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The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate
OBJECTIVE: The aim of this study is to examine the impacts of general practice model (GP) on prognosis and recurrence of stroke patients with diabetes. METHODS: Ninety patients with stroke combined with diabetes mellitus admitted to our hospital from June 2019 to June 2020 were selected for the stud...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374552/ https://www.ncbi.nlm.nih.gov/pubmed/35966752 http://dx.doi.org/10.1155/2022/5413985 |
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author | Zou, Zhehua Liu, Kai Li, Yunjing Yi, Shuangyan Wang, Xiaotang Yu, Changying Zhu, Haiying |
author_facet | Zou, Zhehua Liu, Kai Li, Yunjing Yi, Shuangyan Wang, Xiaotang Yu, Changying Zhu, Haiying |
author_sort | Zou, Zhehua |
collection | PubMed |
description | OBJECTIVE: The aim of this study is to examine the impacts of general practice model (GP) on prognosis and recurrence of stroke patients with diabetes. METHODS: Ninety patients with stroke combined with diabetes mellitus admitted to our hospital from June 2019 to June 2020 were selected for the study and were randomly and equally divided into 45 cases each in the control and experimental groups for the prospective trial. The patients in the control group received routine treatment while those in the experimental group were treated with GP model. Comparison in treatment effects, patients satisfaction, psychological status, quality of life, glycosylated hemoglobin level, and stroke recurrence was carried out between the two groups. RESULTS: The experimental group showed markedly better treatment effects (P < 0.05), higher satisfaction degree (P < 0.05), higher HAD (P < 0.05), GQOLI-74 score (P < 0.05), and BI index (P < 0.05), lower level of glycosylated hemoglobin (P < 0.05), and much lower recurrence rate (P < 0.05), as compared to the control group. CONCLUSION: The application of the GP model to manage controllable risk factors in stroke patients with diabetes can effectively improve the prognosis and reduce the recurrence rate, which is worthy of clinical application and promotion. |
format | Online Article Text |
id | pubmed-9374552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-93745522022-08-13 The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate Zou, Zhehua Liu, Kai Li, Yunjing Yi, Shuangyan Wang, Xiaotang Yu, Changying Zhu, Haiying Evid Based Complement Alternat Med Research Article OBJECTIVE: The aim of this study is to examine the impacts of general practice model (GP) on prognosis and recurrence of stroke patients with diabetes. METHODS: Ninety patients with stroke combined with diabetes mellitus admitted to our hospital from June 2019 to June 2020 were selected for the study and were randomly and equally divided into 45 cases each in the control and experimental groups for the prospective trial. The patients in the control group received routine treatment while those in the experimental group were treated with GP model. Comparison in treatment effects, patients satisfaction, psychological status, quality of life, glycosylated hemoglobin level, and stroke recurrence was carried out between the two groups. RESULTS: The experimental group showed markedly better treatment effects (P < 0.05), higher satisfaction degree (P < 0.05), higher HAD (P < 0.05), GQOLI-74 score (P < 0.05), and BI index (P < 0.05), lower level of glycosylated hemoglobin (P < 0.05), and much lower recurrence rate (P < 0.05), as compared to the control group. CONCLUSION: The application of the GP model to manage controllable risk factors in stroke patients with diabetes can effectively improve the prognosis and reduce the recurrence rate, which is worthy of clinical application and promotion. Hindawi 2022-08-05 /pmc/articles/PMC9374552/ /pubmed/35966752 http://dx.doi.org/10.1155/2022/5413985 Text en Copyright © 2022 Zhehua Zou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zou, Zhehua Liu, Kai Li, Yunjing Yi, Shuangyan Wang, Xiaotang Yu, Changying Zhu, Haiying The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate |
title | The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate |
title_full | The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate |
title_fullStr | The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate |
title_full_unstemmed | The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate |
title_short | The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate |
title_sort | application of the gp model to manage controllable risk factors in stroke patients with diabetes can effectively improve the prognosis and reduce the recurrence rate |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374552/ https://www.ncbi.nlm.nih.gov/pubmed/35966752 http://dx.doi.org/10.1155/2022/5413985 |
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