Association of blood pressure in the first-week of hospitalization and long-term mortality in patients with acute left ventricular myocardial infarction

Tang, Yan; Liu, Suzhen; Shi, Yunming; Tian, He; Sun, Xuejing; Wu, Mingxing; Peng, Zhiliu; Gui, Fei; Yuan, Hong; Lu, Yao; Cai, Jingjing; Chen, Yuanyuan

doi:10.1016/j.ijcard.2021.11.045

Cited by 8 publications

(5 citation statements)

References 44 publications

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“…In this study we found that patients with DBP>90 mmgh had a death rate of 2.35%. In another study, patients with CVDs who have DBP>80 had death rate of 18.00% [22]. The reason for the difference in death rate between our study and the others could be due the AI method of analysis.…”

Section: Discussioncontrasting

confidence: 49%

Prediction of mortality in young adults with cardiovascular disease using artificial intelligence

Ahmad,

Bani Hani,

Abu-Abeeleh

et al. 2024

ELECTRON J GEN MED

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Background: Young mortality is prevalent among patients with cardiovascular disease (CVD). To develop prediction models for CVD mortality in young adults, it is crucial to assess CVD risks. Early detection of cardiac disorders using machine learning algorithms, a branch of artificial intelligence (AI) is crucial for preventing more damage to coronary arteries and saving lives. Aims: To predict mortality versus a life outcome among young adults (18-45 years) with CVD using AI technique known as Chi-squared automatic interaction detector (CHAID) algorithms. Methods: A large-scale dataset was extracted from the electronic health records of 809 young adult patients diagnosed with CVD using a retrospective design. Information was retrieved regarding young adults from Jordan who were admitted to public health institutions between 2015 and the end of 2021. Results: CHAID algorithms were chosen among seven prediction models based on accuracy and area under curve to predict mortality vs life in young individuals (18-45 years old) with CVD. The mortality prediction algorithms started with pulse pressure, then diastolic blood pressure, then ischemic heart disease, and last geographical location. Conclusions: CHAID model used in our study indicated how the death rate was classified and distributed among a variety of parameters. As a result, we may argue that AI model could provide additional information on how many aspects are articulated in connection to CVD patient fatality situations.

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Section: Discussioncontrasting

confidence: 49%

Prediction of mortality in young adults with cardiovascular disease using artificial intelligence

Ahmad,

Bani Hani,

Abu-Abeeleh

et al. 2024

ELECTRON J GEN MED

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“…The association between SBP or DBP and adverse outcomes followed a U-shaped or J-shaped curve [27,[42][43][44]. Both low blood pressure and hypertension can increase the incidence of adverse events independently of other influencing factors [29,45]. For AMI patients after emergency PCI, the occurrence of no-reflow is closely related to the aforementioned adverse reactions [6][7][8].…”

Section: Discussionmentioning

confidence: 99%

Association of Pre-PCI Blood Pressure and No-Reflow in Patients with Acute ST-Elevation Coronary Infarction

Li,

Yu,

Lei

et al. 2024

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Background: Previous studies have established blood pressure (BP) as a pivotal factor influencing no-reflow following primary percutaneous coronary intervention (PCI) in patients with ST-elevation acute coronary infarction (STEMI). However, no relevant study has been conducted to investigate the optimal range of BP associated with the lowest risk of no-reflow among STEMI patients so far. Therefore, our objective was to evaluate the association between pre-PCI BP and the occurrence of no-reflow in patients with STEMI. Method: We included 1025 STEMI patients undergoing primary PCI. The BP pre-PCI was categorized into 20-mmHg increments. Logistic models were employed to assess the association of no-reflow with systolic blood pressure (SBP) or diastolic blood pressure (DBP). Three sensitivity analyses were conducted to further confirm the robustness of the association between blood pressure and no-reflow. Results: SBP or DBP exhibited a U-shaped curve association with no-reflow. No-reflow was higher in patients with lower SBP (<100 mmHg) (adjusted hazard ratio (OR) 3.64, 95% confidence interval (CI) 1.84,7.21; p < 0.001) and lower DBP (<60 mmHg) (OR 3.28, 95% CI 1.63,6.49; p < 0.001) [reference: 120 ≤SBP <140; 80 ≤DBP <100 mmHg], respectively. Furthermore, no-reflow was higher in patients with higher SBP (≥160 mmHg) (OR 2.07, 95% CI 1.27,3.36; p = 0.003) and DBP (≥100 mmHg) (OR 3.36, 95% CI 2.07,5.46; p < 0.001), respectively. The results of sensitivity analyses were consistent with the above findings. Conclusion: Maintaining a pre-PCI SBP within the range of 120 to 140 mmHg and a DBP within the range of 80 to 100 mmHg may be confer benefits to patients with STEMI in no-reflow.

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“…AMI is a common cardiovascular condition that not only negatively impacts patients’ quality of life but also significantly burdens society and families and is the main cause of mortality worldwide for people with CVD [ 6 ]. Despite advancements in revascularization techniques and pharmacology, the in-hospital and 5-year mortality rates of AMI remain at 5% and 20%, respectively [ 7 ]. The mortality rate for Ishemic Heart Disease (IHD) alone has reached levels ranging from 152 to 204 per 100,000 individuals within the population [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Genetic variants rs2910164, rs4636297 and rs895819 may contribute to the onset of acute myocardial infarction in Pakistani population

Ali,

Haq,

Hussain

et al. 2024

PLoS ONE

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The most serious type of coronary artery disease (CAD), acute myocardial infarction (AMI), is a major global cause of death. The development of AMI is accompanied by several risk factors. AMI may be caused by variations in the microRNA (miRNA) genes, which have a negative impact on miRNA-mediated regulation of gene expression. The target mRNAs are dysregulated because of these genetic changes in the miRNA genes, which interfere with the vital biological processes that result in AMI. Using allele-specific PCR, the aim of the study is to examine the association of the variants (rs2910164, rs4636297, and rs895819) in MIR146A, MIR126, and MIR27A with AMI susceptibility. A difference in genotype distribution among the patients and control for variation rs2910164 was identified by co-dominant [χ2 = 68.34,2; P value<0.0001], dominant (G/G vs G/C + C/C) [OR = 4.167 (2.860–6.049); P value<0.0001], recessive (C/C vs G/C + G/G) [OR = 0.2584 (0.1798–0.3731); P value<0.0001], and additive models [OR = 3.847 (2.985–4.959); P value<0.0001]. Whereas the association of rs4636297 was investigated by co-dominant [χ2 = 6.882,2; P value = 0.0320], dominant (G/G vs G/A + A/A) [OR = 0.6914 (0.4849–0.9948); P value = 0.0489], recessive (A/A vs A/G + G/G) [OR = 2.434 (0.9849–5.616830); P value = 0.0595], and additive models [OR = 0.7716 (0.6000–0.9918); P value = 0.0433]. Similarly, association of rs895819 was determined by co-dominant [χ2 = 5.277, 2; P value = 0.0715], dominant (G/G vs G/A + A/A) [OR = 1.654(0.9819–2.801); P value = 0.06440], recessive (A/A vs A/G + G/G) [OR = 0.7227 (0.5132–1.022); P value = 0.0748], and additive models [OR = 1.3337 (1.041–1.719); P value = 0.0233]. The results of this study found a significant association of rs2910164 and rs4636297 with AMI and are considered as the risk factor for AMI in the Pakistani population. We observed no significant association of the variant MIR27A (rs895819) with AMI incidence.

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Association of blood pressure in the first-week of hospitalization and long-term mortality in patients with acute left ventricular myocardial infarction

Cited by 8 publications

References 44 publications

Prediction of mortality in young adults with cardiovascular disease using artificial intelligence

Prediction of mortality in young adults with cardiovascular disease using artificial intelligence

Association of Pre-PCI Blood Pressure and No-Reflow in Patients with Acute ST-Elevation Coronary Infarction

Genetic variants rs2910164, rs4636297 and rs895819 may contribute to the onset of acute myocardial infarction in Pakistani population

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