Mortality, Cardiovascular, and Medication Outcomes in Patients With Myocardial Infarction and Underweight in a Meta-Analysis of 6.3 Million Patients
Although most of the current evidence on myocardial infarction focuses on obesity, there is growing evidence that patients who are underweight have unfavorable prognosis. This study aimed to explore the prevalence, clinical characteristics, and prognosis of this population at risk. Embase and Medlin...
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Published in | The American journal of cardiology Vol. 196; pp. 1 - 10 |
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Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
01.06.2023
Elsevier Limited |
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Online Access | Get full text |
ISSN | 0002-9149 1879-1913 1879-1913 |
DOI | 10.1016/j.amjcard.2023.02.023 |
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Abstract | Although most of the current evidence on myocardial infarction focuses on obesity, there is growing evidence that patients who are underweight have unfavorable prognosis. This study aimed to explore the prevalence, clinical characteristics, and prognosis of this population at risk. Embase and Medline were searched for studies reporting outcomes in populations who were underweight with myocardial infarction. Underweight and normal weight were defined according to the World Health Organization criteria. A single-arm meta-analysis of proportions was used to estimate the prevalence of underweight in patients with myocardial infarction, whereas a meta-analysis of proportions was used to estimate the odds ratio of all-cause mortality, medications prescribed, and cardiovascular outcomes. Twenty-one studies involving 6,368,225 patients were included, of whom 47,866 were underweight. The prevalence of underweight in patients with myocardial infarction was 2.96% (95% confidence interval 1.96% to 4.47%). Despite having fewer classical cardiovascular risk factors, patients who were underweight had 66% greater hazard for mortality (hazard ratio 1.66, 95% confidence interval 1.44 to 1.92, p <0.0001). The mortality of patients who were underweight increased from 14.1% at 30 days to 52.6% at 5 years. Nevertheless, they were less likely to receive guideline-directed medical therapy. Relative to subjects with normal weight, Asian populations who were underweight had greater mortality risks than those of their Caucasian counterparts (p = 0.0062). In conclusion, in patients with myocardial infarction, those who were underweight tend to have poorer prognostic outcomes. A lower body mass index is an independent predictor of mortality, which calls for global efforts in addressing this modifiable risk factor in clinical practice guidelines. |
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AbstractList | Although most of the current evidence on myocardial infarction focuses on obesity, there is growing evidence that patients who are underweight have unfavorable prognosis. This study aimed to explore the prevalence, clinical characteristics, and prognosis of this population at risk. Embase and Medline were searched for studies reporting outcomes in populations who were underweight with myocardial infarction. Underweight and normal weight were defined according to the World Health Organization criteria. A single-arm meta-analysis of proportions was used to estimate the prevalence of underweight in patients with myocardial infarction, whereas a meta-analysis of proportions was used to estimate the odds ratio of all-cause mortality, medications prescribed, and cardiovascular outcomes. Twenty-one studies involving 6,368,225 patients were included, of whom 47,866 were underweight. The prevalence of underweight in patients with myocardial infarction was 2.96% (95% confidence interval 1.96% to 4.47%). Despite having fewer classical cardiovascular risk factors, patients who were underweight had 66% greater hazard for mortality (hazard ratio 1.66, 95% confidence interval 1.44 to 1.92, p <0.0001). The mortality of patients who were underweight increased from 14.1% at 30 days to 52.6% at 5 years. Nevertheless, they were less likely to receive guideline-directed medical therapy. Relative to subjects with normal weight, Asian populations who were underweight had greater mortality risks than those of their Caucasian counterparts (p = 0.0062). In conclusion, in patients with myocardial infarction, those who were underweight tend to have poorer prognostic outcomes. A lower body mass index is an independent predictor of mortality, which calls for global efforts in addressing this modifiable risk factor in clinical practice guidelines.Although most of the current evidence on myocardial infarction focuses on obesity, there is growing evidence that patients who are underweight have unfavorable prognosis. This study aimed to explore the prevalence, clinical characteristics, and prognosis of this population at risk. Embase and Medline were searched for studies reporting outcomes in populations who were underweight with myocardial infarction. Underweight and normal weight were defined according to the World Health Organization criteria. A single-arm meta-analysis of proportions was used to estimate the prevalence of underweight in patients with myocardial infarction, whereas a meta-analysis of proportions was used to estimate the odds ratio of all-cause mortality, medications prescribed, and cardiovascular outcomes. Twenty-one studies involving 6,368,225 patients were included, of whom 47,866 were underweight. The prevalence of underweight in patients with myocardial infarction was 2.96% (95% confidence interval 1.96% to 4.47%). Despite having fewer classical cardiovascular risk factors, patients who were underweight had 66% greater hazard for mortality (hazard ratio 1.66, 95% confidence interval 1.44 to 1.92, p <0.0001). The mortality of patients who were underweight increased from 14.1% at 30 days to 52.6% at 5 years. Nevertheless, they were less likely to receive guideline-directed medical therapy. Relative to subjects with normal weight, Asian populations who were underweight had greater mortality risks than those of their Caucasian counterparts (p = 0.0062). In conclusion, in patients with myocardial infarction, those who were underweight tend to have poorer prognostic outcomes. A lower body mass index is an independent predictor of mortality, which calls for global efforts in addressing this modifiable risk factor in clinical practice guidelines. Although most of the current evidence on myocardial infarction focuses on obesity, there is growing evidence that patients who are underweight have unfavorable prognosis. This study aimed to explore the prevalence, clinical characteristics, and prognosis of this population at risk. Embase and Medline were searched for studies reporting outcomes in populations who were underweight with myocardial infarction. Underweight and normal weight were defined according to the World Health Organization criteria. A single-arm meta-analysis of proportions was used to estimate the prevalence of underweight in patients with myocardial infarction, whereas a meta-analysis of proportions was used to estimate the odds ratio of all-cause mortality, medications prescribed, and cardiovascular outcomes. Twenty-one studies involving 6,368,225 patients were included, of whom 47,866 were underweight. The prevalence of underweight in patients with myocardial infarction was 2.96% (95% confidence interval 1.96% to 4.47%). Despite having fewer classical cardiovascular risk factors, patients who were underweight had 66% greater hazard for mortality (hazard ratio 1.66, 95% confidence interval 1.44 to 1.92, p <0.0001). The mortality of patients who were underweight increased from 14.1% at 30 days to 52.6% at 5 years. Nevertheless, they were less likely to receive guideline-directed medical therapy. Relative to subjects with normal weight, Asian populations who were underweight had greater mortality risks than those of their Caucasian counterparts (p = 0.0062). In conclusion, in patients with myocardial infarction, those who were underweight tend to have poorer prognostic outcomes. A lower body mass index is an independent predictor of mortality, which calls for global efforts in addressing this modifiable risk factor in clinical practice guidelines. Although most of the current evidence on myocardial infarction focuses on obesity, there is growing evidence that patients who are underweight have unfavorable prognosis. This study aimed to explore the prevalence, clinical characteristics, and prognosis of this population at risk. Embase and Medline were searched for studies reporting outcomes in populations who were underweight with myocardial infarction. Underweight and normal weight were defined according to the World Health Organization criteria. A single-arm meta-analysis of proportions was used to estimate the prevalence of underweight in patients with myocardial infarction, whereas a meta-analysis of proportions was used to estimate the odds ratio of all-cause mortality, medications prescribed, and cardiovascular outcomes. Twenty-one studies involving 6,368,225 patients were included, of whom 47,866 were underweight. The prevalence of underweight in patients with myocardial infarction was 2.96% (95% confidence interval 1.96% to 4.47%). Despite having fewer classical cardiovascular risk factors, patients who were underweight had 66% greater hazard for mortality (hazard ratio 1.66, 95% confidence interval 1.44 to 1.92, p <0.0001). The mortality of patients who were underweight increased from 14.1% at 30 days to 52.6% at 5 years. Nevertheless, they were less likely to receive guideline-directed medical therapy. Relative to subjects with normal weight, Asian populations who were underweight had greater mortality risks than those of their Caucasian counterparts (p = 0.0062). In conclusion, in patients with myocardial infarction, those who were underweight tend to have poorer prognostic outcomes. A lower body mass index is an independent predictor of mortality, which calls for global efforts in addressing this modifiable risk factor in clinical practice guidelines. |
Author | Goh, Rachel Sze Jen Lin, Chaoxing Brown, Adrian Chew, Nicholas W.S. Fu, Clarissa Kong, Gwyneth Ong, Christen En Ya Chan, Mark Y. Khoo, Chin Meng Foo, Roger Dimitriadis, Georgios K. Loke, Wan Hsien Muthiah, Mark D. Idnani, Tasha Chong, Bryan Loh, Poay Huan Chin, Yip Han Chan, Kai En Ng, Bing Han |
Author_xml | – sequence: 1 givenname: Chaoxing surname: Lin fullname: Lin, Chaoxing organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 2 givenname: Wan Hsien surname: Loke fullname: Loke, Wan Hsien organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 3 givenname: Bing Han surname: Ng fullname: Ng, Bing Han organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 4 givenname: Yip Han surname: Chin fullname: Chin, Yip Han email: yiphan97@gmail.com organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 5 givenname: Bryan surname: Chong fullname: Chong, Bryan organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 6 givenname: Rachel Sze Jen surname: Goh fullname: Goh, Rachel Sze Jen organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 7 givenname: Gwyneth surname: Kong fullname: Kong, Gwyneth organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 8 givenname: Christen En Ya surname: Ong fullname: Ong, Christen En Ya organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 9 givenname: Kai En surname: Chan fullname: Chan, Kai En organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 10 givenname: Clarissa surname: Fu fullname: Fu, Clarissa organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 11 givenname: Tasha surname: Idnani fullname: Idnani, Tasha organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 12 givenname: Mark D. surname: Muthiah fullname: Muthiah, Mark D. organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 13 givenname: Chin Meng surname: Khoo fullname: Khoo, Chin Meng organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 14 givenname: Roger surname: Foo fullname: Foo, Roger organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 15 givenname: Poay Huan surname: Loh fullname: Loh, Poay Huan organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 16 givenname: Mark Y. surname: Chan fullname: Chan, Mark Y. organization: Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 17 givenname: Adrian surname: Brown fullname: Brown, Adrian organization: University College London Centre for Obesity Research, University College London, London, United Kingdom – sequence: 18 givenname: Georgios K. surname: Dimitriadis fullname: Dimitriadis, Georgios K. organization: Department of Endocrinology Association for the Study of Obesity/European Association for the Study of Obesity Collaborating Centres for Obesity Management, King's College Hospital National Health Service Foundation Trust, London, United Kingdom – sequence: 19 givenname: Nicholas W.S. surname: Chew fullname: Chew, Nicholas W.S. organization: Department of Cardiology, National University Heart Centre, National University Health System, Singapore |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37023510$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_clnu_2024_05_019 crossref_primary_10_1093_eurjpc_zwae281 crossref_primary_10_1016_j_lanwpc_2024_101138 crossref_primary_10_1016_j_diabres_2024_111652 crossref_primary_10_1111_dom_16062 crossref_primary_10_3389_fmed_2023_1193829 crossref_primary_10_1016_j_lanwpc_2023_100803 crossref_primary_10_1093_nutrit_nuad163 crossref_primary_10_1161_JAHA_123_032550 crossref_primary_10_1186_s12871_023_02329_0 crossref_primary_10_1007_s00392_024_02563_7 |
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SubjectTerms | Body Mass Index Body size Cardiovascular disease Cardiovascular diseases Clinical outcomes Cohort analysis Confidence intervals Ethnicity Heart Heart attacks Humans Medical prognosis Meta-analysis Mortality Myocardial infarction Myocardial Infarction - drug therapy Myocardial Infarction - epidemiology Obesity - epidemiology Patients Population studies Populations Prognosis Risk Factors Thinness - epidemiology Underweight Weight |
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Title | Mortality, Cardiovascular, and Medication Outcomes in Patients With Myocardial Infarction and Underweight in a Meta-Analysis of 6.3 Million Patients |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0002914923001200 https://dx.doi.org/10.1016/j.amjcard.2023.02.023 https://www.ncbi.nlm.nih.gov/pubmed/37023510 https://www.proquest.com/docview/2809538947 https://www.proquest.com/docview/2798716016 |
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