دورية أكاديمية
Symptom clusters and unplanned hospital readmission in Chinese patients with acute myocardial infarction on admission.
| العنوان: | Symptom clusters and unplanned hospital readmission in Chinese patients with acute myocardial infarction on admission. |
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| المؤلفون: | Mao Y; Department of Cardiology, Xianyang Central Hospital, Shaanxi, China., Shi Y; Department of Cardiology, Xianyang Central Hospital, Shaanxi, China., Qiao W; Department of Cardiology, Xianyang Central Hospital, Shaanxi, China., Zhang Z; Department of Cardiology, Xianyang Central Hospital, Shaanxi, China., Yang W; Department of Cardiology, Xianyang Central Hospital, Shaanxi, China., Liu H; Department of Cardiology, Xianyang Central Hospital, Shaanxi, China., Li E; Department of Cardiology, Xianyang Central Hospital, Shaanxi, China., Fan H; Department of Nursing, Xianyang Central Hospital, Shaanxi, China., Liu Q; Department of Orthopedic, Xianyang Central Hospital, Shaanxi, China. |
| المصدر: | Frontiers in cardiovascular medicine [Front Cardiovasc Med] 2024 May 20; Vol. 11, pp. 1388648. Date of Electronic Publication: 2024 May 20 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653388 Publication Model: eCollection Cited Medium: Print ISSN: 2297-055X (Print) Linking ISSN: 2297055X NLM ISO Abbreviation: Front Cardiovasc Med Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Lausanne : Frontiers Media S.A., [2014]- |
| مستخلص: | Backgroud: Acute myocardial infarction (AMI) has a high morbidity rate, high mortality rate, high readmission rate, high health care costs, and a high symptomatic, psychological, and economic burden on patients. Patients with AMI usually present with multiple symptoms simultaneously, which are manifested as symptom clusters. Symptom clusters have a profound impact on the quality of survival and clinical outcomes of AMI patients. Objective: The purpose of this study was to analyze unplanned hospital readmissions among cluster groups within a 1-year follow-up period, as well as to identify clusters of acute symptoms and the characteristics associated with them that appeared in patients with AMI. Methods: Between October 2021 and October 2022, 261 AMI patients in China were individually questioned for symptoms using a structured questionnaire. Mplus 8.3 software was used to conduct latent class analysis in order to find symptom clusters. Univariate analysis is used to examine characteristics associated with each cluster, and multinomial logistic regression is used to analyze a cluster membership as an independent predictor of hospital readmission after 1-year. Results: Three unique clusters were found among the 11 acute symptoms: the typical chest symptom cluster (64.4%), the multiple symptom cluster (29.5%), and the atypical symptom cluster (6.1%). The cluster of atypical symptoms was more likely to have anemia and the worse values of Killip class compared with other clusters. The results of multiple logistic regression indicated that, in comparison to the typical chest cluster, the atypical symptom cluster substantially predicted a greater probability of 1-year hospital readmission (odd ratio 8.303, 95% confidence interval 2.550-27.031, P < 0.001). Conclusion: Out of the 11 acute symptoms, we have found three clusters: the typical chest symptom, multiple symptom, and atypical symptom clusters. Compared to patients in the other two clusters, those in the atypical symptom cluster-which included anemia and a large percentage of Killip class patients-had worse clinical indicators at hospital readmission during the duration of the 1-year follow-up. Both anemia and high Killip classification suggest that the patient's clinical presentation is poor and therefore the prognosis is worse. Intensive treatment should be considered for anemia and high level of Killip class patients with atypical presentation. Clinicians should focus on patients with atypical symptom clusters, enhance early recognition of symptoms, and develop targeted symptom management strategies to alleviate their discomfort in order to improve symptomatic outcomes. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (© 2024 Mao, Shi, Qiao, Zhang, Yang, Liu, Li, Fan and Liu.) |
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| فهرسة مساهمة: | Keywords: acute myocardial infarction; cross-section studies; latent class analysis; symptom cluster; unplanned hospital readmission |
| تواريخ الأحداث: | Date Created: 20240604 Latest Revision: 20240607 |
| رمز التحديث: | 20240607 |
| مُعرف محوري في PubMed: | PMC11144855 |
| DOI: | 10.3389/fcvm.2024.1388648 |
| PMID: | 38832319 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2297-055X |
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| DOI: | 10.3389/fcvm.2024.1388648 |