Impact of nighttime Rapid Response Team activation on outcomes of hospitalized patients with acute deterioration

Outcomes and predictors of in-hospital mortality among patients admitted to the intensive care or step-down unit after a rapid response team activation: A retrospective cohort study

INTRODUCTION

It has been demonstrated that the implementation of rapid response teams (RRT) may improve clinical outcomes. Nevertheless, predictors of mortality among patients admitted to the intensive care unit (ICU) or to the step-down unit (SDU) after a RRT activation are not fully understood.

OBJECTIVE

To describe clinical characteristics, resource use, main outcomes, and to address predictors of in-hospital mortality among patients admitted to the ICU/SDU after RRT activation.

METHODS

Retrospective single-center cohort study conducted in a medical-surgical ICU/SDU located in a private quaternary care hospital. Adult patients admitted to the ICU or SDU between 2012 and 2020 were compared according to in-hospital mortality. A multivariate logistic regression analysis was performed to identify independent predictors of in-hospital mortality.

RESULTS

Among the 3841 patients included in this analysis [3165 (82.4%) survivors and 676 (17.6%) non-survivors], 1972 (51.3%) were admitted to the ICU and 1869 (48.7%) were admitted to the SDU. Compared to survivors, non-survivors were older [76 (64-87) yrs. vs. 67 (50-81) yrs.; p < 0.001], had a higher SAPS 3 score [64 (56-72) vs. 49 (40-57); p < 0.001], and had a longer length of stay (LOS) before unit admission [8 (3-19) days vs. 2 (1-7) days; p < 0.001). Non-survivors used more non-invasive ventilation (NIV) (42.2% vs. 20.9%; p < 0.001), mechanical ventilation (MV) (36.7% vs. 9.3%; p < 0.001), vasopressors (39.2% vs. 12.3%; p < 0.001), renal replacement therapy (15.5% vs. 4.3%; p < 0.001), and blood components transfusion (34.9% vs. 14.0%; p < 0.001). Independent predictors of in-hospital mortality were the SAPS 3 score, the Charlson Comorbidity Index, LOS before unit admission, immunosuppression, respiratory rate < 8 or > 28 ipm criteria for RRT activation, RRT activation during the night shift, and the need for high-flow nasal cannula, NIV, MV, vasopressors, and blood components transfusion.

CONCLUSION

Multiple factors may affect outcomes of ICU/SDU-admitted patients after RRT activation. Therefore, efforts should be made to boost RRT effectiveness to improve patient safety.

Relationship between Time of Day of Medical Emergency Team Activations and Outcomes of Hospitalized Pediatric Patients

This study was conducted to investigate whether outcomes of medical emergency team (MET) activations differ by time of day of hospitalized pediatric patients. This is a retrospective cohort study conduct at a tertiary pediatric hospital. Data were extracted from the charts of 846 patients (with one or more MET activations) over a 5-year period. Also can remove hospital names and affiliated institution from the body of the text as readers can find this information in the author list. Patients included children <18 years, admitted to a pediatric ward, who experienced a MET activation between January 1, 2016 and December 31, 2020. We excluded patients reviewed by the MET during a routine follow-up, planned pediatric intensive care unit (PICU) admissions from the ward, and MET activation in out-patient settings, post-anesthesia care unit, and neonatal intensive care unit. There was no intervention. A total of 1,230 MET encounters were included as part of the final analysis. Daytime (08:00-15:59) MET activation was associated with increased PICU admission (25.3%, p  = 0.04). There was some evidence of a higher proportion of critical deterioration events (CDEs) during daytime MET activation; however, this did not reach statistical significance (24%, p  = 0.09). The highest MET dosage occurred during the evening hours, 16:00 to 23:59 (15/1,000 admissions), and it was lowest overnight, 00:00 to 07:59 (8.8/1,000 admissions, p  < 0.001). This period of lowest MET dosage immediately preceded the highest likelihood of PICU admission (08:00, 37.5%) and CDE (09:00, 30.2%). Following the period of lowest MET activity overnight, MET activations during early daytime hours were associated with the highest likelihood of unplanned PICU admission and CDEs. This work identifies potential high-risk periods for undetected critical deterioration and targets for future quality improvement.

Development of a scale to assess nurses' difficulties in collaborating with physicians in responding to clinical deterioration during night shifts

AIMS

To develop a scale to assess difficulties that nurses experience when collaborating with physicians in responding to clinical deterioration during night shifts and identify factors associated with scoring using the developed scale.

METHODS

A web-based questionnaire with a draft scale, the Nighttime Collaboration Difficulties between Nurses and Physicians for Nurses (NCDNP-N), was distributed to nurses working night shifts in acute-care hospitals across Japan. Data were collected between July and October 2023. Of 435 responses, 405 were examined for the NCDNP-N's psychometric validation, including structural validity, criterion-related validity, and reliability assessments. Multiple linear regression analysis was performed for 385 responses excluded by listwise methods to identify factors associated with NCDNP-N scores.

RESULTS

The NCDNP-N has 10 items and three domains: Domain 1, dissatisfaction with physicians' actions; Domain 2, burden of working with night-shift physicians; and Domain 3, barriers to reporting during night shifts. Estimated reliability coefficients exceeded the recommended values. Multiple regression analyses demonstrated that more years of experience in the current ward and frequency of calling the covering physician at night were markedly associated with higher scores, whereas more nursing experience was associated with lower scores.

CONCLUSION

We developed the NCDNP-N and confirmed its validity and reliability. The study results suggest that the responsibilities and competence of nurses working night shifts and communication with the night-covering physician are associated with difficulties in nighttime collaboration. The NCDNP-N may help identify challenges in clinical settings as well as can be utilized in the evaluation study for improving nighttime collaboration.

Night Physician-Nurse Collaboration: Developing the Scale of Physicians' Difficulties and Exploring Related Factors in Acute Care Hospitals

Background

Responding to inpatient deterioration is less favorable at night than during the day, and this may be related to barriers in collaboration between physicians and nurses. However, there had been no way to assess the problem. This study aimed to develop a scale for physicians to measure difficulties in nighttime collaboration with nurses in response to deteriorating inpatients and to identify factors associated with the developed scale scores.

Methods

We developed a draft scale of Nighttime Collaboration Difficulties between Nurses and Physicians for Physicians (NCDNP-P) based on key informant interviews with physicians. Psychometric validations, including structural validity, criterion-related validity, and reliability tests, were conducted among physicians who worked on night duty or on call in acute-care hospitals in Japan using a cross-sectional web-based questionnaire. Multiple linear regression analyses were performed using independent variables including individual backgrounds, style of working at night, and facility characteristics.

Results

By performing exploratory factor analysis, we confirmed the structural validity of the NCDNP-P, consisting of seven items and two domains (Domain 1: Dissatisfaction with reporting, Domain 2: Barriers to working with nurses). Cronbach's alpha and McDonald's omega coefficients were 0.81-0.84 and 0.81-0.89, respectively. The criterion-related validity for interprofessional collaboration was confirmed. Multiple regression analysis revealed that the variables employment status, number of night shifts, frequency of nighttime calls about patients under another physician's charge, and handover between physicians before changing shifts were statistically significantly associated with NCDNP-P scores.

Conclusion

We developed the NCDNP-P, confirming its reliability and validity. Identified factors reflect physicians' characteristics and the problems experienced working at night and may be associated with barriers in nighttime collaboration. The NCDNP-P can highlight issues in clinical settings and lead to the consideration of initiatives to address such issues.

Implementation of a critical care outreach team in a children's hospital

Introduction

Proactive surveillance by a critical care outreach team (CCOT) can promote early recognition of deterioration in hospitalized patients but is uncommon in pediatric rapid response systems (RRSs). After our children's hospital introduced a CCOT in 2019, we aimed to characterize early implementation outcomes. We hypothesized that CCOT rounding would identify additional children at risk for deterioration.

Methods

The CCOT, staffed by a dedicated critical care nurse (RN), respiratory therapist, and attending, conducts daily in-person rounds with charge RNs on medical-surgical units, to screen RRS-identified high-risk patients for deterioration. In this prospective study, observers tracked rounds discussion content, participation, and identification of new high-risk patients. We compared 'identified-patient-discussions' (IPD) about RRS-identified patients, and 'new-patient-discussions' (NPD) about new patients with Fisher's exact test. For new patients, we performed thematic analysis of clinical data to identify deterioration related themes.

Results

During 348 unit-rounds over 20 days, we observed 383 discussions - 35 (9%) were NPD. Frequent topics were screening for clinical concerns (374/383, 98%), active clinical concerns (147/383, 39%), and watcher activation (66/383, 17%). Most discussions only included standard participants (353/383, 92%). Compared to IPD, NPD more often addressed active concerns (74.3% vs 34.8%, p < 0.01) and staffing resource concerns (5.7% vs 0.6%, p < 0.04), and more often incorporated extra participants (25.7% vs 6%, p < 0.01). In thematic analysis of 33 new patients, most (29/33, 88%) had features of deterioration.

Conclusion

A successfully implemented CCOT enhanced identification of clinical deterioration not captured by existing RRS resources. Future work will investigate its impact on operational safety and patient-centered outcomes.

Rapid Response Systems at a Long-Term Acute Care Hospital

Rapid Response Systems (RRS) improve patient outcomes at large medical centers. Little is known about how RRS are used in other medical settings. The purpose of this exploratory study was to describe RRS events at a long-term acute care hospital (LTACH). We conducted a retrospective review of 71 RRS event records at an urban 50-bed Midwestern LTACH. Measures included demographic data, triggering mechanisms, contextual factors, mechanism factors, and clinical outcomes. Of patients who experienced a RRS event, median age was 71 (62, 80) years; 52.1% were female; most (n = 49, 69%) were "full code." Most (n = 41, 58%) events occurred during the daytime. The most common trigger was "mental status changes/unresponsiveness." Registered nurses were the most frequent activator (n = 19, 26.8%) and responders (n = 63, 60.6%). Median duration of RRS events was 14 (6, 25) minutes. Most patients stabilized and their condition improved (n = 54, 76.1%). RRS can be expanded and modified to the LTACH population.

Association between time of day for rapid response team activation and mortality

PURPOSE

To evaluate the frequency of rapid response team (RRT) calls by time of day and their association with in-hospital mortality.

MATERIALS AND METHODS

This was a retrospective cohort study of all RRT calls at a tertiary teaching hospital in Porto Alegre, Brazil. Patients were categorized according to the time of initial RRT activation. Activations were classified as daytime (7:00-18:59) or nighttime (19:00-6:59). The primary outcome was in-hospital mortality rate. The secondary outcome was ICU admission within 48 h of RRT assessment.

RESULTS

During the study period, 4522 patients were included in the final analysis. Cardiovascular and respiratory changes were more common causes of nighttime activation, whereas neurological and laboratory changes were more common during the daytime. The in-hospital mortality rate was 23.9% (1081/4522). Nighttime RRT calls were not associated with worse outcomes than daytime calls. However, a decrease in the number of calls was observed during nursing handover periods (7:00, 13:00 and 19:00). Two time periods were associated with increased adjusted odds for mortality: 12:00-13:00 (adjusted OR 2.277; 95% CI 1.392-3.725) and 19:00-20:00 (adjusted OR 1.873; CI 1.873; 95% 1.099-3.190).

CONCLUSION

We found that nighttime RRT calls were not associated with worse outcomes than daytime RRT calls. However, a decrease in the number of calls and higher mortality was observed during nursing handover periods.

Leveraging EHR Data to Evaluate the Association of Late Recognition of Deterioration With Outcomes

OBJECTIVES

Emergency transfers (ETs), deterioration events with late recognition requiring ICU interventions within 1 hour of transfer, are associated with adverse outcomes. We leveraged electronic health record (EHR) data to assess the association between ETs and outcomes. We also evaluated the association between intervention timing (urgency) and outcomes.

METHODS

We conducted a propensity-score-matched study of hospitalized children requiring ICU transfer between 2015 and 2019 at a single institution. The primary exposure was ET, automatically classified using Epic Clarity Data stored in our enterprise data warehouse endotracheal tube in lines/drains/airway flowsheet, vasopressor in medication administration record, and/or ≥60 ml/kg intravenous fluids in intake/output flowsheets recorded within 1 hour of transfer. Urgent intervention was defined as interventions within 12 hours of transfer.

RESULTS

Of 2037 index transfers, 129 (6.3%) met ET criteria. In the propensity-score-matched cohort (127 ET, 374 matched controls), ET was associated with higher in-hospital mortality (13% vs 6.1%; odds ratio, 2.47; 95% confidence interval [95% CI], 1.24-4.9, P = .01), longer ICU length of stay (subdistribution hazard ratio of ICU discharge 0.74; 95% CI, 0.61-0.91, P < .01), and longer posttransfer length of stay (SHR of hospital discharge 0.71; 95% CI, 0.56-0.90, P < .01). Increased intervention urgency was associated with increased mortality risk: 4.1% no intervention, 6.4% urgent intervention, and 10% emergent intervention.

CONCLUSIONS

An EHR measure of deterioration with late recognition is associated with increased mortality and length of stay. Mortality risk increased with intervention urgency. Leveraging EHR automation facilitates generalizability, multicenter collaboratives, and metric consistency.

Characteristics and outcomes of patients screened by rapid response team who transferred to the intensive care unit

BACKGROUND

The utilization of a rapid response team (RRT) has influenced the clinical outcomes of patients in the general ward. However, the characteristics of RRT-screened patients who are transferred to the intensive care unit (ICU) are unknown. Therefore, the present study aimed to evaluate these factors.

METHODS

We conducted a retrospective study using patient data from a tertiary medical center in Republic of Korea between January 2016 and December 2017. Multivariate logistic regression analyses were performed to assess the factors associated with the risk of in-hospital mortality.

RESULTS

A total of 1,096 patients were included: 389 patients were transferred to the ICU, and 707 patients stayed in the ward. Patients in the ICU group were more likely to be admitted for medical reasons, hepatobiliary disease, and high heart rate. More interventions were performed, hospital stays were longer, and the 28-day and in-hospital mortality rates were higher in the ICU group than in the ward group. Multivariate logistic regression analyses showed that risk factors affecting ICU admission were higher Sequential Organ Failure Assessment (SOFA) score, National Early Warning Score (NEWS), platelet count, and lactate level. ICU transfer was not associated with in-hospital mortality.

CONCLUSIONS

Among RRT-screened patients, those with higher SOFA score, NEWS, and lactate level were more likely to be transferred to the ICU. Therefore, these patients should be closely monitored and considered for ICU transfer.

Outcomes of second-tier rapid response activations in a tertiary referral hospital: A prospective observational study

INTRODUCTION

A second-tier rapid response team (RRT) is activated for patients who do not respond to first-tier measures. The premise of a tiered response is that first-tier responses by a ward team may identify and correct early states of deterioration or establish goals of care, thereby reducing unnecessary escalation of care to the RRT. Currently, utilisation and outcomes of tiered RRTs remain poorly described.

METHODS

A prospective observational study of adult patients (age ≥18 years) who required RRT activations was conducted from February 2018 to December 2019.

RESULTS

There were 951 consecutive RRT activations from 869 patients and 76.0% patients had a National Early Warning Score (NEWS) ≥5 at the time of RRT activation. The majority (79.8%) of patients required RRT interventions that included endotracheal intubation (12.7%), point-of-care ultrasound (17.0%), discussing goals of care (14.7%) and intensive care unit (ICU) admission (24.2%). Approximately 1 in 3 (36.6%) patients died during hospitalisation or within 30 days of RRT activation. In multivariate analysis, age ≥65 years, NEWS ≥7, ICU admission, longer hospitalisation days at RRT activation, Eastern Cooperative Oncology Group performance scores ≥3 (OR [odds ratio] 2.24, 95% CI [confidence interval] 1.45-3.46), metastatic cancer (OR 2.64, 95% CI 1.71-4.08) and haematological cancer (OR 2.78, 95% CI 1.84-4.19) were independently associated with mortality.

CONCLUSION

Critical care interventions and escalation of care are common with second-tier RRTs. This supports the need for dedicated teams with specialised critical care services. Poor functional status, metastatic and haematological cancer are significantly associated with mortality, independent of age, NEWS and ICU admission. These factors should be considered during triage and goals of care discussion.

ICU-free days as a more sensitive primary outcome for clinical trials in critically ill pediatric patients

BACKGROUND

Our objective was to assess the association between intensive care unit (ICU)-free days and patient outcomes in pediatric prehospital care and to evaluate whether ICU-free days is a more sensitive outcome measure for emergency medical services research in this population.

METHODS

This study used data from a previous pediatric prehospital trial. The original study enrolled patients ≤12 years of age and compared bag-valve-mask-ventilation (BVM) versus endotracheal intubation (ETI) during prehospital resuscitation. For the current study, we defined ICU-free days as 30 minus the number of days in the ICU (range, 0-30 days) and assigned 0 ICU-free days for death within 30 days. We compared ICU-free days between the original study treatment groups (BVM vs ETI) and with the original trial outcomes of survival to hospital discharge and Pediatric Cerebral Performance Category (PCPC).

RESULTS

Median ICU-free days for the BVM group (n = 404) versus ETI group (n = 416) was not statistically different: 0 ICU-free days (interquartile range, 0-10) versus 0 (0-0), P = 0.219. Median ICU-free days were greater for BVM group in 3 subgroups: foreign body aspiration 30 (0-30) versus 0 (0-21), P = 0.028; child maltreatment 0 (0-14.2) versus 0 (0-0), P = 0.004; and respiratory arrest 25 (1-29) versus 7.5 (0-27.7), P = 0.015. In the original trial, neither survival nor PCPC demonstrated differences in all 3 subgroups-survival was greater with BVM for child maltreatment and respiratory arrest and favorable PCPC was greater with BVM for foreign body aspiration. Overall, in the current study, patients with more ICU-free days also had greater survival to hospital discharge and more favorable PCPC scores.

CONCLUSIONS

This initial study of the association between ICU-free days and patient outcomes during prehospital pediatric resuscitation appears to support the use of ICU-free days as a clinical endpoint in this population. ICU-free days may be more sensitive than either mortality or PCPC alone while capturing aspects of both measures.

An Exploratory Investigation into the Roles of Critical Care Response Teams in End-of-Life Care

Background

Critical Care Response Teams (CCRTs) represent an important interface between end-of-life care (EOLC) and critical care medicine (CCM). The aim of this study was to explore the roles and interactions of CCRTs in the provision of EOLC from the perspective of CCRT members.

Methods

Twelve registered nurses (RNs) and four respiratory therapists (RTs) took part in focus groups, and one-on-one interviews were conducted with six critical care physicians. Thematic coding using a modified constructivist grounded theory approach was used to identify emerging themes through an iterative process involving a four-member coding team.

Results

Three main perspectives were identified that spoke to CCRT interactions and perceptions of EOLC encounters. CCRT members felt that they provide a unique skill set of multidisciplinary expertise in treating critically ill patients and evaluating the utility of intensive care treatments. However, despite feeling that they possessed the skills and resources to deliver quality EOLC, CCRT members were ambivalent with respect to whether EOLC was a part of their mandate. Challenges were also identified that impacted the ability of CCRTs to deliver quality EOLC.

Conclusions

This research aids in understanding for the first time CCRT roles in EOLC from the perspectives of individual CCRT members themselves. While CCRTs provide unique multidisciplinary expertise to evaluate the utility of intensive care treatments, opportunities exist to support CCRTs in EOLC, such as dedicated EOLC training, protocols for advance care planning, documentation, and transitions to palliative care.

A systematic review of rapid response applications based on early warning score for early detection of inpatient deterioration

AIM

The aim of this study was to investigate the effectiveness of current rapid response applications available in acute care settings for escalation of patient deterioration. Current challenges and barriers, as well as key recommendations, were also discussed.

METHODS

We adopted PRISMA review methodology and screened a total of 559 articles. After considering the eligibility and selection criteria, we selected 13 articles published between 2015 and 2019. The selection criteria were based on the inclusion of studies that report on the advancement made to the current practice for providing rapid response to the patient deterioration in acute care settings.

RESULTS

We found that current rapid response applications are complicated and time-consuming for detecting inpatient deterioration. Existing applications are either siloed or challenging to use, where clinicians are required to move between two or three different applications to complete an end-to-end patient escalation workflow - from vital signs collection to escalation of deteriorating patients. We found significant differences in escalation and responses when using an electronic tool compared to the manual approach. Moreover, encouraging results were reported in extensive documentation of vital signs and timely alerts for patient deterioration.

CONCLUSION

The electronic vital signs monitoring applications are proved to be efficient and clinically suitable if they are user-friendly and interoperable. As an outcome, several key recommendations and features were identified that would be crucial to the successful implementation of any rapid response system in all clinical settings.

Predictors of mortality and cost among surgical patients requiring rapid response team activation

Background

Prior studies of rapid response team (RRT) implementation for surgical patients have demonstrated mixed results with respect to reductions in poor outcomes. The aim of this study was to identify predictors of in-hospital mortality and hospital costs among surgical inpatients requiring RRT activation.

Methods

We analyzed data prospectively collected from May 2012 to May 2016 at The Ottawa Hospital. We included patients who were at least 18 years of age, who were admitted to hospital, who received either preoperative or postoperative care, and and who required RRT activation. We created a multivariable logistic regression model to describe mortality predictors and a multivariable generalized linear model to describe cost predictors.

Results

We included 1507 patients. The in-hospital mortality rate was 15.9%. The patient-related factors most strongly associated with mortality included an Elixhauser Comorbidity Index score of 20 or higher (odds ratio [OR] 3.60, 95% confidence interval [CI] 1.96-6.60) and care designations excluding admission to the intensive care unit and cardiopulmonary resuscitation (OR 3.52, 95% CI 2.25-5.52). The strongest surgical predictors included neurosurgical admission (OR 2.09, 95% CI 1.17-3.75), emergent surgery (OR 2.04, 95% CI 1.37-3.03) and occurrence of 2 or more operations (OR 1.73, 95% CI 1.21-2.46). Among RRT factors, occurrence of 2 or more RRT assessments (OR 2.01, 95% CI 1.44-2.80) conferred the highest mortality. Increased cost was strongly associated with admitting service, multiple surgeries, multiple RRT assessments and medical comorbidity.

Conclusion

RRT activation among surgical inpatients identifies a population at high risk of death. We identified several predictors of mortality and cost, which represent opportunities for future quality improvement and patient safety initiatives.

Predictive powers of the Modified Early Warning Score and the National Early Warning Score in general ward patients who activated the medical emergency team

Background

The current early warning scores may be insufficient for medical emergency teams (METs) to use in assessing the severity and the prognosis of activated patients. We evaluated the predictive powers of the Modified Early Warning Score (MEWS) and the National Early Warning Score (NEWS) for 28-day mortality and to analyze predictors of 28-day mortality in general ward patients who activate the MET.

Methods

Adult general ward inpatients who activated the MET in a tertiary referral teaching hospital between March 2009 and December 2016 were included. The demographic and clinical characteristics and physiologic parameters at the time of MET activation were collected, and MEWS and NEWS were calculated.

Results

A total of 6,729 MET activation events were analyzed. Patients who died within 28 days were younger (mean age 60 vs 62 years), were more likely to have malignancy (72% vs 53%), were more likely to be admitted to the medical department rather than the surgical department (93% vs 80%), had longer intervals from admission to MET activation (median, 7 vs 5 days), and were less likely to activate the MET during nighttime hours (5 PM to 8 AM) (61% vs 66%) compared with those who did not die within 28 days (P < 0.001 for all comparisons). The areas under the receiver operating characteristic curves of MEWS and NEWS for 28-day mortality were 0.58 (95% CI, 0.56–0.59) and 0.60 (95% CI, 0.59–0.62), which were inferior to that of the logistics regression model (0.73; 95% CI, 0.72–0.74; P < 0.001 for both comparisons).

Conclusions

Both the MEWS and NEWS had poor predictive powers for 28-day mortality in patients who activated the MET. A new scoring system is needed to stratify the severity and prognosis of patients who activated the MET.

Does the Time of Solitary Rapid Response Team Call Affect Patient Outcome?

Objective

The study aimed to evaluate the effect of a single after-hours rapid response team (RRT) calls on patient outcome.

Design

A retrospective cohort study of RRT-call data over a 3-year period.

Setting

A 600-bedded, tertiary referral, public university hospital.

Participants

All adult patients who had a single RRT-call during their hospital stay.

Intervention

None.

Main outcomes measures

The primary outcome was to compare all-cause in-hospital mortality. The secondary outcomes were to study the hourly variation of RRT-calls and the mortality rate.

Results

Of the total 5,108 RRT-calls recorded, 1,916 patients had a single RRT-call. Eight hundred and sixty-one RRT-calls occurred during work-hours (08:00-17:59 hours) and 1,055 during after-hours (18:00-7:59). The all-cause in-hospital mortality was higher (15.07% vs 9.75%, OR 1.64, 95% CI 1.24-2.17, p value 0.001) in patients who had an after-hours RRT-call. This difference remained statistically significant after multivariate regression analysis (OR 1.50, 95% CI 1.11-2.01, p value 0.001). We noted a lower frequency of hourly RRT-calls after-hours but were associated with higher hourly mortality rates. There was no difference in outcomes for patients who were admitted to ICU post-RRT-call.

Conclusion

Patients having an after-hour RRT-call appear to have a higher risk for hospital mortality. No causal mechanism could be identified other than a decrease in hourly RRT usage during after-hours.

How to cite this article

Singh MY, Vegunta R, Karpe K, Rai S. Does the Time of Solitary Rapid Response Team Call Affect Patient Outcome? Indian J Crit Care Med 2020;24(1):38-43.

Hospital resource use and costs among abdominal aortic aneurysm repair patients admitted to the intensive care unit

BACKGROUND

Abdominal aortic aneurysm (AAA) repair is associated with significant morbidity and mortality. As a result, many of these patients are monitored postoperatively in the intensive care unit (ICU). However, little is known about resource utilization and costs associated with ICU admission in this population. We sought to evaluate predictors of total costs among patients admitted to the ICU after repair of nonruptured or ruptured AAA.

METHODS

We retrospectively analyzed prospectively collected data (2011-2016) of ICU patients admitted after AAA repair. The primary outcome was total hospital costs. We used elastic net regression to identify pre-ICU admission predictors of hospitalization costs separately for nonruptured and ruptured AAA patients.

RESULTS

We included 552 patients in the analysis. Of these, 440 (79.7%) were admitted after repair of nonruptured AAA, and 112 (20.3%) were admitted after repair of ruptured AAA. The mean age of patients with nonruptured AAA was 74 (standard deviation, 9) years, and the mean age of patients with ruptured AAA was 70 (standard deviation, 8) years. Median total hospital cost (in Canadian dollars) was $21,555 (interquartile range, $17,798-$27,294) for patients with nonruptured AAA and $33,709 (interquartile range, $23,173-$53,913) for patients with ruptured AAA. Among both nonruptured and ruptured AAA patients, increasing age, illness severity, use of endovascular repair, history of chronic obstructive pulmonary disease, and excessive blood loss (≥4000 mL) were associated with increased costs, whereas having an anesthesiologist with vascular subspecialty training was associated with lower costs.

CONCLUSIONS

Patient-, procedure-, and clinician-specific variables are associated with costs in patients admitted to the ICU after repair of AAA. These factors may be considered future targets in initiatives to improve cost-effectiveness in this population.

Outcomes of hospitalized hematologic oncology patients receiving rapid response system activation for acute deterioration

BACKGROUND

Patients with hematologic malignancies who are admitted to hospital are at increased risk of deterioration and death. Rapid response systems (RRSs) respond to hospitalized patients who clinically deteriorate. We sought to describe the characteristics and outcomes of hematologic oncology inpatients requiring rapid response system (RRS) activation, and to determine the prognostic accuracy of the SIRS and qSOFA criteria for in-hospital mortality of hematologic oncology patients with suspected infection.

METHODS

We used registry data from two hospitals within The Ottawa Hospital network, between 2012 and 2016. Consecutive hematologic oncology inpatients who experienced activation of the RRS were included in the study. Data was gathered at the time of RRS activation and assessment. The primary outcome was in-hospital mortality. Logistical regression was used to evaluate for predictors of in-hospital mortality.

RESULTS

We included 401 patients during the study period. In-hospital mortality for all included patients was 41.9% (168 patients), and 145 patients (45%) were admitted to ICU following RRS activation. Among patients with suspected infection at the time of RRS activation, Systemic Inflammatory Response Syndrome (SIRS) criteria had a sensitivity of 86.9% (95% CI 80.9-91.6) and a specificity of 38.2% (95% CI 31.9-44.8) for predicting in-hospital mortality, while Quick Sequential Organ Failure Assessment (qSOFA) criteria had a sensitivity of 61.9% (95% CI 54.1-69.3) and a specificity of 91.4% (95% CI 87.1-94.7). Factors associated with increased in-hospital mortality included transfer to ICU after RRS activation (adjusted odds ratio [OR] 3.56, 95% CI 2.12-5.97) and a higher number of RRS activations (OR 2.45, 95% CI 1.63-3.69). Factors associated with improved survival included active malignancy treatment at the time of RRS activation (OR 0.54, 95% CI 0.34-0.86) and longer hospital length of stay (OR 0.78, 95% CI 0.70-0.87).

CONCLUSIONS

Hematologic oncology inpatients requiring RRS activation have high rates of subsequent ICU admission and mortality. ICU admission and higher number of RRS activations are associated with increased risk of death, while active cancer treatment and longer hospital stay are associated with lower risk of mortality. Clinicians should consider these factors in risk-stratifying these patients during RRS assessment.

How actionable are staff behaviours specified in policy documents? A document analysis of protocols for managing deteriorating patients

BACKGROUND

To optimise care of deteriorating patients, healthcare organisations have implemented rapid response systems including an "afferent" and "efferent" limb. Afferent limb behaviours include monitoring vital signs and escalating care. To strengthen afferent limb behaviour and reduce adverse patient outcomes, the National Early Warning Score was implemented in the UK. There are no published reports of how National Early Warning Score guidance has translated into trust-level deteriorating patient policy and whether these documents provide clear, actionable statements guiding staff.

AIM

To identify how deteriorating patient policy documents provide "actionable" behavioural instruction for staff, responsible for actioning the afferent limb of the rapid response system.

DESIGN

A structured content analysis of a national guideline and local policies using a behaviour specification framework.

METHODS

Local deteriorating patient policies were obtained. Statements of behaviour were extracted from policies; coded using a behaviour specification framework: Target, Action, Context, Timing and Actor and scored for specificity (1 = present, nonspecific; 2 = present, specific). Frequencies and proportions of statements containing elements of the Target, Action, Context, Timing and Actor framework were summarised descriptively. Reporting was guided by the COREQ checklist.

RESULTS

There were more statements related to monitoring than escalation behaviour (65% vs 35%). Despite high levels of clear specification of the action (94%) and the target of the behaviour (74%), context, timing and actor were poorly specified (37%, 37% and 33%).

CONCLUSION

Delay in escalating deteriorating patients is associated with adverse outcomes. Some delay could be addressed by writing local protocols with greater behavioural specificity, to facilitate actionability.

RELEVANCE TO CLINICAL PRACTICE

Numerous clinical staff are required for an effective response to patient deterioration. To mitigate role confusion, local policy writers should provide clear specification of the actor. As the behaviours are time-sensitive, clear specification of the time frame may increase actionability of policy statements for clinical staff.

Prognostic accuracy of the Hamilton Early Warning Score (HEWS) and the National Early Warning Score 2 (NEWS2) among hospitalized patients assessed by a rapid response team

Background

Rapid response teams (RRTs) respond to hospitalized patients experiencing clinical deterioration and help determine subsequent management and disposition. We sought to evaluate and compare the prognostic accuracy of the Hamilton Early Warning Score (HEWS) and the National Early Warning Score 2 (NEWS2) for prediction of in-hospital mortality following RRT activation. We secondarily evaluated a subgroup of patients with suspected infection.

Methods

We retrospectively analyzed prospectively collected data (2012–2016) of consecutive RRT patients from two hospitals. The primary outcome was in-hospital mortality. We calculated the number needed to examine (NNE), which indicates the number of patients that need to be evaluated in order to detect one future death.

Results

Five thousand four hundred ninety-one patients were included, of whom 1837 (33.5%) died in-hospital. Mean age was 67.4 years, and 51.6% were male. A HEWS above the low-risk threshold (≥ 5) had a sensitivity of 75.9% (95% confidence interval (CI) 73.9–77.9) and specificity of 67.6% (95% CI 66.1–69.1) for mortality, with a NNE of 1.84. A NEWS2 above the low-risk threshold (≥ 5) had a sensitivity of 84.5% (95% CI 82.8–86.2), and specificity of 49.0% (95% CI: 47.4–50.7), with a NNE of 2.20. The area under the receiver operating characteristic curve (AUROC) was 0.76 (95% CI 0.75–0.77) for HEWS and 0.72 (95% CI: 0.71–0.74) for NEWS2. Among suspected infection patients (n = 1708), AUROC for HEWS was 0.79 (95% CI 0.76–0.81) and for NEWS2, 0.75 (95% CI 0.73–0.78).

Conclusions

The HEWS has comparable clinical accuracy to NEWS2 for prediction of in-hospital mortality among RRT patients.

Electronic supplementary material

The online version of this article (10.1186/s13054-019-2355-3) contains supplementary material, which is available to authorized users.

Emergency Department disposition decisions and associated mortality and costs in ICU patients with suspected infection

Background

Following emergency department (ED) assessment, patients with infection may be directly admitted to the intensive care unit (ICU) or alternatively admitted to hospital wards or sent home. Those admitted to the hospital wards or sent home may experience future deterioration necessitating ICU admission.

Methods

We used a prospectively collected registry from two hospitals within a single tertiary care hospital network between 2011 and 2014. Patient information, outcomes, and costs were stored in the hospital data warehouse. Patients were categorized into three groups: (1) admitted directly from the ED to the ICU; (2) initially admitted to the hospital wards, with ICU admission within 72 hours of initial presentation; or (3) sent home from the ED, with ICU admission within 72 hours of initial presentation. Using multivariable logistic regression, we sought to compare outcomes and total costs between groups. Total costs were evaluated using a generalized linear model.

Results

A total of 657 patients were included; of these, 338 (51.4%) were admitted directly from the ED to the ICU, 246 (37.4%) were initially admitted to the wards and then to the ICU, and 73 (11.1%) were initially sent home and then admitted to the ICU. In-hospital mortality was lowest among patients admitted directly to the ICU (29.5%), as compared with patients admitted to the ICU from wards (42.7%) or home (61.6%) (P < 0.001). As compared with direct ICU admission, disposition to the ward was associated with an adjusted OR of 1.75 (95% CI, 1.22–2.50; P < 0.01) for mortality, and disposition home was associated with an adjusted OR of 4.02 (95% CI, 2.32–6.98). Mean total costs were lowest among patients directly admitted to the ICU ($26,748), as compared with those admitted from the wards ($107,315) and those initially sent home ($71,492) (P < 0.001). Cost per survivor was lower among patients directly admitted to the ICU ($37,986) than either those initially admitted to the wards ($187,230) or those sent home ($186,390) (P < 0.001).

Conclusions

In comparison with direct admission to the ICU, patients with suspected infection admitted to the ICU who have previously been discharged home or admitted to the ward are associated with higher in-hospital mortality and costs.

Electronic supplementary material

The online version of this article (10.1186/s13054-018-2096-8) contains supplementary material, which is available to authorized users.