0.79 (95% CI 0.75-0.83) for all-cause mortality and 0.80 (95% CI 0.75-0.85) for respiratory mortality. The AUC values for stages 1-4, GOLD 2011, GOLD 2017 and DOSE index were 0.73, 0.66, 0.63 and 0.69, respectively, for all-cause mortality.

Conclusion: All of the risk assessment systems predict mortality. The ADO index was in this study the best predictor and could be a helpful tool in COPD risk assessment.

Keywords: ADO index; DOSE index; GOLD classification; chronic obstructive pulmonary disease; mortality; prediction.

PubMed Disclaimer

Conflict of interest statement

Dr Karin Lisspers reports personal fees from Payments for lectures and educational activities, personal fees from Advisory board, outside the submitted work. The authors report no other conflicts of interest in this work.

Figures

Figure 1
Figure 1
Flowchart patient selection.
Figure 2
Figure 2
Mortality rate in each group for each assessment system. Stage refers to lung function, stage 1-FEV1% pred ≥80, stage 2-FEV1% pred 50–79, stage 3-FEV1% pred 30–49, stage 4-FEV1% pred <30.
Figure 3
Figure 3
Cumulative 12-year survival for different COPD assessment systems. Lung function, stage 1-FEV1% pred ≥80, stage 2-FEV1% pred 50–79, stage 3-FEV1% pred 30–49, stage 4-FEV1% pred <30.
Figure 4
Figure 4
Receiver-operator characteristics for different COPD assessment systems as predictors of all-cause mortality. Area under the curve (AUC) for each assessment system presented. Stage 1–4 refers to lung function.
Figure 5
Figure 5
Receiver-operator characteristics for different COPD assessment systems as predictors of respiratory mortality. Area under the curve (AUC) for each assessment system presented. Stage 1–4 refers to lung function.

Similar articles

Cited by

References

    1. Backman H, Eriksson B, Ronmark E, et al. Decreased prevalence of moderate to severe COPD over 15 years in northern Sweden. Respir Med. 2016;114:103–110. doi:10.1016/j.rmed.2016.03.013 - DOI - PubMed
    1. Stallberg B, Janson C, Johansson G, et al. Management, morbidity and mortality of COPD during an 11-year period: an observational retrospective epidemiological register study in Sweden (PATHOS). Prim Care Respir J. 2014;23(1):38–45. doi:10.4104/pcrj.2013.00106 - DOI - PMC - PubMed
    1. Lozano R, Naghavi M, Foreman K, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2095–2128. doi:10.1016/S0140-6736(12)61728-0 - DOI - PMC - PubMed
    1. Nishimura K, Izumi T, Tsukino M, Oga T. Dyspnea is a better predictor of 5-year survival than airway obstruction in patients with COPD. Chest. 2002;121(5):1434–1440. doi:10.1378/chest.121.5.1434 - DOI - PubMed
    1. Sundh J, Janson C, Lisspers K, Montgomery S, Stallberg B. Clinical COPD Questionnaire score (CCQ) and mortality. Int J Chron Obstruct Pulmon Dis. 2012;7:833–842. doi:10.2147/COPD.S38119 - DOI - PMC - PubMed