Abstract
Background
The aim was to identify fall predictors in elderly suffering from chronic pain (CP) and to test their applicability among patients with other chronic conditions.
Methods
1,379 non-institutionalized patients aged 65 years and older who were suffering from CP (S.AGE CP sub-cohort) were monitored every 6 months for 1 year. Socio-demographic, clinical and pain data and medication use were assessed at baseline for the association with falls in the following year. Falls were assessed retrospectively at each study visit. Logistic regression analyses were performed to identify fall predictors. The derived model was applied to two additional S.AGE sub-cohorts: atrial fibrillation (AF) (n = 1,072) and type-2 diabetes mellitus (T2DM) (n = 983).
Results
Four factors predicted falls in the CP sub-cohort: fall history (OR: 4.03, 95 % CI 2.79–5.82), dependency in daily activities (OR: 1.81, 95 % CI 1.27–2.59), age ≥75 (OR: 1.53, 95 % CI 1.04–2.25) and living alone (OR: 1.73, 95 % CI 1.24–2.41) (Area Under the Curve: AUC = 0.71, 95 % CI 0.67–0.75). These factors were relevant in AF (AUC = 0.71, 95 % CI 0.66–0.75) and T2DM (AUC = 0.67, 95 % CI 0.59–0.73) sub-cohorts. Fall predicted probability in CP, AF and T2DM sub-cohorts increased from 7, 7 and 6 % in patients with no risk factors to 59, 66 and 45 % respectively, in those with the four predictors. Fall history was the strongest predictor in the three sub-cohorts.
Conclusion
Fall history, dependency in daily activities, age ≥75 and living alone are independent fall predictors in CP, AF and T2DM patients.
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Conflict of interest
Lazkani A: no conflict of interest. Becquemont L: received consulting fees from Sanofi-Aventis, Pfizer and Servier and lecture fees from Genzyme, GlaxoSmithKline, Bristol-Myers Squibb and Merck Sharp & Dohme. Close family member working at Sanofi France. Delespierre T: no conflict of interest. Benattar-Zibi L: no conflict of interest. Bauduceau B: received consulting fees from Sanofi-Aventis, Bristol-Myers Squibb, Merck Sharp & Dohme, Roche and Novo Nordisk. Bertin P: received consulting fees from Sanofi-Aventis, Pfizer, Ethypharm and Reckitt Benckiser and speaking fees from Genevrier, Roche, Bristol-Myers Squibb and Merck Sharp & Dohme. Berrut G: received fees from Sanofi, Lundbeck, Eisai, Novartis, MSD, Amgen, Boehringer Ingelheim and Bayer. Corruble E: received consulting fees from Servier, Lundbeck, Sanofi-Aventis, Bristol Myers Squibb and Eisai. Danchin N: received consulting or speaking fees from AstraZeneca, BMS, Boehringer Ingelheim, Daiichi Sankyo, Eli Lilly, GSK, MSD Schering-Plough, Novartis, Novo Nordisk, Pierre Fabre, Pfizer, Roche, Sanofi-Aventis, Servier, Takeda and The Medicines Company. Derumeaux G: received consulting or speaking fees from Actelion, Boehringer Ingelheim, Pfizer, Sanofi-Aventis and Servier. Research grant from Actelion and AstraZeneca. Doucet J: received speaking fees from Novo Nordisk, consulting fees from Sanofi-Aventis, Novo Nordisk and Merck Serono and has a research partnership with Lilly. Falissard B: received consulting fees from Sanofi-Aventis, Servier, Roche, AstraZeneca, Grünenthal, Lilly, HRA, Boehringer Ingelheim, Bayer, Novartis, Genzyme, Stallergenes, Daiichi, Otsuka and BMS. Forette F: received speaking and consulting fees from AstraZeneca, Bayer, BMS, Esaï, Exonhit, Fabre, Ipsen, Janssen-Cilag, Lilly, Lundbeck, Novartis, MSD, Merz, Pfizer, Roche, Sanofi-Aventis, Servier, Schwartz Pharma, Specia, Warner–Lambert and Wyeth. Hanon O: received speaking and consulting fees from AstraZeneca, Bayer, BMS, Boehringer, Esaï, Exonhit, Janssen-Cilag, Lundbeck, Novartis, Pfizer, Sanofi-Aventis and Servier. Pasquier F: Investigator for Eisai, Exonhit, Novartis, Ipsen, Medivation, Pfizer, Bayer, Noscira, Sanofi, Roche and GE Healthcare. Received consulting fees from Lilly, Bayer, Janssen and Sanofi. Pinget M: received speaking and consulting fees from Asdia, AstraZeneca, BMS, Medtronic, MSD, Novo Nordisk, Novartis, Roche Diagnostic and Ypsomed. Ourabah R: no conflict of interest. Piedvache C: no conflict of interest.
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Lazkani, A., Delespierre, T., Bauduceau, B. et al. Predicting falls in elderly patients with chronic pain and other chronic conditions. Aging Clin Exp Res 27, 653–661 (2015). https://doi.org/10.1007/s40520-015-0319-2
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DOI: https://doi.org/10.1007/s40520-015-0319-2