APACHE-II score and Killip class for patients with acute myocardial infarction

The Ratio of Red Blood Cell Distribution Width to Albumin as a Predictor for Rehospitalization Risk and Rehospitalization All-Cause Mortality in Middle-Aged and Elderly Survivors with Sepsis: An Ambispective ICU Cohort Study

Objective

To explore the relationship between red blood cell distribution width to albumin (RDW/ALB) ratio (RAR) and the risk of rehospitalization and rehospitalization all-cause mortality in middle-aged and elderly survivors with sepsis based on an ambispective longitudinal cohort from the Intensive Care Unit (ICU).

Methods

Between 2017 and 2022, 455 adults who survived the first-episode severe sepsis without recurrence for at least 3 months were included in this study. All participants were followed up every 4 weeks for 12 months. According to the tertiles of RAR, participants were divided into three groups: low-level (≤0.36, n = 152), moderate-level (0.37-0.44, n = 152), and high-level (≥0.45, n = 151). The relationship between RAR and the risk of rehospitalization and rehospitalization all-cause mortality was evaluated.

Results

Out of 455 participants, 156 experienced rehospitalization (34.3%), of which 44 (28.2%) died. Receiver operating characteristic (ROC) analysis showed that the RAR cut-off values for rehospitalization and rehospitalization all-cause mortality were 0.4251 and 0.4743, respectively. Multivariate Cox regression analysis indicated that the RAR was positively associated with rehospitalization (P = 0.011) and all-cause mortality (P = 0.006). Compared with the low-level, the high-level RAR presented a higher dose-dependent rehospitalization risk (P = 0.02) and rehospitalization all-cause mortality (P = 0.044). The stratified analysis displayed that compared to the low-level, with the RAR increasing by 1.0, the risk for rehospitalization increased 3.602-fold in aged <65 patients (P = 0.002) and 1.721-fold in female patients (P = 0.014). Kaplan-Meier survival analysis implied a significant positive association between the RAR and the cumulative incidence of rehospitalization and rehospitalization all-cause mortality (log-rank, all P < 0.001).

Conclusion

RAR has a reliable predictive value for the risk of rehospitalization and rehospitalization all-cause mortality in patients with sepsis. Consequently, monitoring RAR for at least 1 year after surviving sepsis in female patients aged <65 in clinical practice is critical.

A Predictive Model of New-Onset Atrial Fibrillation After Percutaneous Coronary Intervention in Acute Myocardial Infarction Based on the Lymphocyte to C-Reactive Protein Ratio

Purpose

Lymphocyte to C-reactive protein ratio (LCR) is a recognized systemic inflammatory marker and novel prognostic indicator for several cancers. This study investigated the relationship between preoperative LCR and new-onset atrial fibrillation (NOAF) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI).

Patients and Methods

Patients with AMI (n=662) with no history of atrial fibrillation (AF) were enrolled and classified into NOAF and non-NOAF groups based on the occurrence of postoperative NOAF during hospitalization. Logistic regression models were used to analyze NOAF risk factors and to assess the association between preoperative LCR and NOAF incidence. We constructed a new nomogram from the selected NOAF risk factors, and tested its predictive performance, degree of calibration, and clinical utility using receiver operating characteristic and calibration curves, decision curve analysis, and clinical impact curves.

Results

Overall, 84 (12.7%) patients developed NOAF during hospitalization. The LCR was significantly lower in the NOAF group. Preoperative LCR accurately predicted NOAF after AMI and was correlated with increased NOAF risk. Age, body mass index, diabetes, serum albumin levels, uric acid levels, left atrium (LA) diameter, left ventricular ejection fraction, left circumflex artery stenosis > 50%, and Killip class II status were independent predictors of NOAF after AMI. In addition, a new nomogram combined with LCR was constructed to stratify the risk of NOAF in patients with AMI. The performance of the new nomogram was satisfactory, as shown by the receiver operating characteristic curve, calibration curve, decision curve analysis and clinical impact curve.

Conclusion

Preoperative LCR was an independent predictor of NOAF in patients with AMI after PCI. The novel nomogram combined with LCR could rapidly and individually identify and treat patients at a high risk of NOAF.

The association between Day-1 urine cadmium excretion and 30-day mortality in patients with acute myocardial infarction: A multi-institutional cohort study

BACKGROUND

The aim of this study was to investigate the relationship between day-1 urine cadmium excretion and 30-day mortality in patients with acute myocardial infarction (AMI) at two centers.

METHODS

A total of 286 patients (222 males and 64 females) with AMI from Huashan Hospital, Shanghai and Chang Gung Memorial Hospital, Taiwan were enrolled. Basic vital signs, history, laboratory results, and day-1 urine excretion of cadmium (D1UECd) were recorded. Disease severity was assessed during the first hospitalization using Killip score, APACHE II score, and SOFA score. The main endpoint was 30-day mortality.

RESULTS

Among the 286 patients, 218 were from Chung Gung Memorial Hospital and 68 were from Huashan Hospital with an average age of 64.2 years. Forty (14%) patients died within 30 days after AMI. The average 24-h urine cadmium level among the Chung Gung Memorial Hospital cohort was 1.5 ± 2.4 μg compared to 1.7 ± 1.7 μg among Huashan Hospital cohort, both higher than the local populations. A higher D1UECd level was significantly associated with a greater risk of 30-day mortality (odds ratio 1.68, 95% confidence interval 1.30-2.16) after controlling for a number of covariates. The ability of D1UECd to discriminate 30-day mortality was excellent, with a very high area under the curve (87.2%, 95% CI 82.0-92.5%).

CONCLUSION

D1UECd was positively correlated and an independent predictor of 30-day mortality in the enrolled AMI patients. D1UECd may be a simple, objective prognostic scoring system in AMI patients.

Outcome of patients with acute heart failure secondary to acute myocardial infarction treated with noninvasive mechanical ventilation

INTRODUCTION AND OBJECTIVES

Noninvasive ventilation (NIV) has been shown to reduce the rate of endotracheal intubation and mortality in patients with acute heart failure (AHF). However, patients with AHF secondary to acute coronary syndrome/acute myocardial infarction (ACS-AMI) have been excluded from many clinical trials. The purpose of this study was to compare the effectiveness of NIV between patients with AHF triggered by ACS-AMI and by other etiologies.

METHODS

Prospective cohort study of all patients with AHF treated with NIV admitted to the intensive care unit for a period of 20 years. Patients were divided according to whether they had ACS-AMI as the cause of the AHF episode. NIV failure was defined as the need for endotracheal intubation or death.

RESULTS

A total of 1009 patients were analyzed, 403 (40%) showed ACS-AMI and 606 (60%) other etiologies. NIV failure occurred in 61 (15.1%) in the ACS-AMI group and in 64 (10.6%) in the other group (P=.031), without differences in in-hospital mortality (16.6% and 14.9%, respectively; P=.478).

CONCLUSIONS

The presence of ACS-AMI as the triggering cause of AHF did not influence patients with acute respiratory failure requiring noninvasive respiratory support.

Familial hypercholesterolemia in very young myocardial infarction

Familial hypercholesterolemia (FH) is one of the most common causes of premature myocardial infarction (MI). However, The patterns of FH remained unrecognized in clinical care, especially in very young patients (VYPs, ≤35 years) with MI. The present study enrolled a total of 1,093 VYPs (≤35 years) presenting a first MI. Clinical diagnosis of FH was made using Dutch Lipid Clinic Network criteria. Coronary severity was assessed by Gensini score (GS). Patients were followed for a median of 40-months with cardiac death, stroke, MI, post-discharge revascularization or unstable angina as primary endpoints. The detected rates of definite/probable FH were 6.5%. The prevalence reached up to 10.3% in patients ≤25 years. The FH had similar levels of comorbidities but was younger, more likely to be very high risk (VHR) and had higher GS (p < 0.05) than unlikely FH. Notably, the FH on prior lipid-lowering medication presented a lower GS compared to those untreated. Differences in event rates were similar in FH as unlikely FH (11.8% vs. 8.1%, adjusted hazard ratio 1.35 [0.64–2.86], p = 0.434) but patients on treatment improved outcome (6.5% vs. 10.5%, adjusted hazard ratio 0.35[0.13–0.95], p = 0.039). The early identification and treatment might be critical to reduce cardiovascular risk in VYPs with MI.

Validation of the Intensive Care National Audit and Research Centre Scoring System in a UK Adult Cardiac Surgery Population

OBJECTIVE

The Intensive Care National Audit and Research Centre (ICNARC) scoring system was conceived in 2007, utilizing 12 physiologic variables taken from the first 24 hours of adult admissions to the general intensive care unit (ICU) to predict in-hospital mortality. The authors aimed to evaluate the ICNARC score in predicting mortality in cardiac surgical patients compared to established cardiac risk models such as logistic EuroSCORE as well as to the Acute Physiology and Chronic Health Evaluation (APACHE) II.

DESIGN

Retrospective analysis of data collected prospectively.

SETTING

Single-center study in a cardiac intensive care in a regional cardiothoracic center.

PARTICIPANTS

Patients undergoing cardiac surgery between January 2010 and June 2012.

METHODS

A total of 1,646 patients were scored preoperatively using the logistic EuroSCORE and postoperatively using ICNARC and APACHE II. Data for comparison of scoring systems are presented as area under the receiver operating characteristic curve.

MEASUREMENTS AND MAIN RESULTS

The mean age at surgery was 67 years±10.1. The mortality from all cardiac surgery was 3.2%. The mean logistic EuroSCORE was 7.31±10.13, the mean ICNARC score was 13.42±5.055, while the mean APACHE II score was 6.32±7.731. The c-indices for logistic EuroSCORE, ICNARC, and APACHE II were 0.801, 0.847 and 0.648, respectively.

CONCLUSION

The authors have, for the first time, validated the ICNARC score as a useful predictor of postoperative mortality in adult cardiac surgical patients. This could have implications for postoperative management, focusing the utilization of resources as well as a method to measure and compare performance in the cardiothoracic ICU.

Evaluation of prognostic scale Thrombolysis In Myocardial Infarction and Killip. An ST-elevation myocardial infarction new scale

BACKGROUND

Prognostic systems are complex. So it is necessary to find tools, which are easy to use and have good calibration and discrimination.

OBJECTIVES

The objective of this study is to evaluate the usefulness of Killip, Thrombolysis In Myocardial Infarction (TIMI), and age to develop a new prognostic scale for patients with ST-elevation myocardial infarction (STEMI).

METHODS

The study population included all patients with STEMI consecutively admitted to the Intensive Care Unit of Carlos Haya Hospital, Malaga, Spain. Top variables included are Killip and TIMI, hospital mortality, intensive care unit stay, treatment received, and care times intervals.

RESULTS

The results are 806 patients; 75.6% men; age 63.11 ± 12.83 years old; TIMI, 3.57 ± 2.38; Killip I, 81.4%; and hospital mortality, 11.3%. Mortality increased in relation to age, TIMI, and Killip (P < .001). Receiver operating characteristic (ROC) area for TIMI is 0.832 (0.786-0.878) and Killip, 0.757 (0.698-0.822). Thrombolysis In Myocardial Infarction classification was associated with Killip and age by multiple linear regression. Patients were stratified into 5 groups according to Killip and age: Killip I and younger than 65 years (n = 369; mortality, 1.4%; odds ratio [OR], 1), Killip I and 65 to 75 years old (n = 173; mortality, 6.9%; OR, 5.43 [1.88-15.66]), Killip I and older than 75 years (n = 112; mortality, 18.9%; OR, 13.03 [4.69-36.21]), Killip II to III (n = 129; mortality, 31%; OR, 22.72 [12.55-85.29]), Killip IV (n = 20; mortality, 80%; OR, 291.2 [71.32-1189]). ROC area is 0.84 (0.798-0.883). We created a scale with scores based on the β coefficient of logistical regression.

CONCLUSIONS

The TIMI scale discriminated hospital mortality correctly for STEMI. It performed better than Killip alone and similar to a simple model that included age and Killip. The 2-variable model consists of a simple scale with 5 categories.

The APACHE II measured on patients' discharge from the Intensive Care Unit in the prediction of mortality

OBJECTIVE

to analyze the performance of the Acute Physiology and Chronic Health Evaluation (APACHE II), measured based on the data from the last 24 hours of hospitalization in ICU, for patients transferred to the wards.

METHOD

an observational, prospective and quantitative study using the data from 355 patients admitted to the ICU between January and July 2010, who were transferred to the wards.

RESULTS

the discriminatory power of the AII-OUT prognostic index showed a statistically significant area beneath the ROC curve. The mortality observed in the sample was slightly greater than that predicted by the AII-OUT, with a Standardized Mortality Ratio of 1.12. In the calibration curve the linear regression analysis showed the R2 value to be statistically significant.

CONCLUSION

the AII-OUT could predict mortality after discharge from ICU, with the observed mortality being slightly greater than that predicted, which shows good discrimination and good calibration. This system was shown to be useful for stratifying the patients at greater risk of death after discharge from ICU. This fact deserves special attention from health professionals, particularly nurses, in managing human and technological resources for this group of patients.

SAPS 3, APACHE IV or GRACE: which score to choose for acute coronary syndrome patients in intensive care units?

CONTEXT AND OBJECTIVE Acute coronary syndromes (ACS) are a common cause of intensive care unit (ICU) admission. Specific prognostic scores have been developed and validated for ACS patients and, among them, GRACE (Global Registry of Acute Coronary Events) has had the best performance. However, intensive care clinicians generally use prognostic scores developed from heterogeneous populations of critically ill patients, such as APACHE IV (Acute Physiologic and Chronic Health Evaluation IV) and SAPS 3 (Simplified Acute Physiology Score 3). The aim of this study was to evaluate and compare the performance of these three scores in a non-selected population of ACS cases. DESIGN AND SETTING Retrospective observational study to evaluate three prognostic scores in a population of ACS patients admitted to three general ICUs in private hospitals in São Paulo. METHODS All patients with ACS admitted from July 2008 to December 2009 were considered for inclusion in the study. Score calibration and discrimination were evaluated in relation to predicting hospital mortality. RESULTS A total of 1065 patients were included. The calibration was appropriate for APACHE IV and GRACE but not for SAPS 3. The discrimination was very good for all scores (area under curve of 0.862 for GRACE, 0.860 for APACHE IV and 0.804 for SAPS 3). CONCLUSIONS In this population of ACS patients admitted to ICUs, GRACE and APACHE IV were adequately calibrated, but SAPS 3 was not. All three scores had very good discrimination. GRACE and APACHE IV may be used for predicting mortality risk among ACS patients.

Gender-related outcome difference is related to course of sepsis on mixed ICUs: a prospective, observational clinical study

INTRODUCTION

Impact of gender on severe infections is in highly controversial discussion with natural survival advantage of females described in animal studies but contradictory to those described human data. This study aims to describe the impact of gender on outcome in mixed intensive care units (ICUs) with a special focus on sepsis.

METHODS

We performed a prospective, observational, clinical trial at Charité University Hospital in Berlin, Germany. Over a period of 180 days, patients were screened, undergoing care in three mainly surgical ICUs. In total, 709 adults were included in the analysis, comprising the main population ([female] n = 309, [male] n = 400) including 327 as the sepsis subgroup ([female] n = 130, [male] n = 197).

RESULTS

Basic characteristics differed between genders in terms of age, lifestyle factors, comorbidities, and SOFA-score (Sequential Organ Failure Assessment). Quality and quantity of antibiotic therapy in means of antibiotic-free days, daily antibiotic use, daily costs of antibiotics, time to antibiotics, and guideline adherence did not differ between genders. ICU mortality was comparable in the main population ([female] 10.7% versus [male] 9.0%; P = 0.523), but differed significantly in sepsis patients with [female] 23.1% versus [male] 13.7% (P = 0.037). This was confirmed in multivariate regression analysis with OR = 1.966 (95% CI, 1.045 to 3.701; P = 0.036) for females compared with males.

CONCLUSIONS

No differences in patients' outcome were noted related to gender aspects in mainly surgical ICUs. However, for patients with sepsis, an increase of mortality is related to the female sex.