Nutritional Status as a Risk Factor for New-Onset Atrial Fibrillation in Acute Myocardial Infarction

Prevalence of malnutrition among adult inpatients in China: a nationwide cross-sectional study

Malnutrition substantially contributes to adverse clinical outcomes. However, no national survey has been conducted to characterize its epidemiology in hospital settings in China. We conducted the China Nutrition Fundamental Data 2020 project among a multistage stratified cluster sample of adult inpatients from 291 study sites across 30 provinces, autonomous regions and municipalities (except for Hong Kong, Macao, Taiwan Province, and the Xizang Autonomous Region, please see MATERIALS AND METHODS for details of the causes) of China to generate reliable data on the prevalence of malnutrition and explore the associated risk factors. We collected information on participants' sociodemographic characteristics, physical examinations, and laboratory test results. Malnutrition was defined according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. The standardized prevalence of malnutrition was calculated, and factors associated with malnutrition were examined using logistic regression analyses. We included 54,652 individuals with seven systemic diseases who completed all the survey documents in the final analysis. The overall prevalence of malnutrition was 12.5%, representing 7.6 million adult inpatients in China. The prevalence of malnutrition was higher in men, individuals aged ⩾ 60 years, residents of central and western regions, people from lower economic areas, and those with lower education levels than in women, individuals aged <60 years, residents of eastern regions, individuals from higher economic areas, and those with higher education levels. Patients with higher disease severity scores, infectious diseases, and neoplasms had a higher tendency for malnutrition than those without such conditions. Sex, age, region, economic level, education level, disease severity score, infectious diseases, and neoplasms were independently associated with malnutrition. In conclusion, malnutrition is prevalent among Chinese adult inpatients, necessitating national- and hospital-level interventions. This survey provides several avenues to begin addressing the burden of malnutrition in China.

Predictive value of nutritional scores in non-valvular atrial fibrillation patients: Insights from the AFTER-2 study

BACKGROUND AND AIM

Many scoring systems are used to evaluate malnutrition, but there is no consensus on which scoring system would be more appropriate. We aimed to investigate the effect of malnutrition in patients with non-valvular atrial fibrillation (NVAF) and to compare three scoring systems.

METHODS AND RESULTS

A total of 2592 patients with non-valvular AF from 35 different centers in Turkey were included in this prospective study. All participants were divided into two groups: 761 patients who died and 1831 patients who were alive. The malnutrition status of all participants was evaluated with three scoring systems. The primary outcome was all-cause mortality. The mean age of the population was 68.7 ± 11.1 years, and 55.5 % were female. According to Cox regression analysis, the geriatric nutritional risk index (GNRI) (HR = 0.989, 95 % CI: 0.982-0.997, p = 0.007), controlling nutritional status (CONUT) score (HR = 1.121, 95 % CI: 1.060-1.185, p < 0.001), and prognostic nutritional index (PNI) (HR = 0.980, 95 % CI: 0.962-0.999, p = 0.036) were found to be significant mortality predictors. ROC curve analysis indicated GNRI (AUC = 0.568), CONUT (AUC = 0.572), and PNI (AUC = 0.547) had moderate predictive values. Kaplan-Meier analysis showed that increasing the risk class based on GNRI (p < 0.001) and CONUT (p < 0.001) was associated with decreased survival, while PNI staging had no statistically significant effect (p = 0.266).

CONCLUSIONS

Malnutrition, determined by three scoring systems, was found to be an independent predictor of all-cause mortality in NVAF patients. Nutritional examination may provide useful information for prognosis and risk stratification in patients with NVAF.

The impact of new-onset atrial fibrillation in the setting of acute coronary syndrome

Approximately 10 % of patients who have suffered from myocardial infarction develop new-onset atrial fibrillation (AF). Coronary artery disease implicating atrial branches has been associated with AF. The following variables have been associated with new-onset AF in the setting of acute coronary syndrome: older age, history of hypertension, history of angina, history of stroke, chronic renal failure, body mass index, no statin use, worse nutritional status, worse Killip class, admission heart rate ≥ 85 bpm, complete atrioventricular block, Glasgow prognostic score, Syntax score, C2HEST score > 3, PRECISE-DAPT score ≥ 25, left ventricular ejection fraction ≤40 %, increased left atrial diameter, E/E' ratio > 12, epicardial fat tissue thickness, and thrombolysis in myocardial infarction flow < 3. Regarding laboratory variables, elevated D-dimer levels, C-reactive protein levels, N-terminal pro-B-type natriuretic peptide, creatine kinase-MB, high-sensitivity troponin T at baseline, midregional pro-atrial natriuretic peptide, and cholesterol levels have been proposed as potential predictors of AF in this setting. Regarding the impact of new-onset AF on clinical outcomes, it has been associated with an increased risk of stroke, higher mortality rates, heart failure, cardiogenic shock, higher odds of ventricular arrhythmias and major adverse cardiac events. New-onset AF is an indicator of worse in-hospital prognosis compared to patients with a previous history of AF. New-onset AF, as well as previous AF, were strong predictors of ischemic stroke, and therefore, patients with new-onset AF should be anticoagulated according to the CHA2DS2-VASc score. Cardioversion to sinus rhythm, if possible, is advised before the discharge as it may be related to better outcomes.

Impact of the Geriatric Nutritional Risk Index on In-hospital Thrombosis and Mortality in Patients Hospitalized with COVID-19

Objective To determine whether nutritional status is related to the incidence of thrombosis and mortality in patients with coronavirus disease 2019 (COVID-19). Methods A total of 496 consecutive patients who were admitted and diagnosed with COVID-19 between April 2020 and March 2023 were retrospectively analyzed. The geriatric nutritional risk index (GNRI) on admission was calculated as follows: 14.89×serum albumin (g/dL) +41.7×body mass index/22. Patients were divided into two groups according to the median GNRI values. The endpoint of this study was a composite of in-hospital thrombotic events and mortality. Results The median GNRI value was 99.3. Patients in the low GNRI (≤99.3) group were older (75±21 vs. 51±20 years, p<0.001) and more likely to be female (55.6% vs. 41.1%, p<0.05). In addition, patients with a low GNRI often exhibited hypertension (43.5% vs. 28.2%, p<0.001) and had a history of cardiovascular disease (34.3% vs. 14.5%, p<0.001). Under these conditions, the median D-dimer levels on admission were significantly higher in patients with a low GNRI (0.90 μg/mL; interquartile range (IQR), 0.49-1.64 μg/mL) than those with high GNRI (0.36 μg/mL; IQR, 0.26-0.51 μg/mL, p<0.001). During hospitalization, the composite endpoint was observed in 32 patients. In the logistic regression analysis, a low GNRI was significantly associated with the composite endpoint adjusted using inverse probability of treatment weighting (odds ratio, 3.24; 95% confidence interval: 1.51-6.93, p<0.05). Conclusion Assessment of the GNRI provides useful information for predicting in-hospital thrombosis and mortality in COVID-19 patients.

Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes

OBJECTIVE

This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using a machine learning (ML) algorithm.

METHODS

AMI patients who underwent PCI were recruited and randomly divided into non/ACE groups. Inflammatory and nutritional indices were graded according to the laboratory examination reports. Logistic Regression was used to screen for factors that were significant for ML model establishment. The performances of the algorithms were evaluated in terms of accuracy, kappa, F1, receiver operating characteristic, precision recall curve, etc. RESULTS: Age, LVEF%, Killip Grade, heart rate, creatinine, albumin, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and prognostic nutritional index (PNI) were significantly correlated with ACE by Logistic regression analysis (P < 0.05). These nine factors were employed to establish stepwise regression (SR), random forest (RF), naïve Bayes (NB), decision trees (DT), and artificial neutron network (ANN), whose performances were evaluated in terms of accuracy, kappa, F1, receiver operating characteristic, precision recall curve, etc. The accuracy of the decision tree was greater than that of other trees. The area under the curves was the highest in the ANN model compared with the other models.

CONCLUSION

ANN predictive performance had an advantage over other ML algorithms based on age, LVEF%, Killip Grade, heart rate, creatinine, albumin, NLR, PLR, and PNI.

Association between Inflammation and New-Onset Atrial Fibrillation in Acute Coronary Syndromes

Acute coronary syndrome (ACS) is a complex clinical syndrome that encompasses acute myocardial infarction (AMI) and unstable angina (UA). Its underlying mechanism refers to coronary plaque disruption, with consequent platelet aggregation and thrombosis. Inflammation plays an important role in the progression of atherosclerosis by mediating the removal of necrotic tissue following myocardial infarction and shaping the repair processes that are essential for the recovery process after ACS. As a chronic inflammatory disorder, atherosclerosis is characterized by dysfunctional immune inflammation involving interactions between immune (macrophages, T lymphocytes, and monocytes) and vascular cells (endothelial cells and smooth muscle cells). New-onset atrial fibrillation (NOAF) is one of the most common arrhythmic complications in the setting of acute coronary syndromes, especially in the early stages, when the myocardial inflammatory reaction is at its maximum. The main changes in the atrial substrate are due to atrial ischemia and acute infarcts that can be attributed to neurohormonal factors. The high incidence of atrial fibrillation (AF) post-myocardial infarction may be secondary to inflammation. Inflammatory response and immune system cells have been involved in the initiation and development of atrial fibrillation. Several inflammatory indexes, such as C-reactive protein and interleukins, have been demonstrated to be predictive of prognosis in patients with ACS. The cell signaling activation patterns associated with fibrosis, apoptosis, and hypertrophy are forms of cardiac remodeling that occur at the atrial level, predisposing to AF. According to a recent study, the presence of fibrosis and lymphomononuclear infiltration in the atrial tissue was associated with a prior history of AF. However, inflammation may contribute to both the occurrence/maintenance of AF and its thromboembolic complications.

The geriatric nutritional risk index is related to adverse hospitalization outcomes in individuals undergoing cardiac surgery

Malnutrition is linked to adverse outcomes in post-cardiac surgery patients. This study investigates the correlation between the Geriatric Nutritional Risk Index (GNRI) and adverse hospital outcomes in patients following cardiac surgery. This retrospective study included elderly patients with heart disease who were admitted to the Department of Cardiology, Fujian Medical University Union Hospital from January 2020 to December 2022. Patients were divided into two groups based on the cut-off value (98 g/dL). Data from 407 patients were assessed, with 278 (68.3%) classified as having nutritional risk and 129 (31.7%) as having no nutritional risk. Notable distinctions were observed in body weight, BMI, and left ventricular ejection fraction (P < 0.05). Laboratory indicators indicated lower levels of serum albumin, lymphocytes, red blood cells, hemoglobin, admission blood glucose, and admission triglyceride in the nutritional risk group (P < 0.05). Neutrophils and serum creatinine were higher in the nutritional risk group (P < 0.05). Poor prognosis was prevalent in the nutrition risk group (64.7%), with higher incidences of adverse outcomes (P < 0.05). Univariate and multivariate studies showed that GNRI < 98 g/dL was an independent predictor of postoperative cardiac surgery. Nutritional risk was an important predictor of adverse hospital outcomes after the surgery.

Establishment and evaluation of a nomogram for in-hospital new-onset atrial fibrillation after percutaneous coronary intervention for acute myocardial infarction

Background

New-onset atrial fibrillation (NOAF) is prognostic in acute myocardial infarction (AMI). The timely identification of high-risk patients is essential for clinicians to improve patient prognosis.

Methods

A total of 333 AMI patients were collected who underwent percutaneous coronary intervention (PCI) at Zhejiang Provincial People's Hospital between October 2019 and October 2020. Least absolute shrinkage and selection operator regression (Lasso) and multivariate logistic regression analysis were applied to pick out independent risk factors. Secondly, the variables identified were utilized to establish a predicted model and then internally validated by 10-fold cross-validation. The discrimination, calibration, and clinical usefulness of the prediction model were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow test decision curve analyses, and clinical impact curve.

Result

Overall, 47 patients (14.1%) developed NOAF. Four variables, including left atrial dimension, body mass index (BMI), CHA2DS2-VASc score, and prognostic nutritional index, were selected to construct a nomogram. Its area under the curve is 0.829, and internal validation by 10-fold cross-folding indicated a mean area under the curve is 0.818. The model demonstrated good calibration according to the Hosmer-Lemeshow test (P = 0.199) and the calibration curve. It showed satisfactory clinical practicability in the decision curve analyses and clinical impact curve.

Conclusion

This study established a simple and efficient nomogram prediction model to assess the risk of NOAF in patients with AMI who underwent PCI. This model could assist clinicians in promptly identifying high-risk patients and making better clinical decisions based on risk stratification.

Nutritional Status and Sleep Quality Are Associated with Atrial Fibrillation in Patients with Obstructive Sleep Apnea: Results from Tokyo Sleep Heart Study

The prevalence of obstructive sleep apnea (OSA) in patients with atrial fibrillation (AF) has been observed to be much higher than in control participants without AF. Limited data exist regarding the prevalence of AF in patients with OSA. The clinical characteristics, nutritional status, and sleep parameters associated with AF in patients with OSA remain unclear. In this study, we aimed to determine the prevalence and factors associated with AF in patients with OSA from a large Japanese sleep cohort (Tokyo Sleep Heart Study). This was a single-center explorative cross-sectional study. Between November 2004 and June 2018, we consecutively recruited 2569 patients with OSA who underwent an overnight full polysomnography at our hospital. They were assessed using a 12-lead ECG and echocardiography. The clinical characteristics, sleep parameters, and medical history were also determined. Of the OSA patients, 169 (6.6%) had AF. Compared with the non-AF patients, OSA patients with AF were older and male, and they had higher prevalence of a history of alcohol consumption, hypertension, chronic kidney disease, and undernutrition, as well as a reduced ejection fraction. With regard to the sleep study parameters, OSA patients with AF had reduced slow-wave sleep and sleep efficiency, as well as higher periodic limb movements. There were no significant differences in the apnea-hypopnea index or hypoxia index between the two groups. The logistic regression analysis demonstrated that age (OR = 4.020; 95% CI: 1.895-8.527; p < 0.001), a history of alcohol consumption (OR = 2.718; 95% CI: 1.461-5.057; p = 0.002), a high CONUT score (OR = 2.129; 95% CI: 1.077-4.209; p = 0.030), and reduced slow-wave sleep (OR = 5.361; 95% CI: 1.505-19.104; p = 0.010) were factors significantly related to AF. The prevalence of AF in patients with OSA was 6.6%. Age, a history of alcohol consumption, undernutrition, and reduced sleep quality were independent risk factors for the presence of AF in patients with OSA, regardless of the severity of OSA.

The Relationship between Nutritional Risk and the Most Common Chronic Diseases in Hospitalized Geriatric Population from Central Poland

The aim of this study was to assess the relationship between Nutrition Risk Screening 2002 (NRS-2002) and the prevalence of concomitant chronic diseases among hospitalized older adults. This study included 2122 consecutively hospitalized older participants with an average age of 82 years. The criteria to participate were the ability to communicate and give consent. In multivariate design, the prevalence of nutritional risk with at least 3 points in the NRS-2002 score was associated with the presence of stroke, atrial fibrillation, dementia and pressure ulcers. Patients with arterial hypertension, lipid disorders, osteoarthritis and urine incontinence had a significantly lower (better) NRS-2002 score. The explanation of the inverse relationship between some disorders and nutritional risk may be their occurrence in relatively earlier age and the relationship with body mass index. In conclusion, the study revealed which medical conditions coexist with the increased nutritional risk in a “real-world” hospitalized geriatric population. The hospital admission of an older subject with stroke, atrial fibrillation, dementia or pressure ulcers should primarily draw attention to the nutritional risk of the patient.