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 Nov 4;16(11):e72972.
doi: 10.7759/cureus.72972. eCollection 2024 Nov.

Metabolic Syndrome in Non-diabetic Stroke Patients

Ahmed Wahab  1 , Jamil Muqtadir  2   3 , Abdul R Ansari  1 , Muhammad Tahseen  1 , Kashif Ayoob  4 , Syed Haris M Zaidi  4 , Arhama S Muhammad  5 , Aisha Khan  1 , Sehar Ahmed  1
Affiliations

Metabolic Syndrome in Non-diabetic Stroke Patients

Ahmed Wahab et al. Cureus. .

Abstract

Introduction Metabolic syndrome (MetS) encompasses a range of diverse conditions, such as hypertension, hyperglycemia, central obesity, dyslipidemia, and diabetes. MetS in non-diabetic elderly patients with acute ischemic stroke can worsen vascular damage and lead to worse outcomes, highlighting the significance of early detection. Objective The objective of this paper was to determine the frequency of MetS in non-diabetic elderly patients with acute ischemic stroke visiting a tertiary care hospital. Material and methods This study was carried out in the medical department of Dr. Ziauddin Hospital in Karachi, Pakistan for a duration of six months from June 20, 2023, to December 19, 2023, following the adoption of the synopsis. All patients meeting the specified criteria and attending Dr. Ziauddin Hospital in Karachi were enrolled in the research. Informed consent was obtained after a thorough description of the methods, possible dangers, and advantages of the study. Each patient underwent the metabolic assessment according to the International Diabetes Federation (IDF) criteria. Data collected was recorded in the provided proforma and electronically utilized for research endeavors. The analysis was conducted utilizing SPSS version 26.0 (IBM Corp., Armonk, NY). Descriptive statistics were computed, and the chi-square/Fisher's exact test was utilized for stratified analysis, with a p-value < 0.05 deemed significant. Result The study included patients aged between 65 and 90 years, with a median age of 74. Among the total population assessed, 133 individuals were male (76.4%) and 41 were female (23.6%). MetS was identified in 116 patients, representing 66.7% of the study population. Conclusion It is to be concluded that MetS was highly prevalent in non-diabetic elderly patients with acute ischemic stroke. This highlights a significant relationship between MetS and the occurrence of cerebrovascular accidents in this demographic. Further exploration and potential interventions targeting MetS in this population could be beneficial for improving health outcomes.

Keywords: elderly; ischemic stroke; metabolic syndrome; non-diabetic; vascular damage.

PubMed Disclaimer

Conflict of interest statement

Human subjects: Consent for treatment and open access publication was obtained or waived by all participants in this study. Ethical Review Committee, Dr. Ziauddin University issued approval 4980232JMMED. This is to inform you that your study titled "Metabolic Syndrome in Non-diabetic Stroke Patients" has been granted a waiver. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Figures

Figure 1
Figure 1. Frequency of gender (n=174)
Figure 2
Figure 2. Frequency of residential status (n=174)
Figure 3
Figure 3. Frequency of MetS (n=174)
MetS: metabolic syndrome
See this image and copyright information in PMC

References

    1. Associations of fasting blood glucose with influencing factors in northeast China: a quantile regression analysis. Guo X, Shen L, Dou J, et al. https://www.mdpi.com/1660-4601/14/11/1368. Int J Environ Res Public Health. 2017;14:1368. - PMC - PubMed
    1. Prevalence, incidence, and mortality of stroke in China: results from a nationwide population-based survey of 480 687 adults. Wang W, Jiang B, Sun H, et al. https://www.ahajournals.org/doi/abs/10.1161/CIRCULATIONAHA.116.025250. Circulation. 2017;135:759–771. - PubMed
    1. The effect of statins on acute and long-term outcome after ischemic stroke in the elderly. Hjalmarsson C, Bokemark L, Manhem K, Mehlig K, Andersson B. https://www.sciencedirect.com/science/article/pii/S1543594612001110. Am J Geriatr Pharmacother. 2012;10:313–322. - PubMed
    1. Metabolic syndrome across Europe: different clusters of risk factors. Scuteri A, Laurent S, Cucca F, et al. https://journals.sagepub.com/doi/abs/10.1177/2047487314525529. Eur J Prev Cardiol. 2015;22:486–491. - PMC - PubMed
    1. Association of sodium excretion with metabolic syndrome, insulin resistance, and body fat. Oh SW, Han KH, Han SY, Koo HS, Kim S, Chin HJ. https://journals.lww.com/md-journal/fulltext/2015/09050/Association_of_S... Medicine (Baltimore) 2015;94:0. - PMC - PubMed

LinkOut - more resources