Discharge Hemoglobin Association with Long-Term Outcomes of ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention

Predicting left ventricular remodeling post-MI through coronary physiological measurements based on computational fluid dynamics

Early detection of left ventricular remodeling (LVR) is crucial. While cardiac magnetic resonance (CMR) provides valuable information, it has limitations. Coronary angiography-derived fractional flow reserve (caFFR) and index of microcirculatory resistance (caIMR) offer viable alternatives. 157 patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention were prospectively included. 23.6% of patients showed LVR. Machine learning algorithms constructed three LVR prediction models: Model 1 incorporated clinical and procedural parameters, Model 2 added CMR parameters, and Model 3 included echocardiographic and functional parameters (caFFR and caIMR) with Model 1. The random forest algorithm showed robust performance, achieving AUC of 0.77, 0.84, and 0.85 for Models 1, 2, and 3. SHAP analysis identified top features in Model 2 (infarct size, microvascular obstruction, admission hemoglobin) and Model 3 (current smoking, caFFR, admission hemoglobin). Findings indicate coronary physiology and echocardiographic parameters effectively predict LVR in patients with STEMI, suggesting their potential to replace CMR.

Risk stratification algorithm for clinical outcomes in anemic patients undergoing percutaneous coronary intervention

BACKGROUND

To explore the crosstalk between baseline or visit hemoglobin and major adverse cardiovascular and cerebral events (MACCE) in percutaneous coronary intervention (PCI) patients and to construct risk stratification models to predict MACCE amongst these patients.

MATERIALS AND METHODS

We conducted a retrospective cohort in patients undergoing PCI procedures at Beijing Friendship Hospital between January 2013 and December 2020. Multivariate Cox proportional hazards models were employed for data analyses. The composite MACCE was the primary endpoint and we used machine learning algorithms to evaluate risk factors associated with MACCE. Model performance was measured using Brier scores and receiver-operating characteristic curves. The association between risk factors and MACCE probability was examined using partial dependency plots.

RESULTS

8,298 PCI-treated patients were enrolled in the study. 1,919 of these patients had anemia. During a four-year median follow-up period, 1,636 patients (19.71%) had MACCE. The visit hemoglobin and hemoglobin change was associated with higher risk of MACCE respectively (visit hemoglobin: hazard ratio [HR]: 0.98; 95% confidence interval [CI]: 0.98-0.99; p < 0.001; hemoglobin change: HR: 0.99; 95%CI: 0.98-0.99; p < 0.001). Gradient Boosting (GB) was the BPM, with a mean C-statistic value of 0.78 (95% CI: 0.76-0.80) for predicting MACCE (Brier score: 0.26). The best indicator for MACCE was a low estimated glomerular filtration rate [eGFR] (71 mL/min/1.73m2) at admission, followed by a high serum HbA1c (6.6%) level. A simple risk tree successfully classified patients (17-40.5%) with increased risks of MACCE. The high- vs. low-risk HR for MACCE was 2.04 (95% CI: 1.48-2.82).

CONCLUSIONS

Visit hemoglobin and long-term hemoglobin changes were more predictive of MACCE risk than baseline hemoglobin levels. Our findings indicated that increasing hemoglobin levels might improve the long-term prognosis of anemia patients. We established a new risk stratification model for MACCE, which may more efficiently prioritize targeted screening for at-risk anemic patients undergoing PCI.

The Association Between High CHA2DS2-VASc Scores and Short and Long-Term Mortality for Coronary Care Unit Patients

Background

The CHA₂DS₂-VASc score has been associated with the prognosis of cardiovascular diseases. This study aimed to explore the association between the CHA₂DS₂-VASc score and all-cause mortality in coronary care unit (CCU) patients.

Methods

The study was based on the Medical Information Mart for Intensive Care (MIMIC) III database. CCU patients were divided into two groups according to CHA₂DS₂-VASc score: 0-3 (low risk)，4-9 (intermediate and high risk). The primary outcome was 30-day mortality, and the secondary endpoints included in-hospital, 1-year, and 5-year mortality. Propensity score matching (PSM) and sensitivity analyzes for the confounders were also performed. The restricted cubic splines flexibility model was used to demonstrate the relation between red blood cell volume distribution width (RDW), blood urea nitrogen (BUN), platelet, white blood cell (WBC), hemoglobin, phosphorus, glucose, potassium, sodium and 30-day mortality in the 0-3 score versus the 4-9 score groups after PSM.

Results

Among 4491 eligible patients, 988 patients with low CHA₂DS₂-VASc scores and 988 patients with intermediate and high CHA₂DS₂-VASc scores had similar propensity scores and were included in the analyzes. In the survival analysis, the patients with intermediate and high CHA₂DS₂-VASc scores were associated with higher 30-day mortality [hazard ratio (HR): 1.11; 95% confidence interval (CI), 1.02–1.20, P = .014], 1-year mortality [HR: 1.13; 95%CI, 1.06–1.19, P < .001], and 5-year mortality [HR: 1.13; 95%CI, 1.07–1.18, P < .001]. The interaction for 30-day mortality among subgroups was not significant between the 0-3 score versus the 4-9 score groups. The restricted cubic splines for 30-day mortality demonstrated an L-shaped trajectory for platelets and hemoglobin, a J-shaped trajectory for WBC, glucose and potassium, and a U-shaped trajectory for sodium, respectively (all nonlinear P <.001).

Conclusions

A high CHA₂DS₂-VASc score was an independent risk for 30-day, 1-year, and 5-year mortality for CCU patients.

Impact of anemia on clinical outcomes of patients with atrial fibrillation: The COOL-AF registry

BACKGROUND

To determine whether anemia is an independent risk factor for ischemic stroke and major bleeding in patients with non-valvular atrial fibrillation (NVAF).

HYPOTHESIS

Anemia in patients with NVAF increase risk of clinical complications related to atrial fibrillation.

METHODS

We conducted a prospective multicenter registry of patients with NVAF in Thailand. Demographic data, medical history, comorbid conditions, laboratory data, and medications were collected and recorded, and patients were followed-up every 6 months. The outcome measurements were ischemic stroke or transient ischemic attack (TIA), major bleeding, heart failure (HF), and death. All events were adjudicated by the study team. We analyzed whether anemia is a risk factor for clinical outcomes with and without adjusting for confounders.

RESULTS

There were a total of 1562 patients. The average age of subjects was 68.3 ± 11.5 years, and 57.7% were male. The mean hemoglobin level was 13.2 ± 1.8 g/dL. Anemia was demonstrated in 518 (33.16%) patients. The average follow-up duration was 25.8 ± 10.5 months. The rate of ischemic stroke/TIA, major bleeding, HF, and death was 2.9%, 4.9%, 1.8%, 8.6%, and 9.2%, respectively. Anemia significantly increased the risk of these outcomes with a hazard ratio of 2.2, 3.2, 2.9, 1.9, and 2.8, respectively. Oral anticoagulants (OAC) was prescribed in 74.8%; warfarin accounts for 89.9% of OAC. After adjusting for potential confounders, anemia remained a significant predictor of major bleeding, heart failure, and death, but not for ischemic stroke/TIA.

CONCLUSION

Anemia was found to be an independent risk factor for major bleeding, heart failure, and death in patients with NVAF.