Inpatient mortality and healthcare resource utilization of nontraumatic intracerebral hemorrhage complications in the US

Safety and Outcome of Admission to Step-Down Level of Care in Patients with Low-Risk Spontaneous Intracerebral Hemorrhage: A Systematic Review and Meta-analysis

Spontaneous intracerebral hemorrhage (ICH) is the most devastating type of stroke, and it is associated with high morbidity and mortality. Patients with a spontaneous ICH are routinely admitted to an intensive care unit (ICU). However, an ICU is a valuable and limited resource, and not all patients may require this level of care. The authors conducted a systematic review and meta-analysis evaluating the safety and outcome of admission to a step-down level of care or stroke unit (SU) compared to intensive care in adult patients with low-risk spontaneous ICH. PubMed, Embase, and the Cochrane Library were searched for randomized clinical trials and observational cohort studies. The Mantel-Haenszel method or inverse variance, as applicable, was applied to calculate an overall effect estimate for each outcome by combining the specific risk ratio (RR) or standardized mean difference. Risk of bias was analyzed using the Newcastle-Ottawa Scale. The protocol was registered in PROSPERO (CRD42023481915). The primary outcome examined was in-hospital mortality. Secondary outcomes were unfavorable short-term outcome, length of hospital stay, and (re)admission to the ICU. Five retrospective cohort studies involving 1347 patients were included in the qualitative analysis. Two of the studies had severity-matched groups. The definition of low-risk ICH was heterogeneous among the studies. Admission to an SU was associated with a similar rate of mortality compared to admission to an ICU (1.4% vs. 0.6%; RR 1.66; 95% confidence interval [CI] 0.24-11.41; P = 0.61), a similar rate of unfavorable short-term outcome (14.6% vs. 19.2%; RR 0.77; 95% CI 0.43-1.36; P = 0.36), and a significantly shorter mean length of stay (standardized mean difference - 0.87 days; 95% CI - 1.15 to - 0.60; P < 0.01). Risk of bias was low to moderate for each outcome. The available literature suggests that a select subgroup of patients with ICH may be safely admitted to the SU without affecting short-term outcome, potentially saving in-hospital resources and reducing length of stay. Further studies are needed to identify specific and reliable characteristics of this subgroup of patients.

Joblessness, decreased income, and disability in intensive care unit survivors of nontraumatic intracranial hemorrhage in South Korea

OBJECTIVES

To examine the proportions of unemployment, decreased household income, and newly acquired disability, and their impact on long-term mortality after intensive care unit (ICU) admission due to nontraumatic intracranial hemorrhage (IH).

MATERIALS AND METHODS

This nationwide population-based retrospective cohort study enrolled adult patients admitted to the ICU because of nontraumatic IH between 2010 and 2018 in South Korea. Patients who were alive ≥365 days after ICU admission were defined as nontraumatic IH survivors.

RESULTS

In total, 104,086 nontraumatic IH survivors were included in the final analysis. Among them, 7,225 (6.9 %) experienced job loss, 25,709 (24.7 %) experienced decreased household income, and 20,938 (20.1 %) had newly acquired disabilities, of whom 14,188 (13.6 %) had newly acquired brain disabilities. Male sex, increased duration of intensive care unit stay, comorbid status, hospital admission through the emergency room, nontraumatic intracerebral hemorrhage, receipt of surgery, mechanical ventilatory support, and increased total cost of hospitalization were associated with job loss, decreased household income, and newly acquired disabilities. However, these changes were not significantly associated with 2-year all-cause mortality (adjusted hazard ratio: 1.00, 95 % confidence interval: 0.95, 1.06; P = 0.997).

CONCLUSIONS

Many nontraumatic IH survivors experienced unemployment, decreased household income, and newly acquired disability one year after ICU admission in South Korea. Some factors were potential risk factors for these changes, but the changes were not associated with 2-year all-cause mortality.

Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points

Purpose

Accurate prediction of urinary tract infection (UTI) following intracerebral hemorrhage (ICH) can significantly facilitate both timely medical interventions and therapeutic decisions in neurocritical care. Our study aimed to propose a machine learning method to predict an upcoming UTI by using multi-time-point statistics.

Methods

A total of 110 patients were identified from a neuro-intensive care unit in this research. Laboratory test results at two time points were chosen: Lab 1 collected at the time of admission and Lab 2 collected at the time of 48 h after admission. Univariate analysis was performed to investigate if there were statistical differences between the UTI group and the non-UTI group. Machine learning models were built with various combinations of selected features and evaluated with accuracy (ACC), sensitivity, specificity, and area under the curve (AUC) values.

Results

Corticosteroid usage (p < 0.001) and daily urinary volume (p < 0.001) were statistically significant risk factors for UTI. Moreover, there were statistical differences in laboratory test results between the UTI group and the non-UTI group at the two time points, as suggested by the univariate analysis. Among the machine learning models, the one incorporating clinical information and the rate of change in laboratory parameters outperformed the others. This model achieved ACC = 0.773, sensitivity = 0.785, specificity = 0.762, and AUC = 0.868 during training and 0.682, 0.685, 0.673, and 0.751 in the model test, respectively.

Conclusion

The combination of clinical information and multi-time-point laboratory data can effectively predict upcoming UTIs after ICH in neurocritical care.

Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study

BACKGROUND

Red cell distribution width (RDW) is a parameter that indsicates the heterogeneity of red blood cell size and could be a prognostic factor in some diseases. Also, intracerebral hemorrhage (ICH) is considered a vascular event with a high mortality rate. We aimed to examine the role of RDW, neutrophil to lymphocyte ratio (NLR), and neutrophil to platelet ratio (NPR) in predicting the prognosis of patients with ICH.

METHODS

This is a retrospective cohort study conducted on 140 patients with ICH admitted to the neurology ward and intensive care unit (ICU) in Imam Reza Hospital, Tabriz, Iran. Demographic data, National Institutes of Health Stroke Scale (NIHSS), and complete blood count test parameters were evaluated within 24 h after hospitalization. These variables were collected and re-evaluated three months later.

RESULTS

The mean age of the study population was 61.14 (± 16) years and 51% were male. The mean NLR (p = 0.05), neutrophil count (p=0.04), platelet count (p = 0.05), and NIHSS (p<0.01)  had a significant difference between the deceased patients and those who partially recovered after three months. The ROC curve showed that NIHSS (area under curve (AUC): 0.902), followed by NPR (AUC: 0.682) variables had the highest AUC.

CONCLUSION

RDW could be a relevant prognostic factor and predictor in determining 3-months survival in ICH. Nevertheless, further large-scale prospective cohorts might be needed to evaluate the associations.

High Flow Nasal Cannula Decreased Pulmonary Complications in Neurologically Critically Ill Patients

Objective: Pulmonary complications could badly affect the recovery of neurological function and neurological prognosis of neurological critically ill patients. This study evaluated the effect of high-flow nasal cannula (HFNC) therapy on decreasing pulmonary complications in neurologically critically ill patients.

Patients and Methods: The patients admitted to the intensive care unit (ICU) with serious neurological disease and receiving oxygen therapy were retrospectively reviewed (Ethical No. IRB2021-YX-001). Patients were divided into the HFNC group and the conventional oxygen therapy (COT) group. We analyzed the data within these two groups, including patients’ baseline data, short-term outcomes of respiratory complications, general outcomes including hospital stay, ICU stay and mortality, and neurological functions. To analyze the relevant factors, we performed multivariable logistic regression analysis.

Results: A total of 283 patients met the criteria, including 164 cases in the HFNC group and 119 cases in the COT group. The HFNC group had remarkably less mechanical ventilation requirement with lower phlegm viscosity. Even more, ICU stay and total hospital stay were significantly shortened in the HNFC group.

Conclusion: HFNC decreased pulmonary complications in neurologically critically ill patients and improved recovery of neurological function and neurological prognosis.