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Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis
BACKGROUND: Heart failure (HF) is a complex and multifactorial syndrome caused by impaired heart function. The high morbidity and mortality of HF cause a heavy burden of illness worldwide. Non-thyroidal illness syndrome (NTIS) refers to aberrant serum thyroid parameters in patients without past thyr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388663/ https://www.ncbi.nlm.nih.gov/pubmed/37183926 http://dx.doi.org/10.1530/EC-23-0048 |
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author | Qi, Xiaoyi Qiu, Liangxian Wang, Shijia Chen, Xiongbiao Huang, Qianwen Zhao, Yixuan Ouyang, Kunfu Chen, Yanjun |
author_facet | Qi, Xiaoyi Qiu, Liangxian Wang, Shijia Chen, Xiongbiao Huang, Qianwen Zhao, Yixuan Ouyang, Kunfu Chen, Yanjun |
author_sort | Qi, Xiaoyi |
collection | PubMed |
description | BACKGROUND: Heart failure (HF) is a complex and multifactorial syndrome caused by impaired heart function. The high morbidity and mortality of HF cause a heavy burden of illness worldwide. Non-thyroidal illness syndrome (NTIS) refers to aberrant serum thyroid parameters in patients without past thyroid disease. Observational studies have indicated that NTIS is associated with a higher risk of all-cause mortality in HF. This meta-analysis aimed to investigate the association between NTIS and HF prognosis. METHODS: Medline, Embase, Web of Science, and the Cochrane database were searched for any studies reporting an association between NTIS and HF prognosis from inception to 1 July 2022. A meta-analysis was then performed. The quality of studies was assessed using the Newcastle–Ottawa Scale. The heterogeneity of the results was assessed with I(2) and Cochran's Q statistics. Sensitivity analysis and publication bias analysis were also conducted. RESULTS: A total of 626 studies were retrieved, and 18 studies were finally included in the meta-analysis. The results showed that NTIS in HF patients was significantly associated with an increased risk of all-cause mortality and major cardiovascular events (MACE), but not with in-hospital mortality. The stability of the data was validated by the sensitivity analysis. There was no indication of a publication bias in the pooled results for all-cause mortality and MACE. CONCLUSIONS: This meta-analysis showed that NTIS was associated with a worse outcome in HF patients. However, the association between NTIS and in-hospital mortality of HF patients requires further investigation. |
format | Online Article Text |
id | pubmed-10388663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-103886632023-08-01 Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis Qi, Xiaoyi Qiu, Liangxian Wang, Shijia Chen, Xiongbiao Huang, Qianwen Zhao, Yixuan Ouyang, Kunfu Chen, Yanjun Endocr Connect Research BACKGROUND: Heart failure (HF) is a complex and multifactorial syndrome caused by impaired heart function. The high morbidity and mortality of HF cause a heavy burden of illness worldwide. Non-thyroidal illness syndrome (NTIS) refers to aberrant serum thyroid parameters in patients without past thyroid disease. Observational studies have indicated that NTIS is associated with a higher risk of all-cause mortality in HF. This meta-analysis aimed to investigate the association between NTIS and HF prognosis. METHODS: Medline, Embase, Web of Science, and the Cochrane database were searched for any studies reporting an association between NTIS and HF prognosis from inception to 1 July 2022. A meta-analysis was then performed. The quality of studies was assessed using the Newcastle–Ottawa Scale. The heterogeneity of the results was assessed with I(2) and Cochran's Q statistics. Sensitivity analysis and publication bias analysis were also conducted. RESULTS: A total of 626 studies were retrieved, and 18 studies were finally included in the meta-analysis. The results showed that NTIS in HF patients was significantly associated with an increased risk of all-cause mortality and major cardiovascular events (MACE), but not with in-hospital mortality. The stability of the data was validated by the sensitivity analysis. There was no indication of a publication bias in the pooled results for all-cause mortality and MACE. CONCLUSIONS: This meta-analysis showed that NTIS was associated with a worse outcome in HF patients. However, the association between NTIS and in-hospital mortality of HF patients requires further investigation. Bioscientifica Ltd 2023-05-15 /pmc/articles/PMC10388663/ /pubmed/37183926 http://dx.doi.org/10.1530/EC-23-0048 Text en © the author(s) https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Research Qi, Xiaoyi Qiu, Liangxian Wang, Shijia Chen, Xiongbiao Huang, Qianwen Zhao, Yixuan Ouyang, Kunfu Chen, Yanjun Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis |
title | Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis |
title_full | Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis |
title_fullStr | Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis |
title_full_unstemmed | Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis |
title_short | Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis |
title_sort | non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388663/ https://www.ncbi.nlm.nih.gov/pubmed/37183926 http://dx.doi.org/10.1530/EC-23-0048 |
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