Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction

A simple APACHE IV risk dynamic nomogram that incorporates early admitted lactate for the initial assessment of 28-day mortality in critically ill patients with acute myocardial infarction

BACKGROUND

Early risk stratification is important for patients with acute myocardial infarction (AMI). We aimed to develop a simple APACHE IV dynamic nomogram, combined with easily available clinical parameters within 24 h of admission, thus improving its predictive power to assess the risk of mortality at 28 days.

METHODS

Clinical information on AMI patients was extracted from the eICU database v2.0. A preliminary XGBoost examination of the degree of association between all variables in the database and 28-day mortality was conducted. Univariate and multivariate logistic regression analysis were used to perform screening of variables. Based on the multifactorial analysis, a dynamic nomogram predicting 28-day mortality in these patients was developed. To cope with missing data in records with missing variables, we applied the multiple imputation method. Predictive models are evaluated in three main areas, namely discrimination, calibration, and clinical validity. The discrimination is mainly represented by the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Calibration is represented by the calibration plot. Clinical validity is represented by the decision curve analysis (DCA) curve.

RESULTS

A total of 504 people were included in the study. All 504 people were used to build the predictive model, and the internal validation model used a 500-bootstrap method. Multivariate analysis showed that four variables, APACHE IV, the first sample of admission lactate, prior atrial fibrillation (AF), and gender, were included in the nomogram as independent predictors of 28-day mortality in AMI. The prediction model had an AUC of 0.819 (95%CI 0.770-0.868) whereas the internal validation model had an AUC of 0.814 (95%CI 0.765-0.860). Calibration and DCA curves indicated that the dynamic nomogram in this study were reflective of real-world conditions and could be applied clinically. The predictive model composed of these four variables outperformed a single APACHE IV in terms of NRI and IDI. The NRI was 16.4% (95% CI: 6.1-26.8%; p = 0.0019) and the IDI was 16.4% (95% CI: 6.0-26.8%; p = 0.0020). Lactate accounted for nearly half of the total NRI, which showed that lactate was the most important of the other three variables.

CONCLUSION

The prediction model constructed by APACHE IV in combination with the first sample of admission lactate, prior AF, and gender outperformed the APACHE IV scoring system alone in predicting 28-day mortality in AMI. The prediction dynamic nomogram model was published via a website app, allowing clinicians to improve the predictive efficacy of the APACHE IV score by 16.4% in less than 1 min.

A Nomogram for Predicting Hospital Mortality in Intensive Care Unit Patients with Acute Myocardial Infarction

Background

This study aims to construct and validate an early-stage nomogram for predicting hospital mortality of ICU patients with acute myocardial infarction (AMI), to help clinicians determine the appropriate intervention.

Methods

The primary cohort of 2704 patients diagnosed with acute myocardial infarction in admission records from eICU-Collaborative Research Database (eICU-CRD) v2.0. Univariate logistic regression analysis and multivariate logistic regression analysis were enrolled for the construction of the predictive nomogram. Demographic factors, history of clinical cardiovascular disease, vital signs, the use of vasopressors, urine output, and serum variables in the first 24 hours were included in this analysis. The nomogram was evaluated by performance traits including Harrell's concordance index (C-index) and area under the receiver operating characteristic (AUC) analysis, calibration curve, and decision curve analysis (DCA). The nomogram was validated in a different cohort containing 1026 subjects collected from MIMIC-III Database v1.4. Finally, in order to compare the performance with other classic prediction models, AUC analysis, calibration curve, DCA and accuracy analysis (net reclassification improvement (NRI)) were conducted for three ICU scores in validated cohort.

Results

The nomogram revealed 14 predictors of the first 24 hours derived from univariate and multivariable analyses, including age, history of peripheral vascular disease, atrial fibrillation, cardiogenic shock and cardiac arrest, the use of norepinephrine, urine output, white blood cell (WBC), hemoglobin (Hb), red blood cell (RBC), red cell distribution width (RDW), glucose, bicarbonate and magnesium. The C-index of this nomogram was 0.834 (95% CI 0.812 to 0.856). Then, the result of AUC analysis, the DCA and calibration curve indicated that our nomogram was feasible for clinical prediction. The predictive ability and clinical use of the nomogram were verified in the validated cohort. The AUC analysis of ICU scores showed that the AUC of these score systems was ranged from 0.811 to 0.860 (the AUC of nomogram: 0.885). Moreover, our nomogram also showed a better performance in calibration curve and DCA NRI.

Conclusion

The study presents a prediction nomogram incorporating 14 variables that could help identify AMI patients admitted in ICU who might have a high risk of hospital mortality in the first hospitalized 24 hours. This nomogram showed a better performance than normal ICU score systems.

High-Normal Serum Magnesium and Hypermagnesemia Are Associated With Increased 30-Day In-Hospital Mortality: A Retrospective Cohort Study

Background: Magnesium, the fourth most abundant mineral nutrient in our body, plays a critical role in regulating ion channels and energy generation, intracardiac conduction, and myocardial contraction. In this study, we assessed the association of admission serum magnesium level with all-cause in-hospital mortality in critically ill patients with acute myocardial infarction (AMI).

Methods: Clinical data were extracted from the eICU Collaborative Research Database (eICU-CRD). Only the data for the first intensive care unit (ICU) admission of each patient were used, and baseline data were extracted within 24 h after ICU admission. Logistic regression, Cox regression, and subgroup analyses were conducted to determine the relationship between admission serum magnesium level and 30-day in-hospital mortality in ICU patients with AMI.

Results: A total of 9,005 eligible patients were included. In the logistic regression analysis, serum magnesium at 2.2 to ≤2.4 and >2.4 mg/dl levels were both significant predictors of all-cause in-hospital mortality in AMI patients. Moreover, serum magnesium of 2.2 to ≤2.4 mg/dl showed higher risk of in-hospital mortality than magnesium of >2.4 mg/dl (adjusted odds ratio, 1.63 vs. 1.39). The Cox regression analysis yielded similar results (adjusted hazard ratio, 1.36 vs. 1.25).

Conclusions: High-normal serum magnesium and hypermagnesemia may be useful and easier predictors for 30-day in-hospital mortality in critically ill patients with AMI.

Transient Ischemic Attack Versus Seizure: Use of Complete Blood Count Parameters for Differential Diagnosis

INTRODUCTION

Seizures are an important group of diagnoses in the differential evaluation of Transient Ischemic Attack (TIA)because of their variable and temporary signs and symptoms. Physicians must frequently rule out TIA in asymptomatic patients with normal diagnostic neuroimaging.

AIM

The current study aimed to investigate the efficacy of Complete Blood Count (CBC) components in the differential diagnosis of TIA and seizures.

MATERIALS AND METHODS

Our study was a retrospective case-control study. Patients admitted to the Emergency Department (ED) and hospitalized with an initial diagnosis of TIA or seizure at the neurology clinic of Erzurum Ataturk University Training Hospital between January 1, 2012, and December 31, 2014, were recruited for the study. Patients with inaccessible or missing data were excluded.

RESULTS

We identified 1,459 ED admissions that resulted in neurology clinic hospitalizations of patients with initial diagnoses of TIA (n=911) and seizure (n=420) over a 24-month time period. A total of 128 patients were excluded from the study.

CONCLUSION

We conclude that CBC may have a diagnostic value on TIA and seizure differentiation, but this is limited because of statistical and clinical incompatibility. Elevated White Blood Cells (WBC) values of seizure patients compared with TIA patients' may help clinicians at the preliminary phase of diagnostic studies. We conclude that age is a remarkable and valuable demographic parameter in addition to physical examination, laboratory and imaging studies.

Percutaneous coronary intervention in a case of afibrinogenemia

Congenital afibrinogenemia is a rare autosomic recessive blood disorder. A 30-year-old lady, known to have congenital afibrinogenemia, presented with acute anterior myocardial infarction. We managed her with dual antiplatelet therapy and atorvastatin, but her chest pain did not subside and she was transferred to the catheterization laboratory. A proximal left anterior descending artery occlusion was crossed with a floppy wire. Angioplasty was performed successfully with a bare metal stent, and her symptoms resolved completely.

Clinical outcome, and survival between primary percutaneous coronary intervention versus fibrinolysis in patients older than 60 years with acute myocardial infarction

OBJECTIVE

The aim of the present study was to compare the short-term and 6-month clinical outcome, and survival in patients older than 60 years with ST-elevation myocardial infarction randomized to either primary percutaneous coronary intervention (PPCI) or thrombolysis.

MATERIALS AND METHODS

82 patients with STEMI older than 60 years were randomized to either primary PCI or thrombolysis from September 2006 to August 2008. Angiograms were reviewed by two interventionalists not involved in the study. Patients randomized to primary PCI received Aspirin and 600 mg Clopidogrel. Heparin was administered in conjunction with PCI. Patients randomized to thrombolysis received Aspirin followed by streptokinase infusion for one hour. Rescue PCI was considered if there was ongoing pain and ST-segment resolution was <50% at 90 min. after initiation of thrombolysis or chest pain recurred with ST-segment elevation within 24 hours. All patients were followed up for 6 months. End points were reinfarction and cardiac death using competing-risks regression estimation.

RESULTS

The mean time from hospital admission to start of streptokinase infusion was 31 ± 15 min and door to balloon time was 70 ± 25 min. There was no significant difference between the groups in the number of deaths and reinfarctions at 6 months. As expected, the fibrinolysis group had a higher rate of revascularization and heart failure.

CONCLUSION

The higher rates of heart failure and need for revascularization in the fibrinolysis group reinforces benefits of PPCI in patients older than 60 years. PPCI in those who are 60 years and above with AMI is safe and cost effective.