BACKGROUND: Data are scarce on outcomes of pacemaker implantation in nonagenarians (age≥90 years). METHODS AND RESULTS: We identified patients >70 years of age (n=115 683) who underwent initial pacemaker implantation in the 2004 to 2008 Healthcare Cost and Utilization Project-Nationwide Inpatient Sample. Outcomes included in-hospital mortality, complications, length of stay, and charges. Unadjusted outcomes were compared using χ(2) and Mantel-Haenszel tests. Multivariate hierarchical logistic models and stepwise linear regression models adjusted for case-mix variation and clustering. Eleven percent (12 917) were >90 years of age. Relative to patients aged 70 to 79 years, patients >90 years of age were more likely to have moderate/severe comorbidity (Charlson score >1; 43.2% versus 40.1%) and less likely to be admitted electively (17.5% versus 29.9%), all P<0.001. The unadjusted mortality and complication rates in patients aged 70 to 79 years were 0.60% (confidence interval [CI], 0.53-0.67%) and 5.61% (CI, 5.40-5.82%), respectively, and in patients aged >90 years were 1.87% (CI, 1.63-2.11%) and 6.31% (CI, 5.89-6.72%). Length of stay and charges in patients aged 70 to 79 years were 3.22 days (CI, 3.20-3.24 days) and $38 871 (CI, $38 700-$39 043), and in patients aged >90 years, 4.27 days (CI, 4.25-4.30 days) and $41 373 (CI, $41 190-$41 556). Multivariable analysis revealed severe comorbidity (odds ratio, 5.00; 95% CI, 4.05-6.17) was a greater predictor of mortality than increasing age (odds ratio, 2.81 per decade; CI, 2.35-3.35), all P<0.001. Similarly, severe comorbidity (Charlson score >5) was more strongly associated with complications, length of stay, and charges than age. CONCLUSIONS: Although increasing age predicts worsening outcomes in the elderly, the absolute rates are modest, even in nonagenarians, and comorbidity is a stronger predictor.
BACKGROUND: Data are scarce on outcomes of pacemaker implantation in nonagenarians (age≥90 years). METHODS AND RESULTS: We identified patients >70 years of age (n=115 683) who underwent initial pacemaker implantation in the 2004 to 2008 Healthcare Cost and Utilization Project-Nationwide Inpatient Sample. Outcomes included in-hospital mortality, complications, length of stay, and charges. Unadjusted outcomes were compared using χ(2) and Mantel-Haenszel tests. Multivariate hierarchical logistic models and stepwise linear regression models adjusted for case-mix variation and clustering. Eleven percent (12 917) were >90 years of age. Relative to patients aged 70 to 79 years, patients >90 years of age were more likely to have moderate/severe comorbidity (Charlson score >1; 43.2% versus 40.1%) and less likely to be admitted electively (17.5% versus 29.9%), all P<0.001. The unadjusted mortality and complication rates in patients aged 70 to 79 years were 0.60% (confidence interval [CI], 0.53-0.67%) and 5.61% (CI, 5.40-5.82%), respectively, and in patients aged >90 years were 1.87% (CI, 1.63-2.11%) and 6.31% (CI, 5.89-6.72%). Length of stay and charges in patients aged 70 to 79 years were 3.22 days (CI, 3.20-3.24 days) and $38 871 (CI, $38 700-$39 043), and in patients aged >90 years, 4.27 days (CI, 4.25-4.30 days) and $41 373 (CI, $41 190-$41 556). Multivariable analysis revealed severe comorbidity (odds ratio, 5.00; 95% CI, 4.05-6.17) was a greater predictor of mortality than increasing age (odds ratio, 2.81 per decade; CI, 2.35-3.35), all P<0.001. Similarly, severe comorbidity (Charlson score >5) was more strongly associated with complications, length of stay, and charges than age. CONCLUSIONS: Although increasing age predicts worsening outcomes in the elderly, the absolute rates are modest, even in nonagenarians, and comorbidity is a stronger predictor.
Authors: John A Dodson; Matthew R Reynolds; Haikun Bao; Sana M Al-Khatib; Eric D Peterson; Mark S Kremers; Michael J Mirro; Jeptha P Curtis Journal: J Am Coll Cardiol Date: 2013-12-11 Impact factor: 24.094
Authors: Marianne H Gillam; Nicole L Pratt; Maria C S Inacio; Sepehr Shakib; Prashanthan Sanders; Dennis H Lau; Elizabeth E Roughead Journal: Clin Cardiol Date: 2018-10-19 Impact factor: 2.882
Authors: Andreas W Schoenenberger; Ian Russi; Benjamin Berte; Vanessa Weberndörfer; Renate Schoenenberger-Berzins; Piotr Chodup; Remo Beeler; Florim Cuculi; Stefan Toggweiler; Richard Kobza Journal: BMC Geriatr Date: 2020-08-12 Impact factor: 3.921