Examining the weekend effect across ICU performance metrics

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study

BACKGROUND

Intensive care research has predominantly relied on conventional methods like randomized controlled trials. However, the increasing popularity of open-access, free databases in the past decade has opened new avenues for research, offering fresh insights. Leveraging machine learning (ML) techniques enables the analysis of trends in a vast number of studies.

OBJECTIVE

This study aims to conduct a comprehensive bibliometric analysis using ML to compare trends and research topics in traditional intensive care unit (ICU) studies and those done with open-access databases (OADs).

METHODS

We used ML for the analysis of publications in the Web of Science database in this study. Articles were categorized into "OAD" and "traditional intensive care" (TIC) studies. OAD studies were included in the Medical Information Mart for Intensive Care (MIMIC), eICU Collaborative Research Database (eICU-CRD), Amsterdam University Medical Centers Database (AmsterdamUMCdb), High Time Resolution ICU Dataset (HiRID), and Pediatric Intensive Care database. TIC studies included all other intensive care studies. Uniform manifold approximation and projection was used to visualize the corpus distribution. The BERTopic technique was used to generate 30 topic-unique identification numbers and to categorize topics into 22 topic families.

RESULTS

A total of 227,893 records were extracted. After exclusions, 145,426 articles were identified as TIC and 1301 articles as OAD studies. TIC studies experienced exponential growth over the last 2 decades, culminating in a peak of 16,378 articles in 2021, while OAD studies demonstrated a consistent upsurge since 2018. Sepsis, ventilation-related research, and pediatric intensive care were the most frequently discussed topics. TIC studies exhibited broader coverage than OAD studies, suggesting a more extensive research scope.

CONCLUSIONS

This study analyzed ICU research, providing valuable insights from a large number of publications. OAD studies complement TIC studies, focusing on predictive modeling, while TIC studies capture essential qualitative information. Integrating both approaches in a complementary manner is the future direction for ICU research. Additionally, natural language processing techniques offer a transformative alternative for literature review and bibliometric analysis.

Association of Hospital Mortality With Initiation of Mechanical Ventilation on a Weekend: A Retrospective Cohort Study

RATIONALE

Increased mortality in patients admitted to hospitals on weekends is a well-described phenomenon labeled the "weekend effect." Studies evaluating the weekend effect in intensive care units (ICUs) have arrived at conflicting results. Identifying a weekend effect for critically-ill patients may inform clinical care pathways and resource allocation.

OBJECTIVES

Determine the association of initiation of mechanical ventilation (MV) upon admission on a weekend versus weekday with hospital mortality.

METHODS

We conducted a retrospective cohort study of non-surgical adult patients using the California Patient Discharge Database from 2018 to 2019. We identified MV initiated on the day of admission and diagnoses using discharge billing codes. The primary exposure was admission and initiation of MV on a weekend versus weekday and the primary outcome was hospital mortality. Hierarchical logistic regression was used to determine the association between hospital mortality and MV initiation timing, adjusting for case-mix.

RESULTS

Among 90 288 admissions in 2018 and 2019 meeting inclusion criteria, 24 771 (27.5%) had MV initiated on weekends, while 65 517 (72.6%) had MV initiated on weekdays. Patient demographics and comorbidities were similar between groups. Chronic alcohol and substance use disorders, and acute intoxications and traumas were more prevalent among patients with MV initiated on weekends. No difference in hospital mortality was observed with initiation of MV on weekends versus weekdays (23.1% vs 22.8%, ARD = 0.3%, aOR = 1.02, 95% CI 0.98, 1.07).

CONCLUSIONS

Contrary to prior studies, no increased mortality was observed among newly admitted patients initiated on MV on weekends compared to weekdays. While weekend effects may exist in other settings, newly admitted patients likely have MV initiated in the emergency department or ICU, which tend to have more consistent staffing levels. Further research is needed to determine if care patterns in these units could be used as a model for units where weekend effects continue to impact outcomes.

Weekend effect on the incidence and outcomes of cardiac surgery associated - acute kidney injury

BACKGROUND

The effects of surgical day (workdays or weekends) on occurrence and outcome of cardiac surgery associated -acute kidney injury (CSA-AKI) remains unclear. This study aimed to compare the incidence and short-term outcomes of CSA-AKI in patients undergoing surgery on workdays and weekends.

MATERIALS AND METHODS

Patients who underwent cardiac surgery from July 2020 to December 2020 were retrospectively enrolled in this study. These patients were divided into a weekend group and workday group. The primary endpoint was the incidence of CSA-AKI. The secondary endpoints included renal function recovery and in-hospital mortality. The logistic regression model was used to explore the risk factors for CSA-AKI. Stratification analysis was performed to estimate the association between CSA-AKI and weekend surgery stratified by emergency surgery.

RESULTS

A total of 1974 patients undergoing cardiac surgery were enrolled. The incidence of CSA-AKI in the weekend group was significantly higher than that in the workday group (42.8% vs. 34.7%, P = 0.038). Further analysis of patients with CSA-AKI showed that there was no difference in renal function recovery between the workday AKI group and weekend AKI group. There was no difference in in-hospital mortality between the weekend group and workday group (3.6% vs. 2.4%, P = 0.327); however, the in-hospital mortality of the weekend AKI group was significantly higher than that of the workday AKI group (8.5% vs. 2.9%, P = 0.014). Weekend surgery and emergency surgery were independent risk factors for CSA-AKI. The multiplicative model showed an interaction between weekend surgery and emergency surgery; weekend surgery was related to an increased risk of AKI among patients undergoing emergency surgery [adjusted OR (95% CI): 1.96 (1.012-8.128)].

CONCLUSIONS

The incidence of CSA-AKI in patients undergoing cardiac surgery on weekends was significantly higher compared to that in patients undergoing cardiac surgery on workdays. Weekend surgery did not affect the in-hospital mortality of all patients but significantly increased the mortality of AKI patients. Weekend surgery and emergency surgery were independent risk factors for CSA-AKI. Weekend emergency surgery significantly increased the risk of CSA-AKI.

Weekend Admission Does Not Confer an Increased Risk of Mortality in Septic Shock

Purpose: To investigate the impact of weekend admission on mortality for patients with septic shock. Material and Methods: Retrospective cohort study of adults in the 2017 to 2018 National Inpatient Sample coded as R65.21 (severe sepsis with septic shock) within the first 3 diagnosis codes according to the 10th revision of the International Classification of Diseases. Measurements and Main Results: After exclusions, 100,584 records were analyzed (73,966 weekday and 26,618 weekend admissions). Severity-of-illness was estimated using the Charlson-Deyo comorbidity index. Using weighted logistic regression adjusted for factors identified on univariate analysis as potentially significant, we found no higher odds of death for weekday compared to weekend admissions (OR 1.00, 95% CI 0.99-1.02, P = .84). There was a temporal improvement in septic shock outcomes with 2018 admissions having lower odds of death (OR 0.97, 95% CI 0.96-0.98, P < .001). There was no evidence for interaction between weekend admission and individual years of admission (P = .17 and P = .05 for 2017 and 2018, respectively). However, weekend mortality did seem to vary by region in our interaction analysis with higher odds of death seen in the West (OR 1.08, 95% CI 1.05-1.11, P < .001). Conclusion: We found no evidence for higher mortality among patients admitted on weekends with septic shock.

Association of Sepsis Diagnosis at Daytime and on Weekdays with Compliance with the 3-Hour Sepsis Treatment Bundles. A Multicenter Cohort Study

Rationale: Compliance with sepsis bundles is associated with better outcomes, but information to support structural actions that might improve compliance is scarce. Few studies have evaluated bundle compliance in different time periods, with conflicting results.Objectives: To evaluate the association of sepsis identification during the daytime versus during the nighttime and on weekdays versus weekends with 3-hour sepsis treatment bundle compliance.Methods: This was an observational, multicenter study including patients with sepsis admitted between 2010 and 2017 to 10 hospitals in Brazil. Our exposures of interest were daytime (7:00 a.m.-6:59 p.m.) versus nighttime (7:00 p.m.-6:59 a.m.) and weekdays (Monday 7:00 a.m.-Friday 6:59 p.m.) versus weekends (Friday 7:00 p.m.-Monday 6:59 a.m.). Our primary outcome was full compliance with the 3-hour sepsis treatment bundles. We adjusted by potential confounding factors with multivariable logistic regression models.Results: Of 11,737 patients (8,733 sepsis and 3,004 septic shock), 3-hour bundle compliance was 79.1% and hospital mortality was 24.7%. The adjusted odds ratio (adjOR) for 3-hour full bundle compliance for patients diagnosed during the daytime versus during the nighttime was 1.35 (95% confidence interval [CI], 1.23-1.49; P < 0.001) and was more pronounced in the emergency department (adjOR, 1.55; 95% CI, 1.35-1.77; P < 0.001) than in nonemergency areas (adjOR, 1.19; 95% CI, 1.04-1.37; P = 0.014). Overall, there was no association between diagnosis on the weekends versus on weekdays and 3-hour full bundle compliance (adjOR, 1.08; 95% CI, 0.98-1.19; P = 0.115), although there was an association among those diagnosed in nonemergency areas (adjOR, 1.15; 95% CI, 1.00-1.32; P = 0.047). The lower compliance observed for sepsis diagnosed during the nighttime was more evident 2 years after implementation of the quality improvement initiative.Conclusions: Compliance with sepsis bundles was associated with the moment of sepsis diagnosis. The place of diagnosis and the time from campaign implementation were factors modifying this association. Our results support areas for better design of quality improvement initiatives to mitigate the influence of the period of sepsis diagnosis on treatment compliance.

A 'weekend effect' in operative emergency general surgery

BACKGROUND

Evidence of a "weekend effect" is limited in emergency general surgery (EGS). We hypothesized that there are increased rates of complications, death, and failure-to-rescue (FTR) in patients undergoing weekend EGS operations.

METHODS

National Inpatient Sample (NIS) data, January 2014-September 2015 were used. Operative EGS patients were identified by ICD-9 procedure code and timing to operation. Complications were defined by ICD-9 code. We performed survey-weighted multivariable regression analyses.

RESULTS

Of 438,110 EGS patients, 103,450 underwent weekend operation. There was no association between weekend operation and FTR (OR 1.17; 95%CI 0.95-1.45) or complications (OR 1.04; 95%CI 0.97-1.13). There was a weekend effect on mortality (OR 1.22; 95%CI 1.02-1.46) and an interactive effect between weekend operation and teaching status on complications (teaching OR 1.22; 95%CI 1.15-1.29; interaction OR 1.13; 95%CI 1.03-1.25).

CONCLUSIONS

There is evidence for a "weekend effect" on mortality, but not complications or FTR, in this cohort.