Risk Factor Control in Stroke Survivors with Diagnosed and Undiagnosed Diabetes: A Ghanaian Registry Analysis.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 24 06 2020
revised: 23 08 2020
accepted: 03 09 2020
pubmed: 30 9 2020
medline: 15 12 2020
entrez: 29 9 2020
Statut: ppublish

Résumé

Expert consensus guidelines recommend optimizing global risk factor control in diabetic stroke survivors to improve outcomes. Since relatively little is known about the adequacy of risk factor control among diabetic stroke survivors in sub-Saharan Africa, we sought to assess control rates of key traditional risk factors among Ghanaian stroke survivors with diabetes. A secondary objective was to assess the burden of undiagnosed dysglycemic states among stroke survivors without a prior diagnosis of diabetes mellitus (DM) METHODS: Cross-sectional study of outpatient stroke survivors consecutively enrolled in a stroke registry at a tertiary medical center in Ghana between January 2018 and March 2020. We collected baseline demographic and clinical details including blood pressure, lipid panel, fasting blood glucose results, medications prescribed for secondary prevention, and stroke type information. BP control target was set at <130/80 mmHg, LDL-cholesterol <2.6 mmol/l and Fasting blood glucose (FBG) <7.0 mmol/l. Factors associated with poor control of vascular risk factors were assessed using multivariate logistic regression models. Of 1101 stroke survivors enrolled into the registry, 279 (25.3%) had a comorbid diagnosis of DM. Mean (±SD) age among the diabetic vs. non-diabetic stroke patients was 61.4 ± 12.0 years vs. 57.6 ± 14.6 years (p < 0.0001). Among the diabetic stroke patients, 61.7% had LDL-cholesterol <2.6 mmol/L, 8.2% had BP <130/80 mm Hg and 28.6% had FBG <7.0 mmol/L. Significant predictors of poor control of BP were younger age, having co-morbid DM and number of antihypertensive medication classes while poor LDL-cholesterol was associated with longer duration of stroke diagnosis. Among those without a prior diagnosis of DM, FBG analysis of 540 subjects with available data showed that 21.7% had FBG <5.7 mmol/L, 39.0% had impaired fasting blood glucose and 39.3% had FBG in the diabetes mellitus range. Patients who were older, female, or experienced an ischemic stroke trended towards being more likely to have undiagnosed DM. Among Ghanaian diabetic stroke survivors, blood pressure and blood glucose, are especially poorly controlled. There is also a high burden of undiagnosed pre-diabetes and DM among stroke survivors substantially heightening their risk for further adverse CVD outcomes.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Expert consensus guidelines recommend optimizing global risk factor control in diabetic stroke survivors to improve outcomes. Since relatively little is known about the adequacy of risk factor control among diabetic stroke survivors in sub-Saharan Africa, we sought to assess control rates of key traditional risk factors among Ghanaian stroke survivors with diabetes. A secondary objective was to assess the burden of undiagnosed dysglycemic states among stroke survivors without a prior diagnosis of diabetes mellitus (DM) METHODS: Cross-sectional study of outpatient stroke survivors consecutively enrolled in a stroke registry at a tertiary medical center in Ghana between January 2018 and March 2020. We collected baseline demographic and clinical details including blood pressure, lipid panel, fasting blood glucose results, medications prescribed for secondary prevention, and stroke type information. BP control target was set at <130/80 mmHg, LDL-cholesterol <2.6 mmol/l and Fasting blood glucose (FBG) <7.0 mmol/l. Factors associated with poor control of vascular risk factors were assessed using multivariate logistic regression models.
RESULTS RESULTS
Of 1101 stroke survivors enrolled into the registry, 279 (25.3%) had a comorbid diagnosis of DM. Mean (±SD) age among the diabetic vs. non-diabetic stroke patients was 61.4 ± 12.0 years vs. 57.6 ± 14.6 years (p < 0.0001). Among the diabetic stroke patients, 61.7% had LDL-cholesterol <2.6 mmol/L, 8.2% had BP <130/80 mm Hg and 28.6% had FBG <7.0 mmol/L. Significant predictors of poor control of BP were younger age, having co-morbid DM and number of antihypertensive medication classes while poor LDL-cholesterol was associated with longer duration of stroke diagnosis. Among those without a prior diagnosis of DM, FBG analysis of 540 subjects with available data showed that 21.7% had FBG <5.7 mmol/L, 39.0% had impaired fasting blood glucose and 39.3% had FBG in the diabetes mellitus range. Patients who were older, female, or experienced an ischemic stroke trended towards being more likely to have undiagnosed DM.
CONCLUSION CONCLUSIONS
Among Ghanaian diabetic stroke survivors, blood pressure and blood glucose, are especially poorly controlled. There is also a high burden of undiagnosed pre-diabetes and DM among stroke survivors substantially heightening their risk for further adverse CVD outcomes.

Identifiants

pubmed: 32992189
pii: S1052-3057(20)30722-9
doi: 10.1016/j.jstrokecerebrovasdis.2020.105304
pii:
doi:

Substances chimiques

Antihypertensive Agents 0
Biomarkers 0
Blood Glucose 0
Hydroxymethylglutaryl-CoA Reductase Inhibitors 0
Hypoglycemic Agents 0
Lipids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105304

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None to declare by all authors.

Auteurs

Fred Stephen Sarfo (FS)

Department of Medicine, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana; Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana. Electronic address: stephensarfo78@gmail.com.

John Akassi (J)

Department of Medicine, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana; Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana. Electronic address: akassi2000@yahoo.com.

Martin Agyei (M)

Department of Medicine, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana; Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana. Electronic address: martinagyei@yahoo.co.uk.

Samuel Kontoh (S)

Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana. Electronic address: askpapasam@yahoo.com.

Bruce Ovbiagele (B)

University of California San Francisco, USA. Electronic address: Bruce.Ovbiagele@va.gov.

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Classifications MeSH