Off-hours admission and mortality in two pediatric intensive care units without 24-h in-house senior staff attendance

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.

Incidence and predictors of mortality among children admitted to the pediatric intensive care unit at the University of Gondar comprehensive specialised hospital, northwest Ethiopia: a prospective observational cohort study

OBJECTIVE

To determine the incidence and predictors of mortality among children admitted to the paediatric intensive care unit (PICU) at the University of Gondar comprehensive specialised hospital, northwest Ethiopia.

DESIGN

A single-centre prospective observational cohort study.

PARTICIPANTS

A total of 313 children admitted to the ICU of the University of Gondar comprehensive specialised hospital during a one-and-a-half-year period.

MEASUREMENTS

Data were collected using standard case record form, physical examination and patient document review. Clinical characteristics such as systolic blood pressure, pupillary light reflex, oxygen saturation and need for mechanical ventilation (MV) were assessed and documented within the first hour of admission and entered into an electronic application to calculate the modified Pediatric Index of Mortality 2 (PIM 2) Score. We fitted the Cox proportional hazards model to identify predictors of mortality.

RESULT

The median age at admission was 48 months with IQR: 12-122, 28.1% were infants and adolescents accounted for 21.4%. Of the total patients studied, 59.7% were males. The median observation time was 3 days with (IQR: 1-6). One hundred and two (32.6%) children died during the follow-up time, and the incidence of mortality was 6.9 deaths per 100 person-day observation. Weekend admission (adjusted HR (AHR)=1.63, 95% CI: 1.02 to 2.62), critical illness diagnoses (AHR=1.79, 95% CI: 1.13 to 2.85), need for MV (AHR=2.36, 95% CI: 1.39 to 4.01) and modified PIM 2 Score (AHR=1.53, 95% CI: 1.36 to 1.72) were the predictors of mortality.

CONCLUSION

The rate of mortality in the PICU was high, admission over weekends, need for MV, critical illness diagnoses and higher PIM 2 scores were significant and independent predictors of mortality.

Management of children visiting the emergency department during out-of-office hours: an observational study

BACKGROUND

The aim was to study the characteristics and management of children visiting the emergency department (ED) during out-of-office hours.

METHODS

We analysed electronic health record data from 119 204 children visiting one of five EDs in four European countries. Patient characteristics and management (diagnostic tests, treatment, hospital admission and paediatric intensive care unit admission) were compared between children visiting during office hours and evening shifts, night shifts and weekend day shifts. Analyses were corrected for age, gender, Manchester Triage System urgency, abnormal vital signs, presenting problems and hospital.

RESULTS

Patients presenting at night were younger (median (IQR) age: 3.7 (1.4-8.2) years vs 4.8 (1.8-9.9)), more often classified as high urgent (16.3% vs 9.9%) and more often had ≥2 abnormal vital signs (22.8% vs 18.1%) compared with office hours. After correcting for disease severity, laboratory and radiological tests were less likely to be requested (adjusted OR (aOR): 0.82, 95% CI 0.78-0.86 and aOR: 0.64, 95% CI 0.60-0.67, respectively); treatment was more likely to be undertaken (aOR: 1.56, 95% CI 1.49-1.63) and patients were more likely to be admitted to the hospital (aOR: 1.32, 95% CI 1.24-1.41) at night. Patterns in management during out-of-office hours were comparable between the different hospitals, with variability remaining.

CONCLUSIONS

Children visiting during the night are relatively more seriously ill, highlighting the need to keep improving emergency care on a 24-hour-a-day basis. Further research is needed to explain the differences in management during the night and how these differences affect patient outcomes.

Paediatric outcomes and timing of admission

Studies of adult patients have demonstrated that weekend admissions compared with weekday admissions had a significantly higher hospital mortality rate. We have reviewed the literature to determine if the timing of admission, for example, weekend or weekday, influenced mortality and morbidity in children. Seventeen studies reported the effect of timing of admission on mortality, and only four studies demonstrated an increase in those admitted at the weekend. Meta-analysis of the results of 15 of the studies demonstrated there was no significant weekend effect. There was, however, considerable heterogeneity in the studies. There were two large UK studies: one reported an increased mortality only for planned weekend admissions likely explained by planned admissions for complex conditions and the other showed no significant weekend effect. Two studies, one of which was large (n=2913), reported more surgical complications in infants undergoing weekend oesophageal atresia and trachea-oesophageal repair. Medication errors have also been reported to be more common at weekends. Five studies reported the effect of length of stay, meta-analysis demonstrated a significantly increased length of stay following a weekend admission, the mean difference was approximately 1 day. Those data, however, should be interpreted with the caveat that there was no adjustment in all of the studies for differences in disease severity. We conclude that weekend admission overall does not increase mortality but may be associated with a longer length of stay and, in certain conditions, with greater morbidity.

Off-Hours Admissions and Mortality in PICU Without 24-Hour Onsite Intensivist Coverage

OBJECTIVE

To evaluate whether the off-hours admission has any effect on risk-adjusted mortality and length of stay for nonelective patients admitted to a pediatric intensive care unit (PICU) without 24-hour in-house intensivist coverage.

DESIGN

Prospective cohort study.

SETTING

A 34-bed tertiary PICU.

PATIENTS

All consecutive nonelective patients aged 0 to 14 years admitted from January 2012 to June 2015.

MEASUREMENTS AND MAIN RESULTS

A total of 1254 patients were nonelectively admitted to the PICU. They were categorized according to time of PICU admission as either office hours (07:30 to 16:30 from Sunday to Thursday and whenever an intensivist is present in the ICU) or off-hours (16:30 to 07:30, Friday and Saturday and public holidays). Standardized mortality rates (SMRs) of patients admitted during off-hours were compared to SMRs of patients admitted during office hours using Pediatric Risk of Mortality (PRISM2) score. Multivariate logistic regression was used to assess the effect of time of admission on outcome after adjustment for severity of illness using the PRISM2. The mortality observed in the office-hours group was 9.4% and in the off-hours group was 8.1%. The PRISM2-based SMR was 0.83 (95% confidence interval [CI]: 0.43-1.47) for the office-hours group and 0.68 (95% CI: 0.34-1.36) for the off-hours group. No significant differences in length of ICU stay or duration of mechanical ventilation were observed between patients admitted during off-hours and those admitted during office hours. In the logistic regression model, off-hours admission was not significantly associated with a higher mortality (odds ratio: 0.85, 95% CI: 0.57-1.27; P = .44).

CONCLUSIONS

The absence of an in-house intensivist during off-hours is not associated with an increase in mortality, length of ICU stay, or duration of mechanical ventilation for patients admitted to our pediatric ICU.

Time of Admission to the PICU and Mortality

OBJECTIVES

To evaluate for any association between time of admission to the PICU and mortality.

DESIGN

Retrospective cohort study of admissions to PICUs in the Virtual Pediatric Systems (VPS, LLC, Los Angeles, CA) database from 2009 to 2014.

SETTING

One hundred and twenty-nine PICUs in the United States.

PATIENTS

Patients less than 18 years old admitted to participating PICUs; excluding those post cardiac bypass.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 391,779 admissions were included with an observed PICU mortality of 2.31%. Overall mortality was highest for patients admitted from 07:00 to 07:59 (3.32%) and lowest for patients admitted from 14:00 to 14:59 (1.99%). The highest mortality on weekdays occurred for admissions from 08:00 to 08:59 (3.30%) and on weekends for admissions from 09:00 to 09:59 (4.66%). In multivariable regression, admission during the morning 06:00-09:59 and midday 10:00-13:59 were independently associated with PICU death when compared with the afternoon time period 14:00-17:59 (morning odds ratio, 1.15; 95% CI, 1.04-1.26; p = 0.006 and midday odds ratio, 1.09; 95% CI; 1.01-1.18; p = 0.03). When separated into weekday versus weekend admissions, only morning admissions were associated with increased odds of death on weekdays (odds ratio, 1.13; 95% CI, 1.01-1.27; p = 0.03), whereas weekend admissions during the morning (odds ratio, 1.33; 95% CI, 1.14-1.55; p = 0.004), midday (odds ratio, 1.27; 95% CI, 1.11-1.45; p = 0.0006), and afternoon (odds ratio, 1.17; 95% CI, 1.03-1.32; p = 0.01) were associated with increased risk of death when compared with weekday afternoons.

CONCLUSIONS

Admission to the PICU during the morning period from 06:00 to 09:59 on weekdays and admission throughout the day on weekends (06:00-17:59) were independently associated with PICU death as compared to admission during weekday afternoons. Potential contributing factors deserving further study include handoffs of care, rounds, delays related to resource availability, or unrecognized patient deterioration prior to transfer.

Factors Associated With Mortality in Low-Risk Pediatric Critical Care Patients in The Netherlands

OBJECTIVE

To determine differences between survivors and nonsurvivors and factors associated with mortality in pediatric intensive care patients with low risk of mortality.

DESIGN

Retrospective cohort study.

SETTING

Patients were selected from a national database including all admissions to the PICUs in The Netherlands between 2006 and 2012.

PATIENTS

Patients less than 18 years old admitted to the PICU with a predicted mortality risk lower than 1% according to either the recalibrated Pediatric Risk of Mortality or the Pediatric Index of Mortality 2 were included.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In total, 16,874 low-risk admissions were included of which 86 patients (0.5%) died. Nonsurvivors had more unplanned admissions (74.4% vs 38.5%; p < 0.001), had more complex chronic conditions (76.7% vs 58.8%; p = 0.001), were more often mechanically ventilated (88.1% vs 34.9%; p < 0.001), and had a longer length of stay (median, 11 [interquartile range, 5-32] d vs median, 3 [interquartile range, 2-5] d; p < 0.001) when compared with survivors. Factors significantly associated with mortality were complex chronic conditions (odds ratio, 3.29; 95% CI, 1.97-5.50), unplanned admissions (odds ratio, 5.78; 95% CI, 3.40-9.81), and admissions in spring/summer (odds ratio, 1.67; 95% CI, 1.08-2.58).

CONCLUSIONS

Nonsurvivors in the PICU with a low predicted mortality risk have recognizable risk factors including complex chronic condition and unplanned admissions.

Increased Occurrence of Tracheal Intubation-Associated Events During Nights and Weekends in the PICU

OBJECTIVES

Adverse tracheal intubation-associated events are common in PICUs. Prior studies suggest provider and practice factors are important contributors to tracheal intubation-associated events. Little is known about how the incidence of tracheal intubation-associated events is affected by the time of day, day of the week, or presence of in-hospital attending-level intensivists. We hypothesize that tracheal intubations occurring during nights and weekends are associated with a higher frequency of tracheal intubation-associated events.

DESIGN

Retrospective observational cohort study.

SETTING

Twenty international PICUs.

SUBJECTS

Critically ill children requiring tracheal intubation.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We analyzed 5,096 tracheal intubation courses from July 2010 to March 2014 from the prospective multicenter National Emergency Airway Registry for Children. Frequency of a priori-defined tracheal intubation-associated events was the primary outcome. Occurrence of any tracheal intubation-associated events and severe tracheal intubation-associated events were more common during nights (19:00 to 06:59) and weekends compared with weekdays (19% vs 16%, p = 0.01; 7% vs 6%, p = 0.05, respectively). This difference was significant in emergent intubations after adjusting for site-level clustering and patient factors: for any tracheal intubation-associated events: adjusted odds ratio, 1.20; 95% CI, 1.02-1.41; p = 0.03; but not significant in nonemergent intubations: adjusted odds ratio, 0.94; 95% CI, 0.63-1.40; p = 0.75. For emergent intubations, PICUs with home-call attending coverage had a significantly higher frequency of tracheal intubation-associated events during nights and weekends (adjusted odds ratio, 1.29; 95% CI, 1.01-1.66; p = 0.04), and this difference was attenuated in PICUs with in-hospital attending coverage (adjusted odds ratio, 1.12; 95% CI, 0.91-1.39; p = 0.28).

CONCLUSIONS

Higher occurrence of tracheal intubation-associated events was observed during nights and weekends. This difference was primarily attributed to emergent intubations. In- hospital attending physician coverage attenuated this discrepancy between weekdays versus nights and weekends but was not fully protective for tracheal intubation-associated events.

Off-hours admission to pediatric intensive care and mortality

BACKGROUND

Critically ill patients are admitted to the pediatric ICU at all times, while staffing and other factors may vary by day of the week or time of day. The purpose of this study was to evaluate whether admission during off-hours is independently associated with mortality in PICUs.

METHODS

A retrospective cohort study of admissions of patients <18 years of age to PICUs was performed using the Virtual PICU Systems (VPS, LLC) database. "Off-hours" was defined as nighttime (7:00 pm to 6:59 am) or weekend (Saturday or Sunday any time). Mixed-effects multivariable regression was performed by using Pediatric Index of Mortality 2 (PIM2) to adjust for severity of illness. Primary outcome was death in the pediatric ICU.

RESULTS

Data from 234,192 admissions to 99 PICUs from January 2009 to September 2012 were included. When compared with regular weekday admissions, off-hours admissions were less likely to be elective, had a higher risk for mortality by PIM2, and had a higher observed ICU mortality (off-hours 2.7% vs weekdays 2.2%; P < .001). Multivariable regression revealed that, after adjustment for other significant factors, off-hours admission was associated with lower odds of mortality (odds ratio, 0.91; 95% confidence interval, 0.85-0.97; P = .004). Post hoc multivariable analysis revealed that admission during the morning period 6:00 am to 10:59 am was independently associated with death (odds ratio, 1.27; 95% confidence interval, 1.16-1.39; P < .0001).

CONCLUSIONS

Off-hours admission does not independently increase odds of death in the PICU. Admission from 6:00 am to 10:59 am is associated with increased risk for death and warrants further investigation in the PICU population.

Trauma care inside and outside business hours: comparison of process quality and outcome indicators in a German level-1 trauma center

Background

Optimal care of multiple trauma patients has to be at a high level around the clock. Trauma care algorithms and guidelines are available, yet it remains unclear if the time of admission to the trauma room affects the quality of care and outcomes. Hence the present study intends to compare the quality of trauma room care of multiple severely injured patients at a level-1 trauma center depending on the time of admission.

Methods

A total of 394 multiple trauma patients with an ISS ≥ 16 were included into this study (observation period: 52 months). Patients were grouped by the time and date of their admission to the trauma room [business hours (BH): weekdays from 8:00 a.m. to 4:00 p.m. vs. non-business hours (NBH): outside BH]. The study analysed differences in patient demographics, trauma room treatment and outcome.

Results

The study sample was comparable in all basic characteristics [mean ISS: 32.3 ± 14.3 (BH) vs. 32.6 ± 14.4 (NBH), p = 0.853; mean age: 40.8 ± 21.0 (BH) vs. 37.7 ± 20.2 years (NBH), p = 0.278]. Similar values were found for the time needed for single interventions, like arterial access [4.8 ± 3.9 min (BH) vs. 4.9 ± 3.4 min (NBH), p = 0.496] and quality-assessment parameters, like time until CT [28.5 ± 18.7 min (BH), vs. 27.3 ± 9.5) min (NBH), p = 0.637]. There was no difference for the 24 h mortality and overall hospital mortality in BH and NBH, with 13.5% vs. 9.1% (p = 0.206) and, 21.9% vs. 15.4% (p = 0.144), respectively. The Glasgow Outcome Scale (GOS) comparison revealed no difference [3.7 ± 1.6 (BH) vs. 3.9 ± 1.5 (NBH), p = 0.305]. In general, the observed demographic, injury severity, care quality and outcome parameters revealed no significant difference between the two time periods BH and NBH.

Conclusions

The study hospital provides multiple trauma patient care at comparable quality irrespective of time of admission to the trauma room. These results might be attributable to the standardization of the treatment process using established principles, algorithms and guidelines as well as to the resources available in a level-1 trauma center.

Evaluation of endocrine function in children admitted to pediatric intensive care unit

BACKGROUND

Although studied widely in adulthood, little is known about endocrinological disorders during critical illnesses in childhood. The aims of this study were to define the endocrinological changes in patients admitted to pediatric intensive care unit (PICU) and to identify their effects on prognosis.

METHODS

Forty patients with a mean age of 5.1 years admitted to PICU were enrolled in the study. Blood samples were taken at admission and at 24 and 48 h to measure cortisol, adrenocorticotropic hormone (ACTH), prolactin, growth hormone (GH), GH binding protein (GHBP), insulin-like growth factor-binding protein-3 (IGFBP-3) and interleukin-6 (IL-6). The severity of the patient's condition was assessed using pediatric risk of mortality (PRISM) and pediatric logistic organ dysfunction (PELOD) scores.

RESULTS

PRISM and PELOD scores were significantly higher in non-survivors. Cortisol, ACTH, prolactin, GH, GHBP, IGFBP-3 and IL-6 were not significantly different between the survivors and non-survivors. There was a negative correlation between baseline IGFBP-3 and PRISM scores. A positive correlation was seen between cortisol level at 24 h and PRISM score. On multivariate linear regression analysis, PRISM score was best explained by ACTH and cortisol at 24 h. A positive weak correlation was detected between IL-6 at 24 h and PELOD scores.

CONCLUSIONS

Although there was no difference between survivors and non-survivors regarding the studied endocrine parameters, there were associations between cortisol, ACTH, IL-6 and IGFBP-3 and risk assessment scores, and, given that these scores correlated with mortality, these parameters might be useful as prognostic factors.

The evolving model of pediatric critical care delivery in North America

The past 50 years have witnessed the emergence and evolution of the modern pediatric ICU and the specialty of pediatric critical care medicine. ICUs have become key in the delivery of health care services. The patient population within pediatric ICUs is diverse. An assortment of providers, including intensivists, trainees, physician assistants, nurse practitioners, and hospitalists, perform a variety of roles. The evolution of critical care medicine also has seen the rise of critical care nursing and other critical care staff collaborating in multidisciplinary teams. Delivery of optimal critical care requires standardized, reliable, and evidence-based processes, such as bundles, checklists, and formalized communication processes.

Mortality prediction models for pediatric intensive care: comparison of overall and subgroup specific performance

AIM

To validate paediatric index of mortality (PIM) and pediatric risk of mortality (PRISM) models within the overall population as well as in specific subgroups in pediatric intensive care units (PICUs).

METHODS

Variants of PIM and PRISM prediction models were compared with respect to calibration (agreement between predicted risks and observed mortality) and discrimination (area under the receiver operating characteristic curve, AUC). We considered performance in the overall study population and in subgroups, defined by diagnoses, age and urgency at admission, and length of stay (LoS) at the PICU. We analyzed data from consecutive patients younger than 16 years admitted to the eight PICUs in the Netherlands between February 2006 and October 2009. Patients referred to another ICU or deceased within 2 h after admission were excluded.

RESULTS

A total of 12,040 admissions were included, with 412 deaths. Variants of PIM2 were best calibrated. All models discriminated well, also in patients <28 days of age (neonates), with overall higher AUC for PRISM variants (PIM = 0.83, PIM2 = 0.85, PIM2-ANZ06 = 0.86, PIM2-ANZ08 = 0.85, PRISM = 0.88, PRISM3-24 = 0.90). Best discrimination for PRISM3-24 was confirmed in 13 out of 14 subgroup categories. After recalibration PRISM3-24 predicted accurately in most (12 out of 14) categories. Discrimination was poorer for all models (AUC < 0.73) after LoS of >6 days at the PICU.

CONCLUSION

All models discriminated well, also in most subgroups including neonates, but had difficulties predicting mortality for patients >6 days at the PICU. In a western European setting both the PIM2(-ANZ06) or a recalibrated version of PRISM3-24 are suited for overall individualized risk prediction.