Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Oct 1;63(19):2613-2620.
doi: 10.2169/internalmedicine.2926-23. Epub 2024 Mar 4.

The Body Mass Index as a Determinant of Acute Ischemic Location in Mild Non-cardioembolic Stroke Patients

Junya Aoki  1 , Kazumi Kimura  1 ; ADS investigator
Affiliations

The Body Mass Index as a Determinant of Acute Ischemic Location in Mild Non-cardioembolic Stroke Patients

Junya Aoki et al. Intern Med. .

Abstract

Objective Although the body mass index (BMI) is considered a meaningful parameter for evaluating obesity, the association between the BMI and acute non-cardioembolic stroke remains unclear. We investigated how the BMI was related to patients' background, type of infarction, and infarction location in patients with non-cardioembolic stroke using an acute dual study (ADS) cohort. Methods The ADS trial was conducted between May 2011 and June 2017 in Japan. The BMI classifications were those proposed by the World Health Organization classification: underweight, <18.5 kg/m2; normal weight, 18.5-24.9 kg/m2; overweight, 25-29.9 kg/m2; and obese, ≥30 kg/m2. Results Data from 1,136 patients were analyzed. The median BMI was 23.6 kg/m2 (interquartile range: 21.6-25.8 kg/m2), with a BMI ≥30 kg/m2 in 63 patients (6%), 25-29.9 kg/m2 in 321 (28%), 18.5-24.9 kg/m2 in 692 (61%), and <18.5 kg/m2 in 60 (5%). The group with a BMI ≥30 kg/m2 was the youngest, and the group with a BMI <18.5 kg/m2 was the oldest (p<0.001). The proportion of patients with a history of hypertension (p<0.001), diabetes (p<0.001), dyslipidemia (p<0.001), and statin therapy (p=0.005) increased with increasing BMI. Pontine infarcts were frequent in the following order: obese, overweight, normal weight, and underweight (24%, 18%, 14%, and 13%, respectively; p=0.034). In contrast, cortical infarct were frequent in the order of underweight, normal weight, overweight, and obese at 20%, 19%, 14%, and 3%, respectively (p=0.007). Conclusion Acute stroke patients with a high BMI have more atherosclerosis-related factors in their backgrounds than those with lower BMIs. In addition, the BMI may be a determinant of infarct location in patients with acute stroke.

Keywords: acute ischemic stroke; body mass index; mild neurological deficits.

PubMed Disclaimer

Conflict of interest statement

The authors state that they have no Conflict of Interest (COI).

Figures

Figure.
Figure.
The association of the body mass index (BMI) with infarct location. (A) Rates of pontine infarct and (B) cortical infarct.
See this image and copyright information in PMC

Similar articles

See all similar articles

References

    1. Lavie CJ, Milani RV, Ventura HO. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol 53: 1925-1935, 2009. - PubMed
    1. Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism 92: 6-10, 2019. - PubMed
    1. Wang X, Huang Y, Chen Y, et al. . The relationship between body mass index and stroke: a systemic review and meta-analysis. J Neurol 269: 6279-6289, 2022. - PubMed
    1. Whitlock G, Lewington S, Sherliker P, et al. .; Prospective Studies Collaboration. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet 373: 1083-1096, 2009. - PMC - PubMed
    1. Strazzullo P, D'Elia L, Cairella G, Garbagnati F, Cappuccio FP, Scalfi L. Excess body weight and incidence of stroke: meta-analysis of prospective studies with 2 million participants. Stroke 41: e418-426, 2010. - PubMed

MeSH terms