Impact of hospitalization duration before medical emergency team activation: A retrospective cohort study

Safety and Effectiveness of Intensive Treatments Administered Outside the Intensive Care Unit to Hematological Critically Ill Patients: An Intensive Care without Walls Trial

Historically, the admission of hematological patients in the ICU shortly after the start of a critical illness is associated with better survival rates. Early intensive interventions administered by MET could play a role in the management of hematological critically ill patients, eventually reducing the ICU admission rate. In this retrospective and monocentric study, we evaluate the safety and effectiveness of intensive treatments administered by the MET in a medical ward frame. The administered interventions were mainly helmet CPAP and pharmacological cardiovascular support. Frequent reassessment by the MET at least every 8 to 12 h was guaranteed. We analyzed data from 133 hematological patients who required MET intervention. In-hospital mortality was 38%; mortality does not increase in patients not immediately transferred to the ICU. Only three patients died without a former admission to the ICU; in these cases, mortality was not related to the acute illness. Moreover, 37% of patients overcame the critical episode in the hematological ward. Higher SOFA and MEWS scores were associated with a worse survival rate, while neutropenia and pharmacological immunosuppression were not. The MET approach seems to be safe and effective. SOFA and MEWS were confirmed to be effective tools for prognostication.

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.

Development and validation of nomogram for unplanned ICU admission in patients with dilated cardiomyopathy

Objective

Unplanned admission to the intensive care unit (ICU) is the major in-hospital adverse event for patients with dilated cardiomyopathy (DCM). We aimed to establish a nomogram of individualized risk prediction for unplanned ICU admission in DCM patients.

Methods

A total of 2,214 patients diagnosed with DCM from the First Affiliated Hospital of Xinjiang Medical University from January 01, 2010, to December 31, 2020, were retrospectively analyzed. Patients were randomly divided into training and validation groups at a 7:3 ratio. The least absolute shrinkage and selection operator and multivariable logistic regression analysis were used for nomogram model development. The area under the receiver operating characteristic curve, calibration curves, and decision curve analysis (DCA) were used to evaluate the model. The primary outcome was defined as unplanned ICU admission.

Results

A total of 209 (9.44%) patients experienced unplanned ICU admission. The variables in our final nomogram included emergency admission, previous stroke, New York Heart Association Class, heart rate, neutrophil count, and levels of N-terminal pro b-type natriuretic peptide. In the training group, the nomogram showed good calibration (Hosmer-Lemeshow χ 2 = 14.40, P = 0.07) and good discrimination, with an optimal-corrected C-index of 0.76 (95% confidence interval: 0.72-0.80). DCA confirmed the clinical net benefit of the nomogram model, and the nomogram maintained excellent performances in the validation group.

Conclusion

This is the first risk prediction model for predicting unplanned ICU admission in patients with DCM by simply collecting clinical information. This model may assist physicians in identifying individuals at a high risk of unplanned ICU admission for DCM inpatients.

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.

Establishment of heparin-binding protein time-resolved immunoassay and some potential clinical applications

AIM

To establish a highly sensitive time-resolved fluorescence immunoassay of heparin-binding protein (HBP-TRFIA) and evaluate its application value for bacterial or fungal infections in tumor patients.

METHODS

Two types of HBP monoclonal specific antibodies against different epitopes of the antigen molecule were used as coating antibodies and Eu³⁺-labeled antibodies, respectively. The double-antibody sandwich method was used in establishing HBP-TRFIA, and the methodology was evaluated. The established HBP-TRFIA was used in detecting HBP concentration in the plasma samples of healthy individuals, patients with bacterial or fungal infections, and infected or uninfected patients with various types of tumors.

RESULTS

The linear range of HBP-TRFIA was (0.11-530 ng/mL). Plasma HBP concentrations detected through HBP-TRFIA were consistent with the results of fluorescence quantitative immunochromatography (ρ = 0.964). The plasma HBP concentrations of infected tumor patients were significantly higher than those of uninfected tumor patients (P < 0.01).

CONCLUSION

This study successfully established a highly sensitive HBP-TRFIA, which was highly comparable to commercially available fluorescent quantitative immunochromatographic kits and was able to facilitate the timely diagnosis of bacterial or fungal infections in patients with tumor.