Chronic nicotine restores normal Aβ levels and prevents short-term memory and E-LTP impairment in Aβ rat model of Alzheimer's disease
Smoking Paradox in Patients Hospitalized With Coronary Artery Disease or Acute Ischemic Stroke
- Syed F. Ali, MD,
- Eric E. Smith, MD, MPH,
- Mathew J. Reeves, PhD,
- Xin Zhao, MS,
- Ying Xian, MD, PhD,
- Adrian F. Hernandez, MD, MHS,
- Deepak L. Bhatt, MD, MPH,
- Gregg C. Fonarow, MD and
- Lee H. Schwamm, MD
+ Author Affiliations
- Correspondence to Lee H. Schwamm, MD, Department of Neurology, ACC 720, Massachusetts General Hospital, Boston, MA 02114. E-mail lschwamm@partners.org
Abstract
Background—Smoking is a potent risk factor for coronary artery disease (CAD) and acute ischemic stroke (AIS), but there are numerous
reports of lower in-hospital mortality among smokers versus nonsmokers hospitalized for these events.
Methods and Results—We
analyzed all consecutive patients hospitalized with a first index CAD
(n=158 054) or AIS (n=899 295) event in Get With
The Guidelines from 2002 to 2012; 20.4% of
AIS and 30.4% of patients with CAD were past-year smokers. Multivariable
models
and age-stratified analyses were used to
estimate the adjusted odds ratio of in-hospital mortality in smokers
versus nonsmokers.
Smokers were younger, more often male, with
fewer vascular risk factors, and were more likely to be admitted to
hospitals
that were large, academic, or in the South.
In-hospital mortality was significantly lower among smokers in both CAD
(2.7%
versus 5.2%; P<0.0001) and AIS (3.5% versus 5.8%; P<0.0001).
The difference between unadjusted and adjusted odds ratios for smoking
(0.57 versus 0.86 in CAD; 0.56 versus 0.86
in AIS) indicates the presence of substantial
confounding by age and other covariates, but a significant association
of past-year
smoking remained.
Conclusions—Among
patients hospitalized with CAD and AIS, smoking is a risk factor for
early age of onset, even among those with few vascular
risk factors. The persistent association with
lower in-hospital mortality after adjusted and stratified analyses
probably
represents residual unmeasured confounding,
although a biological effect of smoking cannot be excluded. Further
clinical and
prospective population-based studies are
needed to explore variables that contribute to outcomes in these
patients.
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