scholarly journals Role of HEART score in evaluating clinical outcomes among emergency department patients with different ethnicities

2021 ◽  
Vol 49 (4) ◽  
pp. 030006052110106
Author(s):  
Stefan H. Meyering ◽  
Chet D. Schrader ◽  
Darren Kumar ◽  
Yuan Zhou ◽  
Naomi Alanis ◽  
...  
Keyword(s):  
Emergency Department ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Classification Accuracy ◽  
Characteristic Curve ◽  
Hospital Readmissions ◽  
Day Hospital ◽  
Cardiac Events ◽  
Heart Score

Objective We aimed to examine the role of the HEART (history, EKG, age, risk factors, and troponin) score in the evaluation of six clinical outcomes among three groups of patients in the emergency department (ED). Methods We performed a retrospective observational study among three ED patient groups including White, Black, and Hispanic patients. ED providers used the HEART score to assess the need for patient hospital admission and for emergent cardiac imaging tests (CITs). HEART scores were measured using classification accuracy rates. Performance accuracies were measured in terms of HEART score in relation to four clinical outcomes (positive findings of CITs, ED returns, hospital readmissions, and 30-day major adverse cardiac events [MACE]). Results A high classification accuracy rate (87%) was found for use of the HEART score to determine hospital admission. HEART scores showed moderate accuracy (area under the receiver operating characteristic curve 0.66–0.78) in predicting results of emergent CITs, 30-day hospital readmissions, and 30-day MACE outcomes. Conclusions Providers adhered to use of the HEART score to determine hospital admission. The HEART score may be associated with emergent CIT findings, 30-day hospital readmissions, and 30-day MACE outcomes, with no differences among White, Black, and Hispanic patient populations.

scholarly journals Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Shao-Dan Feng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Characteristic Curve ◽  
Adverse Outcomes ◽  
Neutrophil To Lymphocyte Ratio ◽  
Predictive Values ◽  
Lymphocyte Ratio

Abstract Background Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources. Objective To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death). Methods We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment. Results During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P < 0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P < 0.001; death vs. survival: 7.19 vs. 2.25, P < 0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively. Conclusions The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.

scholarly journals The HEART score for early rule out of acute coronary syndromes in the emergency department: a systematic review and meta-analysis

2017 ◽  
Vol 7 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Patricia Van Den Berg ◽  
Richard Body
Keyword(s):  
Systematic Review ◽  
Emergency Department ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Low Risk ◽  
Major Adverse Cardiac Events ◽  
Current Evidence ◽  
Cardiac Events ◽  
Heart Score ◽  
Adverse Cardiac Events

Aims: The objective of this systematic review was to summarise the current evidence on the diagnostic accuracy of the HEART score for predicting major adverse cardiac events in patients presenting with undifferentiated chest pain to the emergency department. Methods and results: Two investigators independently searched Medline, Embase and Cochrane databases between 2008 and May 2016 identifying eligible studies providing diagnostic accuracy data on the HEART score for predicting major adverse cardiac events as the primary outcome. For the 12 studies meeting inclusion criteria, study characteristics and diagnostic accuracy measures were systematically extracted and study quality assessed using the QUADAS-2 tool. After quality assessment, nine studies including data from 11,217 patients were combined in the meta-analysis applying a generalised linear mixed model approach with random effects assumption (Stata 13.1). In total, 15.4% of patients (range 7.3–29.1%) developed major adverse cardiac events after a mean of 6 weeks’ follow-up. Among patients categorised as ‘low risk’ and suitable for early discharge (HEART score 0–3), the pooled incidence of ‘missed’ major adverse cardiac events was 1.6%. The pooled sensitivity and specificity of the HEART score for predicting major adverse cardiac events were 96.7% (95% confidence interval (CI) 94.0–98.2%) and 47.0% (95% CI 41.0–53.5%), respectively. Conclusions: Patients with a HEART score of 0–3 are at low risk of incident major adverse cardiac events. As 3.3% of patients with major adverse cardiac events are ‘missed’ by the HEART score, clinicians must ask whether this risk is acceptably low for clinical implementation.

Prevalence of Cognitive Impairment Among Elderly Patients Upon Hospital Admission Using Mini-Cog™ Assessments Performed by Advanced Pharmacy Practice Experience Students

2018 ◽  
Vol 33 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Nghi (Andy) Bui ◽  
Mobolaji Adeola ◽  
Rejena Azad ◽  
Joshua T. Swan ◽  
Kathryn S. Agarwal ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Hospital Admission ◽  
Patient Outcomes ◽  
Hospital Readmission ◽  
Hospital Readmissions ◽  
Pharmacy Practice ◽  
Pharmacy Students ◽  
Day Hospital ◽  
Practice Experience

Background: Older adults with cognitive impairment may have difficulty understanding and complying with medical or medication instructions provided during hospitalization which may adversely impact patient outcomes. Objective: To evaluate the prevalence of cognitive impairment among patients aged 65 years and older within 24 hours of hospital admission using Mini-Cog™ assessments performed by advanced pharmacy practice experience (APPE) students. Methods: Students on APPE rotations were trained to perform Mini-Cog™ assessments during routine medication education sessions from February 2017 to April 2017. The primary end point was the prevalence of cognitive impairment indicated by a Mini-Cog™ score of ≤3. Secondary end points were the average number of observed Mini-Cog™ practice assessments required for APPE students to meet competency requirements, caregiver identification, and 30-day hospital readmissions. Results: Twelve APPE students completed the training program after an average of 4.4 (standard deviation [SD] = 1.0) graded Mini-Cog™ assessments. Of the 1159 admissions screened, 273 were included in the analysis. The prevalence of cognitive impairment was 55% (n = 149, 95% confidence interval [CI]: 48%-61%). A caregiver was identified for 41% (n = 113, 95% CI: 35%-47%) of patients, and 79 patients had a caregiver present at bedside during the visit. Hospital readmission within 30 days of discharge was 15% (n = 41, 95% CI: 11%-20%). Conclusion: Cognitive impairment could substantially impair a patient’s ability to comprehend education provided during hospitalization. Pharmacy students can feasibly perform Mini-Cog™ assessments to evaluate cognitive function, thereby allowing them to tailor education content and involve caregivers when necessary.

scholarly journals The Contribution of Pharmacogenetic Drug Interactions to 90-Day Hospital Readmissions: Preliminary Results from a Real-World Healthcare System

2021 ◽  
Vol 11 (12) ◽  
pp. 1242
Author(s):  
Sean P. David ◽  
Lavisha Singh ◽  
Jaclyn Pruitt ◽  
Andrew Hensing ◽  
Peter Hulick ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Hospital Admission ◽  
Drug Interactions ◽  
Hospital Readmission ◽  
Hospital Readmissions ◽  
Day Hospital ◽  
Limited Data ◽  
Study Population ◽  
The Relationship ◽  
Univariate Analyses

Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines exist for many medications commonly prescribed prior to hospital discharge, yet there are limited data regarding the contribution of gene-x-drug interactions to hospital readmissions. The present study evaluated the relationship between prescription of CPIC medications prescribed within 30 days of hospital admission and 90-day hospital readmission from 2010 to 2020 in a study population (N = 10,104) who underwent sequencing with a 14-gene pharmacogenetic panel. The presence of at least one pharmacogenetic indicator for a medication prescribed within 30 days of hospital admission was considered a gene-x-drug interaction. Multivariable logistic regression analyzed the association between one or more gene-x-drug interactions with 90-day readmission. There were 2211/2354 (93.9%) admitted patients who were prescribed at least one CPIC medication. Univariate analyses indicated that the presence of at least one identified gene-x-drug interaction increased the risk of 90-day readmission by more than 40% (OR = 1.42, 95% confidence interval (CI) 1.09–1.84) (p = 0.01). A multivariable model adjusting for age, race, sex, employment status, body mass index, and medical conditions slightly attenuated the effect (OR = 1.32, 95% CI 1.02–1.73) (p = 0.04). Our results suggest that the presence of one or more CPIC gene-x-drug interactions increases the risk of 90-day hospital readmission, even after adjustment for demographic and clinical risk factors.

Performance of cardiac troponins within the HEART score in predicting major adverse cardiac events at the emergency department

2020 ◽  
Vol 38 (8) ◽  
pp. 1560-1567 ◽  
Author(s):  
Jack Wei Chieh Tan ◽  
Hong Jie Gabriel Tan ◽  
Anders Olof Sahlen ◽  
Khung Keong Yeo ◽  
Woon Loong Calvin Chin ◽  
...  
Keyword(s):  
Emergency Department ◽  
Major Adverse Cardiac Events ◽  
Cardiac Events ◽  
Heart Score ◽  
Adverse Cardiac Events ◽  
Cardiac Troponins

The impact of the coronary collateral circulation on outcomes in patients with acute coronary syndromes: results from the ACUITY trial

Heart ◽  
2013 ◽  
Vol 100 (8) ◽  
pp. 647-651 ◽  
Author(s):  
Pascal Meier ◽  
Alexandra J Lansky ◽  
Martin Fahy ◽  
Ke Xu ◽  
Harvey D White ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Collateral Circulation ◽  
Major Adverse Cardiac Events ◽  
Cardiac Events ◽  
Coronary Collateral Circulation ◽  
Coronary Syndrome ◽  
Coronary Collateral ◽  
Adverse Cardiac Events ◽  
The Impact

ObjectiveWe sought to assess the prognostic role of collaterals in a large population of patients presenting with an acute coronary syndrome (ACS).MethodsThe coronary collateral circulation was assessed by an independent angiographic core laboratory using the Rentrop Score in patients enrolled in the randomised Acute Catheterization and Urgent Intervention Triage Strategy trial.ResultsThe cohort comprised 5412 patients with moderate to high risk ACS. A total of 858 patients (16.0%) had visible collaterals while 4554 patients (84.0%) had no collaterals. After multivariable adjustment, there were no differences in clinical outcomes at 1 year between the groups, including major adverse cardiac events (MACE) (HR 0.94 (95% CI 0.76 to 1.16), p=0.55), mortality (HR 1.03 (0.65 to 1.62), p=0.91), myocardial infarction (MI) (HR 1.07 (0.83 to 1.38), p=0.60) and unplanned target vessel revascularisation (TVR) (HR 0.95 (0.71 to 1.28), p=0.75). Similarly, in the subgroup of patients undergoing percutaneous coronary intervention (PCI), the adjusted HR for major adverse cardiac events was 1.1 (0.76 to 1.61), p=0.595; 0.81 (0.10 to 6.44), p=0.999 for mortality; and 0.86 (0.54 to 1.35), p=0.564 for MI. The risk of unplanned TVR was increased (HR 2.74 (1.48 to 5.10), p=0.004).ConclusionsIn contrast to other studies, this large core laboratory-based analysis does not confirm a beneficial role of visible coronary collateral vessels on clinical outcomes in patients with ACS; the presence of collaterals was even associated with increased mortality in the unadjusted analysis. Collaterals were associated with a higher risk of TVR in patients undergoing PCI, a finding that may not have been fully corrected given confounders and clinical differences between the groups.Trial registrationClinicalTrials.gov Identifier: NCT00093158.

scholarly journals Role of ROX Index in the first assessment of COVID-19 patients in the Emergency Department

2020 ◽  
Author(s):  
Alice Gianstefani ◽  
Gabriele Farina ◽  
Veronica Salvatore ◽  
Francesca Alvau ◽  
Maria Laura Artesiani ◽  
...  
Keyword(s):  
Emergency Department ◽  
Hospital Admission ◽  
Healthcare Services ◽  
Clinical Findings ◽  
Clinical Severity ◽  
High Rate ◽  
Secondary Outcomes ◽  
Index Value ◽  
Suspected Diagnosis

Abstract Background: In Italy, since the first symptomatic cases of Coronavirus disease 2019 (COVID-19) appeared in late February 2020, 205.463 cases of Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) were reported as of April 30, causing an high rate of hospital admission through the Emergency Department (ED).Objectives: The aim of the study was to evaluate the accuracy of ROX index in predicting hospitalization and mortality in patients with suspected diagnosis of COVID-19 in the ED. Secondary outcomes were to assess the number of readmissions and the variations of ROX index between first and second admission.Methods: This is an observational prospective monocentric study, conducted in the ED of Policlinico Sant’Orsola-Malpighi in Bologna. We enrolled 1371 consecutive patients with suspected COVID-19 and ROX index was calculated in 554 patients. Patients were followed until hospital discharge or death. Results: ROX index value < 25.7 was associated with hospitalization (AUC=0.737, 95%CI 0.696–0.779, p<0.001). ROX index < 22.3 is statistically related with higher 30-days mortality (AUC= 0.764, 95%CI 0.708-0.820, p<0.001). 8 patients were discharged and returned in the ED within the following 7 days, their mean ROX index was 30.3 (6.2; range 21.9-39.4) at the first assessment and 24.6 (5.5; 14.5-29.5) at the second assessment, (p=0.012).Conclusion: ROX index, together with laboratory, imaging and clinical findings, can help discriminate patients suspected for COVID-19 requiring hospital admission, their clinical severity and their mortality risk. Furthermore, it can be useful to better manage these patients in territorial healthcare services, especially in the hypothesis of another pandemic.

scholarly journals Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study

2021 ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Shao-Dan Feng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Characteristic Curve ◽  
Adverse Outcomes ◽  
Neutrophil To Lymphocyte Ratio ◽  
Predictive Values ◽  
Lymphocyte Ratio

Abstract Background: Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources.Objective: To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death).Methods: We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment.Results: During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P <0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P <0.001; death vs. survival: 7.19 vs. 2.25, P <0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively.Conclusions: The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.

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