Hospital ward transfer to intensive care unit as a quality marker in emergency medicine

Adverse events during intrahospital transport of critically ill patients: A systematic review and meta-analysis

INTRODUCTION

Intrahospital transport of critically ill patients is often necessary for diagnostic procedures, therapeutic procedures, or admission to the intensive care unit. The aim of this study was to investigate and describe safety and adverse events during intrahospital transport of critically ill patients.

MATERIAL AND METHODS

A systematic search was performed of MEDLINE and the Cochrane Central Register of Controlled Trials for studies published up to June 3, 2020, and of the International Clinical Trials Platform Search Portal and ClinicalTrials.gov for ongoing trials. We selected prospective and retrospective cohort studies published in English on intrahospital transport of critically ill patients, and then performed a meta-analysis. The primary outcome was the incidence of all adverse events that occurred during intrahospital transport. The secondary outcomes were death due to intrahospital transport or life-threatening adverse events, minor events in vital signs, adverse events related to equipment, durations of ICU and hospital stay, and costs.

RESULTS

A total of 12,313 intrahospital transports and 1898 patients from 24 studies were included in the meta-analysis. Among 24 studies that evaluated the primary outcome, the pooled frequency of all adverse events was 26.2% (95% CI: 15.0-39.2) and the heterogeneity among these studies was high (I2 = 99.5%). The pooled frequency of death due to intrahospital transport and life-threatening adverse events was 0% and 1.47% each, but heterogeneity was also high.

CONCLUSIONS

Our findings suggest that adverse events can occur during intrahospital transport of critically ill patients, and that the frequency of critical adverse events is relatively low. The results of this meta-analysis could assist in risk-benefit analysis of diagnostic or therapeutic procedures requiring intrahospital transport of critically ill patients.

TRIAL REGISTRATION

UMIN000040963.

Quality Assurance in the Emergency Department

Quality assurance (QA) of care in the emergency department encompasses activities ensuring that the care provided meets applicable standards. Health care delivery is complex and many factors affect quality of care. Thus, quantification of health care quality is challenging, especially with regard to attribution of outcomes to various factors contributing to such care. A critical component of the process of QA is determination of quality health care and the concept of (unjustified) deviation from the reference applicable standard of care.

Dynamic data in the ED predict requirement for ICU transfer following acute care admission

Misidentification of illness severity may lead to patients being admitted to a ward bed then unexpectedly transferring to an ICU as their condition deteriorates. Our objective was to develop a predictive analytic tool to identify emergency department (ED) patients that required upgrade to an intensive or intermediate care unit (ICU or IMU) within 24 h after being admitted to an acute care floor. We conducted a single-center retrospective cohort study to identify ED patients that were admitted to an acute care unit and identified cases where the patient was upgraded to ICU or IMU within 24 h. We used data available at the time of admission to build a logistic regression model that predicts early ICU transfer. We found 42,332 patients admitted between January 2012 and December 2016. There were 496 cases (1.2%) of early ICU transfer. Case patients had 18.0-fold higher mortality (11.1% vs. 0.6%, p < 0.001) and 3.4 days longer hospital stays (5.9 vs. 2.5, p < 0.001) than those without an early transfer. Our predictive analytic model had a cross-validated area under the receiver operating characteristic of 0.70 (95% CI 0.67–0.72) and identified 10% of early ICU transfers with an alert rate of 1.6 per week (162.2 acute care admits per week, 1.9 early ICU transfers). Predictive analytic monitoring based on data available in the emergency department can identify patients that will require upgrade to ICU or IMU if admitted to acute care. Incorporating this tool into ED practice may draw attention to high-risk patients before acute care admit and allow early intervention.

Women and In-hospital Stroke Code Activation: Age, Ethnicity, and Unique Symptoms Matter

BACKGROUND

Women have worse stroke outcomes than men, and almost 17% of all stroke cases have symptom onset when admitted to the hospital for a separate condition.

OBJECTIVE

The aim of this study was to investigate the distinctive factors that impact the activation of an in-hospital stroke code and outcomes in women who have a stroke while admitted to the hospital for a separate condition.

METHODS

A retrospective observational propensity score study guided by the model for nursing effectiveness was used.

RESULTS

In-hospital stroke code was activated in 46 of 149 or 30.9% of women and 15 of 149 or 10.1% of women received thrombolytic therapy. Activation of an in-hospital stroke code was significant (P < .001) for women receiving thrombolytic therapy and significant to a home discharge status (P = .014). Age (P < .001), ethnicity (P < .001), common (P ≤ .001) and unique (P = .012) stroke symptoms, stroke risk factors (P < .001), comorbid conditions (P < .001), time last known well (P = .041), and diagnostic imaging (P < .001) were all significantly related to activation of an in-hospital stroke code.

CONCLUSIONS

Activation of an in-hospital stroke is a key indicator for women to receive thrombolytic therapy and be discharged to home. Younger married women from non-Caucasian ethnic groups and women with stroke risk factors and comorbid conditions are at a greater risk for delayed stroke symptom detection and not having an in-hospital stroke code activated. Awareness of these factors that hinder early stroke detection in women is crucial to improving stroke treatment and outcomes in women.

Predictive factors for secondary intensive care unit admission within 48 hours after hospitalization in a medical ward from the emergency room

BACKGROUND

Unplanned transfer to an ICU within 48 hours of admission from the emergency department (ED) can be considered an adverse event. Screening at risk for such an event is a challenge for ED staff. Our purpose was to identify the clinical and biological variables which may be identified in the ED setting and can predict short-term unplanned secondary transfer to the intensive care setting.

METHODS

This was a three-year retrospective case controlled monocentric study. The cases were patients transferred to a medical ICU within 48 hours of admission to the general wards from the ED. Each case was matched to two controls (patients not transferred to the ICU) based on age, gender, year of admission, and hospital unit. A conditional logistic regression was performed.

RESULTS

Three hundred nineteen patients, including 107 cases and 212 controls, were studied. Community-acquired pneumonia (CAP) was the most frequent diagnosis (23% of cases) followed by sepsis (16%). We identified six predictive factors of an unplanned short-term transfer to the ICU. Former smoking status, fever between 38°C and 40°C, dyspnea as the chief complaint in the ED, a lower MEDS score, an elevated acute physiology age chronic health evaluation score, and the ordering of an arterial blood gas each correlate with secondary transfer to an intensive care setting.

CONCLUSION

We report a higher risk of short-term unscheduled ICU transfer in patients meeting these criteria. These patients should be closely monitored and frequently re-evaluated before being transferred to a general ward.