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Published online before print January 10, 2007, 10.1183/09031936.00129706
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Eur Respir J 2007; 29:969-975
Copyright ©ERS Journals Ltd 2007

A prediction rule for elderly primary-care patients with lower respiratory tract infections

J. Bont1, E. Hak1, A. W. Hoes1, M. Schipper2, F. G. Schellevis3,4 and T. J. M. Verheij1

1 Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, 2 Center for Biostatistics, Utrecht University, 3 Netherlands Institute for Health Services Research (NIVEL), Utrecht, and 4 Department of General Practice / EMGO Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

CORRESPONDENCE: J. Bont, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, PO Box 85060, 3508 AB Utrecht, The Netherlands. Fax: 31 302539028. E-mail: j.bont{at}umcutrecht.nl

Keywords: Aged, clinical prediction rule, primary healthcare, prognosis, respiratory tract infections

Received: October 4, 2006
Accepted December 20, 2006

Prognostic scores for lower respiratory tract infections (LRTI) have been mainly derived in a hospital setting. The current authors have developed and validated a prediction rule for the prognosis of acute LRTI in elderly primary-care patients.

Data including demographics, medication use, healthcare use and comorbid conditions from 3,166 episodes of patients aged ≥65 yrs visiting the general practitioner (GP) with LRTI were collected. Multiple logistic regression analysis was used to construct a predictive model. The main outcome measure was 30-day hospitalisation or death. The Second Dutch Survey of GPs was used for validation.

The following were independent predictors of 30-day hospitalisation or death: increasing age; previous hospitalisation; heart failure; diabetes; use of oral glucocorticoids; previous use of antibiotics; a diagnosis of pneumonia; and exacerbation of chronic obstructive pulmonary disease. A prediction rule based on these variables showed that the outcome increased directly with increasing scores: 3, 10 and 31% for scores of <2 points, 3–6 and ≥7 points, respectively. Corresponding figures for the validation cohort were 3, 11 and 26%, respectively.

This simple prediction rule can help the primary-care physician to differentiate between high- and low-risk patients. As a possible consequence, low-risk patients may be suitable for home treatment, whereas high-risk patients might be monitored more closely in a homecare or hospital setting. Future studies should assess whether information on signs and symptoms can further improve this prediction rule.




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