Mortality Associated with Night and Weekend Admissions to ICU with On-Site Intensivist Coverage: Results of a Nine-Year Cohort Study (2006-2014)

Prognostic impact of postoperative management by an intensive care unit intensivist after colonic perforation

PURPOSE

Postoperative management for colonic perforation is an important prognostic factor, but whether intensivists perform postoperative management varies between institutions.

METHODS

We investigated 291 patients with colonic perforation between 2018 and 2022. Patients were divided into those managed by an intensivists (ICU group; n = 40) and those not managed by an intensivists (non-ICU group; n = 251). We examined how management by intensivists affected prognosis using inverse probability weighting, and clarified which patients should consult an intensivists.

RESULTS

The ICU group showed a significantly higher shock index (1.15 vs. 0.75, p < 0.01), higher APACHE II score (16.0 vs. 10.0, p < 0.001), and more severe comorbidities (Charlson Comorbidity Index 5.0 vs. 1.0, p < 0.001) and general peritonitis (85% vs. 38%, p < 0.001). Adjusted risk differences were - 24% (-34% to -13%) for 6-month mortality rate. Six-month mortality was improved by ICU intensivist management in patients with general peritonitis (risk difference - 22.8; 95% confidence interval - 34 to -11); APACHE II score ≥20 (-0.79; -1.06 to -0.52); lactate ≥1.6 (-0.38; -0.57 to -0.29); shock index ≥1.0 (-40.01; -54.87 to -25.16); and catecholamine index ≥10 (-41.16; -58.13 to -24.19).

CONCLUSIONS

Intensivists were involved in treating patients in poor general condition, but prognosis was extremely good. Appropriate case consultation with intensivists is important.

Effect of Admission Day and Time on Patient Outcome: An Observational Study in Intensive Care Units of a Tertiary Care Hospital in India

Background

The current study aimed to assess any association between intensive care unit (ICU) and hospital outcomes with ICU admission timings of critically ill patients.

Methods

Retrospective observational single-center study involving all adult admissions. Each patient admission was categorized in "after-hours" (08:00 p.m.-07:59 a.m.), or "normal-hours" (08:00 a.m.-07:59 p.m.), "Weekday" (Monday-Saturday), or "Weekend" (Sunday), "Same day" (admission directly to ICU) or "other day admission" (admission to ICU after a hospital stay of ≥24 hours). Intensive care unit and hospital mortality, length of stay (LOS), and ICU readmission were assessed for any association with different admission timings.

Results

Among 3,029 patients, 54.2% (1,668) were male, with mean age 66.49 (SD ± 15.69) years, mean acute physiology and chronic health evaluation-IV (APACHE-IV) score 55.5 (SD ± 26.3). Around 86.1% of admission occurred during weekdays, 13.9% on weekends, 57.4% normal-hours, 42.6% after-hours, 66.3% same day and 33.7% other day admission. Intensive care unit and hospital mortality were 10.8 and 14.2% respectively. Neither ICU nor hospital mortality were significantly different among patients admitted normal vs after-hours (p = 0.32, 0.23), and weekdays vs weekends (p = 0.09, 0.93), nor was ICU LOS (p = 0.21, 0.74). Intensive care unit and hospital mortality (p = 0.001), DORB (p = 0.001), hospital LOS (p = 0.001), and readmission to ICU (p = 0.001) were significantly higher in the other day admission group compared to same-day admission. In a multivariate regression analysis age, APACHE IV score along with other day admission to ICU did have a significant effect on both ICU and hospital mortality.

Conclusion

Intensive care unit and hospital mortality and LOS did not differ significantly with hours or days of ICU admission though they were significantly higher in other day admission groups.

How to cite this article

Bhattacharyya M, Todi SK. Effect of Admission Day and Time on Patient Outcome: An Observational Study in Intensive Care Units of a Tertiary Care Hospital in India. Indian J Crit Care Med 2024;28(5):436-441.

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.

Factors Affecting the Mortality Rate in Non-COVID-19 Intensive Care Unit Patients During the COVID-19 Pandemic in Cyprus: A Retrospective Cohort Study

INTRODUCTION

Mortality statistics constitute a pivotal element in informing public health policymaking in critical care settings. Mortality rates exhibit temporal variability, and their quantification is susceptible to well-established biases that have been exacerbated in the backdrop of the COVID-19 pandemic. A multitude of factors contribute to the process of patients' outcomes within the intensive care unit (ICU) setting. The primary aim of this study is to compare the mortality rate observed during the initial and subsequent phases of the COVID-19 pandemic in non-COVID-19 patient cohorts. Secondary objectives encompass evaluating the demographic and clinical factors and admission times to the ICU as an independent predictor affecting mortality.

METHODS AND MATERIALS

 A retrospective investigation of the data gathered from 1127 non-COVID-19 patients admitted to an ICU situated in Nicosia, Cyprus between March 2020 and December 2022 was performed. We divided the study period into two distinct timeframes. The first period spanned from the onset of the COVID-19 pandemic up until January 2021, coinciding with the relaxation of COVID-related restrictions. The second period was defined as the period when restrictions were not applied. The time of admission to the ICU is categorized as either off-hours or business hours. We recorded various patient characteristics, including age, gender, Acute Physiology and Chronic Health Evaluation II (APACHE II), Glasgow Coma Scale (GCS), Sequential Organ Failure Assessment (SOFA) scores, hospitalization duration, discharge details, mortality events with precise timestamps and primary diagnosis for admission. Multivariate logistic regression analysis was performed with these characteristics to predict the likelihood of mortality.

RESULTS

 This study included 632 males (56.1%) and 495 females (43.9%). Within the patient cohort, 653 patients (57.9%) were discharged from the ICU, while 474 patients (42.1%) experienced mortality during their ICU stay. No significant correlation was found whether patients were admitted to ICU during the first or second period of the COVID-19 pandemic. There was a significant difference in the comparison of outcomes within the ICU between the off-hours and business hours (p=0.001). A total of 329 of 618 (53.2%) patients admitted in off-hours and 145 of 509 (28.4%) patients admitted in business hours died. Moreover, the mean GCS, APACHE II and SOFA scores were higher in patients admitted during off-hours. APACHE II score (OR: 1.11, 95% CI: 1.06 to 1.15, p<0.01), SOFA (OR: 1.21, 95% CI: 1.10 to 1.31, p<0.01) and GCS (OR: 0.88, 95% CI: 0.84 to 0.92, p<0.01) scores and admission to the ICU in off-hours 2.63 (1.91-3.67) were significantly associated with mortality.

CONCLUSION

 The results of this retrospective cohort analysis have shown that the mortality rate was higher in non-COVID-19 patients admitted to ICU during off-hours compared to those admitted during business hours. However, no significant difference was found in the mortality rate between the admissions during the first and second periods of the COVID-19 pandemic.

An analysis of referrals to a level 3 intensive care unit in a resource-limited setting in South Africa

Background

With a shortage of intensive care unit (ICU) beds and rising healthcare costs in resource-limited settings, clinicians need to appropriately triage admissions into ICU to avoid wasteful expenditure and unnecessary bed utilisation.

Objectives

To assess the nature, appropriateness and outcome of referrals to a tertiary centre ICU.

Methods

A retrospective review of ICU consults from September 2016 to February 2017 at King Edward VIII Hospital was performed. The study was approved by the University of KwaZulu-Natal Biomedical Research Ethics Committee (BE291/17). Data pertaining to patients' demographics, referring doctor, diagnosis, comorbidities as well as biochemical and haemodynamic parameters were extracted. This information was then cross-referenced to the outcome of the ICU consultation. Data were descriptively analysed.

Results

Five hundred consultations were reviewed over a 6-month period; 52.2% of patients were male and the mean age was 44 years. Junior medical officers referred 164 (32.8%) of the consultations. Although specialist supervision was available in 459 cases, it was only utilised in 339 (73.9%) of these cases. Most referrals were from tertiary (46.8%) or regional (30.4%) hospitals; however, direct referrals from district hospitals and clinics accounted for 20.4% and 1.4% of consultations, respectively. The appropriate referral pathway was not followed in 81 (16.2%) consultations. Forty-five percent of consults were accepted; however, 9.3% of these patients died before arrival in ICU. A total of 151 (30.2%) patients were refused ICU admission, with the majority (57%) of these owing to futility. Patients were unstable at the time of consult in 53.2% of referrals and 34.4% of consults had missing data.

Conclusion

Critically ill patients are often referred by junior doctors without senior consultation, and directly from low-level healthcare facilities. A large proportion of ICU referrals are deemed futile and, of the patients accepted for admission, almost 1 in 10 dies prior to ICU admission. More emphasis needs to be placed on the training of doctors to appropriately triage and manage critically ill patients and ensure appropriate ICU referral and optimising of patient outcomes.

Contributions of the study

There is a paucity of information related to ICU referrals in South Africa. The nature, appropriateness and outcomes of referrals to a tertiary ICU is discussed in this study.

Variation of Liver Transplant Practice and Outcomes During Public Holidays in the United States: Analysis of United Network for Organ Sharing Registry

It has been reported that patients hospitalized outside regular working hours have worse outcomes. This study aims to compare outcomes following liver transplantation (LT) performed during public holidays and nonholidays.

The clinical characteristics and the risk factors for mortality in Non-COVID-19 critical patients in a pandemic hospital in Turkey: a retrospective cross-sectional study

Background

Coronavirus disease 2019 (COVID-19) disrupted standard health policies and routine medical care, and thus, the management and treatment pathways of many clinical conditions have changed as never before. The negative impact of the pandemic rendered the systemic disease more complicated and accelerated mortality. For the last two years, clinicians have primarily focused on COVID-19 patients; however, the non-COVID-19 critically ill patients needed to be addressed from multiple perspectives. This study investigated the demographic and clinical characteristics of non-COVID-19 critical care patients admitted concurrently with a COVID-19 wave. The objective of this study was to identify the risk factors for mortality in critically ill non-COVID-19 patients.

Methods

All consecutive cases admitted to the intensive care unit (ICU) were included in the study between January 1, 2021 and July 14, 2021. All data, including age, gender, admission characteristics, patient dependency, pre-existing systemic diseases, the severity of illness (Acute Physiology and Chronic Health Evaluation -APACHE-II), predicted death rate in ICU, life-sustaining medical procedures on admission or during ICU stay, length of stay, and admission time to the ICU, were obtained from the hospital's electronic database. The Charlson Comorbidity Index (CCI) was assessed for all patients.

Results

A total of 192 patients were screened during the study period. Mortality was significantly increased in non-surgical patients, previously dependent patients, patients requiring mechanical ventilation, continuous renal replacement therapy, and patients requiring the infusion of vasoactive medications. The number of pre-existing diseases and the admission time had no impact on mortality. The mean CCI was significantly higher in non-survivors but was not a strong predictor of mortality as APACHE II.

Conclusions

In this retrospective study, the severity of illness and the need for vasoactive agent infusion were significantly higher in non-survivors confirmed by multivariate analysis as predictive factors for mortality in critical non-COVID-19 patients.

Examination of Impact of After-Hours Admissions on Hospital Resource Use, Patient Outcomes, and Costs

Background. Nighttime and weekends in hospital and intensive care unit (ICU) contexts are thought to present a greater risk for adverse events than daytime admissions. Although some studies exist comparing admission time with patient outcomes, the results are contradictory. No studies currently exist comparing costs with the time of admission. We investigated the differences in-hospital mortality, ICU length of stay, ICU mortality, and cost between daytime and nighttime admissions. Methods. All adult patients (≥18 years of age) admitted to a large academic medical-surgical ICU between 2011 and 2015 were included. Admission cohorts were defined as daytime (8:00–16:59) or nighttime (17:00–07:59). Student’s t-tests and chi-squared tests were used to test for associations between days spent in the ICU, days on mechanical ventilation, comorbidities, diagnoses, and cohort membership. Regression analysis was used to test for associations between patient and hospitalization characteristics and in-hospital mortality and total ICU costs. Results. The majority of admissions occurred during nighttime hours (69.5%) with no difference in the overall Elixhauser comorbidity score between groups ( $p=0.22$ ). Overall ICU length of stay was 7.96 days for daytime admissions compared to 7.07 days ( $p=0.001$ ) for patients admitted during nighttime hours. Overall mortality was significantly higher in daytime admissions (22.5% vs 20.6, $p=0.012$ ); however, ICU mortality was not different. The average MODS was 2.9 with those admitted during the daytime having a significantly higher MODS (3.0, $p=0.046$ ). Total ICU cost was significantly higher for daytime admissions ( $p=0.003$ ). Adjusted ICU mortality was similar in both groups despite an increased rate of adverse events for nighttime admissions. Daytime admissions were associated with increased cost. There was no difference in all hospital total cost or all hospital direct cost between groups. These findings are likely due to the higher severity of illness in daytime admissions. Conclusion. Daytime admissions were associated with a higher severity of illness, mortality rate, and ICU cost. To further account for the effect of staffing differences during off-hours, it may be beneficial to compare weekday and weeknight admission times with associated mortality rates.

Impact of COVID-19 Pandemic on In-Hospital Mortality in Patients Without SARS-CoV-2 Infection in an Internal Medicine Ward of a Tertiary Care Hospital in Portugal

INTRODUCTION

Despite the emergence of a new worldwide cause of death related to COVID-19, several studies have hypothesized that the international mortality rate attributed to non-COVID-19 causes was significantly higher during the COVID pandemic, questioning whether this excess in mortality is related only to COVID-19 or to the difficulties that the healthcare systems faced during the pandemic. Therefore, understanding the impact of the COVID-19 pandemic on the prognosis of patients without severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a major unmet need as this was overshadowed by the overwhelming number of patients with SARS-CoV-2.

METHODS

This is a retrospective, cross-sectional, observational study in the internal medicine non-COVID-19 wards of a tertiary care hospital in Portugal. A total of 2021 patients without SARS-CoV-2 infection admitted between March and May of 2019 and 2020 were included. For each patient, we collected information regarding demographic characteristics, emergency department admission information, hospitalization information, date of discharge or death, health comorbidities, and current medication.

RESULTS

Data from 1013 patients in 2019 and 1008 patients in 2020 was analyzed. The patients' demographic characteristics, health comorbidities, and current medications were distributed in similar patterns in the two studied periods. There was a statistically significant difference in the in-hospital mortality in patients without SARS-CoV-2 infection between 2019 and 2020 (12% vs 17%, p-value < 0.001) and in admission severity in hospitalized patients without SARS-CoV-2 infection between 2019 and 2020 (0.9 vs 0.6, p-value < 0.001).

CONCLUSION

Our work showed a statistically significant increase in in-hospital mortality during the COVID-19 pandemic in patients without SARS-CoV-2 infection, which was not apparently explained by differences in the characteristics of hospitalized patients. As this is one of the first works describing the silent impact of the COVID-19 pandemic in Portugal, we believe it holds an important value in the provision of bases for building up future health policies in case of new COVID-19 outbreaks or other medical emergencies.

Association between ICU admission during off-hours and in-hospital mortality: a multicenter registry in Japan

BACKGROUND

The effect of ICU admission time on patient outcomes has been shown to be controversial in several studies from a number of countries. The imbalance between ICU staffing and medical resources during off-hours possibly influences the outcome for critically ill or injured patients. Here, we aimed to evaluate the association between ICU admission during off-hours and in-hospital mortality in Japan.

METHODS

This study was an observational study using a multicenter registry (Japanese Intensive care PAtient Database). From the registry, we enrolled adult patients admitted to ICUs from April 2015 to March 2019. Patients with elective surgery, readmission to ICUs, or ICU admissions only for medical procedures were excluded. We compared in-hospital mortalities between ICU patients admitted during off-hours and office-hours, using a multilevel logistic regression model which allows for the random effect of each hospital.

RESULTS

A total of 28,200 patients were enrolled with a median age of 71 years (interquartile range [IQR], 59 to 80). The median APACHE II score was 18 (IQR, 13 to 24) with no significant difference between patients admitted during off-hours and those admitted during office-hours. The in-hospital mortality was 3399/20,403 (16.7%) when admitted during off-hours and 1604/7797 (20.6%) when admitted during office-hours. Thus, off-hours ICU admission was associated with lower in-hospital mortality (adjusted odds ratio 0.91, [95% confidence interval, 0.84-0.99]).

CONCLUSIONS

ICU admissions during off-hours were associated with lower in-hospital mortality in Japan. These results were against our expectations and raised some concerns for a possible imbalance between ICU staffing and workload during office-hours. Further studies with a sufficient dataset required for comparing with other countries are warranted in the future.

Outcomes Associated with ICU Telemedicine and Other Risk Factors in a Multi-Hospital Critical Care System: A Retrospective, Cohort Study for 30-Day In-Hospital Mortality

Introduction: Intensive care unit telemedicine (ICU-TM) is expanding due to increasing demands for critical care, but impact on outcomes remains controversial. This study evaluated the association of ICU-TM and other clinical factors with 30-day, in-hospital mortality. Methods: This retrospective, cohort study included 151,780 consecutive ICU patients admitted to nine hospitals in the Cleveland Clinic Health System from 2010 to 2020. Patients were identified from an institutional datamart and Acute Physiology and Chronic Health Evaluation IV (APACHE IV) registry. Primary outcome was 30-day in-hospital mortality. Analyses included multivariate logistic regression modeling, and survival analysis. Results: Overall, unadjusted 30-day, in-hospital mortality incidence was significantly different with (5.6%) or without ICU-TM (7.2%), and risk ratio was 0.78 (95% confidence interval [CI] 0.75-0.81) (p < 0.0001). Mortality rate for ICU-TM and no ICU-TM was 2.4/1,000 versus 3.2/1,000 patient days, respectively (p < 0.0001). Multivariate logistic regression showed that ICU-TM was associated with reduced 30-day mortality (odds ratio 0.78, 95% CI 0.72-0.83). Increased risk was seen with cardiac arrest admissions, males, acute stroke, weekend admission, emergency admission, race (non-white), sepsis, APACHE IV score, ICU length of stay (LOS), and the interaction term, emergency surgical admissions. Reduced risk was associated with hospital LOS, surgical admission, and the interaction terms (weekend admissions with ICU-TM and after-hour admissions with ICU-TM). The model c-statistic was 0.77. Median ICU and hospital lengths of stay were significantly reduced with ICU-TM, with no difference in 48-h mortality or 48-h mortality rate. Conclusion: ICU telemedicine exposure appears to be one of several operational and clinical factors associated with reduced 30-day, in-hospital mortality.

Between-centre differences in care for in-hospital cardiac arrest: a prospective cohort study

BACKGROUND

Survival after in-hospital cardiac arrest is poor, but current literature shows substantial heterogeneity in reported survival rates. This study aims to evaluate care for patients suffering in-hospital cardiac arrest (IHCA) in the Netherlands by assessing between-hospital heterogeneity in outcomes and to explain this heterogeneity stemming from differences in case-mix or differences in quality of care.

METHODS

A prospective multicentre study was conducted comprising 14 centres. All IHCA patients were included. The adjusted variation in structure and process indicators of quality of care and outcomes (in-hospital mortality and cerebral performance category [CPC] scale) was assessed with mixed effects regression with centre as random intercept. Variation was quantified using the median odds ratio (MOR), representing the expected odds ratio for poor outcome between two randomly picked centres.

RESULTS

After excluding centres with less than 10 inclusions (2 centres), 701 patients were included of whom, 218 (32%) survived to hospital discharge. The unadjusted and case-mix adjusted MOR for mortality was 1.19 and 1.05, respectively. The unadjusted and adjusted MOR for CPC score was 1.24 and 1.19, respectively. In hospitals where personnel received cardiopulmonary resuscitation (CPR) training twice per year, 183 (64.7%) versus 290 (71.4%) patients died or were in a vegetative state, and 59 (20.8%) versus 68 (16.7%) patients showed full recovery (p < 0.001).

CONCLUSION

In the Netherlands, survival after IHCA is relatively high and between-centre differences in outcomes are small. The existing differences in survival are mainly attributable to differences in case-mix. Variation in neurological outcome is less attributable to case-mix.

Outcome of cancer patients considered for intensive care unit admission in two university hospitals in the Netherlands: the danger of delayed ICU admissions and off-hour triage decisions

Background

Very few studies assessed the association between Intensive Care Unit (ICU) triage decisions and mortality. The aim of this study was to assess whether an association could be found between 30-day mortality, and ICU admission consultation conditions and triage decisions.

Methods

We conducted a retrospective cohort study in two large referral university hospitals in the Netherlands. We identified all adult cancer patients for whom ICU admission was requested from 2016 to 2019. Via a multivariable logistic regression analysis, we assessed the association between 30-day mortality, and ICU admission consultation conditions and triage decisions.

Results

Of the 780 cancer patients for whom ICU admission was requested, 332 patients (42.6%) were considered ‘too well to benefit’ from ICU admission, 382 (49%) patients were immediately admitted to the ICU and 66 patients (8.4%) were considered ‘too sick to benefit’ according to the consulting intensivist(s). The 30-day mortality in these subgroups was 30.1%, 36.9% and 81.8%, respectively. In the patient group considered ‘too well to benefit’, 258 patients were never admitted to the ICU and 74 patients (9.5% of the overall study population, 22.3% of the patients ‘too well to benefit’) were admitted to the ICU after a second ICU admission request (delayed ICU admission). Thirty-day mortality in these groups was 25.6% and 45.9%. After adjustment for confounders, ICU consultations during off-hours (OR 1.61, 95% CI 1.09–2.38, p-value 0.02) and delayed ICU admission (OR 1.83, 95% CI 1.00–3.33, p-value 0.048 compared to “ICU admission”) were independently associated with 30-day mortality.

Conclusion

The ICU denial rate in our study was high (51%). Sixty percent of the ICU triage decisions in cancer patients were made during off-hours, and 22.3% of the patients initially considered “too well to benefit” from ICU admission were subsequently admitted to the ICU. Both decisions during off-hours and a delayed ICU admission were associated with an increased risk of death at 30 days. Our study suggests that in cancer patients, ICU triage decisions should be discussed during on-hours, and ICU admission policy should be broadened, with a lower admission threshold for critically ill cancer patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-021-00898-2.

Does admission time matter in a paediatric intensive care unit? A prospective cohort study

AIM

Studies assessing the association between admission time to paediatric intensive care unit (PICU) and mortality are sparse with conflicting results. We aimed to evaluate the impact of time of admission on PICU mortality within 48 h after admission.

METHODS

This was a single-centre prospective cohort. We collected data from all consecutive children aged 1 month to 16 years over 10 years.

RESULTS

We included a total of 1368 admissions, with a PICU mortality of 6.6%. Compared with daytime admissions, the overall mortality rate (5.3% vs. 8.5%, P = 0.026) and the mortality within 48 h after admission were higher for those admitted during night-time (2% vs. 4.2%, P = 0.021). There were no differences between mortality rates and the day of admission (weekend admissions vs. weekday admissions). The adjusted odds of death within 48 h after admission was 2.5 (95% confidence interval = 1.22-5.24, P = 0.012) for patients admitted at night-time. A secondary analysis assessing trends in mortality rates during admission showed that the last 5 years of study were more responsible for the chances of death within 48 h (odds ratio = 7.6, 95% confidence interval = 1.91-30.17, P = 0.0039).

CONCLUSION

Admission to the PICU during night shifts was strongly associated with death compared to daytime admissions. A time analysis of the moment of admission is necessary as a metric of quality of care to identify the interruption or improvement in the continuity of care. Further studies are needed to assess the modified contributing factors.

Weekend admission and mortality among patients with sepsis: A nationwide cohort study in South Korea

BACKGROUND

This study aimed to investigate whether weekend admission was associated with a higher risk of 90-day mortality in patients with sepsis.

METHODS

This population-based cohort study was based on health records from the National Health Insurance Service database in South Korea. All adult patients (age ≥ 18 years) admitted for sepsis (A40, A41) or septic shock (R65.2) as diagnosed according to the International Classification of Diseases, 10th revision codes, during 2010-2018 were screened. Weekend admission was defined as admission for sepsis on weekends.

RESULTS

In all, 251 837 patients were enrolled, of which 43 327 (17.2%) were in the weekend admission group and 208 510 (82.8%) in the weekday admission group. After propensity score matching, 86 654 patients with sepsis (43 327 patients with sepsis in each group) were included in the analysis. The 90-day mortality rates in the weekend admission and weekday admission groups were 44.3% (19 204/43 327) and 41.9% (18 157/43 327), respectively. On Cox regression analysis, the risk of 90-day mortality in the weekend admission group was 1.09-times higher than that in the weekday admission group (hazard ratio: 1.09, 95% confidence interval: 1.07-1.12; P < .001).

CONCLUSION

Using the national health claims database in South Korea, we showed that weekend admission for diagnosed sepsis was associated with an increased risk of 90-day mortality, compared to that for weekday admission. This might be due to the higher severity of illness in patients with sepsis admitted during the weekend or relatively lesser hospital staff during the weekend.

Temporal variations in quality of acute stroke care and outcomes in London hyperacute stroke units: a mixed-methods study

Background

Seven-day working in hospitals is a current priority of international health research and policy. Previous research has shown variability in delivering evidence-based clinical interventions across different times of the day and week. We aimed to identify factors influencing such variations in London hyperacute stroke units.

Objectives

To investigate variations in quality of acute stroke care and outcomes by day and time of admission in London hyperacute stroke units, and to identify factors influencing such variations.

Design

This was a prospective cohort study using anonymised patient-level data from the Sentinel Stroke National Audit Programme. Factors influencing variations in care and outcomes were studied through interview and observation data.

Setting

The setting was acute stroke services in London hyperacute stroke units.

Participants

A total of 7094 patients with a primary diagnosis of stroke took part. We interviewed hyperacute stroke unit staff (n = 76), including doctors, nurses, therapists and administrators, and 31 patients and carers. We also conducted non-participant observations of delivery of care at different times of the day and week (n = 45, ≈102 hours).

Intervention

Hub-and-spoke model for care of suspected acute stroke patients in London with performance standards was designed to deliver uniform access to high-quality hyperacute stroke unit care across the week.

Main outcome measures

Indicators of quality of acute stroke care, mortality at 3 days after admission, disability at the end of the inpatient spell and length of stay.

Data sources

Sentinel Stroke National Audit Programme data for all patients in London hyperacute stroke units with a primary diagnosis of stroke between 1 January and 31 December 2014, and nurse staffing data for all eight London hyperacute stroke units for the same period.

Results

We found no variation in quality of care by day and time of admission across the week in terms of stroke nursing assessment, brain scanning and thrombolysis in London hyperacute stroke units, nor in 3-day mortality nor disability at hospital discharge. Other quality-of-care measures significantly varied by day and time of admission. Quality of care was better if the nurse in charge was at a higher band and/or there were more nurses on duty. Staff deliver ‘front-door’ interventions consistently by taking on additional responsibilities out of hours, creating continuities between day and night, building trusting relationships and prioritising ‘front-door’ interventions.

Limitations

We were unable to measure long-term outcomes as our request to the Sentinel Stroke National Audit Programme, the Healthcare Quality Improvement Partnership and NHS Digital for Sentinel Stroke National Audit Programme data linked with patient mortality status was not fulfilled.

Conclusions

Organisational factors influence 24 hours a day, 7 days a week (24/7), provision of stroke care, creating temporal patterns of provision reflected in patient outcomes, including mortality, length of stay and functional independence.

Future work

Further research would help to explore 24/7 stroke systems in other contexts. We need a clearer understanding of variations by looking at absolute time intervals, rather than achievement of targets. Research is needed with longer-term mortality and modified Rankin Scale data, and a more meaningful range of outcomes.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 34. See the NIHR Journals Library website for further project information.

Time of Pediatric Intensive Care Unit Admission and Mortality: A Systematic Review and Meta-Analysis

The aim of this study was to determine the association between the time of admission (day, night, and/or weekends) and mortality among critically ill children admitted to a pediatric intensive care unit (PICU). Electronic databases that were searched include PubMed, Embase, Web of Science, CINAHL (Cumulative Index of Nursing and Allied Health Literature), Ovid, and Cochrane Library since inception till June 15, 2018. The article included observational studies reporting inhospital mortality and the time of admission to PICU limited to patients aged younger than 18 years. Meta-analysis was performed by a frequentist approach with both fixed and random effect models. The GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach was used to evaluate the quality of evidence. Ten studies met our inclusion criteria. Five studies comparing weekday with weekend admissions showed better odds of survival on weekdays (odds ratio [OR]: 0.77; 95% confidence interval [CI]: 0.60-0.99). Pooled data of four studies showed that odds of mortality were similar between day and night admissions (OR: 0.93; 95% CI: 0.77-1.13). Similarly, three studies comparing admission during off-hours versus regular hours did not show better odds of survival during regular hours (OR: 0.77; 95% CI: 0.57-1.05). Heterogeneity was significant due to variable sample sizes and time period. Inconsistency in adjusting for confounders across the included studies precluded us from analyzing the adjusted risk of mortality. Weekday admissions to PICU were associated with lesser odds of mortality. No significant differences in the odds of mortality were found between admissions during day versus night or between admission during regular hours and that during off-hours. However, the evidence is of low quality and requires larger prospective studies.

Variation in quality of acute stroke care by day and time of admission: prospective cohort study of weekday and weekend centralised hyperacute stroke unit care and non-centralised services

OBJECTIVE

To investigate variations in quality of acute stroke care and outcomes by day and time of admission in London hyperacute stroke units compared with the rest of England.

DESIGN

Prospective cohort study using anonymised patient-level data from the Sentinel Stroke National Audit Programme.

SETTING

Acute stroke services in London hyperacute stroke units and the rest of England.

PARTICIPANTS

68 239 patients with a primary diagnosis of stroke admitted between January and December 2014.

INTERVENTIONS

Hub-and-spoke model for care of suspected acute stroke patients in London with performance standards designed to deliver uniform access to high-quality hyperacute stroke unit care across the week.

MAIN OUTCOME MEASURES

16 indicators of quality of acute stroke care, mortality at 3 days after admission to the hospital, disability at the end of the inpatient spell, length of stay.

RESULTS

There was no variation in quality of care by day and time of admission to the hospital across the week in terms of stroke nursing assessment, brain scanning and thrombolysis in London hyperacute stroke units, nor was there variation in 3-day mortality or disability at hospital discharge (all p values>0.05). Other quality of care measures significantly varied by day and time of admission across the week in London (all p values<0.01). In the rest of England there was variation in all measures by day and time of admission across the week (all p values<0.01), except for mortality at 3 days (p value>0.05).

CONCLUSIONS

The London hyperacute stroke unit model achieved performance standards for 'front door' stroke care across the week. The same benefits were not achieved by other models of care in the rest of England. There was no weekend effect for mortality in London or the rest of the England. Other aspects of care were not constant across the week in London hyperacute stroke units, indicating some performance standards were perceived to be more important than others.

Time of Day and its Association with Risk of Death and Chance of Discharge in Critically Ill Patients: A Retrospective Study

Outcomes following admission to intensive care units (ICU) may vary with time and day. This study investigated associations between time of day and risk of ICU mortality and chance of ICU discharge in acute ICU admissions. Adult patients (age ≥ 18 years) who were admitted to ICUs participating in the Austrian intensive care database due to medical or surgical urgencies and emergencies between January 2012 and December 2016 were included in this retrospective study. Readmissions were excluded. Statistical analysis was conducted using the Fine-and-Gray proportional subdistribution hazards model concerning ICU mortality and ICU discharge within 30 days adjusted for SAPS 3 score. 110,628 admissions were analysed. ICU admission during late night and early morning was associated with increased hazards for ICU mortality; HR: 1.17; 95% CI: 1.08-1.28 for 00:00-03:59, HR: 1.16; 95% CI: 1.05-1.29 for 04:00-07:59. Risk of death in the ICU decreased over the day; lowest HR: 0.475, 95% CI: 0.432-0.522 for 00:00-03:59. Hazards for discharge from the ICU dropped sharply after 16:00; lowest HR: 0.024; 95% CI: 0.019-0.029 for 00:00-03:59. We conclude that there are "time effects" in ICUs. These findings may spark further quality improvement efforts.

Healthcare processes of laboratory tests for the prediction of mortality in the intensive care unit: a retrospective study based on electronic healthcare records in the USA

OBJECTIVES

Healthcare process carries important prognostic information for patients, but the healthcare processes of laboratory tests have not yet been investigated for patients in the intensive care unit (ICU). The study aimed to investigate the effect of healthcare processes of laboratory tests on hospital mortality, with the hypothesis that the addition of healthcare processes could improve the discrimination for mortality outcome.

DESIGN

The study included 12 laboratory tests. There were two dimensions for each laboratory test. One was the pathophysiology value; and the other was the healthcare process variables including the clock hour, the number of measurements and the measurement time from ICU admission. Generalised additive model was employed to investigate the effect of continuous variables on mortality. Generalised linear models with and without healthcare process variables were compared for their discrimination power.

SETTING

ICUs in an US-based hospital.

PARTICIPANTS

Adult patients included in the critical care big data Medical Information Mart for Intensive Care.

PRIMARY AND SECONDARY OUTCOME MEASURES

The hospital mortality was the primary outcome.

RESULTS

A total of 52 963 adult patients with complete ICU stay information were included for analysis. The mortality rate was 12.3%. Lower number of tests such as 1-3 times were associated with the lowest mortality for most laboratory tests. However, the hematocrit, glucose and potassium required 6-10 measurements for the first 24 hours to reach the lowest mortality rate. In n of the 12 prediction models involving laboratory tests, the addition of healthcare process variables was associated with significantly increased area under receiver operating characteristics.

CONCLUSIONS

The study showed that healthcare processes of laboratory tests were independently associated with hospital mortality. The addition of healthcare processes to the pathophysiology value could increase the discrimination for mortality outcome.

Survival Outcomes Are Not Affected When Liver Transplant Surgery Is Done at Night, During Weekends, or Summer Months

Background

It has been suggested that hospitalized patients may get suboptimal care in nights or on weekends or summer holidays due to sleep deprivation, physician fatigue, or reduced medical staffing. Our objective was to determine whether there were differences in outcomes when surgery was performed in the night (10 pm-6 am), on weekends (Saturday or Sunday), or during summer months (June-August).

Methods

We used United Network for Organ Sharing (UNOS) data sets of adults transplanted between February 27, 2002, and September 30, 2016. We estimated the start time of liver transplant surgery by utilizing the cross-clamp time and cold ischemia time (cross-clamp time + cold ischemia time - 2 h). The survival outcomes were estimated by Kaplan-Meier survival analysis. Patients with hepatocellular carcinoma (HCC) were analyzed separately. The independent effect of time of transplant on outcomes was analyzed after adjusting for common confounders, including Model for End-stage Liver Diseases scores and transplant center volume.

Results

During the study period, 4 434 (9.6%) were done in the night, 12 147 (26.4%) over weekends, and 11 976 (26%) during summer months. The graft and patient survival and complications were not influenced by the time of transplant for both HCC and non-HCC population. Cox regression analysis after adjusting for risk factors, including Model for End-stage Liver Diseases, donor risk index, and liver center volume, confirmed that there were no significant differences in outcomes.

Conclusions

Our study showed that the time of transplant surgery whether done during nights, weekends, or summer months had no effect on graft or patient survival irrespective of center volume, patient, or donor risk factors.

Admission to surgical intensive care unit in time with intensivist coverage and its association with postoperative 30-day mortality: The role of intensivists in a surgical intensive care unit

BACKGROUND

This study aimed to investigate the association between postoperative surgical Intensive Care Unit (ICU) admission during a time when there was intensivist coverage and 30-day mortality after ICU admission.

METHODS

This was a retrospective observational study in a tertiary care academic hospital ICU, with daytime intensivist coverage. We collected the electronic medical records for all patients who were admitted to the postoperative ICU after undergoing a surgery between January 1, 2007 and December 31, 2016. The primary outcome was to examine the differences in 30-day mortality after ICU admission according to ICU admission during times of intensivist or non-intensivist coverage.

RESULTS

Overall, 13,906 patients were included (6634 [47.7%] patients were admitted with intensivist coverage, and 7272 [52.3%] patients without intensivist coverage). After performing propensity Score matching, 10,708 patients (5354 patients in each group) were analysed. In the matched cohorts, 30-day mortality after postoperative ICU admission in the group without intensivist coverage was higher than that with intensivist coverage [30-day mortality, 251/5354 (4.7%) and 173/5354 (3.2%) in the groups without and with intensivist coverage, respectively, P < 0.001]. Post-operative ICU admission in the group without intensivist coverage was associated with an increased risk of 30-day mortality (risk ratio: 1.45, 95% confidence interval: 1.20-1.75, P < 0.001).

CONCLUSION

This study showed an increase in post-operative 30-day mortality, and length of hospital and ICU stay for surgical ICU admission among those without intensivist coverage.

Role of organisational factors on the 'weekend effect' in critically ill patients in Brazil: a retrospective cohort analysis

INTRODUCTION

Higher mortality for patients admitted to intensive care units (ICUs) during the weekends has been occasionally reported with conflicting results that could be related to organisational factors. We investigated the effects of ICU organisational and staffing patterns on the potential association between weekend admission and outcomes in critically ill patients.

METHODS

We included 59 614 patients admitted to 78 ICUs participating during 2013. We defined 'weekend admission' as any ICU admission from Friday 19:00 until Monday 07:00. We assessed the association between weekend admission with hospital mortality using a mixed logistic regression model controlling for both patient-level (illness severity, age, comorbidities, performance status and admission type) and ICU-level (decrease in nurse/bed ratio on weekend, full-time intensivist coverage, use of checklists on weekends and number of institutional protocols) confounders. We performed secondary analyses in the subgroup of scheduled surgical admissions.

RESULTS

A total of 41 894 patients (70.3%) were admitted on weekdays and 17 720 patients (29.7%) on weekends. In univariable analysis, weekend admitted patients had higher ICU (10.9% vs 9.0%, P<0.001) and hospital (16.5% vs 13.5%, P<0.001) mortality. After adjusting for confounders, weekend admission was not associated with higher hospital mortality (OR 1.05, 95% CI 0.99 to 1.12, P=0.095). However, a 'weekend effect' was still observed in scheduled surgical admissions, as well as in ICUs not using checklists during the weekends. For unscheduled admissions, no 'weekend effect' was observed regardless of ICU's characteristics. For scheduled surgical admissions, a 'weekend effect' was present only in ICUs with a low number of implemented protocols and those with a reduction in the nurse/bed ratio and not applying checklists during weekends.

CONCLUSIONS

ICU organisational factors, such as decreased nurse-to-patient ratio, absence of checklists and fewer standardised protocols, may explain, in part, increases in mortality in patients admitted to the ICU mortality on weekends.

ROSC rates and live discharge rates after cardiopulmonary resuscitation by different CPR teams - a retrospective cohort study

Background

Previous studies have reported that the quality of cardiopulmonary resuscitation (CPR) is closely associated with patient outcomes. The aim of this study was to compare patient CPR outcomes across resident, emergency medicine, and rapid response teams.

Methods

The records of patients who underwent CPR at the Seoul National University Bundang Hospital from January 1, 2013 to December 31, 2016 were analyzed retrospectively. Return of spontaneous circulation, 10- and 30-day survival, and live discharge after return of spontaneous circulation were compared across patients treated by the three CPR teams.

Results

Of the 1145 CPR cases, 444 (39%) were conducted by the resident team, 431 (38%) by the rapid response team, and 270 (23%) by the emergency medicine team. The adjusted odds ratios for the return of spontaneous circulation and subsequent 10-day survival among patients who received CPR from the resident team compared to the rapid response team were 0.59 (P = 0.001) and 0.71 (P = 0.037), respectively. There were no significant differences in the 30-day survival and rate of live discharge between patients who received CPR from the rapid response and resident teams; likewise, no significant differences were observed between patients who received CPR from the emergency medicine and rapid response teams.

Conclusions

Patients receiving CPR from the rapid response team may have higher 10-day survival and return of spontaneous circulation rates than those who receive CPR from the resident team. However, our results are limited by the differences in approach, time of CPR, and room settings between teams.

[Cost analysis as a tool for assessing the efficacy of intensive care units]

BACKGROUND

The German "Hospital Structure Act" intends to align the state hospital planning on quality criteria. Within this process cost-utility analyses (CUAs) shall be used to assess the efficacy of medical care. To be objective, CUAs of intensive care units (ICUs) require standardization (adjustment) of costs. The present study analyzed the extent to which treatment costs are related to patient-specific baseline variables (such as type and severity of the primary disease).

METHODS

From 2000-2004, a bottom-up procedure was used to quantify total costs on 14 ICUs in nine German university hospitals. Results were combined with demographic data, and data indicating type (ICD-10 codes) and severity (ICU scoring systems) of the primary disease at ICU admission. Various statistical models were tested to identify that which best described the associations between baseline variables and costs.

RESULTS

In all, 3803 critically ill patients could be examined. The median of treatment costs per patient was 3199 € (IQR 1768-6659 €). No model allowed an acceptably precise adjustment of costs; the estimated mean absolute prognostic error was at least 3860 € (mean relative prognostic error 66%), when we tested an Extreme Gradient Boosting Model.

CONCLUSION

Instruments which are currently available (cost adjustment based on patient-specific baseline variables) do not allow a standardization of costs, and an objective CUA of ICUs. Factors unknown at baseline may cause a large portion of treatment costs.