Association Between Out-of-Hour Admission and Short- and Long-Term Mortality in Acute Myocardial Infarction: A Systematic Review and Meta-Analysis

Association between weekend admission and in-hospital mortality for patients with ischemic heart disease upon surgery treatment

Background

The existence and reasons for the weekend effect in patients with ischemic heart disease (IHD) were not yet fully identified. This study aimed to evaluate whether weekend admission was independently associated with in-hospital mortality and the possible mechanisms associated with the IHD patients.

Methods

The study was a retrospective study, including IHD patients from 2015 to 2023. The International Classification of Diseases, tenth revision (ICD-10) codes were used to identify all admissions with a primary diagnosis of IHD. The sample was divided into weekday and weekend groups. We performed a multivariate logistic regression analysis and a mediation analysis to estimate the effect of weekend admission on hospital mortality.

Results

A total of 18,906 IHD patients were included in the study, with an average age of 63.8 ± 12.7. Of these patients, 21.7% (n = 4,102) were admitted over the weekend. The in-hospital 30-days mortality rate was significantly higher among the patients admitted at weekends compared with those admitted at weekdays (2.0% vs. 1.1%). Respectively, the 30-day mortality rate of patients admitted on weekends was higher compared to patients admitted on weekdays among patients with surgical treatment (2.34% vs. 1.06%, OR = 1.75; 95% CI: 1.23-2.42) and with emergency admission (3.48% vs. 2.59%, OR = 1.56; 95% CI: 1.05-2.28). Mediation analyses showed that the surgical scheduling had significant mediated effects on the associations of admission time with mortality risk.

Conclusions

IHD patients with a surgical therapy or admitted from emergency department had a significantly higher risk of mortality when admitted on weekends compared to weekdays. These findings have potential implications for resource allocation and redistribution of surgery to weekends in hospitals.

The association of off-hour vs. on-hour intensive care unit admission time with mortality in patients with cardiogenic shock: a retrospective multi-centre analysis

AIMS

Studies have shown a so-called off-hour effect for many different diseases, but data are scarce concerning cardiogenic shock. We therefore assessed the association of off-hour vs. on-hour intensive care unit admission with 30-day mortality in patients with cardiogenic shock.

METHODS AND RESULTS

In total, 1720 cardiogenic shock patients (666 admitted during off-hours) from two large university hospitals in Germany were included in retrospect. An admission during off-hours was associated with increased 30-day mortality compared to an admission during on-hours [crude mortality 48% vs. 41%, HR 1.17 (1.03-1.33), P = 0.017]. This effect remained significant after propensity score matching (P = 0.023). Neither patients with a combined SCAI stage D and E (P = 0.088) or C (P = 0.548) nor those requiring cardiopulmonary resuscitation (P = 0.114) had a higher mortality at off-hour admission. In contrast, those without veno-arterial extracorporeal membrane oxygenation [HR 1.17 (1.00-1.36), P = 0.049], without acute myocardial infarction [HR 1.27 (1.02-1.56), P = 0.029] or a with combined SCAI stage A and B [HR 2.23 (1.08-4.57), P = 0.025] had an increased mortality at off-hour admission.

CONCLUSION

Our study showed an increased mortality in patients with cardiogenic shock admitted during off-hours, especially in those with a milder onset of disease. This stresses the importance of a thorough workup of each patient, especially at times of limited resources, the menace of underestimating the severity of cardiogenic shock, and the need for an improved 24×7 available risk stratification.

Association between holiday and weekend admissions and mortality outcomes among patients with acute myocardial infarction receiving percutaneous coronary intervention in Taiwan

There is a lack of studies that concurrently differentiate the effect of the holiday season from the weekend effect on mortality risk in patients with acute myocardial infarction (AMI). We evaluated the mortality risk among patients admitted with AMI who underwent percutaneous coronary intervention, using data from the Taiwan National Health Insurance Research Database. Adult AMI patients admitted during January and February between 2013 and 2020 were enrolled and classified into the holiday season (using the Chinese New Year holiday seasons as an indicator) (n = 1729), weekend (n = 4725), and weekday (n = 14,583) groups according to the first day of admission. A multivariable logistic regression model was used to assess the risk. With the weekday group or the weekend group as the reference, the holiday season group did not have increased risks of in-hospital mortality (adjusted odds ratio [aOR] 1.15; 95% confidence intervals [CI] 0.93-1.42 or aOR 1.23; 95% CI 0.96-1.56) and 7-day mortality (aOR 1.20; 95% CI 0.90-1.58 or aOR 1.24; 95% CI 0.90-1.70). Stratified and subgroup analyses showed similar trends. We conclude that holiday season-initiated admissions were not associated with higher mortality risks in AMI admission cases than weekday or weekend admissions.

Analysis of the Weekend Effect on Mortality, Diagnostic Coronary Angiography, and Percutaneous Coronary Intervention in Acute Myocardial Infarction Across Rural US Hospitals

BACKGROUND

Rural hospitals face several unique challenges in delivering healthcare to an underserved population. Achieving time-sensitive goals in a resource-scarce facility is often a difficult task without the right team at hand. Resources are further depleted on the weekends, exposing understaffed hospitals to poorer outcomes. Acute myocardial infarction (AMI) mortality depends on timely diagnosis and intervention. It is unknown to what extent resource shortages impact rural hospitals during weekends and how they affect AMI mortality.

METHODS

This cross-sectional study was performed on patients admitted on weekends with AMI using the National Inpatient Sample (NIS) 2019. Patients with type II non-ST-elevation myocardial infarction (NSTEMI) and missing information were excluded. The rates and timing of in-hospital diagnostic coronary angiograms, PCIs (percutaneous coronary interventions), and in-hospital mortality were studied. Regression models were used for data analyses.

RESULTS

A total of 161,625 patients met the inclusion criteria (58,690 females (36%), 114,830 Caucasians (71%), 17,910 African American (11%), 13,920 Hispanic (8.6%); mean (SD) age, 66.5 (0.5) years), including 47,665 (29.5%) ST-elevation myocardial infarction (STEMI) and 113,960 (70.5%) NSTEMI. Patients admitted to rural hospitals were less likely to undergo diagnostic coronary angiogram (adjusted odds ratio (aOR), 0.69; CI, 0.57-0.83; p<0.001) and PCI (aOR, 0.83; CI, 0.72-0.96; p 0.012). Rural hospitals had lesser odds of early diagnostic angiograms (aOR, 0.79; CI, 0.67-0.95; p<0.05) and PCI (aOR, 0.78; CI, 0.66-0.92; p<0.05) within 24 hours. The mortality difference between rural and urban hospitals was not significant (aOR, 1.08; CI, 0.85-1.4; p 0.52).

CONCLUSIONS

Diagnostic coronary angiograms and PCI are performed at a lesser rate in rural hospitals during weekends. This trend did not affect rural AMI mortality.

Effect of Admission and Onset Time on the Prognosis of Patients With Cardiogenic Shock

BACKGROUND

The spectrum of patients with cardiogenic shock (CS) has changed significantly over time. CS has become especially more common in the absence of acute myocardial infarction (AMI), while this subset of patients was typically excluded from recent studies. Furthermore the prognostic impact of onset time and onset place due to CS has rarely been investigated.

RESEARCH QUESTION

Do the place of CS onset (out-of-hospital, ie, primary CS vs in-hospital, ie, secondary CS) and the onset time of out-of-hospital CS (ie, on-hours vs off-hours admission) affect the risk of all-cause mortality at 30 days?

STUDY DESIGN AND METHODS

This prospective monocentric registry included consecutive patients with CS of any cause from 2019 until 2021. First, the prognostic impact of the place of CS onset (out-of-hospital, ie, primary CS vs during hospitalization, ie, secondary CS) was investigated. Thereafter, the prognostic impact of the onset time of out-of-hospital CS was investigated. Furthermore, the prognostic impact of causative AMI vs non-AMI was investigated. Statistical analyses included Kaplan-Meier analyses, and univariable and multivariable Cox regression analyses.

RESULTS

Two hundred seventy-three patients with CS were included prospectively (64% with primary out-of-hospital CS). The place of CS onset was not associated with increased risk of all-cause mortality within the entire study cohort (secondary in-hospital CS: hazard ratio [HR], 1.532; 95% CI, 0.990-2.371; P = .06). However, increased risk of 30-day all-cause mortality was seen in patients with AMI related secondary in-hospital CS (HR, 2.087; 95% CI, 1.126-3.868; P = .02). Furthermore, primary out-of-hospital CS admitted during off-hours was associated with lower risk of all-cause mortality compared to primary CS admitted during on-hours (HR, 0.497; 95% CI, 0.302-0.817; P = .01), irrespective of the presence or absence of AMI.

INTERPRETATION

Primary and secondary CS were associated with comparable, whereas primary out-of-hospital CS admitted during off-hours was associated with lower risk of all-cause mortality at 30 days.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT05575856; URL: www.

CLINICALTRIALS

gov.

Impact of off-hour admission on the MACEs of patients with acute myocardial infarction

BACKGROUND

In China, on more than 100 weekends or holidays, only on-duty cardiologists are available during admissions. This study aimed to analyze the impact of admission time on major adverse cardiovascular events (MACEs) in patients with acute myocardial infarction (AMI).

METHODS

This prospective observational study enrolled patients with AMI between October 2018 and July 2019. The patients were assorted into off-hour (admitted on weekends or national holidays) and on-hour groups. The outcome was MACEs at admission and 1 year after discharge.

RESULTS

A total of 485 patients with AMI were enrolled in this study. The occurrence of MACEs was significantly higher in the off-hour group compared with the on-hour group (P < .05). Multivariate regression analysis showed that age (HR = 1.047, 95% CI: 1.021-1.073), blood glucose level (HR = 1.029, 95% CI: 1.009-1.050), multivessel disease (HR = 1.904, 95% CI: 1.074-3.375), and off-hour hospital admission (HR = 1.849, 95% CI: 1.125-3.039) were all independent risk factors for in-hospital MACEs, while percutaneous coronary intervention (HR = 0.210, 95% CI: 0.147-0.300) and on-hour admission (HR = 0.723, 95% CI: 0.532-0.984) were protective factors for MACEs 1 year after discharge.

CONCLUSION

The "off-hour effect" still existed in patients with AMI, and the risk of MACEs in the hospital and 1 year after discharge was higher for off-hour admission.

Effect of weekend admission on mortality risk in patients with sepsis and septic shock: A systematic review and meta-analysis

BACKGROUND

There is an ongoing debate if weekend admissions of critically ill patients are associated with higher mortality rates. The current review aimed to specifically assess this effect in sepsis and septic shock patients by comparing mortality rates with weekend versus weekday admissions.

METHODS

PubMed, CENTRAL, Scopus, Web of Science, and Embase were searched up to 20th February 2023 with an additional search of Google Scholar for gray literature.

RESULTS

Nine studies were eligible. Meta-analysis of all nine studies with data from 1,134,417 patients demonstrated that sepsis or septic shock patients admitted on weekends don't have higher mortality as compared to those admitted on weekdays (OR: 1.04; 95% CI: 1.00, 1.09; p = 0.05; I2 = 93%). On subgroup analysis based on sample size (>2000 or <2000 patients) and timing of mortality, we noted no difference in the significance of the results. However, there was a small significant increased risk of mortality with weekend admission noted in studies on the Asian population and including septic shock patients.

CONCLUSION

Weekend admission does not have an adverse impact on mortality rates of sepsis and septic shock patients. Results must be interpreted with caution owing to high interstudy heterogeneity and variation in confounders adjusted by individual studies.

Mortality and readmission differences associated with after-hours hospital admission: A population-based cohort study in Queensland Australia

Background and Aims

Policy makers and health system managers are seeking evidence on the risks involved for patients associated with after-hours care. This study of approximately 1 million patients who were admitted to the 25 largest public hospitals in Queensland Australia sought to quantify mortality and readmission differences associated with after-hours hospital admission.

Methods

Logistic regression was used to assess whether there were any differences in mortality and readmissions based on the time inpatients were admitted to hospital (after-hours versus within hours). Patient and staffing data, including the variation in physician and nursing staff numbers and seniority were included as explicit predictors within patient outcome models.

Results

After adjusting for case-mix confounding, statistically significant higher mortality was observed for patients admitted on weekends via the hospital's emergency department compared to within hours. This finding of elevated mortality risk after-hours held true in sensitivity analyses which explored broader definitions of after-hours care: an "Extended" definition comprising a weekend extending into Friday night and early Monday morning; and a "Twilight" definition comprising weekends and weeknights.There were no significant differences in 30-day readmissions for emergency or elective patients admitted after-hours. Increased mortality risks for elective patients was found to be an evening/weekend effect rather than a day-of-week effect. Workforce metrics that played a role in observed outcome differences within hours/after-hours were more a time of day rather than day of week effect, i.e. staffing impacts differ more between day and night than the weekday versus weekend.

Conclusion

Patients admitted after-hours have significantly higher mortality than patients admitted within hours. This study confirms an association between mortality differences and the time patients were admitted to hospital, and identifies characteristics of patients and staffing that affect those outcomes.

Assessment of In-Hospital Mortality and Its Risk Factors in Patients with Myocardial Infarction Considering the Logistical Aspects of the Treatment Process-A Single-Center, Retrospective, Observational Study

Technological progress, such as the launching of a new generation of drug-coated stents as well as new antiplatelet drugs, has resulted in the treatment of myocardial infarction (MI) becoming much more effective. The aim of this study was to assess in-hospital mortality and to conduct an assessment of risk factors relevant to the in-hospital death of patients with MI. This study was based on an observational hospital registry of patients with MI (ACS GRU registry). For the purpose of the statistical analysis of the risk factors of death, a univariate logistic regression model was applied. In-hospital general mortality amounted to 7.27%. A higher death risk was confirmed in the following cases: (1) serious adverse events (SAEs) that occurred during the procedure; (2) patients transferred from another department of a hospital (OR = 2.647, p = 0.0056); (3) primary percutaneous coronary angioplasty performed on weekdays between 10 p.m. and 8 a.m. (OR = 2.540, p = 0.0146). The influence of workload and operator experience on the risk of death in a patient with MI has not been confirmed. The results of this study indicate the increasing importance of new risk factors for in-hospital death in patients with MI, such as selected logistical aspects of the MI treatment process and individual SAEs.

Association of admission hyperglycemia and all-cause mortality in acute myocardial infarction with percutaneous coronary intervention: A dose–response meta-analysis

Objective

The aim of this study is to evaluate the associations between admission hyperglycemia and the risk of all-cause mortality in patients with acute myocardial infarction (AMI) with or without diabetes, to find optimal admission glucose intervention cut-offs, and to clarify the shape of the dose–response relations.

Methods

Medline/PubMed and EMBASE were searched from inception to 1 April 2022. Cohort studies reporting estimates of all-cause mortality risk in patients with admission hyperglycemia with AMI were included. The outcomes of interest include mortality and major adverse cardiac events (MACEs). A random effect dose–response meta-analysis was conducted to access linear trend estimations. A one-stage linear mixed effect meta-analysis was used for estimating dose–response curves. Relative risks and 95% confidence intervals were pooled using a random-effects model.

Results

Of 1,222 studies screened, 47 full texts were fully reviewed for eligibility. The final analyses consisted of 23 cohort studies with 47,177 participants. In short-term follow-up, admission hyperglycemia was associated with an increased risk of all-cause mortality (relative risk: 3.12, 95% confidence interval 2.42–4.02) and MACEs (2.34, 1.77–3.09). In long-term follow-up, admission hyperglycemia was associated with an increased risk of all-cause mortality (1.97, 1.61–2.41) and MACEs (1.95, 1.21–3.14). A linear dose–response association was found between admission hyperglycemia and the risk of all-cause mortality in patients with or without diabetes.

Conclusion

Admission hyperglycemia was significantly associated with higher all-cause mortality risk and rates of MACEs. However, the association between admission hyperglycemia and long-term mortality risk needs to be determined with caution. Compared with current guidelines recommendations, a lower intervention cut-off and more stringent targets for admission hyperglycemia may be appropriate.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022317280], identifier [CRD42022317280].

A Nomogram model for predicting the occurrence of no-reflow phenomenon after percutaneous coronary intervention using the lncRNA TUG1/miR-30e/NPPB biomarkers

Background

Studies have shown that percutaneous coronary intervention (PCI) is considered as the essential therapeutic strategy for the patients with ST-segment elevation myocardial infarction (STEMI). However; no-reflow could still occur in a few patients after PCI. Studies have reported that biomarkers related to no-reflow pathogenetic components could play a prognostic role in the prediction phenomenon. Hence, this study explored the establishment of nomogram model for predicting the occurrence of no-reflow phenomenon after PCI using the lncRNA TUG1/miR-30e/NPPB biomarkers in patients with STEMI after PCI.

Methods

In this observational study, a total of 76 STEMI patients who underwent emergency PCI between January 2018 and December 2021were included. The patients after PCI, were divided into reflow (n=44) and no-reflow groups (n=32). The demographic, environmental and clinical risk factors were assessed and analysed between the groups. Quantitative RT-PCR was used to detect TUG1, miR-30e, and NPPB messenger RNA (mRNA) expression levels in the plasma of patients after PCI. Bioinformatic methods were used to predict the interaction of the plasma TUG1/miR-30e/NPPB axis. The risk factors in the no-reflow group were screened using a logistic-regression analysis, and a nomogram prediction model was constructed and validated. Subsequently, a gene set enrichment analysis revealed the function of lncRNA TUG1.

Results

Plasma lncRNA TUG1 and NPPB were more highly expressed and miR-30e was more lowly expressed in the no-reflow group than the normal-reflow group (P<0.001). A negative correlation was observed between lncRNA TUG1 and miR-30e, and between miR-30e and NPPB. However, a positive correlation was observed between lncRNA TUG1 and NPPB mRNA. The bioinformatics analysis predicted multiple binding sites on the lncRNA TUG1 and miR-30e. LncRNA TUG1 [odds ratio (OR): 0.163, 95% confidence interval (CI): 0.021–0.944] and hs-CRP (OR: 2.151, 95% CI: 1.536–3.974) found to be as independent predictors. The C-index of this prediction model was 0.982 (95% CI: 0.956–1.000).

Conclusions

TUG1 could function as an effective biomarker for no-reflow among patients with STEMI after PCT and the proposed nomogram may provide information for individualized treatment in patients with STEMI.