Predicting walking-induced oxygen desaturations in COPD patients: A statistical model

Ernesto Crisafulli, Andrea Iattoni, Elena Venturelli, Gherardo Siscaro, Claudio Beneventi, Alfredo Cesario, Enrico M. Clini

Research output: Contribution to journalArticle

Abstract

BACKGROUND: Oxygen desaturation during walking can have important consequence on prognosis of COPD patients. However, a standard 6-min walk test (6MWT), useful in detecting desaturation in COPD patients, can be difficult to execute in some settings of COPD management, as in the community healthcare service. We evaluated a new scoring system for the risk of oxygen desaturation during walking in COPD patients: the walking desaturation score. METHODS: We collected data from symptomatic COPD in-patients admitted for rehabilitation (derivation cohort) and out-patients referred to the local community health service (validation cohort). SpO2 was monitored during 6MWT, and the subjects were classified as walking desaturators or non-desaturators. By a regression analysis model we assigned a weighted score proportional to the measured percentage of explained variance for each variable. Risk estimates were computed as odds ratios. A receiver operating characteristic curve analysis and a Hosmer-Lemeshow goodness-of-fit test were then performed to measure discrimination and calibration of walking desaturation score. RESULTS: Baseline characteristics in the derivation cohort (n= 435, 74% of whom were walking desaturators) and the validation cohort (n =238, 37% of whom were walking desaturators) were different. Resting arterial oxygen saturation measured from an arterial blood sample, PaO2, and percent-of-predicted FEV1 were the variables that predicted walking desaturation. The proportion of walking desaturators (and odds ratio estimate) gradually increased according to walking desaturation score (range 0-6) and associated categories of desaturation risk (total walking desaturation score: low 0 or 1, high 2-3, very high 4-6) (chi-square P

Original languageEnglish
Pages (from-to)1495-1503
Number of pages9
JournalRespiratory Care
Volume58
Issue number9
DOIs
Publication statusPublished - Sep 1 2013

Fingerprint

Statistical Models
Chronic Obstructive Pulmonary Disease
Walking
Oxygen
Community Health Services
Odds Ratio
Social Welfare
ROC Curve
Calibration
Outpatients
Rehabilitation
Regression Analysis

Keywords

  • 6-min walk test
  • Community healthcare
  • COPD
  • Decision making
  • Oxygen desaturation
  • Risk score

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine

Cite this

Crisafulli, E., Iattoni, A., Venturelli, E., Siscaro, G., Beneventi, C., Cesario, A., & Clini, E. M. (2013). Predicting walking-induced oxygen desaturations in COPD patients: A statistical model. Respiratory Care, 58(9), 1495-1503. https://doi.org/10.4187/respcare.02321

Predicting walking-induced oxygen desaturations in COPD patients : A statistical model. / Crisafulli, Ernesto; Iattoni, Andrea; Venturelli, Elena; Siscaro, Gherardo; Beneventi, Claudio; Cesario, Alfredo; Clini, Enrico M.

In: Respiratory Care, Vol. 58, No. 9, 01.09.2013, p. 1495-1503.

Research output: Contribution to journalArticle

Crisafulli, E, Iattoni, A, Venturelli, E, Siscaro, G, Beneventi, C, Cesario, A & Clini, EM 2013, 'Predicting walking-induced oxygen desaturations in COPD patients: A statistical model', Respiratory Care, vol. 58, no. 9, pp. 1495-1503. https://doi.org/10.4187/respcare.02321
Crisafulli E, Iattoni A, Venturelli E, Siscaro G, Beneventi C, Cesario A et al. Predicting walking-induced oxygen desaturations in COPD patients: A statistical model. Respiratory Care. 2013 Sep 1;58(9):1495-1503. https://doi.org/10.4187/respcare.02321
Crisafulli, Ernesto ; Iattoni, Andrea ; Venturelli, Elena ; Siscaro, Gherardo ; Beneventi, Claudio ; Cesario, Alfredo ; Clini, Enrico M. / Predicting walking-induced oxygen desaturations in COPD patients : A statistical model. In: Respiratory Care. 2013 ; Vol. 58, No. 9. pp. 1495-1503.
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